Results for 'Adaptive combination'

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  1.  17
    Q: Is the cerebellum an adaptive combiner of motor and mental/motor activities? A: Yes, maybe, certainly not, who can say?W. Thomas Thach - 1996 - Behavioral and Brain Sciences 19 (3):501-528.
  2.  10
    Combining Observation and Physical Practice: Benefits of an Interleaved Schedule for Visuomotor Adaptation and Motor Memory Consolidation.Beverley C. Larssen, Daniel K. Ho, Sarah N. Kraeutner & Nicola J. Hodges - 2021 - Frontiers in Human Neuroscience 15.
    Visuomotor adaptation to novel environments can occur via non-physical means, such as observation. Observation does not appear to activate the same implicit learning processes as physical practice, rather it appears to be more strategic in nature. However, there is evidence that interspersing observational practice with physical practice can benefit performance and memory consolidation either through the combined benefits of separate processes or through a change in processes activated during observation trials. To test these ideas, we asked people to practice aiming (...)
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  3.  11
    Combining Neural and Behavioral Measures Enhances Adaptive Training.Md Lutfor Rahman, Benjamin T. Files, Ashley H. Oiknine, Kimberly A. Pollard, Peter Khooshabeh, Chengyu Song & Antony D. Passaro - 2022 - Frontiers in Human Neuroscience 16.
    Adaptive training adjusts a training task with the goal of improving learning outcomes. Adaptive training has been shown to improve human performance in attention, working memory capacity, and motor control tasks. Additionally, correlations have been observed between neural EEG spectral features and the performance of some cognitive tasks. This relationship suggests some EEG features may be useful in adaptive training regimens. Here, we anticipated that adding a neural measure into a behavioral-based adaptive training system would improve (...)
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  4.  9
    Recursive Combination Has Adaptability in Diversifiability of Production and Material Culture.Genta Toya & Takashi Hashimoto - 2018 - Frontiers in Psychology 9.
    It has been suggested that hierarchically structured symbols, a remarkable feature of human language, are produced via the operation of recursive combination. Recursive combination is frequently observed in human behavior, not only in language but also in action sequences, mind-reading, technology, et cetera.; in contrast, it is rarely observed in animals. Why is it that only humans use this operation? What is the adaptability of recursive combination? We aim (1) to identify the environmental feature(s) in which recursive (...)
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  5.  22
    An adaptive cue combination model of human spatial reorientation.Yang Xu, Terry Regier & Nora S. Newcombe - 2017 - Cognition 163 (C):56-66.
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  6.  17
    Combine Your “Will” and “Able”: Career Adaptability’s Influence on Performance.Xueyuan Gao, Xun Xin, Wenxia Zhou & Denise M. Jepsen - 2019 - Frontiers in Psychology 9.
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  7.  1
    Music's putative adaptive function hinges on a combination of distinct mechanisms.Bruno Gingras - 2021 - Behavioral and Brain Sciences 44.
    Music's efficacy as a credible signal and/or as a tool for social bonding piggybacks on a diverse set of biological and cognitive processes, implying different proximate mechanisms. It is likely this multiplicity of mechanisms that explains why it is so difficult to account for music's putative biological role, as well as its possible origins, by proposing a single adaptive function.
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  8.  7
    Spatial filter combination in human pattern vision: channel interactions revealed by adaptation.Tim S. Meese & Mark A. Georgeson - 1996 - In Enrique Villanueva (ed.), Perception. Ridgeview Pub. Co. pp. 25--3.
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  9. Eukaryotism and Symbiosis-Intertaxonic Combination versus Symbiotic Adaptation: By HEA Schenk, RG Herrmann, KW Jeon, NE Muller, and W. Schwemmler (Eds).P. J. Keeling - 1999 - Bioessays 21:449-450.
     
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  10. Combined Cognitive-Motor Rehabilitation in Virtual Reality Improves Motor Outcomes in Chronic Stroke – A Pilot Study.Ana L. Faria, Mónica S. Cameirão, Joana F. Couras, Joana R. O. Aguiar, Gabriel M. Costa & Sergi Bermúdez I. Badia - 2018 - Frontiers in Psychology 9:309844.
