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Nutrition paves the way to environmental toxicants and influences fetal development during pregnancy
Nutrition plays a major role in the healthy pregnancy and development of the fetus. In addition, nutrition can expose humans to a wide range of potentially hazardous environmental constituents, such as organic pollutants and heavy metals from marine or agricultural food products while processing, producing, and packaging. Humans constantly face these constituents through air, water, soil, food, and domestic products. During pregnancy, the rate of cellular division and differentiation is higher; exposure to any of these environmental toxicants can lead to developmental defects as they cross the placental barrier and, in some cases, can harm the successive generation too, as some contaminants can act on the reproductive cells of the fetus (Diethylstilbestrol). Pregnant women are considered a vulnerable population to food contaminant exposure and require a proper dietary chart and conscious food choices. Food is a source of both essential nutrients and environmental toxicants. Here, we have researched the possible toxicants of the food industry and their influence on the fetus's in-utero development, along with the importance of dietary interventions and the need to balance a healthy diet to overcome the harms. The cumulative exposure to environmental toxicants can influence the mother's prenatal environment and affect the fetus's development. 2023 -
Nutritional Value, Fatty Acid and Phytochemical Composition, and Antioxidant Properties of Mysore Fig (Ficus drupacea Thunb.) Fruits
Ficus drupacea is a fruit-bearing tree that is distributed in Southeast Asia and Australia. The objective of this research was to ascertain the following with regard to ripened fruits: (i) their nutritional value, (ii) their mineral status, (iii) the fatty acid composition of fruit and seed oil, (iv) their phytochemical makeup, and (v) their antioxidant properties. The ripened fruits contained 3.21%, 3.25%, 0.92%, 1.47%, and 2.20% carbohydrate, protein, fat, ash, and fiber, respectively. Fruits had an energy content of 30.18 kcal/100 g. In terms of mineral content, the fruit was rich in potassium, magnesium, calcium, and nitrogen, with values of 21.03, 13.24, 11.07, and 4.13 mg/g DW. Iron, zinc, manganese, and boron had values of 686.67, 124.33, 114.40, and 35.78 g/g DW, respectively. The contents of oxalate and phytate were 14.44 and 2.8 mg/g FW, respectively. The fruit and seed oil content were 0.67 and 8.07%, respectively, and the oils physicochemical properties were comparable to those of fig fruit and seed oils. Omega-3 (?-linolenic acid), omega-6 (linoleic acid), and omega-9 (oleic acid) fatty acids were abundant in the oils. Fruit extracts in acetone, methanol, and water have greater concentrations of phenolics, flavonoids, and alkaloids. The 2,2-diphenyl-2-picrylhydrazyl, total antioxidant activity, and ferric reducing antioxidant power assays demonstrated increased antioxidant activities in close correlation with the higher concentrations of phenolics, flavonoids, and alkaloids. The results of this study demonstrate that the fruits of F. drupacea are a strong source of nutrients and phytochemicals, and they merit more investigation and thought for possible uses. 2024 by the authors. -
Nutritional, biochemical and antioxidant activities of edible and non-edible parts of Punica granatum L.
