Patient Safety Attitudes Among Saudi Medical Students and Interns: Insights for Improving Medical Education.

Purpose: Patient safety (PS) is a basic principle of healthcare worldwide. In Saudi Arabia, medical colleges have integrated PS modules into their regular curricula. This study investigated undergraduate medical students' and interns' attitudes regarding PS at King Abdulaziz University (KAU), Jeddah.

Advanced PEI/PAN Membrane to Suppress Zinc Dendrite Growth in Zinc Metal Batteries.

Aqueous zinc-ion batteries (AZIBs) are a potential new technology in energy storage due to their high energy density, affordability, and environmental friendliness. The development of AZIBs is still hampered by unchecked zinc dendrite formation during cycling, which results in an unstable interface, a short cycling life, and a considerable capacity decline with security issues. Herein, we demonstrate a novel nanofiber membrane based on polyetherimide-polyacrylonitrile (PEI/PAN) polymer via electrospinning method with entangled nanofibers for AZIBs applications.

Identification of Suitable Mesh Size of Commercial Stainless-Steel for Electrochemical Oxygen Evolution Reaction.

The study examines the oxygen evolution reaction (OER) electrocatalytic efficiency of various stainless-steel mesh (SSM) sizes in electrolytic cells. Stainless steel is chosen due to its widespread availability and stability, making it an economically viable option. The primary objective of this investigation is to determine the optimal stainless-steel mesh size among those currently widely available on the market.

Advancements in Olive-derived Carbon: Preparation Methods and Sustainable Applications.

In the realm of material science, carbon materials, especially olive-derived carbon (ODC), have become vital due to their sustainability and diverse properties. This review examines the sustainable extraction and use of ODC, a carbohydrate-rich by-product of olive biomass. We focus on innovative preparation techniques like pyrolysis, which are crucial forenhancing ODC's microstructure and surface properties.

Prediction of side branch occlusion in bifurcational lesions during percutaneous coronary interventions by preprocedural coronary computed tomography using the CT bifurcation score.

Introduction: Coronary computed tomographic angiography (CCTA) is a highly diagnostically accurate non-invasive imaging method for a thorough evaluation of atherosclerotic plaques. Many CCTA-based imaging investigations concentrate on bifurcation lesions.

Aim: To determine whether intraprocedural side branch (SB) obstruction during the percutaneous coronary intervention (PCI) of lesions involving bifurcations might be predicted by preprocedural CCTA.

Perforated gallbladder in neonates with review of literature.

Introduction: Neonatal perforated gallbladder is a rare and implausible surgical emergency. Pneumoperitonium and neonatal intestinal obstruction are the main clinical presentations. Many cases of neonatal perforated gallbladder had no clear pathology.

The theranostic potentialities of bioavailable nanocurcumin in oral cancer management.

Background: Oral cancer, one of the most common cancers, has unimproved 5-years survival rate in the last 30 years and the chemo/radiotherapy-associated morbidity. Therefore, intervention strategies that evade harmful side effects of the conventional treatment modalities are of need. Herbal therapy as a complementary preventive/therapeutic modality has gained attention.

Cartilage tympanoplasty in the treatment of adhesive otitis media with and without Eustachian tube balloon dilatation.

Purpose: To compare cartilage tympanoplasty (CT) combined with eustachian tube balloon dilatation (ETBD) and cartilage tympanoplasty alone as a surgical treatment modality for adhesive otitis media (AdOM) in terms of graft healing, audiological outcomes, and impact on life style, using Chronic Otitis Media Outcome Test 15 (COMOT-15).

Methods: 50 patients with AdOM were randomly classified into 2 groups: 25 patients for cartilage tympanoplasty only (CT group) and 25 patients for cartilage tympanoplasty combined with eustachian tube balloon dilatation (CT + ETBD group). Clinical outcomes in both groups were compared at 3 and 6 months of follow up.

Rectovestibular fistula: Which surgical approach is suitable? A randomized controlled trial.

