Genomic Insight into Isolates from Fresh Raw Mussels and Ready-to-Eat Stuffed Mussels.

Consuming raw or undercooked mussels can lead to gastroenteritis and septicemia due to contamination. This study analyzed the prevalence, density, species diversity, and molecular traits of spp. in 48 fresh raw wild mussels (FRMs) and 48 ready-to-eat stuffed mussels (RTE-SMs) through genome analysis, assessing health risks.

Predicting Semen Analysis Parameters from Testicular Ultrasonography Images Using Deep Learning Algorithms: An Innovative Approach to Male Infertility Diagnosis.

Semen analysis is universally regarded as the gold standard for diagnosing male infertility, while ultrasonography plays a vital role as a complementary diagnostic tool. This study aims to assess the effectiveness of artificial intelligence (AI)-driven deep learning algorithms in predicting semen analysis parameters based on testicular ultrasonography images. This study included male patients aged 18-54 who sought evaluation for infertility at the Urology Outpatient Clinic of our hospital between February 2022 and April 2023.

Zipper Pattern: An Investigation into Psychotic Criminal Detection Using EEG Signals.

Electroencephalography (EEG) signal-based machine learning models are among the most cost-effective methods for information retrieval. In this context, we aimed to investigate the cortical activities of psychotic criminal subjects by deploying an explainable feature engineering (XFE) model using an EEG psychotic criminal dataset. In this study, a new EEG psychotic criminal dataset was curated, containing EEG signals from psychotic criminal and control groups.

Inheritance patterns of pomological traits in walnut hybridization breeding: influence of parental varieties on nut traits.

Background: Walnut (Juglans regia L.) breeding programs aim to develop new genotypes that exhibit superior agronomic traits, including high yield, improved nut quality, and favorable phenological traits. One of the primary methods used in these programs is hybridization, which involves controlled crosses between selected parent varieties.

Turkish Adaptation of QLQ-SH22 Quality of Sexual Life Assessment Scale in Cancer Patients - Validity and Reliability Study.

Objectives: Cancer or its treatment can have direct or indirect effects on sexual functions. Routine assessment of sexual functioning is essential in cancer patients to identify sexual problems and provide counseling to patients about these issues. This study aimed to investigate the validity and reliability of the Turkish version of the European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire - Sexual Health 22 prepared for the assessment of sexual function in cancer patients.

The effect of cervical length on procedure time and VAS pain score in office hysteroscopy.

This study aimed to investigate the effect of cervical length on procedure time and VAS pain scores during office hysteroscopy. A cross-sectional study was conducted on 50 patients who underwent office hysteroscopy for various indications such as abnormal uterine bleeding and infertility. Exclusion criteria included active vaginal infection, previous cervical surgery, and chronic pelvic pain.

The Effect of Aromatherapy Massage on Cramp Frequency, Pain Intensity, and Quality of Life in Hemodialysis Patients With Muscle Cramps: A Randomized, Placebo-Controlled, Mixed Study.

Muscle cramps, which are frequently encountered in hemodialysis patients, affect individuals bio-psycho-socially, limit their activities of daily living, and reduce their quality of life. In this study, we aimed to evaluate the effects of aromatherapy massage applied in 12 sessions over 4 weeks on cramp frequency, pain severity, and quality of life. The study was conducted as a pretest-posttest, randomized controlled, and single-blinded using a quantitative and qualitative research design.

Efficacy of transbronchial biopsy and frequency of pneumothorax in lung transplant recipients: single center experience.

Objective: Bronchoscopy plays a critical role in the diagnosis and management of lung transplant recipients. We retrospectively evaluated the safety, complications, and efficacy of transbronchial biopsy (TBB) in detecting and grading early rejection.

Materials And Methods: We retrospectively assessed the complications associated with TBB and the adequacy of pathological diagnoses in patients who underwent lung transplantation at Koşuyolu Yüksek İhtisas Training and Research Hospital from December 1, 2016, to April 30, 2023.

Navigating Gynecological Oncology with Different Versions of ChatGPT: A Transformative Breakthrough or the Next Black Box Challenge?

Introduction: The study evaluates the performance of large language model versions of ChatGPT - ChatGPT-3.5, ChatGPT-4, and ChatGPT-Omni - in addressing inquiries related to the diagnosis and treatment of gynecological cancers, including ovarian, endometrial, and cervical cancers.

Methods: A total of 804 questions were equally distributed across four categories: true/false, multiple-choice, open-ended, and case-scenario, with each question type representing varying levels of complexity.

Cardioish: Lead-Based Feature Extraction for ECG Signals.

Electrocardiography (ECG) signals are commonly used to detect cardiac disorders, with 12-lead ECGs being the standard method for acquiring these signals. The primary objective of this research is to propose a new feature engineering model that achieves both high classification accuracy and explainable results using ECG signals. To this end, a symbolic language, named Cardioish, has been introduced.

ChMinMaxPat: Investigations on Violence and Stress Detection Using EEG Signals.

