Journal articles on the topic 'Belief driven control'
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1
Airaudo, Marco, Roberta Cardani, and Kevin J. Lansing. "Monetary policy and asset prices with belief-driven fluctuations." Journal of Economic Dynamics and Control 37, no. 8 (August 2013): 1453–78. http://dx.doi.org/10.1016/j.jedc.2013.03.002.
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Webb, Stephen, and Tomonari Furukawa. "Belief-Driven Manipulator Visual Servoing for Less Controlled Environments." Advanced Robotics 22, no. 5 (January 1, 2008): 547–72. http://dx.doi.org/10.1163/156855308x294888.
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Douglas, Karen M., Robbie M. Sutton, and Aleksandra Cichocka. "The Psychology of Conspiracy Theories." Current Directions in Psychological Science 26, no. 6 (December 2017): 538–42. http://dx.doi.org/10.1177/0963721417718261.
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What psychological factors drive the popularity of conspiracy theories, which explain important events as secret plots by powerful and malevolent groups? What are the psychological consequences of adopting these theories? We review the current research and find that it answers the first of these questions more thoroughly than the second. Belief in conspiracy theories appears to be driven by motives that can be characterized as epistemic (understanding one’s environment), existential (being safe and in control of one’s environment), and social (maintaining a positive image of the self and the social group). However, little research has investigated the consequences of conspiracy belief, and to date, this research does not indicate that conspiracy belief fulfills people’s motivations. Instead, for many people, conspiracy belief may be more appealing than satisfying. Further research is needed to determine for whom, and under what conditions, conspiracy theories may satisfy key psychological motives.
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Schulreich, Stefan, and Lars Schwabe. "Causal Role of the Dorsolateral Prefrontal Cortex in Belief Updating under Uncertainty." Cerebral Cortex 31, no. 1 (August 20, 2020): 184–200. http://dx.doi.org/10.1093/cercor/bhaa219.
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Abstract Adaptive performance in uncertain environments depends on the ability to continuously update internal beliefs about environmental states. Recent correlative evidence suggests that a frontoparietal network including the dorsolateral prefrontal cortex (dlPFC) supports belief updating under uncertainty, but whether the dlPFC serves a “causal” role in this process is currently not clear. To elucidate its contribution, we leveraged transcranial direct current stimulation (tDCS) over the right dlPFC, while 91 participants performed an incentivized belief-updating task. Participants also underwent a psychosocial stress or control manipulation to investigate the role of stress, which is known to modulate dlPFC functioning. We observed enhanced monetary value updating after anodal tDCS when it was normatively expected from a Bayesian perspective. A model-based analysis indicates that this effect was driven by belief updating. However, we also observed enhanced non-normative value updating, which might have been driven instead by expectancy violation. Enhanced normative and non-normative value updating reflected increased vs. decreased Bayesian rationality, respectively. Furthermore, cortisol increases were associated with enhanced positive, but not with negative, value updating. The present study thereby sheds light on the causal role of the right dlPFC in the remarkable human ability to navigate uncertain environments by continuously updating prior knowledge following new evidence.
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Zhang, Chaoyang, and Pingyu Jiang. "RFID-Driven Energy-Efficient Control Approach of CNC Machine Tools Using Deep Belief Networks." IEEE Transactions on Automation Science and Engineering 17, no. 1 (January 2020): 129–41. http://dx.doi.org/10.1109/tase.2019.2909043.
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Wang, Xiaoli, Xingxiao Lv, and Chunhua Yang. "Data-driven Extraction Method of Belief Rule for Reagent Addition in Antimony Rougher Flotation." IFAC-PapersOnLine 52, no. 14 (2019): 72–77. http://dx.doi.org/10.1016/j.ifacol.2019.09.166.
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Nishimura, Haruki, and Mac Schwager. "SACBP: Belief space planning for continuous-time dynamical systems via stochastic sequential action control." International Journal of Robotics Research 40, no. 10-11 (August 13, 2021): 1167–95. http://dx.doi.org/10.1177/02783649211037697.
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We propose a novel belief space planning technique for continuous dynamics by viewing the belief system as a hybrid dynamical system with time-driven switching. Our approach is based on the perturbation theory of differential equations and extends sequential action control to stochastic dynamics. The resulting algorithm, which we name SACBP, does not require discretization of spaces or time and synthesizes control signals in near real-time. SACBP is an anytime algorithm that can handle general parametric Bayesian filters under certain assumptions. We demonstrate the effectiveness of our approach in an active sensing scenario and a model-based Bayesian reinforcement learning problem. In these challenging problems, we show that the algorithm significantly outperforms other existing solution techniques including approximate dynamic programming and local trajectory optimization.
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Chaudhuri, Ananish. "Belief Heterogeneity and the Restart Effect in a Public Goods Game." Games 9, no. 4 (November 23, 2018): 96. http://dx.doi.org/10.3390/g9040096.
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We explore how subjects with heterogeneous beliefs respond to a surprise restart in a linear public goods game played for 20 rounds using either a “partners” or a “strangers” protocol. There are two restarts: one prior to Round 11 and another prior to Round 16. We elicit subject beliefs at the outset and classify subjects into three groups—Top, Middle, and Bottom—depending on their prior beliefs about their peers’ contributions to the public good. Then, we look at how these three groups respond, in terms of their beliefs and contributions, before and after the restart. We replicate the restart effect, but find that (i) it is much more pronounced for partner matching than for stranger matching and (ii) it is less pronounced in treatments with belief elicitation compared to control treatments where beliefs are not elicited. We also find that the restart has the effect of regenerating a sense of optimism among the subjects, which is reflected in increased contributions subsequently. This increase in contribution is driven mostly by those subjects who started the game with relatively more optimistic beliefs. Our results have implications for sustaining cooperation in social dilemma games.
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Noel, Jean-Paul, Kaushik J. Lakshminarasimhan, Hyeshin Park, and Dora E. Angelaki. "Increased variability but intact integration during visual navigation in Autism Spectrum Disorder." Proceedings of the National Academy of Sciences 117, no. 20 (May 1, 2020): 11158–66. http://dx.doi.org/10.1073/pnas.2000216117.
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Autism Spectrum Disorder (ASD) is a common neurodevelopmental disturbance afflicting a variety of functions. The recent computational focus suggesting aberrant Bayesian inference in ASD has yielded promising but conflicting results in attempting to explain a wide variety of phenotypes by canonical computations. Here, we used a naturalistic visual path integration task that combines continuous action with active sensing and allows tracking of subjects’ dynamic belief states. Both groups showed a previously documented bias pattern by overshooting the radial distance and angular eccentricity of targets. For both control and ASD groups, these errors were driven by misestimated velocity signals due to a nonuniform speed prior rather than imperfect integration. We tracked participants’ beliefs and found no difference in the speed prior, but there was heightened variability in the ASD group. Both end point variance and trajectory irregularities correlated with ASD symptom severity. With feedback, variance was reduced, and ASD performance approached that of controls. These findings highlight the need for both more naturalistic tasks and a broader computational perspective to understand the ASD phenotype and pathology.
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Chinchali, Sandeep P., Scott C. Livingston, Mo Chen, and Marco Pavone. "Multi-objective optimal control for proactive decision making with temporal logic models." International Journal of Robotics Research 38, no. 12-13 (August 15, 2019): 1490–512. http://dx.doi.org/10.1177/0278364919868290.
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The operation of today’s robots entails interactions with humans, e.g., in autonomous driving amidst human-driven vehicles. To effectively do so, robots must proactively decode the intent of humans and concurrently leverage this knowledge for safe, cooperative task satisfaction: a problem we refer to as proactive decision making. However, simultaneous intent decoding and robotic control requires reasoning over several possible human behavioral models, resulting in high-dimensional state trajectories. In this paper, we address the proactive decision-making problem using a novel combination of formal methods, control, and data mining techniques. First, we distill high-dimensional state trajectories of human–robot interaction into concise, symbolic behavioral summaries that can be learned from data. Second, we leverage formal methods to model high-level agent goals, safe interaction, and information-seeking behavior with temporal logic formulas. Finally, we design a novel decision-making scheme that maintains a belief distribution over models of human behavior, and proactively plans informative actions. After showing several desirable theoretical properties, we apply our framework to a dataset of humans driving in crowded merging scenarios. For it, temporal logic models are generated and used to synthesize control strategies using tree-based value iteration and deep reinforcement learning. In addition, we illustrate how data-driven models of human responses to informative robot probes, such as from generative models such as conditional variational autoencoders, can be clustered with formal specifications. Results from simulated self-driving car scenarios demonstrate that data-driven strategies enable safe interaction, correct model identification, and significant dimensionality reduction.
