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1

Dylewski, Joe. "Moving Goal Posts." Infectious Diseases in Clinical Practice 28, no. 4 (July 2020): 250. http://dx.doi.org/10.1097/ipc.0000000000000861.

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Richards, Wayne. "Moving goal posts." British Dental Journal 206, no. 5 (March 2009): 237. http://dx.doi.org/10.1038/sj.bdj.2009.184.

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Faux, Karen. "Moving the goal posts." Practical Pre-School 2017, no. 202 (November 2, 2017): 3. http://dx.doi.org/10.12968/prps.2017.202.3.

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4

Cowley, Sue. "Moving the goal posts." Early Years Educator 21, no. 5 (September 2, 2019): 14–16. http://dx.doi.org/10.12968/eyed.2019.21.5.14.

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Rotchford, Alan P., and Anthony J. King. "Moving the Goal Posts." Ophthalmology 117, no. 1 (January 2010): 18–23. http://dx.doi.org/10.1016/j.ophtha.2009.06.014.

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6

Ilmaier, E., and J. F. Sibley. "The moving goal-posts." World Patent Information 15, no. 1 (March 1993): 5–11. http://dx.doi.org/10.1016/0172-2190(93)90059-6.

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7

Hurtley, S. M. "BIOMEDICINE: Moving the Goal Posts." Science 294, no. 5540 (October 5, 2001): 17a—17. http://dx.doi.org/10.1126/science.294.5540.17a.

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8

Johnson, Wendy. "Planet Rachael - Moving the goal posts." Learning Disability Practice 18, no. 2 (March 2, 2015): 12. http://dx.doi.org/10.7748/ldp.18.2.12.s9.

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O’Callaghan, Joanne, and Julie Graham. "Antenatal education—moving the goal posts!" Women and Birth 24 (October 2011): S42—S43. http://dx.doi.org/10.1016/j.wombi.2011.07.136.

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10

Jeanne Horst, S., Sara J. Finney, and Kenneth E. Barron. "Moving beyond academic achievement goal measures: A study of social achievement goals." Contemporary Educational Psychology 32, no. 4 (October 2007): 667–98. http://dx.doi.org/10.1016/j.cedpsych.2006.10.011.

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Kung, Franki Y. H., and Abigail A. Scholer. "Moving Beyond Two Goals: An Integrative Review and Framework for the Study of Multiple Goals." Personality and Social Psychology Review 25, no. 2 (February 4, 2021): 130–58. http://dx.doi.org/10.1177/1088868320985810.

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Historically, the study of multiple goals has focused on the dynamics between two goals as the prototypical example of multiple goals. This focus on dyadic relations means that many issues central to the psychology of more than two goals are still unexplored. We argue that a deeper understanding of multiple-goal issues involves moving beyond two goals. Doing so not only reveals new insights about goal relations (e.g., how one dyadic relation affects another) but also introduces goal structure (how goals and goal relations are positioned relative to each other) as a variable in its own right worthy of study. In our review, we discuss current knowledge gaps, review methodologies both in terms of existing techniques and novel techniques we propose, and highlight new directions from moving beyond two goals—what new questions emerge and what dynamics, including intersectional issues (e.g., between goal properties and goal structure), become possible to explore.
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Baldaccini, Natale Emilio. "Moving towards a far-away goal: a foreword." Ethology Ecology & Evolution 33, no. 3 (May 4, 2021): 201–5. http://dx.doi.org/10.1080/03949370.2021.1908493.

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Kirk, Jonathan A., and Rudolf A. de Boer. "Moving galectin-3 closer to the goal line." American Journal of Physiology-Heart and Circulatory Physiology 316, no. 3 (March 1, 2019): H580—H582. http://dx.doi.org/10.1152/ajpheart.00761.2018.

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14

Madan, Ravi A., and James L. Gulley. "Moving the goal posts in prostate cancer trials." Lancet Oncology 16, no. 3 (March 2015): 247–49. http://dx.doi.org/10.1016/s1470-2045(15)70071-9.

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15

Drake, Daniel, Scott Koziol, and Eugene Chabot. "Mobile Robot Path Planning With a Moving Goal." IEEE Access 6 (2018): 12800–12814. http://dx.doi.org/10.1109/access.2018.2797070.

