Variational Approaches for Drug-Disease-Gene Links in Periodontal Inflammation by Pradeep Kumar Yadalam, Prabhu Manickam Natarajan, Musab Hamed Saeed, Carlos M. Ardila

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Ventilatory variables and computed tomography features in COVID-19 ARDS and non–COVID-19-related ARDS: a prospective observational cohort study by Li-Chung Chiu, Hsin-Hsien Li, Yu-Hsiang Juan, How-Wen Ko, Scott Chih-Hsi Kuo, Chung-Shu Lee, Tien-Ming Chan, Yu-Jr Lin, Li-Pang Chuang, Han-Chung Hu, Kuo-Chin Kao, Ping-Chih Hsu

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Long-Term Impact of Using Mobile Phones and Playing Computer Games on the Brain Structure and the Risk of Neurodegenerative Diseases: Large Population-Based Study by Yi Xiao, Sirui Zhang, Yuanzheng Ma, Shichan Wang, Chunyu Li, Yan Liang, Huifang Shang

“…Our research provides valuable background knowledge for future studies on the impact of modern electronic devices on brain health.…”
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Evaluation of Root Canal Diameters and Radicular Wall Thickness of the Human Primary Molars by using Multidetector Computed Tomography: A Cross-sectional Study by Piyali Datta, Shabnam Zahir, Kaushik Dutta, Pratik Kumar Lahiri, Sudipta Kar, Biswaroop Chandra, Trishik Basak, Shreya Tripathi

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The interplay of sex and genotype in disease associations: a comprehensive network analysis in the UK Biobank by Vivek Sriram, Jakob Woerner, Yong-Yeol Ahn, Dokyoon Kim

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AI based predictive acceptability model for effective vaccine delivery in healthcare systems by Muhammad Shuaib Qureshi, Muhammad Bilal Qureshi, Urooj Iqrar, Ali Raza, Yazeed Yasin Ghadi, Nisreen Innab, Masoud Alajmi, Ayman Qahmash

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From research to practice: bridging the implementation gap on the use of tranexamic acid in total knee arthroplasty by Robin M. Pfister, Benjamin F. Pfister, Ronald L. Hager, Nathan Sandholtz, Daniel Abulafia, David Bradshaw

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A high‐capacity and nonvolatile spintronic associative memory hardware accelerator by Mahan Rezaei, Abdolah Amirany, Mohammad Hossein Moaiyeri, Kian Jafari

“…This progress implemented in‐memory‐computing and neural networks, one of today's hottest research topics. …”
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Sex Differences in Computed Tomography Coronary Stenosis Severity Versus Flow Impairment and Impact on Revascularization, Clinical Events and Health Care Costs: A FORECAST Substudy by Lavinia Gabara, Jonathan Hinton, Mohamed Kira, James Shambrook, Ausami Abbas, Sam Wilding, Jonathon A. Leipsic, Pamela S. Douglas, Nick Curzen

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Using Image-based AI for insect monitoring and conservation - InsectAI COST Action by Tom August, Mario Balzan, Paul Bodesheim, Gunnar Brehm, Lisette Cantú-Salazar, Sílvia Castro, Joseph Chipperfield, Guillaume Ghisbain, Alba Gomez-Segura, Jérémie Goulnik, Quentin Groom, Laurens Hogeweg, Chantal Huijbers, Andreas Kamilaris, Karolis Kazlauskis, Wouter Koch, Dimitri Korsch, João Loureiro, Youri Martin, Angeliki Martinou, Kent McFarland, Xavier Mestdagh, Denis Michez, Charlie Outhwaite, Luca Pegoraro, Nadja Pernat, Lars Pettersson, Pavel Pipek, Cristina Preda, David Rolnick, Tobias Roth, David Roy, Helen Roy, Veljo Runnel, Martina Sasic, Dmitry Schigel, Julie Sheard, Cecilie Svenningsen, Heliana Teixeira, Nicolas Titeux, Thomas Tscheulin, Elli Tzirkalli, Marijn van der Velde, Roel van Klink, Nicolas Vereecken, Sarah Vray, Toke Thomas Høye

