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Journal articles on the topic 'Many-Tasks'

Author: Grafiati
Published: 26 September 2023

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1

James, Adam. "Too many tasks." Nature 475, no. 7355 (July 2011): 257. http://dx.doi.org/10.1038/nj7355-257a.

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Pathania, Anuj, Vanchinathan Venkataramani, Muhammad Shafique, Tulika Mitra, and Jörg Henkel. "Defragmentation of Tasks in Many-Core Architecture." ACM Transactions on Architecture and Code Optimization 14, no. 1 (April 14, 2017): 1–21. http://dx.doi.org/10.1145/3050437.

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3

Siegler, Robert S., Clarissa A. Thompson, and John E. Opfer. "The Logarithmic-To-Linear Shift: One Learning Sequence, Many Tasks, Many Time Scales." Mind, Brain, and Education 3, no. 3 (September 2009): 143–50. http://dx.doi.org/10.1111/j.1751-228x.2009.01064.x.

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Sauer, Michael, and Nam Soo Han. "Lactic acid bacteria: little helpers for many human tasks." Essays in Biochemistry 65, no. 2 (July 2021): 163–71. http://dx.doi.org/10.1042/ebc20200133.

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Abstract Lactic acid bacteria (LAB) are a group of highly specialised bacteria specifically adapted to a diverse range of habitats. They are found in the gut of humans and other animals, in many food fermentations, and on plants. Their natural specialisation in close relation to human activities make them particularly interesting from an industrial point of view. They are relevant not only for traditional food fermentations, but also as probiotics, potential therapeutics and cell factories for the production of many different products. Many new tools and methods are being developed to analyse and modify these microorganisms. This review shall give an overview highlighting some of the most striking characteristics of lactic acid bacteria and our approaches to harness their potential in many respects – from home made food to industrial chemical production, from probiotic activities to the most modern cancer treatments and vaccines.
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5

Zhang, Fan, Junwei Cao, Keqin Li, Samee U. Khan, and Kai Hwang. "Multi-objective scheduling of many tasks in cloud platforms." Future Generation Computer Systems 37 (July 2014): 309–20. http://dx.doi.org/10.1016/j.future.2013.09.006.

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Karbach, Werner, Marc Linster, and Angi Voss. "Models, methods, roles and tasks: Many labels—one idea?" Knowledge Acquisition 2, no. 4 (December 1990): 279–99. http://dx.doi.org/10.1016/s1042-8143(05)80011-1.

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7

Chen, Jian-Jia, Geoffrey Nelissen, Wen-Hung Huang, Maolin Yang, Björn Brandenburg, Konstantinos Bletsas, Cong Liu, et al. "Many suspensions, many problems: a review of self-suspending tasks in real-time systems." Real-Time Systems 55, no. 1 (September 11, 2018): 144–207. http://dx.doi.org/10.1007/s11241-018-9316-9.

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8

Goncharova, Lyubov. "Contemporary Communicativism: Many-Face of Problems and Difference of Tasks." Scientific Research and Development. Modern Communication Studies 10, no. 5 (November 3, 2021): 5–10. http://dx.doi.org/10.12737/2587-9103-2021-10-5-5-10.

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The editor-in-chief’s column provides an overview of the issue, trends and directions of modern communication research are noted. In this issue of the journal, we get acquainted with representatives of Russian scientific schools that develop issues of linguoecology, professional, political, advertising communication, translation, teaching of communicative disciplines, etc. aspects of communication studies.
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9

Sattler, Gunter. "PEFCs for naval ships and submarines: many tasks, one solution." Journal of Power Sources 71, no. 1-2 (March 1998): 144–49. http://dx.doi.org/10.1016/s0378-7753(97)02717-1.

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10

Nita, Mihaela-Catalina, Florin Pop, Cristiana Voicu, Ciprian Dobre, and Fatos Xhafa. "MOMTH: multi-objective scheduling algorithm of many tasks in Hadoop." Cluster Computing 18, no. 3 (April 21, 2015): 1011–24. http://dx.doi.org/10.1007/s10586-015-0454-8.

