Application of physics-informed neural networks for two-phase flow model with variable diffusion and experimental validation by Daulet Kalesh, Timur Merembayev, Sagyn Omirbekov, Yerlan Amanbek

“…This paper presents Physics-Informed Neural Networks (PINNs) with a spatially-dependent diffusion function to model two-phase flow in porous media, explicitly addressing the Buckley-Leverett problem. …”
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Multi-Information-Assisted Bistatic Active Sonar Target Tracking for Autonomous Underwater Vehicles in Shallow Water by Zhanpeng Bao, Yonglin Zhang, Yupeng Tai, Jun Wang, Haibin Wang, Chao Li, Chenghao Hu, Peng Zhang

“…The re-derived multi-information-assisted association probability calculation method and algorithmic workflow are explicitly designed for real-time implementation in AUV systems. …”
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Performance Boundaries and Tradeoffs in Super-Resolution Imaging Technologies for Space Targets by Xiaole He, Ping Liu, Junling Wang

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Constrained Heat Kernel Graph Diffusion Convolution: A High-Dimensional Statistical Approximation via Information Theory by Zhuo-Chen He

“…Furthermore, these methods do not explicitly explain the diffusion time obtained from the specific graph data. …”
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Spatiotemporal upscaling of sparse air-sea pCO2 data via physics-informed transfer learning by Siyeon Kim, Juan Nathaniel, Zhewen Hou, Tian Zheng, Pierre Gentine

“…Furthermore, we demonstrate that using models that explicitly account for spatiotemporal structures in the data yield better validation performances by 50-68%. …”
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Delta-Adjust: Minimum Distance Interpolation by Ziad F. Doughan, Sari S. Itani

“…Unlike conventional prediction models, Delta-Adjust operates without explicit training phases. It leverages the structure of information entangled within the dataset to interpolate across a domain using small, local adjustments. …”
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Using microdata as a basis for long term projections of hospital care spending: the added value of more detailed information by Peter Paul F. Klein, Sigur Gouwens, Katalin Katona, Niek Stadhouders, Talitha L. Feenstra

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Machine Translation Performance for Low-Resource Languages: A Systematic Literature Review by Taofik O. Tafa, Siti Zaiton Mohd Hashim, Mohd Shahizan Othman, Hitham Alhussian, Maged Nasser, Said Jadid Abdulkadir, Sharin Hazlin Huspi, Sarafa O. Adeyemo, Yunusa Adamu Bena

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FASI-Net: Frequency-Domain Information Assisted Semantic Interaction Network for Bitemporal Remote Sensing Images Change Detection by Fenglei Chen, Haijun Liu, Zhihong Zeng, Xiaoheng Tan

“…We attempt to employ frequency-domain information to explicitly interact bitemporal low-frequency semantic information during the encoding process, subsequently preserving and enhancing the high-frequency information of each temporal feature. …”
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Estimation of the distribution function of a finite population utilizing auxiliary information in the context of non-response within complex survey sampling. by Mohsin Abbas, Muhammad Ahmed Shehzad, Haris Khurram, Mahwish Rabia

“…The simulation results demonstrate that the proposed families of estimators perform well under different sampling scenarios. Our findings indicate that difference CDF estimators are more explicit than the other estimators discussed. …”
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An Interpretable Combined Forecasting Method for Stock Market Based on Fuzzy Time Series Model and Linear-Trend Fuzzy Information Granulation by Jindong Feng, Zengtai Gong

“…Experimental evaluation on five benchmark datasets from Yahoo Finance demonstrates that the proposed model outperforms eight state-of-the-art forecasting methods in terms of predictive performance. Furthermore, it maintains interpretability through transparent fuzzy rules and explicit trend representations, providing a robust and explainable framework for stock market forecasting.…”
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V³IP Model: A Multiview Vegetation Information Perception Network for Wetland Mapping With Hyperspectral Imagery by Chunyan Yu, Feihong Zhou, Chi Yu, Enyu Zhao, Yulei Wang, Yabin Hu, Haoyang Yu

“…Specifically, the vegetation index fusion module involves explicit vegetation index information in the original HSI data and highlights the vegetation information of the fed training samples. …”
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Deep Learning-Based Secrecy Performance of UAV-IRS NOMA Systems With Friendly Jamming by Kajal Yadav, Prabhat K. Upadhyay, Jules M. Moualeu, Amani A. F. Osman, Pedro H. J. Nardelli

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Co-Designing in Cultural Tourism: TExTOUR ICT Services and Performance Monitoring System by Shabnam Pasandideh, Kashyap Raiyani, Pedro Martín Lerones, Sajib Ahmed, Pedro Pereira, Francisco J. Barrientos, João Martins

“…A successful co-designed platform integrates explicit services—requiring specialized software tools—and implicit services, facilitating evaluation processes. …”
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A systematic review of ESG indicators and corporate performance: proposal for a conceptual framework by Ícaro Guilherme Félix da Cunha, Renata Veloso Santos Policarpo, Paula Cristina Senra de Oliveira, Etienne Cardoso Abdala, Daisy Aparecida do Nascimento Rebelatto

“…Additionally, we propose a conceptual framework that advances the ESG literature by establishing explicit connections between ESG dimensions and corporate performance variables. …”
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Between accountability and agency: a comparative analysis of faculty performance evaluation policies in the UAE by Rami Alsharefeen, Mutasim Al-Deaibes

“…RUFDATA proved a robust meta-evaluative lens, revealing that most policies align with established best practice: they articulate explicit purposes (faculty development, merit pay, academic excellence), specify uses (diagnosing improvement areas, fostering collegiality, informing promotion and contract renewal), embed faculty in goal-setting, and impose clear timelines. …”
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SumGPT: A Multimodal Framework for Radiology Report Summarization to Improve Clinical Performance by Tipu Sultan, Mohammad Abu Tareq Rony, Mohammad Shariful Islam, Samah Alshathri, Walid El-Shafai

“…Combining a Vision Transformer(ViT) with a language model enhances its ability to capture detailed information. The study also shows that SumGPT performs well with different types of reports and could be beneficial in other areas, such as pathology and cardiology. …”
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Human Factors and Ergonomics in Sustainable Manufacturing Systems: A Pathway to Enhanced Performance and Wellbeing by Violeta Firescu, Daniel Filip

“…Based on a globally recognized ranking system utilized by investors in making informed decisions, the study focuses on manufacturing companies ranked by their occupational health and safety (OHS) scores, a key criterion for assessing the social dimension of company performance. …”
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NeuroTIS+: An Improved Method for Translation Initiation Site Prediction in Full-Length mRNA Sequence via Primary Structural Information by Wenqiu Xiao, Chao Wei

“…In our previous work, we developed NeuroTIS, a novel method for TIS prediction based on a hybrid dependency network combined with a deep learning framework that explicitly models label dependencies both within coding sequences (CDSs) and between CDSs and TISs. …”
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From communication to action: using ordered network analysis to model team performance in clinical simulation by Vitaliy Popov, Lauryn R. Rochlen

“…High-performers demonstrated stronger associations between invited input, explicitly assessing the situation, stating plans, and implementation. …”
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