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Journal articles on the topic 'Independent action model'

Author: Grafiati

Published: 7 September 2021

Last updated: 29 July 2025

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1

Abendroth, Julie A., Erin E. Blankenship, Alex R. Martin, and Fred W. Roeth. "Joint Action Analysis Utilizing Concentration Addition and Independent Action Models." Weed Technology 25, no. 3 (2011): 436–46. http://dx.doi.org/10.1614/wt-d-10-00102.1.

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In weed science literature, models such as concentration addition, independent action, effect summation, and the parallel line assay technique have been used to predict and analyze whole-plant response to herbicide mixtures. Although a joint action reference model is necessary for determining whether the herbicide mixture provides less than (antagonistic), equal to (zero-interaction or additive), or greater than (synergistic) expected control, model selection often occurs with little regard to the model's underlying biological assumptions. The joint action models of concentration addition (CA)

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Brustein, R., and S. P. de Alwis. "Background independent effective action from D = 1 matrix model." Physics Letters B 272, no. 3-4 (1991): 285–89. http://dx.doi.org/10.1016/0370-2693(91)91832-g.

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Zhou, Rui, Songlin Li, Hongwang Zhang, Chenxu Liu, and Jiajun Sun. "mmMulti: Multi-person Action Recognition Based on Multi-task Learning Using Millimeter Waves." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 9, no. 2 (2025): 1–25. https://doi.org/10.1145/3729461.

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Action recognition using millimeter waves (mmWave) has shown great potential in various fields. However, the state-of-the-art still falls short in terms of multi-person action recognition inclusive interactive action recognition. In this paper, we propose mmMulti, a multi-person action recognition method based on multi-task learning using millimeter waves. To this end, we first segregate the mmWave data and assign them to each of multiple persons, and propose two new input data---compressed Doppler map (CDM) and point trajectory segments (PTS)---to represent the patterns and sequential charact

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Khamida, Khamida, Siti Nurjanah, and Nur Ainiyah. "Peer Group Support dengan pendekatan Model Keperawatan Health promotion model berpengaruh terhadap manajemen Life style santri." Journal of Health Sciences 12, no. 02 (2019): 109–17. http://dx.doi.org/10.33086/jhs.v12i02.1192.

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Pendahuluan: Pesantren selain sebagai tempat pembelajaran juga dapat menjadi ancaman penularan penyakit jika tidak dikelola dengan baik karena transmisi yang mudah ini disebabkan karena tingkat kepadatan sehingga manajemen life style merupakan kebutuhan yang harus dilakukan karena penghuni pesantren adalah kelompok beresiko terkena penyakit. Tujuan penelitianini adalah mengetahui pengaruh Peer Group Support terhadap manajemen Life style Santriberdasarkan motivasi dan Perceived benefit of Action santridengan pendekatanmodelkeperawatanHealthPromotion Model.Metode: Desain penelitian quasy ekperim

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Ge, Hui Lin, Shu Shen Liu, Bing Xia Su, and Zhi Xu. "Mathematical Derivation of Concentration Addition, Independent Action and Effect Summation Models." Applied Mechanics and Materials 361-363 (August 2013): 1054–57. http://dx.doi.org/10.4028/www.scientific.net/amm.361-363.1054.

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The assessment of the combined effects of substances is usually based on concentration addition (CA), independent action (IA) or effect summation (ES) models. Both concepts are founded on different modes of actions of substances, but the knowledge about their relationship is rare. In this paper, we derived a series of inequalities for CA, IA and ES models, and proposed two novel models i.e., ES with the exponent e (ESE) model and ES with the power of the number of components n (ESN) model to evaluate the mixture effect. Our results may have certain significance in mixture risk assessment pract

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Hommel, Bernhard, and Reinout W. Wiers. "Towards a unitary approach to human action control." Trends in Cognitive Sciences 21, no. 12 (2017): 940–49. https://doi.org/10.1016/j.tics.2017.09.009.

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From its academic beginnings the theory of human action control has distinguished between endogenously driven, intentional action and exogenously driven, habitual, or automatic action. We challenge this dual-route model and argue that attempts to provide clear-cut and straightforward criteria to distinguish between intentional and automatic action have systematically failed. Specifically, we show that there is no evidence for intention-independent action, and that attempts to use the criterion of reward sensitivity and rationality to differentiate between intentional and automatic action are c

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Fauzan, Muhammad, Riris Ardhanariswari, and Ahmad Komari. "MODEL OF JUDGES SUPERVISION FOR INDONESIA INDEPENDENT JUDICIAL POWER IMPLEMENTATION." Jurnal Dinamika Hukum 17, no. 1 (2017): 31. http://dx.doi.org/10.20884/1.jdh.2017.17.1.831.