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Ludvík, Jiří. "Many tasks, but what is common for all of them?" Journal of Solid State Electrochemistry 24, no. 9 (June 15, 2020): 2129–30. http://dx.doi.org/10.1007/s10008-020-04712-0.

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12

GWIAZDA, JEREMY. "A PROOF OF THE IMPOSSIBILITY OF COMPLETING INFINITELY MANY TASKS." Pacific Philosophical Quarterly 93, no. 1 (March 2012): 1–7. http://dx.doi.org/10.1111/j.1468-0114.2011.01412.x.

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13

Hoey, Jesse, and Marek Grzes. "Distributed Control of Situated Assistance in Large Domains with Many Tasks." Proceedings of the International Conference on Automated Planning and Scheduling 21 (March 22, 2011): 90–97. http://dx.doi.org/10.1609/icaps.v21i1.13468.

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This paper tackles the problem of building situated prompting and assistance systems for guiding a human with a cognitive disability through a large domain containing multiple tasks. This problem is challenging because the target population has difficulty maintaining goals, recalling necessary steps and recognizing objects and potential actions (affordances), and therefore may not appear to be acting rationally. Prompts or cues from an automated system can be very helpful in this regard, but the domain is inherently partially observable due to sensor noise and uncertain human behaviours, making the task of selecting an appropriate prompt very challenging. Prior work has shown how such automated assistance for a single task can be modeled as a partially observable Markov decision process (POMDP). In this paper, we generalise this to multiple tasks, and show how to build a scalable, distributed and hierarchical controller. We demonstrate the algorithm in a set of simulated domains and show it can perform as well as the full model in many cases, and can give solutions to large problems (over 1015 states and 109 observations) for which the full model fails to find a policy.
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TAYAMA, Tadayuki. "DEVELOPMENTAL STUDY OF TIME CONCEPTION BY COMPARISON TASKS UNDER MANY CONDITIONS." Japanese Journal of Educational Psychology 34, no. 3 (1986): 211–19. http://dx.doi.org/10.5926/jjep1953.34.3_211.

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15

Yang, Guangyu Robert, Madhura R. Joglekar, H. Francis Song, William T. Newsome, and Xiao-Jing Wang. "Task representations in neural networks trained to perform many cognitive tasks." Nature Neuroscience 22, no. 2 (January 14, 2019): 297–306. http://dx.doi.org/10.1038/s41593-018-0310-2.

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16

Bravo-Palacios, Gabriel, A. Del Prete, and Patrick M. Wensing. "One Robot for Many Tasks: Versatile Co-Design Through Stochastic Programming." IEEE Robotics and Automation Letters 5, no. 2 (April 2020): 1680–87. http://dx.doi.org/10.1109/lra.2020.2969948.

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17

LOSEL, R., D. BESONG, J. PELUSO, and M. WEHLING. "Progesterone receptor membrane component 1—Many tasks for a versatile protein." Steroids 73, no. 9-10 (October 2008): 929–34. http://dx.doi.org/10.1016/j.steroids.2007.12.017.

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18

Iosup, A., S. Ostermann, M. N. Yigitbasi, R. Prodan, T. Fahringer, and D. H. J. Epema. "Performance Analysis of Cloud Computing Services for Many-Tasks Scientific Computing." IEEE Transactions on Parallel and Distributed Systems 22, no. 6 (June 2011): 931–45. http://dx.doi.org/10.1109/tpds.2011.66.

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19

Sensky, Tom. "The General Hospital Psychiatrist: Too Many Tasks and Too Few Roles?" British Journal of Psychiatry 148, no. 2 (February 1986): 151–58. http://dx.doi.org/10.1192/bjp.148.2.151.

