Статті в журналах: "Safe moving"

1

Blood, Rachel. "Safe moving and handling of individuals." Nursing and Residential Care 7, no. 10 (October 2005): 439–41. http://dx.doi.org/10.12968/nrec.2005.7.10.19766.

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2

Miller, Jane Lindsay, Kellie Bryant, and Christine Park. "Moving From “Safe” to “Brave” Conversations." Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare 16, no. 4 (August 2021): 231–32. http://dx.doi.org/10.1097/sih.0000000000000605.

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3

Ahn, Ye-lin. "Efficiency in Meeting or Moving Safe Regions." International Journal of Neural Systems Engineering 1, no. 2 (November 30, 2017): 15–20. http://dx.doi.org/10.21742/ijnse.2017.1.2.03.

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4

Al-Khalidi, Haidar, David Taniar, John Betts, and Sultan Alamri. "Monitoring Moving Queries inside a Safe Region." Scientific World Journal 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/630396.

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With mobile moving range queries, there is a need to recalculate the relevant surrounding objects of interest whenever the query moves. Therefore, monitoring the moving query is very costly. The safe region is one method that has been proposed to minimise the communication and computation cost of continuously monitoring a moving range query. Inside the safe region the set of objects of interest to the query do not change; thus there is no need to update the query while it is inside its safe region. However, when the query leaves its safe region the mobile device has to reevaluate the query, necessitating communication with the server. Knowing when and where the mobile device will leave a safe region is widely known as a difficult problem. To solve this problem, we propose a novel method to monitor the position of the query over time using a linear function based on the direction of the query obtained by periodic monitoring of its position. Periodic monitoring ensures that the query is aware of its location all the time. This method reduces the costs associated with communications in client-server architecture. Computational results show that our method is successful in handling moving query patterns.

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5

Alexander, Kamila A., Christopher L. Coleman, Janet A. Deatrick, and Loretta S. Jemmott. "Moving beyond safe sex to women-controlled safe sex: a concept analysis." Journal of Advanced Nursing 68, no. 8 (November 23, 2011): 1858–69. http://dx.doi.org/10.1111/j.1365-2648.2011.05881.x.

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6

AL-Khalidi, Haidar, David Taniar, John Betts, and Sultan Alamri. "On finding safe regions for moving range queries." Mathematical and Computer Modelling 58, no. 5-6 (September 2013): 1449–58. http://dx.doi.org/10.1016/j.mcm.2012.11.023.

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7

Nazarko, Linda. "Safe moving and handling: A guide to hoists." Nursing and Residential Care 7, no. 12 (December 2005): 551–53. http://dx.doi.org/10.12968/nrec.2005.7.12.20085.

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8

Gibbs, Larry. "Moving the bar: The conduct of safe science!" Journal of Chemical Health and Safety 20, no. 3 (May 2013): 48. http://dx.doi.org/10.1016/j.jchas.2013.03.453.

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9

Rastgoftar, Hossein, Ella M. Atkins, and Dimitra Panagou. "Safe Multiquadcopter System Continuum Deformation Over Moving Frames." IEEE Transactions on Control of Network Systems 6, no. 2 (June 2019): 737–49. http://dx.doi.org/10.1109/tcns.2018.2873204.

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10

Ponic, Pamela, Colleen Varcoe, Lorraine Davies, Marilyn Ford-Gilboe, Judith Wuest, and Joanne Hammerton. "Leaving ≠ Moving." Violence Against Women 17, no. 12 (December 2011): 1576–600. http://dx.doi.org/10.1177/1077801211436163.

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Access to safe and affordable housing is a key concern for women leaving abusive partners. Yet little is known about women’s housing patterns around leaving. In this community sample, approximately equal numbers of women did not move, moved once, and moved two or more times during the transition period around leaving. Overall, moving patterns were associated with housing type and suitability, economic circumstances, and severity of violence. This study calls into question the tendency to equate leaving with moving, draws attention to the different housing patterns after leaving, and highlights the need to tailor housing supports to diverse women.