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Mulema, Annet Abenakyo, Wole Kinati, Mamusha Lemma, Mesfin Mekonnen, Biruk G. Alemu, Belay Elias, Yifru Demeke, Hiwot Desta, and Barbara Wieland. "Clapping with Two Hands: Transforming Gender Relations and Zoonotic Disease Risks through Community Conversations in Rural Ethiopia." Human Ecology 48, no. 6 (October 26, 2020): 651–63. http://dx.doi.org/10.1007/s10745-020-00184-y.
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AbstractGender inequalities and zoonoses are major concerns in livestock production systems worldwide. Livestock producers are at high risk of zoonotic diseases due to direct and indirect contact with their livestock and livestock products. Gender differences and inequalities in roles, access to and control over resources, decision-making, and cultural norms influence exposure to, perceptions, and management practices for zoonotic disease risks. Using participatory action research, we tested the effectiveness of community conversations in changing gender relations and practices that expose livestock keepers to zoonoses in three districts of rural Ethiopia. Our findings show that community conversations change mindsets and practices regarding gender roles, access to and control over resources, decision-making in households, handling livestock, and consumption of animal-source foods. Behavioral change happens when women and men diagnose and understand the problem, reflect on the beliefs/norms that determine their practices, make shifts in cognitive and emotional mental models, commit, and take actions. This has practical and policy implications for interventions that aim to change behavior. The process requires nurturing collaborative relations, trust-building, community-driven social learning, enhancing local capacities, breaking belief traps, and complementarity to existing interventions.
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LI, DONG (HAOYUAN), ANNE LAURENT, and PASCAL PONCELET. "DISCOVERING FUZZY UNEXPECTED SEQUENCES WITH CONCEPT HIERARCHIES." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 17, supp01 (August 2009): 113–34. http://dx.doi.org/10.1142/s0218488509006054.
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Sequential pattern mining is the method that has received much attention in sequence data mining research and applications, however, a drawback is that it does not profit from prior knowledge of domains. In our previous work, we proposed a belief-driven method with fuzzy set theory for discovering the unexpected sequences that contradict existing knowledge of data, including occurrence constraints and semantic contradictions. In this paper, we present a new approach that discovers unexpected sequences with determining semantic contradictions by using concept hierarchies associated with the data. We evaluate the effectiveness of our approach with experiments on Web usage analysis.
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Jennings, Will, Gerry Stoker, Hannah Bunting, Viktor Orri Valgarðsson, Jennifer Gaskell, Daniel Devine, Lawrence McKay, and Melinda C. Mills. "Lack of Trust, Conspiracy Beliefs, and Social Media Use Predict COVID-19 Vaccine Hesitancy." Vaccines 9, no. 6 (June 3, 2021): 593. http://dx.doi.org/10.3390/vaccines9060593.
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As COVID-19 vaccines are rolled out across the world, there are growing concerns about the roles that trust, belief in conspiracy theories, and spread of misinformation through social media play in impacting vaccine hesitancy. We use a nationally representative survey of 1476 adults in the UK between 12 and 18 December 2020, along with 5 focus groups conducted during the same period. Trust is a core predictor, with distrust in vaccines in general and mistrust in government raising vaccine hesitancy. Trust in health institutions and experts and perceived personal threat are vital, with focus groups revealing that COVID-19 vaccine hesitancy is driven by a misunderstanding of herd immunity as providing protection, fear of rapid vaccine development and side effects, and beliefs that the virus is man-made and used for population control. In particular, those who obtain information from relatively unregulated social media sources—such as YouTube—that have recommendations tailored by watch history, and who hold general conspiratorial beliefs, are less willing to be vaccinated. Since an increasing number of individuals use social media for gathering health information, interventions require action from governments, health officials, and social media companies. More attention needs to be devoted to helping people understand their own risks, unpacking complex concepts, and filling knowledge voids.
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Chen, Wu, Wu, Xiong, Han, Ju, and Zhang. "Design and Analysis for Early Warning of Rotor UAV Based on Data-Driven DBN." Electronics 8, no. 11 (November 14, 2019): 1350. http://dx.doi.org/10.3390/electronics8111350.
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The unmanned aerial vehicle (UAV), which is a typical multi-sensor closed-loop flight control system, has the properties of multivariable, time-varying, strong coupling, and nonlinearity. Therefore, it is very difficult to obtain an accurate mathematical diagnostic model based on the traditional model-based method; this paper proposes a UAV sensor diagnostic method based on data-driven methods, which greatly improves the reliability of the rotor UAV nonlinear flight control system and achieves early warning. In order to realize the rapid on-line fault detection of the rotor UAV flight system and solve the problems of over-fitting, limited generalization, and long training time in the traditional shallow neural network for sensor fault diagnosis, a comprehensive fault diagnosis method based on deep belief network (DBN) is proposed. Using the DBN to replace the shallow neural network, a large amount of off-line historical sample data obtained from the rotor UAV are trained to obtain the optimal DBN network parameters and complete the on-line intelligent diagnosis to achieve the goal of early warning as possible as quickly. In the end, the two common faults of the UAV sensor, namely the stuck fault and the constant deviation fault, are simulated and compared with the back propagation (BP) neural network model represented by the shallow neural network to verify the effectiveness of the proposed method in the paper.
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Tesser, Lynn M. "East-Central Europe’s new security concern: foreign land ownership." Communist and Post-Communist Studies 37, no. 2 (June 1, 2004): 213–39. http://dx.doi.org/10.1016/j.postcomstud.2004.03.006.
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While foreign land ownership has become a post-Cold War security concern for East-Central Europe, it has been neglected in security studies focused on more traditional topics. This article offers a comparative analysis of: (1) the post-1989 development of policy towards land sales to non-citizens, (2) why foreign land ownership has been the most controversial in Hungary and especially Poland, and (3) why foreign ownership can be a useful tool for nationalists. Mining the land issue ultimately strikes a deeper tension between foreign-driven pressures to liberalize land markets within a pan-European free market and the still-strong belief that states should control land sales for the good of the nation.
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Robinson, Janean, Barry Down, and John Smyth. "‘Shaking up’ neoliberal policy in schools: Looking for democratic alternatives in Jacinta’s satchel." Global Studies of Childhood 8, no. 4 (December 2018): 392–403. http://dx.doi.org/10.1177/2043610618814841.
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Our research is driven by a strong belief that the stories of young people gathered through ethnographic interviews can generate awareness not only of the complexities, uncertainties and possibilities of young people’s lives but also the ways in which their identities and life chances are shaped by broader structural, institutional and historical forces beyond their control. In this article, we introduce Jacinta, a young person who describes the events and conditions which serve to hinder and/or support her journey in school and beyond. We have used Jacinta’s story from a larger research project, to speak back to the impact the broader neoliberalising agenda is having on young lives with a view to reimagining democratic alternatives in education.
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Tashakor, Shamim, Ranjith Appuhami, and Rahat Munir. "Environmental management accounting practices in Australian cotton farming." Accounting, Auditing & Accountability Journal 32, no. 4 (May 24, 2019): 1175–202. http://dx.doi.org/10.1108/aaaj-04-2018-3465.
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Purpose The purpose of this paper is to examine the association between the belief-based factors (attitude, subjective norm (SN) and perceived behavioural control (PBC)) and environmental management accounting (EMA) practices. Design/methodology/approach Drawing on the theory of planned behaviour (TPB), the study develops a structural model and uses partial least squares (PLS) technique to analyse data collected based on a survey of the Australian cotton farmers. Findings The findings indicate that while attitude and PBC significantly influence farmers’ intention to adopt EMA practices, SN has a significant indirect influence on EMA practices through farmers’ attitude and PBC. Further, the study reveals that while the intention of more environmentally friendly farmers is largely influenced by attitude and SN, the intention of less environmentally friendly farmers is primarily driven by PBC. Practical implications The study provides important insights into the role of attitude, SN and PBC in motivating farmers towards adopting EMA practices. Such insights could also help farmers in designing effective EMA practices. Originality/value This study contributes to very limited EMA literature on TPB by integrating three belief-based factors namely attitude, SN and PBC.
