A Review of the Detection of Pulmonary Embolism from Computed Tomography Images Using Deep Learning Methods
Computed tomography; Convolutional neural network; Deep learning; Pulmonary embolism
Medical imaging has been evolving at a steady pace generating enormous amounts of health data, and the use of deep learning (DL) has helped a great deal in processing the detailed data. Deep learning-based methods are used in different medical imaging tasks to detect and diagnose diseases. For example, medical imaging is used to diagnose pulmonary embolism (PE), a commonly occurring cardiovascular disease with high mortality and prevalence and a low diagnosis rate. According to medical experts, PE has resulted in many deaths because of missed diagnoses for the medical condition. Another critical aspect of the disease is the possibility of permanent lung damage if left untreated. The use of deep learning methods in medical imaging is attributed to their ability to use learning-based methods to process enormous amounts of data. However, there are some unique challenges in the detection of PE. PE is not specific in its clinical presentation and is easily ignored, making it difficult to diagnose. Deep learning-based detection methods help a great deal in the disease detection in miniature sub-branches of the alveoli, and images with noisy artifacts easily compared to manual diagnosis. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Smart Innovation, Systems and Technologies, Vol-317, pp. 349-360.
Springer Science and Business Media Deutschland GmbH
Das M.P., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Rohini V., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India
Humanising History through Graphic Narratives: Exploring Stories of Home and Displacement from the North-East of India
Graphic Novels of North-East; Humanising Narratives
Literature from the North-East has responded to national, global and local issues, including questions on immigration and ethnic violence. They have resisted the colonial framework of representation and have invoked a sense of cultural and ethnic particularity (Sarma, 2013). This literature has adopted a multilingual register to respond to 1) patriarchal and 2) ethnonationalist discourses that have a forced and overbearing presence in the everyday lives of people and their stories. These writings evoke an ethno-critical approach that engages otherness and difference in such a way as to provoke an interrogation of and a challenge to our familiar realms of experience and is consistent with a recognition and legitimation of heterogeneity (Sarma, 2013). Select stories from First Hand (Volume II, 2018) - The Lonely Courtyard (2018), My Name is Jahanara (2018), and A Market Story (2019) by Kumdo Yumnam provide the heterogeneity that is characteristic of the works of literature emerging from the North-East, thereby resisting the homogeneity often indicative of the term 'North-East'. The analysis will explore how the selected texts negotiate textuality and visuality in a specific manner to present an archive of everyday life that humanises history. 2022 Aesthetics Media Services. All rights reserved.
Rupkatha Journal on Interdisciplinary Studies in Humanities, Vol-14, No. 2
https://doi.org/10.21659/rupkatha.v14n2.ne32 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134808669&doi=10.21659%2frupkatha.v14n2.ne32&partnerID=40&md5=f4049742b9a70df5cce271bd8842052c
Das R., Christ (Deemed to be University), Bangalore, India; Abhaya N.B., Christ (Deemed to be University), Bangalore, India
Efficient chemical fixation of CO2from direct air under environment-friendly co-catalyst and solvent-free ambient conditions
The capture and conversion of CO2from direct air into value-added products under mild conditions represents a promising step towards environmental remediation and energy sustainability. Consequently, herein, we report the first example of a Mg(ii)-based MOF exhibiting highly efficient fixation of CO2from direct air into value-added cyclic carbonates under eco-friendly co-catalyst and solvent-free mild conditions. The bifunctional MOF catalyst was rationally constructed by utilizing an eco-friendly Lewis acidic metal ion, Mg(ii), and a nitrogen-rich tripodal linker, TATAB. The MOF possesses a high BET surface area of 2606.13 m2g?1and highly polar 1D channels decorated with a high density of CO2-philic sites which promote a remarkably high CO2uptake of 50.2 wt% at 273 K with a high heat of adsorption value of 55.13 kJ mol?1. The high CO2-affinity combined with the presence of a high density of nucleophilic and Lewis acidic sites conferred efficient catalytic properties to the Mg-MOF for chemical fixation of CO2from direct air under environment-friendly mild conditions. The remarkable performance of the Mg-MOF for the fixation of CO2from direct air was further supported by in-depth theoretical calculations. Moreover, the computational studies provided an insight into the mechanistic details of the catalytic process in the absence of any co-catalyst and solvent. Overall, this work represents a rare demonstration of carbon capture and utilization (CCU) from direct air under eco-friendly mild conditions. The Royal Society of Chemistry 2021.
Das R.; Ezhil T.; Palakkal A.S.; Muthukumar D.; Pillai R.S.; Nagaraja C.M.
