Thermite frass biomass and surface modified biowaste coir fiber reinforced biocomposites-Conversion of waste to useful products.

Polymer composites are known for its light weight and specific mechanical characteristics. This study examines sodium hydroxide (NaOH)-treated coir fiber, an agro-leftover, stuffed in a polyester matrix with termite frass powder, a bio-leftover for possible use in light-weight structural applications. Composite samples were made using compression molding and NaOH-treated coir fiber reinforced hybrid polymer composite (TCRHPC) with 40 wt% treated coir fiber and 1, 2, 3, and 4 wt% termite frass powder.

Turn-Off Fluorescence Sensor for the Detection of Ferric Ion in Water Using Green Synthesized Wrightia coccinea Carbon Quantum Dot.

The current study report that the production of carbon quantum dots from Wrightia coccinea (WC) leaves using an eco-friendly, one-pot process. The structural, morphological, and optical characteristics of the CDs made from W. coccinea leaves by hydrothermal treatment at 200 °C for six hours were assessed using a variety of spectroscopic and electron microscopy techniques.

Application of Genetic Algorithm and U-Net in Brain Tumor Segmentation and Classification: A Deep Learning Approach.

The development of unusual cells in the cerebrum causes brain cancer. It is classified primarily into two classes: a noncarcinogenic (benign) type of growth and cancerous (malignant) growth. Early detection of this disease is a quintessential task for all medical practice professionals.

AI bot to detect fake COVID-19 vaccine certificate.

As the world is now fighting against rampant virus COVID-19, the development of vaccines on a large scale and making it reach millions of people to be immunised has become quintessential. So far 40.9% of the world got vaccinated.

Automated Detection of Nonmelanoma Skin Cancer Based on Deep Convolutional Neural Network.

One of the deadliest diseases is skin cancer, especially melanoma. The high resemblance between different skin lesions such as melanoma and nevus in the skin colour images increases the complexity of identification and diagnosis. An efficient automated early detection system for skin cancer detection is essential in order to save human lives, time, and effort.

Brain Tumor Detection and Classification by MRI Using Biologically Inspired Orthogonal Wavelet Transform and Deep Learning Techniques.

Radiology is a broad subject that needs more knowledge and understanding of medical science to identify tumors accurately. The need for a tumor detection program, thus, overcomes the lack of qualified radiologists. Using magnetic resonance imaging, biomedical image processing makes it easier to detect and locate brain tumors.

Nanomaterials as adsorbents for As(III) and As(V) removal from water: A review.

Freshwater demand will rise in the next couple of decades, with an increase in worldwide population growth and industrial development. The development activities, on one side, have increased the freshwater demand. However, the ground water has been degraded.

Photocatalytic degradation of Congo Red by zinc sulfide quantum dots produced by anaerobic granular sludge.

Sulfate reducing bacteria present in anaerobic granular sludge mediate the metabolic conversion of sulfate to sulfide. In the presence of heavy metals, sulfides precipitate as metal sulfides. In this study, dissimilatory sulfate reduction was coupled to the precipitation of zinc as ZnS quantum dots (QDs) at ambient conditions.

Biologically synthesized ZnS quantum dots as fluorescent probes for lead (II) sensing.

This manuscript presents a robust strategy for selective Pb(II) sensing based on a fluorescence turn-off mechanism using ZnS quantum dots (QDs) biosynthesized using Aspergillus sp. The biogenic nanoprobe displayed marked sensing efficiency in the presence of Pb ions over concentration ranges from 5 to 100 μM with limits of detection of around 2.45 μM.

Main factors influencing recovery in MERS Co-V patients using machine learning.

Background: Middle East Respiratory Syndrome (MERS) is a major infectious disease which has affected the Middle Eastern countries, especially the Kingdom of Saudi Arabia (KSA) since 2012. The high mortality rate associated with this disease has been a major cause of concern. This paper aims at identifying the major factors influencing MERS recovery in KSA.

Evaluation of emission, performance and combustion characteristics of dual fuelled research diesel engine.

This study is intended to examine the ignition characteristics of a cashew nut shell biodiesel (C100) along with ethyne (acetylene) as a dual fuel in a diesel engine. Cashew nut shell oil is employed in this study owing to non-toxic nature, free from sulphur, biodegradable, and free of aromatics. Ethyne gas was introduced at different flow rate of 2, 4, 6 litres per minute (lpm).

