Evaluating the long-term impact of a distance learning course on attitudes, skills, practices, and knowledge in gender-affirming healthcare among healthcare professionals in Italy by Matteo Marconi, Ughetta Maria Favazzi, Pietro Carbone, Debora Guerrera, Angela Ruocco, Martina Manoli, Martina Manoli, Cristiana Barbati, Francesca Molinaro, Federica Maria Regini, Andrea Vittozzi, Alfonso Mazzaccara, Marina Pierdominici

“…The findings underscore the need for structural support and integrated reinforcement to embed gender-affirming care into routine practice.…”
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The risk associated with ultra-processed food intake on depressive symptoms and mental health in older adults: a target trial emulation by Belayneh Mengist, Mojtaba Lotfaliany, Julie A. Pasco, Bruno Agustini, Michael Berk, Malcolm Forbes, Melissa M. Lane, Suzanne G. Orchard, Joanne Ryan, Alice J. Owen, Robyn L. Woods, John J. McNeil, Mohammadreza Mohebbi

“…We applied inverse probability treatment weighting to balance confounders. Marginal structural models were employed to estimate the population-level average effect of intervention using generalised estimated equations. …”
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Exploring key factors related to child well-being: a community-based participatory research together with children with migration background residing in socio-economically disadvan... by Louise Burenby Yxne, Louise Burenby Yxne, Rathi Ramji, Rathi Ramji, Elisabeth Mangrio, Elisabeth Mangrio, Elisabeth Mangrio, Katarina Sjögren Forss, Katarina Sjögren Forss, Therese Sterner, Therese Sterner, Margareta Rämgård, Margareta Rämgård

“…The themes covered structural aspects, such as school, healthcare and human rights, but also more personal dimensions, like close relations and the near environment, related to Bronfenbrenner’s ecological theory of human development.ConclusionThe dialogs with the children provided a deeper understanding and a holistic view of the perceptions of children with migration backgrounds residing in socio-economically disadvantaged areas regarding essential factors for their well-being. …”
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Understanding Associations Between Patient‐Level Factors and Participation in a Breast Cancer Clinical Trial by Nicole E. Caston, Luqin Deng, Courtney P. Williams, Emily B. Levitan, Andres Azuero, Russell Griffin, Karen L. Smith, Antonio C. Wolff, Michelle E. Melisko, Eileen H. Shinn, Kathleen Gallagher, Rebekah Angove, Stephanie B. Wheeler, Gabrielle B. Rocque

“…Standardized total effects (bTot) were estimated using a prespecified Structural Equation Model with 0.1, 0.3, and 0.5 indicating weak, medium, and large magnitude, respectively. …”
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Clinical genome sequencing in patients with hereditary breast and ovarian cancer: Concept, implementation and benefits by Dennis Witt, Marc Sturm, Antje Stäbler, Benita Menden, Lisa Ruisinger, Kristin Bosse, Ines Gruber, Andreas Hartkopf, Silja Gauß, German Demidov, Nicolas Casadei, Elena Buena Atienza, Kira Mehnert, Janna Witt, Caspar Gross, Leon Schütz, Christopher Schroeder, Stephan Ossowski, Andreas Dufke, Tobias B. Haack, Olaf Riess, Ulrike Faust

“…GS offers a wealth of information, including the improved detection of structural variants, copy number variants, and parallel detection of complex genetic markers. …”
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The antioxidant property of CAPE depends on TRPV1 channel activation in microvascular endothelial cells by Miltha Hidalgo, Bárbara Railef, Vania Rodríguez, Carolina Navarro, Vanessa Rubio, Jorge Meneses-Pacheco, Sandra Soto-Alarcón, Christine Kreindl, Carolina Añazco, Leandro Zuñiga, Omar Porras

