A hybrid fuzzy logic–Random Forest model to predict psychiatric treatment order outcomes: an interpretable tool for legal decision support by Alexandre Hudon, Alexandre Hudon, Alexandre Hudon, Alexandre Hudon

“…Feature importance was also computed to assess the influence of each variable on the prediction outcome.ResultsThe hybrid model achieved an accuracy of 98.1%, precision of 93.3%, recall of 100%, and a F1 score of 96.6. …”
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Modeling and optimization of essential oils and extracts for meat quality evaluation during storage, with high-performance liquid chromatography analysis of aflatoxin levels by Sarah Alharthi, Sarah Alharthi, Rokayya Sami, Hilary Uguru, Ruqaiah I. Bedaiwi, Awatif M. Almehmadi, Suzan A. Abushal, Roqayah H. Kadi, Buthaina M. Aljehany, Eman A. Abduljawad, Abeer A. Aljehani, Sarah S. Aggad, Sarah A. Alasmari, Dalal A. Alkhudhayri, Fayez Alsulaimani, Fayez Alsulaimani, Ahmed M. Basri, Ahmed M. Basri

“…The dried meat (beef) samples were treated with onion peels extract (OPE), onion peels oil (OPO), plantain peels extract (PPE), and plantain peels oil (PPO), in accordance with concentrations and hybridization levels, provided by Central Composite Design (CCD) model. Two basic independent variables – treatment type and storage time – were evaluated, to establish their impact on six responses: total bacterial viable content (TBC), Staphylococcus aureus, Salmonella spp., total viable fugal content (TFC), aflatoxin B1 and aflatoxin B2. …”
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Clinical Outcome Prediction Model in Tetralogy of Fallot Without Pulmonary Valve Replacement Using Contraction Fraction From the SCOUT‐TOF Registry by Mark A. Fogel, Jennifer A. Faerber, Abdullah Mahmood, Keerthi Reddy, Xuemei Zhang, Elizabeth Goldmuntz, Matthew A. Harris, David Biko, Sara Partington, Stephen Paridon, Michael Mcbride, Victor Ferrari, Kevin K. Whitehead, Laura Mercer‐Rosa

“…Background Few large scale prediction models of clinical outcomes in repaired tetralogy of Fallot (rTOF) exist. …”
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Quantitative modeling of mortality patterns in dogs exposed to alpha particle emitting radionuclides: Insights from competing risks and causal inference machine learning. by Eric Wang, Igor Shuryak, David J Brenner

“…Using a Causal Forest model, which is designed to detect causal relationships rather than just associations, we investigated the causal impact of radioactivity on dog mortality, accounting for other variables. …”
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Physical and biogeochemical drivers of multi-year isoscape in the California upwelling system by Natasha L. Vokhshoori, Genevieve Pugsley, Jerome Fiechter, Matthew D. McCarthy

“…Here, we coupled a modern multi-year (2010–2019) δ13C and δ15N isoscape record from intertidal mussels (Mytilus californianus) with high-resolution ocean model output and satellite chlorophyll-a observations in the California Current System (32°–43° N) to identify major drivers of isotopic variability. …”
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Indonesian Stocks’ Volatility during COVID-19 Waves: Comparison between IHSG and ISSI by Muhammad Syauqy Alghifary, Dzuliyati Kadji, Iffah Hafizah

“…The performance was measured by analyzing the volatility of the Indonesian Sharia Stock Index (ISSI) and the Composite Stock Price Index (IHSG) during the COVID-19 pandemic. …”
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Early Desertification Risk in Advanced Economies: Summarizing Past, Present and Future Trends in Italy by Marco Maialetti, Rares Halbac-Cotoara-Zamfir, Ioannis Vardopoulos, Luca Salvati

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Methods of evaluation the quality of teaching in higher education institutions by Irina V. Barannikova, Elena N. Shaforostova

“…The method of quality assessment and the results of the study, based on the proposed pyramid model of quality assessment with the details of the components, included in its composition, and the designation of their values for evaluation are considered in the paper. …”
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Soil Organic Matter (SOM) Mapping in Subtropical Coastal Mountainous Areas Using Multi-Temporal Remote Sensing and the FOI-XGB Model by Hao Zhang, Xiaomei Li, Jinming Sha, Jiangning Ouyang, Zhipeng Fan

“…These features, along with topographic covariates, were processed using an improved Feature-Optimized and Interpretable XGBoost (FOI-XGB) model for key variable selection and spatial mapping. …”
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Improving the Universal Performance of Land Cover Semantic Segmentation Through Training Data Refinement and Multi-Dataset Fusion via Redundant Models by Jae Young Chang, Kwan-Young Oh, Kwang-Jae Lee

“…Various semantic segmentation models have been introduced to segment land cover from aerial or satellite images, and remarkable results have been achieved. …”
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Compressive strength prediction of fly ash/slag-based geopolymer concrete using EBA-optimised chemistry-informed interpretable deep learning model by Yang Yu, Iman Munadhil Abbas Al-Damad, Stephen Foster, Ali Akbar Nezhad, Ailar Hajimohammadi

“…The model integrates key mix parameters such as material proportions, curing conditions, and the chemical composition of FA/GGBS binders, making it chemistry-informed. …”
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Study on the effects of initial stress and imperfect interface on static and dynamic problems in thermoelastic laminated plates by Yunying Zhou, Jiahuan Liu, Hong Mei, Dinggui Hou, Zhijie Yue, Yunxia Zhang

