Relationship between Sexual Fantasy, Sexual Communication, Personality Traits and Sexual Satisfaction in Married Individuals

The study aimed to understand the relationship between sexual fantasy, sexual communication, personality traits and sexual satisfaction in married individuals. Sexual fantasy as a variable has seldom been studied in the Indian context. The importance of sexual fantasies has been noted by therapists and researchers. Studying various aspects of sexual functioning in married life including, sexual communication and sexual satisfaction and personality traits would be beneficial. A cross sectional design with a total sample of 100 married individuals was considered. Tools were administered as online forms. Parametric and Non-parametric tests were used to find the correlation between Sexual fantasy and sexual satisfaction, sexual communication and sexual satisfaction and personality traits and sexual satisfaction. Results indicated that sexual fantasy and sexual satisfaction have a negative correlation, sexual communication and sexual satisfaction have a positive correlation and personality traits and sexual satisfaction also have a positive correlation. This study can be used to develop modules that might aid in marital and sex therapy. It may be useful in identifying any difficulties or issues which may help in providing appropriate timely interventio

Fog Computing: Issues, Challenges and Future Directions

In Cloud Computing, all the processing of the data collected by the node is done in the central server. This involves a lot of time as data has to be transferred from the node to central server before the processing of data can be done in the server. Also it is not practical to stream terabytes of data from the node to the cloud and back. To overcome these disadvantages, an extension of cloud computing, known as fog computing, is introduced. In this, the processing of data is done completely in the node if the data does not require higher computing power and is done partially if the data requires high computing power, after which the data is transferred to the central server for the remaining computations. This greatly reduces the time involved in the process and is more efficient as the central server is not overloaded. Fog is quite useful in geographically dispersed areas where connectivity can be irregular. The ideal use case requires intelligence near the edge where ultra-low latency is critical, and is promised by fog computing. The concepts of cloud computing and fog computing will be explored and their features will be contrasted to understand which is more efficient and better suited for real-time application

A study of association between early menarche and anxiety in undergraduate students [version 2; peer review: 2 approved]

Background Anxiety has been reported to be one of the most common epidemics in recent years. The present study focused on understanding the association between early menarche and the prevalence of anxiety and anxiety symptoms among adult undergraduate students. Methods This was an observational, case-control study. The sample included 146 young female adults aged more than or equal to 18 years pursuing the Bachelor of Medicine and Bachelor of Surgery (MBBS) and Bachelor of Dental Sciences (BDS). Using an online questionnaire, participants were asked to recall and enter the age at which they attained menarche. We used the Generalized Anxiety Disorder 7- Item Questionnaire (GAD-7) to measure the severity of their present anxiety symptoms. Results The results showed a significant increase in anxiety symptoms in participants who had early menarche compared to those who did not have early menarche. The mean score on the GAD-7 Questionnaire for the cases was 9.93 and the control group was 6.89. The GAD-7 scores among the cases group were significantly higher in the GAD-7 scores than in the control group. Conclusions This study concluded that early menarche is associated with higher anxiety levels in young adults

A Novel Role for Aquaporin-5 in Enhancing Microtubule Organization and Stability

Aquaporin-5 (AQP5) is a water-specific channel located on the apical surface of airway epithelial cells. In addition to regulating transcellular water permeability, AQP5 can regulate paracellular permeability, though the mechanisms by which this occurs have not been determined. Microtubules also regulate paracellular permeability. Here, we report that AQP5 promotes microtubule assembly and helps maintain the assembled microtubule steady state levels with slower turnover dynamics in cells. Specifically, reduced levels of AQP5 correlated with lower levels of assembled microtubules and decreased paracellular permeability. In contrast, overexpression of AQP5 increased assembly of microtubules, with evidence of increased MT stability, and promoted the formation of long straight microtubules in the apical domain of the epithelial cells. These findings indicate that AQP5-mediated regulation of microtubule dynamics modulates airway epithelial barrier properties and epithelial function

Metabarcoding of the kombucha microbial community grown in different microenvironments

Introducing of the DNA metabarcoding analysis of probiotic microbial communities allowed getting insight into their functioning and establishing a better control on safety and efficacy of the probiotic communities. In this work the kombucha poly-microbial probiotic community was analysed to study its flexibility under different growth conditions. Environmental DNA sequencing revealed a complex and flexible composition of the kombucha microbial culture (KMC) constituting more bacterial and fungal organisms in addition to those found by cultural method. The community comprised bacterial and yeast components including cultured and uncultivable microorganisms. Culturing the KMC under different conditions revealed the core part of the community which included acetobacteria of two genera Komagataeibacter (former Gluconacetobacter) and Gluconobacter, and representatives of several yeast genera among which Brettanomyces/Dekkera and Pichia (including former Issatchenkia) were dominant. Herbaspirillum spp. and Halomonas spp., which previously had not been described in KMC, were found to be minor but permanent members of the community. The community composition was dependent on the growth conditions. The bacterial component of KMC was relatively stable, but may include additional member—lactobacilli. The yeast species composition was significantly variable. High-throughput sequencing showed complexity and variability of KMC that may affect the quality of the probiotic drink. It was hypothesized that the kombucha core community might recruit some environmental bacteria, particularly lactobacilli, which potentially may contribute to the fermentative capacity of the probiotic drink. As many KMC-associated microorganisms cannot be cultured out of the community, a robust control for community composition should be provided by using DNA metabarcoding.National Academy of Sciences of Ukraine (N47/2013)http://www.amb-express.comhb201

AI is a viable alternative to high throughput screening: a 318-target study

: High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, high-quality X-ray crystal structures, or manual cherry-picking of compounds. We show that the molecules selected by the AtomNet® model are novel drug-like scaffolds rather than minor modifications to known bioactive compounds. Our empirical results suggest that computational methods can substantially replace HTS as the first step of small-molecule drug discovery