The extremely halotolerant black yeast Hortaea werneckii - a model for intraspecific hybridization in clonal fungi by Polona Zalar, Jerneja Zupančič, Cene Gostinčar, Janja Zajc, G. Sybren de Hoog, Filomena De Leo, Armando Azua-Bustos, Nina Gunde-Cimerman

“…Abstract The polymorphic black yeast Hortaea werneckii (Capnodiales, Ascomycota) is extremely halotolerant (growth from 0 to 30% [w/v] NaCl) and has been extensively studied as a model for halotolerance in Eukaryotes for over two decades. …”
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Steady-state mixing state of black carbon aerosols from a particle-resolved model by Z. Zhang, Z. Zhang, J. Wang, J. Wang, J. Wang, J. Wang, N. Riemer, C. Liu, C. Liu, Y. Jin, Y. Jin, Z. Tian, Z. Tian, J. Cai, J. Cai, Y. Cheng, Y. Cheng, G. Chen, G. Chen, B. Wang, B. Wang, S. Wang, A. Ding, A. Ding

“…However, due to computational constraints, the mixing state is challenging to accurately represent in large-scale models. In this study, we employ a particle-resolved model to simulate the evolution of BC mixing state based on field observation. …”
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Excessive equatorial light rain causes modeling dry bias of Indian summer monsoon rainfall by Gudongze Li, Chun Zhao, Jun Gu, Jiawang Feng, Mingyue Xu, Xiaoyu Hao, Junshi Chen, Hong An, Wenju Cai, Tao Geng

“…Abstract Simulating accurately the South Asian summer monsoon is crucial for food security of several South Asian countries yet challenging for global climate models (GCMs). The GCMs suffer from some systematic biases including dry bias in mean monsoon rainfall over the India subcontinent and excessive equatorial light rain between which the relationship was rarely discussed. …”
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Fuzzy Modeling for the Dynamics of Alcohol-Related Health Risks with Changing Behaviors via Cultural Beliefs by Maranya M. Mayengo, Moatlhodi Kgosimore, Snehashish Chakraverty

“…In this paper, we propose and analyze a fuzzy model for the health risk challenges associated with alcoholism. …”
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Retracted: Modeling and Optimization of Ship Waste Heat Utilization System Based on Genetic Algorithm and Sensing by International Transactions on Electrical Energy Systems

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Mixture Aerosols Filtration on Filters with Wide Fibre Diameter Distribution — Comparison with Theoretical and Empirical Models by Mateusz Kamiński, Jakub M. Gac, Piotr Sobiech, Paweł Kozikowski, Tomasz Jankowski

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The Exponentiated Exponential-Inverse Weibull Model: Theory and Application to COVID-19 Data in Saudi Arabia by Majdah Mohammed Badr, Ghaida Sobahi

“…The purpose of this study is to introduce a new T-X family lifetime distribution known as exponentiated exponential-inverse Weibull, and we refer to this distribution as EE-IW. The new model’s basic mathematical characteristics are studied. …”
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Prediction of COVID-19 Confirmed, Death, and Cured Cases in India Using Random Forest Model by Vishan Kumar Gupta, Avdhesh Gupta, Dinesh Kumar, Anjali Sardana

“…The K-fold cross-validation is performed to measure the consistency of the model.…”
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Design of Interactive Media for Japanese M-Learning Based on Android Using UML and Waterfall Model by Apriade Voutama, Elfina Novalia

“…M-Learning is made using the Android programming language with UML (Unified Modeling Language) design analysis tools and the waterfall model. …”
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Optical Performance of Sodium Tungsten Bronze Particles in Transparent Matrix: An Ensemble Particle Modeling Study by Hao Tu, Da-Ren Chen

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Experimental verification of the results of the melts flow modeling, received with the help of the computer system “Prolit-1” by V. F. Sobolev, S. G. Lihouzov, F. S. Lukashevich, O. I. Chichko

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Comparative analysis of control methods with predictive models of six-phase permanent magnet synchronous motor by A. A. R. Rahim, S. N. Kladiev, S. Saeidi

Subjects: “…model predictive control…”
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Risk factors and prediction model construction of urinary tract infection in elderly patients with diabetic nephropathy by Cong Feng, Bo Yang, Linlang Liang

“…[Conclusion] Female, urinary catheter, HbA1c>7.5%, high Cys-C and low eGFR are the risk factors of urinary tract infection in elderly patients with diabetic nephropathy.The prediction model has clinical advantages in accuracy and consistency.…”
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Features of model coronaviruses distribution in feline organs and tissues in the context of COVID-19 pathogenesis study by V. N. Afonyushkin, O. E. Sysoeva, O. S. Kozlova, D. V. Shamovskaya

“…In the context of the analyzed model, theclinical case describedin the study allows principal possibility of exacerbation of chronic coronavirus infection in caseof re-infection (superinfection) and development of apredominantlylocal infection.…”
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Forecasting the number of rural migrant workers in Chongqing using the optimized grey N_Verhulst model by Dai Liu, Chengxiang He, Jianlong Ma

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Working-memory load decoding model inspired by brain cognition based on cross-frequency coupling by Jing Zhang, Tingyi Tan, Yuhao Jiang, Congming Tan, Liangliang Hu, Daowen Xiong, Yikang Ding, Guowei Huang, Junjie Qin, Yin Tian

“…Therefore, identifying working memory load is an essential area of research. Deep learning models have demonstrated remarkable potential in identifying the intensity of working memory load. …”
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Short-Term Origin-Destination Based Metro Flow Prediction with Probabilistic Model Selection Approach by Xiaoqing Dai, Lijun Sun, Yanyan Xu

“…In the experiments, we compare the proposed model with four other prediction models, i.e., autoregressive-moving-average, neural networks, support vector regression, and averaging ensemble model, as well as the basic models. …”
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The Seepage-Creep Numerical Simulation Model of Coal Measures Sandstone Based on Particle Discrete Element by Wang Liu, Fanfei Meng, Hai Pu, Jian Wang, Guohui Zhang, Qingyu Yi

“…In this study, a coupled numerical simulation model of particle flow code, computational fluid dynamics, and parallel-bounded stress corrosion (PFC-CFD-PSC model) was proposed to conduct the seepage-creep coupling simulation through PFC 5.0 software. …”
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The Effects of Renal Nerve Denervation on Blood Pressure and Target Organs in Different Hypertensive Rat Models by Demin Liu, Jing Wang, Haijuan Hu, Guoqiang Gu, Rui Ding, Ruiqin Xie, Wei Cui

“…In the secondary hypertension model, SD rats were randomly divided into five groups. …”
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Exploring the Credibility of Large Language Models for Mental Health Support: Protocol for a Scoping Review by Dipak Gautam, Philipp Kellmeyer

“…These models are increasingly integrated into various applications, including mental health support. …”
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