Methodological development study: Dynamic mask attention graph neural network for mechanical ventilation in elderly intensive care unit patients by Yi Xie, Ni Xie, Jiao Guo

“…We propose a dynamic mask attention graph neural network (DymaGNN) to capture the time-varying relationship of key physiological variables by constructing a dynamic heterogeneous graph structure and an adaptive edge-weighting mechanism. …”
Get full text

Fast and Accurate Sperm Detection Algorithm for Micro-TESE in NOA Patients by Mahmoud Mohamed, Konosuke Kachi, Kohei Motoya, Masashi Ikeuchi

“…Conclusions: SD-CLIP simulates a domain-specific image interpretation model that identifies sperm morphology with high specificity. …”
Get full text

Biogeographic patterns of modern benthic shallow-water molluscs and the roles of temperature and palaeogeographic legacy by Thomas A. Neubauer, Serge Gofas, Mathias Harzhauser

“…Generalised additive models were applied to assess the relationship between taxon distribution and global sea-surface temperature. …”
Get full text

Heritage in Danger: Digital Conservation and a Reserve for the Future of the Benzú Rock Shelter and Cave (Ceuta, Spain) by Alejandro Muñoz-Muñoz, José Ramos-Muñoz, Eduardo Vijande-Vila, Juan Jesús Cantillo-Duarte, José Luis Ramírez-Amador, Salvador Domínguez-Bella, Serafín Becerra-Martín, Eduardo Molina-Piernas, Diego Fernández-Sánchez

“…These tools have enabled the creation of high-precision, three-dimensional models of the rock shelter and the cave, which are useful for both documentation and monitoring of their structural condition. …”
Get full text

Schizophrenia Detection and Classification: A Systematic Review of the Last Decade by Arghyasree Saha, Seungmin Park, Zong Woo Geem, Pawan Kumar Singh

“…Additionally, the analysis underscores common challenges, including dataset limitations, variability in preprocessing approaches, and the need for more interpretable models. Conclusions: This study provides a comprehensive evaluation of AI-based methods in SZ prognosis, emphasizing the strengths and limitations of current approaches. …”
Get full text

A lightweight triple-modal fusion network for progressive mild cognitive impairment prediction in Alzheimer's disease by Xiangyu Shen, Xiangyang Hu, Renfeng Zhang, Yunzhan Fu, Jiamin Xu, Degang Lyu, Hongbiao Xie, Hongbiao Xie, Deen Shi, Changsheng Shi, Lisi Li, Yuantong Gao

“…Although multimodal neuroimaging and clinical data provide complementary information, existing fusion models often face challenges such as high computational complexity and limited interpretability.MethodsTo address these limitations, we introduce TriLightNet, an innovative lightweight triple-modal fusion network designed to integrate structural MRI, functional PET, and clinical tabular data for predicting MCI-to-AD conversion. …”
Get full text

OPTISTACK: A Hybrid Ensemble Learning and XAI-Based Approach for Malware Detection in Compressed Files by Khaled Mahmud Sujon, Rohayanti Binti Hassan, M. Abdullah-Al-Wadud, Jia Uddin

“…Additionally, standalone machine learning models often suffer from limited generalizability and lack interpretability, hindering their real-world deployment in security-critical systems. …”
Get full text

Rift systems of the Russian Eastern Arctic shelf and Arctic deep water basins: link between geological history and geodynamics by A. M. Nikishin, E. I. Petrov, N. A. Malyshev, V. P. Ershova

“…The results of our study show that rift systems within the Laptev, the East Siberian and the Chukchi Seas were formed not earlier than Aptian. The geological structure of the Eurasian, Podvodnikov, Toll and Makarov Basins is described in this paper. …”
Get full text

Site Selection Analysis and Prediction of New Retail Stores from an Urban Commercial Space Perspective: A Case Study of Luckin Coffee and Starbucks in Shanghai by Zhengxu Zhao, Gang Chen, Jianshu Duan, Youheng Xu

“…This study not only focuses on commercial optimization but also offers theoretical and methodological insights by exploring how different retail models interact with urban spatial structures, thereby contributing to the fields of retail geography and spatial governance.…”
Get full text

SCIENTIFIC PARADIGM SHIFT AS THE BACKGROUND OF LANGUAGE EDUCATION by V. D. Tabanakova

“…Linguistic education takes up nearly the last position in the new model of the higher school dictated by economic interests. …”
Get full text

Environmental adaptations in metagenomes revealed by deep learning by Johanna C. Winder, Simon Poulton, Taoyang Wu, Thomas Mock, Cock van Oosterhout