    Stroke is one of the most common causes of acquired disability, leaving numerous adults with cognitive and motor impairments, and affecting patients’ capability to live independently. Virtual Reality (VR) based methods for stroke rehabilitation have mainly focused on motor rehabilitation but there is increasing interest toward the integration of cognitive training for providing more effective solutions. Here we investigate the feasibility for stroke recovery of a virtual cognitive-motor task, the Reh@Task, which combines adapted arm reaching, and attention and memory training. (...)
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  11.  11
    Adaptive Robust Dynamic Surface Integral Sliding Mode Control for Quadrotor UAVs under Parametric Uncertainties and External Disturbances.Ye Zhang, Ning Xu, Guoqiang Zhu, Lingfang Sun, Shengxian Cao & Xiuyu Zhang - 2020 - Complexity 2020:1-20.
    A robust adaptive fuzzy nonlinear controller based on dynamic surface and integral sliding mode control strategy is proposed to realize trajectory tracking for a class of quadrotor UAVs. In this study, the composite factors including parametric uncertainties and external disturbances are added to controller design, which make it more realistic. The quadrotor model is divided into two subsystems of attitude and position that make the control design become feasible. The main contributions of the proposed ADSISMC strategy are as follows: (...)
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  12.  73
    Adaptive Ideals and Aspirational Goals: The Utopian Ideals and Realist Constraints of Climate Change Adaptation.Patrik Baard - 2015 - Journal of Agricultural and Environmental Ethics 28 (4):739-757.
    There is a growing need to implement anticipatory climate change adaptation measures, particularly in vulnerable sectors, such as in agriculture. However, setting goals to adapt is wrought with several challenges. This paper discusses two sets of challenges to goals of anticipatory adaptation, of empirical and normative character. The first set of challenges concern issues such as the extent to which the climate will change, the local impacts of such changes, and available adaptive responses. In the second set of uncertainties (...)
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  13.  7
    Turning the Page on Pen-and-Paper Questionnaires: Combining Ecological Momentary Assessment and Computer Adaptive Testing to Transform Psychological Assessment in the 21st Century.Chris J. Gibbons - 2017 - Frontiers in Psychology 7.
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  14.  71
    Whither adaptation?Andrew P. Hendry & Andrew Gonzalez - 2008 - Biology and Philosophy 23 (5):673-699.
    The two authors of this paper have diametrically opposed views of the prevalence and strength of adaptation in nature. Hendry believes that adaptation can be seen almost everywhere and that evidence for it is overwhelming and ubiquitous. Gonzalez believes that adaptation is uncommon and that evidence for it is ambiguous at best. Neither author is certifiable to the knowledge of the other, leaving each to wonder where the other has his head buried. Extensive argument has revealed that each author thinks (...)
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  15.  8
    Adaptive Fixed-Time Trajectory Tracking Control for Underactuated Hovercraft with Prescribed Performance in the Presence of Model Uncertainties.Mingyu Fu, Tan Zhang, Fuguang Ding & Duansong Wang - 2021 - Complexity 2021:1-18.
    This paper develops an adaptive fixed-time trajectory tracking controller of an underactuated hovercraft with a prescribed performance in the presence of model uncertainties and unknown time-varying environment disturbances. It is the first time that the proposed method is applied to the motion control of the hovercraft. To begin with, based on the hovercraft's four degrees of freedom model, the virtual control laws are designed using an error transforming function and the fixed-time stability theory to guarantee that the position tracking (...)
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  16.  27
    Adaptive social learning strategies in temporally and spatially varying environments.Wataru Nakahashi, Joe Yuichiro Wakano & Joseph Henrich - 2012 - Human Nature 23 (4):386-418.
    Long before the origins of agriculture human ancestors had expanded across the globe into an immense variety of environments, from Australian deserts to Siberian tundra. Survival in these environments did not principally depend on genetic adaptations, but instead on evolved learning strategies that permitted the assembly of locally adaptive behavioral repertoires. To develop hypotheses about these learning strategies, we have modeled the evolution of learning strategies to assess what conditions and constraints favor which kinds of strategies. To build on (...)
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  17.  7
    Adaptive Algorithm Recommendation and Application of Learning Resources in English Fragmented Reading.Jinyu Cheng & Hong Wang - 2021 - Complexity 2021:1-11.
