Ethnic differences in CT derived abdominal body composition measures: a comparative retrospect pilot study between European and Inuit study population by Mia Solholt Godthaab Brath, Marina Sahakyan, Esben Bolvig Mark, Henrik Højgaard Rasmussen, Lasse Riis Østergaard, Jens Brøndum Frøkjær, Ulla Møller Weinreich, Marit Eika Jørgensen

“…Understanding ethnic variations in body composition is crucial for assessing health risks. Universal models may not suit all ethnicities, and there is limited data on the Inuit population. …”
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Paradigm shifts: exploring AI's influence on qualitative inquiry and analysis by Ryan Thomas Williams

“…For example, we might see the rise of a “computational” paradigm. While AI promises to enhance efficiency and rigor in data analysis, concerns remain about its alignment with interpretivism.…”
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Unveiling innovation imperatives in agriculture: A data-driven framework for identifying latent needs and regional priorities by Andrea Bonfiglio

“…This methodology is applied to data collected by the Italian Farm Accountancy Data Network, which includes over 64,000 observations from two consecutive three-year periods (2016-2018 and 2019-2021). …”
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Large language models generating synthetic clinical datasets: a feasibility and comparative analysis with real-world perioperative data by Austin A. Barr, Joshua Quan, Eddie Guo, Emre Sezgin, Emre Sezgin

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Numerical Analysis of the Impact of Variable Borer Miner Operating Modes on the Microclimate in Potash Mine Working Areas by Lev Levin, Mikhail Semin, Stanislav Maltsev, Roman Luzin, Andrey Sukhanov

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Computational approaches in drug chemistry leveraging python powered QSPR study of antimalaria compounds by using artificial neural networks by Wakeel Ahmed, Tamseela Ashraf, Maliha Tehseen Saleem, Emad E. Mahmoud, Kashif Ali, Shahid Zaman, Melaku Berhe Belay

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SympCoughNet: symptom assisted audio-based COVID-19 detection by Yuhao Lin, Xiu Weng, Bolun Zheng, Weiwei Zhang, Zhanjun Bu, Yu Zhou

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Do GPS clusters really work? carnivore diet from scat analysis and GPS telemetry methods by Michelle M. Bacon, Greg M. Becic, Mark T. Epp, Mark S. Boyce

“…Abstract Global Positioning System (GPS) data collected using radiocollars have allowed researchers to identify sites where predators have killed prey, but this method has yet to be compared with scat analysis, a more traditional method of determining diet composition. …”
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Pioneering precision in lumbar spine MRI segmentation with advanced deep learning and data enhancement by Istiak Ahmed, Md. Tanzim Hossain, Md. Zahirul Islam Nahid, Kazi Shahriar Sanjid, Md. Shakib Shahariar Junayed, M. Monir Uddin, Mohammad Monirujjaman Khan

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Determination of Treatment Policy for Acute Surgical Disease of the Abdominal Cavity and Retroperitoneal Space in Patients with Late-Stage HIV Infection According to Multislice Com... by N. V. Klimova, A. A. Gaus, V. V. Darvin, U. B. Il'ina

“…Objective: to determine treatment policy for an acute surgical disease in patients with late-stage HIV infection diagnosed using the data of the highly informative imaging techniques multislice computed tomography (MSCT) and magnetic resonance imaging (MRI). …”
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Mechanical Properties of Collagen Implant Used in Neurosurgery Towards Industry 4.0/5.0 Reflected in ML Model by Marek Andryszczyk, Izabela Rojek, Dariusz Mikołajewski

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Developing a Hybrid Morphological Analyzer for Low-Resource Languages by Musica Supriya, Dinesh Acharya Udupi, Ashalatha Nayak, Arjuna Srirangapatna Raghavendra

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Data-driven approach for identifying the factors related to debt collector performance by Keerthana Sivamayilvelan, Elakkiya Rajasekar, Santhi Balachandran, Ketan Kotecha, Subramaniyaswamy Vairavasundaram

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Edge Computing for AI-Based Brain MRI Applications: A Critical Evaluation of Real-Time Classification and Segmentation by Khuhed Memon, Norashikin Yahya, Mohd Zuki Yusoff, Rabani Remli, Aida-Widure Mustapha Mohd Mustapha, Hilwati Hashim, Syed Saad Azhar Ali, Shahabuddin Siddiqui

