Understanding Recruiters’ Acceptance of Artificial Intelligence: Insights from the Technology Acceptance Model by Filomena Almeida, Ana Junça Silva, Sara L. Lopes, Isabel Braz

“…In this regard, the application of Artificial Intelligence (AI) in recruitment processes facilitates faster and more accurate decision-making by processing large volumes of data, minimizing human bias, and offering personalized recommendations to enhance talent development and candidate selection. …”
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Improving Government's Approach to Community Transformation through Agriculture-Driven Initiatives: A Case Study of NAADS in Uganda 2001 - 2025 by Mpirirwe, Jedras, Mucunguzi, Abel, Nabimanya, Boaz

“…The study employed a descriptive research design using both quantitative and qualitative methods by collecting data from key stakeholders including NAADS officials, district technocrats, and tea factory/SME owners in the Greater Bushenyi region. …”
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Real-Time, Risk-Based Clinical Trial Quality Management in China: Development of a Digital Monitoring Platform by Min Jiang, Shuhua Zhao, Yun Mei, Zhiying Fu, Yannan Yuan, Jie Ai, Yuan Sheng, Ying Gong, Jingjing Chen

“…MethodsLeveraging the risk-based quality management mindset, we built a digital dynamic monitoring platform by using big data analysis and automatic quantitative technology. …”
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Dynamics of educational activity of students under the influence of digitalisation by D. Yu. Narkhov, E. N. Narkhova, D. V. Shkurin

“…A mixed survey was carried out through a representative quota-target sample using traditional and electronic forms, implemented on the CAWI (Computer Assisted Web Interview) platform. Data processing was implemented using the VORTEX application package. …”
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Evaluation of Digital Technology Management in Mathematics Learning by Muh. Fitrah, Caly Setiawan, Widihastuti, Yudince Marinding, Herianto

“…Data collection instruments included questionnaires, structured interviews, and non-participant observations, with quantitative data analyzed using Jamovi 2.4.8.0 software, and qualitative data manually coded and thematically analyzed using an inductive-deductive approach. …”
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Hyperuricemia suppresses lumican, exacerbating adverse remodeling after myocardial infarction by promoting fibroblast phenotype transition by Zehao Zhuang, Ao Liu, Jinghong Zhang, Shuangjian Han, Lu Tang, Tingting Yu, Yiping Shi, Hui Li, Heng Yang, Peiyuan Bai, Yanhua Tang

“…We conducted an enzyme-linked immunosorbent assay, histological detection, immunofluorescence, sequencing data processing, single-cell RNA-seq, and functional enrichment analysis. …”
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DeSPPNet: A Multiscale Deep Learning Model for Cardiac Segmentation by Elizar Elizar, Rusdha Muharar, Mohd Asyraf Zulkifley

“…Cardiac MRI allows medical practitioners to assess cardiac function accurately by providing comprehensive and quantitative information about the structure and function, hence making it an indispensable tool for monitoring the disease and treatment response. …”
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QTL-based dissection of three key quality attributes in maize using double haploid populations by Zitian He, Jianping Wang, Jianping Wang, Jialei Li, Jianwei Li, Lei Chen, Xiaolei Zhang, Xiaolei Zhang

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Summarizing Online Patient Conversations Using Generative Language Models: Experimental and Comparative Study by Rakhi Asokkumar Subjagouri Nair, Matthias Hartung, Philipp Heinisch, Janik Jaskolski, Cornelius Starke-Knäusel, Susana Veríssimo, David Maria Schmidt, Philipp Cimiano

“…However, current methods rely either on manual analysis and do not scale, or on automatic processing, yielding mainly quantitative insights. Methods that can automatically summarize texts and yield qualitative insights at scale are missing. …”
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The Implementation of Kindergarten Program in Multicultural Schools in Agusan Provinces, Philippines by Teresita Tranquilan