Journal of Materials Chemistry A, Vol-9, No. 40, pp. 23127-23139.
https://doi.org/10.1039/d1ta05138e https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117506707&doi=10.1039%2fd1ta05138e&partnerID=40&md5=2852ca4d73d04a577a594ac9d5c4b7f8
Das R., Department of Chemistry, Indian Institute of Technology Ropar, Rupnagar, 140001, Punjab, India; Ezhil T., Department of Chemistry, Indian Institute of Technology Ropar, Rupnagar, 140001, Punjab, India; Palakkal A.S., Department of Chemistry, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, Tamil Nadu, India; Muthukumar D., Department of Chemistry, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, Tamil Nadu, India; Pillai R.S., Department of Chemistry, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, Tamil Nadu, India, Department of Chemistry, Christ University, Bangalore, 560023, Karnataka, India; Nagaraja C.M., Department of Chemistry, Indian Institute of Technology Ropar, Rupnagar, 140001, Punjab, India
Engineering the functionality of porous organic polymers (POPs) for metal/cocatalyst-free CO2 fixation at atmospheric conditions
Atmospheric pressure; CO2 utilization; Cyclic carbonates; Metal/Co-catalyst-free fixation; Porous Organic Polymer (POP)
Carbon dioxide (CO2) utilization as C1 feedstock under metal/co-catalyst-free conditions facilitates the development of eco-friendly routes for mitigating atmospheric CO2 concentration and producing value-added compounds. In this regard, herein, we designed a bifunctional porous organic polymer (POP-1) by incorporating acidic (-CONH) and CO2-philic (-NH/N) sites by judicious choice of organic precursors. Indeed, POP-1 exhibits high heat of interaction for CO2 (40.2 kJ/mol) and excellent catalytic performance for transforming carbon dioxide to cyclic carbonates, a high-value commodity chemical with high selectivity and yield under metal/cocatalyst/solvent-free atmospheric pressure conditions. Interestingly, an analogous polymer (POP-2) that lacks basic (-NH/N) sites showed lower CO2 interaction energy (31.6 kJ/mol) and catalytic activity than that of POP-1. The theoretical studies further supported the superior catalytic activity of POP-1 in the absence of Lewis acidic metal and cocatalyst. Notably, POP-1 showed excellent reusability with retention of catalytic performance for multiple cycles of usage. Overall, this work presents a novel approach to metal/cocatalyst/solvent-free utilization of CO2 under eco-friendly atmospheric pressure conditions. 2024 Elsevier Ltd
Das R.; Kishan R.; Muthukumar D.; Pillai R.S.; Nagaraja C.M.
Journal of Environmental Chemical Engineering, Vol-12, No. 5
https://doi.org/10.1016/j.jece.2024.113777 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201624684&doi=10.1016%2fj.jece.2024.113777&partnerID=40&md5=51263e616c7d6c0e364261a2f6a335dd
Das R., Department of Chemistry, Indian Institute of Technology Ropar, Punjab, Rupnagar, 140001, India; Kishan R., Department of Chemistry, Indian Institute of Technology Ropar, Punjab, Rupnagar, 140001, India; Muthukumar D., Department of Chemistry, Christ University, Bengaluru, 560 022, India; Pillai R.S., Department of Chemistry, Christ University, Bengaluru, 560 022, India; Nagaraja C.M., Department of Chemistry, Indian Institute of Technology Ropar, Punjab, Rupnagar, 140001, India
Therapeutic potential of marine macrolides: An overview from 1990 to 2022
Macrolides; Marine pharmacology; Structure activity relationships; Therapeutic drug targets
The sea is a vast ecosystem that has remained primarily unexploited and untapped, resulting in numerous organisms. Consequently, marine organisms have piqued the interest of scientists as an abundant source of natural resources with unique structural features and fascinating biological activities. Marine macrolide is a top-class natural product with a heavily oxygenated polyene backbone containing macrocyclic lactone. In the last few decades, significant efforts have been made to isolate and characterize macrolides' chemical and biological properties. Numerous macrolides are extracted from different marine organisms such as marine microorganisms, sponges, zooplankton, molluscs, cnidarians, red algae, tunicates, and bryozoans. Notably, the prominent macrolide sources are fungi, dinoflagellates, and sponges. Marine macrolides have several bioactive characteristics such as antimicrobial (antibacterial, antifungal, antimalarial, antiviral), anti-inflammatory, antidiabetic, cytotoxic, and neuroprotective activities. In brief, marine organisms are plentiful in naturally occurring macrolides, which can become the source of efficient and effective therapeutics for many diseases. This current review summarizes these exciting and promising novel marine macrolides in biological activities and possible therapeutic applications. 2022 The Authors
Das R.; Rauf A.; Mitra S.; Emran T.B.; Hossain M.J.; Khan Z.; Naz S.; Ahmad B.; Meyyazhagan A.; Pushparaj K.; Wan C.C.; Balasubramanian B.; Rengasamy K.R.; Simal-Gandara J.
