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Changing scattered and dynamic business rules in business workflow systems has become a growing problem that hinders the use and configuration of workflow-based applications. There is a gap in the existing research studies which currently focus on solutions that are application specific, without accounting for the universal logical dependencies between the business rules and, as a result, do not support adaptation of the business rules in real time. The paper aims to discuss this issue.

To tackle the above problems, this paper adopts a bottom-up approach, which puts forward a component model of the business process workflows and then adds business rules which have clear logical semantics. This allows incremental development of the workflows and semantic indexing of the rules which govern them during the initial acquisition.

The paper introduces an event-driven model for development of business workflows which is purely logic-based and can be easily implemented using an object-oriented technology, together with a model of the business rules dependencies which supports incremental semantic indexing. It also proposes a two-level inference mechanism as a vehicle for controlling the business process execution and the process of adaptation of the business rules at real time based on propagating the dependencies.

The framework is strictly logical and completely domain-independent. It allows to account both synchronous and asynchronous triggering events as well as both qualitative and quantitative description of the conditions of the rules. Although our primary interest is to apply the framework to the business processes typical in the construction industry we believe our approach has much wider potential due to its strictly logical formalization and domain independence. In fact it can be used to control any business processes where the execution is governed by rules.

The framework could be applied to both large business process modelling tasks and small but very dynamic business processes like the typical digital business processes found in online banking or e-Commerce. For example, it can be used for adjusting security policies by adding the capability to adapt automatically the access rights to account for additional resources and new channels of operation which can be very interesting ion both B2C and B2B applications.

The potential scope of the impact of the research reported here is linked to the wide applicability of rule-based systems in business. Our approach makes it possible not only to control the execution of the processes, but also to identify problems in the control policies themselves from the point of view of their logical properties – consistency, redundancies and potential gaps in the logics. In addition to this, our approach not only increases the efficiency, but also provides flexibility for adaptation of the policies in real time and increases the security of the overall control which improves the overall quality of the automation.

The major achievement reported in this paper is the construction of a universal, strictly logic-based event-driven framework for business process modelling and control, which allows purely logical analysis and adaptation of the business rules governing the business workflows through accounting their dependencies. An added value is the support for object-oriented implementation and the incremental indexing which has been possible thanks to the bottom-up approach adopted in the construction of the framework.

β-Carotene is the most appropriate and significant precursor of vitamin A. Synthetic carotene supplements have been known to pose a threat to human health, making natural sources such as the indefensible choice for the production and extraction of carotene.

This study considers Blakeslea trispora, a filamentous fungus, as a source of production of carotenoids by fermentation and wet and dry mycelium were used to analyse and obtain better extraction results.

In this study, natural oils such as soy oil and cottonseed oil were incorporated into fermentation media to increase the production of carotene. For the optimization process, Plackett–Burman and one-factor-at-a-time (OVAT) models were identified as being of great value.

OVAT was carried out for corn starch because it plays a major role in the production of carotene and the corn starch at 30 g/L concentration has shown the maximum activity of 3.48 mg/gm. After optimizing process variables, submerged fermentation was eventually carried out under highly controlled media conditions. The resulting product was quantified using UV spectroscopy and extraction of carotene has been observed in the presence of various solvents. Among a range of solvents used, the methylene Di chloride produced-carotene at 86% recovery at a significantly lower temperature of 35°C.

Women empowerment becomes an important policy discussion in development economics and modernization theory. The empowerment of women can lead to an increase in the quality viz-a-viz the capacity of human resources accessible for economic development. The purpose of this study is to evidence the impact of social and economic dimensions on women empowerment through financial inclusion in rural India.

To reveal the research objective, the study has utilized a primary survey of women respondents from the Gujarat state of India by a simple random sampling method and applied a logistic regression approach to identify the relationship between the need of a bank account (determinant of financial inclusion) as a dependent variable and social and economic dimensions of women empowerment such as earning status, participation in financial decision-making, recipient of social welfare schemes and perception towards the safety of saving as independent variables.

The results of this study show that earning status, participation in financial decision-making at household level and recipient of social welfare schemes by women have a significant impact on women empowerment through financial inclusion; however, safety of their savings is observed as an insignificant variable, yet the odd value is very high (2.437) in the present study.

The present study is the first of its kind to examine the social and economic status of women and its impact on their requirement of a formal bank account for the overall empowerment of women in rural India.

