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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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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Identification and optimization of relevant factors for chronic kidney disease in abdominal obesity patients by machine learning methods: insights from NHANES 2005–2018 by Xiangling Deng, Lifei Ma, Pin Li, Mengyang He, Ruyue Jin, Yuandong Tao, Hualin Cao, Hengyu Gao, Wenquan Zhou, Kuan Lu, Xiaoye Chen, Wenchao Li, Huixia Zhou

“…To explore the associations between these variables and CKD, the present study used a multivariable-adjusted least absolute shrinkage and selection operator (LASSO) regression model, along with a restricted cubic spline (RCS) model. …”
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Nutrient Content Prediction and Geographical Origin Identification of Bananas by Combining Hyperspectral Imaging with Chemometrics by Honghui Xiao, Chunlin Li, Mingyue Wang, Zhibo Huan, Hanyi Mei, Jing Nie, Karyne M. Rogers, Zhen Wu, Yuwei Yuan

“…Partial least squares (PLS) models achieved R²_p values of 0.8012 and 0.8606 for SSC and K content, respectively. …”
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Dynamic Cascade Spiking Neural Network Supervisory Controller for a Nonplanar Twelve-Rotor UAV by Cheng Peng, Guanyu Qiao, Bing Ge

“…Unknown variables in the environment, such as wind disturbance during a flight, affect the accurate trajectory of multi-rotor UAVs. …”
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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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Development and Validation of a Machine Learning Prediction Model for Textbook Outcome in Liver Surgery: Results From a Multicenter, International Cohort by Jane Wang, MD, Amir Ashraf Ganjouei, MD, MPH, Taizo Hibi, MD, PhD, Nuria Lluis, MD, PhD, Camilla Gomes, MD, Fernanda Romero-Hernandez, MD, Han Yin, BA, Lucia Calthorpe, MD, Yukiyasu Okamura, MD, PhD, Yuta Abe, MD, PhD, Shogo Tanaka, MD, PhD, Minoru Tanabe, MD, PhD, Zeniche Morise, MD, PhD, Horacio Asbun, MD, PhD, David Geller, MD, Mohammed Abu Hilal, MD, PhD, Mohamed Adam, MD, Adnan Alseidi, MD, EdM, International Hepatectomy Study Group, Alison Baskin, Annie Wong-On-Wing, Annie Yang, Devesh Sharma, Taisuke Imamura, Masanori Nakamura, Yuya Miura, Koki Hayashi, Masatsugu Ishii, Keita Shimata, Kazuya Hirukawa, Hiroki Ueda, June S. Peng, Lucas Thornblade, Kenzo Hirose, Kimberly Kirkwood, Eric Nakakura, Carlos Corvera, Ajay Maker

“…This study aimed to (1) develop a machine learning (ML) model that predicts the textbook outcome in liver surgery (TOLS) using preoperative variables and (2) validate the TOLS criteria by determining whether TOLS is associated with long-term survival after hepatectomy. …”
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Major Adverse Kidney Events in Hospitalized Older Patients With Acute Kidney Injury: Machine Learning–Based Model Development and Validation Study by Xiao-Qin Luo, Ning-Ya Zhang, Ying-Hao Deng, Hong-Shen Wang, Yi-Xin Kang, Shao-Bin Duan

“…The Boruta algorithm was used to select the most important predictor variables from 53 candidate variables. The eXtreme Gradient Boosting algorithm was applied to establish a prediction model for MAKE30. …”
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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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Unlocking Nature’s Potential: Modelling <i>Acacia melanoxylon</i> as a Renewable Resource for Bio-Oil Production through Thermochemical Liquefaction by Sila Ozkan, Henrique Sousa, Diogo Gonçalves, Jaime Puna, Ana Carvalho, João Bordado, Rui Galhano dos Santos, João Gomes

“…Reaction time, reaction temperature, as well as catalyst concentration, were chosen as independent variables. The resulting model exhibited very good results, with a highly adjusted R-squared (1.000). …”
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Multiphase Reactions of Hydrocarbons Into an Air Quality Model With CAMx‐UNIPAR: Impacts of Humidity and NOx on Secondary Organic Aerosol Formation in the Southern USA by Yujin Jo, Myoseon Jang, Azad Madhu, Jiwon Choi, Jinsoo Park

“…Both UNIPAR and SOAP showed similar tendencies in SOA mass but slightly underpredicted against observations at given five ground sites. However, SOA compositions and their sensitivity to environmental variables (sunlight, humidity, NOx, and SO2) were different between two models. …”
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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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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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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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The Graft of ANN-FEM Technique in Macro-mechanics of Multi-oriented Natural Fiber/Polyester Laminates by Christian Emeka Okafor, Christopher Chukwutoo Ihueze

“…A standard feed-forward backpropagation network was adopted and the ANN model consists of stacking sequence, laminate aspect ratio and fiber orientation as input variables while the selected network outputs variables include average stress and displacement. …”
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Regional performance variation in external validation of four prediction models for severity of COVID-19 at hospital admission: An observational multi-centre cohort study. by Kristin E Wickstrøm, Valeria Vitelli, Ewan Carr, Aleksander R Holten, Rebecca Bendayan, Andrew H Reiner, Daniel Bean, Tom Searle, Anthony Shek, Zeljko Kraljevic, James Teo, Richard Dobson, Kristian Tonby, Alvaro Köhn-Luque, Erik K Amundsen

“…<h4>Conclusions</h4>The performance of the four prediction models was variable. The Xie model had the best discrimination for mortality, while the Allenbach model had acceptable results for prediction of severe disease.…”
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Integrating 3D printing, simulations and surrogate modelling: A comprehensive study on additive manufacturing focusing on a metal twin-cantilever benchmark by C. Mallor, S. Lani, V. Zambrano, H. Ghasemi-Tabasi, S. Calvo, A. Burn

“…The reduced order method for creating the surrogate model is based on tensor decomposition and designed for easy integration into a digital twin, while preserving the underlying physics by retaining the effects of input variables on the final output. …”
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Ensemble reconstruction of missing satellite data using a denoising diffusion model: application to chlorophyll <i>a</i> concentration in the Black Sea by A. Barth, J. Brajard, A. Alvera-Azcárate, B. Mohamed, C. Troupin, J.-M. Beckers

“…In this paper, we investigate the use of a denoising diffusion model to reconstruct missing observations. Such methods can naturally provide an ensemble of reconstructions where each member is spatially coherent with the scales of variability and with the available data. …”
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Thermal transport and bio-convection transport phenomenon in non-Newtonian couple stress model via OHAM through Darcy-Forchheimer porous medium by Muhammad Sohail, Syed Tehseen Abbas, Muhammad Hussain Ali, Ibrahim Mahariq

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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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