    This paper firstly designs a five-dimensional model of learners’ characteristics and a three-dimensional model of English reading resources’ characteristics in a fragmented learning environment through literature research. At the same time, to make the learning resources meet the characteristics of fragmented learning time and space, the English Level 4 reading resources are reasonably designed and segmented to adapt to the needs of learners’ mobile fragmented learning. Then, combined with machine learning algorithms, an adaptive recommendation model of learning resources in (...)
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  18.  22
    Demographic contexts and the adaptive role of mother-infant attachment.Andrea S. Wiley & Leslie C. Carlin - 1999 - Human Nature 10 (2):135-161.
    Currently much debate surrounds the significance of cross-cultural variation in mother-infant attachment. Is only one form of attachment “healthy,” or are different types of attachment adaptations to local socioecological conditions? Juvenile mortality rates have been promoted as important features of local environments that shape attachment, which in turn affects later reproductive strategies. To this we add fertility. Fertility changes the environment of a child by influencing the number of potential caregivers and competitors for care, and the cultural ethos regarding the (...)
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  19.  19
    Hierarchic adaptive logics.Frederik Van De Putte - 2012 - Logic Journal of the IGPL 20 (1):45-72.
    This article discusses the proof theory, semantics and meta-theory of a class of adaptive logics, called hierarchic adaptive logics. Their specific characteristics are illustrated throughout the article with the use of one exemplary logic HKx, an explicans for reasoning with prioritized belief bases. A generic proof theory for these systems is defined, together with a less complex proof theory for a subclass of them. Soundness and a restricted form of completeness are established with respect to a non-redundant semantics. (...)
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  20.  11
    Adaptive Gaussian Incremental Expectation Stadium Parameter Estimation Algorithm for Sports Video Analysis.Lizhi Geng - 2021 - Complexity 2021:1-10.
    In this paper, we propose an adaptive Gaussian incremental expectation stadium parameter estimation algorithm for sports video analysis and prediction through the study and analysis of sports videos. The features with more discriminative power are selected from the set of positive and negative templates using a feature selection mechanism, and a sparse discriminative model is constructed by combining a confidence value metric strategy. The sparse generative model is constructed by combining L1 regularization and subspace representation, which retains sufficient representational (...)
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  21.  10
    Adaptive Algorithms for Meta-Induction.Ronald Ortner - 2023 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 54 (3):433-450.
    Work in online learning traditionally considered induction-friendly (e.g. stochastic with a fixed distribution) and induction-hostile (adversarial) settings separately. While algorithms like Exp3 that have been developed for the adversarial setting are applicable to the stochastic setting as well, the guarantees that can be obtained are usually worse than those that are available for algorithms that are specifically designed for stochastic settings. Only recently, there is an increasing interest in algorithms that give (near-)optimal guarantees with respect to the underlying setting, even (...)
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  22.  35
    The Adaptation of Man as a Socio-Natural Problem.Ekaterina V. Petrova - 2008 - Dialogue and Universalism 18 (11-12):151-162.
    Man is a biosocial entity, so, in the study of his adaptive peculiarities two directions, that is, biologic and social, can be determined. Within the biological framework it is possible to combine evolutionary, genetic, medical-biological and ecological investigations. Recently, the problem of man’s adaptation to profound changes taking place in the environment, under the impact of man’s activity, becomes of growing importance. The second direction of the man adaptation research may be called social or socio-cultural. In the course of (...)
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  23.  13
    Adaptive Panoramic Video Multicast Streaming with Limited FoV Feedback.Jie Li, Ling Han, Cong Zhang, Qiyue Li & Weitao Li - 2020 - Complexity 2020:1-14.
    Virtual reality provides an immersive 360-degree viewing experience and has been widely used in many areas. However, the transmission of panoramic video usually places a large demand on bandwidth; thus, it is difficult to ensure a reliable quality of experience under a limited bandwidth. In this paper, we propose a field-of-view prediction methodology based on limited FoV feedback that can fuse the heat map and FoV information to generate a user view. The former is obtained through saliency detection, while the (...)
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  24.  11
    Adaptive Logics for Defeasible Reasoning: Applications in Argumentation, Normative Reasoning and Default Reasoning.Christian Strasser - 2013 - Cham, Switzerland: Springer.
    This book presents adaptive logics as an intuitive and powerful framework for modeling defeasible reasoning. It examines various contexts in which defeasible reasoning is useful and offers a compact introduction into adaptive logics. The author first familiarizes readers with defeasible reasoning, the adaptive logics framework, combinations of adaptive logics, and a range of useful meta-theoretic properties. He then offers a systematic study of adaptive logics based on various applications. The book presents formal models for defeasible (...)
