The use of artificial intelligence to analyze and optimize financial flows by М. А. Miakisheva

“…The article systematizes modern ideas about the features of using artificial intelligence tools in order to analyze and optimize financial flows. …”
Get full text

Human-Aware Control for Physically Interacting Robots by Reza Sharif Razavian

“…The holistic model is shown to replicate salient features of human movements. The human-aware controller’s ability to predict and minimize the user’s neuromuscular effort in a collaborative task is also demonstrated in simulations.…”
Get full text

Visual Multiple-object Tracking Algorithm Based on Motion Consistency by YANG Hailang, LYU Yu, JIANG Guotao, PI Zhichao, LUO Shuo, CHEN Meilin

“…The algorithm aims to improve the stability in tracking multiple objects with similar appearance features and motion patterns, while maintaining stability in normal cases. …”
Get full text

Temporal Fusion Transformer-Based Trading Strategy for Multi-Crypto Assets Using On-Chain and Technical Indicators by Ming Che Lee

“…By combining multi-source features—such as Spent Output Profit Ratio (SOPR), Total Value Locked (TVL), active addresses (AA), exchange net flow (ENF), Realized Cap HODL Waves, and the Crypto Fear and Greed Index—with classical signals like Relative Strength Index (RSI) and moving average convergence divergence (MACD), the model captures behavioral patterns, investor sentiment, and price dynamics in a unified structure. …”
Get full text

"Svag elev" som social representation i Statens offentliga utredningar by Therese Friberg

“… Classifications of pupils as ‘weak’ have featured during the last century in Sweden and are still present in contemporary descriptions of pupils. …”
Get full text

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. …”
Get full text

A data driven framework for optimizing droplet microfluidics with residual block and Fourier enhanced networks by Alireza Samari, Kamal Jannati, Azadeh Jafari

“…Droplet formation dynamics within a co-flow microfluidic device were simulated using the Lattice Boltzmann method, generating a comprehensive dataset of 658 cases across both dripping and jetting regimes. We developed two innovative machine learning models: the Fourier-Enhanced Network (FEN), which utilizes Fourier series to decompose input features into harmonic components; and the Residual Block Network (ResBNet), which incorporates skip connections within residual layers to capture complex nonlinear patterns. …”
Get full text

Scenarios of change in Iranian family lifestyle with emphasis on mapping new communication technologies from the perspective of experts by Bahareh Nasiri

“…From the experts' point of view, 4 scenarios: eclectic media family, stable media family, unstable media family and chaotic media family were developed and the main features of each scenario were presented.…”
Get full text

Assessment of Floor-Level Impact on Natural Ventilation and Indoor Thermal Environment in Hot–Humid Climates: A Case Study of a Mid-Rise Educational Building by Emeka J. Mba, Peter I. Oforji, Francis O. Okeke, Ikechukwu W. Ozigbo, Chinyelu D. F. Onyia, Chinelo A. Ozigbo, Emmanuel C. Ezema, Foluso C. Awe, Rosemary C. Nnaemeka-Okeke, Stephanie C. Onyia

“…The rapid urbanization of developing cities has intensified the challenge of maintaining thermal comfort in buildings, particularly in hot–humid climates. …”
Get full text

Comprehensive Integrated Analysis Reveals the Spatiotemporal Microevolution of Cancer Cells in Patients with Bone-Metastatic Prostate Cancer by Yinghua Feng, Xiuli Zhang, Guangpeng Wang, Feiya Yang, Ruifang Li, Lu Yin, Dong Chen, Wenkuan Wang, Mingshuai Wang, Zhiyuan Hu, Yuan Sh, Nianzeng Xing

“…Notably, we identified a novel epithelial subpopulation, NEndoCs, characterized by unique differentiation patterns and distinct spatial distribution across metastatic niches. …”
Get full text

Novel parent survey measures sensory behaviors incorporating sensory modality and stimulus intensity by Connor Yee, Ellie Rather, Sakib Hoque, Joon Lee, Stephanie Marton, Jill Roth, Frederick L. Oswald, Kenneth J. Nobleza, Ankona Banerjee, Holly Harris, Ariel M. Lyons-Warren

“…The purpose of this study was to validate the SRQP against established tools and assess its efficacy in identifying nuanced sensory processing patterns in children with autism. Methods: A convenience sample of 317 participants (57 with autism, 260 typically developing) aged 3–17 years were enrolled in a cross-sectional study. …”
Get full text

