Intelligent single-cell manipulation: LLMs- and object detection-enhanced active-matrix digital microfluidics by Zhiqiang Jia, Chen Jiang, Jiahao Li, Yacine Belgaid, Mingfeng Ge, Li Li, Siyi Hu, Xing Huang, Tsung-Yi Ho, Wenfei Dong, Zhiwen Yu, Hanbin Ma

“…Abstract Single-cell analysis is crucial for deciphering cellular heterogeneity and understanding complex biological systems. …”
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Retrospective study of definitive therapy for head and neck mucosal melanoma: The RESUME study by Motoo Nomura, Naomi Kiyota, Yasushi Shimizu, Atsushi Motegi, Tetsuo Akimoto, Takashi Mukaigawa, Takashi Fujii, Nayuta Tsushima, Kiyoto Shiga, Taiji Koyama, Daisuke Kawakita, Akira Ohkoshi, Mitsuhiko Nakahira, Nobuhiro Hanai, Shigeyuki Murono, Tsutomu Ueda, Hiroki Mitani, Mutsukazu Kitano, Junichiro Ohori, Yuki Saito, Nobuhiko Oridate, Naoki Nishio, Hisayuki Kato, Kenji Okami, Takenori Ogawa, Yasushi Fujimoto, Mioko Matsuo, Kiyoaki Tsukahara, Morimasa Kitamura, Satoshi To, Shujiro Minami, Yosuke Ariizumi, Soichi Fumita, Akihiro Homma

“…Progression-free survival (PFS) and overall survival (OS) were compared between the S and RT cohorts and between those with and without ICI using propensity score-adjusted models. Results: A total of 304 patients were enrolled: 152 in the S cohort and 152 in the RT cohort. …”
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A New Approach to Decision-Making Problem under Complex Pythagorean Fuzzy Information by Shakoor Muhammad, Riaz Ali, Saleem Abdullah, Samuel Okyere

“…Furthermore, the viability and applicability of the propounded method are certified by a detailed analysis with the other approaches researched in the past.…”
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Channel Management for Digital Products in the Two-sided Market with Network Externality Effects by Wei Li, Yan-Peng He, Shu-Gang Ma

“…The optimization models are solved through the Lagrangian method, and the comparative statics analysis is conducted to investigate the effect of network externality on optimality. …”
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Early detection of esophageal cancer: Evaluating AI algorithms with multi-institutional narrowband and white-light imaging data. by Young Seo Baik, Hannah Lee, Young Jae Kim, Jun-Won Chung, Kwang Gi Kim

“…This study demonstrates an effective method for detecting esophageal tumors through AI-based esophageal endoscopic image analysis. …”
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Endovascular treatment for cerebral venous thrombosis: a multicenter study in China by He-Tao Bian, Xia Wang, Gui-You Liu, Chen Zhou, Ran Meng, Lan Liu, Jian-Gang Duan, Feng Yan, Chuan-Hui Li, Min Li, Wen Hui, Xu-Xiang Zhang, Dong Zhao, Ya-Peng Li, Qi Fang, De-Zhi Kang, Hong-Liang Zeng, Zhi-Jian Liang, Zheng-Hao Shi, Wei Yue, Qin-Jian Sun, Gui-Sheng Chen, Jian-Long Song, Zhong-Rui Yan, Qiu-Hong Ji, Kai-Jie Wang, Lu-Sha Tong, Xiao Hu, Wen-Feng Cao, Wei Yan, Rui-Jiang Gao, Qi Li, Jian-Yi Wang, Yi Liu, Bao-Jun Wang, Xiao-Hua Wang, Sheng-Tao Yao, Ye Lang, Hai-Peng Li, Craig S. Anderson, Xun-Ming Ji, on behalf of the RETAIN-CH Investigators and Coordinators

“…Propensity score weighting models were used to adjust baseline confounding variables to determine the association of EVT on the primary outcome of good functional status, defined as score 0 − 1 on the modified Rankin Scale after hospital discharge. …”
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PDGF-BB overexpressing dental pulp stem cells improve angiogenesis in dental pulp regeneration by Wentao Jiang, Wentao Jiang, Wentao Jiang, Wentao Jiang, Shuhan Duan, Shuhan Duan, Shuhan Duan, Shuhan Duan, Weiping Li, Huijiao Yan, Huijiao Yan, Huijiao Yan, Huijiao Yan, Chenli Si, Chenli Si, Chenli Si, Ningwei Xu, Ningwei Xu, Ningwei Xu, Ningwei Xu, Yishuai Li, Yishuai Li, Yishuai Li, Yishuai Li, Wenjie Zhang, Wenjie Zhang, Wenjie Zhang, Wenjie Zhang, Shensheng Gu, Shensheng Gu, Shensheng Gu, Shensheng Gu

