1,070 results match your criteria: "Visva-Bharati University: Visva-Bharati[Affiliation]"

Manganese-Catalyzed Electrochemical Amination of Activated Alkenes.

Chem Asian J

January 2025

Visva-Bharati University: Visva-Bharati, Chemistry, Santiniketan Road, 731235, Santiniketan, Bolpur, INDIA.

We have unveiled a new manganese-catalyzed electrochemical amination method to transform activated alkenes into a diverse array of vinyl amines harnessing sodium azide as the aminating reagent. The strategy claims notable versatility by accommodating a broad spectrum of substrates, demonstrating good compatibility with diverse functional groups, as well as delivering a moderate to good range of yields. The successful late-stage functionalization further underscores its practical utility.

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Carbon monoxide (CO) is widely recognized as a significant environmental pollutant and is associated with numerous instances of accidental poisoning in humans. However, it also serves a pivotal role as a signaling molecule in plants, exhibiting functions analogous to those of other gaseous signaling molecules, including nitric oxide (NO) and hydrogen sulfide (HS). In plant physiology, CO is synthesized as an integral component of the defense mechanism against oxidative damage, particularly under abiotic stress conditions such as drought, salinity, and exposure to heavy metals.

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In various scenarios where products and services are accompanied by warranties to ensure their reliability over a specified time, the two-parameter (shifted) exponential distribution serves as a fundamental model for time-to-event data. In modern production process, the products often come with warranties, and their quality can be manifested by the changes in the scale and origin parameters of a shifted exponential (SE) distribution. This paper introduces the Max-EWMA chart, employing maximum likelihood estimators and exponentially weighted moving average (EWMA) statistics, to jointly monitor SE distribution parameters.

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This study offers considerable information on plant wealth of therapeutic importance used traditionally by the residents of 11 villages under three subdivisions of Kurseong, Darjeeling Sadar, and Mirik in the Darjeeling District, West Bengal. For the acquisition of ethnomedicinal information, semi-structured interviews were conducted with 47 informants, of whom 11 persons were herbalists and 36 were knowledgeable persons. Free prior informed consent was obtained from each participant prior to the collection of field data.

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Article Synopsis
  • Polycyclic aromatic hydrocarbons (PAHs) are harmful organic pollutants resulting from incomplete combustion of organic material, posing risks to ecosystems and human health, which necessitates effective remediation methods.
  • This study explores the potential of combining nanomaterials with bioremediation techniques, finding that nano-bioremediation improves PAH removal in liquid samples by 18.9% and in soil samples by 14.3% compared to traditional bioremediation alone.
  • Various strategies for nano-bioremediation are discussed, including microbial degradation and enzyme enhancement, along with eco-friendly approaches using biogenic nanomaterials to tackle PAH pollution.
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First-principles analyses were performed for understanding the mechanistic details of Fe-catalysed asymmetric hydrogenation of alkenes in the presence of silane that has recently been experimentally realized. The catalytic hydrogenation is expected to proceed through initial hydride transfer from Fe-H to the CC bond of alkene, followed by σ-bond metathesis of hydrosilane to afford a chiral alkane product and an iron silyl species, which then reacts with H to regenerate the iron hydride species another σ-bond metathesis. The mechanistic details and the origin of the regioselectivity and stereoselectivity of these reactions are understood on the basis of detailed potential energy surface analysis, charge transfer and noncovalent interactions involved therein, strain energy and isodesmic studies in the solvated stage.

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Combined therapies in cancer treatment aim to enhance antitumor activity. However, delivering multiple small molecules imposes challenges, as different drugs have distinct pharmacokinetic profiles and tumor penetration abilities, affecting their therapeutic efficacy. To circumvent this, poly(lactic-co-glycolic acid) (PLGA)-polyethylene glycol (PEG)-based nanoparticles were developed as a platform for the codelivery of synergistic drug ratios, improving therapeutic efficacy by increasing the percentage of injected dose reaching the tumor.

