Browse Items (16481 total)
Sort by:
-
K? to K? X-ray intensity ratio and KL vacancy transfer probability of Mn following electron capture decay
K? and K? X-rays of Mn following electron capture (EC) decay of55 Fe were detected using Amptek XR-100 T-CdTe X-ray detector spectrometer. Measured K? and K? X-ray intensities of Mn were used to determine the K? to K? intensity ratio and total KL total vacancy transfer probability. These values were compared with the theoretical, semiempirical, and others experimental values obtained via EC decay as well as photoionization. The X-ray intensity ratio of Mn was found to be higher by 1.5% from the relativistic Hartree-Slater theoretical value. This deviation may be attributed to the exchange interactions occurring between the 3p and 3d shell electrons as well as the recoil effect of the nucleus due to neutrino emission. 2023 The Author(s). -
Crystal and Molecular Structure of 1,1-Bis(methylthio)-5-(4-chlorophenyl)-1,4-pentadien-3-one
Journal of Crystallography, pp. 2014. -
Psychosocial Adjustment of Institutionalised Children: A Thematic Analysis of Caregiver Perspectives in Delhi
Background: A substantial proportion of institutionalised children come from environments marked by exploitation, parental death or incapacity, and unstable housing. Prior research indicates that early life trauma and institutionalisation adversely affect emotional regulation and psychosocial adjustment. Purpose: This study examines how trauma, institutional environments in Indian child care settings, and the absence of stable familial support influence childrens psychosocial development and their preparedness for life outside institutional care. Methods: A qualitative design was adopted. Five caregivers from a boys child care institution in Jahangirpuri, Delhiserving as Child Protection Officer, counsellor, housefather, and other roleswere interviewed. Data were analysed using thematic analysis as outlined by Clarke and Braun. Results: Caregivers reported persistent challenges among children, including verbal and physical aggression, low academic motivation, and difficulties in emotional regulation and forming social relationships. These findings reflect the compounded effects of trauma and institutional living conditions. Conclusion: The study underscores the significant impact of trauma and institutionalisation on psychosocial development. It highlights the need for trauma-informed care and strengthened support systems to improve developmental outcomes and facilitate successful reintegration into society. The Author(s) 2026. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). -
Leveraging Generative AI to Address Behavioral Biases in the Investment Decisions of Gen Z and Millennials
GAI alters financial decision-making behavior through advanced data analytics, trend prediction, and personal recommendation. Generation Z and the Millennials are more susceptible to behavioral biases like herd mentality, loss aversion, overconfidence, and fear. Such tendencies make people prone to frequently exhibiting instinctive or irrational investment behaviors, thus severely impacting their long-term financial outcome. In the context of this book, the relationship between behavioral finance and GAI is discussed with the benefits of enhancing investment literacy and in guiding the younger investor towards data-driven decisions. Other areas on data quality and transparency, ethical concerns, and regulatory compliance are discussed. Hence, this can result in intelligent and rational investment decisions. The subsequent section explains how GAI successfully eliminates the effects of cognitive biases through an enhancement of the capabilities concerning decision-making in respect of financial choices related to Generation Z and millennials under the everchanging finance landscape. 2026, IGI Global Scientific Publishing. All rights reserved. -
Exploring the Digital Revolution in Education in India during the COVID-19 Pandemic
One important response to COVID-19 was the intensification of the use of digital media to deliver education. However, the results are paradoxical, since the digital revolution did not lead to improvement of the social quality of teachers working circumstances. We ana-lyze internal or subjective oriented constitutional and external or objective orientated conditional factors related to teachers that determine the adaptation of digitalization, taking a social quality perspective. Through a case study in the most advanced educational hub of IndiaDelhiwe find that the digital revolution helped India to address the first-order problems in digital transformation, namely concerning objective infrastructural facilities. The second-order problems, particularly changing the subjective belief structures of teachers related to the integration of technologies, appear to remain a challenge. As India has recently adopted a new education policy (2020), the findings of our study have significant relevance to improving the accessibility and utilization of digital technology in educational spaces. The Author(s). -
Smart car - accident detection and notification using amazon alexa
The high demand for automobiles has increased traffic hazards and road accidents. Life of the people is under high risk. This is because of the lack of the best emergency facilities available in the country. The proposed system can detect accidents in significantly less time and sends the basic information first to aid center and relatives of the victim on mobile and Amazon Alexa within a few seconds covering geographical coordinates. Various devices like Arduino UNO for car movement demonstration, Arduino Mega for accident detection and Raspberry Pi 3B for internet services gateway, accelerometer and impact sensor working together to detect an accident. All connected over the internet to generate a huge amount of data which holds a lot of information about the occurrence of the accident based on the speed and location and can be used to detect accident hotspots. The system also focuses on the safety of pedestrians where a safety band is programmed to perform the notification services using an emergency push button. The ESP8266 NodeMCU invokes the same services using a button on the module. The data generated may be used for the prediction, analysis to prevent future accidents and contribute to future road safety. Springer Nature Switzerland AG 2020. -
