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Medical council of India has made remarkable modifications in the curriculum of medical students after a long period of more than 20 years with regulations on Graduate Medical Education 1997. Innovative and interactive teaching methods have taken center place in the implementation of the new curriculum nationwide. Small group teaching and problem-assisted learning have brought a paradigm shift in biochemistry teaching, which was earlier teacher cantered and was taught by only didactic lectures due to which biochemistry was considered a boring and dry subject. The present interventional study was conducted in the Department of Biochemistry, Vardhman Mahavir Medical College and Safdarjung Hospital, Delhi. All the students of MBBS first professional Batch 2018-2019 were enrolled in the present study. After sensitizing the faculty and students regarding jigsaw method of learning, it was undertaken in two different batches on 4 different days, with faculty and senior residents acting as facilitators. The groups were named according to rainbow colors. The topics were taught by power point presentation before the conduction of jigsaw activity that was discussed in form of seven clinical cases. Post jigsaw, a prevalidated feedback questionnaire was filled by the students. The faculty and senior residents gave a constructive feedback via focused group discussion. In our study 100% students opined that teaching and being taught by peers was beneficial in enhancing the in depth knowledge of the topic. Ninety-two percent students opined jigsaw learning helpful in promoting self-directed learning in the student, whereas 88.5% students felt that this teaching learning tool to be made a the regular part of the curriculum. Jigsaw groups create many opportunities for creative interchange of ideas and lively and meaningful participations. But due to limitation of time and logistics, it can be used in conjunction with routine methods of learning.

This study introduces UWF-ZeekDataFall22, a newly created dataset labeled using the MITRE ATT&CK framework. Although the focus of this research is on classifying the never-before classified resource development tactic, the reconnaissance and discovery tactics were also classified. The results were also compared to a similarly created dataset, UWF-ZeekData22, created in 2022. Both of these datasets, UWF-ZeekDataFall22 and UWF-ZeekData22, created using Zeek Conn logs, were stored in a Big Data Framework, Hadoop. For machine learning classification, Apache Spark was used in the Big Data Framework. To summarize, the uniqueness of this work is its focus on classifying attack tactics. For UWF-ZeekdataFall22, the binary as well as the multinomial classifier results were compared, and overall, the results of the binary classifier were better than the multinomial classifier. In the binary classification, the tree-based classifiers performed better than the other classifiers, although the decision tree and random forest algorithms performed almost equally well in the multinomial classification too. Taking training time into consideration, decision trees can be considered the most efficient classifier. [ABSTRACT FROM AUTHOR]

A case study of 35-year-old male with iron deficiency anaemia is presented, and also offers information on analysis of serum iron.

We directly prepared insoluble silk films by blending with glycerol and avoiding the use of organic solvents. The ability to blend a plasticizer like glycerol with a hydrophobic protein like silk and achieve stable material systems above a critical threshold of glycerol is an important new finding with importance for green chemistry approaches to new and more flexible silk-based biomaterials. The aqueous solubility, biocompatibility, and well-documented use of glycerol as a plasticizer with other biopolymers prompted its inclusion in silk fibroin solutions to assess impact on silk film behavior. Processing was performed in water rather than organic solvents to enhance the potential biocompatibility of these biomaterials. The films exhibited modified morphologies that could be controlled on the basis of the blend composition and also exhibited altered mechanical properties, such as improved elongation at break, when compared with pure silk fibroin films. Mechanistically, glycerol appears to replace water in silk fibroin chain hydration, resulting in the initial stabilization of helical structures in the films, as opposed to random coil or beta-sheet structures. The use of glycerol in combination with silk fibroin in materials processing expands the functional features attainable with this fibrous protein, and in particular, in the formation of more flexible films with potential utility in a range of biomaterial and device applications.