Mpox virus (MPXV): comprehensive analysis of pandemic risks, pathophysiology, treatments, and mRNA vaccine development.

Mpox, formerly known as monkeypox, is a zoonotic disease caused by the Mpox virus (MPXV), which has recently attracted global attention due to its potential for widespread outbreaks. Initially identified in 1958, MPXV primarily spreads to humans through contact with infected wild animals, particularly rodents. Historically confined to Africa, the virus has expanded beyond endemic regions, with notable outbreaks in Europe and North America in 2022, especially among men who have sex with men (MSM).

Health Literacy of General Surgery Patients: A Cross-sectional Study.

Purpose: Health literacy is a complex issue that affects the health outcomes of surgical patients. This study aimed to determine the health literacy of general surgery patients.

Design: A descriptive cross-sectional study.

Generative Adversarial Network Based Contrast Enhancement: Synthetic Contrast Brain Magnetic Resonance Imaging.

Rationale And Objectives: Magnetic resonance imaging (MRI) is a vital tool for diagnosing neurological disorders, frequently utilising gadolinium-based contrast agents (GBCAs) to enhance resolution and specificity. However, GBCAs present certain risks, including side effects, increased costs, and repeated exposure. This study proposes an innovative approach using generative adversarial networks (GANs) for virtual contrast enhancement in brain MRI, with the aim of reducing or eliminating GBCAs, minimising associated risks, and enhancing imaging efficiency while preserving diagnostic quality.

Criminal responsibilities of nurses in Turkish criminal law and determining the awareness levels of senior nursing students regarding this responsibility.

Background: It is noteworthy that there is an increase in medical lawsuits filed against nurses in Turkey and in the rest of the world. The purpose of this article is to examine nurses' criminal liability and senior nursing students' awareness of these responsibilities.

Methods: All senior students (n = 309) of the Faculty of Nursing who were studying in the 2020-2021 academic year of the university constituted the population of the research.

The impact of deep learning on diagnostic performance in the differentiation of benign and malignant thyroid nodules.

Aims: This study aims to use deep learning (DL) to classify thyroid nodules as benign and malignant with ultrasonography (US). In addition, this study investigates the impact of DL on the diagnostic success of radiologists with different experiences. Material and methods: This study included 576 US images of thyroid nodules.

Evaluation of stress, bio-psycho-social response and coping strategies during the practical training in nursing students: a cross sectional study.

Background: The aim of the study was to identify stress level, bio-psycho-social response and coping behavior of nursing students during the practical training.

Methods: A cross-sectional study was carried out with the 1st, 2nd, 3rd, 4th-year nursing students (n = 1181) between September 2018-may 2019. Data was collected using by Socio-Demographic Questionnaire, The Student Nurse Stress Index, The Bio-Psycho-Social Response Scale and Coping Behavior Inventory.

Early postoperative growth hormone measurement as a predictive marker for acromegaly remission.

Growth hormone (GH) has a short half-life and declines abruptly following somatotropinoma surgery, enabling its prompt measurement as an indicator of surgical success. This study assesses the predictive value of early postoperative GH levels for 3-month and >1-year remission of acromegaly. We conducted a retrospective search in our database of patients who had undergone transsphenoidal surgery of GH-secreting pituitary adenoma from January 2011 to June 2022.

The Effect of a Casein and Gluten-Free Diet on the Epigenetic Characteristics of FoxP3 in Patients With Hashimoto's Thyroiditis.

Background Hashimoto's thyroiditis (HT) is an autoimmune thyroid disease characterized by inflammation and dysfunction of the thyroid gland, resulting in hypothyroidism, it results in impaired thyroid hormone generation and mimics hypothyroidism. The disease involves complex interactions among genetic, environmental, and epigenetic factors, particularly affecting the regulation of T regulatory (Treg) cells, including CD4 + + T cells. Treg cells, defined as CD4 + T cells, rely on the expression of the transcription factor, which is crucial for their development and differentiation.

Diagnostic Performance of 99mTc-Sestamibi SPECT/CT and 18F-Choline PET/CT in Locating Hyperfunctioning Parathyroid Glands in Patients with Primary Hyperparathyroidism.

