Detection and Behavioral Analysis of Preschoolers with Dyscalculia
Analysis; Behaviour; Behaviour analysis; Brain training; Dyscalculia
Human behaviours are influenced by various factors that might impact their thought process. The way human beings response in situations have a strong connection with genetic makeup, cultural values and experiences from the past. Behaviour Analysis discusses the effect of human response to external/internal stimuli. This study helps in understanding behaviour changes among individuals suffering from various psychological disorders. Dyscalculia is one similar type of learning disorder [LD] which is commonly found among individuals and goes undetected for years. It is a lifelong condition which causes difficulty for people to perform mathematics-related tasks. Dyscalculia is quite eminent at every age. Since the symptoms are prominent from a young age, it can be detected at the earliest. Dyscalculia has no medical treatment but can be minimized by getting involved in some brain exercises especially created for children with Learning Disabilities. The chapter deals with minor research and the behaviour analysis for the above-mentioned disorder among pre-schoolers. In this chapter, a study of the behavioural patterns of pre-schoolers with dyscalculia is performed. This chapter also attempts to propose a model that can detect and predict the possibility of a child suffering from dyscalculia. It also includes a number of brain training activities that can help them to improve and enhance their confidence in mathematics. 2020, Springer Nature Switzerland AG.
Suri S.; Tirkey A.; Delphy J.; Aurelia S.
Learning and Analytics in Intelligent Systems, Vol-6, pp. 45-67.
Suri S., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Tirkey A., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Delphy J., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Aurelia S., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India
Laser Scribing Turns Plastic Waste into a Biosensor via the Restructuration of Nanocarbon Composites for Noninvasive Dopamine Detection
biosensor; carbon materials; direct laser writing; dopamine; electrochemical; flexible sensor
The development of affordable and compact noninvasive point-of-care (POC) dopamine biosensors for the next generation is currently a major and challenging problem. In this context, a highly sensitive, selective, and low-cost sensing probe is developed by a simple one-step laser-scribing process of plastic waste. A flexible POC device is developed as a prototype and shows a highly specific response to dopamine in the real sample (urine) as low as 100 pmol/L in a broad linear range of 10?1010?4 mol/L. The 3D topological feature, carrier kinetics, and surface chemistry are found to improve with the formation of high-density metal-embedded graphene-foam composite driven by laser irradiation on the plastic-waste surface. The development of various kinds of flexible and tunable biosensors by plastic waste is now possible thanks to the success of this simple, but effective, laser-scribing technique, which is capable of modifying the matrixs electronic and chemical composition. 2023 by the authors.
Suriyaprakash J.; Huang Y.; Hu Z.; Wang H.; Zhan Y.; Zhou Y.; Thangavelu I.; Wu L.
Multidisciplinary Digital Publishing Institute (MDPI)
All Open Access; Gold Open Access; Green Open Access
https://doi.org/10.3390/bios13080810 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168889748&doi=10.3390%2fbios13080810&partnerID=40&md5=20a53c532395a16f69ee5ebf8152ab32
Suriyaprakash J., Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, China; Huang Y., Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, China; Hu Z., Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, China; Wang H., Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, China; Zhan Y., Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, China; Zhou Y., Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences, Wenhua Road 72, Shenyang, 110016, China; Thangavelu I., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Wu L., Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, China
Precise surface molecular engineering of 2D-Bi2S3 enables the ultrasensitive simultaneous detection of dopamine, epinephrine, serotonin and uric acid
2D materials; Biosensor; Dopamine; Electrochemical; Epinephrine; Serotonin; Surface engineering; Uric acid
Multiple biomolecule detection at a single read is an emerging and highly desirable technology in point-of-care diagnostics. Thus, functional nanoscale materials with high precision and stability at an affordable cost are required to fabricate adaptable multiplex biosensing devices with exceptional performance. Herein, an ultrasensitive molecularly engineered 2D-Bi2S3 biosensor is developed via a two-step synthetic approach. Simultaneous detection of dopamine (DA), epinephrine (EP), serotonin (ST), and uric acid (UA) is achieved at the nanomolar level. The surface molecular engineered 2D-Bi2S3 by 4-mercaptobenzoic acid (MBA) exhibits a well crystalline nature and consists of 36 stacked layers with creased-paper-like morphology after an MBA molecule has been precisely linked at the basal plane of Bi2S3. Bi2S3-MBA's surface/vibrational spectroscopic and scanning tunneling microscopic studies demonstrate the Bi2S3-MBA electronic nature and the linked molecule present on the Bi2S3 surface with a comparatively large random distribution of MBA molecules at the basal plane than the edge plane. The density functional theory (DFT) calculation verifies the proposed molecular interaction mechanism. The success of this unique surface molecular engineering strategy, which effectively modified the electronic and surface configuration of the 2D-Bi2S3, offers an exciting possibility for building different variants of the versatile biosensor for real-world diagnostic device applications. 2024
Suriyaprakash J.; Thangavelu I.; Huang Y.; Hu Z.; Wang H.; Zhan Y.; Wu L.; Shan L.