Chemico-Biological Interactions, Vol-365
All Open Access; Green Open Access; Hybrid Gold Open Access
ISSN: 92797; PubMed ID: 35952775; CODEN: CBINA
https://doi.org/10.1016/j.cbi.2022.110072 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135791829&doi=10.1016%2fj.cbi.2022.110072&partnerID=40&md5=0085af8fb33bf878187104946ab046fe
Das R., Department of Pharmacy, Faculty of Pharmacy, University of Dhaka, Dhaka, 1000, Bangladesh; Rauf A., Department of Chemistry, University of Swabi, Swabi, 94640, Pakistan; Mitra S., Department of Pharmacy, Faculty of Pharmacy, University of Dhaka, Dhaka, 1000, Bangladesh; Emran T.B., Department of Pharmacy, BGC Trust University Bangladesh, Chittagong, 4381, Bangladesh, Department of Pharmacy, Faculty of Allied Health Sciences, Daffodil International University, Dhaka, 1207, Bangladesh; Hossain M.J., Department of Pharmacy, State University of Bangladesh, 77 Satmasjid Road, Dhanmondi, Dhaka, 1205, Bangladesh; Khan Z., Department of Pharmacy, International Islamic University Chittagong, Chittagong, 4318, Bangladesh; Naz S., Department of Biotechnology, Bacha Khan University, Charsadda, KPK, Pakistan; Ahmad B., Department of Biotechnology, Bacha Khan University, Charsadda, KPK, Pakistan; Meyyazhagan A., Department of Life Science, CHRIST (Deemed to be University), Bengaluru, 560076, Karnataka, India; Pushparaj K., Department of Zoology, School of Biosciences, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, 641 043, Tamil Nadu, India; Wan C.C., Jiangxi Key Laboratory for Postharvest Technology and Nondestructive Testing of Fruit &Vegetables, Collaborative Innovation Center of Postharvest Key Technology and Quality Safety of Fruit & Vegetables, College of Agronomy, Jiangxi Agricultural University Nanchang, 330045, Jiangxi, China; Balasubramanian B., Department of Food Science and Biotechnology, College of Life Science, Sejong University, Seoul, 05006, South Korea; Rengasamy K.R., Centre for Transdisciplinary Research, Department of Pharmacology, Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, 600077, India; Simal-Gandara J., Universidade de Vigo, Nutrition and Bromatology Group, Department of Analytical Chemistry and Food Science, Faculty of Science, E-32004 Ourense, Spain
The importance of strategic agility and resilience in work-life balance
This chapter's objective is to analyze agility and resilience which are essential qualities of work-life balance. Similarly, both enable individuals to play the important role of both professional and personal responsibilities effectively. In this chapter, the author has mentioned the importance and the role of strategic agility which describes the ability to predict and respond quickly to changes and challenges in the work environment. Also, all these involve being acceptable, adaptable, flexible, and open to new ideas and approaches. In the work-life balance framework, strategic agility supports individuals to be proactive, positive, and efficient enough to manage their time and energy. It helps individuals prioritize their tasks, allocate resources properly, and enhance their understanding of where to invest their efforts. 2024, IGI Global. All rights reserved.
Practical Approaches to Agile Project Management, pp. 270-288.
Das R.C., Christ University, India; Basavaraj S., Christ University, India
Crowd Monitoring System Using Facial Recognition
Crowd Monitoring and Analysis; Face landmark estimation; Histogram of Gradient (HOG); K-Nearest Neighbor (KNN); Support Vector Machine (SVM)
The World Health Organization (WHO) suggests social isolation as a remedy to lessen the transmission of COVID-19 in public areas. Most countries and national health authorities have established the 2-m physical distance as a required safety measure in shopping malls, schools, and other covered locations. In this study, we use standard CCTV security cameras to create an automated system for people detecting crowds in indoor and outdoor settings. Popular computer vision algorithms and the CNN model are implemented to build up the system and a comparative study is performed with algorithms like Support Vector Machine and KNN algorithm. The created model is a general and precise people tracking and identifying the solution that may be used in a wide range of other study areas where the focus is on person detection, including autonomous cars, anomaly detection, crowd analysis, and manymore. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Das S.; Chinnaiyan R.; Sabarmathi G.; Maskey A.; Swarnamugi M.; Balachandar S.; Divya R.
Smart Innovation, Systems and Technologies, Vol-371, pp. 567-577.
