Implicaciones de la dinamización del juego en el recreo escolar de un centro de educación especial (Implications of the dynamization of play in the school recess of a special schoo... by Salvador Alcaraz García, Rocío Sánchez Sánchez, Pilar Arnaiz Sánchez

“…Observation, semi-structured interviews, and a focus group were employed as data collection techniques. For data analysis, differentiated categories were established based on the two set objectives. …”
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LITHIUM ISOTOPIC CONSTRAINTS ON THE ORIGIN OF I- AND A-TYPE GRANITES FROM EAST JUNGGAR (NW CHINA) OF THE CENTRAL ASIAN OROGENIC BELT: IMPLICATIONS FOR LI ISOTOPIC FRACTIONATION DUR... by Bin Chen, Keke Sun, Chao Huang, Hai-ou Gu

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Efficacy of releases of phytoseiid mites (Acari: Phytoseiidae) on spider mite control on raspberry in high tunnel production, and implication on control strategy through a populati... by Émilie Lemaire, Frédéric McCune, Michèle Roy, Gaétan Bourgeois, Valérie Fournier

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Knowledge, attitude, and practices of the community about Chikungunya in selected Districts of Afar Region, Northeast Ethiopia; its implications for controlling the disease: a comm... by Biruk Zerfu, Tesfu Kassa, Gezahegne Mamo, Mengistu Legesse

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Implicaciones del Deporte Federado hacia la Empatía y Actitud a la Educación Física en Adolescentes (Implications of Federated Sports towards Empathy and Attitude to Physical Educ... by Victor Gómez Sánchez, Rosario Padial Ruz, Manuel Gentil Adarve, Javier Chacón Zagalaz

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Efficiency Assessment of Transit-Oriented Development by Data Envelopment Analysis: Case Study on the Den-en Toshi Line in Japan by Jing Guo, Fumihiko Nakamura, Qiang Li, Yuan Zhou

“…This study aims to assess the efficiency of TOD by applying the data envelopment analysis (DEA) method. The ridership of public transportation is considered as the direct output characteristic of TOD efficiency, and nine indicators of ridership are selected as inputs on the basis of the core concepts of TOD. …”
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Analysis of histone modifications in key cellular subpopulations in the context of azoospermia using spermatogenic single-cell RNA-seq data by Qiu Wang, Qiu Wang, Hong Yang, Fang Li, Fang Li, Song Ge, Song Ge, Ling Ji, Ling Ji, Xiaofeng Li, Xiaofeng Li

“…IntroductionThe molecular underpinnings of non-obstructive azoospermia (NOA), a severe form of male infertility characterized by the absence of sperm in the ejaculate, remain unclear.MethodsIn this study, we demonstrate the role of histone modifications within specific testicular cell subpopulations in NOA using single-cell RNA sequencing (scRNA-seq) data.ResultsBased on scRNA-seq analysis of the data acquired from the Gene Expression Omnibus (GSE149512), we identified nine distinct cell types and revealed significant compositional differences between the NOA and control testicular tissues. …”
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Lack of IFN-γ response of human uterine myometrium-derived MSCs significantly improve multiple IBD parameters compared to bone marrow MSCs: Implications for anti-TNFα-refractory pa... by Li-Tzu Wang, Hsiu-Huan Wang, Shih-Sheng Jiang, Chia-Chih Chang, Pei-Ju Hsu, Ko-Jiunn Liu, Huey-Kang Sytwu, B. Linju Yen, Men-Luh Yen

“…Bioinformatics analyses including patient data were performed to further specify involved mechanisms with subsequent functional validation performed. …”
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Advancing tourism demand forecasting in Sri Lanka: evaluating the performance of machine learning models and the impact of social media data integration by Isuru Udayangani Hewapathirana

“…Practical implications – The findings offer substantial implications for the industry's growth and resilience, allowing stakeholders to make accurate data-driven decisions to navigate the unpredictable dynamics of Sri Lanka's tourism sector. …”
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Examining Black girls’ mathematics and science dispositions using large-scale assessment and survey data: A QuantCrit framework by Thao T. Vo, Shenghai Dai, Brian F. French

