Atogepant for migraine prevention: a meta-analysis of safety and efficacy in adults by Adarsh Raja, Rabia Asim, Muhammad Hamza Shuja, Sandesh Raja, Tazheen Saleh Muhammad, Simran Bajaj, Abdul Hadi Ansari, Hamza Ali, Iffat Ambreen Magsi, Muhammad Hammad Faridi, Hamza Ali Hasnain Sheikh, Muhammad Junaid Imran, Muhammad Ahmed, Muhammad Sohaib Asghar, Muhammad Sohaib Asghar

“…Injectable therapies for migraine, such as monoclonal antibodies that target calcitonin gene-related peptide (CGRP), have proven to be effective and safe. While various oral drugs are available, none have been developed for migraines. …”
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Cross-validation of an artificial intelligence tool for fracture classification and localization on conventional radiography in Dutch population by Huibert C. Ruitenbeek, Sahil Sahil, Aradhana Kumar, Ravi Kumar Kushawaha, Swetha Tanamala, Saigopal Sathyamurthy, Rohitashva Agrawal, Subhankar Chattoraj, Jasika Paramasamy, Daniel Bos, Roshan Fahimi, Edwin H. G. Oei, Jacob J. Visser

“…Abstract Objectives The aim of this study is to validate the effectiveness of an AI tool trained on Indian data in a Dutch medical center and to assess its ability to classify and localize fractures. Methods Conventional radiographs acquired between January 2019 and November 2022 were analyzed using a multitask deep neural network. …”
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Green synthesis of silver nanoparticles from plant Astragalus fasciculifolius Bioss and evaluating cytotoxic effects on MCF7 human breast cancer cells by Fatemeh Nosrati, Baratali Fakheri, Habib Ghaznavi, Nafiseh Mahdinezhad, Roghayeh Sheervalilou, Bahman Fazeli-Nasab

“…These compounds have been shown to effectively treat heart diseases and inhibit cancer cell growth while also alleviating chemotherapy side effects. …”
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Assessing ChatGPT’s Educational Potential in Lung Cancer Radiotherapy From Clinician and Patient Perspectives: Content Quality and Readability Analysis by Cedric Richlitzki, Sina Mansoorian, Lukas Käsmann, Mircea Gabriel Stoleriu, Julia Kovacs, Wulf Sienel, Diego Kauffmann-Guerrero, Thomas Duell, Nina Sophie Schmidt-Hegemann, Claus Belka, Stefanie Corradini, Chukwuka Eze

“…ConclusionsChatGPT-4 shows promise as a supplementary tool for patient education in radiation oncology. While patients and clinicians appreciated the clarity and relevance of the information, limitations in completeness, trust, and readability highlight the need for clinician oversight and further optimization of LLM-generated content. …”
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Dynamics of Kidney Function in Patients with Chronic Kidney Disease and Atrial Fibrillation Who Receive Dabigatran by N. A. Novikova, Z. K. Salpagarova, M. I. Chashkina, A. A. Bykova, Z. A. Alimova, А. S. Yadykina, D. F. Mesitskaya, N. A. Babakova, D. A. Andreev

“…To determine the dynamics of GFR in patients with AF and CKD (in case of GFR below 45 ml/min/1.73 m2).Material and Methods. The sub-analysis was carried out to examine a single-centre prospective study into the optimization of the anticoagulant therapy in the outpatient practice. …”
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Reflections and implementation strategies for constructing a standard system for deep coalbed methane exploration and exploitation by Xinjun CHEN, Zengqin LIU, Baojian SHEN, Shihu ZHAO, Jiaqi ZHANG, Jincheng YE

“…The medium-term objective is to establish a technical standard cluster covering the entire industry chain while promoting the whole life cycle risk management, with the purpose of achieving efficient resource utilization and maximizing investment returns. …”
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Comparative efficacy of eight traditional Chinese medicines combined with statins in the treatment of hyperlipidemia: a Bayesian network meta-analysis by Ling Jiang, Wen Fan, Fangyu Zhou, Lihan Liu, Maoxing Pan, Maoxing Pan, Qinhe Yang, Qinhe Yang, Yupei Zhang, Yupei Zhang

“…However, diverse TCM formulations lack comparative evidence in combination regimens, necessitating urgent evidence-based optimization.MethodsBased on preliminary literature review and component usage frequency analysis, 8 TCMs were included firstly. …”
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Evaluating pediatric tuberculosis dosing guidelines: A model-based individual data pooled analysis. by Lufina Tsirizani Galileya, Roeland E Wasmann, Chishala Chabala, Helena Rabie, Janice Lee, Irene Njahira Mukui, Anneke Hesseling, Heather Zar, Rob Aarnoutse, Anna Turkova, Diana Gibb, Mark F Cotton, Helen McIlleron, Paolo Denti

“…We pooled data from large pharmacokinetic studies to identify key covariates influencing drug exposure to optimize tuberculosis dosing in children.<h4>Methods and findings</h4>We used nonlinear mixed-effects modeling to characterize the pharmacokinetics of rifampicin, isoniazid, and pyrazinamide, and investigated the association of human immunodeficiency virus (HIV), antiretroviral therapy (ART), drug formulation, age, and body size with their pharmacokinetics. …”
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Revolutionizing heart attack prognosis: Introducing an innovative regression model for prediction by Hanaa Albanna, Madhav Raj Theeng Tamang, Chandan Patel, Mhd Saeed Sharif

