An optimized multi-task contrastive learning framework for HIFU lesion detection and segmentation by Matineh Zavar, Hamid Reza Ghaffari, Hamid Tabatabaee

“…Abstract Accurate detection and segmentation of lesions induced by High-Intensity Focused Ultrasound (HIFU) in medical imaging remain significant challenges in automated disease diagnosis. Traditional methods heavily rely on labeled data, which is often scarce, expensive, and time-consuming to obtain. …”
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Natural restoration of forests after a fire in the Amankaragay Forest Massif of the Kostanay Region, Republic of Kazakhstan by Altyn Zhanguzhina, Zhanar Ozgeldinova, Zhandos Mukayev, Meruert Ulykpanova, Perizat Zhanuzakova

“…The forest landscapes of the Kostanay Region are subject to pyrogenic impacts of both natural and anthropogenic origin, leading to changes in the phytocenosis of ecosystems. The study integrates field research findings with re-mote sensing data and methods (dNBR, NBR, NDVI) to assess post-fire conditions and forest regeneration in the Kostanay Region through the comparison of three sample plots. …”
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Aboveground Forest Biomass Estimation with Landsat and LiDAR Data and Uncertainty Analysis of the Estimates by Dengsheng Lu, Qi Chen, Guangxing Wang, Emilio Moran, Mateus Batistella, Maozhen Zhang, Gaia Vaglio Laurin, David Saah

“…This paper provides a brief overview of current forest biomass estimation methods using both TM and LiDAR data. A case study is then presented that demonstrates the forest biomass estimation methods and uncertainty analysis. …”
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Monsoon Forcing on Precipitation Stable Isotopes in the Yarlung Tsangpo Grand Canyon: Evidence from Indian Summer Monsoon Dynamics by WANG Zhongyu, QI Jihong, XU Mo, LI Xiao, YI Lei, LIANG Jingyan, TAN Yao

“…This expanded investigation proves pivotal for advancing comprehension of the nuanced interactions between topography and meteorological phenomena, shedding light on the complex mechanisms influencing isotopic variations in precipitation and refining insights into broader climatic processes in the studied area.MethodsThe data source for this study included atmospheric precipitation and surface water samples collected through field surveys. …”
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Text-Enhanced Graph Attention Hashing for Cross-Modal Retrieval by Qiang Zou, Shuli Cheng, Anyu Du, Jiayi Chen

“…However, existing supervised methods often overlook noisy labels and multiscale features in different modal datasets, leading to higher information entropy in the generated hash codes and features, which reduces retrieval performance. …”
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Re-imagining education rights: Inclusive framework for neurodivergent learners in South Africa by Maitumeleng A. Nthontho, Shantha Naidoo

“…Setting: A review of journal articles (2020–2025) provided insights into definitions of neurodiversity, its educational significance and South African legislative recognition. Methods: The study employs an integrative review approach, synthesising qualitative and quantitative data to address key questions about inclusive education. …”
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MetS‐Z: A gender‐ and age‐specific scoring system for predicting type 2 diabetes by Paul Wei‐Che Hsu, Yi‐Rong Chen, Wayne Huey‐Herng Sheu

“…Results The mets‐Z score achieved superior accuracy in predicting type 2 diabetes mellitus onset, with an AUC of 0.76 in men and 0.80 in women, significantly outperforming conventional indices (P < 0.0001). Conclusions By integrating age‐ and gender‐specific variations, the mets‐Z score provides a more personalized and precise tool for assessing metabolic and diabetes risk, surpassing existing methods. …”
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Vehicle Localization in IoV Environments: A Vision-LSTM Approach with Synthetic Data Simulation by Yi Liu, Jiade Jiang, Zijian Tian

“…Traditional deep learning-based localization methods face persistent challenges in real-world vehicular environments, including occlusion, lighting variations, and the prohibitive cost of collecting diverse real-world datasets. …”
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Frequency–Spatial–Temporal Domain Fusion Network for Remote Sensing Image Change Captioning by Shiwei Zou, Yingmei Wei, Yuxiang Xie, Xidao Luan

“…While demonstrating significant potential for urban planning, agricultural surveillance, and disaster management, current RSICC methods exhibit two fundamental limitations: (1) vulnerability to pseudo-changes induced by illumination fluctuations and seasonal transitions and (2) an overemphasis on spatial variations with insufficient modeling of temporal dependencies in multi-temporal contexts. …”
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Antibiotic resistance genes in rural public places mirror the pattern of clinical antibiotic resistance prevalence by Dhammika Leshan Wannigama, Shuichi Abe, Cameron Hurst, Yu Suzuki, Kazunori Moriya, Yoshikazu Okuma, Ayaka Tateno, Paul G. Higgins, Mohan Amarasiri