https://doi.org/10.1016/j.surfin.2024.104021 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183955053&doi=10.1016%2fj.surfin.2024.104021&partnerID=40&md5=7bfc79ca43fb3260ed817ddfef1d9e99
Suriyaprakash J., Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter, Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, China; Thangavelu I., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Huang Y., Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter, Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, China; Hu Z., Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter, Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, China; Wang H., Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter, Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, China; Zhan Y., Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter, Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, China; Wu L., Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter, Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, China; Shan L., School of Materials Science and Chemical Engineering, Harbin University of Science and Technology, Harbin, 150040, China
The impact of workforce diversity on organizational climate in the banking industry
A Glimpse into the Future: AI, Digital Humans, and the Metaverse Opportunities and Challenges for Life Sciences in Immersive Ecologies
AI; Augmented reality; Digital humans; Digital twins; Extended reality; Metaverse; Mixed reality; Virtual reality
The Metaverse is poised to have a significant impact in life sciences, especially in the healthcare sector. In the near future, genomic data along with AI and extended reality may be used to enhance digital humans to create digital twins to be used for virtual world interactions, or manipulated to obtain insights for real-world healthcare decision-making. In addition, extended reality may enable more robust population-based research and faster drug discovery, and permit the creation of virtual spaces and immersive environments for patients and physicians alike. In this chapter, we examine aspects of extended reality and AI that will play important roles in various areas of life sciences and discuss the future of life sciences in the Metaverse. 2023 John Wiley & Sons Ltd.
AI in Clinical Medicine: A Practical Guide for Healthcare Professionals, pp. 521-527.
Surveswaran S., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, India; Deshpande L., XR Labs, Tata Consultancy Services, Mumbai, India
Cryptic species and taxonomic troubles: A rebuttal of the systematic treatment of the Asian ladies' tresses orchids (Spiranthes species; Orchidaceae) by Pace et al. (2019)
In a recent research article by Pace et al. (2019), the authors claimed to have used information from phenology, morphology and molecular phylogenetics in their nomenclatural review of the Spiranthes sinensis complex. However, there are several scientific and botanical nomenclature issues with the Pace et al. (2019) paper in addition to its many errors and misinformation, which can be severely misleading and have the potential to affect our understanding of the highly complex Asian Spiranthes group. Here, we compare and critique their study in light of our study published prior to the article in the Botanical Journal of the Linnean Society. We suggest that the authors should have resorted to improved and new molecular data and a truly integrative analysis to support: (1) re-circumscription of the S. sinensis species complex for each of the six species they recognized, and the treatment of S. hongkongensis as a hybrid; and (2) all the new synonymies they proposed for Asian Spiranthes. 2020 The Linnean Society of London, Botanical Journal of the Linnean Society, 2020, 194, 375-381
Botanical Journal of the Linnean Society, Vol-194, No. 3, pp. 375-381.
https://doi.org/10.1093/botlinnean/boaa068 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096300995&doi=10.1093%2fbotlinnean%2fboaa068&partnerID=40&md5=76598ed90fa2b4a9c21e5c6c3d6fd3b6
Surveswaran S., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Bangalore, 560029, India; Gowda V., Department of Biological Sciences, Indian Institute of Science Education and Research Bhopal, Bhopal, 462066, India; Sun M., School of Biological Sciences, University of Hong Kong, Pokfulam Road, Hong Kong, 20 Upper Serangoon Crescent, Singapore, 534026, Singapore
Origin and diversification of Indian Ceropegieae (Apocynaceae) and its possible relation to the Indian monsoon
biogeography; Brachystelma; Ceropegia; Deccan; Eastern Ghats; Indian subcontinent; monsoon; Western Ghats
The Indian subcontinent has experienced a major shift in climatic regime from a wet tropical regime to increased seasonal rainfall, since the late Miocene. This shift has been attributed to the intensification of monsoons, which led to opening up of dry habitats in humid forests and formation of deciduous forests. We explored the role of this climatic shift in the origin and diversification of dry-adapted plant genera Ceropegia and Brachystelma (Ceropegiae, Asclepiadoideae, Apocynaceae). We sampled Ceropegia and Brachystelma from across India and used five markers (two nuclear and three plastid regions) to reconstruct a global phylogeny of this group. Indian members of the tribe Ceropegiae were derived from Africa through at least four independent dispersal events. All dispersal events occurred in late Miocene after establishment of a monsoon climate. One of these early dispersing lineages underwent rapid radiation in peninsular India, giving rise to around 50 species. Thus, both dispersal and diversification events coincided with the intensification of monsoons and concomitant aridification. The role of environment in the evolution of floral characteristics and root type in the Indian radiation is also discussed. This is one of the first reports on a dry-adapted endemic radiation of plants in India. 2020 Institute of Botany, Chinese Academy of Sciences
Surveswaran S.; Kambale S.S.; Srivastav M.; Punekar S.A.; Yadav S.R.; Karanth K.P.
