Fabrication and assessment of ethosomes for effective transdermal delivery of loxoprofen by Sarah Abd Alhur, Hasanain Mahmood

“…Objective(s): To formulate and evaluate ethosomes for the transdermal delivery of loxoprofen, a potent non-steroidal anti-inflammatory drug (NSAID).Materials and Methods: Fifteen ethosomal formulations were created via thin-film hydration and probe sonication techniques, with variations in the amounts of egg yolk lecithin, ethanol, cholesterol (CHOL), Tween 80 (TW80), and propylene glycol (PG). …”
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A Daily Reference Crop Evapotranspiration Forecasting Model Based on Improved Informer by Junrui Pan, Long Yu, Bo Zhou, Junhong Zhao

“…Daily reference crop evapotranspiration (ET₀) is crucial for precision irrigation management, yet traditional prediction methods struggle to capture its dynamic variations due to the complexity and nonlinearity of meteorological conditions. …”
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Staff perspectives on independence and collaborative practices in the IRIS intervention: an evaluation in Swedish LSS residential homes by Sylvia Olsson, Carina Loeb, Munir Dag

“…Some staff members actively promoted independence by encouraging service users to perform everyday tasks on their own, while others performed these tasks for the service users due to practical considerations such as convenience and efficiency. Despite these variations, staff reported that service users still have the opportunity to make their own decisions regarding daily activities. …”
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Adsorption of various compounds onto nanooxides unmodified and differently pretreated by V. M. Gun'ko, O. K. Matkovsky

“…All these factors could affect the efficiency of practical applications of not only adsorbents but also polymer fillers, carriers, catalysts, etc. …”
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Effectiveness of the use of immune complex vaccine “Novamune” in the prevention of Gamboro's disease in egg poultry farming by V. V. Marchenko, A. V. Kolechko

“…All this has put significant pressure on animals with genetic potential to achieve higher profits and higher efficiency, which in turn increases the risk of infectious diseases. …”
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Challenges of Healthcare Systems in Saudi Arabia to Delivering Vision 2030: An Empirical Study From Healthcare Workers Perspectives by Al-Anezi FM

“…Unlike previous research, which has primarily focused on policy and structural reforms, this study provides empirical insights from healthcare workers, offering a frontline perspective on the barriers to effective healthcare transformation.Methods: A cross-sectional survey was conducted among 383 healthcare professionals from public and private hospitals. …”
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Modeling and Comparison of the Modified Ludzack–Ettinger Process with Septic Tank Integration for Wastewater Treatment in Small Communities Using GPS-X by Mitra Hosseini, Saba Majidi

“…Results: Removal efficiency of TSS, COD, TN, and TP for SEP-MLE processes were 96.7, 92.8, 68.3, and 47.1%, and for MLE were 98, 93.6, 69.3, and 52.9%, respectively. …”
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Hate Speech Detection and Online Public Opinion Regulation Using Support Vector Machine Algorithm: Application and Impact on Social Media by Siyuan Li, Zhi Li

“…A multi-level feature extraction framework integrates sentiment analysis via lexicon-based methods and BERT for advanced sentiment recognition. …”
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Life cycle assessment of structural glued laminated timber production with different dimensions and exposure conditions by Katsuyuki Nakano, Nobuaki Hattori, Masahiro Koide, Mai Imago, Yuta Yamada, Takuya Ogawa

“…A sensitivity analysis of the allocation methods revealed significant variations in the reported emissions, emphasizing the importance of methodological choices in LCA studies. …”
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MODELING OF BUSINESS PROCESSES FOR MANAGING INTEGRATIVE DIGITAL DEVELOPMENT OF ENTERPRISES by Оlena V. Vynogradova, Svitlana V. Lehominova, Aliona Yu. Goloborodko, Tetiana I. Nosova

“…The dependence of management efficiency and the achievement of positive outcomes on the synchronization of these flows has been revealed, taking into account possible temporary variations in the investment dynamics of each flow. …”
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RaNet: a residual attention network for accurate prostate segmentation in T2-weighted MRI by Muhammad Arshad, Chengliang Wang, Muhammad Wajeeh Us Sima, Jamshed Ali Shaikh, Salem Alkhalaf, Fahad Alturise

“…Accurate segmentation of the prostate in T2-weighted MRI is critical for effective prostate diagnosis and treatment planning. Existing methods often struggle with the complex textures and subtle variations in the prostate. …”
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Forecasting Day-Ahead Electricity Demand in Australia Using a CNN-LSTM Model with an Attention Mechanism by Laial Alsmadi, Gang Lei, Li Li

