Association of Diabetes Mellitus with Carotid Artery Stenosis Undergoing Coronary Artery Bypass Graft in Bangladesh: A Prospective Cross-Sectional Study.

Background: Atherosclerosis is a systemic vascular disease commonly affecting coronary and carotid arteries, particularly in diabetes mellitus (DM). This study assessed the association of DM with significant carotid artery stenosis (CAS) among the coronary artery disease (CAD) population undergoing isolated elective coronary artery bypass graft (CABG) surgery.

Methods: A prospective cross-sectional study evaluated 100 Bangladeshi CAD patients who underwent isolated elective CABG from January 2017 to September 2019.

Advances of Hydroxyapatite Nanoparticles in Dental Implant Applications.

Hydroxyapatite nanoparticles (HANPs) are becoming increasingly crucial in dental implant applications as they are highly compatible with biological systems, actively support biological processes, and closely resemble bone minerals. This review covers the latest progress in how HANPs are made, studied, and used in dentistry. It looks at critical methods for creating HANPs, such as sol-gel, microwave hydrothermal synthesis, and biomimetic approaches, and how they affect the particles' size, structure, and activity.

Wernicke's encephalopathy, Central Pontine Myelinolysis and Supraventricular Tachycardia in a Case of Hyperemesis Gravidarum.

Wernicke's encephalopathy is a potentially lethal complication of thiamine deficiency which mainly occurs in chronic alcoholic patients. It may occur in other conditions like hyperemesis gravidarum too. Pregnancy may also be complicated with other neurological and cardiac complications.

Venom-spit ophthalmia: A novel envenomation of Monocled Cobra (Naja kaouthia).

Handling venomous snakes poses a significant risk of envenomation. In the case of spitting cobras, additional precautions, like wearing face shields, are necessary to prevent ophthalmic envenomation. Although, the Monocled Cobra (Naja kaouthia) is not a true spitting cobra, however some spitting events has been reported from Northeastern India and Nepal but ocular envenomation is scarce.

How does digital leadership boost competitive performance? The role of digital culture, affective commitment, and strategic agility.

In the age of the digital revolution, businesses are working to become more sustainable. Specifically, when management settings change-which is closely tied to competitive performance-leadership is evolving into digital leadership. Drawing on the resource-based view (RBV) theory, this study focused on finding the interconnection between digital leadership (DL) and competitive performance (CP), as well as the mediating roles of affective commitment (AC) and digital culture (DC), including the moderating effects of strategic agility (SA).

ECCDN-Net: A deep learning-based technique for efficient organic and recyclable waste classification.

Efficient waste management is essential to minimizing environmental harm as well as encouraging sustainable progress. The escalating volume and sophistication of waste present significant challenges, prompting innovative methods for effective waste categorization and management. Deep learning models have become highly intriguing tools for automating trash categorization activities, providing effective ways to optimize processes for handling waste.

Automated detection of posterior urethral valves in voiding cystourethrography images: A novel AI-Based pipeline for enhanced diagnosis and classification.

Introduction: Posterior Urethral Valves (PUV) are rare congenital anomalies of the male urinary tract that can lead to urethral obstruction and increased risk of kidney disease. Traditional diagnosis relies on subjective interpretation of imaging techniques. This study aimed to automate and increase accuracy of PUV detection in voiding cystourethrography (VCUG) images using an AI-based pipeline.

Optimizing coastal groundwater quality predictions: A novel data mining framework with cross-validation, bootstrapping, and entropy analysis.

Investigating the potential of novel data mining algorithms (DMAs) for modeling groundwater quality in coastal areas is an important requirement for groundwater resource management, especially in the coastal region of Bangladesh where groundwater is highly contaminated. In this work, the applicability of DMA, including Gaussian Process Regression (GPR), Bayesian Ridge Regression (BRR) and Artificial Neural Network (ANN), for predicting groundwater quality in coastal areas was investigated. The optuna-based optimized hyperparameter is proposed to improve the accuracy of the models, including optuna-GPR and optuna-BRR as benchmark models.

Novel endpoints based on tumor size ratio to support early clinical decision-making in oncology drug-development.

In oncology drug development, overall response rate (ORR) is commonly used as an early endpoint to assess the clinical benefits of new interventions; however, ORR benefit may not always translate into a long-term clinical benefit such as overall survival (OS). Most of the work on developing endpoints based on tumor growth dynamics relies on empirical validation, leading to a lack of generalizability of the endpoints across indications and therapeutic modalities. Additionally, many of these metrics are model-based and do not use data from all the patients.

Variations in Furin SNPs, a Major Concern of SARS-CoV-2 Susceptibility Among Different Populations: An - Approach.

COVID-19 caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) had an adverse effect globally because it caused a global pandemic with several million deaths. This virus possesses spike protein that is cleaved or activated by Furin-like protease enzymes occurring by mammalian lung or respiratory cells to enter the mammalian body. The addition of the Furin cleavage site in SARS-CoV-2 makes it a more infectious and emerging virus than its ancestor's viruses.

