Journal articles on the topic 'Session and event systems'
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Viering, Malte, Raymond Hu, Patrick Eugster, and Lukasz Ziarek. "A multiparty session typing discipline for fault-tolerant event-driven distributed programming." Proceedings of the ACM on Programming Languages 5, OOPSLA (October 20, 2021): 1–30. http://dx.doi.org/10.1145/3485501.
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This paper presents a formulation of multiparty session types (MPSTs) for practical fault-tolerant distributed programming. We tackle the challenges faced by session types in the context of distributed systems involving asynchronous and concurrent partial failures – such as supporting dynamic replacement of failed parties and retrying failed protocol segments in an ongoing multiparty session – in the presence of unreliable failure detection. Key to our approach is that we develop a novel model of event-driven concurrency for multiparty sessions. Inspired by real-world practices, it enables us to unify the session-typed handling of regular I/O events with failure handling and the combination of features needed to express practical fault-tolerant protocols. Moreover, the characteristics of our model allow us to prove a global progress property for well-typed processes engaged in multiple concurrent sessions, which does not hold in traditional MPST systems. To demonstrate its practicality, we implement our framework as a toolchain and runtime for Scala, and use it to specify and implement a session-typed version of the cluster management system of the industrial-strength Apache Spark data analytics framework. Our session-typed cluster manager composes with other vanilla Spark components to give a functioning Spark runtime; e.g., it can execute existing third-party Spark applications without code modification. A performance evaluation using the TPC-H benchmark shows our prototype implementation incurs an average overhead below 10%.
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KOUZAPAS, DIMITRIOS, NOBUKO YOSHIDA, RAYMOND HU, and KOHEI HONDA. "On asynchronous eventful session semantics." Mathematical Structures in Computer Science 26, no. 2 (November 10, 2014): 303–64. http://dx.doi.org/10.1017/s096012951400019x.
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Event-driven programming is one of the major paradigms in concurrent and communication-based programming, where events are typically detected as the arrival of messages on asynchronous channels. Unfortunately, the flexibility and performance of traditional event-driven programming come at the cost of more complex programs: low-level APIs and the obfuscation of event-driven control flow make programs difficult to read, write and verify.This paper introduces a π-calculus with session types that modelsevent-driven session programming(called ESP) and studies its behavioural theory. The main characteristics of the ESP model are asynchronous, order-preserving message passing, non-blocking detection of event/message arrivals and dynamic inspection of session types. Session types offer formal safety guarantees, such as communication and event handling safety, and programmatic benefits that overcome problems with existing event-driven programming languages and techniques. The new typed bisimulation theory developed for the ESP model is distinct from standard synchronous or asynchronous bisimulation, capturing the semantic nature of eventful session-based processes. The bisimilarity coincides with reduction-closed barbed congruence.We demonstrate the features and benefits of ESP and the behavioural theory through two key use cases. First, we examine an encoding and the semantic behaviour of the event selector, a central component of general event-driven systems, providing core results for verifying type-safe event-driven applications. Second, we examine the Lauer–Needham duality, building on the selector encoding and bisimulation theory to prove that a systematic transformation from multithreaded to event-driven session processes is type- and semantics-preserving.
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Di Mascolo, Maria. "Special Session on Discrete Event Systems French-German Research Cooperation." IFAC Proceedings Volumes 33, no. 17 (July 2000): 191. http://dx.doi.org/10.1016/s1474-6670(17)39398-9.
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Scheid, Jeanette M., Issidoros Sarinopoulos, Sierra Cameron, and Clare Tanner. "Learning Collaborative Events With Child Welfare and Health Care Providers Improve Systems Knowledge and Intent to Change." Journal of Primary Care & Community Health 12 (January 2021): 215013272110483. http://dx.doi.org/10.1177/21501327211048359.
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Introduction: Children in foster care are at higher risk of health problems. These risks present challenges to achieving permanency, safety, and well-being. Despite efforts to improve the systems serving children in foster care, gaps remain in achieving timely and quality health services. Based on stakeholder reports that health care provider knowledge about child welfare systems is a barrier to care, the Fostering Health Partnerships project conducted 2-session learning collaborative events across Michigan. The project team hypothesized that participants would increase knowledge of child welfare policy and that physician participants would identify and commit to practice change to improve health care services to children in foster care. Methods: Learning collaborative events included an in-person session followed by a live webinar session. Participants included child welfare professionals, physicians, and other health care representatives. Participants completed surveys assessing knowledge about child welfare health policy. Physician participants completed a post-event interview. The investigators used pre- and post-intervention survey design and qualitative evaluation of physician interview data to assess the impact of the learning collaborative events on knowledge and practice. Results: A total of 781 individuals attended the initial session and 383 attended the second session of 36 events for 80 counties in Michigan. 247 individuals completed pre- and post-event surveys and 7 physicians completed interviews after the events. Survey data showed that event participants demonstrated increased knowledge of child welfare policy related to health ( P < .001). Interviewed physicians reported making practice changes to improve health care services and indicated that the events were valuable though time intensive. Conclusion: An abbreviated learning collaborative process is an effective tool to improve knowledge and drive practice change. Future efforts will build on this project to improve access, coordination, and quality health services for children in foster care.
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Goharian, Nazli, and Hannah Bast. "Report on women in IR (WIR 2021) at SIGIR 2021." ACM SIGIR Forum 55, no. 2 (December 2021): 1–3. http://dx.doi.org/10.1145/3527546.3527558.
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The SIGIR'21 Women in IR event 1 , co-organized by SIGIR WIR co-chairs, Nazli Goharian (US East Coast) and Hannah Bast (Central Europe), took place on July 13-14 and was attended by ~70 participants. Due to Covid-19, SIGIR'21 was held online. To accommodate all the time zones, we organized two sessions (A and B) on the same topics. Session A, which was scheduled at a good time for the US and Europe, was well attended by around 52 participants. Session B, which was aimed for Asia-Pacific, had only around 15 participants, where several already attended the earlier session. The low attendance of Session B caused a significant delay in the start of the session which impacted negatively the session due to the very late / middle of night of the organizers physical location. This year's theme was " Community Engagement & Influence " covering two topics: 1. Gender pay disparity and the community feedback and input which were captured via a survey and presented during the session, and 2. A presentation and discussion on the notion of hero culture. Date : 13--14 July, 2021.
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Gomes, Diana, Dinis Moreira, João Costa, Ricardo Graça, and João Madureira. "Surf Session Events’ Profiling Using Smartphones’ Embedded Sensors." Sensors 19, no. 14 (July 17, 2019): 3138. http://dx.doi.org/10.3390/s19143138.
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The increasing popularity of water sports—surfing, in particular—has been raising attention to its yet immature technology market. While several available solutions aim to characterise surf session events, this can still be considered an open issue, due to the low performance, unavailability, obtrusiveness and/or lack of validation of existing systems. In this work, we propose a novel method for wave, paddle, sprint paddle, dive, lay, and sit events detection in the context of a surf session, which enables its entire profiling with 88.1% accuracy for the combined detection of all events. In particular, waves, the most important surf event, were detected with second precision with an accuracy of 90.3%. When measuring the number of missed and misdetected wave events, out of the entire universe of 327 annotated waves, wave detection performance achieved 97.5% precision and 94.2% recall. These findings verify the precision, validity and thoroughness of the proposed solution in constituting a complete surf session profiling system, suitable for real-time implementation and with market potential.
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Bostick, David L., Kalvin Yu, Cynthia Yamaga, Ann Liu-Ferrara, Didier Morel, and Ying P. Tabak. "590. Vancomycin Infusion: Algorithmic Analysis of Unstructured Real-World Data Captured from Automated Infusion Devices." Open Forum Infectious Diseases 7, Supplement_1 (October 1, 2020): S358. http://dx.doi.org/10.1093/ofid/ofaa439.784.
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Abstract Background Large scale research on antimicrobial usage in real-world populations traditionally does not consist of infusion data. With automation, detailed infusion events are captured in device systems, providing opportunities to harness them for patient safety studies. However, due to the unstructured nature of infusion data, the scale-up of data ingestion, cleansing, and processing is challenging. Figure 1. Illustration of dosing complexity Methods We applied algorithmic techniques to quantitate and visualize vancomycin administration data captured in real-time by automated infusion devices from 3 acute care hospitals. The device data included timestamped infusion events – infusion started, paused, restarted, alarmed, and stopped. We used time density-based segmentation algorithms to depict infusion sessions as bursts of event activity. We examined clinical interpretability of the cluster-defined sessions in defining infusion events, dosing intensity, and duration. Results The algorithms identified 13,339 vancomycin infusion sessions from 2,417 unique patients (mean = 5.5 sessions per patient). Clustering captured vancomycin infusion sessions consistently with correct event labels in >98% of cases. It disentangled ambiguity associated with unexpected events (e.g. multiple stopped/started events within a single infusion session). Segmentation of vancomycin infusion events on an example patient timeline is illustrated in Figure 1. The median duration of infusion sessions was 1.55 (1st, 3rd quartiles: 1.14, 2.02) hours, demonstrating clinical plausibility. Conclusion Passively captured vancomycin administration data from automated infusion device systems provide ramifications for real-time bed-side patient care practice. With large volume of data, temporal event segmentation can be an efficient approach to generate clinically interpretable insights. This method scales up accuracy and consistency in handling longitudinal dosing data. It can enable real-time population surveillance and patient-specific clinical decision support for large patient populations. Better understanding of infusion data may also have implications for vancomycin pharmacokinetic dosing. Disclosures David L. Bostick, PhD, Becton, Dickinson and Co. (Employee) Kalvin Yu, MD, Becton, Dickinson and Company (Employee)GlaxoSmithKline plc. (Other Financial or Material Support, Funding) Cynthia Yamaga, PharmD, BD (Employee) Ann Liu-Ferrara, PhD, Becton, Dickinson and Co. (Employee) Didier Morel, PhD, Becton, Dickinson and Co. (Employee) Ying P. Tabak, PhD, Becton, Dickinson and Co. (Employee)
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Shareef, Idris, Mohana Kuppuswamy Parthasarathy, Michael A. Webster, Alireza Tavakkoli, and Fang Jiang. "Contributed Session II: Effects of event number and adaptation duration on blur and face aftereffects." Journal of Vision 22, no. 3 (February 1, 2022): 22. http://dx.doi.org/10.1167/jov.22.3.22.