“…Herein, we hypothesized that a subfamily of TRP ion channels works as the molecular entity that recognizes CAPE at the plasma membrane and allows a fast shift in the antioxidant capacity of intact endothelial cells (EC).By monitoring cytoplasmic Ca2+ in a microvascular EC model, we compared the calcium responses evoked by three structurally related compounds: caffeic acid phenethyl ester, neochlorogenic acid and caffeic acid. …”
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Optical genome mapping: Unraveling complex variations and enabling precise diagnosis in dystrophinopathy by Jiahui Mai, Jing Duan, Xiaoyu Chen, Liqin Liu, Dachao Liang, Tao Fu, Gang Lu, Wai Yee Chan, Xufeng Luo, Feiqiu Wen, Jianxiang Liao, Zhuo Li, Xinguo Lu

“…We used the optical genome mapping (OGM) technology to detect and analyze uncommon mutations or structural variations (SVs) within the DMD gene, thus contributing to more precise clinical diagnoses. …”
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CTV-MIND: A cortical thickness-volume integrated individualized morphological network model to explore disease progression in temporal lobe epilepsy by Xinyan Liu, Jiaqi Han, Xiating Zhang, Boxuan Wei, Lu Xu, Qilin Zhou, Yuping Wang, Yicong Lin, Jicong Zhang

“…This study aimed to investigate progressive changes in TLE by constructing a novel individualized morphological brain network based on T1-weighted structural magnetic resonance imaging (MRI). MRI data were collected from 34 postoperative seizure-free TLE patients and 28 age- and sex-matched healthy controls (HC), with patients divided into LONG-TERM and SHORT-TERM groups. …”
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Safety of mycophenolate mofetil in systemic lupus erythematosus maintenance therapy: insights from the LUNA registry in a nationwide prospective cohort study by Ken-ei Sada, Shuhei Yoshida, Kenji Saito, Yuya Fujita, Eisuke Inoue, Kiyoshi Migita, Naoki Matsuoka, Hiroshi Kajiyama, Ryusuke Yoshimi, Kunihiro Ichinose, Yoshia Miyawaki, Shigeru Ohno, Nobuyuki Yajima, Yasuhiro Shimojima, Shuzo Sato, Michio Fujiwara, Keisuke Nishimura, Takashi Kida, Yuya Sumichika, Haruki Matsumoto, Jumpei Temmoku, Tomoyuki Asano, Shotaro Ogawa, Jumpei Fukita, Yusuke Matsuo, Takahisa Onishi

“…Statistical analyses employed marginal structural models with stabilised inverse probability of treatment weighting to adjust for confounders.Results The analysis included 1004 patients; the incidence of severe infections was 6.5% in the MMF group and 7.5% in the non-MMF group, with no significant difference (OR 0.69, 95% CI 0.34 to 1.39). …”
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The mediating role of physical activity avoidance in the association between weight stigma and physical activity by Po-Ching Huang, Hung-Ching Wu, Ji-Kang Chen, Xavier C.C. Fung, Nadia Bevan, Daniel Kwasi Ahorsu, Mark D. Griffiths, Jung-Sheng Chen, Kuo-Hsin Lee, Amir H. Pakpour, Chung-Ying Lin

“…Results: Structural equation modeling showed that weight-related self-stigma was significantly associated with PA avoidance (standardized coefficient [β] = 0.67, p < 0.01), and negatively associated with PA (β = −0.14, p < 0.01). …”
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Executive dysfunction relates to salience network desegregation in behavioural variant frontotemporal dementia by Melanie A. Matyi, Hamsanandini Radhakrishnan, Christopher A. Olm, Jeffrey S. Phillips, Philip A. Cook, Emma Rhodes, James C. Gee, David J. Irwin, Corey T. McMillan, Lauren Massimo

