Improving Fiqh Learning Outcomes Through a Mind Mapping-Based Flipped Classroom by Pristian Hadi Putra, Uun Fauzanah Fitri, Adi Putra, Endah Silawati

“…The research sample consisted of 30 students divided into two classes: an experimental class that received the flipped classroom model based on mind mapping, and a control class that used a conventional teaching model. …”
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Identification and leveling of factors affecting the acceptance of excellence model in Islamic Azad University by Seyedeh Somayeh Mousavi Siah Deleh, Samad Jabbari Asl, Musa Rezvani Chaman Zamin

“…The first level of the excellence model includes general goals and in the next levels it is divided into quantitative and measurable scales. …”
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Cuproptosis-related lncRNA predicts prognosis and immune pathways in osteosarcoma patients by LIAO Jun, FENG Yanbin, XI Deshuang, ZONG Shaohui

“…Single-sample gene set enrichment analysis (ssGSEA) was utilized to explore the relationship between CRLs model scores and signaling pathways in OS. …”
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Catfish Budikdamber Business Development Strategy Using QSPM and MAUT Model in Bandar Kidul District, Kediri City by Asyifa Anandya, Dwi Sofiati, Pudji Purwanti, Mochammad Fattah, Gama Dian Nugroho, Yunita Erni Susanti

“…This study was executed from July to August 2024 employing a saturation sampling technique. Data were examined utilizing SWOT analysis, QSPM, and the MAUT model. …”
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Konseling ABCDE Seligman untuk Meningkatkan Optimisme Mahasiswa Pindah Jurusan by Eem Munawaroh, Binti Isrofin, Ulung Giri Sutikno

“…The purposes of This study was to examine the effectiveness of ABCDE counseling model to improve optimism of transfer students in Universitas Negeri Semarang. …”
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Stochastic spatiotemporal growth model reproducing the universal statistical laws of the gut microbiome by Rie Maskawa, Hideki Takayasu, Lena Takayasu, Wataru Suda, Misako Takayasu

“…By introducing coarse-grained time and spatial scales that reflect real-world sampling processes, the model provides a physical interpretation of the dynamic properties of the empirical data, including timescales and temporal stochasticity. …”
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Seasonal Frozen Soil Electrical Resistivity Estimation Based on Capillary Fractal Model by Lige Bai, Jing Li, Tieyu Liu, Zhenjiao Jiang, Deqiang Mao

“…By combining unified conceptual assumptions, we established the connection between electrical permeability and thermal conductivity, offering a basis for exploring coupled hydro‐thermal mechanisms in frozen soil. The proposed model accurately estimates the variations in seasonal frozen resistivity, providing a reliable reference for quantitatively analyzing the mechanisms of freeze‐thaw processes.…”
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Identification of biomarkers for knee osteoarthritis through clinical data and machine learning models by Wei Chen, Haotian Zheng, Binglin Ye, Tiefeng Guo, Yude Xu, Zhibin Fu, Xing Ji, Xiping Chai, Shenghua Li, Qiang Deng

“…The SHapley Additive Planning (SHAP) method was employed to rank feature importance quantitatively. Based on these rankings, predictive models were constructed using Logistic Regression (LR), Random Forest (RF), eXtreme Gradient Boosting (xGBoost), Naive Bayes (NB), Support Vector Machine (SVM), and Decision Tree (DT) algorithms. …”
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Examining a new model of destination choice behavior: An empirical study from Vietnam by Trong Tien Bao BUI

“…Methodology/Design/Approach – To gain a comprehensive understanding of destination choice behaviour, a mixed methods approach combining quantitative and qualitative methods was used. Data was collected through a random sample survey of 630 domestic tourists travelling to Ho Chi Minh City. …”
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APPLICATION OF PROBLEM BASED LEARNING MODELS ON NATURAL SCIENCES TO IMPROVE MOTIVATION AND LEARNING OUTCOMES by Ilham Widia Yusa, Aditya Rakhmawan, Suwandi Suwandi

