Modeling the supply chain sustainability imperatives in the fashion retail industry: Implications for sustainable development.

The resilience of established business strategies has been tested in the wake of recent global supply chain upheavals triggered by events like the COVID-19 pandemic, Russia-Ukraine combat, Hamas-Israel war, and other geopolitical conflicts. Organizations are compelled to integrate sustainable practices into their supply chains to navigate the complexities of the post-COVID-19 era and mitigate the far-reaching consequences of such disruptions. However, exploring supply chain imperatives from sustainability dimensions still remains underexplored, presenting a significant research gap, particularly in the fashion retail sector.

Use of platelet-rich plasma in rheumatic diseases.

Platelet-rich plasma (PRP) has gained increasing recognition as a promising therapeutic agent in managing rheumatic diseases. Conventional treatments, including nonsteroidal anti-inflammatory drugs (NSAIDs), corticosteroids, and disease-modifying antirheumatic drugs (DMARDs), primarily act on reducing inflammation but fail to address the underlying mechanisms of connective tissue degradation. PRP, an autologous preparation enriched with growth factors and bioactive molecules, is pivotal in modulating inflammation and fostering tissue regeneration.

War Anxiety: A Review.

Purpose Of Review: This review critically evaluates literature on war-induced anxiety, highlighting findings from 2021 to 2024, especially during the Russia-Ukraine war.

Recent Findings: Measures and prevalence estimates of anxiety and fear are updated. Populations affected by armed conflicts include residents of conflict zones and neighboring countries, internally displaced persons, refugees, combatants, and healthcare and humanitarian aid workers.

Coordinated charging of EV fleets in community parking lots to maximize benefits using a three-stage energy management system.

The rapid global adoption of electric vehicles (EVs) necessitates the development of advanced EV charging infrastructure to meet rising energy demands. In particular, community parking lots (CPLs) offer significant opportunities for coordinating EVs' charging. By integrating energy storage systems (ESSs), renewable energy sources (RESs), and building prosumers, substantial reductions in peak load and electricity costs can be achieved, while simultaneously promoting environmental sustainability.

Development of a high-performance pseudocapacitive composite via electroless deposition of silver nanoparticles on micro-sized silicon.

An energy material has been developed using a one-step chemical reduction method, incorporating silver nanoparticles (AgNPs) that encapsulate micro-sized silicon (mSi) flakes. SEM investigation revealed complete encapsulation of silicon flakes by AgNP's dendritic structure, EDX confirmed the deposition of Ag on Si flakes. Raman spectroscopy confirmed the formation of silver and silicon oxides.

Optimizing demand response and load balancing in smart EV charging networks using AI integrated blockchain framework.

The integration of Electric Vehicles (EVs) into power grids introduces several critical challenges, such as limited scalability, inefficiencies in real-time demand management, and significant data privacy and security vulnerabilities within centralized architectures. Furthermore, the increasing demand for decentralized systems necessitates robust solutions to handle the growing volume of EVs while ensuring grid stability and optimizing energy utilization. To address these challenges, this paper presents the Demand Response and Load Balancing using Artificial intelligence (DR-LB-AI) framework.

Estimation of internal displacement in Ukraine from satellite-based car detections.

Estimating the numbers and whereabouts of internally displaced people (IDP) is paramount to providing targeted humanitarian assistance. In conflict settings like the ongoing Russia-Ukraine war, on-the-ground data collection is nevertheless often inadequate to provide accurate and timely information. Satellite imagery may sidestep some of these challenges and enhance our understanding of the IDP dynamics.

Accurate calculation of the content volume, density and original weight of museum curated eggs.

Worldwide museums hold collections of eggshells representing material for descriptive studies. However, an obstacle to this is the lack of information about the original contents and weight of the entire egg (W). This study aimed to fill this gap though development of a methodological mechanism for calculating the volume of the egg interior (V), its density (D) and W.

Innervation of the female internal genital organs in 12-week-old porcine foetuses.

This is the first study aimed to investigate the innervation of the internal genital organs in 12-week-old female pig foetuses using single and double-labelling immunofluorescence methods. Immunostaining for protein gene product 9.5 (PGP, general neural marker) revealed that the most numerous PGP-positive nerve fibres were found in the mesenchyme of the uterovaginal canal height.

Analyzing the regulatory framework gaps for gas distribution networks with decreasing natural gas demand in Germany.

German energy system studies, investigating the energy transition pathways to the set climate targets, depict a significant decrease in gas demand. This leads to a discussion about the long-term need of gas distribution networks. The discussion intensified with the war in Ukraine and the subsequent energy price crisis.

Two decades of research on sensu lato in questing ticks in Slovakia.

Introduction: In Europe sensu lato (s.l.), the causative agent of Lyme borreliosis is transmitted by the castor bean tick, .

Predicting Mutations in Cutaneous Melanoma Patients Using Neural Network Analysis.

Point mutations at codon 600 of the BRAF oncogene are the most common alterations in cutaneous melanoma (CM). Assessment of BRAF status allows to personalize patient management, though the affordability of molecular testing is limited in some countries. This study aimed to develop a model for predicting alteration in BRAF based on routinely available clinical and histological data.