Biological approaches to tackle heavy metal pollution: A survey of literature.

Pollution by heavy metals has been identified as a global threat since the inception of industrial revolution. Heavy metal contamination induces serious health and environmental hazards due to its toxic nature. Remediation of heavy metals by conventional methods is uneconomical and generates a large quantity of secondary wastes.

Control of exposure to hexavalent chromium concentration in shielded metal arc welding fumes by nano-coating of electrodes.

Background Cr(VI) is a suspected human carcinogen formed as a by-product of stainless steel welding. Nano-alumina and nano-titania coating of electrodes reduced the welding fume levels. Objective To investigate the effect of nano-coating of welding electrodes on Cr(VI) formation rate (Cr(VI) FR) from a shielded metal arc welding process.

Synthesis and characterization of silver nanoparticles using Gelidium amansii and its antimicrobial property against various pathogenic bacteria.

Microfouling is evolving at a fast rate causing augmented mortality rates and damage worldwide. Until now, several remedial measures have been exploited to overcome microfouling, amongst them nanoparticles play a superior role. Currently, green synthesized nanoparticles have been centered owing to its eco-friendly, cost effectively and non-toxic nature which has also increased its industrial applications (biomedicine, food and textile).

New insights on the green synthesis of metallic nanoparticles using plant and waste biomaterials: current knowledge, their agricultural and environmental applications.

Nanotechnology is a rapidly growing scientific field and has attracted a great interest over the last few years because of its abundant applications. Green nanotechnology is a multidisciplinary field that has emerged as a rapidly developing research area, serving as an important technique that emphasize on making the procedure which are clean, non-hazardous, and especially environmentally friendly, in contrast with chemical and physical methods currently employed for nanosynthesis. The biogenic routes could be termed green as these do not involve the use of highly toxic chemicals or elevated energy inputs during the synthesis.

Allele, Genotype and Haplotype Structures of Functional Polymorphic Variants in Endothelial Nitric Oxide Synthase (eNOS), Angiotensinogen (ACE) and Aldosterone Synthase (CYP11B2) Genes in Healthy Pregnant Women of Indian Ethnicity.

Background: Variants in the candidate genes eNOS, CYP11B2 and ACE have been implicated as liable biomarkers that can predict complications like hypertension and preeclampsia. Studies on the impact and distribution of these variants on healthy pregnancy have not been done so far in south Indian or in any of the native Indian population. Examining these variants could lay a strong basis in understanding the genetic aspects of preeclampsia and further offer effective means in early risk assessment in a preeclampsia.

Polymorphic genetic variations of cytochrome P450 19A1 and T-cell leukemia 1A genes in the Tamil population.

Aromatase inhibitors (AIs) are anti-neoplastic drugs widely used for the treatment of endocrine responsive breast carcinoma in postmenopausal women. Drug disposition, efficacy and tolerability of these agents are influenced by germ-line polymorphisms in the sequence of the genes encoding CYP19A1 and TCL1A proteins. In the current work, we aimed to determine the haplotype structures, linkage disequilibrium (LD) patterns, and allele and genotype frequency distribution of pharmacologically important variants from two genes (CYP19A1 and TCL1A) in Tamil population and assessed their ethnic differences.

Haplotype analysis of the polymorphic 17 YSTR markers in Kerala nontribal populations.

The origin of the Kerala non tribal population has been a matter of contention for centuries. While some claim that Negritos were the first inhabitants, some historians suggest a Dravidian origin for all Keralites. The aim of our study has been to provide sufficient scientific evidence based on Y chromosome short tandem repeat (Y STR) analysis for tracing the paternal lineage and also to create a database of the Y STR haplotype of the male population for future forensic analysis.

Y-short tandem repeat haplotype and paternal lineage of the Ezhava population of Kerala, south India.

Aim: To analyze the haplotype of the Ezhava population of Kerala, south India, using 8 short tandem repeat (STR) loci on the Y chromosome and trace the paternal genetic lineage of the population.

Methods: Whole blood samples (n=104) were collected from unrelated healthy men of the Ezhava population over a period of one year from October 2009. Genomic DNA was extracted by salting out method.