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Råman, Tanja. "Systems of Co-Creation Artistic reflection." Nordic Journal of Dance 6, no. 2 (December 1, 2015): 32–39. http://dx.doi.org/10.2478/njd-2015-0014.
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Abstract This article is an artistic reflection of a research project called Please Switch On Your Mobile Phones (PSOYMP) that took place in three venues in Wales in 2014. The aim of PSOYMP was to develop new tools for audience interaction with on-stage dance, with the intention of developing new audiences. The project utilised an action research model to create a flexible choreographic and digital hybrid system that enabled the audience to collaborate in real time with the creative team–a choreographer, five dancers, a digital artist and a technologist–using mobile phones and tablets. The project resulted in the creation of an hour-long performance event. This was developed through three stages that included a week-long residency in each stage and a public performance event with a feedback session at the end of each residency. The final event was streamed live via YouTube and a web-based application, which allowed the online audience to participate in the event and to collaborate with the creative team in a similar way to the in-house audience. This article focusses on the creative process and discusses the nature and the development of the collaboration between the creative team and the audience.
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Tsukahara, Kenichi, and Toshimitsu Komatsu. "Special Issue on the International Symposium on River Technologies for Innovations and Social Systems at the WECC2015 and the Special Session on Disaster Risk Management at the 11th I3R2." Journal of Disaster Research 11, no. 6 (December 1, 2016): 1211. http://dx.doi.org/10.20965/jdr.2016.p1211.
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The Standing Technical Committees on Disaster Risk Management (CDRM) of the World Federation of Engineering Organizations (WFEO) play an important role in collecting and disseminating DRM-related information and knowledge that will conceivably help engineering society members take effective disaster mitigation measures. As part of achieving this mission, the CDRM conducted two important 2015 events – the WFEO-CDRM Special Session on Disaster Risk Management at the 11th International Conference of the International Institute for Infrastructure Resilience and Reconstruction (I3R2) (I3R2 session) held in Seoul, Korea, and the 9th Joint International Symposium on Disaster Risk Management conducted in conjunction with the International Symposium on River Technologies for Innovations and Social Systems held in the 2015 World Engineering Conference and Convention (WECC2015) in Kyoto, Japan (WECC2015 symposium). The I3R2 session featured seven presentations. During the first half, disaster-cause papers covered high typhoon tides, earthquakes, and rain-induced soil erosion. The second half focused on mitigation-measure presentations such as recovery/reconstruction and regional support for mothers and children in the event of disasters. The WECC2015 symposium featured ten presentations by ten speakers with widely varied backgrounds in disaster mitigation, river engineering, international cooperation, UNESCO regional centers, NPO management, science and technology sections at embassies, and ferry and resort complex management. These informative, meaningful presentations close with active and informative Q&A sessions. In this special issue, five presentations that were revised as a form of academic paper were selected and published. I hope that these papers will be utilized for further advancement of disaster mitigation measures.
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Begishev, Vyacheslav, Edward Sopin, Dmitri Moltchanov, Andrey Samuylov, Yuliya Gaidamaka, and Konstantin Samouylov. "Performance evaluation of bandwidth reservation for mmWave in 5G NR systems." Information and Control Systems, no. 5 (October 17, 2019): 51–63. http://dx.doi.org/10.31799/1684-8853-2019-5-51-63.
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Introduction: In 3GPP New Radio (NR) systems, frequent radio propagation path blockages can lead to the disconnection of ongoingsessions already accepted into the system, reducing the quality of service in the network. Controlling access to system resource byprioritizing for the ongoing sessions can increase the session continuity. In this paper, we propose resource allocation with a reservationmechanism. Purpose: Development of a mathematical model for analyzing the effect of this mechanism on other system performanceindicators – dropping probabilities for new and ongoing sessions and system utilization. The model takes into account the key featuresof the 3GPP NR technology, including the height of the interacting objects, the spatial distribution and mobility of the blockers, as wellas the line-of-sight propagation properties between the transceivers for mmWave NR technology. Results: We analyzed the reservationmechanism with the help of a developed model in the form of a resource queueing system with signals, where the base station bandwidthcorresponds to the resource, and the signals model a change in the line-of-sight conditions between the receiving and transmittingdevices. Creating a priority for ongoing sessions whose service has not yet been completed provides a considerable flexibility forbalancing the session continuity and dropping of a new session, with a slight decrease in the efficiency of the radio resource utility. Withthe developed model, we showed that reserving even a small bandwidth (less than 10% of the total resources) to maintain the ongoingsessions has a positive effect on their continuity, as it increases the probability of their successful completion. Practical relevance:
The proposed mechanism works more efficiently in overload conditions and with sessions which have a high data transfer raterequirements. This increases the demand for the proposed mechanism in 5G NR communication systems.
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Hu, Senqi, and Lumei Hui. "Adaptation to Optokinetic Rotation-Induced Motion Sickness without Experiencing Nausea." Perceptual and Motor Skills 84, no. 3_suppl (June 1997): 1235–40. http://dx.doi.org/10.2466/pms.1997.84.3c.1235.
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17 subjects highly susceptible to motion sickness were divided into Nausea and No-nausea groups depending upon whether the subjects experienced nausea during adaptation to nauseagenic rotation. Eight subjects in the Nausea group viewed an optokinetic rotation drum for repeated sessions of 16 min., with an interval of two days between every two sessions. During each session the subjects continuously viewed the rotating drum 16 min. even if they experienced nausea. Nine subjects in the No-nausea group likewise viewed an optokinetic rotation drum for at most 16 min. but immediately stopped viewing the rotating drum whenever they experienced nausea during the session. The criteria for full adaptation were that the subject reported no feelings of stomach discomfort and nausea during a 16–min. session. The mean number of sessions to reach full adaptation was 3.9 ( SD = 0.6) with a range 3 to 5 sessions for the subjects in the Nausea group and 3.2 ( SD = 0.8) with a range 2 to 4 for the subjects in the No-nausea group. It was concluded that subjects can adapt to a nauseagenic optokinetic rotation by repeated exposure without experiencing nausea and vomiting during adaptation.
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Sadeghi, Mahnoosh, Anthony D. McDonald, and Farzan Sasangohar. "Posttraumatic stress disorder hyperarousal event detection using smartwatch physiological and activity data." PLOS ONE 17, no. 5 (May 18, 2022): e0267749. http://dx.doi.org/10.1371/journal.pone.0267749.
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Posttraumatic Stress Disorder (PTSD) is a psychiatric condition affecting nearly a quarter of the United States war veterans who return from war zones. Treatment for PTSD typically consists of a combination of in-session therapy and medication. However; patients often experience their most severe PTSD symptoms outside of therapy sessions. Mobile health applications may address this gap, but their effectiveness is limited by the current gap in continuous monitoring and detection capabilities enabling timely intervention. The goal of this article is to develop a novel method to detect hyperarousal events using physiological and activity-based machine learning algorithms. Physiological data including heart rate and body acceleration as well as self-reported hyperarousal events were collected using a tool developed for commercial off-the-shelf wearable devices from 99 United States veterans diagnosed with PTSD over several days. The data were used to develop four machine learning algorithms: Random Forest, Support Vector Machine, Logistic Regression and XGBoost. The XGBoost model had the best performance in detecting onset of PTSD symptoms with over 83% accuracy and an AUC of 0.70. Post-hoc SHapley Additive exPlanations (SHAP) additive explanation analysis showed that algorithm predictions were correlated with average heart rate, minimum heart rate and average body acceleration. Findings show promise in detecting onset of PTSD symptoms which could be the basis for developing remote and continuous monitoring systems for PTSD. Such systems may address a vital gap in just-in-time interventions for PTSD self-management outside of scheduled clinical appointments.
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Park, Jounsup. "Multi-Session Multicasting for 360-Degree Video Multicast over OFDMA Systems." International Journal of Digital Multimedia Broadcasting 2021 (June 16, 2021): 1–19. http://dx.doi.org/10.1155/2021/5560312.
