Exactly what is the optimum luteal help in aided the reproductive system technological innovation?

Author : Sigmon Mueller | Published On : 21 Feb 2025

efulness to fight COVID-19.
Using health chatbots to combat COVID-19 is a practice still in its infancy. We believe that our work will help researchers in this domain gain better understanding of this novel technology's design and applications, which are needed for continuous improvement in the health chatbots' functionalities and their usefulness to fight COVID-19.
Information and communication technologies (ICT) are widely used in a health care as a result of pharmaceutical informatics and technology developments. There is a huge potential for pharmaceutical practice of technologies utilization in a different practice settings especial community pharmacy and patient counseling.

To evaluate Bosnia and Herzegovina (BH) pharmacists` knowledge and attitudes towards informational and communication technologies and extend of its utilization.

Online survey conducted among pharmacists from different practice settings.

Pharmacists in BH are familiar and well known regarding importance of informational technologies. 93% are using special pharmaceutical information systems, and majority use technologies and software for prescription processing (47%), calculations (24%) communication (22%) and 9% for Internet search. 90% of pharmacists have profiles on social media mainly Facebook, followed by Instagram and LinekdIn mainly used for networking and communication with peers bchnical so future pharmacists can contribute to improvements in social media medicines-related information, learn from consumers' online activities, and design new ways of delivering care to communities and individuals.
Enormous number of medical journals published around the globe requires standardization of editing practice.

The aim of this article was to enlist main principles of editing biomedical scientific journals adopted at annual meeting of Academy of Medical Sciences of Bosnia & Herzegovina (AMSB&H).

The evidence for writing this Guideline was systematically searched for during September 2020 in the PUBMED and GOOGLE SCHOLAR databases. The inclusion criteria were original studies, systematic reviews, invited expert opinions, guidelines and editorials. The exclusion criteria were narrative reviews and uninvited opinion articles. click here The retrieved evidence was analyzed by members of the AMSB&H, then discussed at 2020 annual meeting of the AMSB&H and adopted by nominal group technique.

In total 14 recommendations were made, based on A to C class of evidence. The editors should educate potential authors and instruct them how to structure their manuscript, how to write every segment of the manuscriptdical journals' quality.This study examined early adolescent romantic "churning," defined here as having a large number of boyfriends/girlfriends by age 13, as a problematic marker likely to predict hostility, abuse, and avoidance during conflict in later relationships. A sample of 184 adolescents was followed through age 24 to assess predictions of hostility, abuse, and avoidance during conflict from early romantic churning. Controlling for gender and family income, romantic churning at age 13 predicted relative decreases in peer preference and relative increases in conflict and betrayal in close friendships from ages 13-16, as well as higher observable hostility and self and partner-reported abuse in romantic relationships by age 18 and greater avoidance during conflict with romantic partners by age 24. Findings remained after accounting for attachment security, social competence, and friendship quality in early adolescence, suggesting that early romantic churning may uniquely predict a problematic developmental pathway.Medical imaging has become an increasingly important tool in screening, diagnosis, prognosis, and treatment of various diseases given its information visualization and quantitative assessment. The aim of this article is to develop a Bayesian scalar-on-image regression model to integrate high-dimensional imaging data and clinical data to predict cognitive, behavioral, or emotional outcomes, while allowing for nonignorable missing outcomes. Such a nonignorable nonresponse consideration is motivated by examining the association between baseline characteristics and cognitive abilities for 802 Alzheimer patients enrolled in the Alzheimer's Disease Neuroimaging Initiative 1 (ADNI1), for which data are partially missing. Ignoring such missing data may distort the accuracy of statistical inference and provoke misleading results. To address this issue, we propose an imaging exponential tilting model to delineate the data missing mechanism and incorporate an instrumental variable to facilitate model identifiability followed by a Bayesian framework with Markov chain Monte Carlo algorithms to conduct statistical inference. This approach is validated in simulation studies where both the finite sample performance and asymptotic properties are evaluated and compared with the model with fully observed data and that with a misspecified ignorable missing mechanism. Our proposed methods are finally carried out on the ADNI1 dataset, which turns out to capture both of those clinical risk factors and imaging regions consistent with the existing literature that exhibits clinical significance. Supplementary materials for this article, including a standardized description of the materials available for reproducing the work, are available as an online supplement.Researchers have developed a characteristic curve procedure to estimate the parameter scale transformation coefficients in test equating under the nominal response model. In the study, the delta method was applied to derive the standard error expressions for computing the standard errors for the estimates of the parameter scale transformation coefficients. This brief report presents the results of a simulation study that examined the accuracy of the derived formulas and compared the performance of this analytical method with that of the multiple imputation method. The results indicated that the standard errors produced by the delta method were very close to the criterion standard errors as well as those yielded by the multiple imputation method under all the simulation conditions.