Epithelial mesenchymal transition and cancer stem cell markers in oral epithelial dysplasia and oral squamous cell carcinoma.

The role of cancer stem cells (CSC) in oral cancer is widely accepted. Yet, the existence of CSC in dysplastic tissue and the molecular pathways of progression from dysplasia to malignancy remain to be explored. Our retrospective study aimed to analyze the presence of CSC in oral epithelial dysplasia and oral squamous cell carcinoma (OSCC) concerning two epithelial-mesenchymal transition markers: Snail and E-cadherin.

Predictability of success of endoscopic vesicoureteral reflux treatment utilizing clinical risk factors and intraoperative injection characteristics.

Introduction: The guidelines lack clarity on how to follow the patients after endoscopic treatment for vesicoureteral reflux (VUR). The most discussed question is the need for voiding cystourethrogram (VCUG). Risk-based approaches that consider patient characteristics, disease severity, or factors related to the surgery itself could reduce its use, but a satisfactory predictive model has not yet been established.

Comparison of Drug Delivery Systems with Different Types of Nanoparticles in Terms of Cellular Uptake and Responses in Human Endothelial Cells, Pericytes, and Astrocytes.

: The key components of the blood-brain barrier (BBB) are endothelial cells, pericytes, astrocytes, and the capillary basement membrane. The BBB serves as the main barrier for drug delivery to the brain and is the most restrictive endothelial barrier in the body. Nearly all large therapeutic molecules and over 90% of small-molecule drugs cannot cross the BBB.

Indomethacin-encapsulated PLGA nanoparticles improve therapeutic efficacy by increasing apoptosis and reducing motility in glioblastoma cells.

Glioblastoma, with a low survival rate, is an aggressive and difficult-to-treat lethal type of brain cancer. Indomethacin (IND), a non-steroidal anti-inflammatory drug, has antitumoral activity in many cancers, including gliomas. However, its poor aqueous solubility is a critical issue.

Single Apheresis Session on the 4th Day of Granulocyte Colony-Stimulating Factor Administration Seems Convenient to Collect Enough Peripheral Blood Stem Cells from Healthy Donors.

Background: To minimize adverse events of peripheral blood stem cell (PBSC) collection in healthy donors, it is reasonable to limit the total dose of granulocyte colony-stimulating factor (G-CSF) and/or the number of apheresis days without decreasing of PBSCs yield. Therefore, we have started to collect G-CSF induced PBSCs on day 4 instead of on day 5. So, we retrospectively aimed to investigate the results of this 4-day G-CSF administration.

Antimicrobial and Antibiofilm Activity of Green Synthesized Silver Nanoparticles by Using In Vitro Grown Aloe vera L.

In this study, in vitro grown Aloe vera L. tissues were used for AgNP synthesis. Adventitious root and callus tissues were grown in MS medium containing 1 mg/L IAA and 1 mg/L NAA.

Survival Outcomes of Patients with Primary Plasma Cell Leukemia in the Era of Proteasome Inhibitors and Immunomodulatory Agents: A Real-Life Multicenter Analysis.

Objective: In this study, we aimed to obtain real-life data on the use of antimyeloma agents, which significantly increase overall survival (OS) in multiple myeloma (MM) patients, in primary plasma cell leukemia (pPCL) patients with poor prognosis.

Materials And Methods: Data from 53 patients who were diagnosed with pPCL between 2011 and 2020 and who used at least one proteasome inhibitor (PI) and/or immunomodulatory (IMID) agent were analyzed retrospectively. Depending on the year of the pPCL diagnosis, 20% leukocytes or ≥2x10/L plasma cells in the peripheral blood was used as a diagnostic criterion.

Evaluation of Facial Asymmetry in Patients with Crooked Nose.

Background: This study aims to explore the correlation between facial asymmetry and a crooked nose using objective methodologies.

Methods: The cohort of 57 patients who underwent septorhinoplasty surgery for aesthetic reasons between 2019 and 2022. Patients were categorized based on the type of nasal axis deviation.

