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Wide band cascade RF amplifier for 0.01GHz to 6 GHz application
This paper presents a design of wide band cascade RF amplifier for 0.01 GHz to 6 GHz application using Hybrid Microwave Integrated (MIC) Technology. Wideband amplifier provides ultra-flat gain response of 1 dB for 4 GHz bandwidth and 3 dB for 6 GHz bandwidth. A coplanar wave guide (CPWG) is fabricated using printed circuit board technology and used for RF transmission line topology to convey microwave frequency signals. The output power at 1 dB compression is 17 dBm while the high gain is 22 dBm. The return loss shows below minimum -10 dB for all frequency and amplifier have good linearity and stability. The proposed amplifier can be used for L, S, and C band applications. 2019 IEEE -
Agro-food traceability with efficient user interface using blockchain technology
Food traceability is crucial for food quality and safety to reduce vulnerabilities of product globalization. The traditional Agri-food production system does not offer easy traceability of the product at any point of the supply chain. Blockchain based production system resolves the challenges by reducing the complexity of traceability. Still no other study has presented Blockchain-based traceability platform with a lower impact on the environment and lower cost for each transaction sent by the supply chain. In the existing system, proof of work consensus protocol is used in blockchain which consumes more energy for transactions. The proposed traceability system is based on Ethereum Blockchain, which uses the Proof-of-Stake mechanism of consensus that requires minimal computational power, is highly scalable and environmentally sustainable. The user interface of consumer is specially designed that provides all the tracking information of the agro-food. The developed traceability platform digitizes the entire production chain making the data immutable and available in realtime. 2024 by IGI Global. -
Review on the fish collagen-based scaffolds in wound healing and tissue engineering
Collagen from marine organisms is an emerging source in tissue engineering, an alternative to bovine and porcine collagen. Despite the positive results on wound healing from fish collagen scaffolds, the comprehension and advancements in its properties are limited. Given this context, this study aimed to carry out a systematic review to examine the effects of collagen scaffolds on different models of experimental skin wounds, the advantages and its limitations. The search was conducted according to the orientations of Preferred Reporting Items for Systematic review and Meta-Analysis (PRISMA) and the MeSH (Medical Subject Healings) terms used were Fish Collagen AND Wound Healing AND Scaffold. 36 articles in total were sorted out from the databases of Google Scholar and PubMed. After the analysis, the current review covers 10 articles from the beginning of 2017 to March 2023. The results are mainly focused on the different methods of collagen extraction, preparation of scaffolds and its treatment on the animal model along with its effects. To infer, this current review states that, despite the positive effects of collagen on tissue repair and regeneration, no product is available for medical purposes. Thus, this review also demonstrates the huge potential for collagen in tissue engineering. 2024 Visagaa Publishing House. -
Electrochemical sensing of vitamin B6 using platinum nanoparticles decorated poly(2-aminothiazole)
Vitamin B6 (Vit B6), also known as pyridoxine, is pivotal in fundamental physiological and metabolic processes within the body. Insufficient levels of this essential nutrient may contribute to various health complications. We introduce an electrochemical sensor designed to determine Vit B6 levels precisely. This sensor is constructed through a two-step process: first, by modifying a bare carbon fiber paper electrode (CFP) with poly(2-aminothiazole) (PAT), and second, by electrodepositing platinum nanoparticles onto the modified electrode surface, giving the final working electrode- Pt/PAT/CFP. Electrochemical impedance spectroscopy (EIS) and Cyclic voltammetry (CV) were utilized to examine the electrochemical characteristics of the developed sensor. The characterization of the sensor was done through a range of analytical techniques, including X-ray photoelectron spectroscopy (XPS), scanning electron microscopy (SEM), and optical profilometric studies. Furthermore, we optimized the sensor's performance by assessing the impact of pH, scan rates, and analyte concentrations. The sensor showed a wide linear dynamic range of 5.0 nM80 M and a low detection limit of 0.054 M. We have successfully quantified Vit B6 levels in tablet formulations and dried palm date fruits. The outcomes of this study hold the promise of substantial progress in Vit B6 quantification, with far-reaching implications across pharmaceuticals, healthcare, and nutritional science. 2024 Elsevier B.V. -
Farm food and beverage: An attractive element of gastronomy in agritourism
The admixture of agriculture and tourism creates new fields of area like agritourism. The primary activity of agritourism is providing unique agritourism attractions to the visitors. Among the interests, farm food and beverages act as substantial components that intrigue the visitors. Food gastronomy is connected with farm food and beverage and its inception. Tourists in the agritourist destination want to explore the culinary practices there. Hence, this book chapter provides an idea of the concepts of agritourism and gastronomy, the applications of gastronomy in agritourism, the significance and dimensions of farm food and beverage in agritourism, factors influencing travelers' food choices, the benefits of gastronomy in agritourism and the value-added advantage of gastronomy in agritourism. Food is always a determinant element of the quality of service in the tourist place. 2024, IGI Global. All rights reserved. -
Plant disease diagnosis and solution system based on neural networks