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11

Anderson, Matthew P., Susan Carlisle, Clare Thomson, Catherine Ross, Helen J. Reid, Nigel D. Hart, and Angela Clarke. "Safe moving and handling of patients: an interprofessional approach." Nursing Standard 28, no. 46 (July 16, 2014): 37–41. http://dx.doi.org/10.7748/ns.28.46.37.e8663.

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12

Wanless, Stephen. "Principles for the Safe Moving and Handling of Patients." Pielegniarstwo XXI wieku / Nursing in the 21st Century 15, no. 4 (December 1, 2016): 66–69. http://dx.doi.org/10.1515/pielxxiw-2016-0040.

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Abstract Human movement when walking or running is a widely researched area. However, there is an increased incidence of musculoskeletal injury from poor positioning when moving and handling patients amongst healthcare professionals and is one of the main causes of long term musculoskeletal health problems. In the clinical area, an individual’s musculoskeletal health system is subjected to mechanical loading, increasing the body’s stress and strain limits, and once these are exceeded injury occurs. The risk of pain and injury has a direct relation from the over use of poor posture from poor moving and handling, which in turn can cause loss of strength and reduce musculoskeletal function. This can be changed through healthcare workers adopting safe biomechanical body movements during patient handling tasks.

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13

Piot, Olivier. "Safe sedation in cardiology: guidance in a moving field." Heart 101, no. 19 (July 15, 2015): 1525. http://dx.doi.org/10.1136/heartjnl-2015-308210.

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14

van den Berg, Jur, and Mark Overmars. "Planning Time-Minimal Safe Paths Amidst Unpredictably Moving Obstacles." International Journal of Robotics Research 27, no. 11-12 (November 2008): 1274–94. http://dx.doi.org/10.1177/0278364908097581.

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15

Cho, Hyung-Ju, Se Jin Kwon, and Tae-Sun Chung. "A Safe Exit Algorithm for Continuous Nearest Neighbor Monitoring in Road Networks." Mobile Information Systems 9, no. 1 (2013): 37–53. http://dx.doi.org/10.1155/2013/426294.

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Query processing in road networks has been studied extensively in recent years. However, the processing of moving queries in road networks has received little attention. In this paper, we introduce a new algorithm called the Safe Exit Algorithm (SEA), which can efficiently compute the safe exit points of a moving nearest neighbor (NN) query on road networks. The safe region of a query is an area where the query result remains unchanged, provided that the query remains inside the safe region At each safe exit point, the safe region of a query and its non-safe region meet so that a set of safe exit points represents the border of the safe region. Before reaching a safe exit point, the client (query object) does not have to request the server to re-evaluate the query This significantly reduces the server processing costs and the communication costs between the server and moving clients. Extensive experimental results show that SEA outperforms a conventional algorithm by up to two orders of magnitude in terms of communication costs and computation costs.

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16

Panday, Brijesh, Vinod Kumar Yadav, and Shreya Paul. "Continuously Moving Objects Framework to Monitor Result Changes of Spatio Temporal Queries using Data Stream Management System." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 7, no. 3 (June 10, 2013): 677–82. http://dx.doi.org/10.24297/ijct.v7i3.3447.

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In this paper the concept of safe limit in the framework for continuously moving objects to monitor result changes of spatio temporal queries has been proposed. In this framework the movement of the moving object is monitored with the help of user defined aggregate function over spatio temporal reference in data stream management system. The expected movement of the moving object is plotted on the graph and the spatio temporal queries are answered on the basis of that, until and unless the difference between the expected movement and actual movement is more than the safe limit. This makes the framework more efficient than the previously given framework. The safe limit can be any range with respect to space and time of a moving object which varies according to different parameters such as size of the object, velocity with which it is moving and etc.

