Impact of “Assessment and Accreditation” Process on Quality of Higher and Medical Education in India: A Systematic Review and Meta-analysis by Venkata Venu Gopala Raju Srijampana, Bodhi Srividya Vennam, Phanindra Dulipala, Rajesh Potti

“…Inclusion criteria were peer-reviewed articles and reports with empirical data on the subject. The selected studies were quantitatively synthesized, and statistical meta-analytical techniques were used to calculate overall effect sizes for various quality indicators such as faculty development, infrastructure, curriculum innovation, and research productivity. …”
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About standardization of L-lysinum 3-methyl-1,2,4-thiazolyl-5-thioacetate tablets by O. S. Bidnenko, L. I. Kucherenko, I. A. Mazur, G. I. Tkachenko

“…According to official data, it is the most common disease on the planet. …”
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Climate Change Risk, Performance, and Value Added in Agricultural Sector by Ramin Amani, Zanko Ghorbani, Zana Mozaffari

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POSSIBILITIES OF CARIES PROGNOSIS IN CHILDREN OF SCHOOL-AGE ACCORDING TO DATA GAINED FROM THEM AND THEIR PARENTS QUESTIONNAIRE by L.F. Kaskova, T.B. Mandziuk, L.P. Ulasevych, L.D. Korovina, M.A. Sadovski

“…In all children the caries intensity was determined according to the following indices of df, DEF and DEF + def. The quantitative indices obtained during the examination of patients were processed with standard methods of mathematical statistics. …”
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Novel Ceramic Clay Automatic Feeding System and Simulation Analysis by Xunchen Liu, Yilun Wang, Bo Mu, Hailin Wu, Lanxin Wang, Mingzhang Chen, Shanyue Guan

“…Precision sensors and data recording devices were used to monitor and record key data during the experimental process in real-time. …”
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The future of digitalized project practices through data-savvy talent: A digital competence formation perspective by Yan Liu, Ningshuang Zeng, Eleni Papadonikolaki, Kirk Maritshane, Paul W. Chan

“…Amidst the disruptive backdrop of the COVID-19 pandemic, organizations are navigating toward a new normal, leveraging digital technologies to reconfigure business processes and operational practices. This study delves into the transformative effects of digitalization on project management, with a focus on integrating data-savvy talent in a data-rich era. …”
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The Impact of Team-Based Learning on Anxiety Among Graduate Students in a Data Science Master's Program by Andrea Marques, Maria Anastasiadou, Roberto Henriques

“…Methods/Analysis: The study implemented TBL in a Data Science master's course for one semester, employing both qualitative and quantitative methods. …”
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Coupled Assessment of Land Use Changes and Ecological Benefits Using Multi-Source Remote Sensing Data by Jin Guo, Xiaojian Wei, Fuqing Zhang, Yubo Ding

“…This indicates that the imbalance in ecological functional spaces has intensified, affecting key ecological processes. (2) The quantitative analysis of the spatiotemporal evolution characteristics of the RSEI and ESI revealed contrasting trends: the RSEI decreased by 0.006, whereas the ESI showed a slight increase of 0.001. (3) The ranking of the driving factors indicated that the Normalized Difference Vegetation Index (NDVI) and the mean annual rainfall (MAP) were the primary factors driving ecological evolution, while the influence of economic driving factors was relatively weak. …”
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Urban ecological environment quality evaluation using deep autoencoder integration of multisource remote sensing data by Shengtang Wang, Weizhen Wang, Feinan Xu

“…To address challenges, we develop a novel deep autoencoder-based framework that integrates multi-source remote sensing data to evaluate UEEQ dynamics systematically and identify its key driving factors. …”
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Prediction of breast cancer Invasive Disease Events using transfer learning on clinical data as image-form. by Annarita Fanizzi, Samantha Bove, Maria Colomba Comes, Erika Francesca Di Benedetto, Agnese Latorre, Francesco Giotta, Annalisa Nardone, Alessandro Rizzo, Clara Soranno, Alfredo Zito, Raffaella Massafra

