Artigos de revistas: "Assizes (Surrey)"

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Gamble, Clive, e Robert Kruszynski. "John Evans, Joseph Prestwich and the stone that shattered the time barrier". Antiquity 83, n.º 320 (1 de junho de 2009): 461–75. http://dx.doi.org/10.1017/s0003598x00098574.

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It all began in a railway carriage. Two businessmen, travelling to the Kingston Assizes in Surrey, nodded to each other as strangers do, but did not strike up a conversation. They were expert witnesses appearing for different sides in the Croydon Water Question; a legal test case that boiled down to who owned the undergroundwaters of London (Mather 2008: 83–4). Joseph Prestwich (Figure 1a), the older by 11 years, represented the water suppliers. As the train rattled along under full steam he would have seen landmarks from his pioneering geology of the London Basin. But water was not his business. His family ran a profitable wine importers. Geology, however, was his passion.

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Anonymous. "Guide Assists Hospitals Preparing For Accreditation Survey". Journal of Psychosocial Nursing and Mental Health Services 33, n.º 4 (abril de 1995): 46. http://dx.doi.org/10.3928/0279-3695-19950401-12.

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Shapiro, Barbara. "Political Theology and the Courts: A Survey of Assize Sermons c1600–1688". Law and Humanities 2, n.º 1 (janeiro de 2008): 1–28. http://dx.doi.org/10.1080/17521483.2008.11423740.

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Walliss, John. "Administration of Justice in Victorian Cheshire, 1840-1890: A Quantitative Survey". Transactions of the Historic Society of Lancashire and Cheshire 171, n.º 1 (1 de janeiro de 2022): 23–45. http://dx.doi.org/10.3828/transactions.171.5.

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This article presents a quantitative survey of the administration of justice in Cheshire between 1840 and 1890. Drawing on a sample of 33,000 cases from assizes and quarter sessions across the county, it explores broad patterns in committals, prosecutions, and sentencing over the fifty-year period. To this end, the article is structured to follow defendants’ route through the criminal justice process; from committal through prosecution to sentencing. The final section of the article thereafter explores the differing patterns of each as it pertained to the sex of the accused.

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Riegler, M. "Surgery assists cleaning the roots". European Surgery 55, n.º 5-6 (29 de setembro de 2023): 113–15. http://dx.doi.org/10.1007/s10353-023-00813-y.

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Hartley, Steve. "Ordance Survey Digital Mapping for Land Navigation". Journal of Navigation 49, n.º 2 (maio de 1996): 163–68. http://dx.doi.org/10.1017/s0373463300013254.

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The last few years have seen the launch of several new navigation-related products to the market; TrafficMaster is an excellent example of technical innovation and marketing skill which assists drivers to make decisions about travelling. There are many other products in development targeted at differing user groups for a wide range of applications.

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Maumi, Catherine. "La grille du National Survey, assise spatiale de la démocratie américaine". XVII-XVIII. Revue de la société d'études anglo-américaines des XVIIe et XVIIIe siècles 66, n.º 1 (2009): 117–41. http://dx.doi.org/10.3406/xvii.2009.2394.

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Schroedel, Ralph B., Jeff Brochtrup, Randall A. Wirtz e Eric Lecuyer. "Local Association Assists Operators Assess Digester Foaming – Survey and Workshop Results in Solutions". Proceedings of the Water Environment Federation 2011, n.º 4 (1 de janeiro de 2011): 1161–68. http://dx.doi.org/10.2175/193864711802862590.

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Kozlov, Yu A., A. A. Rasputin, M. N. Mochalov, K. A. Kovalkov, S. S. Poloyan, P. J. Baradieva, D. A. Zvonkov et al. "Laparoscopically-assited closure of enterostomies at children". Endoskopicheskaya khirurgiya 28, n.º 1 (2022): 26. http://dx.doi.org/10.17116/endoskop20222801126.

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Ramadha, Ade Aditya, Leanna Vidya Yovita, Tody Ariefianto Wibowo e Ilmi Aulia Assyifatunisa. "Adaptive Forwarding and Routing of Named Data Networking A Survey". Buletin Pos dan Telekomunikasi 21, n.º 1 (6 de novembro de 2023): 32–50. http://dx.doi.org/10.17933/bpostel.v21i1.357.

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In recent years, Named Data Networking (NDN) has been one of the future internet network architectures by proposing it as a substitute for existing IP networks. NDN assigns addresses/names to data or content, whereas IP assigns addresses to devices. NDN router has a Content Store (CS) component to store requested packets and reducing the time for duplicate content requests. As network architecture, NDN uses several algorithms and strategies in the process. This paper will specifically discuss the forwarding and routing algorithm. Forwarding mechanisms play a significant role in packet delivery on the NDN system. Even though routing was not the main component of the NDN system, the routing mechanism and Routing Information Base remain important, considering Forwarding Information Base was generated after Routing Information Base was generated. Routing has significant control, whereas forwarding can give finer control over the delivery path. Considering the previous statement, the combination of routing and forwarding strategy must be considered to optimize the performance of the packet delivery system on NDN. In addition to getting information about the entire network, centralized routing, and adaptive networking are needed to distribute all network traffic fairly. The challenges and opportunities can also be a reference and a guideline for future Adaptive NDN research.

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Zhang, Yang, Liuxu Li e Dongwen Zhang. "A survey of concurrency-oriented refactoring". Concurrent Engineering 28, n.º 4 (8 de outubro de 2020): 319–30. http://dx.doi.org/10.1177/1063293x20958932.

