An Improved Hybrid Collaborative Filtering Algorithm Based on Tags and Time Factor by Chunxia Zhang, Ming Yang, Jing Lv, Wanqi Yang

“…Traditional CFs suffer from data sparsity when making recommendations based on a rating matrix, and cannot effectively capture changes in user interest. In this paper, we propose an improved hybrid collaborative filtering algorithm based on tags and a time factor (TT-HybridCF), which fully utilizes tag information that characterizes users and items. …”
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Profit Maximization Model with Fare Structures and Subsidy Constraints for Urban Rail Transit by Qing Wang, Paul Schonfeld, Lianbo Deng

“…., headway) and fare structures of an urban rail transit system while considering necessary financial support from the government. To capture the interactions among the operator performance, government subsidies, and passengers in an urban rail transit system, a profit maximization model with nonnegative profit constraint is formulated to determine the optimal fare and headway solutions. …”
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Evaluation of Global Satellite Mapping of Precipitation Project Daily Precipitation Estimates over the Chinese Mainland by Zhuoqi Chen, Yaxin Qin, Yan Shen, Shupeng Zhang

“…Two versions of Global Satellite Mapping of Precipitation (GSMaP) products (GSMaP-V4 and GSMaP-V5) are validated both in a single grid scale and in contiguous China by comparing to gauge-based rainfall analysis dataset. GSMaP products can capture spatial patterns and magnitude of rainfall in daily mean precipitation. …”
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Patterns of Klebsiella pneumoniae bacteremic dissemination from the lung by Caitlyn L. Holmes, Katherine G. Dailey, Karthik Hullahalli, Alexis E. Wilcox, Sophia Mason, Bridget S. Moricz, Lavinia V. Unverdorben, George I. Balazs, Matthew K. Waldor, Michael A. Bachman

“…Studying dissemination from primary sites by solely measuring bacterial burdens does not capture the movement of individual clones. By barcoding Klebsiella pneumoniae, a leading cause of bacteremia, we track pathogen dissemination following pneumonia. …”
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Flood modeling prior to the instrumental era reveals limited magnitude of 1931 Yangtze flood by Ling Zhang, Zhongshi Zhang, Lu Li, Xiaoling Chen, Xijin Wang, Entao Yu, Pratik Kad, Odd Helge Otterå, Chuncheng Guo, Jianzhong Lu, Mingna Wu

“…Due to data scarcity, reconstructing pre-instrumental flood magnitudes relies on statistical downscaling, failing to capture nonlinear and dynamic characteristics. We developed a dynamical approach, NorESM-WRF-SWAT, integrating a global climate, a regional, and a hydrologic model to investigate the 1931 Yangtze River flood (the deadliest in the world) and compared it with the 1998’s. …”
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Crop Row Detection in Maize Fields Inspired on the Human Visual Perception by J. Romeo, G. Pajares, M. Montalvo, J. M. Guerrero, M. Guijarro, A. Ribeiro

“…The vision system is designed to be installed onboard a mobile agricultural vehicle, that is, submitted to gyros, vibrations, and undesired movements. The images are captured under image perspective, being affected by the above undesired effects. …”
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Early screening of lung function by electrical impedance tomography in people with normal spirometry reveals unrecognized pathological features by Shuoyao Qu, Enzhi Feng, Daihan Dong, Lin Yang, Meng Dai, Inéz Frerichs, Shaojie Liu, Yi Gao, Jinping Zheng, Liqiang Song, Zhanqi Zhao

“…In this study we show that conventional spirometry may not capture early changes that occur at a regional level. …”
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How accounting for investment subsidies influences financial performance: an empirical analysis of IAS 20 and Czech accounting legislation by Radek Zdeněk, Jana Lososová, Jaroslav Svoboda

“…This standard offers two options for capturing subsidies on assets – as deferred income or by reducing the book value. …”
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Solving the Black–Scholes European options model using the reduced differential transform method with powered modified log-payoff function by S.E. Fadugba, A.M. Udoye, S.C. Zelibe, S.O. Edeki, C. Achudume, A.A. Adeyanju, O. Makinde, P.A. Bankole, M.C. Kekana

“…The research also demonstrates that the sensitivities of the European call and put option prices, commonly known as the “Greeks,” can be effectively captured using this approach. Importantly, this model operates under the assumption that assets follow geometric Brownian motion and do not yield dividends. …”
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Dynamics of the Indonesian Parliament in Formulating Food Laws to Achieve Food Security at the End of the New Order by Agustina Wilujeng Pramestuti, Yety Rochwulaningsih, Singgih Tri Sulistiyono

“…Research findings reveal that the Food Law formulated and passed at the end of the New Order era actually attempted to be oriented towards food security and was critical of capitalism. …”
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Efficient multi-omics clustering with bipartite graph subspace learning for cancer subtype prediction by Shuwei Zhu, Hao Liu, Meiji Cui