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360-degree video content provides a rich and immersive multimedia experience to viewers by allowing viewers to the video from any angle. However, 360-degree videos require much higher bandwidth to be delivered over mobile networks compared to conventional videos. Multicasting of the videos is one of the solutions to efficiently utilize the limited bandwidth since many viewers share the wireless spectrum resource for popular videos, such as sports events or musical concerts. LTE eMBMS assigns the videos to the video sessions, and multiple viewers can subscribe to the same video allocated to the video sessions. Moreover, the tiling of the 360-degree video makes it possible to control the regional quality of the video. The tiles that are likely to be seen by many viewers should have higher quality than other tiles to satisfy more viewers. In this paper, we proposed the Multi-Session Multicast (MSM) system to optimally allocate the wireless resources to tiles with different qualities to maximize the expected user experience. The experimental results show that the proposed MSM system provides higher quality videos to viewers using limited wireless resources.
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Wen, Yan, Shitao Kang, Qingtian Zeng, Hua Duan, Xin Chen, and Wenkai Li. "Session-Based Recommendation with GNN and Time-Aware Memory Network." Mobile Information Systems 2022 (April 29, 2022): 1–12. http://dx.doi.org/10.1155/2022/1879367.
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The goal of the session-based recommendation system (SBRS) is to predict the user’s next behavior based on anonymous sessions. Since long-term historical information of users is not available, deep learning technology has become the mainstream technology in session-based recommendation systems instead of traditional content-based recommendation methods. However, most SBRS methods only consider the session itself, ignoring the collaborative information from other sessions. Even if some SBRS models consider collaborations between sessions, they mostly use the click order to calculate the similarity only and ignore the time the user spends on different items, which might imply the user’s varying interest on these items. In this paper, we propose a session-based recommendation model with GNN and time-aware memory networks (SR-GTM), which learns the user’s interest representation by combining the information from the session itself and the collaborative information from relevant neighbor sessions. Specifically, SR-GTM mainly includes inner feature extraction module (IFEM) and outer feature extraction module (OFEM). IFEM uses GNN to learn the session features based on its item sequence, and OFEM uses a memory network with dwell time information encoded to extract collaborative information. Finally, SR-GTM aggregates IFEM and OFEM by the gating mechanism and then decodes the output by a softmax layer to obtain the recommendation score for each candidate item. Experiments on three public datasets Yoochoose1/64, Yoochoose1/4, and RetailRocket show that SR-GTM achieves optimal performance compared with other state-of-the-art methods. More specifically, SR-GTM has improvements of 0.77%, 0.38%, and 3.63% over the best baseline method in P@20 and has improvements of 2.91%, 2.52%, and 2.49% in MRR@20, respectively.
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Clarke, Martina A., Neeru M. Sharma, and Alicia M. Schiller. "An outreach program with hands-on, physiology-based exercises generates questions about STEM career expectations." Advances in Physiology Education 43, no. 2 (June 1, 2019): 175–79. http://dx.doi.org/10.1152/advan.00013.2019.
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Scientific advocacy and outreach programs are encouraged to increase public understanding of scientific knowledge and generate interest in science, technology, engineering, and mathematics (STEM) careers. However, evaluation of these events’ effectiveness is difficult and somewhat rare. This study’s purpose was to better understand how effective an established physiology-based outreach program was in generating interest in STEM careers, while simultaneously providing information that can be used to increase the effectiveness of future events. We partnered with a private school located in Omaha, Nebraska, where 64–80 students participated in 3 h of physiology-based activities presented by volunteers from the University of Nebraska Medical Center. The event included a brief presentation of the eye, sensory, heart, and lung systems, followed by hands-on demonstrations and activities. Each session concluded with 15 min of questions and answers (Q&A), where students were encouraged to engage the volunteers in inquiries about what they just learned, career-related questions, or any topic of their choosing. Each Q&A session was audio recorded and evaluated using thematic analysis to identify patterns in the Q&A data. Two major themes of questions were identified: 1) scientific content (animal circulatory systems and how organs are affected by disease or stimulus); and 2) career-related content, including typical day-to-day activities of a scientist and the volunteers’ satisfaction with a scientific career. We conclude that hands-on physiology-based learning opportunities are effective in generating short-term interest in STEM content and careers. The results of this study will also facilitate informed modification of event content to better suit student’s interests.
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BOREALE, MICHELE, ROBERTO BRUNI, ROCCO DE NICOLA, and MICHELE LORETI. "CaSPiS: a calculus of sessions, pipelines and services." Mathematical Structures in Computer Science 25, no. 3 (November 10, 2014): 666–709. http://dx.doi.org/10.1017/s0960129512000953.
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Service-oriented computing is calling for novel computational models and languages with well-disciplined primitives for client–server interaction, structured orchestration and unexpected events handling. We present CaSPiS, a process calculus where the conceptual abstractions of sessioning and pipelining play a central role for modelling service-oriented systems. CaSPiS sessions are two-sided, uniquely named and can be nested. CaSPiS pipelines permit orchestrating the flow of data produced by different sessions. The calculus is also equipped with operators for handling (unexpected) termination of the partner's side of a session. Several examples are presented to provide evidence of the flexibility of the chosen set of primitives. One key contribution is a fully abstract encoding of Misra et al.'s orchestration language Orc. Another main result shows that in CaSPiS it is possible to program a ‘graceful termination’ of nested sessions, which guarantees that no session is forced to hang forever after the loss of its partner.
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Shen, Fangyao, Yong Peng, Guojun Dai, Baoliang Lu, and Wanzeng Kong. "Coupled Projection Transfer Metric Learning for Cross-Session Emotion Recognition from EEG." Systems 10, no. 2 (April 11, 2022): 47. http://dx.doi.org/10.3390/systems10020047.
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Distribution discrepancies between different sessions greatly degenerate the performance of video-evoked electroencephalogram (EEG) emotion recognition. There are discrepancies since the EEG signal is weak and non-stationary and these discrepancies are manifested in different trails in each session and even in some trails which belong to the same emotion. To this end, we propose a Coupled Projection Transfer Metric Learning (CPTML) model to jointly complete domain alignment and graph-based metric learning, which is a unified framework to simultaneously minimize cross-session and cross-trial divergences. By experimenting on the SEED_IV emotional dataset, we show that (1) CPTML exhibits a significantly better performance than several other approaches; (2) the cross-session distribution discrepancies are minimized and emotion metric graph across different trials are optimized in the CPTML-induced subspace, indicating the effectiveness of data alignment and metric exploration; and (3) critical EEG frequency bands and channels for emotion recognition are automatically identified from the learned projection matrices, providing more insights into the occurrence of the effect.
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Cornell, C. Allin. "Session VIII Summary: Assessment." Applied Mechanics Reviews 46, no. 5 (May 1, 1993): 262–63. http://dx.doi.org/10.1115/1.3120351.
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The working group took its objective to be the formulation of a set of research and development recommendations for assessment of aging energy systems. The material discussed in every session at this workshop has relevance to the assessment of characteristics such as the current state of these facilities or their components. Indeed many of the items we cite will appear elsewhere as well. The focus we have maintained, however, is assessment for the direct purpose of decision making. The decisions may have to do with increasing inspection, monitoring or analysis, or with repair, or even with closure and replacement. The assessment may be the risk assessment of an individual structure or the problem may be that of designing a cost-efficient inventory of the status of a large “fleet” of facilities.
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Takeshima, Yasuhiro. "Rapid Temporal Recalibration to Audiovisual Asynchrony Occurs Across the Difference in Neural Processing Speed Based on Spatial Frequency." i-Perception 11, no. 5 (September 2020): 204166952096661. http://dx.doi.org/10.1177/2041669520966614.
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Audiovisual integration relies on temporal synchrony between visual and auditory stimuli. The brain rapidly adapts to audiovisual asynchronous events by shifting the timing of subjective synchrony in the direction of the leading modality of the most recent event, a process called rapid temporal recalibration. This phenomenon is the flexible function of audiovisual synchrony perception. Previous studies found that neural processing speed based on spatial frequency (SF) affects the timing of subjective synchrony. This study examined the effects of SF on the rapid temporal recalibration process by discriminating whether the presentation of the visual and auditory stimuli was simultaneous. I compared the magnitudes of the recalibration effect between low and high SF visual stimuli using two techniques. First, I randomly presented each SF accompanied by a tone during one session, then in a second experiment, only a single SF was paired with the tone throughout the one session. The results indicated that rapid recalibration occurred regardless of difference in presented SF between preceding and test trials. The recalibration magnitude did not significantly differ between the SF conditions. These findings confirm that intersensory temporal process is important to produce rapid recalibration and suggest that rapid recalibration can be induced by the simultaneity judgment criterion changes attributed to the low-level temporal information of audiovisual events.
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Ahlers, Dirk, Erik Wilde, Marc Spaniol, Ricardo Baeza-Yates, and Omar Alonso. "Report on the 11th international workshop on location and the web (LocWeb 2021) and the 11th temporal web analytics workshop (TempWeb2021) at WWW2021." ACM SIGIR Forum 55, no. 2 (December 2021): 1–7. http://dx.doi.org/10.1145/3527546.3527555.