In the present study, the nutritional profiling and antioxidant analysis of the different parts of Punica granatum was done. In the nutritional profiling, different percentages of moisture content was found in the flower (9.63%), leaf (9.17%), peel (5.34%), root (8.08%), stem (4.09%) and fruit (3.54%). Ash content was recorded higher in the stem (30%/g) followed by root, leaf, flower, fruit and peel. Also, the major and minor elements like nitrogen, potassium, calcium, phosphorus, magnesium, sulphur, zinc, copper, manganese and iron were analysed in different parts of P. granatum. The fruit recorded the highest amount of nitrogen (5.710.01%) and phosphorus (5.710.01%) whereas peel was recorded with more potassium (0.990.01%). The phytochemical quantification showed the major content of carbohydrates in the flower (317.96 mg/g) and leaf (315.62 mg/g). The protein was recorded higher in fruit (69 mg/g) and proline in root (19.54 mg/g). The TPC was recorded more in the peel (240.72 g/g) followed by the flower (223.05 g/g). P. granatum peel was recorded with maximum flavonoid content (873.13 g/g) and had a higher antioxidative response in comparison to other plant parts of P. granatum. 2024, Indian journals. All rights reserved. -
Object Detection with Augmented Reality
This study describes an artificial intelligence (AI)-based object identification system for detecting real-world items and superimposing digital information in Augmented Reality (AR) settings. The system evaluates the camera stream from an AR device for real-Time recognition using deep learning algorithms trained on a collection of real-world items and their related digital information. Object recognition applications in AR include gaming, education, and marketing, which provide immersive experiences, interactive learning, and better product presentations, respectively. However, challenges such as acquiring larger and more diverse datasets, developing robust deep learning algorithms for varying conditions, and optimizing performance on resource-constrained devices remain. The AI-based object recognition system demonstrates the potential to transform AR experiences across domains, while emphasizing the need for ongoing research and development to fully realize its capabilities. 2023 IEEE. -
Occupancy improvement in serviced apartments: Customer profiling
Sustaining and improving higher occupancy and generating steady revenue by bringing the experience of Home away from Homefor the Customers is the business model of ServicedApartments Industry. Serviced Apartment Industry has to be highly competitive. Its performance is governed by many factors such as competition, technology, social factors and lastly Customers themselves. This study focuses only on Customer profile. To achieve results, the Serviced Apartment Owners/Managers will need to study Customers profile and their needs. Customer satisfaction and retention lead to better customer loyalty, occupancy rates, and revenue. In this paper a methodological framework to analyze and profile Serviced Apartment Customers is discussed, focusing on the factors and particularly the Customer information which could help in increasing the Occupancy. There is a trend that would normally go unnoticed if analysis of data is taken at the aggregate level but looking at them individually, it provides interesting information. 2012 Taylor & Francis Group, London. -
Occupancy improvement in serviced apartments: Customer profiling
Sustaining and improving higher occupancy and generating steady revenue by bringing the experience of 'Home away from Home'for the Customers is the business model of ServicedApartments Industry. Serviced Apartment Industry has to be highly competitive. Its performance is governed by many factors such as competition, technology, social factors and lastly Customers themselves. This study focuses only on Customer profile. To achieve results, the Serviced Apartment Owners/Managers will need to study Customers' profile and their needs. Customer satisfaction and retention lead to better customer loyalty, occupancy rates, and revenue. In this paper a methodological framework to analyze and profile Serviced Apartment Customers is discussed, focusing on the factors and particularly the Customer information which could help in increasing the Occupancy. There is a trend that would normally go unnoticed if analysis of data is taken at the aggregate level but looking at them individually, it provides interesting information. 2012 Taylor & Francis Group. -
Occupancy Monitoring to Prevent Spread of COVID-19 in Public Places Using AI
The chapter aims to automate the counting of people for occupancy monitoring and send an alert email if the occupancy exceeds the defined threshold in case of restricted occupancy guidelines. The study aims to reduce the manual error, effort, and time for people counting and provide a tool for footfall analysis. We propose and implement an occupancy monitoring system by counting the number of people entering and exiting a building/room using cameras and machine learning (ML) algorithms. The Single Shot Detector (SSD) algorithm, which is based on the MobileNet architecture, is used. This project provides an effective process for execution using either a recorded video file or a live stream from a camera. As the system automates counting people, it reduces human effort and error. It provides accurate results on time. The project can be implemented anywhere using a laptop and a camera for capturing the video. Thus, it provides high portability of the project. The system can leverage pre-installed CCTV cameras and systems in colleges, malls, offices, etc. Thus, it requires less additional expenses and is economically friendly for the organization/decision-making authority. This chapter includes implications for various use cases such as ensuring adherence to COVID-19 guidelines by organizations, streamlining janitorial services, prevention of stampedes, improving indoor air quality, improving electricity efficiency, etc. This project fulfills an identified need to automate the people counting process and generate alerts accordingly. 2025 by Apple Academic Press, Inc. -
