Analysis of financial difficulties in financial management with ALTMAN Z-SCORE, ZMIJEWSKI, and SPRINGATE models in small textile and apparel companies. Listed on the Indonesia Stoc... by Masno Marjohan

“…The data analysis models used are the Altman Original Z-Score, Zmijewski, and Springate models. …”
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Correlation between mixed exposure to several heavy metals during early pregnancy and fetal low birth weight: Possible mediating effect of mitochondrial DNA copy number by Zhanyue Zheng, Tianao Sun, Minli Yang, Qitao Tan, Minglian Pan, Yingjie Zhou, Yongjie Ma, Yan Sun

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Biomarker-Based Nomogram to Predict Neoadjuvant Chemotherapy Response in Muscle-Invasive Bladder Cancer by Meritxell Pérez, Juan José Lozano, Mercedes Ingelmo-Torres, Montserrat Domenech, Caterina Fernández Ramón, J. Alfred Witjes, Antoine G. van der Heijden, Maria José Requena, Antonio Coy, Ricard Calderon, Begoña Mellado, Antonio Alcaraz, Antoni Vilaseca, Maria J. Ribal

“…In addition, a three-gene expression prognostic model to predict tumour relapse was generated. This model was able to discriminate between two groups of patients with a significantly different probability of tumour relapse (HR: 2.11; CI: 1.16–3.83, <i>p</i> = 0.01). …”
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Forensic saliva stains aging, using reverse transcription real-time PCR combined with a multidimensional prediction model of specific mRNA markers by Emad Ahmad Mostafa, Eman Abd Elhakim Attia, Nashwa El-Khazragy, Hanan E. Salem

“…This study explores the degradation rates of specific mRNA markers, SPRR1A and GAPDH, in dried saliva stains using Quantitative Real-Time PCR (RT-qPCR) and constructs a predictive model for aging such stains. …”
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E-learning success evaluation in Lebanon during wartime: An extension of Delone and McLean IS success model [version 1; peer review: 2 approved] by Elie Yammine, Layal Rabih

“…Sampling and data analysis were conducted through structural equation modelling to test hypothesized relationships of the proposed model in SPSS 27.0 using the path analysis. …”
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A high-resolution remote sensing land use/land cover classification method based on multi-level features adaptation of segment anything model by Hui Yang, Zhipeng Jiang, Yaobo Zhang, Yanlan Wu, Heng Luo, Peng Zhang, Biao Wang

“…However, due to the limitation of available samples and model feature extraction capability, the current deep learning methods suffer from weak generalization ability for widespread and effective application across diverse HRRS scenarios. …”
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A theoretical model of the mechanism of entrepreneurial leadership attributes and leadership behaviours on nursing team creativity in a new hospital: a grounded theory study by Jing Gong, Lorna Kwai Ping Suen, Binxu Yang, Yifei Yang, Xintong Deng, Jing Zhou

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Prediction of carbon dioxide emissions from Atlantic Canadian potato fields using advanced hybridized machine learning algorithms – Nexus of field data and modelling by Muhammad Hassan, Khabat Khosravi, Aitazaz A. Farooque, Travis J. Esau, Alaba Boluwade, Rehan Sadiq

“…Finally, different qualitative (scatter plot, line graph, Taylor diagram, box plot, and Rug plot), and quantitative (uncertainty analysis, root mean square error (RMSE), percent of BIAS (PBIAS), Nash Sutcliff efficiency (NSE) and RMSE-observations standard deviation ratio (RSR)) techniques were used for model evaluation and comparison. …”
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Implementation of a media-based citizen science project learning model using a scientific approach in Civic Education to enhance student critical thinking skills by Abd Halim Momo, Muhamad Saleh, La Iru, Syahbudin Syahbudin, Salimin Salimin, Irawaty Irawaty, Wa Ode Reni, Nerlin Nerlin, Muhrajan Piara

“…Using a quantitative quasi-experimental design, the study's population consists of all Public Junior High School 3 Kendari students, with a sample drawn from two eighth-grade classes. …”
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Analisis Penerimaan Pengguna Learning Management System (LMS) BRONE di Universitas Brawijaya berdasarkan Model Unified Theory of Acceptance and Use of Technology (UTAUT) by Lintang Trisnadi, Intan Sartika Eris Maghfiroh, Mochamad Chandra Saputra

“…The research applied a quantitative method by collecting data through a questionnaire distributed via purposive sampling to Universitas Brawijaya students, resulting in 194 respondents. …”
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An Evaluation of English-Medium Instruction Program in Secondary Schools for Distinguished Students by Israa Jaafar Naji, Shaima Mahdi Saalh

“…   The study aims to identify the level of agreement in using English as a medium of instruction according to study sample responses to the Context, Input, Process, and Product model questionnaire and evaluate the English as a medium of instruction program in secondary schools for distinguished students by the study sample according to the CIPP questionnaire items. …”
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Level of digital citizenship among Palestinian university students by Mona.A.A. AbuHuli, Mohyeldin Abdallah Hassan Ibrahim

