Effects of Dexpanthenol on Corneal Neovascularization and Inflammation on Rat Model.

Purpose: To evaluate the effect of subconjunctival injection of dexpanthenol on corneal neovascularization and inflammation in rats with induced chemical burns.

Methods: This experimental study included 40 female albino Wistar rats. Chemical burns were induced in the right eye of all rats on the first day, and the left eye was used as a control.

Machine Learning-Based Prediction of Prostate Biopsy Necessity Using PSA, MRI, and Hematologic Parameters.

To establish a machine learning (ML) model for predicting prostate biopsy outcomes using prostate-specific antigen (PSA) values, multiparametric magnetic resonance imaging (mpMRI) findings, and hematologic parameters. The medical records of the patients who had undergone a prostate biopsy were evaluated. Laboratory findings, mpMRI findings, and prostate biopsy results were collected.

Risk Assessment for Preeclampsia in the Preconception Period Based on Maternal Clinical History via Machine Learning Methods.

: This study was aimed to identify the most effective machine learning (ML) algorithm for predicting preeclampsia based on sociodemographic and obstetric factors during the preconception period. : Data from pregnant women admitted to the obstetric clinic during their first trimester were analyzed, focusing on maternal age, body mass index (BMI), smoking status, history of diabetes mellitus, gestational diabetes mellitus, and mean arterial pressure. The women were grouped by whether they had a preeclampsia diagnosis and by whether they had one or two live births.

Molecular detection and subtype distribution of Blastocystis sp. from shelter dogs and cats in Van, Turkey: First report of ST10 in cats and ST1, ST10 and ST30 in dogs.

Blastocystis is an intestinal protist commonly found in humans and many different animal species. It is probably the most common enteric parasite with an estimated one billion infections worldwide. The fecal materials for this study were collected from 100 cats and 200 dogs of different ages and sexes in shelters in Van, Turkey.

A Mixture Modeling of the Behavioral Activation System and Problematic Internet Use in Adolescents: The Role of Metacognition, Online Dissociation, and Insomnia.

Due to the rapidly developing technological advancements, the overuse of the Internet has led to the emergence of problematic Internet use, which has become a part of our daily lives. This study aims to investigate the relationships between problematic Internet use, Behavioral Activation System (BAS), metacognition, online dissociative experiences, and insomnia. Participants were 341 Turkish adolescents aged between 15 and 19 years (Mean = 15.

Downregulation of MGLL and microRNAs (miR-302b-5p, miR-190a-3p, miR-450a-2-3p) in non-small cell lung cancer: potential roles in pathogenesis.

Genes involved in lipid metabolism have been considered potential therapeutic targets in lung cancer because lipid metabolism is severely disrupted in this cancer. Monoglyceride lipase (MGLL) is a lipolytic enzyme that converts monoacylglycerides to fatty acids and glycerol. MicroRNAs (miRNA), one of the most important epigenetic regulators of gene expression, are also considered potential biomarkers in diagnosing, treating, and prognosis lung cancer.

Hyperandrogenemia impairs endometrial vitamin D receptor expression in polycystic ovary syndrome.

Objectives: To determine the effects of hyperandrogenemia and other phenotypic parameters on endometrial vitamin D receptor (VDR-X2 and VDR-X4) expression in women with polycystic ovary syndrome (PCOS) undergoing ovarian stimulation and total embryo freezing.

Methods: Forty-four PCOS patients were divided into four phenotypes according to the criteria for hyperandrogenemia (HA), ovulatory dysfunction (OD), and polycystic ovary morphology (PCOM): phenotype A (HA+OD+PCOM), phenotype B (HA+OD), phenotype C (HA+PCOM), and phenotype D (OD+PCOM). Endometrial VDR expression was determined by real-time PCR and immunohistochemistry.

Role of C-Reactive Protein/Lymphocyte and Neutrophil/Lymphocyte Ratios in Predicting Mortality in Patients with Fournier's Gangrene.

Background And Objectives: Fournier's gangrene (FG) is a polymicrobial-induced necrotizing fasciitis that affects the deep and superficial tissues of the perineal, perianal, scrotal, and genital regions. This study aimed to investigate the role of C-reactive protein (CRP)/lymphocyte and neutrophil/lymphocyte ratios, which are objective markers of inflammatory response, in predicting mortality in patients with FG.

Patients And Methods: Seventy-one patients who underwent surgery for FG between 2019 and 2023 were evaluated retrospectively.

Roles of temperature, materials, and domain inversion in high-performance, low-bias-drift thin film lithium niobate blue light modulators.