A step forward in enhancing the health-promoting properties of whole tomato as a functional food to lower the impact of non-communicable diseases by Pier Giorgio Natali, Pier Giorgio Natali, Mauro Piantelli, Alessandra Sottini, Margherita Eufemi, Cristina Banfi, Luisa Imberti

“…Although WTFS may be susceptible to further improvements and clinical scrutiny, its composition embodies the features of advanced functional foods to ease adherence to dietary patterns, that is, the Mediterranean diet, aimed at contrasting and mitigating the low-grade inflammation, thus being interceptive or preventive of non-communicable diseases.…”
Get full text

Microecological aspects of relationship between skin microbiota and psoriasis by Arsenyeva A.A., Lyamin A.V., Migacheva N.B., Orlov E.V., Alekseev D.V.

“…In particular, various patterns of deviations in the composition of microbiological communities are considered, such as an increase in the ratio of individual pathogens (Staphylococcus aureus and Streptococcus pyogenes) and a decrease in the number of microorganisms that limit the growth of pathogenic flora (Staphylococcus epidermidis and Cutibacterium acnes). …”
Get full text

Detection and Monitoring of Floating Plastic Debris on Inland Waters From Sentinel-2 Time Series by Daniele Cerra, Stefan Auer, Adrian Baissero, Felix Bachofer

“…First, the detection of plastic candidates is conducted with a rule-based approach relying on variations in signal intensity, temporal patterns, spectral features, and information fusion. …”
Get full text

A Survey on Android Malware Detection Techniques Using Supervised Machine Learning by Safa J. Altaha, Ahmed Aljughaiman, Sonia Gul

“…The findings reveal that the existing researches utilize different ML models, features, and detection techniques, including static, dynamic, and hybrid approaches. …”
Get full text

Advanced and interpretable corneal staining assessment through fine grained knowledge distillation by Yuqing Deng, Pujin Cheng, Ruiwen Xu, Lirong Ling, Hongliang Xue, Shiyou Zhou, Yansong Huang, Junyan Lyu, Zhonghua Wang, Kenneth K. Y. Wong, Yimin Zhang, Kang Yu, Tingting Zhang, Xiaoqing Hu, Xiaoyi Li, Xiaoying Tang, Yan Lou, Jin Yuan

“…To address these limitations, we developed the Fine-grained Knowledge Distillation Corneal Staining Score (FKD-CSS) model. …”
Get full text

A dual-core model for ENSO diversity: unifying model hierarchies for realistic simulations by Jinyu Wang, Xianghui Fang, Nan Chen, Bo Qin, Mu Mu, Chaopeng Ji

“…To address this, we build upon existing model hierarchies to develop a new unified modeling platform, which provides practical, scalable, and accurate tools for advancing ENSO research. …”
Get full text

Automated building typology clustering and identification using a variational autoencoder on digital land cadastres by Jaime de-Miguel-Rodriguez, M.V. Requena-Garcia-Cruz, E. Romero-Sánchez, A. Morales-Esteban

“…Unlike traditional shape clustering approaches, that depend on predefined rules or manual labelling, the method employs unsupervised learning to identify building typologies, based solely on geometric features, derived from roof-print shapes. Leveraging a large-scale dataset of over 100,000 buildings from the Seville, Spain cadastre, the VAE has been trained with augmented data to generate a latent space that captures dominant morphological patterns. …”
Get full text

Exploring Conceptualizations of Disability Using Story-Completion Methods by Nicole Giouridis, Toni Louise Williams, Julia McKenna, Jennifer Rose Tomasone

“…Seventy-four graduate and undergraduate students from a Canadian university completed one of two versions of a story stem featuring an individual with a physical disability who was either a classmate or a potential romantic partner. …”
Get full text

Joint Planning of Renewable Energy and Electric Vehicle Charging Stations Based on a Carbon Pricing Optimization Mechanism by Shanli Wang, Bing Fang, Jiayi Zhang, Zewei Chen, Mingzhe Wen, Huanxiu Xiao, Mengyao Jiang

“…The integration of renewable energy and electric vehicle (EV) charging stations into distribution systems presents critical challenges, including the inherent variability of renewable generation, the complex behavioral patterns of EV users, and the need for effective carbon emission mitigation. …”
Get full text