Plant diseases are one of the major factors affecting crop yield. Early identification of these diseases can improve productivity and save money and time for the farmer. This paper presents a novel technique to diagnose plant diseases using a mobile application. A Convolutional Neural Network (CNN) model was built and trained using MobileNetV2 architecture with the help of image processing techniques and transfer learning. A dataset comprising 87,000 images that contain 38 classes of diseases belonging to 14 different crops was used to train the model. The model achieved an accuracy of 98.69% and a loss of 0.5373. A mobile application was built in Android Studio with the help of a trained model. The mobile application built works without a need for a remote server. The application can identify the disease, gives information regarding the identified disease and also suggests necessary remedies to tackle the disease. 2021, Engg Journals Publications. All rights reserved. -
Comparison of HOG and fisherfaces based face recognition system using MATLAB
Face recognition and validation is not an easy task due to barriers in between like variation in pose, facial expressions and illumination. There are many algorithms available to build a face recognition system. One such popular method of approach is the Histogram of Oriented Gradients (HOG). It is a simple but effective algorithm. Even though it gives satisfactory results, it sometimes mismatches query image with irrelevant images, especially in poor lighting conditions. This paper presents a more accurate technique called Fisherfaces. It is a more reliable method for face recognition and validation. Fisherface algorithm is utilized primarily for reducing the dimensionality of the feature space. Fisherface method for image recognition involves a series of steps. Firstly, the face space dimension is reduced using Principal Component Analysis (PCA) method, then the Linear Discriminant Analysis (LDA) method is used for feature extraction. Fisherface method produced good results even under complex situations like varying illumination conditions and images with different poses and expressions which is a major drawback of HOG. Fisherface algorithm can reach a maximum accuracy of 96.87%. Error Correcting Output Code (ECOC) is the classifier used for both HOG and Fisherfaces. 2021 IEEE. -
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Ind as convergence and its impact on value relevance of accounting variables
This study investigates the correlation between accounting variables and stock prices in India from 2011 to 2022, emphasizing the impact of the Convergence of Ind AS with IFRS. Specifically, it explores how this convergence influences the value relevance of accounting data using the Ohlson Model. Beyond established vari-ables like Earnings per Share (EPS) and Book Value (BPS), the analysis introduces additional factors such as Dividend per Share (DPS) and Research and Development (R&D). Employing Ohlsons Pricing Model (1995), the research assesses the rela-tionship between these accounting variables and stock prices for 47 consistently listed firms in the NIFTY 500 index. Results show that DPS and R&D enhance the value relevance of the Ohlson Model, with the adjusted upper R squaredupper R squared increasing from 0.2 in 2011 to 0.6 in 2022. While overall value relevance improves after Ind AS convergence, BPS remains consistent when controlling for EPS. The Author(s). -
RayleighBard convection in a BoussinesqStokes ferromagnetic fluid under sinusoidal and non-sinusoidal internal heat modulation
Internal heat modulation has several applications in nuclear reactor design and safety, as well as meteorology. In this paper, the influence of internal heat modulation on RayleighBard convection in a BoussinesqStokes ferromagnetic fluid is explored using linear and nonlinear analyses. The impact of the square, sine, triangular, and sawtooth wave type of internal heat modulation on the onset of convection and heat transport is considered. Using a Venezian method, linear stability analysis is performed to derive the correction Rayleigh number and the critical Rayleigh number for all four waveforms. A nonautonomous Lorenz model is derived and solved for the amplitude to obtain the Nusselt number, which quantifies the heat transport. The impact of the nondimensional parameter on the convective onset and heat transfer under heat source/sink modulation is analyzed. The study shows that all four types of internal heat modulation destabilize the system. It is also found that the presence of a heat source/sink modulation affects the impact of all four types of internal heat modulation on heat transport. 2022 Wiley Periodicals LLC. -
Individual effects of four types of rotation modulation on RayleighBard convection in a ferromagnetic fluid with couple stress
The effect of trigonometric sine, square, triangular, and sawtooth wave types of rotation modulation on RayleighBard convection in a ferromagnetic fluid with couple stress is investigated in this paper using linear and nonlinear analyses. The expression for the critical Rayleigh number and the correction Rayleigh number is deduced from the three-mode linearized Lorenz model using the Venezian approach. The effect of rotation modulation on heat transport is studied using the generalized fifth-order Lorenz model. The study reveals that the Taylor number stabilizes the no-modulation system and decreases the heat transport, and this situation remains so in the presence of rotation modulation. It is found that the effect of all four types of modulation is to stabilize the system and diminish heat transport. It is also observed that the sawtooth wave type of modulation has the least diminishing effect on heat transport and the square wave type of modulation diminishes the most. 2021 Wiley Periodicals LLC -
Individual effects of sinusoidal and non-sinusoidal gravity modulation on Rayleigh-Bard convection in a ferromagnetic liquid and in a nanoliquid with couple stress