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16

Thompson, Elizabeth H., Julia T. Woodward, and Annette L. Stanton. "Moving forward during major goal blockage: situational goal adjustment in women facing infertility." Journal of Behavioral Medicine 34, no. 4 (January 8, 2011): 275–87. http://dx.doi.org/10.1007/s10865-010-9309-1.

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17

Gardel, Margaret L. "Moving beyond molecular mechanisms." Journal of Cell Biology 208, no. 2 (January 19, 2015): 143–45. http://dx.doi.org/10.1083/jcb.201412143.

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A major goal in cell biology is to bridge the gap in our understanding of how molecular mechanisms contribute to cell and organismal physiology. Approaches well established in the physical sciences could be instrumental in achieving this goal. A better integration of the physical sciences with cell biology will therefore be an important step in our quest to decipher how cells work together to construct a living organism.
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18

Nagykaldi, Zsolt J., Huibert Tange, and Jan De Maeseneer. "Moving From Problem-Oriented to Goal-Directed Health Records." Annals of Family Medicine 16, no. 2 (March 2018): 155–59. http://dx.doi.org/10.1370/afm.2180.

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Gerardi, Tina, Pat Farmer, and Bryan Hoffman. "Moving Closer to the 2020 BSN-Prepared Workforce Goal." AJN, American Journal of Nursing 118, no. 2 (February 2018): 43–45. http://dx.doi.org/10.1097/01.naj.0000530244.15217.aa.

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20

Belkhouche, F., B. Belkhouche, and P. Rastgoufard. "Line of sight robot navigation toward a moving goal." IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 36, no. 2 (April 2006): 255–67. http://dx.doi.org/10.1109/tsmcb.2005.856142.

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21

Egger, Matthias, George Davey Smith, and Jonathan AC Sterne. "Meta-analysis: is moving the goal post the answer?" Lancet 351, no. 9114 (May 1998): 1517. http://dx.doi.org/10.1016/s0140-6736(05)78914-5.

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22

Tahrani, Abd A., Srikanth Bellary, and Anthony H. Barnett. "Once-weekly GLP-1R agonists: moving the goal posts." Lancet Diabetes & Endocrinology 6, no. 4 (April 2018): 260–61. http://dx.doi.org/10.1016/s2213-8587(18)30049-4.

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23

McNair-Connolly, C. J., Ted Watts, and Lidija Polutnik. "Moving targets: The dynamics of goal setting and performance." Journal of Corporate Accounting & Finance 20, no. 3 (March 2009): 25–33. http://dx.doi.org/10.1002/jcaf.20481.

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24

Ntoumanis, Nikos, and Constantine Sedikides. "Holding on to the Goal or Letting It Go and Moving On? A Tripartite Model of Goal Striving." Current Directions in Psychological Science 27, no. 5 (September 10, 2018): 363–68. http://dx.doi.org/10.1177/0963721418770455.

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Recent findings challenge the widely held motto of “never give up” in goal striving. There are situations in which it is of strategic interest to abandon an important goal and allocate resources to an alternative goal. The ability to realize whether a goal is attainable or not (and therefore the ability to make the “right choice” between goal persistence and goal disengagement or reengagement) is influenced by at least two key motivational factors: motivation for goal striving and a self-regulatory technique called mental contrasting with implementation intentions. The interplay between these two factors is as yet unexplored but holds promise for several conceptual and practical advancements in understanding the pursuit of challenging life goals. To this end, we propose a tripartite model of goal striving that integrates goal motivation and goal regulation.
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Chung, Hyewon. "Asian Robotic Gynecology Congress 2019, moving closer to the goal." Gynecologic Robotic Surgery 1, no. 2 (September 25, 2020): 33–35. http://dx.doi.org/10.36637/grs.2020.00009.

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26

Aenugu, Vanitha, and Peng-Yung Woo. "Mobile Robot Path Planning with Randomly Moving Obstacles and Goal." International Journal of Intelligent Systems and Applications 4, no. 2 (March 9, 2012): 1–15. http://dx.doi.org/10.5815/ijisa.2012.02.01.

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27

Ravindra,, Saranya, and Alexander Miras. "Moving goal posts: Definition of diabetes remission after bariatric surgery." Journal of Obesity and Metabolic Research 2, no. 1 (2015): 16. http://dx.doi.org/10.4103/2347-9906.148605.

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28

Vogel, Joshua P., Cynthia Pileggi-Castro, Venkatraman Chandra-Mouli, Vicky Nogueira Pileggi, João Paulo Souza, Doris Chou, and Lale Say. "Millennium Development Goal 5 and adolescents: looking back, moving forward." Archives of Disease in Childhood 100, Suppl 1 (January 22, 2015): S43—S47. http://dx.doi.org/10.1136/archdischild-2013-305514.