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Mushtaq, Shiza, M. M. Manjurul Islam, and Muhammad Sohaib. "Deep Learning Aided Data-Driven Fault Diagnosis of Rotatory Machine: A Comprehensive Review." Energies 14, no. 16 (August 20, 2021): 5150. http://dx.doi.org/10.3390/en14165150.
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This paper presents a comprehensive review of the developments made in rotating bearing fault diagnosis, a crucial component of a rotatory machine, during the past decade. A data-driven fault diagnosis framework consists of data acquisition, feature extraction/feature learning, and decision making based on shallow/deep learning algorithms. In this review paper, various signal processing techniques, classical machine learning approaches, and deep learning algorithms used for bearing fault diagnosis have been discussed. Moreover, highlights of the available public datasets that have been widely used in bearing fault diagnosis experiments, such as Case Western Reserve University (CWRU), Paderborn University Bearing, PRONOSTIA, and Intelligent Maintenance Systems (IMS), are discussed in this paper. A comparison of machine learning techniques, such as support vector machines, k-nearest neighbors, artificial neural networks, etc., deep learning algorithms such as a deep convolutional network (CNN), auto-encoder-based deep neural network (AE-DNN), deep belief network (DBN), deep recurrent neural network (RNN), and other deep learning methods that have been utilized for the diagnosis of rotary machines bearing fault, is presented.
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Abdullah, Nurzulaikha, Yee Cheng Kueh, Garry Kuan, Mung Seong Wong, Fatan Hamamah Yahaya, and Yeong Yeh Lee. "Validity and Reliability of the Newly Developed Malay-Language Health Belief of Bloating (HB-Bloat) Scale." International Journal of Environmental Research and Public Health 17, no. 8 (April 17, 2020): 2773. http://dx.doi.org/10.3390/ijerph17082773.
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Abdominal bloating (AB), a common complaint that affects quality of life and disturbs psychological well-being, is largely a behavioral-driven disorder. We aimed to develop and validate a new health belief of bloating (HB-Bloat) scale in the Malay language. The initial item pool was developed based on the theory of planned behavior, empirical literatures, expert review and in-depth interviews. Using the population with bloating (diagnosed based on the Rome IV criteria and pictogram), exploratory and confirmatory factor analytical approaches (EFA and CFA, respectively) were utilized to explore and confirm the domains in the new scale. There were 150 and 323 respondents in the EFA and CFA, respectively. There were 45 items in the initial scale, but it was reduced to 32 items after content validity and pre-testing. In EFA, 17 items with three (3) structure factors (attitude 4 items, subjective norm 7 items, and perceived behavior control 6 items) were identified. Total variance explained by the EFA model was 40.92%. The Cronbach alpha of the three (3) factors ranged from 0.61 to 0.79. With CFA, the three factors model was further tested. Five problematic items were identified and removed. The final measurement model fit the data well (root mean square error of approximation (RMSEA (90% CI) = 0.054 (0.038, 0.070), Comparative Fit Index (CFI) = 0.941, Tucker–Lewis Fit Index (TLI) = 0.924, and standardized root mean squared residual (SRMR) = 0.044). The construct reliability of the final measurement model ranged from 0.76 to 0.84. As a conclusion, the new HB-Bloat scale is a valid and reliable tool for assessment of health beliefs in bloating.
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Desaraju, Vishnu R., Alexander E. Spitzer, Cormac O’Meadhra, Lauren Lieu, and Nathan Michael. "Leveraging experience for robust, adaptive nonlinear MPC on computationally constrained systems with time-varying state uncertainty." International Journal of Robotics Research 37, no. 13-14 (September 11, 2018): 1690–712. http://dx.doi.org/10.1177/0278364918793717.
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This paper presents a robust-adaptive nonlinear model predictive control (MPC) technique that leverages past experiences to achieve tractability on computationally constrained systems. We propose a robust extension of the Experience-driven Predictive Control (EPC) algorithm via a Gaussian belief propagation strategy that computes an uncertainty set, bounding the evolution of the system state in the presence of time-varying state uncertainty. This uncertainty set is used to tighten the constraints in the predictive control formulation via a chance-constrained approach, thereby providing a probabilistic guarantee of constraint satisfaction. The parameterized form of the controllers produced by EPC coupled with online uncertainty estimates ensures that this robust constraint satisfaction property persists, even as the system switches controllers and experiences variations in the uncertainty model. We validate the online performance and robust constraint satisfaction of the proposed Robust EPC algorithm through a series of trials with a simulated ground robot and three experimental platforms: (1) a small quadrotor aerial robot executing aggressive maneuvers in wind with degraded state estimates, (2) a skid-steer ground robot equipped with a laser-based localization system, and (3) a hexarotor aerial robot equipped with a vision-based localization system.
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Chukwura, Chizoba L., Theresa Jackson Santo, Clarice N. Waters, and Anne Andrews. "‘Nutrition is out of our control’: soldiers’ perceptions of their local food environment." Public Health Nutrition 22, no. 15 (June 21, 2019): 2766–76. http://dx.doi.org/10.1017/s1368980019001381.
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AbstractObjective:To explore the perceptions of soldiers participating in a US Army Office of The Surgeon General’s worksite health promotion programme (WHPP) on the local food environment within their campus-style workplace.Design:Focus groups were conducted to evaluate the perceived effectiveness of the WHPP implementation. Further exploration of focus group data through thematic analysis focused on perceived contributions of the military campus-style food environment to soldiers’ nutrition behaviours.Setting:Three US Army installations located in the continental USA.Participants:Active duty soldiers (n 366) participating in one of the fifty-eight focus groups.Results:Soldiers shared a common belief of self-discipline and personal responsibility as the foothold to nutrition behaviour change. Soldiers described aspects of the military campus-style food environment as factors impeding achievement of optimal nutrition. Collectively, soldiers perceived the proximity and density of fast-food restaurants, lack of healthy alternatives on the installation and the cost of healthy food as inhibitors to choosing healthy foods. Overwhelmingly, soldiers also perceived time constraints as a factor contributing to unhealthy food choices.Conclusions:Although nutrition behaviour is individually driven, soldiers perceived the military campus-style food environment inhibits healthy decision making. Nutrition programming in military WHPP must integrate food environment changes to improve soldiers’ nutrition behaviour outcomes. Applicable to the military, food choice behaviour studies suggest environmental changes must be appealing to young adults. Considerations for environmental changes should include an increased portion size for healthy options, broadened use of soldiers’ daily food allowances on local produce and increased availability of grab-and-go options.
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Tedesco, Vincenzo. "Treasure Hunt—Roman Inquisition and Magical Practices Ad Inveniendos Thesauros in Southern Tuscany." Religions 10, no. 7 (July 22, 2019): 444. http://dx.doi.org/10.3390/rel10070444.
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Resorting to the supernatural to find something lost is a practice that can be observed over a very large range of times and places. With the affirmation of Christianity, these kinds of habits and beliefs were considered superstitious by the Church. During the early modern era, the institution appointed to control the integrity of the faithful in the Italian peninsula was the Supreme Sacred Congregation of the Roman and Universal Inquisition, which had a significant number of local tribunals spread over the territory. This essay aims to study the diffusion of the practice of finding treasures by using magical items and rituals in the area under the jurisdiction of the Sienese tribunal of the Holy Office (approximately the entire southern Tuscany), whose trial sources are preserved in the Archive of the Congregation for the Doctrine of the Faith (Vatican City). The research, based on around seventy individual cases, shows an interesting belief from a historical–anthropological point of view, namely: although in most cases people were looking for everyday objects that they had lost, sometimes, they used the same rituals to search for ancient treasures that they heard were buried or hidden in a particular place (church, field, or cellar), with the presence of guardians like spirits or demons, that had to be driven away with a prayer or an exorcism before taking possession of the treasure.
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Rapple, Brendan A. "Payment by Results." education policy analysis archives 2 (January 5, 1994): 1. http://dx.doi.org/10.14507/epaa.v2n1.1994.