Das S., Department of CSE-Cyber Security, JAIN (Deemed-to-be-University), Bengaluru, India; Chinnaiyan R., Department of CSE, Alliance College of Engineering and Design, Alliance University, Bengaluru, India; Sabarmathi G., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India; Maskey A., Department of CSE-Cyber Security, JAIN (Deemed-to-be-University), Bengaluru, India; Swarnamugi M., Department of CS, Jyoti Nivas College, Bengaluru, India; Balachandar S., VTU-RC, MCA, CMR Insitute of Technology, Bengaluru, India; Divya R., VTU-RC, MCA, CMR Insitute of Technology, Bengaluru, India
Fractional and memory effects on wave reflection in pre-stressed microstructured solids with dual porosity
Dual porosity; Fractional-order derivative; Memory-dependent derivative; Microstructure; Nonlocal elasticity; Plane waves
The present work investigates the influence of fractional-order derivative and memory-dependent derivative on the behavior of various waves reflected at the free surface of a size-dependent, pre-stressed, microstructured thermoelastic solid with a dual porosity framework. A generalized MooreGibsonThomson (MGT) model, incorporating higher-order terms and memory effects, is adopted to describe the complex heat transfer behavior within the material. A nonlocal framework based on Eringen's theory is utilized to derive the basic relations of the considered medium. An examination of the non-dimensionalized governing equations is conducted employing the normal mode technique to provide accurate solutions. The research demonstrates the presence of six separate wave modes that travel at varying speeds within the medium. The energy and amplitude ratios of reflected waves are determined by applying suitable boundary conditions. The influence of varying incidence angles on the reflected wave energy distribution is investigated numerically and visualized using MATLAB software. The study reveals that the energy ratios of the reflected waves are sensitive to the fractional-order parameter, kernel functions, initial stress, and nonlocality parameter. The analysis suggests a conservative reflection process, indicating minimal energy loss during reflection. Key findings and their implications for relevant scenarios are presented in the conclusion. Comparisons with existing models for certain cases demonstrate good agreement, supporting the validity of the present model. 2025 Elsevier Masson SAS
Das S.; Dutta R.; Gupta V.; Singhal A.; Barak M.S.; Almohsen B.
European Journal of Mechanics, A/Solids, Vol-111
https://doi.org/10.1016/j.euromechsol.2024.105565 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214949389&doi=10.1016%2fj.euromechsol.2024.105565&partnerID=40&md5=54211d67a41eab6812e202362d891fe8
Das S., School of Physical Sciences, Amrita Vishwa Vidyapeetham, Mysuru campus, Karnataka, India; Dutta R., Amrita School of Computing, Amrita Vishwa Vidyapeetham, Mysuru campus, Karnataka, India; Gupta V., Department of Mathematics, Indira Gandhi University, Meerpur, Haryana, Rewari, India, Department of Mathematics, Gurugram University, Gurugram, India; Singhal A., Department of Mathematics, Christ University, Karnataka, Bengaluru, India; Barak M.S., Department of Mathematics, Indira Gandhi University, Meerpur, Haryana, Rewari, India; Almohsen B., Department of Mathematics, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia
Advancements in e-Governance Initiatives: Digitalizing Healthcare in India
Contact tracing applications; e-Governance; EHR; ICT digital health
In order to improve the quality of service delivery to the public, to encourage interactive communications between government and citizens or government and business, and to address development challenges in any given society, information and electronic governance is the sophisticated fusion of a wide range of information and communication technologies with non-technological measures and resources. Digital technology advancements over the past ten years have made it possible to quickly advance data gathering, analysis, display, and application for bettering health outcomes. Digital health is the study and practice of all facets of using digital technologies to improve ones health, from conception through implementation. Digital health strategies seek to improve the data that is already accessible and encourage its usage in decision-making. Digital patient records that are updated in real-time are known as electronic health records (EHRs). An electronic health record (EHR) is a detailed account of someones general health. Electronic health records (EHRs) make it easier to make better healthcare decisions, track a patients clinical development, and deliver evidence-based care. This concept paper is based on secondary data that was collected from a variety of national and international periodicals, official records, and public and private websites. This paper presents a review of advancements for scaling digital health within Indias overall preparedness for pandemics and the use of contact tracing applications in measuring response efforts to counter the impact of the pandemic. The paper provides information about the government of Indias EHR implementation and initiatives taken toward the establishment of a system of e-governance. The document also covers the advantages of keeping EHR for improved outreach and health care. Further, this paper discusses in depth the effectiveness of using contact tracing applications in enhancing digital health. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.
Lecture Notes in Networks and Systems, Vol-755 LNNS, pp. 287-296.
Das S., School of Commerce, Finance and Accountancy, CHRIST (Deemed to Be University), Bengaluru, India; Garg V., School of Commerce, Finance and Accountancy, CHRIST (Deemed to Be University), Bengaluru, India; Joseph J.J., School of Commerce, Finance and Accountancy, CHRIST (Deemed to Be University), Bengaluru, India
ICT Policy Reforms for Innovation and Economic Development: A Comparative Study of India and China
And reforms; Economic development; ICT policies; Information and communication technologies; R&D expenditure
The widespread adoption of Information and Communication Technologies (ICTs) has become essential for economic and social growth across the world. This paper aims to examine the impact of ICT policies and reforms on the level of economic development and adoption of ICTs in two countries, India and China. Previous studies have shown the positive impact of ICT adoption on economic growth, productivity, and innovation. However, the effectiveness of specific policy measures in promoting ICT adoption and economic development remains ambiguous to the users of ICT. This paper presents a comparative analysis of the ICT policies and reforms implemented in India and China from 2010 to 2021 and their impact on GDP per capita and internet usage. The study aims to identify and analyze the key ICT policies and reforms implemented in the two countries and examine their impact on economic development. The data for this study have been collected from the World Bank indicators database. The sample consists of the two fastest-growing economies in the world, India and China. The data analysis involves conducting descriptive statistics, correlation, and regression analysis to examine the relationship between ICT policies and reforms and their impact on GDP per capita, internet usage, and research and development expenditure. The findings of this study will contribute to the existing literature on the relationship between ICTs and economic development and provide insights into the policy measures that can promote ICT adoption and economic growth in different contexts. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Smart Innovation, Systems and Technologies, Vol-379, pp. 131-139.
