Cold versus hot snare endoscopic mucosal resection of colorectal polyps: meta-analysis of randomized controlled trials.

Background And Aims: Interest in cold endoscopic mucosal resection (EMR) for colorectal polyps has been growing lately. We conducted a meta-analysis of RCTs to compare cold and hot EMR for colorectal polyps.

Methods: We reviewed several databases from inception to October 06, 2024.

Predictors of Post-ERCP Pancreatitis: A Comprehensive Systematic Review and Meta-Analysis.

Background And Aims: Pancreatitis is the most common serious adverse event associated with endoscopic retrograde cholangiopancreatography (ERCP). This meta-analysis aimed to precisely assess the risk factors for post-ERCP pancreatitis (PEP).

Methods: We searched electronic databases for studies that assessed risk factors for PEP after adjusting for ≥3 risk factors, including at least one pre-specified patient-related and one procedure-related risk factor, and reported the data as adjusted odds ratios (OR) with 95% confidence intervals.

Exploring nanoparticle dynamics in binary chemical reactions within magnetized porous media: a computational analysis.

Artificial Neural Networks are incredibly efficient at handling complicated and nonlinear mathematical problems, making them very useful for tackling these challenges. Artificial neural networks offer a special computational architecture that is extremely valuable in disciplines like biotechnology, biological computing, and computational fluid dynamics. The present work investigates the applicability of back-propagation artificial neural networks in conjunction with the Levenberg-Marquardt algorithm for evaluating heat transmission in hybrid nanofluids.

EUS-guided Drainage of Pancreatic Fluid Collections Using Lumen Apposing Metal Stents With or Without Coaxial Plastic Stents: A Systematic Review and Meta-analysis.

Background And Aims: Co-axial plastic double pigtail stents (DPSs) are commonly placed through lumen apposing metal stents (LAMS) in patients with pancreatic fluid collections (PFCs) to decrease the risk of adverse events. In this meta-analysis, we have compared the outcomes of LAMS plus co-axial DPS versus LAMS alone in patients with PFCs.

Methods: We reviewed several databases to identify the studies that compared outcomes of LAMS with DPS to LAMS without DPS in the treatment of PFCs.

DeepCGAN: early Alzheimer's detection with deep convolutional generative adversarial networks.

Introduction: Alzheimer's disease (AD) is a neurodegenerative disorder and the most prevailing cause of dementia. AD critically disturbs the daily routine, which usually needs to be detected at its early stage. Unfortunately, AD detection using magnetic resonance imaging is challenging because of the subtle physiological variations between normal and AD patients visible on magnetic resonance imaging.

Assessment of the Learning Curve for a Single-Use Disposable Duodenoscope.

Background And Aims: In response to documented duodenoscope-related infectious outbreaks of multidrug-resistant organisms, the Food and Drug Administration has recommended a transition to duodenoscopes with innovative designs, including duodenoscopes with disposable components or fully disposable duodenoscopes. We aim to characterize the learning curve (LC) for a single-use disposable duodenoscope.

Methods: We performed a retrospective analysis of a prospectively collected database from 31 patients who underwent ERCP by a single, experienced operator using the EXALT Model D® (Boston Scientific, Marlborough) disposable duodenoscope at a single tertiary referral center.

Develop the artificial neural network approach to predict thermal transport analysis of nanofluid inside a porous enclosure.

This study explores the impacts of heat transportation on hybrid (Ag + MgO) nanofluid flow in a porous cavity using artificial neural networks (Bayesian regularization approach (BRT-ANN) neural networks technique). The cavity considered in this analysis is a semicircular shape with a heated and a cooled wall. The dynamics of flow and energy transmission in the cavity are influenced by various features such as the effect of magnetize field, porosity and volume fraction of nanoparticles.

Factors predictive of hospital length of stay in patients with an index episode of acute necrotizing pancreatitis.

Introduction: Acute necrotizing pancreatitis (ANP) complicates 15 % of acute pancreatitis cases and is associated with prolonged length of stay (LOS). There are limited studies exploring potential predictors.

Methods: We carried out a retrospective study of all consecutive patients presenting to a large referral healthcare system with ANP.

Timing of ERCP after extracorporeal shock wave lithotripsy for large main pancreatic duct stones.

