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The diffuse radiation field at high galactic latitudes /
The Astrophysical Journal, Vol.858, Issue 2, pp.1-9, ISSN No: 1538-4357. -
Interactions of Environmental Pollutant Aromatic Amines With Photo Excited States of Thiophene Substituted 1,3,4-Oxadiazole Derivative: Fluorescence Quenching Studies
In the present work, the fluorescence quenching of novel thiophene substituted1,3,4-oxadiazole derivative 2-(4-(4-vinylphenyl) phenyl)-5-(5-(4-vinylphenyl)thiophen-2-yl)-1,3,4-oxadiazole (TSO) by five different environmental pollutant aromatic amine derivatives like 2,4-dimethylaniline, 3-chloroaniline, 4-chloroaniline, o-anisidine, and m-toluidine has been studied at room temperature through steady-state and time-resolved methods. It is observed that, the quenching efficiency is highest in the case of o-anisidine and least in the case of 3-chloroaniline. The fluorescence quenching mechanism between TSO and aromatic amines is analysed through different quenching models. The results suggest that, the fluorescence quenching is due to diffusion assisted dynamic or collisional quenching according to the sphere of action static quenching model and according to the finite sink approximation model, the bimolecular quenching reactions are due to the collective effect of dynamic and static quenching. Further, cyclic voltammetry and DFT studies suggest that the fluorescence quenching is due to electron transfer. Binding equilibria analysis confirms the 1:1 stoichiometric ratio between fluorophore and the quencher. 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. -
Changes in wage trends and earnings differences in Kerala /
The Indian Journal of Labour Economics, Vol.61, Issue 4, pp.624-638, ISSN No: 0971-7927. -
Reproductive health vs overall well-being: systematic review of studies on women migration and health care utilization
Purpose: Sustainable development goals (SDGs) recognize the importance and interrelation between health and migration. Women migration and health is well researched, yet less attention is paid to their healthcare utilization, especially with regard to overall health and well-being. This paper aims to highlight the gap in the existing literature on health care utilization by women migrants. Design/methodology/approach: A systematic review was carried out following the PRISMA guideline. For the review, the literature was taken from three electronic databases, which were Springer Link, Taylor and Francis and PubMed. From a total of 1,575 studies, seven studies cleared the eligibility screening. Findings: Of seven studies, five were found to focus on the sexual and reproductive health of the women migrants than their general health and well-being, and less attention is paid to health promotion and illness prevention beyond reproductive and sexual health. While, studies on general health have focused on the influence of health status on health care utilization and the influence of health insurance in health care utilization. The review has revealed the disparities faced by migrant women in different countries while seeking health care. Originality/value: Studies on women migration and health care utilization have largely focused on the reproductive and sexual health needs of women, and this overemphasis often undermines their accessibility and affordability to overall health and well-being. Therefore, the present study has moved away from the concept of sexual and reproductive health tot that of overall health and well-being of women migrants. 2021, Emerald Publishing Limited. -
A Pragmatic Study on Movie Recommender Systems Using Hybrid Collaborative Filtering
The Movie Recommendation System (MRS) is part of a comprehensive class of recommendation systems, which categorizes information to predict user preferences. The sum of movies is increasing tremendously day by day, and a reliable recommender system should be developed to increase the user satisfaction. Most of the approaches are made to prevent cold-start, first-rater drawbacks, and gray sheep user problems, nevertheless, in order to recommend the related items, various methods are available in the literature. Firstly, content-based method has some drawbacks like data of similar user could not be achieved, and what category of these items the user likes or dislikes are also not known. Secondly, this paper discusses about collaborative filtering to find both user and item attributes that have been considered. Since there exist some issues pictured with collaborative filtering, so this paper further aims into hybrid collaborative filtering and deep learning with KNN algorithm of ratings of top K-nearest neighbors. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Light Tracking Bot Endorsing Futuristic Underground Transportation
Controlling a bot machine that uses non-conventional energy form, i.e. light is said to have an upper hand in pioneering transportation system. The expanding request of making the streets more secure has persuaded a ton of organizations to create finest autonomous vehicles. This paper will concentrate on the potential outcomes of utilizing just light-sensing gadgets alone for the light tracking bot using advanced color detection algorithm. The algorithm would help the bot in sensing the color of light and act accordingly, for instance green color to proceed, red color to stop. This particular requisition has high scope in real time application over the emergent underground transportation system; speculating on how the emerging innovative advances fit to the fiddle urban areas of the 21st century. 2020, Springer Nature Switzerland AG. -
Development and validation of analytical methods for the determination of anti-fungal drug in active pharmaceutical ingredient and other dosage forms
A simple and sensitive extractive spectrophotometric method is proposed for the determination of fluconazole drug, in pure form and in the available dosage forms. The method (A) is based on ion-pair formation between the fluconazole and Mo(V)-thiocyanate inorganic complex in the acidic medium and method (B) is based on ion-pair formation between the fluconazole and Co(II)-tetrathiocyanate inorganic complex in the acidic medium. For method (A), the formed coloured ion-pair is extracted with dichloromethane and absorbance is measured quantitatively with maximum absorption at 470nm. The molar absorptivity and Sandells sensitivity of the coloured species are 0.38x104 L mol-1 cm-1 and 0.8 ng cm-2 respectively. Beers law is obeyed between 4.0 -50.0 ?g mL-1 of fluconazole concentration. For method (B) the formed coloured ion-pair is extracted by using a mixture of (3.5:6.5) n-butanol : dichloromethane and the absorbance is measured quantitatively with maximum absorption at 620nm. The molar absorptivity and Sandells sensitivity of the coloured species are 0.268x104 L mol-1 cm-1 and 0.114 ng cm-2 respectively. Beers law is obeyed between 5.5.0-80 ?g mL-1 of fluconazole concentration. The first order derivative spectrophotometric method is also proposed for the determination of fluconazole in pharmaceutical formulations. The proposed methods are successfully applied for the assay of the fluconazole drug in different dosage forms without any interference from common excipients. The results are in good agreement with those obtained by the official pharmacopeial method. Keywords: Spectrophotometry, fluconazole, ion-pair complex, pharmaceutical preparation, molybdenum thiocyanate, cobalt thiocyanate. -
Machine learning and IOT based smart human activity discovering system for health care applications /
Patent Number: 202111051973, Applicant: Dr. G S Pradeep Ghantasala.
