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प्रौद्योगिकी विकास बोर्ड - भारत में स्वदेशी प्रौद्योगिकियों और नवाचारों को सुदृढ़ करने वाला अग्रणी संगठन
No full text9-1
Pharmacoinformatic based screening of phytochemicals from Ashwagandha (Withania somnifera) against serine/arginine splicing factor 1 protein in treatment of pancreatic cancer
No full text632-644Pancreatic cancer sometimes referred to as pancreatic ductal adenocarcinoma, a disease in which the tissues
of the pancreas develop malignant (cancerous) cells. The main objective of this work was to use in silico molecular
modeling tools to predict highly efficacious therapeutic molecules from Withania somnifera, a medicinal plant also known
as winter cherry or Ashwagandha, to bind promising targets against pancreatic cancer. Thirty four phytocompounds
produced from Withania somnifera were identified using the IMPPAT database, and their structures were found
in the PubChem database. A putative target protein called Serine/arginine-rich splicing factor 1 (SRSF1) was matched
to every phytocompound. Somniferine (–10.4 kcal × mol–1), Physagulin-D (–10.2 kcal × mol–1), and 27-Deoxywithaferin -A
(–10.1 kcal × mol–1), the phytocompounds from Withania somnifera with the highest scores, were selected for further
examination and compared with the reference drug CID60750 (–6.7 kcal × mol–1). To verify their druggability, a few topscoring
phytocompounds drug-likeness, pharmacokinetic, and toxicological properties were evaluated. These expected
results suggest that in the treatment of pancreatic cancer, phytocompounds inhibit the SRSF1 protein. Additional in vitro and
in vivo investigations are required to validate the anticipated characteristics of these substances
Therapeutic effects of Erythrina variegata on primary dysmenorrhea and endometriosis: An in silico analysis
No full text425-434Primary dysmenorrhea (PD) is painful menstrual cramps, while endometriosis (EM) is a condition where tissue like the uterine lining grows outside the uterus, causing pain and infertility. EM and PD commonly associated in nociceptive pathways and inflammatory responses. In this study, phytochemicals such as erycrystagallin, erystagallin A, eryvarine A, 4-hydroxy-6, 3, 5 triprenyl isoflavonone, eryvarinol A, orientanol B from E. variegata have been evaluated for its potential to regulate TNF, COX-1, COX-2, PGF 2α involved in the inflammatory pathway resulting in hypersecretion of prostaglandins thereby causing excessive constriction of uterine muscle, nerve sensitization which leads to unbearable pain in PD. Similarly, employing network analysis in STRING and Cytoscape along with molecular docking in PyRx, the phytochemicals were investigated for their potential against PSR, ESR1, SF1, CYP19A1, GATA6, and MMP2, which creates an epigenetic abnormality converting stromal cells to endometriotic lesions and triggering inflammation through excessive production of estrogen. Using Cytoscape, the ligands with strong ADMET characteristics were found, and their interactions with the targets were verified. Molecular docking was performed to visualise the target-ligand complexes with the lowest binding affinities between -9 and -9.9. Hydrophobic and electrostatic interactions confirmed the ligands' influence on the targets. E. variegata ceases primary dysmenorrhea from developing into endometriosis. Additionally, it minimises estrogen and progesterone imbalances associated with EM & PD
A comparative study on removal of As(III) from industrial wastewater using newly synthesized polysaccharide-based chelating resins
No full text272-279Water contamination by a wide range of hazardous substances including heavy metals, metalloids, and dyes is a major
environmental concern due to their potential human toxicity. Therefore, technologies for the removal of harmful
contaminants in wastewater have been developed substantially. Among all the methods that have been proposed, ion
exchange and adsorption processes are the most efficient techniques for removal of contaminants from industrial wastewater
and very important tools for environmental protection also. In this study, we focus on removing As(III) by applying an ion
exchange mechanism using TKP (Tamarind kernel powder) and CCSP (Citrullus Colocynthis seed powder) based chelating
resin. FTIR spectra & SEM analysis confirm the functional groups and structure of newly synthesized resins subsequently.