The effects of sinusoidal (sine wave) and non-sinusoidal (square wave, triangular wave, and sawtooth wave) forms of gravity modulation on Rayleigh-Bard Convection (RBC) in a ferromagnetic liquid and a nanoliquid with couple stress is examined using linear and non-linear stability analyses. From the linear analysis, the stability of the system is investigated by calculating the correction Rayleigh number using the Venezian method. The heat transfer coefficient is obtained by solving the non-autonomous Lorenz equation. The influence of various non-dimensional parameters on the onset of convection and heat transfer is analyzed. It is observed that the couple stress parameter stabilizes the system and decreases the heat transfer. It is found that the square type of gravity modulation facilitates more heat transport compared to other types of gravity modulation. The ferromagnetic parameters are shown to have their known influence on the onset of convection and heat transport. The results of the single-phase ferromagnetic nanoliquid with couple stress are extracted from the results of the ferromagnetic liquid with couple stress. Advancement of onset due to nanoparticle presence and thereby enhanced heat transfer is discussed. The higher concentration of alumina is shown to be preferable to the rather expensive copper nanoparticles in obtaining the same quantity of heat transfer. 2021, The Author(s), under exclusive licence to EDP Sciences, SocietItaliana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature. -
E-leadership, psychological contract and real-time performance management: Remotely working professionals
Using the model of E- Leadership in Virtual teams (Avolio et al.), this paper examines impact of Psychological Contract, mediated by E-leadership, on Real-time Performance Management of Remotely working professionals. Following a quantitative research method, data was collected from 57 remotely working professional across the world. Significant positive relationships were found among Leadership Effectiveness of E-leaders, Relational Psychological Contract and Efficiency of RPM. The results confirm the interaction of the given variables in Avolio's Model of E-leadership, highlighting technological aspects of human interactions and ways to optimise them. The results underline several important managerial implications for effective leadership, fulfilling psychological contract and effective performance management, of a type of workforce that is only virtually available. 2019 SCMS Group of Educational Institutions. All rights reserved. -
Critical review on arsenic: Its occurrence, contamination and remediation from water and soil
With the increasing pollution in todays world, importance is being given to solve a problem and do it in a sustainable, eco-friendly manner. Arsenic is a class-1 carcinogen and also causes many other side effects to humans, plants and animals. The utilization of arsenic as wood preservatives, pesticides, or its historical overuse by some military units for rice killing operations has led to the increase in the toxic effects of arsenic like its carcinogenicity, decreased immune response etc. Although conventional methods like coagulation, lime softening, adsorption, membrane technology are effective, they have their disadvantages like additional waste generation, causing increased pollution and are expensive. The better alternative is phytoremediation. Appropriate plants like Brassica juncea, Hydrilla verticilata, Pteris vittata L., Vallisneria natans, can be chosen based on the method of the remediation like phytoextraction, phytostabilization and phytofiltration or phytovoltalization. This review provides the list of a few plants which can be likely chosen for the purpose of both water and soil remediation. Advancements are occurring in bioremediation studies with the development of transgenic plants like transgenic tobacco, transgenic Arabidopsis thali-ana for better phytoremediation. Understanding the mechanism employed by the plant for its uptake/detoxification can aid in the enhancement of the process of remediation with the external supply of phosphorus. Along with this, the proper and safe disposal of plants is crucial for the remediation process. In addition, awareness of this solution to the general public is to be made for its effectiveness. : Author (s). Publishing rights @ ANSF. -
A road map on synthetic strategies and applications of biodegradable polymers
Biodegradable polymers have emerged as fascinating materials due to their non-toxicity, environmentally benign nature and good mechanical strength. The toxic effects of non-biodegradable plastics paved way for the development of sustainable and biodegradable polymers. The engineering of biodegradable polymers employing various strategies like radical ring opening polymerization, enzymatic ring opening polymerization, anionic ring opening polymerization, photo-initiated radical polymerization, chemoenzymatic method, enzymatic polymerization, ring opening polymerization and coordinative ring opening polymerization have been discussed in this review. The application of biodegradable polymeric nanoparticles in the biomedical field and cosmetic industry is considered to be an emerging field of interest. However, this review mainly highlights the applications of selected biodegradable polymers like polylactic acid, poly(?-caprolactone), polyethylene glycol, polyhydroxyalkanoates, poly(lactide-co-glycolide) and polytrimethyl carbonate in various fields like agriculture, biomedical, biosensing, food packaging, automobiles, wastewater treatment, textile and hygiene, cosmetics and electronic devices. 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. -
Social cognitive rehabilitation for neurodegenerative disorders
In this chapter, an initial exploration of the definition and symptoms of neurodegenerative disorders will be conducted along with an in-depth analysis of their underlying neurobiological basis, shedding light on their manifestation in the brain. The central focus will then shift towards comprehending and addressing the specific social cognitive deficits associated with different types of NDs and examining the challenges posed in the realm of social cognition. Strategies and interventions specifically designed for social cognitive rehabilitation will be investigated. The chapter will encompass a discussion on the caregiver burden and effective coping strategies to alleviate the stresses faced. The primary objective of this chapter is to provide readers with a comprehensive understanding of the intricate nature of social cognitive deficits in neurodegenerative disorders and equip them with practical tools aimed at enhancing social cognition and improving the quality of life for individuals affected by these complex conditions. 2024, IGI Global. -
A road map on synthetic strategies and applications of biodegradable polymers /
Polymer Bulletin, Vol.79, ISSN No: 0170-0839 ( print) 1436-2449 (Online).