“…In this study, we applied a transfer learning approach using the ESM-2 protein structure prediction model and our own smaller ANN to classify proteins containing the domain of unknown function 3494 (DUF3494) by their source environments. …”
Get full text

Uncovering the associations between health, socioeconomic and psychological resilience on subjective well-being during COVID-19 pandemic: A three-wave survey from the Democratic Re... by Gilbert Mubalama Mugisho, Lebon Hwali Masheka, Fabrice Nfuamba Lukeba

“…Descriptive statistics and Structural Equation Model were used to analyze the data. …”
Get full text

IMPLEMENTATION OF THE UKRAINIAN LANGUAGE EUPHONOMY RULES IN MODERN SCIENTIFIC LITERATURE OF THE HUMANITARIAN PROFILE by Zoriana Y. Kunch

“…The method of continuous selection is used in the work, as well as comparative, structural (descriptive) methods and prescriptive-descriptive analysis. …”
Get full text

Navigating the digital landscape: unraveling the interplay of challenge and hindrance components of technostress on employee voice behavior by Barnabás Buzás, Barnabás Buzás, Adél Csenge Simon, Adél Csenge Simon, Orhidea Edith Kiss, Klára Faragó

“…Additionally, structural equation models (SEM) were used to explore indirect effects and the moderating roles of psychological safety, intrinsic motivation, and affective commitment.ResultsOur findings reveal that technostress consists of challenge and hindrance components. …”
Get full text

A Review and Integrative Analysis of Ancient Holistic Character Medicine Systems by Søren Ventegodt, Suzette Thegler, Tove Andreasen, Flemming Struve, Susan Jacobsen, Margrethe Torp, Hans Ægedius, Lars Enevoldsen, Joav Merrick

“…We analyze the double concept of yin-yang, the Ayurvedic triadic concepts of Pitta, Kapha and Vata, the four elements of Hippocratic humoral medicine, and the five elements of Chinese medicine, and find that each of these conceptual frameworks make up a “theory” or model of the world that is a perfect wholeness, allowing the physician to interpret the world and his patient in order to identify the imbalances of his or her character that need to be treated. …”
Get full text

An NSCT-Based Multifrequency GPR Data-Fusion Method for Concealed Damage Detection by Junfang Wang, Xiangxiong Li, Huike Zeng, Jianfu Lin, Shiming Xue, Jing Wang, Yanfeng Zhou

“…Both shallow and deep hollow targets hidden in the simulated concrete structure, real tunnel model, and road are identified through one radargram obtained by fusing different radargrams. …”
Get full text

Prediction of Flexural Ultimate Capacity for Reinforced UHPC Beams Using Ensemble Learning and SHAP Method by Zhe Zhang, Xuemei Zhou, Ping Zhu, Zhaochao Li, Yichuan Wang

“…In this study, ensemble learning (EL) models are designed to enhance the accuracy and efficiency in predicting the flexural ultimate capacity of reinforced ultra-high-performance concrete (UHPC) beams with the aim of providing a more reliable and efficient design experience for structural applications. …”
Get full text

Advances in surface water and ocean topography for fine-scale eddy identification from altimeter sea surface height merging maps in the South China Sea by X. Zhang, X. Zhang, L. Liu, L. Liu, J. Fei, Z. Li, Z. Wei, Z. Zhang, X. Jiang, Z. Dong, F. Xu

Get full text

Enhanced multiscale human brain imaging by semi-supervised digital staining and serial sectioning optical coherence tomography by Shiyi Cheng, Shuaibin Chang, Yunzhe Li, Anna Novoseltseva, Sunni Lin, Yicun Wu, Jiahui Zhu, Ann C. McKee, Douglas L. Rosene, Hui Wang, Irving J. Bigio, David A. Boas, Lei Tian

“…Here, we present a novel 3D imaging framework that combines S-OCT with a deep-learning digital staining (DS) model. This enhanced imaging modality integrates high-throughput 3D imaging, low sample variability and high interpretability, making it suitable for 3D histology studies. …”
Get full text

Oceanic states of consciousness—an existential-neuroscience perspective by Human-Friedrich Unterrainer, Human-Friedrich Unterrainer, Human-Friedrich Unterrainer, Human-Friedrich Unterrainer

“…The Peri-Aqueductal Gray (PAG), a midbrain structure associated with affect regulation and spiritual experience, emerges as a key neural hub linking primal affective states with mystical awareness. …”
Get full text