Statistical Analysis of Inverse Weibull based on Step-Stress Partially Accelerated Life Tests with Unified Hybrid Censoring Data by Amal Soliman Hassan, Abd ELwahab Hagag, Nader Metwally, Omar Hussein Sery

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Machine learning model to predicting synergy of ultrasonication and solvation impacts on crude oil viscosity by Nasir Khan, Mehdi Razavifar, Qazi Adnan Ahmad, Muhammad Siyar, Masoud Riazi, Waqar Khan, Jafar Qajar

“…Considering the significance of features, n-Heptane (0.54) and irradiation time (0.45) were the key predictors, with n-heptane showing slightly greater impact on error reduction. The application of this model to additional datasets from other oil fields shows significant promise for future research and practical implementation.…”
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Study on 2007–2021 Drought Trends in Basilicata Region Based on the AMSU-Based Soil Wetness Index by Raffaele Albano, Meriam Lahsaini, Arianna Mazzariello, Binh Pham-Duc, Teodosio Lacava

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A Bioimpedance-Based Device to Assess the Volume Conduction Properties of the Tongue in Neurological Disorders Affecting Bulbar function by Xuesong Luo, Hilda V. Gutierrez Pulido, Seward Rutkove, Benjamin Sanchez

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Enhanced power sharing and voltage regulation for islanded nano-satellite DC microgrids in spinning flight scenarios by Khalil Louassaa, Josep M. Guerrero, Baseem Khan, Muhammad Zain Yousaf, Mohamed Ali Zdiri, Liu Zhang, Rajkumar Sivanraju

“…Comprehensive validation through stability analysis, simulations, and experimental testing demonstrates superior performance versus conventional methods, with significant improvements in transient response speed, steady-state error reduction, and disturbance rejection capability. …”
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Coffee and tea consumption and glioma risk: a meta-analysis of cohort studies by Jinyu Pan, Chuan Shao, Hui Tang, Nan Wu

“…BackgroundResearch on the association between glioma risk and coffee and tea consumption remains inconclusive. …”
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Laser Phase Noise Tolerance in Direct Detection Optical OFDM Transmission Using Laser Linewidth Emulator by Y. N. Ali, Z. Zan

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Measurement properties of patient-reported outcome measures (PROMs) used in adult patients with chronic kidney disease: A systematic review. by Olalekan Lee Aiyegbusi, Derek Kyte, Paul Cockwell, Tom Marshall, Adrian Gheorghe, Thomas Keeley, Anita Slade, Melanie Calvert

“…<h4>Conclusions</h4>We suggest considering the KDQOL-36 for use in pre-dialysis patients; the KDQOL-SF or KDQOL-36 for dialysis patients and the ESRD-SCLTM for use in transplant recipients. However, further research is required to evaluate the measurement error, structural validity, responsiveness and patient acceptability of PROMs used in CKD.…”
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Application of a Multi‐Layer Artificial Neural Network in a 3‐D Global Electron Density Model Using the Long‐Term Observations of COSMIC, Fengyun‐3C, and Digisonde by Wang Li, Dongsheng Zhao, Changyong He, Yi Shen, Andong Hu, Kefei Zhang

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Bank Syariah Indonesia Share Price Prediction Using Fuzzy Time Series Model Lee Method by Luqmanul Hakiem Ajuna, Hendra H. Dukalang, Muhammad Ardi

“…The purpose of this study is to find out how the results of the prediction of the highest stock price of Bank Syariah Indonesia by using the FTS method lee model. This research uses the highest price value of Bank Syariah Indonesia shares, and the data analysis technique used in this study is descriptive statistical analysis Based on the results of research conducted obtained the results of the highest price prediction of Bank Syariah Indonesia daily shares for the next period is as of July 21, 2021 is $2,492.67 per share, and the fuzzy time series error rate using MAPE is 2.28263%.   …”
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Enhancing CYGNSS Soil Moisture Retrieval Accuracy by Considering the Lag Effect of Sun-Induced Fluorescence by Jinghui Liu, Xianyun Zhang, Xiaodong Deng, Hongquan Wang

“…The cyclone global navigation satellite system (CYGNSS) has emerged as a key focus in soil moisture (SM) retrieval research due to its high temporal resolution and quasi-global coverage. …”
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Exploring Global Interest in Propolis, Nanosilver, and Biomaterials: Insights and Implications for Dentistry from Big Data Analytics by Magdalena Sycińska-Dziarnowska, Liliana Szyszka-Sommerfeld, Krzysztof Woźniak, Gianrico Spagnuolo

“…<b>Background</b>: The growing demand for innovative biomaterials with antimicrobial properties has driven research into natural and synthetic compounds, such as propolis and nanosilver, known for their antimicrobial efficacy. …”
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Modelling flame-to-fuel heat transfer by deep learning and fire images by Caiyi Xiong, Zilong Wang, Xinyan Huang

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Prediction model of volume average diameter and analysis of atomization characteristics in electrostatic atomization minimum quantity lubrication by Dongzhou Jia, Changhe Li, Jiahao Liu, Yanbin Zhang, Min Yang, Teng Gao, Zafar Said, Shubham Sharma

“…Comparisons of the model results with the experimental VAD of the droplet confirm the error of the mathematical model to be less than 10%. …”
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Finite Element and Machine Learning-Based Prediction of Buckling Strength in Additively Manufactured Lattice Stiffened Panels by Saiaf Bin Rayhan, Md Mazedur Rahman, Jakiya Sultana, Szabolcs Szávai, Gyula Varga

“…The current research aimed to investigate the critical buckling load of a simply supported aerospace-grade stiffened panel made of additively manufactured cubic lattice unit cell arrays, namely simple cubic, face-centered cubic (FCC) and body-centered cubic (BCC) structures. …”
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Paediatric norms for photopic electroretinogram testing based on a large cohort of Chinese preschool children by Henry Ho-lung Chan, Sonia Seen-hang Chan, Kai Yip Choi

“…Cross-sectional investigations revealed associations between ERG, age, SER and AL, which were speculated to further implicate the role of retina in refractive error development.…”
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Assessment of Isometric Shoulder Strength in Swimmers: A Validation and Reliability Study of the ASH and iASH Tests by Hugo Ogando-Berea, Santiago Virgós-Abelleira, Pablo Hernandez-Lucas, Fernando Zarzosa-Alonso

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Cognitive link adaptation via modulation scheme classification in narrowband networks under AWGN and SUI channel conditions by Fatima Ismail, Sajid Gul Khawaja, Asad Mansoor Khan, Umer Hameed Shah, Muhammad Usman Akram, Arslan Shaukat

“…Performance of our proposed hierarchical framework was examined based on the Bit Error Rate (BER) and achievable data rate in different signal-to-noise ratio (SNR) situations. …”
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Unified estimation of rice canopy leaf area index over multiple periods based on UAV multispectral imagery and deep learning by Haixia Li, Qian Li, Chunlai Yu, Shanjun Luo

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Optimal fractional order automatic generation control including an excitation system for hybrid interconnected grids by Awadh Ba Wazir, Sultan Alghamdi, Abdullah Ali Alhussainy, Abdulraheem H. Alobaidi, N. Gowtham

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