The impact of common and rare genetic variants on bradyarrhythmia development.

To broaden our understanding of bradyarrhythmias and conduction disease, we performed common variant genome-wide association analyses in up to 1.3 million individuals and rare variant burden testing in 460,000 individuals for sinus node dysfunction (SND), distal conduction disease (DCD) and pacemaker (PM) implantation. We identified 13, 31 and 21 common variant loci for SND, DCD and PM, respectively.

Compact wearable microstrip antenna design using hybrid quasi-Newton and Taguchi optimization.

A novel approach is introduced for designing a miniaturized wearable antenna. Utilizing Taguchi's philosophy typically entails numerous experimentations runs, but our method significantly reduces these by employing a quasi-Newton approach with gradient descent to estimate process parameter ranges. This hybrid technique expedites convergence by streamlining experiments.

Magnetic Janus SiO nanoparticles immobilized protease mutant T70I as a novel clarification agent for juice processing.

The juice processing industry offers several benefits, including promoting health and wellness through the delivery of beverages rich in nutrients. Nonetheless, the industry encounters significant challenges regarding new technologies for processing and preservation given that they can be costly and labor-intensive. In this study, magnetic Janus silica (SiO) nanoparticle which offers multifunctionality and high stability was synthesized and subsequently immobilized with a protease mutant T70I (T70I@MSNs) to serve as a clarifying agent in juice.

Finding potential inhibitors from phytochemicals against nucleoprotein of crimean congo fever virus using in silico approach.

The Crimean Congo virus has been reported to be a part of the spherical RNA-enveloped viruses from the Bunyaviridae family. Crimean Congo fever (CCHF) is a fatal disease with having fatality rate of up to 40%. It is declared endemic by the World Health Organization.

Employing splice-switching oligonucleotides and AAVrh74.U7 snRNA to target insulin receptor splicing and cancer hallmarks in osteosarcoma.

Patients with osteosarcoma (OS), a debilitating pediatric bone malignancy, have limited treatment options to combat aggressive disease. OS thrives on insulin growth factor (IGF)-mediated signaling that can facilitate cell proliferation. Previous efforts to target IGF-1R signaling were mostly unsuccessful, likely due to compensatory signaling through alternative splicing of the insulin receptor () to the proliferative isoform.

Designing a blockchain technology platform for enhancing the pre-exposure prophylaxis care continuum.

Objectives: Pre-exposure prophylaxis (PrEP) is a key biomedical intervention for ending the HIV epidemic in the United States, but its uptake is impeded by systemic barriers, including fragmented workflows and ineffective data coordination. This study aims to design PrEPLinker, a blockchain-based, client-centered platform to enhance care to address these challenges by improving care coordination and enabling clients to securely manage their identity and PrEP-related data.

Materials And Methods: Using Houston, Texas, as a use case, we conducted a needs assessment with PrEP collaborators to evaluate existing workflows and identify barriers in the PrEP care continuum.

Diversity in crisis: The impact of race and ethnicity on failure to rescue among geriatric trauma patients over the years.

Background: Failure to rescue (FTR) is an indicator of the quality of care provided by trauma centers. The aim of this study was to examine the trends of FTR incidence in geriatric trauma patients over the years and to determine whether race, ethnicity, and sex impact the FTR incidence.

Methods: This is a retrospective analysis of the American College of Surgeons Trauma Quality Improvement Program database over 4 years (2017-2020).

Antimicrobial and Hepatoprotective Properties of Pods of (L.) Willd. ex Delile: and Approaches.

Background: is a multipurpose plant known for its remedial properties but the antimicrobial and hepatoprotective activity of its pods remained unexplored.

Objective: This study aimed to evaluate the antimicrobial and hepatoprotective activity of n-hexane (ANPH) and methanol (ANPM) extracts of pods to scientifically validate their medicinal claims.

Methods: After the pharmacognostic evaluation of pods, tests were carried out to estimate phenolic and flavonoid content and antimicrobial potential.

Compression ratio: a novel method to quantify compressibility as a diagnostic measurement in giant cell arteritis.

Objectives: Ultrasonographic assessment of giant cell arteritis (GCA) relies on the demonstration of a non-compressible halo. Several ultrasonographic methods have been developed to quantify arterial wall thickness, however arterial compressibility has not been quantified. This study presents a possible solution for quantifying compressibility to assist in diagnosing GCA.

The Role of Soft Skills in Dental Education: Challenges and Importance.

