Simulations of Microwave Land Surface Emissivity Using FengYun-3D Microwave Radiation Imager Data: A Case in the Tibetan Plateau by Yonghong Liu, Fuzhong Weng, Fei Tang, Rui Li, Yongming Xu, Yang Han, Jun Yang, Qingyang Liu

“…These results indicate that machine learning is likely to be an effective method for future all-sky simulation of MLSE.…”
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Experimental substantiation of the composition of gelatin mass for obtaining capsules with essential oils by E. I. Molokhova, E. I. Ponomareva, Yu. V. Sorokina, I. V. Alekseeva, T. E. Ryumina, V. V. Novikova, A. L. Golovanenko, E. S. Berezina, Yu. M. Ladutko

“…The mechanical and physical-technological parameters required to preserve the strength and elasticity of the capsule shell during the production process and storage are determined.Aim. …”
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A Deep Learning Model for Identifying the Risk of Mesenteric Malperfusion in Acute Aortic Dissection Using Initial Diagnostic Data: Algorithm Development and Validation by Zhechuan Jin, Jiale Dong, Chengxiang Li, Yi Jiang, Jian Yang, Lei Xu, Ping Li, Zhun Xie, Yulin Li, Dongjin Wang, Zhili Ji

“…The training and internal validation cohort consisted of 450 patients from Beijing Anzhen Hospital, whereas the external validation cohort comprised 75 patients from Nanjing Drum Tower Hospital. Three machine learning models were developed: the benchmark model using laboratory parameters, the multiorgan feature–based AAD complicating MMP (MAM) model based on computed tomography angiography images, and the integrated model combining both data modalities. …”
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Novel post-translational modification learning signature reveals B4GALT2 as an immune exclusion regulator in lung adenocarcinoma by Ge Zhang, Zhenfa Zhang, Lianmin Zhang, Guangyao Zhou, Pengpeng Zhang, Dingli Wang, Shuai Jiang

“…From a biological perspective, significant correlations were observed between PTMLS and immunological parameters, whereby elevated PTMLS levels were characterized by attenuated immune responses and immunologically cold neoplastic features. …”
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Video game-based application for fall risk assessment: a proof-of-concept cohort studyResearch in context by Antao Ming, Tanja Schubert, Vanessa Marr, Jaqueline Hötzsch, Sebastian Stober, Peter R. Mertens

“…By data analyses using binary machine learning models a classification of participants was achieved and compared with actual fall events reported for the past 24 months. …”
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Shared and Distinctive Inflammation-Related Protein Profiling in Idiopathic Inflammatory Myopathy with/without Anti-MDA5 Autoantibodies by Zhang Y, Hu W, Li T, Pan Z, Sun J, He Y, Guan W, Zhang L, Lian C, Liu S, Zhang P

“…In addition, correlation between DEPs and serological parameters were performed. The least absolute shrinkage and selection operator (Lasso) regression algorithm of machine learning was used to screen biomarkers related to anti-MDA5+ DM.Results: Compared with HCs, 36 inflammation-related proteins were identified as DEPs. …”
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AAV8 gene therapy for mitochondrial neurogastrointestinal encephalomyopathy (MNGIE) in a patient's liver maintained ex situ for 9 days by Teresa Brevini, Lisa Swift, Helen Reynolds, John Ong, Richard Stopforth, Yogeshkumar Malam, Harry Spiers, AnnaPaterson, Adam Duckworth, Arthur Kaser, Vassillis Kosmoliaptsis, Ramon Marti, Jelle van den Ameele, Gwilym Webb, Christopher Watson, Andrew Butler, Fotios Sampaziotis

“…PCR, qPCR and immunofluorescence for TYMP were used to assess treatment efficacy. Perfusion parameters (flow and pressure), biochemistry (ALT, pH and glucose) and histology were used to assess treatment toxicity. …”
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Prediction of Halo Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and a Transformer Model by Hongyang Zhang, Ju Jing, Jason T. L. Wang, Haimin Wang, Yasser Abduallah, Yan Xu, Khalid A. Alobaid, Hameedullah Farooki, Vasyl Yurchyshyn

“…Each data sample contains physical parameters, or features, derived from photospheric vector magnetic field data taken by the Helioseismic and Magnetic Imager on board the Solar Dynamics Observatory. …”
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High spatial resolution crop type and land use land cover classification without labels: A framework using multi-temporal PlanetScope images and variational Bayesian Gaussian mixtu... by Minh Tri Le, Khuong H. Tran, Phuong D. Dao, Hesham El-Askary, Tuyen V. Ha, Taejin Park

“…The VBGMM, unlike the traditional unsupervised classification methods, (1) first estimated optimal parameters that are most suitable based on the input features and then (2) assigned pixels to the cluster with maximum posteriori probability of a mixture of several Gaussian distributions. …”
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PFAS exposure during pregnancy: Implications for placental health and functioning by Sadia Khan, Marion Ouidir, Nicolas Lemaitre, Nicolas Jovanovic, Sam Bayat, Sarah Lyon-Caen, Pascale Hoffmann, Morgane Desseux, Cathrine Thomsen, A. Couturier-Tarrade, Line Småstuen Haug, Séverine Valmary-Degano, Valérie Siroux, Rémy Slama, Nadia Alfaidy, Claire Philippat

