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  1. 51881

    Serum metabolome associated with novel and legacy per- and polyfluoroalkyl substances exposure and thyroid cancer risk: A multi-module integrated analysis based on machine learning by Fei Wang, Yuanxin Lin, Lian Qin, Xiangtai Zeng, Hancheng Jiang, Yanlan Liang, Shifeng Wen, Xiangzhi Li, Shiping Huang, Chunxiang Li, Xiaoyu Luo, Xiaobo Yang

    Published 2025-01-01
    “…PFHxA and PFDoA exposure associated with increased TC risk, while PFHxS and PFOA associated with decreased TC risk in single compound models (all P < 0.05). Machine learning algorithms identified PFHxA, PFDoA, PFHxS, PFOA, and PFHpA as the key PFAS influencing the development of TC, and mixed exposures have an overall positive effect on TC risk, with PFHxA making the primary contribution. …”
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  2. 51882

    Radiological abnormalities persist following COVID-19 and correlate with impaired health-related quality of life: a prospective cohort study of hospitalised patients by Rhian M Touyz, Ninian N Lang, Kevin G Blyth, Naveed Sattar, Patrick B Mark, Stefan Siebert, Colin Berry, Iain McInnes, Giles Roditi, Neil Basu, David Corcoran, Kenneth Mangion, Alex McConnachie, David Carrick, Jaclyn Carberry, Stuart Watkins, Paul Welsh, Sabrina Nordin, Katherine Scott, Christian Delles, Bernard Kelly, Fraser Goldie, John GF Cleland, Sharon Kean, Peter Kellman, David J Lowe, Andrew J Morrow, Antonia Ho, Rosemary Woodward, Tracey Hopkins, Ryan Wereski, Massimo Palmarini, Alasdair McIntosh, Campbell Rogers, Ammani Brown, Catherine Bagot, Kathryn Scott, Robert Sykes, Colin Church, Claire Rooney, Nicola Ryan, Clare Orange, Dirk Husmeier, Xiaoyu Luo, PETER W MACFARLANE, Heerajnarain Bulluck, Iain Findlay, Evonne McLennan, Michael Briscoe, Oliver Peck, Alastair J Rankin, Gruschen Veldtman, Varun Sharma, Kathryn McLaren, Elaine Butler, Sarah Mullen, Andrew Morrow, Patrick Mark, Daniel Doherty, Alexander Payne, Jennifer S Lees, Kaitlin J Mayne, Louise Inglis, Anna Kamdar, Hannah Bayes, Vivienne B Gibson, Lynsey Gillespie, Douglas Grieve, Pauline Hall Barrientos, Christopher McGinley, Connor Mckee, Sarah Allwood-Spiers, Sarah Weeden, Laura Knox, Lynn Abel, David Stobo, Andrew Dougherty, Liam Peng, David Barrie Stobo, Sylvia Wright, Stephen Dobbin, Keith Gillis, Sarah A Spiers, Ian Fergus, Kirsty Fallon, Lesley Gilmour, Chloe Cowan, Jurgen Van-Melckebeke, Kim Moran-Jones, Debra Stuart, Maureen Travers, Laura Dymock, Fiona Savage, Nicola Tynan, Sau Lee Chang, Mhairi Dupre, Lindsey Norton, George Bruce, Rosario Gonzalez-Lopez, Rebecca Stace, Dionne Russell, Jean Watt, Shahid Latif, Nick Hill, Amy Collinsworth, Ross McGeoch Vera Lennie, Robin P Weir

    Published 2025-02-01
    “…Older age, premorbid performance status, typical acute COVID-19 radiological features, markers of severe acute COVID-19, convalescent ICAM-1 and P-selectin were associated with persisting lung abnormalities (all p&lt;0.05). Patients with persisting abnormalities were shown to have lower levels of physical activity and predicted maximal oxygen utilisation (derived VO2) (both p&lt;0.05). …”
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  3. 51883

    The high-resolution global shipping emission inventory by the Shipping Emission Inventory Model (SEIM) by W. Yi, X. Wang, T. He, H. Liu, Z. Luo, Z. Lv, K. He

