Training and education in pharmacovigilance: The experience from the Pharmacovigilance Programme of India.

For a robust Pharmacovigilance system in a country, training of healthcare professionals is of utmost importance. The training is the integral part of continual improvement in any quality management system. The present article describes the different training modules and experience from the Pharmacovigilance Programme of India (PvPI) and emphasizes that if training and education elements with special reference to pharmacovigilance are implemented for all concerned stakeholders in a healthcare system, the efficiency of deliverables will be improved and objectives of the organization can easily be achieved.

Optimal class of memory type imputation methods for time-based surveys using EWMA statistics.

Time-based surveys often experience missing data due to several reasons, like non-response or data collection limitations. Imputation methods play an essential role in incorporating these missing values to secure the accuracy and reliability of the survey outcomes. This manuscript proposes some optimal class of memory type imputation methods for imputing missing data in time-based surveys by utilizing exponentially weighted moving average (EWMA) statistics.

Rare case of early neonatal sepsis caused by successfully treated with voriconazole.

This study reports a case of multidrug resistant as the cause of early neonatal sepsis in a term small-for-gestational age neonate weighing 1680 g that successfully responded to voriconazole therapy. Both blood culture and urine culture of the neonate sent on day 4 and day 8 respectively showed Gram positive oval budding yeast cells on Gram staining which was confirmed as susceptible only to voriconazole by Vitek 2 Compact (Biomérieux, France) automated system. Voriconazole was given for fourteen days leading to good clinical response with microbiological clearance of fungus from blood and no side-effects.

Novel logarithmic imputation procedures using multi auxiliary information under ranked set sampling.

Ranked set sampling (RSS) is known to increase the efficiency of the estimators while comparing it with simple random sampling. The problem of missingness creates a gap in the information that needs to be addressed before proceeding for estimation. Negligible amount of work has been carried out to deal with missingness utilizing RSS.

Enhanced direct and synthetic estimators for domain mean with simulation and applications.

This article considers the issue of domain mean estimation utilizing bivariate auxiliary information based enhanced direct and synthetic logarithmic type estimators under simple random sampling (SRS). The expressions of mean square error (MSE) of the proposed estimators are provided to the order approximation. The efficiency criteria are derived to exhibit the dominance of the proposed estimators.

Diet characteristics of tidal creek-associated fishes of the northeastern Arabian Sea with special reference to microplastic ingestion.

The present study assessed the diet characteristics, trophic guild structure, and microplastics (MPs) ingestion by a group of fish sourced from the tidal creeks of the Mumbai coast along the Eastern Arabian Sea. The diet patterns were characterized using gastro-somatic index (GaSI), relative length of gut (RGL), diet overlap (α), diet breadth (B), and relative abundance of food items (%IOP), with a special emphasis on MPs contamination. The findings revealed that teleost and shrimps are the most preferred food items for these species.

DeepSplice: a deep learning approach for accurate prediction of alternative splicing events in the human genome.

Alternative splicing (AS) is a crucial process in genetic information processing that generates multiple mRNA molecules from a single gene, producing diverse proteins. Accurate prediction of AS events is essential for understanding various physiological aspects, including disease progression and prognosis. Machine learning (ML) techniques have been widely employed in bioinformatics to address this challenge.

Assessment of radiosensitivity and enhancing key steviol glycosides in Bertoni through gamma radiation.

Purpose: Bertoni is a perennial herb, widely used as a natural sweetener around the globe. The key compounds responsible for its sweetness includes stevioside and rebaudioside-A. In order to improve these steviol glycosides, the present study was initiated to study the effect of induced mutagenesis on growth parameters, steviol glycosides and nuclear DNA content in Bertoni using ten doses of gamma-rays (5-100 kR).

Efficient imputation methods in case of measurement errors.

This manuscript develops few efficient difference and ratio kinds of imputations to handle the situation of missing observations given that these observations are polluted by the measurement errors (ME). The mean square errors of the developed imputations are studied to the primary degree approximation by adopting Taylor series expansion. The proposed imputations are equated with the latest existing imputations presented in the literature.

Design based synthetic imputation methods for domain mean.

In real life, situations may arise when the available data are insufficient to provide accurate estimates for the domain, the small area estimation (SAE) technique has been used to get accurate estimates for the variable under study. The problem of missing data is a serious problem that has an impact on sample surveys, but small area estimates are especially prone to it. This paper is a basic effort that suggests design based synthetic imputation methods for the domain mean estimation using simple random sampling in order to address the issue of missing data under SAE.

Identification of potential breeding ground of flathead grey mullet, Mugil cephalus (Linnaeus, 1758), along the Mumbai coast, India, for ecological monitoring and conservation strategies.

Identifying the breeding grounds of fishes is crucial for the sustainable management of fisheries resources. The present study is aimed at identifying the potential breeding ground of Mugil cephalus along the estuary of the North Mumbai coast. A total of 1197 specimens of M.

