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  1. 53361

    How does social support influence autonomous physical learning in adolescents? Evidence from a chain mediation and latent profile analysis. by Jiamin Zhu, Ziyou Huang, Xiaoping Meng, Zhiyong Zhang, Xiaotong Yuan

    Published 2025-01-01
    “…Participants completed the Chinese versions of the Perceived Social Support Scale (PSSS), General Self-Efficacy Scale (GSES), Motivation for Physical Activity Measure-Revised (MPAM-R), and Autonomous Physical Learning Behavior Scale (APLBS). Data were analyzed using SPSS 25.0 for descriptive statistics, Pearson correlations, t-tests, one-way ANOVAs, and hierarchical regression; Mplus 8.3 for Latent Profile Analysis (LPA); and AMOS 27.0 for Structural Equation Modeling (SEM) with bootstrapping (10,000 resamples).…”
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  2. 53362

    Soil-transmitted helminth infection, loss of education and cognitive impairment in school-aged children: A systematic review and meta-analysis. by Noel Pabalan, Eloisa Singian, Lani Tabangay, Hamdi Jarjanazi, Michael J Boivin, Amara E Ezeamama

    Published 2018-01-01
    “…We re-examine the hypothesis that STH infection is associated with cognitive deficit and educational loss using data from all primary epidemiologic studies published between 1992 and 2016.…”
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  3. 53363
  4. 53364

    ¿Consolidación o retroceso? Explorando las actitudes sociales hacia la diversidad sexual en España (1980-2022) by José María Ramírez-Dueñas, Guillermo Cordero

    Published 2025-05-01
    “…Although it is still too early to confirm a structural backlash, our findings indicate that the recent stagnation, together with the regressions seen in specific social sectors, raises important questions about a potential threat to the social acceptance of LGTBIQ+ people in Spain. …”
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  5. 53365

    Enhanced bed shear stress and mixing in the tidal wake of an offshore wind turbine monopile by M. J. Austin, C. A. Unsworth, K. J. J. Van Landeghem, B. J. Lincoln

    Published 2025-01-01
    “…We collect novel hydrodynamic data 40 <span class="inline-formula">m</span> from an OWF monopile over a spring–neap cycle and use high-frequency velocity measurements to quantify turbulence. …”
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  6. 53366
  7. 53367

    A visual positioning method for tunnel boring machines in underground coal mines based on anchor net features by Xuhui ZHANG, Yunkai CHI, Yuyang DU, Junying JIANG, Wenjuan YANG, Youjun ZHAO, Jicheng WAN, Yanqun WANG, Chenhui TIAN

    Published 2025-06-01
    “…This method enhanced the extraction capacity using the edge drawing lines (EDLines) with adaptive thresholding and improved the matching accuracy using the structural similarity index measure (SSIM). A pose estimation model with minimized reprojection errors of line features was constructed. …”
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  8. 53368

    Genome-Wide Association Study and Rare Variant Association Studies of Strabismus in the All of Us Research Program by Kyoung A Viola Lee, MPH, Corey Tesdahl, Inas F. Aboobakar, MD, Ashish Jain, PhD, Mayra Martinez Sanchez, PhD, Kimberly Jin, BA, Isdin Oke, MD, Mary C. Whitman, MD, PhD

    Published 2025-11-01
    “…Participants: The All of Us Research Program includes genotypic and phenotypic data from a diverse population of adults (age ≥18 years at time of enrollment) across the United States. …”
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  9. 53369

    Phenotype and surgical management of drug‐resistant epilepsy in patients with COL4A1 and COL4A2 variants by Jie Shi, Jiuluan Lin, Jianjun Bai, Haixiang Wang, Bingqing Zhang, Qian Feng, Zhaohui Sun, Yiou Liu, Jing He, Xiancheng Song, Siyu Wang, Xiaoyan Liu, Wenjing Zhou

    Published 2025-06-01
    “…Neuroimaging revealed various brain abnormalities. Structural abnormalities outside the seizure‐onset zone did not appear to affect surgical prognosis. …”
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  10. 53370

    First Results of a Randomized Controlled Trial of Hemoblock in Patients with Large Incisional Hernias by E. N. Degovtsov, P. V. Kolyadko, V. P. Kolyadko, A. V. Satinov

    Published 2020-01-01
    “…When penetrating into the cell, local anesthetics affect some structures and processes, in addition to blocking sodium channels, leading to the development of cell damage. …”
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  11. 53371

    Прийоми реновації замкових комплексів та їх пристосування під сучасне використання на прикладі замку Свірж... by Sergiy Buravchenko, Oleksandr Pivovarov, Oleksandr Khlyupin, Iryna Shashkova

    Published 2021-12-01
    “…The article uses traditional scientific methods of comparative analysis, generalization of positive experience and the method of system-structural analysis. Results. The article deals with the reasons for the abandonment and non-use of castles, the prerequisites for their renovation and the combination of the historical and the modern. …”
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  12. 53372