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  25.  10
    Combining Conformist and Payoff Bias in Cultural Evolution.Ze Hong - 2022 - Human Nature 33 (4):463-484.
    Most research on transmission biases in cultural evolution has treated different biases as distinct strategies. Here I present a model that combines both frequency dependent bias (including conformist bias) and payoff bias in a single decision-making calculus and show that such an integrated learning strategy may be superior to relying on either bias alone. Natural selection may operate on humans’ relative dependence on frequency and payoff information, but both are likely to contribute to the spread of variants with high payoffs. (...)
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  26.  4
    Rational deliberation versus behavioural adaptation theoretical perspectives and experimental evidence.S. Guth & W. Guth - 2000 - Journal of Consciousness Studies 7 (1-2):1-2.
    Whereas Brian Skyrms in his chapter views rationality and evolution as alternative ways to derive decision behaviour, indirect evolution allows us to combine the two approaches. By focussing on Skyrms’ examples it will be illustrated how optimal decisions for given rules of interaction can influence the future rules of interaction. Here evolution does not determine behaviour directly, but only indirectly via the rules. We, furthermore, report on an experiment, related to Skyrms’ examples, revealing effects of deliberation in the sense of (...)
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  27. Adaptable Rooms, Virtual Collaboration and Cognitive Workflow.David Kirsh - 1998 - Lecture Notes in Computer Science.
    This paper introduces the concept of Adaptive Rooms, which are virtual environments able to dynamically adapt to users’ needs, including ‘physical’ and cognitive workflow requirements, number of users, differing cognitive abilities and skills. Adaptive rooms are collections of virtual objects, many of them self-transforming objects, housed in an architecturally active room with information spaces and tools. An ontology of objects used in adap- tive rooms is presented. Virtual entities are classified as passive, reactive, ac- tive, and information entities, (...)
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  28. Adaptable Rooms, Virtual Collaboration and Cognitive Workflow.David Kirsh - 1998 - Cooperative Buildings - Integrating Information, Organization, and Architecture.
    This paper introduces the concept of Adaptive Rooms, which are virtual environments able to dynamically adapt to users’ needs, including ‘physical’ and cognitive workflow requirements, number of users, differing cognitive abilities and skills. Adaptive rooms are collections of virtual objects, many of them self-transforming objects, housed in an architecturally active room with information spaces and tools. An ontology of objects used in adap- tive rooms is presented. Virtual entities are classified as passive, reactive, ac- tive, and information entities, (...)
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  29.  17
    Adaptation and Information in Ontogenesis and Phylogenesis. Increase of Complexity and Efficiency.Giovanni Felice Azzone - 1997 - History and Philosophy of the Life Sciences 19 (2):163-180.
    Adaptations during phylogenesis or ontogenesis can occur either by maintaning constant or by increasing the informational content of the organism. In the former case the increasing adaptations to external perturbation are achieved by increasing the rate of genome replication; the increased amount of DNA reflects an increase of total but not of law informational content. In the latter case the adaptations are achieved by either istructionist or evolutionary mechanism or a combination of both. Evolutionary adaptations occur during ontogenesis mainly (...)
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  30.  12
    Adaptive graph Laplacian MTL L1, L2 and LS-SVMs.Carlos Ruiz, Carlos M. Alaíz & José R. Dorronsoro - forthcoming - Logic Journal of the IGPL.
    Multi-Task Learning tries to improve the learning process of different tasks by solving them simultaneously. A popular Multi-Task Learning formulation for SVM is to combine common and task-specific parts. Other approaches rely on using a Graph Laplacian regularizer. Here we propose a combination of these two approaches that can be applied to L1, L2 and LS-SVMs. We also propose an algorithm to iteratively learn the graph adjacency matrix used in the Laplacian regularization. We test our proposal with synthetic and (...)
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  31.  20
    An Adaptive Parallel Method for Indexing Transportation Moving Objects.Kun-lun Chen, Chuan-wen Li, Guang Lu, Jia-Quan Li & Tong Zhang - 2021 - Complexity 2021:1-11.