Occupants perspective on building maintenance and workers maintenance performance in residential buildings - An empirical study
The entire life cycle of a building involves planning, design, construction, occupancy, operation, maintenance, demolition and removal of wastes. Maintenance is a never ending process in the life cycle of buildings which plays an essential role in building operation. To meet the changing needs of building construction, environment and technology, building maintenance is essential for improving the performance of buildings and for retaining the value and service life of buildings. The main purpose of this study is to establish a sound maintenance strategy for improving the building maintenance services in the areas of Tanjore district, Tamil Nadu which helps to improve occupants satisfaction to a desired level. The present study focuses on the factors influencing building maintenance and assessment of performance of building maintenance service providers. This study attempts to identify the parameters that strengthens and weakens the performance of building maintenance from the occupants perspective. An extensive survey has been conducted with 104 occupants who are residing in pertinent areas of Tanjore in order to determine the predominant factors that have causation effect on building maintenance and workers performance from the perspective of occupants. The research findings indicated that there exists a positive significant correlation exists statistically between performance of maintenance workers and effective functioning of residential buildings for comfort living of occupants. Serials Publications Pvt. Ltd. -
Occupational stress and psychological wellbeing during COVID 19: Mediating role of positive psychological capital
The COVID 19 pandemic has challenged the humankinds livelihood, physical health, mental health, employment, and economy. Lockdowns, quarantines, online teaching, and learning have become new normal. Negativities have been spread across the globe and society by the pandemic. The negative effects caused a confused mindset, fear, anxiety, stress, and other psychological complications amongst the people especially among the Health Care Workers (HCWs), children, elderly people, and Frontline Workers (FLWs). This research work examines the levels of Occupational Stress (OS), and psychological well-being (PWB) of HCWs and police personnel during the pandemic and the relationship between OS and PWB. Further, the study analyzed the role of Positive Psychological Capital (PPC) as a mediator and Emotional Quotient (EQ) as a moderator in the relationship between OS and PWB. Positive Psychological Capital (PPC) characteristics of the respondents such as having faith in one's ability, and performance, willingness to succeed or attain the goals framed, ability to bounce back from the hard times, and their optimism about the future have helped them to tackle the stress caused by the pandemic and to maintain a better state of psychological wellbeing in the fight against the pandemic. 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. -
Occupational stress: A pre and post COVID-19 perspective on teaching personnel in higher education institutions of India
The COVID-19 as a catalytic phenomenon exposes many loop holes in the socio-economic sustainability of business and society. It exposed people to different occupational stressors and anxiety. This study was focused on occupational stress of teaching personnel in higher education institutions (HEIs), in both pre and post COVID-19 scenario. Descriptive analysis shows work autonomy, career progression, community membership, work conditions, and freedom to use own judgements are major stressors to to HEI teachers in the post COVID-19 scenario. Inferential evaluation has confirmed that Job security, social service, and creativity are major concerns to HEI teachers. They experience limitations to try their own ways of doing job. 2021 Ecological Society of India. All rights reserved. -
Occurrence, identification, and decontamination of potential mycotoxins in fruits and fruit by-products
The incidence of aflatoxins, ochratoxin A, and patulin in fruits and processed fruit products has been ever more challenging and gained additional focus on ecofriendly mitigation strategies. The onset of these toxins is due to several factors involving insect attacks, agricultural practices, and climate change. Acute and chronic health hazards are clinically proven after consuming contaminated foodstuffs, even at lower concentrations of mycotoxins. Synergistic, masked, and substantial occurrence in fruit matrices increase their complexity in detection and detoxification; apparently, this article reviewed the available information on the occurrence of mycotoxins in several fruits and their products, focused on the conventional and advanced methods of identification, quantification, and decontamination techniques. Strengthening and implementing stringent international and national guidelines are required for impactful, tangible measures in the future. Nevertheless, controlling the mycotoxins in fruits will certainly be challenging for scientists. Therefore, more impactful technologies are still needed to eliminate the toxins at the threshold level of the food chain and ensure sustainable global food safety. 2023 The Authors. Food Frontiers published by John Wiley & Sons Australia, Ltd and Nanchang University, Northwest University, Jiangsu University, Zhejiang University, Fujian Agriculture and Forestry University. -