Efficiency of oral keratinized gingiva detection and measurement based on convolutional neural network.

Background: With recent advances in artificial intelligence, the use of this technology has begun to facilitate comprehensive tissue evaluation and planning of interventions. This study aimed to assess different convolutional neural networks (CNN) in deep learning algorithms to detect keratinized gingiva based on intraoral photos and evaluate the ability of networks to measure keratinized gingiva width.

Methods: Six hundred of 1200 photographs taken before and after applying a disclosing agent were used to compare the neural networks in segmenting the keratinized gingiva.

Utilizing the Ex-Vivo Bovine Model in Retrograde Intrarenal Surgery Training.

Objective: To present an ex-vivo bovine model for retrograde intrarenal surgery (RIRS) training.

Materials And Methods: The model was specifically developed for a pre-congress course organized as part of the National Pediatric Urology Congress. The course involved a 2-day online theoretical segment followed by hands-on training.

Higher heating value estimation of wastes and fuels from ultimate and proximate analysis by using artificial neural networks.

Higher heating value (HHV) is one of the most important parameters in determining the quality of the fuels. In this study, comparatively large datasets of ultimate and proximate analysis are constructed to be used in HHV estimation of several classes of fuels, including char & fossil fuels, agricultural wastes, manure (chicken, cow, horse, sheep, llama, and pig), sludge (like paper, paper-mil, sewage, and pulp), micro/macro-algae's, wastes (RDF and MSW), treated woods, untreated woods, and others (non-fossil pyrolysis oils) between the HHV range of 4.22-55.

Prematurity May Affect the Postoperative Sensory Results in Children With Strabismus.

Purpose: To analyze the motor and sensory outcomes of strabismus surgery in children born preterm (premature group) and full-term (control group).

Methods: The study was performed at a tertiary university hospital. Children who underwent strabismus surgery between 2012 and 2019 were retrospectively reviewed.

Mapping the research landscape of bauxite by-products (red mud): An evolutionary perspective from 1995 to 2022.

The global population growth has significantly impacted energy and raw material consumption, unmatched since the Industrial Revolution. Among metals, aluminium ranks second only to steel, with annual production exceeding 69 million tonnes. Due to its high demand, bauxite, the primary ore from which aluminium is extracted, is now classified as a critical material in the EU and the US, given the potential risk of supply shortages for essential applications.

Effects of prematurity and retinopathy of prematurity on refractive errors and biometric optic components in school children: results of a tertiary center from Turkey.

Purpose: To reveal refractive errors, the relationship between refractive errors and optical parameters, and the effect of prematurity and retinopathy of prematurity (ROP) on ocular development in school children with a history of prematurity.

Methods: Premature children aged 8-12 years were divided into 3 groups as those without ROP (Group 1), with ROP that did not require treatment (Group 2), and with laser-treated ROP (Group 3). Age-matched full-term healthy children were included in the control group.

Investigation of Structural, Morphological, and Optical Properties of Novel Electrospun Mg-Doped TiO Nanofibers as an Electron Transport Material for Perovskite Solar Cells.

Perovskite solar cells (PSCs) are quickly becoming efficient solar cells due to the effective physicochemical properties of the absorber layer. This layer should ideally be placed between a stable hole transport material (HTM) layer and a conductive electron transport material (ETM) layer. These outer layers play a critical role in the current densities and cell voltages of solar cells.

A Decarbonization Approach for FeCr Production.

In this study, the reducing smelting of chromite concentrates by EAF-assisted metallothermic method was investigated. The effect of Al and Al addition amount, time, and the ratio of flux addition on the produced metal and slag compositions and metal recovery were investigated. It was seen that ferrochrome can be produced from fine-grained chromite concentrate by this method.

Prediction of spp. Population in Food Products and Culture Media Using Machine Learning-Based Regression Methods.

Machine learning approaches are alternative modelling techniques to traditional modelling equations used in predictive food microbiology and utilise algorithms to analyse large datasets that contain information about microbial growth or survival in various food matrices. These approaches leverage the power of algorithms to extract insights from the data and make predictions regarding the behaviour of microorganisms in different food environments. The objective of this study was to apply various machine learning-based regression methods, including support vector regression (SVR), Gaussian process regression (GPR), decision tree regression (DTR), and random forest regression (RFR), to estimate bacterial populations.