Journal of Systematics and Evolution, Vol-59, No. 1, pp. 93-112.
https://doi.org/10.1111/jse.12578 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082937015&doi=10.1111%2fjse.12578&partnerID=40&md5=fc9c81a7c57f6063ee4be4f46fb414fe
Surveswaran S., Centre for Ecological Sciences, Indian Institute of Science, Bangalore, 560012, Karnataka, India, Current address, Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Bangalore, 560029, Karnataka, India; Kambale S.S., Department of Botany, Shivaji University, Kolhapur, 416004, Maharashtra, India, Current address, Department of Botany, Maratha Vidya Prasarak Samaj's Arts, Commerce and Science College, Tryambakeshwar, Nashik, 422212, Maharashtra, India; Srivastav M., Department of Ecology and Evolutionary Biology, Yale University, 165 Prospect St, New Haven, 06511, CT, United States; Punekar S.A., Biospheres, Eshwari 52/403 Lakshmi Nagar, Parvati, Pune, 411009, Maharashtra, India; Yadav S.R., Department of Botany, Shivaji University, Kolhapur, 416004, Maharashtra, India; Karanth K.P., Centre for Ecological Sciences, Indian Institute of Science, Bangalore, 560012, Karnataka, India
Molecular phylogenetics and character evolution in Haplanthodes (Acanthaceae), an endemic genus from peninsular India
Acanthaceae; Andrographis; cladode; endemic genus; Haplanthodes
Haplanthodes (Acanthaceae) is an Indian endemic genus with four species. It is closely related to Andrographis which is also mainly distributed in India. Haplanthodes differs from Andrographis by the presence of cladodes in the inflorescences, subactinomorphic flowers, stamens included within the corolla tube, pouched stamens and oblate pollen grains. To understand the phylogenetic relationship of Haplanthodes, Andrographis and Haplanthus, which are putatively closely related taxa, we used four plastid markers, matK, rbcL, psbA-trnH and trnGRto construct a molecular phylogeny. Our results established the monophyly of Haplanthodes and revealed a sister relationship to Andrographis and Haplanthus. Further, to understand the historical biogeography of the genus, we inferred the divergence time and performed an ancestral area reconstruction. Our analyses suggest that Haplanthodes evolved during Late Miocene 5.85 Ma (95%HPD: 2.1810.34 Ma) in peninsular India where it might have shared a common ancestor with Andrographis. To understand character evolution, the ancestral states of important morphological characters were inferred and discussed based on the equal rate model. The generic status of Haplanthus was not resolved due to incomplete sampling. 2022 Nordic Society Oikos. Published by John Wiley & Sons Ltd.
Surveswaran S.; Tiwari N.; Karanth P.K.; Deshmukh P.V.; Lekhak M.M.
Nordic Journal of Botany, Vol-2022, No. 4
https://doi.org/10.1111/njb.03238 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125049893&doi=10.1111%2fnjb.03238&partnerID=40&md5=ff47c7b106bd07a515c7cddc72f32bf4
Surveswaran S., Dept of Life Sciences, CHRIST (Deemed to be Univ.), Karnataka, Bangalore, India; Tiwari N., Centre for Ecological Sciences, Indian Inst. of Science, Karnataka, Bangalore, India, Suri Sehgal Centre for Biodiversity and Conservation, Ashoka Trust for Research in Ecology and the Environment, Royal Enclave, Shrirampura, Jakkur, Karnataka, Bangalore, India; Karanth P.K., Centre for Ecological Sciences, Indian Inst. of Science, Karnataka, Bangalore, India; Deshmukh P.V., Angiosperm Taxonomy Laboratory, Dept of Botany, Shivaji Univ., Maharashtra, Kolhapur, India; Lekhak M.M., Angiosperm Taxonomy Laboratory, Dept of Botany, Shivaji Univ., Maharashtra, Kolhapur, India
Out of South America Into India: Unusual Long Distance Dispersal of a Plant GenusLepidagathis (Acanthaceae)
Acanthaceae; genetic diversity; intercontinental disjunction; Lophostachys; Oligocene; peninsular India; plastid intergenic spacers
Background: Lepidagathis Willd. (Barlerieae, Acanthoideae, Acanthaceae) is a pantropical plant genus with about 156 species. Classification of Lepidagathis and Lophostachys has been under debate for long. The genus is mainly Asian in distribution, followed by Africa, with an odd distribution of over a quarter of its diversity in the Neotropics. Aims: Given its pantropical distribution, we hypothesised that this pattern may be due to long distance dispersal followed by radiation in either the Old World or New World. Therefore, we aimed to test the monophyly of the Old World and New World species and trace its ancestral area using molecular dating and biogeographical analysis. Materials and Methods: We used 28 Lepidagathis sensu lato (s.l.) species, with seven molecular markers (ITS, trnL-LF, trnSG, trnGR, psbA-trnH, rps16 and rbcL), and conducted single-gene phylogenies. Later, we used a concatenated dataset of five markers (ITS, trnL-LF, trnSG, trnGR and rps16) to perform molecular dating