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LocWeb and TempWeb 2021 were the eleventh events in their workshop series and took place co-located on 12 th April 2021 in conjunction with The Web Conference WWW 2021. They were intended to be held in Ljubljana, Slovenia as a potentially hybrid event, but due to the pandemic, were fully moved online. LocWeb and TempWeb were held as one colocated session with a merged programme and shared topics to explore similarities and introduce attendees to the two related and complementary areas. LocWeb 2021 explored the intersection of location-based analytics and Web architecture with a focus on on Web-scale services and location-aware information access. TempWeb 2021 discussed temporal analytics at a Web scale with experts from science and industry. Date : 12 April, 2021. Websites : https://dhere.de/locweb/locweb2021 and http://temporalweb.net/.
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da Silva, Helber Wagner, and Augusto José Venâncio Neto. "Resilient Multiuser Session Control in Softwarized Fog-Supported Internet of Moving Thing Systems." Sensors 19, no. 12 (June 20, 2019): 2766. http://dx.doi.org/10.3390/s19122766.
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The combination of IoT and mobility promises to open a new frontier of innovations in smart environments, through the advent of the Internet of Moving Things (IoMT) paradigm. In IoMT, an array of IoT devices leverage IP-based mobile connectivity to provide a vast range of data ubiquitously. The IoMT realization will foster smart environments at unprecedented levels, by efficiently affording services and applications whereby today’s technologies make their efficiency unfeasible, such as autonomous driving and in-ambulance remotely-assisted patient. IoMT-supported mission-critical applications push computing and networking requirements to totally new levels that must be met, raising the need for refined approaches that advance beyond existing technologies. In light of this, this paper proposes the Resilient MultiUser Session Control (ReMUSiC) framework, which deploys emerging softwarization and cloudification technologies to afford flexible, optimized and self-organized control plane perspectives. ReMUSiC extends our previous work through the following innovations. A quality-oriented resilience mechanism is capable of responding to network dynamics events (failure and mobility) by readapting IoMT multiuser mobile sessions. A softwarized networking control plane that allows to, at runtime, both fetch current network state and set up resources in the attempt to always keep affected IoMT multiuser mobile sessions best-connected and best-served. A cloudification approach allows a robust environment, through which cloud- and fog-systems interwork to cater to performance-enhanced capabilities. The IoMT’s suitability and performance impacts by ReMUSiC framework use are assessed through real testbed prototyping. Impact analysis in Quality of Service (QoS) performance and perceived Quality of Experience (QoE), demonstrate the remarkable abilities of the ReMUSiC framework, over a related approach, in keeping IoMT multiuser mobile sessions always best-connected and best-served.
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Mehta, Parth, Thomas Mandl, Prasenjit Majumder, and Surupendu Gangopadhyay. "Report on the FIRE 2020 evaluation initiative." ACM SIGIR Forum 55, no. 1 (June 2021): 1–11. http://dx.doi.org/10.1145/3476415.3476418.
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This report gives an overview on the Forum for Information Retrieval Evaluation (FIRE) initiative for South-Asian languages 1 . The FIRE conference was conducted online in December 2020. The event combined a conference including keynotes, peer reviewed paper session with an Evaluation Forum. This report will present an overview of the conference and provide insights into the evaluation tracks. Current domains include legal information access, mixed script information retrieval, semantic analysis and social media posts classification. The tasks are discussed and connections to other evaluation initiatives are shown.
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Ghosh, Maitrayee. "Transforming our libraries, ourselves: ALA in Las Vegas – a brief outline with focus on international programs." Library Hi Tech News 32, no. 2 (April 7, 2015): 17–19. http://dx.doi.org/10.1108/lhtn-02-2015-0011.
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Purpose – The author shares information about the American Library Association’s 133rd annual conference in Las Vegas. This conference served as an open forum for participants on incredible range of topics, namely, e-books, digital content, innovation and community engagement, library instruction, copyright, outreach, privacy, library advocacy, literacy, data-driven decision making, intellectual freedom, teen services, gaming, leadership and best practices on a range of library-related concerns. Design/methodology/approach – This report is a brief outline of ALA 2014 annual conference in Las Vegas with focus on international programs. It summarizes selective events, including author’s presentation on e-books advocacy in India, International Librarians’ Reception and paper session organized by IRRT. Findings – ALA annual conference at Las Vegas was one of the best professional development opportunities for librarians, with a large variety of programs, activities and exhibition. The event attracted librarians from all sectors and work environments from many countries and highlighted issues in librarianship and latest technology development; its use in libraries will be of interest to this journal’s readership, especially information professionals from all over the world. Originality/value – ALA Annual conference in June 26-July 1, 2014 was the largest conference of librarians touched all topics in librarianship. It is difficult to describe the entire conference events even briefly in an article. The author’s experiences during the international events are highlighted.
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Wang, Jian Jun. "The Building of College Network Experiment Platform for IPv6 QoS." Applied Mechanics and Materials 443 (October 2013): 468–72. http://dx.doi.org/10.4028/www.scientific.net/amm.443.468.
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This paper presents an object-event mechanism based overlay network simulation experimental platform (ONSP). The platform adopts object-oriented approaches to provide an effective application-layer active network simulation method. The method abstracts network elements, simulates the change of system performance through parameters setting, and introduces users session triggered by event. This strategy conducts experiments avoiding unnecessary construction of actual physical network, so that to save the cost of the experiment and to make mass network tests possible. At another time, the platform has established a complete performance evaluation model, and can synthetically measure the relative performance of variety of services to ensure the accuracy of test results. The productions in this paper will provide important support to overlay network services technology, QoS-assure technology, and applications of distributed multimedia systems.
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Jung, Dominik, Marc Adam, Verena Dorner, and Anuja Hariharan. "A practical guide for human lab experiments in information systems research." Journal of Systems and Information Technology 19, no. 3/4 (August 14, 2017): 228–56. http://dx.doi.org/10.1108/jsit-06-2017-0049.
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Purpose Human lab experiments have become an established method in information systems research for investigating user behavior, perception and even neurophysiology. The purpose of this paper is to facilitate experimental research by providing a practical guide on how to implement and conduct lab experiments in the freely available experimental platform Brownie. Design/methodology/approach Laying the groundwork of the tutorial, the paper first provides a brief overview of common design considerations for lab experiments and a generic session framework. Building on the use case of the widely used trust game, the paper then covers the different stages involved in running an experimental session and maps the conceptual elements of the study design to the implementation of the experimental software. Findings The paper generates findings on how computerized lab experiments can be designed and implemented. Furthermore, it maps out the design considerations an experimenter may take into account when implementing an experiment and organizing it along a session structure (e.g. participant instructions, individual and group interaction, state and trait questionnaires). Originality/value The paper reduces barriers for researchers to engage in experiment implementation and replication by providing a step-by-step tutorial for the design and implementation of human lab experiments.
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Barka, E., and A. Lakas. "Integrating Usage Control with SIP-Based Communications." Journal of Computer Systems, Networks, and Communications 2008 (2008): 1–8. http://dx.doi.org/10.1155/2008/380468.
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The Session Initiation Protocol (SIP) is a signaling protocol used for establishing and maintaining communication sessions involving two or more participants. SIP was initially designed for voice over IP and multimedia conferencing, and then was extended to support other services such as instant messaging and presence management. Today, SIP is also adopted to be used with 3G wireless networks, thus it becomes an integral protocol for ubiquitous environment. SIP has various methods that support a variety of applications such as subscribing to a service, notification of an event, status update, and location and presence services. However, when it comes to security, the use of wireless and mobile communication technologies and the pervasive nature of this environment introduce higher risks to security than that of the old simple environment. In this paper, we introduce new architecture that implements a new type of access control called usage access control (UCON) to control the access to the SIP-based communication at preconnection, during connection, and postconnection. This will enable prescribers of SIP services to control who can identify their locations to approve or disapprove their subsequent connections, and to also set some parameters to determine whether a certain communication can continue or should terminate.
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Rogers, Sara L., George P. Patrinos, Christina Mitropoulou, Christine M. Formea, J. Shawn Jones, and Benjamin G. Brown. "Inaugural Pharmacogenomics Access and Reimbursement Symposium." Pharmacogenomics 22, no. 9 (June 2021): 515–17. http://dx.doi.org/10.2217/pgs-2021-0016.
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The Pharmacogenomics Access & Reimbursement Symposium, a landmark event presented by the Golden Helix Foundation and the Pharmacogenomics Access & Reimbursement Coalition, was a 1-day interactive meeting comprised of plenary keynotes from thought leaders across healthcare that focused on value-based strategies to improve patient access to personalized medicine. Stakeholders including patients, healthcare providers, industry, government agencies, payer organizations, health systems and health policy organizations convened to define opportunities to improve patient access to personalized medicine through best practices, successful reimbursement models, high quality economic evaluations and strategic alignment. Session topics included health technology assessment, health economics, health policy and value-based payment models and innovation.
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BORGES, JOSÉ, and MARK LEVENE. "A COMPARISON OF SCORING METRICS FOR PREDICTING THE NEXT NAVIGATION STEP WITH MARKOV MODEL-BASED SYSTEMS." International Journal of Information Technology & Decision Making 09, no. 04 (July 2010): 547–73. http://dx.doi.org/10.1142/s0219622010003956.
