Play Therapy in Children with Autism Diagnosis: An Investigation into the Trainers’ Opinions by Meliha Uzun, Baki Yılmaz

“…Through the play therapy was a crucial element in the process of integrating into life by providing children with autism many positive acquisitions such as improving attention and concentration, ensuring cognitive, physical, emotional and multiple developments, acquiring communication skills, reducing problematic behavior, increasing focus, and socializing through an increase in social interaction features such as contributing to establish eye contact. …”
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Experimental Study on Seismic Compression of Chinese Loess under Cyclic Direct Simple Shear Testing by Qiang Wang, Zhe Zhang, Shengjun Shao, Qian Yang

“…For Chinese loess, the behavior of seismic compression is extremely significant and has been recognized in historical earthquakes. …”
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Cats and dogs cross the line: domestic breeds follow Rensch’s rule, their wild relatives do not by C. J. Bidau, P. A. MartÍnez

“…The domestication syndrome already recognized by Darwin shows that domesticated species acquire a number of novel morphological, physiological and behavioral characteristics not present in their wild ancestors. …”
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Preservation of Seed Crystals in Feedstock Melting for Cast Quasi-Single Crystalline Silicon Ingots by Zaoyang Li, Lijun Liu, Yunfeng Zhang, Qingchao Meng, Zhiyan Hu, Genshu Zhou

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Pedagogical monitoring of the moral culture of a preschool child by Olga A. Beznosova, Artur M. Allagulov

“…It allows to conduct a comprehensive assessment of the moral development of children according to cognitive, emotional-evaluative and behavioral criteria. Empirical testing has shown that the proposed monitoring procedure corresponds to the solution of the tasks set, makes it possible to assess both individual criteria and the general level of development of the moral culture of preschoolers, and the results obtained are correlated with expert assessments and observations of teachers and educators.…”
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Abnormal link detection algorithm based on semi-local structure by Haoran SHI, Lixin JI, Shuxin LIU, Gengrun WANG

“…With the research in network science, real networks involved are becoming more and more extensive.Redundant error relationships in complex systems, or behaviors that occur deliberately for unusual purposes, such as wrong clicks on webpages, telecommunication network spying calls, have a significant impact on the analysis work based on network structure.As an important branch of graph anomaly detection, anomalous edge recognition in complex networks aims to identify abnormal edges in network structures caused by human fabrication or data collection errors.Existing methods mainly start from the perspective of structural similarity, and use the connected structure between nodes to evaluate the abnormal degree of edge connection, which easily leads to the decomposition of the network structure, and the detection accuracy is greatly affected by the network type.In response to this problem, a CNSCL algorithm was proposed, which calculated the node importance at the semi-local structure scale, analyzed different types of local structures, and quantified the contribution of edges to the overall network connectivity according to the semi-local centrality in different structures, and quantified the reliability of the edge connection by combining with the difference of node structure similarity.Since the connected edges need to be removed in the calculation process to measure the impact on the overall connectivity of the network, there was a problem that the importance of nodes needed to be repeatedly calculated.Therefore, in the calculation process, the proposed algorithm also designs a dynamic update method to reduce the computational complexity of the algorithm, so that it could be applied to large-scale networks.Compared with the existing methods on 7 real networks with different structural tightness, the experimental results show that the method has higher detection accuracy than the benchmark method under the AUC measure, and under the condition of network sparse or missing, It can still maintain a relatively stable recognition accuracy.…”
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Scenario-adaptive wireless fall detection system based on few-shot learning by Yuting ZENG, Suzhi BI, Lili ZHENG, Xiaohui LIN, Hui WANG