Background And Objectives: Electroencephalography (EEG) signals, often termed the letters of the brain, are one of the most cost-effective methods for gathering valuable information about brain activity. This study presents a new explainable feature engineering (XFE) model designed to classify EEG data for violence detection. The primary objective is to assess the classification capability of the proposed XFE model, which uses a next-generation feature extractor, and to obtain interpretable findings for EEG-based violence and stress detection.

Triglyceride-glucose index in patients with non-functioning adrenal incidentaloma, cortisol-secreting adrenal incidentaloma and healthy controls.

Objective: Cushing's syndrome increases the risk of cardiovascular disease. The triglyceride-glucose (TyG) index has been linked to an increased risk of cardiometabolic disorders. Whether patients with non-functioning adrenal incidentaloma (NFAI) or cortisol-secreting adrenal incidentaloma (CSAI) have altered TyG index is unknown.

Exploring the impact of developmental dysplasia of the hip on refugees with temporary protected status in Türkiye.

Objective: In this study, we examined whether there was a change in the number of children who had been screened by hip ultrasound, the age of first diagnosis, and the number of invasive and conservative treatments applied due to developmental dysplasia of the hip between 2016 and 2022 among refugees who were in "Temporary Protection Status" in Türkiye?

Methods: The records were collected via the e-health database of the Turkish Ministry of Health. Over 1 month old were included in the study.

Results: The number of ultrasonography (USG) that was performed for developmental dysplasia of the hip survey had significantly increased over time.

Utilization of AI - reshaping the future of food safety, agriculture and food security - a critical review.

Artificial intelligence is an emerging technology which harbors a suite of mechanisms that have the potential to be leveraged for reaping value across multiple domains. Lately, there is an increased interest in embracing applications associated with Artificial Intelligence to positively contribute to food safety. These applications such as machine learning, computer vision, predictive analytics algorithms, sensor networks, robotic inspection systems, and supply chain optimization tools have been established to contribute to several domains of food safety such as early warning of outbreaks, risk prediction, detection and identification of food associated pathogens.

Impact of right-sided breast cancer adjuvant radiotherapy on the liver.

Background: In patients with right-sided breast cancer the liver can be partially irradiated during adjuvant radiotherapy (RT). We aimed to determine breast cancer RT effects on liver using with magnetic resonance elastography (MRE) and biological results.

Patients And Methods: This retrospective study enrolled 34 patients diagnosed with right-sided breast cancer who underwent adjuvant RT.

Black-white hole pattern: an investigation on the automated chronic neuropathic pain detection using EEG signals.

Electroencephalography (EEG) signals provide information about the brain activities, this study bridges neuroscience and machine learning by introducing an astronomy-inspired feature extraction model. In this work, we developed a novel feature extraction function, black-white hole pattern (BWHPat) which dynamically selects the most suitable pattern from 14 options. We developed BWHPat in a four-phase feature engineering model, involving multileveled feature extraction, feature selection, classification, and cortex map generation.

QuadTPat: Quadruple Transition Pattern-based explainable feature engineering model for stress detection using EEG signals.

The most cost-effective data collection method is electroencephalography (EEG), which obtains meaningful information about the brain. Therefore, EEG signal processing is crucial for neuroscience and machine learning (ML). Therefore, a new EEG stress dataset has been collected, and an explainable feature engineering (XFE) model has been proposed using the Directed Lobish (DLob) symbolic language.

TATPat based explainable EEG model for neonatal seizure detection.

The most cost-effective data collection method is electroencephalography (EEG) to obtain meaningful information about the brain. Therefore, EEG signal processing is very important for neuroscience and machine learning (ML). The primary objective of this research is to detect neonatal seizures and explain these seizures using the new version of Directed Lobish.

MetaWise: Combined Feature Selection and Weighting Method to Link the Serum Metabolome to Treatment Response and Survival in Glioblastoma.

Glioblastoma (GBM) is a highly malignant and devastating brain cancer characterized by its ability to rapidly and aggressively grow, infiltrating brain tissue, with nearly universal recurrence after the standard of care (SOC), which comprises maximal safe resection followed by chemoirradiation (CRT). The metabolic triggers leading to the reprogramming of tumor behavior and resistance are an area increasingly studied in relation to the tumor molecular features associated with outcome. There are currently no metabolomic biomarkers for GBM.

: a computer tool at the Bilbao Crystallographic Server for the study of pseudo-symmetric or distorted structures.

is a free online program at the Bilbao Crystallographic Server (https://www.cryst.ehu.

Towards dynamically configured databases for CIFs: the new modulated structures open database at the Bilbao Crystallographic Server.

This article presents a web-based framework to build a database without in-depth programming knowledge given a set of CIF dictionaries and a collection of CIFs. The framework consists of two main elements: the public site that displays the information contained in the CIFs in an ordered manner, and the restricted administrative site which defines how that information is stored, processed and, eventually, displayed. Thus, the web application allows users to easily explore, filter and access the data, download the original CIFs, and visualize the structures via .