Floral waste as a potential feedstock for polyhydroxyalkanoate production using halotolerant Bacillus cereus TS1: optimization and characterization studies
The versatile properties and high degree of biodegradability of polyhydroxyalkanoates (PHA) have made them the ideal candidate for biomedical and other applications. Although extensive research on PHA-producing bacterial isolates from terrestrial environments is documented in the available literature, the potential of marine bacterial isolates in PHA production remains less explored and offers a great scope for future research. This research work primarily focuses on isolation and characterization of PHA-producing bacterial isolates from samples collected from coastal areas of Kerala, India. Furthermore, the possibility of PHA production from the most potential isolate Bacillus cereus TS1 using jasmine waste hydrolysate-based media was explored in this study. The utilization of floral waste hydrolysate (FWH) for PHA fermentation is not widely discussed in the available literature and is the major novelty factor of this research work. Under optimized conditions of glucose (1.2% w/v), yeast extract (0.15% w/v), NaCl (5.02% w/v), and incubation period (60h), a maximum PHA yield of 1.13g/L was achieved. The characterization of PHA polymer was done using Fourier transform infrared (FTIR) spectroscopy, nuclear magnetic resonance (NMR), X-ray diffraction (XRD) and thermogravimetric analysis (TGA). Thus, this research work integrates floral waste valorisation with microbial biopolymer production and highlights an innovative approach for sustainable development. The scale of this method on an industrial scale in future may prove helpful in the cost-effective production of PHA using cheap raw materials. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. -
Isolation and characterization of polyhydroxyalkanoate producing halotolerant Bacillus subtilis SG1 using marine water samples collected from Calicut coast, Kerala
Halotolerant bacterial strain isolated from the Calicut coast, Kerala, India, was screened for its potential ability to synthesize polyhydroxyalkanoates (PHA) using Sudan black B and Nile blue staining. The quantitative analysis for PHA production was done in modified M9 media and a PHA yield of about 1.52 g/L was observed with the most potential isolate SG1. Further, the biochemical and molecular characterization of the PHA-producing halotolerant bacteria was done using standard biochemical tests and 16 s ribosomal RNA sequencing respectively and the isolate was identified to be Bacillus subtilis SG1. Further, the PHA recovery was done using solvent extraction method employing acetone and diethyl ether followed by precipitation using chloroform with a maximum PHA yield of 1.52 g/L. Further, the material properties of the extracted polymer were studied using Fourier transform infrared, X-ray diffraction, nuclear magnetic resonance, thermo gravimetric analysis, and differential scanning calorimetry analysis. Further investigations are necessary to optimize PHA production and to carry out its application study in various fields. 2024 Sneha Grigary, et al. -
Floral waste as a potential feedstock for polyhydroxyalkanoate production using halotolerant Bacillus cereus TS1: optimization and characterization studies
The versatile properties and high degree of biodegradability of polyhydroxyalkanoates (PHA) have made them the ideal candidate for biomedical and other applications. Although extensive research on PHA-producing bacterial isolates from terrestrial environments is documented in the available literature, the potential of marine bacterial isolates in PHA production remains less explored and offers a great scope for future research. This research work primarily focuses on isolation and characterization of PHA-producing bacterial isolates from samples collected from coastal areas of Kerala, India. Furthermore, the possibility of PHA production from the most potential isolate Bacillus cereus TS1 using jasmine waste hydrolysate-based media was explored in this study. The utilization of floral waste hydrolysate (FWH) for PHA fermentation is not widely discussed in the available literature and is the major novelty factor of this research work. Under optimized conditions of glucose (1.2% w/v), yeast extract (0.15% w/v), NaCl (5.02% w/v), and incubation period (60h), a maximum PHA yield of 1.13g/L was achieved. The characterization of PHA polymer was done using Fourier transform infrared (FTIR) spectroscopy, nuclear magnetic resonance (NMR), X-ray diffraction (XRD) and thermogravimetric analysis (TGA). Thus, this research work integrates floral waste valorisation with microbial biopolymer production and highlights an innovative approach for sustainable development. The scale of this method on an industrial scale in future may prove helpful in the cost-effective production of PHA using cheap raw materials. Graphical Abstract: [Figure not available: see fulltext.]. 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. -
Enhancing customer satisfaction through artificial neural networks (ANNS): Principles, architectures, and practical applications
