Immunohistochemical analysis of 147 cases of low-grade endometrial stromal sarcoma: refining the immunohistochemical profile of LG-ESS on a large, molecularly confirmed series.

Low-grade endometrial stromal sarcoma (LG-ESS) can present diagnostic challenges, due to its overlapping morphological features with other uterine mesenchymal tumors. Misdiagnosis rates remain significant, and immunohistochemical data for LG-ESS are limited to small series and inconsistent antibody panels. This study aimed to refine the IHC profile of LG-ESS by analyzing a large, molecularly confirmed series of 147 cases using a panel of 24 antibodies, including newer markers like transgelin and smoothelin.

Photoelasticity of crystals with the scheelite structure: quantum mechanical calculations.

We report a complete set of elastic, piezooptic and photoelastic tensor constants of scheelite crystals CaMoO, BaMoO, BaWO and PbWO determined by density functional theory (DFT) calculations using the quantum chemical software package CRYSTAL17. The modulation parameter, i.e.

Psychological well-being and academic performance of Ukrainian medical students under the burden of war: a cross-sectional study.

Introduction: The mental health of medical students is a key factor for academic performance and the delivery of high-quality medical care in the future. Globally, medical students face numerous challenges that can affect their education. Living and studying facing the war has a crucial influence on medical students' education and daily life.

Evaluating the role of generative AI and color patterns in the dissemination of war imagery and disinformation on social media.

This study explores the evolving role of social media in the spread of misinformation during the Ukraine-Russia conflict, with a focus on how artificial intelligence (AI) contributes to the creation of deceptive war imagery. Specifically, the research examines the relationship between color patterns (LUTs) in war-related visuals and their perceived authenticity, highlighting the economic, political, and social ramifications of such manipulative practices. AI technologies have significantly advanced the production of highly convincing, yet artificial, war imagery, blurring the line between fact and fiction.

Improving diagnostics and surveillance of malaria among displaced people in Africa.

African communities that have been forced to leave their homes experience a considerably greater susceptibility to malaria as a result of densely populated living conditions, restricted availability of healthcare, and environmental influences. Internally displaced individuals frequently live in large settlements with restricted availability to drinking water, essential sanitation, and medical services, intensifying the spread of malaria. As a result, the occurrence of malaria is significantly more common among refugees and internally displaced individuals compared to those who are not displaced.

Trust in scientists and their role in society across 68 countries.

Science is crucial for evidence-based decision-making. Public trust in scientists can help decision makers act on the basis of the best available evidence, especially during crises. However, in recent years the epistemic authority of science has been challenged, causing concerns about low public trust in scientists.

Robust fault detection and classification in power transmission lines via ensemble machine learning models.

Transmission lines are vital for delivering electricity over long distances, yet they face reliability challenges due to faults that can disrupt power supply and pose safety risks. This research introduces a novel approach for fault detection and classification by analyzing voltage and current patterns across transmission line phases. Leveraging a comprehensive dataset of diverse fault scenarios, various machine learning algorithms-including Random Forest (RF), K-Nearest Neighbors (KNN), and Long Short-Term Memory (LSTM) networks-are evaluated.

Perceptions of science, science communication, and climate change attitudes in 68 countries - the TISP dataset.

Science is integral to society because it can inform individual, government, corporate, and civil society decision-making on issues such as public health, new technologies or climate change. Yet, public distrust and populist sentiment challenge the relationship between science and society. To help researchers analyse the science-society nexus across different geographical and cultural contexts, we undertook a cross-sectional population survey resulting in a dataset of 71,922 participants in 68 countries.

Fungal Planet description sheets: 1697-1780.

Novel species of fungi described in this study include those from various countries as follows: , from accumulated snow sediment sample. , on leaf spots of . , on submerged decaying wood in sea water, on , as endophyte from healthy leaves of .

Utilization of Staging Laparoscopy for Patients With Gastric Cancer in Ukraine.

Background: The use of advanced diagnostic methods, such as high-resolution CT or PET-CT scans, are limited in low and middle-income countries (LMICs). In gastric cancer, occult peritoneal disease may be present in up to 20% of cases, limiting the benefits of surgical resection. Accurate staging of gastric cancer is essential to ensure optimal patient management and prevent undue morbidity from unnecessary surgery.

Subjective trauma perception as a Distinctive predictor of somatization and disability during the 2022 Russian invasion of Ukraine.

Objectives: This study examines the association between the Subjective Traumatic Outlook (STO), somatization, and physical and mental aspects of disability during wartime in Ukraine. It highlights the STO's role in emphasizing the perceptual component of trauma as a screening tool, distinguishing somatic symptoms alongside physical and psychological disability.

Method: A national sample of 1895 Ukrainians affected by the Russian invasion completed the International Trauma Questionnaire (ITQ), the Somatic Symptom Scale-8 (SSS-8), the World Health Organization Disability Assessment Schedule (WHODAS), and the STO.

Advanced microgrid optimization using price-elastic demand response and greedy rat swarm optimization for economic and environmental efficiency.

In this paper, a comprehensive energy management framework for microgrids that incorporates price-based demand response programs (DRPs) and leverages an advanced optimization method-Greedy Rat Swarm Optimizer (GRSO) is proposed. The primary objective is to minimize the generation cost and environmental impact of microgrid systems by effectively scheduling distributed energy resources (DERs), including renewable energy sources (RES) such as solar and wind, alongside fossil-fuel-based generators. Four distinct demand response models-exponential, hyperbolic, logarithmic, and critical peak pricing (CPP)-are developed, each reflecting a different price elasticity of demand.

Energy feature extraction and visualization of voltage sags using wavelet packet analysis for enhanced power quality monitoring.