“…Given that behavioral variant frontotemporal degeneration (bvFTD) is a neurodegenerative disease associated with executive dysfunction and selective vulnerability of the salience network, we tested the hypotheses that bvFTD structural networks are de-differentiated compared to cognitively normal controls (CNC) and that network de-differentiation relates to worse executive function. …”
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Single-cell chromatin accessibility profiling reveals regulatory mechanisms and evolution in pig brains by Yue Xiang, Saixian Zhang, Yi Huang, Zhuqing Zheng, Jiahui Sun, Qiulin Zhao, Peng Zhou, Xiaolong Qi, Jingjin Li, Fuyang Xiong, Jing Xu, Shengquan Wang, Liangliang Fu, Xinyun Li

“…Abstract Background Pig brains serve as a valuable biomedical model for studying brain-related diseases due to their significant structural similarities to the human brain. Furthermore, the long-term domestication and artificial selection of domestic pigs have profoundly shaped their brains, making them an interesting subject for research. …”
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Newly diagnosed diseases and the frequency of their occurrence in patients after a new coronavirus infection. Results of an International Register "Dynamics Analysis of Comorbiditi... by G. P. Arutyunov, E. I. Tarlovskaya, A. G. Arutyunov, D. S. Polyakov, Yu. N. Belenkov, A. O. Konradi, Yu. M. Lopatin, A. P. Rebrov, S. N. Tereshchenko, A. I. Chesnikova, H. G. Hayrapetyan, A. P. Babin, I. G. Bakulin, N. V. Bakulina, L. A. Balykova, A. S. Blagonravova, M. V. Boldina, M. I. Butomo, A. R. Vaisberg, A. S. Galyavich, V. V. Gomonova, N. Yu. Grigoryeva, I. V. Gubareva, I. V. Demko, A. V. Evzerikhina, A. V. Zharkov, A. A. Zateishchikova, U. K. Kamilova, Z. F. Kim, T. Yu. Kuznetsova, A. N. Kulikov, N. V. Lareva, E. V. Makarova, S. V. Malchikova, S. V. Nedogoda, M. M. Petrova, I. G. Pochinka, K. V. Protasov, D. N. Protsenko, D. Yu. Ruzanov, S. A. Saiganov, A. Sh. Sarybaev, N. M. Selezneva, A. B. Sugraliev, I. V. Fomin, O. V. Khlynova, O. Yu. Chizhova, I. I. Shaposhnik, D. A. Schukarev, A. K. Abdrakhmanova, S. A. Avetisyan, H. G. Avoyan, K. K. Azaryan, G. T. Aimakhanova, D. A. Ayypova, A. Ch. Akunov, M. K. Alieva, A. R. Almukhambedova, O. Yu. Aparkina, O. R. Aruslanova, E. Yu. Ashina, O. Yu. Badina, O. Yu. Barysheva, T. I. Batluk, A. S. Batchaeva, R. A. Bashkinov, A. M. Bitieva, I. U. Bikhteev, N. A. Borodulina, M. V. Bragin, V. A. Brazhnik, A. M. Budu, G. A. Bykova, K. R. Vagapova, D. D. Varlamova, N. N. Vezikova, E. A. Verbitskaya, O. E. Vilkova, E. .A. Vinnikova, V. V. Vustina, E. A. Elena