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38861
Self-adaptive differential evolution algorithm based on population state information
Published 2023-06-01“…The local optimum and stagnation state information of the population seriously affects the performance of differential evolution (DE) algorithm.An advanced DE algorithm with population state processing measures was proposed to address the above two issues.When the population falled into the local optimum, the individuals in the population were learned randomly by LBFGS method to improve the global quality of the solution, and Gaussian mutation was employed to trigger new individuals to jump out of local optimum.As for the stagnation state, the covariance matrix of the population was applied to reorganize the target individuals based on the rotation of the spatial coordinates to suppress the stagnation state of the population and enhance the global search ability of the algorithm.In addition, a new selection strategy was designed, which built an external archive to store abandoned individuals after greedy selection.When the trial individual was inferior to the target individual, the algorithm no longer generated the next generation with greedy selection strategy, but made reasonable intelligent selection around the external archive to ensure that the algorithm converges to the global optimum.Compared with eight state-of-the-art DE algorithms on 29 benchmark functions, the experimental results show that the proposed algorithm has better performance in terms of the solution accuracy and convergence speed.…”
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38862
Simulation Study of Sensitivity Performance of MEMS Capacitive Bending Strain Sensor for Spinal Fusion Monitoring
Published 2012-01-01“…This study evaluates the sensitivity of microelectromechanical system (MEMS) capacitive bending strain sensor with a double layer cantilever designed to meet the requirements of spinal fusion monitoring. …”
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38863
Optimizing Medical Enterprise’s Operations Management considering Corporate Social Responsibility under Industry 5.0
Published 2021-01-01“…An improved variable neighborhood tabu search (IVNTS) algorithm which combines the variable neighborhood tabu search (VNTS) algorithm and simulated annealing (SA) algorithm is designed to solve the model, and numerical experiments are analyzed to verify the effectiveness of the proposed IVNTS. …”
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38864
THINKING MAPS - AN EFFECTIVE VISUAL STRATEGY EFL/ESL FOR LEARNERS IN 21ST CENTURY LEARNING
Published 2018-09-01“…Thinking Maps is a language of eight visual patterns, each based on a fundamental thought process, designed by Dr. David N. Hyerle. Looking at to the demands in teaching English, educators need to consider Thinking Maps to their English instruction. …”
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38865
Predicting coefficient of volume compressibility of fine-grained soils using appropriate soil type and soil state parameters
Published 2025-01-01“…To overcome this limitation of existing correlation equations to predict m v , a simple and reliable method that can be universally applied with appropriate soil type parameter represented by the Shrinkage Index (Liquid Limit-Shrinkage Limit) and soil state parameter represented by standardized SPT N 60 has been proposed. This model is designed to be universally applicable, serving as a valuable tool for practicing engineers and researchers to predict m v .…”
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38866
Transport emission modelling based on a bottom-up approach to facilitate sustainable transport planning
Published 2025-06-01“…Modelling road transport emissions is critical in designing sustainable policies. Traditional emission models follow a top-down approach by distributing the emissions for a region based on the vehicle stock. …”
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38867
L’anaphore en THE, mode d’accommodation dans la presse généraliste et d’intérêt spécialisé des États-Unis.
Published 2017-11-01“…When the referent is the main topic of an article, anaphors build designation paradigms that enhance cohesion. Conversely, when the referent is a secondary topic, anaphors make it possible to background information, while providing all the elements that may be necessary to understand the article.…”
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38868
Numerical simulation of dynamic processes during operation of emergency brake of tunnel escalators
Published 2024-12-01“…The emergency brake is an essential element of the escalator safety system, designed to prevent the negative consequences of emergency situations. …”
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38869
Flexural behavior of delta and bi-delta cold-formed steel beams: experimental investigation and numerical analysis
Published 2022-07-01“…The properties of this type of sections are most often based on the method involving the effective width designated by the Eurocode 3 standard. A nonlinear analysis by finite elements (FE) using the ABAQUS calculation program is carried out, thus making it possible to compare the experimental results with the numerical ones as well as those which are given by the theory proposed by Eurocode 3. …”
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38870
CORPORATE SOCIAL RESPONSIBILITY AND ORGANIZATIONAL PERFORMANCE: EVIDENCE FROM NIGERIAN BANKS
Published 2023-11-01“…A structured closed ended questionnaire was also designed; copies of which were administered to solicit opinions from the sampled population of the study. …”
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38871
Produits de terroir ou système agricole ? Patrimonialisation de l’alimentation en Amazonie brésilienne
Published 2019-12-01“…Following the requests of the local Amerindian associations, our collaborative research finally led to the designation as heritage, by the Brazilian Institute of the National Historical and Artistic Heritage, of the regional agricultural system, including the food system and its associated material culture. …”
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38872
Machine learning-based analyzing earthquake-induced slope displacement.