“…Edge computing devices and handheld gadgets can serve as useful tools to process medical data in remote areas with limited network and computational resources. …”
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lasertram: A Python library for time resolved analysis of laser ablation inductively coupled plasma mass spectrometry data by Jordan Lubbers, Adam J.R. Kent, Chris Russo

“…Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) data has a wide variety of uses in the geosciences for in-situ chemical analysis of complex natural materials. …”
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Multi-Source Data Fusion-Based Grid-Level Load Forecasting by Hai Ye, Xiaobi Teng, Bingbing Song, Kaiming Zou, Moyan Zhu, Guangyu He

“…Traditional approaches accumulate provincial forecasts without considering regional heterogeneity in load characteristics, data quality, and forecasting capabilities. Our methodology implements a comprehensive evaluation index system that quantifies forecast trustworthiness through three key dimensions: forecast reliability, provincial impact, and forecasting complexity. …”
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Intelligent Innovation Dataset on Scientific Research Outcomes and Patents by Xinran Wu, Hui Zou, Yidan Xing, Jingjing Qu, Weiwei Guo, Xiaoming Fu

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OpenCyto: an open source infrastructure for scalable, robust, reproducible, and automated, end-to-end flow cytometry data analysis. by Greg Finak, Jacob Frelinger, Wenxin Jiang, Evan W Newell, John Ramey, Mark M Davis, Spyros A Kalams, Stephen C De Rosa, Raphael Gottardo

“…Technological advances in cytometry instrumentation are increasing the size and dimensionality of data sets, posing a challenge for traditional data management and analysis. …”
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Indicator-Type Grey Structure Incidence Analysis Method for Panel Data and Its Application in Identifying Technological Innovation Factors by Shuqin Gu, Yong Liu, Lu Yue

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Protocol: the International Milk Composition (IMiC) Consortium - a harmonized secondary analysis of human milk from four studies by Kelsey Fehr, Kelsey Fehr, Andrew Mertens, Chi-Hung Shu, Trenton Dailey-Chwalibóg, Trenton Dailey-Chwalibóg, Liat Shenhav, Liat Shenhav, Liat Shenhav, Lindsay H. Allen, Lindsay H. Allen, Megan R. Beggs, Megan R. Beggs, Lars Bode, Lars Bode, Rishma Chooniedass, Mark D. DeBoer, Lishi Deng, Camilo Espinosa, Camilo Espinosa, Camilo Espinosa, Daniela Hampel, Daniela Hampel, April Jahual, April Jahual, Fyezah Jehan, Mohit Jain, Patrick Kolsteren, Puja Kawle, Kim A. Lagerborg, Melissa B. Manus, Melissa B. Manus, Melissa B. Manus, Samson Mataraso, Samson Mataraso, Samson Mataraso, Joann M. McDermid, Ameer Muhammad, Payam Peymani, Payam Peymani, Martin Pham, Martin Pham, Setareh Shahab-Ferdows, Yasir Shafiq, Yasir Shafiq, Yasir Shafiq, Vishak Subramoney, Daniel Sunko, Daniel Sunko, Laeticia Celine Toe, Laeticia Celine Toe, Stuart E. Turvey, Lei Xue, Natalie Rodriguez, Natalie Rodriguez, Alan Hubbard, Nima Aghaeepour, Nima Aghaeepour, Nima Aghaeepour, Meghan B. Azad, Meghan B. Azad

“…IntroductionHuman milk (HM) contains a multitude of nutritive and nonnutritive bioactive compounds that support infant growth, immunity and development, yet its complex composition remains poorly understood. Integrating diverse scientific disciplines from nutrition and global health to data science, the International Milk Composition (IMiC) Consortium was established to undertake a comprehensive harmonized analysis of HM from low, middle and high-resource settings to inform novel strategies for supporting maternal-child nutrition and health.Methods and analysisIMiC is a collaboration of HM experts, data scientists and four mother-infant health studies, each contributing a subset of participants: Canada (CHILD Cohort, n = 400), Tanzania (ELICIT Trial, n = 200), Pakistan (VITAL-LW Trial, n = 150), and Burkina Faso (MISAME-3 Trial, n = 290). …”
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