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What should the general hospital psychiatrist do, and how should he do it? In psychiatric settings, psychiatrists may legitimately confine their attention to those patients whose disorders can be classified according to ICD-9, but in general hospital settings, the same approach defines a very restricted range of activities. Evidence is reviewed which highlights the differences between psychiatric disorders encountered in psychiatric hospitals and those found in primary care or general hospital settings. Different activities proposed for the general hospital psychiatrist, and the results of research comparing these, are reviewed. A recent study is discussed in which alteration of the psychiatrist's method of practice in a general medical unit produced considerable changes in the pattern of psychiatric referrals. Evaluation of the efficacy of their interventions should remain the ultimate goal of general hospital psychiatrists. This can be adequately undertaken only by means of better understanding of the process by which general hospital patients attract psychiatric referral.
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de Jong, Kor, Debabrata Panja, Marc van Kreveld, and Derek Karssenberg. "An environmental modelling framework based on asynchronous many-tasks: Scalability and usability." Environmental Modelling & Software 139 (May 2021): 104998. http://dx.doi.org/10.1016/j.envsoft.2021.104998.

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de Jong, Kor, Debabrata Panja, Derek Karssenberg, and Marc van Kreveld. "Scalability and composability of flow accumulation algorithms based on asynchronous many-tasks." Computers & Geosciences 162 (May 2022): 105083. http://dx.doi.org/10.1016/j.cageo.2022.105083.

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22

Mahler, Stefanie, and Daniel Besser. "The German stem cell network GSCN - a nationwide network with many tasks." Stem Cell Research 42 (January 2020): 101672. http://dx.doi.org/10.1016/j.scr.2019.101672.

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23

Leggio, Bruno, Pierre Doyeux, Riccardo Messina, and Mauro Antezza. "Distributed thermal tasks on many-body systems through a single quantum machine." EPL (Europhysics Letters) 112, no. 4 (November 1, 2015): 40004. http://dx.doi.org/10.1209/0295-5075/112/40004.

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24

Gandola, Martina, Alessio Toraldo, Paola Invernizzi, Laura Corrado, Maurizio Sberna, Ignazio Santilli, Gabriella Bottini, and Eraldo Paulesu. "How many forms of perseveration? Evidence from cancellation tasks in right hemisphere patients." Neuropsychologia 51, no. 14 (December 2013): 2960–75. http://dx.doi.org/10.1016/j.neuropsychologia.2013.10.023.

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25

Belletti, Barbara, and Gustavo Baldassarre. "Stathmin: a protein with many tasks. New biomarker and potential target in cancer." Expert Opinion on Therapeutic Targets 15, no. 11 (October 7, 2011): 1249–66. http://dx.doi.org/10.1517/14728222.2011.620951.

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26

Lombardo, Nancy T., and Amy Honisett. "One Tool for Many Tasks: Integrating Ipads into the Third-Year Learning Experience." Medical Reference Services Quarterly 33, no. 1 (January 2014): 17–28. http://dx.doi.org/10.1080/02763869.2014.866445.

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Nemunaitis, John. "Stathmin 1: a protein with many tasks. New biomarker and potential target in cancer." Expert Opinion on Therapeutic Targets 16, no. 7 (June 12, 2012): 631–34. http://dx.doi.org/10.1517/14728222.2012.696101.

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28

O'Rear, Connor D., Patrick K. Kirkland, and David J. Purpura. "The how many and give-N tasks: Conceptually distinct measures of the cardinality principle." Early Childhood Research Quarterly 66 (2024): 61–74. http://dx.doi.org/10.1016/j.ecresq.2023.08.010.

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29

Albin, Thomas J. "Compound manual material handling tasks: Does a worst-case analysis of sub-tasks lead to underestimation of risk?" Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (November 2019): 997–99. http://dx.doi.org/10.1177/1071181319631198.

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Many MMH tasks are composites of multiple sub-tasks: lifting, carrying, pushing, and pulling. Many current methodologies of evaluating risk in MMH tasks provide an estimate of the percent of workers capable of each sub-task independently, but do not directly evaluate synergistic effects of all sub-tasks on risk of injury. Additionally, no risk evaluation methodologies evaluate risk from braking. These limitations may lead to underestimates of the risk of injury in composite MMH tasks.
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30

Maity, Arka, Anuj Pathania, and Tulika Mitra. "PkMin: Peak Power Minimization for Multi-Threaded Many-Core Applications." Journal of Low Power Electronics and Applications 10, no. 4 (September 30, 2020): 31. http://dx.doi.org/10.3390/jlpea10040031.

