Quantum Nonlinear Optics on the Edge of a Few-Particle Fractional Quantum Hall Fluid in a Small Lattice.

We study the quantum dynamics in response to time-dependent external potentials of the edge modes of a small fractional quantum Hall fluid composed of few particles on a lattice in a bosonic Laughlin-like state at filling ν=1/2. We show that the nonlinear chiral Luttinger liquid theory provides a quantitatively accurate description even for the small lattices that are available in state-of-the-art experiments, away from the continuum limit. Experimentally accessible data related to the quantized value of the bulk transverse Hall conductivity are identified both in the linear and the non-linear response to an external excitation.

Development and performance evaluation of a novel scintillation-based active shielding gamma probe.

The gamma probe is a commonly used detector for localizing sentinel lymph nodes after the injection of radiopharmaceuticals. In recent years, studies have focused on improving the features of gamma probes to achieve more consistent localization of the radiotracer uptake. As part of this effort, a novel gamma probe prototype based on an active shielding was developed, and its characteristics, including sensitivity, resolution and shielding effectiveness, were determined.

What are the Barriers of Chronic Obstructive Pulmonary Disease (COPD) Patients in Smoking Cessation?

Objectives: Smoking is the major determinant of developing chronic obstructive pulmonary disease (COPD). A substantial proportion of patients with COPD continue smoking although they have significant respiratory symptoms, exacerbation history and comorbidities. We aimed to find the associated factors and clinical features of the patients who maintain smoking.

Unveiling Off-Target Mutations in CRISPR Guide RNAs: Implications for Gene Region Specificity.

The revolutionary CRISPR-Cas9 technology has revolutionized genetic engineering, and it holds immense potential for therapeutic interventions. However, the presence of off-target mutations and mismatch capacity poses significant challenges to its safe and precise implementation. In this study, we explore the implications of off-target effects on critical gene regions, including exons, introns, and intergenic regions.

Photoplethysmography-based assessment of varicose vein-related risk factors, exercise health beliefs, and venous refill time in healthcare professionals working in operating rooms and outpatient clinics.

Bacground: Impaired venous return is observed in healthcare professionals who spend long periods standing and sitting. This descriptive cross-sectional study was conducted to evaluate varicose vein-related risk factors, exercise health beliefs, and venous refill time in healthcare professionals working in operating rooms and outpatient clinics by photoplethysmography.

Method: The study sample consisted of 100 healthcare professionals without a diagnosis of peripheral venous insufficiency.

Investigating the Middle Iron Age ceramics of Van Fortress through multi-analytical techniques.

This work presents the characterization results of Middle Iron Age pottery fragments excavated in Van Fortress, the historical capital of the Urartu Kingdom, located on the eastern coast of Lake Van in Turkey. A multi-analytical approach combining optical microscopy, scanning electron microscopy coupled with energy dispersive X-ray spectroscopy (SEM-EDS), X-ray diffraction (XRD), and Fourier-transform infrared spectroscopy (FT-IR) has been employed to investigate the mineralogical composition of ceramics. Micro-Raman spectrometer was also used for the characterization of the pigments used for decoration.

ChatGPT-assisted deep learning model for thyroid nodule analysis: beyond artifical intelligence.

Aims: To develop a deep learning model, with the aid of ChatGPT, for thyroid nodules, utilizing ultrasound images. The cytopathology of the fine needle aspiration biopsy (FNAB) serves as the baseline.

Material And Methods: After securing IRB approval, a retrospective study was conducted, analyzing thyroid ultrasound images and FNAB results from 1,061 patients between January 2017 and January 2022.

Multi-class classification of thyroid nodules from automatic segmented ultrasound images: Hybrid ResNet based UNet convolutional neural network approach.

Background And Objectives: Early detection and diagnosis of thyroid nodule types are important because they can be treated more effectively in their early stages. The types of thyroid nodules are generally stated as atypia of undetermined significance/follicular lesion of undetermined significance (AUS/FLUS), benign follicular, and papillary follicular. The risk of malignancy for AUS/FLUS is typically stated to be between 5 and 15 %, while some studies indicate a risk as high as 25 %.