Association of and Genetic Variants With Schizophrenia in the Bangladeshi Population: A Case-Control Study.

Background And Aims: Schizophrenia (SCZ) is among the most persistent and devastating psychological problems. Different genetic polymorphisms are responsible for the predisposition of SCZ, and we screened (rs2071287, rs204993) and (rs2070673) polymorphisms in this study to find the connection with SCZ development.

Methods: We investigated a total of 420 samples (210 patients and 210 controls) and used the PCR-RFLP technique to genotype all SNPs.

Development of novel tetrazole-based pyruvate kinase M2 inhibitors targeting U87MG glioblastoma cells.

Glioblastoma (GB), the most aggressive and life-threatening primary brain tumor in adults, poses significant therapeutic challenges. Tumor pyruvate kinase M2 (PKM2) has been implicated in the proliferation and survival of glioma cells. In this study, we designed and synthesized a series of 23 novel tetrazole-based derivatives.

A Comparative Study of Decoders for Liver and Tumor Segmentation Using a Self-ONN-Based Cascaded Framework.

Accurate liver and tumor detection and segmentation are crucial in diagnosis of early-stage liver malignancies. As opposed to manual interpretation, which is a difficult and time-consuming process, accurate tumor detection using a computer-aided diagnosis system can save both time and human efforts. We propose a cascaded encoder-decoder technique based on self-organized neural networks, which is a recent variant of operational neural networks (ONNs), for accurate segmentation and identification of liver tumors.

Stingray Injury Complicated by Vibrio alginolyticus Wound Infection and Posterior Tibial Artery Pseudoaneurysm in a Returning Traveler.

Stingray injury is common in temperate and tropical waters worldwide. The majority of injuries are minor and can be managed with simple first aid at the shoreline; however, serious complications can occur. We report a case of Vibrio alginolyticus wound infection, retained foreign body, and posterior tibial artery pseudoaneurysm after stingray envenomation in a returning traveler.

Tracking head movement inside an MR scanner using electromagnetic coils.

Prospective motion corrections in brain imaging for MRI are fairly challenging. Monitoring involuntary head movement inside MR scanner is crucial for prospective motion correction. This initial study delves into utilizing simulations to track the head's movements within an MRI scanner, achieved by measuring induced voltage changes from time-varying magnetic field gradients in head-mounted coils.

Treatment Outcomes of Hypercalcemia of Malignancy Among Advanced Cancer Patients Attending Palliative Care Unit of a Tertiary Care Hospital in Bangladesh: An Observational Study.

Background And Aim: Hypercalcemia is one of the most common complications of advanced malignancy. Treatment of hypercalcemia among advanced cancer patients often gives rise to complex ethical issues. This study aims to explore treatment outcomes of hypercalcemia among advanced cancer patients so that palliative care physicians can design cost-effective and efficient approaches to diagnosis and treatment for these patients.

An extensive photographic dataset to classify laptop components for automating e-waste management by recycling old laptops.

Automatic electronic waste management needs to classify components specifically from laptops of different models and brands so that parts can be recycled efficiently using AI-enabled robots. To achieve this goal, a good dataset plays a significant role as the systems that operate e waste management machines will learn from this dataset and act accordingly. The lack of proper datasets that are available publicly related to components of any type of device can be a barrier to the work process.

Predicting 30-Day Outcomes in Primary Intracerebral Hemorrhage Using the Intracerebral Hemorrhage Score: A Study in Bangladesh.

Introduction Intracerebral hemorrhage (ICH) is a severe subtype of stroke associated with high rates of mortality and morbidity. Accurate early prognostication is essential for optimizing treatment strategies and improving patient outcomes. The ICH score, which includes clinical and imaging variables, is widely used to predict mortality and functional outcomes in ICH patients.

Effects of competition and ownership on the simultaneous relationship between bank risk and capital: Evidence from an emerging economy of Bangladesh.

This study aims to investigate the simultaneous relationship between bank risk and capital, specifically examining how competition and ownership jointly influence this relationship. We employed the two-step system generalized method of moments to address concerns regarding endogeneity and unobserved heteroscedasticity. Based on data from 44 commercial banks in Bangladesh from 2010 to 2021, our findings reveal several key insights: (I) There is a significant non-linear bidirectional relationship between bank risk and capital: capital exhibits a U-shaped effect on risk, while risk has a non-linear negative impact on capital; (II) in highly contested markets, banks hold higher levels of capital, and heightened competition reduces the risk appetite of commercial banks; while less competition has the opposite effect; (III) private and Islamic commercial banks are more risk-averse than state-owned and conventional ones, and (IV) Private and Islamic banks with strong capital positions in a competitive market can better manage risks than state-owned and conventional banks.

Pax proteins mediate segment-specific functions in proximal tubule survival and response to ischemic injury.

Acute kidney injury (AKI) is a common clinical syndrome with few effective treatments. Though the kidney can regenerate after injury, the molecular mechanisms regulating this process remain poorly understood. Pax2 and Pax8 are DNA-binding transcription factors that are upregulated after kidney injury.