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Article Synopsis
  • The CMS experiment conducted a search for charge-parity violation in decays using proton-proton collision data from 2018, analyzing around 10 billion events with b hadrons decaying into charm hadrons.
  • The flavor of the neutral D meson was determined through the charge of pions in the reconstructed decays, and an asymmetry measurement in the decays was reported, taking into account various uncertainties.
  • This research marks the first asymmetry measurement by the CMS in the charm sector and the first to use a fully hadronic final state in such analyses.
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Pyrene-attached new Schiff base polymer: ACQ to AIE conversion and its prospects.

Spectrochim Acta A Mol Biomol Spectrosc

December 2024

Polymer & Nano Research Laboratory, Department of Chemistry, Siksha-Bhavana, Visva-Bharati University, Santiniketan 731 235, India.

Schiff base polymer (SBP) is a new research field and an excellent candidate for real-life applications such as photoresistors, fluorescent chemical sensing kits, electrochromic devices, flame-retarders, and electrochemical substances. The dye-containing SBP (DSBP) advances the material further. Herein, the quality of pyrene dye has been improved through its chemical attachment to polyethyleneimine by a facile Schiff base reaction.

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Prediction of Brain Cancer Occurrence and Risk Assessment of Brain Hemorrhage Using Hybrid Deep Learning Technique.

Cancer Invest

December 2024

Scholar, Department of Computer and System Sciences, Visva-Bharati University, Santiniketan, W.B., India; Assistant Professor, Department of Computational Sciences, Brainware University, Barasat, Kolkata, W.B., India.

Article Synopsis
  • The study focuses on using hybrid deep learning techniques to predict brain cancer and assess the risk of brain hemorrhage, which are crucial for effective patient treatment.
  • It utilizes advanced image processing methods like Unsymmetrical Trimmed Median Filter and Chan-Vese segmentation to enhance MRI and CT scan images for better accuracy.
  • The research employs Multi-Head Self-Attention Dilated Convolution Neural Network (MH-SA-DCNN) for detecting brain tumors, along with a Graph-Based Deep Neural Network (G-DNN) to evaluate spatial relationships and risk, while fine-tuning the model with Cox regression and Osprey optimization algorithm.
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  • The Zn(II)-supramolecular metallogel (Zn-Py), created using 2,6-pyridinedicarboxylic acid, effectively encapsulated the solvent dimethylformamide and exhibited unique mechanical properties, including thixotropy.
  • Characterizations through imaging techniques like FESEM and TEM confirmed the gel's microscopic characteristics, while EDS analysis verified the composition of its gel-building components.
  • The Zn-Py metallogel demonstrated significant antimicrobial activity against both Gram-positive and Gram-negative bacteria, and was successfully used in fabricating photodetectors that performed well, with notable electrical parameters indicating high efficiency in optoelectronic applications.
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Inorganic polyphosphates (polyPs) are energy-storing biopolymers synthesized by all three domains of life. PolyP accumulation has been well studied with respect to its role in stress response, but its role in dental disease has received less attention. Dental decay can be promoted by changes in pH as well as the chemical activity of ions such as phosphate in oral fluids at the enamel interface.

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Recent advances in the syntheses and emerging applications of 2D borophene-based nanomaterials with a focus on supercapacitors.

Dalton Trans

December 2024

Integrated Science Education and Research Centre, Siksha Bhavana, Visva-Bharati University, Santiniketan 731 235, India.

Two-dimensional (2D) nanosheets of boron, borophene, have triggered interest in progressive research as a result of the vast field of opportunities to explore, from its innovative synthetic techniques to novel properties and potential applications. It possesses exceptional tuneable properties such as mechanical flexibility, electronic and thermal conductivity, optical transparency, metallicity, anisotropy and polymorphism. This has sparked significant curiosity in the application of borophene-based materials in energy storage systems such as supercapacitors, which display high-power density with reliable energy density, fast charge/discharge kinetics and long cycle life.

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Breaking the yield-quality tradeoff: OsNLP3 in rice.