Das S., School of Commerce, Finance and Accountancy, CHRIST (Deemed to be University), Bengaluru, India; Joseph J.J., School of Commerce, Finance and Accountancy, CHRIST (Deemed to be University), Bengaluru, India
An Effecient Approach to Detect Fraud Instagram Accounts Using Supervised ML Algorithms
Decision Tree; Fake account; Fraud-Detection; Instagram; Logistic Regression; Random Forest; SVM
Nowadays social media plays a vital role in different fields including business, economic communication and personal. Many person get profit from the different origins of availability of data from these social media, but cyber-crimes are increasing day by day. A person can generate many fake accounts and hence pretenders can easily be made. Instagram, as one of the popular types of online social media site, carries big information and messages through the posts. Most of the person use Instagram as a digital life marketing place because it is a one of the big social media site. The goal of the research paper is to recognize and stop fake IDs and pages. Because through the professional pages of Instagram, many fake cases and things are occurring present days. So the main thing is to recognize fake pages and fake accounts also. In this paper, we work on various IDs of Instagram. We want to observe an ID is real or not using Machine Learning techniques namely Logistic Regression, Naive Bayes, Support vector machine, Decision tree, Random Forest. 2022 IEEE.
Das S.; Saha S.; Vijayalakshmi S.; Jaiswal J.
Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022, pp. 760-764.
Institute of Electrical and Electronics Engineers Inc.
Das S., Christ University, India; Saha S., Christ University, India; Vijayalakshmi S., Christ University, India; Jaiswal J., Christ University, India
Meta-analysis of EMF-induced pollution by COVID-19 in virtual teaching and learning with an artificial intelligence perspective
AI; COVID-19; EMF radiation; Internet and online-education; Machine learning; Mobile phones; Mobile towers
Concerns about the health effects of frequent exposure to electromagnetic fields (EMF) emitted from mobile towers and handsets have been raised because of the gradual increase in usage of cell phones and frequent setting up of mobile towers. The present study is targeted to detrimental effects of EMF radiation on various biological systems mainly due to online teaching and learning processes by suppressing the immune system. During the COVID-19 pandemic, the increased usage of internet due to online education and online office leads to more detrimental effects of EMF radiation. Further inculcation of soft computing techniques in EMF radiation has been presented. A literature review focusing on the usage of soft computing techniques in the domain of EMF radiation has been presented in the article. An online survey has been conducted targeting Indian academic stakeholders (specially teachers, students, and parents termed as population in the paper) for analyzing the awareness towards the biohazards of EMF exposure. 2022 IGI Global. All rights reserved.
Das S.; Srivastava S.; Tripathi A.; Das S.
International Journal of Web-Based Learning and Teaching Technologies, Vol-17, No. 4
https://doi.org/10.4018/IJWLTT.285566 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113797168&doi=10.4018%2fIJWLTT.285566&partnerID=40&md5=f60fd49ccac5c5552b613dd65819cc2c
Das S., Pharmacy Institute, Noida Institute of Engineering and Technology, India; Srivastava S., Christ University, Delhi, India; Tripathi A., Vellore Institute of Technology, Bhopal, India; Das S., Pharmacy Institute, Noida Institute of Engineering and Technology, India
Internet marketing and digital marketing are not synonymous in the minds of the majority of the population, yet this may not be true. Given the rise in popularity of digital marketing as a marketing tactic, it is critical to comprehend the distinctions between the two methods. Even while it should be evident that they might be connected, there is very little difference between them. Internet marketing is merely a subclass of digital marketing, as well as the extent of digital marketing encompasses much more than internet marketing. This paper discussed digital marketing technologies, as well as the advantages and disadvantages of employing digital marketing and digital finance tools in general. In order to remain competitive, businesses must overcome obstacles and seize possibilities presented by digital marketing technologies. Lastly, it's critical to prioritise digital marketing and make use of digital finance techniques in order to maintain a good performance without wasting time or money. 2022 IEEE.
Das T.; Giri P.; Gupta Ganguly D.; Chaurasia A.; Das S.