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Since the Millennium Declaration in 2000, unprecedented progress has been made in the reduction of global maternal mortality. Millennium Development Goal 5 (MDG 5; improving maternal health) includes two primary targets, 5A and 5B. Target 5A aimed for a 75% reduction in the global maternal mortality ratio (MMR), and 5B aimed to achieve universal access to reproductive health. Globally, maternal mortality since 1990 has nearly halved and access to reproductive health services in developing countries has substantially improved. In setting goals and targets for the post-MDG era, the global maternal health community has recognised that ultimate goal of ending preventable maternal mortality is now within reach. The new target of a global MMR of <70 deaths per 100 000 live births by 2030 is ambitious, yet achievable and to reach this target a significantly increased effort to promote and ensure universal, equitable access to reproductive, maternal and newborn services for all women and adolescents will be required. In this article, as we reflect on patterns, trends and determinants of maternal mortality, morbidity and other key MDG5 indicators among adolescents, we aim to highlight the importance of promoting and protecting the sexual and reproductive health and rights of adolescents as part of renewed global efforts to end preventable maternal mortality.
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29

Hoogvelt, Ankie, David Phillips, and Lucy Walker. "Moving the goal posts: the political economy of international statistics." Review of African Political Economy 21, no. 62 (December 1994): 627–34. http://dx.doi.org/10.1080/03056249408704092.

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30

Borghese, N. A., M. Di Rienzo, G. Ferrigno, and A. Pedotti. "ELITE: A goal oriented vision system for moving objects detection." Robotica 9, no. 3 (July 1991): 275–82. http://dx.doi.org/10.1017/s0263574700006433.

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SUMMARYA specially designed system for movement monitoring is here presented. The system has a two level architecture. At the first level, a hardware processor analyses in real-time the images provided by a set of standard TV cameras and, using a technique based on the convolution operator, recognizes in each frame objects that have a specific shape. The coordinates of these objects are fed to a computer, the second level of the system, that analyses the movement of these objects with the aid of a set of rules representing the knowledge of the context. The system was extensively tested on the field and the main results are reported.The whole system can work as a controlling device in robotics or as a general real-time image processor as well as an automatic movement analyser in biomechanics, orthopedic and neurological medicine.
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31

Berkeley, Istvan S. N. "Moving the goal posts: a reply to Dawson and Piercey." Minds and Machines 16, no. 4 (December 14, 2006): 471–78. http://dx.doi.org/10.1007/s11023-006-9048-9.

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32

Hosseini, Seyed Ehsan. "Micro-power generation using micro-turbine (moving) and thermophotovoltaic (non-moving) systems." Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy 233, no. 8 (April 8, 2019): 1085–101. http://dx.doi.org/10.1177/0957650919841958.

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Combustion-based micro-power generation is a serious candidate for substitution of traditional batteries. As the volume of combustion system decreases to small-scale combustors, ignition and combustion stability are becoming considerable challenges due to short residence time and large heat loss. To overcome these shortages, several experimental investigations have been implemented to generate micro-power using both moving (micro-turbines) and non-moving (thermophotovoltaic) systems. Although the goal of both systems is to generate micro-power via combustion phenomenon, the approaches to the goal is different. Nevertheless, combustion instability and various shortages in burner and combustor have been noticed by several researchers regardless of the micro-power generation method. In this paper, a review about recent development in application of small-scale combustion in micro-power generation and micro-thruster systems using micro-turbine and thermophotovoltaic systems is presented. The special focus of this paper is on flame regimes, fuel/oxidizer mixing, flame stability conditions, heat recirculation, non-equilibrium transport, flame-wall thermal and kinetic couplings, and improvement of energy conversion efficiency.
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Sharma, Pankaj, Anupam Saxena, and Ashish Dutta. "Optimal arrest and guidance of a moving prismatic object using multiagents." Robotica 26, no. 1 (January 2008): 41–53. http://dx.doi.org/10.1017/s0263574707003566.