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Multiple multi-threaded tasks constitute a modern many-core application. An accompanying generic Directed Acyclic Graph (DAG) represents the execution precedence relationship between the tasks. The application comes with a hard deadline and high peak power consumption. Parallel execution of multiple tasks on multiple cores results in a quicker execution, but higher peak power. Peak power single-handedly determines the involved cooling costs in many-cores, while its violations could induce performance-crippling execution uncertainties. Less task parallelization, on the other hand, results in lower peak power, but a more prolonged deadline violating execution. The problem of peak power minimization in many-cores is to determine task-to-core mapping configuration in the spatio-temporal domain that minimizes the peak power consumption of an application, but ensures application still meets the deadline. All previous works on peak power minimization for many-core applications (with or without DAG) assume only single-threaded tasks. We are the first to propose a framework, called PkMin, which minimizes the peak power of many-core applications with DAG that have multi-threaded tasks. PkMin leverages the inherent convexity in the execution characteristics of multi-threaded tasks to find a configuration that satisfies the deadline, as well as minimizes peak power. Evaluation on hundreds of applications shows PkMin on average results in 49.2% lower peak power than a similar state-of-the-art framework.
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31

Kolobov, Andrey, Mausam, and Daniel Weld. "Joint Crowdsourcing of Multiple Tasks." Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 1 (November 3, 2013): 36–37. http://dx.doi.org/10.1609/hcomp.v1i1.13115.

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Allocating tasks to workers so as to get the greatest amount of high-quality output for as little resources as possible is an overarching theme in crowdsourcing research. Among the factors that complicate this problem is the lack of information about the available workers’ skill, along with unknown difficulty of the tasks to be solved. Moreover, if a crowdsourcing platform customer is limited to a fixed-size worker pool to complete a large batch of jobs such as identifying a particular object in a collection of images or comparing the quality of many pairs of artifacts in crowdsourcing workflows, she inevitably faces the tradeoff between getting a few of these tasks done well or getting many done poorly. In this paper, we propose a framework called JOCR (Joint Crowdsourcing, pronounced as “Joker”) for analyzing joint allocations of many tasks to a pool of workers. JOCR encompasses a broad class of common crowdsourcing scenarios, and we pose the challenge of developing efficient algorithms for it.
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32

Jinho Lee, Moo-Kyoung Chung, Yeon-Gon Cho, Soojung Ryu, Jung Ho Ahn, and Kiyoung Choi. "Mapping and Scheduling of Tasks and Communications on Many-Core SoC Under Local Memory Constraint." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 32, no. 11 (November 2013): 1748–61. http://dx.doi.org/10.1109/tcad.2013.2266405.

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33

Calhoun, Gloria L., Heath A. Ruff, Mark H. Draper, and Evan J. Wright. "Automation-Level Transference Effects in Simulated Multiple Unmanned Aerial Vehicle Control." Journal of Cognitive Engineering and Decision Making 5, no. 1 (March 2011): 55–82. http://dx.doi.org/10.1177/1555343411399069.

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Supervisory control of multiple unmanned aerial vehicles (UAVs) raises many questions concerning the balance of system autonomy with human interaction for effective operator situation awareness and system performance. The reported experiment used a UAV simulation environment to evaluate two applications of autonomy levels across two primary control tasks: allocation (assignment of sensor tasks to vehicles) and router (determining vehicles’ flight plans). In one application, the autonomy level was the same across these two tasks. In the other, the autonomy levels differed, one of the two tasks being more automated than the other. Trials also involved completion of other mission-related secondary tasks as participants supervised three UAVs. The results showed that performance on both the primary tasks and many secondary tasks was better when the level of automation was the same across the two sequential primary tasks. These findings suggest that having the level of automation similar across closely coupled tasks reduces mode awareness problems, which can negate the intended benefits of a fine-grained application of automation. Several research issues are identified to further explore the impact of automation-level transference in supervisory control applications involving the application of automation across numerous tasks.
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Beeson, R. C. "Scheduling Woody Plants for Production and Harvest." HortTechnology 1, no. 1 (October 1991): 30–35. http://dx.doi.org/10.21273/horttech.1.1.30.