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Judges supervision in Indonesia’s constitutional system in the future will only be performed by Judicial Commission. Judicial Commission involves Judicial Commission, Provincial Judicial Commission and District/City Judicial Commission based on each authority. The research discusses model of judges supervision to implement an independent judicial power for the future Indonesia. This research is a normative juridical research with statute approach and conceptual approach. The results show Local Judicial Commission has duties and authorities to; First, monitor and surpervise Judges’ behavior. Se

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Zwart, Mark P., and Santiago F. Elena. "Testing the Independent Action Hypothesis of Plant Pathogen Mode of Action: A Simple and Powerful New Approach." Phytopathology® 105, no. 1 (2015): 18–25. http://dx.doi.org/10.1094/phyto-04-14-0111-r.

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The independent action hypothesis is a simple model of pathogen infection that can make many useful predictions on infection kinetics and, therefore, a number of different tests of independent action have been developed. However, some of these analyses are rather sophisticated, limiting their appeal to experimentalists, and it is also unclear how well the different tests perform. Here, we developed and evaluated a simple and robust new test of independent action. Our new test is based on using a constant inoculum dose of one pathogen variant, varying the dose of a second variant, and then quan

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Rojero Jiménez, Roberto, José Gerardo Ignacio Gómez-Romero, and Gustavo Morán-Soto. "Action leadership." Lúmina 24, no. 2 (2023): E0044. http://dx.doi.org/10.30554/lumina.v24.n2.4851.2023.

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Abstract: Given the economic and social reality that MSMEs are experiencing in the post-pandemic world, it is necessary to have a new style of leaders who can solve new organizational problems, for which a new leadership model was generated that integrates previous theories. Three independent leadership theories were mixed to develop a multidimensional model that could facilitate a better leadership assessment aiming to analyze the most important characteristics that employees seek in a leader. Data from 384 MSMEs employees was collected to analyze 31 combined items from three instruments to a

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Clarke, Annaley. "Sanctuary in Action." Children Australia 38, no. 3 (2013): 95–99. http://dx.doi.org/10.1017/cha.2013.12.

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The Sanctuary Model (Sanctuary) is a trauma-informed model of care for human services. The model is made up of tools, norms and theoretical underpinnings that form the basis of building safety and promoting recovery from adversity within the context of communities. Sanctuary focuses on healing those who have experienced trauma, by being purposeful and deliberate about the well-being of the system as a whole, including the client, staff, the organisation and more broadly the community. Churches of Christ Care Pathways have been implementing this model within the Australian out-of-home care cont

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Mordoch, Argaman, Brendan Juba, and Roni Stern. "Learning Safe Numeric Action Models." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 10 (2023): 12079–86. http://dx.doi.org/10.1609/aaai.v37i10.26424.

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Powerful domain-independent planners have been developed to solve various types of planning problems. These planners often require a model of the acting agent's actions, given in some planning domain description language. Yet obtaining such an action model is a notoriously hard task. This task is even more challenging in mission-critical domains, where a trial-and-error approach to learning how to act is not an option. In such domains, the action model used to generate plans must be safe, in the sense that plans generated with it must be applicable and achieve their goals. Learning safe action

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Shin, Yeji, Seoyong Kim, and Sohee Kim. "Searching for New Human Behavior Model in the Climate Change Age: Analyzing the Impact of Risk Perception and Government Factors on Intention–Action Consistency in Particulate Matter Mitigation." International Journal of Environmental Research and Public Health 19, no. 17 (2022): 11068. http://dx.doi.org/10.3390/ijerph191711068.

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This study aims to analyze factors influencing citizens’ intentions to take protective action against particulate matter (PM) and their actual actions in response to PM. There were few research on the role of government factors and the issue of intention–action inconsistency in the context of PM mitigation action. Therefore, this study set not only variables in the risk perception paradigm but also ones in government factors as independent variables, while intention and action in response to PM were set as dependent variables. This study’s analysis was based on survey data collected from Korea

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Mordoch, Argaman, Enrico Scala, Roni Stern, and Brendan Juba. "Safe Learning of PDDL Domains with Conditional Effects." Proceedings of the International Conference on Automated Planning and Scheduling 34 (May 30, 2024): 387–95. http://dx.doi.org/10.1609/icaps.v34i1.31498.