With the use of the Langmuir and Freundlich isotherm models, the interaction of metalloid ion with chelating resin has been
evaluated. Effects of various parameters like contact time, chelating resin dosage, metalloid ion concentration, and pH on
removal efficiency are also discussed. The maximum removal efficiencies of TTABA (Tamarind Triazine Amino
Butanedioic Acid) resin and CTABA (Citrullus Triazine Amino Butanedioic Acid) resin have been observed as 82.3% and
75.6%, respectively, for As(III)
Solar Site Selection: A Novel Normalized Expert Strictness for Tailored Evaluation in Decision-Making (NESTED) Approach
No full text567-574This paper introduces the NESTED methodology, addressing a critical gap in decision-making by normalizing variations in
expert strictness during the criteria weighting phase. Traditional approaches assume uniformity in expert evaluations, often
leading to inconsistent outcomes. In contrast, the approach systematically adjusts for individual variations in expert stringency,
ensuring fairness and reliability. By integrating normalization techniques with subjective weighting methods, the framework
enhances robustness and practicality. The methodology is validated through a solar energy site selection case study, showcasing
its applicability in real-world scenarios. Sensitivity analysis underscores its reliability, particularly highlighting the influence of
experienced experts on decision outcomes. Comparative analysis with established methods, such as Entropy and CIMAS,
reveals the approach’s distinct advantages in addressing expert biases, further solidifying its effectiveness. As a novel
contribution, this method is the first to specifically tackle the normalization of expert strictness, an often-overlooked yet vital
aspect of criteria weighting. The results demonstrate its potential to significantly enhance multi-criteria decision-making
processes. By offering a practical solution to this longstanding challenge, the methodology lays the groundwork for future
advancements in decision-making frameworks, promoting equitable and consistent evaluation practices
A Hybrid Framework for the Diagnosis of Parkinson’s Disease using Handwritten Drawings-Spiral and Wave
No full text520-530Parkinson's disease is a progressive neurological disorder that significantly affects individuals worldwide. Early and accurate
classification of the disease is crucial for timely intervention and improved patient outcomes. This study aims to develop an
effective classification system using drawings of spirals and waves to discriminate between healthy individuals and those with
Parkinson's disease, aiming to provide an early diagnostic method, leading to improved patient lifespan. The study utilizes two sets
of drawings: spirals and waves. Data augmentation techniques are employed to increase the dataset size and enhance training data
for deep neural networks. The Pyramid Histogram of Oriented Gradients (PHoG) algorithm is applied to compute shape descriptors
from healthy and Parkinson's drawings. A Visual Geometry Group (VGG)-based deep learning model is used to extract significant
features from the modified drawings, particularly from the fc6 and fc7 layers. Supervised classifiers, Support Vector Machine
(SVM) and K-Nearest Neighbor (KNN), are employed individually and in combination to classify the extracted features. The
results demonstrate that the fused features achieved the highest accuracy values: 98.6% for spiral drawings using SVM and 96.57%
for wave drawings using KNN. These accuracy rates highlight the effectiveness of the proposed method in accurately classifying
Parkinson's disease based on drawings of spirals and waves. The findings suggest that the proposed method has the potential to
serve as a non-invasive and reliable tool for early diagnosis of Parkinson's disease. It can enable timely interventions and improved
patient care
Impact of CPC micellar medium on Ru(III) promoted oxidation of L-Valine by diperiodatocuprate(III)
No full text486-495The objective of the proposed investigation is to examine the influence of cationic surfactant on the Ru(III) facilitated LValine
oxidation using diperiodatocuprate(III) (DPC) in an alkaline medium. The oxidation rate was ascertained by
measuring the decrease in absorbance at a wavelength of 415 nm, an indicator of the Cu(III) concentration. The reaction's
advancement was assessed employing the pseudo-first-order condition as a gauge for [OH–], [DPC], ionic strength, [LValine],
[Ru(III)], [IO4
–], [Surfactant], and temperature. L-Valine and DPC interact stoichiometrically in a ratio of 1:4.