Soft skills encompass interpersonal abilities and values that enable individuals to adapt to diverse circumstances. In dentistry, a combination of soft and hard skills is crucial for successful practice and for achieving health care organization goals. However, dental schools face significant challenges in teaching and evaluating soft skills, including the subjective nature of assessment, variability in student engagement, and the lack of standardized curricula.

LocustLens: leveraging environmental data fusion and machine learning for desert locust swarm prediction.

The desert locust is one of the most destructive locusts recorded in human history, and it has caused significant food shortages, monetary losses, and environmental calamities. Prediction of locust attacks is complicated as it depends on various environmental and geographical factors. This research aims to develop a machine-learning model for predicting desert locust attacks in 42 countries that considers three predictors: soil moisture, maximum temperature, and precipitation.

Comparative analysis of deep learning algorithms for dental caries detection and prediction from radiographic images: a comprehensive umbrella review.

Background: In recent years, artificial intelligence (AI) and deep learning (DL) have made a considerable impact in dentistry, specifically in advancing image processing algorithms for detecting caries from radiographical images. Despite this progress, there is still a lack of data on the effectiveness of these algorithms in accurately identifying caries. This study provides an overview aimed at evaluating and comparing reviews that focus on the detection of using DL algorithms from 2D radiographs.

Deep Learning Architecture to Infer Kennedy Classification of Partially Edentulous Arches Using Object Detection Techniques and Piecewise Annotations.

Objectives: Dental health is integral to overall well-being, with early detection of issues critical for prevention. This research work focuses on utilizing artificial intelligence and deep learning-based object detection techniques for automated detection of common dental issues in orthopantomography x-ray images, including broken roots, periodontally compromised teeth, and the Kennedy classification of partially edentulous arches.

Methods: An orthopantomography dataset has been used to train several models employing various object detection architectures, hyperparameters, and training techniques.

The Importance of Catalytic Effects in Hot-Electron-Driven Chemical Reactions.

Hot electrons (HEs) represent out-of-equilibrium carriers that are capable of facilitating reactions which are inaccessible under conventional conditions. Despite the similarity of the HE process to catalysis, optimization strategies such as orbital alignment and adsorption kinetics have not received significant attention in enhancing the HE-driven reaction yield. Here, we investigate catalytic effects in HE-driven reactions using a compositional catalyst modification (CCM) approach.

A little goes a long way: A comparison of enterolithotomy versus single-stage cholecystectomy in the management of gallstone ileus.

Introduction: Gallstone ileus is an infrequent complication of cholelithiasis with no specific guidelines for its management. This study aims to compare the outcomes of patients with gallstone ileus managed with both enterolithotomy with cholecystectomy (EL-CCY) versus those managed with enterolithotomy (EL) only.

Methods: In this retrospective analysis of 2011-2017 Nationwide Readmissions Database, all patients with an index admission diagnosis of gallstone ileus were included.

Lumpy Skin Disease: Insights into Molecular Pathogenesis and Control Strategies.

Lumpy skin disease (LSD) is a viral infection that affects buffaloes and cattle across various regions, including both tropical and temperate climates. Intriguingly, the virus-carrying skin sores remain the primary source of infection for extended periods, exacerbated by the abundance of vectors in disease-endemic countries. Recent scientific advances have revealed the molecular aspects of LSD and offered improved vaccines and valuable antiviral targets.

Sternal Wound Reconstruction Following Deep Sternal Wound Infection: Past, Present and Future: A Literature Review.

This literature review critically examines the historical, current, and prospective dimensions of sternal wound reconstruction in the specific context of deep sternal wound infection (DSWI), aiming to enhance patient outcomes and optimise surgical techniques. Preventive measures, including prophylactic antibiotic administration and surgical site preparation, are crucial in reducing the incidence of DSWI. Effective management necessitates a multidisciplinary approach encompassing surgical debridement, drainage, and sternum repair utilising diverse procedures in conjunction with antibiotic therapy.

SCLEREDEMA DIABETICORUM; A RARE DISEASE.

Scleredema Diabeticorum (SD) is a rare condition characterized by diffuse, symmetrical induration along with non-pitted swelling mostly on the upper back as a result of mucin being deposited in the dermis. It can also involve posterior neck, shoulders, and scalp. We report a case of 48 years old female patient from Pakistan, with uncontrolled diabetes mellites type 2 for the last 15 years, presenting with thickened skin at the back of the neck resulting in difficulty in neck and shoulder movements.

Systemic Therapy for Small Cell Lung Cancer: ASCO Guideline Rapid Recommendation Update.

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