Long-term analysis of land cover changes resulting from mining activities: Strzelin case study (S–W Poland) by K. Romańczukiewicz, J. Górniak-Zimroz

“…To achieve this, a methodological framework was developed that combines historical cartographic sources with geospatial data, enabling a reconstruction of post-mining land transformations. …”
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BIBLIOMETRIC ANALYSIS OF THE MAP OF THE DEVELOPMENT AND INFLUENCE OF THE PHENOMENON OF STREET CRIME (1966-2023) FROM THE PERSPECTIVE OF ISLAMIC LAW by Fernanada Monica Putri, Muthoifin Muthoifin

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Monitoring Vertical Urban Growth in Rapidly Developing Cities with Persistent Scatterer Interferometry: A Multi-Temporal Assessment with COSMO-SkyMed Data in Wuhan, China by Zeeshan Afzal, Timo Balz, Francesca Cigna, Deodato Tapete

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Data on Brazilian Powdered Milk Formulations for Infants of Various Age Groups: 0–6 Months, 6–12 Months, and 12–36 Months by Francisco José Mendes dos Reis, Antonio Marcos Jacques Barbosa, Elaine Silva de Pádua Melo, Marta Aratuza Pereira Ancel, Rita de Cássia Avellaneda Guimarães, Priscila Aiko Hiane, Flavio Santana Michels, Daniele Bogo, Karine de Cássia Freitas Gielow, Diego Azevedo Zoccal Garcia, Geovanna Vilalva Freire, João Batista Gomes de Souza, Valter Aragão do Nascimento

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Building functional and sustainable pharmacovigilance systems: an analysis of pharmacovigilance development across high-, middle- and low-income countries by Olga Menang, Peter van Eeuwijk, Karen Maigetter, Andrea de Soyres-Kuemmerle, Edinam Agbenu, Christian Burri

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Cluster analysis of Russian Federation subjects by socioeconomic indicators characterizing potential for development of the secondary vocational education system by Pavel I. Samtsevich, Sergey G. Yankov, Elena V. Kornilova

“…The methodology of the study involved reducing the dimensionality of the data using principal component analysis. Clusterization was carried out by the k-means method. …”
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Development of an artificial intelligence system to identify hypoglycaemia via ECG in adults with type 1 diabetes: protocol for data collection under controlled and free-living con... by Martin O Weickert, Thomas M Barber, Owain Cisuelo, Katy Stokes, Iyabosola B Oronti, Muhammad Salman Haleem, Leandro Pecchia, John Hattersley

“…This protocol provides a methodological description of an observational study for obtaining physiological data from people with T1DM. The aim of this work is to further improve the previously developed AI model and validate its performance for glycaemic event detection in people with T1DM. …”
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Organ Donation Conversations on X and Development of the OrgReach Social Media Marketing Strategy: Social Network Analysis by Wasim Ahmed, Mariann Hardey, Josep Vidal-Alaball

“…ConclusionsThe study highlights the crucial role of analyzing social media data by drawing upon social networks and topic analysis to understand influence and network communication patterns. …”
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Development and performance of female breast cancer incidence risk prediction models: a systematic review and meta-analysis by Liyuan Liu, Peng Zhou, Lijuan Hou, Chunyu Kao, Ziyu Zhang, Di Wang, Lixiang Yu, Fei Wang, Yongjiu Wang, Zhigang Yu

“…This systematic review and meta-analysis compare the accuracy of traditional statistical models and machine learning models in breast cancer risk prediction.Methods A total of 144 studies from 27 countries were systematically reviewed, incorporating genetic, clinical, and imaging data. …”
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Competence, Motivation and Employee Performance at Baitul Maal Wa Tamwil: Influence Analysis and Recommendations for Human Resource Development by Muhammad ‘Isa Gautama, Puji Solikhah, Baharuddin Baharuddin

“…Respondents in this study were 50 permanent employees of BMT Tamzis Yogyakarta Area, with the variables studied including competence, motivation, and performance. Data collection techniques were carried out using a questionnaire, and data analysis was carried out using the Partial Least Squares (PLS) method. …”
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Explainable machine learning-driven models for predicting Parkinson’s disease and its prognosis: obesity patterns associations and models development using NHANES 1999–2018 data... by Jiaxin Fan, Shuai Cao, Hang Peng, Yuanjie Zhi, Shuqin Zhan, Rui Li