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The problem of predicting the next request during a user's navigation session has been extensively studied. In this context, higher-order Markov models have been widely used to model navigation sessions and to predict the next navigation step, while prediction accuracy has been mainly evaluated with the hit and miss score. We claim that this score, although useful, is not sufficient for evaluating next link prediction models with the aim of finding a sufficient order of the model, the size of a recommendation set, and assessing the impact of unexpected events on the prediction accuracy. Herein, we make use of a variable length Markov model to compare the usefulness of three alternatives to the hit and miss score: the Mean Absolute Error, the Ignorance Score, and the Brier score. We present an extensive evaluation of the methods on real data sets and a comprehensive comparison of the scoring methods.
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McCormack, Michael D., David E. Zaucha, and Dennis W. Dushek. "First‐break refraction event picking and seismic data trace editing using neural networks." GEOPHYSICS 58, no. 1 (January 1993): 67–78. http://dx.doi.org/10.1190/1.1443352.
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Interactive seismic processing systems for editing noisy seismic traces and picking first‐break refraction events have been developed using a neural network learning algorithm. We employ a backpropagation neural network (BNN) paradigm modified to improve the convergence rate of the BNN. The BNN is interactively “trained” to edit seismic data or pick first breaks by a human processor who judiciously selects and presents to the network examples of trace edits or refraction picks. The network then iteratively adjusts a set of internal weights until it can accurately duplicate the examples provided by the user. After the training session is completed, the BNN system can then process new data sets in a manner that mimics the human processor. Synthetic modeling studies indicate that the BNN uses many of the same subjective criteria that humans employ in editing and picking seismic data sets. Automated trace editing and first‐break picking based on the modified BNN paradigm achieve 90 to 98 percent agreement with manual methods for seismic data of moderate to good quality. Productivity increases over manual editing, and picking techniques range from 60 percent for two‐dimensional (2-D) data sets and up to 800 percent for three‐dimensional (3-D) data sets. Neural network‐based seismic processing can provide consistent and high quality results with substantial improvements in processing efficiency.
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Sherstnev, Vladimir V. "P. K. Anokhin’s answer to E. A. Asratyan’s review of “Biology and neurophysiology of conditioned reflex” monograph. Echo of Pavlovian session." I.P. Pavlov Russian Medical Biological Herald 29, no. 4 (December 15, 2021): 557–65. http://dx.doi.org/10.17816/pavlovj61019.
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The article presents previously unpublished documents, comments, and materials that were directly related to significant events in the life and performance of a Russian scientist and academician P. K. Anokhin, such as the Lenin Prize award and the Pavlovian session. The text of P. K. Anokhins answer to the review of a corresponding member of the USSR Academy of Sciences E. A. Asratyan of P. K. Anokhins monograph Biology and Neurophysiology of Conditioned Reflex submitted to the competition for the Lenin Prize, was published. In 1972, P. K. Anokhin was awarded the Lenin Prize for the monograph Biology and Neurophysiology of Conditioned Reflex. P. K. Anokhin answered the accusatory statements of the reviewer concerning the danger of the functional system for the Pavlovian doctrine and the analytical nature of the scientific method of I. P. Pavlov and answered critical questions about the synthetic and systemic approach and the priority in the development of the theory of systems and feedback.
The work presented literature facts that the statements and questions of Asratyan were consistent with his accusatory comments about P. K. Anokhin at the Pavlovian session the scientific session of the USSR Academy of Sciences and of the USSR Academy of Medical Sciences, dedicated to the physiological doctrine of academician I. P. Pavlov, which was held in Moscow in JulyAugust 1950. At the session, P. K. Anokhin was accused of revision of the ideological foundations of Pavlovs teachings and of detraction of the significance of Pavlovs theory of the higher nervous activity.
After the Pavlovian session, P. K. Anokhin was dismissed from the post of the director of Institute of Physiology of the USSR Academy of Medical Sciences, dismissed from the Presidium of the USSR Academy of Medical Sciences, and appointed Professor of the Department of Physiology of Ryazan Medical Institute. Over the years, E. A. Asratyan persistently criticized P. K. Anokhin as the opponent of I. PPavlovs teaching and actively rejected the theory of functional systems.
Conclusion: The presented documents have not lost their significance even now. These documents are important for understanding the ideological essence of the systemic approach and of the theory of functional systems and are interesting for the history of Russian physiological science and medicine.
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Mazurik, N. A. "The Twenty Third International Conference «LIBCOM–2019» – «Information technologies, computer systems and publications for libraries». (Review of events)." Scientific and Technical Libraries, no. 3 (March 24, 2020): 93–112. http://dx.doi.org/10.33186/1027-3689-2020-3-93-112.
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The Twenty Third International Conference “LIBCOM-2019”– “Information Technologies, Computer Systems and Publications for Libraries” (November 18-22, 2019, Suzdal, Russia) is reviewed. The main program events are discussed: the Conference opening ceremony and plenary meeting; the Central Discussion Site “Five Years of the Project “National and Centralized Subscription to International Indexed Databases and Full-text Resources”; open session Digital Libraries and Library and Information Resources: Trends, problems, prospects”, “Information Support of Science and Education” and “Innovations and New Functionality of Modern Library. New Software and Technological Solutions”; discussion site “Open Access, scientometrics and bibliometrics”; master class “Web of Science: New Opportunities for Russian Scholars”. It is highlighted that for the first time within the framework of the Conference the school discussion site “Ecological Education forRussia’s Sustainable Development”, and the discussion site “Kids. School. Library. Society: A Contemporary View” were held. The conclusions are made. The speakers at “LIBCOM–2019” final session indicated the special character of the Conference – interactivity of events (discussion sites, master classes, round tables), participants’ activity at discussions, discussion of vital issues.
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Kas, Martien J. H., Adrie W. Bruijnzeel, Jurgen R. Haanstra, Victor M. Wiegant, and Roger A. H. Adan. "Differential regulation of agouti-related protein and neuropeptide Y in hypothalamic neurons following a stressful event." Journal of Molecular Endocrinology 35, no. 1 (August 2005): 159–64. http://dx.doi.org/10.1677/jme.1.01819.
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Stress affects eating behaviour in rodents and humans, suggesting that the regulation of energy balance and the stress response are coupled physiological processes. Neuropeptide Y (NPY) and agouti-related protein (AgRP) are potent food-stimulating neuropeptides that are highly co-localised in arcuate nucleus neurons of the hypothalamus. Recent studies have shown that NPY and AgRP mRNA levels in these neurons respond similarly to fasting and leptin, indicating functional redundancy of the neuropeptide systems in these orexigenic neurons. However, we have found that NPY and AgRP mRNA expression in arcuate nucleus neurons are dissociated immediately following a stressful event. Two hours following a brief session of inescapable foot shocks, AgRP mRNA levels are down-regulated (P < 0.0001). In contrast, NPY mRNA levels are up-regulated (P < 0.0001). To provide physiological relevance for this acute down-regulation of AgRP, an inverse agonist of melanocortin receptors, we have shown that acute intracerebroventricular injection of a melanocortin receptor agonist, α-melanocyte-stimulating hormone (α-MSH), caused a significantly stronger activation of the hypothalamus–pituitary–adrenal-cortical (HPA) axis following a stressful event than in controls. Thus, AgRP and NPY mRNA levels in similar arcuate nucleus neurons are differentially regulated following a stressful event. This may contribute to increased sensitivity for α-MSH to activate the HPA axis following a repeated stressful experience.
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Ardimento, Pasquale, Mario Luca Bernardi, Marta Cimitile, Domenico Redavid, and Stefano Ferilli. "Understanding Coding Behavior: An Incremental Process Mining Approach." Electronics 11, no. 3 (January 27, 2022): 389. http://dx.doi.org/10.3390/electronics11030389.
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Capturing and analyzing interaction data in real-time from development environments can help in understanding how programmers handle coding activities. We propose the use of process mining to learn coding behavior from event logs captured from a customized Integrated Development Environment, concerning interactions with both such an environment and a Version Control System. In particular, by using an incremental approach, the discovered model can be refined after every single development session, which avoids the need to for the model to learn from scratch from previous sessions. It would also allow one to provide the programmer timely suggestions to improve their performance. In this paper, we applied off-line incremental behavior, so as to be able to analyze it at several levels of depth and at different moments. As a preliminary evaluation of our approach, we investigated the coding activities of six novice students of a Java academic programming course working on a programming case study. The results provide some useful information about the initial difficulties in coding activities faced by programmers and show that their coding behavior could be considered as “formed” after a development task requiring approximately 4000 rows of code.
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Grasch, Peter, and Alexander Felfernig. "On the Importance of Subtext in Recommender Systems." icom 14, no. 1 (April 15, 2015): 41–52. http://dx.doi.org/10.1515/icom-2015-0017.