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Growth characteristics and marketing of woody ornamentals prevent crop scheduling common in floriculture crops. However, many tasks in the production of woody ornamentals require coordination with the season and/or physiological state of the species. Since most woody ornamental nurseries produce many species or cultivars, a variety of tasks occur concurrently. This review highlights the major tasks required during production for most species of woody plants. The physiological and environmental factors that dictate or influence scheduling are discussed.
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Drouin, Julia R., and Rachel M. Theodore. "Many tasks, same outcome: Role of training task on learning and maintenance of noise-vocoded speech." Journal of the Acoustical Society of America 152, no. 2 (August 2022): 981–93. http://dx.doi.org/10.1121/10.0013507.

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Listeners who use cochlear implants show variability in speech recognition. Research suggests that structured auditory training can improve speech recognition outcomes in cochlear implant users, and a central goal in the rehabilitation literature is to identify factors that maximize training. Here, we examined factors that may influence perceptual learning for noise-vocoded speech in normal hearing listeners as a foundational step towards clinical recommendations. Three groups of listeners were exposed to anomalous noise-vocoded sentences and completed one of three training tasks: transcription with feedback, transcription without feedback, or talker identification. Listeners completed a word transcription test at three time points: immediately before training, immediately after training, and one week following training. Accuracy at test was indexed by keyword accuracy at the sentence-initial and sentence-final position for high and low predictability noise-vocoded sentences. Following training, listeners showed improved transcription for both sentence-initial and sentence-final items, and for both low and high predictability sentences. The training groups showed robust and equivalent learning of noise-vocoded sentences immediately after training. Critically, gains were largely maintained equivalently among training groups one week later. These results converge with evidence pointing towards the utility of non-traditional training tasks to maximize perceptual learning of noise-vocoded speech.
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36

Kordyaka, Bastian, Mario Lackner, and Hendrik Sonnabend. "Can too many cooks spoil the broth? Coordination costs, fatigue, and performance in high‐intensity tasks." Southern Economic Journal 88, no. 3 (November 5, 2021): 1065–85. http://dx.doi.org/10.1002/soej.12542.

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37

Indira, K., and R. Karthikeyan. "Performance Analysis and Optimization of Multi-Cloud Compuitng for Loosly Coupled MTC Applications." Asian Journal of Computer Science and Technology 1, no. 1 (May 5, 2012): 125–29. http://dx.doi.org/10.51983/ajcst-2012.1.1.1693.

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Cloud storage enables network online storage where data is stored on multiple virtual servers. In order to carry out huge tasks in cloud environment, single cloud provider is not sufficient to perform the many tasks applications and services. For Handling Intensive task, need to have multi cloud environment to improve the cost-effectiveness of the deployment and increase availability. Larger tasks are carried out by processing of many tasks at a time in a cloud computing environment. In this paper, for efficient handling of multiple tasks, need to have the performance analysis and optimization of all tasks in the multi-cloud environment. Performance analyses consist of CPU scheduling, Memory utilization, I/O tasks, and resource time sharing and cost benefits. Earlier system concentrates on the deployment of multi cloud architecture and multi-processing needs more accuracy, scalability and efficiency. In the methodology, Job allocation by front end server and service LAN are used. This research will achieved the process of multitasking environment in multi cloud infrastructure by having some effective tools for measuring over all performance and optimization of multi cloud computing services.
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38

Huang, Ming-Hui, Roland Rust, and Vojislav Maksimovic. "The Feeling Economy: Managing in the Next Generation of Artificial Intelligence (AI)." California Management Review 61, no. 4 (July 21, 2019): 43–65. http://dx.doi.org/10.1177/0008125619863436.

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The capability of AI is currently expanding beyond mechanical and repetitive to analytical and thinking. A “Feeling Economy” is emerging, in which AI performs many of the analytical and thinking tasks, and human workers gravitate more toward interpersonal and empathetic tasks. Although these people-focused tasks have always been important to jobs, they are now becoming more important to an unprecedented degree. To manage more effectively in the Feeling Economy, managers must adapt the nature of jobs to compensate for the fact that many of the analytical and thinking tasks are increasingly being performed by AI, and, thus, human workers must place increased emphasis on the empathetic and emotional dimensions of their work.
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39

ABDEL MAKSOUD, EHAB Y. "EFFICIENT COMBINED SCHEDULING OF HARD AND SOFT REAL-TIME TASKS IN MULTIPROCESSOR SYSTEMS UNDER A PROCESSING POWER-SHARE STRATEGY." Parallel Processing Letters 19, no. 01 (March 2009): 23–38. http://dx.doi.org/10.1142/s0129626409000043.

