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Objective: To identify the trends of the top 100 cited articles on economic evaluation in preventive oral health programs. Methods: Top 100 papers involving economic evaluation or cost analysis of preventive oral health programs were selected by querying Scopus and Web of Science databases. Bibliometric analysis was performed using the Bibliometrix tool in R Studio. Performance analysis and science mapping were performed for these 100 articles. Performance analysis included publication-related metrics, citation-related metrics, and citation-publication-related metrics. Science mapping provided information on citation analysis, co-citation analysis, bibliographic coupling, co-word analysis, and co-authorship details. Results: The total citation number of the top 100 most cited articles ranged from 4 to 98, with publication dates spanning from 1978 to 2023. The majority of articles (33.70 %) originated from the USA, while Community Dentistry and Oral Epidemiology stood out as the journal with the highest number of articles published in the top 100 (16 out of 100). Griffin PM emerged as the most cited author, based on the frequency measurement of the number of papers. Program data economic evaluation was the most commonly reported study design, and fluoridation programs were the most frequent topic. The most reported type of economic analysis performed in the articles was cost-effectiveness analysis. Conclusion: The bibliometric analysis of the top 100 most-cited articles on economic evaluation of preventive oral health programs revealed the lacunae in the research literature on this topic. Therefore, preventive oral health programs should be economically evaluated to eliminate the disparity in resource allocation particularly in upper middle income and low-income countries.

The mounting tide of bovine mastitis by methicillin-resistant Staphylococcus aureus (MRSA) poses serious threat to efficacy of antibiotic treatment. Therefore, plant derived essential oils and their constituents are gaining great importance in the recent times as promising antimicrobial agents. Hence the present study was conducted to evaluate antibacterial activity of lemongrass oil (LGO) and its active principle, citral against methicillin and oxacillin resistant Staphylococcus aureus (MRSA) isolated from bovine mastitis cases. Among the 16 S. aureus organisms isolated, six isolates identified as MRSA by antibiogram against methicillin and oxacillin were selected for further study. The findings of the study indicated significant antimicrobial activity of LGO and citral as evident from their minimum inhibitory concentration (MIC) and diameter of zone of inhibition values.

As a result of the COVID-19 pandemic, anatomy education was forced to adopt online modes of delivery. Previous research on student views revealed areas of strong preference (asynchronous lectures) and strong dislike (virtual specimens) in online anatomy courses. The current study seeks to compare the views of a single cohort of students experiencing both online and in-person undergraduate introductory anatomy and physiology courses. This comparison can highlight what students consider beneficial to their education and can inform future hybrid course offerings. Q-methodology was used to assess the opinions of students. Students sorted 41 statements on anatomy education in a quasi-normally distributed grid based on their degree of agreement with the statements. The rankings underwent a by-person factor analysis which categorized students with shared perceptions into groups. Data were collected from 246 students in the primarily online fall semester and 191 students in the primarily in-person winter semester. Analysis revealed three distinct factors (groups) in the cohort. Factor one (n = 113 (fall), n = 93 (winter)), was satisfied overall with the course materials and delivery. Factor two (n = 52 (fall), n = 18 (winter)) had a deep dislike of online learning, and factor three (n = 37 (fall), n = 49 (winter)) had a strong preference for online learning. While many students were comfortable in both online and in-person learning environments, this was not the case for all learners. The strengths and weaknesses of each teaching modality suggest the opportunity to explore hybrid learning as an option for future course offerings and specifically highlight valuable aspects to incorporate from each environment.

Background: Dementia is a cognitive decline that leads to the progressive deterioration of an individual's ability to perform daily activities independently. As a result, a considerable amount of time and resources are spent on caretaking. Early detection of dementia can significantly reduce the effort and resources needed for caretaking. Aims: This research proposes an approach for assessing cognitive decline by analysing speech data, specifically focusing on speech relevance as a crucial indicator for memory recall. Methods & Procedures: This is a cross-sectional, online, self-administered. The proposed method used deep learning architecture based on transformers, with BERT (Bidirectional Encoder Representations from Transformers) and Sentence-Transformer to derive encoded representations of speech transcripts. These representations provide contextually descriptive information that is used to analyse the relevance of sentences in their respective contexts. The encoded information is then compared using cosine similarity metrics to measure the relevance of uttered sequences of sentences. The study uses the Pitt Corpus Dementia dataset for experimentation, which consists of speech data from individuals with and without dementia. The accuracy of the proposed multi-QA-MPNet (Multi-Query Maximum Inner Product Search Pretraining) model is compared with other pretrained transformer models of Sentence-Transformer. Outcomes & Results: The results show that the proposed approach outperforms the other models in capturing context level information, particularly semantic memory. Additionally, the study explores the suitability of different similarity measures to evaluate the relevance of uttered sequences of sentences. The experimentation reveals that cosine similarity is the most appropriate measure for this task. Conclusions & Implications: This finding has significant implications for the early warning signs of dementia, as it suggests that cosine similarity metrics can effectively capture the semantic relevance of spoken language. The persistent cognitive decline over time acts as one of the indicators for prevalence of dementia. Additionally early dementia could be recognised by analysis on other modalities like speech and brain images.

The chemical and pharmacological activity of the compound 1-benzylimidazole was analysed using vibrational, NMR and UV-Visible spectroscopic tools. The necessary data were obtained by recording FT-IR, FT-Raman, NMR and UV-Visible spectra. 1H and 13C NMR spectral chemical shifts were observed and investigated to understand the basis of the antiparasitic, antifungal and antimicrobial activities. The elaborate electronic excitational absorptions in which bathochromic shifts in the UV-Visible spectrum are linked to strong cardiotonic activity are noteworthy. The pharmacodynamic activity was related to the molecular polarization as analysed according to different analytical parameters. The molecular reactivity was studied according to the dislocation of charge levels in frontier molecular orbitals. NBO analysis was carried out to delineate the asymmetric charge interaction transitions among orbitals, which were correlated with the pharmacological behaviour of the compound. The enantiomer errors in the electronic structure have been analysed by simulating ECD and VCD spectra. Keywords: 1-Benzylimidazole, Pharmacological, FT-IR, FT-Raman, NMR, Cardiotonic activity, Enantiomer, ECD and VCD spectra