Mobile Game Evaluation Method Based on Data Mining of Affective Time Series by Jeremi K. Ochab, Paweł Węgrzyn, Przemek Witaszczyk, Dominika Drążyk, Grzegorz J. Nalepa

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Incorporating Deep Learning Into Hydrogeological Modeling: Advancements, Challenges, and Future Directions by Zhenxue Dai, Chuanjun Zhan, Huichao Yin, Junjun Chen, Lulu Xu, Yuzhou Xia, Songlin Yang, Wei Chen, Mingxu Cao, Zhengyang Du, Xiaoying Zhang, Bicheng Yan, Yue Ma, Hao Wang, Farzad Moeini, Mohamad Reza Soltanian, Hung Vo Thanh, Kenneth C. Carroll

“…Traditional modeling methods face challenges due to the increasing complexity and volume of data. Deep learning (DL) has emerged as a promising tool, offering significant improvements in accuracy and efficiency for tasks such as time series prediction, spatial data analysis, and inverse modeling. …”
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Standardized Chromatographic and Computational Approaches for Lipophilicity Analysis of Five Gliflozin Antidiabetic Drugs in Relation to Their Biological Activity by Anna Gumieniczek, Anna Berecka-Rycerz, Marcelina Dul, Aleksandra Pryjda

“…This study represents the first-time experimental analysis of lipophilicity for antidiabetic drugs from the gliflozin class using chromatographic methods alongside computational approaches. …”
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Data Quality Analysis on Open Government Data Portals: A Qualitative Study Using ISO/IEC 25012:2008 Standards by Emigawaty Emigawaty, Andri Syafrianto

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Protocol for achieving enhanced snRNA-seq data quality using Quality Clustering by Paavo J. Tavi, Johannes Ojanen, Pia Laitinen, Suvi Linna-Kuosmanen

“…Summary: Single-nucleus RNA sequencing (snRNA-seq) data analysis presents a challenge in samples that have high levels of ambient RNA contamination. …”
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Game-Related Statistics in the Spanish Water Polo League: Differences between Seasons (Estadísticas de partido en la Liga Española de Waterpolo: Diferencias entre temporadas) by María del Carmen Iglesias Pérez, Enrique García Ordóñez, Carlos Touriño González

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Cardinality-constrained structured data-fitting problems by Fan, Zhenan, Fang, Huang, Friedlander, Michael P.

“…A memory-efficient solution framework is proposed for the cardinality-constrained structured data-fitting problem. Dual-based atom-identification rules reveal the structure of the optimal primal solution from near-optimal dual solutions, which allows for a simple and computationally efficient algorithm that translates any feasible dual solution into a primal solution satisfying the cardinality constraint. …”
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Open Bibliographical Data Workflows and the Multilinguality Challenge by Vojtěch Malínek, Tomasz Umerle, Edward Gray, Ivan Heibi, Péter Király, Christiane Klaes, Przemysław Korytkowski, David Lindemann, Arianna Moretti, Charlotte Panušková, Róbert Péter, Mikko Tolonen, Aldona Tomczyńska, Ondřej Vimr

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Accuracy and feasibility analysis of computational chemistry in drug spectral simulation—a case study of acetylsalicylic acid by Haitao Cao, Junjian Zeng, Lixin Xue

“…Objectives This study aims to demonstrate the feasibility and educational value of integrating computational methods into drug synthesis and analysis, using acetylsalicylic acid (ASA) as a case study. …”
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Bridging Crisp-Set Qualitative Comparative Analysis and Association Rule Mining: A Formal and Computational Integration by Acácio Dom Luís, Rafael Benítez, María del Carmen Bas

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Computational analysis of ABL kinase mutations allows predicting drug sensitivity against selective kinase inhibitors by Swapna Kamasani, Sravani Akula, Sree Kanth Sivan, Vijjulatha Manga, Justus Duyster, Dashavantha Reddy Vudem, Rama Krishna Kancha

“…Initial validation analysis of our approach using a panel of previously studied frequent mutations indicated that the computational data generated in this study correlated well with the published experimental/clinical data. …”
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Real-world performance analysis of a universal computational reasoning model for precision oncology in lung cancer by Anna Dirner, Dóra Kormos, Dóra Lakatos, Márton Bolyácz, Mária Kocsis-Steinbach, Gábor György Kalmár, Dóra Tihanyi, Ákos Takács, Ákos Boldizsár, Viktor Kardos, Réka Szalkai-Dénes, Barbara Vodicska, Edit Várkondi, Júlia Déri, Gábor Pajkos, Dóra Mathiász, István Vályi-Nagy, Richárd Schwáb, Maud Kamal, Christian Rolfo, Arkadiusz Z. Dudek, Christophe Le Tourneau, Róbert Dóczi, László Urbán, István Peták

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Computational and experimental analysis of flow velocity and complex vortex formation around a group of bridge piers by Nima Ikani, Jaan H. Pu, Prashanth Reddy Hanmaiahgari, Bimlesh Kumar, Ebrahim Hamid Hussein Al-Qadami, Mohd Adib Mohammad Razi, Shu-yan Zang

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MinPlotX: A powerful tool for formula recalculation, visualization, and comparison of large mineral compositional datasets by Walters Jesse B., Gies Nils B.

“…The most powerful feature is the addition of nearly any kind of numerical or categorized metadata, such as sample name, analysis location, trace element concentration, age, and others, that can be used to subdivide or contour data. …”
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A Selective Overview of Quantile Regression for Large-Scale Data by Shanshan Wang, Wei Cao, Xiaoxue Hu, Hanyu Zhong, Weixi Sun

“…We focus on three key strategies for large-scale QR analysis: (1) distributed computing, (2) subsampling methods, and (3) online updating. …”
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Computational intelligence analysis on drug solubility using thermodynamics and interaction mechanism via models comparison and validation by Ahmad J. Obaidullah, Wael A. Mahdi

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A computational pipeline for image-based statistical analysis of biomolecular condensates dynamics using morphological descriptors by Ivan Rosa e Silva, Guilherme Gurian Dariani, Felipe Zanghelini Benevenutti, Renata Rocha de Oliveira, Vitória Yumi Uetuki Nicoleti, Murilo de Carvalho

“…We implemented robust statistical analyses besides conventional descriptors, incorporating skewness and kurtosis for asymmetric data distribution, and multivariate analysis through interactive principal component analysis (PCA) visualization combined with correlation and scree plots. …”
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A computational grounded theory based analysis of research on China’s old-age social welfare system by Agudamu, Yingying Li, Na Mi, Xinyue Pan

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An Analysis and Comparison of the Hydrodynamic Behavior of Ships Using Mesh-Based and Meshless Computational Fluid Dynamics Simulations by Davide Caccavaro, Bonaventura Tagliafierro, Gianluca Bilotta, José M. Domínguez, Alessio Caravella, Roberto Gaudio, Alfredo Cassano, Corrado Altomare, Agostino Lauria

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Anoikis in hepatocellular carcinoma: genetic alterations and immune microenvironment insights from single-cell and computational analysis by Bing Zhou, Jialing Zhang, Mingfeng Guo

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