    Antimicrobial resistance (AMR) and spread of New Delhi Metallo-β-Lactamase (NDM) in Italy: A call for policymakers by Gabriella Nucera

    Published 2019-11-01
    “…According to its Agenzia Regionale di Sanità (ARS) data, between November 2018 and 27 October 2019, NDM producing CREs have been identified in the blood of 129 patients and the rate of mortality in patients with sepsis was as 33% [13]. …”
    Article
  13. 53373

    高敏感特質中高齡學習者面對數位學習壓力及疫情焦慮之學習滿意度與後疫情調適:復原力之中介效果 Learning Satisfaction and Post-Pandemic Adaptation in Highly Sensitive Middle-aged and Elderly Learners in the Face of Digital Learni... by 王雅鈴 Ya-Ling Wang, 張伶瑜 Lin-Yu Chang, 羅淇文 Chi-Wen Luo, 林郁文 Yu-Wen Lin

    Published 2025-03-01
    “…A total of 208 valid responses were collected (72 male, 136 female, mean age = 57.93, SD = 6.79). The collected data were analyzed using structural equation modeling (SEM) with the Bootstrap statistical method for mediation analysis. …”
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  14. 53374

    中學生成長型思維與學習投入之關係: 以後設認知與羞愧感為中介變項 A Study on the Impact of Growth Mindset on Learning Engagement Among Junior and Senior High School Students: Exploring the Mediating Roles of Metac... by 王佳琪 Chia-Chi Wang, 孫國瑋 Guo-Wei Sun

    Published 2025-06-01
    “…本研究探討中學生成長型思維與學習投入的關係,並檢驗後設認知與羞愧感的中介效果,以1,167位國、高中生為研究對象,完成「思維量表」、「後設認知量表」、「羞愧感量表」與「學習投入量表」等研究工具的填答,採結構方程模式(Structural Equation Modeling, SEM)進行分析。研究結果顯示,一、學生的成長型思維能正向預測後設認知、後設認知能直接正向預測學習投入、成長型思維會間接正向預測學生的學習投入;二、學生的成長型思維能直接負向預測羞愧感、羞愧感會直接負向預測學生的學習投入;三、學生的後設認知與羞愧感,在成長型思維與學習投入間具有中介效果。…”
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  15. 53375
  16. 53376
  17. 53377

    Tagging large CNV blocks in wheat boosts digitalization of germplasm resources by ultra-low-coverage sequencing by Jianxia Niu, Wenxi Wang, Zihao Wang, Zhe Chen, Xiaoyu Zhang, Zhen Qin, Lingfeng Miao, Zhengzhao Yang, Chaojie Xie, Mingming Xin, Huiru Peng, Yingyin Yao, Jie Liu, Zhongfu Ni, Qixin Sun, Weilong Guo

    Published 2024-07-01
    “…Abstract Background The massive structural variations and frequent introgression highly contribute to the genetic diversity of wheat, while the huge and complex genome of polyploid wheat hinders efficient genotyping of abundant varieties towards accurate identification, management, and exploitation of germplasm resources. …”
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  18. 53378
  19. 53379

    OrchidBase 6.0: increasing the number of Cymbidium (Orchidaceae) genomes and new bioinformatic tools for orchid genome analysis by You-Yi Chen, Ye Sun, Chung-I Li, Shao-Ting Lin, Hao-Chen Zheng, Zhe-Bin Zhang, Bing-Ru Lee, Chun-Lin Hsieh, Yu-Yun Hsiao, Chi-Nga Chow, Chien-Wen Yang, Wen-Chi Chang, Heming Chen, Feng-Xi Yang, Gen-Fa Zhu, Qinyao Zheng, Cheng-Yuan Zhou, Zhuang Zhao, Ye Ai, Lin-Ying Wang, Deqiang Chen, Xin He, Ming-Zhong Huang, Dong-Hui Peng, Hao Yu, Siren Lan, Zhong-Jian Liu, Wei-Sheng Wu, Wen-Chieh Tsai

    Published 2025-01-01
    “…Abstract Background Orchids are well-known for their rich diversity of species as well as wide range habitats. Their floral structures are so unique in angiosperms that many of orchids are economically and culturally important in human society. …”
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  20. 53380

    Applications of Artificial Intelligence in Biotech Drug Discovery and Product Development by Yuan‐Tao Liu, Le‐Le Zhang, Zi‐Ying Jiang, Xian‐Shu Tian, Peng‐Lin Li, Pei‐Huang Wu, Wen‐Ting Du, Bo‐Yu Yuan, Chu Xie, Guo‐Long Bu, Lan‐Yi Zhong, Yan‐Lin Yang, Ting Li, Mu‐Sheng Zeng, Cong Sun

    Published 2025-08-01
    “…It highlights AI's ability to achieve >75% hit validation in virtual screening, design protein binders with sub‐Ångström structural fidelity, enhancing antibody binding affinity to the picomolar range, and optimize nanoparticles to achieve over 85% functionalization efficiency. …”
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