Decoding Imagined Speech from EEG Data: A Hybrid Deep Learning Approach to Capturing Spatial and Temporal Features.

Neuroimaging is revolutionizing our ability to investigate the brain's structural and functional properties, enabling us to visualize brain activity during diverse mental processes and actions. One of the most widely used neuroimaging techniques is electroencephalography (EEG), which records electrical activity from the brain using electrodes positioned on the scalp. EEG signals capture both spatial (brain region) and temporal (time-based) data.

Naturally occurring benzophenones and xanthones from (Planch. & Triana) Oliv. displayed anti-inflammatory effects by modulating the activities of inflammatory mediators in LPS-stimulated RAW 264.7 macrophages.

There is a growing interest in studying natural products for the identification of novel lead compounds for drug development for treating inflammatory diseases. Although some studies have focused anti-inflammatory activity of benzophenones and xanthones, exploring additional targets such as enzymes and cytokines, involved in their inflammatory response could provide more comprehensive understanding of the compounds' anti-inflammatory effects. In this study, four xanthones ananixanthone (), smeathxanthone A (), smeathxanthone B (), and 1,3,5,8-tetrahydroxy-2-(3-methybut-2-enyl)-4-(3,7-dimethyloct-2,6-dienyl) xanthone (); and three benzophenones guttiferone O (), guttiferone M (), and aristophenone A () from (Planch.

Awareness and Attitude Regarding Contact Lens Use Among Female Students at the University of Bisha: A Cross-Sectional Study.

Introduction: Given the growing popularity of contact lenses among female students in Saudi Arabia for various reasons including vision correction as well as aesthetic and therapeutic purposes, it is essential to understand the knowledge about them, their uses, and how to handle them, given their significance in healthcare.

Methods: A cross-sectional study design was utilized in this research, employing data from a sample of 413 female students at the University of Bisha. The participants completed a self-administered questionnaire and were ensured anonymity.

Prevalence and Patterns of Refractive Error Among School-Age Children in Bisha, Saudi Arabia.

Background: A widespread and serious eye condition is a refractive error (RE). Globally, uncorrected refractive defects affect numerous individuals, with some who are blind. Numerous studies in Saudi Arabia have been conducted to assess reflective error.

Chitosan-Coated Azithromycin/Ciprofloxacin-Loaded Polycaprolactone Nanoparticles: A Characterization and Potency Study.

Purpose: Antimicrobial resistance is a major health hazard worldwide. Combining azithromycin (AZ) and ciprofloxacin (CIP) in one drug delivery system was proposed to boost their antibacterial activity and overcome resistance. This study aims to improve azithromycin and ciprofloxacin activity by co-encapsulating them inside chitosan-coated polymeric nanoparticles and evaluating their antibacterial activity.

Unipolar and Bipolar Depression Detection and Classification Based on Actigraphic Registration of Motor Activity Using Machine Learning and Uniform Manifold Approximation and Projection Methods.

Modern technology frequently uses wearable sensors to monitor many aspects of human behavior. Since continuous records of heart rate and activity levels are typically gathered, the data generated by these devices have a lot of promise beyond counting the number of daily steps or calories expended. Due to the patient's inability to obtain the necessary information to understand their conditions and detect illness, such as depression, objectively, methods for evaluating various mental disorders, such as the Montgomery-Asberg depression rating scale (MADRS) and observations, currently require a significant amount of effort on the part of specialists.

Assessing Pediatric Inter-Hospital Transfer: A single-center, Retrospective, Observational Study of Saudi Arabia's National Life-Saving Protocol.

Objective: To examine the accuracy of our national Life-Saving Protocol (LSP). To the best of our knowledge, this is the first study addressing this issue in Saudi Arabia.

Background: LSP was created to facilitate triaging patients with LIFE or LIMB threatening conditions in peripheral hospitals with limited services to large regional hospitals to receive definitive care.

Thrombosis of intraorbital arterio-venous fistula.

A 65-year-old male patient presented with a rare arterio-venous fistula (AFV). The symptoms included congestion, decreased visual acuity, and proptosis. Further investigation revealed a non-traumatic intra orbital AFV with ophthalmic vein thrombosis.

Dementia Detection from Speech Using Machine Learning and Deep Learning Architectures.

Dementia affects the patient's memory and leads to language impairment. Research has demonstrated that speech and language deterioration is often a clear indication of dementia and plays a crucial role in the recognition process. Even though earlier studies have used speech features to recognize subjects suffering from dementia, they are often used along with other linguistic features obtained from transcriptions.

