The Tanaidacea challenge to invasion science: taxonomic ambiguities and small size result in another potential overlooked introduction to the Iberian coast and nearby areas by Anna Stępień, Anna M. Jażdżewska, Romeu S. Ribeiro, Rafael Santos, Macarena Ros

“…Here we investigate specimens that resembled both Hexapleomera sasuke and Zeuxo turkensis collected in marinas around the Iberian and Moroccan coasts. Integrating morphological and molecular methods (barcoding) we confirmed: (1) the first record and presence of well-structured populations of Z. turkensis in Spain, Portugal and Morocco, representing the first record of the species for Atlantic waters; (2) the conspecificity between H. sasuke and Z. turkensis, which should be synonymized; and (3) the wide distribution of Z. turkensis associated with human transport hubs (i.e. marinas) in the study area, showing its potential for introduction and spread. …”
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Palliative care in policy documents for adults with cancer and non-cancer diseases with potential palliative care needs: a document analysis by Anna O’Sullivan, Linnéa Carling, Joakim Öhlén, Stina Nyblom, Anneli Ozanne, Ragnhild Hedman, Carl-Johan Fürst, Cecilia Larsdotter

“…Design: Document analysis. Methods: A document analysis of Swedish policy documents for different disease-specific groups with severe chronic conditions, cancer and non-cancer, was performed. …”
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Typical Crop Classification of Agricultural Multispectral Remote Sensing Images by Fusing Multi-Attention Mechanism ResNet Networks by Zongpu Li, Zhiyun Xiao, Yulong Zhou, Tengfei Bao

“…Traditional crop classification methods have three critical limitations: (1) dependency on labor-intensive field surveys with limited spatial coverage, (2) susceptibility to human subjectivity during manual data collection, and (3) the inability to capture fine-grained spectral variations due to the lack of multispectral analysis. …”
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A study of motor imagery EEG classification based on feature fusion and attentional mechanisms by Tingting Zhu, Hailin Tang, Lei Jiang, Yijia Li, Shijun Li, Shijun Li, Zhijian Wu, Zhijian Wu

“…IntroductionMotor imagery EEG-based action recognition is an emerging field arising from the intersection of brain science and information science, which has promising applications in the fields of neurorehabilitation and human-computer collaboration. However, existing methods face challenges including the low signal-to-noise ratio of EEG signals, inter-subject variability, and model overfitting.MethodsWe propose HA-FuseNet, an end-to-end motor imagery action classification network. …”
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Geochemical characteristics of apatite in metabasic rocks under different metamorphic conditions: a case study from the Paleoproterozoic Trans-North China Orogen by YANG Yuqing, GAO Peng, ZHANG Jian, LIU Xiaoguang, CHENG Changquan, YIN Changqing, QIAN Jiahui

“…Conclusion  This study shows that trace element variations in apatite can clearly reflect the influence of metamorphic grades, crustal anatexis, and coexisting rock-forming minerals with variations in temperature and pressure conditions during metamorphism.   …”
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Automatic motion recognition technology based on fuzzy clustering algorithm and VR video image by Ganbin Xu, Jianwei Lin

“…Current dynamic video segmentation methods emphasize iterative pixel-level classification based on fuzzy membership levels. …”
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Cryogels with controllable physico-chemical properties as advanced delivery systems for biomedical applications by Mucong Li, Xuyan Wei, Jiaqian You, Jian Feng, Xiuyu Liu, Jing Zhou, Qianju Wu, Yidi Zhang, Yanmin Zhou

“…This review paper provides an overview on synthesis methods, features, delivery advantages and mechanisms of cryogels. …”
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ML-Empowered Microservice Workload Prediction by Dual-Regularized Matrix Factorization by Xiaoxuan Luo, Hong Shen, Wei Ke

“…Experiments on the Alibaba dataset show that TDDRMF achieves 18.5% lower RMSE than TAMF in 10-step prediction, improving the existing matrix factorization methods in accuracy. In comparison with ML-based methods, as TDDRMF uses only 5% of their training data, it requires only a small fraction of their training time.…”
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Digital nationalism: analyzing the role of sports in Thai identity through social media by Sid Terason, Boonyada Pahasing