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Today the public is demanding that it exercise more control over how tax dollars are spent in the educational sphere, with multitudes also canvassing that education become closely aligned to the marketplace's economic forces. In this paper I examine an historical precedent for such demands, i.e. the comprehensive 19th century system of accountability, "Payment by Results," which endured in English and Welsh elementary schools from 1862 until 1897. Particular emphasis is focused on the economic market-driven aspect of the system whereby every pupil was examined annually by an Inspector, the amount of the governmental grant being largely dependent on the answering. I argue that this was a narrow, restrictive system of educational accountability though one totally in keeping with the age's pervasive utilitarian belief in laissez-faire. I conclude by observing that this Victorian system might be suggestive to us today when calls for analogous schemes of educational accountability are shrill.
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Bartashevich, Palina, and Sanaz Mostaghim. "Multi-featured collective perception with Evidence Theory: tackling spatial correlations." Swarm Intelligence 15, no. 1-2 (May 22, 2021): 83–110. http://dx.doi.org/10.1007/s11721-021-00192-8.
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AbstractCollective perception allows sparsely distributed agents to form a global view on a common spatially distributed problem without any direct access to global knowledge and only based on a combination of locally perceived information. However, the evidence gathered from the environment is often subject to spatial correlations and depends on the movements of the agents. The latter is not always easy to control and the main question is how to share and to combine the estimated information to achieve the most precise global estimate in the least possible time. The current article aims at answering this question with the help of evidence theory, also known as Dempster–Shafer theory, applied to the collective perception scenario as a collective decision-making problem. We study eight most common belief combination operators to address the arising conflict between different sources of evidence in a highly dynamic multi-agent setting, driven by modulation of positive feedback. In comparison with existing approaches, such as voter models, the presented framework operates on quantitative belief assignments of the agents based on the observation time of the options according to the agents’ opinions. The evaluated results on an extended benchmark set for multiple options ($$n>2$$ n > 2 ) indicate that the proportional conflict redistribution (PCR) principle allows a collective of small size ($$N=20$$ N = 20 ), occupying $$3.5\%$$ 3.5 % of the surface, to successfully resolve the conflict between clustered areas of features and reach a consensus with almost $$100\%$$ 100 % certainty up to $$n=5$$ n = 5 .
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Leurmsai, Samniang. "The Metaphysics and Ethics According to the Bhagavadgita and the Suttanta Pitaka." MANUSYA 3, no. 2 (2000): 45–60. http://dx.doi.org/10.1163/26659077-00302005.
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The purpose of this paper is to compare ideas of metaphysics and ethics written in the Bhagavadgītā text of Hinduism, and the Suttanta Pitaka, text of Buddhism. After examination, it is found that the Bhagavadgītā recognizes the idea of God (brahman) and Self (ātman) which are mainly metaphysical concepts, whereas the Suttanta Pitaka rejects these ideas. Both texts agree ignorance and desire are causes of deluded actions which are responsible for the continued chain of existence and that all beings are born again repeatedly in different spheres of life driven by their intentional actions. To stop rebirth and to attain the highest goal of life (salvation), one should eliminate desire, hatred and delusion. However, the karma-forces of the Bhagavadgītā seem to be different from that of the Suttanta Pitaka, because they are under the control of God. With regard to the idea of ethics, some practical paths written in both texts are really the same, but the standard of moral judgement in the Bhagavadgītā differs from the Suttanta Pitaka due to the belief in God.
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Sokov, N. "The U.S. withdrawal from the Open Skies Treaty." Pathways to Peace and Security, no. 1 (2021): 133–50. http://dx.doi.org/10.20542/2307-1494-2021-1-133-150.
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The article analyzes the dynamics, causes and implications of the collapse of the Open Skies Treaty in the broader context of gradual dismantlement of the network of arms control and confidence building regimes created at the end of the Cold War. The central focus is on the explanation of the declining U.S. support for the treaty since the 2010s and the eventual withdrawal addressed against the background of the evolution of the U.S. approach to arms control during the first two decades of the 21st century. While policies changed from one president to another, a sequence of U.S. administrations shared growing loss of interest in arms control and unwillingness to invest in generating domestic support for existing and new agreements. The weakening of arms control became preferable to limitations on the U.S.’ own programs and forces, in line with the belief that the United States was sufficiently advanced to remain ahead of any possible competitors, including Russia. While arms control issues are more effectively addressed through detailed, difficult negotiations and compromises, the evolving U.S. approach to perceived treaty violations by Russia amounted to an ultimatum to Moscow to admit violations and fix them the way the U.S. wants them to be fixed. Russia’s decision to follow suit by withdrawing from the treaty, while not immediate or preordained, is explained as driven both by political motives and, in cost-benefit terms, by concerns that the United States would keep access to data on Russia collected under the treaty through the U.S. NATO allies. The prospects for modest upgrade of the arms control agenda under the Biden administration are also addressed.
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MCKITTRICK, MEREDITH. "FAITHFUL DAUGHTER, MURDERING MOTHER: TRANSGRESSION AND SOCIAL CONTROL IN COLONIAL NAMIBIA." Journal of African History 40, no. 2 (July 1999): 265–83. http://dx.doi.org/10.1017/s002185379900746x.
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In 1938 or 1939, an uninitiated and unwed girl named Nangombe living in the Uukwaluudhi district of Ovamboland, northern Namibia, became pregnant. If mission and colonial accounts are to be believed, it was not an unusual occurrence at this time, but it had profound consequences for Nangombe and those close to her. By the 1930s, the belief that pre-initiation pregnancies boded ill fortune for clan, chief and community was highly contested, but it was far from extinct. When the chief discovered the pregnancy, he expelled Nangombe. She took refuge in a neighboring society and bore a daughter. While such infants were often killed at birth, Nangombe's was not. Mother and daughter returned home within the year. The chief, enraged by their reappearance, then expelled the entire family.The problems created by Nangombe's child caused tension in her household and the family was driven to begging for food. Nangombe's mother, seeing the catastrophes already caused by the presence of her illegitimate granddaughter and fearing that worse would come, urged her daughter to kill the child. Nangombe refused, while her mother continued to offer dire predictions that their lineage would be destroyed if the child were left alive. Finally, in July 1941, Nangombe gave into her mother's pressure and strangled her daughter. Her father and the local chief reported her act to colonial officials. The colonial government of South West Africa investigated and sent her to trial with her mother, who was charged as an accessory to murder.The nature of the case changed abruptly in the colonial capital of Windhoek. Instead of trying Nangombe for murder, the Supreme Court convened to decide whether she was insane, despite testimony from her village asserting that she was sane and that the murder had been a rational act. Her mother was transformed from a co-defendant to a witness to her daughter's physical and mental health. Nangombe was diagnosed as epileptic and, on this basis, committed to a native asylum in Fort Beaufort, South Africa. She remained there until 1946, when she was released and returned home. She lived out the rest of her life in relative anonymity, little noticed in the communities where she lived and invisible to the colonial administration – a far cry from the scrutiny and public interventions which attended her young adulthood.
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McHale, Thomas C., Claudia M. Romero-Vivas, Claudio Fronterre, Pedro Arango-Padilla, Naomi R. Waterlow, Chad D. Nix, Andrew K. Falconar, and Jorge Cano. "Spatiotemporal Heterogeneity in the Distribution of Chikungunya and Zika Virus Case Incidences during their 2014 to 2016 Epidemics in Barranquilla, Colombia." International Journal of Environmental Research and Public Health 16, no. 10 (May 18, 2019): 1759. http://dx.doi.org/10.3390/ijerph16101759.
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Chikungunya virus (CHIKV) and Zika virus (ZIKV) have recently emerged as globally important infections. This study aimed to explore the spatiotemporal heterogeneity in the occurrence of CHIKV and ZIKV outbreaks throughout the major international seaport city of Barranquilla, Colombia in 2014 and 2016 and the potential for clustering. Incidence data were fitted using multiple Bayesian Poisson models based on multiple explanatory variables as potential risk factors identified from other studies and options for random effects. A best fit model was used to analyse their case incidence risks and identify any risk factors during their epidemics. Neighbourhoods in the northern region were hotspots for both CHIKV and ZIKV outbreaks. Additional hotspots occurred in the southwestern and some eastern/southeastern areas during their outbreaks containing part of, or immediately adjacent to, the major circular city road with its import/export cargo warehouses and harbour area. Multivariate conditional autoregressive models strongly identified higher socioeconomic strata and living in a neighbourhood near a major road as risk factors for ZIKV case incidences. These findings will help to appropriately focus vector control efforts but also challenge the belief that these infections are driven by social vulnerability and merit further study both in Barranquilla and throughout the world’s tropical and subtropical regions.