System, Space, Staff, and Stuff framework in establishing a new pediatric critical care unit (PICU) (4S Framework).

By virtue of being in a developing country with ongoing expanding of the healthcare system, establishing or at least renovating a Pediatric critical care unit (PICU) has become a necessity. As intensivists and healthcare providers, we excel at our job as clinicians; however, we perform less than perfect when it comes to participating in establishing new PICUs and deliberately building and designing an EBM and patient-centered PICU with a complete understanding of the technical and non-clinical processes during commissioning or operational phases like construction, physical layout (blueprint), Biomedical engineering aspects, equipment, supply, and work-environment enhancement. If all healthcare providers -and especially intensivists- avoid being involved actively in PICUs designing process at their institution, they will miss an opportunity to gain a new perspective as well as they might contribute to a fragmented process of ICU design and a suboptimal result that might impact the PICU environment, patient journey and eventually the quality of care in that ICU.

A Lethal Manifestation of Chronic Active Epstein-Barr Virus Infection: A Case Report.

Chronic active Epstein-Barr virus infection (CAEBV) is a rare and lethal condition caused by persistent Epstein-Barr virus (EBV) infection. Signs and symptoms of CAEBV infection include fever, lymphadenopathy, and hepatosplenomegaly. Due to life-threatening consequences such as multiple organ failure, hemophagocytic syndrome, EBV-positive lymphoproliferative illness, and coagulopathy, early identification is important for successful therapy.

A Case of a Female Patient Presenting With Idiopathic Granulomatous Mastitis With Superimposed Enterococcus Avium Infection.

Idiopathic granulomatous mastitis (IGM) is defined as an uncommon, benign, chronic inflammatory disease of unknown etiology that affects the breast and can mimic breast cancer. It usually manifests as a solid, ill-defined breast lump in postpartum women of reproductive age. Furthermore, because it lacks a particular radiographic finding, core biopsy and histology are the only ways to make a conclusive diagnosis.

Magnitude of diabetic peripheral neuropathy in Saudi Arabia: a systematic review and meta-analysis.

Background: Diabetic peripheral neuropathy (DPN), due to its potential for causing morbidity and disability from foot ulcers and amputations, is increasingly becoming a source of concern in Saudi Arabia and worldwide. However, wide variability exists in the prevalence of DPN reported in previous studies in Saudi Arabia, limiting the utility of existing data in national public health policy. Therefore, the aim of this study was to systematically evaluate the magnitude of DPN in patients living with DM in Saudi Arabia in order to inform policymakers during the implementation of appropriate preventive and treatment strategies for DPN.

Sign Language Recognition for Arabic Alphabets Using Transfer Learning Technique.

Sign language is essential for deaf and mute people to communicate with normal people and themselves. As ordinary people tend to ignore the importance of sign language, which is the mere source of communication for the deaf and the mute communities. These people are facing significant downfalls in their lives because of these disabilities or impairments leading to unemployment, severe depression, and several other symptoms.

Assessment of Emergency Department Satisfaction Level in Saudi Arabia General Hospital.

Background And Objectives: An overcrowded emergency department (ED) cannot meet the patients' growing demand. This situation harms employees' performance and, alternatively, causes anxiety and dissatisfaction among patients since the quality of healthcare outcomes fall below their expectations. This study aimed at improving and validating a scale for assessing patient satisfaction in the ED.

Convolution-Based Encoding of Depth Images for Transfer Learning in RGB-D Scene Classification.

Classification of indoor environments is a challenging problem. The availability of low-cost depth sensors has opened up a new research area of using depth information in addition to color image (RGB) data for scene understanding. Transfer learning of deep convolutional networks with pairs of RGB and depth (RGB-D) images has to deal with integrating these two modalities.

Exposure to cell phones reduces heart rate variability in both normal-weight and obese normotensive medical students.

Background: We investigated and compared the effect of the radiofrequency electromagnetic field (RF-EM) emitted by a cell phone on the electrocardiogram and heart rate variability (HRV) of normotensive normal-weight and obese medical students.

Method: Twenty medical student volunteers, normal weight (age = 23 ± 2, BMI = 23.05 ± 1.

To Decipher the Proteins Targeting into the Endoplasmic Reticulum and Their Implications in Prostate Cancer Etiology Using Next-Generation Sequencing Data.

Cancer was initially considered a genetic disease. However, recent studies have revealed the connection between bacterial infections and growth of different types of cancer. The enteroinvasive strain of alters the normal behavior of host cells that may result in the growth of prostate cancer.