Process for Leveraging Enterprise Architecture in Information Systems Strategic Planning: A Case of Developing a Strategy and Master Plan for a National Integrated Health Laborator... by Agnes Nakakawa, Daniel Kasule, Michael Kasusse, Gaspard Guma, Steven Aisu, Patrick A. Ogwok, Hakim Sendagire

“…Effective alignment of institutional processes with digital technologies is imperative for enterprises, including those in healthcare. …”
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Predicting CO2 adsorption in KOH-activated biochar using advanced machine learning techniques by Raouf Hassan, Alireza Baghban

“…We employed a comprehensive suite of machine learning methods, like convolutional neural networks, random forests, artificial neural networks, linear regression, ridge and lasso regressions, elastic net, support vector machines, decision trees, gradient boosting machines, k-nearest neighbors, light gradient boosting machines, extreme gradient boosting, CatBoost, and Gaussian process, to build predictive models. …”
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Petrogenetic and mineralogical constraints in metamorphic-plutonic complex of N-Bijar, Kordestan, Iran by Maryam Bafandeh, Abbas Asiabanha, Mohsen Nadrabady

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A Guidance Framework for Resolving Problems of Credit Card Churn Detection Systems by Fehim Altınışık, Ahmet Sayar

“…The data manipulation and pre-processing framework proposed in this study is applicable to both real and synthetic banking data. …”
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Digital transformation and research infrastructures by Stefan Gelfgren, Coppélie Cocq

“…This interview-based qualitative study focuses on how researchers responsible for large-scale population-based research infrastructure view the opportunities and dilemmas in play in the intersection between data and personal privacy. The objective is to look beyond the glossy formulations of official strategy documents to see how the digital transformation (more specifically, data-driven research) is perceived from the active researcher’s point of view, and what the intellectual negotiation process is like. …”
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Analysing postprandial amino acid responses in crossover studies with the aaresponse package for R by Ron Wehrens, Jasper Engel, Jurriaan Mes, Aard de Jong, Diederik Esser

“…Such a process can be streamlined and made more objective and reproducible through bespoke software. …”
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Museums in Dispute: Artificial Intelligence, Digital Culture, and Critical Curation by Priscila Arantes

“…The second part explores the shift from temple-like museums to interface-museums, focusing on the analysis of practices such as digitization, immersive exhibitions, and gamification. …”
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Multi-Level Mining of Association Rules from Warehouse Schema by Muhammad Usman, Muhammad Usman

“…While techniques like data clustering have been implied on multidimensional data to enhance the knowledge discovery process still a number of issues remain unresolved related to the multidimensional schema design. …”
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Breeding of Solanaceous Crops Using AI: Machine Learning and Deep Learning Approaches—A Critical Review by Maria Gerakari, Anastasios Katsileros, Konstantina Kleftogianni, Eleni Tani, Penelope J. Bebeli, Vasileios Papasotiropoulos

“…By integrating big data analytics and omics, these methods enhance genomic selection (GS), support gene-editing technologies like CRISPR-Cas9, and accelerate crop breeding, thus enabling the development of resilient and adaptable crops. …”
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Study protocol for investigating racial disparities in pain care: a comprehensive integration of patient-level and provider-level mechanisms with dyadic communication processes usi... by Nao Hagiwara, Emily Rivet, Brian A Eiler, Christen Edwards, Nadia Harika, Shawn C T Jones, Amelia C Grover, Peter Mende-Siedlecki

“…One well-accepted operationalisation of such dyadic processes is behavioural coordination. We hypothesise that the pain of black patients continues to be undertreated because black patients are more likely than white patients to participate in racially discordant medical interactions (ie, seeing other-race providers) and experience disruptions in behavioural coordination. …”
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Large variability of nitrate load estimated from sparse measurements by typical methods in Atlantic Canada by Kang Liang, Kang Liang, Yefang Jiang, Keith Fuller, Marcos Cordeiro, Xuesong Zhang, Junyu Qi, Xiaoyuan Geng, Tao Liu, Qian Zhang, Mohammad Amir Azimi, Fan-Rui Meng