Biodegradable polymers have emerged as fascinating materials due to their non-toxicity, environmentally benign nature and good mechanical strength. The toxic effects of non-biodegradable plastics paved way for the development of sustainable and biodegradable polymers. The engineering of biodegradable polymers employing various strategies like radical ring opening polymerization, enzymatic ring opening polymerization, anionic ring opening polymerization, photo-initiated radical polymerization, chemoenzymatic method, enzymatic polymerization, ring opening polymerization and coordinative ring opening polymerization have been discussed in this review. -
Perceptual gap among corporate world, academics and students: Personal qualities and employability competencies of students
Personal qualities and employability competencies influence how an individual interacts with others. Employers value employability skills because they are linked to how employees get along with co-workers and customers, job performance, and career success of the employee. Hence personal qualities and employability competencies are considered as one of the essential components for an individuals career development. This study aims to understand the perceptual gap among the corporate world, business school academics and business school students. This study is quantitative in nature and primary data was collected through survey method. The primary data was collected from 377 Master of Business Administration (MBA) students, 276 Business School faculties and 98 managers representing 100 different companies in Bangalore, India. Three different questionnaires were prepared for three groups. All three sets of respondents were asked to rate their perception towards the requirement of personal qualities and skill/competencies required at the workplace in an entry-level job. The study highlights that there is a significant difference in the perception of students, business school faculty and managers towards listed personal qualities and competencies. These perceptual differences result in different types of costs to the company in terms of time, money and energy. The results will help the business schools to develop an innovative business curriculum that can fill the current industry needs. 2019, University of Malaya. All rights reserved. -
Moderating effects of academic involvement in web-based learning management system success: A multigroup analysis
While several educational institutions in India, in accordance to global practices, have adopted Web-Based Learning Management Systems (WLMS) to supplement classroom courses, it is largely seen that these WLMSs fail in their objectives, leading to little or no return on investments. The study aims to define the factors that affect students acceptance of a web-based learning management system and test the moderating effect of their academic involvement in the success of a WLMS. 477 valid questionnaires were collected from university/college students to empirically test the research model using the structural equation modelling approach. The results concludes that indirect and direct effects account for 49% of the variation in the intention to use, which is explained by technical system quality, information quality, educational quality, service quality of the technical support team and user satisfaction. High academic involvement moderates the impact of different service qualities of the WLMS on user satisfaction, intention to use the system, and success of the WLMS. Based on the findings, theoretical and managerial implications are discussed. 2021 -
Assessing perceptions of COVID-19 self-protective measures: a structural equation modeling (SEM) approach
Purpose: This study aimed to develop scales to assess perceptions of coronavirus disease 2019 (COVID-19) self-protective measures (SPMs) and examine the psychometric properties based on the theory of planned behavior (TPB). Design/methodology/approach: A total of 412 participants from Bangalore, India, randomly volunteered to participate in this research. The questionnaire consisted of items related to the TPB scales and demographic details. Findings: A structural equation model showed a reasonable model fit. In total, 70% of the individuals' behavioral intentions of following COVID-19 SPMs were predicted by perceived benefits, barriers, social norms and social influence. Participants' age impacted on perceived benefits and perceived social influence and individuals' behavioral intentions of following COVID-19 SPMs, with a 13.6% difference in model prediction. Originality/value: The TPB can be used as a strong psychometric property to assess behavioral determinants of COVID-19 SPMs. 2021, Sangeeta Mehrolia, Subburaj Alagarsamy and Jeevananda S.