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Robotic telesurgery is a promising application of robotics to medicine, aiming to enhance the dexterity and sensation of regular and minimally invasive surgery through using millimeter‐scale robotic manipulators under the control of the surgeon. In this paper, the telesurgical system will be introduced with discussion of kinematic and control issues and presentation of in vitro experimental evaluation results.

This study aims to explore the factors influencing the bottom of the pyramid (BOP) consumers’ adoption and usage intention towards mobile payment (m-payment) to achieve financial inclusion and sustainable development goals.

A qualitative research design is used to explore the enablers and inhibitors that influence BOP consumers’ m-payment adoption and usage intention. To collect the qualitative responses, semi-structured in-depth interviews with BOP respondents were conducted. The thematic analysis using the text mining technique will be used to analyse qualitative data for exploring the predominant factors affecting m-payment adoption intention and usage.

The results suggested awareness, social influences and self-efficacy as crucial enablers and privacy and security risks and vulnerability concerns as crucial inhibitors towards m-payment adoption and usage.

As a novel contribution to the BOP, financial inclusion, sustainable development goals and m-payment literature, this study unfolds several unknown perceived benefits and perceived sacrifices that influence the BOP consumers’ m-payment adoption intention and usage. The study’s findings help the government and banks formulate and implement strategies to achieve financial inclusion among BOP consumers.

The purpose of this paper is to investigate the interactions among the key factors of supply chain (SC) in the Indian automotive industry. These key factors are helpful to measure supply chain performance (SCP) and to improve the firm’s effectiveness.

In this paper, an interpretive structural modeling with a fuzzy cross-impact matrix multiplication applied to classification-based approach is used to examine the interactions among the key factors of SCP measurement.

The authors have identified the most dominant key factors used for measuring the performance in automotive SC. The results exhibit that the order lead-time and order entry method are the most significant key factors. These key factors have high driving power to measure SCP whereas the post-transaction measure of customer service and customer query time are highly dependent on other factors. Such relationships among the key factors can help a firm’s top management to make essential judgments in order to solve the overall SC problems and provide a better approach to proactively deal with problems.

In this paper, the authors have explored the interactions among the key factors of the SCP in the Indian automotive industry.

The purpose of this paper is to scrutinize the effects of nonlinear thermal radiation and thermal stratification effects on the flow of three-dimensional Eyring-Powell 36 nm alumina-water nanofluid within the thin boundary layer in the presence of quartic autocatalytic kind of chemical reaction effects, and to unravel the effects of a magnetic field parameter, random motion of the tiny nanoparticles and volume fraction on the flow.

The chemical reaction between homogeneous (Eyring-Powell 36 nm alumina-water) bulk fluid and heterogeneous (three molecules of the catalyst at the surface) in the flow of magnetohydrodynamic three-dimensional flow is modeled as a quartic autocatalytic kind of chemical reaction. The electromagnetic radiation which occurs within the boundary layer is treated as the nonlinear form due to the fact that Taylor series expansion may not give full details of such effects within the boundary layer. With the aid of appropriate similarity variables, the nonlinear coupled system of partial differential equation which models the flow was reduced to ordinary differential equation boundary value problem.

A favorable agreement of the present results is obtained by comparing it for a limiting case with the published results; hence, reliable results are presented. The concentration of homogeneous bulk fluid (Eyring-Powell nanofluid) increases and decreases with ϕ and P_r, respectively. The increase in the value of magnetic field parameter causes vertical and horizontal velocities of the flow within the boundary layer to decrease significantly. The decrease in the vertical and horizontal velocities of Eyring-Powell nanofluid flow within the boundary layer is guaranteed due to an increase in the value of M. Concentration of homogeneous fluid increases, while the concentration of the heterogeneous catalyst at the wall decreases with M.

Considering the industrial applications of thermal stratification in solar engineering and polymer processing where the behavior of the flow possesses attributes of Eyring-Powell 36 nm alumina-water, this paper presents the solution of the flow problem considering 36 nm alumina nanoparticles, thermophoresis, stratification of thermal energy, Brownian motion and nonlinear thermal radiation. In addition, the aim and objectives of this paper fill such vacuum in the industry.

This study aims to present the consequences of activation energy and the chemical reactions on the unsteady MHD squeezing flow of an incompressible ternary hybrid nanofluid (THN) comprising magnetite (FE₃O₄), multiwalled carbon nano-tubes (MWCNT) and copper (Cu) along with water (H2O) as the base fluid. This investigation is performed within the framework of two moving parallel plates under the influence of magnetic field and viscous dissipation.

Due to the complementary benefits of nanoparticles, THN is used to augment the heat transmit fluid’s efficacy. The flow situation is expressed as a system of dimensionless, nonlinear partial differential equations, which are reduced to a set of nonlinear ordinary differential equations (ODEs) by suitable similarity substitutions. These transformed ODEs are then solved through a semianalytical technique called differential transform method (DTM). The effects of several changing physical parameters on the flow, temperature, concentration and the substantial measures of interest have been deliberated through graphs. This study verifies the reliability of the results by performing a comparison analysis with prior researches.

The enhanced activation energy results in improved concentration distribution and declined Sherwood number. Enhancement in chemical reaction parameter causes disparities in concentration of the ternary nanofluid. When the Hartmann number is zero, value of skin friction is high, but Nusselt and Sherwood numbers values are small. Rising nanoparticles concentrations correspond to a boost in overall thermal conductivity, causing reduced temperature profile.

Due to its firm and simple nature, its implications are in various fields like chemical industry and medical industry for designing practical problems into mathematical models and experimental analysis.