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Refactoring has become an effective approach to convert sequential programs into concurrent programs. Many refactoring algorithms and tools are proposed to assist developers in writing high-performance concurrent programs. Although researchers actively conduct surveys on refactoring, we are not aware of any survey that summarizes, categorizes and discusses concurrency-oriented refactoring. To this end, this paper presents a survey that investigates how refactoring assists with concurrent programming. To the best of our knowledge, this paper is the first survey that summarizes the state-of-the-art, concurrency-oriented refactoring. First, we design six research questions addressing the concurrent structure, programming language, performance improvement and consistency evaluation. Second, we answer these questions by examining the related papers and then present the results to show how refactoring provides support for concurrent programming after a decade of development, such as transforming the concurrent structures, supporting parallel language, and improving performance. Finally, we summarize the related works and present the future trends.

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Lepel, Adrienn. "Changing the function of industrial buildings: Survey". Facta universitatis - series: Architecture and Civil Engineering 4, n.º 2 (2006): 71–84. http://dx.doi.org/10.2298/fuace0602071l.

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The paper analyses the re-use of defunct industrial buildings paying special attention to the examples to be found in Budapest. It gives an account of the fate of the industrial buildings having lost their function and the reasons of the changes as well as the conditions promoting and hindering such changes in the function. The main goal of the research work is to elaborate a system of conditions enabling the analysis of the implemented re-uses and the various buildings using uniform criteria and the comparison of the various examples. The system of conditions extend to the grouping by the usual functions, but consider the location, the monument protection features, the floor-plan and the ownership of the property as well. The systematization assists the reuse and the changing of the function and, in addition, it can expediently be used to the scientific analysis of the implemented re-use and the classification as well.

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S. Tidake, Vaishali, e Shirish S. Sane. "Multi-label Classification: a survey". International Journal of Engineering & Technology 7, n.º 4.19 (27 de novembro de 2018): 1045. http://dx.doi.org/10.14419/ijet.v7i4.19.28284.

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Wide use of internet generates huge data which needs proper organization leading to text categorization. Earlier it was found that a document describes one category. Soon it was realized that it can describe multiple categories simultaneously. This scenario reveals the use of multi-label classification, a supervised learning approach, which assigns a predefined set of labels to an object by looking at its characteristics. Earlier used in text categorization, but soon it became the choice of researchers for wide applications like marketing, multimedia annotation, bioinformatics. Two most common approaches for multi-label classification are transformation which takes the benefit of existing single label classifiers preceded by converting multi-label data to single label, or an adaptation which designs classifiers which handle multi-label data directly. Another popular approach is ensemble of multiple classifiers taking votes of all. Other approaches are also available namely algorithm independent and algorithm dependent approach. Based on results produced, suitable metric is used for example or label wise evaluation which depends on whether prediction is binary or ranking. Every approach offers benefits and issues like loss of label dependency in transformation, complexity in case of adaptation, improvement in results using ensemble which should be considered during design of underlying application.

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Thakur, Apoorva, e Sandeep Monga. "A Survey on Time Series Forecasting Approaches and Applications". International Journal for Research in Applied Science and Engineering Technology 10, n.º 4 (30 de abril de 2022): 2729–36. http://dx.doi.org/10.22214/ijraset.2022.41879.

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Abstract: This Time series forecasting (TSF) assists in making better strategic decisions under uncertain circumstances so that financial crisis can be avoided, wise investments can be made, under/over contracting of utility can be avoided, staffs can be scheduled appropriately, service providers can provide better service, mankind can get prepared for natural disasters and many more.However, the accuracy in forecasting plays a vital role and achieving such is a challenging task owing to the vagueness and nonlinearity associated with most of the real world time series. Therefore, improving the forecasting accuracy has become a keen area of interest among the forecasters from different domains of science and engineering. In this work a survey on time series forecasting approaches on various applications has been performed. Keywords: Time series forecasting, Regularization, Regression

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Zhang, Doudou, Hai Lin, Jiali Liu, Zesi Liu, Jie Yan e Xiaodong Cai. "Electrode Reconstruction Assists Postoperative Contact Selection in Deep Brain Stimulation". World Neurosurgery 125 (maio de 2019): e442-e447. http://dx.doi.org/10.1016/j.wneu.2019.01.101.

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Chew, Jackel Vui Lung, e Mohammad Fadhli Asli. "A Survey on Vehicular Traffic Flow Anomaly Detection Using Machine Learning". ITM Web of Conferences 63 (2024): 01023. http://dx.doi.org/10.1051/itmconf/20246301023.

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Vehicular traffic flow anomaly detection is crucial for traffic management, public safety, and transportation efficiency. It assists experts in responding promptly to abnormal traffic conditions and making decisions to improve the traffic flow. This survey paper offers an overview of the application of machine learning to detect anomalies in the traffic flow. Through an extensive review of the literature from the Scopus database, this paper explores the technical aspects of traffic flow anomaly detection using machine learning, including data sources, data processing approaches, machine learning algorithms, and evaluation metrics. Additionally, the paper highlights the emerging research opportunities for researchers in enhancing traffic flow anomaly detection using machine learning.

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Gioulekas, Fotios, Evangelos Stamatiadis, Athanasios Tzikas, Konstantinos Gounaris, Anna Georgiadou, Ariadni Michalitsi-Psarrou, Georgios Doukas et al. "A Cybersecurity Culture Survey Targeting Healthcare Critical Infrastructures". Healthcare 10, n.º 2 (9 de fevereiro de 2022): 327. http://dx.doi.org/10.3390/healthcare10020327.

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Recent studies report that cybersecurity breaches noticed in hospitals are associated with low levels of personnel’s cybersecurity awareness. This work aims to assess the cybersecurity culture in healthcare institutions from middle- to low-income EU countries. The evaluation process was designed and performed via anonymous online surveys targeting individually ICT (internet and communication technology) departments and healthcare professionals. The study was conducted in 2019 for a health region in Greece, with a significant number of hospitals and health centers, a large hospital in Portugal, and a medical clinic in Romania, with 53.6% and 6.71% response rates for the ICT and healthcare professionals, respectively. Its findings indicate the necessity of establishing individual cybersecurity departments to monitor assets and attitudes while underlying the importance of continuous security awareness training programs. The analysis of our results assists in comprehending the countermeasures, which have been implemented in the healthcare institutions, and consequently enhancing cybersecurity defense, while reducing the risk surface.

