Technological innovation and revolution with single-use digital flexible ureteroscopes: a review from section of EAU Endourology.

Purpose Of Review: Numerous scope-related innovations have taken place in the field of endourology. The presented analytical review is aimed at studying the technical innovations of the single-use digital flexible ureteroscopes. In November 2024, a comprehensive search was done for information on latest disposable flexible digital ureteroscopes, as well as their various unique characteristics.

Development, Pre-Clinical Safety, and Immune Profile of RENOVAC-A Dimer RBD-Based Anti-Coronavirus Subunit Vaccine.

The development of effective and safe vaccines and their timely delivery to the public play a crucial role in preventing and managing infectious diseases. Many vaccines have been produced and distributed globally to prevent COVID-19 infection. However, establishing effective vaccine development platforms and evaluating their safety and immunogenicity remains critical to increasing health security, especially in developing countries.

MIRA-CAP: Memory-Integrated Retrieval-Augmented Captioning for State-of-the-Art Image and Video Captioning.

Generating accurate and contextually rich captions for images and videos is essential for various applications, from assistive technology to content recommendation. However, challenges such as maintaining temporal coherence in videos, reducing noise in large-scale datasets, and enabling real-time captioning remain significant. We introduce MIRA-CAP (Memory-Integrated Retrieval-Augmented Captioning), a novel framework designed to address these issues through three core innovations: a cross-modal memory bank, adaptive dataset pruning, and a streaming decoder.

Genetic Diversity and Differentiation of Silkworm () Local Germplasm Resources in China and Uzbekistan.

Silkworm () is an economically significant insect that produces silk and makes important contributions to the development of silk-producing countries. The genetic diversity and unique adaptive traits of silkworm germplasm resources form the foundation for breeding efforts. In various geographical regions, silkworm have developed distinct traits through long-term adaptive selection.

The Role of Gene in Bud Dormancy and Cold Resistance in Mulberry Trees ( L.).

Bud dormancy is a critical adaptive trait in woody plants, essential for enduring harsh winter conditions. The relationship between bud break timing and cold resistance is complex and has been a subject of debate. This study utilizes a Genome-Wide Association Study (GWAS) on 201 natural mulberry populations to identify the gene, which shows the strongest association with bud break timing.

Diagnostic Accuracy of MRI for Orbital and Intracranial Invasion of Sinonasal Malignancies: A Systematic Review and Meta-Analysis.

: In this study, we review the diagnostic accuracy of magnetic resonance imaging (MRI) in detecting orbital and intracranial invasion of sinonasal malignancies (SNMs) using histopathological and surgical evidence as the reference standard. : A systematic search of studies in English was conducted in MEDLINE and Embase, limited to articles published since 1990. We included studies using preoperative MRI to detect the intracranial and orbital invasion of SNMs, with histological or surgical confirmation as the reference standard, and reported patient numbers in each class as required to assess diagnostic accuracy.

Dynamic Focus on Tumor Boundaries: A Lightweight U-Net for MRI Brain Tumor Segmentation.

Accurate segmentation of brain tumors in MRI scans is critical for diagnosis and treatment planning. Traditional segmentation models, such as U-Net, excel in capturing spatial information but often struggle with complex tumor boundaries and subtle variations in image contrast. These limitations can lead to inconsistencies in identifying critical regions, impacting the accuracy of clinical outcomes.

GAN-Based Novel Approach for Generating Synthetic Medical Tabular Data.

The generation of synthetic medical data has become a focal point for researchers, driven by the increasing demand for privacy-preserving solutions. While existing generative methods heavily rely on real datasets for training, access to such data is often restricted. In contrast, statistical information about these datasets is more readily available, yet current methods struggle to generate tabular data solely from statistical inputs.

Lightweight Super-Resolution Techniques in Medical Imaging: Bridging Quality and Computational Efficiency.

Medical imaging plays an essential role in modern healthcare, providing non-invasive tools for diagnosing and monitoring various medical conditions. However, the resolution limitations of imaging hardware often result in suboptimal images, which can hinder the precision of clinical decision-making. Single image super-resolution (SISR) techniques offer a solution by reconstructing high-resolution (HR) images from low-resolution (LR) counterparts, enhancing the visual quality of medical images.

Genetic Diversity and Subspecific Races of Upland Cotton ( L.).

: The classification and phylogenetic relationships of L. landraces, despite their proximity to southern Mexico, remain unresolved. This study aimed to clarify these relationships using SSR markers and hybridization methods, focusing on subspecies and race differentiation within L.

Genetic Polymorphism of Y-Chromosome in Turkmen Population from Turkmenistan.

This study investigates the Y-chromosome genetic diversity of the Turkmen population in Turkmenistan, analyzing 23 Y-STR loci for the first time in a sample of 100 individuals. Combined with comparative data from Turkmen populations in Afghanistan, Iran, Iraq, Russia, and Uzbekistan, this analysis offers insights into the genetic structure and relationships among Turkmen populations across regions across Central Asia and the Near East. High haplotype diversity in the Turkmen of Turkmenistan is shaped by founder effects (lineage expansions) from distinct haplogroups, with haplogroups Q and R1a predominating.

