Identifying Factors Affecting the Success of Iranian Wrestling Based on Bosscher's Championship Sports Development Model by Hossein Tayebi Falehi, Reza Shajie, Shahram Alam, Seyed Nahid Shatab Bushehri

“…Purpose: This research aims to analyze the success process of Iranian wrestling based on Bosscher's championship sports development model. Materials andMethods: it is qualitative-quantitative research which is applied in terms of purpose; it is mixed exploratory research and it uses Grounded Theory in terms of methodology. …”
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Targeted lipidomics analysis of possible molecular mechanisms of lipid changes in temporal lobe epilepsy models by Huaiyu Sun, Xuewei Li, Zhiqing Chen, Hongmei Meng

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An algorithm to assess importance of predictors in systematic reviews of prediction models: a case study with simulations by Ruohua Yan, Chen Wang, Chao Zhang, Xiaohang Liu, Dong Zhang, Xiaoxia Peng

“…Abstract Background How to assess the importance of predictors in systematic reviews (SR) of prediction models remains largely unknown. The commonly used indicators of importance for predictors in individual models include parameter estimates, information entropy, etc., but they cannot be quantitatively synthesized through meta-analysis. …”
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Influence of aging on dermal elastin fiber architecture and skin firmness assessed by finite element modeling by Fei Jiang, Takeshi Tohgasaki, Mayuko Kami, Ryota Sanuki, Yuya Nakata, Shinya Kondo, Xian Chen

“…In this study, we developed a novel computational framework integrating realistic 3D elastin fiber geometries–extracted from confocal microscopy images of human abdominal skin samples (Caucasian females, aged 38–78 years)–into a finite element (FE) model of the dermal matrix. …”
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Antidiabetic assessment of mango and soursop leaves bioactive phytochemical formulation on streptozotocin-induced rat model by Churchill Chisom Ogbonna, Samuel Chidi Iwuji, Taofik Oladimeji Azeez, Raymond Maduabuchi Okoronkwo, Tochukwu Nze Ugorji, Christian O. Asadu

“…Results Preliminary screening of both leaf samples revealed the presence of alkaloids, flavonoids, tannins, phenols, terpenoids and saponins, and quantitative analysis showed high yield for saponins and flavonoids of both samples of mango and soursop leaves. …”
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Effectiveness of Problem-Based Learning and Discovery Learning Models on Learning Outcomes of Social Science Students by Walipah Walipah, Riril Mardiana Firdaus, Farida Chasanah

“…Research will be conducted to determine the description of the problem-based learning and discovery learning models to improve student learning outcomes, the differences in cognitive and affective learning outcomes between experimental and control classes, and the effectiveness of the problem-based learning and discovery learning models in improving student learning outcomes—quantitative research with an experimental nonequivalent control group design. …”
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Impact of the DeepSeek-R1 Model Launch on the Value of Chinese AI Concept Companies by Li Dongjun

“…This study selects 152 A-share listed companies from the artificial intelligence industry chain as the observation sample, and employs an event study method to quantitatively analyze abnormal stock price movements before and after the technology announcement. …”
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Team Assisted Individualization Model Assisted by Effective Ludo Media Improving Student Learning Outcomes by Donna Restu Wilujeng, Sukamto Sukamto, Ervina Eka Subekti

“…The number of samples in this study was all students of class IV, amounting to 26 students using saturated sampling type sampling. …”
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Policy effectiveness evaluation of rural environmental sanitation governance in China: based on the PMC index model by Yingda Xu

“…However, the effectiveness of existing policies remains suboptimal due to structural design flaws, highlighting the need for systematic evaluation to address these issues.MethodsThis study integrates the “Policy Modeling Consistency (PMC-Index)” with text-mining technology to quantitatively assess 24 local policies from 7 Chinese cities, with 7 representative samples selected via stratified sampling. …”
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VOPP1 as a Novel Susceptibility Gene in Rheumatoid Arthritis: Insights Into Its Mechanisms From Mendelian Randomization and Experimental Validation by Wu W, Cai H, Nan Y, Tang J, Wang Y

“…Functional validation of the candidate gene vesicular overexpressed in cancer pro-survival protein 1 (VOPP1) was performed in vitro using rheumatoid arthritis fibroblast-like synoviocytes (RA-FLSs), and in vivo in a collagen-induced arthritis (CIA) rat model. Expression levels of VOPP1 were evaluated by quantitative real-time PCR and Western blot. …”
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Camera traps unable to determine whether plasticine models of caterpillars reliably measure bird predation. by Laura Schillé, Nattan Plat, Luc Barbaro, Hervé Jactel, Frédéric Raspail, Jean-Baptiste Rivoal, Bastien Castagneyrol, Anna Mrazova

