Enhanced Optoelectronic Properties of Polythiophene--Poly(dimethyl amino ethyl methacrylate)--Poly(diethylene glycol methyl ether methacrylate) Copolymers using "" Synthetic Strategy.

The optoelectronic properties of polythiophene (PT) graft block copolymers are most important for fabricating optoelectronic devices, and recently, we reported a single-pot atom-transfer radical polymerization (ATRP) technique for preparation of PT graft block copolymers between thermoresponsive poly(diethylene glycol methyl ether methacrylate) (PDEGMEM) and pH-responsive poly(dimethyl amino ethyl methacrylate) (PDMAEMA) from the PT backbone via the "" strategy with an 11 mol % contamination. A "" strategy has been opted to eliminate the contamination from the block copolymer where we synthesized poly(thiophene acetic acid) (P3TAA) followed by the coupling with PDEGMEM--PDMAEMA-Cl, PDMAEMA--PDEGMEM-Cl, and PDMAEMA--PDEGMEM-Cl copolymers, produced separately by the ATRP technique. The polymers were characterized using H NMR, SEC, etc.

A sustainable two-echelon green supply chain coordination model under fuzziness incorporating carbon pricing policies.

Noxious effect on environmental due to carbon emissions is being addressed worldwide by governments through carbon pricing instruments. Two of prevalent instruments adopted by governments are simple carbon tax and cap-and-trade policy. Effectiveness of carbon pricing instruments towards achieving reduction in carbon emissions is a matter of study on one hand.

Neutrosophic Cost Pattern of Inventory System with Novel Demand Incorporating Deterioration and Discount on Defective Items Using Particle Swarm Algorithm.

The potential to obtain defective or damaged items with non-defective commodities is common to experience at the production unit or when shipping products from one layer to another. This research focuses on the faulty things that retailers receive from suppliers. The retailer has set a restriction on the percentage of defective things, and the retailer receives a discount on the cost of purchasing defective items.

Using satellites to uncover large methane emissions from landfills.

As atmospheric methane concentrations increase at record pace, it is critical to identify individual emission sources with high potential for mitigation. Here, we leverage the synergy between satellite instruments with different spatiotemporal coverage and resolution to detect and quantify emissions from individual landfills. We use the global surveying Tropospheric Monitoring Instrument (TROPOMI) to identify large emission hot spots and then zoom in with high-resolution target-mode observations from the GHGSat instrument suite to identify the responsible facilities and characterize their emissions.

Global stability and analysing the sensitivity of parameters of a multiple-susceptible population model of SARS-CoV-2 emphasising vaccination drive.

The study explores the dynamics of a COVID-19 epidemic in multiple susceptible populations, including the various stages of vaccination administration. In the model, there are eight human compartments: completely susceptible; susceptible with dose-1 vaccination; susceptible with dose-2 vaccination; susceptible with booster dose vaccination; exposed; infected with and without symptoms, and recovered compartments. The biological feasibility of the model is analysed.

Mathematical Analysis of a COVID-19 Epidemic Model by Using Data Driven Epidemiological Parameters of Diseases Spread in India.

This paper attempts to describe the outbreak of Severe Acute Respiratory Syndrome Coronavirus 2 (COVID-19) via an epidemic model. This virus has dissimilar effects in different countries. The number of new active coronavirus cases is increasing gradually across the globe.

Mathematical Analysis of Two Waves of COVID-19 Disease with Impact of Vaccination as Optimal Control.

This paper is devoted to answering some questions using a mathematical model by analyzing India's first and second phases of the COVID-19 pandemic. A new mathematical model is introduced with a nonmonotonic incidence rate to incorporate the psychological effect of COVID-19 in society. The paper also discusses the local stability and global stability of an endemic equilibrium and a disease-free equilibrium.

A discrete-time epidemic model for the analysis of transmission of COVID19 based upon data of epidemiological parameters.

The forecasting of the nature and dynamics of emerging coronavirus (COVID-19) pandemic has gained a great concern for health care organizations and governments. The efforts aim to to suppress the rapid and global spread of its tentacles and also control the infection with the limited available resources. The aim of this work is to employ real data set to propose and analyze a compartmental discrete time COVID-19 pandemic model with non-linear incidence and hence predict and control its outbreak through dynamical research.

Dynamical analysis of novel COVID-19 epidemic model with non-monotonic incidence function.

In this study, we developed and analyzed a mathematical model for explaining the transmission dynamics of COVID-19 in India. The proposed model is a modified version of the existing model. Our model divides the infected class of model into two classes: (unknown infected class) and (known infected class).

