Risk prediction of cardiovascular disease using machine learning classifiers.

Cardiovascular disease (CVD) makes our heart and blood vessels dysfunctional and often leads to death or physical paralysis. Therefore, early and automatic detection of CVD can save many human lives. Multiple investigations have been carried out to achieve this objective, but there is still room for improvement in performance and reliability.

OPTCLOUD: An Optimal Cloud Service Selection Framework Using QoS Correlation Lens.

Cloud computing has grown as a computing paradigm in the last few years. Due to the explosive increase in the number of cloud services, QoS (quality of service) becomes an important factor in service filtering. Moreover, it becomes a nontrivial problem when comparing the functionality of cloud services with different performance metrics.

Computational studies on potential new anti-Covid-19 agents with a multi-target mode of action.

A compound that could inhibit multiple targets associated with SARS-CoV-2 infection would prove to be a drug of choice against the virus. Human receptor-ACE2, receptor binding domain (RBD) of SARS-CoV-2 S-protein, Papain-like protein of SARS-CoV-2 (PLpro), reverse transcriptase of SARS-CoV-2 (RdRp) were chosen for in silico study. A set of previously synthesized compounds (-) were docked into the active sites of the targets.

In Silico and In Vitro Evaluations of Fluorophoric Thiazolo-[2,3-b]quinazolinones as Anti-cancer Agents Targeting EGFR-TKD.

Epidermal growth factor receptor tyrosine kinase domain (EGFR-TKD) plays a pivotal role in cellular signaling, growth, and metabolism. The EGFR-TKD is highly expressed in cancer cells and was endorsed as a therapeutic target for cancer management to overcome metastasis, cell proliferation, and angiogenesis. The novel thiazolo-[2,3-b]quinazolinones series were strategically developed by microwave-assisted organic synthesis and multi dominos reactions aimed to identify the potent thiazolo-[2,3-b]quinazolinone inhibitor against EGFR-TKD.

Impact of sectoral decompositions of electricity consumption on economic growth in India: evidence from SVAR framework.

The study examines the effects of electricity consumption from different sectors such as agricultural, commercial, domestic, industrial (HV), industrial (LV-MV) and miscellaneous sectors on economic growth over the period of 1981-2019 in the case of India. We used SVAR framework and concluded that the consumption of electricity from agriculture sector has a negative impact on economic growth, whereas the industrial (HV and MV-LV) and commercial electricity consumption has positive impact on economic growth. Similarly, electricity consumption by the domestic sector has less positive effect on economic growth.

Polyelectrolyte-Dye Interactions: An Overview.

Polyelectrolytes are polymers with repeating units of ionizable groups coupled with counterions. Recently, polyelectrolytes have drawn significant attention as highly promising macromolecular materials with potential for applications in almost every sector of our daily lives. Dyes are another class of chemical compounds that can interact with substrates and subsequently impart color through the selective absorption of electromagnetic radiation in the visible range.

Polyvinylchloride and polypropylene as adsorbents of the pesticide monocrotophos enhance oxidative stress in Eudrillus eugeniae (Kinberg).

The use of plastics has increased significantly with consequent rise in the generation of wastes. Microplastics (MPs) with particle size <5 mm are produced in natural terrestrial habitats by weathering of the discarded plastic debris and therefore are likely to impact soil biota. Earthworms are the dominant soil fauna which play vital role in soil formation and decomposition of organics.

Intelligent Semantic Segmentation for Self-Driving Vehicles Using Deep Learning.

Understanding the situation is a critical component of any self-driving system. Accurate real-time visual signal processing to create pixelwise classed pictures, also known as semantic segmentation, is critical for scenario comprehension and subsequent acceptance of this new technology. Due to the intricate interaction between pixels in each frame of the received camera data, such efficiency in terms of processing time and accuracy could not be achieved prior to recent advances in deep learning algorithms.

screening and covalent binding of phytochemicals of against SARS-CoV-2 (COVID 19) main protease.

Coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has compelled the scientific community to search for an effective drug that can cure or a vaccine that can prevent the disease. Alternatively, symptomatic treatment and traditional immunity boosters are prescribed. Holy () has been known as an ancient remedy for cure of common cold and respiratory ailment.

Risk Assessment of Arsenic Toxicity Through Groundwater-Soil-Rice System in Maldah District, Bengal Delta Basin, India.

Arsenic (As), a toxic trace element, is of great environmental concern due to its presence in soil, water, plant, animal and human continuum. Its high toxicity and increased appearance in the biosphere have triggered public concern. The present study measured As concentrations in soil, groundwater and rice plant samples of five selected blocks of Maldah district, West Bengal, India.

The mechanistic pathways of arsenic transport in rice cultivars: Soil to mouth.

Rice cultivars are major conduit of arsenic (As) poisoning to human. We quantified transferability of fifteen rice cultivars representing three groups i.e.

Design of Metamaterial Based Efficient Wireless Power Transfer System Utilizing Antenna Topology for Wearable Devices.

In this article, the design of an efficient wireless power transfer (WPT) system using antenna-based topology for the applications in wearable devices is presented. To implement the wearable WPT system, a simple circular patch antenna is initially designed on a flexible felt substrate by placing over a three-layer human tissue model to utilize as a receiving element. Meanwhile, a high gain circular patch antenna is also designed in the air environment to use as a transmitter for designing the wearable WPT link.

Does green financing help to improve environmental & social responsibility? Designing SDG framework through advanced quantile modelling.

Striving to achieve the Sustainable Development Goals (SDGs), countries are increasingly embracing a sustainable financing mechanism via green bond financing. Green bonds have attracted the attention of the industrial sector and policymakers, however, the impact of green bond financing on environmental and social sustainability has not been confirmed. There is no empirical evidence on how this financial product can contribute to achieving the goals set out in Agenda 2030.

Detection of COVID-19 from speech signal using bio-inspired based cepstral features.

The early detection of COVID-19 is a challenging task due to its deadly spreading nature and existing fear in minds of people. Speech-based detection can be one of the safest tools for this purpose as the voice of the suspected can be easily recorded. The Mel Frequency Cepstral Coefficient (MFCC) analysis of speech signal is one of the oldest but potential analysis tools.

Monte-Carlo method-based QSAR model to discover phytochemical urease inhibitors using SMILES and GRAPH descriptors.

Urease inhibitors are known to play a vital role in the field of medicine as well as agriculture. Special attention is attributed to the development of novel urease inhibitors with a view to treat the infection. Amongst a number of urease inhibitors, a large number of molecules fail and in clinical trials due to their hydrolytic instability and toxicity profile.

A discrete Cu(Pd-bpy)L heterometallic compound with superoxide dismutase enzyme like activity.

A discrete heterometallic compound consisting of Cu(ii) and Pd(ii) units which mimicks Bovine Cu-ZnSOD has been synthesised in aqueous medium. Its superoxide radical ion scavenging activity is higher than the SOD activity of Scylla serrata tissues and comparable with the liver of Gallus domesticus.

Bioactive silver phosphate/polyindole nanocomposites.

Materials capable of releasing reactive oxygen species (ROS) can display antibacterial and anticancer activity, and may also have anti-oxidant capacity if they suppress intracellular ROS ( nitric oxide, NO) resulting in anti-inflammatory activity. Herein we report silver phosphate (AgPO)/polyindole (Pln) nanocomposites which display antibacterial, anticancer and anti-inflammatory activity, and have therefore potential for a variety of biomedical applications.