Comprehensive profiling of chemokine and NETosis-associated genes in sarcopenia: construction of a machine learning-based diagnostic nomogram by Yingwei Wang, Le Wang, Yan Zhang, Minghui Wang, Huaying Zhao, Cheng Huang, Huaiyang Cai, Shuangyang Mo

“…Two machine learning algorithms and univariate analysis were integrated to screen signature genes, which were subsequently used to construct diagnostic nomogram models for sarcopenia. …”
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Weed instance segmentation from UAV Orthomosaic Images based on Deep Learning by Chenghao Lu, Klaus Gehring, Stefan Kopfinger, Heinz Bernhardt, Michael Beck, Simon Walther, Thomas Ebertseder, Mirjana Minceva, Yuncai Hu, Kang Yu

“…Weeds significantly impact agricultural production, and traditional weed control methods often harm soil health and environment. This study aimed to develop deep learning-based segmentation models in identifying weeds in potato fields captured by Unmanned Aerial Vehicle (UAV) orthophotos and to explore the effects of weeds on potato yield. …”
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Characteristics of ecosystem multifunctionality and influencing factors of different grassland types in temperate desert of Longzhong Loess Plateau by Yali Li, Yali Li, Guoxing He, Guoxing He, Xiaoni Liu, Xiaoni Liu, Tong Ji, Tong Ji

“…IntroductionEcosystem multifunctionality (EMF) refers to the integrated capacity of an ecosystems to provide a variety of services and functions. …”
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Post-Lunch Napping as a Strategy to Enhance Physiological Performance and Cognitive Function in Elite Volleyball Players by Özgür Eken, Oguzhan Bozkurt, Musa Türkmen, Ahmet Kurtoglu, Madawi H. Alotaibi, Safaa M. Elkholi

“…Further research is needed to explore long-term effects and variations across other sports.…”
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Psychological and emotional profiles of Australian uterine transplant potential recipients: A comparison with international trials by Brigitte Gerstl, Eva Kehag, Hayley Mallinder, Tamika Baker, Kaushalya Arulpragasam, Catherine David, Meredith Stone, Elizabeth Fitzsimmons, Kate Hetherington, Rebecca Deans

“…This study is the first in Australia to explore the psychosocial functioning of potential recipients assessed for the nation's initial UTx clinical trial and to compare their psychological profiles with those from international UTx trials. Material and Methods This is a mixed methods prospective study incorporating standardized psychological measures and semi‐structured interviews. …”
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Predicting the efficacy of rehabilitation in patients with type 2 diabetes and diabetic polyneuropathy by T.H. Bakaliuk, N.R. Makarchuk, H.O. Stelmakh, V.I. Pankiv, I.I. Kamyshna

“…Given the prevalence of diabetes and its complications, including DPN, the development of predictive models will allow for personalized treatment approaches, optimization of rehabilitation programs, and improvement in the quality of life for patients. Integrating state-of-the-art data analysis methods and molecular-biological approaches into predictive models will contribute to the development of innovative rehabilitation strategies and improve treatment outcomes in this important patient population. …”
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Surgical management of skull base chordomas and chondrosarcomas: insights from a national cohort study by Rekha Siripurapu, Laurence J Glancz, Omar N Pathmanaban, Charlotte Hammerbeck-Ward, Cathal John Hannan, Alexandros Vyziotis, Scott A Rutherford, Gillian A Whitfield, Adrian Crellin, Gillian M Potter, Andrew Thomas King, Raj K Bhalla, Shermaine Pan, Rovel Colaco

