MSDCA: A Multi-Scale Dual-Branch Network with Enhanced Cross-Attention for Hyperspectral Image Classification by Ning Jiang, Shengling Geng, Yuhui Zheng, Le Sun

“…First, a multiscale 3D spatial–spectral feature extraction module (3D-SSF) employs parallel 3D convolutional branches with diverse kernel sizes and dilation rates, enabling hierarchical modeling of spatial–spectral representations from large-scale patches and effectively capturing both fine-grained textures and global context. …”
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Non-selective waterbird hunting in a Natura 2000 site results in killing of protected species: A case study from western Poland by Dominik Marchowski, Robert Jurszo, Paweł Stańczak, Michał Jasiński, Sebastian Guentzel

“…For nearly all species, harvest rates exceeded the sustainable thresholds defined by BirdLife International. …”
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Spatial Downscaling of TRMM Precipitation Data Using an Optimal Subset Regression Model with NDVI and Terrain Factors in the Yarlung Zangbo River Basin, China by Jinping Liu, Wanchang Zhang, Ning Nie

“…Moreover, the spatial patterns of both precipitation rates of change and their corresponding p value statistics were consistent between the downscaled results and the original TRMM 3B43 during the 2001–2014 period, which verifies that the downscaling method performed well in the Yarlung Zangbo River Basin. …”
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Mental Health in Croatian Competing Adolescent Athletes: Insights from the SMHAT-1 Questionnaire by Katarina Sore, Frane Franic, Luka Androja, Ivana Batarelo Kokic, Darko Marcinko, Stipe Drmic, Valentin Zdravko Markser, Tomislav Franic

“…Understanding gender-specific patterns is crucial for targeted interventions. A cross-sectional study involved 674 Croatian athletes (418 men, 256 women) aged 16–24 years from 43 sports. …”
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Surveillance of healthcare acquired infections in hospital and community: a retrospective study in Local Healthcare Organization of Rovigo by Francesca Ronzani, Marino Scarin, Marco Brusaferro, Antonia Intenti, Raffaela Marchetto, Michela Boldrin, Silvia Pierotti, Adriano Marcolongo

“…This study was conducted to detect antimicrobial susceptibility patterns in order to inform treatment choices and generate hospital-wide baseline data.…”
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New Programming Modes of Spinal Cord Stimulation for Chronic Pain: A Systematic Review of Outcomes with Burst and High-Frequency Technology by Jeffrey J. Bergman, Derrick A. Dupré, Nestor D. Tomycz

“…Recent developments in novel programming modes, such as high-frequency 10 kHz (HF10) and burst, stray from tonic SCS in their electrical stimulation delivery patterns and unique ability to deliver SCS without engendering paresthesias. …”
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Spatiotemporal evolution and multi-scenario simulation of the land-use cover change and habitat quality in arid and semi-arid areas: a case study of the urban agglomeration along t... by Tianle Ma, Wenhao Cheng, Wenxuan Yao

“…Habitat quality (HQ) is recognized as a significant factor in biodiversity maintenance and ecological conservation advancement, and the land-use cover change (LUCC) can directly affect the spatial pattern and evolution of HQ. Land-use datasets spanning 2010, 2015, and 2020 were analyzed through the integrated application of the future land-use simulation (FLUS) model and the integrated valuation of ecosystem services and trade-offs (InVEST) model, supplemented by multiple analytical indicators, resulting in LUCC patterns and HQ variations being investigated within the urban agglomeration along the Yellow River in Ningxia, China. …”
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Identifying risk factors and evaluating therapeutic interventions for anastomotic recurrence in postoperative esophageal squamous cell carcinoma by Tiantian Cui, Huajian Chen, Min Fan, Wei Huang, Xiaodong Liu

“…Abstract Purpose This investigation delineates the differential impact of recurrence patterns—specifically, anastomotic recurrence (AR) and lymph node recurrence (LNR)—on the survival outcomes of patients with esophageal squamous cell carcinoma (ESCC). …”
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Antimicrobial Resistance and Associated Risk Factors for Clostridium difficile in Patients Attending Tertiary Care Settings by Murad A. Mubaraki, Mubbashir Hussain, Faaiz Ul Hassan, Shahzad Munir, Fozia Fozia, Ijaz Ahmad, Fatima Bibi, Samia Sultan, Ziaullah Zialluh

“…The highest resistance rates were found against penicillin (83.3%) followed by amoxicillin (70%), nalidixic acid (61%), and metronidazole (38%), and the lowest resistance was found against vancomycin (6.4%) and imipenem (3.7%). …”
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Evaluation of a BCC-CPSv3-S2Sv2 Model for the Monthly Prediction of Summer Extreme Precipitation in the Yellow River Basin by Zhe Li, Zhongyuan Xia, Jiaying Ke