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Powerful domain-independent planners have been developed to solve various types of planning problems. These planners often require a model of the acting agent's actions, given in some planning domain description language. Manually designing such an action model is a notoriously challenging task. An alternative is to automatically learn action models from observation. Such an action model is called safe if every plan created with it is consistent with the real, unknown action model. Algorithms for learning such safe action models exist, yet they cannot handle domains with conditional or univers

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Wu, Lifang, Zhou Yang, Meng Jian, Jialie Shen, Yuchen Yang, and Xianglong Lang. "Global motion estimation with iterative optimization-based independent univariate model for action recognition." Pattern Recognition 116 (August 2021): 107925. http://dx.doi.org/10.1016/j.patcog.2021.107925.

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Long, Jiahuai, and Shuguang Rong. "Application of Machine Learning to Badminton Action Decomposition Teaching." Wireless Communications and Mobile Computing 2022 (April 20, 2022): 1–10. http://dx.doi.org/10.1155/2022/3707407.

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The study was aimed at realizing the identification of athletes’ actions in badminton teaching. The teaching process is segmented into many independent actions to help learners standardize their movements in badminton play, improving the national physical quality. First, the principle and advantages of machine vision sensing are introduced. Second, the images and videos about the action decomposition of badminton teaching are collected, and the image data are extracted by Haar-like. Subsequently, badminton players’ actions are recognized and preprocessed, and a dataset is constructed. Furtherm

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Zhong, Shan, Nader Pouratian, and Vassilios Christopoulos. "Computational mechanism underlying switching of motor actions." PLOS Computational Biology 21, no. 2 (2025): e1012811. https://doi.org/10.1371/journal.pcbi.1012811.

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Survival of species in an ever-changing environment requires a flexibility that extends beyond merely selecting the most appropriate actions. It also involves readiness to stop or switch actions in response to environmental changes. Although considerable research has been devoted to understanding how the brain switches actions, the computations underlying the switching process and how it relates to the selecting and stopping processes remain elusive. A normative theory suggests that switching is simply an extension of the stopping process, during which a current action is first inhibited by an

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Zwart, Mark P., Lia Hemerik, Jenny S. Cory, et al. "An experimental test of the independent action hypothesis in virus–insect pathosystems." Proceedings of the Royal Society B: Biological Sciences 276, no. 1665 (2009): 2233–42. http://dx.doi.org/10.1098/rspb.2009.0064.

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The ‘independent action hypothesis’ (IAH) states that each pathogen individual has a non-zero probability of causing host death and that pathogen individuals act independently. IAH has not been rigorously tested. In this paper, we (i) develop a probabilistic framework for testing IAH and (ii) demonstrate that, in two out of the six virus–insect pathosystems tested, IAH is supported by the data. We first show that IAH inextricably links host survivorship to the number of infecting pathogen individuals, and develop a model to predict the frequency of single- and dual-genotype infections when a h

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KEÇELI, ALI SEYDI, and AHMET BURAK CAN. "RECOGNITION OF BASIC HUMAN ACTIONS USING DEPTH INFORMATION." International Journal of Pattern Recognition and Artificial Intelligence 28, no. 02 (2014): 1450004. http://dx.doi.org/10.1142/s0218001414500049.

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Human action recognition using depth sensors is an emerging technology especially in game console industry. Depth information can provide robust features about 3D environments and increase accuracy of action recognition in short ranges. This paper presents an approach to recognize basic human actions using depth information obtained from the Kinect sensor. To recognize actions, features extracted from angle and displacement information of joints are used. Actions are classified using support vector machines and random forest (RF) algorithm. The model is tested on HUN-3D, MSRC-12, and MSR Actio

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Sk, Nayem, and Abhik Kumar Sanyal. "Field Independent Cosmic Evolution." Journal of Astrophysics 2013 (October 21, 2013): 1–12. http://dx.doi.org/10.1155/2013/590171.

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It has been shown earlier that Noether symmetry does not admit a form of corresponding to an action in which is coupled to scalar-tensor theory of gravity or even for pure theory of gravity taking anisotropic model into account. Here, we prove that theory of gravity does not admit Noether symmetry even if it is coupled to tachyonic field and considering a gauge in addition. To handle such a theory, a general conserved current has been constructed under a condition which decouples higher-order curvature part from the field part. This condition, in principle, solves for the scale-factor independ

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Wang, Ze-Jun, Shu-Shen Liu, Peng Huang, and Ya-Qian Xu. "Mixture predicted no-effect concentrations derived by independent action model vs concentration addition model based on different species sensitivity distribution models." Ecotoxicology and Environmental Safety 227 (December 2021): 112898. http://dx.doi.org/10.1016/j.ecoenv.2021.112898.