“…Through Single-cell RNA sequencing (scRNA-seq) analysis of human dental pulp, we discovered a PDGF (+) mesenchymal subset exhibiting enhanced angiogenic signatures, suggesting targeted cell selection could overcome this bottleneck.MethodsScRNA-seq identified PDGF (+) subpopulation in human pulp samples, validated through multiplex immunohistochemical of the localization of PDGF/CD73/CD31. …”
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Enhancing Consumer Insights Through Multimodal Artificial Intelligence and Affective Computing by Ines Cesar, Ivo Pereira, Fatima Rodrigues, Vera L. Migueis, Susana Nicola, Ana Madureira, Jose Luis Reis, Jose Paulo Marques Dos Santos, Duarte Coelho, Daniel Alves De Oliveira

“…The results underscore the practical viability of the suggested method, promoting progress in multimodal sentiment analysis to extract actionable consumer insights in marketing.…”
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A Study on Short-Term Water-Demand Forecasting Using Statistical Techniques by Jungwon Yu, Hyansu Bae, Mi-Seon Kang, Kwang-Ju Kim, In-Su Jang

“…In the proposed method, training datasets are prepared through exploratory data analysis, several data preprocessing steps, and an input selection step; also, forecasting models are constructed by support vector regression. …”
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Metabolic Acidosis Is Associated With an Accelerated Decline of Allograft Function in Pediatric Kidney Transplantation by Agnieszka Prytula, Rukshana Shroff, Ineke van Gremberghe, Kai Krupka, Justine Bacchetta, Elisa Benetti, Ryszard Grenda, Isabella Guzzo, Nele Kanzelmeyer, Bahar Büyükkaragöz, Birgitta Kranz, Hülya Nalçacıoğlu, Jun Oh, Lars Pape, Mohan Shenoy, Anne-Laure Sellier-Leclerc, Burkhard Tönshoff, Gema Ariceta, Atif Awan, Sevcan Bakkaloğlu, Marjolein Bonthuis, Charlotte Bootsma Robroeks, Antonia Bouts, Martin Christian, Marlies Cornelissen, Ali Duzova, Nasrin Esfandiar, Luciana Ghio, Ryszard Grenda, Isabella Guzzo, Maria Herrero Goni, Julien Hogan, Nattaphorn Hongsawong, Nele Kanzelmeyer, Aysun Karabay Bayazit, Gülşah Kaya Aksoy, Noel Knops, Linda Koster Kamphuis, Daniella Levy Erez, Victor Lopez-Baez, Alvaro Madrid, Stephen Marks, Anette Melk, Luisa Murer, Lars Pape, Licia Peruzzi, Edita Petrosyan, Evgenia Preka, Nikoleta Printza, Andreea Liana Rachisan, Ann Raes, Mohan Shenoy, Oguz Soylemezoglu, Luca Dello Strologo, Ana Teixeira, Rezan Topaloglu, Markus Weitz, Jakub Zieg, Galia Zlatanova, Christian Patry, Jerome Harambat, Ayşe Ağbaş, Varvara Askiti, Marina Avramescu, Justine Bacchetta, Sevcan Bakkaloglu, Marjolein Bontuis, Caroline Booth, Laurene Dehoux, Giacomo Dizazzo, Dorota Drozdz, Ismail Dursun, Michaela Gessner, Jaap Groothoff, Giuliana Guido, Isabella Guzzo, Aysun Karabay Bayazit, Guenter Klaus, Linda Koster-Kamphuis, Alexander Lalayiannis, Maren Leifheit-Nestler, Sinha Manish, Chiara Matteucci, Jun Oh, Ozan Ozkaya, Edita Petrosyan, Christine Pietrement, Agnieszka Prytula, George Reusz, Franz Schaefer, Claus Peter Schmitt, Anne Schön, Fatma Lale Sever, Stella Stabouli, Serra Sürmeli Döven, Camilla Tondel, Enrico Verrina, Enrico Vidal, Dean Wallace, Zainab Arslan, M. Bald, H. Fehrenbach, D. Haffner, M. Hansen, C. Hempel, U. John, G. Klaus, J. König, B. Lange-Sperandio, D. Müller, J. Oh, L. Pape, M. Pohl, K. Sauerstein, G. Schalk, H. Staude, P. Strotmann, L.T. Weber, M. Weitz, L. Berta, K. Heindl-Rusai

