Generative artificial intelligence acceptance, anxiety, and behavioral intention in the middle east: a TAM-based structural equation modelling approach by Mona Gamal Mohamed, Polat Goktas, Shimaa Abdelrahim Khalaf, Aycan Kucukkaya, Ibrahim Al-Faouri, Ebtisam Abd Elazeem Saber Seleem, Awatef Ibraheem, Aya M. Abdelhafez, Saleh O. Abdullah, Hanan Nasef Zaki, Abdulqadir J. Nashwan

“…Descriptive statistics, confirmatory factor analysis, and path analysis were performed using SPSS and Python’s semopy library. …”
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Mortality and its predictors among people with dementia receiving psychiatric in-patient care by Oriane E. Marguet, Shanquan Chen, Emad Sidhom, Emma Wolverson, Gregor Russell, George Crowther, Simon R. White, Jonathan Lewis, Rebecca Dunning, Shahrin Hasan, Benjamin R. Underwood

“…We attempted to identify predictors of mortality and build predictive machine learning models. To investigate deaths occurring during admission, we conducted a second analysis as a retrospective service evaluation involving mental health wards for people with dementia at four NHS trusts, including 1976 admissions over 7 years. …”
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From Clinical Presentation to Genetic Confirmation: A Case of L2HGDH-Related Leukodystrophy in an 11-Year-Old by Negareh Poursalehi, Mojtaba Movahedinia, Mohammad Hossein Mohammadi, Mohamammad Ebrahim Ghanei, Mohammad Yahya Vahidi Mehrjerdi, Seyed Mehdi Kalantar

“…In silico studies, including protein structural modeling and docking analyses, were conducted using Phyre-2 tools to further investigate the molecular consequences of the mutation in L2HGDH.Result: After the filtration the data obtained from Whole exome sequencing of the patient identified a homozygous missense mutation (c.751C>T; p. …”
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THE PAINTINGS OF ILYA GLAZUNOV THROUGH THE PRISM OF THE METHODOLOGIES OF SERGEI EISENSTEIN AND LEV VYGOTSKY / ЖИВОПИСЬ ИЛЬИ ГЛАЗУНОВА СКВОЗЬ ПРИЗМУ МЕТОДОЛОГИИ СЕРГЕЯ ЭЙЗЕНШТЕЙНА... by KONSON GRIGORIY R. / КОНСОН Г.Р.

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Identification of CTSK as a TLR-related critical biomarker in liver cirrhosis via integrative bioinformatics and pathological characterization by Jiaxin Wang, Ning Li, Xueyu Cang, Xuerong Liu, Ranyan Gao, Lingyi Xu, Fengchun Li, Xinyu Jiang, Hongliang Chen, Xinyu Geng, Jihan Qi, Ram Prasad Chaulagain, Junchong He, Shizhu Jin

“…Here, we identified TLR-related genes, providing novel insights related to LC diagnosis, pathogenesis, and treatment. Data from public databases were analyzed using “limma” and WGCNA to screen candidate genes, and four hub genes (CXCL9, CXCL10, SPP1, CTSK) were selected through machine learning. …”
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Identification of a stable immunosuppressive molecular subtype in esophageal squamous cell carcinoma based on inflammation‐related genes by Yuan Yin, Zhiyan Zou, Jianjun Wang, Xueting Zheng, Mingsong Shi, Jie Ren, Zhaodong Li, Jiwen Luo, Xiaoan Li

“…The most stable subtype across datasets was identified using a SubMap analysis. The immune status and molecular characteristics of the stable subtype were explored by comparing with other subtypes, and a classifier was constructed and evaluated using machine learning methods. …”
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Zero-Shot Eggshell Crack Detection Using Grounding DINO and FFT-Based Outer-to-Inner Ring Energy Ratio by Tomorn Soontornnapar, Tuchsanai Ploysuwan