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Increasingly, real-time systems are being used in applications that contain tasks that have deadlines and require predictable performance. Many complex real-time applications require modern operating systems capable of scheduling multiple classes of tasks in an integrated way. These applications require scheduling that result in high utilization of available processing power to accommodate as many tasks as possible while satisfying the required deadlines of each task. In this paper, we propose a combined heuristic approach to schedule a set of independent soft and hard real-time tasks in multiprocessor computing systems. Each of these tasks is characterized by its arrival time, deadline and required processing power. The proposed approach distributes the total available processing power of any processor, if it is needed and possible, among more than one task, while ensuring that hard real-time tasks are given higher priority and enough processing power to meet deadlines. This strategy can be used as a tool to efficiently guide scheduling processes. In addition, it can help to optimize processor utilization and maintain higher success ratios by maximizing the schedulability of soft tasks without jeopardizing the schedulability of hard tasks.
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Chen, Huihui, Bin Guo, Zhiwen Yu, and Liming Chen. "A location-constrained crowdsensing task allocation method for improving user satisfaction." International Journal of Distributed Sensor Networks 15, no. 10 (October 2019): 155014771988398. http://dx.doi.org/10.1177/1550147719883987.

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Mobile crowdsensing is a special data collection manner which collects data by smart phones taken by people every day. It is essential to pick suitable workers for different outdoor tasks. Constrained by participants’ locations and their daily travel rules, they are likely to accomplish light outdoor tasks by their way without extra detours. Previous researchers found that people prefer to accomplish a certain number of tasks at a time; thus, we focus on assigning light outdoor tasks to workers by considering two optimization objectives, including (1) maximizing the ratio of light tasks for different workers and (2) maximizing the worker’s satisfaction on assigned tasks. This task allocation problem is a non-deterministic polynomial-time-hard due to two reasons, that is, tasks and workers are many-to-many relationships and workers move from different places to different places. Considering both optimization objectives, we design the global-optimizing task allocation algorithm, which greedily selects the most appropriate participant until either no participant can be chosen or no tasks can be assigned. For the purpose of emulating real scenarios, different scales of maps, tasks, and workers are simulated to evaluate algorithms. Experimental results verify that the proposed global-optimizing method outperforms baselines on both maximization objectives.
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41

Buckner, Randy L., Mark E. Wheeler, and Margaret A. Sheridan. "Encoding Processes during Retrieval Tasks." Journal of Cognitive Neuroscience 13, no. 3 (April 1, 2001): 406–15. http://dx.doi.org/10.1162/08989290151137430.

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Episodic memory encoding is pervasive across many kinds of task and often arises as a secondary processing effect in tasks that do not require intentional memorization. To illustrate the pervasive nature of information processing that leads to epeisodic encoding, a form of incidental encoding was explored based on the “Testing” phenomenon: The incidental-encoding task was an episodic memory retrieval task. Behavioral data showed that performing a memory retrieval task was as effedctive as intentional instructions at promoting episodic encoding. During fMRI imaging, subjedcts veiewed old and new words adn indicated whether they remembered them. Relevant to encoding, the fate of the new words was examined using a second, surprise test of recognition after the imaging session, fMRI analysis of those new words that were later remembered revealed greater activity in left frontal regions than those that were later forgotten-the same pattern of results as previously observed for traditional incidental and intentional episodic encoding tasks. This finding may offer a partial explanation for why repeated testing improves memory performance. Furthermore, the observation of correlates of episodic memory encoding during retrieval tasks challenges some interpretations that aris from direct comparisons between: encoding tasks and “retrieval tasks” in imaging data. Encoding processes and their neural correlates may arise in many tasks, even those nominally labeled as retrieval tasks by the experimenter.
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42

Bansak, Kirk, Jens Hainmueller, Daniel J. Hopkins, and Teppei Yamamoto. "The Number of Choice Tasks and Survey Satisficing in Conjoint Experiments." Political Analysis 26, no. 1 (January 2018): 112–19. http://dx.doi.org/10.1017/pan.2017.40.

