Visualization in Anatomical Sciences for Effective Teaching and Learning

Anatomy is one of the basic subjects of medical science. Medical students gain detailed knowledge of human body by dissecting cadavers. Hence, cadaveric dissection has become an essential tool in teaching and learning anatomy. In anatomy, visualization plays an important role in understanding the spatial orientation of structures. Due to technological advancement and a shortage of cadavers, there is a need to look for various complementary tools which can provide an adequate visualization of bodily structures. This issue was very well understood and reflected during the recent pandemic when cadaveric dissection was substituted by experimenting with various teaching tools. In this paper, we have tried to briefly describe the various options that can complement/supplement dissection and assist in self-directed learning

Online Learning Modules in Anatomical Sciences: Effective Sources for Continued Learning for Medical Undergraduates During the Unprecedent COVID-19 Pandemic

Introduction. During the COVID-19 pandemic-induced lockdown, the selection of simple and authentic online material among plethora of web content is difficult for both students and teachers. This forces students and teachers to explore various avenues of learning. The objective of this research was to evaluate free open-access anatomy e-learning resources in accordance with required standard learning outcomes for medical students. Methods. During February 2021, an extensive search for online modules for learning anatomy across six Massive Open Online Courses, including edX, Coursera, Udemy, Khan Academy, Canvas and FutureLearn, along with Google and YouTube was conducted. Courses or modules on e-learning platforms, YouTube channels, standalone videos, anatomy atlases, 3D models were considered as learning resources and evaluated. Online materials were classified as structured learning resources if they had a defined syllabus, time duration and instructional design. Resources lacking these characteristics were considered as unstructured ones. Results. Twenty structured learning courses were identified on the Udemy (6 courses), Coursera (3 courses), edX (2 courses), FutureLearn and Khan academy platforms. Learning resources available through Swayam Prabha were aligned with the defined syllabus and video lectures. The content hosted within Clinical Anatomy, Medvizz and Kenhub was eye-catching. Thirty-two YouTube channels offering standalone learning material were identified. Seven resource materials, other than YouTube channels, offered anatomy learning material in the form of charts and tables. Four websites noted to have 3D interactive learning content regarding gross anatomy. Conclusions. During the pandemic-induced lockdown, the list presented in the study may act as guide in selection of the simplest and best materials for those teaching and learning anatomy in medical undergraduate courses. However, in most cases, there is no alignment with standard learning outcomes as defined by medical education regulatory authorities

Optimizing webpage relevancy using page ranking and content based ranking.

Systems for web information mining can be isolated into a few classifications, depending on the type of target data and the purposes of the activity: Web structure mining; Web utilization mining; and Web Content Mining. This paper proposes another Web Content Mining system for page significance positioning, taking into account the page content investigation. The strategy, Page Content Rank (PCR), consolidates various heuristics that appear to be critical for breaking down the substance of Web pages. The page significance is resolved on the base of the significance of terms that the page contains. The significance of a term is determined concerning a given inquiry "q", and it depends on its measurable and linguistic elements. As a source set of pages for mining, we utilize an arrangement of pages retrieved by a web search tool to the question "q". PCR utilizes a neural system as its inward order structure. We depict a usage of the proposed strategy and an examination of its outcomes with the other existing characterization framework - page rank algorithm

Omicron and vaccine booster dose – an update

Mutations in coronavirus is not unheard off. The variant, Omicron B.1.1.529 has overall 50 mutations and is considered as a variant of concern. Though the new variant has shown changes throughout its genome, S gene changes predominate. Significant changes in the S encoding gene, S gene, influences not only the transmissibility properties of SARS-CoV-2 but also the efficacy of existing vaccines. Increased transmissibility and ability of this variant to evade host immune responses conferred either due to past infections or due to vaccination driving increase in number of infections. However, the severity of the infections is low in comparison to its predecessors. A meta-analysis of ten studies analyzing the effect of COVID-19 vaccine booster dose, it was found studies report 10-to-42-fold increase in omicron neutralization. COVID appropriate behaviors, if followed rigidly can bring a meaningful change in the viral spread and resultant health impacts

Renormalization group study of the Kondo problem at a junction of several Luttinger wires

We study a system consisting of a junction of N quantum wires, where the junction is characterized by a scalar S-matrix, and an impurity spin is coupled to the electrons close to the junction. The wires are modeled as weakly interacting Tomonaga-Luttinger liquids. We derive the renormalization group equations for the Kondo couplings of the spin to the electronic modes on different wires, and analyze the renormalization group flows and fixed points for different values of the initial Kondo couplings and of the junction S-matrix (such as the decoupled S-matrix and the Griffiths S-matrix). We generally find that the Kondo couplings flow towards large and antiferromagnetic values in one of two possible ways. For the Griffiths S-matrix, we study one of the strong coupling flows by a perturbative expansion in the inverse of the Kondo coupling; we find that at large distances, the system approaches the ferromagnetic fixed point of the decoupled S-matrix. For the decoupled S-matrix with antiferromagnetic Kondo couplings and weak inter-electron interactions, the flows are to one of two strong coupling fixed points in which all the channels are strongly coupled to each other through the impurity spin. But strong inter-electron interactions, with K_\rho < N/(N+2), stabilize a multi-channel fixed point in which the coupling between different channels goes to zero. We have also studied the temperature dependence of the conductance at the decoupled and Griffiths S-matrices.Comment: Revtex4, 16 pages including 6 figure

