8 research outputs found
Assessment of variability and performance of new landraces of small cardamom (Elettaria cardamomum Maton)
Even though fourteen improved varieties of small cardamom have been released in India so far, many of the farmers in thetraditional cardamom tracts still use farmer selected landraces as planting material and hence the importance of landraces is notquestionable. Four new landraces of small cardamom identified from Idukki district of Kerala State of India namely Pulari,Pappalu, Kalarikkal Bold and Arjun were evaluated along with Njallani Green Gold (popular landrace) and ICRI-2 (improvedvariety released by Indian Cardamom Research Institute) for growth, yield and quality characters. Eight growth characters, eightyield characters and eleven quality characters were analyzed for the purpose and all of them except two yield characters showedstatistically significant variation indicating the occurrence of significant genotypic difference between these landraces. A comparativeanalysis of overall performance of the four landraces was also carried out and the results showed that Pappalu, Kalarikkal Boldand Pulari performed significantly superior to Njallani Green Gold and ICRI-2, the controls. Pappalu showed 132.22 per centincrease in yield over Njallani Green Gold and 158.02 per cent over ICRI-2. The cumulative performance indices of all the newlandraces were worked out and the landrace Pappalu had the highest performance index of 30.06 followed by Kalarikkal Bold(27.45), Arjun (25.57) and Pulari (24.14). All the four new landraces have been found to be superior to ICRI-2 while Pappalu,Kalarikkal Bold and Pulari showed superiority over Njallani Green Gold, under preliminary evaluation
Insights into Peptide Mediated Antibiofilm Treatment in Chronic Wound: A Bench to Bedside Approach
Chronic wound biofilm infections are a threat to the population with respect to morbidity
and mortality. The presence of multidrug-resistant bacterial pathogens in chronic wound renders
the action of antibiotics and antibiofilm agents difficult. Therefore an alternative therapy is essential
for reducing bacterial biofilm burden. In this scenario, the peptide-based antibiofilm therapy
for chronic wound biofilm management seeks more attention. A synthetic peptide with a broad
range of antibiofilm activity against preformed and established biofilms, having the ability to kill
multispecies bacteria within biofilms and possessing combinatorial activity with other antimicrobial
agents, provides significant insights. In this review, we portray the possibilities and difficulties
of peptide-mediated treatment in chronic wounds biofilm management and how it can be clinically
translated into a product.
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Protection of mouse brain from paracetamol-induced stress by Centella asiatica methanol extract
Leveraging Clinically Relevant Biometric Constraints To Supervise A Deep Learning Model For The Accurate Caliper Placement To Obtain Sonographic Measurements Of The Fetal Brain
Multiple studies have demonstrated that obtaining standardized fetal brain
biometry from mid-trimester ultrasonography (USG) examination is key for the
reliable assessment of fetal neurodevelopment and the screening of central
nervous system (CNS) anomalies. Obtaining these measurements is highly
subjective, expertise-driven, and requires years of training experience,
limiting quality prenatal care for all pregnant mothers. In this study, we
propose a deep learning (DL) approach to compute 3 key fetal brain biometry
from the 2D USG images of the transcerebellar plane (TC) through the accurate
and automated caliper placement (2 per biometry) by modeling it as a landmark
detection problem. We leveraged clinically relevant biometric constraints
(relationship between caliper points) and domain-relevant data augmentation to
improve the accuracy of a U-Net DL model (trained/tested on: 596 images, 473
subjects/143 images, 143 subjects). We performed multiple experiments
demonstrating the effect of the DL backbone, data augmentation,
generalizability and benchmarked against a recent state-of-the-art approach
through extensive clinical validation (DL vs. 7 experienced clinicians). For
all cases, the mean errors in the placement of the individual caliper points
and the computed biometry were comparable to error rates among clinicians. The
clinical translation of the proposed framework can assist novice users from
low-resource settings in the reliable and standardized assessment of fetal
brain sonograms.Comment: Accepted for presentation at 2022 IEEE 19th International Symposium
on Biomedical Imaging (ISBI
Towards a device-independent deep learning approach for the automated segmentation of sonographic fetal brain structures: a multi-center and multi-device validation
Abstracts of National Conference on Biological, Biochemical, Biomedical, Bioenergy, and Environmental Biotechnology
This book contains the abstracts of the papers presented at the National Conference on Biological, Biochemical, Biomedical, Bioenergy, and Environmental Biotechnology (NCB4EBT-2021) Organized by the Department of Biotechnology, National Institute of Technology Warangal, India held on 29–30 January 2021. This conference is the first of its kind organized by NIT-W which covered an array of interesting topics in biotechnology. This makes it a bit special as it brings together researchers from different disciplines of biotechnology, which in turn will also open new research and cooperation fields for them.
Conference Title: National Conference on Biological, Biochemical, Biomedical, Bioenergy, and Environmental BiotechnologyConference Acronym: NCB4EBT-2021Conference Date: 29–30 January 2021Conference Location: Online (Virtual Mode)Conference Organizer: Department of Biotechnology, National Institute of Technology Warangal, Indi
Proceedings of the 2nd International Conference on Modern Trends in Engineering Technology and Management
This proceeding contains articles on the various ideas of the academic community presented at The 2nd International Conference on Modern Trends in Engineering Technology and Management (ICMEM 2023) organized by the Sree Narayana Institute of Technology Adoor-691554, Kerala, India on 4th-6th May 2023. ICMEM 2023 aimed to provide a forum for the exchange of ideas, issues, challenges, discoveries, opportunities, and applications of Modern Trends in Engineering Technology and Management. The ever-changing scope and rapid development of science and technology generate new problems, questions, and curiosity, necessitating the exchange of brilliant ideas and raising awareness of this vital research field in a variety of directions.
Conference Title: 2nd International Conference on Modern Trends in Engineering Technology and ManagementConference Acronyms: ICMEM 2023Conference Date: 4th-6th May 2023Conference Location: Hybrid ModeConference Organizer: SNIT Adoor, Kerala, Indi