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Nalawade, Subhash, Diksha Rajput, Kushal Patel, Aryakumar Patel e Rutuja Bansode. "A Survey Paper on College Community Web Portal". International Journal for Research in Applied Science and Engineering Technology 10, n.º 12 (31 de dezembro de 2022): 1363–64. http://dx.doi.org/10.22214/ijraset.2022.48136.

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Abstract: Students are an important stakeholder in an educational institute. Students' performance plays a vital role in producing excellent graduate students who will be the future viable leaders and skilled manpower for the industry and the society. The College Community Web portal is an AI-based book listing and student community-based web application. Basically, it assists in solving the problems that are faced by students in their educational journey. Fresher students face difficulties to get new books and notes whereas seniors may come across difficulties to sell books and notes. This app will also help faculty to analyze the attendance of each student and give them behavioural feedback, analyze the results of students and give feedback results also. The application also contains a doubt-solving session according to the area of interest where students post their doubts and people help to solve their problems and provide appropriate solutions. The feedback from the application is useful in improving the efficiency of the teaching learning process.

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Bin Jubeir, Mohammed, Mohd Arfian Ismail, Shahreen Kasim, Hidra Amnur e Defni. "Big Healthcare Data: Survey of Challenges and Privacy". JOIV : International Journal on Informatics Visualization 4, n.º 4 (18 de dezembro de 2020): 184. http://dx.doi.org/10.30630/joiv.4.4.246.

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The last century witnessed a dramatic leap in the shift towards digitizing the healthcare workflow and moving to e-patients' records. Health information is consistently becoming more diverse and complex, leading to the so-called massive data. Additionally, the demand for big data analytics in healthcare organizations is increasingly growing with the aim of providing a wide range of unprecedented potentials that are considered necessary for the provision of meaningful information about big data and improve the quality of healthcare delivery. It also aims to increase the effectiveness and efficiency of healthcare organizations; provide doctors and care providers better decision-making information and help them in the early detection of diseases. It also assists in evidence-based medicine and helps to minimize healthcare cost. However, a clear contradiction exists between the privacy and security of big data and its widespread usage. In this paper, the focus is on big data with respect to its characteristics, trends, and challenges. Additionally, the risks and benefits associated with data analytics were reviewed.

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Wessels, Izak F., Steve Thomas e Delia A. Wessels. "Hook and Loop Fastener on Loose Prisms Assists in Measuring Ocular Deviation". Ophthalmic Surgery, Lasers and Imaging Retina 29, n.º 9 (setembro de 1998): 774–77. http://dx.doi.org/10.3928/1542-8877-19980901-16.

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Somadina, Okwelogu Izunna, e Olamoyegun Stephania Olabisi. "ARTIFICIAL INTELLIGENCE ON TEACHING AND LEARNING OF SCIENCE EDUCATION PROGRAMME IN TERTIARY INSTITUTIONS IN NORTH-CENTRAL, NIGERIA". International Journal of Artificial Intelligence for Digital Marketing 1, n.º 1 (14 de março de 2024): 40–46. http://dx.doi.org/10.61796/ijaifd.v1i1.70.

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The study assessed the effects of artificial intelligence on teaching and learning of science education programme in tertiary institutions in Nigeria. The study used descriptive survey method. The population of the study comprises of all academic staff in North-Central Nigeria. The sample for the study was made up of 200 academic staff in the region. The researcher formulated an instrument titled Artificial Intelligence and Science Education Questionnaire (AISEQ). Test and re-test method was used to determine the reliability of the instrument. The result collected on the first and second were correlated and it yielded a coefficient of 0.86 which is high enough for the study. Descriptive statistics was used to analyze data collected for the research questions and hypothesis formulated for the study. The result collected and analyzed disclosed that Al support implementation of science education in Nigerian Tertiary institution in the following areas; Al supports presentation of lecture on science education, assists lecturers to carry out researches in science education, helps lecturer to provide community services, assists lecturers to develop course note, aids effective classroom management, assists lecturers to assign assignments and projects to students, support distance learning education, support individual learning and collaborate learning, assists students in writing research work, assists effective examinations in tertiary institutions and support practical work in laboratory. The result established that artificial intelligence has aided teaching and learning of science education in Nigerian tertiary institutions. Based on this, the study recommended that the tertiary institutions manager should increase funding of science education to enable the procurement and deployment of Al for the teaching and learning of science education in Nigerian tertiary institutions.

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Callaly, Tom, Mary Hyland, Tim Coombs e Tom Trauer. "Routine outcome measurement in public mental health: results of a clinician survey". Australian Health Review 30, n.º 2 (2006): 164. http://dx.doi.org/10.1071/ah060164.

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This paper explores the attitudes of mental health workers in one public mental health service towards the implementation and use of routine outcome measurement. Two years after their introduction into routine clinical practice, there were equal numbers of positive and negative observations from clinicians about the clinical value of the clinician-rated outcome measures, while more positive observations were made about value of the consumer-rated outcome measure. The most frequent observation from clinicians in relation to making outcome measures more useful to them in clinical practice was that more training, particularly refresher training, is needed. In addition, clinicians indicated that more sophisticated support which assists them to understand the meaning and possible use of outcome measure ratings is required.

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Kalakoti, Gowrisankar, G. Prabhakaran e P. Sudhakar. "Content Based Video Retrieval Systems with Local Features: A Survey". Asian Journal of Computer Science and Technology 7, S1 (5 de novembro de 2018): 58–62. http://dx.doi.org/10.51983/ajcst-2018.7.s1.1804.

