Distance Conversion Factors for In Situ H-Field Emissions Tests by Jordi Sole-Lloveras, Yasutoshi Yoshioka, Manuel Anon-Cancela, Thilo Kootz, Ferran Silva, Marco A. Azpurua

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Automated Detection of Central Retinal Artery Occlusion Using OCT Imaging via Explainable Deep Learning by Ansgar Beuse, Daniel Alexander Wenzel, MD, Martin Stephan Spitzer, MD, Karl Ulrich Bartz-Schmidt, MD, Maximilian Schultheiss, MD, Sven Poli, MD, Carsten Grohmann, PhD, MD

“…Our model followed a multiclass approach, distinguishing among the 3 different classes: control, CRAO, and differential diagnoses. …”
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Effect of Short-Term Tacrolimus Exposure on Rat Liver: An Insight into Serum Antioxidant Status, Liver Lipid Peroxidation, and Inflammation by N. Fatima, N. Sheikh, A. R. Satoskar, T. Akhtar, A. Tayyeb, I. Ashfaq, N. Ryan, S. Ambreen, B. K. Jha, S. Oghumu

“…Tacrolimus (TAC) is an immunosuppressive drug, optimally used for liver, kidney, and heart transplant to avoid immune rejection. …”
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Effect of Petiveria alliacea leaf extract and its active components on heart muscle cell apoptosis induced by hyperglycemia by Nurmawati Fatimah, Sri Agus Sudjarwo, Arifa Mustika, Suharjono Suharjono, Jusak Nugraha, Hari Basuki Notobroto, Rochmah Kurnijasanti, Reny I'tishom, Wibi Riawan, Alphania Rahniayu

“…Bcl2 levels rose compared to the hyperglycemic control group and can lower apoptosis expression in heart cells of hyperglycemic model rat with an optimal dose of 90 mg/kgBW. …”
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Heterogeneous and higher-order cortical connectivity undergirds efficient, robust, and reliable neural codes by Daniela Egas Santander, Christoph Pokorny, András Ecker, Jānis Lazovskis, Matteo Santoro, Jason P. Smith, Kathryn Hess, Ran Levi, Michael W. Reimann

“…Summary: We hypothesized that the heterogeneous architecture of biological neural networks provides a substrate to regulate the well-known tradeoff between robustness and efficiency, thereby allowing different subpopulations of the same network to optimize for different objectives. To distinguish between subpopulations, we developed a metric based on the mathematical theory of simplicial complexes that captures the complexity of their connectivity by contrasting its higher-order structure to a random control and confirmed its relevance in several openly available connectomes. …”
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Development of an RGB-GE Data Generation and XAI-Based On-Site Classification System for Differentiating <i>Zizyphus jujuba</i> and <i>Zizyphus mauritiana</i> in Herbal Medicine Ap... by So Jin Park, Hyein Lee, Yu-Jin Jeon, Da Hyun Woo, Ho-Youn Kim, Jung-Ok Kim, Dae-Hyun Jung

“…The system incorporates Grad-CAM for model interpretation and reliability. By comparing accuracy and speed across basicCNN, DenseNet, and InceptionV3 models, we identified an optimal solution for on-site herbal medicine classification, achieving 98.36% accuracy with basicCNN, ensuring reliable quality control.…”
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Analysis of the atomization performance of hydrodynamic rotating spray dust suppression device with setting fan by Hui XU, Qinghua CHEN, Dejun WANG

“…In recent years, with the significant improvement of mechanization and intelligence in coal mining in China, the amount of dust produced during working face operations has increased significantly, and higher requirements have been put forward for dust control technology. In order to study the influence of setting fans on the atomization performance of hydrodynamic rotating spray dust suppression device, based on the hydrodynamic driving rotating spray dust suppression device, the influence of key structural parameters of the water shaft on the speed was explored, and a three-dimensional flow field model was established using dynamic grid technology to analyze the influence of the angle of water flow, the angle of concentration, and the water supply pressure on the speed of the water shaft; we construct a VOF multiphase flow model and compare the velocity distribution characteristics of the mixed outlet fog particle field at different water axis outlet angles of 15°-75°; the structure of the device is improved. …”
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Determining the effects of social–environmental factors on the incidence and mortality of lung cancer in China based on remote sensing and GIS technology during 2007–2016 by Bin Xie, Jingwen Wang, Chunhui Wang, Dongjiu Zhao, Yanhua Kang, Hongping Yin, Zhe Lu

“…The cold spots occurred primarily in southern and some western regions of China. (3) The effects of social–environmental factors on the IMLC showed significant spatial and temporal variability: in males, the interaction between terrain undulation and road area exhibited the highest explanatory power for the incidence and mortality, with a value of 0.22 for both; in females, the interaction between O3 and road area and the interaction between O3 and the number of medical beds exhibited the highest explanatory powers for the incidence and mortality, reaching 0.27 and 0.34, respectively. (4) The optimal model capturing the relationships between the IMLC and social–environmental factors was the GTWR model, which relies on reclassified data. …”
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Real-Time Intelligent Recognition and Precise Drilling in Strongly Heterogeneous Formations Based on Multi-Parameter Logging While Drilling and Drilling Engineering by Aosai Zhao, Yang Yu, Bin Wang, Yewen Liu, Jingyue Liu, Xubiao Fu, Wenhao Zheng, Fei Tian