“…Accurate energy demand forecasting is vital for optimizing resource allocation and energy efficiency. Despite advancements in various prediction models, existing approaches often struggle to capture the complex, nonlinear relationships between temperature variations and electricity consumption. …”
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The Spatiotemporal Evolution of Geo-Disaster Resilience in China and the Impact Mechanism of Environmental Governance by Hao Zhu, Xing Zhu, Yong Li, Yibin Ao, Xugong Jia, Panyu Peng, Mingyang Li, Jiayue Li

“…This study innovatively constructs a resilience assessment framework that considers extreme climate and geo-disaster intensity, integrating various statistical methods, including the Super-Efficiency Slacks-Based Measure Data Envelopment Analysis (SBM-DEA) model, spatial Markov chains, and methods such as Geodetector and the Geographically and Temporally Weighted Regression (GTWR), to reveal the spatiotemporal evolution of geo-disaster resilience in China from 2007 to 2022, while also analyzing the mechanisms through which environmental governance influences resilience and its spatiotemporal variations. …”
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Integrated Additive Manufacturing Trajectory Control and Repair Management for Spiral Bevel Gear Using Fractional-Order PID and Adaptive Fuzzy Neural Inference System by Hiyam Adil Habeeb, Abdul Hadi Azman, Mohd Rizal Alkahari, Dzuraidah Abd Wahab, Nurhasyimah Abd Aziz

“…The ANFIS model achieves good overall tracking of amplitude variations and accurate classification of repair methods. …”
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Application of improved graph convolutional network for cortical surface parcellation by Jia Tan, Xiaomei Ren, Yong Chen, Xianju Yuan, Feiba Chang, Rui Yang, Chengqun Ma, Xiaoyu Chen, Miao Tian, Wei Chen, Zihong Wang

“…However, the cortical surface is a highly folded complex geometry, and large regional variations make the analysis of surface data challenging. …”
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kMetha-Mamba: K-means clustering mamba for methane plumes segmentation by Yuquan Liu, Hailiang Shi, Ke Cao, Shichao Wu, Hanhan Ye, Xianhua Wang, Erchang Sun, Yunfei Han, Wei Xiong

“…Finally, kMetha-Mamba utilizes a mamba-based decoder (MBD) with linear complexity and long-range dependencies to achieve high efficiency and precision segmentation. Extensive experiments on hyperspectral and multispectral datasets from different sensors have shown that kMetha-Mamba has the best performance compared to the state-of-the-art methods. …”
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Dysregulation of protein degradation and alteration of secretome in α-synuclein-exposed astrocytes: implications for dopaminergic neuronal dysfunction by Aishwarya Raj, Roon Banerjee, Vikram Holla, Nitish Kamble, Ravi Yadav, Pramod Kumar Pal, Indrani Datta

“…Methods Cellular models used were rat primary astrocytes alongside hiPSC-derived astrocytes, whose impact on rat primary dopaminergic neurons and the human SH-SY5Y cell line was investigated. …”
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Optimal Res-UNET architecture with deep supervision for tumor segmentation by Rahman Maqsood, Fazeel Abid, Jawad Rasheed, Jawad Rasheed, Jawad Rasheed, Onur Osman, Shtwai Alsubai

“…However, optimizing U-Net variants to enhance performance and computational efficiency remains challenging.ObjectiveTo develop an optimized Residual U-Net (Res-UNET) architecture enhanced by deep supervision techniques to improve segmentation accuracy of brain tumors on MRI datasets, specifically addressing challenges of conventional segmentation methods.MethodsThe study implemented a detailed evaluation of multiple U-Net variations, including basic U-Net, Res-UNet with Autoencoder regularization, and attention-enhanced U-Net architectures. …”
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Local-Global Feature Extraction Network With Dynamic 3-D Convolution and Residual Attention Transformer for Hyperspectral Image Classification by Qiqiang Chen, Zhengyang Li, Junru Yin, Wei Huang, Tianming Zhan

“…However, methods based on CNN pay insufficient attention to valuable pixels in 3-D HSI samples and cannot adapt to variations in these samples. …”
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Remote sensing of cyanobacterias with Sentinel-2 in the Salto Grande by J. Ramos, J. Ramos, J. L. Di-Laccio, J. Uzuriaga, N. Bonomo

“…This study uses images from the Sentinel-2 satellite to investigate different methods for detecting and monitoring cyanobacteria. …”
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