Rural areas are home to more than two-thirds of the world's population, while metropolitan areas are home to less than one-third. According to the census, the world's rural population was 55% and its urban population was 45% in 1995. The rural population (47 percent) will grow significantly faster than the urban population (59 percent) by 2025. (41 percent ). According to the latest research, most people are moving from rural to urban areas, and they've grown accustomed to smart technology with little regard for their health. -
Cloud and IOT based smart forest fire detection and warming system /
Patent Number: 202141048693, Applicant: Arumugam Ranjith.
The development of modern industrial civilizations has caused in the establishment of manufacturing plants, office buildings, and housing blocks throughout urban parts. Because of the combustible substances contained in these facilities, there are gas and oil tanks all over these areas. Because of the densely packed buildings, extreme heat and smoke, and the possibility of explosives, putting out a fire in one of these places is nearly impossible. -
Internet of Things (IOT) based information collection system for efficient production in large scale industries /
Patent Number: 202141046347, Applicant: Arumugam Ranjith.
A system for automatically collecting data on the traceability of duck products was developed in response to the difficulties inherent in the processing of duck products, including complicated technology, difficult data collection and linking, and a scarcity of specialized data collection equipment. This system was created in response to the difficulties encountered during the duck product processing process. Among the difficulties were complicated technology, difficult data collection and linking, and a lack of specialized data collection equipment. -
Automatic vehicle license plate recognizer for kannada script using tensorflow based canvolutional neural network model /
Patent Number: 201941054190, Applicant: Dr. Arish P.
Automatic Vehicle License Plate Recognizer (AVLPR) is used to read license number of a vehicle by itself without direct human control. It is used to track citizens, movements and misidentiflcation of vehicles. Traditional ALVPR is mounted on police cars or on object like road signs and bridges. The challenging tasks in recognizing the license plate numbers in Kannada script are high contrast foreground or background colour, shape of the license plate, location of the plate in the bottom and middle of the vehicle. -
ION imprinted chitosan stabilized biogenic silver nanoparticles for the electrochemical detection AR /
Patent Number: 202241014988, Applicant: Ann Maria C G.
Humans are prone to heavy metals triggering many diseases and rising environmental concerns. Arsenic is one of the most harmful heavy metals which needs constant monitoring and control. A susceptible and selective sensor for arsenic (III) detection in polluted water samples has been developed by using chitosan stabilized silver nanoparticles. The glassy carbon electrode (GCE) is modified with chitosan stabilized silver nanoparticles, which provides sufficient sites for interaction with the analyte. -
Smart Phone /
Patent Number: 344690-001, Applicant: Dr.Parvendra Kumar. -
Job Involvement of secondary school teachers of bangalore in relation to their work ethics organisational culture and leader behaviour of heads of institutions
Education has been the mainstay of our culture, right from the time of the Gurukul to the present day. Even today, the single most important factor in our education system is the teacher and his qualities. The issue of teacher motivation and Job Involvement is an essential factor for classroom newlineeffectiveness and improvement of educational institutions. Though many studies have been conducted in the area of Job Satisfaction of teachers in India, Job Involvement of teachers has received comparatively little attention. Literature review indicates that Work Ethics, Organizational Culture, Leader Behaviour of Heads of Institutions do newlineinfluence Job Involvement along with other variables. In this area, few independent studies are available, but a study related to all these variables is not available. Moreover, most of these studies related to Job Involvement are overseas studies. Hence the investigator felt the need to take up the present study titled Job Involvement of secondary school teachers of Bangalore in relation to their Work Ethics, Organizational newlineCulture and Leader Behaviour of Heads of Institutions. The main objectives of the study were: 1) To find out the relationship between Job Involvement of secondary school teachers their work ethics, organizational culture and Leader Behaviour of Heads of newlineInstitutions. 2) To find out whether differences in background variables like Gender, Subject specialization etc would account for significant difference in Job Involvement. 3) To find out whether any differences in levels of Work Ethics, Organizational Culture, and Leader Behaviour of Heads of Institutions results in any significant difference in Job Involvement of secondary school teachers 4) To find out the interactionxvi effect of the independent variables on Job Involvement 5) To find out newlinewhether the independent variables selected by the researcher are significant predictors of Job Involvement of secondary school teachers. Based on these objectives, researcher formulated 30 hypotheses. -
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Pharmaceutical Tablet Uniformity Prediction Using Spectroscopy-Based Data Fusion and Machine Learning Approaches