Background And Aims: Extracorporeal shock wave lithotripsy (ESWL) is performed to fragment large main pancreatic duct (MPD) stones in symptomatic patients. Subsequent endoscopic retrograde cholangiopancreatography (ERCP) is often performed to clear the stone fragments. Edema of surrounding tissue after ESWL theoretically affects the ability to perform ERCP.

Unsteady mix convectional stagnation point flow of nanofluid over a movable electro-magnetohydrodynamics Riga plate numerical approach.

The flow at a time-independent separable stagnation point on a Riga plate under thermal radiation and electro-magnetohydrodynamic settings is examined in this research. Two distinct base fluids-HO and CHO and TiO nanostructures develop the nanocomposites. The flow problem incorporates the equations of motion and energy along with a unique model for viscosity and thermal conductivity.

Causal speech enhancement using dynamical-weighted loss and attention encoder-decoder recurrent neural network.

Speech enhancement (SE) reduces background noise signals in target speech and is applied at the front end in various real-world applications, including robust ASRs and real-time processing in mobile phone communications. SE systems are commonly integrated into mobile phones to increase quality and intelligibility. As a result, a low-latency system is required to operate in real-world applications.

Simulation of the water-based hybrid nanofluids flow through a porous cavity for the applications of the heat transfer.

This study looks at the natural convections of Cu + AlO/HO nanofluid into a permeable chamber. The magnetic field is also executed on the flow field and the analysis has been approached numerically by the control volume method. The study of hybrid nanofluid heat in terms of the transfer flux was supplemented with a wide range of parameters of hybrid nanofluid fractions, Rayleigh numbers Hartmann numbers and porosity factor.

Features of flow and heat transport of MoS+GO hybrid nanofluid with nonlinear chemical reaction, radiation and energy source around a whirling sphere.

The current investigation employs a numerical simulation to demonstrate the impact of hall current on unsteady free convective flow caused by hybrid-nanofluid over a revolving sphere approaching the stagnation point. The prominent characteristics of Lorentz force as a result of magnetic field coupling with hybrid nanofluid is also explored. The process of energy and mass transmission is inspected with nonlinear thermal radiations, non-uniform energy supply, dissipation and nonlinear chemical reaction.

COVID-Associated Cast-Forming Cholangiopathy: A Commentary on Disease Mechanism, Treatment, and Prognosis.

The complete impact of COVID-19 infection continues to develop since the onset of the COVID-19 pandemic. COVID-19 cholangiopathy has been recently described in a subset of patients who recovered from severe COVID-19 infection. The most common phenotype of patients suffering from COVID-19 cholangiopathy had severe infection requiring a stay in the intensive care unit, mechanical ventilation and vasopressor medications.

Entropy optimization and heat flux analysis of Maxwell nanofluid configurated by an exponentially stretching surface with velocity slip.

Hybrid nanofluids are extremely important in field of engineering and technology due to their higher heat transportation performance resulting in increased heat transfer rates. In the presence of thermal heat flux, the effect of a slanted MHD with velocity slip condition on a CNTs hybrid nanocomposite across a gradually extending surface is investigated. In present analysis, Maxwell nanofluid is embedded with SWCNT and MWCNT (single and multiple wall carbon nanotubes) nanoparticles.

Developing growth reference charts for the head circumference of Pakistani children aged 6 to 18 years.

Background: Head circumference (HC) measurement is a significant measure of brain volume. It is also considered a powerful predictor in the evaluation of developmental and neurological disorders in children. This study aims to develop smoothed reference curves for HC of the Pakistani children of age 6 to 18 years.

Non-linear convective flow of the thin film nanofluid over an inclined stretching surface.

To enhance the surface properties of solids the mechanism of thin films is frequently used. Penetration, degradation, stiffness, illumination, diffusion, absorption, and electric performance are all characteristics of a bulk substance medium that a thin film can improve. In nanotechnology, thin film processing can be extremely useful.

Efficacy of empiric esophageal dilation in patients with non-obstructive dysphagia: systematic review and meta-analysis.

Background And Aims: Empiric esophageal dilation is frequently performed for non-obstructive dysphagia. Studies evaluating its efficacy have reported conflicting results. In this meta-analysis, we have evaluated the efficacy of esophageal dilation in the management of non-obstructive dysphagia.