    Transportation cyber-physical systems are constrained by spatiality and real-time because of their high level of heterogeneity. Therefore, applications like traffic control generally manage moving objects in a single-machine multithreaded manner, whereas suffering from frequent locking operations. To address this problem and improve the throughput of moving object databases, we propose a GPU-accelerated indexing method, based on a grid data structure, combined with quad-trees. We count object movements and decide whether a particular node should be split or be merged on the (...)
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  32.  6
    Do Flipped Learning and Adaptive Instruction Improve Student Learning Outcome? A Case Study of a Computer Programming Course in Taiwan.Hong-Ren Chen & Wen-Chiao Hsu - 2022 - Frontiers in Psychology 12.
    Flipped learning could improve the learning effectiveness of students. However, some studies have pointed out the limitations related to flipped classrooms because the content of the flipped course does not vary according to the needs of the students. On the other hand, adaptive teaching, which customizes the learning mode according to the individual needs of students, can make up for some of the shortcomings of flipped teaching. This study combines adaptive teaching with flipped teaching and applies it to (...)
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  33.  36
    Dynamic Learning from Adaptive Neural Control of Uncertain Robots with Guaranteed Full-State Tracking Precision.Min Wang, Yanwen Zhang & Huiping Ye - 2017 - Complexity 2017:1-14.
    A dynamic learning method is developed for an uncertain n-link robot with unknown system dynamics, achieving predefined performance attributes on the link angular position and velocity tracking errors. For a known nonsingular initial robotic condition, performance functions and unconstrained transformation errors are employed to prevent the violation of the full-state tracking error constraints. By combining two independent Lyapunov functions and radial basis function neural network approximator, a novel and simple adaptive neural control scheme is proposed for the dynamics of (...)
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  34.  17
    Evolutionary Reinforcement Learning for Adaptively Detecting Database Intrusions.Seul-Gi Choi & Sung-Bae Cho - 2020 - Logic Journal of the IGPL 28 (4):449-460.
    Relational database management system is the most popular database system. It is important to maintain data security from information leakage and data corruption. RDBMS can be attacked by an outsider or an insider. It is difficult to detect an insider attack because its patterns are constantly changing and evolving. In this paper, we propose an adaptive database intrusion detection system that can be resistant to potential insider misuse using evolutionary reinforcement learning, which combines reinforcement learning and evolutionary learning. The (...)
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  35.  10
    Adaptive normalization for IPW estimation.Johan Ugander & Samir Khan - 2023 - Journal of Causal Inference 11 (1).
    Inverse probability weighting (IPW) is a general tool in survey sampling and causal inference, used in both Horvitz–Thompson estimators, which normalize by the sample size, and Hájek/self-normalized estimators, which normalize by the sum of the inverse probability weights. In this work, we study a family of IPW estimators, first proposed by Trotter and Tukey in the context of Monte Carlo problems, that are normalized by an affine combination of the sample size and a sum of inverse weights. We show (...)
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  36.  29
    Fuzzy Adaptive Compensation Control for Uncertain Building Structural Systems by Sliding-Mode Technology.Houyao Zhu, Zicong Chen, Jianhui Wang, Yunchang Huang, Wenli Chen, Zheng Huang & Huaqi Zhao - 2018 - Complexity 2018:1-6.
    Earthquake is a kind of natural disaster, which will have a great impact on the building structure. In the vibration control field of building structures, the timeliness of system stability is extremely important. In traditional control methods, the timeliness is not paid enough attention for systems with uncertain seismic waves. For setting this problem, fuzzy adaptive compensation control for uncertain building structural systems by sliding-mode technology is proposed. It is combined with fuzzy adaptive control and sliding-mode control to (...)
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  37.  10
    Non-verbal Adaptation to the Interlocutors' Inner Characteristics: Relevance, Challenges, and Future Directions.Valerie Carrard - 2021 - Frontiers in Psychology 12.
    Human diversity cannot be denied. In our everyday social interactions, we constantly experience the fact that each individual is a unique combination of characteristics with specific cultural norms, roles, personality, and mood. Efficient social interaction thus requires an adaptation of communication behaviors to each specific interlocutor that one encounters. This is especially true for non-verbal communication that is more unconscious and automatic than verbal communication. Consequently, non-verbal communication needs to be understood as a dynamic and adaptive process in (...)
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  38.  21
    “The Gaze Heuristic:” Biography of an Adaptively Rational Decision Process.Robert P. Hamlin - 2017 - Topics in Cognitive Science 9 (2):264-288.