Lysine 53 Acetylation of Cytochrome in Prostate Cancer: Warburg Metabolism and Evasion of Apoptosis.

Prostate cancer is the second leading cause of cancer-related death in men. Two classic cancer hallmarks are a metabolic switch from oxidative phosphorylation (OxPhos) to glycolysis, known as the Warburg effect, and resistance to cell death. Cytochrome (Cyt) is at the intersection of both pathways, as it is essential for electron transport in mitochondrial respiration and a trigger of intrinsic apoptosis when released from the mitochondria.

A fractional order SITR mathematical model for forecasting of transmission of COVID-19 of India with lockdown effect.

In this paper, we consider a mathematical model to explain, understanding, and to forecast the outbreaks of COVID-19 in India. The model has four components leading to a system of fractional order differential equations incorporating the refuge concept to study the lockdown effect in controlling COVID-19 spread in India. We investigate the model using the concept of Caputo fractional-order derivative.

Molecular prospect of type-2 diabetes: Nanotechnology based diagnostics and therapeutic intervention.

About ninety percent of all diabetic conditions account for T2D caused due to abnormal insulin secretion/ action or increased hepatic glucose production. Factors that contribute towards the aetiology of T2D could be well explained through biochemical, molecular, and cellular aspects. In this review, we attempt to explain the recent evolving molecular and cellular advancement associated with T2D pathophysiology.

Regulation of Respiration and Apoptosis by Cytochrome c Threonine 58 Phosphorylation.

Cytochrome c (Cytc) is a multifunctional protein, acting as an electron carrier in the electron transport chain (ETC), where it shuttles electrons from bc complex to cytochrome c oxidase (COX), and as a trigger of type II apoptosis when released from the mitochondria. We previously showed that Cytc is regulated in a highly tissue-specific manner: Cytc isolated from heart, liver, and kidney is phosphorylated on Y97, Y48, and T28, respectively. Here, we have analyzed the effect of a new Cytc phosphorylation site, threonine 58, which we mapped in rat kidney Cytc by mass spectrometry.

A novel approach of NPSO on dynamic weighted NHPP model for software reliability analysis with additional fault introduction parameter.

This paper presents software fault detection, which is dependent upon the effectiveness of the testing and debugging team. A more skilled testing team can achieve higher rates of debugging success, and thereby removing a larger fraction of faults identified without introducing additional faults. A complex software is often subject to two or more stages of testing that exhibits distinct rates of fault discovery.

Metagenomics Approaches in Discovery and Development of New Bioactive Compounds from Marine Actinomycetes.

Marine actinomycetes are prolific sources of marine drug discovery system contributing for several bioactive compounds of biomedical prominence. Metagenomics, a culture-independent technique through its sequence- and function-based screening has led to the discovery and synthesis of numerous biologically significant compounds like polyketide synthase, Non-ribosomal peptide synthetase, antibiotics, and biocatalyst. While metagenomics offers different advantages over conventional sequencing techniques, they also have certain limitations including bias classification, non-availability of quality DNA samples, heterologous expression, and host selection.

Proteomic and genomic responses of plants to nutritional stress.

Minerals or trace elements in small amount are essential nutrients for every plant, but when the internal concentration exceeds the threshold, these essential elements do create phytotoxicity. Plant responses to elemental stresses are very common due to different anthropogenic activities; however it is a complex phenomenon with individual characteristics for various species. To cope up with the situation, a plant produces a group of strategies both in proteomic and genomic level to overcome it.

Phosphorylation of Cytochrome c Threonine 28 Regulates Electron Transport Chain Activity in Kidney: IMPLICATIONS FOR AMP KINASE.

Mammalian cytochrome c (Cytc) plays a key role in cellular life and death decisions, functioning as an electron carrier in the electron transport chain and as a trigger of apoptosis when released from the mitochondria. However, its regulation is not well understood. We show that the major fraction of Cytc isolated from kidneys is phosphorylated on Thr, leading to a partial inhibition of respiration in the reaction with cytochrome c oxidase.

Stability and Bionomic Analysis of Fuzzy Prey-Predator Harvesting Model in Presence of Toxicity: A Dynamic Approach.

This paper deals with a prey-predator model in which both the species are infected by some toxicants which are released by some other species or source with fuzzy biological parameters. The application of fuzzy differential equation in the modeling of prey-predator populations with the effect of toxicants is presented. The dynamical behavior and harvesting of the fuzzy exploited system are studied by using the utility function method.