Data-driven picosecond X-ray imaging for quantitative plasma-induced shock characterization by Christopher S. Campbell, Mirza Akhter, Samuel Clark, Kamel Fezzaa, David Staack, Zhehui Wang

“…Recent advances in fourth- and fifth-generation X-ray light sources allow for high-resolution imaging of fast phenomena, but limited beam time necessitates maximizing data acquisition. We present a benchtop-scale pulsed plasma device submerged in liquid heptane, capable of generating dynamic events at rates exceeding 10 Hz, supporting the field’s data-driven goals by producing large, high-quality imaging datasets. …”
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Initial data analysis for longitudinal studies to build a solid foundation for reproducible analysis. by Lara Lusa, Cécile Proust-Lima, Carsten O Schmidt, Katherine J Lee, Saskia le Cessie, Mark Baillie, Frank Lawrence, Marianne Huebner, TG3 of the STRATOS Initiative

“…Executing the IDA plan will result in an IDA report to inform data analysts about data properties and possible implications for the analysis plan-another element of the IDA framework. …”
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Ground data analysis for PM2.5 Prediction using predictive modeling techniques by Elham Nourmohammad, Yousef Rashidi

“…LSTM maintained reasonable performance amidst increased data input but faced challenges in both daily and monthly forecasts. …”
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An overview of big data analytics application in supply chain management published in 2010-2019 by Iman Ghalehkhondabi, Ehsan Ahmadi, Reza Maihami

“…Implications for theory and practice This review shows that the collected data by many companies can be analyzed using big data analytics methods to develop the business growth plan, market direction forecast, manufacturing process simulation, delivery optimization, inventory management, and marketing and sales processes, among many other activities in a supply chain. …”
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Analyzing large text data for vocabulary profiling in corpus-based studies of academic discourse by Ismail Xodabande, Mahmood Reza Atai, Mohammad R. Hashemi

“…The resulting vocabulary lists have significant implications for the design of curricula and educational resources, aiming to improve both the precision and effectiveness of language instruction in specialized academic settings. • Developed a scalable protocol for analyzing large text data for vocabulary profiling. • Applied advanced lexical analysis to a 278-million-word academic corpus. • The mid-frequency vocabulary list produced offers pedagogical value in academic discourse.…”
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Enhancing Quality Control of Packaging Product: A Six Sigma and Data Mining Approach by Resty Ayu Ramadhani, Rina Fitriana, Anik Nur Habyba, Yun-Chia Liang

“… Six Sigma is of paramount importance to organizations as it provides a structured and data-driven approach, fostering continuous improvement, minimizing defects, and optimizing processes to meet and exceed customer expectations. …”
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Porosity prediction of tight reservoir rock using well logging data and machine learning by Yawen He, Hongjun Zhang, Zhiyu Wu, Hongbo Zhang, Xin Zhang, Xiaojing Zhuo, Xiaoli Song, Sha Dai, Wei Dang

“…These findings suggest that the PSO-GBDT model has strong potential for improving porosity prediction in tight reservoirs, offering significant implications for future exploration and development efforts.…”
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Improved Dynamic Correction for Seismic Data Processing: Mitigating the Stretch Effect in NMO Correction by Pedro Cortes-Guerrero, Carlos Ortiz-Alemán, Jaime Urrutia-Fucugauchi, Sebastian Lopez-Juarez, Mauricio Gabriel Orozco-del Castillo, Mauricio Nava-Flores

“…Seismic data processing is essential in hydrocarbon exploration, with normal moveout (NMO) correction being a pivotal step in enhancing seismic signal quality. …”
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Business Open Big Data Analytics to Support Innovative Leadership and Management Decision in Canada by Nadia Delanoy, Karina Kasztelnik

“…Also, we discover the different existing support of big data analytics to make the rational business decision. …”
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Big Data and AI Algorithms for Sustainable Development Goals: A Topic Modeling Analysis by Prema Nedungadi, Simi Surendran, Kai-Yu Tang, Raghu Raman

“…These insights offer practical implications, reinforcing the potential of AI and big data to address global challenges sustainably while calling for balanced attention to ethical and regulatory dimensions.…”
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Road Crash Analysis and Modeling: A Systematic Review of Methods, Data, and Emerging Technologies by Lars Skaug, Mehrdad Nojoumian, Nolan Dang, Amy Yap