“…This study presents a novel approach to eggshell crack detection by integrating zero-shot learning with advanced image analysis techniques. The proposed method utilizes a hybrid dataset composed of a custom hen egg collection&#x2014;50 tray images containing 30 eggs each arranged in a <inline-formula> <tex-math notation="LaTeX">$6\times 5$ </tex-math></inline-formula> grid&#x2014;and the Botta et al. duck egg dataset, comprising approximately 1,000 images of cracked and intact eggs. …”
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Multisensory BCI promotes motor recovery via high-order network-mediated interhemispheric integration in chronic stroke by Rongrong Lu, Zhen Pang, Tianhao Gao, Zhijie He, Yiqian Hu, Jie Zhuang, Qin Zhang, Zhengrun Gao

“…Functional MRI was used to examine brain activation patterns during upper limb tasks, while Granger causality analysis and machine learning evaluated inter-regional connectivity changes and their predictive value for recovery. …”
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Can intraoperative improvement of radial endobronchial ultrasound imaging enhance the diagnostic yield in peripheral pulmonary lesions? by Kazuki Nishida, Takayasu Ito, Shingo Iwano, Shotaro Okachi, Shota Nakamura, Basile Chrétien, Toyofumi Fengshi Chen-Yoshikawa, Makoto Ishii

“…The regression model revealed that the improvement in intraoperative R-EBUS findings was associated with a high diagnostic yield (odds ratio: 3.55, 95% confidence interval, 1.57–8.06, p = 0.002). Machine learning analysis indicated that inner lesion location and radiographic visibility were the most influential predictors of successful repositioning. …”
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Biparametric MRI-based radiomics for noninvastive discrimination of benign prostatic hyperplasia nodules (BPH) and prostate cancer nodules: a bio-centric retrospective cohort study by Yangbai Lu, Runqiang Yuan, Yun Su, Zhiying Liang, Hongxing Huang, Qu Leng, Ang Yang, Xuehong Xiao, Zhaoqi Lai, Yongxin Zhang

“…The clinical model was constructed using logistic regression analysis. Radiomic models were created by comparing seven machine learning classifiers. …”
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Carbon stock dynamics of forest to oil palm plantation conversion for ecosystem rehabilitation planning by D. Frianto, E. Sutrisno, A. Wahyudi, E. Novriyanti, W.C. Adinugroho, A.S. Yunianto, H. Kurniawan, H. Khotimah, A. Windyoningrum, I.W.S. Dharmawan, H.L. Tata, S. Suharti, H.H. Rachmat, E.M. Lim

“…Data analysis was carried out using Classification and Regression Tree, a decision tree algorithm used in machine learning for guided classification. …”
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Proposta de ensino na EJA: alguns sentidos dialógicos analisados à luz da teoria freiriana by Mariluci Almeida da Silva, Janine Moreira

“…Data analysis was by categories. This article presents the analysis of three of these categories: dialogue as respect, dialogue as a facilitator of good relationships, dialogue as an affection form, also as the analysis of data investigated in the School Regiment. …”
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A phenomenological study of knowledge concealment in country water and sewage engineering company by Gholamreza Moghadasi, Hamidreza Rezaei Kelidbari, Mohammad Doostar

“…Data analysis was done using MAXQDA 2020 software. …”
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Risk Factors for Gastrointestinal Bleeding in Patients With Acute Myocardial Infarction: Multicenter Retrospective Cohort Study by Yanqi Kou, Shicai Ye, Yuan Tian, Ke Yang, Ling Qin, Zhe Huang, Botao Luo, Yanping Ha, Liping Zhan, Ruyin Ye, Yujie Huang, Qing Zhang, Kun He, Mouji Liang, Jieming Zheng, Haoyuan Huang, Chunyi Wu, Lei Ge, Yuping Yang

“…Kaplan-Meier survival analysis evaluated the impact of GIB on short-term survival. …”
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AI-based pelvic floor surface electromyography reference ranges and high-precision pelvic floor dysfunction diagnosisResearch in context by Juan Chen, Jiahui Yao, Wei Chen, Feng Zhang, Heyuan Wang, Xiaoying Xu, Huan Ge, Hongmei Zhou, Jin Cen, Dan Li, Bengui Jiang, Li He, Tingting Fu, Zhengxian Xu, Lei Chu, Shuxia Zhang, Dongmei Yao, Linyi Wei, Liu Huang, Anjing Ge, Cuiping Jin, Zimu Fu, Qin Liu, Xuefeng Yu, Chengmao Zhao, Tengjiao Wang, Lan Zhu