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López, Rodríguez Ana Mercedes. "CLASS ACTION IN THE EU: LESSONS FROM MIXED JURISDICTIONS." Journal of International and Comparative Law 11, no. 2 (2024): 277–306. https://doi.org/10.5281/zenodo.14917386.

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<em>Class actions enable consumers to take collective action against</em> <em>wrongdoing by businesses, which individual consumers may not find affordable</em> <em>or worthwhile. One of the drivers of the success of class actions has been</em> <em>the availability of funding to litigants. Along with these benefits come risks of</em> <em>abuse of the legal process. This article discusses how mixed jurisdictions have</em> <em>selectively adapted the uniquely American model of class action to suit their</em> <em>own circumstances. It argues that this experience is instructive for Member</em> <em>

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Wray, Nathan, Jeff Schappi, Harinder Singh, and Mark Rasenick. "793. Camp-Dependent and NMDAR-Independent Action of Ketamine in a Cellular Model System." Biological Psychiatry 81, no. 10 (2017): S322. http://dx.doi.org/10.1016/j.biopsych.2017.02.860.

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Arora, Arpit, Robyn E. Sanderson, Nondh Panithanpaisal, Emily C. Cunningham, Andrew Wetzel, and Nicolás Garavito-Camargo. "On the Stability of Tidal Streams in Action Space." Astrophysical Journal 939, no. 1 (2022): 2. http://dx.doi.org/10.3847/1538-4357/ac93fb.

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Abstract In the Gaia era it is increasingly apparent that traditional static, parameterized models are insufficient to describe the mass distribution of our complex, dynamically evolving Milky Way (MW). In this work, we compare different time-evolving and time-independent representations of the gravitational potentials of simulated MW-mass galaxies from the FIRE-2 suite of cosmological-baryonic simulations. Using these potentials, we calculate actions for star particles in tidal streams around three galaxies with varying merger histories at each snapshot from 7 Gyr ago to the present day. We d

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Zavodchikova, Nadejda I., Irina А. Bikova, and Ulyana V. Plyasunova. "Digital tools for managing the process of methodological skills formation." Vestnik of Kostroma State University. Series: Pedagogy. Psychology. Sociokinetics 29, no. 1 (2023): 39–46. http://dx.doi.org/10.34216/2073-1426-2023-29-1-39-46.

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The article discusses the question on expediency of using digital tools for managing the process of forming complex, multi-component skills, which comprise skills that are part of the methodological competence. Methodical skills are realized through methodical actions, where invariant and specific parts can be distinguished. The analysis of work experience and existing approaches to the management of the didactic system showed that at various stages of students' mastering design schemes of methodological actions invariants, it is necessary to use different management models. At the first stage

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Booth, Rachell E., John P. Johnson, and James D. Stockand. "ALDOSTERONE." Advances in Physiology Education 26, no. 1 (2002): 8–20. http://dx.doi.org/10.1152/advan.00051.2001.

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Aldosterone plays a pivotal role in electrolyte and fluid homeostasis and thus control of blood pressure. The “classical” view of aldosterone action is that it targets epithelia of the distal colon and renal nephron to stimulate Na+ (re)absorption and K+ secretion. In these cells, aldosterone binds steroid receptors, promoting translocation to the nucleus, where they modulate gene expression with the induced proteins stimulating transport. This “genomic” action is dependent on transcription and translation and has a latency of 0.5–1.0 h. Recently, more rapid actions of aldosterone that are ind

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Turayevich, Yunusov Oybek. "DETERMINATION OF THE MECHANISM OF HEMOSTATIC ACTION OF GEPROCELL IN AN EXPERIMENTAL MODEL OF HEAT INJURY." Frontline Medical Sciences and Pharmaceutical Journal 02, no. 03 (2022): 7–18. http://dx.doi.org/10.37547/medical-fmspj-02-03-02.

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In case of long-term non-healing wounds the skin defect persists for a long time, significant cicatricial and dystrophic changes occur in the surrounding tissues, there is no tendency for stable independent epithelialization. Therefore, surgical treatment of long-lasting wounds that do not heal has taken the leading place in pathogenetic therapy, and it is primarily autodermoplasty. Any wound with a diameter of more than 5 cm needs to be covered artificially with a flap or skin slices to achieve a lasting therapeutic effect and a good functional result. A wound can be closed with local tissue

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Hao, Zhanjun, Juan Niu, Xiaochao Dang, and Zhiqiang Qiao. "WiPg: Contactless Action Recognition Using Ambient Wi-Fi Signals." Sensors 22, no. 1 (2022): 402. http://dx.doi.org/10.3390/s22010402.