“…Experiments showed that the proposed MBSLC method can capture the latent spaces of multi-omics data effectively and showed superiority over other state-of-the-art methods for cancer subtype analysis. …”
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A Comprehensive Review of Facial Beauty Prediction Using Multi-task Learning and Facial Attributes by Ali H. Ibrahem, Adnan M. Abdulazeez

“…The study adopts advanced computational methodologies, including convolutional neural networks and multi-task learning frameworks, to capture nuanced facial cues. A comprehensive analysis of publicly available datasets reveals critical gaps in diversity, biases, and ground truth annotation for training effective models. …”
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Traffic Collision Severity Modeling Using Multi-Level Multinomial Logistic Regression Model by Rushdi Alsaleh, Kawal Walia, Ghoncheh Moshiri, Yasmeen T. Alsaleh

“…The findings underscore the superiority of the Multi-Level Multinomial Logistic Regression model over the standard Multinomial Logistic Regression model in capturing road user severity. Furthermore, this paper highlights the heightened odds of fatalities associated with the presence of vulnerable road users, such as pedestrians and cyclists. …”
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Simulation Analysis of Air Flow and Turbulence Statistics in a Rib Grit Roughened Duct by I. I. Vogiatzis, A. C. Denizopoulou, G. K. Ntinas, V. P. Fragos

“…Furthermore, the applied numerical method is capable of capturing small-scale flow structures resulting from the direct solution of Navier-Stokes and continuity equations.…”
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A Bioinspired Methodology Based on an Artificial Immune System for Damage Detection in Structural Health Monitoring by Maribel Anaya, Diego A. Tibaduiza, Francesc Pozo

“…This paper introduces a bioinspired strategy for the detection of structural changes using an artificial immune system (AIS) and a statistical data-driven modeling approach by means of a distributed piezoelectric active sensor network at different actuation phases. Damage detection and classification of structural changes using ultrasonic signals are traditionally performed using methods based on the time of flight. …”
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Spatial-Temporal Fusion Graph Neural Networks With Mixed Adjacency for Weather Forecasting by Ang Guo, Yanghe Liu, Shiyu Shao, Xiaowei Shi, Zhenni Feng

“…In this paper, we propose STGAMAM, which integrates Spatial-Temporal fusion Graph neural networks with a novel Adjacency Matrix and self-Attention Mechanisms to capture both long-term temporal periodicity and short-term spatial-temporal dependencies based on mixed adjacency via graph attention networks and then makes fine-grained prediction on concatenated features which combines diverse correlations. …”
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Heterogeneous and Homogenous Multistabilities in a Novel 4D Memristor-Based Chaotic System with Discrete Bifurcation Diagrams by Lilian Huang, Wenju Yao, Jianhong Xiang, Zefeng Zhang

“…Finally, the chaotic attractors are captured through circuit simulation, which verifies numerical simulation.…”
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Generating synthetic images for construction machinery data augmentation utilizing context-aware object placement by Yujie Lu, Bo Liu, Wei Wei, Bo Xiao, Zhangding Liu, Wensheng Li

“…First, the inpainting algorithm was applied to generate pure backgrounds, followed by multi-angle foreground capture within the UE. Then, the Swin Transformer and improved loss functions were integrated into PlaceNet to enhance the feature extraction of construction backgrounds, facilitating object placement accuracy. …”
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Rosiglitazone Induces Mitochondrial Biogenesis in Differentiated Murine 3T3-L1 and C3H/10T1/2 Adipocytes by James X. Rong, Jean-Louis D. Klein, Yang Qiu, Mi Xie, Jennifer H. Johnson, K. Michelle Waters, Vivian Zhang, Jennifer A. Kashatus, Katja S. Remlinger, Nan Bing, Renae M. Crosby, Tymissha K. Jackson, Sam M. Witherspoon, John T. Moore, Terence E. Ryan, Sue D. Neill, Jay C. Strum

“…By systematically analyzing mitochondrial gene expression in two common murine adipocyte models, the current study aimed to further establish the direct role of RSG and capture temporal changes in gene transcription. Microarray profiling revealed that in fully differentiated 3T3-L1 and C3H/10T1/2 adipocytes treated with RSG or DMSO vehicle for 1, 2, 4, 7, 24, and 48 hrs, RSG overwhelmingly increased mitochondrial gene transcripts time dependently. …”
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GTAT: empowering graph neural networks with cross attention by Jiahao Shen, Qura Tul Ain, Yaohua Liu, Banqing Liang, Xiaoli Qiang, Zheng Kou

“…Abstract Graph Neural Networks (GNNs) serve as a powerful framework for representation learning on graph-structured data, capturing the information of nodes by recursively aggregating and transforming the neighboring nodes’ representations. …”
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