The Delone and McLean Information System Success Model: Investigating User Satisfaction in Learning Management System by Tutut Widyaningrum, Qomariyatus Sholihah, Bambang Santoso Haryono

“…The Research method was conducted with an explanatory quantitative approach and adopts the D&M IS Success Model as a theoretical framework. …”
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Untargeted metabolomic profiling for identifying systemic signatures of helicobacter pylori infection in a guinea pig model by Weronika Gonciarz, Lucyna Kozlowska, Joanna Róg, Magdalena Chmiela

“…This study aimed to identify, using an experimental model of H. pylori infection in guinea pigs, the specific metabolomic biomarkers in the serum of H. pylori-infected (32) versus uninfected (32) animals. …”
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Modelling of Electrical Discharge Processes for Optimization of Corona-Protection System of High Voltage Rotating Machines Insulation by Andreev A.M., Andreev I.A., Belko V.O., Reznik A.S., Smirnov A.N., Stepanov A.A.

“…The verification of the results of mathematical modeling by experimental study of slot partial discharges on test samples with artificial defects of anti-corona coatings made possible to establish the most dangerous types and geometric sizes of defects, which lead to the inception of slot partial discharges, which determined the practical significance of the results. …”
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Proteomic characterization of Aspergillus fumigatus – host interactions using the ex-vivo pig lung (EVPL) model by Aaron Curtis, Freya Harrison, Kevin Kavanagh

“…EVPL also retains resident immune cells, has richer cellular complexity compared to in-vitro models, and has a microbiome. Label-free quantitative proteomic analysis identified the metabolism and development of A. fumigatus on the EVPL alveolar sections; at 48 h, there was an increased abundance of proteins associated with carbon metabolism (e.g. malate dehydrogenase (+8.2 fold increase)), and amino acid metabolism and biosynthesis (e.g. 5-methyltetrahydropteroyltriglutamate – homocysteine S-methyltransferase, (+5.04 fold)) at 72 h. …”
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Providing a Local Model of Aligning the Development of University Technical-Advanced Educations with the Needs of the Labor Market by Parya Jafaryan, Yosef Mohamadifar, Bizhan Rezaee

“…However, there's a lack of established models to guide the development of strategies that address this issue. …”
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Energy Efficiency Optimization Design for Cycle Position Servo PMSM Based on Operating Energy Consumption Model by Bin Yuan, Hui Li, Xuewei Xiang, Hao Zhou

“…Combined with the physical analytical model of mechanical power and friction, a data-model driven precise model is established, enabling quantitative evaluation of the cycle energy consumption with different PMSM design schemes; then, taking cycle operating energy consumption and peak torque as optimization objectives, the optimal Latin hypercube sampling method is employed to generate finite element optimization data samples. …”
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Construction of a glycolysis-related diagnostic model for osteoarthritis through integrated bioinformatics analysis and machine learning by Wangnan Mao, Zhengsheng Bao, Bingbing Zhang, Lianguo Wu

“…The expression levels of these biomarkers were validated by quantitative reverse transcription polymerase chain reaction (qRT-PCR) and immunohistochemical (IHC). …”
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RESTRICTED MAXIMUM LIKELIHOOD ESTIMATION FOR MULTIVARIATE LINEAR MIXED MODEL IN ANALYZING PISA DATA FOR INDONESIAN STUDENTS by Vera Maya Santi, Khairil Anwar Notodiputro, Indahwati Indahwati, Bagus Sartono

“…Thus, it requires an appropriate statistical analysis method such as the multivariate mixed linear regression (MLMM) model. In this study, secondary data from the results of the 2018 PISA survey with Indonesian students as the smallest unit of observation were used as sample. …”
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CloudSense: A model for cloud type identification using machine learning from radar data by Mehzooz Nizar, Jha K. Ambuj, Manmeet Singh, S.B. Vaisakh, G. Pandithurai

“…The knowledge of type of precipitating cloud is crucial for radar based quantitative estimates of precipitation. We propose a novel model called CloudSense which uses machine learning to accurately identify the type of precipitating clouds over the complex terrain locations in the Western Ghats (WG) of India. …”
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ENHANCING STUDENTS' FICTION ANALYSIS SKILLS THROUGH QUIZIZZ MEDIA IN A PROBLEM-BASED LEARNING MODEL by Gusti Ketut Alit Suputra, Idris Idris, Moh. Tahir, Syamsuddin Syamsuddin, Gazali Gazali, Riri Apriana N. Nandi