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Survey of the Factors Associated with a Woman's Choice to Have an Epidural for Labor Analgesia by Jennifer Harkins, Brendan Carvalho, Amy Evers, Sachin Mehta, Edward T. Riley

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Reduced connection strength leads to enhancement of working memory capacity in cognitive training by Guiyang Lv, Tianyong Xu, Jinhang Li, Ping Zhu, Feiyan Chen, Dongping Yang, Guoguang He

“…It has been widely observed that cognitive training can enhance the working memory capacity (WMC) of participants, yet the underlying mechanisms remain unexplained. Previous research has confirmed that abacus-based mental calculation (AMC) training can enhance the WMC of subjects and suggested its possible association with changes in functional connectivity. …”
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Instance maps as an organising concept for complex experimental workflows as demonstrated for (nano)material safety research by Benjamin Punz, Maja Brajnik, Joh Dokler, Jaleesia D. Amos, Litty Johnson, Katie Reilly, Anastasios G. Papadiamantis, Amaia Green Etxabe, Lee Walker, Diego S. T. Martinez, Steffi Friedrichs, Klaus M. Weltring, Nazende Günday-Türeli, Claus Svendsen, Christine Ogilvie Hendren, Mark R. Wiesner, Martin Himly, Iseult Lynch, Thomas E. Exner

“…Instance maps have been developed and evolved to visualise experimental nanosafety workflows and to bridge the gap between the theoretical principles of FAIR (Findable, Accessible, Interoperable and Re-usable) data and the everyday practice of experimental researchers. Instance maps are most effective when applied at the study design stage to associate the workflow with the nanomaterials, environmental conditions, method descriptions, protocols, biological and computational models to be used, and the data flows arising from study execution. …”
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Colorectal Peritoneal Metastases: A Systematic Review of Current and Emerging Trends in Clinical and Translational Research by Foteini Stefania Koumpa, Diamantis Xylas, Maciej Konopka, Dieter Galea, Kirill Veselkov, Anthony Antoniou, Akash Mehta, Reza Mirnezami

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Clinical Factors Associated with Sperm DNA Fragmentation in Male Patients with Infertility by Akira Komiya, Tomonori Kato, Yoko Kawauchi, Akihiko Watanabe, Hideki Fuse

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Proportion of Variant Anatomy of the Circle of Willis and Association with Vascular Anomalies on Cerebral CT Angiography by Roy Munialo Machasio, Rose Nyabanda, Timothy Musila Mutala

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Gender-based Morphometric Analysis of the Human Orbital Aperture Profile using 3D Reconstruction Computed Tomography: A Cross-sectional Retrospective Study by Muhammad Omer Afzal Bhatti, Mujeeb Ur Rehman Parrey, Muhammad Ikram Ali, Allah Rakhyo Shoro, Abdulkrem Ahmed Alenazi, Rayan Alhumaidi Alruwaili

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Sparse Convolution FPGA Accelerator Based on Multi-Bank Hash Selection by Jia Xu, Han Pu, Dong Wang

“…Reconfigurable processor-based acceleration of deep convolutional neural network (DCNN) algorithms has emerged as a widely adopted technique, with particular attention on sparse neural network acceleration as an active research area. However, many computing devices that claim high computational power still struggle to execute neural network algorithms with optimal efficiency, low latency, and minimal power consumption. …”
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Adherence to Mediterranean-Like Dietary Pattern in Association with Gastroesophageal Reflux Disease in Adolescents by Azam AhmadiVasmehjani, Sara Beigrezaei, Zahra Nafei, Nasrin Behniafard, Zahra Darabi, Amin Salehi-Abargouei, Majid Aflatoonian

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Correlation of Computed Tomography Angiography and Fractional Flow Reserve Features with Symptoms in Patients with Right Coronary Artery Originating from the Left Coronary Sinus by Liang MAO, Xiaoqiang WANG, Xiaolong LIU, Ning ZHAI, Yueqin CHEN

“…Objective: This study aimed to explore the association between the anatomical and hemodynamic characteristics and the clinical symptoms in patients with the origin of the right coronary artery from the left coronary sinus (AORL) using coronary computed tomography angiography (CCTA) and CT fractional flow reserve (CT-FFR). …”
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