based on secondary calibration as well as primary calibration. For historical biogeography, we applied two schemes: one treating peninsular Indiahome to about 35 speciesas a distinct region, and another grouping it with Southeast Asia. Results: Our study of the 28 species resolved Lepidagathis into three well-supported clades and supported its broad circumscription (sensu lato), including the former Lophostachys. The combined gene phylogeny places the African monotypic genus Schaueriopsis variabilis and the Asian genus Chroesthes within Lepidagathis s.l. Historical biogeography under the DIVALIKE+J model identified Africa as the most likely ancestral area for the genus, with Indian endemic species derived from Neotropical ancestors. In an alternative scheme, which included India within Asia, it was inferred that Lepidagathis s.l. has evolved from Asia, with all three lineages within Lepidagathis s.l. also with Asian ancestry. Discussion: The timing of the dispersal events out of Africa into the neotropics, and dispersal into the paleotropics, was during the late Oligocene, suggesting that it must have been long-distance dispersal, as there were no land bridges connecting the Americas with the Old World. Conclusion: This phylogenetic study, together with the biogeographical analysis demonstrates that Lepidagathis and Lophostachys represent independently evolving lineages that can be recognised as distinct subgenera. Moreover, Lepidagathis s.l. provides strong evidence for long-distance intercontinental dispersal events, inferred to have occurred during the late Oligocene. Our biogeographical analysis, along with the genus's greatest species diversity in Asia, supports an Asian origin for Lepidagathis as the more plausible scenario. 2026 John Wiley & Sons Ltd.
Surveswaran, Siddharthan; Agarwala, Kuldeep P.; Somani, Shriti; Bhagyasree Raveendran, V.R.; Vasudha, Sangoji; Toms, Ashna
Journal of Biogeography;Volume;53;Issue;3;Article No.;e70170;
Restricted Access; Hardcopy may be available in the library
https://doi.org/10.1111/jbi.70170 https://www.scopus.com/pages/publications/105032128278?origin=resultslist
Surveswaran S., Department of Plant Sciences, School of Life Sciences, University of Hyderabad, Telangana, Hyderabad, India; Agarwala K.P., Department of Plant Sciences, School of Life Sciences, University of Hyderabad, Telangana, Hyderabad, India, Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Somani S., Department of Plant Sciences, School of Life Sciences, University of Hyderabad, Telangana, Hyderabad, India, Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Bhagyasree Raveendran V.R., Department of Plant Sciences, School of Life Sciences, University of Hyderabad, Telangana, Hyderabad, India; Vasudha S., Department of Plant Sciences, School of Life Sciences, University of Hyderabad, Telangana, Hyderabad, India; Toms A., Department of Botany, University of Calicut, Kerala, Malappuram, India
Beyond Humour: How Memes Shape Brand Associations and Drive Purchase Choices
Consumer purchase; Meme branding; Meme marketing
Memes are the perfect marketing tools a brand can use while promoting their products or services. In this ever-changing consumer preferences memes are the convenient marketing tools that a consumer pays attention, the usage of memes has become a completely modern approach for brands to seek the attention of consumers. The study examines the impact of internet meme that spreads through social media which catches the consumer attention and improves the intention of purchasing products and also learn about the brands. A structured questionnaire and convenience sampling technique are designed to collect data from frequent internet users who are active in social media from Gen-z and have at least a little knowledge on meme marketing, and responses yielded were 353. This paper gives a general study of meme marketing and if the consumer brand relatability and purchase decisions are affected by meme marketing. The findings state that there is a relationship between branding memes and consumer brand relatability and using the memes in social handles affect the consumer behaviour however there is a discomfort among consumers when brands solely use memes for marketing purposes. Also the study found that there is no significance between Gender and meme motivation into buying products. Thus the study contributes to understand the consumer behaviour, purchase intention and likeliness towards the brands. In addition, the authors contribute to the finding the significance of meme in daily life of a consumer and what type of memes would pursue consumers more towards the brand. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Surya P.M.; Chellasamy A.; Nagarathinam A.; Pachiyappan S.; Deepika S.R.
Studies in Systems, Decision and Control, Vol-223, pp. 341-352.