Deployment of the squeezed flow of ternary nanofluid with activation energy has significant consideration in nuclear reactors, vehicles, manufacturing facilities and engineering environments.

This study would be contributing significantly in the field of medical technology for treating cancer through hyperthermia treatment, and in industrial processes like water desalination and purification.

In this problem, a semianalytical approach called DTM is adopted to explore the consequences of activation energy and chemical reactions on the squeezing flow of ternary nanofluid.

Reviews current initiatives in the development of neuron/silicon chips and in biomimetics.

A general review and survey of selected research and development topics.

Illustrates the multi‐ and trans‐disciplinary interests of cybernetics and systems and aims to further research and development activity.

The choice of reviews provides an awareness of the current initiatives and trends in these areas of research and endeavour.

The reviews are selected from a global database and give a studied assessment of current research and development initiatives.

One cannot mandate honesty.– Veerappa Moily, Chair,Second Administrative Reforms Commission, 2007India did not invent corruption, but it seems to excel in it. Transparency International, (TI) in its September 2007 Corruption Perception Index, placed India 72nd (tying with China and Brazil) with its neighbors Sri Lanka at 94th, Pakistan 138th, and Bangladesh 162nd as among the most corrupt of the 180 nations it surveyed. Denmark, Finland, and New Zealand stood at the top as the least corrupt, while Mynamar and Somalia are ranked at the bottom as the most corrupt. In 2008, India was ranked at 74th (Transparency International, 2007, 2008). In its 2005 study, TI found that as many as 62% of Indians believe corruption is real and in fact had first hand experience of paying bribes (Transparency International, 2005). Three-fourths in the survey also believe that the level of corruption in public services has only increased during 2004–2005. It is estimated that a total of about $5 billion are paid annually as bribes. The police are ranked as the most corrupt, followed by lower judiciary and Land Administration. Yet Suresh Pachauri, the Minister of State for Parliamentary Affairs, Government of India, declared: “Government is fully committed to implement its policy of zero tolerance against corruption. It is moving progressively to eradicate corruption by improving transparency and accountability” (Pachauri, 2008). This is a rather sorry state for a country known as the largest working democracy.

In the developing field of nano-materials synthesis, copper oxide nanoparticles (NPs) are deemed to be one of the most significant transition metal oxides because of their intriguing characteristics. Its synthesis employing green chemistry principles has become a key source for next-generation antibiotics attributed to its features such as environmental friendliness, ease of use and affordability. Because they are more environmentally benign, plants have been employed to create metallic NPs. These plant extracts serve as capping, stabilising or hydrolytic agents and enable a regulated synthesis as well.

Organic chemical solvents are harmful and entail intense conditions during nanoparticle synthesis. The copper oxide NPs (CuO-NPs) synthesised by employing the green chemistry principle showed potential antitumor properties. Green synthesised CuO-NPs are regarded to be a strong contender for applications in the pharmacological, biomedical and environmental fields.

The aim of this study is to evaluate the anticancer potential of CuO-NPs plant extracts to isolate and characterise the active anticancer principles as well as to yield more effective, affordable, and safer cancer therapies.

This review article highlights the copper oxide nanoparticle's biomedical applications such as anticancer, antimicrobial, dental and drug delivery properties, future research perspectives and direction are also discussed.

There is a concern in literature about the critical elements of lean enterprise (LE) that can be represented as pillars of lean enterprise excellence. However, existing frameworks proposed on LE excellence are very few. The purpose of this paper is to develop a relationship model among the pillars of a proposed framework of LE excellence in Indian manufacturing industry by Jasti et al. (2020) with the help of interpretive structural modelling (ISM) and structural equation modelling (SEM).

The ISM is constructed on two exemplary cases of lean operations from two Indian manufacturing organisations. These cases were selected based on the implementation of lean practices in respective organisations. The two manufacturing organisations which implemented lean practices at different levels were selected as contenders for constructing ISM. The relationships among pillars and constructs of LE framework are obtained from ISM, and later subjected to statistical testing for model fit by using SEM. The input to SEM was the respondent's data collected in a previous study.

The outcome of the present study revealed that the successful implementation of LE framework requires an appropriate strategy along with top management commitment to get a complete benefits of LE. The study has proposed a strategy to implement the proposed LE framework in Indian manufacturing industry. This study has revealed that ISM developed based on the focal company that implemented lean practices effectively is statistically fit for LE framework.

The study has established paired relationships among lean pillars for an effective implementation of LE framework. The investigation was started by collecting opinions of experts to perform the appropriate interpretations subsequently. However, the expert judgements can be qualitative in nature and prone to bias and impact the final outcome. To overcome these a large-scale empirical survey is suggested to provide a better catch for interactions in LEs.

This study helps in providing concrete practical implications to both academic researchers as well as industry professionals. The practitioners normally focus on finding readymade strategies for implementing LE in the organizations. The comprehensiveness of the present work helps the practitioners in implementing LE strategy with ease. The study revealed that management commitment and leadership is driving force but needs strategic implementation methodology for successful implementation.

Manufacturing industries across the world have been struggling to understand and implement LE strategy effectively. Most of the governments across the world are supporting and motivating various industry practitioners to implement LE strategy by providing financial assistance for conducting training programmes. However, many organizations across the world were not able to implement LE strategy successfully. The present study provides a strategy to implement LE framework effectively in an organization.

The study offers a unique approach for analysing the underlying relationships among pillars of LE for effective management. Researchers can use the results of this study for developing frameworks in various domains of LE.