Profile, reasons for hospitalization and nursing diagnoses of refugee-native patients admitted to internal medicine clinic-an evaluation from nursing perspective.

Purpose: The study aims to evaluate the hospitalization diagnoses and nursing diagnoses of the refugee and local population hospitalized in internal medicine clinics, which are especially important in the early diagnosis, treatment, and rehabilitation of chronic diseases, and to emphasize their importance in nursing care.

Methods: The study was carried out in a descriptive retrospective design. The files of 3563 patients admitted to the internal medicine clinic of a training and research hospital in Türkiye in 2022 were evaluated.

Grant-Free NOMA: A Low-Complexity Power Control through User Clustering.

Non-orthogonal multiple access (NOMA) has emerged as a promising solution to support multiple devices on the same network resources, improving spectral efficiency and enabling massive connectivity required by ever-increasing Internet of Things devices. However, traditional NOMA schemes operate in a grant-based fashion and require channel-state information and power control, which hinders its implementation for massive machine-type communications. Accordingly, this paper proposes synchronous grant-free NOMA (GF-NOMA) frameworks that effectively integrate user equipment (UE) clustering and low-complexity power control to facilitate the power-reception disparity required by the power-domain NOMA.

Machine Learning-Based Unobtrusive Intake Gesture Detection via Wearable Inertial Sensors.

Dietary patterns can be the primary reason for many chronic diseases such as diabetes and obesity. State-of-the-art wearable sensor technologies can play a critical role in assisting patients in managing their eating habits by providing meaningful statistics on critical parameters such as the onset, duration, and frequency of eating. For an accurate yet fast food intake recognition, this work presents a novel Machine Learning (ML) based framework that shows promising results by leveraging optimized support vector machine (SVM) classifiers.

Pain evaluation in a sample of Turkish children with cerebral palsy and its association with dependency level, verbal abilities, and the quality of life of patients and sociodemographic status, depression, and quality of life of their caregivers.

Objectives: This study aims to evaluate pain in children with cerebral palsy (CP), to investigate its association with dependency level, verbal abilities, and the quality of life (QoL) of children and sociodemographic status, depression levels, and QoL of their caregivers.

Patients And Methods: Between February 2016 and April 2016, a total of 85 children (56 males, 29 females; mean age 7.1±2.

Energy Harvesting Hybrid Acoustic-Optical Underwater Wireless Sensor Networks Localization.

Underwater wireless technologies demand to transmit at higher data rate for ocean exploration. Currently, large coverage is achieved by acoustic sensor networks with low data rate, high cost, high latency, high power consumption, and negative impact on marine mammals. Meanwhile, optical communication for underwater networks has the advantage of the higher data rate albeit for limited communication distances.