Diagnosis and classification of Parkinson's disease using ensemble learning and 1D-PDCovNN.

In this paper, we proposed a novel approach to diagnose and classify Parkinson's Disease (PD) using ensemble learning and 1D-PDCovNN, a novel deep learning technique. PD is a neurodegenerative disorder; early detection and correct classification are essential for better disease management. The primary aim of this study is to develop a robust approach to diagnosing and classifying PD using EEG signals.

Recent progress in food processing applications of air impingement technology: A review.

Air impingement method has been widely used in a variety of industrial applications, such as textile and paper drying, turbine cooling, and glass quenching, because it is an efficient technology with high heat and mass transfer rates. This technology has received increasing interest in the field of food processing over the last two decades, such as drying, baking, blanching, freezing, and thawing. In a food processing equipment using air impingement, jets of high-velocity air (with speeds of 10-50 m/s) are directed at a food product.

A Novel Cuffless Blood Pressure Prediction: Uncovering New Features and New Hybrid ML Models.

This paper investigates new feature extraction and regression methods for predicting cuffless blood pressure from PPG signals. Cuffless blood pressure is a technology that measures blood pressure without needing a cuff. This technology can be used in various medical applications, including home health monitoring, clinical uses, and portable devices.

A Novel Method Facilitating the Simple and Low-Cost Preparation of Human Osteochondral Slice Explants for Large-Scale Native Tissue Analysis.

For in vitro modeling of human joints, osteochondral explants represent an acceptable compromise between conventional cell culture and animal models. However, the scarcity of native human joint tissue poses a challenge for experiments requiring high numbers of samples and makes the method rather unsuitable for toxicity analyses and dosing studies. To scale their application, we developed a novel method that allows the preparation of up to 100 explant cultures from a single human sample with a simple setup.

Mesenteric Cyst in 22 Cases.

Background: The aim of this study is to retrospectively and multi-centerly examine the clinicopathological features of patients who were operated with the diagnosis of mesenteric cyst, which is a rare cause of intra-abdominal mass in the last 9 years, in the light of the literature.

Methods: The patients were operated due to mesenteric cysts in the general surgery clinics of two Training and Research Hospital between 2010 and 2019; age, gender, preoperative clinical findings, computed tomography (CT) findings, localization of the mass, surgical procedure, morbidity, histopathological results, and follow-up period status were analyzed and reported electronically.

Results: The patients generally applied with the complaints of abdominal pain, palpable abdominal mass, and abdominal distention.