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Government College

About: Government College is a based out in . It is known for research contribution in the topics: Population & Ring (chemistry). The organization has 4481 authors who have published 5986 publications receiving 57398 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, an attempt is made to develop mechanistic models of thrust and torque in micro-drilling of plain epoxy sheets, which are extended to glass-reinforced plastics (GRP), and drilling forces are predicted using the proposed mechanistic model.
Abstract: Aerospace and automobile industries extensively use components made of plastics and fiber-reinforced plastics which require micro-machining operations including micro-drilling to be carried out. Various attempts are reported in the literature to study different strategies and model the forces in micro-drilling with a view to produce micro-holes having large aspect ratio and to reduce drill breakage. The force models are more statistical than mechanistic in approach. In the present work, an attempt is made to develop mechanistic models of thrust and torque in micro-drilling of plain epoxy sheets. Material model capturing strain rate and temperature-dependent yield strength of epoxy material and basic principles of machining are employed for this purpose. The mechanistic model for prediction of thrust and torque is validated using well-planned full factorial design of experiments. Experiments are carried out using a carbide drill of 0.5-mm diameter with three levels for speed and feed on a high-speed miniature machine tool specially developed at the laboratory. The material model is extended to glass-reinforced plastics (GRP), and drilling forces are predicted using the proposed mechanistic model. In both cases of plain and GRP sheets, the model predictions are close to the experimentally measured drilling forces.

29 citations

Journal ArticleDOI
TL;DR: Mapping of three novel loci for non‐syndromic autosomal recessive mental retardation (NS‐ARMR) in consanguineous families from Pakistan shows positive results for two of the three loci.
Abstract: To date, of 13 loci with linkage to non-syndromic autosomal recessive mental retardation (NS-ARMR), only six genes have been established with associated mutations. Here we present our study on NS-ARMR among the Pakistani population, where people are traditionally bound to marry within the family or the wider clan. In an exceptional, far-reaching genetic survey we have collected more than 50 consanguineous families exhibiting clinical symptoms/phenotypes of NS-ARMR. In the first step, nine families (MR2-9 and MR11) with multiple affected individuals were selected for molecular genetic studies. Two families (MR3, MR4) showed linkage to already know NS-ARMR loci. Fifteen affected and 10 unaffected individuals from six (MR2, MR6, MR7, MR8, MR9 and MR11) families were genotyped by using Affymetrix 5.0 or 6.0 single-nucleotide polymorphism (SNP) microarrays. SNP microarray data was visually inspected by dChip and genome-wide homozygosity analysis was performed by HomozygosityMapper. Additional mapping was performed (to exclude false-positive regions of homozygosity called by HomozygosityMapper and dChip) on all available affected and unaffected members in seven NS-ARMR families, using microsatellite markers. In this manner we were able to map three novel loci in seven different families originating from different areas of Pakistan. Two families (MR2, MR5) showed linkage on chromosome 2p25.3-p25.2. Three families (MR7, MR8, and MR9) that have been collected from the same village and belong to the same clan were mapped on chromosome 9q34.3. MR11 maps to a locus on 9p23-p13.3. Analysis of MR6 showed two positive loci, on chromosome 1q23.2-q23.3 and 8q24.21-q24.23. Genotyping in additional family members has so far narrowed, but not excluded the 1q locus. In summary, through this study we have identified three new loci for NS-ARMR, namely MRT14, 15 and 16.

29 citations

Journal ArticleDOI
TL;DR: In this paper, the authors discussed the optimization of entropy generation on a radiative MHD fluid flow combined with CCHF model in two instances i.e., hybrid nanofluid(PEG−Water+ZrO2+MgO2) and mono-nodes (two) revolving disks with chemical reaction.

29 citations

Journal ArticleDOI
TL;DR: With the simple technique presented here, large-scale industrial production of CH-NPs is possible, and they can be used to develop pesticides highly effective against mosquito vectors of high medical and veterinary importance, as well as for plant tissue culture and food packaging applications.
Abstract: In this study, chitosan nanoparticles (CH-NPs) were synthesized using Penaeus semisulcatus shrimp shells and characterized using UV–Vis and FT-IR spectroscopy, as well as XRD and HR-TEM analyses. CH-NPs were investigated for growth inhibition properties against selected species of bacterial and fungal pathogens, showing performances higher or comparable over positive controls, respectively. Furthermore, CH-NPs were tested on three important mosquito vectors, achieving LC50 from 12.27 to 14.62 µg/ml. In addition, CH-NPs were evaluated using in vitro plant tissue culture by rooting gel method, to enhance the vegetative growth of the medicinal plant species Sphaeranthus indicus. With the simple technique presented here, large-scale industrial production of CH-NPs is possible. They can be used to develop pesticides highly effective against mosquito vectors of high medical and veterinary importance, as well as for plant tissue culture and food packaging applications.

29 citations

Journal ArticleDOI
TL;DR: Most microorganisms are used as a foundation of bioplastic production and also used for the decomposition of plastics Although bioplastics production is considered expensive than artificial plastic, it has many advantages over them.

29 citations


Authors

Showing all 4481 results

NameH-indexPapersCitations
Rajesh Kumar1494439140830
Sanjeev Kumar113132554386
Rakesh Kumar91195939017
Praveen Kumar88133935718
V. Balasubramanian5445710951
Ghulam Murtaza53100514516
Marimuthu Govindarajan522126738
Muhammad Akram433937329
Ghulam Abbas404396396
Shivaji H. Pawar391684754
Muhammad Afzal381184318
Deepankar Choudhury351993543
Hidayat Hussain343165185
Hitesh Panchal341523161
Sher Singh Meena331873547
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202227
2021991
2020797
2019477
2018486
2017437