The aim of this research is to determine the specifics of opiate addiction in women in our environment, so as to create a specific plan of action football sleds for turf in preventing and treatment opiate addiction in women based on the conducted description and results analysis.The sample consists of 32 examinees.Sociodempgraphic questionnaire and
Agent-based modeling of oxygen-responsive transcription factors in Escherichia coli.
In the presence of oxygen (O2) the model bacterium Escherichia coli is able to conserve energy by aerobic respiration.Two major terminal oxidases are involved in this process - Cyo has a relatively low affinity for O2 but j??kaapin raikastin is able to pump protons and hence is energetically efficient; Cyd has a high affinity for O2 but does not pu
Unilateral Silent Neonatal Testicular Torsion: A Case Report
Neonatal testicular torsion is a critical urological emergency that poses a unique diagnostic challenge.It needs a high index of suspicion in a neonate with vague symptoms.It is characterized by the axial rotation of spermatic cord structures, which results in interruption of blood supply to the testicle.The duration of symptoms and degree of twist
Short-Term Hydrological Drought Forecasting Based on Different Nature-Inspired Optimization Algorithms Hybridized With Artificial Neural Networks
Hydrological drought forecasting plays a substantial role in water resources management.Hydrological drought highly affects the water allocation and hydropower generation.In this research, short term hydrological drought forecasted based on the hybridized of novel nature-inspired jungle carbine bayonet optimization algorithms and Artificial Neural
iU-Net: a hybrid structured network with a novel feature fusion approach for medical image segmentation
Abstract In recent years, convolutional neural networks (CNNs) have made great achievements in the field of medical image segmentation, especially full convolutional neural sm-g986bzpdeud networks based on U-shaped structures and skip connections.However, limited by the inherent limitations of convolution, CNNs-based methods usually exhibit limitat