Case report: Biphasic autonomic response in decompression sickness: HRV and sinoatrial findings by Gerald Schmitz

“…BackgroundDecompression sickness (DCS) may involve neurological and cardiovascular systems, but cardiac autonomic dysfunction is rarely documented. Heart rate variability (HRV) can provide insight into autonomic modulation in such cases, particularly when incorporating advanced nonlinear and dynamic techniques.CaseWe present a 35-year-old recreational diver who developed neurological DCS and persistent bradycardia following multiple consecutive dives. …”
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Mitochondrial oxidative phosphorylation (mtOXPHOS) serves as a sentinel to gauge fluctuations under heat stress in Arabidopsis thaliana elucidated by comparative transcriptomics by Muhammad Riaz, Erum Yasmeen, Moyang Liu, Hafiz Saqib Ali, Mengli Lv, Hu Shi, Chuanhui Du, Tiantian Dong, Zhenxin Liu, Qingwei Song, QiJun Ma, Kaijing Zuo

“…Hence, we concluded that appropriate mitochondrial dynamics, higher oxygen consumption rate (∼15.49-fold higher than mutant at 44 °C) and the sufficient levels of ATP production in roots (∼1.78-fold higher than mutant at 44 °C) ensure plant survival under heat stress. …”
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Development of an Algorithm for Clustering Cardiac ECG Signals with Post-Correction for Long-Term ECG Monitoring by I. A. Kondratyeva, A. S. Krasichkov, O. A. Stancheva, E. Mbazumutima, F. Shikema, E. M.

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Enhanced Visible Light Communication for Real-Time Audio With Interference-Resilient Protocols by Kanchana Chathurangi Ahangama, Hemali Pasqual, Chinthaka Premachandra, H. Waruna Haripriya Premachandra

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Complying with the EU AI Act: Innovations in explainable and user-centric hand gesture recognition by Sarah Seifi, Tobias Sukianto, Cecilia Carbonelli, Lorenzo Servadei, Robert Wille

“…Leveraging this real-world dataset, we enhance XentricAI’s capabilities by integrating a variational autoencoder module for improved gesture anomaly detection, incorporating user-specific dynamic thresholding. …”
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The autonomic response following taVNS predicts changes in level of consciousness in DoC patients by Yan Li, Francesco Riganello, Jing Yu, Martina Vatrano, Mingquan Shen, Lijuan Cheng, Xiaohua Hu, Chengcheng Ni, Feiyang Wang, Bo Zheng, ChengCheng Zhang, Chaoyi Xie, Meiqi Li, Wangshan Huang, Fangfang Shou, Nantu Hu, Steven Laureys, Haibo Di

“…The study investigates the utility of transcutaneous auricular vagus nerve stimulation (taVNS) in modulating autonomic responses, as evidenced through heart rate variability (HRV), for distinguishing between healthy individuals and DoC patients and for prognosticating patient outcomes. …”
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Research on Breast Cancer Detection Methods Based on ODMV-MulDyHead-YOLO by Yanhong Zhang, Pei Li, Yihua Lan, Xiao Jia, Yingjie Lv

“…The experimental results show that the improved model achieves higher accuracy, sensitivity, and detection speed than previous models, and reduces false positive and false negative rates. In addition, two-core convolution is used instead of the normal 2D convolution in the C3 module. …”
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Restricted Surface Diffusion of Cytochromes on Bioenergetic Membranes with Anionic Lipids by Aaron Chan, Emad Tajkhorshid

“…Interactions between cytochromes and phospholipid head groups in the membrane can in principle affect the rate of its travel between ETC components, hence influencing the rate of ATP turnover. …”
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YOLOv9-AAG: Distinguishing Birds and Drones in Infrared and Visible Light Scenarios by Peichun Suo, Jincan Zhu, Qingyang Zhou, Weili Kou, Xiuyan Wang, Wen Suo

“…On an optical dataset containing multiple bird and drone targets, YOLOv9-AAG achieved recognition accuracy rates of 78.2%, while on an infrared dataset, it reached 86.1%. …”
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A dynamical process-based model for quantifying global agricultural ammonia emissions – AMmonia–CLIMate v1.0 (AMCLIM v1.0) – Part 2: Livestock farming by J. Jiang, J. Jiang, J. Jiang, D. S. Stevenson, A. Uwizeye, G. Tempio, A. Falcucci, F. Casu, M. A. Sutton

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An Adaptive Multi-Layer Anti-Lock Braking Control Method Based on Fuzzy Logic by Yajing Kang, Shuai Cheng, Liang Guo, Chao Zheng, Jizhuang Zhao