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Association between Advanced Lung Cancer Inflammation Index and 30-day mortality in patients with spontaneous intracerebral hemorrhage: a retrospective cohort study by Jianzhong Ding, Jianzhong Ding, Jiquan Zhang, Wanqiu Lv, Yangchun Xiao, Fang Fang, Wenchao Ma, Yu Zhang, Xiaoli Zhong

“…ROC curve analysis demonstrated that ALI outperformed individual biomarkers (BMI, albumin, and NLR) in predicting mortality, with an AUC of 0.681, which further improved to 0.811 when ALI was integrated into the ICH prediction model.ConclusionALI is a reliable composite biomarker, with higher ALI scores being significantly associated with reduced 30-day mortality in patients with ICH.…”
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GIS-based modeling and analytical approaches for groundwater quality suitability for different purposes in the Egyptian Nile Valley, a case study in Wadi Qena by Hanaa A. Megahed, Abd El-Hay A. Farrag, Amira A. Mohamed, Mahmoud H. Darwish, Mohamed A. E. AbdelRahman, Heba El-Bagoury, Paola D’Antonio, Antonio Scopa, Mansour A. A. Saad

“…Chemical analysis of the major cations and anions was carried out at Assuit’s Regional Soil Fertility Laboratory. Maps of chemical variables are created using statistical tools by combining observations with interpolation models that can incorporate simple process relations. …”
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Photometry of Outer Solar System Objects from the Dark Energy Survey. II. A Joint Analysis of Trans-Neptunian Absolute Magnitudes, Colors, Light Curves and Dynamics by Pedro H. Bernardinelli, Gary M. Bernstein, T. M. C. Abbott, M. Aguena, S. S. Allam, D. Brooks, A. Carnero Rosell, J. Carretero, L. N. da Costa, M. E. S. Pereira, T. M. Davis, J. De Vicente, S. Desai, H. T. Diehl, P. Doel, S. Everett, B. Flaugher, J. Frieman, J. García-Bellido, E. Gaztanaga, R. A. Gruendl, G. Gutierrez, K. Herner, S. R. Hinton, D. L. Hollowood, K. Honscheid, D. J. James, K. Kuehn, O. Lahav, S. Lee, J. L. Marshall, J. Mena-Fernández, R. Miquel, J. Myles, A. A. Plazas Malagón, S. Samuroff, E. Sanchez, B. Santiago, I. Sevilla-Noarbe, M. Smith, E. Suchyta, G. Tarle, D. L. Tucker, V. Vikram, A. R. Walker, N. Weaverdyck, (The DES Collaboration)

“…These results will strongly constrain models of the outer solar system.…”
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Coexisting predictors for undernutrition indices among under-five children in West Africa: application of a multilevel multivariate ordinal logistic regression model by Abebew Aklog Asmare, Awoke Seyoum Tegegne, Denekew Bitew Belay, Yitateku Adugna Agmas

“…Considering the impact of other predictors such as maternal, child, and socioeconomic variables, a multilevel multivariate partial proportional ordinal logistic regression model was conducted to analyze the relationship between stunting, wasting and underweight. …”
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Urban Resilience Amid Supply Chain Disruptions: A Causal and Cointegration-Based Risk Model for G-7 Cities Post-COVID-19 by Haibo Wang, Lutfu S. Sua

“…Using Granger causality tests and a factor-augmented vector autoregression (FAVAR) approach, the study examines complex time series and high-dimensional variables, focusing on urban-specific indicators such as the composite leading indicator (CLI) and business confidence indicator (BCI). …”
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TECTONIC POSITION OF MINGLING DYKES IN ACCRETION-COLLISION SYSTEM OF EARLY CALEDONIDES OF WEST SANGILEN (SOUTH-EAST TUVA, RUSSIA) by Irina V. Karmysheva, Vladimir G. Vladimirov, Aleksander G. Vladimirov, Roman A. Shelepaev, Vladislav A. Yakovlev, Elena A. Vasyukova

“…However, mingling of the contrasting melts was carried out by different mechanisms as suggested by the proposed intrusion models.In the area between the Erzin and Naryn rivers (Strelka Site), the host rock of the composite dykes is granite of the Nizhneerzin massif. …”
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Optimizing GBM organoid construction with hydrogel-based models: GelMA-HAMA scaffold supports GBM organoids with clonal growth for drug screening by Min Zhou, Ke Yue, Jingjing Zhao, Shuhua Gong, Yutong Xie, Wenyu Wu, Zhenzhou Li, Shuo Wu, Zhengliang Gao, Huan Wang, Jianrong Guo

“…However, Matrigel, the most used extracellular matrix, is animal-derived with a complex composition and significant batch-to-batch variability, requiring further optimization for GBM organoid construction. …”
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ZIF-8 as Potential Pesticide Adsorbent Medium for Wastewater Treatment: The Case Study of Model Linuron Extraction Conditions Optimization via Design of Experiment by Nicola di Nicola, Mariacristina Di Pelino, Martina Foschi, Rosalba Passalacqua, Andrea Lazzarini, Fabrizio Ruggieri

“…The fitted quadratic regression model exhibited excellent predictive performance (R² = 0.909; Q² = 0.755), and analysis of variance (ANOVA) confirmed its significance (<i>p</i> < 0.001) with a non-significant lack of fit. …”
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