IMPAIRED OBJECT RECOGNITION MEMORY AND ACETYLCHOLINESTERASE ACTIVITY IN ANIMAL MODEL OF POST-TRAUMATIC STRESS DISORDER-RESTORED BY ECLIPTA ALBA LINN. A DIETARY HERB.

ABSTRACTObjective: Acetylcholinesterase (AChE) inhibitors are important therapeutic targets to treat memory impairment caused due to stress, post-traumaticstress disorder (PTSD) results from traumatic stress exposure. Cognition and mood symptoms can begin or worsen after the traumatic event. In thisstudy, we aimed to evaluate the role of Eclipta alba Linn. as an antistressor, AChE inhibitor, and on object recognition memory in an animal model of PTSD.Methods: Adult male Wistar albino rats were randomly divided into four groups: Control, chronic unpredictable stress (CUS) (30 days), CUS+ethanolicextract of E. alba (EEEA) (200 mg/kg body weight), and EEEA (200 mg/kg body weight) treatment groups and were assessed for novel objectrecognition task (NORT), plasma corticosterone, and AChE activity.Results: We found significant improvement in NORT (p<0.05) plasma corticosterone levels in stress group was significantly increased (p<00.05)which is resumed with EEEA treatment (p<0.05) AChE activity was found to be reduced after EEEA treatment.Conclusion: EEEA is found to possess cognitive enhancing activity in the animal model of PTSD.Keywords: Recognition memory,PTSD,Unpredictable stress,Eclipta alb

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Machine learning based fusion algorithm to perform multimodal summarization

Video summarization is a rapidly growing research field which finds its application in various commercial and personal interests due to the massive surge in the amount of video data available in the modern world. The proposed approach uses ResNet-18 for feature extraction and with the help of temporal interest proposals generated for the video sequences, generates a video summary. The ResNet-18 is a convolutional neural network with eighteen layers. The existing methods don’t address the problem of the summary being temporally consistent. The proposed work aims to create a temporally consistent summary. The classification and regression module are implemented to get fixed length inputs of the combined features. After this, the non-maximum suppression algorithm is applied to reduce the redundancy and remove the video segments having poor quality and low confidence-scores. Video summaries are generated using the kernel temporal segmentation (KTS) algorithm which converts a given video segment into video shots. The two standard datasets TVSum and SumMe are used to evaluate the proposed model. It is seen that the F-score obtained on TVSum and SumMe datasets are 56.13 and 45.06 respectively

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Impact of commonly used agrochemicals on different fungal and bacterial bio-agents

Not AvailableFour fungal bio-agents viz., Trichoderma harzianum, T. viride, Paecilomyces lilacinus and Pochonia chlamydosporia and four bacterial bio-agents viz., Bacillus subtilis, B. pumilus, B. amyloliquefaciens and Pseudomonas fluorescens were tested for their in vitro compatibility with five fungicides (carbendazim, captan, mancozeb, copper oxychloride and fenamidone + mancozeb) and three pesticides (carbofuran, metam sodium and acephate) at recommended doses of the pesticides and fungicides. The results revealed that carbendazim and metam sodium were highly toxic to all fungal bio-agents and copperoxychloride, mancozeb, fenamidone + mancozeb and metam sodium were highly toxic to all bacterial bio agents. T. harzianum exhibited more tolerance to captan than T. viride, P. chlamydosporia and P. lilacinus. All fungal bio-agents exhibited tolerance to carbofuran and acephate except P. chlamydosporia. Carbendazim was comparatively safer to B. subtilis, P. fluorescens and B. pumilus, but more toxic to B. amyloliquefaciens. P. fluorescens was relatively tolerant and Bacillus spp. was more sensitive to carbofuran and acephate. This study suggests that it is safe to integrate fungal bio-agents with copper oxychloride, carbofuran and acephate and bacterial bio-agents (except B. amyloliquefaciens) with carbendazimin integrated pest management (IPM) programmes.ICAR-IIH