Shotgun metagenomics dataset of the core rhizo-microbiome of monoculture and soybean-precedent carrot by Olubukola Oluranti Babalola, Alaba Adewole Adebayo, Ben Jesuorsemwen Enagbonma

“…The findings provide insights into microbiome dynamics, with potential implications for sustainable agricultural practices.…”
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Balancing act: Europeans' privacy calculus and security concerns in online CSAM detection by Răzvan Rughiniş, Simona-Nicoleta Vulpe, Dinu Ţurcanu, Daniel Rosner

“…This study examines privacy calculus in online child sexual abuse material (CSAM) detection across Europe, using Flash Eurobarometer 532 data. Drawing on theories of structuration and risk society, we analyze how individual agency and institutional frameworks interact in shaping privacy attitudes in high-stakes digital scenarios. …”
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Comprehensive transcriptome of muscle development in Sichuan white rabbit by Xiangyu Zhang, Kai Zhang, Dengping Huang, Shangjun Yang, Min Zhang, Qin Yin

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Genome-wide DNA polymorphisms in two peatland adapted Coffea liberica varieties by Tisha Melia, Fatayat, Ninik Nihayatul Wahibah, Siti Fatonah, Dewi Indriyani Roslim, Arisman Adnan

“…Among the SNPs, there was a notable prevalence of transitions, with a ratio of approximately twofold compared to transversions. The generated data offers invaluable genomic resources for marker development, with significant implications for understanding peatlands adaptability.…”
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The impact of playlist characteristics on coherence in user-curated music playlists by Harald Schweiger, Emilia Parada-Cabaleiro, Markus Schedl

“…Abstract Music playlist creation is a crucial, yet not fully explored task in music data mining and music information retrieval. Previous studies have largely focused on investigating diversity, popularity, and serendipity of tracks in human- or machine-generated playlists. …”
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We know who wins: graph-oriented approaches of passing networks for predictive football match outcomes by Jinmo Lee, Eunil Park, Angel P. del Pobil

“…However, related studies to predict football match outcomes have focused on predicting them before the match starts, using measures from previous match data. Therefore, we propose a method to predict the outcome of an ongoing match at any time during the game as one of three classes: home win, away win, or draw. …”
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Meta-transformer: leveraging metaheuristic algorithms for agricultural commodity price forecasting by G. H. Harish Nayak, Md. Wasi Alam, B. Samuel Naik, B. S. Varshini, G. Avinash, Rajeev Ranjan Kumar, Mrinmoy Ray, K. N. Singh

“…The findings have significant implications for policymakers, market regulators, and farmers by supporting timely interventions, improving market transparency, and enabling data-driven decision-making.…”
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ADOPTION OF CLIMATE-SMART AGRICULTURAL PRACTICES: EMPIRICAL EVIDENCE AMONG VEGETABLE FARMERS IN BASSA, NIGERIA by Godfrey C. Onuwaa, Oludare Adediireb, Cletus Ajomac, Ganiyu Binuyoa

“…Adoption of climate-smart agricultural practices has several implications and benefits for sustainable agriculture. …”
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How does digitally enabled micro-finance promote income equality for the vulnerable in the expanded BRICS block during the pandemic? by Manoj Kumar M. V., Nasser Almuraqab, Immanuel Azaad Moonesar, Udo Christian Braendle, Ananth Rao, Ananth Rao

“…Our study uses inputs: Human Capital, Alternative Micro-finance, Digitization, Governance, and Entrepreneurship, GDP, inflation, population growth, pandemics, and economic crises using the global 2000–2022 to explain income equality using SWIID Gini disposable and market income index as outputs.MethodsThe study uses Principal component analysis for reducing data dimensionality and collinearity. The study uses OLS, Dynamic Mixed Model, and random forest tree, a machine learning technique, as models to model digitally enable micro-finance.ResultsRFT model diagnostics consistently were better than OLS and GMM. …”
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Dye-cleaning prediction with a variant of nature-inspired algorithms coupled with extreme gradient boosting by Tiyasha Tiyasha, Chijioke Elijah Onu, Mohamed A. Ismail, Rama Rao Karri, Abdelfattah Amari, Vinay Kumar, Suraj Kumar Bhagat