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17

Panday, Brijesh, Vinod Kumar Yadav, and Shreya Paul. "Continuously Moving Objects Framework to Monitor Result Changes of Spatio Temporal Queries using Data Stream Management System." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 8, no. 2 (June 20, 2013): 796–801. http://dx.doi.org/10.24297/ijct.v8i2.3387.

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In this paper the concept of safe limit in the framework for continuously moving objects to monitor result changes of spatio temporal queries has been proposed. In this framework the movement of the moving object is monitored with the help of user defined aggregate function over spatio temporal reference in data stream management system. The expected movement of the moving object is plotted on the graph and the spatio temporal queries are answered on the basis of that, until and unless the difference between the expected movement and actual movement is more than the safe limit. This makes the framework more efficient than the previously given framework. The safe limit can be any range with respect to space and time of a moving object which varies according to different parameters such as size of the object, velocity with which it is moving and etc.

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18

Moriwaki, Katsumi. "Recognition of Moving Objects and Safe zone by Image Processing." IFAC Proceedings Volumes 43, no. 18 (2010): 695–700. http://dx.doi.org/10.3182/20100913-3-us-2015.00070.

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19

Khalidi, Haidar Al, David Taniar, John Betts, and Sultan Alamri. "Dynamic safe regions for moving range queries in mobile navigation." International Journal of Ad Hoc and Ubiquitous Computing 16, no. 4 (2014): 250. http://dx.doi.org/10.1504/ijahuc.2014.064860.

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20

Krinsley, James S., and Jean-Charles Preiser. "Moving beyond tight glucose control to safe effective glucose control." Critical Care 12, no. 3 (2008): 149. http://dx.doi.org/10.1186/cc6889.

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21

Falan, Sharie, and Bernard Han. "Moving towards efficient, safe, and meaningful healthcare: issues for automation." International Journal of Electronic Healthcare 6, no. 1 (2011): 76. http://dx.doi.org/10.1504/ijeh.2011.039060.

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22

Berglund, Jenny. "Moving from Safe to Brave in Multi-Faith Religious Education." Religion & Education 47, no. 2 (March 31, 2020): 140–43. http://dx.doi.org/10.1080/15507394.2020.1745365.

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23

Muff, Katrin, Agnieszka Kapalka, and Thomas Dyllick. "Moving the world into a safe space–the GAPFRAME methodology." International Journal of Management Education 16, no. 3 (November 2018): 349–69. http://dx.doi.org/10.1016/j.ijme.2018.05.001.

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24

Bykova, V. S., A. I. Mashoshin, and I. V. Pashkevich. "Safe Navigation Algorithm for Autonomous Underwater Vehicles." Giroskopiya i Navigatsiya 29, no. 1 (2021): 97–110. http://dx.doi.org/10.17285/0869-7035.0058.

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Two safe navigation algorithms for autonomous underwater vehicles are described: algorithm for avoidance of point obstacles including all the moving underwater and surface objects, and limited size bottom objects, and algorithm for bypassing extended obstacles such as bottom elevations, rough lower ice edge, garbage patches. These algorithms are developed for a control system of a heavyweight autonomous underwater vehicle.

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25

Sindwani, Raj. "Staying Safe, Caring for Each Other, and Moving the Needle—Together." American Journal of Rhinology & Allergy 34, no. 4 (June 1, 2020): 449–50. http://dx.doi.org/10.1177/1945892420928162.

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26

Yung, Duncan, Man Lung Yiu, and Eric Lo. "A safe-exit approach for efficient network-based moving range queries." Data & Knowledge Engineering 72 (February 2012): 126–47. http://dx.doi.org/10.1016/j.datak.2011.10.001.

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27

Maclean, Gaynor D. "Learning from the past, looking to the future." African Journal of Midwifery and Women's Health 13, no. 3 (July 2, 2019): 1–6. http://dx.doi.org/10.12968/ajmw.2018.0026.