“…Marginal structural models showed similar results (HR, 1.75; 95% CI, 1.32–2.31 and HR, 2.09; 95% CI, 1.23–3.55, respectively). …”
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Exploring the impact of chronic urticaria profile as a key predictor of alexithymia: A cross‐sectional study by Ivan Cherrez‐Ojeda, Simon Francis Thomsen, Ana M. Gimenez‐Arnau, Jennifer Astrup Sørensen, Hermenio Lima, Kiran Godse, Carole Guillet, Luis Escalante, Astrid Maldonado, Gonzalo Federico Chorzepa, Blanca Morfin‐Maciel, Jose Ignacio Larco Sousa, Erika deArruda‐Chaves, Abhishek De, Daria Fomina, Anant Patil, Roberta Jardim Criado, Luis Felipe Ensina, Solange O. R. Valle, Rosana Câmara Agondi, Herberto Chong Neto, Nelson Rosario, German Dario Ramon, Marco Faytong‐Haro, Isabel Ogueta, Ivan Tinoco Moran, Jennifer Donnelly, Emek Kocatürk, Anna Zalewska‐Janowska, Karla Robles‐Velasco

“…Regression models were used to investigate the relationship between clinical and demographic factors of patients with CU as key predictors of alexithymia. …”
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Composite Fault Prediction of Bearing Based on Cascaded Long Short Term Memory Neural Network by JIANG Xuyao, LIN Qunxu, HOU Zhicheng, ZHANG Gong, ZHANG Jinyue, YANG Gen

“…At present, resonance demodulation and data envelopment analysis, etc are usually used for health evaluation and remaining life prediction of bearings, but there are some problems such as difficulty in extracting health degree, single fault prediction type, and lack of reliable models. …”
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FirstCPR: A pragmatic community organisation-based cluster randomised trial to increase community training and preparedness to respond to out-of-hospital cardiac arrest by Sonali Munot, Julie Redfern, Janet E Bray, Blake Angell, Andrew Coggins, Alan Robert Denniss, Garry Jennings, Sarah Khanlari, Pramesh Kovoor, Saurabh Kumar, Kevin Lai, Simone Marschner, Paul M. Middleton, Ian Oppermann, Zoe Rock, Christopher Semsarian, Matthew Vukasovic, Adrian Bauman, Clara K. Chow

“…Outcomes were assessed via surveys at 12 months and pre-specified analysis involved hierarchical mixed-models. Results: Of 165 randomised clusters (82 intervention), 58% were sports and 42% were social/faith-based. …”
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GPATCH3, a splicing regulator that facilitates tumor immune evasion via the modulation of ATPase activity of DHX15 by Tingrong Ren, Gaigai Wei, Gaigai Wei, Jingjing Yi, Jingjing Yi, Yuqi Zhang, Haiping Zhao, Nana Wu, Huiling Zhang, Zhihan Guo, Yihan Wang, Jiating Kuang, Zhaoying Sheng, Duanwu Zhang

“…In vitro and in vivo models, including GPATCH3-depleted cell lines and mouse xenografts, were used to assess its roles in tumor progression. …”
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A High-resolution Spectroscopic Survey of Directly Imaged Companion Hosts. I. Determination of Diagnostic Stellar Abundances for Planet Formation and Composition by Aneesh Baburaj, Quinn M. Konopacky, Christopher A. Theissen, Sarah Peacock, Lori Huseby, Benjamin J. Fulton, Roman Gerasimov, Travis S. Barman, Kielan K. W. Hoch

“…However, we find a supersolar C/O (0.81 ± 0.14) for HD 206893 through spectral modeling. The ratios obtained using the equivalent-width method agree with those obtained using spectral modeling but have higher uncertainties (∼0.3 dex). …”
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Fumarprotocetraric acid and geraniin were identified as novel inhibitors of human respiratory syncytial virus infection in vitro by Chao Wang, Chao Wang, Yi-Man Huang, Yi-Man Huang, Jun Zhao, Jun Zhao, Yi-Ming Bai, Yi-Ming Bai, Cai-Qin Yan, Cai-Qin Yan, Guan-Hua Du, Guan-Hua Du, Li-Shu Zheng, Li-Shu Zheng, Ai-Lin Liu, Ai-Lin Liu

