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This paper aims to propose the reversible Feynman and double Feynman gates using quantum-dot cellular automata (QCA) nanotechnology with minimum QCA cells and latency which minimizes the circuit area with the more energy efficiency.

The core aim of the QCA nanotechnology is to build the high-speed, energy efficient and as much smaller devices as possible. This brings a challenge for the designers to construct the designs that fulfill the requirements as demanded. This paper proposed a new exclusive-OR (XOR) gate which is then used to implement the logical operations of the reversible Feynman and double Feynman gates using QCA nanotechnology.

QCA designer-E has been used for the QCA designs and the simulation results. The proposed QCA designs have less latency, occupy less area and have lesser cell count as compared to the existing ones.

The latencies of the proposed gates are 0.25 which are improved by 50% as compared to the best available design as reported in the literature. The cell count in the proposed XOR gate is 11, while it is 14 in Feynman gate and 27 in double Feynman gate. The cell count for the proposed designs is minimum as compared to the best available designs.

This paper aims to design and analyze a controlled magnetorheological damper-based ankle-foot prosthesis prototype.

The ankle-foot prostheses prototype is proposed using the lightweight three dimensional (3 D)-printed parts, MR damper and digital servomotor. Initially, the computer-aided design (CAD) model of the prosthetic foot, leaf spring, retention spring and the various connecting parts required to connect the pylon and damper actuator assemblies are designed using CAD software. Later, the fused deposition modeling 3 D printer-based technique prints a prosthetic foot and other connecting parts using Acrylonitrile Butadiene Styrene filament. The prototype consists of two control parts: the first part controls the MR actuator that absorbs the impacts during walking. The second part is the control of the electric actuator intended to generate the dorsiflexion and plantar flexion movements. Finally, the prototype is tested on a transtibial amputee under the supervision of a prosthetist.

The ANalysis SYStems software-based analysis has shown that the prosthetic foot has a factor of safety values between 4.7 and 8.7 for heel strike, mid-swing and toe-off; hence, it is safe from mechanical failure. The designed MR damper-based ankle-foot prosthesis prototype is tested on an amputee for a level-ground walk; he felt comfortable compared to his passive prosthesis.

The design of an MR damper-based prosthesis prototype offers a better dynamic range for locomotion than passive prostheses. It reduces the injuries and provides relief to the transtibial amputees.

Sustainability in food sector is the need of the hour. It has been revealed that Green supply chain management (GSCM) is an emerging new and effective approach to improve the productivity, efficiency of any enterprises and to achieve sustainability. The purpose of this paper is to rank the key performance indicators which are responsible for implementation of GSCM in Indian dairy sector. Ranking is done by giving weightage to them based on survey reports. The study includes literature review, personal interviews and surveys using the detailed questionnaire. Since food processing industry, e.g. dairy industry is the major energy user and directly affecting the health of public is being chosen for implementing GSCM practices. The approach is to form an effective framework for successful implementation of GSCM in dairy sector. Grouping of key performance indicators has been done using factor analysis and thereafter Analytic hierarchy process (AHP) method has been applied to determine the suitable framework based on relative importance of critical factors.

The first step was to identify critical factors through extensive literature review, personal interviews, etc. The personal interviews has been carried out by contacting executives, managers, professionals of various dairy industries. Data has also been collected by interviewing auditors of ISO 14001 which was responsible for implementation of Environmental management system. Questionnaire used for collecting data has been formulated based on critical factors. It is also used to study minute details of the process being used in dairy industry. After collection of sufficient data SPSS is used for grouping of data through factor analysis. Thereafter AHP method has been used to identify the relative importance of these factors by ranking it which can be used by the managers in developing model/framework for implementing GSCM.

The work aims to examine the critical factors of GSCM and its ranking so as to implement GSCM practices in dairy industry in Indian context. Detailed questionnaire based on 79 parameters has been used for survey in dairy industry in northern India. Grouping of these parameters has been done using factor analysis. The ranking of these identified critical factors has been used by using AHP which is used to see the relative importance of these eight factors. These ranked factors would be used by the managers of the dairy industry to implement GSCM. The work is limited to Indian dairy industry but it can be extended to other industry also after identification of critical factors.

It is certified that this research work is original and has never been submitted or published in any journal.

The objective of the present study is to identify and analyze a set of critical success factors (CSFs) for ice-cream industry [cold chain management (CCM)] that helps in increasing the efficacy, quality, performance and growth of the supply chain organization.