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With the improvement of mixed media information composes and accessible transfer speed there is immense interest of video retrieving frameworks, as clients move from content based recovery frameworks to content based retrieval frameworks. Determination of removed features assume an imperative job in substance based video retrieving paying little mind to video qualities being under thought. This work assists the up and coming analysts in the field of video retrieving with getting the thought regarding distinctive procedures and strategies accessible for the video recovery. These highlights are proposed for choosing, ordering and positioning as indicated by their potential enthusiasm to the client. Great feature determination likewise permits the time and space expenses of the recovery procedure to be lessened. This overview surveys the fascinating highlights that can be separated from video information for ordering and retrieving alongside likeness estimation techniques. We likewise recognize present research issues in territory of content based video retrieving frameworks.

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HODGSON, P. D., e D. J. SHEWRING. "THE ‘METACARPAL CASCADE LINES’; USE IN THE DIAGNOSIS OF DISLOCATIONS OF THE CARPOMETACARPAL JOINTS". Journal of Hand Surgery (European Volume) 32, n.º 3 (junho de 2007): 277–81. http://dx.doi.org/10.1016/j.jhsb.2006.09.020.

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Dislocations of the carpometacarpal joints of the ring and little fingers are common and are frequently missed at presentation. We describe a radiographic observation which assists in the confirmation of the diagnosis.

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Sullivan, Breanna, Sanjay Desai, Tej M. Singh e Amit Mitra. "Early application of an intermittent pneumatic compression device assists dilation of radiocephalic fistulas". Journal of Vascular Access 20, n.º 2 (13 de agosto de 2018): 146–52. http://dx.doi.org/10.1177/1129729818787717.

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Introduction: Radiocephalic fistulas are the preferred type of arteriovenous fistula due to their advantageous location. However, radiocephalic fistula maturation has historically been inferior to brachiocephalic fistulas. Research indicates that intermittent compression may aid in forearm vein dilation. Early use of a compression device may assist radiocephalic fistula maturation. Objectives: This prospective, randomized, placebo controlled study evaluates device safety and the effect of intermittent compression on vein size of radiocephalic fistulas and brachiocephalic fistulas. Methods: This was an institutional review board–approved study. After fistula creation, a novel, intermittent pneumatic compression device (Fist Assist®) was worn 15 cm proximal to fistulas 6 h daily for 30 days. Those in the treatment group (n = 43) wore Fist Assist® (24 with brachiocephalic fistulas and 19 with radiocephalic fistulas). Clinical controls (n = 16) wore a sham device. Vein diameter was measured at 0 and 30 days by duplex measurement. Percentage increase was recorded and tested for significance. Results: After 30 days, the mean percentage increase in vein diameter in the radiocephalic fistula treatment group was significantly larger than brachiocephalic fistulas in the treatment group at all proximal locations from the anastomosis. Increases in percentage vein dilation for those in the radiocephalic fistula treatment group were significantly larger than those in the control group. All fistulas treated with Fist Assist® are still functional with no reported complications. Conclusion: Early application of the Fist Assist® device may be more effective at helping radiocephalic fistula mature as compared to brachiocephalic fistulas. Successful radiocephalic fistula maturation may decrease vascular access costs, reduce complications, and preserve upper arm veins for future use in vascular access.

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Khudhair, Ahmed Azeez, Saba Qasim Jabbar, Mohammed Qasim Sulttan e Desheng Wang. "Wireless Indoor Localization Systems and Techniques: Survey and Comparative Study". Indonesian Journal of Electrical Engineering and Computer Science 3, n.º 2 (1 de agosto de 2016): 392. http://dx.doi.org/10.11591/ijeecs.v3.i2.pp392-409.

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<p>The popularity, great influence and huge importance made wireless indoor localization has a unique touch, as well its wide successful on positioning and tracking systems for both human and assists also contributing to take the lead from outdoor systems in the scope of the recent research works. In this work, we will attempt to provide a survey of the existing indoor positioning solutions and attempt to classify different its techniques and systems. Five typical location predication approaches (triangulation, fingerprinting, proximity, vision analysis and trilateration) are considered here in order to analysis and provide the reader a review of the recent advances in wireless indoor localization techniques and systems to have a good understanding of state of the art technologies and motivate new research efforts in this promising direction. For these reasons, existing wireless localization position systems and location estimation schemes are reviewed. We also made a comparison among the related techniques and systems along with conclusions and future trends to identify some possible areas of enhancements. </p>

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Pierro, A., N. Hall, A. Ade-Ajayi, J. Curry e E. M. Kiely. "Laparoscopy assists surgical decision making in infants with necrotizing enterocolitis". Journal of Pediatric Surgery 39, n.º 6 (junho de 2004): 902–6. http://dx.doi.org/10.1016/j.jpedsurg.2004.02.006.

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Quatman, Carmen E., Michael Mondor, Jodi Halweg e Julie A. Switzer. "Ten years of EMS Fall Calls in a Community: An Opportunity for Injury Prevention Strategies". Geriatric Orthopaedic Surgery & Rehabilitation 9 (1 de janeiro de 2018): 215145931878345. http://dx.doi.org/10.1177/2151459318783453.

