Toward zero-excess lithium sulfur batteries: a systematic cell parameter study by Joshua H Cruddos, James B Robinson, Paul R Shearing, Alexander J E Rettie

“…Here we develop a ZELiS battery, comprising a Li _2 S-based composite positive electrode on carbon paper paired with a Ni foil current collector (CC) and evaluate the effects of various CC materials, electrolyte volume to Li _2 S mass ratio and C-rate. …”
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New Label-Free DNA Nanosensor Based on Top-Gated Metal–Ferroelectric–Metal Graphene Nanoribbon on Insulator Field-Effect Transistor: A Quantum Simulation Study by Khalil Tamersit, Abdellah Kouzou, José Rodriguez, Mohamed Abdelrahem

“…The DNA sensing principle is founded on the dielectric modulation concept. The computational method employed to evaluate the proposed nanobiosensor relies on the coupled solutions of a rigorous quantum simulation with the Landau–Khalatnikov equation, considering ballistic transport conditions. …”
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Proton Acceleration in Low-β Magnetic Reconnection with Energetic Particle Feedback by Jeongbhin Seo, Fan Guo, Xiaocan Li, Hui Li

“…To address this, we have developed a new computational method to explore the feedback by nonthermal energetic particles. …”
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Treatment of Canine Atlantoaxial Subluxation with a Modified Cervical Distraction–Stabilization Technique and Clinical Outcomes by Giuseppe Barillaro, Marco Tabbì, Simone Minniti, Nicola Maria Iannelli, Francesco Macrì, Claudia Interlandi

“…The aim of this study was to describe a cervical distraction–stabilization technique using screws and PMMA to treat AAS and evaluate the clinical outcomes based on neurological and radiographic follow-up. …”
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Training strategies for semi-supervised remote sensing image captioning by Qimin Cheng, Haojun Cheng, Linfeng Yuan, Yingjie Du, Saifei Tu, Yuqi Xu

“…Despite advancements in handling scene diversity, object scale variability, and improving caption quality, existing models usually rely on large labeled datasets and computationally expensive methods, which limits their effectiveness in scenarios with scarce annotations. …”
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Osteoporosis-alleviating effects of unsaponifiable matter derived from Chlorella sp. Lipids on bone regeneration promotion and bone matrix enhancement in ovariectomized C57BL/6 mou... by Min Ho Han, Sun Hye Lee, Min Ho Kang, Youn Seon Hwang, Ju Hwan Lee, Jin Woo Kim

“…This study evaluated the osteoporosis-preventive effects of unsaponifiable matter extracted from microalgal lipids, specifically by inhibiting osteoclast-mediated bone resorption In vitro osteoclasts and in an in vivo ovariectomized (Ovx) mouse model. …”
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Bridging human emotion processing and deep neural networks: insights from representational similarity analysis by Lu Nie, Ke Chen, Yue Li, Yonghong Tian, Yixuan Ku

“…Emotion is a complex psychophysiological response to external stimuli, essential for human survival, social interaction, and human-computer interaction. Emotion recognition plays a critical role in both biological systems and artificial agents. …”
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Efficient and Non-Invasive Grading of Chinese Mitten Crab Based on Fatness Estimated by Combing Machine Vision and Deep Learning by Jiangtao Li, Hongbao Ye, Chengquan Zhou, Xiaolian Yang, Zhuo Li, Qiquan Wei, Chen Li, Dawei Sun

“…In addition, we proposed an improved conditional factor K to evaluate the fatness of crabs and classify their quality based on fatness. …”
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PPP at Low Latitudes With Ionospheric Model Exclusively Based on Single Frequency GNSS Measurements by Ana L. Christovam, Fabricio S. Prol, Gabriel O. Jerez, Manuel Hernández‐Pajares, Paulo O. Camargo

“…As an attempt to overcome this issue, in this work, we study the capabilities of using only GPS L1 frequency to compute ionospheric corrections in form of regional ionospheric maps. …”
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Clinical Misdiagnosis of COVID-19 Infection with Confusing Clinical Course by Hamid Eshaghi, Vahid Ziaee, Mahmood Khodabande, Moeinadin Safavi, Elmira Haji Esmaeil Memar

“…His PCR test for COVID-19 was positive, and there was pleural effusion plus positive findings in the lower left lobe of the lung on computed tomography scan. Mid-sized splenomegaly was found on abdominal ultrasound, and laboratory tests disclosed pancytopenia. …”
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Effect of Aerosol Dispersion on Its Masking Ability by D. P. Kolesnikov, V. N. Penyaz, M. A. Golyshev, D. N. Buryak, I. V. Artamonov