A questionnaire survey with companies in ice-cream sector and a panel study with experts were conducted to identify and validate CSFs and their associated sub-factors. Eight CSFs identified from the cold chain domain vetted for the ice-cream industry and then prioritized by using one of the most well-known decision-making frameworks, Decision-Making Trial and Evaluation Laboratory. The general verdicts of the modelling and its application to the real-world case have been tested through an ice-cream company supply chain.

The result shows that the significant CSFs accountable for the growth of the ice-cream industry are the infrastructure and capacity building, consistent product improvement and operational efficiencies of the value chain. Subsequently, it was identified that the use of IT and related technologies and improved processes for operations also play a considerable role in the performance of ice-cream industry.

The study successfully outlines the effective CCM practices for critical issues. The proposed methodology and factor modelling case demonstration might be useful in analyzing the logistic chains of products such as fruits, drugs and meat.

The meritorious identification of critical areas and executing mitigation plans bring notable benefits to the firms such as improved operational efficiencies, improved time to market performance and product innovation, which bring additional benefits to the producers.

The objective of this paper is to identify dimensions of responsible consumption from consumer perspective and develop a reliable and valid measurement scale.

This paper has employed mixed methodology to develop items for responsible consumption. In first phase, experts' interviews were carried out to unearth the dimensions of responsible consumption. In second phase, quantitative survey was carried out to among consumers to measure their response. This was done using five-point Likert scale. The reliability and validity were ensured through empirical data online. Structural equation modeling was used to test the structural model.

The result showed that consumer perception of responsible consumption consists of five dimensions (Rationality, Sustainable Consumption, Local Consumption, Ethical Consumption and Minimalism). The result also showed strong relationship among satisfaction and responsible consumption dimensions.

It will help policymakers to measure and promote responsible consumption thereby improving environmental performance and reducing carbon footprint.

This is the first study to develop valid and reliable instrument for responsible consumption. The findings will have several implications both theoretical and practical for policymakers and society.

The present findings aim to investigate the thermal behavior of water-based nanofluid flow over a rotating surface, focusing on understanding the effects of different types of nanoparticles on thermal efficiency, considering thermal radiation and variable viscosity effects. By considering four distinct nanoparticles – silicon dioxide titanium dioxide, aluminum oxide and molybdenum disulfide – the study aims to provide insights into how nanoparticle addition influences heat production, thermal boundary layer thickness and overall thermal performance.

The study employs computational methods, utilizing the BVP mid-rich algorithm for the solution procedure. The computational approach allows for a detailed investigation of the thermal behavior of nanofluid flows across a rotating surface under varying conditions.

The study concludes that adding nanoparticles in the base liquid increases heat production in the system, resulting in enhanced thermal boundary layer thickness. The comparative analysis shows that different nanoparticle types exhibit varying effects on thermal efficiency, suggesting that careful selection of nanoparticles can optimize heat transport and thermal management processes. Moreover, there's a noteworthy uptrend in the radial velocity profile concerning the stretching parameter, whereas a converse trend is observed in the thermal profile.

This study contributes original insights by comprehensively investigating the thermal behavior of water-based hybrid nanofluid flow over a rotating surface.

This paper aims to review the role of government initiatives for the development of wind power industries in India, to provide better and benevolent policies in the production of wind energy density and to maximize the use of the renewable source of energy which permits to reduce carbon emission from the coal-based power plant and to curtail tackle need of society and mitigate poverty.

The present study is carried out on the current position of wind power generation in India. Government policies for promoting clean energy and associated problems are also analysed herein detail. However, secondary approaches are opted in terms of alertness of caring for the environment hazardous and reduced the major economies aspects by fulfilling the schema of Kyoto Protocol and Paris Agreement, United Nations Framework Convention on Climate Change.

The prospective of wind energy generation is huge, as an ancient source of energy, wind can be used both as a source of electricity and for agricultural, irrigation uses. The study of wind turbine blades and its features showed how it can be properly fabricated and used to extract the maximum power, even at variable and low wind speeds.

Although India has achieved a remarkable advancement in wind power sectors, it needs to eradicate all the loopholes to evolve as super power in wind energy sector leaving behind its rivalry China. To do this, it is required to develop in many fields such as skilled manpower, advancement in research and development, grid and turbine installation, proper distribution, smooth land acquisition, modern infrastructure, high investment and above all industry friendly government policy.

The present study finds out effects of wind power energy as a source of renewable energy to mitigate energy crisis.

As a source of renewable energy and cost effectiveness, wind power can be evolved as a potential means enhance social life.