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Objective: To determine whether fall calls, lift assists, and need for transport to the hospital over the past 10 years in one emergency medical services (EMS) system have altered coincident with demographic changes and to estimate health-care cost for lift assists. Methods: We conducted a retrospective chart review of EMS fall-related care. The HealthEMS database for a suburban community surveyed was queried from March 1, 2007, to March 1, 2017. Fall-related calls in patients 60 years or older were identified and determined to be either lift assists (calls that do not result in transport) or fall calls that resulted in transport to the hospital. Results: Of the 38 237 EMS care responses in patients 60 years or older, 11.5% were related to falls. Fall calls increased by 268% over the past 10 years ( P = .0006), yet the number of transports to the hospital significantly decreased over time ( P = .02). Lift assists increased significantly ( P = .0003), nearly doubling over the decade. At the same time, fall calls that did not result in transport to the hospital cost the community an estimated US$1.5 million over a 10-year period. Discussion: There has been a dramatic shift in fall-related calls to EMS in older individuals with more frequent calls for lesser acuity needs. Utilization of EMS for lift assists has substantial financial consequences and diverts care from calls that need immediate triage and transport to care. Conclusion: Future work to reduce the frequency and increase the impact of EMS lift assists could have a significant cost benefit and provide opportunity for enrollment in appropriate community services and fall prevention programs.

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Barber, Michael, David Gordon, Ryan Hill e Joseph Price. "Status Quo Bias in Ballot Wording". Journal of Experimental Political Science 4, n.º 2 (2017): 151–60. http://dx.doi.org/10.1017/xps.2017.9.

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AbstractWe examine the role of status quo bias in the ballot wording of social issues that affect the rights of minority groups. We test the salience of this framing bias by conducting an experiment that randomly assigns different ballot wordings for five policies across survey respondents. We find that status quo bias changes the percent of individuals who vote for the ballot measure by 5–8 percentage points with the least informed individuals being the most affected by status quo bias.

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Gnanasekaran, Vaira Suganthi, Sutha Joypaul e Parvathy Meenakshi Sundaram. "A Survey on Machine Learning Algorithms for the Diagnosis of Breast Masses with Mammograms". Current Medical Imaging Formerly Current Medical Imaging Reviews 16, n.º 6 (27 de julho de 2020): 639–52. http://dx.doi.org/10.2174/1573405615666190903141554.

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Breast cancer is leading cancer among women for the past 60 years. There are no effective mechanisms for completely preventing breast cancer. Rather it can be detected at its earlier stages so that unnecessary biopsy can be reduced. Although there are several imaging modalities available for capturing the abnormalities in breasts, mammography is the most commonly used technique, because of its low cost. Computer-Aided Detection (CAD) system plays a key role in analyzing the mammogram images to diagnose the abnormalities. CAD assists the radiologists for diagnosis. This paper intends to provide an outline of the state-of-the-art machine learning algorithms used in the detection of breast cancer developed in recent years. We begin the review with a concise introduction about the fundamental concepts related to mammograms and CAD systems. We then focus on the techniques used in the diagnosis of breast cancer with mammograms.

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Nishimura, Akira, Katsutoshi Kita, Yasunori Segawa e Yutaka Shirao. "Perfluorocarbon Liquid Assists in Stripping the ILM to Treat Detached Retina Caused by Macular Hole". Ophthalmic Surgery, Lasers and Imaging Retina 33, n.º 1 (janeiro de 2002): 77–78. http://dx.doi.org/10.3928/1542-8877-20020101-16.

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Bolliger, Flavio, Dramane Bako, Chiara Brunelli, Neli Georgieva, Karla Koudelka, Silvia Missiroli e Lassina Pare. "The 50x2030 Initiative and production of SDG 2 indicators: Country challenges and experiences". Statistical Journal of the IAOS 38, n.º 1 (21 de março de 2022): 75–95. http://dx.doi.org/10.3233/sji-210913.

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An important objective of the 50x2030 Initiative to Close the Agricultural Data Gap is to empower partner countries’ statistical systems for evidence-based decision-making, especially to achieve Sustainable Development Goal (SDG) 2. The reference survey instruments of the Initiative allow the monitoring of SDG 2, particularly through indicators 2.3.1, 2.3.2 and 2.4.1. As the lead agency of the Initiative’s Data Production component, FAO assists countries in collecting the required data. The paper discusses the experiences, challenges and solutions encountered in the partner countries engaged in the 50x2030 Initiative and one of its preceding survey programs, the AGRISurvey Programme – namely Cambodia, Ecuador, Georgia, Indonesia, Nepal, Senegal, and Uganda. The experiences encompass data collection and the computation and dissemination of the Indicators.

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Kodad, Mohcine, e El Miloud Jaara. "Towards Increasing Feedbacks and Diffusion of Information in Social Networks". International Journal of Recent Contributions from Engineering, Science & IT (iJES) 4, n.º 1 (29 de março de 2016): 11. http://dx.doi.org/10.3991/ijes.v4i1.5477.

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The purpose of this document is to highlight two strategies which increased feedbacks and stimulated the diffusion of information in social networks. Starting by an online survey, which assists searchers in understanding the behavior of social network users, to define the problem. The information received with this survey has been tested on validation by an analyze on the most popular type of posting on social networks. The results of this study provided two strategies as a solution for the problem of dissatisfaction among users of social networks and to increase feedbacks and diffusion of information on social network. One strategy is manual and is based on the type of publication and the second strategy is automatically and takes the concept of collaborative work in to account

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Gautam, Chintamani. "An Opinion Survey on FTP System among Branch Managers of Commercial Banks of Nepal". PYC Nepal Journal of Management 9, n.º 1 (31 de agosto de 2016): 44–59. http://dx.doi.org/10.3126/pycnjm.v9i1.41122.

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Funds Transfer Pricing (FTP) is a process that assigns funding costs to asset originators (loans) and funding credits to liability providers (deposits). It is one of the powerful and useful components of any profitability measurement system for financial institutions. This study aimed to survey the opinions of branch managers of Nepalese Commercial Banks in order to measure the awareness about FTP and to collect opinions regarding its practice in Nepal. A total of 140 branch managers were approached for the data collection. Out of them only 88 branch managers were found having awareness on FTP system. Therefore, detail analysis was made on the basis of responses of only 88 respondents. The survey revealed that Nepalese branch managers agree on the advantages of FTP system in bank branches, but they lacked enough skill of FTP system. The awareness of branch managers is depended more on their work experience than on job level of managers.

