Search

Your search keyword '"Shinde, Anil"' showing total 428 results
Start Over Author "Shinde, Anil"
428 results on '"Shinde, Anil"'

6. Samelisant (SUVN-G3031), a histamine 3 receptor inverse agonist: Results from the phase 2 double-blind randomized placebo-controlled study for the treatment of excessive daytime sleepiness in adult patients with narcolepsy

Author

Nirogi, Ramakrishna, Shinde, Anil, Goyal, Vinod Kumar, Ravula, Jyothsna, Benade, Vijay, Jetta, Satish, Pandey, Santosh Kumar, Subramanian, Ramkumar, Chowdary Palacharla, Veera Raghava, Mohammed, Abdul Rasheed, Abraham, Renny, Dogiparti, Dhanunjay Kumar, Kalaikadhiban, Ilayaraja, Jayarajan, Pradeep, Jasti, Venkat, and Bogan, Richard K.

Published
2024
Full Text
View/download PDF

7. Neutron-Irradiation Induced Magnetization and Persistent Defects at High Temperatures in Graphite

Author

Mittal, Ranjan, Gupta, Mayanak K., Mishra, Sanjay K., Wajhal, Sourabh, Babu, Peram Delli, Singh, Baltej, Shinde, Anil Bhimrao, Krishna, Poluri Siva Rama, Singhal, Rakesh K., Ranjan, Rakesh, and Chaplot, Samrath Lal

Subjects
Condensed Matter - Materials Science
Abstract

Structural as well as magnetization studies have been carried out on graphite samples irradiated by neutrons over 50 years in the CIRUS research reactor at Trombay. Neutron diffraction studies reveal that the defects in irradiated graphite samples are not well annealed and remain significant up to high temperatures much greater than 653 K where the Wigner energy is completely released. We infer that the remnant defects may be intralayer Frenkel defects, which do not store large energy, unlike the interlayer Frenkel defects that store the Wigner energy. Magnetization studies on the irradiated graphite show ferromagnetic behavior even at 300 K and a large additional paramagnetic contribution at 5 K. Ab-initio calculations based on the spin-polarized density-functional theory show that the magnetism in defected graphite is essentially confined on to a single 2-coordinated carbon atom that is located around a vacancy in the hexagonal layer., Comment: 5 Pages, 4 Figures, Supplementary materials

Published
2020

8. Defect topology and annihilation by cooperative cascading movement of atoms in highly neutron irradiated graphite

Author

Mittal, Ranjan, Gupta, Mayanak K., Mishra, Sanjay K., Wajhal, Sourabh, Poswal, Himanshu K., Singh, Baltej, Shinde, Anil Bhimrao, Krishna, Poluri Siva Rama, Babu, Peram Delli, Mishra, Ratikant, Sastry, Pulya Umamaheswara, Ranjan, Rakesh, and Chaplot, Samrath Lal

Subjects
Condensed Matter - Materials Science
Abstract

Graphite has been used as neutron moderator or reflector in many nuclear reactors. The irradiation of graphite in a nuclear reactor results in a complex population of defects. Heating of the irradiated graphite at high temperatures results in annihilation of the defects with release of an unusually large energy, called the Wigner energy. From various experiments on highly irradiated graphite samples from CIRUS reactor at Trombay and ab-initio simulations, we have for the first time identified various 2-, 3- and 4-coordinated topological structures in defected graphite, and provided microscopic mechanism of defect annihilation on heating and release of the Wigner energy. The annihilation process involves cascading cooperative movement of atoms in two steps involving an intermediate structure. Our work provides new insights in understanding of the defect topologies and annihilation in graphite which is of considerable importance to wider areas of graphitic materials including graphene and carbon nanotubes., Comment: 23 Pages, 6 Figures, Supplementary Materials

Published
2020
Full Text
View/download PDF

20. Samelisant (SUVN-G3031), a potent, selective and orally active histamine H3 receptor inverse agonist for the potential treatment of narcolepsy: pharmacological and neurochemical characterisation

Author

Nirogi, Ramakrishna, Benade, Vijay, Daripelli, Saivishal, Subramanian, Ramkumar, Kamuju, Venkatesh, Bhyrapuneni, Gopinadh, Muddana, Nageswara Rao, Mekala, Venkat Reddy, Petlu, Surendra, Jayarajan, Pradeep, Badange, Rajesh, Shinde, Anil, and Jasti, Venkat

Published
2021
Full Text
View/download PDF

21. Absorption, distribution, metabolism, excretion (ADME), drug-drug interaction potential and prediction of human pharmacokinetics of SUVN-G3031, a novel histamine 3 receptor (H3R) inverse agonist in clinical development for the treatment of narcolepsy

Author

Nirogi, Ramakrishna, Bhyrapuneni, Gopinadh, Muddana, Nageswara Rao, Manoharan, Arunkumar, Shinde, Anil K, Mohammed, Abdul Rasheed, Padala, Nagasurya Prakash, Ajjala, Devender Reddy, Subramanian, Ramkumar, and Palacharla, Veera Raghava Chowdary