A. Galova, V. V. Genkel, D. B. Giller, E. D. Gordeychuk, E. I. Gorshenina, E. V. Grigoryeva, E. Yu. Gubareva, G. M. Dabylova, A. I. Demchenko, O. Yu. Dolgikh, M. Y. Duishobaev, D. S. Evdokimov, K. E. Egorova48, A. E. Zheldybaeva, N. V. Zarechnova, Yu. D. Zimina, S. Yu. Ivanova, E. Yu. Ivanchenko, M. V. Ilina, M. V. Kazakovtseva, E. V. Kazymova, Yu. S. Yuliya S. Kalinina, N. A. Kamardina, A. M. Karachenova, I. A. Karetnikov, N. A. Karoli, M. Kh. Karsiev, D. S. Kaskaeva, K. F. Kasymova, Zh. B. Kerimbekova, E. S. Kim, N. V. Kiseleva, D. A. Klimenko, O. V. Kovalishena, S. V. Kozlov, E. V. Kolmakova, T. P. Kolchinskaya, M. I. Kolyadich, O. V. Kondryakova, M. P. Konoval, D. Yu. Konstantinov, E. A. Konstantinova, V. A. Kordyukova, E. V. Koroleva, A. Yu. Kraposhina, T. V. Kryukova, A. S. Kuznetsova, T. Yu. Kuzmina, K. V. Kuzmichev, C. K. Kulchoroeva, T. V. Kuprina, I. M. Kuranova, L. V. Kurenkova, N. Yu. Kurchugina, N. A. Kushubakova, V. I. Levankova, A. A. Ledyaeva, T. V. Lisun, V. E. Lisyanskaya, N. A. Lyubavina, N. A. Magdeeva, K. V. Mazalov, V. I. Mayseenko, A. S. Makarova, A. M. Maripov, N. V. Markov, A. A. Marusina, E. S. Melnikov, A. I. Metlinskaya, N. B. Moiseenko, F. N. Muradova, R. G. Muradyan, Sh. N. Musaelyan, E. S. Nekaeva, N. M. Nikitina, S. E. Nifontov, E. Yu. Obolentseva, A. A. Obukhova, B. B. Ogurlieva, A. A. Odegova, Yu. V. Yuliya V. Omarova, N. A. Omurzakova, Sh. O. Ospanova, V. A/ Pavlova, E. V. Pakhomova, L. D. Petrov, S. S. Plastinina, D. A. Platonov, V. A. Pogrebetskaya, D. V. Polyakov, E. V. Ponomarenko, L. L. Popova, A. A. Potanin, N. A. Prokofieva, Yu. D. Rabik, N. A. Rakov, A. N. Rakhimov, N. A. Rozanova, S. Serikbolkyzy, Ya. A. Sidorkina, A. A. Simonov, V. V. Skachkova, R. D. Skvortsova, D. S. Skuridin, D. V. Solovieva, I. A. Solovieva, I. M. Sukhomlinova, A. G. Sushilova, D. R. Tagaeva, E. P. Tikhonova, D. S. Tokmin, A. A. Tolmacheva, M. S. Torgunakova, K. V. Trenogina, N. A. Trostyanetskaya, D. A. Trofimov, M. A. Trubnikova, A. A. Tulichev, A. T. Tursunova, N. D. Ulanova, O. V. Fatenkov, O. V. Fedorishina, T. S. Fil, I. Yu. Fomina, I. S. Fominova, I. A. Frolova, S. M. Tsvinger, V. V. Tsoma, M. B. Cholponbaeva, T. I. Chudinovskikh, I. V. Shavrin, O. A. Shevchenko, D. R. Shikhaliev, E. A. Shishkina, K. Yu. Shishkov, S. Yu Shcherbakov, G. V. Shcherbakova, E. A. Yausheva

