Associations of Individual and Neighborhood Factors with Disparities in COVID-19 Incidence and Outcomes by Margaret E. Samuels-Kalow, Rebecca E. Cash, Kori S. Zachrison, Auriole Corel Rodney Fassinou, Norman Harris II, Carlos A. Camargo Jr.

“…The primary independent variable was race/ethnicity; covariates included individual age, sex, comorbidity, insurance and neighborhood density, poverty, racial/ethnic composition, education and occupation. …”
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Computed tomography-derived quantitative imaging biomarkers enable the prediction of disease manifestations and survival in patients with systemic sclerosis by Gabriela Riemekasten, Felix Nensa, Hanna Grasshoff, René Hosch, Malte Maria Sieren, Lennart Berkel, Jörg Barkhausen, Roman Kloeckner, Franz Wegner

“…Introduction Systemic sclerosis (SSc) is a complex inflammatory vasculopathy with diverse symptoms and variable disease progression. Despite its known impact on body composition (BC), clinical decision-making has yet to incorporate these biomarkers. …”
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DIALECTIC OF IDENTITY AND DIFFERENCES IN THE HISTORY OF RUSSIAN TRIOOLET by A. V. Ostankovich, E. V. Bublik

“…The article features the reflection of the main development trends of Triolet in the Russian poetry of the XVIII-XX centuries, connected with dialectics the interaction of contrasts: traditional and innovative, stable and variable, symmetry and asymmetry, architectonic and composition, statics and dynamics; a classification and description of the main models of the Russian Triolet, poetic analysis of Triolets by M. …”
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Research on Bearing Fault Diagnosis Method for Varying Operating Conditions Based on Spatiotemporal Feature Fusion by Jin Wang, Yan Wang, Junhui Yu, Qingping Li, Hailin Wang, Xinzhi Zhou

“…In real-world scenarios, the rotational speed of bearings is variable. Due to changes in operating conditions, the feature distribution of bearing vibration data becomes inconsistent, which leads to the inability to directly apply the training model built under one operating condition (source domain) to another condition (target domain). …”
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Optimized CNN-Bi-LSTM–Based BCI System for Imagined Speech Recognition Using FOA-DWT by Meenakshi Bisla, Radhey Shyam Anand

“…To achieve optimal performance, the CNN-Bi-LSTM model was optimized using the Keras tuner library. …”
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A Combination of Few Physicochemical and Fungal Parameters Can Explain the Soil‐Dependent Variation in Wheat Biomass After Inoculation With Cladosporium tenuissimum by Lena von Saldern, Loïc Thurre, Waelchli Jan, Judith Kobler, Juliane Krenz, Klaus Schlaeppi

“…For each soil, we measured physicochemical parameters and characterised the soil fungal community composition. We then performed variable selection and exhaustive model screenings to find the best model explaining variations in BRI. …”
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VHR Multispectral Satellite Image Classification with Kolmogorov-Arnold Networks for Urban Applications by M. Fawzy, M. Fawzy, Á. Barsi

“…Obtained KAN classification accuracy and computational efficiency are evaluated compared to SNN, highlighting its strengths in modelling complexity with optimized key model parameters. …”
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Silicic magmas in the Michoacán-Guanajuato Volcanic Field: an overview about plumbing systems, crustal storage and genesis processes by Giovanni Sosa-Ceballos, Mario Emmanuel Boijseauneau-López, Juan Daniel Pérez-Orozco, Gerardo Cifuentes-Nava, Xavier Bolós, Mathieu Perton, David Simón-Velázquez

“…In addition to bibliographic data, we present a gravimetric-magnetometric model to investigate the characteristics of the local basement where magmas acquire their final silicic composition, and a seismic tomography model to investigate the deep plumbing system that contribute to form the silicic rocks emplaced on the surface. …”
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What makes equity crowdfunding successful in Japan? Testing the signaling and lack of financial literacy hypotheses by Yoshiaki Nose, Chie Hosomi

“…We begin with a probit analysis, and the Logit model is then introduced. Finally, a multiple regression analysis is run with the explained variables “fundraising rate” and “number of investors” and the hypothesized proxy variables as explanatory variables. …”
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Identification of essential anthropometric and health-related markers for effective weight loss program in middle-aged women by Nurul Hidayah Mat, Rabiu Muazu Musa, Fanora Mat, Zaffira Firzana Zaffri

“…All variables significantly contributed to the model (p < 0.001). …”
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Evolution of tandem repeats in putative circumsporozoite protein to enhance its function: A recent and exclusive event in Plasmodium vivax in India by Manoswini Dash, Veena Pande, Aparup Das, Abhinav Sinha