Springer Science and Business Media Deutschland GmbH
Surya P.M., School of Business and Management, CHRIST (Deemed to be University), Bengaluru, India; Chellasamy A., School of Business and Management, CHRIST (Deemed to be University), Bengaluru, India; Nagarathinam A., School of Business and Management, CHRIST (Deemed to be University), Bengaluru, India; Pachiyappan S., School of Business and Management, CHRIST (Deemed to be University), Bengaluru, India; Deepika S.R., School of Business and Management, CHRIST (Deemed to be University), Bengaluru, India
Innovative Natural Disaster Precautionary Methods Through Virtual Space
3D environment; Humancomputer interaction; Immersion; Interaction; Natural disasters; Precautionary; Simulation; Virtual reality
Humancomputer interaction is the study of a human and computer interaction in which we analyze and create an interface between the humans and the computer to decide to which extent it is possible to interact with computers which change the way of the usual lifestyle that can evolve the future generations according to the humans convenience. Virtual reality environments in natural disasters are to train people to overcome or prevent their lives from risky situations. When it comes to natural disasters, people never know when such disasters strike in their daily lives, so it is necessary to be prepared to face such consequences. Though the rescuers are there to save the lives of the people, it is not possible to wait for the rescuers all the time, and the situations may also be even worse than the expected. It becomes highly impossible to take precautionary measures; therefore, after the warning of the disaster, people can prepare themselves to survive such situations without the help of rescuers. Different disasters happen in different landscapes; for example, Tsunami occurs in the sea, floods occur as a temporary disaster that covers the land with water, usually not covered by water, and many other disasters that cause life and damage property. Therefore, with the help of virtual reality simulation, people can be trained according to the scenarios or the natural disaster created by the computer-generated 3D environment where the trainee can interact and perform actions generated based on the scenarios. In the virtual world, provided in the head-mounted display, the user can be trained upon by first instructing what to be done and later, after understanding the situation, the trainee is put into a natural disaster scenario where he performs the precautionary measures that need to be done based on the scenario and prepare accordingly in such situations so that before the arrival of the rescuers, people would be more aware of what measures to be taken and react accordingly in such a way that it reduces the risk of life. The chapter further explains in detail about humancomputer interaction (HCI), virtual reality (VR), advantages and disadvantages of virtual reality, various natural disasters, and the role and impact of VR environment in creating awareness and providing precautionary measures for preventing natural disasters. When it comes to immersive technology and smart cities, it is equally important to make everything smart according to the changing generations and technologies in our day-to-day lives. On the other hand, when dealing with people to make them understand and educate things, we must also enhance teaching and make them feel interested in whatever we impose on them. So, when we give the people a 360-degree view or a three-dimensional view of the scenarios, it helps them experience like they are actually into the scenario to understand and make immediate decisions. The advantage of using such immersive technology is that when errors or misjudgments are made to learn from the mistakes and correct it, it helps them understand the scenario and take spot and efficient decision at the time of disasters which will have a significant impact on rescuing the lives of the people. 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
EAI/Springer Innovations in Communication and Computing, pp. 67-82.
Surya S., Department of Computer Science, Christ University, Bangalore, India; Aurelia S., CHRIST (Deemed to be University), Bangalore, Karnataka, India
A Machine Learning Entrenched Brain Tumor Recognition Framework
Brain tumor; Confusion matrix; Convolutional Neural Networks; Image processing; Machine learning; Mobile application
Brain tumor detection plays a significant role in medical image processing. Treatment for patients with brain tumors is primarily dependent on faster detection of these tumors. More rapid detection of brain tumors will help in the improvement of the patient's life chances. Diagnosis of brain tumors by doctors most commonly follow manual segmentation, which is difficult and time-consuming; instead, automatic detection is necessary. Nowadays, automatic detection plays a vital role and can be a solution to detecting brain tumors with better performance. Brain tumor detection using the MRI images method is an essential diagnostic tool for predicting brain tumors; the implementation for these kinds of detection can be done using various machine learning algorithms and methodologies. It helps the doctors understand the actual progression of the evolving tumor, allowing the doctors to decide how the treatment has to be given for that particular patient and measures required to follow up. Therefore, the intention is to create a framework to detect brain tumors in MRI images using a machine learning algorithm and analyze the performance of the brain tumor detection using sensitivity and specificity, which helps us to analyze how well the algorithm has performed in detecting the brain tumors accurately and develop a mobile application framework in which the MRI images can be directly scanned to know whether the cancer is present in a scanned MRI image or not. 2022 IEEE.
Proceedings of the International Conference on Electronics and Renewable Systems, ICEARS 2022, pp. 1372-1376.
Institute of Electrical and Electronics Engineers Inc.
https://doi.org/10.1109/ICEARS53579.2022.9752195 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128934305&doi=10.1109%2fICEARS53579.2022.9752195&partnerID=40&md5=ff25dcfe71bdddc3401add20e04b2c34
Surya S., Christ University, Dept. Computer Science, Bangalore, India; Aurelia S., Christ University, Dept. Computer Science, Bangalore, India
Maximal matching cover pebbling number for variants of hypercube
Cover pebbling number; Graph pebbling; Maximal matching; Maximal matching cover pebbling number
An edge pebbling move is defined as the removal of two pebbles from one edge and placing one on the adjacent edge. The maximal matching cover pebbling number, fmmcp(G), of a graph G, is the minimum number of pebbles that must be placed on E(G), such that after a sequence of pebbling moves the set of edges with pebbles forms a maximal matching regardless of the initial configuration. In this paper, we find the maximal matching cover pebbling number for variants of hypercube. (2023), (SciELO-Scientific Electronic Library Online). All Rights Reserved.