Lower Body Mass Index and Prognostic Nutritional Index Are Associated with Poor Posttransplant Outcomes in Lymphoma Patients Undergoing Autologous Stem Cell Transplantation.

Introduction: Pretransplant inflammatory and nutritional status has not been widely explored in terms of its impact on autologous hematopoietic stem cell transplantation (auto-HSCT) outcomes in lymphoma patients. We aimed to evaluate the impact of body mass index (BMI), prognostic nutritional index (PNI), and C-reactive protein to albumin ratio (CAR) on auto-HSCT outcomes.

Methods: We retrospectively analyzed 87 consecutive lymphoma patients who underwent their first auto-HSCT at the Adult Hematopoietic Stem Cell Transplantation Unit at Akdeniz University Hospital.

Development of prediction software to describe total mesophilic bacteria in spinach using a machine learning-based regression approach.

The purpose of this study was to create a tool for predicting the growth of total mesophilic bacteria in spinach using machine learning-based regression models such as support vector regression, decision tree regression, and Gaussian process regression. The performance of these models was compared to traditionally used models (modified Gompertz, Baranyi, and Huang models) using statistical indices like the coefficient of determination (R) and root mean square error (RMSE). The results showed that the machine learning-based regression models provided more accurate predictions with an R of at least 0.

Utilization possibilities of steel slag as backfill material in coastal structures.

The aim of this study is to investigate the utilization possibilities of steel slags, basic oxygen furnace (BOF) and electric arc furnace (EAF) slags, as backfill material in coastal structures. Within the scope of the study, physical, mechanical and chemical properties of the steel slags were investigated and their potential to create environmental risks were evaluated. The results showed that soundness loss and filler content ratio were below the limit values for steel slags to be used as backfill material.

Posterior Capsulotomy Size Affects the Formation of Significant Visual Axis Opacification in Congenital and Developmental Cataract.

Purpose: To assess the relationship between posterior capsulotomy size and significant visual axis opacification (VAO) in congenital and developmental cataract.

Methods: The charts of children aged 7 years and younger who underwent cataract surgery including primary posterior capsulotomy (PPC) and limited anterior vitrectomy between 2012 and 2022 were retrospectively reviewed. Eyes with PPC size smaller than the anterior capsulotomy size were considered as group 1.

Polatuzumab vedotin, rituximab, and bendamustine combination in relapsed or refractory diffuse large B-cell lymphoma: a real-world data from Turkey.

Polatuzumab vedotin (Pola) with bendamustine and rituximab (BR) is a promising option for patients with relapsed/refractory (R/R) diffuse large B-cell lymphoma (DLBCL). We analyzed the data of 71 R/R DLBCL patients who had been treated with Pola-BR in the named patient program from March 2018 to April 2021 from 32 centers in Turkey. All patients received up to six cycles of Pola 1.

The Prognostic Impact of Pretreatment Geriatric Nutritional Risk Index in Patients with Diffuse Large B-Cell Lymphoma.

The prognostic value of the geriatric nutritional risk index (GNRI) is not clear in patients with diffuse large B-cell lymphoma (DLBCL). This study was designed to analyze the GNRI in DLBCL patients and to investigate its prognostic value in DLBCL. The archive records of DLBCL patients between 2008 and 2020 at the Akdeniz University Hospital were retrospectively analyzed.

Incidence and risk factors for retinopathy of prematurity in premature, extremely low birth weight and extremely low gestational age infants.

Background: The aim of the study was to determine the incidence and risk factors of retinopathy of prematurity (ROP) in premature, extremely low birth weight (BW, ELBW) and extremely low gestational age (GA, ELGA) infants.

Methods: The medical records of preterm infants who were screened for ROP between January 2012 and December 2020 were retrospectively reviewed. Only one eye of each infant with higher grade ROP was included in the study.