Multibeam Antennas Based on 3-D Discrete Lenses With Magnified Field-of-View by Lisa Berretti, Renaud Loison, Esteban Menargues, Lucas Polo-Lopez, Giovanni Toso, Maria Garcia-Vigueras

“…Subsequently, a rigorous methodology exploiting boundary conditions in the planes of symmetry is implemented to simulate the full-wave behavior of the front array of the lens, which is challenging due to limited computational resources for large arrays. This methodology, which also exploits the even/odd concept, is validated using a small array as a test case. …”
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Self-Emulsifying Drug Delivery Systems (SEDDS): Transition from Liquid to Solid—A Comprehensive Review of Formulation, Characterization, Applications, and Future Trends by Prateek Uttreja, Indrajeet Karnik, Ahmed Adel Ali Youssef, Nagarjuna Narala, Rasha M. Elkanayati, Srikanth Baisa, Nouf D. Alshammari, Srikanth Banda, Sateesh Kumar Vemula, Michael A. Repka

“…Innovations such as personalized 3D-printed SEDDS, biologics delivery, and targeted systems demonstrate their potential for diverse therapeutic applications. Computational modeling and in silico approaches further accelerate formulation optimization. …”
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Identification of Plasma Proteins Associated with Alzheimer's Disease Using Feature Selection Techniques and Machine Learning Algorithms by Zakaria Mokadem, Mohamed Djerioui, Bilal Attallah, Youcef Brik

“…This study aims to use computational algorithms to explore the relationship between plasma proteins and AD progression by identifying a panel of plasma proteins that can serve as biomarkers for tracking and diagnosing AD. …”
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Differential gene expression profile in Porphyromonas gingivalis treated human gingival keratinocytes and their role in the development of HNSCC by Dakshinya M, Anitha P, A.S. Smiline Girija, Paramasivam A, Vijayashree Priyadharsini J

“…Methods: The study followed a computational design. Multiple tools and databases, such as GEOmnibus, STRING, Metascape, PANTHER, and UALCAN, cBioportal, were used to derive an association between gene expression during infection with P. gingivalis, and the resulting gene expression profiles were analyzed in the HNSCC dataset. …”
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Maximum power point tracking enhancement for PV in microgrids systems using dual artificial neural networks to estimate solar irradiance and temperature by Ahmad M.A. Malkawi, Zuhour A.B. Alsaqqa, Tareq O. Al-Mosa, Wa'el M. JadAllah, Mohannad M.H. Sadeddin, Ayman Al-Quraan, Mohammad AlMashagbeh

“…Where dual ANNs predict solar irradiance and temperature. Next, an adaptive computation block determines the maximum power point (MPP). …”
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Neural mechanisms of fairness decision-making: An EEG comparative study on opportunity equity and outcome equity by Qi Li, Ya Zheng, Jing Xiao, Kesong Hu, Zhong Yang

“…Moreover, we used a computational modeling approach to estimate the utility for each trial, and found that larger P2 amplitudes were associated with lower utility in opportunity distribution, while larger P300 amplitudes were associated with higher utility in outcome distribution. …”
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Adsorption isotherms in roasted specialty coffee (Coffea arabica L.): Dataset and statistical tools for optimizing storage conditions and enhancing shelf lifeMendeley Data by Gentil A. Collazos-Escobar, Andrés F. Bahamón-Monje, Nelson Gutiérrez-Guzmán

“…These tools offer valuable insights for researchers, coffee producers, and decision-makers in computing critical parameters related to roasted specialty coffee's shelf life, determining optimal packaging materials, and understanding the hygroscopic properties of coffee. …”
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Performance of a twin-intake diesel engine with a bionic functional surface during an intake process by Yunzhen Guo, Hailin Kui, Wenyu Liu, Jun Chen

“…The intake process of twins with different bionic functional surfaces is analyzed via computational fluid dynamics (CFD). Taking a visualized optical engine as the test platform, the turbulent motion in the cylinder of a diesel engine with different twin-intake combined bionic functional surfaces is studied with the help of particle image velocity (PIV). …”
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A study on the carbon emission reduction pathways of China’s digital economy from multiple perspectives by Xiaoyan Shi, Zhenhua Zhu, Jiaxin Wu, Zhijiang Li

“…As the share of the digital economy’s output continues to rise each year, the emergence of new industries such as e-commerce, mobile payments, and cloud computing has opened new avenues for carbon emission reduction (CER). …”
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Analysis of ADR reports of cetuximab based on the FDA adverse event reporting system database by Shuai Zhao, Yan Wang, Xiaoli Deng, Xi Chen, Zhaoyi Lu

“…The application of cetuximab resulted in AEs in 22 system organ classes (SOCs), which preserved 176 significant disproportionality preferred terms (PTs) through the computation of four algorithms. The main SOCs (Skin and subcutaneous tissue disorders, investigations, metabolism and nutrition disorders, and blood and lymphatic system disorders) accounted for 58.63%. …”
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Trends in Air Pollution in Europe, 2000–2019 by Wenche Aas, Hilde Fagerli, Andres Alastuey, Fabrizia Cavalli, Anna Degorska, Stefan Feigenspan, Hans Brenna, Jonas Gliß, Daniel Heinesen, Christoph Hueglin, Adéla Holubová, Jean-Luc Jaffrezo, Augustin Mortier, Marijana Murovec, Jean-Philippe Putaud, Julian Rüdiger, David Simpson, Sverre Solberg, Svetlana Tsyro, Kjetil Tørseth, Karl Espen Yttri