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Vogel, Dominik. "Matching survey responses with anonymity in environments with privacy concerns". International Journal of Public Sector Management 31, n.º 7 (8 de outubro de 2018): 742–54. http://dx.doi.org/10.1108/ijpsm-12-2017-0330.

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Purpose In many cases, public management researchers’ focus lies in phenomena, embedded in a hierarchical context. Conducting surveys and analyzing subsequent data require a way to identify which responses belong to the same entity. This might be, for example, members of the same team or data from different organizational levels. It can be very difficult to collect such data in environments marked by high concerns for anonymity and data privacy. The purpose of this paper is to suggest a procedure for matching survey data without compromising respondents’ anonymity. Design/methodology/approach The paper explains the need for data collection procedures, which preserve anonymity and lays out a process for conducting survey research that allows for responses to be clustered, while preserving participants’ anonymity. Findings Survey research, preserving participants’ anonymity while allowing for responses to be clustered in teams, is possible if researchers cooperate with a custodian, trusted by the participants. The custodian assigns random identifiers to survey entities but does not get access to the data. This way neither the researchers nor custodians are able to identify respondents. This process is described in detail and illustrated with a factious research project. Originality/value Many public management research questions require responses to be clustered in dyads, teams, departments, or organizations. The described procedure makes such research possible in environments with privacy concerns; this is the case with many public administrations.

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ARDENGHI, NICOLA M. G., GABRIELE GALASSO, ENRICO BANFI, ANTONIO ZOCCOLA, BRUNO FOGGI e LORENZO LASTRUCCI. "A taxonomic survey of the genus Vitis L. (Vitaceae) in Italy, with special reference to Elba Island (Tuscan Archipelago)". Phytotaxa 166, n.º 3 (25 de abril de 2014): 163. http://dx.doi.org/10.11646/phytotaxa.166.3.1.

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As resulted from recent floristic investigations conducted in southern and central Europe, the genus Vitis proved to be, in these areas, an intricate critical group, whose interpretation, often influenced by ampelographic approaches, needed to be clarified in a strict taxonomic sense. The current paper analyzes the taxonomy and the distribution of seven taxa recorded in Italy and assigns new names to three nothospecies, naturalized and/or invasive in additional European countries: V. ×instabilis (= V. riparia × V. rupestris), V. ×koberi (= V. berlandieri × V. riparia), V. ×ruggerii (= V. berlandieri × V. rupestris). Nomenclatural and systematic aspects regarding V. vinifera are also discussed. Original and detailed descriptions, identification keys, illustrations and information on distribution and ecology are provided.

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Sangadikar, Muktai, Shivani Puri, Rutuja Sarode, Ashwini Sawarkar e Aditi Selokar. "Survey on File Trace: Efficient File Tracking System". Journal of Big Data Technology and Business Analytics 2, n.º 2 (19 de maio de 2023): 1–11. http://dx.doi.org/10.46610/jbdtba.2023.v02i02.001.

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An organization's information flow can be managed and tracked with the use of a file tracking system, which is a software-based solution. It is a crucial tool for companies that produce a lot of papers and need to make sure they are available, safe, and simple to find. By automating the administration of their papers, businesses can make sure that they are kept in a centralised location and are accessible to authorised staff. The system assigns a unique identifier to each document, making it easy to locate and retrieve information quickly. File tracking systems also provide features such as version control, which allows users to track changes made to documents over time. This feature is particularly useful for businesses that need to maintain compliance with industry regulations and standards. One of the key benefits of a file tracking system is the ability to automate routine tasks, such as routing documents for review and approval. The system can be configured to automatically notify users when a document is ready for review or when changes have been made to a document. Finally, file tracking systems can help organizations to ensure the security of their documents. The system can be configured to restrict access to sensitive documents, ensuring that only authorized personnel can view or edit them. In summary, For companies that produce a lot of documents, a file tracking system is a crucial tool. It offers a central location for papers, automates repetitive operations, enhances communication, and protects data. By implementing a file tracking system, organizations can streamline their document management processes and improve their overall efficiency.

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Choudhury, Avishek, Safa Elkefi e Achraf Tounsi. "Exploring factors influencing user perspective of ChatGPT as a technology that assists in healthcare decision making: A cross sectional survey study". PLOS ONE 19, n.º 3 (8 de março de 2024): e0296151. http://dx.doi.org/10.1371/journal.pone.0296151.

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As ChatGPT emerges as a potential ally in healthcare decision-making, it is imperative to investigate how users leverage and perceive it. The repurposing of technology is innovative but brings risks, especially since AI’s effectiveness depends on the data it’s fed. In healthcare, ChatGPT might provide sound advice based on current medical knowledge, which could turn into misinformation if its data sources later include erroneous information. Our study assesses user perceptions of ChatGPT, particularly of those who used ChatGPT for healthcare-related queries. By examining factors such as competence, reliability, transparency, trustworthiness, security, and persuasiveness of ChatGPT, the research aimed to understand how users rely on ChatGPT for health-related decision-making. A web-based survey was distributed to U.S. adults using ChatGPT at least once a month. Bayesian Linear Regression was used to understand how much ChatGPT aids in informed decision-making. This analysis was conducted on subsets of respondents, both those who used ChatGPT for healthcare decisions and those who did not. Qualitative data from open-ended questions were analyzed using content analysis, with thematic coding to extract public opinions on urban environmental policies. Six hundred and seven individuals responded to the survey. Respondents were distributed across 306 US cities of which 20 participants were from rural cities. Of all the respondents, 44 used ChatGPT for health-related queries and decision-making. In the healthcare context, the most effective model highlights ’Competent + Trustworthy + ChatGPT for healthcare queries’, underscoring the critical importance of perceived competence and trustworthiness specifically in the realm of healthcare applications of ChatGPT. On the other hand, the non-healthcare context reveals a broader spectrum of influential factors in its best model, which includes ’Trustworthy + Secure + Benefits outweigh risks + Satisfaction + Willing to take decisions + Intent to use + Persuasive’. In conclusion our study findings suggest a clear demarcation in user expectations and requirements from AI systems based on the context of their use. We advocate for a balanced approach where technological advancement and user readiness are harmonized.