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AbstractConversational recommender systems have been shown capable of allowing users to navigate even complex and unknown application domains effectively. However, optimizing preference elicitation remains a largely unsolved problem. In this paper we introduce SPEECHREC, a speech-enabled, knowledge-based recommender system, that engages the user in a natural-language dialog, identifying not only purely factual constraints from the users’ input, but also integrating nuanced lexical qualifiers and paralinguistic information into the recommendation strategy. In order to assess the viability of this concept, we present the results of an empirical study where we compare SPEECHREC to a traditional knowledge-based recommender system and show how incorporating more granular user preferences in the recommendation strategy can increase recommendation quality, while reducing median session length by 46 %.
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Specht, Mariusz. "Statistical Distribution Analysis of Navigation Positioning System Errors—Issue of the Empirical Sample Size." Sensors 20, no. 24 (December 13, 2020): 7144. http://dx.doi.org/10.3390/s20247144.
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Positioning systems are used to determine position coordinates in navigation (air, land, and marine). Statistical analysis of their accuracy assumes that the position errors (latitude—δφ and longitude—δλ) are random and that their distributions are consistent with the normal distribution. However, in practice, these errors do not appear in a random way, since the position determination in navigation systems is done with an iterative method. It causes so-called “Position Random Walk”, similar to the term “Random Walk” known from statistics. It results in the empirical distribution of δφ and δλ being inconsistent with the normal distribution, even for samples of up to several thousand measurements. This phenomenon results in a significant overestimation of the accuracy of position determination calculated from such a short series of measurements, causing these tests to lose their representativeness. This paper attempts to determine the length of a measurement session (number of measurements) that is representative of the positioning system. This will be a measurement session of such a length that the position error statistics (δφ and δλ) represented by the standard deviation values are close to the real values and the calculated mean values (φ¯ and λ¯) are also close to the real values. Special attention will also be paid to the selection of an appropriate (statistically reliable) number of measurements to be tested statistically to verify the hypothesis that the δφ and δλ distributions are consistent with the normal distribution. Empirical measurement data are taken from different positioning systems: Global Positioning System (GPS) (168′286 fixes), Differential Global Positioning System (DGPS) (864′000 fixes), European Geostationary Navigation Overlay Service (EGNOS) (928′492 fixes), and Decca Navigator system (4052 fixes). The analyses showed that all researched positioning systems (GPS, DGPS, EGNOS and Decca Navigator) are characterized by the Position Random Walk (PRW), which resulted in that the empirical distribution of δφ and δλ being inconsistent with the normal distribution. The size of the PRW depends on the nominal accuracy of position determination by the system. It was found that measurement sessions consisting of 1000 fixes (for the GPS system) overestimate the accuracy analysis results by 109.1% and cannot be considered representative. Furthermore, when analyzing the results of long measurement campaigns (GPS and DGPS), it was found that the representative length of the measurement session differs for each positioning system and should be determined for each of them individually.
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Braschler, Martin, Linda Cappellato, Fabio Crestani, Nicola Ferro, Gundula Heinatz Bürki, David E. Losada, Henning Müller, Andreas Rauber, and Jacques Savoy. "Report on CLEF 2019." ACM SIGIR Forum 53, no. 2 (December 2019): 108–18. http://dx.doi.org/10.1145/3458553.3458571.
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This is a report on the tenth edition of the Conference and Labs of the Evaluation Forum (CLEF 2019), held from September 9--12, 2019, in Lugano, Switzerland. CLEF was a four day event combining a Conference and an Evaluation Forum. The Conference featured keynotes by Bruce Croft, Yair Neuman, and Miguel Martínez, and presentation of peer reviewed research papers covering a wide range of topics in addition to many posters. The Evaluation Forum consisted to nine Labs: CENTRE, CheckThat, eHealth, eRisk, ImageCLEF, LifeCLEF, PAN, PIR-CLEF, and ProtestNews, addressing a wide range of tasks, media, languages, and ways to go beyond standard test collections. CLEF 2019 marked the 20th anniversary of CLEF, which was celebrated with a dedicated session and a book on the lessons learnt in twenty years of evaluation activities and the future perspectives for CLEF. CLEF 2019 also introduced the Industry Days to further extend the reach and impact of CLEF.
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Romaniuk, Ryszard S. "Electronic and Photonic Systems Wilga 2014." International Journal of Electronics and Telecommunications 60, no. 3 (October 28, 2014): 271–76. http://dx.doi.org/10.2478/eletel-2014-0035.
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Abstract Symposium Wilga 2014, in its 34th edition, was organized during the last week of May. Symposium is organized under the auspices of SPIE, IEEE, Photonics Society of Poland, WEiTI PW, and PKOpto SEP. The event gathered around 350 persons, mainly young researchers from the whole country. There were presented around 250 speeches and communications. The main book of Symposium Proceedings is Proc. SPIE vol.9290 which contains around 130 papers. A few tens of papers were also published in technical journals. The leading topics of Wilga 2014 were gathered in key sessions: nano-materials for photonics and electronics, astronomy and space technology, biomedicine, computational intelligence, visualization and multimedia, and large research experiments. The paper presents a digest of some topical tracks, and chosen work results presented during WILGA 2014 Symposium.
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Tokarev, K. E. "Artificial Intelligence and Digital Technologies in Technical Systems II-2021 (AIDTTS II-2021)." Journal of Physics: Conference Series 2060, no. 1 (October 1, 2021): 011001. http://dx.doi.org/10.1088/1742-6596/2060/1/011001.
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Abstract Dear Authors and (Online) Participants of AIDTTS II-2021, International Scientific Conference «Artificial Intelligence and Digital Technologies in Technical Systems 2020-II (AIDTTS II-2021)» was successfully held online on May 6-7, 2021 at the Department of Software Engineering with organizational and technical support of the Center of Applied Scientific Research (location of organizers - Volgograd, Russian Federation). Due to COVID-2019 and the pandemic-related nationwide lockdowns and other coordinated restrictive measures, the organizers decided to hold a conference in a virtual format with the organization of access for all participants to the presented reports with comprehensive discussion for ensuring the event at a high scientific level. The safety and well-being of all conference participants is our priority. The COVID-19 is unpredictable, so conference postponement met uncertainty, while many scholars and researchers want to attend this long-waited conference and have academic exchanges with their peers. But I want to note that there are no barriers to science, and we continue to work on our research areas remotely, using modern technical means. The conference was held virtually for 2 days (May 6-7, 2021) including keynote and invited speeches, authors’ presentation session. The event was held online using Zoom communication platform for synchronous conversation. The conference was organized as a large-scale online meeting of participants in topical sessions with the opportunity for speakers to provide regulated demonstrations of slides and video files according to the approved technical program. Each speaker had 15 min presentation and 5 min Q&A session. There were always 20-25 participants in the network. During the online presentation, participants discussed more than 50 questions on the problems of modeling technical and economic systems in the agro-industrial complex. Participants of the conference were from the leading institutions of Russian Federation, China, Turkey, France, Uzbekistan, Germany, Republic of Belarus (Instituto Politécnico Nacional, St. Petersburg Federal Research Centre of the Russian Academy of Sciences, Matrosov Institute for Systems Dynamics and Control Theory of Siberian Branch of the Russian Academy of Sciences, Far Eastern Federal University, Southwest State University, Belgorod National Research University, Federal Research Center «Computer Science and Control», Russian Academy of Sciences, Namangan Engineering and Technology Institute, Technical University Of Munich, All-Russian Research Institute of Irrigated Agriculture, Belarusian State Agrarian Technical University, Volgograd State Technical University and others), dealing with problems of using artificial intelligence and digital technologies in technical systems. The outstanding performance of all the presenters made this conference truly spectacular. Main topics of the conference were: 1. Mathematical Modeling and Computer Linguistics. 2. Software and Information Systems and Machine Learning. 3. Artificial Intelligence and Neural Network Technologies. 4. Optimization and Algorithmization. 5. Information Technologies in Social and Medical Research. I would like to express our great appreciation to prof. Batyrshin Ildar Z., from Instituto Politécnico Nacional, Mexico, Golenkov Vladimir V., from Belarusian State University of Informatics and Radioelectronics, Minsk, Belarus, prof. Petrovsky Alexey B., from Institute for Systems Analysis of Russian Academy of Sciences, Moscow, Russian Federation, prof. Natalukha Igor A., from North Caucasus Federal University, Stavropol, Russian Federation, and prof. Rogachev Aleksey F., from Volgograd State Technical University, Volgograd, Russian Federation. We would also like to thank the Program Chairs, the Session Chairs, the members of Technical Committee and the reviewers who carefully evaluated the submissions and provided useful suggestions to improve them. This volume of Journal of Physics: Conference Series is a compilation of the accepted papers in AIDTTS II-2021 and represents contributions that were presented in the conference. On behalf of the organization committee I would like to thank all of the conference sponsors and partners who made conference possible. My special thanks go to our speakers as well as all the authors for sharing their latest research results. Looking forward to meeting you during AIDTTS III-2022! Tokarev Kirill E., scientific editor, e-mail: tke.vgsha@mail.ru Committee: Orlova Yulia A., Doctor of Technical Sciences, Professor, Volgograd State Technical University, Russian Federation Batyrshin Ildar Z., Professor, Instituto Politécnico Nacional, Mexico Perepelitsa Vitaly A., Doctor of Physical and Mathematical Sciences, Professor, Zaporizhzhia National University, Ukraine Golenkov Vladimir V., Doctor of Technical Sciences, Professor, Belarusian State University of Informatics and Radioelectronics, Belarus Tsatkhlanova Tamara T., Professor, Kalmyk State University, Republic of Kalmykia Bayboboev Nabizhon.G, Doctor of Technical Sciences, Professor, Namangan Engineering and Technology Institute, Republic of Uzbekistan Natalukha Igor A., Doctor of Physical and Mathematical Sciences, Professor, North Caucasus Federal University, Russian Federation Borodychev Victor V., Academic of the Russian Academy of Sciences, All-Russian Research Institute of Hydraulic Engineering and Land Reclamation named after A N. Kostyakov Rogachev Aleksey F., Doctor of Technical Sciences, Professor, Volgograd State Agricultural University, Russian Federation Istomina Tatyana V., Doctor of Technical Sciences, Professor, National Research University “Moscow Power Engineering Institute”, Moscow, Russian Federation Skiter Natalya N., Doctor of Technical Sciences, Professor, Volgograd State Technical University, Russian Federation Lebed Nikita I., Doctor of Technical Sciences, Professor, Federal research center of Agroecology Russian Academy of Science, Russian Federation Medvedeva Lyudmila N., Professor, All-Russian Research Institute Russian Academy of Sciences, Russian Federation Korovin Evgeniy N., Doctor of Technical Sciences, Professor, Voronezh State Technical University, Voronezh, Russian Federation Shokhnekh Anna V., Professor, Volgograd State Socio-Pedagogical University, Russian Federation Podmasteryev Konstantin V., Doctor of Technical Sciences, Professor, Orel State University, Orel, Russian Federation
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KARPENKO, VITALII. "GENERALIZED CHARACTERISTICS TYPES OF EXCHANGE TRADING STRATEGIES." HERALD OF KHMELNYTSKYI NATIONAL UNIVERSITY 298, no. 5 Part 1 (October 4, 2021): 163–69. http://dx.doi.org/10.31891/2307-5740-2021-298-5(1)-27.