“…The data analysis technique used is descriptive quantitative analysis, analysis of the results of the questionnaire on learning motivation using a Likert scale and analysis of student learning outcomes using the paired sample T test using SPSS 20. …”
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Identifying and Prioritizing Dimensions of the Organizational Learning Model in Teachers of University of Applied Science and Technology by Gelareh Bakhtiari, Naziasadat Naseri, Mahmoud Ghorbani

“…Methods: This research employed a mixed methodology, specifically an exploratory sequential mixed design, which was executed in two distinct phases: qualitative and quantitative. The qualitative aspect of the statistical population comprised the managerial and vice-presidential personnel at Razavi Khorasan Scientific-Applied University, along with university professors and domain experts, who were selected through purposive sampling, totaling 25 individuals. …”
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Designing a Policy-Making Model for the Country’s Water Resources to Improve Productivity in this Industry by Elahe Yousefian, Abolhassan Faqhihi, Karamollah Daneshfard

“…Moreover, 10 strategies for water governance were identified. In the quantitative phase, to validate the research model, 189 managers and specialists in the Ministry of Energy were asked for their opinions using a researcher-made questionnaire; the sample size was calculated using Cochran's formula, and the sampling procedure was simple random. …”
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Modeling the antecedents and consequences of performance evaluation based on psychological concepts in the social security organization by Mohammad Derakhshandeh, Hamzeh Khastar, Hasan Rangriz, Mahdi Kheirandish

“…Methods: The design of the present research is exploratory mixed-methods (qualitative-quantitative). Sampling was done using a purposive method. …”
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Technology, Pedagogy and Content Knowledge Model for Increasing Civic Education Teacher’s Competencies in the Classroom by Zaky Farid Luthfi, Bayu Wijayanto, Rika Novariza, Arief Muttaqiin, Atri Waldi

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Modeling Estuarine Algal Bloom Dynamics with Satellite Data and Spectral Index-Based Classification by Mayya Podsosonnaya, Maria J. Schreider, Sergei Schreider

“…Probabilities for classifying clusters as either “bloom” or “non-bloom” were predicted with respect to the optimal threshold. The resulting model can be used to estimate probability of macroalgal blooms in coastal estuaries, allowing quantitative monitoring through time and space.…”
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Analyzing the impact of disaster-related factors on student preparedness using Structural Equation Modelling by Arinda Soraya Putri, Adryan Rizky Martin, Eko Setiawan, Afiqoh Akmalia Fahmi, Munajat Tri Nugroho, Evitania Salmadita Putri, Yuda Aditiya Pratama

“…The quantitative approach in this study uses the Structural Equation Modelling (SEM) method. …”
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A Normative Model Representing Autistic Individuals Amidst Autism Spectrum Phenotypic Heterogeneity by Joana Portolese, Catarina Santos Gomes, Vinicius Daguano Gastaldi, Cristiane Silvestre Paula, Sheila C. Caetano, Daniela Bordini, Décio Brunoni, Jair de Jesus Mari, Ricardo Z. N. Vêncio, Helena Brentani

“…Results: Three PCs embedded 72% of the normative sample variance. PCA-projected dimensions supported normative modeling where a multivariate normal distribution was used to calculate percentiles. …”
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Garbage In, Flowers Out: Noisy Training Data Help Generative Models at Test Time by Alberto Testoni, Raffaella Bernardi

“…Finally, we run a human evaluation experiment on a sample of machine-machine dialogues to complement the quantitative analysis. …”
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Modeling emoji online marketing on websites among young consumers: the moderation effect of age by Mihlali Maraule, Rodney Duffett, Tudor Edu

“…This study aims to integrate various other constructs with Technological Acceptance Model variables to assess emoji online marketing on websites. …”
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THE EFFECTIVENESS OF PROBLEM-BASED AND DISCOVERY LEARNING MODELS ON STUDENTS' MATHEMATICAL CRITICAL THINKING ABILITIES by Adi Nurjaman, Indah Puspita Sari, Wahyu Hidayat

“… Critical thinking skills are essential for addressing 21st-century challenges, which requires a learning model that can optimally engage students' cognitive abilities. …”
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