Artificial neural networks (ANNs) are a powerful paradigm in AI, inspired by the complex structure of the human brain. Their design mirrors biological neural networks that govern the human nervous system, allowing ANNs to excel in tasks from pattern recognition to decision-making. This chapter explores the foundational principles of ANNs, highlighting the interplay between neuroscience and computer science, where digital systems replicate or sometimes surpass human cognitive abilities. The study examines ANNs in various customer-focussed applications, where businesses can leverage ANNs to increase customer satisfaction by predicting and influencing consumer behaviour. This chapter provides an overview of the core principles, architectures, and broad applications of ANNs. It seeks to offer historical insights, understanding the evolution of ANNs and their mathematical foundations. The research explores the building blocks of neural networks, including neurons, layers, and activation functions, and their importance in pattern recognition and information processing. Special emphasis is given to popular architectures like feedforward, recurrent, and convolutional neural networks. ANNs' versatility is demonstrated through surveys of their applications in finance, robotics, and healthcare. This chapter addresses real-world challenges and potential solutions in these domains. This chapter serves as a valuable resource for researchers and practitioners interested in understanding ANNs, how they work, their development, and future advancements in the field. It discusses ANNs' impacts in finance, healthcare, and robotics, alongside ethical considerations. This original contribution provides fresh insights into ANNs, making it valuable for those exploring this emerging topic. 2025 Diva Kaur Grewal, Vanishree Senthilkumaran and Hridhya P. K.. Published under exclusive licence by Emerald Publishing Limited. All rights reserved. -
Why Some Old Songs Are Still Evergreen Even Today?
The enduring appeal of old songs across generations raises questions about the factors contributing to their timelessness. This research investigates these factors using a deep learning framework that integrates MusicBERT, a model for symbolic music understanding, with Graph Neural Networks (GNNs). By analyzing a dataset of song features, including lyrics, melody, rhythm, and emotional tone, the study identifies patterns associated with the evergreen status of songs. Key findings emphasize cultural significance, emotional resonance, and universal themes as critical contributors to their lasting popularity. The research offers novel insights into the intersection of music, culture, and technology, with implications for music production, distribution, and cultural heritage preservation. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Panel data analysis of Indian textile exports in the post quota period /
Trade And Development Review, Vol. 11, Issue 1-2, pp.1-27. -
Grandparenting in Urban Bangalore, India: Support and Involvement From the Standpoint of Young Adult University Students
A variety of caregivers, including grandparents, help raise children. Among grandparents, most Western samples evidence a matrilateral (i.e., mothers kin) bias in caregiving, and many studies show more positive impacts and stronger relationships with grandmothers than grandfathers. The aim of the present study is to test competing hypotheses about a potential laterality bias and explore contrasts between grandmothers and grandfathers in a sample of urban young adult university students in Bangalore, India. A sample of 377 (252 women) relatively mobile and high socioeconomic status individuals 17 to 25 years of age completed a survey consisting of sociodemographic and grandparenting questions. Results reveal generally little evidence of either a patrilateral or matrilateral bias, though findings varied for some outcomes. As illustrations, there were no differences in residential proximity or the most recent time when a participant saw matrilateral or patrilateral grandparents, whereas maternal grandmothers were more approving of ones choice of a life partner than were paternal grandmothers. In inductively coded responses to an open-ended item about the roles of grandparents, maternal grandmothers were more often identified as guides and less often deemed non-significant than paternal grandmothers, while paternal grandfathers were less often viewed as guardians and more often noted for their influence compared with maternal grandparents. Findings also revealed differences between grandmothers and grandfathers, such as grandmothers playing more prominent roles in community and religious festivals. Findings are interpreted within changing residential, work, education, and family dynamics in urban India as well as a primary importance on parents relative to grandparents. The Author(s) 2019. -
Sexual Selection, Signaling and Facial Hair: US and India Ratings of Variable Male Facial Hair
Objective: The objective of this study was to address the putative ancestral social signaling value of male facial hair, in concert with variable cultural meaning. The ability to grow facial hair might have served as an honest ancestral signal of male age, social dominance, strength and health. Male facial hair may also have had signaling value for attractiveness, though these might be less strong than effects tied to male-male competition. Male facial hair can also be modified, giving rise to cultural variation in its potential signaling function. Methods: We surveyed N= 252 US men and women and N= 280 Indian men and women, ages 1825, about sociodemographics and attitudes toward male facial hair. Participants rated a randomized series of nine images of a composite male model with facial hair with respect to: preferred style, estimated age, attractive to potential partners, assertive, physically strong, friendly, and healthy. Types of facial hair were group into three categories: clean shaven, partial (e.g., Van Dyke, soul patch, stubble) and beard. Results: Supporting hypothesized differences, results show that more male facial hair was positively associated with age estimates and negatively with friendliness, and positively related to assertiveness and physical strength. Supporting hypotheses, women preferred less facial hair and rated less facial hair as more attractive. Some sample differences arose, such as Indian participants perceiving greater age range estimates than US respondents. Conclusion: These data indicate patterned variation in evaluations of male facial hair that can be situated within an evolutionary and culturally evolved signaling framework. 2020, Springer Nature Switzerland AG. -