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This article offers an insight into past achievements in moving towards safe motherhood. Considering data from across the globe and in particular achievements in Africa, lessons that have been learned are shared and present a fitting focus for the years ahead. Co-operation, competence, compassion and commitment are the ‘four Cs’ of 21st century midwifery, and offer direction, inspiration and purpose. Promoting safer childbirth for women everywhere, especially the most vulnerable, is a shared goal in midwifery, and moving forward together with optimal skills and attitudes will enable midwives to make a real difference where it matters most.

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28

Liu, Hong, and Chuang Qi Wang. "Collision Probability based Safe Path Planning for Mobile Robots in Changing Environments." Applied Mechanics and Materials 197 (September 2012): 401–8. http://dx.doi.org/10.4028/www.scientific.net/amm.197.401.

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Automatic path planning has many applications in robotics, computer-aided design(CAD) and industrial manipulation. The property of safety is vital but seldom taken into consideration by typical path planning. In this paper, collision probability is introduced as an evaluation of crowd degree of environments to get a safer path. The smaller collision probability a node has, the more possibly the node can be extended. Meanwhile, the in/out degree of a node is limited to prevent some nodes to be extended excessively. Through evaluating collision probability on-line, a safe path planning based on DRRTs, called Safe-DRRT, is proposed to provide a path not only feasible but also safe. Finally, a path planner is implemented with Safe-DRRT as a guidance and a local planner. In plentifully crowded experiments with moving obstacles, the proposed method has demonstrated to be competent compared to the state of the art.

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29

Gopinath, Varun, Kerstin Johansen, Micael Derelöv, Åke Gustafsson, and Stefan Axelsson. "Safe Collaborative Assembly on a Continuously Moving Line with Large Industrial Robots." Robotics and Computer-Integrated Manufacturing 67 (February 2021): 102048. http://dx.doi.org/10.1016/j.rcim.2020.102048.

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30

Li, Jing, Jeppe Rishede Thomsen, Man Lung Yiu, and Nikos Mamoulis. "Efficient Notification of Meeting Points for Moving Groups via Independent Safe Regions." IEEE Transactions on Knowledge and Data Engineering 27, no. 7 (July 1, 2015): 1767–81. http://dx.doi.org/10.1109/tkde.2014.2334304.

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31

Wang, Zhiyong, and Sisi Zlatanova. "Safe Route Determination for First Responders in the Presence of Moving Obstacles." IEEE Transactions on Intelligent Transportation Systems 21, no. 3 (March 2020): 1044–53. http://dx.doi.org/10.1109/tits.2019.2900858.

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32

Li, Chuanwen, Yu Gu, Jianzhong Qi, Rui Zhang, and Ge Yu. "A safe region based approach to moving KNN queries in obstructed space." Knowledge and Information Systems 45, no. 2 (November 12, 2014): 417–51. http://dx.doi.org/10.1007/s10115-014-0803-6.

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33

Jaynes, Carla, Trent Lethco, Yennga Khuong, and Vincent Riscica. "Looking Back and Moving Forward." Transportation Research Record: Journal of the Transportation Research Board 2271, no. 1 (January 2012): 1–8. http://dx.doi.org/10.3141/2271-01.

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Over the past 20 years, federal transportation policy and funding initiatives—such as the Intermodal Surface Transportation Efficiency Act of 1991; the Transportation Equity Act for the 21st Century; Safe, Accountable, Flexible, Efficient Transportation Equity Act: A Legacy for Users; Transportation Investment Generating Economic Recovery Grants; and the Partnership for Sustainable Communities—have opened doors to establishing sustainable transportation policy in the United States. However, these initiatives have not always resulted in transformative change. A clear path to actionable, sustainable transportation policy requires a change within the local and regional agencies tasked with establishing and implementing the policy. This paper documents the incremental changes in departments of transportation and planning in seven American cities (Charlotte, North Carolina; Chicago, Illinois; Houston, Texas; Los Angeles, California; New York; Portland, Oregon; and Washington, D.C.) that have enabled a shift toward sustainable transportation policy. Interviews with key transportation leaders in each city revealed the methods used to implement more sustainable transport. These methods serve as a blueprint for other leaders who wish to create similar changes in their own cities.

