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This paper aims to present a non-linear mathematical model-based routing protocol for wireless body area networks (WBANs). Two non-linear mathematical models for WBANs are used in the proposed protocols Model 1 and Model 2. Model 1 intends to improve the data transmission rate and Model 2 intends to reduce energy consumption in the WBANs. These models are simulated for fixed deployment and priority-based data transmission, and performance of the network is analyzed under four constraints on WBANs.

Advancements in wireless technology play a vital role in several applications such as electronic health care, entertainment and games. Though WBANs are widely used in digital health care, they have restricted battery capacity which affects network stability and data transmission. Therefore, several research studies focused on reducing energy consumption and maximizing the data transmission rate in WBANs.

Simulation results of the proposed protocol exhibit superior performance in terms of four network constraints such as residual energy, the stability of the network, path loss and data transmission rate in contrast with conventional routing protocols. The performance improvement of these parameters confirms that the proposed algorithm is more reliable and consumes less energy than traditional algorithms.

The Model 1 of the proposed work provides maximum data extraction, which ensures reliable data transmission in WBANs. The Model 2 allocates minimal hop count path between the sink and the sensor nodes, which minimizes energy consumption in the WBANs.

The foreign-born skilled immigrant population is growing rapidly in Canada but finding a job that utilizes immigrants’ skills, knowledge and experience is challenging for them. The purpose of this paper is to understand the self-perceived health and social status of skilled immigrants who were working in low-skilled jobs in the service sector in Ottawa, Canada.

In this qualitative study, semi-structured interviews with 19 high-skilled immigrants working as taxi drivers and convenience store workers in the city of Ottawa, Canada were analysed using a grounded theory approach.

Five major themes emerged from the data: high expectations but low achievements; credential devaluation, deskilling and wasted skills; discrimination and loss of identity; lifestyle change and poor health behaviour; and poor mental and physical health status.

The study demonstrates the knowledge between what skilled immigrants expect when they arrive in Canada and the reality of finding meaningful employment in a country where international credentials are less likely to be recognized. The study therefore contributes to immigration policy reform which would reduce barriers to meaningful employment among immigrants reducing the impacts on health resulting from employment in low-skilled jobs.

This study provides unique insights into the experience and perceptions of skilled immigrants working in low-skilled jobs. It also sheds light on the “healthy worker effect” hypothesis which is a highly discussed and debated issue in the occupational health literature.

The choice of best machining parameters is an extremely basic factor in handling of any machined parts. The purpose of this paper is to exhibit a multi-objective optimization technique; in view of weighted aggregate sum product assessment (WASPAS) technique toward upgrade the machining parameters in modified air abrasive jet machining (MAAJM) process: injecting pressure, stand-off distance (SOD), and abrasive mesh size measure with 100 rpm rotatable worktable on Nickel 233 alloy material. Three conflicting destinations, material removal rate (MRR), surface roughness (SR) and taper angles (Ta), respectively, are considered at the same time. The proposed procedure uses WASPAS, which is the examination of parametric optimization of the abrasive jet machining (AJM) process. The results was used any scopes of reactions in MAAJM process is the ideal setting of parameters are resolved through investigations represented. There is wide utilization of Nickel 233 in aviation enterprises; machining information on producing a hole utilizing MAAJM for the first time is given in this work, which will be helpful different industries.

This paper exhibits a multi-objective optimization technique; in view of WASPAS technique toward upgrade the machining parameters in MAAJM process: injecting pressure, SOD, and abrasive mesh size measure with 100 rpm rotatable worktable on Nickel 233 alloy material.

As an outcome of using the tool in any ranges of responses in the AJM process, the optimal setting of parameters is determined through experiments illustrated. The machining data of generating a hole using AJM are studied for the first time in this work, which will be useful for aerospace industries, where Nickel 233 is used broadly.

A new material in unconventional machining process and also a multi-objective optimization technique are adopted.

Technological intervention for housing construction in rural areas in India is very low. The purpose of this paper is to understand the mutual influences of the variables influencing technology transfer in the rural housing sector.

Using interpretive structural modeling, the research presents a hierarchy‐based model and the mutual relationships among the variables of innovative and cost‐effective technology transfer.

The outcome of the research is a framework for technology transfer in rural India. The research shows that there exists a group of variables having a high driving power and low dependence requiring maximum attention. Another group consists of those variables which have high dependence and are the resultant actions.

This framework provides a useful tool to understand the mutual relationships among different variables in effective technology transfer.

Presentation of variables in a hierarchy and the classification into driver and dependent categories is unique in the area of technology transfer in the rural housing sector.

The study attempted to assess the food security status of urban agriculture households in Ghana and India. Also, the extent of urban agriculture participation and its effect on food security in Ghana and India were examined.

A total of 650 urban agriculture farmers were interviewed for this study in Ghana and India. Food security status of urban households was assessed by the use of the Household Food Insecurity Access Scale, whereas the determinants of the extent of urban agriculture and its effect on food security were analysed by the use of the heteroskedastic linear regression and the Seemingly Unrelated Regression models, respectively.

From the study on average, households in Ghana were mildly food insecure, but that of India was moderately food insecure. The results further revealed that various demographic, economic, institutional and health and nutrition factors differently influenced urban food security and urban agriculture. Also, the extent of urban agriculture participation positively influenced food security.