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The geological structures of the Pyrenees and their peripheral basins examined through EMAG2v2 magnetic data by Á. Gamisel-Muzás, Á. Gamisel-Muzás, R. Soto, C. Ayala, T. Mochales, F. M. Rubio, P. Clariana, C. Rey-Moral, J. Martín-León

“…The integration of reduced-to-the-pole and processed maps, as well as the Bouguer anomaly map with geological data, has proved to be significantly useful in order to shed light on the main anomaly sources. …”
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Detection and functional assessment of structural variants using whole-genome re-sequencing data in Nellore cattle by Natalia A. Marín-Garzón, Lucio F. M. Mota, Giovana Vargas, Leonardo M. Arikawa, Larissa F. S. Fonseca, Gerardo A. Fernandes Júnior, Roberto Carvalheiro, Lucia G. Albuquerque

“…Thus, this study aimed to detect structural variants using whole genome re-sequencing (WGS) data and identify positional candidate genes and quantitative trait loci (QTL) overlapping the most frequent SV regions in Nellore cattle. …”
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Modeling pine forest growing stock volume in subtropical regions of China using airborne Lidar data by Zige Lan, Xiandie Jiang, Guiying Li, Yagang Lu, Hongwen Yao, Dengsheng Lu

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Meta-analysis of muscle transcriptome data identifies key genes influencing intramuscular fat content in pigs by Yan Wang, Jiahao Wang, Yanhui Zhao, Xihui Sheng, Xiaolong Qi, Lei Zhou, Jianfeng Liu, Chuduan Wang, Jianliang Wu, Yongchun Cao, Kai Xing

“…Despite numerous transcriptomic studies on IMF, variations in sample sizes and data analysis methods have produced inconsistent gene expression patterns and results. …”
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Reducing Trade Document Processing Time Between Sri Lanka and its South Asian Neighbours by Applying Blockchain and Machine Learning Solutions by R. A. C. N. Rathnayake

“…This study investigates the potential of Blockchain (BC) and Machine Learning (ML) to reduce trade document processing time and improve trade efficiency. Using an explanatory sequence design, the research combines quantitative analysis of survey data with qualitative insights from case studies. …”
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Pathology of the Training Process for the Incident Command System Staff of Hospitals in Guilan Province, Iran, Based on the Three-pronged Approach by Arezou Porkar, Sadraddin Sattari, Mohammad Taghi Moghadamnia

“…The data collection tool was a semi-structured interview in the qualitative phase and a researcher-made questionnaire in the quantitative phase. …”
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The multiple mediation of market intelligence and competitive intelligence in enhancing the relationship between intelligent systems and processes and the competitiveness of start-... by Zighed Rahma, Ismail Bengana, Mekimah SABRI, Khaled Mili, Musaddag Elrayah

“…To achieve this, we employed a methodology that includes collecting and analyzing quantitative and qualitative data from a random sample of 357 start-ups in Algeria.The results indicate a statistically significant positive effect of 21.30 % between intelligent systems and processes and both market intelligence and competitive intelligence, thereby enhancing the competitive capacity of start-ups. …”
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Evaluating undergraduate nursing education and student competencies: a mixed-methods study using the input- process- output framework by Menevse Yildirim, Melek Sahin

“…Document analysis was used to examine qualitative data within the framework of the Input-Process-Outcome (IPO) model. …”
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Inferring the timing of individual mobility decisions from accommodation reservation data during the COVID-19 outbreak by Koichi Ito, Shunsuke Kanemitsu, Ryusuke Kimura, Ryosuke Omori

“…Furthermore, the comparison between the estimated decision-making process and mobility data quantitatively revealed that mobility was the result of integrating two types of decisions made in recent weeks (within two and five weeks for mobility to workplaces and places other than home or workplaces, respectively) and previous weeks.…”
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Data-driven stochastic 3D modeling of the nanoporous binder-conductive additive phase in battery cathodes by Phillip Gräfensteiner, Markus Osenberg, André Hilger, Nicole Bohn, Joachim R. Binder, Ingo Manke, Volker Schmidt, Matthias Neumann

“…In particular, we quantitatively study the influence of graphite particles on effective transport properties in the nanoporous binder-conductive additive phase, which have a crucial impact on electrochemical processes in the cathode and thus on the performance of battery cells.…”
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