Funct Integr Genomics

November 2024

Rice Biotechnology Laboratory, Department of Biotechnology, Visva-Bharati, Santiniketan, India.

A recent study by Sun et al. OsNLP3 enhances grain weight and reduces grain chalkiness in rice sheds new insight on the crucial role of OsNLP3 in regulating grain weight and chalkiness through its interaction with OsCEP6.1 and OsNF-YA8 and suppress their expression.

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CD36 inhibition corrects lipid-FetuinA mediated insulin secretory defects by preventing intracellular lipid accumulation and inflammation in the pancreatic beta cells.

Biochim Biophys Acta Mol Basis Dis

February 2025

Cell Signaling Laboratory, Department of Zoology, Siksha Bhavana (Institute of Science), Visva-Bharati University, Santiniketan 731235, India. Electronic address:

Article Synopsis
  • CD36 is a protein that helps with fat uptake and immune response, and it's found to be more active in the pancreatic islets of obese diabetic people, which can lead to issues with insulin secretion.
  • The study found that when beta cells were exposed to a combination of palmitate (a fatty acid) and fetuinA (a protein linked to inflammation), it triggered an inflammatory response that worsened lipid buildup and insulin secretion problems.
  • Inhibiting CD36 or the inflammatory receptor TLR4 helped reduce this lipid accumulation and restored insulin secretion in beta cells, indicating that targeting CD36 could be a potential treatment for obesity-related beta cell dysfunction.
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Two new dioxidovanadium(V) compounds with the general formula [VO(L)] (L = hydrazone ligand) were synthesized using three different methods (acidic, neutral, and basic media) with either VOSO. 5HO, [VO(acac)], or NHVO as the starting material and hydrazone ligands. In both cases, five coordinated V ions adopted distorted square pyramidal geometry through the coordination of two oxido ligands and one hydrazone ligand.

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Ion-acoustic solitons in a relativistic Fermi plasma at finite temperature.

Sci Rep

November 2024

Department of Mathematics, Saheed Nurul Islam Mahavidyalaya, Tentulia, 743 286, India.

The theory of ion-acoustic solitons in nonrelativistic fully degenerate plasmas and nonrelativistic and ultra-relativistic degenerate plasmas at low temperatures is known. We consider a multi-component relativistic degenerate electron-positron-ion plasma at finite temperatures. Specifically, we focus on the intermediate region where the particle's thermal energy and the rest mass energy do not differ significantly, i.

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Cu(I)-Catalyzed Silylation and Germylation of Azauracils.

Chemistry

November 2024

Department of Chemistry, Visva-Bharati (A Central University), Santiniketan, 731235, West Bengal, India.

The current study demonstrates a Cu(I) catalyzed direct C(sp)-H silylation and germylation of azauracil using triphenylsilane and triphenylgermane. A broad scope, excellent functional group tolerance, and suitability for large-scale reactions are exhibited in this protocol. Moreover, this method can be readily applied to structurally complex bioactive molecules.

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Designing high-efficiency bifunctional photocatalysts toward photoinduced overall water splitting is one of the most promising and challenging research directions for clean energy generation. By employing static electronic structure calculation and nonadiabatic molecular dynamics (NAMD) simulation, we herein established a recently synthesized two-dimensional (2D) aza-fused covalent organic framework (aza-COF) as a potential bifunctional photocatalyst toward overall water splitting reactions. Our calculated results reveal that the overpotentials for hydrogen evolution reaction and oxygen evolution reaction are only 0.

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Unlabelled: In the wake of the havoc caused by the COVID-19 pandemic, it is imperative to use the available genomic sequence data to gain insight into the mutational and genomic diversity of SARS-CoV-2. Here we have performed comparative phylogenetic, mutational and genetic diversity analysis on 1962 SARS-CoV-2 genome sequences from seven worst hit Indian states during the third Covid-19 wave, to determine the SARS-CoV-2 strains and mutations in circulation during the third wave and the transmission pattern and disease epidemiology across the states and gain valuable insight into the viral evolution. 6083 Single nucleotide polymorphisms (SNPs) were discovered in the analysis with 93 SNPs common to all states.