    This article is a case study that describes the natural and human history of the gaze heuristic. The gaze heuristic is an interception heuristic that utilizes a single input repeatedly as a task is performed. Its architecture, advantages, and limitations are described in detail. A history of the gaze heuristic is then presented. In natural history, the gaze heuristic is the only known technique used by predators to intercept prey. In human history the gaze heuristic was discovered accidentally by Royal (...)
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  39.  11
    Toward an Adapted Neurofeedback for Post-stroke Motor Rehabilitation: State of the Art and Perspectives.Salomé Le Franc, Gabriela Herrera Altamira, Maud Guillen, Simon Butet, Stéphanie Fleck, Anatole Lécuyer, Laurent Bougrain & Isabelle Bonan - 2022 - Frontiers in Human Neuroscience 16.
    Stroke is a severe health issue, and motor recovery after stroke remains an important challenge in the rehabilitation field. Neurofeedback, as part of a brain–computer interface, is a technique for modulating brain activity using on-line feedback that has proved to be useful in motor rehabilitation for the chronic stroke population in addition to traditional therapies. Nevertheless, its use and applications in the field still leave unresolved questions. The brain pathophysiological mechanisms after stroke remain partly unknown, and the possibilities for intervention (...)
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  40.  13
    A Combined Prediction Model for Hog Futures Prices Based on WOA-LightGBM-CEEMDAN.Xiang Wang, Shen Gao, Yibin Guo, Shiyu Zhou, Yonghui Duan & Daqing Wu - 2022 - Complexity 2022:1-15.
    An integrated hog futures price forecasting model based on whale optimization algorithm, LightGBM, and Complete Ensemble Empirical Mode Decomposition with Adaptive Noise is proposed to overcome the limitations of a single machine learning model with low prediction accuracy and insufficient model stability. The simulation process begins with a grey correlation analysis of the hog futures price index system in order to identify influencing factors; after that, the WOA-LightGBM model is developed, and the WOA algorithm is used to optimize the (...)
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  41.  31
    Sex or no sex: Evolutionary adaptation occurs regardless.Michael F. Seidl & Bart P. H. J. Thomma - 2014 - Bioessays 36 (4):335-345.
    All species continuously evolve to adapt to changing environments. The genetic variation that fosters such adaptation is caused by a plethora of mechanisms, including meiotic recombination that generates novel allelic combinations in the progeny of two parental lineages. However, a considerable number of eukaryotic species, including many fungi, do not have an apparent sexual cycle and are consequently thought to be limited in their evolutionary potential. As such organisms are expected to have reduced capability to eliminate deleterious mutations, they are (...)
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  42.  22
    Basic Relevant Theories for Combinators at Levels I and II.Koushik Pal & Robert K. Meyer - 2005 - Australasian Journal of Logic 3:14-32.
    The system B+ is the minimal positive relevant logic. B+ is trivially extended to B+T on adding a greatest truth (Church constant) T. If we leave ∨ out of the formation apparatus, we get the fragment B∧T. It is known that the set of ALL B∧T theories provides a good model for the combinators CL at Level-I, which is the theory level. Restoring ∨ to get back B+T was not previously fruitful at Level-I, because the set of all B+T theories (...)
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  43.  6
    Broad-RBFNN-Based Intelligence Adaptive Antidisturbance Formation Control for a Class of Cluster Aerospace Unmanned Systems with Multiple High-Dynamic Uncertainties.Erxin Gao, Xin Ning, Zheng Wang & Xiaokui Yue - 2021 - Complexity 2021:1-12.
    This paper investigates the antidisturbance formation control problem for a class of cluster aerospace unmanned systems suffering from multisource high-dynamic uncertainties. Firstly, to estimate and compensate the uncertainties existing in CAUS coordinate dynamics, an adaptive antidisturbance formation control law, which is combined by a robust adaptive control law and the second order disturbance observer, has been designed. Secondly, aiming at the adverse influences caused by the nonlinear time-varying nonlinearities existing in the formation flight dynamics, the radial basis function (...)
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  44.  13
    Application of Adaptive Image Restoration Algorithm Based on Sparsity of Block Structure in Environmental Art Design.Bo Liang, Xin-xin Jia & Yuan Lu - 2021 - Complexity 2021:1-16.
