Anomaly Detection on Smart Grids With Optimized Convolutional Long Short-Term Memory Model by Ahmad N. Alkuwari (22392226)

“…<p dir="ltr">The integration of digital technologies into traditional power systems has increased the efficiency and sustainability of power grids, transforming traditional grids into smart grids. …”

A Fast and Robust Gas Recognition Algorithm Based on Hybrid Convolutional and Recurrent Neural Network by Xiaofang Pan (1895950)

“…In addition, the aforesaid accuracy can be further improved by increasing the response time with the step of 0.5 s. …”

Effect of Concrete Type on Flexural Behavior of Concrete Beams Reinforced with HSS Bars by Aldabagh, Saif Maad

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Rapid mercury removal using living indigenous microalgal communities for water treatment applications by Amr Nasr Fekry (22521185)

“…Comprehensive isotherm analysis revealed the Dubinin-Radushkevich model provided the best fit (R² = 0.998), indicating physical adsorption as the predominant mechanism, as the calculated mean free energy (E = 5.00 kJ/mol) falls within the 1–8 kJ/mol range characteristic of physical adsorption. …”

The lung protein that tells all by Nature Research (16552612)

“…Lung function is generally tested using a spirometer, which involves taking a very deep breath then exhaling forcefully into the device. …”

Application of Fe₃O₄ magnetite nanoparticles grafted in silica (SiO₂) for oil recovery from oil in water emulsions by Wamda Faisal Elmobarak (17058024)

“…Demulsification process best fits the combined Langmuir-Freundlich (L-F) isotherm with highest adsorption capacity (Q_max) of 186.0 ± 5 mg_oil/g_MD compared to 86.0 ± 5 mg_oil/g_MD for Fe₃O₄, which is 1.1 folds greater than Q_max reported in the literature for other demulsifiers.…”

Masked phenomenon: renal and cardiovascular complications; review and updates by Elmukhtar Habas (14777677)

“…The masked phenomenon (MP) (MHTN and MUHTN) increases susceptibility to end-organ damage (a two-fold greater risk for cardiovascular events and kidney dysfunction). …”

Investigation of the Effect of Imatinib and Hydroxyurea Combination Therapy on Hematological Parameters and Gene Expression in Chronic Myeloid Leukemia (CML) Patients by Esraa K. Al-Amleh (16023071)

“…With regards to the treatment effect on hematological parameters, notably in CML patients in later stages, the combination therapy (HU + IM) raised lymphocyte count, indicating a greater response to the treatment. When compared to single medicines, the combination treatment reduced the proportion of neutrophils to normal reference ranges. …”

Risk of venous thromboembolism outweighs post-hepatectomy bleeding complications by Tzeng, Ching-Wei

“…Complications included deep vein thrombosis (DVT) (1.93%), pulmonary embolism (PE) (1.31%), venous thromboembolism (VTE) (2.88%), postoperative transfusion (0.76%) and ROR with transfusion (0.44%). …”
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Artificial Intelligence-Based Methods for Precision Cardiovascular Medicine by Farida Mohsen (16994682)

“…A variety of machine learning models were utilized in these studies, with logistic regression being the most used (36%), followed by random forest (32%), support vector machine (25%), and deep learning models such as neural networks (18%). …”

Effect of Basalt Fibers on The Flexural Behavior of Beams Reinforced With BFRP Bars by AlHafiz, Abdul Rahman M.Musif

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Single-Cell Transcriptome Analysis Revealed Heterogeneity and Identified Novel Therapeutic Targets for Breast Cancer Subtypes by Radhakrishnan Vishnubalaji (3563306)

“…Given the aggressive nature and lack of targeted therapies for TNBC, elevated expression of ENO1, FDPS, CCT6A, TUBB2A, and PGK1 predicted worse relapse-free survival (RFS) in basal BC (n = 442), while elevated expression of ENO1, FDPS, CCT6A, and PGK1 was observed in the most aggressive BLIS TNBC subtype. …”

A multi-targeted approach to identify potential flavonoids against three targets in the SARS-CoV-2 life cycle by Sanjay Kumar (8853)

“…These observations were complimented by the 100 ns molecular dynamics simulation and binding free energy analysis, which showed a considerable stability of docked bioflavonoids in the active site of SARS-CoV-2 target proteins. …”

Attitudes, motivators, and barriers toward influenza vaccination for children: a study from a conflict-ridden country by Wesam S. Ahmed (10170053)

“…<h3>Background</h3><p dir="ltr">Despite the increased recommendations for influenza vaccination, particularly among high-risk groups such as young children, Yemen lacks an influenza vaccination program, and the influenza vaccine is not included in the national immunization regime. …”

Incidence of Sedation-Related Complications With Propofol Use During Advanced Endoscopic Procedures by Azar, Riad

“…Independent predictors of AMs included male sex, American Society of Anesthesiologists class of 3 or higher, and increased body mass index.…”
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Cancer cell plasticity: from cellular, molecular, and genetic mechanisms to tumor heterogeneity and drug resistance by Gh Rasool Bhat (13038132)

“…This diversity, known as cancer cell plasticity, confers cancer cells the ability to change in response to their environment, leading to increased tumor diversity and drug resistance. This review explores the intricate landscape of cancer cell plasticity, offering a deep dive into the cellular, molecular, and genetic mechanisms that underlie this phenomenon. …”

An End-to-End Concatenated CNN Attention Model for the Classification of Lung Cancer With XAI Techniques by Fariha Haque (21485518)

“…<p dir="ltr">In the field of medical imaging, deep learning (DL) techniques have made significant contributions to the detection and classification of various cancers. …”

Introducing a Novel Figure of Merit for Evaluating Stability of Perovskite Solar Cells: Utilizing Long Short-Term Memory Neural Networks by Zahraa Ismail (22457644)

“…Future research should prioritize using experimental datasets to achieve more realistic predictions, thereby driving innovation and unlocking the full potential of machine learning and deep learning in optimizing PSC design and performance.…”

Mapping online hate: A scientometric analysis on research trends and hotspots in research on online hate by Ahmed Waqas (687129)

“…Moreover, we identified four main clusters of OHR: (1) <i>Cyberbullying</i>, (2) <i>Sexual solicitation and intimate partner violence</i>, (3) <i>Deep learning and automation</i>, and (4) <i>Extremist and online hate groups</i>, which highlight the cross-disciplinary and multifaceted nature of OHR as a field of research. …”

Osmotically assisted reverse osmosis: Assessing pretreatment on hypersaline produced water by Mashael Al-Maas (14152386)

“…<p>In a rapidly developing oil and gas industry, sustainable management of produced water (PW) is a key challenge. Due to increasing environmental regulations, the industry is driven towards reducing volumes of PW requiring deep well injection and maximizing beneficial reuse. …”