Transformation of Urban Structure and Emergence of Higher-Order Commercial Areas- Case of Ahmedabad, India by Vivek Parekh, Heli Makwana

“…In the process, agglomerations of higher-order commercial activities that serve a large part of city, account for large no. of jobs and play important part in physical and economic functioning of the metropolis have emerged at favorable locations. …”
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Discovery of Inhibitors of Insulin-Regulated Aminopeptidase as Cognitive Enhancers by Hanna Andersson, Mathias Hallberg

“…It was reported more than two decades ago that intracerebroventricular injection of Ang IV improved memory and learning in the rat. Several hypotheses have been put forward to explain the positive effects of Ang IV and related analogues on cognition. …”
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Memory and reflection by Chienkuo Mi

“…The former component involves hindsight or careful examination of the past and as such draws on previous learning or memory and previously formed beliefs to avoid error. …”
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Bearing Fault Diagnosis based on Feature Visualization and Depth Adaptive Network by Hong Jiang, Yu Feng, Rong Fu

“…Firstly，the collected signals are analyzed by empirical mode decomposition method， and the Intrinsic mode functions（IMFs） are effectively determined by Mahalanobis distance measurement method. …”
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Enhancing student agency through platform agnosticism and heuristic teaching by Chris Friend

“…By using an intentionally less-helpful approach to classroom tech, instructors can (1) avoid tech-support responsibilities; (2) show that tech-tool use is intentional, rather than inevitable; and (3) promote student agency through experiential learning. The article concludes with the assertion that teachers should pay less attention to the specific technological tools they use/suggest and pay more attention to the generic functions of those technologies. …”
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Segmentation study of nanoparticle topological structures based on synthetic data. by Fengfeng Liang, Yu Zhang, Chuntian Zhou, Heng Zhang, Guangjie Liu, Jinlong Zhu

“…The ordered arrangement of nanoparticles is very important to fully understand their properties and functionalities. However, in materials science, the acquisition of training images requires a large number of professionals and the labor cost is extremely high, so there are usually very few training samples in the field of materials. …”
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Enjeux de la double médiation du plurilinguisme dans le milieu académique multilingue. Internationalisation ou diversité dans l’enseignement supérieur ? by Patchareerat Yanaprasart

“…Our interest focuses particularly on language issues in the process of knowledge internationalization, including the role of (re-)mediation of the language and the functions of languages such as reported by students of different disciplines.…”
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Physiological and pathophysiological effects of L-tryptophan’s metabolites on the brain and immunity – a challenge for drug development by Petar Iliev, Simeon Ivanov, Simeon Lazarov, Georgeta Bocheva

“…Also, TRP is a vital biochemical precursor for several functional neuroactive molecules, including serotonin and melatonin, which are of great importance for memory and learning, emotional regulation, circadian cycle, hunger, pain, etc. …”
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CNN based 2D object detection techniques: a review by Badri Raj Lamichhane, Gun Srijuntongsiri, Teerayut Horanont

“…This study provides a comprehensive review and evaluation of CNN-based object detection techniques, emphasizing the advancements in deep learning that have significantly improved model performance. …”
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The Kitchen and the Dacha: Productive Spaces of Soviet Mathematics by Slava Gerovitch

“…The parallel social infrastructure functioned in tense interdependency with official institutions and borrowed some characteristics of the official system it opposed. …”
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Efectos de la aplicación del Programa de Enriquecimiento Instrumental sobre un grupo de jóvenes infractores by William R. Avendaño Castro, Abad E. Parada Trujillo, Esperanza Casadiego Rivera

“…That is, cognitive functions and mental operations changed, although some factors limited mediation, such as psychoactive substance consumption and the environment within the rehabilitation center. …”
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Unlocking the potential of CRISPR tools and databases for precision genome editing by Pooja Saraswat, Rajiv Ranjan

“…This review gives an overview of these new resources that have been developed, grouped based on their functionalities like design of guide RNA, off-target predictions, genome-wide screens, and visualizations of the data. …”
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Directly Attention loss adjusted prioritized experience replay by Zhuoying Chen, Huiping Li, Zhaoxu Wang