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Motion recognition has a wide range of applications at present. Recently, motion recognition by analyzing the channel state information (CSI) in Wi-Fi packets has been favored by more and more scholars. Because CSI collected in the wireless signal environment of human activity usually carries a large amount of human-related information, the motion-recognition model trained for a specific person usually does not work well in predicting another person’s motion. To deal with the difference, we propose a personnel-independent action-recognition model called WiPg, which is built by convolutional ne

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Plana, Deborah, Adam C. Palmer, and Peter K. Sorger. "Independent Drug Action in Combination Therapy: Implications for Precision Oncology." Cancer Discovery 12, no. 3 (2022): 606–24. http://dx.doi.org/10.1158/2159-8290.cd-21-0212.

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Abstract Combination therapies are superior to monotherapy for many cancers. This advantage was historically ascribed to the ability of combinations to address tumor heterogeneity, but synergistic interaction is now a common explanation as well as a design criterion for new combinations. We review evidence that independent drug action, described in 1961, explains the efficacy of many practice-changing combination therapies: it provides populations of patients with heterogeneous drug sensitivities multiple chances of benefit from at least one drug. Understanding response heterogeneity could rev

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Wong, W., P. Chen, Y. Chow, et al. "The relationship between pain coping variability and committed action in chronic pain adjustment." European Psychiatry 33, S1 (2016): S209. http://dx.doi.org/10.1016/j.eurpsy.2016.01.499.

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IntroductionResearch evidenced the association of pain coping strategies with short-term and long-term adjustments to chronic pain. Yet, previous studies mainly assessed the frequency of coping strategies when pain occurs whilst no data is available on one's flexibility/rigidity in using different pain coping strategies, i.e., pain coping variability, in dealing with different situations.ObjectivesThis study aimed to examine the multivariate association between pain coping variability and committed action in predicting concurrent pain-related disability. Specifically, we examined the independe

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Mohseni-Kabir, Anahita, Manuela Veloso, and Maxim Likhachev. "Efficient Robot Planning for Achieving Multiple Independent Partially Observable Tasks That Evolve over Time." Proceedings of the International Conference on Automated Planning and Scheduling 30 (June 1, 2020): 202–11. http://dx.doi.org/10.1609/icaps.v30i1.6662.

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We focus on domains where a robot is required to accomplish a set of tasks that are partially observable and evolve independently of each other according to their dynamics. An example domain is a restaurant setting where a robot waiter should take care of an ongoing stream of tasks, namely serving a number of tables, including delivering food to the tables and checking on customers. An action that the robot should take next at any point of time typically depends on the duration of possible actions, the state of each table, and how these tables evolve over time, e.g., the food becomes cold afte

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MONEMZADEH, M., V. NIKOOFARD, and R. RAMEZANI-ARANI. "HAMILTONIAN EMBEDDING OF EINSTEIN–HILBERT ACTION IN (1+1) DIMENSIONS." Modern Physics Letters A 26, no. 26 (2011): 1995–2006. http://dx.doi.org/10.1142/s0217732311036358.

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Canonical analysis of constraint structure of Einstein–Hilbert action in (1+1) dimensions possesses a mixed constrained model. By means of finite order BFT approach in the extended phase space, it converts to a fully gauge-invariant model. Embedded Hamiltonian in this extended phase space is independent of momenta similar to the classical Hamiltonian.

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Liu, Yaxin, Can Wang, Yan Liu, Wenlong Tong, and Ming Zhong. "Intention Reasoning for User Action Sequences via Fusion of Object Task and Object Action Affordances Based on Dempster–Shafer Theory." Sensors 25, no. 7 (2025): 1992. https://doi.org/10.3390/s25071992.

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To reduce the burden on individuals with disabilities when operating a Wheelchair Mounted Robotic Arm (WMRA), many researchers have focused on inferring users’ subsequent task intentions based on their “gazing” or “selecting” of scene objects. In this paper, we propose an innovative intention reasoning method for users’ action sequences by fusing object task and object action affordances based on Dempster–Shafer Theory (D-S theory). This method combines the advantages of probabilistic reasoning and visual affordance detection to establish an affordance model for objects and potential tasks or

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Kumar, Muthu. "Constructivist Epistemology in Action." Journal of Educational Thought / Revue de la Pensée Educative 40, no. 3 (2018): 247–62. http://dx.doi.org/10.55016/ojs/jet.v40i3.52544.

