Developing a Robust Model Based on the Gaussian Process Regression Approach to Predict Biodiesel Properties by Inna Pustokhina, Amir Seraj, Hafsan Hafsan, Seyed Mojtaba Mostafavi, S. M. Alizadeh

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Nano silica and meso silica extracted from rice husk waste utilized for enhancing leather properties by Ebtasam, Md. Nahid Bin Hasan, Rupok Kumar Nayak, Md. Ahsanul Haque Milon, Md. Farhad Ali

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Microbial Inoculants in Sustainable Agriculture: Advancements, Challenges, and Future Directions by Alondra María Díaz-Rodríguez, Fannie Isela Parra Cota, Luis Alberto Cira Chávez, Luis Fernando García Ortega, María Isabel Estrada Alvarado, Gustavo Santoyo, Sergio de los Santos-Villalobos

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Identification and Quantification of Emission Hotspots of Air Pollutants over Bhubaneswar: A Smart City in Eastern India by Saroj Kumar Sahu, Pallavi Sahoo, Poonam Mangaraj, Gufran Beig, Bhishma Tyagi, Basanta Samal, Ashirbad Mishra, Ravi Yadav

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Dataset of noise signals generated by smart attackers for disrupting state of health and state of charge estimations of battery energy storage systemsMendeley by Alaa Selim, Huadong Mo, Hemanshu Pota

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Power generation expansion planning with high penetration of geothermal energy – Potential, prospects and policy by Muhammad Amir Raza, Mahmoud Ahmad Al-Khasawneh, Yahya Z. Alharthi, Muhammad Faheem, Raza Haider, Laveet Kumar

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Internet of things enabled parking management system using long range wide area network for smart city by Waheb A. Jabbar, Lu Yi Tiew, Nadiah Y. Ali Shah

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Analysis of the circadian rhythm of biological processes in mouse liver and kidney by I. N. Podkolodnyy, N. N. Tverdokhleb, O. A. Podkolodnaya

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A Cloud-Based Optimized Ensemble Model for Risk Prediction of Diabetic Progression—An Azure Machine Learning Perspective by V. K. Daliya, T. K. Ramesh

“…The experiment is performed and implemented in Microsoft’s Azure cloud, using Azure Machine Learning service, that leverages the advantages of cloud computing with respect to scalability, security and its potential integration possibilities into IoT-based smart healthcare systems.This aspect highlights its versatility and impact with respect to remote monitoring of patients as well. …”
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Psychometric assessment of scales used to evaluate sexual assault prevention programming in the United States Air Force. by Kathryn E L Grimes, Nichole M Scaglione, Marni L Kan, Leah Frerichs, Christopher M Shea, Angela M Stover

“…We refined each scale based on factor analysis results and assessed internal consistency reliability by computing Cronbach's coefficient alpha for each scale in the overall sample, by sex, and by tailored SCC intervention group.…”
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Single cell transcriptomics in blood of patients with chronic obstructive pulmonary disease by Yeonjeong Heo, Jeeyoung Kim, Seok-Ho Hong, Woo Jin Kim

“…We compared the scRNA-seq data between the COPD and control groups using computational analysis. Functional analyses were performed using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses. …”
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Optimizing chitosan derived from Metapenaeus affinis: a novel anti-biofilm agent against Pseudomonas aeruginosa by Anali Riahi, Hadideh Mabudi, Elahe Tajbakhsh, Laleh Roomiani, Hasan Momtaz

“…This research aims to optimize chitosan derived from white shrimp (Metapenaeus affinis) using the Response Surface Methodology (RSM) computational approach. The objective is to investigate chitosan’s potential as a solution for inhibiting QS activity and biofilm formation in P. aeruginosa ATCC 10,145. …”
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Genetic diversity assessed in Ethiopian highland bamboo [Oldeania alpina (K. Schum) Stapleton] populations revealed by microsatellite markers by Muhamed Adem, Oumer Abdie, Tileye Feyissa, Dereje Beyene

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Differences in fatty infiltration in thigh muscles and physical function between people with and without knee osteoarthritis and similar body mass index: a cross-sectional study by Jessica B. Aily, Marcos de Noronha, Ricardo J. Ferrari, Stela M. Mattiello

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Qualitative financial modelling in fractal dimensions by Rami Ahmad El-Nabulsi, Waranont Anukool

“…However, these fractional financial models require computational tools and advanced analytical methods to solve the associated fractional Black–Scholes equations. …”
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Predicting branch retinal vein occlusion development using multimodal deep learning and pre-onset fundus hemisection images by Eun Young Choi, Dongyoung Kim, Jinyeong Kim, Eunjin Kim, Hyunseo Lee, Jinyoung Yeo, Tae Keun Yoo, Min Kim

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Behavioral and neuronal responses of two mouse species, Mus musculus and Mus spicilegus, to con- and heterospecific olfactory signals by E. V. Kotenkova, A. V. Romashchenko, A. N.  Maltsev

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Can One Predict Coronal Mass Ejection Arrival Times With Thirty‐Minute Accuracy? by Gábor Tóth, Bart van derHolst, Ward Manchester IV

“…Here, we show that combining their results with the Richardson extrapolation (Richardson & Gaunt, 1927, https://doi.org/10.1098/rsta.1927.0008), which is a standard technique in computational fluid dynamics, could predict the CME arrival time with 0.2 ± 0.26 hr accuracy. …”
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Numerical analysis of transonic flow over the FFA-W3-211 wind turbine tip airfoil by M. C. Vitulano, M. C. Vitulano, D. De Tavernier, G. De Stefano, D. von Terzi

“…The results are obtained by means of the application of numerical tools: (1) XFOIL with the Prandtl–Glauert compressible correction and (2) computational fluid dynamic (CFD) simulations, where an unsteady Reynolds-averaged Navier–Stokes (URANS) model is used. …”
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Participation of Energy Storage Batteries in Primary Frequency Control for Power Grid Considering Dynamic Frequency Inertia Characteristics by CAI Zhenhua, LI Canbing, YANG Tongguang, WEI Juan, GE Rui, LI Lixiong

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