“…However, recent studies have questioned the accuracy of the method, suggesting that misinterpretation of predator bite marks and the artificiality of the models may bias the results. Yet, bias per se might not be a methodological issue as soon as its statistical distribution in the samples is even, quantifiable, and thus correctable in quantitative analyses. …”
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The Influence of Problem Based Learning (PBL) and Mind Mapping (MM) Models on English Learning Outcomes by Afadah Afadah, Rudy Sumiharsono, Eges Triwahyuni

“…The research design is quantitative causal. The method of determining the area is purposive sampling area. …”
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The Effect of the Problem Posing Learning Model on the Critical Thinking Skills of Fifth Grade Students in Mathematics by Dela Fitriani, Nurul Hidayah, Muhammad Muchsin Afriyadi

“…In light of this issue, the researcher attempted to implement a learning process using a model that had never been used by educators before, namely the problem posing learning model. …”
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Modeling Mechanical Properties of Industrial C-Mn Cast Steels Using Artificial Neural Networks by Saurabh Tiwari, Seongjun Heo, Nokeun Park, Nagireddy Gari S. Reddy

“…The neural network model, employing a 20-44-44-4 architecture and trained on 400 samples from an industrial dataset of 500 samples, achieved 90% of test predictions within a 5% deviation from actual values, with mean prediction errors of 3.45% for YS and 4.9% for %EL. …”
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Optimization of Surgical Procedure and Efficacy Evaluation of Aortic Calcification Model in Rats with Chronic Kidney Disease by PAN Yicong, JIANG Wenhong, HU Ming, QIN Xiao

“…Real-time fluorescence quantitative PCR was used to detect the gene expression of smooth muscle actin-associated protein alpha (Sm22), Runt-related transcription factor 2 (Runx2), and osteopontin (OPN) in rat aortic tissue to evaluate the effectiveness of the model. …”
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Identification and validation of key target genes of penning formula for treating rat chronic endometritis model by Liu Zhihui, Shi Jiani, Chen Chen, Yuan Yuqiong, Chen Guorun, Zhou Qianru

“…Abstract This study analyzed transcriptome sequencing data from rat samples, categorized into control (normal), model (chronic endometritis, CE), and test (treated with Penning Formula, PNF) groups, to identify key target genes of PNF in CE treatment and elucidate the specific mechanism of PNF treatment for CE. …”
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Developing and Validating a Pluralistic Curriculum (PC) Model for English Teaching in Iranian High Schools by Khatereh Zohrabi, Seyyed Ayatollah Razmjoo, Alireza Ahmadi

“…Moreover, it was found that the proposed PC model is valid from the viewpoint of the curriculum experts. …”
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Validation of a model for predicting HIV pre-exposure prophylaxis uptake: a study protocol by Elizabeth Nailantei Kileku, Joseph Sitienei, Morris Senghor Shisanya, Nyawira Gitahi

“…This study aims to validate a model identifying demographic, economic, social, behavioral, and structural factors influencing PrEP use in Turbo Sub-County, where uptake is among the lowest.MethodsThe study will employ a descriptive cross-sectional design using both quantitative and qualitative methods to gather data from youths aged 15–24 in Turbo Sub-County. …”
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Geological modeling of carbonate fracture-cavity reservoir: case study of Shunbei fault zone No. 5 by Bolin Li, Yunfeng He, Wen Chen, Haojie Shang, Lixin Wang

“…For internal architecture characterization, a hierarchical modeling strategy was implemented. The methodology innovatively integrates principal stress orientation trendline tracking algorithms with cumulative probability sampling techniques, achieving quantitative modeling of alternating grille structures composed of crush belt (breccia belt and fracture belt) and bedrock belt. …”
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Pure data correction enhancing remote sensing image classification with a lightweight ensemble model by Huaxiang Song, Hanglu Xie, Yingying Duan, Xinyi Xie, Fang Gan, Wei Wang, Jinling Liu

“…This approach eliminates the need for extensive structural modifications to models. A key innovation in our method is the introduction of a novel strategy, quantitative augmentation, implemented through a plug-and-play module. …”
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