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34

Güzel, Mehmet Serdar, Mehmet Kara, and Mehmet Sıtkı Beyazkılıç. "An adaptive framework for mobile robot navigation." Adaptive Behavior 25, no. 1 (January 23, 2017): 30–39. http://dx.doi.org/10.1177/1059712316685875.

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Collective behaviours observed in nature bring new methodologies in proposing control algorithms for robot groups to perform a variety of complex tasks. In this article, an adaptive algorithm, allowing the safe navigation of a group of robots in a collective manner, is proposed. The algorithm, inspired from the adaptive particle swarm optimization technique, proposes an efficient control approach to overcome both static and moving obstacles. Accordingly, compared to the conventional particle swarm optimization algorithm, the proposed system allows a robot or group of robots (swarm) to complete the goal while avoiding static and moving obstacles as well as dynamic targets in a safe and collective manner. The simulation results verify the overall performance and reliability of the proposed system.

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35

Harrison, Edward B., Alexander K. Lautensach, and Verna L. McDonald. "Moving From the Margins: Culturally safe teacher education in remote northwestern British Columbia." Articles 47, no. 3 (March 18, 2013): 323–43. http://dx.doi.org/10.7202/1014862ar.

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In 2007 the University of Northern British Columbia initiated a two-year elementary teacher education program at the Northwest Campus in Terrace, British Columbia. The program was designed to meet specific community needs in the North that arise from inequities in the cultural safety of Indigenous teachers and students. The authors share three collegial inquiries into the program’s contribution toward improving cultural safety in K-12 schools and meeting social justice challenges in the region’s communities. Culturally safe allocation of space became better understood, affective learning outcomes were recognized as important determinants of cultural safety, and teacher action in classrooms towards cultural safety was scaffolded for various settings.

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36

Kim, Youhwa, Kwangbin Oh, Namyeong Kim, and Jiwon Yun. "Development of a Safe Syringe Disposal System Moving towards Automated Syringe Data Collection." Healthcare Informatics Research 25, no. 1 (2019): 47. http://dx.doi.org/10.4258/hir.2019.25.1.47.

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37

Wang, Chao, Andrey V. Savkin, and Matthew Garratt. "A strategy for safe 3D navigation of non-holonomic robots among moving obstacles." Robotica 36, no. 2 (November 10, 2017): 275–97. http://dx.doi.org/10.1017/s026357471700039x.

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SUMMARYA non-holonomic robot with a bounded control input travels in a dynamic unknown 3D environment with moving obstacles. We propose a 3D navigation strategy to reach a given final destination point while avoiding collisions with obstacles. A formal analysis of the proposed 3D robot navigation algorithm is given. Computer simulation results and experiments with a real flying autonomous vehicle confirm the applicability and performance of the proposed guidance approach.

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38

Allheeib, Nasser, David Taniar, Haidar Al-Khalidi, Md Saiful Islam, and Kiki Maulana Adhinugraha. "Safe Regions for Moving Reverse Neighbourhood Queries in a Peer-to-Peer Environment." IEEE Access 8 (2020): 50285–98. http://dx.doi.org/10.1109/access.2020.2979432.

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39

Turi, Zoltan G. "Moving beyond Seldinger, a vascular access and closure smorgasbord, “safe zone” or not." Catheterization and Cardiovascular Interventions 91, no. 1 (January 1, 2018): 33–34. http://dx.doi.org/10.1002/ccd.27455.

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40

Coulson, G. "A Safe and Selective Draw-String Trap to Capture Kangaroos Moving Under Fences." Wildlife Research 23, no. 5 (1996): 621. http://dx.doi.org/10.1071/wr9960621.