“…By providing a taxonomy of crash data analysis methodologies and discussing their strengths, limitations, and practical implications, this paper serves as a comprehensive reference for researchers and practitioners seeking to leverage crash data to advance road safety.…”
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A comparative study of forecasting methods using real-life econometric series data by Cláudia Eliane da Matta, Natália Maria Puggina Bianchesi, Milena Silva de Oliveira, Pedro Paulo Balestrassi, Fabiano Leal

“…On the other hand, the radial basis functions neural network model was unsuitable for econometric data. Implications for theory and practice This study contributes to a discussion about artificial neural networks and Gaussian process regression models for econometric forecasting. …”
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Winter Wheat Yield Prediction Based on the ASTGNN Model Coupled with Multi-Source Data by Zhicheng Ye, Xu Zhai, Tianlong She, Xiaoyan Liu, Yuanyuan Hong, Lihui Wang, Lili Zhang, Qiang Wang

“…The datasets used in this study included multiple types of remote sensing, meteorological, soil, crop yield, and planting area data for Anhui, China, from 2005 to 2020. The results showed that multi-source data led to higher prediction performance than single-source data, and enabled accurate prediction of winter wheat yields three months prior to harvest. …”
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Jellyfish and Ctenophores Around Gotland in the Baltic Sea—Local Data Contributing to Global Assessments by Florian Lüskow, Philipp Neitzel, Elizabeth R. Lawrence, Lina M. Nordlund

“…EOVs are an approach for globally usable data and adhere to Findable, Accessible, Interoperable, and Reusable (FAIR) data principles. …”
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Energy efficiency evaluation of construction projects using data envelopment analysis and Tobit regression by Muzaffar Iqbal, Junhai Ma, Zulqarnain Mushtaq, Naveed Ahmad, Muhammad Zain Yousaf, Bashar Tarawneh, Wajid Khan, Mukesh Pushkarna, Ievgen Zaitsev

“…This research introduces a novel, integrated approach combining Data Envelopment Analysis (DEA) and Tobit regression to evaluate and enhance EE in construction projects. …”
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Tracking the Ghosts of the Himalayas: Snow Leopard Conservation Insights From Satellite Collar Data by Pratistha Shrestha, Dayaram Pandey, Pemba Sherpa, Prakash Shah, Dipesh Kumar Sharma

“…Furthermore, this study provides reliable information on snow leopards from the telemetry data and links it to conservation implications in northeastern Nepal to ensure their long‐term survival, promote coexistence and foster cross‐border collaboration.…”
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Fitness of Multi-Resolution Remotely Sensed Data for Cadastral Mapping in Ekiti State, Nigeria by Israel Oluwaseun Taiwo, Matthew Olomolatan Ibitoye, Sunday Olukayode Oladejo, Mila Koeva

“…In developing nations, such as Ekiti State, Nigeria, the utilization of remotely sensed data, particularly satellite and UAV imagery, remains significantly underexploited in land administration. …”
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Semi-Overlap Functions on Complete Lattices, Semi-Θ-Ξ Functions, and Inflationary MTL Algebras by Xingna Zhang, Eunsuk Yang, Xiaohong Zhang

“…As new kinds of aggregation functions, overlap functions and semi overlap functions are widely applied to information fusion, approximation reasoning, data classification, decision science, etc. This paper extends the semi-overlap function on [0, 1] to the function on complete lattices and investigates the residual implication derived from it; then it explores the construction of a semi-overlap function on complete lattices and some fundamental properties. …”
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Tracking gas migration using reservoir PVT data as reality check for migration models by Khaled R. Arouri, Rainer Schmidt, Youness Elouair, Kadhem Nasser, Habib Tafsiri, Saleh A. Alqahtani

“…Findings have significant implications for targeting drier gas in stratigraphic and diagenetic traps along the deeper east, particularly where downdip faults meet migration pathways. …”
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Time resolution of wind speed data introduces errors in wind power density assessment by Xinrong Yang, Yiheng Tao, Yubin Jin, Bin Ye, Fan Ye, Weili Duan, Rongrong Xu, Zhenzhong Zeng

“…The findings offer valuable insights into wind speed data selection and accurate wind energy assessment, with implications for renewable energy planning and policy-making in the context of the global energy transition.…”
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