“…Integrating various control technologies and optimized through an automatic switching logic, AMABC includes a Deceleration Rate Control module, a Pressure Optimization module, and a Fuzzy-based Anti-lock Control module. …”
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QoS-Aware Link Adaptation for Beyond 5G Networks: A Deep Reinforcement Learning Approach by Ali Parsa, Neda Moghim, Sachin Shetty

“…In this paper, we propose QDRLLA (QoS-aware Deep Reinforcement Learning-based Link Adaptation), a novel framework that employs deep reinforcement learning to dynamically adjust key link parameters, including modulation and coding schemes, transmission power, and subcarrier spacing, based on the QoS requirements of each application. …”
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Effective connectivity analysis of response inhibition functional network by Monica Di Giuliano, Andy Schumann, Feliberto de la Cruz, Pedro Henrique Rodrigues Da Silva, Karl-Jürgen Bär

“…Furthermore, we identified a significant correlation between the inhibitory influence from the SMN to the SN and the commission error rate. Finally, correlation analyses between self-reported impulsivity levels and causal network interactions revealed that highly impulsive individuals require greater interhemispheric integration between the right and left ECNs for effective inhibition, as well as a causal excitatory modulation from the right executive control network (rECN) to the vDMN.DiscussionIn summary, our study reveals complex hierarchical dynamics among functional networks during response inhibition. …”
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Intelligent Health Monitoring in 6G Networks: Machine Learning-Enhanced VLC-Based Medical Body Sensor Networks by Bilal Antaki, Ahmed Hany Dalloul, Farshad Miramirkhani

“…First, we introduce a Q-learning-based adaptive modulation scheme that meets target symbol error rates (SERs) in real time without prior environmental information. …”
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Avalanche Photodiode-Based Deep Space Optical Uplink Communication in the Presence of Channel Impairments by Wenjng Guo, Xiaowei Wu, Lei Yang

“…Webb and Gaussian approximations are employed to characterize APD output statistics, with theoretical symbol error rate (SER) expressions for pulse position modulation (PPM) derived under diverse impairment scenarios. …”
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Coordinated Sliding Mode and Model Predictive Control for Enhanced Fault Ride-Through in DFIG Wind Turbines by Ahmed Muthanna Nori, Ali Kadhim Abdulabbas, Tawfiq M. Aljohani

“…The simulation results demonstrate that the proposed control approach successfully limits overcurrent in the RSC, maintains electromagnetic torque and DC-link voltage within their rated values, and dynamically regulates reactive power to mitigate voltage sags and swells. …”
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YOLOv8-OCHD: A Lightweight Wood Surface Defect Detection Method Based on Improved YOLOv8 by Zuxing Chen, Junjie Feng, Xueyan Zhu, Bin Wang

“…Firstly, to enhance the ability to capture multi-dimensional features of wood surface defects and reduce information loss, a fully dynamic convolution (ODConv) is introduced. Secondly, a C2f_RVB module is designed, which uses the RepViTBlock technique to optimize feature representation and effectively reduce the number of model parameters. …”
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Spatiotemporal Analysis of Disease Spread Using a Soliton-Based SIR Framework for Nomadic Populations by Qura Tul Ain, Xiaoli Qiang, Noor Ul Ain, Zheng Kou

“…The proposed model incorporates an advection–diffusion mechanism that modulates the spatial gradients in infection dynamics, transitioning from highly localized infection peaks to distributed infection fronts. …”
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A Contrastive-Augmented Memory Network for Anti-UAV Tracking in TIR Videos by Ziming Wang, Yuxin Hu, Jianwei Yang, Guangyao Zhou, Fangjian Liu, Yuhan Liu

“…Moreover, to avoid model degradation, an adaptive dynamic memory module (ADM) is proposed to maintain a dynamic template to cope with the feature variation of the target in long sequences. …”
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Beyond gold: the chemoenhancing mechanism and therapeutic potential of auranofin in melanoma by Xiaofeng Wang, Yingnan Liu, Wuqiong Zhang, Zhongda Li, Su Li, Jiaxin Chen, Qi Li, Xiaoman Suo, Yanqiao Zeng, Guofang Zhang, Yang Li

“…The anti-tumor efficacy of co-treatment with AF and DOX was assessed by examining cell viability and apoptotic rates. Results: Co-treatment with AF and DOX significantly increased anti-tumor efficacy, as evidenced by reduced cell viability and increased apoptotic rates. …”
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