Notes

Environmentally friendly synthesis, composition feature and energy transfer of yellow-emitting (Y simply,Gd)Two Vodafone SO4 :Dy phosphors.
The multivariate analysis showed that a tumors size ≥5 cm (OR = 3.69, 95% CI 1.17-11.6), serosa and adjacent organs invasion (pT4a and pT4b) (OR = 3.78, 95% CI 1.31-10.86) and ≥16 metastatic lymph nodes (pN3b) (OR = 3.21, 95%CI1.06-9.7) were independent risk factors for the presence of TDs.

Larger tumors (tumor size ≥ 5cm), serosa and adjacent organs invasion (pT4 and pT4b), and ≥16 metastatic lymph nodes (pN3b) were independent risk factors for the presence of TDs.
Larger tumors (tumor size ≥ 5cm), serosa and adjacent organs invasion (pT4 and pT4b), and ≥16 metastatic lymph nodes (pN3b) were independent risk factors for the presence of TDs.
Dengue fever has been one of the most common mosquito-transmitted diseases in the world, affecting more than 128 countries in both tropical and subtropical regions. Bangladesh has been sufferring from dengue outbreaks almost annually since 2000, and in 2019, Bangladesh faced the worst outbreak of dengue to date. This study aimed to provide clinical and biochemical profiles of Bangladesh's dengue-infected patients.

This cross-sectional study was conducted from August through December 2019 in three tertiary private hospitals in Dhaka, Bangladesh. We collected information on demographic data, clinical characteristics, and laboratory profiles for 542 confirmed hospitalized acute dengue cases using a structured questionnaire.

The average age of the enrolled patients was 26.15 years, and about 50% of patients belonged to the age group of 20-40 years. The most frequent among the prevalent clinical symptoms were fever (93.1%), abdominal pain (29.5%), skin rash (25.3%), and diarrhea (19.7%). 316 patients had sommstantial diagnosis of dengue patients and facilitate early intervention.
In Jordan, research ethics have been subject to increasingly formal regulations and structuring. Recently the Ministry of Higher Education and Research Published the National Research Code of Ethics. However, little is known about the awareness of pharmacology researchers of this code and the extent of its applicability to their research.

Purposeful sampling through institutions' websites was used to identify staff members with excellent profiles from 20 Faculties of Pharmacy in Jordan. After obtaining the required approvals, in-depth interviews were conducted, recorded, transcribed, and analyzed using NVivo 11 Software. The interviews followed a previously prepared and validated interview guide that covered various aspects of education, research, and training.

Eighteen members of staff agreed to take part in the study. Qualitative analysis revealed three main themes each concerning respondents' awareness of the National Code of Research Ethics in Jordan. The emerging themes were the lack of awareness regarding the code of ethics, the need for clear guidelines for pharmacology research in Jordan, and the need for further workshops and training courses for pharmacology researchers.

This study highlights a lack of awareness regarding the presence of the National Research Ethics Code among pharmacology researchers in Jordan. This might have negative implications on medical research. It was thought that the code of ethics should be incorporated in postgraduate pharmacy education, training courses for pharmacy researchers, and workshops for pharmacy academic staff.
This study highlights a lack of awareness regarding the presence of the National Research Ethics Code among pharmacology researchers in Jordan. This might have negative implications on medical research. It was thought that the code of ethics should be incorporated in postgraduate pharmacy education, training courses for pharmacy researchers, and workshops for pharmacy academic staff.Big data analytics and artificial intelligence are revolutionizing the global healthcare industry. As the world accumulates unfathomable volumes of data and health technology grows more and more critical to the advancement of medicine, policymakers and regulators are faced with tough challenges around data security and data privacy. This paper reviews existing regulatory frameworks for artificial intelligence-based medical devices and health data privacy in Bangladesh. The study is legal research employing a comparative approach where data is collected from primary and secondary legal materials and filtered based on policies relating to medical data privacy and medical device regulation of Bangladesh. Such policies are then compared with benchmark policies of the European Union and the USA to test the adequacy of the present regulatory framework of Bangladesh and identify the gaps in the current regulation. The study highlights the gaps in policy and regulation in Bangladesh that are hampering the widespread adoption of big data analytics and artificial intelligence in the industry. Despite the vast benefits that big data would bring to Bangladesh's healthcare industry, it lacks the proper data governance and legal framework necessary to gain consumer trust and move forward. Policymakers and regulators must work collaboratively with clinicians, patients and industry to adopt a new regulatory framework that harnesses the potential of big data but ensures adequate privacy and security of personal data. The article opens valuable insight to regulators, academicians, researchers and legal practitioners regarding the present regulatory loopholes in Bangladesh involving exploiting the promise of big data in the medical field. The study concludes with the recommendation for future research into the area of privacy as it relates to artificial intelligence-based medical devices should consult the patients' perspective by employing quantitative analysis research methodology.
The parasite,
is responsible for lethal visceral leishmaniasis (VL) in humans. There is a need to investigate novel medicines as antileishmanial drugs, as medication currently introduced for leishmaniasis may cause resistance, serious side-effects, chemical instability and high cost. Therefore, this computational study was designed to explore potential phytochemical inhibitors against
squalene synthase (LdSQS) enzyme, a drug target.

Multiple sequence alignment was carried to detect conserved regions across squalene synthases from different
spp. Selleckchem Infigratinib Their evolutionary relationships were studied by generating phylogenetic tree. Homology modeling method was used to build a three dimensional model of the protein. The validated model was explored by docking simulation with the phytochemicals of interest to identify the most potent inhibitors. Two reported inhibitors were used as references in the virtual screening. The top hit compounds (binding energy less than -9 kcal/mol) were further subjected to intermolecular interaction analysis, pharmacophore modeling, pharmacokinetic and toxicity prediction.
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