Prognostic implications of the interaction between intratumoral microbiome and immune response in gastric cancer by Sifan Liu, Lingyu Qi, Lu Dong, Wenjing Sun, Siying Liu, Peng Li, Nan Zhang

“…ABSTRACT Gastric cancer (GC) prognosis is significantly influenced by intratumoral microbiomes, which modulate host–immune interactions. This study analyzed data from the The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases to identify immune genes associated with GC prognosis and conducted prognostic immune subtypes. …”
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Deep sequencing of 16 Ixodes ricinus ticks unveils insights into their interactions with endosymbionts by Paulina M. Lesiczka, Tal Azagi, Aleksandra I. Krawczyk, William T. Scott, Ron P. Dirks, Ladislav Simo, Gerhard Dobler, Bart Nijsse, Peter J. Schaap, Hein Sprong, Jasper J. Koehorst

“…By employing deep sequencing, it becomes feasible to extract complete genomes and genetic data of symbionts directly from their host organisms. …”
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An inter‐species protein–protein interaction network across vast evolutionary distance by Quan Zhong, Samuel J Pevzner, Tong Hao, Yang Wang, Roberto Mosca, Jörg Menche, Mikko Taipale, Murat Taşan, Changyu Fan, Xinping Yang, Patrick Haley, Ryan R Murray, Flora Mer, Fana Gebreab, Stanley Tam, Andrew MacWilliams, Amélie Dricot, Patrick Reichert, Balaji Santhanam, Lila Ghamsari, Michael A Calderwood, Thomas Rolland, Benoit Charloteaux, Susan Lindquist, Albert‐László Barabási, David E Hill, Patrick Aloy, Michael E Cusick, Yu Xia, Frederick P Roth, Marc Vidal

“…Here, we investigate these questions using an “inter‐interactome” approach. We systematically probed the yeast and human proteomes for interactions between proteins from these two species and functionally characterized the resulting inter‐interactome network. …”
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Estimating Import Lead Times Using Business Intelligence and Machine Learning Within the CRISP-DM Framework: A Case Study in Oil and Gas Services Industry by Mohamed Annis Souames, Larbi Abderrahmane Mohammedi, Iskander Zouaghi, Angappa Gunasekaran, Samia Beldjoudi, Abderrazak Laghouag

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Multidimensional frailty as a predictor of older adults’ internet use: moving beyond the use/non-use dichotomy by Jorrit Campens, Petrus te Braak, Myo Nyein Aung, Nico De Witte, on behalf of the Digital Ageing Consortium

“…Multinomial logistic regression and Chi-squared automatic interaction detection (CHAID) were conducted. Results: Regression analysis revealed that older adults with mild or high levels of physical frailty, as well as those with high levels of environmental frailty, were more likely to not use the internet. …”
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Advanced internet of things enhanced activity recognition for disability people using deep learning model with nature-inspired optimization algorithms by Mohammed Maray

“…Abstract Human activity recognition has complex applications because of its worldly use of acquisition devices, namely video cameras and smartphones, and its capability to take human activity data. …”
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Augmented and Virtual Reality for Improving Safety in Railway Infrastructure Monitoring and Maintenance by Marina Ricci, Nicola Mosca, Maria Di Summa

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Data-driven strategic decisions: Leveraging business analytics and big data to improve decision-making insights in the international organizations by Khaldoon Khawaldeh, Fawwaz Tawfiq Awamleh, Alaa M. Al-Momani

“…The study presented a theoretical development of the role of management in achieving mature visions based on big data that constitute solutions to the complex interactions between technology and human orientation, facilitating the organizational complexities supported by the digital age and transforming them in favor of business decisions in the organizational environment of business companies.…”
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Predicting User Purchases From Clickstream Data: A Comparative Analysis of Clickstream Data Representations and Machine Learning Models by A. Aylin Tokuc, Tamer Dag