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Cottrell, M. Patrick. "Legitimacy and Institutional Replacement: The Convention on Certain Conventional Weapons and the Emergence of the Mine Ban Treaty." International Organization 63, no. 2 (April 2009): 217–48. http://dx.doi.org/10.1017/s0020818309090079.
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AbstractWhen and under what conditions is an existing international institution most likely to be replaced by a new one? Conventional international relations theories offer only partial insights into this question and seldom address it directly. But replacement occurs in a variety of important international contexts. For example, the United Nations replaced the League of Nations, the WTO replaced the GATT, and most recently, the Ottawa Convention banning landmines replaced Protocol II of the Convention on Certain Conventional Weapons (CCW). I argue that the concept of legitimacy, commonly defined as “the belief that an institution ought to be obeyed,” and careful attention to the development of the existing institution are necessary to understand replacement. After developing a theoretical framework to conceptualize the relationship between legitimacy and replacement, this article traces the origins and development of the largely overlooked institutional predecessor to the Ottawa Convention: the CCW. It then shows how ideational change, driven by transnational efforts to delegitimate the CCW, paved the way for a shift in discourse from control to disarmament that made the creation of a new institution possible. The article concludes by seeking to generalize from the CCW experience through a preliminary discussion of other ways and cases in which legitimacy might affect institutional replacement and persistence.
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Wajcman, Judy. "The Digital Architecture of Time Management." Science, Technology, & Human Values 44, no. 2 (August 23, 2018): 315–37. http://dx.doi.org/10.1177/0162243918795041.
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This article explores how the shift from print to electronic calendars materializes and exacerbates a distinctively quantitative, “spreadsheet” orientation to time. Drawing on interviews with engineers, I argue that calendaring systems are emblematic of a larger design rationale in Silicon Valley to mechanize human thought and action in order to make them more efficient and reliable. The belief that technology can be profitably employed to control and manage time has a long history and continues to animate contemporary sociotechnical imaginaries of what automation will deliver. In the current moment we live in the age of the algorithm and machine learning, so it is no wonder, then, that the contemporary design of digital calendars is driven by a vision of intelligent time management. As I go on to show in the second part of the article, this vision is increasingly realized in the form of intelligent digital assistants whose tracking capacities and behavioral algorithms aim to solve life’s existential problem—how best to organize the time of our lives. This article contributes to STS scholarship on the role of technological artifacts in generating new temporalities that shape people’s perception of time, how they act in the world, and how they understand themselves.
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Wang, Junnian, Yao Dou, Zhenheng Wang, and Dan Jiang. "Multi-fault diagnosis method for wind power generation system based on recurrent neural network." Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy 233, no. 5 (April 22, 2019): 604–15. http://dx.doi.org/10.1177/0957650919844065.
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With the continuous expansion of the scale of wind turbine system, wind power production, operation and equipment control of wind turbine have become more and more significant. To improve the reliability of wind turbine systems fault diagnosis, combining with data-driven technology, this paper proposes a multi-fault diagnosis method for wind power system based on recurrent neural network. According to the actual wind speed data, the normal operation and fault data of the wind turbine system are obtained by system modeling, and the classification and prediction model based on the recurrent neural network algorithm is established, which takes 30 characteristic parameters such as wind speed, rotor speed, generator speed and power generation as input, and 10 different types faults labels of the wind turbine as output. Specific rules formed inside the sample data of the wind turbine system are learned intelligently by the model which is continuously trained, optimized and tested to verify the feasibility of the algorithm. The results of evaluation standards such as accuracy rate, missed detection rate and F1-measure that compared with other related algorithms such as deep belief network show that the proposed algorithm can solve the problem of multi-classification fault diagnosis for wind power generation system efficiently.
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Rather, Bilal Ahmad. "Workplace Bullying :Shape up or Ship Out." International Journal of Management Excellence 6, no. 3 (April 30, 2016): 703–7. http://dx.doi.org/10.17722/ijme.v6i3.826.
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In these times of global unemployment crises, a job is not just a means of survival but a way of living with dignity and honour. However, things turnaround for significant percentage of working population all over the globe and they don’t find in work what they originally joined it for. The workplace gets hostile to them, people behave aggressively, they feel harassment …. They get bullied. In this study we try to show how big a menace the workplace bullying is. We focus on its devastating effects on the lives of people and the organizational culture. By taking suitable examples from various researches, books, magazines, essays, government reports, NGOs and other highly accepted online sources, we try to show how lethal it could be for an organization if it gives in to the disease of workplace bullying. The study suggests some measures about how management can exercise control and ensure the work environment becomes appealing and result in the better productivity and profitability. Our study is driven by the belief that bullying of every kind needs to be stopped at every level and employees be given the relaxed and dignified workplace to work at. This reading should serve as a motivational tool for the organizations where bullying of any sort is prevalent, to check , control and make sure the employees are taking pride in being part of their work culture. Further, the reader shall gain the significant understanding of people involved in this act and effects it may have on the lives of victims and organizational efficiency.
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Wu, Tai-Yee, Xiaowen Xu, and David Atkin. "The alternatives to being silent: exploring opinion expression avoidance strategies for discussing politics on Facebook." Internet Research 30, no. 6 (July 3, 2020): 1709–29. http://dx.doi.org/10.1108/intr-06-2018-0284.
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PurposeThis study integrates the spiral of silence (SoS) theory and theory of planned behavior (TPB) by examining Facebook users' opinion expression avoidance, the reactions to dissenting views without revealing one's true opinion, in the context of political discussions. The present integrative approach provides a more comprehensive framework that expands our understanding of online opinion expression and withdrawal.Design/methodology/approachA cross-sectional online survey was employed, which rendered 348 valid responses from US college students (61.5% female; average age 19.11) recruited from a northeastern university.FindingsThe results categorized two sets of opinion avoidance strategies from six Facebook features. The intention to adopt “proactive avoidance strategies” (filtering out unwanted information) is positively related to descriptive norms and perceived self-efficacy, but negatively related to fear of isolation and perceived control of the urge to debate. Regarding the intention to employ “reactive avoidance strategies” (less obtrusive articulations), fear of isolation and attitudes toward opinion expression avoidance are positive determinants, whereas perceived control of the urge to debate again exerts a negative influence.Originality/valueThis study examines the growing variety of features that users adopt to avoid expressing their true opinion in reacting to dissenting views, updating our understanding of opinion circumvention in social media environment. As one of the few theoretically driven empirical investigations of SoS theory and TPB, the findings not only elucidate the significance of perceived behavioral control as the common ground in association with user adoption intention but also identify distinct qualities of the two sets of strategies that affect the likelihood of adoption. That is, proactive avoidance is more susceptible to normative influences, while reactive avoidance reflects user attitude and belief. This theoretical integration also helps identify diverse levels of intentions to strategically avoid opinion expression influenced by fear of isolation.
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Macfarlane, Karen E. "Here Be Monsters: Imperialism, Knowledge and the Limits of Empire." Text Matters, no. 6 (November 23, 2016): 74–95. http://dx.doi.org/10.1515/texmat-2016-0005.
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It has become a truism in discussions of Imperialist literature to state that the British empire was, in a very significant way, a textual exercise. Empire was simultaneously created and perpetuated through a proliferation of texts (governmental, legal, educational, scientific, fictional) driven significantly by a desire for what Thomas Richards describes as “one great system of knowledge.” The project of assembling this system assumed that all of the “alien” knowledges that it drew upon could be easily assimilated into existing, “universal” (that is, European) epistemological categories. This belief in “one great system” assumed that knowledges from far-flung outposts of empire could, through careful categorization and control, be made to reinforce, rather than threaten, the authority of imperial epistemic rule. But this movement into “new” epistemic as well as physical spaces opened up the disruptive possibility for and encounter with Foucault’s “insurrection of subjugated knowledges.” In the Imperial Gothic stories discussed here, the space between “knowing all there is to know” and the inherent unknowability of the “Other” is played out through representations of failures of classification and anxieties about the limits of knowledge. These anxieties are articulated through what is arguably one of the most heavily regulated signifiers of scientific progress at the turn of the century: the body. In an age that was preoccupied with bodies as spectacles that signified everything from criminal behaviour, psychological disorder, moral standing and racial categorization, the mutable, unclassifiable body functions as a signifier that mediates between imperial fantasies of control and definition and fin-de-siècle anxieties of dissolution and degeneration. In Imperial Gothic fiction these fears appear as a series of complex explorations of the ways in which the gap between the known and the unknown can be charted on and through a monstrous body that moves outside of stable classification.