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It has been determined that online trading is associated with a significant degree of risk, which can be reduced through a thorough and systematic approach to the choice of exchange trading strategies. The strategy (system) of exchange trading is a personal trading rules that take into account the market situation, knowledge and understanding of the trader of this situation, as well as the trader’s wishes regarding the profitability of trading, taking into account the risks. Trading systems based on technical analysis of stock charts are considered: trend (based on the assumption that the price will rise or fall according to market trends), flat (assumes that prices change within a corridor that has clearly defined borders, supported by levels of resistance or support), counter-trend (involves determining the turning point of the price movement), trading on forex patterns (involves determining the figures of graphical analysis of stock charts, resulting in, according to statistics, there is a high probability predict price movements), wave analysis (assumes that market behavior depends on the psychology of participants, which is expressed in the impulsiveness of behavior), breakthrough volatility (assumes that a significant event is the actual exit of the price from the established channel, creating opportunities for trends), session trade (involves work in the market within a specific trade session), trading at Fibonacci levels (assumes that the price should create adjustments to the trend, reflecting the special levels, which are based on the numerical sequence of Fibonacci), scalping (provides trading within the trading day and is characterized by small levels of take profits and relatively large levels of stop-losses) and universal (provide a different combination of the above systems depending on the preferences and experience of the trader). It is concluded that all types of trading systems can be profitable, but first of all it all depends on the knowledge and skills of the person who carries out trading operations.
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Williams, Stephen M. "Negative Effects of Recency Even following Recall after Filled Delay." Perceptual and Motor Skills 62, no. 2 (April 1986): 551–54. http://dx.doi.org/10.2466/pms.1986.62.2.551.
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It has been suggested that in a second unexpected recall information can only come from a longer term score which the more recent items have less chance of reaching and this leads to a negative effect of within-list recency for this second recall session. Two experiments showed a negative effect of recency even when recent items seemed likely to have come from long-term store because initial recall had been delayed. This favours an interpretation of recency in terms of ordinal retrieval starting, where there is negative recency, more often with the first item and working forward.
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Fraix, Valerie, Stephan Chabardes, Alexandre Krainik, Eric Seigneuret, Sylvie Grand, Jean-François Le Bas, Paul Krack, Alim-Louis Benabid, and Pierre Pollak. "Effects of magnetic resonance imaging in patients with implanted deep brain stimulation systems." Journal of Neurosurgery 113, no. 6 (December 2010): 1242–45. http://dx.doi.org/10.3171/2010.1.jns09951.
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Object The aim of this study was to study the effects of MR imaging on the electrical settings of deep brain stimulation (DBS) systems and their clinical consequences. Methods The authors studied the effects of 1.5-T MR imaging on the electrical settings of implanted DBS systems, including 1 or more monopolar or quadripolar leads, extension leads, and single- or dual-channel implantable pulse generators (IPGs). The IPG was switched off during the procedure and the voltage was set to 0. The impedances were checked before and after MR imaging. Results Five hundred seventy patients were treated with DBS for movement disorders and underwent brain MR imaging after lead implantation and before IPG implantation. None of the patients experienced any adverse events. Thirty-one of these patients underwent 61 additional MR imaging sessions after the entire DBS system had been implanted. The authors report neither local cutaneous nor neurological disorders during or after the MR imaging session. No change in the IPG settings occurred when the magnet reed switch function remained disabled during the procedure. Conclusions This study demonstrates that 1.5-T MR imaging can be performed safely with continuous monitoring in patients with a DBS system. The ability to disable the magnet reed switch function of the IPG prevents any change in the electrical settings and thus any side effects. The increasing number of DBS indications and the widespread use of MR imaging indicates the need for defining safety guidelines for the use of MR imaging in patients with implanted neurostimulators.
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Bicket, Mark. "Intrathecal Pump Exposure to Electromagnetic Interference: A Report of Device Interrogation following Multiple ECT Sessions." Pain Physician 19, no. 2;2 (February 14, 2019): E343—E345. http://dx.doi.org/10.36076/ppj/2016.19.e343.
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Background: Intrathecal drug delivery systems represent an increasingly common treatment modality for patients with a variety of conditions, including chronic pain and spasticity. Pumps rely on electronic programming to properly control and administer highly concentrated medications. Electromagnetic interference (EMI) is a known exposure that may cause a potential patient safety issue stemming from direct patient injury, pump damage, or changes to pump operation or flow rate. Objectives: The objective of our case report was to describe an approach to evaluating a patient with a pump prior to and following exposure to EMI from electroconvulsive therapy (ECT), as well as to document findings from device interrogations associated with this event. Study Design: Case report. Setting: Academic university-based pain management center. Results: We present the case of a patient with an intrathecal pump who underwent multiple exposures to EMI in the form of 42 ECT sessions. Interrogation of the intrathecal drug delivery system revealed no safety issues following ECT sessions. At no time were error messages, unintentional changes in event logs, unintentional changes in pump settings, or evidence of pump stall or over-infusion noted. Conclusion: Communication with multiple entities (patient, family, consulting physicians, and device manufacturer) and maintaining vigilance through device interrogation both before and after EMI exposure are appropriate safeguards to mitigate the risk and detect potential adverse events of EMI with intrathecal drug delivery systems. Given the infrequent reports of device exposure to ECT, best practices may be derived from experience with EMI exposure from magnetic resonance imaging (MRI). Although routine EMI exposure to intrathecal drug delivery systems should be avoided, we describe one patient with repeated exposure to ECT without apparent complication. Key words: Baclofen, intrathecal drug delivery system, electromagnetic interference, electroconvulsive therapy, safety, pump interrogation, intrathecal pump, pump stall
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Chan, Erina, Serena S. Small, Maeve E. Wickham, Vicki Cheng, Ellen Balka, and Corinne M. Hohl. "The Utility of Different Data Standards to Document Adverse Drug Event Symptoms and Diagnoses: Mixed Methods Study." Journal of Medical Internet Research 23, no. 12 (December 10, 2021): e27188. http://dx.doi.org/10.2196/27188.
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Background Existing systems to document adverse drug events often use free text data entry, which produces nonstandardized and unstructured data that are prone to misinterpretation. Standardized terminology may improve data quality; however, it is unclear which data standard is most appropriate for documenting adverse drug event symptoms and diagnoses. Objective This study aims to compare the utility, strengths, and weaknesses of different data standards for documenting adverse drug event symptoms and diagnoses. Methods We performed a mixed methods substudy of a multicenter retrospective chart review. We reviewed the research records of prospectively diagnosed adverse drug events at 5 Canadian hospitals. A total of 2 pharmacy research assistants independently entered the symptoms and diagnoses for the adverse drug events using four standards: Medical Dictionary for Regulatory Activities (MedDRA), Systematized Nomenclature of Medicine (SNOMED) Clinical Terms, SNOMED Adverse Reaction (SNOMED ADR), and International Classification of Diseases (ICD) 11th Revision. Disagreements between research assistants regarding the case-specific utility of data standards were discussed until a consensus was reached. We used consensus ratings to determine the proportion of adverse drug events covered by a data standard and coded and analyzed field notes from the consensus sessions. Results We reviewed 573 adverse drug events and found that MedDRA and ICD-11 had excellent coverage of adverse drug event symptoms and diagnoses. MedDRA had the highest number of matches between the research assistants, whereas ICD-11 had the fewest. SNOMED ADR had the lowest proportion of adverse drug event coverage. The research assistants were most likely to encounter terminological challenges with SNOMED ADR and usability challenges with ICD-11, whereas least likely to encounter challenges with MedDRA. Conclusions Usability, comprehensiveness, and accuracy are important features of data standards for documenting adverse drug event symptoms and diagnoses. On the basis of our results, we recommend the use of MedDRA.