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SUMMARYGenetic algorithm is used to determine the optimal capture points for the multi agents required to grasp a moving generic prismatic object by arresting it in form closure. Thereafter, the agents approach their respective moving goals using a decentralized projective path planning algorithm. Post arrest, the object is guided along a desired linear path to a desired goal point. Form closure of the object is obtained using the concept of accessibility angle. A convex envelop is formed around the object, and the goal points on the object boundary are mapped onto the envelope. The robots approach the mapped goal points first, and then, converge on the actual object. This ensures that the agents reach the actual goal points almost simultaneously, and do not undergo looping at a local concave region. The object is assumed alive while being captured but is assumed compromised thereafter. Post arrest, robots alter their positions optimally around the object to transport it along a desired direction. Frictionless point contact between the object and a robot is assumed. The shape of the mobile robot is considered cylindrical such that it can only apply force along the outward radial direction. Simulation results are presented that illustrate the effectiveness of the proposed method.
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Huang, Julie Y., and John A. Bargh. "Multitudes of perspectives: Integrating the Selfish Goal model with views on scientific metaphors, goal systems, and society." Behavioral and Brain Sciences 37, no. 2 (April 2014): 159–75. http://dx.doi.org/10.1017/s0140525x1300352x.

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AbstractIn our response, we address commentators' feedback regarding the contributions and limitations of the Selfish Goal model. We first clarify potential misunderstandings regarding the model's contributions and the role of consciousness. Second, we situate evaluations of the selfish metaphor within the similarities and differences inherent to the goal-gene comparison. We then respond to commentators' insights regarding future directions and implications of our model, particularly with respect to the broader organizational systems in which goals may operate. Finally, we reiterate important considerations for goal research moving forward.
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Montiel, Isabel, Asunción M. Mayoral, Jose Navarro Pedreño, and Silvia Maiques. "Acoustic Comfort in Learning Spaces: Moving Towards Sustainable Development Goals." Sustainability 11, no. 13 (June 28, 2019): 3573. http://dx.doi.org/10.3390/su11133573.

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The association between learning spaces and new pedagogical approaches is a current issue. Research shows that the classical, more silent, master class is being bypassed by student centered methods with participative classes and active methodologies. Major efforts in teacher training are taken to help teachers implement these new approaches in their lessons. The conditions of the learning space are also influential. The following question is raised: Can acoustic comfort facilitate innovation and consequently help in the progress towards SDG? We have focused on public high schools in Spain (IES), in the Valencian Community. Data has been gathered from the visit to thirty high schools. International scientific studies and valid guidelines referring to noise have been reviewed. Findings on the research conclude that acoustic comfort is essential in education and is directly related with the implementation of emerging pedagogies. Likewise, the outcomes of the investigation hope to raise awareness among authorities and civil society that improvement of sound quality in learning spaces facilitates the achievement of sustainable development goals (SDG), particularly those concerning goal 3 (health and wellbeing), goal 4 (quality education) and goal 9 (sustainable infrastructures).
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Harwood, Chris, and Lew Hardy. "Persistence and Effort in Moving Achievement Goal Research Forward: A Response to Treasure and Colleagues." Journal of Sport and Exercise Psychology 23, no. 4 (December 2001): 330–45. http://dx.doi.org/10.1123/jsep.23.4.330.

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In their response to our recent paper (Harwood, Hardy, & Swain, 2000), Treasure et al. (2001) claimed to have clarified our misconceptions and misrepresentations of achievement goal research. After first of all commenting on the apparently rather emotive nature of their response, we logically deal with each of their criticisms. Specifically, we present sound theoretical arguments to show that: (a) personal theories of achievement hold primacy over achievement goals; (b) we are not “particularly confused” (or even a little confused) in our understanding of conceptions of ability; (c) there are excellent reasons for examining the possibility of a tripartite approach to goal orientation and goal involvement; and (d) the issue of measurement in achievement goal research needs to be carefully reconsidered. Further, in response to the status quo offered by Treasure and colleagues, we call for more innovative research that will help progress the impact of achievement goal theory in competitive sport.
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Garodia, Nishant, Vishal Gupta, William Canovatchel, BN Lokesh, and Ravi Santani. "Sodium-glucose cotransporter-2 inhibitors: Moving beyond the glycemic treatment goal." Indian Journal of Endocrinology and Metabolism 21, no. 6 (2017): 909. http://dx.doi.org/10.4103/ijem.ijem_85_17.

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Belkhouche, F., B. Belkhouche, and P. Rastgoufard. "Parallel navigation for reaching a moving goal by a mobile robot." Robotica 25, no. 1 (September 6, 2006): 63–74. http://dx.doi.org/10.1017/s0263574706002992.