The management of a vestibular fistula is a challenge for pediatric surgeons. We compared four different operative techniques in terms of postoperative complications, continence, and cosmetic appearance. This prospective, randomized, comparative study included female children with rectovestibular fistulae who were selected from patients with Anorectal Malformations (ARMs) treated between January 2016 and July 2020.

Automated human cell classification in sparse datasets using few-shot learning.

Classifying and analyzing human cells is a lengthy procedure, often involving a trained professional. In an attempt to expedite this process, an active area of research involves automating cell classification through use of deep learning-based techniques. In practice, a large amount of data is required to accurately train these deep learning models.

Face mask recognition from audio: The MASC database and an overview on the mask challenge.

The sudden outbreak of COVID-19 has resulted in tough challenges for the field of biometrics due to its spread via physical contact, and the regulations of wearing face masks. Given these constraints, voice biometrics can offer a suitable contact-less biometric solution; they can benefit from models that classify whether a speaker is wearing a mask or not. This article reviews the Mask Sub-Challenge (MSC) of the INTERSPEECH 2020 COMputational PARalinguistics challengE (ComParE), which focused on the following classification task: Given an audio chunk of a speaker, classify whether the speaker is wearing a mask or not.

Deep Learning-Based Crowd Scene Analysis Survey.

Recently, our world witnessed major events that attracted a lot of attention towards the importance of automatic crowd scene analysis. For example, the COVID-19 breakout and public events require an automatic system to manage, count, secure, and track a crowd that shares the same area. However, analyzing crowd scenes is very challenging due to heavy occlusion, complex behaviors, and posture changes.

CORONA-Net: Diagnosing COVID-19 from X-ray Images Using Re-Initialization and Classification Networks.

The COVID-19 pandemic has been deemed a global health pandemic. The early detection of COVID-19 is key to combating its outbreak and could help bring this pandemic to an end. One of the biggest challenges in combating COVID-19 is accurate testing for the disease.

Conjoined twins: A report of four cases.

Background: Conjoined twin is a rarely seen congenital anomaly associated with significant morbidity and mortality. The most common types of conjoined twins are thoracopagus. Conjoined twins are either symmetrical twins or asymmetrical or heteropagus.

Interactive implementations of thermodynamics-based RNA structure and RNA-RNA interaction prediction approaches for example-driven teaching.

The investigation of RNA-based regulation of cellular processes is becoming an increasingly important part of biological or medical research. For the analysis of this type of data, RNA-related prediction tools are integrated into many pipelines and workflows. In order to correctly apply and tune these programs, the user has to have a precise understanding of their limitations and concepts.

Freiburg RNA tools: a central online resource for RNA-focused research and teaching.

The Freiburg RNA tools webserver is a well established online resource for RNA-focused research. It provides a unified user interface and comprehensive result visualization for efficient command line tools. The webserver includes RNA-RNA interaction prediction (IntaRNA, CopraRNA, metaMIR), sRNA homology search (GLASSgo), sequence-structure alignments (LocARNA, MARNA, CARNA, ExpaRNA), CRISPR repeat classification (CRISPRmap), sequence design (antaRNA, INFO-RNA, SECISDesign), structure aberration evaluation of point mutations (RaSE), and RNA/protein-family models visualization (CMV), and other methods.

Peripheral blood smear image analysis: A comprehensive review.

Peripheral blood smear image examination is a part of the routine work of every laboratory. The manual examination of these images is tedious, time-consuming and suffers from interobserver variation. This has motivated researchers to develop different algorithms and methods to automate peripheral blood smear image analysis.

Comparing non contrast computerized tomography criteria versus dual X-ray absorptiometry as predictors of radio-opaque upper urinary tract stone fragmentation after electromagnetic shockwave lithotripsy.

The objective of this study was to assess the value of dual X-ray absorptiometry (DXA) in comparison to non contrast computed tomography (NCCT) density as possible predictors of upper urinary tract stone disintegration by shock wave lithotripsy (SWL). This study included 100 consecutive patients, with solitary renal stone 0.5-2 cm or upper ureteral stone up to 1 cm.