“…The article presents the results of computer simulation of the random distribution of aerosol particles in space to assess its screening capacity relative to electromagnetic radiation in the optical range.…”
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Exploring the relationship between dyscalculia and working memory in Egyptian children by Salma Gamal Abdelgelil Mohammed, Sayed Mohammed Saeed Kadah, Ahmed Nabil Khattab, Hedia Muhey ElNeshwey

“…This study aims to examine the cognitive characteristics of Egyptian children with developmental dyscalculia by evaluating their performance in verbal and visuospatial working memory. …”
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COVID-19 detection: Comparison and accuracy of several diagnostic tests by Mati Ullah, Muhammad Ibrar, Salah Uddin Khan, Habib Ullah, Nasir Ali Khan

“…Initially, diagnosis of the virus was conducted by a combination of different assays including; electron microscopy (EM), computed tomography (CT) scan and whole-genome sequencing. …”
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Annotation of the Extracellular Enveloped Form of Monkeypox Virus for the Design, Screening, Validation, and Simulation of a Chimeric Vaccine Construct by Mohammad Asrar Izhari, Essa Ajmi Alodeani, Siraj B. Alharthi, Ahmad H. A. Almontasheri, Foton E. Alotaibi, Rakan E. Alotaibi, Wael A. Alghamdi, Osama Abdulaziz, Fahad Alghamdi, Ali Alisaac, Mansoor Alsahag, Ahmed R. A. Gosady

“…The findings of this study provide a preliminary framework for developing an efficacious hMPXV vaccine; however, extensive in vitro, in vivo, and clinical evaluations are required to substantiate the computational insights.…”
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Selection of spermatozoa by magnetic activation in domestic felines by Teresinha Inês Assumpção, Maria Isabel Mello Martins, Caroline Silva Vieira, Mauricio Foschini

“…The following parameters were analyzed: motility (computer assisted semen analysis), concentration (Neubauer chamber), semen morphology (humid chamber), and supravital test (eosin/nigrosine staining). …”
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Leakage sign based on contrast-enhanced CT is a predictive marker for hematoma expansion and poor prognosis in primary brainstem hemorrhage by Motohisa Koga, Yu Hasegawa, Jin Kikuchi, Aya Hashimoto, Keiichiro Furuta, Takehiro Makizono, Hidenobu Yoshitake, Kimihiko Orito, Motohiro Morioka

“…Since we previously observed the “leakage sign” (LS) on computed tomography (CT) to be a significant predictor for hematoma expansion, we herein investigated the effect of LS in PBSH. …”
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A Methodology to Characterize an Optimal Robotic Manipulator Using PSO and ML Algorithms for Selective and Site-Specific Spraying Tasks in Vineyards by Roni Azriel, Oded Degani, Avital Bechar

“…The simulation tool was developed using the Gazebo simulator and ROS software to evaluate potential robotic configurations within a simulated vineyard. …”
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Magnetic resonance used as a differential diagnostic tool between inflammatory cancer of the sigmoid and acute sigmoid diverticulitis by Cornel Dragos Cheregi, Teodora Gabriela Alexescu, Andrei Vasile Pascalau, Ovidiu Laurean Pop, Calin Magheru, Ioana Maria Muresan, Nicoleta Ramona Suciu, Maur Sebastian Horgos, Mihai Stefan Muresan

“…The diagnosis of acute diverticulitis is always made by performing a contrast-enhanced-computed tomography (CT) of the abdomen. Current diagnosis guidelines do not recommend the use of a magnetic resonance imaging (MRI) for further and more precise assessment of a suspected sigmoid diverticulitis diagnosed by CT. …”
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Thiamine and Thiamine Pyrophosphate as Non-Competitive Inhibitors of Acetylcholinesterase—Experimental and Theoretical Investigations by Łukasz Szeleszczuk, Dariusz Maciej Pisklak, Błażej Grodner

“…The mechanisms of action of these compounds as potential inhibitors of AChE were evaluated using both experimental (enzymatic activity) as well as computational (molecular docking, molecular dynamics simulations, and MM-GBSA calculations) methods. …”
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A framework for post-prognosis decision-making utilizing deep reinforcement learning considering imperfect maintenance decisions and Value of Information by P. Komninos, D. Zarouchas

“…This work utilizes the Value of Information to choose the optimal times to acquire new data, resulting in computational efficiency and significant resource savings. …”
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