MACHINE LEARNING TECHNIQUES FOR RETINOPATHY DETECTION IN DIABETIC PATIENTS by Ajay Kushwaha, Ahankari Sachin Suresh, Chennoju Phanindra, Anil Kumar Sahu, Devanand Bhonsle, Yamini Chouhan

“…The core technology involves deep learning algorithms, particularly Convolutional Neural Networks (CNNs), which are designed to identify complex patterns and features within retinal images. These algorithms are trained on extensive datasets of retinal images, allowing them to learn the subtle signs of diabetic retinopathy, such as microaneurysms, hemorrhages, and other vascular anomalies.…”
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Revealing heterogeneity in mild cognitive impairment based on individualized structural covariance network by Xiaotong Wei, Ronglong Xiong, Ping Xu, Tingting Zhang, Junjun Zhang, Zhenlan Jin, Ling Li

“…Significant differences between two subtypes were found in clinical cognition and biomarkers, cerebral atrophy patterns, and enriched genes for metal ion transport and neuron projection development. …”
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Association between age and lung cancer risk: evidence from lung lobar radiomics by Yuwei Li, Chengting Lin, Lei Cui, Chao Huang, Liting Shi, Shiyang Huang, Yue Yu, Xianglan Zhou, Qian Zhou, Kun Chen, Lei Shi

“…This study aims to characterize lung aging using quantitative radiomic features extracted from five delineated lung lobes and explore how age contributes to lung cancer development through these features. …”
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Hybrid Graph Representation and Learning Framework for High-Level Synthesis Design Space Exploration by Pouya Taghipour, Eric Granger, Yves Blaquiere

“…This paper introduces a novel hybrid graph representation and learning framework under a multi-task setting, featuring two distinct types of CDFGs derived from two different sources. …”
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Foetal cortical expansion is associated with neurodevelopmental outcome at 2-years in congenital heart disease: a longitudinal follow-up studyResearch in context by Siân Wilson, Hyuk Jin Yun, Anjali Sadhwani, Henry A. Feldman, Seungyoon Jeong, Nicholas Hart, Kaysi Herrera Pujols, Jane W. Newburger, P. Ellen Grant, Caitlin K. Rollins, Kiho Im

“…Findings: Differences in cortical development between CHD and Control foetuses only emerged after 30 GW, and lower regional cortical surface area growth was correlated with poorer neurodevelopmental outcomes at two years of age in the CHD group. …”
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Assessment and Application of Multi-Source Precipitation Products in Cold Regions Based on the Improved SWAT Model by Zhaoqi Tang, Yi Wang, Wen Chen

“…This is specifically reflected in the rationality of the spatial and temporal distribution patterns of the inverted precipitation, the accuracy observed in capturing precipitation events and actual precipitation characteristics, the goodness of fit in driving hydrological models, and the observed precision in reflecting the composition of watershed runoff, all of which are superior to those pertaining to other precipitation products. (3) The glacier melt calculated using the improved SWAT model informed by CMA V2.0 shows that during the study period, the basin formed a pattern with a positive–negative glacier balance demarcation at 36.5° N, featuring melting at higher latitudes and accumulation at lower latitudes. …”
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Discursive and methodological aspects of the study of the Kazakh Khanate in Turkish historiography by Aiman Azmukhanova, Mirzahan Egamberdiyev

“…Discourse analysis helps identify narrative features, rhetoric, and key concepts employed by Turkish historians. …”
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Visualizing melody with multiple acoustic and tagging values using the visualization module of the Oralstats tool by Adrián Cabedo Nebot

“… This paper presents a way to visualize pitch patterns combiningmacoustic features (F0, intensity or duration) with other variables, like a basic notation on ToBI (Tone and Break Indices) or the projection of acoustic transformations, following MAS (Melodic Analysis of Speech) model. …”
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Machine learning aids in the discovery of efficient corrosion inhibitor molecules by Haiyan GONG, Lingwei MA, Dawei ZHANG

“…Specifically, ML models can extract key information and construct predictive models through feature extraction and pattern recognition using existing data. …”
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Positive Psychotherapy in action: the “DYNAMICS” method for formulating basic conflicts by Ali Eryilmaz

“…The conflicts between the concepts developed by the clients form the basis of the basic conflict. …”
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Supply-Demand Matching Evaluation and Coupling Coordination of Cultural Ecosystem Services in Urban Park Green Spaces by Yang YU, Xian YANG, Xiang LI, Liyuan QIAN, Sixiang ZHOU