The Thermodynamics of the Van Der Waals Black Hole Within Kaniadakis Entropy.

In this work, we have studied the thermodynamic properties of the Van der Waals black hole in the framework of the relativistic Kaniadakis entropy. We have shown that the black hole properties, such as the mass and temperature, differ from those obtained by using the the Boltzmann-Gibbs approach. Moreover, the deformation κ-parameter changes the behavior of the Gibbs free energy via introduced thermodynamic instabilities, whereas the emission rate is influenced by κ only at low frequencies.

Achievements, priorities and strategies in pediatric nephrology in Europe: need for unifying approaches or acceptance of differences?

Background: There is a lack of information on the current healthcare systems for children with kidney diseases across Europe. The aim of this study was to explore the different national approaches to the organization and delivery of pediatric nephrology services within Europe.

Methods: In 2020, the European society for Paediatric Nephrology (ESPN) conducted a cross-sectional survey to identify the existing pediatric nephrology healthcare systems in 48 European countries covering a population of more than 200 million children.

Modeling saturation exponent of underground hydrocarbon reservoirs using robust machine learning methods.

Precise estimation of rock petrophysical parameters are seriously important for the reliable computation of hydrocarbon in place in the underground formations. Therefore, accurately estimation rock saturation exponent is necessary in this regard. In this communication, we aim to develop intelligent data-driven models of decision tree, random forest, ensemble learning, adaptive boosting, support vector machine and multilayer perceptron artificial neural network to predict rock saturation exponent parameter in terms of rock absolute permeability, porosity, resistivity index, true resistivity, and water saturation based on acquired 1041 field data.

A comprehensive analysis of advanced solar panel productivity and efficiency through numerical models and emotional neural networks.

This study presents an in-depth analysis and evaluation of the performance of a standard 200 W solar cell, focusing on the energy and exergy aspects. A significant research gap exists in the comprehensive integration of numerical models with advanced machine-learning approaches, specifically emotional artificial neural networks (EANN), to simulate and optimize the electrical characteristics and efficiency of solar panels. To address this gap, a numerical model alongside a novel EANN was employed to simulate the system's electrical characteristics, including open-circuit voltage, short-circuit current, system resistances, maximum power point characteristics, and characteristic curves.

Revisiting the genus (Liliaceae) in Kazakhstan, the country with the richest tulip diversity worldwide.

The genus L., belonging to the Liliaceae family, has significant economic, horticultural, and ecological importance and is culturally revered in various regions worldwide. The total number of species, including 90-120 taxa, varies based on different sources.

Integrative review of , and (Lepidoptera, Noctuidae, Xyleninae, Apameini).

The relationship of Mikkola, 1980; Mikkola, 1998; and Mikkola, 1998 is reconsidered based on 59 genitalia slides (37 males and 22 females) and 40 barcodes of adults collected from the type localities and areas in-between. Due to lack of stable morphologic differences, apart from the wing coloration of , and low genetic distance between the three, they are considered as three subspecies of : the nominotypical one and Included are photographs of all specimens covering 37 adults, and 28 male and 18 female genitalia, as well as a phylogenetic tree and a map showing collecting localities.

The Rey Auditory Verbal Learning Test: adaptation into Russian and a new digital "RAVLT World".

The Rey Auditory Verbal Learning Test (RAVLT) is a classic test used to assess episodic verbal memory in research and clinical practice. We aimed to adapt the RAVLT materials into Russian, provide performance norms across the adult lifespan for the Russian adaptation, and develop a mobile application for automated RAVLT administration across languages. We created three psycholinguistically matched alternative versions of the RAVLT materials in Russian and incorporated them into a new tablet application.

MSA clustering enhances AF-Multimer's ability to predict conformational landscapes of protein-protein interactions.

Motivation: Understanding the conformational landscape of protein-ligand interactions is critical for elucidating the binding mechanisms that govern these interactions. Traditional methods like molecular dynamics (MD) simulations are computationally intensive, leading to a demand for more efficient approaches. This study explores how multiple sequence alignment (MSA) clustering enhance AF-Multimer's ability to predict conformational landscapes, particularly for proteins with multiple conformational states.

COVID-19 is a trigger of autoimmune rheumatic diseases: a hypothesis tested over time.

We discuss the paper recently published in Rheumatology Internationa. This article reflects on the prevalence of autoimmune rheumatic diseases (ARD) during the COVID-19 pandemic (2020-2023) and compares the same with the pre-pandemic period (2016-2019). We assume that SARS-CoV-2 triggers ARD.

Global burden of cardiovascular disease mortality attributable to secondhand smoke, 1990-2019: Systematic analysis of the Global Burden of Disease Study 2019.

Background: Few studies have globally assessed the cardiovascular disease (CVD) mortality burden attributable to secondhand smoke. We aimed to address this research gap.

Methods: We used a systematic analysis design using data from the Global Burden of Disease Study 2019.

Diurnal Variations in Upper and Lower Body Power in Adolescent Volleyball Players: Exploring Time-of-Day Effects on Performance.

Background/objectives: This study aims to investigate the daily variations in upper and lower body power performance in adolescent volleyball players.

Methods: The sample consisted of 50 young male volleyball players (14.12 ± 0.