75 results match your criteria: "Asutosh College[Affiliation]"

The article reports a hitherto-unknown aromatic proton transfer (APT) to the o-amine function chelated to manganese(II) ion and disintegration of the molecule generating an aryne intermediate. The reaction of (NQ)-NH(AQ) (LH) with manganese(II) acetate in boiling DMF generates [Mn(L)], where the LH ligands undergo disintegration forming manganese(II) complexes of AQ and an 1,4-naphthoquinonyne intermediate based on benzoquinone ring, that has been defined as [NQ-2H] (NQ and AQ abbreviate respectively 1,4-naphthoquinone and 8-aminoquinoline fragments). The fragmentation reaction of LH depends on the metal precursor used, solvent and temperature.

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Deepfake detection using deep feature stacking and meta-learning.

Heliyon

February 2024

Department of Computer Science and Engineering, Jadavpur University, Kolkata, 700032, India.

Deepfake is a type of face manipulation technique using deep learning that allows for the replacement of faces in videos in a very realistic way. While this technology has many practical uses, if used maliciously, it can have a significant number of bad impacts on society, such as spreading fake news or cyberbullying. Therefore, the ability to detect deepfake has become a pressing need.

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Landscape of intrinsically disordered proteins in mental disorder diseases.

Comput Struct Biotechnol J

December 2024

Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250100, China.

Disrupted genes linked to mental disorders sometimes exhibit characteristics of Intrinsically Disordered Proteins (IDPs). However, few studies have comprehensively explored the functional associations between protein disorder properties and different psychiatric disorders. In this study, we collected disrupted proteins for seven mental diseases (MDD, SCZ, BP, ID, AD, ADHD, ASD) and a control dataset from normal brains.

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The study provides a descriptive understanding of the toxic effect of heavy metal chromium on the hematological, biochemical, and digestive enzyme profiles in the fingerlings of Labeo rohita. The 96-h LC of hexavalent chromium was found to be 15.76 mg/L.

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Twenty-five promising salt-tolerant mulberry germplasms from different species were evaluated for growth under varying salinity levels (10.20-25.60 dS m) typical of the coastal regions in South 24 Parganas, West Bengal.

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Intrinsic Disorder and Other Malleable Arsenals of Evolved Protein Multifunctionality.

J Mol Evol

December 2024

Department of Microbiology, Asutosh College (Affiliated With University of Calcutta), Kolkata, 700026, India.

Microscopic evolution at the functional biomolecular level is an ongoing process. Leveraging functional and high-throughput assays, along with computational data mining, has led to a remarkable expansion of our understanding of multifunctional protein (and gene) families over the past few decades. Various molecular and intermolecular mechanisms are now known that collectively meet the cumulative multifunctional demands in higher organisms along an evolutionary path.

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In this study, Ziziphus spina christi leaves was used to synthesize a trimetallic CuO/Ag/ZnO nanocomposite by a simple and green method. Many characterizations e.g.

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Nanobiotechnology has ushered in a new era of scientific discovery where the unique properties of nanomaterials, such as gold nanoparticles, have been harnessed for a wide array of applications. This review explores gold nanoparticles' synthesis, properties, and multidisciplinary applications, focusing on their role as biosensors. Gold nanoparticles possess exceptional physicochemical attributes, including size-dependent optical properties, biocompatibility, and ease of functionalization, making them promising candidates for the development of biosensing platforms.

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The combined effect of shape and electrostatic complementarities (Sc, EC) at the interface of the interacting protein partners (PPI) serves as the physical basis for such associations and is a strong determinant of their binding energetics. EnCPdock (https://www.scinetmol.

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Article Synopsis
  • The study aimed to predict future groundwater potential zones by using machine learning algorithms and various climate change scenarios, incorporating fourteen environmental parameters.
  • Three machine learning techniques (ANN, LMT, and LR) were applied, with the artificial neural network (ANN) proving to be the most accurate for identifying potential groundwater areas.
  • The study forecasts precipitation for the years 2025, 2030, 2035, and 2040 under different climate conditions and emphasizes the importance of these findings for informed water management decisions by government officials.
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Floods cause substantial losses to life and property, especially in flood-prone regions like northwestern Bangladesh. Timely and precise evaluation of flood impacts is critical for effective flood management and decision-making. This research demonstrates an integrated approach utilizing machine learning and Google Earth Engine to enable real-time flood assessment.

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Corneal HSV-1 infections are a leading cause of infectious blindness globally by triggering tissue damage due to the intense inflammation. HSV-1 infections are treated mainly with antiviral drugs that clear the infections but are inefficient as prophylactics. The body produces innate cationic host defence peptides (cHDP), such as the cathelicidin LL37.

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Breast cancer (BC) is globally one of the leading killers among women. Within a breast tumor, a minor population of transformed cells accountable for drug resistance, survival, and metastasis is known as breast cancer stem cells (BCSCs). Several experimental lines of evidence have indicated that BCSCs influence the functionality of immune cells.

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Using conventional steady state and time resolved fluorescence study of the interaction between a multi-tryptophan protein and a quencher, it is difficult, if not impossible to identify the particular tryptophan residue/residues involved in the interaction. In this work we have exemplified the above contention using a multi-tryptophan protein, Glyceraldehyde-3-phosphate dehydrogenase (GAPD) from rabbit muscle having three tryptophan (Trp) residues at positions 84, 193 and 310 and a neutral quencher acrylamide in Tris buffer of pH 7.5.