“…The K-means clustering algorithm is employed to extract the deep geo-engineering characteristics from multi-source LWD data, thereby constructing a lithology label library and categorizing the training and testing datasets. The optimized CatBoost machine learning model is subsequently utilized for lithology classification, enabling real-time and high-precision geological evaluation during directional drilling. …”
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Comparative evaluation of immunomodulatory cytokines for oncolytic therapy based on a high-efficient platform for oHSV1 reconstruction by Yingzheng Gao, Yufang Zou, Changjing Wu, Juan Tao, Zuqing Nie, Jinyuan Yan, Pengfei Wang, Xinwei Huang

“…In vitro, OV-IFNG exhibited upregulated MHC I/II expression and potent cytotoxicity, while OV-GMCSF attenuated oncolysis in subsets of breast cancer cell lines. In the 4T1 model, OV-IL15Fu modestly improved tumor control and extended survival without apparent toxicity, while OV-IFNG induced early mortality associated with systemic toxicity. …”
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Measuring protective efficacy and quantifying the impact of drug resistance: A novel malaria chemoprevention trial design and methodology. by Andria Mousa, Gina Cuomo-Dannenburg, Hayley A Thompson, R Matthew Chico, Khalid B Beshir, Colin J Sutherland, David Schellenberg, Roly Gosling, Michael Alifrangis, Emma Filtenborg Hocke, Helle Hansson, Ana Chopo-Pizarro, Wilfred F Mbacham, Innocent M Ali, Mike Chaponda, Cally Roper, Lucy C Okell

“…We find that a placebo or control group with no drug protection is valuable but not always feasible. …”
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GAT-Enhanced YOLOv8_L with Dilated Encoder for Multi-Scale Space Object Detection by Haifeng Zhang, Han Ai, Donglin Xue, Zeyu He, Haoran Zhu, Delian Liu, Jianzhong Cao, Chao Mei

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Healthy sleep without insomnia may go beyond sleep duration for achieving successful aging in Chinese older adults: a cross-sectional study by Yibing Liu, Jingang Ji, Wenwen Du, Qiuye Cao, Chang Su, Yuna He, Huijun Wang, Xiaofang Jia

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Assessing the establishment risk for parthenogenetic populations of Lissorhoptrus oryzophilus in global rice-growing areas and potential economic impact in China by Luoyuan Li, Luoyuan Li, Zhenan Jin, Ming Li, Yantao Xue, Jianyang Guo, Dong Jia, Ruiyan Ma, Zhichuang Lü, Xiaoqing Xian, Wanxue Liu

“…We applied an optimized MaxEnt model to predict the global suitable areas of the populations under current and future climate scenarios. …”
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Graphene oxide and its derivatives films for sustained-release trace element zinc based on cation-π interaction by Wei Zhang, Yijia He, Hongwei Zhu, Xiao Li, Zucai Zou, Chaogui Luo, Jianlie Wei, Baoying Lu, Duo Zhang, Ming Zhou

“…By adjusting the interface properties of GO, RGO (rippled graphene oxide) and CGO (crumpled graphene oxide) were successfully prepared, and their interactions with cations and the impact on sustained-release performance were studied. The selected optimal kinetic model provides a theoretical basis for material design. …”
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The mechanistical principles and engineering application of roof- cutting for roadway protection in advance of the working face by Zhaotai Li, Yuejin Zhou, Xiaoding Xu, Yuhang Xiao, Yunong Xu

“…Abstract In coal mining operations, it is often challenging to control the deformation of the roadway in front of the working face. …”
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AI-strategic game-theoretic analysis of haze management: A study on local government decision-making in China by Jafar Hussain, Benjamin Lev, Zhenyu Qiu, Xinting Ding, Jifan Ren, Jinyi Tian

“…To solve this problem, this study develops a game-theoretic model to capture the strategic interactions among local governments as they implement haze control policies. …”
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A Y chromosome-linked genome editor for efficient population suppression in the malaria vector Anopheles gambiae by Ignacio Tolosana, Katie Willis, Matthew Gribble, Lee Phillimore, Austin Burt, Tony Nolan, Andrea Crisanti, Federica Bernardini

“…To our knowledge, our system represents a pioneering approach in the engineering of the Y chromosome to generate a genetic control strain for mosquitoes. Mathematical modelling shows that this YLE technology is up to seven times more efficient for population suppression than optimal versions of other self-limiting strategies, such as the widely used Sterile Insect Technique or the Release of Insects carrying a Dominant Lethal gene.…”
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Healthcare providers intentions to use an electronic personal health record for undocumented migrants: A qualitative exploration study in The Netherlands by Paulien Tensen, Simone van Dormolen, Steven J. M. van de Vijver, Myrthe L. van de Pavert, Charles O. Agyemang

“…Open coding and axial coding were used for data coding, organised using the Technology Acceptance Model (TAM). HCPs reported a positive user intention towards using an EPHR for UDMs, coupled with a cautious optimism regarding UDMs’ willingness to use an EPHR. …”
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Smart Electric Vehicle Charging Algorithm to Reduce the Impact on Power Grids: A Reinforcement Learning Based Methodology by Federico Rossi, Cesar Diaz-Londono, Yang Li, Changfu Zou, Giambattista Gruosso

“…The increasing penetration of electric vehicles (EVs) presents a significant challenge for power grid management, particularly in maintaining network stability and optimizing energy costs. Existing model predictive control (MPC)-based approaches for EV charging and discharging scheduling often struggle to balance computational efficiency with real-time operationability. …”
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