Published
2020
Full Text
View/download PDF

22. Safety, Tolerability, and Pharmacokinetics of SUVN-G3031, a Novel Histamine-3 Receptor Inverse Agonist for the Treatment of Narcolepsy, in Healthy Human Subjects Following Single and Multiple Oral Doses

Author

Nirogi, Ramakrishna, Mudigonda, Koteshwara, Bhyrapuneni, Gopinadh, Muddana, Nageswara Rao, Shinde, Anil, Goyal, Vinod Kumar, Pandey, Santosh Kumar, Mohammed, Abdul Rasheed, Ravula, Jyothsna, Jetta, Satish, and Palacharla, Veera Raghava Chowdary

Published
2020
Full Text
View/download PDF

25. Masupirdine (SUVN‐502) for the Potential Treatment of Agitation in Patients with Dementia of the Alzheimer’s Type: Preliminary Efficacy and Phase‐3 Study Design

Author

Nirogi, Ramakrishna, primary, Abraham, Renny, additional, Ravula, Jyothsna, additional, Jetta, Satish, additional, Benade, Vijay, additional, Shinde, Anil K, additional, Rasheed, Mohammed Abdul, additional, Badange, Rajesh Kumar, additional, Goyal, Vinod Kumar, additional, Palacharla, Veera Raghava Chowdary, additional, Subramanian, Ramkumar, additional, and Jayarajan, Pradeep, additional

Published
2023
Full Text
View/download PDF

43. Synthesis and SAR of Imidazo[1,5-a]pyridine derivatives as 5-HT4 receptor partial agonists for the treatment of cognitive disorders associated with Alzheimer's disease

Author

Nirogi, Ramakrishna, Mohammed, Abdul Rasheed, Shinde, Anil K., Bogaraju, Narsimha, Gagginapalli, Shankar Reddy, Ravella, Srinivasa Rao, Kota, Laxman, Bhyrapuneni, Gopinadh, Muddana, Nageswara Rao, Benade, Vijay, Palacharla, Raghava Chowdary, Jayarajan, Pradeep, Subramanian, Ramkumar, and Goyal, Vinod Kumar

Published
2015
Full Text
View/download PDF

46. Disease detection on pomegranate fruits using machine learning approach.

Author

Khatawkar, Shrihari, Jadhav, Supriya, Sapate, Suhas, Patil, Pallavi, and Shinde, Anil

Subjects
MACHINE learning, POMEGRANATE, DIGITAL image processing, FRUIT, EARLY diagnosis, FRUIT rots
Abstract

Traditional mechanisms for manual detection of disease on pomegranate is tedious and time consuming task leading to further delay in the treatment of early stage diseases. Diseases not detected and treated in time leads to the loss of quality and quantity resulting in the great nutritional, economic, and postharvest losses to both, the farmers and nation. Automatic detection of diseases in early stage is very important to prevent all the losses. The existing disease detection solutions based on digital image processing and machine learning are not transformed into the practically applicable technology due to unsatisfactory efficiency and ease of operations. The problems such as insufficient datasets, consideration of multiple diseases at a time etc. are the main hurdles on the way to improved performance. The proposed system investigates the machine learning based approach for detection and classification of two important major diseases on pomegranates such as Fruit rot and Scab in its early state. The proposed work consists of dataset creation, image pre-processing, segmentation, feature extraction, classification phases. The fruit image is first segmented to separate out the suspicious lesions of probable disease which is used to extract the textural features using GLCM method. SVM classifier is then employed to classify the suspicious lesions into either diseases or healthy. The dataset consists of 1000 images which include 250 images with "fruit rot" disease, 250 images with "scab" disease and 500 images of healthy fruits. The performance in terms of accuracy of the classifier is then evaluated using confusion matrix. The experimental analysis of the classifier shows the accuracy of 83 % for the disease detection. The proposed method being simple and efficient can be used as a part of smart phone-based application for early detection of diseases on pomegranates. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

47. Effects of Masupirdine (SUVN‐502) on Agitation/Aggression and Psychosis in Patients with Probable Alzheimer’s Disease: A Post Hoc Analysis

Author

Nirogi, Ramakrishna, primary, Jayarajan, Pradeep, additional, Abraham, Renny, additional, Tadiparthi, Jayaprakash, additional, Benade, Vijay, additional, Shinde, Anil K, additional, Rasheed, Mohammed Abdul, additional, Badange, Rajesh Kumar, additional, Goyal, Vinod Kumar, additional, Palacharla, Veera Raghava Chowdary, additional, Ravulu, Jyothsna, additional, Jetta, Satish, additional, and Subramanian, Ramkumar, additional

Published
2022
Full Text
View/download PDF

49. Effect of Concurrent Use of Memantine on The Efficacy of Masupirdine (SUVN‐502): A Post‐hoc Analysis of a Phase‐2 Randomized Placebo‐Controlled Study

Author

Goyal, Vinod Kumar, primary, Pandey, Santosh Kumar, additional, Benade, Vijay, additional, Shinde, Anil K, additional, Rasheed, Mohammed Abdul, additional, Badange, Rajesh Kumar, additional, Palacharla, Veera Raghava Chowdary, additional, Ravulu, Jyothsna, additional, Jetta, Satish, additional, Subramanian, Ramkumar, additional, and Nirogi, Ramakrishna, additional

Published
2022
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results