Overcoming challenges in 5G performance evaluation and QoE management
As the 5G technology is being rolled out in phases, the world over, there is a need for efficient and effective 5G network planning and Quality of Experience. One way a country planning to adopt 5G could plan the logistics of laying out the network, could be through learning best practices from peers. Which peer to follow is subjective to each country in question. Therefore, in choosing these references/benchmark countries, a thorough knowledge of their performance is vital. Yet another factor that impacts 5G network planning is effective QoE management. Proper QoS provisioning over the network is very important even as countries strive to cater the best possible services to their citizens. This is made possible by identifying improvement needs of countries on its user QoE. By quantifying this need, suitable benchmarks could be set and achieved in the short or long terms thereby enabling the countries to provide better services to their people. Determining the right benchmarking and evaluation technique is the need of the hour. 2025 -
Towards a Smarter Connected Society by Enhancing Internet Service Providers' QoS metrics using Data Envelopment Analysis
This paper analyses wireline broadband Quality of Service (QoS) metrics of India's small and medium Internet Service Providers (ISPs). Key Performance Indicators (KPIs) used in this analysis are - Fault repair (>90% in 1 working day and >=99% in 3 working days), Response time to customer for voice-to-voice operator assistance (in 60 sec. >60% and in 90 sec. >90%), Broadband connection speed from ISP to node (Download speed) and Service availability/uptime. Benchmarks are arrived at, using the Slack Based Measure (SBM) in Data Envelopment Analysis (DEA). Twenty Decision Making Units (DMUs - ISPs) were used in the analysis with eight of them needing to improve their QoS on some of the mentioned parameters. Relative benchmark providers for all providers needing improvement with their weightage are found and optimal targets by each QoS metric is mathematically arrived at. The Electrochemical Society -
5G Planning and QoE Management Using Mathematical Benchmarking Techniques for Europe and Middle Eastern Countries
This paper analyses performance of Europe and Middle Eastern (EMEA) countries over 5G networks across eight key QoE metrics using robust and sophisticated mathematical techniques. The current position of the countries is realized along with feasible benchmarks/targets for metrics that need improvement. The benchmark countries and stretch goals are also presented. 2022 IEEE. -
On Improving Quality of Experience of 4G Mobile Networks A Slack Based Approach
This paper analyses Indias four top 4G Mobile network Providers with respect to five key user experience metrics Video, Games, Voice app, Download speed and Upload speed. Results using Data Envelopment Analysis show Airtel and Vodafone-Idea performing with maximum relative efficiency with respect to these metrics, while BSNL and Jio closely follow them. Further analysis using the Slack Based Measure shows where and by how much BSNL and Jio need to improve to perform at par with Airtel and Vodafone-Idea. On certain variables, for instance Voice app, BSNL and Jio perform well, with no need for improvement. On the contrary, for Upload and Download speed experiences, both BSNL and Jio lag. For Video and Games, there is still scope for improvement, although both these players are reasonable in their performance. Thus, this analysis provides an accurate and optimal benchmark for each variable whose user experience has been evaluated. 2021, Springer Nature Switzerland AG. -
Solution structure of the tachykinin peptide eledoisin
Both the aqueous and the lipid-induced structure of eledoisin, an undecapeptide of mollusk origin, have been studied by two-dimensional proton nuclear magnetic resonance spectroscopy and distance geometry calculations. Unambiguous nuclear magnetic resonance assignments of protons have been made with the aid of correlation spectroscopy experiments and nuclear Overhauser effect spectroscopy experiments. The distance constraints obtained from the nuclear magnetic resonance data have been utilized in a distance geometry algorithm to generate a family of structures, which have been refined using restrained energy minimization and dynamics. These data show that, while in water and dimethyl sulfoxide, eledoisin prefers to be in an extended chain conformation, whereas in the presence of perdeuterated dodecylphosphocholine micelles, a membrane model system, helical conformation is induced in the central core and C-terminal region (K4-M11) of the peptide. N terminus, though less defined, also displays some degree of order and a possible turn structure. The conformation adopted by eledoisin in the presence of dodecylphosphocholine micelles is similar to the structural motif typical of neurokinin-2 selective agonists and with that reported for kassinin in hydrophobic environment.