Objective: This study aimed to assess the diagnostic performance of Tc-sestamibi SPECT/CT and F-choline PET/CT in detecting hyperfunctioning parathyroid glands in patients undergoing surgery for primary hyperparathyroidism (PHPT).

Methods: A retrospective analysis was conducted on patients who underwent PHPT-related surgery between April 2019 and May 2022. The study focused on patients undergoing either Tc-sestamibi SPECT/CT (81 patients) or F-choline PET/CT (33 patients) scans before surgery to pinpoint hyperfunctioning parathyroid gland(s).

Duties of Anaesthetists and Assessment of Awareness, Concerns, and Expectations on Anaesthesia Practices.

Objective: Numerous studies performed worldwide indicate that the public has limited knowledge of anaesthesia practices and anaesthetists' duties and responsibilities. This study aimed to identify the level of knowledge about anaesthetists and anaesthesia practices, and to assess the reasons for anxiety about anaesthesia of the population admitted to our hospital, which is tertiary in Turkey. The secondary aim was to analyze their differences according to sex, education level, and acquired anaesthesia experience.

Investigation of the IL7Rα Gene Polymorphism rs6897932 and the Expression Levels of the CDH1, TTPAL, and FHIT Genes in Patients with Breast Cancer.

Objective: The aim of this study was to determine the expression levels of CDH1, FHIT, and TTPAL genes and to determine the genotype and allele frequencies of the IL7Rα gene polymorphism rs6897932 in patients with breast cancer.

Methods: The expression levels of genes and the distribution of the IL7Rα gene polymorphism rs6897932 were analyzed by real-time polymerase chain reaction.

Results: No differences in genotype ratios or allele frequencies were observed between the 2 groups for the IL7Rα gene polymorphism rs6897932.

Determination of PDK1, SLC2A1, EGFR, PTEN, CD276 Gene Expression Levels and IDH1 Gene R132H Polymorphism in Brain Tumor Tissues.

Aim: To determine IDH1 R132H codon and the mRNA levels of PDK1, SLC2A1, EGFR, PTEN, and CD276 genes in brain tumors.

Material And Methods: This study included 15 brain tumor tissues [pituitary adenoma (1), pilocytic astrocytoma (1), mixed meningioma (2), mesothelial meningioma (2), atypical meningioma (1), immature teratoma (1), glioblastoma (4), meningioma (2), and bladder cancer metastasis (1)]. The expression levels of genes in brain tumor tissues were analyzed using real-time PCR.

Medical treatment of acromegaly-experience from the Croatian acromegaly registry.

Purpose: The aim of this study was to review therapeutic outcomes of the medical treatment of patients with acromegaly based on real-world data from the Croatian Acromegaly Registry.

Methods: In this retrospective study we investigated 163 patients (101 female, 62 male, age at diagnosis 47.2 ± 13.

A general framework for robust stability analysis of neural networks with discrete time delays.

Robust stability of different types of dynamical neural network models including time delay parameters have been extensively studied, and many different sets of sufficient conditions ensuring robust stability of these types of dynamical neural network models have been presented in past decades. In conducting stability analysis of dynamical neural systems, some basic properties of the employed activation functions and the forms of delay terms included in the mathematical representations of dynamical neural networks are of crucial importance in obtaining global stability criteria for dynamical neural systems. Therefore, this research article will examine a class of neural networks expressed by a mathematical model that involves the discrete time delay terms, the Lipschitz activation functions and possesses the intervalized parameter uncertainties.

Investigation of the expression levels of CDH1, FHIT, PTEN, and TTPAL genes in colorectal tumors.

Background: The main aim of the study is to assess expression levels of CDH1, FHIT, PTEN, and TTPAL genes in tumors and peripheral bloods of colorectal cancer patients in staged I-IV.

Methods: Gene expression analysis of related genes were performed for tumor tissues and peripheral blood samples of 51 colorectal cancer patients and colon tissues and blood samples of 5 healthy individuals. The real-time-PCR reaction method was used for the analysis.