“…In contrast, nitrate load estimates obtained with the Soil and Water Assessment Tool (SWAT) were less sensitive to systematic data gaps. The results suggest that process-based models like SWAT can be a viable alternative for nitrate load estimation when limited data is available. …”
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Applying machine learning to high-dimensional proteomics datasets for the identification of Alzheimer’s disease biomarkers by Christoffer Ivarsson Orrelid, Oscar Rosberg, Sophia Weiner, Fredrik D. Johansson, Johan Gobom, Henrik Zetterberg, Newton Mwai, Lena Stempfle

“…This work underscores the importance of a meticulous machine learning process in enhancing biomarker discovery. Our study also provides insights in translating biomarkers from other central nervous system diseases like iNPH, and both ventricular and lumbar CSF samples for biomarker discovery, providing a foundation for future research and clinical applications.…”
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A Data‐Driven Epigenetic Characterization of Morning Fatigue Severity in Oncology Patients Receiving Chemotherapy: Associations With Epigenetic Age Acceleration, Blood Cell Types,... by Caroline Le, Maureen Lewis, Carolyn S. Harris, Liam Berger, Esther Chavez‐Iglesias, Lisa Morse, Anatol Sucher, Ritu Roy, Adam Olshen, Marilyn J. Hammer, Steve Paul, Margaret Wallhagen, Raymond Chan, Michael Sayer, Sue Yom, Nam‐Woo Cho, Alexandre Chan, Jon Levine, Anand Dhruva, Christine Miaskowski, Yvette P. Conley, Kord M. Kober

“…Given the numerous roles that epigenetic processes may play in the development and severity of fatigue, the purposes of this study were to (1) use a data‐driven discovery approach to evaluate for mechanisms underlying morning fatigue in a group of oncology patients receiving chemotherapy and (2) identify common biological mechanisms associated with morning fatigue severity across these independent epigenetic evaluations. …”
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Impact of INSAT‐3D land surface temperature assimilation via simplified extended Kalman filter‐based land data assimilation system on forecasting of surface fields over India by Abhishek Lodh, Ashish Routray, Devajyoti Dutta, Vivek Singh, John. P. George

“…The primary research goal in this research work undertaken is to assess the impact of assimilation of LT data from the Indian satellite (INSAT‐3D) into the NCMRWF global NWP model (NCUM) through a simplified Extended Kalman Filter (sEKF) land data assimilation system (LDAS), particularly important as there are few screen‐level observations over the region. …”
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Agora: A Distributed Language Model Framework With API-Call Support for Integrated Climate Forecasting by Alexandra Udrescu, Dan-Matei Popovici

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Investigating the Performance of Retrieval-Augmented Generation and Domain-Specific Fine-Tuning for the Development of AI-Driven Knowledge-Based Systems by Róbert Lakatos, Péter Pollner, András Hajdu, Tamás Joó

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Structural health monitoring based on three-dimensional point cloud technology: A systematic review by Yanzong Zhang, Guibo Nie, Duozhi Wang

“…It outlines the entire process, from data acquisition to modeling and visualization, and compares six core methods: geometric morphology analysis, multi-temporal differential analysis, feature extraction, mapping, machine learning, and deep learning. …”
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ECG and power line noise removal from respiratory EMG signal using adaptive filters by OICC Press Authors

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Effect of Customer Name on Brand Choices: by Taku Togawa, Yuriko Isoda, Ryo Suzuki, Naoto Onzo

“…An analysis of actual purchase data concerning OTC stomach medicine named Ohta’s Isan (太田胃酸) revealed that consumers whose name letters match those in the brand name (太田), both in pronunciation and kanji spelling, are more likely to purchase the medicine than consumers whose name is pronounced the same but is written in different kanji spellings (大田and 多田), or consumers whose name shares neither the kanji spelling nor the pronunciation.…”
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Attribution of Academic Contributions to Multiple Scientific Outputs from an Open Science Perspective by Leilei KOU

“…From the perspective of the creation process of scientific research outputs, research on the attribution of scientific contributions is carried out, focusing on three aspects: the identification of contributors and contribution elements, the calculation of the degree of contribution, and the representation of contribution data. …”
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