    Published 2025-01-01
    “…Concerning the major air pollutants and greenhouse gases, global ships emitted <span class="inline-formula">847.2×10<sup>6</sup></span> t of CO<span class="inline-formula"><sub>2</sub></span>, <span class="inline-formula">2.3×10<sup>6</sup></span> t of SO<span class="inline-formula"><sub>2</sub></span>, <span class="inline-formula">16.1×10<sup>6</sup></span> t of NO<span class="inline-formula"><sub><i>x</i></sub></span>, 791.2 kt of CO, 737.3 kt of HC (hydrocarbon), 415.5 kt of primary PM<span class="inline-formula"><sub>2.5</sub></span>, 61.6 kt of BC (black carbon), 210.3 kt of CH<span class="inline-formula"><sub>4</sub></span>, and 45.1 kt of N<span class="inline-formula"><sub>2</sub></span>O in 2021, accounting for 3.2 % of SO<span class="inline-formula"><sub>2</sub></span>, 14.2 % of NO<span class="inline-formula"><sub><i>x</i></sub></span>, and 2.3 % of CO<span class="inline-formula"><sub>2</sub></span> emissions from all global anthropogenic sources, based on the Community Emissions Data System (CEDS). …”
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  4. 51884

    Therapeutic role of miR-26a on cardiorenal injury in a mice model of angiotensin-II induced chronic kidney disease through inhibition of LIMS1/ILK pathway by Weijie Ni, Yajie Zhao, Jinxin Shen, Qing Yin, Yao Wang, Zuolin Li, Taotao Tang, Yi Wen, Yilin Zhang, Wei Jiang, Liangyunzi Jiang, Jinxuan Wei, Weihua Gan, Aiqing Zhang, Xiaoyu Zhou, Bin Wang, Bi-Cheng Liu, Yuanyuan Ji

    Published 2025-01-01
    “…Furthermore, knockout of miR-26a worsened inflammation and fibrosis in the heart and kidney by inhibiting the LIMS1/ILK signaling pathway; on the contrary, supplementation with exogenous miR-26a reversed all these changes. Conclusions:. Our findings suggest that miR-26a could be a promising therapeutic target for the treatment of cardiorenal injury in CKD. …”
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  5. 51885

    Koro Ve Orkestra /Oda Müziğinde Seslendirme/Yorumlama Başarım Gücü Üzerine Program Odaklı Bir İnceleme - A Program Based Analysis Of Performing Success In Choir And Orchestra/Chamb... by H. Seval Köse, M. Can Çiftçibaşı

    Published 2016-12-01
    “…In the music teaching undergraduate program, all A coded courses are examined in general. As for the choir and orchestra/chamber music courses, definitional curricula are examined “in terms of performance targets”. …”
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  6. 51886

    Interventional Effect and Mechanism of Acupuncture at Baihui (GV 20) and Qubin (GB 7) Acupoints on Rats with Acute Cerebral Hemorrhage by CHEN Qiuxin, TANG Yihe, LIU Xiaoying, XU Ning, XU Siyu

    Published 2024-04-01
    “…At 12 hours after model establishment, all subgroups of the acupuncture group received penetrative needling at Baihui (GV 20) and Qubin (GV 25) acupoints. …”
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  7. 51887
  8. 51888
  9. 51889

    Species Composition and Community Characteristics of Typical Intertidal Shellfish in Qingdao, China by Dashan YUAN, Zhihong LIU, Peizhen MA, Xiujun SUN, Liqing ZHOU, Zhuanzhuan LI, Dong XU, Biao WU

    Published 2025-02-01
    “…Qiantaoyuan in Langya, Aoshanwei, and Cangkou exhibited the highest Shannon-Wiener diversity and Margalef richness indices among all stations. Community clustering results varied between spring and autumn at each station. …”
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  10. 51890

    Prevalence and characterization of IncQ1α-mediated multi-drug resistance in Proteus mirabilis Isolated from pigs in Kunming, Yunnan, China by Hongmei Liu, Hongmei Liu, Hongmei Liu, Na Xia, Fanan Suksawat, Bundit Tengjaroenkul, Yue Hu, Xiaofeng Zhou, Xiaojiang Li, Cuiqin Huang, Yinli Bao, Qiong Wu, Chunrong Zhang, Sunpetch Angkititrakul, Bin Xiang, Xin Wu

    Published 2025-01-01
    “…Whole-genome multi-locus sequence typing, resistance group analysis, genomic island prediction, and plasmid structural gene analysis were performed.ResultsA total of 30 isolates were obtained from 230 samples, yielding a prevalence of 13.04%. All isolates exhibited multi-drug resistance, with 100% resistance to cotrimoxazole, erythromycin, penicillin G, chloramphenicol, ampicillin, and streptomycin. …”
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  11. 51891