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Virulome and phylogenomic profiling of a novel Burkholderia pseudomallei strain from an Indian clinical isolate.

Mol Genet Genomics

October 2024

Centre for Molecular Neurosciences, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.

Highly pathogenic Burkholderia pseudomallei is the causative agent of melioidosis, a neglected tropical disease endemic in Southeast Asian tropical region. This bacterium encompasses diverse virulence factors which further undergo dynamic gene-expression flux as it transits through distinct environmental niches within the host which may lead to manifestation of differential clinical symptoms. B.

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Using proton-proton collision data corresponding to an integrated luminosity of collected by the CMS experiment at , the decay is observed for the first time, with a statistical significance exceeding 5 standard deviations. The relative branching fraction, with respect to the decay, is measured to be , where the first uncertainty is statistical, the second is systematic, and the third is related to the uncertainties in and .

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Dry reforming of methane (DRM) was extensively studied on Cu-doped LaNiO catalysts. The main findings of this work are as follows: (i) thermal switching of the catalyst phase between the parent perovskite and molecular-level nanocomposite of individual components formed during DRM, (ii) reusability of the catalyst with enhanced activity, and (iii) regeneration of the catalyst phase at a lower temperature than that required for the formation of the parent perovskite. The present investigation provides an extensive analysis and understanding of the DRM reaction using Cu-doped LaNiO compared to the result reported by Moradi , (, 2012, , 797-801) and hence provides new insights into its catalytic activity.

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Prediction of urban surface water quality scenarios using hybrid stacking ensembles machine learning model in Howrah Municipal Corporation, West Bengal.

J Environ Manage

November 2024

Geosciences, Environment and Geomatics Laboratory (GEG), Department of Earth Sciences, Faculty of Sciences, Ibnou Zohr University, Agadir, Morocco; MARE-Marine and Environmental Sciences Centre - Sedimentary Geology Group, Department of Earth Sciences, Faculty of Sciences and Technology, University of Coimbra, Coimbra, Portugal; Laboratory for Sustainable Innovation and Applied Research, Universiapolis-International University of Agadir, Agadir, Morocco. Electronic address:

In the pursuit of understanding surface water quality for sustainable urban management, we created a machine learning modeling framework that utilized Random Forest (RF), Cubist, Extreme Gradient Boosting (XGB), Multivariate Adaptive Regression Splines (MARS), Gradient Boosting Machine (GBM), Support Vector Machine (SVM), and their hybrid stacking ensemble RF (SE-RF), as well as stacking Cubist (SE-Cubist), to predict the distribution of water quality in the Howrah Municipal Corporation (HMC) area in West Bengal, India. Additionally, we employed the ReliefF and Shapley Additive exPlanations (SHAP) methods to elucidate the underlying factors driving water quality. We first estimated the water quality index (WQI) to model seven water quality parameters: total hardness (TH), pH, total dissolved solids (TDS), dissolved oxygen (DO), biochemical oxygen demand (BOD), calcium (Ca), magnesium (Mg).

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Efficacy of two different forms of selenium towards reduction of arsenic toxicity and accumulation in Cicer arietinum L.

J Trace Elem Med Biol

December 2024

Department of Environmental Studies, Siksha-Bhavana, Visva-Bharati, Santiniketan, West Bengal, India.

Article Synopsis
  • Arsenic in soil poses a serious threat to public health through contaminated crops, prompting research on how selenium can reduce its toxicity in chickpeas.
  • The study tested two forms of selenium (Se(0) and Se(VI)) at various concentrations, analyzing their effects on seed germination, growth, and arsenic accumulation in chickpea seedlings exposed to arsenic.
  • Results showed that combining selenium with arsenic improved seedling growth, reduced oxidative stress, and significantly decreased arsenic levels in the plants, with Se(VI) proving more effective than Se(0) in mitigating arsenic toxicity.
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