Proceedings - 2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors, SSTEPS 2022, pp. 182-184.
https://doi.org/10.1109/SSTEPS57475.2022.00054 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161460301&doi=10.1109%2fSSTEPS57475.2022.00054&partnerID=40&md5=2bb9add2c8f6a19cc753f572a5b7c371
Das T., Christ (Deemed to Be University), School of Business Management, Ghaziabad, India; Giri P., Christ (Deemed to Be University), School of Business Management, Ghaziabad, India; Gupta Ganguly D., Christ (Deemed to Be University), School of Business Management, Ghaziabad, India; Chaurasia A., Christ (Deemed to Be University), School of Commerce, Finance and Accuntancy, Ghaziabad, India; Das S., Christ (Deemed to Be University), School of Commerce, Finance and Accuntancy, Ghaziabad, India
Recent Progress on the Development of Chemosensors
Chemosensors; CO2; Detection; Fluorescence; Gases
Chemosensors are the chemical structures which convert chemical stimuli into responsive form that can be easily detected, such as change of colour, fluorescence, and other electronic signal. Recently, chemosensors development for detection and monitoring of gases has been growing interest due to the significant importance in environmental and biological systems. Subsequently, the development of chemosensors for detection of various gases is considered to be a significant goal in science and among the all gases, carbon dioxide (CO2) is a major public concern due to its role in global greenhouse warming with environmental pollution. Moreover, quite critical level of CO2 in the modern agricultural, food, environmental, oil and chemical industries is dangerous for living beings to survive such high concentration levels of CO2. Therefore, rapid and selective detection and monitoring of CO2 in the gaseous as well as in the liquid phases provides an incentive for development of new methods. The coverage of this book chapter is divided into different sections according to the use of different types of molecular backbones and the detection pathways. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.
Next-Generation Nanobiosensor Devices for Point-Of-Care Diagnostics, pp. 195-209.
Das T., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, India; Jain S., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, India; Das A.K., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, India
Deprotection induced modulation of excited state intramolecular proton transfer for selective detection of perborate and ammonia
Deprotection; Dip-stick method; ESIPT; Fluorescence; Naked-eye
Acetate protected Naphthalene Coupled Benzothiazole (NCB) has been designed and synthesized for selective detection of perborate (BO3) and ammonia (NH3) based on modulation of excited-state intramolecular proton transfer (ESIPT) process by chemodosimetric deacetylation pathway. In presence of nucleophilic species like BO3 and NH3, acetyl group deprotection of NCB resulted ESIPT within the molecule exhibiting a significant enhancement of absorption and emission signals at 425 nm and 472 nm respectively. The emission enhancement of NCB has been observed by 31-folds and 14-folds in presence of BO3 and NH3 respectively. The selectivity and fast sensitivity of NCB have been shown by the lower detection limit (1.32 M for BO3, 1.74 M for NH3 in UVvis study and 0.60 M for BO3 and 4.39 M for NH3 in fluorescence study) and fast response (rate constants: 12.36 s?1 and 5.54 s?1 for BO3 and NH3 respectively). Analytes induced deacetylation pathway of NCB followed by ESIPT has been clearly demonstrated by theoretical calculation. The test strips based on NCB with BO3 and NH3 are fabricated, which can act as a convenient and efficient test kits for both these analytes. In the practical applications, the sensor NCB can be utilized as low cost food spoilage indicator and soil analysis by fluorometric method. 2024 Elsevier B.V.
Das T.; Joseph E.; Kumar M.S.; Vishnu S.; Dolai M.; Das A.K.
https://doi.org/10.1016/j.microc.2024.110100 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185191747&doi=10.1016%2fj.microc.2024.110100&partnerID=40&md5=34902ec45f910206220474a57d27fa32
Das T., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India; Joseph E., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India; Kumar M.S., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India; Vishnu S., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India; Dolai M., Department of Chemistry, Prabhat Kumar College, Purba Medinipur, West Bengal, Contai, 721404, India; Das A.K., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India
Vehicular Propagation Velocity Forecasting Using Open CV
Computer Vision; Convolutional Neural Network; Machine Learning; Vehicle Speed Detection
This work presents a predictive learning driven methodology for recognizing the vehicular velocity. The developed model uses machine vision models to trace and detect vehicular movement in timely manner. It further deploys a machine tested framework for estimation of its velocity on basis of the accumulated information. The technique depends upon a CNN model that is validated with a standardized instances of vehicular scans and corresponding velocity parameters. The proposed model generates good efficiency and robustness in determining velocities across test conditions which encompass various kinds of vehicles and lighting scenarios. An optimal vehicular frequency is noted with heavy-weight vehicles in place in comparison to other vehicles. A mean latency period of 1.25 seconds and an error rate of 0.05 is observed with less road traffic in place. The suggested approach can be of great help in transportation systems, traffic monitoring and enhancing road safety. 2023 IEEE.
Das U.; Sharma V.; Das M.; Mishra S.; Iwendi C.; Osamor J.
