A multi-modal dataset of electroencephalography and functional near-infrared spectroscopy recordings for motor imagery of multi-types of joints from unilateral upper limb by Weibo Yi, Jiaming Chen, Dan Wang, Xinkang Hu, Meng Xu, Fangda Li, Shuhan Wu, Jin Qian

“…Abstract As one of the important brain-computer interface (BCI) paradigms, motor imagery (MI) enables the control of external devices via identification of motor intention by decoding the features of Electroencephalography (EEG). Movement imagination of multi-types of joints from the same limb allows the development of more accurate and intuitive BCI systems. …”
Get full text

Deep learning model for diagnosis of thyroid nodules with size less than 1 cm: A multicenter, retrospective study by Na Feng, Shanshan Zhao, Kai Wang, Peizhe Chen, Yunpeng Wang, Yuan Gao, Zhengping Wang, Yidan Lu, Chen Chen, Jincao Yao, Zhikai Lei, Dong Xu

“…Results: TNT-Net achieved an area under the curve (AUC) of 0.953 (95 % confidence interval (CI): 0.934, 0.969) on the internal test set and 0.941 (95 % CI: 0.921, 0.957) on the external test set, significantly outperforming traditional deep convolutional neural network models and single-channel swin transformer model, whose AUCs ranged from 0.800 (95 % CI: 0.759, 0.837) to 0.856 (95 % CI: 0.819, 0.881). Furthermore, feature heatmap visualization showed that TNT-Net could extract richer and more energetic malignant nodule patterns. …”
Get full text

Technology of decision-making in process management of the non-productive sphere by O. M. Kulikova

“…The article describes author's technology of acceptance of administrative decisions in process management in non-production sphere that contains two algorithms: the algorithm of detecting patterns and forecasting, algorithm development management decisions in the form of options. …”
Get full text

Predicting Cardiovascular Aging Risk Based on Clinical Data Through the Integration of Mathematical Modeling and Machine Learning by Kuat Abzaliyev, Madina Suleimenova, Siming Chen, Madina Mansurova, Symbat Abzaliyeva, Ainur Manapova, Almagul Kurmanova, Akbota Bugibayeva, Diana Sundetova, Raushan Bitemirova, Nazipa Baizhigitova, Merey Abdykassymova, Ulzhas Sagalbayeva

“…In addition, we applied k-means clustering to identify hidden patterns and risk profiles within the dataset. A Random Forest classifier was trained to distinguish between high-risk and low-risk individuals using the same feature set. …”
Get full text

Cardiometabolic index predicts cardiovascular events in aging population: a machine learning-based risk prediction framework from a large-scale longitudinal study by Yuanxi Luo, Yuanxi Luo, Zhiyang Yin, Xin Li, Xin Li, Chong Sheng, Ping Zhang, Dongjin Wang, Dongjin Wang, Yunxing Xue

“…Sex-stratified analyses suggested differential predictive patterns between gender subgroups. Given CMI’s robust and consistent predictive capability for stroke outcomes, we developed a machine learning-derived nomogram incorporating five key predictors: age, CMI, hypertension status, high-sensitivity C-reactive protein (hsCRP) and renal function (measured as serum creatinine). …”
Get full text

Modeling the partial equilibrium in the milk and dairy market in Ukraine by S. Kvasha, N. Davydenko, A. Ivanko, Z. Titenko

“…Specifics of establishing the state of partial equilibrium in that market were characterized relative to the main groups of its participants as producers and consumers. Development of methodological and practical aspects of features of establishing the state of market equilibrium in the dairy market, unlike existing, is based on a model basis is still actual. …”
Get full text

Investigating Protective and Risk Factors and Predictive Insights for Aboriginal Perinatal Mental Health: Explainable Artificial Intelligence Approach by Guanjin Wang, Hachem Bennamoun, Wai Hang Kwok, Jenny Paola Ortega Quimbayo, Bridgette Kelly, Trish Ratajczak, Rhonda Marriott, Roz Walker, Jayne Kotz

“…ObjectiveWe explored different explainable artificial intelligence (XAI)–powered machine learning techniques for developing culturally informed, strengths-based predictive modeling of perinatal psychological distress among Aboriginal mothers. …”
Get full text

Impact and elastic modulus of coal mining on terrestrial ecosystems by Jihong Dong, Wenting Dai, Jiren Xu, Hui Zhang, Yunpeng Li, Fei Xie

“…Furthermore, it delineates the life cycle stages and distinctive features of the five principal open-pit coal mines. …”
Get full text

Data quality and uncertainty issues in flood prediction: a systematic review by Jinhui Yu, Yichen Li, Xiao Huang, Xinyue Ye