“…Abstract This paper encompasses an assessment of air pollution trends in rural environments in Europe over the 2000–2019 period, benefiting from extensive long-term observational data from the EMEP monitoring network and EMEP MSC-W model computations. The trends in pollutant concentrations align with the decreasing emission patterns observed throughout Europe. …”
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Optimization problems in liquefied natural gas transport and storage for multimodal transport companies by Hongyu Zhang, Yiwei Wu, Lu Zhen, Yong Jin, Shuaian Wang

“…To assess the efficiency of the linear model, we conduct computational experiments on small-scale instances with five inland cities, medium-scale instances with 15 inland cities, and large-scale instances with 60 inland cities. …”
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Learning-based pattern-data-driven forecast approach for predicting future well responses by Yeongju Kim, Baehyun Min, Alexander Sun, Bo Ren, Hoonyoung Jeong

“…Recently, data-driven forecast methods, such as data-space inversion (DSI) and a learning-based data-driven forecast approach (LDFA), have been introduced to mitigate the computational cost and geological constraint issues of history-matching methods. …”
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On the Considerations of Using Near Real Time Data for Space Weather Hazard Forecasting by A. W. Smith, C. Forsyth, I. J. Rae, T. M. Garton, C. M. Jackman, M. Bakrania, R. M. Shore, G. S. Richardson, C. D. Beggan, M. J. Heyns, J. P. Eastwood, A. W. P. Thomson, J. M. Johnson

“…., when we may see large induced currents) will help to mitigate the societal and financial costs. In recent years computational models have been created that can forecast hazardous intervals, however they generally use post‐processed “science” solar wind data from upstream of the Earth. …”
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A Hybrid Method of PROSAIL RTM for the Retrieval Canopy LAI and Chlorophyll Content of Moso Bamboo (<italic>Phyllostachys pubescens</italic>) Forests From Sentinel-2 MSI Data by Zhanghua Xu, Chaofei Zhang, Songyang Xiang, Lingyan Chen, Xier Yu, Haitao Li, Zenglu Li, Xiaoyu Guo, Huafeng Zhang, Xuying Huang, Fengying Guan

“…However, the main challenges of physical model-based methods for estimating LAI and CCC are the high computational cost and the fact that different combinations of canopy variables result in similar spectral reflectance for local minima. …”
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Impact of Corona Virus on The Life Status of Kurdish People Living in Kurdistan Region of Iraq by Pary M. Azize, Chia H. Sadiq, Lavin Luqman Othman

“…An online form (questionnaire) was used to collect the data among the researchers’ social media users, especially Facebook as the main platform. 643 participated in the study and filled out the form; however, 510 forms were accepted in terms of a statistical point of view. All statistical computations are enhanced using statistical method (SPSS 21). …”
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Inflammation mediates the adverse effects of urinary phthalate exposure on metabolic disease risk: Results from NHANES 2005–2016 by Chenyang Gu, Teng Yao, Chenxian Dong, Zuhai Chen, Wanting Wei, Xiaoju Li, Qiang Niu, Yizhong Yan, Yunhua Hu

“…Weighted quantile sum (WQS) regression and Quantile G-Computation (Qgcomp) models were used to further analyze the associations between mixed phthalate exposure and obesity and its complications. …”
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The comparative influence of climate change and demography in spatially distributed degree-day projections for France in the 21st century by Sylvain Cros, Philippe Drobinski, Louis-Gaëtan Giraudet, Johann Meulemans

“…We projected heating degree days (HDD) and cooling degree days (CDD) up to 2100 using EURO-CORDEX simulations and considering three sources of uncertainty: three different methods for computing HDD and CDD; two emission scenarios (RCP4.5 and RCP8.5); and two population projections. …”
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A review of quantum communication and information networks with advanced cryptographic applications using machine learning, deep learning techniques by R. Ramya, P. Kumar, D. Dhanasekaran, R. Satheesh Kumar, S. Amithesh Sharavan

“…Quantum information networks (QINs) enhance computing, sensing, and security capabilities over extended distances. …”
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The potential of Curcuma longa L. bioactive compounds as RSK inhibitors for the treatment of prostate cancer: in silico study by Olusola Olalekan Elekofehinti, Foluso Adeola Taiwo, Moses Orimoloye Akinjiyan, Ifeoluwa Rachael Adetoyi, Folasade Oluwatobiloba Ayodeji, Adedotun Olayemi Oluwatuyi, Oluwapelumi Nifesimi Akintoye, Idayat Oyinkansola Kehinde, Bolanle Esther Adedapo, Opeyemi Iwaloye

“…Methods Molecular docking and other computational analysis procedures using the Schrodinger suite were used to predict in silico the ability of bioactive compounds from turmeric (Curcuma longa) to bind effectively to RSK as potent inhibitors. …”
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