“…Associations between PFAS and each of these parameters were assessed using adjusted linear, logistic regressions and mixture modeling through cluster analysis and Bayesian kernel machine regression (BKMR). …”
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Effect of super absorbent polymer on quantitative and qualitative traits of cowpea (Vigna unguiculata L.) in low irrigation management conditions by Parvaneh Mombani, Seyed Keyvan Marashi

“…Super absorbent on the basis of treatments was mixed with the soil with the help of a disk machine. Stagger furrow irrigation is one of the irrigation methods which can be applied fixed or alternatively by irrigation of half of the furrows. …”
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Similar Instances Reuse Based Numerical Control Process Decision Method for Prismatic Parts by Changhong XU, Shusheng ZHANG, Jiachen LIANG, Rui HUANG, Rong BIAN

“…Considering the dynamic changes in shop floor resources, the detailed parameters of the NC process are modified adaptively, including operation type, processing stage, machine, tool, and tool approach direction. …”
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Young Stellar Objects in the Carina Nebula: Near-infrared Variability and Spectroscopy by Jura Borissova, Radostin Kurtev, Josemanuel Escobar, Javier Alonso-García, Nicolas Medina, Javier Osses, Zhen Guo, Philip W. Lucas, Michael Kuhn, Dante Minniti, Kevin R. Covey, Roberto K. Saito, Francisco Förster

“…This well-characterized catalog also offers a robust training data set for machine learning applications aimed at predicting YSO behavior.…”
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The impact of war on people with type 2 diabetes in Ukraine: a survey studyResearch in context by Oksana Sulaieva, Viktoriia Yerokhovych, Sergii Zemskov, Iuliia Komisarenko, Vitalii Gurianov, Volodymyr Pankiv, Oleksandr Tovkai, Tetyana Yuzvenko, Violetta Yuzvenko, Andrii Tovkai, Zlatoslava Shaienko, Tetyana Falalyeyeva, Nadiya Skrypnyk, Taras Romaniv, Nadiya Pasyechko, Taras Krytskyy, Solomiia Danyliuk, Andrii Klantsa, Dmytro Krasnienkov, Oleksandr Gurbych, Nazarii Kobyliak

“…In addition, lack of regular glucose monitoring (p < 0.001), consultation by endocrinologists (p < 0.001), diet inconsistency (p = 0.017) and scarcity of physical activity (p = 0.047) affected the HbA1c parameters. Interpretation: This study demonstrated a dramatic cumulative effect of the war on T2D patients’ health. …”
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Population dynamics and monitoring applied to decision-making by M. J. Conroy, D. C. Lee

“…Finally, calibration of model parameters is obtained by comparing predicted with observed abundance. …”
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An Intraoperative Ultrasound Evaluation of Axillary Lymph Nodes: Cassandra Predictive Models in Patients with Breast Cancer—A Multicentric Study by Simona Parisi, Francesco Saverio Lucido, Federico Maria Mongardini, Roberto Ruggiero, Francesca Fisone, Salvatore Tolone, Antonio Santoriello, Francesco Iovino, Domenico Parmeggiani, David Vagni, Loredana Cerbara, Ludovico Docimo, Claudio Gambardella

“…This study aims to evaluate US and Elastosonography Shear Wave (SW-ES) parameters for ALN staging to develop a predictive model, named the Cassandra score (CS), to improve the interpretation of findings and standardize staging. …”
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Design and analysis of spiral plating solution flow and rotating magnetic field device for electroplated diamond wire saw by Wei HUANG, Yanming HE, Jinbao XU, Zhenya SONG, Xiang HUANG, Yumeng SUN, Ximeng YU

“…The optimal technological parameters of the electroplated diamond wire saw for the combined device are obtained by the single-factor experiment method, and the wire saw is made. …”
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Unlocking Movement: How Wearables Transform Biomechanical Assessment and Rehabilitation by Tahir Masood

“…Kinematic parameters show consistently strong agreement with OMC data, regardless of sensor placement or configuration. …”
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The Milky Way Radial Metallicity Gradient as an Equilibrium Phenomenon: Why Old Stars Are Metal Rich by James W. Johnson, David H. Weinberg, Guillermo A. Blanc, Ana Bonaca, Gwen C. Rudie, Yuxi (Lucy) Lu, Bronwyn Reichardt Chu, Emily J. Griffith, Tawny Sit, Jennifer A. Johnson, Liam O. Dubay, Miqaela K. Weller, Daniel A. Boyea, Jonathan C. Bird

“…We quantify the evolution of the metallicity gradient in the Milky Way as traced by APOGEE red giants with age estimates from machine learning algorithms. Stars up to ages of ∼9 Gyr follow a similar relation between metallicity and Galactocentric radius. …”
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Leveraging near-real-time patient and population data to incorporate fluctuating risk of severe COVID-19: development and prospective validation of a personalised risk prediction t... by Kaitlin Swinnerton, Nathanael R. Fillmore, Austin Vo, Jennifer La, Danne Elbers, Mary Brophy, Nhan V. Do, Paul A. Monach, Westyn Branch-Elliman

“…The aim of this study was to develop and prospectively validate a tool to predict absolute risk of severe COVID-19 incorporating dynamic parameters at the patient and population levels that could be used to inform clinical care. …”
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