Power quality (PQ) disturbances, such as voltage sags, are significant issues that can lead to damage in electrical equipment and system downtime. Detecting and classifying these disturbances accurately is essential for maintaining reliable power systems. This paper introduces a novel approach to voltage sag analysis by employing wavelet packet analysis combined with energy-based feature extraction to enhance PQ monitoring.

The effect of a general practitioner's perception of a patient request for antibiotics on antibiotic prescribing for respiratory tract infections: secondary analysis of a point prevalence audit survey in 18 European countries.

Background: Illness severity, comorbidity, fever, age and symptom duration influence antibiotic prescribing for respiratory tract infections (RTI). Non-medical determinants, such as patient expectations, also impact prescribing.

Aim: To quantify the effect of general practitioners' (GPs') perception of a patient request for antibiotics on antibiotic prescribing for RTI and investigate effect modification by medical determinants and country.

Superhero in a skirt: Psychological resilience of Ukrainian refugee women in Poland. A thematic analysis.

This study delves into the diverse experiences of Ukrainian refugee women in Poland amid the ongoing Russian war, employing a community-based participatory action research approach in collaboration with a Polish foundation aiding Ukrainian war refugees. With the practical aim of formulating recommendations for the third sector assisting refugees, 33 semi-structured interviews ( = 40.29; = 11.

Urgent Cardiac Surgery for Patient With Floating Thrombus in the Left Ventricle.

A 65-year-old patient was admitted to the Institute with complaints of shortness of breath, palpitation, and limb edema. Comorbidities were type 2 diabetes mellitus, gout, obesity. Echo: left ventricular ejection fraction 22%, left ventricular aneurysm (LVA), floating thrombus 5.

Co-expression of the RPS6KB1 and PDPK1 genes for production of activated p70S6K1 using bac-to-bac baculovirus expression system.

Background: Ribosomal protein S6 kinase 1 (p70S6K1) is a member of the AGC family of serine/threonine kinases which plays a role in various cellular processes, including protein synthesis, cell growth, and survival. Dysregulation of p70S6K1, characterized by its overexpression and/or hyperactivation, has been implicated in numerous human pathologies, particularly in several types of cancer. Therefore, generating active, recombinant p70S6K1 is critical for investigating its role in cancer biology and for developing novel diagnostic or therapeutic approaches.

The Catalytic Activity of Polyaniline in Hydrogenation Reactions with Molecular Hydrogen.

This study unveils a novel property of polyaniline by establishing its catalytic activity in heterogeneous hydrogenation with molecular hydrogen. Polyaniline was activated by heat-treating at different temperatures in a hydrogen atmosphere. The sample treated at 300 °C exhibited the highest catalytic activity for ethylene hydrogenation in the gas phase at atmospheric pressure and for p-nitrotoluene or α-methylstyrene hydrogenation in the liquid phase.

Superior hypophyseal artery aneurysm: microsurgical vs. endovascular treatment.

This study aimed to provide an updated evidence of superior hypophyseal artery (SHA) aneurysms management, including their clinical implications, predictive factors for rupture, therapeutic approaches, and post-treatment outcomes. This systematic review and meta-analysis, following PRISMA guidelines, assessed the literature on superior hypophyseal artery aneurysms. Studies were selected based on predefined criteria, focusing on coiling and clipping interventions.

Analysis of entropy on the European markets of energy and energy commodities prices.

The paper analyzes the problem of entropy in the moments of transition from a normal economic situation (2015-2019) to the Pandemic period (2020-2021) and the period of Russia's attack on Ukraine (2022-2023). The research in the article is based on the analysis of electricity, oil, coal, and gas prices in 27 countries of the European Union and Norway. The daily data cover the period from January 1, 2015, to March 30, 2023, and were analyzed using two-dimensional sets of electricity and commodity prices.

Effect of chronic total occlusion of coronary arteries on cardiovascular outcomes in patients undergoing transcatheter aortic valve replacement: A systematic review and meta-analysis.

Background: Transcatheter aortic valve replacement (TAVR) has significantly advanced the treatment of severe aortic stenosis (AS), particularly in elderly patients who often have coexisting coronary artery disease (CAD). Chronic total occlusion (CTO), a severe form of CAD, may negatively impact outcomes in TAVR patients, though data are limited. This meta-analysis aims to evaluate the impact of CTO on TAVR outcomes.

Application of the DRASTIC Model to Assess the Vulnerability of Groundwater Contamination Near Zaporizhzhia Nuclear Power Plant, Ukraine.

Russia's invasion of Ukraine continues to have a devastating effect on the well-being of Ukrainians and their environment. We evaluated a major environmental hazard caused by the war: the potential for groundwater contamination in proximity to the Zaporizhzhia Nuclear Power Plant (NPP). We quantified groundwater vulnerability with the DRASTIC index, which was originally developed by the United States Environmental Protection Agency and has been used at various locations worldwide to assess relative pollution potential.

Global prevalence and potential factors influencing willingness for renal transplantation in end-stage renal disease patients: A systematic review and meta- analysis.

The prevalence of willingness to undergo renal transplantation and its potentially associated factors have been documented in multiple prior studies across different regions, yet certain findings are conflicting. The aim of this study was to determine the global prevalence of willingness for renal transplantation and identify its associated factors through meta-analysis methods. Databases such as Scopus, PubMed, and Embase were utilized for the search strategy, covering the period from April to May 2024.

The effect of conflict on damage to medical facilities in Mariupol, Ukraine: A quasi-experimental study.

Medical facilities are civilian objects specially protected by international humanitarian law. Despite the need for systematic documentation of the effects of war on medical facilities for judiciary accountability, current methods for surveilling damage to protected civilian objects during ongoing armed conflict are insufficient. Satellite imagery damage assessment confers significant possibilities for investigating patterns of war.