Bidirectional relationship between epigenetic age and stroke, dementia, and late-life depression by Cyprien A. Rivier, Natalia Szejko, Daniela Renedo, Santiago Clocchiatti-Tuozzo, Shufan Huo, Adam de Havenon, Hongyu Zhao, Thomas M. Gill, Kevin N. Sheth, Guido J. Falcone

“…Participants with a prior brain health event are 4% epigenetically older (β = 0.04, SE = 0.01), indicating these conditions are associated with accelerated aging beyond that captured by chronological age. Additionally, a one standard deviation increase in epigenetic age is associated with 70% higher odds of experiencing a brain health event in the next four years (OR = 1.70, 95% CI = 1.16–2.50), suggesting epigenetic age acceleration is not just a consequence but also a predictor of poor brain health. …”
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Towards Transparent AI in Medicine: ECG-Based Arrhythmia Detection with Explainable Deep Learning by Oleksii Kovalchuk, Oleksandr Barmak, Pavlo Radiuk, Liliana Klymenko, Iurii Krak

“…This model processes a triad of cardio cycles—the preceding, current, and following cycles—to capture temporal dependencies and hidden features related to arrhythmias. …”
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DYSSS: A Dynamic and Context-Aware Security System for Shared Sensor Networks by Claudio M. de Farias, Luci Pirmez, Luiz F. R. C. Carmo, Davidson Boccardo, Flávia C. Delicato, Igor L. dos Santos, Renato Pinheiro, Rafael O. Costa

“…As Wireless Sensor and Actuator Networks (WSANs) design starts shifting from application-specific platforms to shared system infrastructures, a pressing research challenge is security. …”
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Battery Prognostics and Health Management: AI and Big Data by Di Li, Jinrui Nan, Andrew F. Burke, Jingyuan Zhao

“…By harnessing technologies such as big data analytics, cloud computing, the Internet of Things (IoT), and deep learning, AI provides robust, data-driven solutions for capturing and predicting battery degradation. These advancements address long-standing limitations in battery prognostics, enabling more accurate and reliable performance assessments. …”
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Modeling the Joint Choice Decisions on Urban Shopping Destination and Travel-to-Shop Mode: A Comparative Study of Different Structures by Chuan Ding, Binglei Xie, Yaowu Wang, Yaoyu Lin

“…A comparison of the different models shows that the proposed CNL model structure offers significant improvements in capturing unobserved correlations between alternatives over MNL model and NL model. …”
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An intelligent humidity sensing system for human behavior recognition by Huabin Yang, Qiming Guo, Guidong Chen, Yuefang Zhao, Meng Shi, Na Zhou, Chengjun Huang, Haiyang Mao

“…This significant improvement enables the capture of weak humidity variations in exhaled gases, while the thermistor continuously monitors the sensor’s temperature during use and provides crucial temperature information related to respiration. …”
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MCF-DTI: Multi-Scale Convolutional Local–Global Feature Fusion for Drug–Target Interaction Prediction by Jihong Wang, Ruijia He, Xiaodan Wang, Hongjian Li, Yulei Lu

“…For the target side, it combines MSCNN with Transformer modules to capture both local and global features effectively. …”
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Multi-assay assessment of cytotoxicity reveals multiple mechanisms of action in 3D microtissues by Ahbid Zein-Sabatto, Katerina St. Angelo, Samantha J. Madnick, Diane Hoffman-Kim, Jeffrey R. Morgan, Jonghwan Lee

“…By incorporating outputs from the four assays, we introduced a new lethal concentration threshold that captures changes from different cellular injuries to provide a more comprehensive evaluation of cytotoxicity. …”
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An epidemiological modeling investigation of the long-term changing dynamics of the plague epidemics in Hong Kong by Salihu S. Musa, Shi Zhao, Winnie Mkandawire, Andrés Colubri, Daihai He

“…By fitting our model to historical pneumonic plague data, we accurately capture the incidence curves observed during the epidemic periods, which reveals some crucial insights into the dynamics of pneumonic plague transmission by identifying the epidemic driving factors and quantities such as the lifespan of flea vectors, the rate of rodent spread, as well as demographic parameters. …”
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Service Differentiated and Adaptive CSMA/CA over IEEE 802.15.4 for Cyber-Physical Systems by Feng Xia, Jie Li, Ruonan Hao, Xiangjie Kong, Ruixia Gao