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Xiao, Xizhu, Danielle Ka Lai Lee, Rachel Min Wong, and Porismita Borah. "The Impact of Theory in HPV Vaccination Promotion Research: A Systematic Review and Meta-Analysis." American Journal of Health Promotion 35, no. 7 (May 5, 2021): 1002–14. http://dx.doi.org/10.1177/08901171211012524.
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Objective: Numerous studies examined HPV vaccination promotional strategies. However, an overview of theory use, a synthesis of strategies’ effectiveness and an examination of the moderating influence of theory are absent. Data Source: We retrieved studies from Academic Search Complete, Business Source Complete, PubMed, PsycINFO, Web of Science, CMMC, CINAHL, and MEDLINE. Study Inclusion and Exclusion Criteria: 1) peer-reviewed articles written in English, 2) experimental or quasi-experimental, 3) measure HPV vaccination-related outcomes, 4) had to contain a control condition and report statistics necessary for conversion (for meta-analysis only). Data Extraction: 70 and 30 studies were included for the systematic review and meta-analysis respectively. Data Synthesis: Four major categories were coded: study information, theory use, type of theory, and outcomes. Two independent coders coded the sample (Cohen’s Kappa ranged from .8 to 1). Results: Most of the studies were based in the U.S. (77%, k = 54) with convenient samples (80%, k = 56), targeted toward females (46%, k = 32), and around a quarter did not employ any theories (47%, k = 33). Among theory-driven studies, the most commonly used were Framing (22%, k = 19), Health Belief Model (HBM; 13%, k = 12), and Narrative (7%, k = 6). Among controlled studies, promotional strategies were significantly more effective compared to the control (r+ = .25, p < .001). Strategies guided by the information, motivation, behavioral skills model (IMB) were more effective (r+ = .75, p < .001) than studies guided by framing theory (r+ = −.23, p < .001), HBM (r+ = .01, p < .001), and other theories (r+ = .11, p < .001). Conclusion: This review contributes to HPV vaccination promotion literature by offering a comprehensive overview of promotional strategies and practical suggestions for future research and practices.
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Becker, Keith, Jim Sprigg, and Alex Cosmas. "Estimating individual promotional campaign impacts through Bayesian inference." Journal of Consumer Marketing 31, no. 6/7 (November 4, 2014): 541–52. http://dx.doi.org/10.1108/jcm-06-2014-1006.
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Purpose – The purpose of this paper is to estimate individual promotional campaign impacts through Bayesian inference. Conventional statistics have worked well for analyzing the impact of direct marketing promotions on purchase behavior. However, many modern marketing programs must drive multiple purchase objectives, requiring more precise arbitration between multiple offers and collection of more data with which to differentiate individuals. This often results in datasets that are highly dimensional, yet also sparse, straining the power of statistical methods to properly estimate the effect of promotional treatments. Design/methodology/approach – Improvements in computing power have enabled new techniques for predicting individual behavior. This work investigates a probabilistic machine-learned Bayesian approach to predict individual impacts driven by promotional campaign offers for a leading global travel and hospitality chain. Comparisons were made to a linear regression, representative of the current state of practice. Findings – The findings of this work focus on comparing a machine-learned Bayesian approach with linear regression (which is representative of the current state of practice among industry practitioners) in the analysis of a promotional campaign across three key areas: highly dimensional data, sparse data and likelihood matching. Research limitations/implications – Because the findings are based on a single campaign, future work includes generalizing results across multiple promotional campaigns. Also of interest for future work are comparisons of the technique developed here with other techniques from academia. Practical implications – Because the Bayesian approach allows estimation of the influence of the promotion for each hypothetical customer’s set of promotional attributes, even when no exact look-alikes exist in the control group, a number of possible applications exist. These include optimal campaign design (given the ability to estimate the promotional attributes that are likely to drive the greatest incremental spend in a hypothetical deployment) and operationalizing efficient audience selection given the model’s individualized estimates, reducing the risk of marketing overcommunication, which can prompt costly unsubscriptions. Originality/value – The original contribution is the application of machine-learning to Bayesian Belief Network construction in the context of analyzing a multi-channel promotional campaign’s impact on individual customers. This is of value to practitioners seeking alternatives for campaign analysis for applications in which more commonly used models are not well-suited, such as the three key areas that this paper highlights: highly dimensional data, sparse data and likelihood matching.
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Howland, Michael F., Aditya S. Ghate, Sanjiva K. Lele, and John O. Dabiri. "Optimal closed-loop wake steering – Part 1: Conventionally neutral atmospheric boundary layer conditions." Wind Energy Science 5, no. 4 (October 13, 2020): 1315–38. http://dx.doi.org/10.5194/wes-5-1315-2020.
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Abstract. Strategies for wake loss mitigation through the use of dynamic closed-loop wake steering are investigated using large eddy simulations of conventionally neutral atmospheric boundary layer conditions in which the neutral boundary layer is capped by an inversion and a stable free atmosphere. The closed-loop controller synthesized in this study consists of a physics-based lifting line wake model combined with a data-driven ensemble Kalman filter (EnKF) state estimation technique to calibrate the wake model as a function of time in a generalized transient atmospheric flow environment. Computationally efficient gradient ascent yaw misalignment selection along with efficient state estimation enables the dynamic yaw calculation for real-time wind farm control. The wake steering controller is tested in a six-turbine array embedded in a statistically quasi-stationary, conventionally neutral flow with geostrophic forcing and Coriolis effects included. The controller statistically significantly increases power production compared to the baseline, greedy, yaw-aligned control provided that the EnKF estimation is constrained and informed with a physics-based prior belief of the wake model parameters. The influence of the model for the coefficient of power Cp as a function of the yaw misalignment is characterized. Errors in estimation of the power reduction as a function of yaw misalignment are shown to result in yaw steering configurations that underperform the baseline yaw-aligned configuration. Overestimating the power reduction due to yaw misalignment leads to increased power over the greedy operation, while underestimating the power reduction leads to decreased power; therefore, in an application where the influence of yaw misalignment on Cp is unknown, a conservative estimate should be taken. The EnKF-augmented wake model predicts the power production in yaw misalignment with a mean absolute error over the turbines in the farm of 0.02P1, with P1 as the power of the leading turbine at the farm. A standard wake model with wake spreading based on an empirical turbulence intensity relationship leads to a mean absolute error of 0.11P1, demonstrating that state estimation improves the predictive capabilities of simplified wake models.
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Martin, Andrew J. "The Lethal Cocktail: Low Self-belief, Low Control, and High Fear of Failure." Journal of Psychologists and Counsellors in Schools 12 (November 2002): 74–85. http://dx.doi.org/10.1017/s1037291100004568.
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Cluster analysis of school students' responses to the Student Motivation Scale (Martin, 2001, in press) identified two groups of students separated on the basis of their self-belief, sense of control, and fear of failure. The first group reflects failure avoidance and is represented by a lethal cocktail of low self-belief, low control, and high fear of failure. The second group reflects success orientation and is represented by high self-belief, high control, and low fear of failure. Follow-up analyses to validate these two clusters showed that the failure avoidant students were significantly higher in anxiety and pessimism and significantly lower in achievement. Implications are discussed for intervention and prevention aimed at enhancing students' self-belief and control and reducing students' fear of failure. Also discussed is the need to develop goals, incentives, and climates for students that draw them to attain success rather than drive them to avoid failure.
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Reiss, Henning, Silvana Birchenough, Angel Borja, Lene Buhl-Mortensen, Johan Craeymeersch, Jennifer Dannheim, Alexander Darr, et al. "Benthos distribution modelling and its relevance for marine ecosystem management." ICES Journal of Marine Science 72, no. 2 (June 19, 2014): 297–315. http://dx.doi.org/10.1093/icesjms/fsu107.