“…Through comprehensive experimentation, we compared multiple machine learning models, including LightGBM, decision trees, gradient boosting, SVC, and logistic regression, using real-world e-commerce clickstream data. Notably, the hybrid representation with LightGBM achieved superior predictive performance, significantly outperforming alternative methods. …”
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Vortex-Induced Vibration Predictions of a Circular Cylinder Using an Efficient Pseudo-Time Code-Coupling Approach by Hang Li, Kivanc Ekici

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Trace of the effect of social innovation in patent data by D. P. Fedulkin, O. V. Cherchenko

“…A hypothesis has been put forward that the use of patent data characterizing individual results of scientific and technical activity allows us to identify scientific or scientific and technical projects and their results, which have become drivers of the growth of social innovations or social effects of innovation, which consist in expanding the boundaries of the previous scientific school of performers or creating new scientific school, or in expanding the boundaries of research. …”
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How regulatory orders and public fear affect vehicle mobility under COVID-19: A global perspective from urban overall vehicles using multi-source data. by Li Tang, Chuanli Tang, Hao Luo

“…A large-scale dataset with over 4 billion raw data from multiple sources was used for empirical analysis. …”
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Diversifying configurational paths for athlete data protection by Xinyan Guo, Xiaoyu Li, Mengqi Guo

“…They promote the safe use of sports data and the overall progress of the industry. …”
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THE CORRELATION BETWEEN PARENTING AND GADGET SCREEN TIME ON SOCIAL INTERACTION OF SCHOOL-AGE CHILDREN by Dhiajeng Widya Ningrum, Dadang Kusbiantoro, Sylvi Harmiardillah, Rahmat Agung Firmansyah, Fajar Suci Aristanto

“…The data were tabulated and analyzed using the Chi-square test. …”
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Exploring the interaction effect of poverty concentration and transit service on highway traffic during the COVID-19 lockdown by Tao Tao, Jason Cao

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Explaining the causes and motivations for multiple substance use from the perspectives of users and therapists: A qualitative study by Hassan Mokhtarpoor, Banafsheh Tehranineshat, Zeinab Naderi, Maryam Amirinia

“…Field notes were also taken to identify and explain the motivations and reasons for MSU from the perspectives of users and therapists. The data were analyzed comparatively and simultaneously using the method suggested by Graneheim and Lundman (2004). …”
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Association between plasma trans fatty acid levels and rheumatoid arthritis: a cross-sectional study using NHANES 1999–2000 and 2009–2010 data in US adults by Tanjian Li, Na Jiang, Xin Liang, Xinya Li, Yaqin Li, Yuting Huang, Yu Wang

“…Additionally, this study used restricted cubic spline curves to investigate the non-linear relationship between them.ResultsThis study included 2,938 patients, of whom 222 (7.56%) had RA. …”
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Exploring the interaction between ambient air pollution and road traffic noise on stroke incidence in ten Nordic cohorts by Huyen Nguyen Thi Khanh, Massimo Stafoggia, Mette Sørensen, Aslak Harbo Poulsen, Ole Raaschou-Nielsen, Jibran Khan, Jørgen Brandt, Anja Olsen, Zorana Jovanovic Andersen, Mette Kildevaeld Simonsen, Youn-Hee Lim, Jiawei Zhang, Thomas Cole-Hunter, Göran Pershagen, Andrei Pyko, Agneta Åkesson, Leonard Stockfelt, Eva M. Andersson, Mikael Ögren, David Segersson, Annika Rosengren, Anna Oudin, Maria Albin, Gunnar Engström, Susanna Gustafsson, Kristoffer Mattisson, Debora Rizzuto, Patrik KE Magnusson, Hrafnhildur Gudjonsdottir, Karin Leander, Timo Lanki, Pekka Tiittanen, Tarja Yli-Tuomi, Pekka Jousilahti, Petter Ljungman, Jeroen de Bont

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Dynamic Monitoring and Precision Fertilization Decision System for Agricultural Soil Nutrients Using UAV Remote Sensing and GIS by Xiaolong Chen, Hongfeng Zhang, Cora Un In Wong

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Optimisation of Data Management System: Development of Requirements by Zivitere Marga, Almar Nika

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