A Method for Interpreting the Role of Parameterized Turbulence on Global Metrics in the Community Earth System Model by Kyle M. Nardi, Colin M. Zarzycki, Vincent E. Larson

“…Abstract The parameterization of subgrid‐scale processes such as boundary layer (PBL) turbulence introduces uncertainty in Earth System Model (ESM) results. …”
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Predicting changes of incisor and facial profile following orthodontic treatment: a machine learning approach by Jing Peng, Yan Zhang, Mengyu Zheng, Yanyan Wu, Guizhen Deng, Jun Lyu, Jianming Chen

“…Such model combined with key influential predictors could provide valuable reference for decision-making process and personalized aesthetic predictions.…”
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Nonredundant, Highly Connected MicroRNAs Control Functionality in Breast Cancer Networks by Guillermo de Anda-Jáuregui, Jesús Espinal-Enríquez, Diana Drago-García, Enrique Hernández-Lemus

“…Some miRs in a network are nonredundant, which indicates that they are solely responsible of the regulation of a particular set of genes, which in turn may be associated to a particular biological process. We hypothesize that highly influential, nonredundant miRs, which we call Commodore miRs (Cdre-miRs), have an important role on the control of biological functions through transcriptional networks. …”
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Obesity Prediction Using Synthetic Minority Oversampling Technique for Numeric and Continous and XGBoost Approaches by Tiara Azahra Wika Putri, Umu Sa’adah, Ummu Habibah

“…Further analysis, this research reviews several influential features in the prediction process, namely Weight, Height and Age. …”
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Observing Privilege: Examining Race, Class, and Gender in Health and Human Service Organizations by Leslie Collins, Sandra L. Barnes

“…Modeling results indicate that although organizational position is the most influential indicator in explaining perceptions about participation in decision-making, race is the most important predictor of perceptions about access to learning resources and influential relationships. …”
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Optimisation of areca nut husk-derived cellulose nanofibers for enhancing the mechanical properties of epoxy composites using response surface methodology by Vasudevan Alagumalai, Verma Rajamanickam, Heba G. Mohamed, Irfan Anjum Badruddin, Muhammad Nasir Bashir, Rhoda Afriyie Mensah

“…Analysis of variance (ANOVA) identified CNF content as the most influential factor (F = 934.48 and 1646.71 for tensile and flexural strength, respectively), followed by mixing time and curing temperature. …”
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Enhanced Model for Gestational Diabetes Mellitus Prediction Using a Fusion Technique of Multiple Algorithms with Explainability by Ahmad Hassan, Saima Gulzar Ahmad, Tassawar Iqbal, Ehsan Ullah Munir, Kashif Ayyub, Naeem Ramzan

“…They highlight the most influential features in GDM prediction and ensures transparency. …”
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A Predictive Model for Estimating Reservoir Impounding Time Based on the Net Inflow and Storage Volume by Harimukti Rosita R., Pitojo T. Juwono, Lily M. Limantara, Emma Yuliani

“…The research begins with a review of elevation data recorded during the impounding process across selected reservoirs. Field data are filtered to extract continuous daily elevation records from reservoirs that underwent a single-stage impounding process. …”
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Digital insights: Analyzing the reproductive intentions and influencing factors among urban women in China through online platforms. by Jing Xiang, Xuan Sun

“…Socio-cultural pressures were the most influential predictors of negative sentiment (OR=11.11, 95% CI: 9.07-12.12).…”
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Enzyme-Aided Treatment of Fruit Juice: A Review by Liew Phing Pui, Lejaniya Abdul Kalam Saleena

“…Enzymes maximize juice extraction from raw materials and improve such processes as pressing, solid settling, and solid removal. …”
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Structural Analysis of Factors Influencing the Resilience of the Hospital Medical Equipment Supply Chain Using Fuzzy MICMAC by farokhlegha mohammadi, mandana sahebzadeh, Yahya Hematyar Tabatabaei

“…Economic factors emerged as a highly influential indirect factor, significantly affecting supply chain resilience. …”
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An interpretable stacking machine-learning model to predict the hot torsion flow characteristics of a micro-alloyed steel by Hojjat Emami, Mehdi Shaban Ghazani

“…Feature importance analysis using Shapley additive explanations revealed that temperature and strain are the most influential features affecting the target stress value. …”
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Extraction of insoluble dietary fiber from hull of Camellia oleifera Abel and its physicochemical properties by Xie Yong, Chen shiqiang, Chi Xianglian, Liang yichi

“…The fruit shell of Camellia oleifera Abel is the by-product in C. oleifera processing, which is greatly wasted by abandoned or burnt in actual production. …”
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Developing a near-infrared spectroscopy calibration algorithm for soil organic carbon content in South Africa by Willie Herman Cloete, Gerhard du Preez, George Munnik Van Zijl

“…The impact of methodological parameters, such as sample state, sampling design, processing and machine learning models, on the root mean square error (RMSE) of the validation statistics was also assessed. …”
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Application of Machine Learning for Predictive Analysis and Management of Mediterranean-Farmed Fish Mortalities: A Risk Management Case Study Using Apache Spark by Marios C. Gkikas, Dimitris C. Gkikas, Gerasimos Vonitsanos, John A. Theodorou, Spyros Sioutas

“…Apache Spark was used for data processing and machine learning model implementation; Apache Cassandra was also used for data storage, ensuring efficient large dataset management and SQL tools for structured data handling; Oracle VM VirtualBox for cross-platform virtualization; and Spark Connector was also used.…”
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EnGCI: enhancing GPCR-compound interaction prediction via large molecular models and KAN network by Weihao Liu, Xiaoli Li, Bo Hang, Pu Wang

“…These features are then processed by a Kolmogorov-Arnold network (KAN) for decision-making. …”
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Tribological Performance Enhancement in FDM and SLA Additive Manufacturing: Materials, Mechanisms, Surface Engineering, and Hybrid Strategies—A Holistic Review by Raja Subramani, Ronit Rosario Leon, Rajeswari Nageswaren, Maher Ali Rusho, Karthik Venkitaraman Shankar

“…The current review provides a comprehensive overview of the tribological challenges and surface engineering solutions inherent in FDM and SLA processes. The overview begins with a comparative overview of material systems, process mechanics, and failure modes, highlighting prevalent wear mechanisms, such as abrasion, adhesion, fatigue, and delamination. …”
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Sistem Pakar Penentuan Penggunaan Bahan Tambahan Pangan untuk Produk Pangan by Melva Linda Aritonang, Kudang Boro Seminar, Nugraha Edhi Suyatma, Irman Hermadi

“…The method used is a decision tree with C5.0 algorithm to classify types of food categories with parameters in the form of basic ingredients and ways of processing food products. Feature selection with information gain results that mixing is a processing method that is quite influential on the decision tree model with maximum information gain value. …”
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INFLUENCE OF CHILDREN IN REAL ESTATE FAMILY PURCHASE DECISION-MAKING CONTEXT by I. Kancheva

“…Results: Children are found to exert moderate indirect influence throughout the family real estate purchase. They are most influential in the final phase of the real estate purchase decision-making process. …”
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Accident Data-Driven Consequence Analysis in Maritime Industries by Jiahui Shi, Zhengjiang Liu

“…Secondly, relevant influential factors are identified based on a literature review. …”
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