Rotating charged black holes in EMS theory: shadow studies and constraints from EHT observations by Odil Yunusov, Javlon Rayimbaev, Furkat Sarikulov, Muhammad Zahid, Ahmadjon Abdujabbarov, Zdeněk Stuchlík

“…First, we obtain a rotating EMS black hole solution and analyze the horizon properties. …”
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Percolation analysis for constructing a robust modular topology based on a binary-dynamics model by Shinya Toyonaga, Daichi Kominami, Masayuki Murata

“…We add a new tool to a binary-dynamics model which is an analytical method for investigating percolation dynamics on a modular network. …”
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Multiple Equilibrium Behaviors considering Human Exposure to Vehicular Emissions by Zhanbo Sun, Yu Tan, Rui Ma, Xia Yang, Jie Zhang

“…We then study the multiple equilibrium behaviors with multiple types of users on a traffic network. …”
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Counting Periodic Points in Parallel Graph Dynamical Systems by Juan A. Aledo, Ali Barzanouni, Ghazaleh Malekbala, Leila Sharifan, Jose C. Valverde

“…In addition, we provide a formula that allows us to calculate the exact number of fixed points. …”
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Path–Based Continuous Spatial Keyword Queries by Fangshu Chen, Pengfei Zhang, Chengcheng Yu, Huaizhong Lin, Shan Tang, Xiaoming Hu

“…In this paper, we study the path based continuous spatial keyword queries, which find the answer set continuously when the query point moves on a given path. …”
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Evolution of infectious diseases induced by epidemic prevention publicity and interaction between heterogeneous strains by Yike Lv, Xinzhu Meng

“…We utilize adaptive dynamics to investigate the evolutionary outcomes of the trade-off between transmission and virulence. …”
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Comparison of Weighted Lag Adaptive LASSO with Autometrics for Covariate Selection and Forecasting Using Time-Series Data by Sara Muhammadullah, Amena Urooj, Faridoon Khan, Mohammed N Alshahrani, Mohammed Alqawba, Sanaa Al-Marzouki

“…In order to reduce the dimensionality of parameter space and enhance out-of-sample forecasting performance, this research compares regularization techniques with Autometrics in time-series modeling. We mainly focus on comparing weighted lag adaptive LASSO (WLAdaLASSO) with Autometrics, but as a benchmark, we estimate other popular regularization methods LASSO, AdaLASSO, SCAD, and MCP. …”
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Evaluation of Performance of Different Methods in Detecting Abrupt Climate Changes by Chunyu Zhao, Yan Cui, Xiaoyu Zhou, Ying Wang

“…We compared and evaluated the performance of five methods for detecting abrupt climate changes using a time series with artificially generated abrupt characteristics. …”
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Designing an integrated model for innovative goods order fulfillment in a assemble-to-order system considering uncertainty in demand by Babak Javadi, Sasan Taslimi, Niloofar Abdolmaleki

“…In this study, we focus on the production of innovative goods facing uncertain demand within an order-based assembly system featuring multiple products and periods. …”
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Uniform boundedness of $ (SL_2(\mathbb{C}))^{n} $ and $ (PSL_2(\mathbb{C}))^{n} $ by Fawaz Aseeri

“…Let $ G $ be a group and $ S $ be a subset of $ G. $ We say that $ S $ normally generates $ G $ if $ G $ is the normal closure of $ S $ in $ G. $ In this situation, every element $ g\in G $ can be written as a product of conjugates of elements of $ S $ and their inverses. …”
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The Effect of the Film Thickness, Cooling Rate, and Solvent Evaporation on the Formation of <i>L</i>-Menthol Ring-Banded Spherulites by Tamás Kovács, Tamás Kovács, Márton Detrich, Ferenc Gazdag, Masaki Itatani, István Lagzi

“…We found that the film thickness and cooling rate strongly influence the generation of crystallization patterns. …”
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Robust CNN for facial emotion recognition and real-time GUI by Imad Ali, Faisal Ghaffar

“…To train the model, we joined the datasets, namely JAFFE and KDEF. We allocated 90% of the data for training, reserving the remaining 10% for testing purposes. …”
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Strong barrier coverage of directional sensor networks with mobile sensors by Lu Zhao, Guangwei Bai, Hang Shen, Zhenmin Tang

“…First, we derive the critical condition for mobile deployment. …”
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Autoimmune Gastrointestinal Paralysis: Failure of Conventional Treatment without Immunomodulation by Craig Weinkauf, Sean McPhillips, Robert Krouse, Ira Levine

“…After an extensive work-up that included laparoscopy and celiotomy with bowel resection, we diagnosed what we refer to as Autoimmune Paraneoplastic Chronic Intestinal Pseudoobstruction (AP-CIPO). …”
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The spatial buildup of nonlinear compression in the cochlea by Kostas Kondylidis, Kostas Kondylidis, Anna Vavakou, Anna Vavakou, Marcel van der Heijden

“…We found that the amount of compression grew gradually in an intensity-dependent fashion along our measurement stretch, as we moved apically toward the place of maximum vibration. …”
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Searching for the cellular underpinnings of the selective vulnerability to tauopathic insults in Alzheimer’s disease by Justin Torok, Pedro D. Maia, Chaitali Anand, Ashish Raj

“…We also identified oligodendrocytes as the single-most strongly negatively associated cell type. …”
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Moor: Model-based offline policy optimization with a risk dynamics model by Xiaolong Su, Peng Li, Shaofei Chen

“…Specifically, we construct a risk dynamics model using a quantile network that can learn the risk information of data, then we reshape model-generated data based on errors of the risk dynamics model and the risk information of data. …”
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BPS Equations of Monopole and Dyon in SU(2) Yang-Mills-Higgs Model, Nakamula-Shiraishi Models, and Their Generalized Versions from the BPS Lagrangian Method by Ardian Nata Atmaja, Ilham Prasetyo

“…We apply the BPS Lagrangian method to derive BPS equations of monopole and dyon in the SU2 Yang-Mills-Higgs model, Nakamula-Shiraishi models, and their generalized versions. …”
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Comparison of Continuous-Time Partial Markov Chain Construction by Heuristic Algorithms for Purpose of Approximate Transient Analysis by Eimutis Valakevičius, Mindaugas Bražėnas, Tomas Ruzgas

“…We investigate the construction of a partial absorbing continuous-time Markov chain (CTMC) using a heuristic algorithm aimed at approximate transient analysis. …”
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Convolutional neural network prediction of the particle size distribution of soil from close-range images by Enrico Soranzo, Carlotta Guardiani, Wei Wu

“…Accurate soil particle size distributions are essential for various geotechnical applications. In this study, we propose a convolutional neural network approach for predicting the particle size distribution using soil image analysis. …”
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