AASNet: A Novel Image Instance Segmentation Framework for Fine-Grained Fish Recognition via Linear Correlation Attention and Dynamic Adaptive Focal Loss by Jianlei Kong, Shunong Tang, Jiameng Feng, Lipo Mo, Xuebo Jin

“…This helps resolve inconsistencies caused by lighting changes and color variations, significantly improving the extraction of semantic information for similar objects. …”
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A framework for modeling county-level COVID-19 transmission by Yida Bao, Iris Huang, Qi Li, Zheng Zhang, Yuan Xing, Dongfang Hou, Jiafeng Ye

“…This integrated sequence of methods provides a comprehensive lens for studying epidemiological phenomena. …”
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Harnessing synergy of machine learning and nature-inspired optimization for enhanced compressive strength prediction in concrete by Abba Bashir, Esar Ahmad, Shashivendra Dulawat, Sani I. Abba

“…Given the nonlinear characteristics of supplementary cement material concrete (SCMC) mixtures, researchers are increasingly turning to machine learning methods. This study assesses nine machine learning models, integrating conventional AI algorithms, such as artificial neural network (ANN), support vector regression (SVR), and random forest (RF) with nature-inspired optimization techniques including chicken swarm optimization (CSO), moth flame optimization algorithm (MFO), and whale optimization algorithm (WOA). …”
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Mathematical modelling of cerebral haemodynamics and their effects on ICP by Ka Hing Chu, Ihsane Olakorede, Erta Beqiri, Marek Czosnyka, Peter Smielewski

“…Introduction: Electrical-equivalence mathematical models that integrate vascular and cerebrospinal fluid (CSF) compartments perform well in simulations of dynamic cerebrovascular variations and their transient effects on intracranial pressure (ICP). …”
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Heterogeneity Analysis of Resident Demands and Public Service Facilities in Megacities of China from the Perspective of Urban Health Examination by Ning Zhang, Shaohua Wang, Haojian Liang, Zhuonan Huang, Xiao Li, Zhenbo Wang

“…To improve the monitoring of urban public service facility coverage and supply–demand patterns, this paper adopts an urban diagnostic perspective, using 14 megacities from nine urban agglomerations in China as the study area. By integrating spatial and temporal social sensing big data, including road networks, population, and points of interest (POI) data, and employing spatial analysis methods including coverage rate calculation, supply–demand matching efficiency, spatial heterogeneity, and sp{atial stability analysis, this study reveals the spatial distribution patterns of various facilities within cities, as well as the heterogeneity, balance, and equity of supply–demand matching efficiency between different cities. …”
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Quantifying ecosystem-human water trade-offs: A clean water scarcity perspective by Shanlin Tong, Jie Chen, Rui Xia, Wenpan Li, Yan Chen, Chong-Yu Xu

“…Here, we introduce a novel approach to estimate clean water stress index by integrating changes in ecosystem requirement and human demand. …”
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A novel hybrid deep learning approach for super-resolution and objects detection in remote sensing by Muhammad Asif, Mohammad Abrar, Faizan Ullah, Abdu Salam, Farhan Amin, Isabel de la Torre, Mónica Gracia Villar, Helena Garay, Gyu Sang Choi

“…Abstract Object detection in remote sensing imagery presents challenges due to low resolution, complex backgrounds, occlusions, and scale variations, which are critical in disaster response, environmental monitoring, and surveillance. …”
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High-Accuracy HLA Type Inference from Whole-Genome Sequencing Data Using Population Reference Graphs. by Alexander T Dilthey, Pierre-Antoine Gourraud, Alexander J Mentzer, Nezih Cereb, Zamin Iqbal, Gil McVean

“…Genetic variation at the Human Leucocyte Antigen (HLA) genes is associated with many autoimmune and infectious disease phenotypes, is an important element of the immunological distinction between self and non-self, and shapes immune epitope repertoires. …”
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Transformer-Based Motion Predictor for Multi-Dancer Tracking in Non-Linear Movements of Dancesport Performance by Zhiling Wang

“…Unlike conventional tracking methods that integrate appearance features, MDSTT processes historical bounding box trajectories through a transformer encoder, capturing both long-range and short-term spatio-temporal dependencies while mitigating occlusion-induced identity switches. …”
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Factors that influence the delivery of chiropractic services to equity-deserving groups in Canada: a qualitative study by Nora Bakaa, Stephanie DiPelino, Danielle Southerst, Silvano Mior, Lisa Carlesso, Joy MacDermid, Luciana Macedo

“…Participants were recruited as part of a larger mixed-methods research study, where we conducted a cross-sectional survey assessing Canadian chiropractors' diversity and cultural competency. …”
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A scoping review of worldwide guidelines for diagnosis and treatment of Helicobacter pylori infection by Mingyao Sun, Enyu Liu, Liwen Yang, Huijuan Cao, Mei Han