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In this paper, we present a method for robot navigation toward a moving object with unknown maneuvers. Our strategy is based on the integration of the robot and the target kinematics equations with geometric rules. The tracking problem is modeled in polar coordinates using a two-dimensional system of differential equations. The control law is then derived based on this model. Our approach consists of a rendezvous course, which means that the robot reaches the moving goal without following its path. In the presence of obstacles, two navigation modes are integrated, namely the tracking and the obstacle-avoidance modes. To confirm our theoretical results, the navigation strategy is illustrated using an extensive simulation for different scenarios.
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Smeets, Jeroen B. J., and Eli Brenner. "Prediction of a moving target's position in fast goal-directed action." Biological Cybernetics 73, no. 6 (November 1995): 519–28. http://dx.doi.org/10.1007/bf00199544.

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Shearer, Ruth, Ruth Davidhizar, and Steven Dowd. "Moving from Illness to Wellness: An Important Goal of Home Care." Home Health Care Services Quarterly 18, no. 2 (May 23, 2000): 69–78. http://dx.doi.org/10.1300/j027v18n02_04.

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Le, Giang. "Schmidt's subspace theorem for moving hypersurface targets." International Journal of Number Theory 11, no. 01 (November 24, 2014): 139–58. http://dx.doi.org/10.1142/s1793042115500086.

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42

Bay, Darlene, and Harold Daniel. "The theory of trying and goal-directed behavior: The effect of moving up the hierarchy of goals." Psychology and Marketing 20, no. 8 (July 15, 2003): 669–84. http://dx.doi.org/10.1002/mar.10091.

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43

Matsumoto, Takazumi, Wataru Ohata, Fabien C. Y. Benureau, and Jun Tani. "Goal-Directed Planning and Goal Understanding by Extended Active Inference: Evaluation through Simulated and Physical Robot Experiments." Entropy 24, no. 4 (March 28, 2022): 469. http://dx.doi.org/10.3390/e24040469.

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We show that goal-directed action planning and generation in a teleological framework can be formulated by extending the active inference framework. The proposed model, which is built on a variational recurrent neural network model, is characterized by three essential features. These are that (1) goals can be specified for both static sensory states, e.g., for goal images to be reached and dynamic processes, e.g., for moving around an object, (2) the model cannot only generate goal-directed action plans, but can also understand goals through sensory observation, and (3) the model generates future action plans for given goals based on the best estimate of the current state, inferred from past sensory observations. The proposed model is evaluated by conducting experiments on a simulated mobile agent as well as on a real humanoid robot performing object manipulation.
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Taggart, J., A. Schwartz, M. F. Harris, D. Perkins, G. Powell Davies, J. Proudfoot, M. Fanaian, and P. Crookes. "Facilitating teamwork in general practice: moving from theory to practice." Australian Journal of Primary Health 15, no. 1 (2009): 24. http://dx.doi.org/10.1071/py08057.

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The aims of this paper are to describe the development of an intervention to improve teamwork and systems in general practice that support the care of patients with diabetes, ischaemic heart disease and hypertension and to identify the challenges to implementing the intervention. Effective teamwork in general practice encompasses general practitioners (GP), clinical and non-clinical staff, each with clearly defined roles and opportunities to provide feedback and input into how the practice is run and chronic disease managed. The intervention implemented in this study provided an opportunity for key members of general practice teams to work with a facilitator on changes to improve teamwork over three practice visits over 6–12 months. Facilitators had experience in practice support and goal setting, an understanding of the Medicare Items and knowledge about teamwork and systems. The visits focussed on the specific needs and capacities of each practice, assisting the team to set manageable goals and building systems that best utilise the systemic and human resources available. Successful implementation of sustained change depended on strong leadership in the practice and cooperation between team members as well as clear and achievable goals being set. Structured facilitation of teamwork in general practice should focus on goal setting and the development of leadership and communication rather than delivery of information or resources.
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Svantesson, Dan Jerker B. "International Data Transfers post Schrems – Moving Towards Solutions." Gdańskie Studia Prawnicze, no. 4(52)/2021 (December 15, 2021): 21–37. http://dx.doi.org/10.26881/gsp.2021.4.02.

