Learning or Memorization: Self-Directed Medical School Curriculum and the Dangers of Overemphasizing Student Selected Ancillary Resources

This article is a response to an opinion article, authored by Wu JH et al. and published in JAMA 2021, vol 326 (20) which suggested the that pre-clinical (first two) years of medical school curriculum should revolve around “high-yield” resources as the dominant teaching tool. The article posited that this highly controversial view was the best way to engage with students and was published in a well-read and utilized medical journal. Due to the growing divide between learning resources provided by medical schools and outside resources actually utilized by students, the conclusions drawn in the mentioned opinion article were understandable but interpreted in the wrong vein. Herein, the authors review landmark changes in medical education over the last century and the underpinning rationale to preface their examination of the suggested changes from the mentioned opinion article. The authors conclude with recommendations from a student perspective and a continuation of the last 100 years of advancements

Oblong Mean Prime Labeling of Some Snake Graphs

A graph labeling is an assignment of integers to the vertices or edges or both subject to certain conditions. The graph for which every edge(uv),the labels assigned to u and v are oblong numbers and for each vertex of degree at least 2, the g c d of the labels of the incident edges is 1. Here we characterize some snake graphs for oblong mean prime labeling

Square Sum Difference Product Prime Labeling of Some Tree Graphs

Square sum difference product prime labeling of a graph is the labeling of the vertices with {0,1,2---------,p-1} and the edges with absolute difference of the sum of the squares of the labels of the incident vertices and product of the labels of the incident vertices. The greatest common incidence number of a vertex (gcin) of degree greater than one is defined as the greatest common divisor of the labels of the incident edges. If the gcin of each vertex of degree greater than one is one, then the graph admits square sum difference product prime labeling. In this paper we investigate some tree graphs for square sum difference product prime labeling

Hexagonal Difference Prime Labeling of Some Path Graphs

Hexagonal difference prime labeling of vertices of a graph is the labeling of the vertices of the graph with hexagonal numbers and the edges with absolute value of the difference of the labels of the incident vertices. The greatest common incidence number (gcin) of a vertex of degree greater than one is defined as the greatest common divisor of the labels of the incident edges. If the gcin of each vertex of degree greater than one is 1, then the graph admits hexagonal difference prime labeling.  Here we identify some path related graphs for hexagonal difference prime labeling

A Comparison of Australian and American Medical School Admission Experiences

Attaining admission into medical school has been described as a very competitive process by successful matriculants. The processes that medical schools use to classify applicants can greatly differ among institutions. These systemic differences flow over onto the applicant level, such that individuals from different geographic regions can have varied and diverse application experiences depending on local medical school admissions protocols. This piece compares the medical school admission processes of Australia and the United States of America, in the form of a narrative recount of a successful medical school matriculant in each country, with the individual experiences of matriculants from alternative pathways blended into the piece. The authors discovered significant differences in admissions protocols between the two countries, with the greatest differences revolving around admissions exams, applicant profile (high school students versus college students), degree types, and alternative entrance pathways

Data review for 3LN redfish in preparation for an updated management strategy evaluation

Data review for 3LN redfish in preparation for an updated management strategy evaluationVersión del editor

Infants on the move: bibliometric analyses of observational vs. digital means of screening infant development

Neurodevelopmental disorders are on the rise, yet their average diagnosis is after 4.5 years old. This delay is partly due to reliance on social-communication criteria, which require longer maturation than scaffolding elements of neuromotor control. Much earlier criteria could include reflexes, monitoring of the quality of spontaneous movements from central pattern generators and maturation of intentional movements and their overall sensation. General Movement Assessment (GMA) studies these features using observational means, but the last two decades have seen a surge in digital tools that enable non-invasive, continuous tracking of infants’ spontaneous movements. Despite their importance, these tools are not yet broadly used. In this work, using CiteSpace, VOSViewer and SciMAT software, we investigate the evolution of the literature on GMA and the methods in use today, to estimate how digital techniques are being adopted. To that end, we created maps of key word co-occurrence networks, co-author networks, document co-citation analysis and strategic diagrams of 295 publications based on a search in the Web of Science, Dimensions and SCOPUS databases for: ‘general movement assessment’ OR ‘general movements assessment’. The nodes on the maps were categorized by size, cluster groups and year of publication. We found that the state-of-the-art methodology to diagnose neurodevelopmental disorders still relies heavily on observation. Several groups in classical GMA research have branched out to incorporate new techniques, but few groups have adopted digital means. We report on additional analyses of methods and biosensors usage and propose that combining traditional clinical observation criteria with digital means may allow earlier diagnoses and interventional therapies for infants

“What IVC?”: Deep Vein Thrombosis in the Context of IVC Dysgenesis

Among young, otherwise healthy adults with unprovoked deep vein thrombosis (DVT), uncommon causes like variation in the normal sequential development of the inferior vena cava (IVC), must be explored. Anomalous IVC conditions are estimated to occur in up to 9% of the general population, with the rarest anomaly being IVC agenesis at 0.0005% - 1% general population prevalence. DVTs are more likely to develop in this population due to venous stasis from decreased venous return, even with the formation of extensive collateral veins. Herein, the authorial team presents a 22-year-old patient with leg pain and swelling who was found to have acute DVT, and, incidentally, the absence of the suprarenal IVC with a robust collateral system on further imaging studies. The morbidity of DVTs in this population is very high, and attention should be given to young patients who present with new-onset DVT in the setting of normal coagulation studies and lack of personal or family history of clotting disorders, as the need for specialized imaging such as venograms is necessary to secure the proper diagnosis

Impact of Long-Term Application of Domestic Sewage Water on Soil Properties Around Hubli City in Karnataka, India

The effects of application of domestic sewage water for over four decades on physical, chemical and biological properties of soils were studied at three sites in Gabbur, Mavanur and Katnur villages near Hubli city in North Karnataka, India. Long-term use of sewage irrigation improved soil physical properties in terms of decrease in bulk density and dispersion index and increase in aggregate stability and water holding capacity compared to the unirrigated check. Despite long-term irrigation with sewage water with an EC of >1 dS m−1, the EC of soils was low (0.20–0.45 dS m−1). An increase of one-and-half to two times in organic carbon content, available N, P, K and S, in the sewage irrigated soils was observed compared to soils not irrigated with sewage. However, the available Zn, Fe, Cu and B increased only slightly with the exception of Mn which increased substantially. In general there was a decreasing trend of organic carbon, available N, P, K and S with distance away from the stream course. Despite no heavy metals in sewage water, they were detected in soils but not in toxic levels. There were 94, 80 and 60 % more bacteria, fungi and actinomycetes, respectively, in sewage irrigated soils over the non-irrigated soils. Further, the coliform bacteria (E. coli) were observed in soil samples, suggesting fecal contamination