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In recent years, political and social scientists have made increasing use of conjoint survey designs to study decision-making. Here, we study a consequential question which researchers confront when implementing conjoint designs: How many choice tasks can respondents perform before survey satisficing degrades response quality? To answer the question, we run a set of experiments where respondents are asked to complete as many as 30 conjoint tasks. Experiments conducted through Amazon’s Mechanical Turk and Survey Sampling International demonstrate the surprising robustness of conjoint designs, as there are detectable but quite limited increases in survey satisficing as the number of tasks increases. Our evidence suggests that in similar study contexts researchers can assign dozens of tasks without substantial declines in response quality.
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43

Khateeb, Ahmad Al, and Sultan Almujaiwel. "Communicative Activities in Saudi EFL Textbooks: A Corpus-driven Analysis." Journal of Language Teaching and Research 9, no. 6 (November 1, 2018): 1301. http://dx.doi.org/10.17507/jltr.0906.20.

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This paper investigates the speaking and communication tasks in EFL textbooks in Saudi Arabia by means of corpus analysis. This analysis explores the extent to which the speaking tasks provided in Saudi EFL textbooks are communicatively incompetent, and is important due to the unsatisfactory, limited levels achieved by many learners of English at most educational stages, specifically primary, intermediate, and secondary. The reason for the poor oral skills among many EFL learners is due to the absence of authentic language learning tasks in a wide range of situations. The techniques used to detect the range of communicative tasks are based on sketching and retrieving the n-grams of in pairs and the verbal collocates say, talk, tell, ask, and discuss in a span of n = 2 ≤ ≥ 2. The experimental analysis driven from the intended textbooks shows that speaking tasks lack reasonable distributions of everyday communication examples and speaking/communicative situations.
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44

Moore, A. W. "II—A Problem for Intuitionism: The Apparent Possibility of Performing Infinitely Many Tasks in a Finite Time." Proceedings of the Aristotelian Society 90, no. 1 (June 1, 1990): 17–34. http://dx.doi.org/10.1093/aristotelian/90.1.17.

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45

Morowsky, Katarina, and Kenneth H. Funk. "Understanding Differences in Helicopter Mission Sets Prior to Human Error Analysis." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, no. 1 (September 2016): 1439–43. http://dx.doi.org/10.1177/1541931213601330.

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Helicopters are essential for completion of many critical missions that are impossible for fixed-wing aircraft since they can operate around rough terrain and require minimal ground infrastructure. Like many complex environments, human error is thought to be a contributing factor for roughly eighty percent of helicopter accidents. While the aviation industry favors umbrella strategies within the United States Federal Aviation Regulations, this approach may be less than optimal for rotor-wing operations given the diversity of tasks within different mission sets. To understand the differences in tasks across mission sets, interviews were conducted with pilots to create Hierarchical Task Analysis (HTA) models of tasks required to successfully complete Helicopter Air Ambulance (HAA) and Maritime Search and Rescue (SAR) missions. The HTA models were compared to identify differences in tasks across missions. The tasks identified within the HTA models will be combined with findings from subsequent accident report analysis studies to develop mitigation strategies specific to helicopter missions.
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46

Caio Vinicius Bertolini and Roberto Monteiro. "2D Image Object Detection Aided by Generative Adversarial Networks: A Literature Review." JOURNAL OF BIOENGINEERING, TECHNOLOGIES AND HEALTH 5, no. 3 (November 15, 2022): 202–7. http://dx.doi.org/10.34178/jbth.v5i3.228.