Proyecciones, Vol-42, No. 4, pp. 931-956.
Surya S.S., Stella Maris College(Autonomous), India; Mathew L., CHRIST (Deemed to be University), India
In-silico validation of novel therapeutic activities of withaferin a using molecular docking and dynamics studies
Anti-cancer; anti-diabetic; cholesterol reduction; docking; W. somnifera; Withaferin A
Withaferin A is a bioactive molecule of W. somnifera. We access its efficacy against various target proteins associated with Cancer, Type-II Diabetes and hypercholesterolemia using molecular docking. Although its efficacy against some of these targets have been reported earlier, we validate each mechanism in order to report the most appropriate mechanism of action. We explain the anti-cancer activity of Withaferin A by inhibition of Mortalin (mtHsp70) and Nrf2 protein with binding energies ?8.85 kcal/mol and ?12.59 kcal/mol respectively. Similarly, the anti-diabetic activity could be explained by inhibition of alpha and bet?-glucosidase with binding energies ?6.44 and ?4.43 kcal/mol respectively and the cholesterol reduction could be explained by its ability to inhibition of NPC1 and SRB1 with binding energies ?5.73 and ?7.16 kcal/mol respectively. The molecular dynamics of the apoprotein and the protein-ligand complex simulated for the best targets of each activity namely Nrf2 protein for anti-cancer, ?-glucosidase for anti-diabetic and SR-B1 for anti-hypercholesterolemia activity indicated the formation of stable complexes due to low RMSD deviations, low RMSF fluctuations and low RG values after the docking simulation. Finally, an ADME + T (Adsorption, distribution, metabolism, excretion and toxicity) prediction on Withaferin A showed that it obeyed all the Lipinskys rules and qualified the drug-like criteria. All these results validate that Withaferin A possess potential anti-cancer, anti-diabetic and cholesterol reducing properties. This is the first report that indicates the possibility of Withaferin A binding and inhibiting SR-B1 as a mechanism of its anti-hypercholesterolemia activity. 2022 Informa UK Limited, trading as Taylor & Francis Group.
Journal of Biomolecular Structure and Dynamics, Vol-41, No. 11, pp. 5045-5056.
ISSN: 7391102; PubMed ID: 35608923; CODEN: JBSDD
Surya Ulhas R., Applied and Industrial Biotechnology Laboratory, Department of Life Sciences, CHRIST (Deemed-to-Be University), Karnataka, Bangalore, India, Faculty of life sciences, University of Jena, (Friedrich-Schiller-Universit Jena), Jena, Germany; Malaviya A., Applied and Industrial Biotechnology Laboratory, Department of Life Sciences, CHRIST (Deemed-to-Be University), Karnataka, Bangalore, India
A review of alternative proteins for vegan diets: Sources, physico-chemical properties, nutritional equivalency, and consumer acceptance
Algal protein; Alternative protein; Meat alternate; Mycoprotein; Plant-based protein; Protein recovery; Sustainable development; Vegan diet
Alternate proteins are gaining popularity as a more sustainable and environmentally friendly alternative to animal-based proteins. These proteins are often considered healthier and are suitable for people following a vegetarian or vegan diet. Alternative proteins can be recovered from natural sources like legumes, grains, nuts, and seeds, while single cell proteins (mycoproteins), and algal proteins are being developed using cutting-edge technology to grow fungus, yeast and algal cells in a controlled environment, creating a more sustainable source of protein. Although, the demand for alternative protein products is increasing, there still happens to be a large gap in use among the general consumers mainly stemming from its lower bioavailability, lack of nutritional equivalency and reduced digestibility compared to animal proteins. The focus of the review is to emphasize on various sources and technologies for recovering alternative proteins for vegan diets. The review discusses physicochemical properties of alternative proteins and emphasise on the role of various processing technologies that can change the digestibility and bioavailability of these proteins. It further accentuates the nutritional equivalency and environmental sustainability of alternative protein against the conventional proteins from animals. The food laws surrounding alternative proteins as well as the commercial potential and consumer acceptance of alternative protein products are also highlighted. Finally, key challenges to improve the consumer acceptability and market value of plant-based proteins would be in achieving nutrient equivalency and enhance bioavailability and digestibility while maintaining the same physicochemical properties, taste, texture, as animal proteins, has also been highlighted. 2023 The Authors
Surya Ulhas R.; Ravindran R.; Malaviya A.; Priyadarshini A.; Tiwari B.K.; Rajauria G.