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In alignment with the challenges of knowledge-based economies of today, teachers are compelled to constantly revise traditional notions of learning in order to motivate students to find delight in the active creation, exploration, and discovery of disciplinary knowledge. In examining innovative philosophies of education, constructivism stands out as one much heralded alternative that has been widely promoted in recent times in attempts at moving away from old ways of instruction and their attendant limitations. By empowering learners to be self-directed, in theory, a learning model underpinned

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Attamimy, Helmy Bachtiar, and M. Bagus Qomaruddin. "APLIKASI HEALTH BELIEF MODEL PADA PERILAKU PENCEGAHAN DEMAM BERDARAH DENGUE." Jurnal PROMKES 5, no. 2 (2018): 245. http://dx.doi.org/10.20473/jpk.v5.i2.2017.245-255.

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Dengue fever is an acute fever disease that caused by dengue virus by the bite of mosquito of the genus aedes. In Indonesia, large number of dengue fever was fluctuatited every year, including East Java. One of large number cases is the Kediri. The effort of dengue fever preventions should have been comprehensive, including behavio factorsr. The aim know the relationship between the trust factor through effort of dengue fever preventions in the working area of Community Health Center Sukorame, Mojoroto, Kediri. This research uses quantitative approach that shaped descriptive analytic by correl

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Rorah, Ignatius Rolly Coun, Jelvi Monica Mangundap, and Ambrosius Markus Loho. "Etika Deontologi sebagai Model dalam Penerapannya pada Profesi Keperawatan." Indo-MathEdu Intellectuals Journal 4, no. 3 (2023): 2625–34. http://dx.doi.org/10.54373/imeij.v4i3.555.

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The ethics of the nursing profession is the main point that must be pursued by a nurse. The ethics of the nursing profession is important because it is something that nurses encounter all the time when they work in a health environment. From this simple fact, ethics also needs to be strictly understood because of the breadth of ethical theories that exist. Ethics is a science that seeks orientation, in the context of the nursing profession, ethics becomes a critical evaluation of every action of a nurse. Likewise, a nurse must have a professional attitude. In the context of writing this articl

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Juliana Juliana, Sakban Sakban, and Deprizon Deprizon. "Penerapan Model Pembelajaran Inkuiri Untuk Meningkatkan Karakter Kemandirian Peserta Didik Pada Mata Pelajaran Matematika Kelas III SDN 167 Pekanbaru." Pentagon : Jurnal Matematika dan Ilmu Pengetahuan Alam 2, no. 3 (2024): 08–14. http://dx.doi.org/10.62383/pentagon.v2i3.194.

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This research aims to determine the learning independence of class III students at SDN 167 Pekanbaru in mathematics learning before and after using inquiry strategies. This research is classroom action research using the Kemmis and Taggart method, namely (plan, action, observation and reflection). This research consists of 2 cycles, each with 2 meetings. Data collection techniques use observation, field notes and documentation. Data analysis uses quantitative and qualitative. Research results: In the Pre-Cycle, most students were in the Less Independent category. Entering Cycle I, there is a c

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Zhao, Hongyu, Wei Tian та David M. Cohen. "Rottlerin inhibits tonicity-dependent expression and action of TonEBP in a PKCδ-independent fashion". American Journal of Physiology-Renal Physiology 282, № 4 (2002): F710—F717. http://dx.doi.org/10.1152/ajprenal.00303.2001.

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Novel protein kinase C (PKC) isoforms PKCδ and PKCε have recently been implicated in signaling by hypertonic stress. We investigated the role of the putative PKCδ inhibitor rottlerin on tonicity-dependent gene regulation. In the renal medullary mIMCD3 cell line, rottlerin blocked tonicity-dependent transcription of a tonicity enhancer (TonE)-driven luciferase reporter gene, as well as tonicity-dependent transcription of the physiological tonicity effector gene aldose reductase, but not urea-dependent transcription. Consistent with these data, rottlerin inhibited tonicity-dependent expression o

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Tashjian, Sarah M., Toby Wise, and Dean Mobbs. "Model-based prioritization for acquiring protection." PLOS Computational Biology 18, no. 12 (2022): e1010805. http://dx.doi.org/10.1371/journal.pcbi.1010805.

