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Ramesh, K. V.
- Wound Healing Profile of Sauropus androgynus in Wistar Rats
Abstract Views :521 |
PDF Views:450
Authors
Source
Journal of Natural Remedies, Vol 9, No 2 (2009), Pagination: 159-164Abstract
Objective: To evaluate the effect of Sauropus androgynus on wound healing. Materials and Methods: Excision and incision wound models were used to evaluate the wound-healing activity of 5% Sauropus androgynus on Wistar rats of either sex. Results: Sauropus androgynus extract promoted the wound healing activity significantly in both wound models studied, while no action was seen with ointment base. It augmented wound contraction significantly (P<0.001), re-epithelization very significantly (P<0.0001) and increase in wound breaking strength (P<0.001). Histological evaluation of wound tissue showed abundant collegenation, fibroblast and lesser macrophages in animal treated with 5% Sauropus androgynus when compared to control and ointment base. Conclusion: Extract of Sauropus androgynus promotes wound-healing activity.Keywords
Sauropus Androgynus, Wound Healing, Wound Re-epithelization, Wound ContractionFull Text
- An Analytical Study of Causes of Death in Fall from Height Cases from Gandhi Medical College & Hospital Mortuary, Hyderabad from 2006 to 2008 year
Abstract Views :285 |
PDF Views:0
Authors
Affiliations
1 Department of Forensic Medicine Kakathiya Medical College, Warangal, Andhra Pradesh, IN
2 Department of Forensic Medicine Melmaruvathur Adi Parasakthi Institute of Medical Sciences & Research, Melmaruvathur, Tamilnadu - 603319, IN
1 Department of Forensic Medicine Kakathiya Medical College, Warangal, Andhra Pradesh, IN
2 Department of Forensic Medicine Melmaruvathur Adi Parasakthi Institute of Medical Sciences & Research, Melmaruvathur, Tamilnadu - 603319, IN
Source
Indian Journal of Forensic Medicine & Toxicology, Vol 6, No 2 (2012), Pagination: 51-52Abstract
Falling of people from height is not uncommon. But fatal falls are rare to occur. Incidences of falls resulting in death can be accidental, suicidal or homicidal. Many times people fall with minor injuries. When bodies are brought for autopsy it is sometimes unclear whether the injuries are due to a fall from a height or due to blunt trauma from other causes, especially when the bodies are found near buildings with no eyewitnesses available. The aim was to assess the pattern of injuries and identify features helpful in discriminating between these and injuries due to blunt trauma from other causes.Keywords
Fall, Height, Head Injury, Fracture, Intracranial Hemorrhage
References
- Gurdjian ES 1975.Impact head injury springfield, Illinois: Charles C. Thomas 279
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- P.C.Dikshit, 1st edition. Fall from height, Textbook of forensic medicine & toxicology , peepee publishers, New Delhi, 229-232
- K.S.Narayana Reddy 27th edition. Falls from height, The essential of forensic medicine & toxicology, medical book company, Hyderabad, 241-244
- Krishnan & Vij, 3rd Edition, Regional Injuries, Textbook of forensic medicine & toxicology, Elsevier, Saurabh Printers, Noida, 412-430
- Apurba Nandy, 2nd edition. Regional Injuries, Principles of forensic medicine, , New central book agency pvt ltd, 295-309
- PV Guharaj & M.R.Chandran, 2nd edition, Regional Injuries, Forensic Medicine, , Orient Longman pvt ltd, Hyderabad, 130 -155
- MP-TRACS Crops
Abstract Views :327 |
PDF Views:92
Authors
P. Goswami
1,
K. V. Ramesh
1
Affiliations
1 CSIR Centre for Mathematical Modelling and Computer Simulation (Repositioned as CSIR-4PI), NAL Wind Tunnel Road, Bengaluru Campus, Bengaluru 560 037, IN
1 CSIR Centre for Mathematical Modelling and Computer Simulation (Repositioned as CSIR-4PI), NAL Wind Tunnel Road, Bengaluru Campus, Bengaluru 560 037, IN
Source
Current Science, Vol 108, No 5 (2015), Pagination: 770-771Abstract
No Abstract.Full Text
- A Weather-Based Forecast Model for Capsule Rot of Small Cardamom
Abstract Views :260 |
PDF Views:78
Authors
Prashant Goswami
1,
Renu Goyal
1,
E. V. S. Prakasa Rao
1,
K. V. Ramesh
1,
M. R. Sudarshan
2,
D. Ajay
2
Affiliations
1 CSIR Centre for Mathematical Modelling and Computer Simulation, Wind Tunnel Road, Bangalore 560 037, IN
2 Indian Cardamom Research Institute, Kailasanadu (P.O), Myladumpara 685 553, IN
1 CSIR Centre for Mathematical Modelling and Computer Simulation, Wind Tunnel Road, Bangalore 560 037, IN
2 Indian Cardamom Research Institute, Kailasanadu (P.O), Myladumpara 685 553, IN
Source
Current Science, Vol 107, No 6 (2014), Pagination: 1013-1019Abstract
Small cardamom is an economically important spice crop. However, cardamom is susceptible to several diseases that significantly reduce yield. Proactive prevention of these diseases based on advance warning can enhance the efficiency of disease control and reduce environmental load of pesticides. Many of these diseases are governed by weather variables (for example, through control of fungal growth). This work presents a disease (capsule rot of cardamom) forecast model based on a set of meteorological variables.While no single weather variable provides successful simulation, an optimal combination of weather variables provides sufficient skill for advance warning of the disease.Keywords
Capsule Rot Disease, forecasting, Meteorological Variables, Small Cardamom.Full Text
- Scout Robot for Surveillance
Abstract Views :115 |
PDF Views:0
Authors
Affiliations
1 Department of ECE, Cambridge Institute of Technology, Bangalore, IN
1 Department of ECE, Cambridge Institute of Technology, Bangalore, IN
Source
International Journal of Engineering Research, Vol 5, No SP 5 (2016), Pagination: 1080-1083Abstract