“…Funding: This study was supported by grants from the National Key R&D Program of China: The Establishment of a Comprehensive Network for PFD Prevention, Rehabilitation, Pelvic Floor Surgery and Related Complications (2021YFC2701300), Perception and Analysis of the Situation of Major Infectious Disease Outbreaks Based on Internet Big Data (2021ZD0111202), Research on New Models for Forecasting Major Infectious Diseases and Policy Evaluation (2021ZD0111205); Beijing Natural Science Foundation (7212073), National High-Level Hospital Clinical Research Funding (2022-PUMCH-B-087) and the Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences (2021-I2M- C&T-B- 021).…”
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Modeling human capital strategies with an emphasis on organizational structure change by Shahriyar Emamdoust Haredasht, Musa Rezvani Chaman Zamin, Morteza Hazrati

“…Data analysis is through SPSS, Lisrel, and PLS software. …”
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Patient-Reported Incident Measure (PRIM) tools for reporting patient safety incidents: protocol for a scoping review by Mercè Soler Font, Ignacio Ferreira-Gonzalez, Ignasi Bolíbar, Maria Rubio-Valera, Merce Soler-Font, Víctor Quirós González, Karla Salas-Gama, Dimelza Osorio, Maria Nieves Plana, Julio Muñoz-Miguel, Maria Teresa Franco, Mariona Secanell-Espluga, Paula Fernández-Torres, Stefanie Suclupe, Daniel Torres-López, Alex Aisa Castillo, Adrià Almar, Emilien Amar Devilleneuve, Ignasi Bolibar Ribas, Alex Cano Velasco, Gonzalo Casans Gómez, Núria Castany Viñas, Maria Teresa Franco Romero, Cristina González Steinbauer, Clara María Grau Corral, Antoni Jesús Cruz Antolin, Susana Malgrat Caballero, Roser Martín Campos, Cristopher Alan Mazo Torre, Julio Muñoz Miguel, Rafael Manuel Ortí Lucas, Percy Efrain Pantoja Bustillos, Maria del Mar Pina Cobos, Maria Nieves Plana Farras, Aida Ribera Solé, Soledad Romea Lecumberri, Maria Rubio Valera, Alba Saa Casal, Anna Sala Cunill, Karla Salas Gama, Yuli Salvador Lodosa, Mariona Secanell Espluga, Stefanie Chriss Suclupe Obregon

“…We will use a self-created data collection form for data extraction and perform a narrative synthesis to integrate and summarise the review findings. …”
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Projections of single-level indirect lumbar interbody fusion volume and associated costs for Medicare patients to 2050 by Kyle A. Mani, BS, Samuel N. Goldman, BS, Noel Akioyamen, MD, Emily Kleinbart, BS, Yaroslav Gelfand, MD, Saikiran Murthy, DO, Jonathan Krystal, MD, Ananth Eleswarapu, MD, Reza Yassari, MD, Mitchell S. Fourman, MD, MPhil

“…The Prophet machine learning algorithm, using Bayesian Inference, was applied to data from 2000 to 2019 to generate point forecasts for 2020 to 2050 with 95% forecast intervals (FIs). …”
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The State of Artificial Intelligence and its Prospects in Pakistan's Medical Sector by Rohail Akhtar Habib, Yumna Sattar Khan

“…Bottom line, healthcare providers utilize AI for administrative tasks, data analysis aiding clinical decisions, drug discovery, and virtual assistants for patient engagement, and education, enhancing efficiency and patient care. …”
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Answering real-world clinical questions using large language model, retrieval-augmented generation, and agentic systems by Yen Sia Low, Michael L Jackson, Rebecca J Hyde, Robert E Brown, Neil M Sanghavi, Julian D Baldwin, C William Pike, Jananee Muralidharan, Gavin Hui, Natasha Alexander, Hadeel Hassan, Rahul V Nene, Morgan Pike, Courtney J Pokrzywa, Shivam Vedak, Adam Paul Yan, Dong-han Yao, Amy R Zipursky, Christina Dinh, Philip Ballentine, Dan C Derieg, Vladimir Polony, Rehan N Chawdry, Jordan Davies, Brigham B Hyde, Nigam H Shah, Saurabh Gombar

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