“…These datasets often suffer from issues such as incompleteness, inconsistency, and accuracy deficits, further complicated by uncertainties arising from complex spatial features and environmental changes. The literature proposes a range of solutions, including the development of innovative methodologies, model construction, and comparative analysis, to address these challenges. …”
Get full text

Technical innovations and their representations in post-modern arts (Op art as a model) by Hussein Jabbar Mohammad

“…All aspects of science, including human approaches, are affected by technological development. This prompted the artist to search for what art is and its new patterns, which depend on the link between the elements of space, light and movement in order to create the new kinetic beauty that evokes sensations at the same time.          …”
Get full text

Resilience of the transit-oriented built environment against COVID-19 transmission: Evidence from major urban communities in Wuhan city by Yangguang Xiao, Hsi-Chuan Wang, Kojiro Sho

“…This study investigates how features of the built environment within transit-oriented development-guided (TOD-guided) communities influenced COVID-19 transmission patterns in Wuhan. …”
Get full text

Flame–Flame Interactions and Jet–Jet Interactions in Gas Turbine Swirl Combustors by Wei Wei, Xin Hui, Xin Xue, Qiang An, Shiyang Yu

“…Annular combustors are widely used in newly developed aero-engines. Nevertheless, the development of annular combustors requires substantial air supplies and high-power heaters during testing, leading to high experimental costs. …”
Get full text

Representation of Feminism in Russian Media Space: Authors and Narratives by Nikita A. Argylov, Ksenia A. Khramtsovskaya

“…The aim of the study is to determine the dynamics of authors’ publications and the feminist topic’s development in the Russian media space since 2017, as well as to identify trends in the development of the feminist topic. …”
Get full text

Historian of science in the historiographic space of Caucasian studies by Petr A. Kuzminov, Angela A. Zhurtova, Inna S. Tahusheva, Natalia S. Lavrova

“…How is historical fact included in the system of historiographic relations? Are there any features in the development of this process in Caucasian studies, or do they correspond to all-Russian patterns? …”
Get full text

Research progress on effects of CO2 injection on formations during geological storage by WANG Zhanpeng, LIU Shuangxing, LIU Qi, YANG Shugang, ZHANG Min, XIAN Chenggang, WENG Yibin

“…Fluid dissolution, migration, and precipitation are the fundamental features affecting formation stability and storage efficiency. …”
Get full text

Unraveling Street Configuration Impacts on Urban Vibrancy: A GeoXAI Approach by Longzhu Xiao, Minyi Wu, Qingqing Weng, Yufei Li

“…While previous studies have emphasized the connection between built environment features—especially street network centrality—and urban vibrancy, the broader mechanisms through which the full spectrum of street configuration dimensions shape vibrancy patterns remain insufficiently examined. …”
Get full text

Assessment of the Correspondence Between User Needs and Classroom Design Criteria for Pre-Schoolers with Autism Spectrum Disorder in Turkey by ABDALLAH Luqmaan Fihri, ERÇİN Çilen

“…Graphs were generated to visually represent the patterns and trends within the data. By utilizing Excel’s capabilities, a comprehensive analysis was conducted, in order to present a concise summary of the collected responses. …”
Get full text

Beef Carcass Grading with EfficientViT: A Lightweight Vision Transformer Approach by Hyunwoo Lim, Eungyeol Song

Get full text

Impact of agricultural industry transformation based on deep learning model evaluation and metaheuristic algorithms under dual carbon strategy by Xuan Zhao, Weiyun Tang, Qiuyan Liu, Hongtao Cao, Fei Chen

“…Compared with traditional methods—such as deep neural networks, support vector machines, and linear regression—the proposed model effectively integrates static and dynamic agricultural data. Static features, including farmland distribution and soil types, are extracted using Convolutional Neural Networks, while temporal trends in variables such as weather patterns and policy changes are captured by the Long Short-Term Memory network. …”
Get full text

Rspo3-mediated metabolic liver zonation regulates systemic glucose metabolism and body mass in mice. by Kenji Uno, Takuya Uchino, Takashi Suzuki, Yohei Sayama, Naoki Edo, Kiyoko Uno-Eder, Koji Morita, Toshio Ishikawa, Miho Koizumi, Hiroaki Honda, Hideki Katagiri, Kazuhisa Tsukamoto

“…The unique architecture of the liver consists of hepatic lobules, dividing the hepatic features of metabolism into 2 distinct zones, namely the pericentral and periportal zones, the spatial characteristics of which are broadly defined as metabolic zonation. …”
Get full text