Sketch-Based Streaming Anomaly Detection in Dynamic Graphs

Given a stream of graph edges from a dynamic graph, how can we assign anomaly scores to edges and subgraphs in an online manner, for the purpose of detecting unusual behavior, using constant time and memory? For example, in intrusion detection, existing work seeks to detect either anomalous edges or anomalous subgraphs, but not both. In this paper, we first extend the count-min sketch data structure to a higher-order sketch. This higher-order sketch has the useful property of preserving the dense subgraph structure (dense subgraphs in the input turn into dense submatrices in the data structure). We then propose four online algorithms that utilize this enhanced data structure, which (a) detect both edge and graph anomalies; (b) process each edge and graph in constant memory and constant update time per newly arriving edge, and; (c) outperform state-of-the-art baselines on four real-world datasets. Our method is the first streaming approach that incorporates dense subgraph search to detect graph anomalies in constant memory and time

Effectiveness of Seminar Based Approach on the Level of Financial Literacy among Dental Students of Central Gujarat

Introduction: Financial literacy refers to knowledge and skills related to effective and informed money management decisions. Healthcare professionals graduate with some of the highest student loan debt level. They complete their graduation with minimal unbiased financial planning guidance. Aim: To assess the effectiveness of seminar based approach on the level of financial literacy among dental students of Vadodara, Gujarat, India. Materials and Methods: This prospective interventional study was conducted in Vadodara, Gujarat, India from May 2021 to October 2021. The data was collected from 332 participants through a closed ended questionnaire which included 83 statements related to banking, alternate banking, investment and income and expenditure. The data was assessed using Paired t test to assess the effectiveness of financial education seminar at 95% confidence level. The software used was IBM Statistical Package for the Social Science (SPSS) Version 21.0 for Windows. Results: This study included 332 interns and postgraduate students, of which 209 participants were female while 123 participants were male. There was a significant difference in the knowledge of students on various financial aspects covered in the study before and after the seminar with respect to gender, age and category of students (p-value<0.05). There was a significant difference in the knowledge of participants before and after the seminar on financial literacy (p-value<0.001) Conclusion: The result shows that the score of the participants improved after the 90 minutes seminar which will helpful to them for their future long-term investment decisions

Optimisation of a Greener-Approach for the Synthesis of Cyclodextrin-Based Nanosponges for the Solubility Enhancement of Domperidone, a BCS Class II Drug

BCS class II molecules suffer from low oral bioavailability because of their poor permeability and sub-optimal aqueous solubility. One of the approaches to enhance their bioavailability is using cyclodextrin-based nanosponges. This study aimed to optimise and evaluate the feasibility of a microwave-assisted approach to synthesise nanosponges and improve domperidone’s solubility and drug delivery potential. In the production process, microwave power level, response speed, and stirring speed were optimised using the Box-Behnken approach. Ultimately, the batch with the smallest particle size and highest yield was chosen. The optimised method of synthesis of the nanosponges resulted in a product yield of 77.4% and a particle size of 195.68 ± 2.16 nm. The nanocarriers had a drug entrapment capacity of 84 ± 4.2% and a zeta potential of −9.17± 0.43 mV. The similarity and the difference factors demonstrated proof-of-concept, showing that the drug release from the loaded nanosponges is significantly greater than the plain drug. Additionally, spectral and thermal characterisations, such as FTIR, DSC, and XRD, confirmed the entrapment of the drug within the nanocarrier. SEM scans revealed the porous nature of the nanocarriers. Microwave-assisted synthesis could be used as a better and greener approach to synthesise these nanocarriers. It could then be utilised to load drugs and improve their solubility, as seen in the case of domperidone