All Open Access; Hybrid Gold Open Access
ISSN: 9639969; PubMed ID: 37803803; CODEN: FORIE
https://doi.org/10.1016/j.foodres.2023.113479 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172664084&doi=10.1016%2fj.foodres.2023.113479&partnerID=40&md5=a0cfe940aee6fee2dbb50e33a4766cee
Surya Ulhas R., Faculty of Biological Sciences, Friedrich Schiller University, Jena, Germany; Ravindran R., Circular Bioeconomy Research Group, Shannon Applied Biotechnology Centre, Munster Technology, Tralee, Ireland; Malaviya A., Applied and Industrial Biotechnology Laboratory, Department of Life Sciences, CHRIST (Deemed-to-Be University), Karnataka, Bangalore, India, QuaLife Biotech Private Limited, Hosur Road, Karnataka, Bangalore, India; Priyadarshini A., Environmental Sustainability & Health Institute, Technological University Dublin, Dublin, Ireland; Tiwari B.K., Department of Food Chemistry and Technology, Teagasc Food Research Centre, Ashtown, Dublin, Ireland; Rajauria G., Circular Bioeconomy Research Group, Shannon Applied Biotechnology Centre, Munster Technology, Tralee, Ireland, School of Microbiology, School of Food and Nutritional Sciences, University College Cork, Cork, Ireland, SUSFERM Centre for Sustainable Fermentation and Bioprocessing Systems for Food and the Bioeconomy, University College Cork, Cork, Ireland
Current status and future trends on the use of innovative technologies for recovering bioactive from insects
Bioactive compounds; Cold atmospheric pressure plasma; Emerging technology; Functional food; High hydrostatic pressure; Insect processing
Edible insects hold great potential as human food owing to their nutritional, economic and environmental value. Though, the negative perceptions of insects limit their intake by majority of the insects, their efficient processing and utilization in food products have steadily increased their demand in recent years. This chapter deals with the emerging and advanced extraction techniques for recovering functional and bioactive compounds from insects, considering the various factors which might influence the optimum yields. Apart from their production yields, it is of utmost significance to preserve their nutritional and sensory qualities for their effective utilization in functional food products. In this regard, various emerging technologies such as enzymatic hydrolysis, cold atmospheric pressure plasma, ultrasound-assisted extraction, high hydrostatic pressure have been explored. Mechanisms of action along with their benefits and drawbacks have been thoroughly described in the later part of the chapter which will provide insight to the readers for the selection of optimum technology for insect processing. Overall, this chapter provides the readers a comprehensive view about alternatives to conventional techniques for postprocessing of insects and optimization for case-specific technology. 2024 Elsevier Inc. All rights reserved.
Surya Ulhas R.; Sharma H.; Malaviya A.; Rajauria G.
Insects as Food and Food Ingredients: Technological Improvements, Sustainability, and Safety Aspects, pp. 145-159.
Surya Ulhas R., Faculty of Biological Sciences, University of Jena (Friedrich-Schiller-Universit), Jena, Germany; Sharma H., Dairy Technology Division, ICAR-National Dairy Research Institute, Haryana, Karnal, India; Malaviya A., Department of Life Sciences, School of Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, India, QuaLife Biotech Private Limited, Karnataka, Bengaluru, India; Rajauria G., School of Microbiology, School of Food and Nutritional Sciences, University College Cork, Cork, Ireland, SUSFERM Centre for Sustainable Fermentation and Bioprocessing Systems for Food and the Bioeconomy, University College Cork, Cork, Ireland
How AI and other Emerging Technologies are Disrupting Traditional HR Practices
Artificial Intelligence; Emerging technologies; Human Resource Management; Technologies
With technology running and changing this whole generation and the way it works, this dynamic leads to changes in the conventional ways of Human resource management (HRM). The environment of HRM has shifted from traditional to modern with the use of various automation tools with the help of digital transformations that include Artificial intelligence (AI) in employee management, multiple software to track the applications, payroll, performance management systems. These have caused a drastic change in the basic traditional operations in human resource management. This paper is a study about how AI and various other emerging technologies have a significant effect on the workplace, the employees, and their mindset on the dynamic digital environmental transformation. 2024 IEEE.
Suryanarayanan U.; Nair R.; Singh A.; Sharma M.
TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024
Suryanarayanan U., Christ University, India; Nair R., Christ University, India; Singh A., Christ University, India; Sharma M., Christ University, India
Sugarcane Leaf Disease Classification Using Convolutional Neural Network
bacterial leaves; Classify; Convolutional Neural Network; image dataset
Indian sugarcane is of good quality, and the country exports significant quantities of sugar and sugarcane-based products to various countries worldwide. However, the quality of the sugarcane can vary depending on the specific variety and growing conditions, and exporters need to ensure that the product meets the quality standards of the importing country. To maintain the quality of sugarcane during transportation, it is crucial to ensure that it is harvested at the right time and handled carefully during loading and unloading. However, the farmers cultivating the sugarcane face a significant issue dealing with bacterial infection in the plants. In order to stop the disease from spreading further, we use Convolutional Neural Networks in our article to extract information from sugarcane leaves and construct an algorithm that accurately classifies bacterial leaves. Using an image dataset that includes pictures of both healthy and ill plants, identifying the image's key characteristics, and using the image to help the classifier provide a reliable result are all included in the total process. Our study will save farmers time and effort by identifying the decaying plants by looking for bacterial patches on the leaves. 2024 IEEE.