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Protocol: the International Milk Composition (IMiC) Consortium - a harmonized secondary analysis of human milk from four studies by Kelsey Fehr, Kelsey Fehr, Andrew Mertens, Chi-Hung Shu, Trenton Dailey-Chwalibóg, Trenton Dailey-Chwalibóg, Liat Shenhav, Liat Shenhav, Liat Shenhav, Lindsay H. Allen, Lindsay H. Allen, Megan R. Beggs, Megan R. Beggs, Lars Bode, Lars Bode, Rishma Chooniedass, Mark D. DeBoer, Lishi Deng, Camilo Espinosa, Camilo Espinosa, Camilo Espinosa, Daniela Hampel, Daniela Hampel, April Jahual, April Jahual, Fyezah Jehan, Mohit Jain, Patrick Kolsteren, Puja Kawle, Kim A. Lagerborg, Melissa B. Manus, Melissa B. Manus, Melissa B. Manus, Samson Mataraso, Samson Mataraso, Samson Mataraso, Joann M. McDermid, Ameer Muhammad, Payam Peymani, Payam Peymani, Martin Pham, Martin Pham, Setareh Shahab-Ferdows, Yasir Shafiq, Yasir Shafiq, Yasir Shafiq, Vishak Subramoney, Daniel Sunko, Daniel Sunko, Laeticia Celine Toe, Laeticia Celine Toe, Stuart E. Turvey, Lei Xue, Natalie Rodriguez, Natalie Rodriguez, Alan Hubbard, Nima Aghaeepour, Nima Aghaeepour, Nima Aghaeepour, Meghan B. Azad, Meghan B. Azad

“…Multi-modal machine learning methods (extreme gradient boosting with late fusion and two-layered cross-validation) will be applied to predict infant growth and identify determinants of HM variation. …”
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Evaluating implementation of a hospital‐based cancer registry to improve childhood cancer care in low‐ and middle‐income countries by Melissa R. Maas, Allison Yang, Michele A. Muir, James B. Collins IV, Courtney Canter, Gevorg Tamamyan, Inam Chitsike, Francine Kouya, Kim Hoa Nguyen, Alia Ahmad, Ana Patricia Alcasabas, Yi‐Jin Gao, Kimberly J. Johnson, Gia Ferrara, Nickhill Bhakta, Benyam Muluneh

“…Methods Seven of 89 sites using the SJCARES registry were selected, stratified by global region and stage of implementation. …”
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Deciphering the role of heat shock protein HSPA1L: biomarker discovery and prognostic insights in Parkinson's disease and glioma by Hong Cheng, Jing Wang, Yingjie Zhao, Xiaoli Hou, Fang Ling, Yixia Wang, Yasen Cao

“…Gene Set Variation Analysis (GSVA) was performed to explore functional profiles, while LASSO regression was employed to screen potential PD biomarkers. …”
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Population-specific genetic differences of acute coronary syndrome in Han and Uyghur Chinese by Hongmei Lai, Hongmei Lai, Jinhang Zhu, Jing Tao, Jing Tao, Zitong Guo, Zitong Guo, Xiaolin Yu, Xiaolin Yu, Xin Shen, Ting Wang, Ying Wang, Ying Wang, Huan Cai, Huan Cai, Xiao Cai, Zhenbang Wei, Yining Yang, Yining Yang

“…This study explores the genetic variation associated with ACS subtypes in the Han and Uyghur Chinese populations to support the development of precision medicine approaches tailored to ethnic-specific genetic backgrounds.MethodsA total of 985 ACS patients (668 Han and 317 Uyghur Chinese) representing different ACS subtypes were enrolled. …”
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Re‐Striking the Indications in the Improvement of Avoidable Caesarian Section: A Cluster Randomized Control Trial by Fatema Ashraf, Jobaida Sultana, MSA Mansur Ahmed, Khadija Mannan, Moomtahina Fatima, Mintu Chowdhury, Jinnat Ara Islam, Khandaker Shehneela Tasmin, Adneen Moureen, Md. Abdullah Yusuf, Redoy Ranjan, Md. Nazmul Karim

“…Conclusion Re‐striking the primary indications for cesarean sections is crucial for reducing avoidable deliveries; that is why it should be integrated into hospital policy to benefit patients and the healthcare system.…”
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Local adaptation, genetic diversity and key environmental interactions in a collection of novel red clover germplasm by A. D. Heslop, A. D. Heslop, Sai K. Arojju, Rainer W. Hofmann, John L. Ford, M. Zulfi Z. Jahufer, Anna C. Larking, Rachael Ashby, Charles A. Hefer, Ken G. Dodds, A. Saei, Jessica O’Connor, Andrew G. Griffiths