Several studies in Asia (India) and Africa (Ghana) on urban food security have been geographically limited to New Delhi, Mumbai and Greater Accra, with few studies in the Middle Belt of Ghana, and Bihar in India. Besides, there is a limited, rigorous, empirical study on the effect of the extent of UA on food security in Asia (India) and Africa (Ghana) individually and together. Moreover, we extend the frontiers of the methodological approach by applying the Seemingly Unrelated Regression (SUR) model to understand if the factors that affect food-security accessibility based on two food security accessibility tools are correlated.

The purpose of this paper is to propose the idea of linking the use of the Monte Carlo simulation with scenario planning to assist strategy makers in formulating strategy in the face of uncertainty relating to service quality gaps for life insurance business, where discontinuities always remain for need‐based selling.

The paper reviews briefly some applications of scenario planning. Scenario planning emphasizes the development of a strategic plan that is robust across different scenarios. The paper provides considerable evidence to suggest a new strategic approach using Monte Carlo simulation for making scenario planning.

The paper highlights which particular service quality gap attribute as risk impacts most and least for the possibility of occurrences as best case, worst case, and most likely case.

This study suffers from methodological limitations associated with convenience sampling and anonymous survey‐based research.

The approach using Monte Carlo simulation increases the credibility of the scenario to an acceptable level, so that it will be used by managers and other decision makers.

The paper provides a thorough documentation on scenario planning upon studying the impact of risk and uncertainty in service quality gap for making rational decisions in management of services such that managers make better justification and communication for their arguments.

The paper offers empirical understanding of the application of Monte Carlo simulation to scenario planning and identifies key drivers which impact most and least on service quality gap.

This paper traces the historical evolution and growth trajectory of the automotive and farm equipment sector, which is a very significant entity of the Mahindra & Mahindra (M&M) group. The purpose of this paper is to understand and provide a pragmatic framework through which the authors can see what were the internal and external factors and the spirit of the contemporary times that led to the changes in the nature of the group.

The “Greiner curve” model has been applied to interpret the evolutionary growth of the group and strategic trajectory explaining characteristics in its different phases.

M&M initially went through its share of learning and grew through pragmatic and, orchestrated entrepreneurial risk. The group made a very successful transition from a proprietorship model to a professionally managed group. It is found that rapid growth has been possible through innovation led collaboration. The group is increasingly organizing its innovation activities around the development of responses to specific challenges.

This study suffers from methodological limitations associated with a stage model that the estimated length of the time the organizations will stay in a phase is not known. It is unclear whether passage through all stages is necessary; or whether, in some circumstances, one or more stages may be omitted, and if variations in sequencing can occur. The data for the initial years was not available in primary form and the paper had to depend entirely on the secondary sources.

Various strategies adopted by the group from time to time have practical implications for Indian economy. The group has faced many challenges, but challenge-led collaboration-driven approach represents a new type of innovation process that contrasts with other methods of business strategies and provides a sharper focus for managerial and technical issues and brings together stakeholders with diverse interests, expertise and perspectives.

This study is a unique attempt in India to trace the evolution of the strategic interventions in the context of a major business group, which is considered to be a symbolic representation of Indian economic history. The paper has got both academic as well as managerial utility.

The downstream oil marketing companies (OMCs) have an opportunity to compensate their huge under-recovery by increasing non-fuel revenues through strategic planning for collaboration with organized companies (OCs) of auto-servicing sector, who are experiencing a surge in the demand for auto-servicing. The purpose of this paper is to explore the business need for strategic collaboration and empirically validate the building mechanism for collaborative capacities between the two sectors (OMCs and OCs).

The paper is designed to explore the implementation of collaboration using needs analysis, exploratory factor analysis and structural equation modelling process for building collaborative capacities between the two sectors.

Although alignment is a necessary condition before allowing for a valid collaboration between the two sectors, the external alignment process is highly significant for implementing collaboration unlike the internal alignment process.

Methodological limitations include the use of convenience sampling and anonymous survey-based research.

Selecting the “right” identified factors for collaboration is unquestionably one of the most important topics in the collaboration literature, which holds vast practical implications.

This study provides practical and theoretical insights for implementing collaboration based on empirical results.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Mahindra & Mahindra initially went through its share of learning and grew through pragmatic and orchestrated entrepreneurial risk. The group made a very successful transition from a proprietorship model to a professionally managed group. It is found that rapid growth has been possible through innovation-led collaboration. The group is increasingly organizing its innovation activities around the development of responses to specific challenges.

The paper provides strategic insights and practical thinking that have influenced some of the world’s leading organizations.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

The purpose of this study is to understand the basics of interactions of groundwater and surface water, which is needed for effective management of water resources.

The experimental setup was framed using curved flume and the straight flume, which simulates the model of river and groundwater storage, respectively. The model set up further consists, downstream, central and upstream sections where 14 observation wells, which are arranged at a measured distance from the canal side.

Exit gradient is higher at downstream when the average head differences between canal and river are 31.9 cm and 35.7 cm. Free seepage height is more in the downstream wells than upstream and central wells. At the downstream section, there is a greater chance of instability of the riverbank.

Results will be used for better planning of hydraulic structural design.

Results will help in storing the large water and better irrigation planning for the water acute states and locations.

The originality is own developed physical model and its own first type to understand the basic of interaction and effects.