Suryaprabha D.; Saraswathi S.; Lekha J.; Loghesh V.S.
Suryaprabha D., Nehru Arts and Science College, Dept. of It & Dcfs, Coimbatore, India; Saraswathi S., Academic Affairs Nehru Arts and Science College, Coimbatore, India; Lekha J., Christ University, Dept.of Data Science, Lavasa, Pune, India; Loghesh V.S., Christ University, Dept.of Data Science, Lavasa, Pune, India
Designing Bifunctional Electrocatalysts Based on Complex Cobalt-Sulfo-Boride Compound for High-Current-Density Alkaline Water Electrolysis
In the quest to harness renewable energy sources for green hydrogen production, alkaline water electrolysis has emerged as a pivotal technology. Enhancing the reaction rates of overall water electrolysis and streamlining electrode manufacturing necessitate the development of bifunctional and cost-effective electrocatalysts. With this aim, a complex compound electrocatalyst in the form of cobalt-sulfo-boride (Co-S-B) was fabricated using a simple chemical reduction method and tested for overall alkaline water electrolysis. A nanocrystalline form of Co-S-B displayed a combination of porous and nanoflake-like morphology with a high surface area. In comparison to Co-B and Co-S, the Co-S-B electrocatalyst exhibits better bifunctional characteristics requiring lower overpotentials of 144 mV for hydrogen evolution reaction and 280 mV for oxygen evolution reaction to achieve 10 mA/cm2 in an alkaline electrolyte. The improved Co-S-B performance is attributed to the synergistic effect of sulfur and boron on cobalt, which was experimentally confirmed through various material characterization tools. Tafel slope, electrochemical surface area, turnover frequency, and charge transfer resistance further endorse the active nature of the Co-S-B electrocatalyst. The robustness of the developed electrocatalyst was validated through a 50 h chronoamperometric stability test, along with a recyclability test involving 10,000 cycles of linear sweep voltammetry. Furthermore, Co-S-B was tested in an alkaline zero-gap water electrolyzer, reaching 1 A/cm2 at 2.06 V and 60 C. The significant activity and stability demonstrated by the cobalt-sulfo-boride compound render it as a promising and cost-effective electrode material for commercial alkaline water electrolyzers. 2024 The Authors. Published by American Chemical Society.
Suryawanshi A.; John R.A.B.; Bhide A.; Gupta S.; Spreitzer M.; Patel R.; Fernandes R.; Patel N.
https://doi.org/10.1021/acs.energyfuels.4c03171 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205916404&doi=10.1021%2facs.energyfuels.4c03171&partnerID=40&md5=92a6c3796a99eaeb010eb7020633949c
Suryawanshi A., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; John R.A.B., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Bhide A., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Gupta S., Advanced Materials Department, Jozef Stefan Institute, Jamova 39, Ljubljana, 1000, Slovenia; Spreitzer M., Advanced Materials Department, Jozef Stefan Institute, Jamova 39, Ljubljana, 1000, Slovenia; Patel R., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Fernandes R., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Patel N., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India
Tailoring acid-base sites and oxygen vacancies in boron- and sulfur-integrated cobalt oxide for high-performance NaBH4 dehydrogenation
Cobalt oxide; Hydrogen production; Hydrolysis reaction; Oxygen vacancies; Sodium borohydride
Catalytic hydrolysis of sodium borohydride (NaBH4) offers an effective route for on-demand hydrogen generation. In this study, we develop a sulfur and boron modified cobalt oxide catalyst (S-B-CoxOy), through controlled calcination, for hydrogen production from NaBH4. The catalyst achieves a high hydrogen generation rate of 5,400 mL min?1 g?1, facilitated by synergistic enhancements in crystallinity, defect density, and acid-base site distribution. Sulfur and boron incorporation enhances oxygen vacancies and increases active site density, promoting efficient adsorption and activation of NaBH4 and water. NH3-TPD and CO2-TPD confirm balanced acid-base functionalities crucial for electron transfer and intermediate stabilization. A thermally induced phase transition from Co3O4 to CoO, along with increased surface area, further boosts activity. Kinetic studies reveal a zero-order dependence on NaBH4 concentration, demonstrating that the reaction rate is primarily governed by the catalyst's surface properties. This work highlights the importance of defect engineering and surface tuning for efficient hydrogen generation. 2025
Suryawanshi, Akash; Abraham, Anitha; Gupta, Suraj; Patel, Rupali; Fernandes, Rohan; Patel, Nainesh
International Journal of Hydrogen Energy;Volume;200;Issue;;Article No.;152927;
https://doi.org/10.1016/j.ijhydene.2025.152927 https://www.scopus.com/pages/publications/105024344243?origin=resultslist
Suryawanshi A., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Abraham A., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Gupta S., Advanced Materials Department, Joef Stefan Institute, Jamova 39, Ljubljana, 1000, Slovenia; Patel R., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Fernandes R., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Patel N., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India