“…Our study identifies the importance of diverse germplasm when adding genetic variation into breeding programs. It also identifies efficient evaluation methods and key climatic variables that should be considered when developing adaptive red clover cultivars.…”
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Regional patterns of genetic variants in expanded carrier screening: a next-generation sequencing pilot study in Fujian Province, China by Danhua Guo, Danhua Guo, Nani Zhou, Qianqian He, Qianqian He, Na Lin, Na Lin, Shuqiong He, Shuqiong He, Deqin He, Deqin He, Yifang Dai, Yifang Dai, Ying Li, Ying Li, Xuemei Chen, Xuemei Chen, Hailong Huang, Hailong Huang, Jia Jia, Hua Cao, Liangpu Xu, Liangpu Xu

“…BackgroundThis pilot study aimed to characterize the regional distribution of genetic variants associated with autosomal recessive and X-linked recessive (AR/XLR) conditions in Fujian Province, Southeast China, to inform the development of targeted carrier screening programs.MethodsAn expanded carrier screening (ECS) panel utilizing next-generation sequencing (NGS) technology was designed to analyze 332 genes associated with 343 AR/XLR conditions. …”
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Cathepsin L in Lung Adenocarcinoma: Prognostic Significance and Immunotherapy Response Through a Multi Omics Perspective by Jianming Lu, Jiaqi Liang, Gang Xiao, Zitao He, Guifang Yu, Le Zhang, Chao Cai, Gao Yi, Jianjiang Xie

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Mapping near-real-time soil moisture dynamics over Tasmania with transfer learning by M. T. Widyastuti, J. Padarian, B. Minasny, M. Webb, M. Taufik, D. Kidd

“…The fine-resolution soil moisture maps captured the detailed landscape variation as well as temporal variation according to four distinct seasons in Tasmania. …”
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GPD2 inhibition impairs coagulation function via ROS/NF-κB/P2Y12 pathway by Jiajie Chen, Guifeng Xu, Zhipeng Xie, Shaoxia Xie, Wenwei Luo, Shilong Zhong, Weihua Lai

“…Methods We utilized the 850k methylation array to measure DNA methylation levels in blood samples from 47 healthy controls and 93 patients with CHD. …”
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Precision diagnosis of tomato diseases for sustainable agriculture through deep learning approach with hybrid data augmentation by Kamaldeep Joshi, Sahil Hooda, Archana Sharma, Humira Sonah, Rupesh Deshmukh, Narendra Tuteja, Sarvajeet Singh Gill, Ritu Gill

“…Traditional disease identification methods are slow and require expertise, limiting their practicality in large-scale farming. …”
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Evaluating temporal changes in water quality due to urbanization: a multi-year observational study in Khalid Khor, Sharjah, UAE by Norhan Ahmed, Areej Mohammad, Sandra L. Knuteson, Sandra L. Knuteson, Fatin Samara, Fatin Samara, Fatin Samara

“…This study investigates the long-term temporal variations in key water quality parameters in Khalid Khor, Sharjah, UAE, from 2007 to 2023, to assess the influence of urban development on the aquatic environment.MethodsWater quality indicators including pH, dissolved oxygen (DO), total dissolved solids (TDS), electrical conductivity, temperature, and coliform concentrations were analyzed. …”
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A network meta-analysis of mind–body exercise interventions for internet addiction symptoms in young adults by Shiguan Jia, Zhihao Du, Dengshan Chu, Jiayi Yao, Haozhe Wang, Wenjia Chen, Dazhong Zhang, Xin Zang

“…Though these interventions show promise, their therapeutic efficacy exhibits considerable variation across different modalities. Currently, there exists a significant research gap, as no comprehensive clinical investigations have systematically evaluated the comparative therapeutic outcomes of distinct mind–body practices among individuals diagnosed with internet addiction.ObjectiveTo conduct a network meta-analytic investigation comparing the therapeutic efficacy of diverse mind–body exercise interventions for addressing symptoms associated with internet addiction disorder.MethodsData were retrieved from Web of Science, PubMed, CNKI, and VIP databases. …”
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