    Higher education students' perceptions of ChatGPT: A global study of early reactions. by Dejan Ravšelj, Damijana Keržič, Nina Tomaževič, Lan Umek, Nejc Brezovar, Noorminshah A Iahad, Ali Abdulla Abdulla, Anait Akopyan, Magdalena Waleska Aldana Segura, Jehan AlHumaid, Mohamed Farouk Allam, Maria Alló, Raphael Papa Kweku Andoh, Octavian Andronic, Yarhands Dissou Arthur, Fatih Aydın, Amira Badran, Roxana Balbontín-Alvarado, Helmi Ben Saad, Andrea Bencsik, Isaac Benning, Adrian Besimi, Denilson da Silva Bezerra, Chiara Buizza, Roberto Burro, Anthony Bwalya, Cristina Cachero, Patricia Castillo-Briceno, Harold Castro, Ching Sing Chai, Constadina Charalambous, Thomas K F Chiu, Otilia Clipa, Ruggero Colombari, Luis José H Corral Escobedo, Elísio Costa, Radu George Crețulescu, Marta Crispino, Nicola Cucari, Fergus Dalton, Meva Demir Kaya, Ivo Dumić-Čule, Diena Dwidienawati, Ryan Ebardo, Daniel Lawer Egbenya, MoezAlIslam Ezzat Faris, Miroslav Fečko, Paulo Ferrinho, Adrian Florea, Chun Yuen Fong, Zoë Francis, Alberto Ghilardi, Belinka González-Fernández, Daniela Hau, Md Shamim Hossain, Theo Hug, Fany Inasius, Maryam Jaffar Ismail, Hatidža Jahić, Morrison Omokiniovo Jessa, Marika Kapanadze, Sujita Kumar Kar, Elham Talib Kateeb, Feridun Kaya, Hanaa Ouda Khadri, Masao Kikuchi, Vitaliy Mykolayovych Kobets, Katerina Metodieva Kostova, Evita Krasmane, Jesus Lau, Wai Him Crystal Law, Florin Lazăr, Lejla Lazović-Pita, Vivian Wing Yan Lee, Jingtai Li, Diego Vinicio López-Aguilar, Adrian Luca, Ruth Garcia Luciano, Juan D Machin-Mastromatteo, Marwa Madi, Alexandre Lourenço Manguele, Rubén Francisco Manrique, Thumah Mapulanga, Frederic Marimon, Galia Ilieva Marinova, Marta Mas-Machuca, Oliva Mejía-Rodríguez, Maria Meletiou-Mavrotheris, Silvia Mariela Méndez-Prado, José Manuel Meza-Cano, Evija Mirķe, Alpana Mishra, Ondrej Mital, Cristina Mollica, Daniel Ionel Morariu, Natalia Mospan, Angel Mukuka, Silvana Guadalupe Navarro Jiménez, Irena Nikaj, Maria Mihaylova Nisheva, Efi Nisiforou, Joseph Njiku, Singhanat Nomnian, Lulzime Nuredini-Mehmedi, Ernest Nyamekye, Alka Obadić, Abdelmohsen Hamed Okela, Dorit Olenik-Shemesh, Izabela Ostoj, Kevin Javier Peralta-Rizzo, Almir Peštek, Amila Pilav-Velić, Dilma Rosanda Miranda Pires, Eyal Rabin, Daniela Raccanello, Agustine Ramie, Md Mamun Ur Rashid, Robert A P Reuter, Valentina Reyes, Ana Sofia Rodrigues, Paul Rodway, Silvia Ručinská, Shorena Sadzaglishvili, Ashraf Atta M S Salem, Gordana Savić, Astrid Schepman, Samia Mokhtar Shahpo, Abdelmajid Snouber, Emma Soler, Bengi Sonyel, Eliza Stefanova, Anna Stone, Artur Strzelecki, Tetsuji Tanaka, Carolina Tapia Cortes, Andrea Teira-Fachado, Henri Tilga, Jelena Titko, Maryna Tolmach, Dedi Turmudi, Laura Varela-Candamio, Ioanna Vekiri, Giada Vicentini, Erisher Woyo, Özlem Yorulmaz, Said A S Yunus, Ana-Maria Zamfir, Munyaradzi Zhou, Aleksander Aristovnik

    Published 2025-01-01
    “…Moreover, students agreed on the need for AI regulations at all levels due to concerns about ChatGPT promoting cheating, plagiarism, and social isolation. …”
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  12. 51892