“…In this study, natural products were screened to identify novel anti-RSV inhibitors.MethodsThe antiviral effect of 320 compounds on RSV in HEp-2 cells was tested using a Cytopathic effect (CPE) inhibition assay. …”
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Systematic Review of the Effects of Iron on Cardiovascular, Kidney, and Safety Outcomes in Patients With CKD by Bernard Chan, Amanda Varghese, Sunil V. Badve, Roberto Pecoits-Filho, Murilo Guedes, Clare Arnott, Rebecca Kozor, Emma O’Lone, Min Jun, Sradha Kotwal, Geoffrey A. Block, Glenn M. Chertow, Scott D. Solomon, Muthiah Vaduganathan, Vlado Perkovic, Brendon L. Neuen

“…We evaluated the effects of iron versus usual care or placebo on the clinical outcomes in patients with CKD. Methods: We conducted a systematic review and meta-analysis of randomized trials on i.v. or oral iron in patients with CKD (PROSPERO CRD42023453468). …”
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Multicenter validation of an RNA-based assay to predict anti-PD-1 disease control in patients with recurrent or metastatic head and neck squamous cell carcinoma: the PREDAPT study by Howard L McLeod, A Dimitrios Colevas, Georges Azzi, Kevin C Flanagan, Douglas Adkins, Jessica Ley, Ezra E W Cohen, James Wade, Jon Earls, Jeffrey Hiken, Rachel L Wellinghoff, Michelle M Ponder, William H Westra, Vera Vavinskaya, Leisa Sutton, Ida Deichaite, Orlan K Macdonald, Karim Welaya, Andrew W Pippas, Jennifer Slim, Bruce Bank, Xingwei Sui, Steven E Kossman, Todd D Shenkenberg, Warren L Alexander, Katharine A Price, David N Messina, Jarret I Glasscock, Eric J Duncavage

“…There is a critical clinical need to identify patients who benefit from these antiprogrammed cell death protein 1 (anti-PD-1) immune checkpoint inhibitors.Methods Here, we report findings from a multicenter observational study, PREDicting immunotherapy efficacy from Analysis of Pre-treatment Tumor biopsies (PREDAPT), conducted across 17 US healthcare systems. …”
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Sexual dimorphism in the association of umbilical cord blood lipidome with abdominal fat in early childhood by Kothandaraman Narasimhan, Mya Thway Tint, Li Chen, Sartaj Ahmad Mir, Suresh Anand Sadananthan, Navin Michael, Adaikalavan Ramasamy, Karen Mei-Ling Tan, Priti Mishra, Anne K. Bendt, Kok Hian Tan, David Cameron-Smith, Yap Seng Chong, Peter D. Gluckman, Peter J. Meikle, Melvin Khee Shing Leow, Fabian Yap, Yung Seng Lee, Chan Shiao Yng, Johan G. Eriksson, S Sendhil Velan, Neerja Karnani, Markus R. Wenk

“…Abdominal fat compartments—superficial subcutaneous adipose tissue (sSAT), deep SAT (dSAT), and intra-abdominal adipose tissue (IAT)—were quantified by magnetic resonance imaging within 2 weeks of birth in 239 subjects. Linear regression models were used to assess sex differences in lipid species associated with abdominal fat compartments. …”
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Clonal divergence and genomic meltdown in prostatic pleomorphic giant cell adenocarcinoma by Xiaoshi Ma, Xiaoshi Ma, Kun Chen, Kun Chen, Jing Zhang, Liming Liu, Liming Liu, Jiping Luo, Kaipeng Huang, Hongying Zhang, Danni Liu, Jizhou Gou, Changyin Feng, Xia Zhao, Wanying Li, Lipeng Chen, Li Yin, Li Yin, Li Yin, Xianlin Meng, Zhiqiang Cheng, Zhiqiang Cheng

“…This study presents the first integrative clinicogenomic profiling of PGCA, revealing a novel prognostic gene signature with direct implications for diagnosis and treatment.MethodsWe conducted comprehensive clinicopathological and genomic analyses of a treatment-refractory PGCA case using histology, immunohistochemistry (IHC), whole-exome sequencing (WES), clonal evolution modeling, and multicohort validation. …”
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