Development of a Mitochondrial Permeability Transition‐Driven Necrosis‐Related Prognostic Signature in Cervical Cancer: Integrating Bulk Transcriptomic and Single‐Cell Data by Jiaojiao Niu, Sreenivasan Sasidharan

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Development of a Cocreated Decision Aid for Patients With Depression—Combining Data-Driven Prediction With Patients’ and Clinicians’ Needs and Perspectives: Mixed Methods Study... by Kaying Kan, Frederike Jörg, Klaas J Wardenaar, Frank J Blaauw, Maarten F Brilman, Ellen Visser, Dennis Raven, Dwayne Meijnckens, Erik Buskens, Danielle C Cath, Bennard Doornbos, Robert A Schoevers, Talitha L Feenstra

“…Data collection, analyses, and tool development occurred between 2017 and 2021 using a mixed methods approach. …”
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Development and validation of a nomogram for predicting histologic subtypes of subpleural non-small cell lung cancer using ultrasound parameters and clinical data by Feng Mao, Feng Mao, Mengjun Shen, Yi Zhang, Hongwei Chen, Yang Cong, Huiming Zhu, Chunhong Tang, Shengmin Zhang, Yin Wang

“…AimsTo develop and validate an individualized nomogram for differentiating the histologic subtypes (adenocarcinoma and squamous cell carcinoma) of subpleural non-small cell lung cancer (NSCLC) based on ultrasound parameters and clinical data.MethodsThis study was conducted retrospectively between March 2018 and December 2019. …”
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Enhancing software development effort estimation with a cloud-based data framework using use case points, fuzzy logic, and machine learning by Ritu, Pankaj Bhambri

“…In the end, reports and comparative analysis are generated using a business intelligence tool based on different properties in the repository data.…”
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The battle against rural poverty and other challenges of development: Empirical analysis of women empowerment programme of Justice, Development and Peace Movement (JDPM) in Osun St... by Helen Faborode, Titus Olugbenga Alao

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Development and Validation of a Machine Learning Model for Early Prediction of Delirium in Intensive Care Units Using Continuous Physiological Data: Retrospective Study by Chanmin Park, Changho Han, Su Kyeong Jang, Hyungjun Kim, Sora Kim, Byung Hee Kang, Kyoungwon Jung, Dukyong Yoon

“…ObjectiveWe aimed to create a novel machine learning model for delirium prediction in ICU patients using only continuous physiological data. MethodsWe developed models integrating routinely available clinical data, such as age, sex, and patient monitoring device outputs, to ensure practicality and adaptability in diverse clinical settings. …”
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Flipping data on its head: Differing conceptualisations of data and the implications for actioning Indigenous data sovereignty principles by Stephanie Cunningham-Reimann, Aarti Doshi, Sterling Stutz, Gabriel B. Tjong, Angela Mashford-Pringle

“…Research should be co-developed, co-led, and co-disseminated in partnership with Indigenous Peoples, communities, organisations and/or nations to build capacity, support self-determination, and reduce harms produced through the analysis and dissemination of research findings. …”
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Statistical Analysis Method for Optimal Prameters of Telemetry Communication by XIE Jun, WU Sailong, HAO Hang, ZHANG Songwei, WU Ruiqing, SUN Xiangyang

“…The paper proposes a statistical analysis-based optimization method for communication parameters of TLWD, utilizing massive measured data from downhole telemetry. …”
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Transitioning to green energy: Assessing environmental development and sustainability in the Saudi Arabia by Yiqian Zhou, Yuyan Wang, Yuheng Wu, Tianqi Wang, Siqi Wang, Xingyao Zhou, Muhammad Imran, Nawal Khan, Mubashir Bilal

“…This study evaluates the relationship between green energy development and environmental sustainability across Gulf countries, with a focus on Saudi Arabia, using data spanning 1990 to 2023. …”
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Employing sentinel-2 time-series and noisy data quality control enhance crop classification in arid environments: A comparison of machine learning and deep learning methods by Zahra Mohammadi Mobarakeh, Saeid Pourmanafi, Mohsen Ahmadi