“…Meanwhile, the comprehensive demand level for CES displays an aggregated cluster distribution pattern, where high-demand zones are located in the central and southern part of the main urban area with high population density, strong human activity, intensive urban development, and well-developed facilities, while low-demand zones are found in the less densely populated and developed northeastern part. …”
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Disease burden of biliary tract cancer in 204 countries and territories, 1990–2021: A comprehensive demographic analysis of the Global Burden of Disease Study 2021 by Xuheng Sun, Jiangmei Liu, Wei Zhang, Yijun Wang, Yan Jiang, Lijun Wang, Yixin Zou, Yuxuan Xiao, Yongbing Xiang, Maolan Li, Maigeng Zhou, Yingbin Liu, Sihan Zhou, Xiuyuan Hao

“…We sought to explore the up-to-date data from the Global Burden of Disease Study (GBD) and expand findings by accessing the demographic features of BTC disease burden. Methods:. Using the latest data from the GBD 2021, we evaluated and analyzed the distributions and patterns of BTC disease burden in various age groups, sexes, regions, and countries. …”
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Atypical hierarchical brain connectivity in autism: Insights from stepwise causal analysis using Liang information flow by Shan Sun, Fei Wang, Fen Xu, Yufeng Deng, Jiwang Ma, Kai Chen, Sheng Guo, X. San Liang, Tao Zhang

“…These disruptions were detected at multiple hierarchical levels, indicating changes in communication patterns across brain regions. By leveraging features of hierarchical causal connectivity, we achieved high classification accuracy between ASD and healthy individuals. …”
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Properties of novel biodegradable film from gelatin capsule waste as influenced by various solvents and washing cycles by Pudthaya Kumnerdsiri, Sasina Sanprasert, Anusorn Seubsai, Jaksuma Pongsetkul, Nathdanai Harnkarnsujarit, Saroat Rawdkuen, Samart Sai-ut, Suphat Phongthai, Piyangkun Lueangjaroenkit, Ekasit Onsaard, Ali Muhammed Moula Ali, Thomas Karbowiak, Wanli Zhang, Passakorn Kingwascharapong

“…Biodegradable films, featuring eco-friendly attributes, offer a promising solution to environmental pollution and ecological challenges, serving as a viable alternative to synthetic polymer packaging films. …”
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Exploring voluntary sector specialist services for victim-survivors of sexual violence in England: the PROSPER co-production study by Caroline Bradbury-Jones, Sarah Damery, Kirsten Fruin, Clare Gunby, Jenny Harlock, Lucy Hebberts, Louise Isham, Anne-Marie Jones, Fay Maxted, Amelia Mighty, Priti Parmar, Laura Patterson, Jason Schaub, Fee Scott, Harriet Smailes, Debs Smith, Julie Taylor

“…Core implications for research The model that we have developed from the PROSPER findings will require development and testing to assess its usefulness as a resource for training and education in the VSS sector. …”
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Economic-mathematical model for predicting financial market dynamics by Artur R. Musin

“…The main study purpose is developing a predictive economic-mathematical model that allows combining both approaches. …”
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Dependence on ultra-high doses of gabapentinoids: A case series by Arun Bansal, Bhavneesh Saini, Harman Rai, Jaskanwar S. Dhillon, Priyanka Bansal, Sumit Saini

“…Presenting patterns included use for euphoria, self-medication, and anxiety relief. …”
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Bi-branch Neural Network for Urban Functional Zone Mapping: Combining Remote Sensing Imagery and Point-of-Interest Data by L. Ying, X. Chen, X. Chen, X. Chen, X. Chen, J. Zhao, Y. Zhang, H. Sun, W. Tu, W. Tu, W. Tu, W. Tu

“…The findings suggest that combining remote sensing imagery with contextual POI density image offers a powerful framework for more precise, context-aware UFZ classification, with implications for urban planning, smart city development, and sustainable resource management.…”
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Synchrotron-based X-ray 3D phase contrast imaging and analysis of transmural myocardial tissue from heart failure patients by Nikola Skreb, Filip Loncaric, Kan Yan Chloe Li, Anne Bonnin, Hector Dejea, Patricia Garcia-Canadilla, Ivana Ilic, Hrvoje Gasparovic, Davor Milicic, Bart Bijnens, Andrew C. Cook, Ivo Planinc, Maja Cikes

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A Noise-Robust Deep-Learning Framework for Weld-Defect Detection in Magnetic Flux Leakage Systems by Junlin Yang, Senxiang Lu

“…To address the above challenges, this paper introduces a novel noise-robust deep-learning framework to remove the noise component in the original signal and learn its noise-invariant feature representation. This can handle the unseen noise pattern and mitigate the impact of dynamic noises on MFL inspection systems. …”
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