“…Data were analyzed using mean for quantitative and thematic analysis for qualitative. …”
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Long COVID Mechanisms, Microvascular Effects, and Evaluation Based on Incidence by Aristotle G. Koutsiaris, Kostas Karakousis

“…This report provides a brief overview of these processes, focusing primarily on quantitative data, recently proposed mechanisms, and advances in microcirculation, with a special emphasis on the tissue blood supply reduction (TBSR or SR in short) mechanism. …”
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A multiscale classification of urban morphology by Patrick Michael Schirmer, Kay W. Axhausen

“…The question for the researcher is which attributes are most useful to reflect characteristics of urban morphology and how can they be processed from the given data. In this paper, we want to address this issue and give an overview of quantitative descriptions of urban morphology. …”
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Participatory Learning is Needed to Increase Family Independence in Handling Post-stroke Patients at Home by Ali Hamzah, Ihat Hatimah, Asep Saepudin, Joni Rahmat Pramudia, Khemaradee Masingboon

“…The data quantitative were analyzed using the percentage formula which is presented in the form of a frequency distribution table, meanwhile qualitative data were processed by data reduction, presentation, and drawing conclusions. …”
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Assessment of the Influence of Natural Conditions on the Accumulation of Human Capital in the Eastern Regions of the Russian Empire in the Late 19th — Early 20th Century by D. V. Didenko, E. S. Grishin

“…The processed data set was presented as a composition of cartographic materials. …”
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Evaluation of the Kirkpatrick Model Program at the Workshop on the Implementation of the Independent Curriculum of Luwu State Islamic High School by Abdul Zahir, Masluddin Masluddin

“…This study is an evaluation study with a mixed method approach using the Krikpatrick Model, where there are four levels measured, namely the reaction level, learning level, behavior level, and outcome level. Data in quantitative and qualitative forms were collected using questionnaires, interviews, observations, and documentation obtained from the Principal and Teachers of MAN Luwu which were then analyzed using descriptive quantitative (depicted numerically by displaying the amount and frequency of data) and descriptive qualitative (through the process of reduction, display, and drawing conclusions on data in the form of data, images, document, and behavior) data analysis techniques. …”
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The effects of mental games on third graders’ reading comprehension skills in Turkish classes by Yasemin Erdem, Bilge Gök

“…The study was conducted as a quasi-experimental pre-test/post-test control group design. The quantitative data were collected through the reading comprehension skill test. …”
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Designing an entrepreneurial ecosystem model in a university with a knowledge-based approach by Nahid Mir, Amin Rahimi Kia, Mehry Daraei

“…Data analysis was done using ATLAS TI software in the qualitative part, and partial least squares method in the SPSS and PLS software in the quantitative part, and factor analysis method was also used in data analysis. …”
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Learning evaluation of the study group of Packages C programme in Sragen Regency by Subar Junanto, Rugaya Tuanaya, Mila Faila Shofa, Muntaha Muntaha, Latifah Permatasari Fajrin

“…This evaluation research uses the EPPKC model, which consists of Process and Product aspects. This research uses a mixed method, a combination of quantitative and qualitative research using a descriptive approach. …”
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Moral injury, moral resilience, and organizational effectiveness among nurse leaders: a descriptive analysis during the COVID-19 pandemic by Alanna J. Bergman, Ginger C. Hanson, Christian Jenkins, Katie E. Nelson, Danielle Boyce, Cynda H. Rushton

“…Open-ended questions allowed participants to expand on topics of particular interest. Quantitative data were analyzed using ANCOVA models, qualitative data accompanies the quantitative results for descriptive elaboration. …”
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OPTIMIZING THE CONTROL OF TECHNICAL PERFORMANCE OF FOREHAND STROKE AMONG 12-YEAR OLD TENNIS PLAYERS USING MARTIN'S SIGMA METHOD by M. Chalakov

“…CONCLUSIONS: This assessment model for forehand performance provides reliable quantitative feedback for managing and optimizing the training process in tennis with young players.…”
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