Strategy Analysis of Seamlessly Resolving Turbulent Flow Simulations by Stefan Heinz

“…The simple question is how it is possible to enable reliable and cost-efficient predictions of high-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>R</mi><mi>e</mi></mrow></semantics></math></inline-formula> wall-bounded turbulent flows in particular under conditions where data for validation are unavailable. This paper presents a strict analysis of strategies for the design of seamlessly resolving turbulent flow simulations for a wide class of turbulence models. …”
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Technology-Enhanced Multimodal Learning Analytics in Higher Education: A Systematic Literature Review by Ozan Rasit Yurum

“…Multimodal learning analytics (MMLA) is an emerging field of learning analytics and promises a more comprehensive analysis of the learning process thanks to advances in technological devices and data science. …”
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Feature Enhanced Spatial–Temporal Trajectory Similarity Computation by Silin Zhou, Chengrui Huang, Yuntao Wen, Lisi Chen

“…Abstract Trajectory similarity computation is a fundamental function in many applications of urban data analysis, such as trajectory clustering, trajectory compression, and route planning. …”
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Explainable Siamese Neural Networks for Detection of High Fall Risk Older Adults in the Community Based on Gait Analysis by Christos Kokkotis, Kyriakos Apostolidis, Dimitrios Menychtas, Ioannis Kansizoglou, Evangeli Karampina, Maria Karageorgopoulou, Athanasios Gkrekidis, Serafeim Moustakidis, Evangelos Karakasis, Erasmia Giannakou, Maria Michalopoulou, Georgios Ch Sirakoulis, Nikolaos Aggelousis

“…To address this, the present study proposes a novel approach that transforms biomechanical time-series data, derived from gait analysis, into visual representations to facilitate the application of deep learning (DL) methods for fall risk assessment. …”
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Development of a Post-Processing Procedure to Characterize Damage in Hybrid Natural Woven Composites Subjected to Low-Velocity Impact by Means of Thermography Techniques by Tiziana Matarrese, Claudia Sergi, Davide Palumbo, Fabrizio Sarasini, Umberto Galietti

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Cyber-Biosecurity Challenges in Next-Generation Sequencing: A Comprehensive Analysis of Emerging Threat Vectors by Nasreen Anjum, Hani Alshahrani, Asadullah Shaikh, Mahreen-Ul-Hassan, Mehreen Kiran, Shah Raz, Abu Alam

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scplainer: using linear models to understand mass spectrometry-based single-cell proteomics data by Christophe Vanderaa, Laurent Gatto

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A Computed Tomography-Based Morphometric Assessment of the Foramen Lacerum in a Turkish Population Using the 3D Slicer Method by Merve Muslu, Ömür Karaca, Aybars Kökçe, Niyazi Acer

“…A retrospective analysis was performed on cranial CT images from 77 patients, comprising 42 females and 35 males. …”
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A Comparison of Computational Approaches for Intron Retention Detection by Jiantao Zheng, Cuixiang Lin, Zhenpeng Wu, Hong-Dong Li

“…We discuss key principles and features of existing approaches and outline their differences. This systematic analysis provides helpful guidance for interrogating transcriptomic data from the point of view of IR.…”
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Addressing process-induced porosity variations in multiscale composite materials analysis using aggregated projection clustering and Halton sequence RVE sampling by Hamidreza Dehghani, Henri Perrin, Elias Belouettar-Mathis, Borek Patzák, Salim Belouettar

“…The workflow generates computational meshes of RVE cells for Finite Element (FE) analysis, solves the cell problems required for upscaling, and calculates the effective heat conductivity. …”
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Experimental analysis and optimization of hydrogen pre-cooling liquefaction process with composite catalyst through a hybrid priority cluster modeling approach by Faisal Khan, Osama Khan, Praveen Pachauri, Mohd Parvez, Aiyeshah Alhodaib, Zeinebou Yahya, Haidar Howari, M. Javed Idrisi, Worku Tenna

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An analysis of ridesharing trip time using advanced text mining techniques by Wenxiang Xu, Anae Sobhani, Ting Fu, Amir Mahdi Khabooshani, Aminreza Vazirinasab, Sina Shokoohyar, Ahmad Sobhani, Behnaz Raouf

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Analysis of Solid Waste Management Scenarios in India: A Comparative Case Study of Indore and Varanasi with Special Emphasis on Policy Gaps and Interventions by Deepak Rathore, Ravikant Dubey, Ram Sharan Singh, Amrita Dwivedi

“…A comparison between Indore and Varanasi will reveal the gaps in solid waste management in India's two-tier towns. Comparative data analysis of the solid waste composition, chemical composition, cleaning, collection, transportation, treatment, and disposal facilities will provide insight into waste management shortcomings. …”
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Big Data Meets Social Networks: A Survey of Analytical Strategies and Research Challenges by Shashank Sheshar Singh, Shashank Singh, Kuldeep Singh, Vishal Srivastava, Harish Kumar Shakya

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Data‐sharing strategies in medical consortium based on master‐slave multichain and federated learning by Bohan Kang, Ning Zhang, Jianming Zhu

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Exploring the Intersection of Big Data and AI With CRM Through Descriptive, Network, and Contextual Methods by Dervis Ozay, Mohammad Jahanbakth, Shouyi Wang

“…As artificial intelligence (AI) continues to gain prominence, understanding its application in customer relationship management (CRM) has become increasingly critical. Advances in computing power, big data availability, AI methodologies, and the growing adoption of CRM systems have driven significant interest in AI-based CRM from both academia and industry. …”
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NUTRITIONAL COMPOSITION AND SENSORY EVALUATION OF BREAKFAST CEREAL FROM PEARL MILLET-COCONUT COMPOSITE FLOUR by Adebukola T. OMIDIRAN, Esther O. UZOMA, Adekola F. ADEGOKE, Olajide P. SOBUKOLA

“…Pearl millet (M) and coconut flour (C) were blended into five proportions (100M:0C, 90M:10C, 80M:20C, 70M:30C, 60M:40C) to produce breakfast cereal. Data obtained were subjected to analysis of variance (ANOVA). …”
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A Survey on Video Big Data Analytics: Architecture, Technologies, and Open Research Challenges by Thi-Thu-Trang Do, Quyet-Thang Huynh, Kyungbaek Kim, Van-Quyet Nguyen

“…It categorizes system architectures into four primary types as follows: centralized, cloud-based infrastructures, edge computing, and hybrid cloud–edge. It also analyzes key enabling technologies, including real-time streaming, scalable distributed processing, intelligent AI models, and advanced storage for managing large-scale multimodal video data. …”
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Analyzing Data Incompleteness for MRI Data for Quality Enhancement by Sanjay Shanbhag, Supreetha Raju, Varadraj P. Gurupur, S. Sowmya Kamath, Rajesh N. V. P. S. Kandala, Elizabeth A. Trader, Shyam Lal

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RIDDEN: Data-driven inference of receptor activity from transcriptomic data. by Szilvia Barsi, Eszter Varga, Daniel Dimitrov, Julio Saez-Rodriguez, László Hunyady, Bence Szalai

“…While several computational methods have been developed to analyze ligand-receptor interactions based on transcriptomics data, none of them focuses directly on the receptor side of these interactions. …”
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