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PsychologyDepartment of Psychology, SRM University, AP-Andhra Pradesh organised a guest lecture on the topic “Prospective Memory and Aging in Medication Adherence: An Experimental Investigation” on January 27, 2022, from 3:30 to 4:30 pm. Dr Azizuddin Khan, Professor, Department of Humanities and Social Sciences, Indian Institute of Technology-Mumbai, attended the session as the eminent speaker.

The session started with a brief introduction of Prof Khan by Mrs Ayesha Parveen Haroon, Lecturer, Department of Psychology. Thereafter, Prof Khan delivered his lecture wherein he deliberated upon the medical adherence, aging and prospective memory as well as the factors affecting medical adherence. Specifically, he emphasised the effect of memory and intellectual abilities on medical adherence. Following Prof Khan’s presentation, the questions raised by the audience were communicated to Prof Khan by Dr Aehsan Ahmad Dar, Assistant Professor, Department of Psychology. Prof Khan provided interesting insights on the questions raised. The programme ended with the vote of thanks delivered by Dr Ninad Patwardhan, Assistant Professor and Faculty Coordinator, Department of Psychology.

Budget Panel Discussion 2022-23

The Department of Economics of SRM University-AP, Andhra Pradesh, conducted a Panel Discussion on February 09, 2022, for the much needed and relevant in-depth analysis of the Union Budget proposed by the Finance Minister in the parliament on February 01, 2022.

Professor Bandi Kamaiah was the moderator of the event, and Dr Anandarao Suvvari, the faculty coordinator of the Department of Economics in the University, organised this discussion, inviting four eminent public finance economists of India, Prof N R Bhanu Murthy, Vice-Chancellor, BASE University, Bengaluru; Prof K R Shanmugam, Director, Madras School of Economics, Chennai; Prof K Gayathri, Professor, Institute for Social and Economic Change (ISEC), Bengaluru; Dr Shri Hari Naidu, Economist, National Institute of Public Finance and Policy (NIPFP), New Delhi. The co-convenors of the event were Dr Ghanshyam Pandey, Dr Manzoor Hassan Malik, Dr Kamal Sai Erra, Dr Hari Venkatesh from the Department of Economics SRM-AP.

The discussion started with a brief overview and essence of the Union budget by Dr Anandarao Suvvari, followed by Prof Bandi Kamaiah. Then first panellist Prof N R Bhanu Murthy, who our Indian Finance Minister also quoted, spoke about how the current budget is a continuation of the previous budget and emphasised more on the capital expenditure, which is the route to growth. He highlighted that the government should bring efficiency in public expenditure and expressed that the public policymakers side-lined the public debt number to GDP ratio at both central and state levels. An issue identified by Prof Murthy was bringing in many commodities under the customs tariff line and how doing this will have a negative impact on the exports. Further, he mentioned the ignorance towards the health and education sectors by a reduction in the allocation of expenditure for the same.

The second panellist Prof K R Shanmugam, gave a very detailed look at the budget, sector by sector, pointing out the benefits and the concerns related to each of them. He gave us a brief look at how the Indian economy has been doing for the past few years and gave an analysis taking this into consideration and stated that the budget had provided necessary fiscal stimuli through an increase in capital expenditure for the revival of the economy.

The third panellist Prof K Gayathri highlighted the philosophy of policy implications of budget and the need for a continuous process for analysing it. She also focused on the need for scientificity for estimates and the need for a sustainable approach for the budget. She pointed out that the current budget was future-looking in line with the vision for India 100 and that it put thorough emphasis on capacity building inclusive development by involving all stakeholders and modern infrastructure while expressing concern over effective implementation of policies.

The final panellist, Dr Shri Hari Naidu, discussed the revenue side of the budget thoroughly while focusing on the new taxation regime, other and legitimising crypto assets and digital Indian currency. In addition to this, Dr Naidu commented on the budget that the tax GDP ratio has been stagnant for the past two decades also, it has not been addressed in the budget, and despite the fact that there were a lot of tax reforms, the tax bases needed to be expanded.

After individual reviews by the panellists, questions posed by the students and the co-convenors were answered, followed by an interactive and engaging discussion among panellists, moderator, convenor and co-convenors on various issues spanning from the way of analysing the budget, trade-offs between debt and capital expenditure, debt sustainability, control mechanisms, the process of allocation, outcome evaluation or impact of the budget and the need for reality and effectiveness of planned budget on the ground level.

The session, after a thorough discussion on the union budget, was concluded by a vote of thanks proposed by Asst. Prof. Dr Hari Venkatesh to the esteemed panellists, moderator, convenor, co-convenors and all the people who made this session successful for contributing their precious time and valued efforts.

“Progress in Alternative Strategies to Combat Antimicrobial Resistance: Focus on Antibiotics” is a paper authored by Prof Jayaseelan Murugaiyan, Professor & Head, Department of Biological Sciences at SRM University-AP and his research scholar Ms Saranya Adukkadukkam, in Antibiotics Journal, having an impact factor of 4.639. It is a remarkable achievement that our university served as the first and the corresponding authors of this paper published in association with “Global AMR Insights Ambassadors Network”. A total of 21 co-authors from 13 countries (India, UK, France, The Netherlands, Switzerland, Italy, Spain, Ukraine, Lebanon, Egypt, Uganda, Bangladesh, and Nigeria) and six Indian universities (including SRM AP) participated in this work.