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Unraveling Temperature-Induced Vacancy Clustering in Tungsten: From Direct Microscopy to Atomistic Insights via Data-Driven Bayesian Sampling by Anruo Zhong, Clovis Lapointe, Alexandra M. Goryaeva, Kazuto Arakawa, Manuel Athènes, Mihai-Cosmin Marinica

“…We have designed a transmission-electron-microscopy experiment and developed a theoretical data-driven approach using the Bayesian adaptive biasing force method to investigate the finite-temperature properties of mono- and di-vacancies and characterize their relative stability via their formation free energies. …”
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Correlation Between the Morphological Profile of Patients and Temporomandibular Disorders: Analysis of Data Derived from Low-Dose C.B.C.T. by Monica Macrì, Mario Festa, Elena Lucia Pisanelli, Felice Festa

“…Further research is needed to assess the implications of these variations for TMD management.…”
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The Citation Economy as a Site of Extraction for Surveillance Publishing by Danielle Colbert-Lewis, lawrence maminta, Kelly McElroy, Graeme Slaght, Mark Swartz

“…This extraction—of academic labour, of data, of information—is reinvested into their proprietary data analytics products. …”
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A Statistical Framework for Modeling Behavioral Engagement via Topic and Psycholinguistic Features: Evidence from High-Dimensional Text Data by Dan Li, Yi Zhang

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The Right to Energy and the Data Protection and Privacy Rights: Towards a Coherent Enforcement under EU Law within the Energy Transition by José Grabiel Luis Cordova

“…This article outlines the theoretical, historical and legal foundations of the right to energy and analyses the implications of digitalisation for its realisation while also addressing emerging concerns about data protection and privacy rights. …”
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Optimizing Gated Recurrent Unit (GRU) for Gold Price Prediction: Hyperparameter Tuning and Model Evaluation on Historical XAU/USD Data by Abdul Faqih, Muhammad Jauhar Vikri, Ita Aristia Sa’ida

“…By systematically optimizing hyperparameters through 72 combinations of epochs, batch size, GRU layer units, and dropout rates, the study identifies the optimal configuration (100 epochs, batch size of 16, 256 units, dropout rate 0.1) based on MSE performance on validation data. The best model achieved MAE of 25.76, MSE of 954.97, and RMSE of 30.90, after inverse transformation on test data. …”
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Exploring the Potential of Blockchain Data as Pseudorandom Numbers for Microtonal Algorithmic Composition. A Case Study on Blockchain Music 2.5 by Krzysztof Kicior

“…This study explores the utilization of blockchain data as a set of pseudorandom numbers in the context of microtonal algorithmic composition. …”
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The effects of gender, age and region on rural teachers’ professional honor: an empirical analysis of survey data from seven provinces in China by Yuyi Chen, Wenhai Zhang, Andres Sandoval-Hernandez

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Acoustic Data on Vowel Nasalization Across Prosodic Conditions in L1 Korean and L2 English by Native Korean Speakers by Jiyoung Jang, Sahyang Kim, Taehong Cho

“…This article presents acoustic data on coarticulatory vowel nasalization from the productions of twelve L1 Korean speakers and of fourteen Korean learners of L2 English. …”
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Big data analytics, GHRM practices, and green digital learning paving the way towards green innovation and sustainable firm performance by Mohammad Said Ibrahim Alshuaibi, Adeeb Alhebri, Sajjad Nawaz Khan, Adnan Ahmed Sheikh

“…This research aims to understand the connections among Green Human Resource Management (GHRM) practices, Green Digital Learning Orientation (GDLO), Green Innovation (GI), and Sustainable Firm Performance (SFP) in small and medium-sized enterprises (SMEs) of Saudi Arabia. The data were analyzed utilizing the PLS-SEM approach, whereas data from 341 SMEs was examined. …”
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