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Tuli, Krishan, Amanpreet Kaur e Meenakshi Sharma. "A Survey on Comparison of Performance Analysis on a Cloud-Based Big Data Framework". International Journal of Distributed Artificial Intelligence 11, n.º 2 (julho de 2019): 41–52. http://dx.doi.org/10.4018/ijdai.2019070105.

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Cloud computing is offering various IT services to many users in the work on the basis of pay-as-you-use model. As the data is increasing day by day, there is a huge requirement for cloud applications that manage such a huge amount of data. Basically, a best solution for analyzing such amounts of data and handles a large dataset. Various companies are providing such framesets for particular applications. A cloud framework is the accruement of different components which is similar to the development tools, various middleware for particular applications and various other database management services that are needed for cloud computing deployment, development and managing the various applications of the cloud. This results in an effective model for scaling such a huge amount of data in dynamically allocated recourses along with solving their complex problems. This article is about the survey on the performance of the big data framework based on a cloud from various endeavors which assists ventures to pick a suitable framework for their work and get a desired outcome.

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Guéro, A. M. M., Z. Chiba e N. Abghour. "Challenges and issues for Internet of Things (IoT): recent survey". Mathematical Modeling and Computing 10, n.º 3 (2023): 796–806. http://dx.doi.org/10.23939/mmc2023.03.796.

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The Internet of Things (IoT) is one of the most emerging and revolutionary technologies of this century. The IoT is a network of dedicated devices called things deployed and used to collect, handle and exchange real-world data over the Internet or other networks. Combined with automation systems, IoT devices can help manage, monitor, and alert users to the changes in their environment, assist them to make smarter decisions, facilitate daily life, and contribute to the development of the economy and industry. Nevertheless, the exponential growth of IoT equipment as well as the absence of common international standards leads to huge challenges, among which are security and performance. Indeed, with an increasing number of devices, the old methods of managing connected devices become inappropriate, which creates security breaches. Furthermore, the limited resources of IoT devices besides the nature of their network prevent the implementation of strong and sophisticated security measures on them. As a result, IoT appliances are vulnerable and prone to many security threats and intrusions. This paper presents an overview of IoT issues and challenges. Also, it exhibits a deep analysis of the solutions proposed in the literature for these issues. This assists to mark the concerns that still require to be handled, well outlines the mainstream of research direction, and clears the way for new avenues of research for forthcoming researchers. Finally, we deliver a guide or support for scientists interested in the Internet of Things.

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Sarvepalli, Shravan, huaqing zhao, Edwin Acevedo, Michael Mazzei, XIAONING LU e Michael Edwards. "A119 OUTCOMES IN RACIAL COHORTS UNDERGOING ROBOTIC-ASSISED REVISIONAL METABOLIC AND BARIATRIC SURGERY: AN MBSAQIP MATCHED COHORT ANALYSIS". Surgery for Obesity and Related Diseases 15, n.º 10 (outubro de 2019): S13—S14. http://dx.doi.org/10.1016/j.soard.2019.08.065.

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Stojcev-Stajcic, L. J., e Z. Stajcic. "O.443 Marsupialization or drainage of large keratocyst assists the nature infilling the bone defects of the jaws". Journal of Cranio-Maxillofacial Surgery 34 (setembro de 2006): 120. http://dx.doi.org/10.1016/s1010-5182(06)60465-4.

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Wu, Joshua Su-Ya, e Austin J. Knuppe. "My Brother's Keeper? Religious Cues and Support for Foreign Military Intervention". Politics and Religion 9, n.º 3 (18 de julho de 2016): 537–65. http://dx.doi.org/10.1017/s1755048316000390.

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AbstractAmericans are reluctant to support foreign military intervention. However, if victims of violence are identified as Christians, support for intervention is higher. We term this a “Brother's Keeper” effect as Americans, especially more religious Americans, will support intervention that aids co-religionists. To test our argument, we use a survey experiment that randomly assigns respondents to varying accounts of violence in the Central African Republic. Respondents who read Christians are the victims of violence are more supportive of military intervention compared to respondents who read vignettes that do not identify the religious identities of victims. Moreover, these Brother's Keeper effects are stronger among more religious respondents. We also find even stronger effects when extrapolating results as a population effect with survey weights. Our findings reveal that labeling otherwise unknown foreign actors as Christian have significant effects on support for foreign military intervention.

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Torregrossa, Gianluca, Amit Pawale, Ahmed El-Eshmawi e Khanh Nguyen. "Left Ventricular Assists Device Insertion Via Small Right Axillary Incision in a Pediatric Patient". Journal of Cardiac Surgery 29, n.º 4 (22 de abril de 2014): 581–83. http://dx.doi.org/10.1111/jocs.12342.

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Blume, Warren T. "Invited Review: Clinical and Basic Neurophysiology of Generalised Epilepsies". Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 29, n.º 1 (fevereiro de 2002): 6–18. http://dx.doi.org/10.1017/s0317167100001670.

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Electroencephalography (EEG) clarifies several aspects of generalised epileptic seizures and epilepsies. For the clinician, it assists in the diagnosis of the epileptic condition and helps assign the disorder to an appropriate syndrome. This assignation and the quantity of epileptic discharges estimate severity and prognosis. When combined with relevant basic science investigations, EEG studies may disclose significant pathophysiological mechanisms. Therefore, this paper first describes EEG characteristics of the several disorders included under the broad category of “generalised”. The review then relates these phenomena to germane experimental data intending that this binocular survey will provide a more meaningful perspective of these disorders.

