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. …”
Get full text

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.…”
Get full text

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. …”
Get full text

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

“…We test the hypothesis that it begins in utero, when the brain starts to gyrify and folding patterns first become established. Methods: We carried out a prospective, longitudinal case-control study, acquiring foetal MRIs at two timepoints in utero, (Scan 1 = 20–30 Gestational Weeks (GW) and Scan 2 = 30–39 GW), then followed up participants at two years of age to assess neurodevelopmental outcomes. …”
Get full text

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

“…FTIR spectroscopy revealed differences in bands and patterns between control film (GCWF) and washed films (GCWF Alc and GCWF W). …”
Get full text

Hybrid Graph Representation and Learning Framework for High-Level Synthesis Design Space Exploration by Pouya Taghipour, Eric Granger, Yves Blaquiere

“…Indeed, modeling HLS-related problems using GNNs that efficiently capture the complex patterns arising from applied pragmas and low-level characteristics of HLS specifications is challenging. …”
Get full text

Diagnostic imaging modalities in the study of hepatic alveolar echinococcosis: A review of literature by Iliar Baudinov, Aliya Kadyrova, Kubat Ibraimov, Prabha K C, Bakhadyr Bebezov, Sezdbek Aitbaev, Tilek Umetaliev, Kursanbek Raimkulov

Get full text

Urban-Rural Differentiation in Serbia Beyond the Women’s Role in the Local Labor Force by Drobnjaković Marija, Panić Milena

“…Differentiation between rural and urban areas in Serbia is a disputable issue, usually based on the most commonly used indicators which do not reflect the functional and social local features. This research starts from the hypothesis that labor market gender inequality is strongly correlated with urban-rural dichotomy and patriarchal patterns on women's position. …”
Get full text

Multimodal data integration for biologically-relevant artificial intelligence to guide adjuvant chemotherapy in stage II colorectal cancerResearch in context by Chenyi Xie, Ziyu Ning, Ting Guo, Lisha Yao, Xiaobo Chen, Wanghong Huang, Suyun Li, Jiahui Chen, Ke Zhao, Xiuwu Bian, Zhenhui Li, Yanqi Huang, Changhong Liang, Qingling Zhang, Zaiyi Liu

“…Finally, we investigated the discovered morphological patterns of mouse models to observe imaging features. …”
Get full text

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. …”
Get full text

Comparison of Non-Water Proof Mascara Adhesion on the Surface of Different Two-week Frequent Replacement Silicone Hydrogel Contact Lenses by Mimura T, Nakagomi R

“…Non-waterproof mascara was randomly applied in a cross-pattern on the SiHySCL surface using the Latin squares method. …”
Get full text

Disaster Resilience Evaluation of Mountainous Rural Communities: A Case Study of Representative Villages in the Anning River Basin, Liangshan Prefecture by Wu Yuanfei, Liu Mengying, Tian Bingwei, Tian Renjie, Hu Yifan

“…The study validates the applicability of the PSR model in mountainous rural contexts, highlighting a "state resilience dominance with response capacity gaps" pattern. Notably, communities with higher state resilience demonstrate stronger recovery capabilities despite elevated hazard pressures, underscoring the importance of robust infrastructure and social cohesion. …”
Get full text

Multiscale Contextual Mamba: Advancing Psychiatric Disorder Detection across Multisite Functional Magnetic Resonance Imaging Datasets via State Space Modeling by Shusheng Li, Yang Bo, Yuchu Chen, Jianfeng Cao, Bo Bi, Ting Ma, Chenfei Ye

“…However, existing methods often struggle to capture the long-term dependencies and dynamic patterns inherent in such data, particularly across diverse imaging sites. …”
Get full text

Research on Oil and Gas-Bearing Zone Prediction and Identification Based on the SVD–K-Means Algorithm—A Case Study of the WZ6-1 Oil-Bearing Structure in the Beibu Gulf Basin, South... by Zhilong Chen, Renyi Wang, Biao Xu, Jianghang Zhu

“…The WZ6-1 oil-bearing structure in the Beibu Gulf Basin of the South China Sea has well-developed faults with significant variations in fault sealing capacity, resulting in a complex and highly variable distribution of oil, gas, and water, and limited understanding of hydrocarbon accumulation patterns. …”
Get full text

Effects of Reduced Frequency on the Aerodynamic Characteristics of a Pitching Airfoil at Moderate Reynolds Numbers by Teng Zhou, Huijing Cao, Ben Zhao

“…As the pitching frequency increases, the maximum lift coefficient achieved in one pitching cycle decreases, and the direction of the lift hysteresis loop changes as the pitching frequency exceeds a certain value, leading to a change in the lift of the sign at the zero-incidence moment, which is a result of the instantaneous flow patterns on the airfoil surface. As the pitching frequency increases, flow unsteadiness develops less in one pitching cycle, and the time duration in which the turbulence boundary layer can be detected in one pitching cycle shrinks. …”
Get full text

The Xenopyricularia zizaniicola exhibits a genome architecture distinct to the two-speed genome by Zhenyu Fang, Yuyong Li, Jianqiang Huang, Jianhong Wang, Xiwen Lian, Shuhui Lin, Zonghua Wang, Yongsheng Zhu, Huakun Zheng

“…We provide evidence that the distribution pattern of pathogenicity-associated genes in X. zizaniicola strain JB-1 closely resembles the “one-speed genome” structure, which contrasts with Pyricularia oryzae. …”
Get full text

An artificial intelligence approach to palaeogeographic studies: a case study of the Late Ordovician brachiopods of Laurentia by Akbar Sohrabi

“…Artificial intelligence has the ability to learn from any pattern between a set of input and output data and involves various techniques including neural networks. …”
Get full text

Modelling desert dune fields based on discrete dynamics by Steven R. Bishop, Hiroshi Momiji, Ricardo Carretero-González, Andrew Warren

“…When assessing the success of such a model in capturing physical features we monitor morphology, dune growth, dune migration and spatial patterns within a dune field. …”
Get full text

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 BibDL model leverages the complementary strengths of these data sources: remote sensing provides spatial and structural information, while POI data offers insights into human activities and land use patterns. Experimental results demonstrate that the BibDL model significantly outperforms a baseline model trained only on imagery, achieving higher F1 scores of 0.975 and Kappa coefficients of 0.953 across multiple UFZ categories. …”
Get full text

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

Get full text