“…The performance of monthly prediction of extreme precipitation from the BCC-CPSv3-S2Sv2 model over the Yellow River Basin (YRB) using historical hindcast data from 2008 to 2022 was evaluated in this study, mainly from three aspects: overall performance in predicting daily precipitation rates, systematic biases, and monthly prediction of extreme precipitation metrics. …”
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A novel approach in diagnosing knee osteoarthritis for content based image retrieval in big data analytics and medical images by Pinar Gundogan Bozdag, Hurşit Burak Mutlu, Mucahit Karaduman, Muhammed Yildirim, M. Attique Khan, Shrooq Alsenan, Jamel Baili, Yunyoung Nam

“…Current deep learning architectures published in the literature struggle to achieve comparable success rates in distinguishing between closely related but distinct disease groups. …”
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Acclimation of Ecophysiological and Agronomic Traits to Increasing Growth Temperature in Three Cowpea Genotypes Grown in Anuradhapura, Sri Lanka by Imanthi Wijayaraja, Malika Piyarathne, Thilakshi Alahakoon, Udeni Devasinghe, Lasantha Weerasinghe, Dushan Kumarathunge, Dharmasiri Dissanayake, Chaminda Egodawatta, Nalaka Geekiyanage

“…More work is proposed to examine the patterns of biomass partitioning and radiation use efficiency in three cowpea genotypes at elevated temperatures.…”
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A framework for continual learning in real-time traffic forecasting utilizing spatial–temporal graph convolutional recurrent networks by Mariam Labib Francies, Abeer Twakol Khalil, Hanan M. Amer, Mohamed Maher Ata

“…This approach improves the efficiency of the Continual Learning (CL) process by enabling the model to adapt to new traffic patterns more effectively over time. Extensive experiments conducted on the PeMSD3, PeMSD4, PeMSD7, and PeMSD8 datasets reveal the superiority of the proposed models, STGCN-EWC, STGCN-MAS, and STGCN-SI models achieve significant reductions in error rates compared to baseline methodologies. …”
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Effectiveness of intradialytic muscle stretching exercise onmuscle cramps among patients undergoing maintenance hemodialysis in Oman - A randomized controlled trial by Iman Al Rahbi, Eilean Rathinasamy Lazarus, Omar AlZaabi, Huda Al-Noumani

“…This low-risk, cost-effective method has the potential to improve patient care, reduce symptoms, hospitalization rates, and enhance physical and mental performance. …”
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Geochemical modeling of CO2 emissions from volcanic soil microseepage: implications for greenhouse gas budget by Xianzhe Duan, Haoran Sun, Nan Li, Jiale Dou

“…Our results provide important insights as follows: (1) Low porosity in subsurface strata inhibits CO2 penetration, while well-developed underground cracks and channels enhance release rates. (2) Favorable gas pathways enable CO2 to penetrate dense layers, and migrate upward, with migration patterns influenced by gas source pressure, temperature, and soil permeability. …”
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Navigating Energy Efficiency and Mould Risk in Australian Low-Rise Homes: A Comparative Analysis of Nine External Wall Systems in Southeast Australia by Liqun Guan, Mark Dewsbury, Louise Wallis, Hartwig Kuenzel

“…More than 8000 hygrothermal and bio-hygrothermal simulations were completed to evaluate seasonal moisture patterns and calculate mould growth potential for nine typical external wall systems. …”
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Estimation of Relative Sea Level Change in Locations Without Tide Gauges Using Artificial Neural Networks by Heeryun Kim, Young Il Park, Wansik Ko, Taehyun Yoon, Jeong-Hwan Kim

“…Unlike conventional forecasting approaches focused on future time series prediction, the proposed model is designed to learn spatial distribution patterns and temporal rates of sea level change from a fusion of satellite altimetry and tide gauge data. …”
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Types of the left ventricle geometry and changes in functional parameters of the heart in patients with atrial fibrillation by V. V. Syvolap, A. O. Bohun

“…The prevalence of AF increased according to the geometric patterns of the left ventricular remodeling with the highest rates in the groups of eccentric and concentric hypertrophy, which were also associated with worse indicators of systolic, diastolic, and valve functions. …”
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Cholera-Related Hypochondriasis and Sleep Effort Among Lebanese General Population by Atifa Nazih Kamaleddine, Sondos Mohamad Naous, Sana Ahmad Tantawi, Lama Ali Alhajj, Nafez Nazih Kamaleddine, Sung Woo Joo, Seockhoon Chung

“…All 472 participants completed the e-survey, including rating scales adapted to assess psychological response to cholera: Stress and Anxiety to Viral Epidemic-6 items (SAVE-6), Obsession with COVID-19 scale (OCS), Coronavirus Reassurance-Seeking Behaviors Scale (CRBS), Insomnia Severity Index, Glasgow Sleep Effort Scale, and Patient Health Questionnaire-9 items. …”
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Assessment of Tourism Development in Belarus: A Comprehensive Analysis of Infrastructure, Cultural Heritage and Natural Resources by Viktoryia Kauchun, Anna Michalska, Walery Zukow

“…Results: The findings indicate moderate tourism development in Belarus (39% rated it as average, 42% as high). Infrastructure quality shows significant regional variation (χ2(4)=31.50, p<0.001, V=0.56). …”
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