2023 4th International Conference on Computation, Automation and Knowledge Management, ICCAKM 2023
Das U., Kalinga Institute of Industrial Technology, Bhubaneswar, India; Sharma V., Christ (Deemed to Be University), Department of Computational Sciences, Delhi NCR, India; Das M., Kalinga Institute of Industrial Technology, Bhubaneswar, India; Mishra S., Kalinga Institute of Industrial Technology, Bhubaneswar, India; Iwendi C., School of Creative Technologies, University of Bolton, United Kingdom; Osamor J., Glasgow Caledonian University, Department of Cybersecurity and Networks, Glasgow, G4 0BA, United Kingdom
Wired Highways: The Soul of a Smarter City
The "smart city"concept emerged in the 1990s, characterized by extensive globalization, rapid technological advancement, and the emergence of the knowledge economy. Urban planning professionals began considering how to introduce digital technology into existing city infrastructure to create cities that were faster, efficient, sustainable, and better managed. Innovative thinking has moved away from traditional methods of city planning and management, and has started to challenge the planning systems where governments understood complexity from a bureaucratic perspective. In planning smart cities, local governments are largely relying on using information and communication technologies (ICT) to enhance essential city functions like transportation, energy, water, and public safety. Urbanization is becoming increasingly complex, and the global urban population is growing at unprecedented rates, creating a need of urban systems to be smarter, safer, and more environmentally sustainable. Cities are faced with many complex problems, but urban transportation is one of the most daunting. Existing infrastructure is becoming overwhelmed by congestion, increasing volume of traffic, and safety issues. An innovative way of tackling these problems is through Intelligent Transportation Systems (ITS). ITS is the use of ICT including sensors, software, communication networks, and data analytics in transportation systems to increase efficiency, safety, reliability, and sustainability. By using real-time monitoring, predictive analytics, and data-driven decision-making, ITS creates traffic management systems that improve city response time, decreases congestion and accidents, and increases sustainable or environmental-friendly transport choices. This research recognizes the importance of ITS to smart city development, emphasizing. 2026 IEEE.
Das, Anish; Singh, Madan; Singhal, Prateek
Conference Proceedings - 1st International Conference on Advancing Sustainable Solutions through Technologies, ICASST 2026;
Restricted Access; Hardcopy may be available in the library
https://doi.org/10.1109/ICASST68917.2026.11484348 https://www.scopus.com/pages/publications/105038384952?origin=resultslist
Das A., Christ (Deemed To Be University), School of Sciences, Department of Computer Science, Ghaziabad, 203001, India; Singh M., Christ (Deemed To Be University), School of Sciences, Department of Computer Science, Ghaziabad, 203001, India; Singhal P., Chandigarh University, Department of Computer Science And Engineering, Uttar Pradesh, Lucknow, 209859, India
Mechanoluminescence of PolymerOrganic Composites under Strain and Hydrostatic Pressure
DFT; energy generation; fluorescence; mechanoluminescence; underwater fluorescence
The development of underwater-based Internet of Things has drawn much attention to fluorescence sensors for crucial technological advancement. Therefore, the technologies for underwater mechanoluminescence (ML) sensing have created various applications for sensors and self-powered waterproof displays. However, developing single-molecule-based intrinsically adaptive materials capable of responding to multiple stimuli with high sensitivity remains a challenge. Herein, a flexible sensor based on the fluorescent ligand DHN was fabricated using a PVDF polymer matrix to form PVDH, enabling the exploration of external-stimuli-responsive fluorescence enhancement under mechanical strain and underwater pressure. For PVDH, the transition from crystalline to amorphous state by mechanical stimuli boosted its photoluminescence by ?75%, and stretching (strain ?16%) the sensor boosted its photoluminescence by ?145%, which is due to the formation of molecular aggregates in the amorphous state. Additionally, the increase in ML correlated with an output voltage of ?4 V of the fabricated device under mechanical stress. The in-depth density functional theory (DFT) calculations further support the experimental observation by studying the charge distribution and orbital overlapping in the DHN ligand. Furthermore, the film shows clear visualization when subject to underwater pressure and stable fluorescence upon exposure to different impurities. Therefore, this study reveals the use of fluorescence and mechanochromic properties of the ligand for designing advanced underwater sensors for visualization and communication. 2025 American Chemical Society
Das, Avijit Kumar; Kumar, Malavika S.; Mishra, Subhendu; Vishnu, S.; Salian, Raksha D.; Mathias, Royston; Singh, Abhishek Kumar; Kumbhakar, Partha
ACS Applied Optical Materials;Volume;4;Issue;1;pp.36-43
https://doi.org/10.1021/acsaom.5c00430 https://www.scopus.com/pages/publications/105028249734?origin=resultslist