Across the spectrum of concentrations examined, the reported reaction reflects less than unit order kinematics in relation to
both [L-Valine], and [OH–], first-order reliance on the [DPC] and [Ru(III)], and negative fractional-order for [IO4
–]. A zero
salt effect is suggested by the observed constancy in oxidation rate with the inclusion of electrolytes. The oxidation rate is
significantly enhanced by Ru(III) solution (as a catalyst) at ppm concentration. Cetylpyridinium chloride (CPC) micellar
media facilitates an additional enhancement in the rate of the desired reaction. CPC thus exhibits an excellent compatibility
with Ru(III) for the L-Valine oxidation using (DPC)
Effect of temperature and solvents on thermo-physical properties of pyrimidine substituted thiazolidinone derivatives at three different temperatures
No full text476-485Ultrasonic velocities, densities, and viscosities have been determined in a binary liquid tandem including pyrimidine
substituted thiazolidinone at temperatures T= (298.15, 308.15, and 313.15 K) over the thiazolidinone's complete
molality range. 5-(4-fluorobenzylidene)-2-(furan-2-yl)-3-(pyrimidin-2-yl)thiazolidin-4-one (AZ1) and 2-(furan-2-yl)-5-(4-
methylbenzylidene)-3-(pyrimidin-2-yl)thiazolidin-4-one (AZ2) in N,N-dimethyl formamide (DMF) and dimethylsulfoxide
(DMSO) were studied. Further to various acoustical and thermodynamic parameters, measurements have been made of the
density, viscosity, and ultrasonic sound velocity. Further study has been conducted to figure out the effects of solvent
alterations and structural modifications on the values of Gibbs energy of activation (ΔG*), enthalpy of activation (ΔH*), and
entropy of activation (ΔS*). These results have been explained in terms of the molecular interactions among the constituents
of the liquid mixture
Revisiting the APUPA Pattern: Analysing the Publication Fall Index in DNA Fingerprints Research
No full text201-209This research revisits the APUPA pattern, focusing on the DNA Fingerprints domain, and introduces the "Publication Fall Index" (PFI) as a quantitative indicator to identify subjects on the boundary between core and allied domains. Analysing publications from 1985 to 2014, core subjects such as Biochemistry, Genetics, and Molecular Biology, and Medicine consistently emerge. The study utilises Ranganathan's concepts and methodologies, including the APUPA arrangement, to define the hierarchical relationship between subjects. Through analytical formalism, the research introduces the concept of Relative Facet Strength (RFS) and its modification into PFI to address the impact of different article numbers. Findings reveal shifts in core subjects and the emergence of allied subjects over time. Notably, Agricultural and Biological Sciences, Immunology, Microbiology, and Environmental Science demonstrate significant PFI values, indicating their roles as core subjects. The study contributes to understanding knowledge organisation within DNA Fingerprints research, highlighting the dynamic relationship between core and allied subjects. This research underscores the utility of the APUPA pattern and PFI in delineating subject boundaries, aiding researchers in identifying core areas of study within interdisciplinary fields like DNA Fingerprints
Information Literacy Initiatives in Libraries of Select Indian Institutions of National Importance: An Exclusive Viewpoint of Librarians
No full text174-185This study aims to understand how library professionals are planned, delivered, and promoted by exploring real-life practices rather than relying on a theoretical framework with the help of the Big6 model of IL. The research employed a survey method using a Google Form questionnaire, adopting a descriptive research design using a quantitative survey method, with 38 library professionals participating.
The findings indicate that library orientation sessions are one of the most impactful methods for providing services in selected libraries for delivering information literacy to users. Libraries face challenges in implementing or organizing information literacy due to a lack of active participation, limited staff expertise, resistance to change, or adoption of new methods. Researchers have proposed that faculty should be instrumental in motivating and mobilizing students to undertake information literacy programs that their libraries offer. The study reveals that no credit score system in institutions is awarded for participating in IL programs offered by their libraries. It is imperative that this model of add-on (2/3) credit scores in the academic curriculum may prove to be an important component in the academic learning outcomes of the students. The study suggests and concludes that there is an urgent need to work systematically on the policies and standards that offer guidelines and strategies for revamping information literacy by integrating the information literacy concept into the curriculum of HEI’s academic program for all categories of students (Undergraduate, Post Graduate, Professional Courses like B.Tech, M.Tech, M.BA, etc.) as a mandatory course