Antimicrobial resistance (AMR) – the ability of microorganisms to survive antimicrobials – is a global healthcare concern. AMR contributes to 1.27 million deaths among the 4.95 million deaths associated with bacterial AMR. If no control measures are taken, it is estimated that by 2050, it will claim the lives of 300 million people. The rise of these “superbug bacteria’s” – means that trivial medical interventions will soon become once again high-risk since no efficient antimicrobial chemotherapy is available. It is, therefore, crucial to understand the current situation and identify alternatives to combat the emergence and spread of antimicrobial resistance. This paper comprehensively discusses the alternative approaches that can be effectively utilised to combat AMR and, at the same time, without inducing further resistance among the pathogens. The paper has great social implications in making society aware of the scenario and encouraging the researchers to focus on alternative strategies to combat AMR.

Abstract of the paper: Antibiotic resistance, and, in a broader perspective, antimicrobial resistance (AMR), continues to evolve and spread beyond all boundaries. As a result, infectious diseases have become more challenging or even impossible to treat, leading to an increase in morbidity and mortality. Despite the failure of conventional, traditional antimicrobial therapy, in the past two decades, no novel class of antibiotics has been introduced. Consequently, several novel alternative strategies to combat these (multi-) drug-resistant infectious microorganisms have been identified. The purpose of this review is to gather and consider the strategies that are being applied or proposed as potential alternatives to traditional antibiotics. These strategies include combination therapy, techniques that target the enzymes or proteins responsible for antimicrobial resistance, resistant bacteria, drug delivery systems, physicochemical methods, and unconventional techniques, including the CRISPR-Cas system. These alternative strategies may have the potential to change the treatment of multi-drug-resistant pathogens in human clinical settings.

Global AMR Insight Ambassador Network: AMR Insights, an international network-based organisation interacting with professionals around the globe: in Human and Veterinary Health, Agri-food and Environment, was set up in 2017 following an in-depth feasibility study towards a new information platform on AMR. It mainly focuses on informing, educating and connecting people with the aim to curb antimicrobial resistance. Prof Jayaseelan Murugaiyan and Ms Saranya Adukkadukkam are members of the Global AMR Insights Ambassador Network.

Ms Saranya Adukkadukkam, the co-author from SRM AP says:

The guidance of Prof Jayaseelan Murugaiyan is the pillar of my research. His support and passion for research always encourage me. He gives importance to translational research and motivates me to stand unique in the field. He shows me a path where I can serve the people through research. Foreseeing my future as a scientist, he guides me to more opportunities to collaborate with international scientists. I feel proud of my mentor Prof Jayaseelan Murugaiyan for letting me fly. Also, I thank SRM University-AP for providing generous fellowship, excellent research facilities and ambience to carry out the research.

Vision-based fall detection AI

Human-like care is difficult to replicate. Due to the lack of a reliable vision-based fall detection AI, it is often more effective to assign a lot of manpower towards vision-based detections that have not been efficiently implemented.

Ms Inturi Anita Rani, Research Scholar in the Department of Computer Science Engineering, working with her supervisor, Dr V. M. Manikandan, has worked on a paper titled, “A Novel Vision-Based Fall Detection Scheme using Keypoints of Human-Skeleton with Long Short-term Memory Network” in the Arabian Journal for Science and Engineering published by Springer with an Impact Factor of 2.33.

Abstract of the research:

Humans are skilled at visually recognizing and classifying actions in videos, but it’s tough to automate this process. Human action detection in videos is useful in applications like automated surveillance, assisted living, human-computer interaction, content-based video retrieval, and video summarization. The ability to recognize atomic actions like “walking,” “bending,” and “falling” is critical for activity analysis when monitoring elderly people’s daily activities. Our paper presents a new promising solution for fall detection using vision-based approaches. In this approach, we analyse the human joint points which are the prime motion indicators. A set of keypoints of the subject are acquired by applying the AlphaPose pre-trained network. These keypoints are inferred to be the joint points of the subject. The acquired keypoints are processed through a framework of convolutional neural network (CNN) layers. Here, the spatial correlation of the keypoints is analysed. The long-term dependencies are then preserved with the help of long short-term memory (LSTM) architecture. Our system detects five types of falls and six types of daily living activities. We used the UP-FALL detection dataset for validating our fall detection system and achieved commendable results when compared to the state-of-the-art approaches. For comparison, we employed the OpenPose network for keypoint detection. It is inferred from the results that the AlphaPose network is more precise in keypoint detection.

About the research paper:

In this paper, the author proposes a vision-based system that is capable of detecting various types of falls accurately through video processing with the help of a machine learning approach.

Implementation of the research:

The proposed scheme can be used to monitor the activity of elderly people and if any unusual falls happen, the information can be shared with caretakers to ensure emergency services.

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