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Protection often involves the capacity to prospectively plan the actions needed to mitigate harm. The computational architecture of decisions involving protection remains unclear, as well as whether these decisions differ from other beneficial prospective actions such as reward acquisition. Here we compare protection acquisition to reward acquisition and punishment avoidance to examine overlapping and distinct features across the three action types. Protection acquisition is positively valenced similar to reward. For both protection and reward, the more the actor gains, the more benefit. Howev

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Rodrigo, Maria J., Jan M. A. M. Janssens, and Esperanza Ceballos. "Reasoning and action complexity: Sources and consequences on maternal child-rearing behaviour." International Journal of Behavioral Development 25, no. 1 (2001): 50–59. http://dx.doi.org/10.1080/01650250042000069.

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In this study, two approaches of complexity of maternal thinking were examined: Newberger’s(1980) analysis of reasoning complexity, and Vallacher and Wegner’s (1985) analysis of action complexity, that was adapted to the parenting ” eld. Measures for action complexity and for maternal behaviours were derived from hypothetical child-rearing situations and from mother-child observed interactions. Links between reasoning and action complexity to child-rearing actions and to sources, such as socioeconomic status (SES) were explored in a Spanish sample of 60 mothers with a child 7 to 10 years old.

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Nguyen Sinh Huy, Le Thi Thu Hong, Nguyen Hoang Bach, et al. "Hand action recognition in rehabilitation exercise method using R(2+1)D deep learning network and interactive object information." Journal of Military Science and Technology, CSCE6 (December 30, 2022): 77–91. http://dx.doi.org/10.54939/1859-1043.j.mst.csce6.2022.77-91.

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Hand action recognition in rehabilitation exercises is to automatically recognize what exercises the patient has done. This is an important step in an AI system to assist doctors to handle, monitor and assess the patient’s rehabilitation. The expected system uses videos obtained from the patient's body-worn camera to recognize hand action automatically. In this paper, we propose a model to recognize the patient's hand action in rehabilitation exercises, which is a combination of the results of a deep learning network recognizing actions on Video RGB, R(2+1)D, and a main interactive object in t

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Snapper, C. M., and J. J. Mond. "A model for induction of T cell-independent humoral immunity in response to polysaccharide antigens." Journal of Immunology 157, no. 6 (1996): 2229–33. http://dx.doi.org/10.4049/jimmunol.157.6.2229.

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Abstract We provide a model for induction of T cell-independent, polysaccharide-specific Ig secretion in response to bacterial challenge. Two predominant pathways are defined that require the concerted action of multivalent membrane Ig cross-linking by the polysaccharide Ag with 1) various B cell-activating moieties contained within the bacterial pathogen and/or 2) cytokines, such as IFN-gamma and granulocyte-macrophage colony-stimulating factor produced by NK cells and macrophages, that become activated in a T cell-independent manner during bacterial infection.

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Xiao, Xiongjiang, Ziliang Ren, Huan Li, Wenhong Wei, Zhiyong Yang, and Huaide Yang. "SlowFast Multimodality Compensation Fusion Swin Transformer Networks for RGB-D Action Recognition." Mathematics 11, no. 9 (2023): 2115. http://dx.doi.org/10.3390/math11092115.

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RGB-D-based technology combines the advantages of RGB and depth sequences which can effectively recognize human actions in different environments. However, the spatio-temporal information between different modalities is difficult to effectively learn from each other. To enhance the information exchange between different modalities, we introduce a SlowFast multimodality compensation block (SFMCB) which is designed to extract compensation features. Concretely, the SFMCB fuses features from two independent pathways with different frame rates into a single convolutional neural network to achieve p

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Escher, Beate, Georg Braun, and Christiane Zarfl. "Exploring the Concepts of Concentration Addition and Independent Action Using a Linear Low‐Effect Mixture Model." Environmental Toxicology and Chemistry 39, no. 12 (2020): 2552–59. http://dx.doi.org/10.1002/etc.4868.

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Eshaghi, Arman, Rogier A. Kievit, Ferran Prados, et al. "Applying causal models to explore the mechanism of action of simvastatin in progressive multiple sclerosis." Proceedings of the National Academy of Sciences 116, no. 22 (2019): 11020–27. http://dx.doi.org/10.1073/pnas.1818978116.

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Understanding the mode of action of drugs is a challenge with conventional methods in clinical trials. Here, we aimed to explore whether simvastatin effects on brain atrophy and disability in secondary progressive multiple sclerosis (SPMS) are mediated by reducing cholesterol or are independent of cholesterol. We applied structural equation models to the MS-STAT trial in which 140 patients with SPMS were randomized to receive placebo or simvastatin. At baseline, after 1 and 2 years, patients underwent brain magnetic resonance imaging; their cognitive and physical disability were assessed on th

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Crotty, Patrick, Thomas Sangrey, and William B. Levy. "Metabolic Energy Cost of Action Potential Velocity." Journal of Neurophysiology 96, no. 3 (2006): 1237–46. http://dx.doi.org/10.1152/jn.01204.2005.