Ochratoxin A as an alarming health threat for livestock and human: A review on molecular interactions, mechanism of toxicity, detection, detoxification, and dietary prophylaxis
Ochratoxin A (OTA) is a toxic metabolite produced by Aspergillus and Penicillium fungi commonly found in raw plant sources and other feeds. This review comprises an extensive evaluation of the origin and proprieties of OTA, toxicokinetics, biotransformation, and toxicodynamics of ochratoxins. In in vitro and in vivo studies, the compatibility of OTA with oxidative stress is observed through the production of free radicals, resulting in genotoxicity and carcinogenicity. The OTA leads to nephrotoxicity as the chief target organ is the kidney. Other OTA excretion and absorption rates are observed, and the routes of elimination include faeces, urine, and breast milk. The alternations in the Phe moiety of OTA are the precursor for the amino acid alternation, bringing about Phe-hydroxylase and Phe-tRNA synthase, resulting in the complete dysfunction of cellular metabolism. Biodetoxification using specific microorganisms decreased the DNA damage, lipid peroxidation, and cytotoxicity. This review addressed the ability of antioxidants and the dietary components as prophylactic measures to encounter toxicity and demonstrated their capability to counteract the chronic exposure through supplementation as feed additives. 2022 Elsevier Ltd -
Ocr system framework for modi scripts using data augmentation and convolutional neural network
Character recognition is one of the most active research areas in the field of pattern recognition and machine intelligence. It is a technique of recognizing either printed or handwritten text from document images and converting it to a machine-readable form. Even though there is much advancement in the field of character recognition using machine learning techniques, recognition of handwritten MODI script, which is an ancient Indian script, is still in its infancy. It is due to the complex nature of the script that includes similar shapes of character and the absence of demarcation between words. MODI was an official language used to write Marathi. Deep learning-based models are very efficient in character recognition tasks and in this work an ACNN model is proposed using the on-the-fly data augmentation method and convolution neural network. The augmentation of the data will add variability and generalization to the data set. CNN has special convolution and pooling layers which have helped in better feature extraction of the characters. The performance of the proposed method is compared with the most accurate MODI character recognition method reported so far and it is found that the proposed method outperforms the other method. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021. -
Off balance sheet exposure performance analysis and risk measurment of Indian banks /
Archives of Business Research, Vol.4, Issue 1, pp.112-117, ISSN: 2054-7404. -
Offline Character Recognition of Handwritten MODI Script Using Wavelet Transform and Decision Tree Classifier
MODI script is derived from the N?gari family of scripts, and it was used for writing Marathi until twentieth century. Though currently not used as an official script, it has historical importance, as a large volume of manuscripts are preserved at various libraries across India. With the use of an appropriate recognition system, the handwritten documents can be transferred into digital media, so that it can be conveniently viewed, edited, or transliterated to other scripts. The research on MODI script is still in the initial stages, and there is a considerable demand for more research in this field. An implementation of wavelet transform-based feature extraction for MODI scripts character recognition is discussed in this paper. The experiment is performed using Daubechies, Haar, and Symlet wavelets, and performance comparison between these different mother wavelets is carried out. Decision tree classifier is used for the classification process, and the results indicate that the feature extraction using Daubechies wavelet yielded better character recognition result. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Offline Handwritten Character and Numeral Recognition: A Kernel-Based Approach
Automatic character recognition for the handwritten Indic script is a challenging area for research in the field of pattern recognition. Although a great amount of research work has been reported, all the state-of-the-art methods are limited with optimal features. This article aims to suggest a well-defined recognition model which harnessed upon handwritten Odia characters and numerals by implementing a novel process of decomposition in terms of 3rd level fast discrete curvelet transform (FDCT) to get higher dimension feature vector. After that, kernel-principal component analysis (K-PCA) is considered to obtain optimal features from FDCT feature. Finally, the classification is performed by using probabilistic neural network (PNN) on a handwritten Odia character and numeral dataset from both NIT Rourkela and IIT Bhubaneswar. The outcome of the proposed scheme performs better compared to existing models with optimized Gaussian kernel-based feature sets. Copyright 2022, IGI Global. -
Oil Price Volatility and Its Impact on Industry Stock Return Bi Variate Analysis
