Longitudinal analysis of genetic and environmental interplay in human metabolic profiles and the implication for metabolic health by Jing Wang, Alberto Zenere, Xingyue Wang, Göran Bergström, Fredrik Edfors, Mathias Uhlén, Wen Zhong

“…Variability in metabolic profiles, influenced by genetic makeup, lifestyle, and environmental exposures, plays a critical role in disease susceptibility and progression. Methods We conducted a two-year longitudinal study involving 101 clinically healthy individuals aged 50 to 65, integrating genomics, metabolomics, lipidomics, proteomics, clinical measurements, and lifestyle questionnaire data from repeat sampling. …”
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Hydrological changes in the Upper Yellow River under the impact of upstream cascade reservoirs over the past 70 years by Jing Hu, Xiong Zhou, Yujun Yi, Chunhui Li, Xuan Wang, Qiang Liu, Jiansu Mao

“…Study focus: In this study, a variety of mathematical statistical methods, the Indicators of Hydrologic Alteration—Range of Variability (IHA-RVA) method, and the newly proposed Flow Surplus-Deficit (QS-QD) method were integrated to analyze the impact of cascade dam development on hydrological changes over the past 70 years in the UYRB. …”
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Endangered Pinto/Northern Abalone (Haliotis kamtschatkana) are Panmictic Across Their 3700 km Range Along the Pacific Coast of North America by J. L. Dimond, J. V. Bouma, F. Lafarga‐De la Cruz, K. J. Supernault, T. White, D. A. Witting

“…ABSTRACT Connectivity is integral to the dynamics of metapopulations through dispersal and gene flow, and understanding these processes is essential for guiding conservation efforts. …”
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Pharmacogenomics and Pharmacometabolomics in Precision Tramadol Prescribing for Enhanced Pain Management: Evidence from QBB and EMR Data by Dhoha Dhieb, Najeha Anwardeen, Dinesh Velayutham, Mohamed A. Elrayess, Puthen Veettil Jithesh, Kholoud Bastaki

“…<b>Conclusions</b>: This study underscores the importance of integrating genetic and omics-based approaches to enhance tramadol’s efficacy and safety. …”
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TRAPT: a multi-stage fused deep learning framework for predicting transcriptional regulators based on large-scale epigenomic data by Guorui Zhang, Chao Song, Mingxue Yin, Liyuan Liu, Yuexin Zhang, Ye Li, Jianing Zhang, Maozu Guo, Chunquan Li

“…Moreover, we successfully identify key TRs associated with diseases, genetic variations, cell-fate decisions, and tissues. Our method provides an innovative perspective on identifying TRs by using epigenomic data.…”
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Prediction of Sea Surface Chlorophyll-a Concentrations by Remote Sensing and Deep Learning by Qingfeng Ruan, Delu Pan, Difeng Wang, Xianqiang He, Fang Gong, Qingjiu Tian

“…This study aims to enhance the prediction of marine Chl-a concentrations by introducing the chlorophyll-a concentration prediction model (ChlaPM), which was developed on the basis of a convolutional long short-term memory (ConvLSTM) network. The model integrates recent spatiotemporal feature extraction (RSTFE), periodic feature extraction (PFE), and denoising fusion (DNF) modules to effectively capture short-term spatiotemporal changes and periodic variations in Chl-a concentrations. …”
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Enhanced YOLO11n-Seg with Attention Mechanism and Geometric Metric Optimization for Instance Segmentation of Ripe Blueberries in Complex Greenhouse Environments by Rongxiang Luo, Rongrui Zhao, Bangjin Yi

“…This study proposes an improved YOLO11n-seg instance segmentation model to address the limitations of existing models in accurately identifying mature blueberries in complex greenhouse environments. Current methods often lack sufficient accuracy when dealing with complex scenarios, such as fruit occlusion, lighting variations, and target overlap. …”
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The Acute Effects of 25- Versus 60-Minute Naps on Agility and Vertical Jump Performance in Elite Youth Soccer Players: The Role of Individual Chronotype by Özgür Eken, Mertkan Öncü, Ahmet Kurtoğlu, Oguzhan Bozkurt, Musa Türkmen, Monira I. Aldhahi

“…These findings suggest that integrating napping strategies into athletic training programs, while considering individual chronotypic variations, may present opportunities for enhancing specific aspects of athletic performance. …”
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Multi-scenario simulations of future land use and ecosystem services in wetland ecosystems of Binhai, Tianjin by Ang Yue, Ang Yue, Xueer Guo, Haiying Gong, Li Ma, Wanfeng Wang

“…This study used remote sensing images from 2000 to 2020 to explore changes in the ecological value of the four wetland nature reserves in Binhai, Tianjin. By integrating the PLUS model and ecosystem service value (ESV) assessment methods, this study explored the spatiotemporal evolution of the Binhai wetland ecosystem from 2000 to 2020 and systematically simulated land use changes and their impacts on ESVs under three scenarios: natural development, economic development, and ecological conservation. …”
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DVF-NET: Bi-Temporal Remote Sensing Image Registration Network Based on Displacement Vector Field Fusion by Mingliang Xue, Yiming Zhang, Shucai Jia, Chong Cao, Lin Feng, Wanquan Liu