The present paper caries out critical analysis for the active use of renewable energy in the present and forthcoming days. Such unique analysis must help India as a developing nation to balance its energy crisis.

In this paper the effects of viscous dissipation and ohmic heating on the fluid flow and resulting heat and mass transfer caused by vertically moving rotating disk are explored with magnetic field acting perpendicular to disk rotation. The flow regime is also under the influence of Dufour and Soret effects.

An approach of similarity transformation is used to transform the governing set of equations into non-linear ordinary differential equations. Numerical simulations are carried out in Maple software to study the influence of incorporated non-dimensional parameters viz. disk movement parameter (−0.3 < S < 0.2), magnetic parameter (0.1 < M < 0.4), Eckert number (0.1 < Ec < 1), Schmidt number (0.1 < Sc < 1), Soret parameter (0.1 < Sr < 1) and Dufour number (0.1 < Du < 1) on velocity, temperature and concentration profiles.

The upward/downward motion of the disk along with rotation set up a three-dimensional flow over the disk surface and exerts the same effects as injection/suction through the wall. It is also observed that incorporated parameters along with disk movement greatly affect the flow regime and associated heat and mass transfer.

The present study examines the heat and mass transfer characteristics of incompressible Newtonian fluid over an impermeable rotating disk moving vertically. The effect of viscous dissipation and ohmic heating is considered. To the best of the authors’ knowledge, such consideration is yet to be published in the literature.

This study aims to develop fiber-enriched cutlets from minced meat of rohu and study the effects of fiber inclusion on composition, cooking properties and acceptability of cutlets.

Cutlet mix prepared using rohu mince was divided into four lots, out of which three lots were enriched with fibers from ragi (RFC), jowar (JFC) and oat (OFC) at 10 per cent over and above its quantity. Prepared cutlets were analyzed for nutritional composition, texture, cooking properties and sensorial quality.

Moisture, protein, fat, fiber and ash contents (per cent) of the fiber-enriched cutlets ranged between 40.4-42.0, 24.5-25.5, 13.2-14.7, 1.8-2.0 and 2.4-2.5 per cent, respectively. The addition of fibers increased the cooking yield of cutlets from 84.6 to 87.5 per cent. RFC lot cutlets had the lowest whiteness values and the highest hardness and shear force values. Cutlets from all the lots had an overall acceptability scores more than 7.0, indicating the sensorial acceptability. Although the differences were insignificant, cutlets from the RFC lot were less acceptable, which might be because of the dark color and tough texture. Hence, jowar and oat flour at 10 per cent can be used to enrich rohu cutlets without affecting their sensorial acceptability.

Sources of fiber will be the major limitation in the work, as the fiber inclusion may negatively affect the quality and acceptability of cutlets. Time of cooking will also influence the final product characteristics, which need to be standardized.

Fish is a rich source of protein but lacks fiber, which is essential for body metabolism. Grains are rich source of fibers but lack some essential nutrients required by the body. In India, many people are dependent on fish for protein due to its high nutritious value. So enriching fish meat with fiber sources will address the health-related problems associated with low-fiber diets. The methodology developed in this work can be used to fulfill the demand for balanced and nutritious diet. Because of increasing health awareness, fish products with added fiber will also increase its market potential.

The methodology developed can be used by small-scale entrepreneurs to earn more income by developing functional fish products with low-cost ingredients. The developed products will not only address the issues related to the consumption of low-fiber diets but also create a market for fish products because of their health-benefiting effects.

The work is completely original in nature. The results reported are unique and the outcome of the research has social applicability.

Code smells indicate deep software issues. They have been studied by researchers with different perspectives. The need to study code smells was felt from the perspective of software industry. The authors aim to evaluate the code smells on the basis of their scope of impact on widely used open-source software (OSS) projects.

The authors have proposed a methodology to identify and rank the smells in the source code of 16 versions of Apache Tomcat Software. Further, the authors have analyzed the categorized smells by calculating the weight of the smells using constant weights as well as Best Worst Method (BWM). Consequently, the authors have used Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to determine the rank of versions using constant weights as well as BWM.

Version 1 of Apache Tomcat has least smell, and version 8 is reported to contain the maximum code smells. Notable differences in both the cases during the trend analysis are reported by the study. The findings also show that increase is observed in the number of code smells with the release of newer versions. This increment is observed till version 8, followed by a subtle marked depreciation in the number of code smells in further releases.

The focus is to analyze smells and rank several versions of Apache Tomcat, one of the most widely used software for code smell study. This study will act as a significant one for the researchers as it prioritizes the versions and will help in narrowing down the options of the software used to study code smell.