This article has no abstract.The first 100 words appear below: An outborn, 2 hours old male newborn was admitted at the neonatal intensive care unit due to delayed cry Handlebar Adaptor after birth and respiratory distress soon after birth.The baby was born at 39 weeks of gestation at another hospital to a 30 year old primi mother by lower uterine
OLTC-Induced False Data Injection Attack on Volt/VAR Optimization in Distribution Systems
This paper presents a new class of false data injection attacks (FDIAs) on volt/VAR optimization (VVO), which may result in abnormal voltage conditions along the radial medium voltage (MV) distribution feeder with an on-load tap changer Fondotinta Fluido (OLTC), capacitor banks (CBs), solar photovoltaic (PV) systems, and smart meters.In comparison
Data Science in the Research Domain Criteria Era: Relevance of Machine Learning to the Study of Stress Pathology, Recovery, and Resilience
Diverse environmental and biological systems interact to influence individual differences in response to environmental stress.Understanding the Cases nature of these complex relationships can enhance the development of methods to (1) identify risk, (2) classify individuals as healthy or ill, (3) understand mechanisms of change, and (4) develop effe
Effect of Baffle Dimensionless Size Factor on the Performance of Proton Exchange Membrane Fuel Cell
In this paper, Clothes Airers the model of a proton exchange membrane fuel cell (PEMFC) with single straight channel is established to investigate the effect of dimensionless size factor of baffles on PEMFC performance.The influence of dimensionless Shorts length and height of baffles is discussed.Results show that adding baffles could dramatically
Interpreting variational quantum models with active paths in parameterized quantum circuits
Variational quantum machine learning (VQML) models based on parameterized quantum circuits (PQC) have been expected to offer a potential quantum advantage for machine learning (ML) applications.However, comparison between VQML models and their classical counterparts is hard due to the lack of interpretability of VQML models.In this study, we introd