“… The study aims to identify the level of agreement in using English as a medium of instruction according to study sample responses to the Context, Input, Process, and Product model questionnaire and evaluate the English as a medium of instruction program in secondary schools for distinguished students by the study sample according to the CIPP questionnaire items. …”
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The Influence of the Contextual Teaching and Learning (CTL) Learning Model on Students' Critical Thinking Ability in Class VIII Respiratory System Material at SMP Negeri 2 Gunungsa... by Risa Umami, Arizatul Aslamiyah

“…The type of research used is Quasi experimental design with a quantitative approach. The population in this study were students in class VIII of SMP Negeri 2 Gunungsari, with the research sample being class VIII A as the experimental class and class VIII B as the control class. …”
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Emotional wellbeing in neurodivergent populations by J. David Pincus, Ken Beller

“…IntroductionUnderstanding emotional wellbeing in neurodivergent populations remains a critical yet underexplored area in psychological research.MethodsThis study employs AgileBrain, a novel assessment rooted in a neuroscience-informed model of human motivation, to evaluate emotional activation, valence, and unmet emotional needs across a large and diverse sample of adults reporting diagnosed neurodivergent conditions. …”
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Assessment of prognosis and responsiveness to immunotherapy in colorectal cancer patients based on the level of immune cell infiltration by Kaili Liao, Minqi Zhu, Lei Guo, Zijun Gao, Jinting Cheng, Bing Sun, Yihui Qian, Bingying Lin, Jingyan Zhang, Tingyi Qian, Yixin Jiang, Yanmei Xu, Qionghui Zhong, Xiaozhong Wang

“…The models were validated by survival analysis. The prognostic potential of the models was quantitatively assessed using Cox regression analysis and the development of column line plots. …”
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Revisiting the Middle Molecule Hypothesis of Uremic Toxicity: A Systematic Review of Beta 2 Microglobulin Population Kinetics and Large Scale Modeling of Hemodialysis Trials In Sil... by Maria Eleni Roumelioti, Thomas Nolin, Mark L Unruh, Christos Argyropoulos

“…The developed population model for β2M may allow personalization of hemodialysis prescription and/or facilitate the design of such studies by identifying patients with higher β2M generation rate.…”
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Model Polikultur Udang Windu (Penaeus monodon Fab), Ikan Bandeng (Chanos-chanos Forskal) dan Rumput Laut (Gracillaria Sp.) Secara Tradisional by Murachman - -, Nuhfil - Hanani, Soemarno - -, Sahri - Muhammad

“…Variabel yang dipergunakan pada penelitian ini adalah Variabel penelitian meliputi lingkungan makro tambak, karakteristik pembudidaya, cara pengelolaan tambak dan perlakuan–perlakuan yang diberikan, padat tebar, kualitas air, kesuburan air, produksi tambak, keuntungan pembudidaya polikultur dan model budidaya polikultur tiga komoditas. Model budidaya polikultur terdiri dari enam komponen yaitu penentuan lokasi tambak, persiapan tambak, pemeliharaan, panen, kelembagaan sosial dan kelembagaan ekonomi. …”
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A Machine Learning Model Integrating Tongue Image Features and Myocardial Injury Markers Predicts Major Adverse Cardiovascular Events in Patients with Coronary Heart Disease by Zhou M, Li J, Lim J, Xiao X, Xia Y, Wang Q, Xu Z

“…After sample balancing using the SMOTE method, non-parametric tests revealed significant differences in imaging indicators, some myocardial injury markers, and tongue image parameters between the 2 groups of patients:LDH,MYO,TC_ROOT_R,TC_ROOT_G (P&lt; 0.05); the XGBoost, LightGBM models had the highest predictive power (The AUC values of the verification set &gt; 0.97); the combination of SHAP values revealed the importance of the features and provided a quantitative metric to assess the contribution of each feature to the prediction results, Finally, subgroup analysis was conducted based on specific events of MACE.Conclusion: This study provides insight into the potential application of myocardial injury markers, tongue colour parameters, in the prediction of MACE, and future studies could extend the optimisation of the prediction model and explore its application in other cardiovascular diseases.Keywords: machine learning, coronary heart disease, major adverse cardiovascular events, markers of myocardial injury, tongue image, prediction models…”
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Designing a model of mutual expectations in the relationship between the person and the organization in governmental organizations and service providers in Isfahan based on the phe... by Abbas Nosouhi, Akbar Etebarian, Mehraban Hadi Peykani

“…They were selected by purposive sampling method, and data were collected through semi-structured interviews. …”
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Fully Automated Assessment of Cardiac Chamber Volumes and Myocardial Mass on Non-Contrast Chest CT with a Deep Learning Model: Validation Against Cardiac MR by Ramona Schmitt, Christopher L. Schlett, Jonathan I. Sperl, Saikiran Rapaka, Athira J. Jacob, Manuel Hein, Muhammad Taha Hagar, Philipp Ruile, Dirk Westermann, Martin Soschynski, Fabian Bamberg, Christopher Schuppert

“…<b>Conclusions</b>: Automated cardiac chamber volume and myocardial mass quantification on non-contrast chest CT produced viable measurements in this retrospective sample. <b>Relevance Statement</b>: An automated cardiac assessment on non-contrast chest CT provides quantitative morphological data on the heart, enabling a preliminary organ evaluation that aids in incidentally identifying at-risk patients who may benefit from a more targeted diagnostic workup.…”
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