“…In this study, we employed a novel hybrid approach, integrating time-series analysis, noisy data quality control, and different machine learning and deep learning models to classify croplands of complex multi-crop systems in central Iran. …”
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The pathways to lean manufacturing for circular economy: Implications for sustainable development goals by Sheak Salman, Hasin Md. Muhtasim Taqi, S.M. Shafaat Akhter Nur, Usama Awan, Syed Mithun Ali

“…Design/methodology/approach – The authors used a mixed-method approach, combining empirical survey data with literature reviews to pinpoint key LM barriers. …”
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Role of preliminary registry data in development of a clinical trial for an innovative device: a small but integral piece of a health policy initiative by Donald R. Ricci, Joost de Vries, Raphael Blanc

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Analyzing the Development of Scientific Research in the Field of Digital Transformations by Bondarenko Dmytro V., Khaustov Mykyta M., Kalashnikova Kateryna Yu.

“…The article is devoted to determining the state and tendencies in the development of scientific research in the field of digital transformations using the tools of bibliometric analysis. …”
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Analytical techniques and software for the study of intragroup metric variation using principal component analysis by Andrej Alexeevich Evteev, Nikolai Evgenievich Staroverov, Nikolai Nikolaevich Potrakhov

“…We revisited the classic study design based on a comparison between the samples from Berg, Zalavar and Oslo from the W.W. Howells craniometric data set. Fourteen mid-facial dimensions were chosen for the analysis. …”
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Indonesian Nursing Educators’ Experiences with Developing Student-Centered Learning Methods by Vigdis Abrahamsen Grøndahl, Kirsti Lauvli Andersen, Ann Karin Helgesen, Asniar Asniar, Randi Martinsen, Riza Septiani, Dharina Baharuddin, Signe Rasch Woersaa, Anna Willman, Liv Berit Olsen

“…Data were collected between January and November 2022 and analyzed using qualitative content analysis. …”
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Development of a data-driven urban immunity assessment model: providing a new benchmark for urban governance under public health emergencies by Peng Cui, Peng Cui, Saiya Cao, Ruize Qin, Fan Zhang

“…However, they fall short in cross-system and multi-agent coordination mechanisms, as well as data-driven intelligent optimization. Therefore, this project draws inspiration from the principles of the human immune system, introduces the concept of urban immunity to characterize the level of urban governance under PHEs, and follows the approach of “feature decoding → mechanism analysis → spatiotemporal measurement → trend prediction → model optimization → decision output.” …”
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Cross-survey Image Transformation: Enhancing SDSS and DECaLS Images to Near-HSC Quality for Advanced Astronomical Analysis by Zhijian Luo, Shaohua Zhang, Jianzhen Chen, Zhu Chen, Liping Fu, Hubing Xiao, Wei Du, Chenggang Shu

“…Our research is expected to provide significant technical support for astronomical data analysis, cross-survey image integration, and high-precision astrometry.…”
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Model Identification and Transferability Analysis for Vehicle-to-Grid Aggregate Available Capacity Prediction Based on Origin–Destination Mobility Data by Luca Patanè, Francesca Sapuppo, Gabriele Rinaldi, Antonio Comi, Giuseppe Napoli, Maria Gabriella Xibilia

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Development of risk prediction equations for 5-year diabetes incidence using Japanese health check-up data: a retrospective cohort study by Satoshi Yamaguchi, Mitsuru Ohishi, Koji Higuchi, Takuro Kubozono, Shin Kawasoe, Satoko Ojima, Hironori Miyahara, Koichi Tokushige, Masaaki Miyata

“…Objectives This study aimed to develop risk prediction equations for the 5-year incidence of diabetes among the Japanese population using health check-up data. …”
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Assessing Impacts of Hydropower Development on Downstream Inundation Using a Hybrid Modeling Framework Integrating Satellite Data‐Driven and Process‐Based Models by Son K. Do, Tien L. T. Du, Hyongki Lee, Chi‐Hung Chang, Duong D. Bui, Ngoc T. Nguyen, Kel N. Markert, Johan Strömqvist, Peeranan Towashiraporn, Stephen E. Darby, Linh K. Bui

“…This study proposes a novel hybrid framework integrating satellite data‐driven Forecasting Inundation Extents using REOF (Rotated Empirical Orthogonal Function) analysis (FIER), and the process‐based Hydrological Predictions for the Environment (HYPE) model incorporating the Integrated Reservoir Operation Scheme (IROS). …”
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