Review on Concept Drift Detection Techniques

Detecting the changes and reacting on them is an interesting research topic in current era. Concept drift detection is comes under data stream mining. Process which takeout information from data stream which continuously generated called data stream mining. Normally in data set the data is stationary but problem arises when data is continuously generated that is data stream. So in that case the detection of concept drift is an important task. There are various techniques for drift detection. This paper focuses on some main technique of drift detection

Evaluation of complications during third stage of labour among women delivering at tertiary care center

Background: The common complications occurring during third stage of labor are PPH Retained Placenta, Morbid adherent placenta- placenta accreta, placenta increta, percreta, perineal tears, uterine inversion increasing the maternal morbidity and mortality. The objective of the present study was to evaluate percentage and spectrum of obstetrics complication occurring during third stage of labor.Methods: An observational study was done at Department of Obstetrics and Gynecology, People’s College of Medical Sciences and Research Center, Bhopal from January 2016 to December 2017. All women delivering vaginally including instrumental deliveries were included. The medio-lateral episiotomy was given to all primigravida and for multigravida decision was case based as big size babies, instrumental deliveries, rigid perineum. Active management of third stage of labor was practiced.Results: 899 women delivered vaginally during the study period of 2 years (Jan -Dec 2016 Jan -Dec 2017). Among these 6.45% (58 women) had various complications during third stage of labor . 55% were primigravida. Complications which were observed to occur during third stage of labor were perineal tear 4% (37/899 deliveries). Atonic PPH occurred in 0.5% (9/899 deliveries) Traumatic PPH was in 1.44% (13/899 deliveries and 0.3% cases had retained placenta. Associated condition in perineal tear cases were 92% had big size babies 5% cases were preterm labor and in 3% cases ventouse application was done.Conclusions: Common complications were 1st and 2nd degree perineal tears occurred in 4% deliveries and traumatic PPH were in 1.44% of cases

Synthesis of Molecularly Imprinted Polymer Nanoparticles for SARS-CoV-2 Virus Detection Using Surface Plasmon Resonance

COVID-19 caused by a SARS-CoV-2 infection was first reported from Wuhan, China, and later recognized as a pandemic on March 11, 2020, by the World Health Organization (WHO). Gold standard nucleic acid and molecular-based testing have largely satisfied the requirements of early diagnosis and management of this infectious disease; however, these techniques are expensive and not readily available for point-of-care (POC) applications. The COVID-19 pandemic of the 21st century has emphasized that medicine is in dire need of advanced, rapid, and cheap diagnostic tools. Herein, we report on molecularly imprinted polymer nanoparticles (MIP-NPs/nanoMIPs) as plastic antibodies for the specific detection of SARS-CoV-2 by employing a surface plasmon resonance (SPR) sensor. High-affinity MIP-NPs directed against SARS-CoV-2 were manufactured using a solid-phase imprinting method. The MIP-NPs were then characterized using dynamic light scattering (DLS) and atomic force microscopy (AFM) prior to their incorporation into a label-free portable SPR device. Detection of SARS-CoV-2 was studied within a range of 104–106 PFU mL−1. The MIP-NPs demonstrated good binding affinity (KD = 0.12 pM) and selectivity toward SARS-CoV-2. The AFM, cyclic voltammetry, and square-wave voltammetry studies revealed the successful stepwise preparation of the sensor. A cross-reactivity test confirmed the specificity of the sensor. For the first time, this study demonstrates the potential of molecular imprinting technology in conjunction with miniaturized SPR devices for the detection of SARS-CoV-2 particles with high-affinity and specificity. Such sensors could help monitor and manage the risks related to virus contamination and infections also beyond the current pandemic

Fluorescein Tri-Aldehyde Promotes the Selective Detection of Homocysteine

Elevated homocysteine levels are a well-known independent risk factor for cardiovascular disease. To date, relatively few selective fluorescent probes for homocysteine detection have been reported. The lack of sensing reagents and remaining challenges largely derive from issues of sensitivity and/or selectivity. For example, homocysteine is a structural homologue of the more abundant (ca, 20-25 fold) aminothiol cysteine, differing only by an additional methylene group side chain. Fluorescein tri-aldehyde, described herein, has been designed and synthesized as a sensitive and selective fluorophore for the detection of homocysteine in human plasma samples. It responds to analytes selectively via a photoinduced electron transfer (PET) inhibition process that is modulated by predictable analyte-dye product hybridization and ionization states. Mulliken population analysis of fluorescein tri-aldehyde and its reaction products reveals that the characteristic formation of multiple cationic of homocysteine-derived heterocycles leads to enhanced relative negative charge build up on the proximal phenolate oxygen of the fluorophore as a contributing factor to selective emission enhancement

Crop geometry and nutrient (N-P-K-S) management for kharif onion bulb (Allium cepa) crop

The experiment was conducted during rainy (kharif) seasons of 2020 and 2021 at College of Agriculture (Agriculture University, Jodhpur, Rajasthan), Sumerpur, Pali, Rajasthan to find out the optimal quantity of N-P-K-S nutrients and appropriate crop geometry to maximize the productivity and bulb quality of onion (Allium cepa L.). The experiment was conducted in split-plot design (SPD) by means of 3 levels of N-P-K-S nutrients in main plots and 5 crop geometries under sub-plot, replicated thrice. Widest crop geometry (15 cm × 15 cm) with highest level of nutrients (140 N-80 P-80 K-40 S) resulted in highest tallness of plant (97.8 cm), maximum leaves (19/plant), root length (9.9 cm), number of roots/plant (139.8), average bulb weight (133.9 g) and harvest index (51.2). Saleable bulbs (43.6 t/ ha), total income (6753.8 USD), net income (5462.6 USD) and Benefit: cost (B:C) ratio (4.23) was the highest in 10 cm × 10 cm geometry with highest level of N-P-K-S nutrients. Maximum biological production (125.8 t/ha), bulb production (61.8 t/ha) was observed at closest geometry (7.5 cm × 7.5 cm) with highest level of N-P-K-S nutrients. It was confirmed by experimentation, that the onion seedling should be transplanted at 10 cm × 10 cm geometry with 140 N-80 P-80 K-40 S kg/ha nutrients in medium fertile sandy loam soil in arid agro-climatic condition for maximum saleable good quality onion bulbs production

Impact of Coronavirus Pandemic on Education

Coronavirus Disease (COVID-19) outbreak poses serious concerns to global education systems. Efforts to contain COVID-19 prompted unscheduled closure of schools in more than 100 countries worldwide. COVID-19 school closures left over one billion learners out of school. The study investigates the impact of COVID-19 on education.  Data were collected through structured questionnaires administered to 200 respondents that consist of teachers, students, parents, and policy makers selected from different countries. The collected data were analyzed using STATA/Regression. The results show that COVID-19 has adverse effects on education including, learning disruptions, and decreased access to education and research facilities, Job losses and increased student debts. The findings also show that many educators and students relied on technology to ensure continued learning online during the Coronavirus pandemic. However, online education was hindered by poor infrastructures including, network, power, inaccessibility and unavailability issues and poor digital skills. The study underscores the damaging effects of COVID-19 on education sector and the need for all educational institutions, educators, and learners to adopt technology, and improve their digital skills in line with the emerging global trends and realities in education. Keywords: Coronavirus, Education, School closure, Technology, Virtual learning, Covidiot. DOI: 10.7176/JEP/11-13-12 Publication date:May 31st 202