Robots are used in almost every application as of today's world. The project is based on a robot used for surveillance. As there are many human casualties in for example war zones or any compromised situations where it is too risky to send a human which may endanger his life as well as the hostage. The robot comes in use in such times as we can operate it from a safer Distance from a base station. The robot transmits the live feed of information through a RF module. A night vision camera is used to encounter under low lights also. There are more add on applications for this project such as a bomb detector, signal jammer, metal detector etc.Keywords
Wireless, Robot, RF Module, Night Vision Camera.Full Text
- Product Predilection on Motor Cycle Industry in Prakasam District
Abstract Views :170 |
PDF Views:0
Authors
Affiliations
1 Department of Business Administration, Rise Krishna Sai Prakasm Group of Institutions, Ongole, IN
1 Department of Business Administration, Rise Krishna Sai Prakasm Group of Institutions, Ongole, IN
Source
Asian Journal of Management, Vol 8, No 3 (2017), Pagination: 781-784Abstract
Consumer of our life we are buying and consuming an incredible variety of goods and services. The seller’s market has disappeared and buyers market has come up. This led to paradigm shift of the manufacturer’s attention from product to consumer and specially focused on the consumer behavior. However, we all have different tastes, likes and dislikes and adopt different behavior patterns while making purchase decisions. Motorcycle is usually a luxury good in the developed world, where it is used mostly for recreation, as a lifestyle accessory or a symbol of personal identity many factors affect how we, as individuals and as societies, live, buy, and consume. There are three major types of motorcycles: street, off-road, and dual purpose. India is the 2nd largest two wheeler market in the world. It stands next only to China and Japan in terms of the number of two-wheelers produced and the sales of two-wheelers. Product predilection plays a crucial role for purchasing two wheelers, customers are some identical features regarding their two wheelers like mileage, comfort and stylish.Keywords
Two Wheelers, Mileage, Comfort, Product and Payments.References
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- Computational Studies of Mycorrhizal Protein: GiHsp60 and Its Interaction With Soil Organic Matter
Abstract Views :219 |
PDF Views:77
Authors
Dipti Mothay
1,
K. V. Ramesh
1
Affiliations
1 Department of Biotechnology, Jain (deemed to be University), School of Sciences, Jayanagar 3rd Block, Bengaluru 560 011, IN
1 Department of Biotechnology, Jain (deemed to be University), School of Sciences, Jayanagar 3rd Block, Bengaluru 560 011, IN
Source
Current Science, Vol 120, No 2 (2021), Pagination: 389-397Abstract
This study uses homology modelling and molecular docking approaches to explore the binding mechanism of glomalin-related soil protein from Rhizophagus irregularis (GiHsp60) with soil organic matter (SOM) and the role played by soil protein in the sequestration of common soil pollutants. Conserved domain analysis reveals that GiHsp60 belongs to chaperonin-like super-family having binding sites for ATP/Mg2+. Three-dimensional model of GiHsp60 was reasonably good based on reports generated by different validation servers. Docking results suggest that Van der Waals force is primarily responsible for the interaction between GiHsp60 and SOM. The study also reveals the role played by GiHsp60 in the sequestration of dif-ferent soil pollutants.Keywords
Docking Studies, Homology Modelling, Heat Shock Protein, Mycorrhizal Fungi, Soil Pollutants.Full Text
References
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- Crop production estimation using deep learning technique
Abstract Views :234 |
PDF Views:77
Authors
Affiliations
1 CSIR-Fourth Paradigm Institute, Bengaluru 560 037, India and Academy of Scientific and Innovative Research, Ghaziabad 201 002, India, IN
1 CSIR-Fourth Paradigm Institute, Bengaluru 560 037, India and Academy of Scientific and Innovative Research, Ghaziabad 201 002, India, IN
Source
Current Science, Vol 121, No 8 (2021), Pagination: 1073-1079Abstract
Reliable estimation of crop requirement and production in advance, help policy makers to adopt timely decision for trade as export–import, which is a basic building block to assure food security of a country. A powerful and robust algorithm is essential to predict the future demand and production of a particular crop for subsequent years. Deep learning methods are used successfully in solving different prediction problems of various applications. This study attempts to design an efficient AI based technique specifically using long short-term memory, a deep learning approach for estimation of crop production using crop production information of neighbouring countries, which are part of the South Asian monsoon system. Detailed sensitivity analysis is conducted to identify the optimal combination of crop production of neighbouring countries that directly and indirectly impact the crop production of India. Here, we designed and developed a predictive model for rice production of India with lead time of one year using deep learning technique. Along with that, as there are significant influences of local climate (i.e. rainfall data) on crop production, that information was also considered along with crop production of neighbouring countries. The results indicated that local and regional scale parameters jointly improve the prediction capability for future years. Capability of the proposed model was validated with export–import data on crop of India and neighbouring countries, and the validation result showed that our proposed technique was efficient and robust in natureKeywords
Artificial intelligence, crop production model, deep neural networks, long short-term memory, sensitivity analysis.Full Text
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