Investigating the impact of social media advertising and risk factors on customer online buying behavior: a trust-based perspective by Riffut Jabeen, Kashif Ullah Khan, Fahad Zain, Fouzia Atlas, Farhan Khan

“…To ensure a high response rate, an online questionnaire was distributed via email, WhatsApp, and social media groups of online buyers. …”
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Hybrid Deep Learning Approach for Automated Sleep Cycle Analysis by Sebastián Urbina Fredes, Ali Dehghan Firoozabadi, Pablo Adasme, David Zabala-Blanco, Pablo Palacios Játiva, Cesar A. Azurdia-Meza

“…This study presents a hybrid neural network architecture composed of convolutional neural network (CNN) layers, bidirectional long short-term memory (BiLSTM) layers, and attention mechanism layers in order to process large volumes of EEG data in PSG files. The objective is to design a framework for automated feature extraction. …”
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Traceability Method for the Causes of Abnormal Electricity Prices Based on Comparative Analysis of Key Features by Weijia ZHAO, Yunxiao BAI, Yunyong ZHANG, Zhirun ZHU, Mingxu XIANG

“…The effectiveness of the proposed methodin is verified through case studies based on numerous actual power market data. The average accuracy rate of the proposed method for tracing the causes of average electricity price anomalies and spike anomalies reaches more than 85%, which can effectively reduce the labor costs in the process of tracing the causes of abnormal electricity prices.…”
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A novel interpreted deep network for Alzheimer’s disease prediction based on inverted self attention and vision transformer by Wardah Ibrar, Muhammad Attique Khan, Ameer Hamza, Saddaf Rubab, Omar Alqahtani, M. Turki-Hadj Alouane, Sokea Teng, Yunyoung Nam

“…The fused features are finally classified using a shallow wide neural network and other classifiers. The experimental process was conducted on an augmented MRI dataset, and 96.1% accuracy and 96.05% precision rate were obtained. …”
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Transfer learning for predicting of gross domestic product growth based on remittance inflows using RNN-LSTM hybrid model: a case study of The Gambia by Haruna Jallow, Ronald Waweru Mwangi, Alieu Gibba, Herbert Imboga

“…Insights into the magnitude and performance of an economy are crucial, with the growth rate of real GDP frequently used as a key indicator of economic health, highlighting the importance of the Gross Domestic Product (GDP). …”
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Geophysical exploration to assess leachate percolation and aquifer protectivity within hydrogeological units at a major open dump in Eket, Nigeria by Ndifreke I. Udosen, Aniekan M. Ekanem, Nyakno J. George

“…WINRESIST software was employed to process the sounding data and RES2DINV was employed to generate 2D tomograms indicating subsurface heterogeneity. …”
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THE ROLE OF AGRICULTURE IN ROMANIA'S ECONOMY IN THE PERIOD 2013-2022 by Sorin IONITESCU

“…The data were processed using fixed and structural indices, regression equations, determination coefficient, graphical illustrations and comparisons. …”
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4 Pattern Recognition for Healing Burns to Compute Evidence: Space Syntax and Machine Learning Analysis of Burns Center Karachi by Javaria Manzoor Shaikh, JaeSeung Park

“…In this experiment we lowered the adverse events from 2012- 2013, and nearly missed errors and prevented medical deaths up to 50% lower, as compared to the data of 2005- 2012 before this technique was incorporated. …”
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Surface and quantum chemical parameters of nickel oxide nanostructures suited for ultraviolet-assisted cationic dye degradation by G. Rathika, R. Jagadeeswari, T. Sathiyapriya, P. Selvakumar

“…The chemical properties of NiO were investigated through density functional theory calculations, and the results aligned well with experimental data. Furthermore, a comparative analysis of the photodegradation of methylene blue (MB) and rhodamine B (RhB) in the presence of UV light was examined, and it followed pseudo-first-order rate kinetics with degradation efficiencies of 82.62% (MB) and 71.31% (RhB), respectively. …”
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Detection and classification of hypertensive retinopathy based on retinal image analysis using a deep learning approach by Bambang Krismono Triwijoyo, Ahmat Adil, Muhammad Zulfikri