Pear-Shaped Eggs Evolved to Maximize the Surface Area-to-Volume Ratio, Increase Metabolism, and Shorten Incubation Time in Birds.

Bird eggs can be spherical, ellipsoid, ovoid, or pear-shaped (pyriform), the latter being the most complex. There is however no unambiguous evolutionary/adaptive explanation for this final, exotic shape. We hypothesized that pyriform eggs have a larger surface area-to-volume ratio (S/V) that may be a criterion for increased embryo metabolism.

A hybrid artificial neural network and multi-objective genetic algorithm approach to optimize extraction conditions of Mentha longifolia and biological activities.

In this work, artificial neural network coupled with multi-objective genetic algorithm (ANN-NSGA-II) has been used to develop a model and optimize the conditions for the extracting of the Mentha longifolia (L.) L. plant.

Size-Dependent Wetting Contact Angles at the Nanoscale Defined by Equimolar Surfaces and Surfaces of Tension.

The wetting characteristics of fluids play a crucial role in various fields of interface and surface science. Contact angle serves as a fundamental indicator of wetting behavior. However, accurate quantification of wetting phenomena even at the macroscale often poses challenges, particularly due to the hysteresis between receding and advancing contact angles.

Optimal power scheduling in real-time distribution systems using crow search algorithm for enhanced microgrid performance.

Microgrids (MGs) have gained significant attention over the past two decades due to their advantages in service reliability, easy integration of renewable energy sources, high efficiency, and enhanced power quality. In India, low-voltage side customers face significant challenges in terms of power supply continuity and voltage regulation. This paper presents a novel approach for optimal power scheduling in a microgrid, aiming to provide uninterrupted power supply with improved voltage regulation (VR).

Advanced control strategy for AC microgrids: a hybrid ANN-based adaptive PI controller with droop control and virtual impedance technique.

In this paper, an improved voltage control strategy for microgrids (MG) is proposed, using an artificial neural network (ANN)-based adaptive proportional-integral (PI) controller combined with droop control and virtual impedance techniques (VIT). The control strategy is developed to improve voltage control, power sharing and total harmonic distortion (THD) reduction in the MG systems with renewable and distributed generation (DG) sources. The VIT is used to decouple active and reactive power, reduce negative power interactions between DG's and improve the robustness of the system under varying load and generation conditions.

Numerical proceeding to calculate impurity states in 2D semiconductor heterostructures.

The article provides and discusses details of numerical proceeding for the expansion method to calculate energy positions and wave functions of the localized and resonant electronic states emerging in quantum well-type semiconductor nanostructures because of perturbation of confined states by the Coulomb potential of the hydrogenic impurity center. Effective mass approximation is used. Several excited both resonant and non-resonant states are calculated and classified for the case of a simple rectangular GaAs/AlGaAs quantum well.

The 1888 dissertation of a female medical student, Ueber Character-Veränderungen des Menschen in Folge von Laesionen des Stirnhirns (On character changes of man as a consequence of lesions of the frontal lobe).

A case of brain injury with a transient syndrome of mainly disinhibited behaviour (Franz Binz) was the subject of the 1888 medical dissertation of Leonore Welt (∗1859 Chernivtsi, Ukraine; †1944 Geneva, Switzerland) which came to be discussed quite controversially. Although Binz was never fully forgotten, the similar "American crow-bar case" (Phineas Gage) attracted more interest. Welt's study, in contrast, provides not only well-illustrated neuropathological findings but also more detailed clinical data.

Is increased mutation driving genetic diversity in dogs within the Chornobyl exclusion zone?

Environmental contamination can have lasting impacts on surrounding communities, though the long-term impacts can be difficult to ascertain. The disaster at the Chornobyl Nuclear Power Plant in 1986 and subsequent remediation efforts resulted in contamination of the local environment with radioactive material, heavy metals, and additional environmental toxicants. Many of these are mutagenic in nature, and the full effect of these exposures on local flora and fauna has yet to be understood.

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.

Tunable TiZrMoC Coatings: A Comprehensive Study of Microstructure, Mechanical Properties, and Wear Resistance.

TiZrMoC coatings were deposited on Si(100) substrates using a DC dual magnetron sputtering. The composition was controlled by adjusting the sputtering parameters of the TiZrMo and graphite targets. The influence of graphite target current on the resulting coating properties was explored.

Evaluation of Fifteen 5,6-Dihydrotetrazolo[1,5-]quinazolines Against : Integrating In Vitro Studies, Molecular Docking, QSAR, and In Silico Toxicity Assessments.

(), the second most prevalent Candida pathogen globally, has emerged as a major clinical threat due to its ability to develop high-level azole resistance. In this study, two new 5,6-dihydrotetrazolo[1,5-]quinazoline derivatives ( and ) were synthesized and characterized using IR, LC-MS, H, and C NMR spectra. Along with 13 previously reported analogues, these compounds underwent in vitro antifungal testing against clinical isolates using a serial dilution method (0.