“…Demographic, clinical, and laboratory data, computed tomography (CT) results, information about inhospital clinical course and complications of COVID-19 during hospitalization were extracted from electronic health records using a standardized data collection form. …”
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Advances in diffuse glial tumors diagnosis by Luis Filipe de Souza Godoy, Vitor Ribeiro Paes, Aline Sgnolf Ayres, Gabriela Alencar Bandeira, Raquel Andrade Moreno, Fabiana de Campos Cordeiro Hirata, Frederico Adolfo Benevides Silva, Felipe Nascimento, Guilherme de Carvalho Campos Neto, Andre Felix Gentil, Leandro Tavares Lucato, Edson Amaro Junior, Robert J. Young, Suzana Maria Fleury Malheiros

“…This article will explore morphologic pathology and molecular/genetics techniques (immunohistochemistry, genetic sequencing, and methylation profiling), which are pivotal in diagnosis, besides the correlation of structural neuroimaging radiophenotypes to pathology and genetics. …”
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Deep dive into hydrologic simulations at global scale: harnessing the power of deep learning and physics-informed differentiable models (<i>δ</i>HBV-globe1.0-hydroDL) by D. Feng, D. Feng, D. Feng, H. Beck, J. de Bruijn, J. de Bruijn, R. K. Sahu, Y. Satoh, Y. Wada, J. Liu, M. Pan, K. Lawson, C. Shen

“…Nevertheless, relative to LSTM, the differentiable model was hampered by structural deficiencies for cold or polar regions, highly arid regions, and basins with significant human impacts. …”
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Targeted Isolation of ω-3 Polyunsaturated Fatty Acids from the Marine Dinoflagellate <i>Prorocentrum lima</i> Using DeepSAT and LC-MS/MS and Their High Activity in Promoting Microg... by Chang-Rong Lai, Meng-Xing Jiang, Dan-Mei Tian, Wei Lu, Bin Wu, Jin-Shan Tang, Yi Zou, Song-Hui Lv, Xin-Sheng Yao

“…Through this approach, four new (<b>1</b>–<b>4</b>) and nine known (<b>5</b>–<b>13</b>) PUFA analogues were obtained from large-scale cultures of the marine dinoflagellate <i>Prorocentrum lima</i>, with lipidomic profiling identifying FA18:5 (<b>5</b>), FA18:4 (<b>7</b>), FA22:6 (<b>8</b>), and FA22:6 methyl ester (<b>11</b>) as major constituents of the algal oil extract. Structural elucidation was achieved through integrated spectroscopic analyses of IR, 1D and 2D NMR, and HR-ESI-MS data. …”
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E2F1-induced autocrine IL-6 inflammatory loop mediates cancer-immune crosstalk that predicts T cell phenotype switching and therapeutic responsiveness by Alf Spitschak, Prabir Dhar, Krishna P. Singh, Rosaely Casalegno Garduño, Shailendra K. Gupta, Shailendra K. Gupta, Julio Vera, Luca Musella, Nico Murr, Anja Stoll, Brigitte M. Pützer, Brigitte M. Pützer

“…To explore E2F1’s role in immune regulation in presence of aggressive melanoma cells, we established a coculture system and utilized transcriptome and cytokine arrays combined with bioinformatics and structural modeling. We identified an E2F1-dependent gene regulatory network with IL6 as a central hub. …”
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Etiological mechanisms underlying the hazard factors and inflammatory bowel disease: a prospective cohort study by Yi Tao, Yongjia Li, Tianyi Zhou, Lei Zhao, Pan Li, Minghong Sun, Lijuan Zhang, Lihong Yang, Ting Chen, Xuemei Lian, Xiaoni Zhong

“…Finally, we constructed a structural equation model to elucidate the complex pathogenic mechanisms and interactions among genetic risks, lifestyle factors, dietary habits, comorbidities, and immune metabolism in the progression of IBD. …”
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Facial Expression Recognition and Digital Images Infosecurity for Prevention Care System Application in Sudden Infant Death Syndrome Monitoring by Chih-Te Tsai, Chia-Hung Lin, Hsiang-Yueh Lai, Yu-En Cheng, Ping-Tzan Huang, Neng-Sheng Pai, Chien-Ming Li

“…For image infosecurity testing, the number of pixel changing rate (NPCR), unified averaged changed intensity (UACI), and structural similarity index measurement (SSIM) were employed to evaluate the performances for encryption and decryption processes, ensuring confidentiality, recoverability, and availability of transmitted images. …”
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For-profit growth and academic decline: a retrospective nationwide assessment of Brazilian medical schools by Bruno B. Andrade, Bruno B. Andrade, Klauss Villalva-Serra, Klauss Villalva-Serra, Rodrigo C. Menezes, Rodrigo C. Menezes, Luiz F. Quintanilha, Katia de Miranda Avena, Katia de Miranda Avena

“…These patterns suggest a structural misalignment between the commercial logic of expansion and the core educational mission of medical training. …”
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