“…In addition, Quality of Service (QoS) provisioning in CPS, especially in the wireless sensor/actuator networks, plays an essential role in Smart Grid applications. …”
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Error Signal Differential Term Feedback Enhanced Variable Step Size FxLMS Algorithm for Piezoelectric Active Vibration Control by Weiguang Li, Wei Wang, Bin Li, Zhichun Yang

“…Subsequently, a DVSFxLMS controller is designed to carry out the AVC simulation and experiments on cantilever beam with PSA (piezoelectric stack actuator). Simulation and experimental results show that the proposed DVSFxLMS algorithm has faster convergence rate and smaller steady-state error than the traditional FxLMS algorithm, which also has strong antinoise ability and adaptive control ability to quickly track the variable external disturbance.…”
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Prediction of Sonic Log Values Using a Gradient Boosting Algorithm in the 'AB' Field by Rasif Nahari, Utama Widya, Ardhya Garini Sherly, Fitri Indriani Rista, Pratama Novian Putra Dhea

“…However, logging tools sometimes fail to capture formation parameters accurately, creating gaps in well log data. …”
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Machine learning approaches to Landsat change detection analysis by Galen Richardson, Anders Knudby, Morgan A. Crowley, Michael Sawada, Wenjun Chen

“…The Landsat mission has captured images of the Earth’s surface for over 50 years, and the data have enabled researchers to investigate a vast array of different change phenomena using machine learning models. …”
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Effects of Habitat Change on the Web Characteristics and Fitness of the Giant Wood Spider (Nephila pilipes) in Sri Lanka by Tharaka Wijerathna, Dilini Tharanga, Inoka C. Perera, Mayuri R. Wijesinghe

“…The nonforest webs were more closely knit (smaller mesh spaces) and the hub was placed at higher position on the web than that in the forest webs both altering prey capture efficiency. Also, females in nonforest habitats were significantly smaller than those in the forest, indicating lowered fitness. …”
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Soil Phosphorus Storage Capacity for Environmental Risk Assessment by Vimala D. Nair, Willie G. Harris

“…A concept called the “safe” soil phosphorus storage capacity (SPSC) that is based on a threshold phosphorus saturation ratio (PSR) has been developed; the PSR is the molar ratio of P to Fe and Al, and SPSC is a PSR-based calculation of the remaining soil P storage capacity that captures risks arising from previous loading as well as inherently low P sorption capacity of a soil. …”
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Visual Research Methods: A Novel Approach To Understanding The Experiences of Compulsive Hoarders: A Preliminary Study by Satwant Singh, Colin Jones

“…Participants were asked to take photographs which best captured their hoarding problems. The photographs were then used to encourage narrative dialogue in a subsequent semi structured interview. …”
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Noise-Aware Quantum Amplitude Estimation by Steven Herbert, Ifan Williams, Roland Guichard, Darren Ng

“…We also show that the proposed Gaussian noise model can be easily composed with other noise models in order to capture effects that are not well described by Gaussian noise. …”
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Integrating IoT data and reinforcement learning for adaptive macroeconomic policy optimization by Cong Peng, Yongshan Zhang, Liheng Jiang

“…MLD-Net effectively aligns multi-frequency data, captures complex temporal patterns, and adjusts policies in real-time. …”
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Hamiltonian Neural Network 6-DoF Rigid-Body Dynamic Modeling Based on Energy Variation Estimation by Fei Simiao, Huo Lin, Sun Zhixiao, Wang He, Lu Yuanjie, He Jile, Luo Qing, Su Qihang

“…This constructed bias captures the information regarding the changes in the rigid body’s energy. …”
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Semantic‐aware visual consistency network for fused image harmonisation by Huayan Yu, Hai Huang, Yueyan Zhu, Aoran Chen

“…Appearance gaps in composite images caused by distinct capture conditions can degrade the visual quality and affect the accuracy of other image processing and analysis results. …”
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