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Network analysis reveals causal relationships among individual background risk factors leading to influenza susceptibility by Akihide Terada, Kenji Fujimoto, Kazuyoshi Kise, Kenta Fujiwara, Eiichiro Uchino, Yutaka Mizuma, Yoshinori Nishioku, Kenzo Takahashi, Ken Itoh, Tatsuya Mikami, Koichi Murashita, Shigeyuki Nakaji, Yukihiro Fujita, Yasushi Okuno, Yoshinori Tamada

“…Thus, our network-based analysis may contribute to the development of personalized disease prevention and treatment approaches.…”
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Virology research in a Latin American developing country: a bibliometric analysis of virology in Colombia (2000–2013) by Julian Ruiz-Saenz, Marlen Martinez-Gutierrez

“…Conclusions: This study provides data for use in research, health planning, and policy analysis as it relates to virology in Colombia and other developing Latin American countries. …”
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Impact of pellet binder on feed quality, broiler performance, carcass yield, and organ development: A Meta-Analysis by Muhammad Ridla, Dwi Robiatul Adawiyah, Nahrowi Nahrowi, Sukarman -

“… This meta-analysis aimed to evaluate the inclusion of pellet binders on pellet quality and broiler performance, including growth metrics and organ development. …”
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Development and Validation of a Dynamic Real-Time Risk Prediction Model for Intensive Care Units Patients Based on Longitudinal Irregular Data: Multicenter Retrospective Study by Zhuo Zheng, Jiawei Luo, Yingchao Zhu, Lei Du, Lan Lan, Xiaobo Zhou, Xiaoyan Yang, Shixin Huang

“…ObjectiveWe aimed to develop a real-time, interpretable risk prediction model that continuously assesses ICU patient mortality using irregular, longitudinal EMR data, with improved performance and generalizability over traditional static scoring systems. …”
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EST–SSR Marker Development and Full-Length Transcriptome Sequence Analysis of Tiger Lily (Lilium lancifolium Thunb) by Mingwei Sun, Yilian Zhao, Xiaobin Shao, Jintao Ge, Xueyan Tang, Pengbo Zhu, Jiangying Wang, Tongli Zhao

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Analysis of Science Education Students' Self-Efficacy in Developing Learning Products Through the Project-Based Learning Model by Gunawan Gunawan, Lovy Herayanti, Fuad Tamami

“…The Project-Based Learning (PjBL) model offers the potential to develop this competency, yet its impact on the self-efficacy of postgraduate students requires in-depth analysis. …”
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Decoding healthcare resilience for sustainable development goal 3: A machine learning analysis of global health systems by Ibrahim Alnafrah, Alexander Poroshin

“…This study addresses this gap by developing and applying an integrated machine learning framework to global panel data (217 countries, 2000–2019) across economic, health, and environmental dimensions. …”
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A Newly Developed Compressed Air Cannon Test Bench Designed for Multi-Impact Analysis of Composite Structures by Ayoub Soufri, Ameur Chettah, Benoît Piezel, Christophe Bouvet

“…Key components such as the pressurized air system, projectile launch mechanism, target mounting arrangement, and data acquisition system are discussed. Experimental methodologies for assessing multi-impact response, specimen preparation, instrumentation, and data analysis techniques are outlined. …”
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Strategic Alignment of Technological Innovation for Sustainable Development: Efficiency Evaluation and Spatial Analysis in China’s Advanced Manufacturing Industry by Zhenghan Chen, Quan Zhang, Tianzhen Tang, Mingran Deng

“…In order to address the understudied connection between regional coordination and industrial structural transformation, this study examines the spatial dynamics of technological innovation efficiency (TIE) in China’s advanced manufacturing industry (AMI) along the Yangtze River Economic Belt (YREB) from 2007 to 2022. Through a Data Envelopment Analysis (DEA) and Spatial Durbin Model (SDM), we systematically evaluated TIE patterns using panel data from 11 provinces. …”
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