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Macropods have been captured by a variety of techniques: hand nets, trap yards, baited traps, cannon nets, drugged baits, syringe darts and stunning. These techniques differ in selectivity, in the likelihood of physical trauma or capture myopathy, and in the number of personnel required. Each technique is also limited to particular habitats or environmental conditions. A new draw-string trap was developed to capture kangaroos moving under fences, using a tunnel of soft netting attached to a steel weldmesh floor and suspended from a weldmesh frame. Draw-string closures at each end of the netting allowed selective and safe capture of kangaroos by two operators.

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41

Fox, N. "Moving Away from the Neutropenic Diet and Towards a Safe Food Handling Approach." Journal of the Academy of Nutrition and Dietetics 112, no. 9 (September 2012): A33. http://dx.doi.org/10.1016/j.jand.2012.06.119.

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42

Tesař, Václav. "Safe pumping of hazardous liquids—A survey of no-moving-part pump principles." Chemical Engineering Journal 168, no. 1 (March 2011): 23–34. http://dx.doi.org/10.1016/j.cej.2011.01.046.

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43

Jayarathne, Nirman, Dev Ranmuthugala, and Zhi Leong. "Safe Tug Operations during Ship-Assist Manoeuvres." Journal of Navigation 72, no. 3 (February 7, 2019): 813–31. http://dx.doi.org/10.1017/s0373463318001121.

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The hydrodynamic interaction effects on a tug operating in close proximity to a larger vessel can result in dangerous situations for the tug. To date most studies have focussed on the interaction effects between the vessels when they are operating in parallel, which represent only one of many practical ship-assist manoeuvres. It is therefore necessary to investigate a wide range of tug-ship combinations to obtain a detailed understanding of these effects. This paper discusses the hydrodynamic interaction effects on a tug operating at various relative positions and drift angles to a larger ship, both moving together at the same forward speed. The hydrodynamic effects were determined using Computational Fluid Dynamics (CFD) simulations that were validated using captive model test data. The range of manoeuvres discussed in this paper provides a comprehensive overview of the hydrodynamic interaction effects on a tug enabling tug operators to identify safe operating envelopes for their vessels.

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44

Karwowski, W., H. Parsaei, A. Soundararajan, and N. Pongpatanasuegsa. "Estimation of Safe Distance from the Robot Arm as a Guide for Limiting Slow Speed of Robot Motions." Proceedings of the Human Factors Society Annual Meeting 36, no. 13 (October 1992): 992–96. http://dx.doi.org/10.1177/154193129203601315.

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The main objective of this laboratory study was to determine the minimum distance from the robot considered as safe for monitoring purposes, and the corresponding perception of danger for close interaction in robot teaching tasks. Five speed levels of robot motions, i.e.: 10, 20, 30, 40 and 50 cm/sec, were used. The three motion types of the robot arm were forward, swing (from right) and swing (from left), he response variables were the minimum distance from the robot that the subject selected as safe for monitoring purposes, and the perception of danger due to robot speed at the selected safe distances. The subjects selected significantly different values of safe distances from the robot arm moving at the speed of 10 cm/s, than they did for the range of robot speeds from 20 to 40 cm/s. The corresponding perception of danger due to the robot motions at the selected safe distances was the lowest for the speed of 10 cm/s, while the values of perceived danger for the speed range of 20-40 cm/s did not significantly differ between each other. The above results indicate that the range of slow speeds of robot motions from 20 to 40 cm/s is similarly perceived by the subjects with respect to the potential hazards from the moving robot arm. It was suggested that the safe slow speed of robot motions for teaching and programming purposes lies somewhere between 10 and 20 cm/s, and that current recommendation of 25.0 cm/s for safe reduced speed of robot motions should be redefined.

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45

Janani Sri S., Parthajit Kayal, and G. Balasubramanian. "Can Equity be Safe-haven for Investment?" Journal of Emerging Market Finance 21, no. 1 (January 23, 2022): 32–63. http://dx.doi.org/10.1177/09726527211068411.