Assessing turbulent effects in ascending aorta in presence of bicuspid aortic valve.

Aortic valves with bicuspids have two rather than three leaflets, which is a congenital heart condition. About 0.5-2% of people have a bicuspid aortic valve.

Measurement of LYSO crystal light output and energy resolution improvement with acid etching.

In this study, we investigated the impact of chemical etching on the light output and energy resolution of LYSO scintillators using simple, affordable laboratory equipment. We found that etching with phosphoric acid at temperatures between 180 °C and 190 °C improved the light output and energy resolution compared to mechanically polished crystals, even after minimal etching times. Our results show that with 7.

Efficiency Research of Conformal Channel Geometries Produced by Additive Manufacturing in Plastic Injection Mold Cores (Inserts) Used in Automotive Industry.

In the production of geometries that traditional methods cannot produce, it is seen that additive manufacturing (AM) technology, which has come to the fore, has been used extensively in conformal cooling channel (CCC) applications in recent years. This study, conducted within the scope of CCC's use of applied mold cores in automotive industry plastic part production, aimed to reduce the cycle time in the injection printing process. The v1 geometry, which gives the analysis results for ideal printing quality from the channel geometries developed with three different design approaches, is produced with direct metal laser sintering, which is an AM laser sintering technology, and the injection printing cycle time has been reduced by 38%.

Cloning of an Albino Mutation of Using Mapping-by-Sequencing.

We report the molecular characterization of an ethyl methanesulfonate (EMS)-induced mutation that causes albinism and lethality at the seedling stage in . We identified the mutation using a mapping-by-sequencing approach that uses Fisher's exact tests to detect changes in allele frequencies among the seedlings of an F mapping population, which had been pooled according to their phenotypes (wild-type or mutant). After purifying genomic DNA from the plants of both pools, the two samples were sequenced using the Illumina HiSeq 2500 next-generation sequencing platform.

Sexuality, quality of life and psychological well-being in older adults: A correlational study.

Objective: This study aimed at analyzing the relationship between general health status, quality of life, and sexual life among older adults.

Study Design: This descriptive-correlational design study was conducted with the participation of 323 (169 female and 154 male) older people at the age of 65 + . The participants were clients of the outpatient services in a general hospital in Istanbul.

Living with HIV during COVID-19: knowledge and worry about COVID-19, adherence to COVID-19-related precautions, and HIV health outcomes.

The COVID-19 pandemic has been profound impacts on mental and physical health of individuals with chronic diseases. Thus, it is important to understand the effects of the COVID-19 pandemic on people living with HIV. We aimed to assess the association between COVID-19-related knowledge and worry, HIV-related health practices and outcomes, and adherence to precautions related to COVID-19, and possible associations of these factors with HIV treatment outcomes (ART adherence and viral load).

Prediction of risk factors for first trimester pregnancy loss in frozen-thawed good-quality embryo transfer cycles using machine learning algorithms.

Purpose: Can the risk factors that cause first trimester pregnancy loss in good-quality frozen-thawed embryo transfer (FET) cycles be predicted using machine learning algorithms?

Methods: This is a retrospective cohort study conducted at Sisli Memorial Hospital, ART and Reproductive Genetics Center, between January 2011 and May 2021. A total of 3805 good-quality FET cycles were included in the study. First trimester pregnancy loss rates were evaluated according to female age, paternal age, body mass index (BMI), diagnosis of infertility, endometrial preparation protocols (natural/artificial), embryo quality (top/good), presence of polycystic ovarian syndrome (PCOS), history of recurrent pregnancy loss (RPL), recurrent implantation failure (RIF), severe male infertility, adenomyosis and endometriosis.

Do Patient Experiences Have Mediating Roles on Patient Loyalty?

The study aimed to evaluate the mediating roles of patient experiences on patient loyalty. The data were collected through an electronic questionnaire regarding feedback from 5732 patients received outpatient clinics. Patient loyalty was evaluated using the Net Promoter Score (NPS) that patients were asked whether they would like to recommend the hospital to their relatives or friends.