Generating synthetic brain PET images of synaptic density based on MR T1 images using deep learning by Xinyuan Zheng, Patrick Worhunsky, Qiong Liu, Xueqi Guo, Xiongchao Chen, Heng Sun, Jiazhen Zhang, Takuya Toyonaga, Adam P. Mecca, Ryan S. O’Dell, Christopher H. van Dyck, Gustavo A. Angarita, Kelly Cosgrove, Deepak D’Souza, David Matuskey, Irina Esterlis, Richard E. Carson, Rajiv Radhakrishnan, Chi Liu

“…The image translation accuracy was evaluated based on the mean squared error, structural similarity index, percentage bias and Pearson’s correlation coefficient between the ground truth and the predicted images. …”
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Effects of caloric restriction and exercise-induced weight loss on physiological dysregulation in postmenopausal women: The mediating role of fat mass and adipose tissue distributi... by Éloïse Routhier, Martin Brochu, Alan A. Cohen, Denis Prudhomme, Ahmed Ghachem

“…Methods: Data from a total of 102 inactive overweight or obese postmenopausal women (CR: n = 68 vs CR + Ex: n = 34) were studied. …”
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Antibiotic Consumption Patterns in Urban Coari, Amazonas: High Azithromycin Use and COVID-19-Related Prescriptions by Rodrigo Silva Marcelino, Edivã Bernardo da Silva, Abel Santiago Muri Gama, Ananias Facundes Guimarães, Silvia Regina Secoli, Albert Figueras

“…<b>Methods</b>: A cross-sectional study was conducted between October and November 2021 in the urban area of Coari. 394 adults were interviewed using a structured questionnaire. Data on antibiotic use, sociodemographic factors, health service access, and self-reported illnesses were collected. …”
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A detailed investigation of induced residual stresses in the laser powder bed fusion process using the modified inherent strain approach and experimental measurements by Marjan Molavi-Zarandi, Ali Bonakdar, Hossein Mohammadtaheri, Mehran Bagheri, Ramin Sedaghati

“…While the MIS method aligns well with the experimental data at the surface level, discrepancies arise in deeper subsurface layers, where simulations tend to underestimate tensile residual stresses due to simplified MIS assumptions. …”
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Deep learning radiomics of left atrial appendage features for predicting atrial fibrillation recurrence by Yanping Yin, Sixiang Jia, Jing Zheng, Wei Wang, Ziwen Wang, Jiangbo Lin, Wenting Lin, Chao Feng, Shudong Xia, Weili Ge

“…Abstract Background Structural remodeling of the left atrial appendage (LAA) is characteristic of atrial fibrillation (AF), and LAA morphology impacts radiofrequency catheter ablation (RFCA) outcomes. …”
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Deep sphingolipidomic and metabolomic analyses of ceramide synthase 2 null mice reveal complex pathway-specific effects by Jeongah Oh, Sneha Muralidharan, Qing Zhao, Johannes Scholz, Iris D. Zelnik, Shani Blumenreich, Tammar Joseph, Tamir Dingjan, Pradeep Narayanaswamy, Hyungwon Choi, Heiko Hayen, Federico Torta, Anthony H. Futerman

“…The sphingolipidome contains thousands of structurally distinct sphingolipid (SL) species. This enormous diversity is generated by the combination of different long-chain bases (LCBs), N-acyl chains and head groups. …”
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Insights from one American Indian tribe about heart health by Sarah de Loizaga, McCall Miller, Barbie Giambra, LeCario Benashley, Billie Bones, Samantha Buonfiglio, Gwendena Lee Gatewood, Amanda Paxson, Teresa Pestian, Rachel Sarnacki, Rhiannon Walker, Dawnafe Whitesinger, Andrea Beaton, Lisa M. Vaughn

“…Methods: We used qualitative semi-structured interviews to examine Tribal experiences and perspectives surrounding heart health and health in general on Tribal lands. …”
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Sociodemographic factors associated with trajectories of depression among urban refugee youth in Kampala, Uganda: A longitudinal cohort study by Zerihun Admassu, Sikky Shiqi Chen, Carmen H. Logie, Moses Okumu, Frannie MacKenzie, Robert Hakiza, Daniel Kibuuka Musoke, Brenda Katisi, Aidah Nakitende, Peter Kyambadde, Lawrence Mbuagbaw

“…Sociodemographic (older age, gender [cisgender women vs. cisgender men], longer time in Uganda), and socioecological (structural: unemployment, food insecurity; interpersonal: parenthood, recent intimate partner violence) factors were significantly associated with the sustained high trajectory of depression. …”
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Empowering knowledge graphs with hybrid retrieval-augmented generation for the intelligent mix scheme of mass concrete by Yuqing Shang, Zhijiang Ke, Peng Lin, Qianhui Ren, Wenshan Zhang, Xiongwu Wang, Xiaotao Li, Fuyuan Gong, Shiqi Wang, Baofa Wang, Zhengkui Xu, Minglun Sun, Shunli Tan

“…Firstly, a total of 1723 mix proportioning records collected from 15 hydropower stations were structurally extracted using a customized data transformation tool. …”
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Uncovering the breeding contribution of transposable elements from landraces to improved varieties through pan-genome-wide analysis in rice by Xiaoxia Li, Xiaoxia Li, Xiaofan Dai, Xiaofan Dai, Huiying He, Wu Chen, Qian Qian, Qian Qian, Lianguang Shang, Lianguang Shang, Longbiao Guo, Wenchuang He