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Ali, Ashraf, and Andrew Ware. "Effective Performance Metrics for Multimedia Mission-critical Communication Systems." Annals of Emerging Technologies in Computing 5, no. 2 (April 1, 2021): 1–14. http://dx.doi.org/10.33166/aetic.2021.02.001.
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Mission-critical Communication Systems that are adaptable for use with the latest generation of multimedia services are crucial for system users. To determine the set of requirements that need to be hardcoded into such systems, a clear distinction between mission-critical and non-mission-critical systems is required. Moreover, the users of services provided by such systems are very different to those of current mobile commercial communication systems. These differences give rise to a set of challenges that need addressing to facilitate migration from existing systems to those now being proposed. One such challenge relates to the performance of the IP Multimedia Subsystem (IMS) registration process. This is a crucial consideration for mission-critical systems, particularly in large-scale systems where thousands or even millions of users may seek to access the system in disaster scenarios. This paper presents an evaluation of IMS and Session Initiation Protocol (SIP) performance metrics and Key Performance Indicators (KPIs). Moreover, it articulates a proposed study that will seek to address some of the challenges identified.
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Ip, Ka I., Barbara Felt, Li Wang, Mayumi Karasawa, Hidemi Hirabayashi, Midori Kazama, Sheryl Olson, Alison Miller, and Twila Tardif. "Are Preschoolers’ Neurobiological Stress Systems Responsive to Culturally Relevant Contexts?" Psychological Science 32, no. 7 (July 2021): 998–1010. http://dx.doi.org/10.1177/0956797621994233.
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Adults are biologically responsive to context, and their responses to particular situations may differ across cultures. However, are preschoolers’ biological systems also responsive to situational contexts and cultures? Here, we show that children’s neurobiological stress responses, as indexed by salivary cortisol, are activated and responsive to psychosocial stressors relevant to their sociocultural emphases. By examining cortisol changes across different contexts among 138 preschoolers living in the United States, China, and Japan, we found that an achievement-related stressor elicited an increased cortisol response among Chinese preschoolers, whereas interpersonal-related stressors elicited an increased cortisol response among Japanese preschoolers. By contrast, U.S. preschoolers showed decreased cortisol responses after these stressors but consistently higher levels of anticipatory responses to separation at the beginning of each session. Our findings suggest that children’s neurobiological stress systems may be a critical biological mechanism allowing societal-level cultural phenomena to be embodied in individual-level responses, even among preschoolers.
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Yamaga, Cynthia, David L. Bostick, Ying P. Tabak, Ann Liu-Ferrara, Didier Morel, and Kalvin Yu. "210. Vancomycin Infusion Frequency and Intensity: Analysis of Real-World Data Generated from Automated Infusion Devices." Open Forum Infectious Diseases 7, Supplement_1 (October 1, 2020): S108. http://dx.doi.org/10.1093/ofid/ofaa439.254.
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Abstract Background Automated infusion devices captures actual infused medication administration data in real-time. Vancomycin use is now recommended to be driven by AUC (area under the curve) dosing. We evaluated automated infusion device data to depict vancomycin administration practices in acute care hospitals. Figure 1. Distribution of vancomycin infusion dosing Figure 2. Distribution of time intervals between each vancomycin infusion session (mostly around 8 or 12 hours) Methods We analyzed archived vancomycin infusion data from 2,417 patients captured by automated infusion systems from 3 acute care hospitals. The infusion device informatics software recorded a variety of events during infusion – starting and stopping times, alarms and alerts, vancomycin dose, and other forms of timestamped usage information. We evaluated infusion session duration and dosing, using data-driven clustering algorithms. Results A total of 13,339 vancomycin infusion sessions from 2,417 unique adult patients were analyzed. Approximately 26.1% of patients had just one infusion of vancomycin. For the rest of the patients, the median number of infusion sessions per patient was 4; the interquartile range was 3 and 8. The most common dose was 1.0 gram (53.7%) or 1.5 gram (24.6%) (see Figure 1). The distribution of infusion session duration (hours) was 4.2% (≤1.0 hh); 40.1% (1.01–1.5 hh); 29.1% (1.51–2.0 hh); and 26.6% (>2.0 hh). The dosing frequency was 39.5% (q8 hh), 42.9% (q12 hh), 11.1% (q24 hh), and 6.5% (>q24 hh) (Figure 2), demonstrating clinical interpretability. Conclusion A considerable number of patients received just one vancomycin infusion during their hospital stay, suggesting a potential overuse of empiric vancomycin. The majority of infusion doses were between 1 to 1.5 grams and most infusion sessions were administered every 8 or 12 hours. The actual infusion duration for each dose often exceeds the prescribed 1- or 2-hour infusion orders, which may be due to known instances of infusion interruptions due to patient movement, procedures or IV access compromise. The data generated by infusion devices can augment insights on actual antimicrobial administration practices and duration. As vancomycin AUC dosing becomes more prevalent, real world infusion data may aid timely data-driven antimicrobial stewardship and patient safety interventions for vancomycin and other AUC dosed drugs. Disclosures Cynthia Yamaga, PharmD, BD (Employee) David L. Bostick, PhD, Becton, Dickinson and Co. (Employee) Ying P. Tabak, PhD, Becton, Dickinson and Co. (Employee) Ann Liu-Ferrara, PhD, Becton, Dickinson and Co. (Employee) Didier Morel, PhD, Becton, Dickinson and Co. (Employee) Kalvin Yu, MD, Becton, Dickinson and Company (Employee)GlaxoSmithKline plc. (Other Financial or Material Support, Funding)
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Mazurik, Nataliya. "The Twenty First International Conference “LIBCOM-2017” - “Information Technologies, Computer Systems and Publications for Libraries”. (Review of events)." Scientific and Technical Libraries, no. 2 (February 1, 2018): 101–12. http://dx.doi.org/10.33186/1027-3689-2018-2-101-112.
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The Twenty First International Conference “LIBCOM-2017” - “Information Technologies, Computer Systems and Publications for Libraries” (November 20-24, 2017, Suzdal) is reviewed. Several professional events within the program appeared to be of greatest interest to the participants are highlighted, among them the Conference Central Discussion Site, the Board and members session of the National Library Association Libraries of the Future , discussion round table "Marrakesh Treaty to Facilitate Access to Published Works for Persons Who Are Blind, Visually Impaired, or Otherwise Print Disabled": Its value in the modern society and the role of libraries, problem-oriented workshop and discussion round table “Education in culture: New ideas and projects”, discussion round table “Problems of modern university libraries in the digital era”, and the traditional exhibition “Information technologies, computer systems and publications for libraries” and IRBSI School - both continuously held within every LIBCOM conference, and versatile social program. The winners of LIBCOM-2017 nominations were also announced. The forum conclusions are made.
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Lopes, Carla Teixeira, Cristina Ribeiro, Franco Niccolucci, Irene Rodrigues, and Nuno Freire. "Report on the 1st linked archives international workshop (LinkedArchives 2021) at TPDL 2021." ACM SIGIR Forum 55, no. 2 (December 2021): 1–11. http://dx.doi.org/10.1145/3527546.3527562.
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The International Workshop on Archives and Linked Data was a satellite event of the 25th International Conference on Theory and Practice of Digital Libraries (TPDL 2021). TPDL 2021 was an online event with free registration, and the same applied to the workshop. Linked Data and Semantic Web technologies offer new possibilities for digital curation and preservation. The growing interest in archival records and the availability of technologies that can take large volumes of data and process them leads archives into the world of Linked Data. The workshop gathered almost 100 researchers and specialists engaged in initiatives crossing Linked Data technologies, Archives, and Cultural Heritage in general, discussing advances and challenges in this area. Overall, the workshop was a very successful event, which may require in the future more than the two two-hour sessions we dedicated to it this year. Date : 13 September, 2021. Website : https://linkedarchives.inesctec.pt/.
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Bulathwela, Sahan, María Pérez-Ortiz, Rishabh Mehrotra, Davor Orlic, Colin de la Higuera, John Shawe-Taylor, and Emine Yilmaz. "Report on the WSDM 2020 workshop on state-based user modelling (SUM'20)." ACM SIGIR Forum 54, no. 1 (June 2020): 1–11. http://dx.doi.org/10.1145/3451964.3451969.
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The SUM'20 workshop was held at the 13th ACM International WSDM Conference on Web Search and Data Mining (WSDM 2020) in Houston, Texas. The purpose of the workshop was to stimulate the research community to explore open challenges in building systems that can capture the user's state, context and goals, as well as effectively use these for leveraging intelligent user-centric systems in a wide range of applications. The workshop incorporated different plenary sessions and contributed talks. The workshop website and proceedings are available at https://www.k4all.org/event/wsdmsum20.