The pharmaceutical industry is highly regulated, and every manufacturer must demonstrate the drug product's quality, safety, and efficacy before market release. Quality control plays a vital role in ensuring drug products' consistency, purity, and potency through rigorous testing of raw materials in the process and the finished stages of manufacturing. Quality risk management and process understanding are critical to maintaining quality throughout manufacturing. Quality by Design (QbD) offers a structured approach, while Process Analytical Technology (PAT) facilitates real-time monitoring to control risk of product quality. Process analyzers, multivariate methods, process control, and continuous improvement tools are part of the PAT framework that enhances process understanding and aids risk mitigation strategies. Near-infrared (NIR) spectroscopy is a commonly used analytical technique in PAT environments for both qualitative and quantitative measurements; these are real-time and non-destructive process analyzers. Chemometrics helps extract information from this chemical data using mathematical and statistical methods. With the advent of Industry 4.0, machine learning models have gained popularity in spectroscopy due to their ability to handle complex, high-dimensional data and adapt to various applications. This research introduces a systematic approach to implementing machine learning models as an alternative to traditional chemical testing in predicting the content uniformity of pharmaceutical tablets. The objective is to improve the quality of data analysis and its predictive performance. This study also outlines the importance of using manufacturing information as stratified variables in predictive modeling and spectroscopic data, or sensor fusion data. To demonstrate the effectiveness of this approach, a real-world NIR dataset developed based on various characteristics such as manufacturing scale, tablet strength, dose proportion, and coating is utilized. This real-world application of the research makes the content more relatable and interesting to the reader. This allows the seamless use of the model across different known environments as the model is trained using sensor data fusion. A comparison of Partial Least Squares regression models and machine learning Neural Network models is evaluated for the model predictability. The work also delves into selecting and optimizing appropriate hyperparameters for a chosen optimal model. It explores the impact of model performance to ensure successful implementation in the production environment and discusses various approaches in monitoring during life cycle management. -
Processing low-cost feedstock's into high quality biodiesal with a novel chemical multi functional process intensifier method /
Patent Number: 202141060717, Applicant: Ravikumar R.
A method and apparatus for producing a cost-effectively purified biodiesel product from feedstocks are provided. It is possible to utilize both a crude feedstock pretreatment process and a free fatty acid refining process in certain implementations before transesterification and the creation of crude biodiesel and glycerin. When it comes to biodiesel refining, there are several options. As a result of these operations, a pure biodiesel product that meets various commercial requirements may be produced. -
IOT driven automated water quality monitoring and removal of unpleasant smell from wastewater system for smart city /
Patent Number: 202241015394, Applicant: Geetha V.
Water pollution has become one of the most serious threats in recent years, as drinking water has become contaminated and polluted. Polluted water can cause a variety of diseases in humans and animals, affecting the ecosystem's life cycle. If water pollution is detected early on, appropriate measures can be implemented, and critical situations can be avoided. To ensure a steady supply of pure water, the water's quality should be monitored in real time. With advancements in sensors, communication, and Internet of Things (IoT) technology, smart solutions for monitoring water pollution are becoming increasingly important. -
An artificial intelligence based smart cap with voice assistant for blind person /
Patent number: 202241013502, Applicant: Dr. Aruna S K.
People who are completely blind or have reduced eyesight confront numerous challenges while navigating. Every day, they face a variety of challenges, particularly in terms of mobility. Several systems have been developed to assist visually impaired people and improve their quality of life. This invention helps the blind to navigate independently using smart cap. It enables visually impaired people to see the world by voice assistance. It enables the blind and visually impaired to navigate freely by allowing them to experience their surroundings through audio output that describes the identified things. -
Improving supply chain progress using blockchain technology /
Patent Number: 202141034319, Applicant: Dr. E. Bhuvaneswari.
Security, distributed networks, transparency, and immutability are all attractive aspects of blockchain that may help construct safe and dependable cyber physical systems. Because each use case has its own set of criteria, worries about the scalability, cost-effectiveness, and efficiency of blockchain-based systems have arisen. Because the total cost of ownership of blockchain systems is so costly, a feasibility study for small and medium-sized companies (SMEs) such as PFL is necessary to determine the blockchain's appropriateness for SMEs.