We demonstrate a thin film lithium niobate electro-optic modulator operating at 456 nm with an RF voltage-length product of 0.38 V-cm and a bandwidth of 6.9 GHz.

GnRH antagonist protocol with hCG triggering ameliorates fertilization defect caused by failure of cumulus cell pentraxin-3 expression in unilateral endometriomas.

Objective: The aim of the study was to determine the expression pattern of long pentraxin 3 (PTX3) mRNA in cumulus cells (CCs) isolated from metaphase II oocytes of women with unilateral endometrioma undergoing controlled ovarian stimulation using a gonadotropin-releasing hormone antagonist (GnRHa) protocol.

Patients And Methods: A total of 60 CC samples, 30 from the affected ovary and 30 from the contralateral ovary, were collected from 12 patients with unilateral endometrioma who underwent flexible GnRHa protocol with recombinant human chorionic gonadotropin (rhCG) trigger. Thirty CC samples collected from the left ovary of 12 women with male factor infertility were used as external controls.

Does the FARNet neural network algorithm accurately identify Posteroanterior cephalometric landmarks?

Background: We explored whether the feature aggregation and refinement network (FARNet) algorithm accurately identified posteroanterior (PA) cephalometric landmarks.

Methods: We identified 47 landmarks on 1,431 PA cephalograms of which 1,177 were used for training, 117 for validation, and 137 for testing. A FARNet-based artificial intelligence (AI) algorithm automatically detected the landmarks.

Turkish adaptation of the antenatal risk questionnaire-revised: study of validity and reliability.

Objective: This study sought to translate the Antenatal Risk Questionnaire-Revised (ANRQ-R) into Turkish and evaluate its psychometric properties for assessing psychosocial vulnerabilities among Turkish-speaking pregnant women.

Methods: The ANRQ-R was translated into Turkish following standard linguistic adaptation procedures. Psychometric properties were then examined using a cross-sectional study design, involving 156 pregnant women recruited from antenatal clinics in Turkey.

Tooth numbering with polygonal segmentation on periapical radiographs: an artificial intelligence study.

Objectives: Accurately identification and tooth numbering on radiographs is essential for any clinicians. The aim of the present study was to validate the hypothesis that Yolov5, a type of artificial intelligence model, can be trained to detect and number teeth in periapical radiographs.

Materials And Methods: Six thousand four hundred forty six anonymized periapical radiographs without motion-related artifacts were randomly selected from the database.

Prediction of complications after laparoscopic partial nephrectomy: feasibility of E‑PASS score.

Purpose: With significant advancements in laparoscopic procedures and tools over the last decade, the partial nephrectomy (PN) surgical approach has gradually transformed from open to laparoscopic partial nephrectomy (LPN). Although numerous studies evaluating the postoperative complications of laparoscopic partial nephrectomy can be found in the literature, a scoring system that addresses both preoperative physical condition and intraoperative risk factors has not yet been established. The Estimation of Physiological Ability and Surgical Stress (E-PASS) score is a scoring system that considers both the patient's preoperative condition and intraoperative variables to predict the risk of postoperative complications in surgically treated patients.

Polycystic Ovary Syndrome Accompanied by Hyperandrogenemia or Metabolic Syndrome Triggers Glomerular Podocyte Injury.

To determine whether the urinary excretion of podocyte degradation products varies according to PCOS phenotype and metabolic syndrome (MetS). The concentrations of podocalyxin (PDX) and nephrin, chronic markers of podocyte damage, and neutrophil gelatinase-associated lipocalin (NGAL), a marker of acute glomerular damage, were analyzed in the morning urine samples of 50 PCOS patients and 50 healthy controls matched by age and BMI. Albuminuria was assessed by calculating the urine albumin-creatinine ratio (uACR).

A pilot study on the epidemiology, diagnosis and characterization of Echinococcus granulosus sensu lato in sheep, goats and dogs in Siirt province of Türkiye revealed remarkable adaptation of Echinococcus canadensis (G6/G7) in goats.

Cystic echinococcosis (CE), caused by Echinococcus granulosus sensu lato (s.l.), represents one of the most significant zoonotic diseases globally, affecting both humans and animals.

A YOLO-V5 approach for the evaluation of normal fillings and overhanging fillings: an artificial intelligence study.

Dental fillings, frequently used in dentistry to address various dental tissue issues, may pose problems when not aligned with the anatomical contours and physiology of dental and periodontal tissues. Our study aims to detect the prevalence and distribution of normal and overhanging filling restorations using a deep CNN architecture trained through supervised learning, on panoramic radiography images. A total of 10480 fillings and 2491 overhanging fillings were labeled using CranioCatch software from 2473 and 1850 images, respectively.