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Fitzenberger, Bernd, Annette Hillerich-Sigg e Maresa Sprietsma. "Different counselors, many options: Career guidance and career plans in secondary schools". German Economic Review 21, n.º 1 (28 de abril de 2020): 65–106. http://dx.doi.org/10.1515/ger-2019-0027.

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AbstractCareer guidance assists students with the school-to-work transition. Based on a survey conducted in secondary schools in Germany, we analyze career guidance activities and how these affect career plans. The take-up of career guidance depends upon the school track attended, and the school and the class setting, while personal characteristics are barely relevant. The effects of counseling depend upon the type of counseling provider. Counseling by the employment agency reduces plans for educational upgrading and increases the probability of applying for an apprenticeship, while the effects of counseling by school counselors works in the opposite direction for lower track students.

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Kašelionytė, Jurgita. "Shaping and Reshaping the Professional Self". Verbum 1 (6 de fevereiro de 2010): 85–94. http://dx.doi.org/10.15388/verb.2010.1.4943.

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The article introduces the concept of teacher identity and the variety of factors that influence its construction. Teacher identity covers the characteristics which the society assigns to the teacher profession and those which individual teachers attribute to it. Continuous changes in the education system impel teachers to develop specific competences and reshape their role in the teaching process. A survey carried out in Lithuania among English teachers aims to reveal which competences and roles are internalized without a considerable strain, and which cause more problems and discussions, and why. Although the majority of teachers have a positive attitude towards the repositioning of the professional self, respondents of the survey are quite critical about their minimal involvement in the decision making related to education policy. The survey also tries to define the main reasons for teachers’ stress at work, the topic which has been under a close investigation in the recent years. The issues analyzed in this article are illustrated by a review of professional literature devoted to this topic and the findings of a survey. The results prove that the problems discussed in professional literature are of great relevance to the present situation in Lithuanian educational institutions.

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Prasanna, J., M. S. P. Subathra, Mazin Abed Mohammed, Robertas Damaševičius, Nanjappan Jothiraj Sairamya e S. Thomas George. "Automated Epileptic Seizure Detection in Pediatric Subjects of CHB-MIT EEG Database—A Survey". Journal of Personalized Medicine 11, n.º 10 (15 de outubro de 2021): 1028. http://dx.doi.org/10.3390/jpm11101028.

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Epilepsy is a neurological disorder of the brain that causes frequent occurrence of seizures. Electroencephalography (EEG) is a tool that assists neurologists in detecting epileptic seizures caused by an unexpected flow of electrical activities in the brain. Automated detection of an epileptic seizure is a crucial task in diagnosing epilepsy which overcomes the drawback of a visual diagnosis. The dataset analyzed in this article, collected from Children’s Hospital Boston (CHB) and the Massachusetts Institute of Technology (MIT), contains long-term EEG records from 24 pediatric patients. This review paper focuses on various patient-dependent and patient-independent personalized medicine approaches involved in the computer-aided diagnosis of epileptic seizures in pediatric subjects by analyzing EEG signals, thus summarizing the existing body of knowledge and opening up an enormous research area for biomedical engineers. This review paper focuses on the features of four domains, such as time, frequency, time-frequency, and nonlinear features, extracted from the EEG records, which were fed into several classifiers to classify between seizure and non-seizure EEG signals. Performance metrics such as classification accuracy, sensitivity, and specificity were examined, and challenges in automatic seizure detection using the CHB-MIT database were addressed.

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Huang, Beixun, Haijun Li, Zeying Huang, Jiazhang Huang e Junmao Sun. "Sustainable Healthy Diets and Demand for the Front-of-Package Labeling: Evidence from Consumption of Fresh Pork". Sustainability 14, n.º 19 (28 de setembro de 2022): 12315. http://dx.doi.org/10.3390/su141912315.

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Front of Package (FOP) labeling, which assists consumers in understanding the nutritional status of fresh pork, could help reduce Chinese residents’ excessive meat intake and greenhouse gas emissions. Nevertheless, little is known about the price elasticity of consumers’ demand for the FOP labeling on fresh pork. This study implemented a contingent valuation survey by using a representative survey of 930 adults across China. The results indicated that respondents’ demand for FOP labeling applied to fresh pork was price inelastic (−0.209). Moreover, there existed significant population heterogeneity in the price elasticity of demand. Specifically, WTP increased for the urban population and those who paid regular attention to pork’s nutritional value. Overall, Chinese consumers had rigid demand for FOP labeling on fresh pork, and policy makers should pay close attention to consumer reactions to the price of FOP labeling and promote this application on fresh pork.

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Lopez-Perez, Victor. "Macroeconomic forecast uncertainty in the euro area". Equilibrium 11, n.º 1 (31 de março de 2016): 9. http://dx.doi.org/10.12775/equil.2016.001.

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This paper estimates aggregate measures of macroeconomic uncertainty from individual density forecasts by professional forecasters. The methodology used in the paper improves on the existing literature along two dimensions. Firstly, it controls for changes to the composition of the panel of respondents to the survey. And secondly, it assigns more weight to the information submitted by forecasters with better forecasting performance. Using data from the European Central Bank’s Survey of Professional Forecasters from 1999 Q1 to 2014 Q3, the paper finds that the effects of changes in the composition of the panel on aggregate uncertainty can be large in a statistical and economic sense. It also finds that the estimates of aggregate uncertainty that use performance-based weights differ significantly from the simple averages used in the literature and their dynamics are more consistent with the dynamics displayed by the estimates of uncertainty computed from financial indicators.

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