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Popular investment choices such as fixed income, gold, and real estate have generated low returns over long horizons. Equity seems to have performed much better despite its inherent risk. Although, investors prefer safe-haven assets, they are increasingly moving to equities in search for better returns. We consider whether equity could be a safe-haven investment if chosen from quality stocks’ basket. We examine the safe-haven and hedging properties of the Nifty-50 constituent stocks over the period 2008–2020. To address this, we employ copula-based framework to model the dependence structure between stocks and five indices. We distinguish between safe-haven attributes and hedging features of the individual stocks. We show that the safe-haven properties of the Nifty-50 listed stocks are not as concentrated as gold but they show much low co-movement with the market. We call them pseudo–safe-haven as they are the safe-bets for investors seeking relatively safe-haven assets with impressive returns. JEL Codes: G11, G12, G15

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46

Fogliata, Stefano. "“Safe but Frozen Camps”: Syrian and Palestinian Refugees around a Football Field in Beirut." Review of Middle East Studies 54, no. 2 (December 2020): 234–51. http://dx.doi.org/10.1017/rms.2021.26.

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AbstractPalestinian camps in Lebanon have turned once more into “transitional zones of emplacement” for thousands of people recently fleeing the Syrian conflict. In this context, the plural subjectivities emerging within the camps highlight a further connection between spatial marginalization and precarious legal statuses. My research hinges on the interconnectivities evolving around the Palestinian Bourj el Barajneh camp and Hezbollah-controlled Beirut southern suburbs moving from an ethnographic insight of the Palestinian football society. Inside the “Refugee Football Leagues,” Palestinians, Syrians and Lebanese players find a space in leagues whose matches are mostly disputed within the numerous refugee camps scattered throughout the national territory. Moving from newcomers’ strategies for protection, the essay investigates how refugees living in camps experience different scales of mobility and develop a wide range of practices that extend beyond the camp's boundaries, exploring how imperceptible and hyper-mobile tactics of existence re-elaborate Palestinian refugee camps into meaningful places of elusive contestation.

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Lisowski, Józef. "The Optimal and Safe Ship Trajectories for Different Forms of Neural State Constraints." Solid State Phenomena 180 (November 2011): 64–69. http://dx.doi.org/10.4028/www.scientific.net/ssp.180.64.

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The paper introduced the dynamic programming algorithm of own ship optimal and safe trajectory in situation a many of encountered objects. The moving domains of met objects are introduced as neural state constraints in the form of circle, parable, ellipse and hexagon. Finally the computer simulation of multistage own ship control in real navigational situations at sea is presented.

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48

Wang, Shengsheng, and Chen Zhang. "A Dynamic Interval Based Circular Safe Region Algorithm for Continuous Queries on Moving Objects." International Journal of Communications, Network and System Sciences 04, no. 05 (2011): 313–22. http://dx.doi.org/10.4236/ijcns.2011.45036.

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49

Maganda, Carmen. "Water Security Debates in ‘Safe’ Water Security Frameworks: Moving Beyond the Limits of Scarcity." Globalizations 13, no. 6 (February 16, 2016): 683–701. http://dx.doi.org/10.1080/14747731.2015.1133605.

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50

Mujahed, Muhannad, and Hussein Jaddu. "Smooth and Safe Nearness-Diagram (SSND) Navigation for Autonomous Mobile Robots." Advanced Materials Research 403-408 (November 2011): 4718–26. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.4718.

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This paper addresses further enhancements of the earlier developed Smooth Nearness-Diagram Navigation (SND) method for mobile robots moving in complex and cluttered environments. The enhanced method, entitled SSND, improves the safety of paths generated by the SND and solves the problem of trapping the robot in narrow corridors, where the difference in the number of threats on its sides is high. This is achieved by adjusting the difference in the number of obstacles on the two sides of the robot heading direction. The power of our method is demonstrated by simulation results.

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