“…Putative circumsporozoite protein in Plasmodium vivax (PvpuCSP) identified following the molecular hitchhiking model, holds evolutionary significance. Methods: We investigated the extent of genetic polymorphism in PvpuCSP and the role of natural selection which shapes the genetic composition and maintains the diversity in P. vivax isolates from India. …”
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Estimating mineral-associated organic carbon saturation and sequestration potential using MIR spectral based local quantile regression by Longnan Shi, Karen Daly, Sharon O’Rourke

“…Moreover, based on correlation analysis and variable importance used in random forest model, soil mineralogy related properties, such as CEC and different cations, followed by land management related covariates, like available phosphorus and climatology, were identified as primary and secondary driving factors behind this variation of MAOC saturation limit. …”
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Resilient Operation Strategies for Integrated Power-Gas Systems by Behdad Faridpak, Petr Musilek

“…The challenge of unpredictability is addressed by an adaptive distributionally robust optimization strategy based on multi-cut Benders decomposition. The uncertainties of HILP events are modeled by different moment-based probability distributions. …”
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Optimizing the Ratio of Wind and Solar Power Stations by Kuznetsov N., Smertiuk V., Lysenko O., Nesterchuk D., Adamova S.

“…Based on the results, mathematical models were developed in the form of a composition of deterministic and stochastic components and theoretical studies on the search for optimal ratios of capacities of wind and solar power stations were carried out. …”
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EFFECT OF THE ADDITION OF PREGELATINIZED STARCH AND DEXTRIN IN THE FORMULATION OF TILAPIA MECHANICALLY SEPARATED MEAT PATTIES by Flávia Renata Potrich Signor, Gislaine Silveira Simões, Priscila Ferri Coldebella, Arcangelo Augusto Signor, Wilson Rogério Boscolo

“…A base formulation is developed to be applied in the design with different levels (0, 0.5, 1, 2, 3%) According to the planning (DCCR), pre-gelatinized starch and dextrin. A regression model was developed for the variable Shear Force response (texture). …”
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Spectral Fingerprinting of Tencha Processing: Optimising the Detection of Total Free Amino Acid Content in Processing Lines by Hyperspectral Analysis by Qinghai He, Yihang Guo, Xiaoli Li, Yong He, Zhi Lin, Hui Zeng

“…By comparing modeling evaluation indicators for each model, the optimal model was identified: the overall model CT+CARS+PLSR, with predictive indicators Rc² = 0.9885, Rp² = 0.9566, RMSEC = 0.0956, RMSEP = 0.1749, RPD = 4.8021, enabling the visualization of total free amino acid content in processed Tencha leaves. …”
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Do water–energy dynamics drive plant species richness patterns on the high alpine Tibetan plateau? by Prakash Bhattarai, Ole R. Vetaas, Guang Zhao

“…We performed detrended correspondence analysis and generalized linear models to explore the effect of energy and water variables on species composition and species richness, respectively. …”
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Prediction of the Methane Yield From Extensively Managed, Flower‐Rich Fen Grassland Based on NIRS Data by M. Wendt, S. Nandke, P. Scharschmidt, M. Thielicke, J. Ahlborn, M. Heiermann, F. Eulenstein

“…In this work, we evaluated flower‐rich extensive fen grassland for its biogas yield using a newly created model based on common chemical parameters. Therefore, flower‐rich biomass from a cultivation experiment (n = 48) was analyzed for its biomass yield (average 9.43 ± 1.26 tVS × ha−1), chemical composition by wet chemical analysis and near‐infrared spectroscopy (NIRS), specific methane yield (SMY) potential via batch tests, and methane hectare yield (1505.62 ± 282.86 m3N × ha−1). …”
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Mereological approach to higher-order structure in complex systems: From macro to micro with Möbius by Abel Jansma

“…To illustrate the latter in practice, we decompose the Kullback-Leibler divergence, and show that our method correctly identifies which variables are responsible for the divergence. In addition, we use Rota's Galois connection theorem to describe coarse grainings of mereologies, and efficiently derive the renormalized couplings of a 1D Ising model. …”
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Entrepreneurial engagement and technical grants funding: Analysis of structurally behavioural determinants and economic factors by Abiola John Asaleye, Thobeka Ncanywa

“…This study investigates the influence of structural-behavioural determinants and economic factors on entrepreneurial engagement, focusing on the role of technical grants using Dynamic Ordinary Least Squares and Fully Modified Ordinary Least Squares for long-run analysis, variance decomposition from the Vector Error Correction Model (VECM) for dynamic impact assessment, and VECM for causality analysis. …”
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