“…Abstract Prioritized Experience Replay enables the model to learn more about relatively important samples by artificially changing their accessed frequencies. …”
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A scoping review of how people living with dementia perceive and use assistive technology to support everyday activities in their homes by S. Martin, C.H. Jones

“…Barriers to AT use were perception of AT and self-perception in relation to learning to use AT, cost, functionality, insufficient information and support. …”
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Satisfaction by the certain subjective success in career by Janjić Ivana, Ilić Đurđijana

“…In order for the organization to function and profit profitably, it is necessary to control and improve the satisfaction of employees, because the success of each organization rests on satisfactory human resources.…”
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the role of the economic circuit in national accounting and the involvement of economic agents in the SCEA system (Algerian Economic Accounts System) by Leila LOUKIL, Asmaa SELKA

“…            To study the economic circuit, it is necessary to study the role played by the various economic agents in the market for goods and services and in the financial market, each agent has a main function in the circuit, national accounting studies this circuit which performs between the agents economy and the market. …”
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Adaptive high-resolution mapping of air pollution with a novel implicit 3D representation approach by Ting Zhang, Bo Zheng, Ruqi Huang

“…HF-SDF learns a continuous and transferable mapping model that integrates an auto-decoder network with a geometric constraint, offering flexible resolution. …”
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Anomaly detection model for multivariate time series based on stochastic Transformer by Weigang HUO, Rui LIANG, Yonghua LI

“…Aiming at the problem that the existing multivariate time series anomaly detection models based on variational autoencoders could not propagate long-term temporal dependencies between stochastic variables in latent space, the stochastic Transformer for MTS anomaly detection (ST-MTS-AD) model which combined Transformer encoder with VAE was proposed.In the inference network of the ST-MTS-AD, the MTS long-term temporal dependent features generated by Transformer encoder and the sampled values of the stochastic variables at the previous moment were inputted into the multilayer perceptron, the approximate posterior distribution of the stochastic variables at the current moment was generated by the multilayer perceptron, and the temporal dependencies between stochastic variables were realized.The gated transition function(GTF) was used to generate the prior distribution of stochastic variables.The generation network of the ST-MTS-AD reconstructed the distribution of the MTS values at each moment by the multilayer perceptron whose input was the MTS long-term temporal dependent features generated by the inference network and the approximate posterior sampling values of stochastic variables.The distribution of normal MTS dataset was learned by the variational inference technology, and the abnormal MTS segment was determined by the log-likelihood of the reconstruction probability.Experiments on four public datasets show that the ST-MTS-AD model significantly improves the F1 score over the typical baseline models.…”
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BAYESIAN FINITE ELEMENT MODEL UPDATING BASED ON MARKOV CHAIN POPULATION COMPETITION by YE Ling, JIANG HongKang, ZOU YuQing, CHEN HuaPeng, WANG LiCheng

“…The traditional Markov Chain Monte Carlo（MCMC） simulation method is inefficient and difficult to converge in high dimensional problems and complicated posterior probability density.In order to overcome these shortcomings，a Bayesian finite element model updating algorithm based on Markov chain population competition was proposed.First，the differential evolution algorithm was introduced in the traditional method of Metropolis-Hastings algorithm.Based on the interaction of different information carried by Markov chains in the population，optimization suggestions were obtained to approach the objective function quickly.It solves the defect of sampling retention in the updating process of high-dimensional parameter model.Then，the competition algorithm was introduced，which has constant competitive incentives and a built-in mechanism for losers to learn from winners.Higher precision was obtained by using fewer Markov chains，which improves the efficiency and precision of model updating.Finally，a numerical example of finite element model updating of a truss structure was used to verify the proposed algorithm in this paper.Compared with the results of standard MH algorithm，the proposed algorithm can quickly update the high-dimensional parameter model with high accuracy and good robustness to random noise.It provides a stable and effective method for finite element model updating of large-scale structure considering uncertainty.…”
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CrowdStrike Causes Global Microsoft Outage by Reef E. Alsowaigh

“…These corrective measures aimed to prevent similar incidents and restore normal functionality for affected users. This paper introduces a case study that provides an overview of CrowdStrike, examines the incident in detail, identifies the root cause, outlines the remediation techniques employed, and highlights key lessons learned. …”
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