A comparative analysis of growth kinetics, image analysis, and biofuel potential of different algal strains.

Due to the global population growth and economic development, energy demand has increased worldwide. Countries take steps to improve their alternative and renewable energy sources. Algae is one of the alternative energy sources and can be used to produce renewable biofuel.

A linker protein from a red-type pyrenoid phase separates with Rubisco via oligomerizing sticker motifs.

The slow kinetics and poor substrate specificity of the key photosynthetic CO-fixing enzyme Rubisco have prompted the repeated evolution of Rubisco-containing biomolecular condensates known as pyrenoids in the majority of eukaryotic microalgae. Diatoms dominate marine photosynthesis, but the interactions underlying their pyrenoids are unknown. Here, we identify and characterize the Rubisco linker protein PYCO1 from .

Anomalous Oligomerization Behavior of Aquaporin Z in Detergent and in Nanodiscs.

Aquaporins are tetrameric integral membrane proteins that act as water channels, and can also permeabilize membranes to other solutes. The monomer appears to be the functional form despite all aquaporins being organized as tetramers, which therefore must provide a clear functional advantage. In addition to this quaternary organization, some aquaporins can act as adhesion molecules in membrane junctions, when tetramers located in opposing membranes interact via their extracellular domains.

Study of feeding biology and diet-associated microplastic contamination in selected creek fishes of northeastern Arabian Sea: A multi-species approach.

This study investigated the diet composition and microplastic contamination in six fish species collected from the creek area of northeastern Arabian Sea. The results show that the diet of the fish is mainly composed of shrimps, algae, fish, and zooplankton, with microplastics constituting up to 4.83 % (Index of Preponderance) of their diet.

Persistence of parental age effect on somatic mutation rates across generations in Arabidopsis.

In the model plant Arabidopsis thaliana, parental age is known to affect somatic mutation rates in their immediate progeny and here we show that this age dependent effect persists across successive generations. Using a set of detector lines carrying the mutated uidA gene, we examined if a particular parental age maintained across five consecutive generations affected the rates of base substitution (BSR), intrachromosomal recombination (ICR), frameshift mutation (FS), and transposition. The frequency of functional GUS reversions were assessed in seedlings as a function of identical/different parental ages across generations.

Impacts of marine debris on coral reef ecosystem: A review for conservation and ecological monitoring of the coral reef ecosystem.

Coral reefs are the most spectacular underwater creation of nature. It enhances ecosystem functioning and marine biodiversity while also ensuring the livelihood of millions of coastal communities worldwide. Unfortunately, marine debris poses a serious threat to ecologically sensitive reef habitats and their associated organisms.

Health risk assessment and metal contamination in fish, water and soil sediments in the East Kolkata Wetlands, India, Ramsar site.

East Kolkata Wetlands (EKW) is an important site for fish culture in sewage-fed areas, which are major receivers of pollutants and wastages from Kolkata. EKW is internationally important as the Ramsar site was declared on Aug 2002 with an area of 125 km. EKW is a natural water body where wastewater-fed natural aquaculture has been practiced for more than 70 years.

Evaluating the performance of memory type logarithmic estimators using simple random sampling.

In survey research, various types of estimators have been suggested that consider only the current sample information to compute the unknown population parameters. Therefore, we utilize the past sample information along with the current sample information in the form of hybrid exponentially weighted moving averages to suggest the memory type logarithmic estimators for time-based surveys. The expression of the mean square error of the suggested estimators is determined to the first order of approximation.

Impact of key parameters involved with plant-microbe interaction in context to global climate change.

Anthropogenic activities have a critical influence on climate change that directly or indirectly impacts plant and microbial diversity on our planet. Due to climate change, there is an increase in the intensity and frequency of extreme environmental events such as temperature rise, drought, and precipitation. The increase in greenhouse gas emissions such as CO, CH, NOx, water vapor, increase in global temperature, and change in rainfall patterns have impacted soil-plant-microbe interactions, which poses a serious threat to food security.

Correction: Chrysomycins A-C, antileukemic naphthocoumarins from .

[This corrects the article DOI: 10.1039/C3RA42884B.].

Blockchain Powered Vaccine Efficacy for Pharma Sector.

Infectious and contagious diseases exist in humanity for many centuries which causes a curb in the growth of the population. Immunization plays a vital role to prevent mortality and morbidity against infectious diseases. COVID-19 pandemic continues to rage the urgency of developing a vaccine that should ensure the safety, efficacy, swift and fair deployment, implementation, and monitoring of vaccines across the globe.

Plant probiotics - Endophytes pivotal to plant health.

Endophytes as a ubiquitous associate of the plant are considered as a promising candidate for sustainable agriculture. These organisms play a pivotal role in the regulation of the primary and secondary metabolism of their host plant. The direct and long-lasting interaction of endophytes with the host enables them to escape from harsh environmental conditions.