In several advanced fields like control engineering, computer science, fuzzy automata, finite state machine, and error correcting codes, the use of fuzzified algebraic structures especially ordered semigroups plays a central role. In this paper, we introduced a new and advanced generalization of fuzzy generalized bi-ideals of ordered semigroups. These new concepts are supported by suitable examples. These new notions are the generalizations of ordinary fuzzy generalized bi-ideals of ordered semigroups. Several fundamental theorems of ordered semigroups are investigated by the properties of these newly defined fuzzy generalized bi-ideals. Further, using level sets, ordinary fuzzy generalized bi-ideals are linked with these newly defined ideals which is the most significant part of this paper.
Despite the burgeoning interest among academics in investigating the factors contributing to the high business failure rate among SMEs (small and medium-sized enterprises), the systematic synthesis of the literature on bankruptcy in SMEs is restricted. This article aims to significantly advance the understanding of the causes and repercussions of bankruptcy in SMEs and the preventative actions that may be taken to avoid it. This review assesses 282 articles from 175 outlets employing quantitative and statistics-based bibliometric tools. This bibliometric assessment helped delineate the citation and publication trends and the top contributors to the domain. The underlying thematic clusters of research on bankruptcy in SMEs were also identified, deciphered and elaborated, along with charting the future research vistas through the lens of theory, context, and methods framework. The authors believe this bibliometric variant of systematic literature review makes a significant contribution to bankruptcy and SME research by highlighting the development of the literature and some of the most active research fronts in the domain by offering insights that were not clasped thoroughly or assessed by prior literature assessments.
AIMS: In flu pandemics, pharmacy students' knowledge, attitudes, and practices are critical to save patients life. The objective of study was to determine the knowledge of and attitude toward the pandemic influenza among the pharmacy students of Karachi, Pakistan.
SETTINGS AND DESIGNS: The cross-sectional study was conducted from September to December 2014 by adopting a prevalidated questionnaire distributed to senior pharmacy students (final year) in seven private and public sector universities of Karachi.
MATERIALS AND METHODS: A total of 443 pharmacy students responded the survey. Data regarding sociodemographic characteristics of the students, perceptions, level of knowledge and attitudes toward influenza, and prophylactic measures were collected.
STATISTICAL ANALYSIS: To compute the correlation between different variables, data were analyzed using Pearson's Chi-square statistic method. P < 0.05 was considered statistical significance for all analysis.
RESULTS: Influenza was identified as a viral disease (n = 423; 95.48%) and 282 (71.2%) students correctly identified it as disease affecting humans and pigs. Textbooks reported as most common source of knowledge (n = 282; 64%). Most common symptoms identified were fever (81.94%), sore throat (64.1%), and nonproductive cough (43.34%). The most common preventive measures were covering nose and mouth (268; 60.5%) and wearing protective coverings (254; 57.3%). Only half of the students correctly reported about the route of administration (180; 40.6%) and strains in vaccine (186; 41.98%). The best time for administration of such vaccine was known by only 156 pharmacy students (35.34%). The majority of the students (82.6%) had no idea about the manifestation of influenza pandemic. Knowledge regarding influenza differed according to gender and institutions differing in their affiliation with tertiary care hospitals.
CONCLUSION: It was observed that knowledge about disease progression, transmission, vaccination, and treatment in pharmacy students, especially those who are not getting clinical training in tertiary care hospitals was limited. There is an urgent need to develop awareness programs to increase knowledge of influenza among clinical pharmacists as they are more susceptible to infections and community as a whole.
In the presented work, a new series of three different 4-((3,5-dichloro-2-[(2/4-halobenzyl)oxy]phenyl)sulfonyl)morpholines was synthesized and the structure of these compounds were corroborated by 1 H-NMR & 13 C-NMR studies. The in vitro results established all the three compounds as potent tyrosinase inhibitors relative to the standard. The Kinetics mechanism plots established that compound 8 inhibited the enzyme non-competitively. The inhibition constants Ki calculated from Dixon plots for this compound was 0.0025 μM. Additionally, computational techniques were used to explore electronic structures of synthesized compounds. Fully optimized geometries were further docked with tyrosinase enzyme for inhibition studies. Reasonably good binding/interaction energies and intermolecular interactions were obtained. Finally, drug likeness was also predicted using the rule of five (RO5) and Chemical absorption, distribution, metabolism, excretion, and toxicity (ADMET) characteristics. It is anticipated that current experimental and computational investigations will evoke the scientific interest of the research community for the above-entitled compounds.
By using a convergent methodology, a unique series of N-arylated 4-yl-benzamides containing a bi-heterocyclic thiazole-triazole core was synthesized and the structures of these hybrid molecules, 9a-k, were corroborated through spectral analyses. The in vitro studies of these multi-functional molecules demonstrated their potent mushroom tyrosinase inhibition relative to the standard used. The kinetics mechanism was exposed by lineweaver-burk plots which revealed that, 9c, inhibited mushroom tyrosinase non-competitively by forming an enzyme-inhibitor complex. The inhibition constant Ki calculated from Dixon plots for this compound was 0.016 μM. The computational study was also consistent with the experimental results and these molecules disclosed good results of all scoring functions and interactions, which suggested a good binding to mushroom tyrosinase. So, it was predicted from the inferred results that these molecules might be considered as promising medicinal scaffolds for the diseases associated with the over-expression of this enzyme.