    SLC31A1 promotes chemoresistance through inducing CPT1A-mediated fatty acid oxidation in ER-positive breast cancer by Xudong Li, Jingjing Ge, Mengdi Wan, Tongtong Feng, Xiaoqian Li, Haibo Zhang, Zhangyan Wang, Yongsheng Gao, Meiting Chen, Fei Pan

    Published 2025-03-01
    “…Finally, our in vivo studies confirmed that SLC31A1 deficiency re-sensitized TAM-resistant breast cancer cells to TAM treatment and abolished tumor growth. Collectively, all our studies demonstrated that SLC31A1/copper suppression could enhance TAM responses for chemoresistant ER-positive breast cancer cells through constraining the CPT1A-mediated FAO process.…”
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  13. 51893

    An interpretable machine learning tool for in-home monitoring of agitation episodes in people living with dementia: a proof-of-concept studyResearch in context by Marirena Bafaloukou, Ann-Kathrin Schalkamp, Nan Fletcher-Lloyd, Alex Capstick, Chloe Walsh, Cynthia Sandor, Samaneh Kouchaki, Ramin Nilforooshan, Payam Barnaghi

    Published 2025-02-01
    “…Implementing the traffic-light system for stratification increased specificity to 90.3% ± 7.55 and improved all metrics. Key features for identifying agitation included low nocturnal respiratory rate, heightened alertness during sleep, and increased indoor illuminance, as revealed by statistical and feature importance analysis. …”
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  14. 51894

    Polysaccharides from sea buckthorn — Ultrasound-assisted enzymatic extraction, purification, structural characterization, and antioxidant activity analysis by Jing Wen, Ruijie Huang, Shi Li, Lin Jiang, Liheng Shao, Qin Zhang, Chunhui Shan

    Published 2025-02-01
    “…Notably, the surface microstructures of the SBPRs showed significant variations. Moreover, all SBPRs demonstrated commendable thermal stability and in vitro antioxidant activity. …”
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  15. 51895

    Dense Nursery Stock Detecting and Counting Based on UAV Aerial Images and Improved LSC-CNN by PENG Xiaodan, CHEN Fengjun, ZHU Xueyan, CAI Jiawei, GU Mengmeng

    Published 2024-09-01
    “…Finally, the model was trained using label smooth cross-entropy loss function and grid winner-takes-all strategy, emphasizing regions with highest losses to boost tree feature recognition.…”
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  16. 51896
  17. 51897

    Effects of Electroacupuncture at Zusanli and Quchi on Neurological Function Recovery in Rats with Cerebral Infarction by Jiangcong HONG, Yingzheng WANG, Guangwen WU, Yulong ZOU

    Published 2019-02-01
    “…The behavior scores of the rats in the EA group was higher than that of the model group(<italic>P</italic>&lt;0.05)after 7 and 14 days.2.No TTC staining could be observed in the sham-operated group at all the three time points. The staining was the strongest one day after the cerebral ischemia reperfusion, and the staining range was reduced later. …”
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  18. 51898
  19. 51899
  20. 51900

    Best evidence summary for nutritional management of cancer patients with chyle leaks following surgery by Jie Zhou, Wentao Huang, Ya Hu, Fen Liu, Man Xu, Xiaoping Chen, Mingzhu Xin, Huiming Lu, Xia Zheng

    Published 2025-01-01
    “…However, the existing evidence on nutritional management for this patient cohort fails to provide actionable clinical guidance.AimThis study was aimed to establish an evidence-based framework for nutritional management, offering reliable basis for clinical nursing practice.MethodsUtilizing the “6S” mode, we conducted a systematic search of UpToDate, BMJ, Best Practice, Cochrane Library, Joanna Briggs Institute (JBI) Center for Evidence-Based Health Care Database, National Guideline Clearinghouse (NGC), Guidelines International Network (GIN), National Institute for Health and Care Excellence (NICE), Scottish Intercollegiate Guidelines Network (SIGN), Registered Nurses' Association of Ontario (RNAO), World Health Organization, Medlive, American Society for Parenteral and Enteral Nutrition (ASPEN), European Society for Clinical Nutrition and Metabolism (ESPEN), Web of Science, PubMed, Embase, CINAHL, China Biology Medicine (CBM), and China National Knowledge Infrastructure (CNKI) for all evidence on the nutritional management of postoperative coeliac leakage in cancer patients. …”
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