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The action potential of the unmyelinated nerve is metabolically expensive. Using the energetic cost per unit length for the biophysically modeled action potential of the squid giant axon, we analyze this cost and identify one possible optimization. The energetic cost arising from an action potential is divided into three separate components: 1) the depolarization of the rising phase; 2) the hyperpolarization of the falling phase; and 3) the largest component, the overlapping of positive and negative currents, which has no electrical effect. Using both the Hodgkin–Huxley (HH) model and an impro

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Yu, Xingrui, Bo Han, and Ivor W. Tsang. "USN: A Robust Imitation Learning Method against Diverse Action Noise." Journal of Artificial Intelligence Research 79 (April 21, 2024): 1237–80. http://dx.doi.org/10.1613/jair.1.15819.

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Learning from imperfect demonstrations is a crucial challenge in imitation learning (IL). Unlike existing works that still rely on the enormous effort of expert demonstrators, we consider a more cost-effective option for obtaining a large number of demonstrations. That is, hire annotators to label actions for existing image records in realistic scenarios. However, action noise can occur when annotators are not domain experts or encounter confusing states. In this work, we introduce two particular forms of action noise, i.e., state-independent and state-dependent action noise. Previous IL metho

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Salvio, Alberto. "A non-perturbative and background-independent formulation of quadratic gravity." Journal of Cosmology and Astroparticle Physics 2024, no. 07 (2024): 092. http://dx.doi.org/10.1088/1475-7516/2024/07/092.

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Abstract A non-perturbative and background-independent quantum formulation of quadratic gravity is provided. A canonical quantization procedure introduced in previous works, named after Dirac and Pauli, is here applied to quadratic gravity to obtain, as required by consistency, a well-defined Euclidean path integral. The theory is unitary: all probabilities are non negative and they sum up to one. We obtain path-integral expressions for the transition amplitudes, Green's functions and generic matrix elements of time-ordered products of the metric. As a byproduct, similar results are also obtai

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Hapsa, Usman, A. Djaha Zainuddin, and Farida Tuati Nonce. "Application of the Project Based Learning Model in Improving Creativity and Entrepreneurial Skills for Independent Entrepreneur Students at the Kupang Negeri Polytechnic Campus." International Journal of Current Science Research and Review 07, no. 02 (2024): 960–65. https://doi.org/10.5281/zenodo.10616661.

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Abstract : Implementation of the Independent Curriculum requires that lecturers carry out learning and teach students using a student-centered learning model. Project Based Learning (PjBL) is a studentcentered learning method. Entrepreneurship is a science that emphasizes attitudes and creativity, where creativity is a skill needed in the digital era. The Merdeka entrepreneurship program is one of the independent learning programs in the Merdeka learning curriculum at the Merdeka campus as a certified independent entrepreneurship development program to prepare individuals who are competent in

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Kiang, D., T. Ochiai, Y. P. Chan, and K. Young. "Geometric model for multiplicity distribution in nucleus–nucleus scattering." Canadian Journal of Physics 68, no. 1 (1990): 145–53. http://dx.doi.org/10.1139/p90-020.

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The distribution in the multiplicity of charged particles produced in 0 + Cu and 0 + Au collisions is explained quantitatively in terms of the independent action of several tubes of nuclear matter, with each tube obeying universal Koba–Nielsen–Olsen scaling. With only one parameter, this model fits the observed distribution extremely well and reproduces the reduced second moments for collisions of several different nuclei pairs. Predictions for S + S and Pb + Pb collisions are presented.

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Anastassakis, George, and Themis Panayiotopoulos. "A Transparent and Decentralized Model of Perception and Action for Intelligent Virtual Agents." International Journal on Artificial Intelligence Tools 23, no. 04 (2014): 1460020. http://dx.doi.org/10.1142/s0218213014600203.

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Intelligent virtual agent behaviour is a crucial element of any virtual environment application as it essentially brings the environment to life, introduces believability and realism and enables complex interactions and evolution over time. However, the development of mechanisms for virtual agent perception and action is neither a trivial nor a straight-forward task. In this paper we present a model of perception and action for intelligent virtual agents that meets specific requirements and can as such be systematically implemented, can seamlessly and transparently integrate with knowledge rep

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