Energy Efficiency for 5G and Beyond 5G: Potential, Limitations, and Future Directions.

Energy efficiency constitutes a pivotal performance indicator for 5G New Radio (NR) networks and beyond, and achieving optimal efficiency necessitates the meticulous consideration of trade-offs against other performance parameters, including latency, throughput, connection densities, and reliability. Energy efficiency assumes it is of paramount importance for both User Equipment (UE) to achieve battery prologue and base stations to achieve savings in power and operation cost. This paper presents an exhaustive review of power-saving research conducted for 5G and beyond 5G networks in recent years, elucidating the advantages, disadvantages, and key characteristics of each technique.

Healthcare Workers' Vulnerability to SARS-CoV-2 in Western Romania: A Study on Incidence and Risk Factors for Non-Vaccination and Reinfection.

Purpose: The COVID-19 pandemic has severely impacted healthcare workers, a professional category at risk of infection in both hospital and community settings. The aim of the study was to compare morbidity among hospital staff and that in general population, as well as the factors predicting non-vaccination and reinfection.

Patients And Methods: The present study is a retrospective, cross-sectional study.

Right Radical Nephrectomy With Level IV Thrombus by Combined 3D Laparoscopic and Mini-thoracotomy Approach.

Objective: To report our step-by-step technique for 3D laparoscopic radical nephrectomy and thrombectomy for a right renal tumor with level IV venous thrombus. Worldwide experience in minimally-invasive approach for such complex cases is limited.

Materials And Methods: A 66-year-old male was incidentally diagnosed with a right renal tumor.

An EEG analysis framework through AI and sonification on low power IoT edge devices.

This study explores the feasibility of implementation of an analysis framework of neonatal EEG, including ML, sonification and intuitive visualization, on a low power IoT edge device. Electroencephalography (EEG) analysis is a very important tool to detect brain disorders. Neonatal seizure detection is a known, challenging problem.

Automatic segmentation for neonatal phonocardiogram.

This work addresses the automatic segmentation of neonatal phonocardiogram (PCG) to be used in the artificial intelligence-assisted diagnosis of abnormal heart sounds. The proposed novel algorithm has a single free parameter - the maximum heart rate. The algorithm is compared with the baseline algorithm, which was developed for adult PCG segmentation.

Gaucher disease type 1: the first experience of enzyme replacement therapy in pediatric practice in Moldova - case report.

We report on a case of a little girl patient diagnosed with Gaucher disease (GD) type 1 in her early childhood and our first experience with enzyme replacement therapy (ERT). She was first diagnosed accidentally with enlarged spleen during a pediatric examination when she was three years old, but the family ignored investigations; she was hospitalized for diagnosis at six years old. The GD was confirmed based on: clinical manifestations of left abdominal flank pain, multiple bruising, general weakness, bone pain, low appetite, failure to thrive <5 percentile, minor hepato- and severe splenomegaly, enlarged submaxillary lymph nodes, associated by anemia with normal platelets; low activity of beta-Glucosidase, two found mutations in gene, Gaucher cells in bone marrow.

SARS-CoV-2 Infection and Emery-Dreifuss Syndrome in a Young Patient with a Family History of Dilated Cardiomyopathy.

Emery-Dreifuss muscular dystrophy (EDMD) is a rare genetic disease that affects the musculoskeletal system, including the heart, causing rhythm disorders and cardiomyopathy, sometimes requiring an implantable cardioverter-defibrillator (ICD) or heart transplantation due to severe heart damage. The case described herein concerns a 16-year-old girl, with grade II obesity, without other known pathological antecedents or cardiac pathology diagnosis given an annual history of cardiological investigations. She was admitted to the Infectious Diseases Department with SARS-CoV-2 virus infection.

Trichinellosis in hospitalized patients from Western Romania: A retrospective study.

Trichinellosis is a public health problem and an economic issue in porcine animal production and food safety. The aim of this retrospective study was to evaluate the current epidemiologic, laboratory, clinical and therapeutic aspects of human trichinellosis in Western Romania. We retrospectively investigated the medical records of patients hospitalized in infectious diseases hospitals from three counties in Western Romania, between January 1st, 2012 and December 31st, 2016.

Prospects of COVID-19 Vaccination in Romania: Challenges and Potential Solutions.

The rapid advancement in vaccine development represents a critical milestone that will help humanity tackle the COVID-19 pandemic. However, the success of these efforts is not guaranteed, as it relies on the outcomes of national and international vaccination strategies. In this article, we highlight some of the challenges that Romania will face and propose a set of solutions to overcome them.

A Framework for AI-Assisted Detection of Patent Ductus Arteriosus from Neonatal Phonocardiogram.

The current diagnosis of Congenital Heart Disease (CHD) in neonates relies on echocardiography. Its limited availability requires alternative screening procedures to prioritise newborns awaiting ultrasound. The routine screening for CHD is performed using a multidimensional clinical examination including (but not limited to) auscultation and pulse oximetry.

Eosinophilic Esophagitis: Diagnosis and Current Management.

Eosinophilic esophagitis (EoE) is an eosinophil-rich, Th2 antigen-mediated disease of increasing worldwide prevalence. Originally considered common in children and young adults, it can be seen at any age, with the highest prevalence between 30 and 40 years. Symptoms reflect esophageal dysfunction, and typical endoscopic pictures consist of rings, furrows, exudates and edema.

