Using global trade data to identify priorities for agarwood conservation and trade management by Kwok-wai Lai, Huarong Zhang, Feng Yang, Stephan W. Gale

“…Global agarwood trade is a multibillion-dollar business, but little is known about its sustainability or conservation implications. We studied the trade using data in CITES (Convention on International Trade in Endangered Species of Wild Fauna and Flora) and customs records from 2010 to 2020. …”
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A deep learning framework for instrument-to-instrument translation of solar observation data by R. Jarolim, A. M. Veronig, W. Pötzi, T. Podladchikova

“…In general, these improvements have only implications forward in time, while previous observations do not benefit from this trend, and the joint use of data sets from different instruments is typically limited by differences in calibration and quality. …”
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Privacy concerns and avoidance behaviour towards data-driven online behavioural advertising by Shradha Jain, H.C. Purohit

“…On the other hand, the perceived benefit was not found significant in influencing privacy concerns for OBA. Practical implications – The present study is one of the initial attempts to understand the level of knowledge Indian consumers hold about OBA and how they evaluate and respond to these data-driven forms of advertising. …”
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Big data thinking of top executives and corporate innovation: based on machine learning by Xuesong Tang, Qiang Liao, Wen Li, Wang Liao

“…This research extends the investigation into economic consequences of big data development from a cognitive perspective, provides empirical evidence for stimulating corporate innovation potential, and offers policy implications for promoting high-quality economic development.…”
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Data-driven protease engineering by DNA-recording and epistasis-aware machine learning by Lukas Huber, Tim Kucera, Simon Höllerer, Karsten Borgwardt, Sven Panke, Markus Jeschek

“…This predicament is mainly rooted in a lack of experimental methods capable of recording sequence-activity data in quantities sufficient for data-intensive ML techniques, and the inefficiency of searches in the enormous sequence spaces inherent to proteins. …”
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A novel region based neighbors searching classification algorithm for big data by Rajib Kumar Halder, Mohammed Nasir Uddin, Md Ashraf Uddin

“…This research presents a compelling advancement in classification algorithms, with practical implications across domains such as healthcare, agriculture, and environmental intelligence.…”
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Data simulation to optimize frameworks for genome-wide association studies in diverse populations by Jacquiline W. Mugo, Nicola Mulder, Emile R. Chimusa

“…We use the results to discuss optimized frameworks for the analysis of GWAS data in diverse populations. Finally, we outline the implications, challenges, and opportunities these studies present for populations of non-European descent.…”
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PRODUCTION EFFICIENCY: ROLE OF DECISION MAKING FACTORS, BIG DATA AND PREDICTIVE ANALYTICS by Mohanad Mohammed Sufyan Ghaleb, Sanjar Mirzaliev

“…A quantitative approach was employed, collecting data from 283 productions, line, and shift managers, as well as engineers working in manufacturing industry. …”
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Big data and personal information privacy in developing countries: insights from Kenya by Johnson Masinde, Franklin Mugambi, Daniel Wambiri Muthee

“…The present study examined the correlation between big data and personal information privacy in Kenya, a developing nation which has experienced a significant rise in utilization of data in the recent past. …”
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Forecasting sports-related injuries using wearable devices and data analysis methods by Balnur Kenjayeva, Moldir Kizdarbekova, Mirambek Murzabekov

“…Keywords: wearable technology, athlete injury prevention, real-time data monitoring, sports science, biomechanical data analysis, micro injuries, severe injuries, personalized training adjustments. …”
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The BeeBiome data portal provides easy access to bee microbiome information by Valentine Rech de Laval, Benjamin Dainat, Philippe Engel, Marc Robinson-Rechavi

“…Abstract Bees can be colonized by a large diversity of microbes, including beneficial gut symbionts and detrimental pathogens, with implications for bee health. Over the last few years, researchers around the world have collected a huge amount of genomic and transcriptomic data about the composition, genomic content, and gene expression of bee-associated microbial communities. …”
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Federated services: smart service paradigm based on distributed data co-governance by JIA Xiaofeng, QIN Rui, WANG Shouwen, QI Hongwei, WANG Fei-Yue, LI Juanjuan, ZHANG Min, LIANG Xiaolong

“…The federated services proposed in this paper holds significant implications for constructing a smart service paradigm based on distributed data co-governance.…”
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CHALLENGES AND OPPORTUNITIES IN THE IMPLEMENTATION OF BIG DATA ANALYTICS IN MANAGEMENT INFORMATION SYSTEMS IN BANGLADESH by Golam Mustafa, MD. Nurullah Rabbani, Avishek Nath, Md Mehedi Hasan Emon

“…This study aims to investigate the challenges and opportunities associated with the integration of Big Data Analytics (BDA) within Management Information Systems (MIS) in the context of Bangladesh, a developing economy with distinct characteristics. …”
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Data-driven network intrusion detection using optimized machine learning algorithms by Dauda Adeite Adenusi, Oladosu Oyebisi Oladimeji, Theopilus Adekunle Oyekola, Korede Solomon Olagunju

“…The research investigates the impact of data preprocessing techniques, including data balancing and duplicate removal, on detection performance. …”
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Data-related risks for the use of machine learning in retail customer demand forecasting by Lee-Ann Pietersen, Riaan J. Rudman

“…Purpose: The use of machine learning in customer demand forecasting is reliant on quality data sources. Data should be governed and managed appropriately to ensure that customer demand forecasting is accurate. …”
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Tracking wildfire risk to California railroads: integrating environmental data and railway operations by Karl Kim, Daniele Spirandelli, David Rother, Eric Yamashita, Michelle Toner

“…Climatic change and wildfire risk have direct implications for the railway industry. Wildfires pose risks to railways in areas with steep topography, sufficient fuels to sustain fire, and meteorological conditions that can ignite large fires. …”
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Temporal multimorbidity patterns and cluster identification: a longitudinal analysis of administrative data by Jennifer K. Ferris, Brandon Wagar, Alex Choi, Jonathan Simkin, Hind Sbihi, Kari Harder, Kate Smolina

“…Methods Here, we analyzed multimorbidity patterns using linked administrative data from a longitudinal cohort of 1,347,820 individuals with multimorbidity over 20 years in British Columbia, Canada. …”
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GIG ECONOMY: THE FUTURE OF WORK OR THE ILLUSION OF FREEDOM? A DATA-DRIVEN ANALYSIS by Roxana HATOS, Nicoleta-Georgeta BUGNAR, Andreea-Florina FORA

“…However, it also contributes to the erosion of job security, weakens collective bargaining power, and increases income volatility—raising critical questions about its macroeconomic and distributive implications. Methodologically, the paper combines theoretical analysis—grounded in Dual Labor Market Theory, Agency Theory, and the concept of the precariat—with a bibliometric mapping of global research trends using VOSviewer and empirical data from international economic institutions. …”
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Data Ownership and Privacy in Dairy Farming: Insights from U.S. and Global Perspectives by Richard Barton, Javier Burchard, Victor E. Cabrera, David Cook, Walter Cooley, Roger Cue, Liliana Fadul, Jay Mattison, Amit Saha

“…This commentary paper delves into the complexities and implications of data management in the dairy industry, informed by insights from a multidisciplinary group of stakeholders. …”
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HR data analytics and evidence based practice as a strategic business partner by B.S. Patil, M.R. Suji Raga Priya

“…Research limitations/implications – Data analytics has grown rapidly and might make HRM practices faster, more efficient and data-driven. …”
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