“…It is expected that this cross-disciplinary approach will underline the role of machine learning in the mitigation of the heart disease burden and optimization of resources spent on healthcare. Methods:: This study explores the application of machine learning techniques for predicting heart attack risk using structured clinical data. …”
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Enhanced Objectivity of AHP for More Reliable Solar Farm Site Selection by A. E. Dinçer, A. Demir, K. Yılmaz

“…To address these objective relations and/or consensuses, this study proposes the analytic hierarchy process with optimized hierarchy (AHP‐OH). This method enhances the reliability of results by satisfying objective relations and/or consensuses about relations between criteria. …”
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UAV-based aerial phenotyping to assess key morphophysiological traits and yield in soybean by Lalit Pun Magar, Jeremy Sandifer, Deepak Khatri, Sudip Poudel, Anuj Chiluwal

“…Merril) yield potential. Traditional in situ methods for assessing these traits, while accurate in small areas, are slow, labor-intensive, and impractical for large-scale monitoring. …”
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Influence of psychosocial factors and parent–student relationships on the academic engagement of TCM students: a structural equation modeling and multi-criteria decision-making fra... by Liang Shaoshuai, Peng Qian, Zhang Yiwen, Xu Meiru

“…Structural equation modeling (SEM) via SmartPLS analyzed causal pathways, while the VIKOR-AHP method addressed MCDM by (1) weighting criteria via AHP and (2) ranking interventions via VIKOR’s compromise-ranking, ensuring practical solutions amid real-world constraints.ResultsThis study examined the impact of EQ, AQ, PR, and parent-student relationships on the academic engagement of TCM students. …”
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Forecasting monthly residential natural gas demand in two cities of Turkey using just-in-time-learning modeling. by Burak Alakent, Erkan Isikli, Cigdem Kadaifci, Tonguc S Taspinar

“…Since a model is constructed separately for each test point, the proposed method is, indeed, an example of JITL. The JITL-GPR method is easy to use and optimize, and offers a reduction in forecast errors compared to traditional time series methods and a state-of-the-art combination model; therefore, it is a promising tool for NGD forecasting in similar settings.…”
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Fusion-Based Localization System Integrating UWB, IMU, and Vision by Zhongliang Deng, Haiming Luo, Xiangchuan Gao, Peijia Liu

“…Various new indoor positioning methods have been developed. Among them, visual–inertial odometry (VIO)-based techniques are notably limited by lighting conditions, while ultrawideband (UWB)-based algorithms are highly susceptible to environmental interference. …”
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Planning trajectory for UAVs using the self-organizing migrating algorithm. by Quoc Bao Diep, Thanh-Cong Truong, Ivan Zelinka

“…The UAVs successfully reach their targets while avoiding collisions, confirming the reliability and robustness of the proposed method. …”
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Research progress in globular fruit picking recognition algorithm based on deep learning by LI Hui, ZHANG Jun, YU Shuochen, LI Zhixin

“…The one-stage object detection algorithm achieves end-to-end detection by using a single convolutional neural network to directly predict the target location and category. This method achieves fast detection while maintaining high accuracy, transforms the problem of target detection into a regression problem, and completes the location and classification of the target directly. …”
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Super Resolution Reconstruction of Mars Thermal Infrared Remote Sensing Images Integrating Multi-Source Data by Chenyan Lu, Cheng Su

“…However, the current spatial resolution of Mars thermal infrared remote sensing images remains relatively low, limiting the detection of fine-scale thermal anomalies and the generation of higher-precision surface compositional maps. While updating extraterrestrial exploration satellites can help enhancing the spatial resolution of thermal infrared images, this method entails high cost and long update cycles, making improvement difficult to conduct in the short term. …”
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Surface Roughness Modeling of Material Extrusion PLA Flat Surfaces by Kaltrine Jakupi, Vladimir Dukovski, Gezim Hodolli

“…Complex forms may be easily created with additive manufacturing methods, but managing surface roughness remains a difficulty, even for flat surfaces, because surface quality is dependent on numerous parameters. …”
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Efficient Context-Preserving Encoding and Decoding of Compositional Structures Using Sparse Binary Representations by Roman Malits, Avi Mendelson

“…In this work, we propose a novel encoding method termed CPSE, based on CDT ideas. In addition, we propose a novel decoding method termed CPSD, based on triadic memory. …”
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Exploring Health Literacy Among Parents of Children Who Attended the Pediatric Rehabilitation Clinics in Qatar: A Convergent Parallel Research Design by Jessie Johnson PhD, RN, Fadi Khraim PhD, RN, Carolyn Wolsey RN, EdD, MN, Rami A. Elshatarat PhD, RN, Lisa Thornton MD, FAAP, FAAPMR, Dina Schnurman RN, MSN/MBA, Mohammed AlDalaykeh PhD, RN, Amal Al-Farsi PT, MScHCM, PGDipPE

“…The primary objective is to assess HL among parents of children attending pediatric rehabilitation clinics in Qatar, examining key domains such as functional HL, critical HL, empowerment, and communicative HL. Methods Participants were recruited through a self-selected sampling method, with data collected via the All Aspects of Health Literacy scale and qualitative interviews. …”
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