“…A scenario robust fall detection system based on few-shot learning (FDFL) in wireless environment was designed.The performance of existing fall detection methods based on Wi-Fi channel state information (CSI) degrades significantly across scenarios, which requires collecting and marking a large number of CSI samples in each application scenario, resulting in high cost for large-scale deployment.Therefore, the method of few-shot learning was introduced, which can maintain the performance of fall detection with high accuracy when the number of annotated samples in unfa-miliar scenes is insufficient.The proposed FDFL was mainly divided into two stages, source domain meta-training and target domain meta-learning.The meta training stage of the source domain consists of two parts: data preprocessing and classification training.In the data preprocessing stage, the collected original CSI amplitude and phase data were denoised and segmented.In the classification training stage, a large number of processed source domain data samples were used to train a CSI feature extractor based on convolutional neural network.In the meta-learning stage of the target domain, the limited labeled data sampled in the target domain was effectively extracted based on the feature extractor trained in the meta-training module, and then a lightweight machine learning classifier was trained to detect the fall behavior under the cross-scene.Through several experiments in different scenarios, FDFL can achieve an average accuracy of 95.52% for the four classification tasks of falling, sitting, walking and sit down with only a small number of samples in the target domain, and maintain robust detection accuracy for changes in test environment, personnel target and equipment location.…”
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Theory and practice of labor education of junior schoolchildren in extracourse activities by Galiya B. Sarmutdinova

“…The solution of the problem: to study the theory of labor education and describe the experience of labor education of a junior schoolchild in extracurricular activities, required a phased solution of it, taking into account the moral standards of the junior schoolchild, certain rules of his behavior. At the first stage of experimental work, we recorded the acquired qualities of labor education of junior schoolchildren in situations of life activity that illustrate their attitude to society, the team, work, people, and themselves. …”
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Exploring the ethical issues in research using digital data collection strategies with minors: A scoping review. by Danica Facca, Maxwell J Smith, Jacob Shelley, Daniel Lizotte, Lorie Donelle

“…Themes which emerged across the reviewed literature included: consent, data handling, minors' data rights, observing behaviors that may result in risk of harm to participants or others, private versus public conceptualizations of data generated through social media, and gatekeeping. …”
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Epigenetic regulation of the inflammatory response in stroke by Jingyi Liang, Fei Yang, Zixiao Li, Qian Li

“…Immunologic mechanisms play a critical role in secondary brain injury following a stroke, which manifests as cytokine release, blood–brain barrier disruption, neuronal cell death, and ultimately behavioral impairment. Suppressing the inflammatory response has been shown to mitigate this cascade of events in experimental stroke models. …”
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STUDY ON SHOT MOTION CHARACTERISTICS IN PEENING PROCESS WITH HIGH-SPEED CAMERA AND PIV (MT) by FAN JunKai, SUN MingGe, ZHAO Wu, LIU Wei

“…Its treatment quality is closely related to the shot motion behavior which is derived by high speed airflow. To accurate control shots motion and improve treatment quality in shot peening, it is great significance to explore an accurate measurement method and uncover the law of shots motion in peening process. …”
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Synthesis, Characterization, Antimicrobial, DNA Cleavage, and Antioxidant Studies of Some Metal Complexes Derived from Schiff Base Containing Indole and Quinoline Moieties by Mahendra Raj Karekal, Vivekanand Biradar, Mruthyunjayaswamy Bennikallu Hire Mathada

“…The Cu(II), Co(II), and Ni(II) complexes were octahedral, whereas Zn(II), Cd(II), and Hg(II) complexes were tetrahedral in nature. The redox behavior of the Cu(II) complex was investigated by electrochemical method using cyclic voltammetry. …”
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Bytecode-based approach for Ethereum smart contract classification by Dan LIN, Kaixin LIN, Jiajing WU, Zibin ZHENG