“…The results also revealed the importance of data preprocessing techniques in improving the structure and relationships within the data. …”
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Determinating clusters with a higher proportion of long-term care discharges from hospitals: a nationwide Portuguese study using clustering and decision tree methods by Ana Carreira, Diogo Martinho, Vítor Crista, Júlio Souza, Filipa Santos Martins, Goreti Marreiros, Alberto Freitas, João Vasco Santos

“…Methods This nationwide Portuguese study used inpatient data from Portuguese hospitals between 2012 and 2017. …”
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Analysis of global trends and hotspots of skin microbiome in acne: a bibliometric perspective by Lanfang Zhang, Yuan Cai, Lin Li, Jie Hu, Changsha Jia, Xu Kuang, Yi Zhou, Zhiai Lan, Chunyan Liu, Feng Jiang, Nana Sun, Ni Zeng

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Uncertainty bounds for long-term causal effects of perturbations in spatiotemporal systems by Kevin Debeire, Andreas Gerhardus, Renée Bichler, Jakob Runge, Veronika Eyring

“…We conduct a series of numerical experiments to evaluate the performance of various methods to estimate perturbation effects from data. Our second contribution is the derivation of the asymptotic properties of these estimators under suitable assumptions. …”
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Caring for the “Osteo-Cardiovascular Faller”: Associations between Multimorbidity and Fall Transitions among Middle-Aged and Older Chinese by Mingzhi Yu, Longbing Ren, Rui Yang, Yuling Jiang, Shijie Cui, Jingjing Wang, Shaojie Li, Yang Hu, Zhouwei Liu, Yifei Wu, Gongzi Zhang, Ye Peng, Lihai Zhang, Yao Yao

“…Background: It is still uncertain how multimorbidity patterns affect transitions between fall states among middle-aged and older Chinese. Methods: Data were obtained from China Health and Retirement Longitudinal Study (CHARLS) 2011–2018. …”
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Genome-wide identification, characterization and expression profiles of FORMIN gene family in cotton (Gossypium Raimondii L.) by Pollob Shing, Md Shohel Ul Islam, Mst. Sumaiya Khatun, Fatema Tuz Zohra, Naimul Hasan, Shaikh Mizanur Rahman, Md. Abdur Rauf Sarkar

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Microscopic Views on a Global Pandemic: Social and Cultural Effects of the Covid-19 Pandemic as Documented in Two Dutch Community Archives by Julia Noordegraaf, José Boon, Dora Vrhoci, Joost Dofferhoff, Pieter van der Molen, Nuala Vlogman, Tobias Blanke

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Haar Cascade Classifier and Adaboost Algorithm for Face Detection with the Viola-Jones Method by Mohammad Saichu Nidom

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Exploring the Landscape of Explainable Artificial Intelligence (XAI): A Systematic Review of Techniques and Applications by Sayda Umma Hamida, Mohammad Jabed Morshed Chowdhury, Narayan Ranjan Chakraborty, Kamanashis Biswas, Shahrab Khan Sami

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The Overlooked Genre of Calls-for-Papers: New Grounds to Study Shifts and Connections in Academic Discourse by Juan Pablo Albornoz

“…Using qualitative and quantitative methods, this paper describes the general nature of CfPs and the advantages and limitations of studying the collected data. Then, it discusses the possible applications and implications of studying CfPs as a genre, such as giving insights into the turns or shifts within academic discourse, both past and future.…”
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Whose Crisis? COVID-19 Explored through Arts and Cultural Practices of African Communities by Mia Perry, Dane Mathendele Armstrong, Bosco Exson Chinkonda, Richard Kagolobya, Rebecca Nthogo Lekoko, George Olusola Ajibade

“…This article frames and contextualises data from this project through an introduction to the background, contexts, and methods of a project designed to reflect the lived experiences of, perspectives on, and responses to COVID-19 in vulnerable communities across sub-Saharan Africa. …”
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