“…Purposes—This study aims to increase students' fiction analysis by integrating Quizizz media into the Project-Based Learning model. It explores how this combination fosters engagement, critical thinking, and literary comprehension, particularly in analyzing the main elements, such as plot, theme, setting, and moral/ message. …”
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Bioinformation study of immune microenvironment characteristics of disulfidptosis-related subtypes in ovarian cancer and prognostic model construction by Ying Zhou, Yuhong Zhang, Yang Zhou, Yanzheng Gu, Youguo Chen, Juan Wang

“…Clinical samples were analyzed using quantitative polymerase chain reaction (qPCR) and immunohistochemistry (IHC) to validate gene expression. …”
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Structural equation modelling of teachers’ perspectives on microlearning in Saudi EFL instruction: examining predictors of adoption and implementation by Mohammad Hamad Al-khresheh, Rim Al Basheer Ben Ali, Mayez Almayez, Shatha Fahad Alruwaili, Aisha Fadl Almola Mohammed Alimam

“…This study investigated the relationships among familiarity with microlearning, perceived benefits, challenges, and recommendations for its integration into EFL instruction. Employing a quantitative research design, data were collected from 248 EFL teachers selected using stratified sampling to ensure diverse representations across gender, age, teaching experience, and institutional type. …”
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Quality of Four-Tier Diagnostic Test on Wave and Vibration Materials: An Empirical Study Using Rasch Modeling by Moh. Irma Sukarelawan, Toni Kus Indratno, Raden Oktova, Nurul Syafiqah Yap Abdullah

“…Empirical validation data were analyzed using the Rasch model. Review empirical validation from the aspects of item fit and unidimensionality. …”
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Identification of hub genes, diagnostic model, and immune infiltration in preeclampsia by integrated bioinformatics analysis and machine learning by Yihan Zheng, Zhuanji Fang, Xizhu Wu, Huale Zhang, Pengming Sun

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Identification and validation of biomarkers, construction of diagnostic models, and investigation of immunological infiltration characteristics for idiopathic frozen shoulder by Han-tao Jiang, Li-ping Shen, Meng-Qi Pang, Min-jiao Wu, Jiang Li, Wei-jie Gong, Gang Jin, Rang-teng Zhu

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Bioabsorbable Poly(vinyl alcohol)–Citric Acid Dressings: Wound Healing Studies in an Experimental In Vivo Model by Jonalba Mendes Pereira, Emilia Angela Lo Schiavo Arisawa, Antônio Luiz Martins Maia Filho, José Figueredo-Silva, Nicoly Alves, Carolina Hahn da Silveira, Lucia Vieira

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Quantifying the effects of the mitochondrial genome on milk production traits in dairy cows: Empirical results and modeling challenges by Vladimir Brajkovic, Ivan Pocrnic, Miroslav Kaps, Marija Špehar, Vlatka Cubric-Curik, Strahil Ristov, Dinko Novosel, Gregor Gorjanc, Ino Curik

“…Because little is known about the biology of the relationship between mitogenome variation and production traits, our quantitative genetic modeling was complex. Thus, the proportion of total variance explained by mitogenome inheritance was estimated using 5 different models: (1) a cytoplasmic model with maternal lineages (CYTO), (2) a haplotypic model with mitogenome sequences (HAPLO), (3) an amino acid model with unique amino acid sequences (AMINO), (4) an evolutionary model based on a phylogenetic analysis using Bayesian Evolutionary Analysis Sampling Trees phylogenetic analysis (EVOL), and (5) a mitogenome SNP model (SNPmt). …”
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An optimized ensemble ML-WQI model for reliable water quality prediction by minimizing the eclipsing and ambiguity issues by Ashifur Rahman, M. M. Mahbubul Syeed, Md. Rajaul Karim, Kaniz Fatema, Razib Hayat Khan, Mohammad Faisal Uddin

“…The Irish WQI dataset used in the study includes 29,159 samples spanning over 15 years. Each data sample records 11 (eleven) water quality parameters and the corresponding measurement and classification of WQI, calculated using three traditional WQI models, namely, CCME, Brown, and SRDD. …”
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Construction of prediction model for water retention of forest ecosystem in alpine region based on vegetation spectral features by Teng Niu, Zhongze Hou, Jiaxin Yu, Jie Lu, Qiang Yu, Linzhe Yang, Jun Ma, Yafei Liu, Hui Shi, Xuyang Jin

“…In order to study the quantitative relationship between different vegetation and water retention, each type of vegetation collects leaf samples and water retention data at 30 sampling points. …”
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The Influence of TAM Factors and Social Influence on Attitude Towards and Its Impact on Repurchase Intention (Survey on Shopee Application Users) by Diny Dwi Lestari, Endang Siti Astuti, Sunarti Sunarti

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