The European summer heatwave of 2019 – a regional storyline perspective by T. Klimiuk, P. Ludwig, A. Sanchez-Benitez, H. F. Goessling, P. Braesicke, P. Braesicke, J. G. Pinto

“…Along with its scientific value, our method provides ways to facilitate the communication of regional climate change information to users.…”
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RSCIWANet: Regional Spatial-Channel Information Weighted Attention Network for Video SAR and Large-Scale SAR Image Targets Detection by Hao Chang, Ping Lang, Xiongjun Fu, Kunyi Guo, Xinqing Sheng, Jialin Guan, Chuyi Liu

“…Both traditional methods and contemporary deep learning-based solutions exhibit limitations: inadequate dynamic target adaptability, weak small-target detection, and redundant recognition in large-scale scenarios, stemming from challenges like target ambiguity, occlusion, and interclass similarity. …”
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Characterizing heterogeneity in Alzheimer’s disease progression: a semiparametric model by Fatih Gelir, Suneel Babu Chatla, Md. Shenuarin Bhuiyan, Elizabeth A. Disbrow, Steven A. Conrad, John A. Vanchiere, Christopher G. Kevil, Emrah Gecili, Mohammad Alfrad Nobel Bhuiyan

“…Abstract The progression of Alzheimer’s disease (AD), a leading cause of dementia worldwide, is known for its variability and complexity, challenging the conventional methods of monitoring and predicting disease trajectories. …”
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The critical involvement of monocytes/macrophages in the pathogenesis of primary Sjögren's syndrome: New evidence from Mendelian randomization and single-cell sequencing by Yimei Ding, Xue Luan, Jiaqi Hou

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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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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

“…Phylogenetic analysis, principal components analysis, and unsupervised clustering methods all supported a single genetic population. …”
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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

“…This study aims to elucidate metabolic signatures associated with tramadol consumption, enhancing predictive capabilities for therapeutic outcomes and optimizing patient-specific treatment plans. <b>Methods</b>: Data were obtained from the Qatar Biobank (QBB), focusing on pharmacogenomic variants associated with tramadol use and prescription trends. …”
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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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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

“…Moreover, it offers improved power quality, bandwidth, and voltage regulation compared to conventional methods under both normal operating conditions and in response to small-signal perturbations.…”
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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

“…The results show that when the coal reservoir is 1 m and 5 m away from the high aquifer, the three fracturing methods show the characteristics of low gas production, high water production and late gas occurrence time. …”
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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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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

“…The proposed TCN-MAML achieves 99.6% accuracy, demonstrating superior generalization and efficiency over baseline methods. Experimental results confirm the framework’s suitability for low-power, real-time HAR systems embedded in IoT sensor networks.…”
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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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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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Feasibility of decentralised deployment of Xpert MTB/RIF test at lower level of health system in India. by Neeraj Raizada, K S Sachdeva, Achuthan Sreenivas, Bhavin Vadera, R S Gupta, Malik Parmar, Shubhangi Kulsange, Ameet Babre, Rahul Thakur, Christen Gray, Ranjani Ramachandran, Umesh Alavadi, Mayank Ghedia, Balasangameshwara Vollepore, Puneet Dewan, Catharina Boehme, C N Paramsivan

“…Significant variation was observed in failure rates both across instruments and over time; furthermore, substantial variation was observed in failure rate in two cartridges lots.…”
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Development and validation of the multidimensional machine learning model for preoperative risk stratification in papillary thyroid carcinoma: a multicenter, retrospective cohort s... by Jia-Wei Feng, Lu Zhang, Yu-Xin Yang, Rong-Jie Qin, Shui-Qing Liu, An-Cheng Qin, Yong Jiang

“…Abstract Background This study aims to develop and validate a multi-modal machine learning model for preoperative risk stratification in papillary thyroid carcinoma (PTC), addressing limitations of current systems that rely on postoperative pathological features. Methods We analyzed 974 PTC patients from three medical centers in China using a multi-modal approach integrating: (1) clinical indicators, (2) immunological indices, (3) ultrasound radiomics features, and (4) CT radiomics features. …”
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