“…AIM AND BACKGROUND: The World Health Organization's global action plan on antimicrobial resistance emphasizes the importance of integrated antibiotic resistance (AR) surveillance. …”
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Design and simulation of reduced switch converter based solar PV and energy storage fed shunt active power filter with butterfly optimization by Koganti Srilakshmi, Sravanthy Gaddameedhi, Alapati Ramadevi, Praveen Kumar Balachandran, J. Ganesh Prasad Reddy, Ramprasad Vangalapudi

“…However, this THD values are lower when compared to other methods, in addition DC bus voltage is achieved within a short settling time of 0.02 s.…”
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Numerical Analysis of AlGaAs/InGaAs/GaAs pHEMT by A. V. Sapozhnikov, I. S. Pushnitsa, A. L. Dudin, V. V. Perepelovskiy

“…In most technological processes, the parameters of transistors may exhibit variations in values. As a result, integrated circuit (IC) parameters may spread beyond the nominal values stated in the technological specification. …”
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Diversity and antibiotic resistance of cultivable bacteria in bulk tank milk from dairy farms in Shandong Province, China by Yijian Qi, Zhiyuan Lu, Ziru Meng, Xiaozhou Wang, Huahua Chen, Muzi Li, Chaonan Qu, Pu Zhang, Yongxia Liu, Jianzhu Liu

“…IntroductionThis study systematically analyzed bacterial diversity and antimicrobial resistance (AMR) profiles in bulk tank milk from five dairy farms (n = 30) in Shandong Province, China, to assess public health risks associated with microbial contamination and provide critical data for regional quality control and AMR risk assessment in dairy production systems.MethodsTotal bacterial counts were quantified, revealing significant inter-farm variation (P &lt; 0.05) with a range of 3.94–6.68 log CFU/mL. …”
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Coli bond: A dual-function encryption system for secure information storage and transmission by microorganisms. by Xuefeng Xiao, Yunuo Song, Jingxuan Hu, Jinchen Han, Wanbin Xing, Chang Liu

“…With global data expected to reach 175 zettabytes by 2025, traditional storage methods face unprecedented challenges, including security risks, limited durability, and high maintenance costs associated with centralized infrastructure. …”
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Investigating the role of tumor cell heterogeneity and angiogenesis genes in the prognosis of multiple myeloma by Xue Qiao, Zhengrong Song, Li Geng, Lina Xing, Ying Wang

“…The data were processed and analyzed using bioinformatics methods, including differential gene expression analysis, single-cell clustering, CNV analysis, transcription factor analysis, screening of angiogenesis-related genes, cell communication analysis, and immune infiltration analysis.ResultsThrough integrative analysis of transcriptomic data and single-cell RNA sequencing data, we identified significant genomic copy number variations in the tumor cells of MM patients. …”
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Measurement and evaluation of pesticide residue risk in vegetables: evidence from China by Taiping Li, Xiaoshan Jiang, Menghui Qiu

“…A scientific evaluation of their risk status not only enhances information transparency but also provides a precise foundation for food safety regulation.MethodsThis study devised a vegetable pesticide residue risk index by integrating the probability of residue detection and the extent of associated harm, utilizing 294,703 monitored sampling data across 30 provinces from 2021 to 2023 to methodically assess and quantify the risk of vegetable pesticide residues in China.ResultsOut of 52 vegetable types analyzed, 33 had pesticide residue levels that surpassed the permissible limits, with leeks and celery registering the highest risk indices. …”
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ESTIMATES OF RELATIONSHIP BETWEEN THE DYNAMICS OF GEOPHYSICAL PARAMETERS AND THE STRESS-STRAIN STATE OF GEOENVIRONMENT by V. D. Bragin, L. G. Sverdlik

“…LOTEM is considered to be one of the most informative methods for obtaining data on multilayered conductive anisotropic geologic environment. …”
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Automated activity-based costing for large tractor fleets: A scalable CANBUS framework for farm economics by Massimiliano Varani, Giovanni Molari, Gianvito Annesi, Michele Mattetti

“…Accurate cost estimation of machinery operations is particularly critical in large-scale farming, where machinery represents a substantial portion of operational expenses. Traditional costing methods often rely on assumptions, leading to inefficiencies. …”
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Automated non-destructive phenotyping of Camellia oleifera seedlings based on 3D point clouds by Yang Zhou, Yongbin Wang, Wei Long, Tonggui Wu

“…In each iteration, independent morphological analysis and skeletonization were conducted on a specific region, thereby enhancing the traditional clustering algorithm's sensitivity to local morphological feature variations. By extracting only the main stem or specific branches in each iteration, the integrity of the overall segmentation result was maintained, enabling the transition from canopy segmentation to precise stem-leaf segmentation. …”
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AquaFlowNet a machine learning based framework for real time wastewater flow management and optimization by P. Prabu, Ala Saleh Alluhaidan, Romana Aziz, Shakila Basheer

“…Wastewater management systems require innovative methods for dynamic and efficient flow control to meet growing demands driven by urbanization, climate change, and increasingly stringent regulations. …”
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