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International data transfers are both essential for the modern world and a major source of risksto the protection of personal data. In this, we can speak of a clash between an important multifacetedobjective and the protection of a complex fundamental human right with implicationsgoing far beyond that right itself.The goal must be to facilitate data privacy respecting international data transfers. However,agreement on this goal – even if widespread – does not necessarily signal agreement on how wereach that goal. To make progress, we must proceed with caution and yet avoid getting boggeddown in the unavoidable challenges, such as definitional challenges, we will face.This article canvasses a selection of key considerations that ought to be kept in mind whenwe discuss approaches to international data transfers. However, to prepare ground for that discussion,it first sets the scene by examining the so-called Schrems II decision, its larger contextand background, as well as some of the reactions we have seen to that decision.
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FERRARI, FABRICIO. "A NEW PARAMETERIZED POTENTIAL FAMILY FOR PATH PLANNING ALGORITHMS." International Journal on Artificial Intelligence Tools 18, no. 06 (December 2009): 949–57. http://dx.doi.org/10.1142/s0218213009000470.

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In this work, it is proposed a new family of potentials for path planning algorithms, one kind to the goal and other to the obstacles. With these new potentials it is possible to parameterize the potential scale length and strength easily, providing better control over the moving object path characteristics. In this way, the path problem can be treated analytically. For example, the minimum distance between the moving object and the obstacles can be calculated as a function of the potential parameters. Simulations are made to test its ability to guide a vehicle through an obstacle-free path towards the goal. The success rate of the moving object on reaching the goal is compared with the potential parameters and with obstacle configuration and distribution parameters.
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Silver, Larry. "Adam Kraft’s Moving Sandstones." Arts 12, no. 1 (January 6, 2023): 9. http://dx.doi.org/10.3390/arts12010009.

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Adam Kraft, Albrecht Dürer’s contemporary in Nuremberg, worked in the material of sandstone to provide a comparable experience in carved relief about the Passion of Christ. Both artists began their work in Nuremberg around the same time, 1490, although the older Kraft actually predeceased Dürer by two full decades (1508/1528). But both Nuremberg artists shared a religious sentiment of late-medieval art as having a goal to evoke pious emotions through vivid, multi-figured narrative re-enactments. Kraft’s Stations of the Cross series simulates an imaginary pilgrimage in Jerusalem itself. Through their visual process, both Kraft and Dürer moved pious empathy in their—literally—moving viewers of Passion sequences.
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48

Grønnerød, Cato, and Ellen Hartmann. "Moving Rorschach Scoring Forward." Rorschachiana 31, no. 1 (January 2010): 22–42. http://dx.doi.org/10.1027/1192-5604/a000003.

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A new scoring system called RN-Rorschach was developed in Norway to provide a simple system focusing on clinical usefulness, with acceptable psychometric properties and with a high level of compatibility with the Comprehensive System (CS). The Rorschach method is a demanding method, and the CS may be too complex for learning the basic aspects of the Rorschach method, especially for students in introductory courses. Experience from teaching in introductory courses indicates that the goal of a simple and useful system has been achieved. Data on psychometric properties indicate that interscorer reliability is generally high. Two overall iota (ι) estimates were found to be .85 and .93. Future developments of Rorschach scoring are discussed.
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Thakur, Ganesh. "Spectrum: Moving Toward 70% Recovery Factor: Multiple Disciplines, Different Methods, One Goal." Journal of Petroleum Technology 64, no. 06 (June 1, 2012): 14–15. http://dx.doi.org/10.2118/0612-0014-jpt.

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Belkhouche, F., and B. Belkhouche. "A method for robot navigation toward a moving goal with unknown maneuvers." Robotica 23, no. 6 (November 2005): 709–20. http://dx.doi.org/10.1017/s0263574704001523.

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Abstract:
This paper deals with a method for robot navigation towards a moving goal. The goal maneuvers are not a priori known to the robot. Our method is based on the use of the kinematics equations of the robot and the goal combined with geometrical rules. First a kinematics model for the tracking problem is derived and two strategies are suggested for robot navigation, namely the velocity pursuit guidance law and the deviated pursuit guidance law. It turns out that in both cases, the robot's angular velocity is equal to the line of sight angle rate. Important properties of the navigation strategies are discussed and proven. In the presence of obstacles, two navigation modes are used: the tracking mode, which has a global aspect and the obstacle avoidance mode, which has a local aspect. In the obstacle avoidance mode, a polar diagram combining information about obstacles and directions corresponding to the pursuit is constructed. An extensive simulation study is carried out, where the efficiency of both strategies is illustrated for different scenarios.
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