Development of a Scale to Evaluate Virtual Learning Environment Satisfactionn by Nazire Burcin Hamutoglu, Orhan Gemikonakli, Merve Savasci, Gozde Sezen Gultekin

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Hidden in plain sight? Sustained attention is the source of both educational and spiritual practice by Gabriella F. Buttarazzi, Sujay Sinha

“…Dedicating our efforts to cultivating sustained attention in our students is vital for pedagogic value and may also lead to promising consequences towards student integral/spiritual development. By casting a wide net across academic disciplines and cultural practices, we draw parallels between the birth of educational practice and the seeds of spiritual practice. …”
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A Data-Driven Front Tracking Algorithm for Autonomous Undersea Vehicles by Jieyang LU, Yongpeng WEN, Qian GUO, Xinke ZHU, Junsheng JIAO

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Comparison of Risk Assessment Strategies for Patients with Diabetes Mellitus and Stable Chest Pain: A Coronary Computed Tomography Angiography Study by Jia Zhao, Shuo Wang, Pengyu Zhao, Yong Huo, Chunjie Li, Jia Zhou

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Effect of Cs-Ion on the corrosion properties of implant materials by Murat Bi̇len, Zübeyde Özkan, İrem Balci, Uğur Gökmen, Sema Bilge Ocak

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Methodolo- gical Aspects of Semantic Relationship Extraction for Automatic Thesaurus Generation by N. S. Lagutina, K. V. Lagutina, E. I. Mamedov, I. V. Paramonov

“…These algorithms are based on different relation extraction techniques: lexico-syntactic patterns, morpho-syntactic rules, measurement of term information quantity, general-purpose thesaurus WordNet, and Levenstein distance. …”
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Effects of low light on photosynthetic properties, antioxidant enzyme activity, and anthocyanin accumulation in purple pak-choi (Brassica campestris ssp. Chinensis Makino). by Hongfang Zhu, Xiaofeng Li, Wen Zhai, Yang Liu, Qianqian Gao, Jinping Liu, Li Ren, Huoying Chen, Yuying Zhu

“…This study provides valuable information for further deciphering genetic mechanisms and improving agronomic traits in purple pak-choi under optimal light requirements.…”
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Substantial loss of trawlable biomass and lack of recovery in a marine ecosystem by Jacob Burbank, Nicolas Rolland, Jenni L. McDermid, François Turcotte, Tyler D. Tunney, Daniel Ricard, François-Étienne Sylvain

“…Unlike other marine regime shift examples, we observe a substantial net loss of trawlable biomass in the community, with limited compensatory response in small fish and crustacean biomass over nearly 30 years following the depletion of predatory groundfish. …”
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Deep One-Directional Neural Semantic Siamese Network for High-Accuracy Fact Verification by Muchammad Naseer, Jauzak Hussaini Windiatmaja, Muhamad Asvial, Riri Fitri Sari

“…Fake news has eroded trust in credible news sources, driving the need for tools to verify the accuracy of circulating information. Fact verification addresses this issue by classifying claims as Supports (S), Refutes (R), or Not Enough Info (NEI) based on evidence. …”
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Identification method of security in patrol inspection for distribution network equipment based on rapid discrimination of drone video image by WU Xueqiong, YU Haiping, FAN Yanhe

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Construction of Credibility Model for Evaluating the Effectiveness of Ecological Civilization Education by Lushan Yu

“…The results of the content analysis show that it is necessary to identify the dimensions of positive online comments because the single-dimensional constructs cannot effectively present the multidimensional information content contained in positive comments. …”
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Analyses on the Changes of Grazing Capacity in the Three-River Headwaters Region of China under Various Climate Change Scenarios by Rongrong Zhang, Zhaohua Li, Yongwei Yuan, Zhihui Li, Fang Yin

“…On the livestock production in the Three-River Headwaters region (TRHR) in the macrocontext of climatic change, this study analyzed the possible changing trends of the net primary productivity (NPP) of local grasslands under four RCPs scenarios (i.e., RCP2.6, RCP4.5, RCP6.0, and RCP8.5) during 2010–2030 with the model estimation, and the grass yield and theoretical grazing capacity under each scenario were further qualitatively and quantitatively analyzed. …”
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Developing subscale threshold scores for the nutrition literacy assessment instrument (NLit) by Nicholas J. Marchello, Juliana T. Camargo, Byron J. Gajewski, Debra K. Sullivan, Heather D. Gibbs

“…Conclusions NLit cutoff scores can pinpoint capacity with nutrition information by subscale. Identifying nutrition literacy deficits may allow nutrition professionals to better focus interventions.…”
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Characterisation of the genome and secretome of Phytophthora cryptogea and P. erythroseptica by Yuuri Hirooka, Oscar Villanueva, Ekaterina Ponomareva, Bennett L. Crane, Rick D. Peters, Walid Ellouze, Hai D. T. Nguyen

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USE OF MEDICAL ADHESIVES FOR CLOSING SCHNEIDER MEMBRANE PERFORATION DURING OPEN SINUS LIFTING (LITERATURE REVIEW) by D.V. Kasiyan, O.Ya. Mokryk

“…National Library of Ukraine, PubMed, Medline, MedNet, Embase, BMJ Group, Free Medical Journals, Free Medical Book, Scirus. …”
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Improved RT-DETR for Infrared Ship Detection Based on Multi-Attention and Feature Fusion by Chun Liu, Yuanliang Zhang, Jingfu Shen, Feiyue Liu

“…Additionally, a channel attention module is employed during feature selection, leveraging high-level features to filter low-level information and enabling efficient multi-level fusion. …”
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A grip strength prediction tool for older adults based on logistic regression: construction, validation, and clinical application value by Tongyang Wu, Bowen Li

“…Decision curve analysis confirmed significant net benefit within the clinically relevant threshold range. …”
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Squeeze-EnGAN: Memory Efficient and Unsupervised Low-Light Image Enhancement for Intelligent Vehicles by Haegyo In, Juhum Kweon, Changjoo Moon

“…Squeeze-EnGAN incorporates a fire module into a U-net architecture, substantially reducing the number of parameters and Multiply-Accumulate Operations (MACs) compared to its base model, EnlightenGAN. …”
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Hyperspectral Image-Based Identification of Maritime Objects Using Convolutional Neural Networks and Classifier Models by Dongmin Seo, Daekyeom Lee, Sekil Park, Sangwoo Oh

“…Among the CNN models, EfficientNet B0 and Inception V3 demonstrated the best performance, with Inception V3 achieving a category-specific accuracy of 97% when weights were excluded. …”
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Classifying Economic Areas for Urban Planning using Deep Learning and Satellite Imagery in East Africa by Davy Uwizera, Dr. Charles Ruranga, Prof. Patrick McSharry

“… Monitoring and assessing the distribution of economic areas in East Africa such as low and high income neighborhoods, has typically relied on the use of structured data and traditional survey approaches for collecting information such as questionnaires, interviews and field visits. …”
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