“…Employing qualitative methods, including thematic analysis, we examined over 500 social media posts, comments and interactions purposively sampled from Facebook, X and Instagram during major sports events such as the Olympics, Asian Games and Southeast Asian Games. …”
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Tracing the invasion: Wing morphometrics reveal population spread and adaptation patterns of Halyomorpha halys (Stål, 1855) across Southern Europe. by Martina Pajač Beus, Darija Lemic, Hugo A Benítez, Laura M Pérez, Mojca Rot, Aleksandra Konjević, Stefanos S Andreadis, Ivana Pajač Živković

“…These results show that wing morphology can reliably detect invasion-related patterns and phenotypic plasticity and is a valuable tool for biomonitoring in integrated pest management programs, especially in areas where genetic methods are less feasible. …”
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Dynamic Graph Attention Network for Skeleton-Based Action Recognition by Zhenhua Li, Fanjia Li, Gang Hua

“…Skeleton-based human action recognition has garnered significant attention for its robustness to background noise and illumination variations. However, existing methods relying on Graph Convolutional Networks (GCNs) and Transformers exhibit inherent limitations: GCNs struggle to model interactions between non-adjacent joints due to predefined skeletal topology, while Transformers accumulate noise through unrestricted global dependency modeling. …”
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Application of Bayesian Statistics in Analyzing and Predicting Carburizing-Induced Dimensional Changes in Torsion Bars by Guojin Sun, Zhenggui Li, Yanxiong Jiao, Qi Wang

“…This study investigates the application of Bayesian statistical methods to analyze and predict the dimensional changes in torsion bars made from 20CrMnTi alloy steel during carburizing heat treatment. …”
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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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Long wave propagation delay correlation testing and pattern analysis by Jianchen Di, Jun Fu, Zhenzhong Li, Wenkui li, Liang Liu, Miao Wu

“…Abstract The complexity of long-wave propagation paths and real-time variations in meteorological conditions can make it challenging to predict accurately the propagation delays of long waves, thereby affecting the precision of long-wave navigation and positioning timing. …”
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A Unified Surrogate Framework for Data-Driven Reliability Analysis of Mechanical Systems from Low to Multi-DOF by Lun Shao, Alexandre Saidi, Abdel-Malek Zine, Mohamed Ichchou

“…This paper proposes a unified reliability analysis framework for mechanical and structural systems equipped with Tuned Mass Dampers (TMDs), encompassing single-degree-of-freedom (1-DOF), two-degrees-of-freedom (2-DOF), and ten-degrees-of-freedom (10-DOF) configurations. The methodology integrates four main components: (i) probabilistic uncertainty modeling for mass, damping, and stiffness, (ii) Latin Hypercube Sampling (LHS) to efficiently explore parameter variations, (iii) Monte Carlo simulation (MCS) for estimating failure probabilities under stochastic excitations, and (iv) machine learning models, including Random Forest (RF), Gradient Boosting (GB), Extreme Gradient Boosting (XGBoost), and Neural Networks (NNs), to predict structural responses and failure probabilities. …”
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3D Bioprinting Strategies for Melatonin‐Loaded Polymers in Bone Tissue Engineering by Damla Aykora, Ayhan Oral, Cemre Aydeğer, Metehan Uzun

“…Owing to their variation and promising advantages, most of these methods are not translated into clinical practice. …”
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LIM: Lightweight Image Local Feature Matching by Shanquan Ying, Jianfeng Zhao, Guannan Li, Junjie Dai

“…Our design emphasizes robustness to extreme viewpoint and rotational variations, making it suitable for real-world deployment scenarios. …”
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Application of Electrical Resistivity Tomography and Induced Polarization for Pre-Construction Site Assessment in Ipoh, Perak, Malaysia by Musty Sadiq Bukar, Bery Andy Anderson

“…This study investigates the application of Electrical Resistivity Tomography (ERT) and Induced Polarization (IP) methods for subsurface characterization at a proposed construction site in Ipoh, Perak, Malaysia. …”
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Comparative efficacy of teriparatide and bisphosphonates or denosumab vs. teriparatide monotherapy in osteoporosis: a meta-analysis by Huan Jin, Huan Jin, Cai Huang, Yan Zhang, Ying Dong, Qi Xiong, Di Wang, Di Wang, Ziyi He, Ziyi He, Lin Shen, Chen Ma, Zixian Wang, Bo Shuai

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