“…Advances in pan-genomes and enhanced capacity for analyzing structural variations have increasingly highlighted their role in rice genetic improvement. …”
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Medium-Chain Acyl-CoA Deficiency: Outlines from Newborn Screening, In Silico Predictions, and Molecular Studies by Serena Catarzi, Anna Caciotti, Janita Thusberg, Rodolfo Tonin, Sabrina Malvagia, Giancarlo la Marca, Elisabetta Pasquini, Catia Cavicchi, Lorenzo Ferri, Maria A. Donati, Federico Baronio, Renzo Guerrini, Sean D. Mooney, Amelia Morrone

“…Bioinformatics predictions based on both phylogenetic conservation and functional/structural software were used to characterize the new identified variants. …”
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A mixed-methods assessment of the Australasian Society of Genetic Counselors (ASGC) Mentor Program by Holly Canton, Rebecca Macintosh, Joanna Sweeting, Helen Mountain, Jodie Ingles, Amy Nisselle, Erin Turbitt, Alison McEwen, Laura Yeates

“…Methods: We used an explanatory mixed-method design with cross-sectional surveys deployed at baseline and follow-up and opt-in semi-structured interviews. Interview transcripts were analyzed using codebook thematic analysis, and data were integrated in a narrative approach. …”
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Preoperative subjective impairments in language and memory in brain tumor patients by Lena Rybka, Lena Rybka, Lena Rybka, Roel Jonkers, Roel Jonkers, Milena Burzlaff, Milena Burzlaff, Tizian Rosenstock, Tizian Rosenstock, Peter Vajkoczy, Thomas Picht, Thomas Picht, Katharina Faust, Adrià Rofes, Adrià Rofes

“…Group and subgroup analyses were conducted to provide general and tumor grade specific data.Results48.4% of patients mentioned co-occurrence of language and memory impairments in reading, writing, and conversation. …”
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The Effects of Foot and Mouth Disease on the Profitability of Smallholder Dairy Farms: Evidence from East Java, Indonesia by Nanang Febrianto, Budi Hartono, Eko Nugroho, Anie Eka Kusumastuti, Priyo Sugeng Winarto, Puji Akhiroh, Trinil Susilawati, Aulia Puspita Anugra Yekti, Putri Utami, Nurul Nadia Ramli, Muhammad Helmi

“…output analysis, economic losses were quantified on the basis of structured surveys and secondary data from affected dairy farmers. …”
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The use of technology and mobile health apps in child maltreatment interventions: Perspectives of TF-CBT therapists and SafeCare providers by Manderley Recinos, Kathryn O'Hara, Ashwini Tiwari, Daniel J. Whitaker, Christine Wekerle, Shannon Self-Brown

“…Data collection and analysis was guided by qualitative descriptive analysis. …”
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Quantifying hygroscopic deformation in lignocellulosic tissues: a digital volume correlation tool comparison by Kim Ulrich, Kim Ulrich, Fabian Scheckenbach, Tak Ming Wong, Tak Ming Wong, Tom Masselter, Silja Flenner, Anaclara Visconti, Anaclara Visconti, Anaclara Visconti, Martin Nopens, Andreas Krause, Sergej Kaschuro, Jakob Benedikt Mietner, Thomas Speck, Thomas Speck, Imke Greving, Berit Zeller-Plumhoff, Berit Zeller-Plumhoff, Linnea Hesse, Linnea Hesse

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Mechanisms of nurses’ AI use intention formation in Sichuan, Yunnan, and Beijing, China: mediating effects of AI literacy via self-efficacy-to-attitude pathways by Qin Zeng, Qin Zeng, Xi Huang, Xi Huang, Jun Zhu, Jun Zhu, Shaoyu Su, Shaoyu Su, Yanling Hu, Yanling Hu, Xiujuan Zhang, Xiujuan Zhang

“…Descriptive statistics, correlation analysis, and structural equation modeling (SEM) analysis were conducted using SPSS 26.0 and AMOS 26.0, with case weighting adjustments based on the total number of nurses in each region.ResultsOf the respondents, females accounted for 94.08%, those aged 40 and below accounted for 84.03%, and only 14.24% of nurses had received AI training. …”
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Genome-wide identification and gene expression analysis of the malate dehydrogenase (MDH) gene family in Eucalyptus grandis by Yifan Xing, Yifan Xing, Huiming Xu, Deming Yang, Lichuan Deng, Guolong Li, Guolong Li, Zhixin Zhao, Zhixin Zhao, Zhaohua Lu, Liuyin Ma, Guangyou Li

“…We identified 14 EgMDH genes and conducted phylogenetic, structural, and syntenic analyses to trace their evolutionary origins. …”
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Association between the use of herbal medicines during pregnancy and adverse fetal outcomes among mothers in eastern Ethiopia, 2023 by Tamirat Getachew, Abera Kenay Tura, Merga Dheresa, Shamble Niguse, Bikila Balis, Lemma Demissie Regassa, Addis Eyeberu

“…Methods: A community-based cross-sectional study was conducted among 882 randomly selected mothers from February 1, 2023 to November 1, 2023. Data were collected through face-to-face interviews using structured questionnaires adapted from previous literature. …”
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Evaluation of Screening Tool of Older People’s Prescriptions (STOPP) Criteria in an Urban Cohort of Older People with HIV by Lauren F. O’Connor, Jenna B. Resnik, Sam Simmens, Vinay Bhandaru, Debra Benator, La’Marcus Wingate, Amanda D. Castel, Anne K. Monroe

“…Negative binomial models were used to evaluate factors associated with PIP and structural equation modeling was used to evaluate whether symptom burden mediates the relationship between PIP and quality of life. …”
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