The paper aims to capture the rack-level thermal dynamics in data center. It proposes the rack-level response experiments as well as transient Computational Fluid Dynamics (CFD) analysis to characterize the local thermal environment of the system.

A single sever simulator rack and its two neighboring racks with its cold and hot aisle containment have been modeled with known cold air supply temperature and flow rate for transient CFD analysis. The heat load was kept constant initially and varied case-to-case basis, which includes capturing the rack-level response with respect to changes in input. However, the response experiments on simulator rack were performed for 14 h by variation of server heat loads as step and ramp input.

The paper provides the detailed transient CFD analysis of data center racks. The local cold air flow rates and temperature at the vicinity of the racks showed significant effect due to changes in input. It was concluded that the rack-level dynamics impacts the thermal environment of data center and hence cannot be ignored.

The high computing devices and faster internet demands have led to major thermal management concerns for data center operators. To tackle this issue, capturing the system thermal dynamics is imperative. However, the system-level CFD analysis is computationally expensive. Therefore, this paper deals with the rack-level transient CFD study using commercial tool STAR CCM+.

This paper includes the modeling of the servers as a porous media as well as the multigrid method to enhance the computational speed. The successful implementation of this approach validated through experiments. This would help to establish a base for research in any type of data center.

This paper provides the porous media approach to model servers and multigrid method to enhance the computational speed. At the same time, the thought of characterizing the local dynamics at the vicinity of data center racks is unique.

This study aims to investigate the potential positive effects of cause-related marketing (CRM) campaigns that show evidence of commitment to espoused causes. It examines whether consumers respond positively when a CRM campaign promises to deliver proof of the espoused cause.

This study adopted the grounded theory approach to conceptualize the promised impact evidence construct. A promised impact evidence scale was developed and validated using robust qualitative and quantitative methods, including item response theory estimates.

The study provides evidence for promised impact evidence as a reflective second-order latent construct. The promised impact evidence scale demonstrates strong internal consistency, reliability and validity. In addition, this study posits that promised impact evidence is an antecedent of advertising trust, purchase intention, advertising credibility and persuasive and selling intent.

This study positioned the promised impact evidence scale against the theoretical underpinnings of the persuasion knowledge model. Specifically, this scale contributes to existing knowledge because it applies the persuasion knowledge model in CRM campaigns by adopting an acceptance focus, as opposed to the rejection focus used in developing persuasion knowledge model scales.

The UK Government-funded National Health Service (NHS) is experiencing significant pressures because of the complexity of challenges to, and demands of, health-care provision. This situation has driven government policy level support for transformational change initiatives, such as value-based health care (VBHC), through closer alignment and collaboration across the health-care system-life science sector nexus. The purpose of this paper is to evaluate the necessary antecedents to collaboration in VBHC through a critical exploration of the existing literature, with a view to establishing the foundations for further development of policy, practice and theory in this field.

A literature review was conducted via searches on Scopus and Google Scholar between 2009 and 2019 for peer-reviewed articles containing keywords and phrases “Value-based healthcare industry” and “healthcare industry collaboration”. Refinement of the results led to the identification of “guiding conditions” (GCs) for collaboration in VBHC.

Five literature-derived GCs were identified as necessary for the successful implementation of initiatives such as VBHC through system-sector collaboration. These are: a multi-disciplinarity; use of appropriate technological infrastructure; capturing meaningful metrics; understanding the total cycle-of-care; and financial flexibility. This paper outlines research opportunities to empirically test the relevance of the five GCs with regard to improving system-sector collaboration on VBHC.

This paper has developed a practical and constructive framework that has the potential to inform both policy and further theoretical development on collaboration in VBHC.

The purpose of this paper is to identify the factors influencing the citizens of India to prevent cybercrimes in the proposed Smart Cities of India.

A conceptual model has been developed for identifying factors preventing cybercrimes. The conceptual model was validated empirically with a sample size of 315 participants from India. Data were analyzed using structural equation modeling with SPSS and AMOS softwares.

The study reveals that the “awareness of cybercrimes” significantly influences the actual usage of technology to prevent cybercrimes in Smart Cities of India. The study reveals that government initiative (GI) and legal awareness are less influential in spreading of the awareness of cybercrimes (AOC) to the citizens of the proposed smart cities.

The conceptual model utilizes two constructs from the technology adoption model, namely, perceived usefulness and ease of use. The study employs other factors such as social media, word of mouth, GIs, legal awareness and organizations constituting entities spreading awareness from different related literature works. Thereby, a comprehensive theoretical conceptual model has been proposed which helps to identify the factors that may help in preventing cybercrimes.