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Object Detection (OD) is one of the most critical tasks in 2D image processing. The researchers proposed multiple math models and frameworks based on Deep Convolutional Networks, such as R-CNN, SSD, and YOLO are the most common. Generative Adversarial Nets (GAN) represent a prominent field of study in machine learning, and it has been applied to many tasks with exciting results. This work aims to assess the potential of GANs applied to OD tasks and the proposed frameworks as a field of study. The methodology used was a systemic review of 14 papers. The conclusion shows that although OD and GANs are popular themes, there are not many developments in the intersection of both subjects. Therefore, OD with GAN-applied tasks is an excellent field to explore in future works.
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Schierl, Andreas, Alwin Hoffmann, Ludwig Nägele, and Wolfgang Reif. "Integrating planning and reactive behavior by using semantically annotated robot tasks." Encyclopedia with Semantic Computing and Robotic Intelligence 02, no. 01 (June 2018): 1850005. http://dx.doi.org/10.1142/s2529737618500053.

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Tasks that change the physical state of a robot and its environment take a considerable amount of time to execute. However, many robot applications spend the execution time waiting, although the following tasks might require time to prepare. This paper proposes to amend robot tasks with a semantic description of their expected outcomes, which allows planning and preparing successive tasks based on this information. The suggested approach allows sequential and parallel compositions of tasks, as well as reactive behavior modeled as state machines. The paper describes the means of modeling and executing these tasks, details different possibilities of planning in state-machine tasks and evaluates the benefits achievable using the approach on two example scenarios.
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48

Jevtić, Radoje. "Differences between standards related to fire protection systems design." Tehnika 76, no. 3 (2021): 386–92. http://dx.doi.org/10.5937/tehnika2103386j.

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Fire protection and design of fire protection systems present very important engineering tasks in protection of human lives, animals and material properties. Because of its great significance, everything in fire protection and fire protection systems design must be defined by appropriate standards. There are several different standards in use in different countries around the world. Very often, in solvation of different fire protection tasks, there are many questions asked which standard should be used. There are many similarities between standards, but there are also many differences between standards. Also, some standards don't define at all some cases that can be found in fire protection. This paper was written to present solutions for some particular tasks by some valid standards (EN 54, BS, NPB 88-2001, VDE 088-2 and NFPA 72) in fire protection and differences between them in the same cases.
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Ren, Ming, Ziqi Zhang, Jun Zhang, and Luca Mora. "Understanding the Use of Heterogenous Data in Tackling Urban Flooding: An Integrative Literature Review." Water 14, no. 14 (July 7, 2022): 2160. http://dx.doi.org/10.3390/w14142160.

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Data-driven approaches to urban flooding management require a comprehensive understanding of how heterogenous data are leveraged in tackling this problem. In this paper, we conduct an integrative review of related studies, and this is structured based on two angles: tasks and data. From the selected 69 articles on this topic, diverse tasks in tackling urban flooding are identified and categorized into eight categories, and heterogeneous data are summarized by their content type and source into eight categories. The links between tasks and data are identified by synthesizing what data are used to support the tasks in the studies. The task–data links are a many-to-many relationship in the sense that one particular data category supports multiple tasks, and one particular task uses data from multiple categories. The future research opportunities are also discussed based on our observations. This paper serves a signpost for researchers who wish to gain an overview of the heterogenous data and their use in this field and lays a foundation for studies that aim to develop a data-driven approach to tackle urban flooding.
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Doroudi, Shayan, Ece Kamar, and Emma Brunskill. "Not Everyone Writes Good Examples but Good Examples Can Come from Anywhere." Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 7 (October 28, 2019): 12–21. http://dx.doi.org/10.1609/hcomp.v7i1.5269.

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In many online environments, such as massive open online courses and crowdsourcing platforms, many people solve similar complex tasks. As a byproduct of solving these tasks, a pool of artifacts are created that may be able to help others perform better on similar tasks. In this paper, we explore whether work that is naturally done by crowdworkers can be used as examples to help future crowdworkers perform better on similar tasks. We explore this in the context of a product comparison review task, where workers must compare and contrast pairs of similar products. We first show that randomly presenting one or two peer-generated examples does not significantly improve performance on future tasks. In a second experiment, we show that presenting examples that are of sufficiently high quality leads to a statistically significant improvement in performance of future workers on a near transfer task. Moreover, our results suggest that even among high quality examples, there are differences in how effective the examples are, indicating that quality is not a perfect proxy for pedagogical value.
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