The genetic architecture of type 2 diabetes

The genetic architecture of common traits, including the number, frequency, and effect sizes of inherited variants that contribute to individual risk, has been long debated. Genome-wide association studies have identified scores of common variants associated with type 2 diabetes, but in aggregate, these explain only a fraction of heritability. To test the hypothesis that lower-frequency variants explain much of the remainder, the GoT2D and T2D-GENES consortia performed whole genome sequencing in 2,657 Europeans with and without diabetes, and exome sequencing in a total of 12,940 subjects from five ancestral groups. To increase statistical power, we expanded sample size via genotyping and imputation in a further 111,548 subjects. Variants associated with type 2 diabetes after sequencing were overwhelmingly common and most fell within regions previously identified by genome-wide association studies. Comprehensive enumeration of sequence variation is necessary to identify functional alleles that provide important clues to disease pathophysiology, but large-scale sequencing does not support a major role for lower-frequency variants in predisposition to type 2 diabetes

Sequence data and association statistics from 12,940 type 2 diabetes cases and controls

To investigate the genetic basis of type 2 diabetes (T2D) to high resolution, the GoT2D and T2D-GENES consortia catalogued variation from whole-genome sequencing of 2,657 European individuals and exome sequencing of 12,940 individuals of multiple ancestries. Over 27M SNPs, indels, and structural variants were identified, including 99% of low-frequency (minor allele frequency [MAF] 0.1–5%) non-coding variants in the whole-genome sequenced individuals and 99.7% of low-frequency coding variants in the whole-exome sequenced individuals. Each variant was tested for association with T2D in the sequenced individuals, and, to increase power, most were tested in larger numbers of individuals (\u3e80% of low-frequency coding variants in ~82 K Europeans via the exome chip, and ~90% of low-frequency non-coding variants in ~44 K Europeans via genotype imputation). The variants, genotypes, and association statistics from these analyses provide the largest reference to date of human genetic information relevant to T2D, for use in activities such as T2D-focused genotype imputation, functional characterization of variants or genes, and other novel analyses to detect associations between sequence variation and T2D

Cocktail-party listening and cognitive abilities show strong pleiotropy

Introduction: The cocktail-party problem refers to the difficulty listeners face when trying to attend to relevant sounds that are mixed with irrelevant ones. Previous studies have shown that solving these problems relies on perceptual as well as cognitive processes. Previously, we showed that speech-reception thresholds (SRTs) on a cocktail-party listening task were influenced by genetic factors. Here, we estimated the degree to which these genetic factors overlapped with those influencing cognitive abilities. Methods: We measured SRTs and hearing thresholds (HTs) in 493 listeners, who ranged in age from 18 to 91 years old. The same individuals completed a cognitive test battery comprising 18 measures of various cognitive domains. Individuals belonged to large extended pedigrees, which allowed us to use variance component models to estimate the narrow-sense heritability of each trait, followed by phenotypic and genetic correlations between pairs of traits. Results: All traits were heritable. The phenotypic and genetic correlations between SRTs and HTs were modest, and only the phenotypic correlation was significant. By contrast, all genetic SRT-cognition correlations were strong and significantly different from 0. For some of these genetic correlations, the hypothesis of complete pleiotropy could not be rejected. Discussion: Overall, the results suggest that there was substantial genetic overlap between SRTs and a wide range of cognitive abilities, including abilities without a major auditory or verbal component. The findings highlight the important, yet sometimes overlooked, contribution of higher-order processes to solving the cocktail-party problem, raising an important caveat for future studies aiming to identify specific genetic factors that influence cocktail-party listening

Data on genetic associations of carotid atherosclerosis markers in Mexican American and European American rheumatoid arthritis subjects

Carotid Intima-media thickness (CIMT) and plaque are well established markers of subclinical atherosclerosis and are widely used for identifying subclinical atherosclerotic disease. We performed association analyses using Metabochip array to identify genetic variants that influence variation in CIMT and plaque, measured using B-mode ultrasonography, in rheumatoid arthritis (RA) patients. Data on genetic associations of common variants associated with both CIMT and plaque in RA subjects involving Mexican Americans (MA) and European Americans (EA) populations are presented in this article. Strong associations were observed after adjusting for covariate effects including baseline clinical characteristics and statin use. Susceptibility loci and genes and/or nearest genes associated with CIMT in MAs and EAs with RA are presented. In addition, common susceptibility loci influencing CIMT and plaque in both MAs and EAs have been presented. Polygenic Risk Score (PRS) plots showing complementary evidence for the observed CIMT and plaque association signals are also shown in this article. For further interpretation and details, please see the research article titled A Genetic Association Study of Carotid Intima-Media Thickness (CIMT) and Plaque in Mexican Americans and European Americans with Rheumatoid Arthritis which is being published in Atherosclerosis (Arya et al., 2018) [1].(Arya et al., in press) Thus, common variants in several genes exhibited significant associations with CIMT and plaque in both MAs and EAs as presented in this article. These findings may help understand the genetic architecture of subclinical atherosclerosis in RA populations