“…This paper introduces DVF-NET, a novel deep learning-based framework for dual-temporal remote sensing image registration. DVF-NET integrates two displacement vector fields to address nonlinear distortions caused by significant variations between images, enabling more precise image alignment. …”
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Small-Signal Stability Analysis of DC Microgrids by Alamgir Hossain, Michael Negnevitsky, Xiaolin Wang, Evan Franklin, Waqas Hassan, Md. Alamgir Hossain, Evan Gray, Pooyan Alinaghi Hosseinabadi

“…The conventional cascaded control strategies using proportional-integral-derivative controllers often result in high settling times, considerable oscillations, poor voltage regulation, and low bandwidth. …”
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Fracturing location optimization of floor coalbed methane wells with high water content in Hancheng Block by Wei WANG, Haifeng ZHAO, Dezhi WANG, Wang ZHANG, Liang JI, Hong JIANG

“…When the distance from the aquifer increases to 10 m and 15 m, the variation range of water and gas production is small. …”
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Semantic and Geometric Fusion for Object-Based 3D Change Detection in LiDAR Point Clouds by Abderrazzaq Kharroubi, Fabio Remondino, Zouhair Ballouch, Rafika Hajji, Roland Billen

“…The proposed method first classifies bi-temporal point clouds into ground, vegetation, buildings, and moving objects. …”
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Comprehensive Analysis of Influenza Viruses’ Trends in Italy: Insights from a Nationwide and Regional Perspective by Francesco Branda , Nicola Petrosillo , Dong Keon Yon , Massimo Ciccozzi , Fabio Scarpa 

“…<b>Methods</b>. We conducted a systematic approach to data collection, processing, and visualization, utilizing influenza surveillance data from ISS. …”
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Road Perception for Autonomous Driving: Pothole Detection in Complex Environments Based on Improved YOLOv8 by Siyuan Kong, Qiao Meng, Xin Li, Zhijie Wang, Xin Liu, Bingyu Li

“…However, existing detection methods are often affected by variations in lighting, weather conditions, and complex environments, resulting in lower detection precision and recall rates. …”
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Bioinspired piezoelectric patch design for sonodynamic therapy: a preclinical mechanistic evaluation of rotator cuff repair and functional regeneration by Rui Shi, Rui Shi, Fei Liu, Qihuang Qin, Pinxue Li, Ziqi Huo, You Zhou, Chunyan Jiang

“…Piezoelectric materials, known for modulating cellular functions and promoting stem cell proliferation and differentiation, have garnered increasing attention in tissue repair applications.MethodsIn this study, a biomimetic piezoelectric patch with progressive compositional and structural variations was designed and fabricated. …”
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The use of race and ethnicity in sickle cell disease research by Aida S. Kidane Gebremeskel, Minke A. Rab, Erik D. van Werkhoven, Teun B. Petersen, Marjon H. Cnossen, Amade M’charek, Karlijn A. C. Meeks, Anita W. Rijneveld

“…Data were collected on whether ERC adjustment was employed, regional variations in ERC-adjustment rates, labels used for ERCs, rationales provided for ERC matching, and methods used for ERC determination. 28% of the studies utilized ERC adjustment, with significant regional disparities (p < 0.001). …”
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Quantitative analysis of impurities deposited on the Plasma-Facing Components of EAST tokamak using a portable LIBS device by Zhenhua Hu, Xue Bai, Huace Wu, Ran Hai, Fang Ding, Muhammad Imran, Cong Li, Hongbin Ding, Guang-Nan Luo

“…The quantitative results of the deposited impurities on PFCs further provide a more detailed interpretation of the variations in impurity deposition. The successful in situ assessment of impurities deposited on the EAST tokamak using a portable LIBS device demonstrates the potential for integrating the LIBS system into a remote handling system. …”
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TCN-MAML: A TCN-Based Model with Model-Agnostic Meta-Learning for Cross-Subject Human Activity Recognition by Chih-Yang Lin, Chia-Yu Lin, Yu-Tso Liu, Yi-Wei Chen, Hui-Fuang Ng, Timothy K. Shih

“…Unlike wearable sensor systems that require user compliance, Wi-Fi channel state information (CSI) enables device-free recognition by capturing variations in signal propagation caused by human motion. …”
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Invasive haemodynamic assessment in heart failure with preserved ejection fraction by Phuuwadith Wattanachayakul, Veraprapas Kittipibul, Husam M. Salah, Hidenori Yaku, Finn Gustafsson, Claudia Baratto, Sergio Caravita, Marat Fudim

“…These difficulties arise primarily from the heterogeneous nature of the condition, the presence of various comorbidities and a wide range of phenotypic variations. Considering these challenges, current international guidelines endorse the utilization of invasive haemodynamic assessments, including resting and exercise haemodynamics, as the gold standard for enhancing diagnostic accuracy in cases where traditional diagnostic methods yield inconclusive results. …”
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