“…The dataset is divided into 60 % training and 40 % validation data. The next step is the image analysis process, which involves extracting retinal blood vessels using the Otsu segmentation algorithm. …”
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Computational hybrid analysis of drug diffusion in three-dimensional domain with the aid of mass transfer and machine learning techniques by Mohammed Alqarni, Ali Alqarni

“…The mass transfer equation including diffusion is solved in the domain and then the data is extracted for building machine learning models. …”
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Glucoseinsulin Mixture as a Cardioprotective Agent in Cardiology and Cardiac Surgery (Review) by I. A. Kozlov, T. V. Klypa

“…Possible mechanisms of action of the glucose-insulin-potassium mixture in acute ischemia and myocardial infarction were analyzed (normalization of electrical processes on the cardiomyocyte membrane, replenishment of metabolic substrates and increased production rate of adenosine triphosphoric acid due to glycolysis, decreased intensity of non%esterified fatty acid oxidation, decreased apoptosis, etc.). …”
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Evaluating fomite risk of brown paper bags storing personal protective equipment exposed to SARS-CoV-2: A quasi-experimental study. by Kyirsty Unger, Leslie Dietz, Patrick Horve, Kevin Van Den Wymelenberg, Amber Lin, Erin Kinney, Bory Kea

“…<h4>Results</h4>A total of 177 swabs were processed from 30 PPE samples. We found a 6.8% positivity rate among all samples across both collection sites. …”
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The Effectiveness of Collaborative Centralized Information Systems in Project Management: A Pilot Demonstration of a Multifunctional Building in Africa by Fábio Oliveira Santos, Nuno Lacerda Lopes

“…In the current context of transformation within the Architecture, Engineering, and Construction (AEC) sector, and the growing adoption of interdisciplinary collaboration processes such as Integrated Project Delivery (IPD) and Building Information Modeling (BIM), information management systems are crucial to ensure both the security and reliability of data, and its effective distribution among project stakeholders. …”
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CLIP-BCA-Gated: A Dynamic Multimodal Framework for Real-Time Humanitarian Crisis Classification with Bi-Cross-Attention and Adaptive Gating by Shanshan Li, Qingjie Liu, Zhian Pan, Xucheng Wu

“…Hierarchical learning rate scheduling and multidimensional data augmentation further optimize feature fusion for real-time multiclass classification. …”
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Breaking and Healing: GAN-Based Adversarial Attacks and Post-Adversarial Recovery for 5G IDSs by Yasmeen Alslman, Mouhammd Alkasassbeh, Mohammad J. Abdel-Rahman

“…Generative adversarial networks (GANs) have advanced rapidly in data augmentation and generation, and researchers have been exploring their applications in other areas, including adversarial attack generation. …”
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Use of behavioural and physiological responses for scoring sound sensitivity in dogs. by Carla Caroline Franzini de Souza, Daniel Penteado Martins Dias, Raquel Nascimento de Souza, Magda Alves de Medeiros

“…The cardiac intervals were recorded using a frequency meter (Polar® RS800CX model) to evaluate the HRV, and the acquired data were processed using CardioSeries 2.4.1 software. …”
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Pre- and post-COVID-19 antimicrobial resistance profile of bacterial pathogens, a comparative study in a tertiary hospital by Mohammed H Taleb, Abdelraouf A Elmanama, Alaa H Taleb, Mahmoud M Tawfick

“…These data were analysed and compared by Chi square test using Statistical Package for Social Sciences (SPSS) Program. …”
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Azithromycin removal from water via adsorption on drinking water sludge-derived materials: Kinetics and isotherms studies. by Camilo C Castro-Jiménez, Julio C Saldarriaga-Molina, Edwin F García, Ricardo A Torres-Palma, Nancy Acelas

“…In synthetic wastewater, the rate of AZT removal increased to 80%, in comparison, in a real effluent of a municipal wastewater treatment plant, an AZT removal of 56% was obtained. …”
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MicroRNAs involved in colorectal cancer, a rapid mini-systematic review by Sogol Shirzad, Majid Eterafi, Zeinab Karimi, Mahdi Barazesh

“…Abstract Introduction Colorectal cancer (CRC) involves the uncontrolled proliferation of glandular epithelial cells in the colon or rectum. The high mortality rate associated with CRC has driven extensive research into innovative diagnostic and therapeutic strategies. …”
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