Das A.K., Department of Chemistry, Christ University, Bangalore, 560029, India; Kumar M.S., Department of Chemistry, Christ University, Bangalore, 560029, India; Mishra S., Materials Research Centre, Indian Institute of Science, Bangalore, 560012, India; Vishnu S., Department of Chemistry, Christ University, Bangalore, 560029, India; Salian R.D., Department of Physics and Electronics, Christ University, Bangalore, 560029, India; Mathias R., Department of Physics and Electronics, Christ University, Bangalore, 560029, India; Singh A.K., Materials Research Centre, Indian Institute of Science, Bangalore, 560012, India; Kumbhakar P., Department of Physics and Electronics, Christ University, Bangalore, 560029, India
Exploring the potential of Andrographis paniculata for developing novel HDAC inhibitors: an in silico approach
Cancer; computational biology; MD simulation; molecular docking; PCA
Cancer is one of the dreaded diseases of the twentieth century, emerging the major global causes of human morbidity. Cancer research in the last 15 years has provided unprecedented information on the role of epigenetics in cancer initiation and progression. Histone deacetylases (HDACs) are recognized as important epigenetic markers in cancer, whose overexpression leads to increased metastasis and angiogenesis. In the current study, thirty-four (34) compounds from Andrographis paniculata were screened for the identification of potential candidate drugs, targeting three Class I HDACs (Histone deacetylases), namely HDAC1 (PDB id 5ICN), HDAC3 (PDB id 4A69) and HDAC8 (PDB id 5FCW) through computer-assisted drug discovery study. Results showed that some of the phytochemicals chosen for this study exhibited significant drug-like properties. In silico molecular docking study further revealed that out of 34 compounds, the flavonoid Andrographidine E had the highest binding affinities towards HDAC1 (?9.261 Kcal mol?1) and 3 (?9.554 Kcal mol?1) when compared with the control drug Givinostat (-8.789 and ?9.448 Kcal mol?1). The diterpenoid Andrographiside displayed the highest binding affinity (-9.588 Kcal mol?1) to HDAC8 compared to Givinostat (-8.947 Kcal mol?1). Statistical analysis using Principal Component Analysis tool revealed that all 34 phytocompounds could be clustered in four statistical groups. Most of them showed high or comparable inhibitory potentials towards HDAC target protein. Finally, the stability of top-ranked complexes (Andrographidine E-HDAC1 and HDAC3; Andrographiside-HDAC8) at the physiological condition was validated by Molecular Dynamic Simulation and MM-PBSA study. Communicated by Ramaswamy H. Sarma. 2023 Informa UK Limited, trading as Taylor & Francis Group.
Das, Debalina; Banerjee, Ritesh; Bandyopadhyay, Maumita; Nag, Anish
Journal of Biomolecular Structure and Dynamics;Volume;43;Issue;1;pp.359-371
https://doi.org/10.1080/07391102.2023.2281635 https://www.scopus.com/pages/publications/85176942419?origin=resultslist
Das D., Plant Molecular Cytogenetics and Plant Biotechnology Laboratory, Department of Botany, Centre of Advanced Studies, University of Calcutta, West Bengal, Kolkata, India; Banerjee R., School of Biological and Environmental Sciences, Shoolini University, Himachal Pradesh, Solan, India; Bandyopadhyay M., Plant Molecular Cytogenetics and Plant Biotechnology Laboratory, Department of Botany, Centre of Advanced Studies, University of Calcutta, West Bengal, Kolkata, India; Nag A., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore Central Campus, Bangalore, India
A proposed framework for an appropriate governance system to develop smart cities in India
cultural theory; executive; governance; legislative; smart city; special-purpose vehicles; stakeholder participation; urban local bodies
The Government of India has undertaken a novel step towards building new smart cities as well as transforming some of its existing cities into smart cities. However, tension relating to the governance of smart cities has emerged. Therefore, a mixed-methods approach was used based on a perception survey, case studies, and discussions with stakeholders and experts, to examine the current governance challenges in transforming existing cities into smart cities, and to explore various perspectives to propose a framework for an appropriate governance system for developing smart cities in India. The findings suggested that the current executive-led governance system, with special-purpose vehicles (SPVs) under the control of the state governments as the promoters of smart city development, might not lead to the smart governance system envisaged but, rather, add confusion and conflict, and undermine the constitutionally mandated, legislative-led urban local bodies. The argument in this article is for a people-centric, balanced governance approach with strengthened urban local bodies, enabled by advanced digital technology and the constructive participation of different social solidarities, in which the SPVs would act as the intellectual and executive wing of the urban local bodies. 2023 Regional Studies Association.
Territory, Politics, Governance;Volume;13;Issue;7;pp.1023-1044
https://doi.org/10.1080/21622671.2023.2229872 https://www.scopus.com/pages/publications/85165151593?origin=resultslist
Das D.K., Discipline of Civil Engineering, School of Engineering, University of KwaZulu Natal, Durban, South Africa; Chadchan J., School of Architecture, CHRIST (Deemed to be University), Bangalore, India