“…Among all diagnostic methods for H. pylori infection, the urea breath test is widely recommended as the first choice. …”
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Research progress and challenges in thermal maturity evalution of Lower Paleozoic source rocks by Xiaowei ZHENG, Fujie JIANG, Yu ZHANG, Jingqi ZHOU

“…However, their applicability might be constrained by the initial organic matter type and depositional environment. (3) Raman spectroscopy can effectively characterize molecular structure evolution and thermal maturity, through parameters derived from the D1 and G peaks. However, variations in laboratory instruments, wavelength selection, and spectral interpretation methods might limit comparability across studies. …”
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Value of microwave soil moisture and thermal-infrared evapotranspiration retrievals for the mapping of irrigation coverage by Wade T. Crow, Martha C. Anderson, John M. Volk, Andreas Colliander

“…To do this, different satellite-based methods have been proposed to track irrigation from space. …”
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Predicting relative efficacy of anthracyclines and taxanes in breast cancer neoadjuvant AC-T chemotherapy using longitudinal MRI radiomic model by Kaiwen Liu, Ran Zheng, Jiulou Zhang, Siqi Wang, Yingying Jin, Feiyun Wu, Jue Wang, Shouju Wang, Xiaoming Zha, Yuxia Tang

“…Stratifying patients based on the efficacy variations could provide insights to prolong the cycle of AC or T treatment, potentially enhancing the overall efficacy of NAC. …”
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Accurate Rainfall Prediction Using GNSS PWV Based on Pre-Trained Transformer Model by Wenjie Yin, Chen Zhou, Yuan Tian, Hui Qiu, Wei Zhang, Hua Chen, Pan Liu, Qile Zhao, Jian Kong, Yibin Yao

“…The evaluation results demonstrate satisfactory performance over other methods, with the fine-tuned model achieving an MSE = 3.954, DTW = 0.232, and TDI = 0.101. …”
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Deep Learning and Transformer Models for Groundwater Level Prediction in the Marvdasht Plain: Protecting UNESCO Heritage Sites—Persepolis and Naqsh-e Rustam by Peyman Heidarian, Franz Pablo Antezana Lopez, Yumin Tan, Somayeh Fathtabar Firozjaee, Tahmouras Yousefi, Habib Salehi, Ava Osman Pour, Maria Elena Oscori Marca, Guanhua Zhou, Ali Azhdari, Reza Shahbazi

“…This study presents an integrated remote sensing and transformer-based deep learning framework that combines diverse geospatial datasets to predict spatiotemporal variations across the plain near the Persepolis and Naqsh-e Rustam archaeological complexes—UNESCO World Heritage Sites situated at the plain’s edge. …”
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Toward Smart Condition Monitoring of Rotatory Machines: An Optimized Probabilistic Signal Reconstruction Methodology for Fault Prediction With Multisource Uncertainties by Xiaomo Jiang, Weijian Tang, Haixin Zhao, Xueyu Cheng

“…Three signal reconstruction methods, that is, Bayesian wavelet multiscale decomposition, probabilistic principal component analysis, and auto-associative kernel regression, were seamlessly integrated to address the noise, high dimensionality, and correlation in the sensed multivariate vibration data for accurate fault prediction. …”
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Using the fused graphical lasso to explore the motivational self-system after a multimedia self-regulated learning training: a brief research report by Sarah M. Wolff, Jonathan C. Hilpert, Matthew L. Bernacki, Matthew L. Bernacki, Jeffrey A. Greene, Christy Strong

“…This study provides preliminary evidence how Gaussian Graphical Modeling may be valuable in preserving the integrity of complex systems and examining relevant shifts in variations between motivational systems between groups and individuals.…”
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Fluorescence and Hyperspectral Sensors for Nondestructive Analysis and Prediction of Biophysical Compounds in the Green and Purple Leaves of <i>Tradescantia</i> Plants by Renan Falcioni, Roney Berti de Oliveira, Marcelo Luiz Chicati, Werner Camargos Antunes, José Alexandre M. Demattê, Marcos Rafael Nanni

“…These methods offer a good strategy for promoting sustainability in future agricultural practices across a broad range of plant species, supporting cell biology and material analyses.…”
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Plasma Metabolic Outliers Identified in Estonian Human Knockouts by Ketian Yu, Estonian Biobank Research Team, Karol Estrada, Tõnu Esko, Mart Kals, Tiit Nikopensius, Jaanika Kronberg, Urmo Võsa, Arthur Wuster, Lorenzo Bomba

“…<b>Background/Objectives:</b> Metabolomics, in combination with genetic data, is a powerful approach to study the biochemical consequences of genetic variation. We assessed the impact of human gene knockouts (KOs) on the metabolite levels of Estonia Biobank (EstBB) participants and integrated the results with electronic health record data. …”
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