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Abstract Marine benthic ecosystems are difficult to monitor and assess, which is in contrast to modern ecosystem-based management requiring detailed information at all important ecological and anthropogenic impact levels. Ecosystem management needs to ensure a sustainable exploitation of marine resources as well as the protection of sensitive habitats, taking account of potential multiple-use conflicts and impacts over large spatial scales. The urgent need for large-scale spatial data on benthic species and communities resulted in an increasing application of distribution modelling (DM). The use of DM techniques enables to employ full spatial coverage data of environmental variables to predict benthic spatial distribution patterns. Especially, statistical DMs have opened new possibilities for ecosystem management applications, since they are straightforward and the outputs are easy to interpret and communicate. Mechanistic modelling techniques, targeting the fundamental niche of species, and Bayesian belief networks are the most promising to further improve DM performance in the marine realm. There are many actual and potential management applications of DMs in the marine benthic environment, these are (i) early warning systems for species invasion and pest control, (ii) to assess distribution probabilities of species to be protected, (iii) uses in monitoring design and spatial management frameworks (e.g. MPA designations), and (iv) establishing long-term ecosystem management measures (accounting for future climate-driven changes in the ecosystem). It is important to acknowledge also the limitations associated with DM applications in a marine management context as well as considering new areas for future DM developments. The knowledge of explanatory variables, for example, setting the basis for DM, will continue to be further developed: this includes both the abiotic (natural and anthropogenic) and the more pressing biotic (e.g. species interactions) aspects of the ecosystem. While the response variables on the other hand are often focused on species presence and some work undertaken on species abundances, it is equally important to consider, e.g. biological traits or benthic ecosystem functions in DM applications. Tools such as DMs are suitable to forecast the possible effects of climate change on benthic species distribution patterns and hence could help to steer present-day ecosystem management.
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Weinberg, Frankie J. "Epistemological beliefs and knowledge sharing in work teams." Learning Organization 22, no. 1 (January 12, 2015): 40–57. http://dx.doi.org/10.1108/tlo-11-2013-0067.
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Purpose – The purpose of this paper is to present a knowledge-sharing model that explains individual members’ motivation to share knowledge (knowledge donation and knowledge collection). Design/methodology/approach – The model is based on social-constructivist theories of epistemological beliefs, learning and distributed cognition, and is organized via the mechanism of propositional control, which suggests that attitudes or beliefs largely drive one’s behaviors. This paper also explores how epistemological belief systems may influence behavior processes at work. Findings – The model presented consists of five epistemological belief dimensions consistent with previous theorization about personal epistemologies. This paper demonstrates how sophisticated (as opposed to naive) beliefs on each of these five dimensions can stimulate one’s intrinsic desire to engage in knowledge-sharing behaviors. Research limitations/implications – The model is constrained by the assumptions that learning takes place socially and within a specific context (in this case, the team setting), and that a great deal of knowledge sharing is preferred over little knowledge sharing. This paper adds to the understanding of workplace learning by establishing a possible new antecedent to explain the process of how team members are motivated to engage in knowledge-sharing behaviors. Practical implications – The model may be used for knowledge management and to understand ineffectiveness in teams. It also may assist in human resource functions including selecting and training team members for knowledge-intensive positions. Social implications – Epistemology affects collaborative relationships. Collaborations and associated knowledge-sharing behaviors among work team members who design and implement products for public use are imperative toward developing products free from health and safety issues. Originality/value – This paper provides a model for understanding and developing motivation to engage in individual knowledge-sharing behaviors among work team members, which is considered critical toward an organization’s competitive advantage.
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MacDonald, Edith, Taciano Milfont, and Michael Gavin. "What drives cat-owner behaviour? First steps towards limiting domestic-cat impacts on native wildlife." Wildlife Research 42, no. 3 (2015): 257. http://dx.doi.org/10.1071/wr14164.
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Context Cats can have substantial negative impacts on native wildlife. To harness the collective conservation impact of owners keeping cats inside, advocacy campaigns need to be based on empirical evidence regarding potential drivers to change cat-owner behaviour. Aims We assessed the degree to which different socio-psychological factors (attitudes, subjective norms, and perceived behavioural control), past cat owner behaviour, demographics and group membership explained intentions of zoo visitors to bring cats inside. Methods A self-report questionnaire was distributed to zoo visitors based on the theory of planned behaviour. Visitors rated 24 belief statements and four behavioural-intention questions on a scale of one to seven. We adopted an information-theoretic approach to make inferences about the drivers of intention to bring cats inside. Key results Attitude and normative beliefs were strong predictors of intention. Specifically, attitudinal beliefs focussed on the benefits to the cat of being inside or the positive impact on the owner were correlated with intention. Bringing cats inside for the benefit of native species was weakly correlated with intention. We found an interaction between normative beliefs (injunctive and descriptive) and past behaviour. For respondents who were intermittently bringing their cat inside, veterinarians were a key injunctive normative influence. In contrast, respondents who kept their cat outside exclusively rated descriptive norms as influential on their own behaviour. Conclusions Our results indicated a way forward for future advocacy campaigns. To increase the frequency of visitors bringing cats inside, future research should look at campaigns using veterinarians to advocate messages that emphasise the benefits to the cat of being inside or the positive impact on the owner. To target visitors who keep their cat outside exclusively, a normative campaign highlighting the actions of others bringing their cats inside at night may prove successful. Implications Given the impacts cats have on wildlife, conservation campaigns need to properly design communication campaigns to have the best chance at altering cat-owner behaviour. Our results can help guide this process.
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Bielak, Allison A. M., David F. Hultsch, Judi Levy-Ajzenkopf, Stuart W. S. MacDonald, Michael A. Hunter, and Esther Strauss. "Short-Term Changes in General and Memory-Specific Control Beliefs and their Relationship to Cognition in Younger and Older Adults." International Journal of Aging and Human Development 65, no. 1 (July 2007): 53–71. http://dx.doi.org/10.2190/g458-x101-0338-746x.
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We examined short-term changes in younger and older adults' control beliefs. Participants completed measures of general and memory-specific competence and locus of control on 10 bi-monthly occasions. At each occasion, participants rated their control beliefs prior to and following completion of a battery of cognitive tasks. Exposure to the set of cognitively demanding tasks led to declines in older adults' ratings of both general and memory-specific competence compared to little change or increases in younger adults' ratings. Older adults were also more inconsistent in their reported locus of control beliefs across the 10 occasions. Analyses examining the relationship between control beliefs and actual cognitive performance revealed few significant effects, suggesting that short-term changes in perceived control are not driven by monitoring changes in actual performance. The results suggest the importance of assessing short-term as well as long-term changes in perceived control to obtain a complete picture of aging-related changes.
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Turnbull, Joanne, Catherine Pope, Alison Rowsell, Jane Prichard, Susan Halford, Jeremy Jones, Carl May, and Valerie Lattimer. "The work, workforce, technology and organisational implications of the ‘111’ single point of access telephone number for urgent (non-emergency) care: a mixed-methods case study." Health Services and Delivery Research 2, no. 3 (February 2014): 1–140. http://dx.doi.org/10.3310/hsdr02030.
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BackgroundNHS 111 represents a fundamental change in the way that urgent care is delivered. It is underpinned by a computer decision support system (CDSS) and involves significant labour substitution, in particular the greater use of non-clinical staff to deliver services.ObjectiveTo investigate four core features of health-care innovation and change in relation to the new NHS 111 telephone-based service for 24/7 access to urgent care, namely the way in whichworkandworkforceare organised for this new service and how thetechnologyandorganisational contextshape the way in which services are delivered.DesignComparative mixed-methods case study of NHS 111 providers.SettingsFive NHS 111 sites, characterised by differences in organisational size, form and ethos and in the type of workforce employed and professional roles and skill mix.MethodsThe study combined ethnographic and survey methods. Non-participant observation was conducted at NHS 111 call centres and their linked urgent care centre(s) (UCCs; a total of 356 hours). Six focus groups were conducted with 47 call advisers, clinicians and organisational managers. An online survey was administered to call centre and UCC staff (n = 745) to ask their views about NHS 111; trust in NHS Pathways; and communication and information sharing (response rate: 41% for call centre staff, 35% for UCC staff).ResultsClinical assessment by call advisers is characterised by high levels of communication (including negotiation, communication and translation) and ‘emotion’ work, extending the work beyond simple operation of a CDSS. At most sites clinical advisers supported call advisers in clinical assessment but also played an important role in managing and sanctioning dispositions, notably emergency ambulance dispositions. Clinicians at UCCs have experienced a loss of control over their everyday work, which is now shaped by call centre workers. The Directory of Services, which provides information about locally available services, is key to delivering an integrated urgent care system. Trust in the CDSS is higher amongst call advisers than amongst clinical staff but there is widespread belief that the CDSS is risk averse. Staff often develop workarounds to ‘make the technology work’. There is considerable variation in how NHS 111 is organised and delivered, shaped by the organisational history and the professional culture of the organisations involved. Some sites were driven more by rationing and systemising, pursuing the NHS 111 vision of ‘right care, right place, right time’, whereas others were driven more by an ethos of what they perceived was a more patient-centred service.ConclusionsNHS 111 is primarily founded on a network of different organisations providing different aspects of the service. This network is primarily enabled through technological integration. Successful integration also requires understanding and trusting relationships between different providers, which were lacking in some sites. Underpinning NHS 111 with non-clinical workers offers significant opportunities for workforce reconfiguration, but this is not a simple substitution of labour (i.e. non-clinical staff replacing clinical staff). There is a significant organisational structure that is necessary to support and ‘keep in place’ both the CDSS itself and non-clinical workers using the CDSS.FundingThe National Institute for Health Research Health Services and Delivery Research programme.