Application of the susceptible-infected-recovered deterministic model in a GII.P17 emergent norovirus strain outbreak in Romania in 2015.

Purpose: This study shows the epidemiological profile of the first gastroenteritis outbreak of GII.P17 in the Romanian territory. An outbreak with such large amplitude in a European territory was previously undocumented.

SmarTEG: An Autonomous Wireless Sensor Node for High Accuracy Accelerometer-Based Monitoring.

We report on a self-sustainable, wireless accelerometer-based system for wear detection in a band saw blade. Due to the combination of low power hardware design, thermal energy harvesting with a small thermoelectric generator (TEG), an ultra-low power wake-up radio, power management and the low complexity algorithm implemented, our solution works perpetually while also achieving high accuracy. The onboard algorithm processes sensor data, extracts features, performs the classification needed for the blade's wear detection, and sends the report wirelessly.

Analysis of a Low-Cost EEG Monitoring System and Dry Electrodes toward Clinical Use in the Neonatal ICU.

Electroencephalography (EEG) is an important clinical tool for monitoring neurological health. However, the required equipment, expertise, and patient preparation inhibits its use outside of tertiary care. Non-experts struggle to obtain high-quality EEG due to its low amplitude and artefact susceptibility.

Neonatal EEG Interpretation and Decision Support Framework for Mobile Platforms.

This paper proposes and implements an intuitive and pervasive solution for neonatal EEG monitoring assisted by sonification and deep learning AI that provides information about neonatal brain health to all neonatal healthcare professionals, particularly those without EEG interpretation expertise. The system aims to increase the demographic of clinicians capable of diagnosing abnormalities in neonatal EEG. The proposed system uses a low-cost and low-power EEG acquisition system.

System Level Framework for Assessing the Accuracy of Neonatal EEG Acquisition.

Significant research has been conducted in recent years to design low-cost alternatives to the current EEG monitoring systems used in healthcare facilities. Testing such systems on a vulnerable population such as newborns is complicated due to ethical and regulatory considerations that slow down the technical development. This paper presents and validates a method for quantifying the accuracy of neonatal EEG acquisition systems and electrode technologies via clinical data simulations that do not require neonatal participants.

Portable neonatal EEG monitoring and sonification on an Android device.

Clinical evaluation of electroencephalogram (EEG) is important for understanding and monitoring the electrical activity present in the brain. In collusion with engineering advances, the movement towards portable, rapid and low-cost EEG monitoring is growing. This will allow a greater availability of monitoring technologies for assessing brain function and health in disadvantaged communities.

Co-Optimization Free Lunches: Tractability of Optimal Black-Box Algorithms for Maximizing Expected Utility.

Co-optimization problems often involve settings in which the quality ( utility) of a potential solution is dependent on the scenario within which it is evaluated, and many such scenarios exist. Maximizing expected utility is simply the goal of finding the potential solution whose expected utility value over all possible scenarios is best. Such problems are often approached using coevolutionary algorithms.

Using the Expression of Damage-Associated Molecular Pattern (DAMP) for the Evaluation and Monitoring of the Critically Ill Polytrauma Patient.

Background: The critically ill polytrauma patient continues to be one of the most complex cases in the intensive care unit (ICU). The molecular damage is closely connected with the severe, specific pathophysiological imbalances, such as severe inflammation, infections, hypermetabolism, oxidative stress, and ultimately multiple organ dysfunction syndrome (MODS).

Methods: The literature available on PubMed and Scopus was analysed for this study.

An Energy Aware Adaptive Sampling Algorithm for Energy Harvesting WSN with Energy Hungry Sensors.

Wireless sensor nodes have a limited power budget, though they are often expected to be functional in the field once deployed for extended periods of time. Therefore, minimization of energy consumption and energy harvesting technology in Wireless Sensor Networks (WSN) are key tools for maximizing network lifetime, and achieving self-sustainability. This paper proposes an energy aware Adaptive Sampling Algorithm (ASA) for WSN with power hungry sensors and harvesting capabilities, an energy management technique that can be implemented on any WSN platform with enough processing power to execute the proposed algorithm.

Molecular identification of emergent GII.P17-GII.17 norovirus genotype, Romania, 2015.

The novel GII.P17-GII.17 norovirus genotype has been reported as cause of gastroenteritis outbreaks in China and Japan since the winter season 2014/15, replacing the pandemic strain GII.

Rare earth activated yttrium aluminate phosphors with modulated luminescence.

Yttrium aluminate (Y3 A5 O12 ) was doped with different rare earth ions (i.e. Gd(3+) , Ce(3+) , Eu(3+) and/or Tb(3+) ) in order to obtain phosphors (YAG:RE) with general formula,Y3-x-a Gdx REa Al5 O12 (x = 0; 1.

Clostridium difficile in western Romania: unfavourable outcome predictors in a hospital for infectious diseases.

Background: The recent emergence of Clostridium difficile infections has included this condition among top nosocomial infections, due to its incidence, complications and important fatality, as well as to significant economic costs.

Methods: A prospective surveillance study of Clostridium difficile enterocolitis cases was performed in "Victor Babeş" Infectious Diseases Hospital in Timişoara (Romania) between 01.01.