Published 2025-01-01“…Accurately evaluating earthquake-induced slope displacement is a key factor for designing slopes that can effectively respond to seismic activity. …”
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38873
Data augmentation scheme for federated learning with non-IID data
Published 2023-01-01“…To solve the problem that the model accuracy remains low when the data are not independent and identically distributed (non-IID) across different clients in federated learning, a privacy-preserving data augmentation scheme was proposed.Firstly, a data augmentation framework for federated learning scenarios was designed.All clients generated synthetic samples locally and shared them with each other, which eased the problem of client drift caused by the difference of clients’ data distributions.Secondly, based on generative adversarial network and differential privacy, a private sample generation algorithm was proposed.It helped clients to generate informative samples while preserving the privacy of clients’ local data.Finally, a differentially private label selection algorithm was proposed to ensure the labels of synthetic samples will not leak information.Simulation results demonstrate that under multiple non-IID data partition strategies, the proposed scheme can consistently improve the model accuracy and make the model converge faster.Compared with the benchmark approaches, the proposed scheme can achieve at least 25% accuracy improvement when each client has only one class of samples.…”
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38874
A New Climate vulnerability Index Sistan and Baluchistan province
Published 2015-06-01“…Vulnerability reduction depends on adaptation policy and strategies. Designing and assessing these strategies require climate vulnerability (CV) measuring. …”
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38875
Social and Cultural Influences on Management for Carbon Sequestration on US Family Forestlands: A Literature Synthesis
Published 2010-01-01“…However, little is known about social and cultural influences on owners' willingness to manage for carbon and respond to policies designed to encourage carbon-oriented management. We review the published literature to examine how family forest owners' values, ecological knowledge, risk perceptions, and forest management and policy preferences may affect their interest in managing for carbon sequestration. …”
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38876
Research and development of thick plate shape prediction system based on industrial big data
Published 2021-09-01“…Thick plate shape is one of the important indicators to measure the quality of thick plate products.The timely prediction of the final plate shape in production is of great significance for adjusting the operation and control of thick plate production.In actual industrial production, thick plate data has many characteristics, such as multiple coupling information, large amount of redundant information, and multi-source heterogeneity of data.Combining the needs of thick plate shape prediction, a thick plate shape prediction system was designed and developed.The data dump function was used to filter and preprocess the industrial big data to remove the coupling information and redundant variables in the data.LSTM neural network, convolutional neural network and 3D convolutional neural network were used to extract data features from data of different dimensions, and the features were fused based on the maximum mutual information coefficient to establish an integrated learning prediction model, which effectively solved the modeling difficulties caused by multi-source heterogeneous data.The actual industrial data of a domestic thick plate production line was used for verification, and the results showed the effectiveness of the developed system.…”
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38877
Stem cells in Osteoporosis: From Biology to New Therapeutic Approaches
Published 2019-01-01“…At present, available drug therapy for osteoporosis primarily targets the inhibition of bone resorption and agents that promote bone mineralization, designed to slow disease progression. Safe and predictable pharmaceutical means to increase bone formation have been elusive. …”
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38878
PROHIBITIONS OF TRAVEL IN HADITHS: BETWEEN CAUSE AND WISDOM
Published 2025-01-01“…It specifically aimed to determine whether the prophetic narrations have provided justifications for prohibiting a woman's travel without a designated male guardian ((وصي. Besides, it aimed to understand the interpretations of jurists (Imams) regarding the ruling on a male guardian accompanying a woman in her travel. …”
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38879
Fusing subjective and objective factors:a dynamic approach to evaluating reputation for IoT search
Published 2015-12-01“…Compared with the traditional Internet search,IoT search data center needs a higher data quality.In order to effectively motivate data owners to continuously provide higher quality data,the center needs pay the corresponding rewards to them according to the quality of data (QoD).As a result,QoD and the trustworthy evaluation become a basic problem for the development of IoT search.To address this problem and support data selection of IoT center,a dynamic reputation model was proposed to comprehensively assess the reputation of data owners.In detail,first,an approach to assessing the subjective and objective quality was proposed and mechanism of interactive discount and reputation attenuation was designed.Then,fusing subjective and objective factors,a novel dynamic reputation evaluation scheme was presented.Last,in order to get constraint relation of interaction times,discount,payment price,and data cost,an economic analysis based on signaling game was conducted.Experiment results show that the proposed approach can reflect dynamic change of QoD effectively,and provide the basis for data selection.It also can be adapted to real-time and dynamic of IoT search.…”
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38880
Ultrawideband LNA 1960–2019: Review
Published 2021-11-01“…This article specifically studies the challenges and solutions of designing UWB LNA by reviewing topologies and techniques such as inductive peaking, noise and distortion cancellation, gm‐boosting, active inductor and notch filter. …”
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