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Rad, Alexander. "Risk management–control system interplay: case studies of two banks." Journal of Accounting & Organizational Change 12, no. 4 (November 7, 2016): 522–46. http://dx.doi.org/10.1108/jaoc-08-2014-0042.
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Purpose This paper aims to explore the interplay between risk management and control systems in banks, specifically investigating the managerial intentions underlying the design of management control systems. Design/methodology/approach This study is based on 31 interviews with personnel of two banks in a European country. Findings The main finding is that belief systems drive the interplay between risk management and control systems in the studied banks. In several instances, belief systems and boundary systems were operating complementarily. Cross-case analyses of the two banks demonstrate that risk management (i.e. the Basel II Accord) replaced established operating procedures for loan origination and portfolio monitoring at the first bank, whereas senior managers suppressed Basel II to maintain established loan origination and portfolio monitoring procedures at the second one. Originality/value This is one of very few studies investigating the interplay between risk management and control systems in banks.
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Wingen, Tobias, and Simone Dohle. "Exploring Negative Beliefs About Power." Social Psychology 52, no. 4 (July 2021): 250–63. http://dx.doi.org/10.1027/1864-9335/a000453.
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Abstract. “The powerful are immoral”! Across four preregistered studies (total N = 2,744), we explored the role of perceived autonomy (control over own resources) and perceived influence (control over others’ resources) for this belief. In Study 1, perceived autonomy and influence mediated the effect of power on expected immorality. Likewise, directly manipulating perceived autonomy and influence led to increased expected immorality, increased perceived intentionality of a transgression, and consequently to harsher punishment recommendations (Studies 3 and 4). Interestingly, Study 2 revealed an interaction between autonomy and influence, which we however could not replicate in Study 4. Overall, our findings suggest that both autonomy and influence are associated with immorality and thus likely drive the belief that the powerful are immoral.
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CAREY, THOMAS A., DAVID J. FLANAGAN, and TIMOTHY B. PALMER. "AN EXAMINATION OF UNIVERSITY STUDENT ENTREPRENEURIAL INTENTIONS BY TYPE OF VENTURE." Journal of Developmental Entrepreneurship 15, no. 04 (December 2010): 503–17. http://dx.doi.org/10.1142/s1084946710001622.
Full textAbstract:
Learning what initially drives university students to be open to the thought of starting their own businesses has been of great interest to entrepreneurship researchers/educators. Past literature looks at a variety of important motivators that impact student intentions toward entrepreneurship but has tended to view entrepreneurial intentions as a homogeneous construct. This study uses Ajzen's theory of planned behavior to examine university students' intentions to start various types of ventures (small lifestyle, small high income and high growth). Results indicate that intentions to start small high income and high growth ventures share many commonalities and are significantly driven by behavioral beliefs and perceived behavioral control. Intentions to start small lifestyle ventures, on the other hand, are found to be independent from intentions to start either small, high income or high growth ventures and are not as well explained by the theory of planned behavior. Implications and ideas for future research and entrepreneurship education are discussed.
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Azam, Md Ali, Hans D. Mittelmann, and Shankarachary Ragi. "UAV Formation Shape Control via Decentralized Markov Decision Processes." Algorithms 14, no. 3 (March 17, 2021): 91. http://dx.doi.org/10.3390/a14030091.
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In this paper, we present a decentralized unmanned aerial vehicle (UAV) swarm formation control approach based on a decision theoretic approach. Specifically, we pose the UAV swarm motion control problem as a decentralized Markov decision process (Dec-MDP). Here, the goal is to drive the UAV swarm from an initial geographical region to another geographical region where the swarm must form a three-dimensional shape (e.g., surface of a sphere). As most decision-theoretic formulations suffer from the curse of dimensionality, we adapt an existing fast approximate dynamic programming method called nominal belief-state optimization (NBO) to approximately solve the formation control problem. We perform numerical studies in MATLAB to validate the performance of the above control algorithms.
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Frazier, D. T., and W. R. Revelette. "Role of phrenic nerve afferents in the control of breathing." Journal of Applied Physiology 70, no. 2 (February 1, 1991): 491–96. http://dx.doi.org/10.1152/jappl.1991.70.2.491.
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A long-held belief is that respiratory-related reflexes mediated by afferents in the diaphragm are weak or absent. However, recent data suggest that diaphragmatic afferents are capable of altering ventilatory motor drive as well as influencing perception of added inspiratory loads in humans. This review describes the sensory elements of the diaphragm, their central projections, and their functional significance in the control of respiratory muscle activation. The reflexes elicited by electrical stimulation of phrenic nerve afferents and the contribution of diaphragmatic afferents in respiratory load compensation and perception are considered. There is growing evidence that phrenic nerve afferents are activated under a variety of conditions. However, the significance of this input to the central nervous system is yet to be discerned.
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Leyens, Patrick C. "German Company Law: Recent Developments and Future Challenges." German Law Journal 6, no. 10 (October 1, 2005): 1407–17. http://dx.doi.org/10.1017/s2071832200014395.
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The last decade has been a time of changes in all branches of German company law. Whilst the changes in the law of civil partnerships go to the very fundaments of what was a firm belief for a hundred years in national law, the future of the private limited company is increasingly determined by the competition of regulators in the European common market. The European dimension of modern company law making is even more pervasive in the law of stock corporations where growing convergence can be noted in regard to the national approaches of the European Member States towards internal controls. A common denominator for most of the changes in German company law is the partly court driven, partly legislature driven attempt of a better adjustment of investor and creditor protection to evolving business needs. Looking on the changes from a wider angle that includes capital markets, however, there are signals for a shifting in the traditional approach of German corporate governance towards an increasingly market driven system.
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Moore, Ami R., Foster Amey, and Elias Mpofu. "Determinants of support for government involvement in obesity control among American adults." Translational Behavioral Medicine 9, no. 4 (July 21, 2018): 785–96. http://dx.doi.org/10.1093/tbm/iby079.
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Abstract Obesity takes a substantial toll on society as a whole. Obesity and its health-related complications contribute significantly to healthcare costs and negatively affects almost every aspect of human life. It is therefore reasonable for the government to be involved in finding solutions to control the epidemic. This article examined factors that influence support for government intervention in the obesity epidemic in the United States. We used data from Obesity in the United States: Public Perceptions, a survey of a nationally representative sample of American adults. We conducted OLS regression analysis, to understand how three main covariates that described beliefs about causes of obesity and a series of controls impact support for government intervention in obesity control. There was a significant negative relationship between support for government intervention and beliefs about causes of obesity. Also, political ideology and party affiliation significantly influenced support for government intervention. For instance, while Democrats were more supportive of government interventions to control obesity, Republicans were not supportive of such intervention. Additionally, race and environmental characteristics of place of residence significantly influenced support for government intervention. Further, there were significant joint effects of political affiliation, race, and weight status on support for government intervention. Unlike previous studies, we find that one of the important factors that drive people to either support or abhor government intervention is the perception of what causes obesity. It is important that public health officials and other stakeholders understand the intricacies of public support for obesity control.