    Image restoration is a research hotspot in computer vision and computer graphics. It uses the effective information in the image to fill in the information of the designated damaged area. This has high application value in environmental design, film and television special effects production, old photo restoration, and removal of text or obstacles in images. In traditional sparse representation image restoration algorithms, the size of dictionary atoms is often fixed. When repairing the texture area, the dictionary atom will be too (...)
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  45.  10
    Long-Term BCI Training of a Tetraplegic User: Adaptive Riemannian Classifiers and User Training.Camille Benaroch, Khadijeh Sadatnejad, Aline Roc, Aurélien Appriou, Thibaut Monseigne, Smeety Pramij, Jelena Mladenovic, Léa Pillette, Camille Jeunet & Fabien Lotte - 2021 - Frontiers in Human Neuroscience 15:635653.
    While often presented as promising assistive technologies for motor-impaired users, electroencephalography (EEG)-based Brain-Computer Interfaces (BCIs) remain barely used outside laboratories due to low reliability in real-life conditions. There is thus a need to design long-term reliable BCIs that can be used outside-of-the-lab by end-users, e.g., severely motor-impaired ones. Therefore, we propose and evaluate the design of a multi-class Mental Task (MT)-based BCI for longitudinal training (20 sessions over 3 months) of a tetraplegic user for the CYBATHLON BCI series 2019. In (...)
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  46.  8
    Cultures of uneven and combined development: from international relations to world literature.James Christie & Nesrin Degirmencioglu (eds.) - 2019 - Boston: Brill.
    Cultures of Uneven and Combined Development seeks to explore and develop Leon Trotsky's concept of uneven and combined development. In particular, it aims to adapt the political and historical analysis which originated in Trotsky's Russia for use within the contemporary field of world literature. As such, it draws together the work of scholars from both the field of international relations and the field of literature and the arts. This collection will therefore be of particular interest to anyone who is interested (...)
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  47.  11
    Revising Cognitive and Evolutionary Science of Religion : Religion as an Adaptation.Konrad Szocik & Hans Van Eyghen - 2021 - Springer Verlag.
    This unique and pioneering book critically appraises current work from both the cognitive science of religion and the evolutionary study of religion. It addresses the question: Why does the believer possess supernatural or religious beliefs in the combined context of his cognitive biases, their adaptive usefulness measured in terms of survival and reproduction, and the impact of social learning and cultural traits? The authors outlines a pluralistic approach to the study of religion that does not treat religion as an (...)
  48.  13
    Detection and Adaptive Video Processing of Hyperopia Scene in Sports Video.Qingjie Chen & Minkai Dong - 2021 - Complexity 2021:1-13.
    In the research of motion video, the existing target detection methods are susceptible to changes in the motion video scene and cannot accurately detect the motion state of the target. Moving target detection technology is an important branch of computer vision technology. Its function is to implement real-time monitoring, real-time video capture, and detection of objects in the target area and store information that users are interested in as an important basis for exercise. This article focuses on how to efficiently (...)
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  49.  19
    Linking Sustainable Business Models to Socio-Ecological Resilience Through Cross-Sector Partnerships: A Complex Adaptive Systems View.Rob Lubberink, Jonatan Pinkse & Domenico Dentoni - 2021 - Business and Society 60 (5):1216-1252.
    A flourishing literature assesses how sustainable business models create and capture value in socio-ecological systems. Nevertheless, we still know relatively little about how the organization of sustainable business models—of which cross-sector partnerships represent a core and distinctive mechanism—can support socio-ecological resilience. We address this knowledge gap by taking a complex adaptive systems (CAS) perspective. We develop a framework that identifies the key strategic, institutional, and learning elements of partnerships that sustainable business models rely on to support socio-ecological resilience. With (...)
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  50. Climate Justice and Capabilities: A Framework for Adaptation Policy.David Schlosberg - 2012 - Ethics and International Affairs 26 (4):445-461.
    This article lays out a capabilities and justice-based approach to the development of adaptation policy. While many theories of climate justice remain focused on ideal theories for global mitigation, the argument here is for a turn to just adaptation, using a capabilities framework to encompass vulnerability, social recognition, and public participation in policy responses. This article argues for a broadly defined capabilities approach to climate justice, combining a recognition of the vulnerability of basic needs with a process for public involvement. (...)
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