The MongoDB injection dataset: A comprehensive collection of MongoDB - NoSQL injection attempts and vulnerabilities.

We present the 'NoSQL Injection Dataset for MongoDB, a comprehensive collection of data obtained from diverse projects focusing on NoSQL attacks on MongoDB databases. In the present era, we can classify databases into three main types: structured, semi-structured, and unstructured. While structured databases have played a prominent role in the past, unstructured databases like MongoDB are currently experiencing remarkable growth.

Leveraging technology-driven strategies to untangle omics big data: circumventing roadblocks in clinical facets of oral cancer.

Oral cancer is one of the 19most rapidly progressing cancers associated with significant mortality, owing to its extreme degree of invasiveness and aggressive inclination. The early occurrences of this cancer can be clinically deceiving leading to a poor overall survival rate. The primary concerns from a clinical perspective include delayed diagnosis, rapid disease progression, resistance to various chemotherapeutic regimens, and aggressive metastasis, which collectively pose a substantial threat to prognosis.

Prescription auditing and assessment of medication adherence patterns in patients with diabetic foot ulcer.

Background: Diabetic foot ulcer (DFU) is a serious infectious disease, which can be managed very well through proper medication, but if left untreated it may lead to amputation of the affected area leading to permanent immobility which will compromise the patient's quality of life.

Objective: To carry out prescription auditing and to assess medication adherence patterns among DFU patients.

Materials And Methods: A prospective interview-based study was carried out in the surgery department among inpatients aged above 18 years diagnosed with a DFU.

Variability in soil properties influencing pigeonpea ( ) yield: a multivariate statistical analysis.

The aim of the study was to reveal the variability in soil properties influencing pigeonpea ( ) seed yield under semi-arid rainfed condition. Soils were initially classified into series level and further these series were divided into soil-phase units. For two site years , 2018-19 and 2019-20, surface soil samples from each soil-phase unit were collected before sowing of pigeonpea and subsequently crop growth parameters at critical stages were recorded.

Design an efficient data driven decision support system to predict flooding by analysing heterogeneous and multiple data sources using Data Lake.

Floods are the most common natural disaster in several countries throughout the world. Flooding has a major impact on people's lives and livelihoods. The impact of flood disasters on human lives can be mitigated by developing effective flood forecasting and prediction models.