Importance of Sex Differences in Impulse Control and Addictions

Background Nursing students are expected to deliver holistic care in their upcoming career. Developing spirituality during nursing training is poorly understood. Objectives The current study aimed to explore the process of developing spirituality among Iranian nursing undergraduates. Patients and Methods The study employed Grounded theory approach and purposive sampling with maximum variation to select the participants among undergraduate nursing students in their fourth-year of study in the nursing school of Tehran University of Medical Sciences. Data were gathered through semi structured interviews with nineteen nursing students and one faculty member (n = 20). Strauss and Corbin approach was selected for data analysis. Results Data analysis revealed that developing spirituality during nursing education is an intuitive development including three stages: early frustration, intuitive development through hardship and seeking meaning and fulfilment. This process is influenced by educational/caring environment as well as role models. Conclusions Upbringing capable nurses to deliver spiritual care require supportive environment and influential role models to encourage students’ spiritual development. Developing spiritually may end in delivering spiritual care and provide nursing students with inner strength for better confrontation with serious situations common in their upcoming career

Prediction model for coronary artery disease using neural networks and feature selection based on classification and regression tree

Background and aims: Risk of implementing invasive diagnostic procedures for coronary artery disease (CAD) such as angiography is considerable. On the other hand, Successful experience has been achieved in medical data mining approaches. Therefore this study has been done to produce a model based on data mining techniques of neural networks that can predict coronary artery disease. Methods: In this descriptive- analytical study, the data set includes nine risk factors of 13228 participants who were undergone angiography at Tehran Heart Center. (4059 participants were not suffering from CAD but 9169 were suffering from CAD). Producing model for predicting coronary artery disease was done based on multilayer perceptron neural networks and variable selection based on classification and regression tree (CART) using of Statistica software. For comparison and selection of best model, the ROC curve analysis was used. Results: After seven-time modeling and comparing the generated models, the final model consists of all existing risk factors obtained with the area under ROC curve of 0.754, accuracy of 74.19%, sensitivity of 92.41% and specificity of 33.25% .Also, variable selection results in producing a model consists of four risk factors with area under ROC curve of 0.737, accuracy of 74.19%, sensitivity of 93.34% and specificity of 31.17% was produced. Conclusion: The obtained model is produced based on neural networks. The model is able to identify both high risk patients and acceptable number of healthy subjects. Also, utilizing the feature selection in this study ends up in production of a model which consists of only four risk factors as: age, sex, diabetes and high blood pressure

A novel MapReduce Lift association rule mining algorithm (MRLAR) for Big Data

Big Data mining is an analytic process used to dis-cover the hidden knowledge and patterns from a massive, com-plex, and multi-dimensional dataset. Single-processor's memory and CPU resources are very limited, which makes the algorithm performance ineffective. Recently, there has been renewed inter-est in using association rule mining (ARM) in Big Data to uncov-er relationships between what seems to be unrelated. However, the traditional discovery ARM techniques are unable to handle this huge amount of data. Therefore, there is a vital need to scal-able and parallel strategies for ARM based on Big Data ap-proaches. This paper develops a novel MapReduce framework for an association rule algorithm based on Lift interestingness measurement (MRLAR) which can handle massive datasets with a large number of nodes. The experimental result shows the effi-ciency of the proposed algorithm to measure the correlations between itemsets through integrating the uses of MapReduce and LIM instead of depending on confidence.Web of Science7315715

An {\it ab initio} relativistic coupled-cluster theory of dipole and quadrupole polarizabilities: Applications to a few alkali atoms and alkaline earth ions

We present a general approach within the relativistic coupled-cluster theory framework to calculate exactly the first order wave functions due to any rank perturbation operators. Using this method, we calculate the static dipole and quadrupole polarizabilities in some alkali atoms and alkaline earth-metal ions. This may be a good test of the present theory for different rank and parity interaction operators. This shows a wide range of applications including precise calculations of both parity and CP violating amplitudes due to rank zero and rank one weak interaction Hamiltonians. We also give contributions from correlation effects and discuss them in terms of lower order many-body perturbation theory.Comment: Three tables and one figur

Preliminary noise assessment of aircraft with distributed electric propulsion

Electric and hybrid-electric propulsion technologies in aviation are becoming more attractive for aviation stakeholders not only due to the resulting reduction or elimination of the dependency on oil, whose availability and price are uncertain, but also because they are more reliable and efficient than traditional internal combustion engines. Moreover, combined with distributed electric propulsion (DEP), these technologies have shown potential in significantly reducing civil aircraft community noise impact and contribute towards delivering the strict mid-to-long-term environmental goals set by organisations worldwide, such as ACARE and NASA. This paper examines the noise impact of a concept tube and wing aircraft that falls in the A320 category and features various DEP systems using different power supply units (turboshaft engines or batteries) and number of electric propulsors. Meanwhile, considerations required for the transition from conventional to electric propulsion are discussed. Estimated Noise-Power-Distance (NPD) curves and noise exposure contour maps are also presented. It is concluded that indeed, the propulsors’ number is a key parameter for optimising the environmental performance of DEP aircraft and hence maximising the noise benefits. Also, it is shown that based on the entry into service year (2035) technology, totally electric aircraft tend to have a larger noise footprint than aircraft using hybrid electric propulsion systems

Increasing cleavage specificity and activity of restriction endonuclease KpnI

Restriction enzyme KpnI is a HNH superfamily endonuclease requiring divalent metal ions for DNA cleavage but not for binding. The active site of KpnI can accommodate metal ions of different atomic radii for DNA cleavage. Although Mg2+ ion higher than 500 μM mediates promiscuous activity, Ca2+ suppresses the promiscuity and induces high cleavage fidelity. Here, we report that a conservative mutation of the metal-coordinating residue D148 to Glu results in the elimination of the Ca2+-mediated cleavage but imparting high cleavage fidelity with Mg2+. High cleavage fidelity of the mutant D148E is achieved through better discrimination of the target site at the binding and cleavage steps. Biochemical experiments and molecular dynamics simulations suggest that the mutation inhibits Ca2+-mediated cleavage activity by altering the geometry of the Ca2+-bound HNH active site. Although the D148E mutant reduces the specific activity of the enzyme, we identified a suppressor mutation that increases the turnover rate to restore the specific activity of the high fidelity mutant to the wild-type level. Our results show that active site plasticity in coordinating different metal ions is related to KpnI promiscuous activity, and tinkering the metal ion coordination is a plausible way to reduce promiscuous activity of metalloenzymes

Chemical Composition of the Temporal Gland Secretion of an Asian Elephant (Elephas maximus)

The non-volatile chemical constituents of a temporal gland secretion of a male Asian elephant are reported for the first time, and they seem to be different, in part, from those of the African elephant