“…In recent years, blockchain technology has been widely used and concerned in many fields, including finance, medical care and government affairs.However, due to the immutability of smart contracts and the particularity of the operating environment, various security issues occur frequently.On the one hand, the code security problems of contract developers when writing contracts, on the other hand, there are many high-risk smart contracts in Ethereum, and ordinary users are easily attracted by the high returns provided by high-risk contracts, but they have no way to know the risks of the contracts.However, the research on smart contract security mainly focuses on code security, and there is relatively little research on the identification of contract functions.If the smart contract function can be accurately classified, it will help people better understand the behavior of smart contracts, while ensuring the ecological security of smart contracts and reducing or recovering user losses.Existing smart contract classification methods often rely on the analysis of the source code of smart contracts, but contracts released on Ethereum only mandate the deployment of bytecode, and only a very small number of contracts publish their source code.Therefore, an Ethereum smart contract classification method based on bytecode was proposed.Collect the Ethereum smart contract bytecode and the corresponding category label, and then extract the opcode frequency characteristics and control flow graph characteristics.The characteristic importance is analyzed experimentally to obtain the appropriate graph vector dimension and optimal classification model, and finally the multi-classification task of smart contract in five categories of exchange, finance, gambling, game and high risk is experimentally verified, and the F1 score of the XGBoost classifier reaches 0.913 8.Experimental results show that the algorithm can better complete the classification task of Ethereum smart contracts, and can be applied to the prediction of smart contract categories in reality.…”
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Association of enterolactone with blood pressure and hypertension risk in NHANES. by Cynthia M Weiner, Shannon E Khan, Caleb Leong, Sushant M Ranadive, Sara C Campbell, Jeffrey T Howard, Kevin S Heffernan

“…In multivariable models adjusted for demographic, socioeconomic and behavioral/environmental covariates, each one-unit change in log-transformed increase in enterolactone was associated with a 0.738 point (95% CI: -0.946, -0.529; p<0.001) decrease in systolic blood pressure and a 0.407 point (95% CI: -0.575, -0.239; p<0.001) decrease in diastolic blood pressure. …”
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Human Immunodeficiency Virus Preexposure Prophylaxis Awareness and Acceptability among Men Who Have Sex with Men and Transgender Persons in India: Systematic Review and Meta-analys... by Adhish Kumar Sethi, Partha Haldar, Shashi Kant, Sanjay Kumar Rai, Shobini Rajan, Parveen Kumar

“…With increasing importance being given to preexposure prophylaxis (PrEP) for human immunodeficiency virus prevention among men who have sex with men (MSM) and transgender persons (TG), we undertook a systematic review and meta-analysis of PrEP awareness and acceptability among these key populations in India, and their sociodemographic and behavioral determinants. The systematic review was registered with PROSPERO (CRD42023390508). …”
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The survey of impact of entrepreneurial courses on intention and psychological characteristics of physical education students (a case study of Iranian universities) by Fahimeh Rezaeı, Ali Zareı, Faride Ashraf Ganjoueı

“…Thus, one of the most important actions, in order make entrepreneurial behavior in them, is to form entrepreneurial intend and attitude in them. …”
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Misleading nomenclature in the IARC Monographs Programme: a straightforward solution to improve accuracy and clarity by Miguel López-Lázaro

“…., solar radiation, red meat consumption, approved drugs) being perceived as universally harmful, discouraging beneficial exposures, behaviors, or treatments. Here, I propose renaming the groups of agents classified by the IARC and adding basic labels to specific agents to improve the accuracy and interpretability of the IARC classification lists. …”
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Pseudodynamic Testing of Buildings Retrofitted with External Steel Reinforced Concrete Frames to Increase Lateral Strength for Earthquake Damage Prevention by Ju-Seong Jung, Kang-Seok Lee

“…The earthquake response behavior with use of the proposed method, in terms of the maximum response strength, response displacement, and degree of earthquake damage, is compared with a control RC frame. …”
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Leveraging Harris Hawks Optimization for Enhanced Multi-Objective Optimal Power Flow in Complex Power Systems by Fahad Alsokhiry

“…HHO, which shares characteristics with ant behavior, demonstrates significant strength in addressing high-dimensional, nonlinear optimization issues within power systems. …”
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Experimental investigation of effect of specimen thickness on fracture toughness of Al-TiC composites by M. S. Raviraj, C. M. Sharanaprabhu, G. C. Mohankumar

“…In this paper, the macro and micro-mechanical fracture behavior was studied for aluminum (Al6061) alloy matrix, reinforced with various proportions of TiC particles such as 3wt%, 5wt% and 7wt%. …”
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