This study provides an insight to the policy maker to understand several factors influencing the AOC of the citizens of the proposed Smart Cities of India for the prevention of cybercrimes.

There are few existing studies analyzing the effect of AOC to mitigate cybercrimes. Thus, this study offers a novel contribution.

The purpose of this paper is to review the advanced technologies and approaches for utilization of waste generated in dairy industry. Whey is highly contaminated, with a high organic load around 100,000 mg O₂/L COD (chemical oxygen demand), and is not used for further processing. The waste generated in different food industries can be utilized in different value addition product with the help of advanced technology.

Major well-known bibliometric information sources are the Web of Science, Scopus, Mendeley and Google Scholar. Several keywords like nutrition value of whey, whey utilization, whey valorization, whey technologies, whey beverages, fruit-based whey beverage, carbonated beverage, probiotic or alcoholic beverages, herbal beverage, fermented beverage and current scenarios were chosen to obtain a large range of papers to be analyzed. A final inventory of 126 scientific sources was made after sorting and classifying them according to different criteria based on topic, academic field country of origin and year of publication.

The comprehensive review of different literature, data sources and research papers seeks to find and discuss various sustainable solutions to this huge waste generated from milk industry. The sustainable use of whey for production and conversion in different types of products can uplift the bio-based economy of industries and thereof national/international economy. The recent upsurge in consumer interest for health-promoting products has opened up new vistas for whey beverages and other whey products research and development.

The paper draws out different sustainable characteristics and technology of whey products available in market, as well as potential products to be launched in the market. Interestingly, over the past few years, dairy industries have applied various technologies to process cheese whey and are in search of new products which can be prepared from the by-product. This review discusses on the recent research development of whey valorization with particular reference to technologies used in the addition to their commercial availability and a way forward.

Purpose: Climate-Smart Agriculture (CSA) seeks to support countries with technical and financial conditions. However, institutional and policy considerations are crucial for the effective implementation of climate-smart intervention that is meant to provide sustainable benefits to both men and women. This chapter looks at the issues that range while enforcing an integrated framework that can ensure cohesiveness and integration across the intricate gender-climate-agriculture nexus.

Methodology: The study was conducted by analysing various literature, government policies of multiple countries, UN reports, and case studies.

Findings: According to existing literature, India needs to adopt CSA that includes a gender lens. The migration of men from rural areas and a rise in the number of small and marginal holdings operated by female farmers disproportionately impact women from the adverse effects of climate change.

Significance: Women-led and gender-responsive CSA policies could promote local economies and increase the adaptability and resilience of Indian agriculture.

This work is proposed for low power energy-efficient applications like laptops, mobile phones, and palmtops. In this study, P-channel metal–oxide–semiconductor (PMOS)’s are used as access transistor in 7 transistors (7 T) Static Random Access Memory (SRAM) cell, and the theoretical Static Noise Margin (SNM) analysis for the proposed cell is also performed. A cell is designed using 7 T which consists of 4 PMOS and 3 NMOS. In this paper write and hold SNM is addressed and read SNM is also calculated for the proposed 7 T SRAM cell.

The authors have replaced N-channel metal–oxide–semiconductor (NMOS) access transistors with the PMOS access transistors, which results in proper data line recovery and provides the desired coupling. An error is likely to occur, if the read operation is performed too often probably by using the NMOS pass gate. It results in an improper recovery of the data line. Instead, by using PMOS as a pass gate, the time required for read operation can be brought down. As we know the mobility (µ) of the PMOS transistor is low, so the authors have used this property into the proposed design. When a low signal is applied to its control gate, the PMOS transistor come up with the desired coupling, when working as a pass gate.

Feedback switched transistor is used in the proposed circuit, which plays an important role in the write operation. This transistor is in OFF state and PMOS’s work as access transistor, when the proposed cell operating in read mode. This helps in the reduction of power. This work is simulated using UMC 40 nm technology node in the cadence virtuoso environment. The simulated result shows that, write power saving of 51.54% and 61.17%, hold power saving of 25.68% and 48.93% when compared with reported 7 T and 6 T, respectively.

The proposed 7 T SRAM cell provides proper data line recovery at a lower voltage when PMOS works as the access transistor. Power consumption is very less in this technique and it is best suitable for low power applications.