Introducing Extended Data on Terrorist Groups (EDTG), 1970 to 2016 by Hou, Dongfang

“…Unlike most extant group data sets, the extended data on terrorist groups (EDTG) is not tied to terrorist groups and attacks listed in the RAND terrorism data; rather, EDTG is linked to terrorist groups and attacks given in the Global Terrorism Database. …”
Get full text

Preprocessing Techniques for End-To-End Trainable RNN-Based Conversational System by Maziad, Hussein

“…Spoken dialogue system interfaces are gaining increasing attention, with examples including Apple’s Siri, Amazon’s Alexa, and numerous other products. …”
Get full text
Get full text
Get full text
Get full text

Urban Sustainability and Livability: An Analysis of Doha’s Urban-form and Possible Mitigation Strategies by Soud Al-Thani (18174334)

“…Doha is also a relatively low-density city where the main driver of its urban sprawl is the inhabitants’ deep-set desire for privacy, and hence, home ownership of single-family detached villas, which have become the predominant residential building-block of neighborhoods with little to no provisions of in-neighborhood community services and amenities such as basic shopping, health, education, and recreation. …”

D-Dimer, Fibrinogen, and IL-6 in COVID-19 Patients with Suspected Venous Thromboembolism: A Narrative Review by Islam Eljilany (14151588)

“…Primary manifestations of thrombotic events include deep vein thrombosis (DVT), disseminated intravascular coagulation (DIC) and pulmonary embo lism (PE). …”

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

Get full text

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%). …”
Get full text
Get full text
Get full text

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

Get full text

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.…”
Get full text
Get full text
Get full text
Get full text

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. …”