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A seasonal study was undertaken to understand the influence of wastewater on phytoplankton distribution in a water body of East Kolkata Wetland (EKW), a designated Ramsar site in Kolkata, West Bengal, India. A total of 19 different genera of phytoplankton belonging to 5 phyla were recorded. Among all the groups, Chlorophyceae was found to be dominated by 8 genera followed by Bacillariophycaeae (4 genera), Cyanophyceae (4 genera), Euglenophyceae (2 genera), and Zygnematophyceae (1 genus).

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Context: Protein-protein interaction (PPI) is a key component linked to virtually all cellular processes. Be it an enzyme catalysis ('classic type functions' of proteins) or a signal transduction ('non-classic'), proteins generally function involving stable or quasi-stable multi-protein associations. The physical basis for such associations is inherent in the combined effect of shape and electrostatic complementarities (Sc, EC) of the interacting protein partners at their interface, which provides indirect probabilistic estimates of the stability and affinity of the interaction.

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Article Synopsis
  • Severe HSV-1 infections can lead to blindness and complications with cornea transplants, prompting research into alternative treatments.* -
  • The study focused on using biosynthetic implants made from collagen and modified nanoparticles that deliver KR12, a non-toxic peptide capable of blocking HSV-1 reactivation and promoting tissue regeneration.* -
  • Although the implants did not significantly reduce HSV-1 viral levels or inflammation, they successfully decreased viral spread and facilitated healing in infected rabbit corneas over a 6-month period.*
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The clinical applications of nanotechnology are emerging as widely popular, particularly as a potential treatment approach for infectious diseases. Diseases associated with multiple drug-resistant organisms (MDROs) are a global concern of morbidity and mortality. The prevalence of infections caused by antibiotic-resistant bacterial strains has increased the urgency associated with researching and developing novel bactericidal medicines or unorthodox methods capable of combating antimicrobial resistance.

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Toxicity of Nanoscaled Zero-Valent Iron Particles on Tilapia, .

ACS Omega

December 2022

Department of Chemistry, College of Science and Humanities in Al-Kharj, Prince Sattam bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia.

This research effort aims to evaluate the hazardous potential of the redox state (OH) of zero-valent iron nanoparticles (nZVI) and its histopathological and oxidative stress toward Mozambique tilapia, . X-ray powder diffraction (XRD) validated the nZVI nanoparticles' chemical composition, while transmission electron microscopy (TEM) revealed that their physical form is round and oval. The exposure to 10 g/mL of nZVI induced the activation of the cellular superoxide dismutase (SOD) activity.

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Purpose: Economic development of India mainly depends on agricultural sectors. The Indian traditional agricultural system is mainly based on chemical fertilizer to get better yield. The main motto of this research work is to change the traditional faith of Indian farmers and rural Indian economy.

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Development of research network on Quantum Annealing Computation and Information using Google Scholar data.

Philos Trans A Math Phys Eng Sci

January 2023

Department of Computer Science, Asutosh College, Kolkata, West Bengal 700026, India.

We build and analyse the network of 100 top-cited nodes (research papers and books from Google Scholar; the strength or citation of the nodes range from about 44 000 up to 100) starting in early 1980 until last year. These searched publications (papers and books) are based on Quantum Annealing Computation and Information categorized into four different sets: (A) Quantum/Transverse Field Spin Glass Model, (B) Quantum Annealing, (C) Quantum Adiabatic Computation and (D) Quantum Computation Information in the title or abstract of the searched publications. We fitted the growth in the annual number of publication ([Formula: see text]) in each of these four categories, A-D, to the form [Formula: see text] where [Formula: see text] denotes the time in years.

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Background Chronic urticaria exerts a profound impact on quality of life. Recent guidelines recommend its evaluation in all chronic urticaria patients. Currently, the Chronic Urticaria Quality of Life Questionnaire (CU-Q2oL) is the only validated tool to assess chronic urticaria-specific quality of life.

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Green Assembly of Covalently Linked BiOBr/Graphene Composites for Efficient Visible Light Degradation of Dyes.

ACS Omega

October 2022

Department of Nano Convergence Engineering and Department of Polymer Nano Science and Technology, Jeonbuk National University, Jeonju, Jeonbuk 54896, Korea.

A novel high-performance BiOBr@graphene (BiOBr@G) photocatalyst with a new assembly structure had been demonstrated using a facile hydrothermal method through chemical bonding of reduced graphene oxide and structure-defined BiOBr flakes for improving charge separation and transfer performance, which were first synthesized at room temperature in immiscible solvents without corrosive acids. The prepared samples were characterized, and the BiOBr@G composite realized an efficient assembly portfolio of graphene and BiOBr flakes with defined structures, verified by scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray diffraction (XRD), and Raman and X-ray photoelectron spectroscopy (XPS), in which BiOBr flakes were covalently linked with the assembled graphene sheets through the Bi-C bond. This composite exhibited remarkable visible light absorbance and efficient photoinduced charge splitting characteristics in comparison with those of pure BiOBr, as established by DRS absorption, photoluminescence radiation, and photocurrent study.

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The novel coronavirus (COVID-19), has undoubtedly imprinted our lives with its deadly impact. Early testing with isolation of the individual is the best possible way to curb the spread of this deadly virus. Computer aided diagnosis (CAD) provides an alternative and cheap option for screening of the said virus.

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