Oil price volatility impacts industries differently depending on a countrys status as a net oil importer or exporter. In oil-importing nations like India, sectors such as banking, energy, materials, retailing, transportation, and manufacturing are adversely affected by price fluctuations, while industries like food, beverages, and pharmaceuticals tend to be more resilient. Conversely, oil-exporting countries experience milder effects, with the oil and gas sector bearing the brunt of supply disruptions while other industries remain insulated. Over time, the correlation between oil prices and stock market performance has strengthened, making oil price volatility a systemic risk factor. The source of oil price shocks, whether from demand changes or supply disruptions, significantly influences their impact on stock returns. Notably, there are substantial volatility spillovers between oil and stock markets. This study aims to explore the relationship between oil shocks and industry returns using various multivariate models, highlighting the importance of considering oil as a relevant risk factor in portfolio management. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Old and new private sector banks in india: Performance analysis
In the era of globalization and liberalization, a bank has to compete with not only local players and also internationally. It is tough time for Indian banking industry. Banks take various steps to improve the performance and provide best services to customers. Performance of banks refers to the capacity in generating sustainable profitability. Banks need to evaluate the performance and find the strength and weakness by considering important ratios. Researchers have analysed the performance of banks applying various tools and techniques. The present study seeks to assess the financial performance of old and new private sector banks operating in India. One of the models for assessing the performance of banks are CAMEL model. The study was conducted using secondary data. The study covered a period of 10 years and the data collected for study had been analysed using Simple Arithmetic Mean, Coefficient of Variation, Linear Growth Rate, Analysis of Variance (ANOVA) and Ranking for CAMEL model. Under this model, banks have been rated based on five criteria namely, C-Capital Adequacy, A-Asset Quality, M-Management Efficiency, E-Earning Quality and L-Liquidity. This study was conducted on the financial performance of twenty banks consisting of seven new private sector banks and thirteen private sector banks in India. The result has disclosed that various banks have been performing well in different parameters. As per CAMEL model overall ranking, Karur Vysya bank, Federal bank and Tamilnad Mercantile banks have occupied first three spots under the old private sector banks. In the case of the new private sector banks the first three slots have been held by HDFC bank, Kotak Mahindra bank and Yes bank respectively. The estimated ratios have disclosed that the new private sector banks have been enjoying a better financial health than the old private sector banks during the study period. The old private banks have to pay attention to improve the financial performance in the future. 2020 SERSC. -
Old Monk: The Resurrection of a Heritage Brand
This case is developed to discuss options related to strategy in general and marketing strategy in particular that were implemented by an iconic brandOld Monkin the compelling attempt to revive the its brand value and relevance. The protagonist in the case is Mr Hemanth Mohan, the Director of this brand who is faced with serious challenges in resurrecting the brand in a hypercompetitive, ever-changing lifestyle alcoholic beverages market in India. The most significant of the challenges faced by Mr Mohan are changing tastes and preferences of the consumer, new foreign brands entering into the market, strong regulation, close monitoring from the government, and the monopoly of state-managed liquor retail chains. This case addresses and provides for the evaluation of various strategic options available for the brand in terms of repositioning itself in the relevant markets. The case presents questions related to how effectively a traditional brand can carry forward the legacy to redeem its brand value in the light of changing tastes and customer preferences. The case proposes to bring to light the importance of strategic decisions to be made around managing brand extensions in addressing the dilemma of brand value being spread too thin versus capitalizing on the past glory of the brand in finding life for the newly launched products under the known umbrella. This case is developed with an intent to be discussed among students pursuing undergraduate and/or graduate education in management discipline. The case is well aligned to be relevant for discussing concepts related to brand management, marketing strategy, strategic management, and consumer behavior. The content of this case is designed to be discussed and delivered in a typical 90-min class session, allowing students 120 min of pre-reading time and 120 min of post-discussion report preparation. 2020 K.J. Somaiya Institute of Management Studies and Research. -
Omics based approach for biodiscovery of microbial natural products in antibiotic resistance era
The need for a new antibiotic pipeline to confront threat imposed by resistant pathogens has become a major global concern for human health. To confront the challenge there is a need for discovery and development of new class of antibiotics. Nature which is considered treasure trove, there is re-emerged interest in exploring untapped microbial to yield novel molecules, due to their wide array of negative effects associated with synthetic drugs. Natural product researchers have developed many new techniques over the past few years for developing diverse compounds of biopotential. Taking edge in the advancement of genomics, genetic engineering, in silico drug design, surface modification, scaffolds, pharmacophores and target-based approach is necessary. These techniques have been economically sustainable and also proven efficient in natural product discovery. This review will focus on recent advances in diverse discipline approach from integrated Bioinformatics predictions, genetic engineering and medicinal chemistry for the synthesis of natural products vital for the discovery of novel antibiotics having potential application. 2018