Active Liver Bleed Caught During FAST Exam from Spontaneous Hemangioma Rupture: A Case Report by Raul Rodriguez, Nicole Aviles

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Coupling Cu2O clusters and imine-linked COFs on microfiltration membranes for fast and robust water sterilization by Shijia Luo, Jinglin Gao, Congcong Yin, Yanqiu Lu, Yong Wang

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An Automated Profile-Likelihood-Based Algorithm for Fast Computation of the Maximum Likelihood Estimate in a Statistical Model for Crash Data by Issa Cherif Geraldo

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No Galaxy-scale [C ii] Fast Outflow in the z = 6.72 Red Quasar HSC J1205–0000 by Mahoshi Sawamura, Takuma Izumi, Kouichiro Nakanishi, Takeshi Okuda, Michael A. Strauss, Masatoshi Imanishi, Yoshiki Matsuoka, Yoshiki Toba, Hideki Umehata, Takuya Hashimoto, Shunsuke Baba, Tomotsugu Goto, Toshihiro Kawaguchi, Kotaro Kohno, Dragan Salak, Taiki Kawamuro, Kazushi Iwasawa, Masafusa Onoue, Chien-Hsiu Lee, Kianhong Lee

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An Effective Methodology for Diabetes Prediction in the Case of Class Imbalance by Borislava Toleva, Ivan Atanasov, Ivan Ivanov, Vincent Hooper

“…The methodology is tested with two versions of cross validation that are appropriate in cases of class imbalance—k-fold cross validation and stratified k-fold cross validation. …”
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Key Drivers of Consumption, Conceptual, Sensory, and Emotional Profiling of Cheeses Based on Origin and Consumer Familiarity: A Case Study of Local and Imported Cheeses in Greece by Malamatenia Panagiotou, Efstathios Kaloudis, Danai Ioanna Koukoumaki, Vasiliki Bountziouka, Evangelia Giannakou, Margarita Pandi, Konstantinos Gkatzionis

“…Imported cheeses were linked to fast food, pizza, and snacking, with elasticity and gumminess as prominent sensory qualities. …”
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High Fasting Insulin Levels and Insulin Resistance May Be Linked to Idiopathic Recurrent Pregnancy Loss: A Case-Control Study by Corina-Alina Ispasoiu, Radu Chicea, Florin Vasile Stamatian, Florin Ispasoiu

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Associations of fasting plasma glucose and glycosylated hemoglobin levels at less than 24 weeks of gestation with hypertensive disorders of pregnancy: the BOSHI study by Seiya Izumi, Noriyuki Iwama, Hirotaka Hamada, Taku Obara, Mami Ishikuro, Michihiro Satoh, Takahisa Murakami, Masatoshi Saito, Takayoshi Ohkubo, Takashi Sugiyama, Shinichi Kuriyama, Nobuo Yaegashi, Kazuhiko Hoshi, Yutaka Imai, Hirohito Metoki, the BOSHI Study Group

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Modeling and Control of a Three-Phase Interleaved Buck Converter as a Battery Charger by El Nouha Mammeri, Oswaldo Lopez-Santos, Abdelali El Aroudi, Jure Domajnko, Natasa Prosen, Luis Martinez-Salamero

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Rapid Discrimination of Cheese Products Based on Probabilistic Neural Network and Raman Spectroscopy by Zheng-Yong Zhang

“…The aim of this work is to solve the practical problem that there are relatively few fast, intelligent, and objective methods to distinguish dairy products and to further improve the quality control methods of them. …”
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First Results from the JWST Early Release Science Program Q3D: The Fast Outflow in a Red Quasar at z = 0.44 by Weizhe Liu, Sylvain Veilleux, Swetha Sankar, David S. N. Rupke, Nadia L. Zakamska, Dominika Wylezalek, Andrey Vayner, Caroline Bertemes, Yuzo Ishikawa, Yu-Ching Chen, Jenny E. Greene, Timothy Heckman, Guilin Liu, Hsiao-Wen Chen, Dieter Lutz, Sean D. Johnson, Nicole P. H. Nesvadba, Patrick Ogle, Nadiia Diachenko, Andy D. Goulding, Kevin N. Hainline, Fred Hamann, Hui Xian Grace Lim, Nora Lützgendorf, Vincenzo Mainieri, Ryan McCrory, Grey Murphree, Lu Shen, Eckhard Sturm, Lillian Whitesell

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Deep learning improves physician accuracy in the comprehensive detection of abnormalities on chest X-rays by Pamela G. Anderson, Hannah Tarder-Stoll, Mehmet Alpaslan, Nora Keathley, David L. Levin, Srivas Venkatesh, Elliot Bartel, Serge Sicular, Scott Howell, Robert V. Lindsey, Rebecca M. Jones

“…Together, these results show that the AI system is accurate and reduces physician errors in chest X-ray evaluation, which highlights the potential of AI systems to improve access to fast, high-quality radiograph interpretation.…”
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AI-Assisted Compressed Sensing Enables Faster Brain MRI for the Elderly: Image Quality and Diagnostic Equivalence with Conventional Imaging by Gu W, Yang C, Wang Y, Hu W, Wu D, Cai S, Hong G, Hu P, Zhang Q, Dai Y

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Design of High Performance Hybrid Type Digital-Feedback Low Drop-Out Regulator Using SSCG Technique by Muhammad Asif, Imran Ali, Danial Khan, Muhammad Riaz Ur Rehman, Younggun Pu, Sang-Sun Yoo, Kang-Yoon Lee

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A High Performance Adaptive Digital LDO Regulator With Dithering and Dynamic Frequency Scaling for IoT Applications by Muhammad Asif, Imran Ali, Danial Khan, Muhammad Riaz Ur Rehman, Qurat- Ul-Ain, Muhammad Basim, Young Gun Pu, Minjae Lee, Keum Cheol Hwang, Youngoo Yang, Kang-Yoon Lee

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BMI, HOMA-IR, and Fasting Blood Glucose Are Significant Predictors of Peripheral Nerve Dysfunction in Adult Overweight and Obese Nondiabetic Nepalese Individuals: A Study from Cent... by Lekhjung Thapa, P. V. S. Rana

“…Multivariable logistic regression analysis was carried out to predict outcomes. Results. Fasting blood glucose (FBG) was the significant predictor of motor nerve dysfunction (P=0.039, 95% confidence interval (CI) = 1.003–1.127). …”
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