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The purpose of this paper was to investigate the lubricity of palm biodiesel (PB)–diesel fuel with plastic pyrolysis oil (PPO) and waste cooking biodiesel (WCB).

Three quaternary fuels were prepared by mechanical stirring. B10 (10% PB in diesel) fuel was blended with 5%, 10% and 15% of both PPO and WCB. The results were compared to B30 (30% PB in diesel) and B10. The lubricity of fuel samples was determined using high-frequency reciprocating rig in accordance with ASTM D6079. The tribological behavior of all fuels was assessed by using scanning electron microscopy on worn steel plates to determine wear scar diameter (WSD) and surface morphology. The reported WSD is the average of the major and minor axis of the wear scar.

The addition of PPO and WCB to B10 had improved its lubricity while lowering wear and friction coefficients. Among the quaternary fuels, B40 showed the greatest reduction in coefficient of friction and WSD, with 7.63% and 44.5%, respectively, when compared to B10. When compared to B30a, the quaternary fuel mixes (B40, B30b and B20) exhibited significant reduction in WSD by 49.66%, 42.84% and 40.24%, respectively. Among the quaternary fuels, B40 exhibited the best overall lubricating performance, which was supported by surface morphology analysis. The evaluation of B40 indicated a reduced adhesive wear and tribo-oxidation, as well as a smoother metal surface, as compared to B20 and B30b.

Incorporation of PPO and WCB in PB–diesel blend as a quaternary fuel blend in diesel engines has not been reported. Only a few researchers looked into the impact of PPO and WCB on the lubricity of the fuel.

The purpose of this paper is to present a new cubic B-spline (CBS) approximation technique for the numerical treatment of coupled viscous Burgers’ equations arising in the study of fluid dynamics, continuous stochastic processes, acoustic transmissions and aerofoil flow theory.

The system of partial differential equations is discretized in time direction using the finite difference formulation, and the new CBS approximations have been used to interpolate the solution curves in the spatial direction. The theoretical estimation of stability and uniform convergence of the proposed numerical algorithm has been derived rigorously.

A different scheme based on the new approximation in CBS functions is proposed which is quite different from the existing methods developed (Mittal and Jiwari, 2012; Mittal and Arora, 2011; Mittal and Tripathi, 2014; Raslan et al., 2017; Shallal et al., 2019). Some numerical examples are presented to validate the performance and accuracy of the proposed technique. The simulation results have guaranteed the superior performance of the presented algorithm over the existing numerical techniques on approximate solutions of coupled viscous Burgers’ equations.

The current approach based on new CBS approximations is novel for the numerical study of coupled Burgers’ equations, and as far as we are aware, it has never been used for this purpose before.

Considering the economic dimension of sustainability, the purpose of this paper is to analyze the risk of bankruptcy in the Pakistani firms of the non-financial sector from years 1995 to 2017.

Three techniques were used which include multivariate discriminant analysis (MDA), logit regression and multilayer perceptron artificial neural networks. The accounting data of firms were selected one year before the bankruptcy.

Findings were obtained by comparing and analyzing the methods which show that neural networks model outperforms in the prediction of bankruptcy. They further conclude that profitability and leverage indicators have the power of discrimination in bankruptcy prediction and the best variables to predict financial distress are also found and indicated.

Practically, this study may help the firms to better anticipate the risks of getting bankrupt by choosing the right method and to make effective decision making for organizational sustainability.

Three different techniques were used in this research to predict the bankruptcy of non-financial sector in Pakistan to make an effective prediction.

This study aims to compare the antioxidant and antimicrobial activity of different parts (tip, mid and base portion) of lemongrass leaves for application as a natural ingredient in the functional drink.

Lemongrass leaf powder was prepared from different parts of leaves and evaluated for nutritional composition. Additionally, the extracts of different portions of lemongrass leaves were analyzed for total phenolics, free radical scavenging activities, ferric reducing antioxidant potential (FRAP) and antimicrobial activities for their application in food products.

Tip portion of lemongrass leaf anticipated significantly (p < 0.05) higher contents of ash, protein, calcium, potassium and iron i.e. 6.2 mg/100 g, 18 mg/100 g, 340 ppm, 819 ppm and 32 ppm, respectively. Maximum (p < 0.05) phenolics (14.7 mg GAE/100 g), 2,2-diphenyl-1-picryl-hydroxyl (86.3%) and FRAP (200 mmol/100 g) were observed in lemongrass leaf tip methanolic extracts. Moreover, lemongrass leaf tip hydro-methanolic extracts portrayed maximum zone of inhibition against E. coli and Staphylococcus aureus i.e. 16.7 and 18.2 mm, respectively.

This study demonstrated higher antimicrobial and antioxidant activities of the tip of lemongrass leaves as compared with mid and base portions, hence suggesting its role in the improvement of physicochemical, antimicrobial and antioxidant properties of food products. Consequently, the application of lemongrass methanolic extract up to 10% remarkably enhanced the nutritional value and sensorial acceptance of the beverages.

The present research draws evidence from laboratory analysis of fresh lemongrass grown in Pakistan. The findings suggest that lemongrass methanolic extracts could be used as a nutritionally rich source of antioxidant activity in functional drinks.

Drawing upon social cognitive theory (SCT), the authors aimed to examine the relationship between supervisors' knowledge-oriented leadership (KOL) style and knowledge workers' performance. The authors further investigated the conditional indirect effects of KOL on workers' performance through knowledge management (KM) engagement at different levels of workers' empowerment.

The authors used a time-lagged field survey and collected data from 212 knowledge workers and their 72 supervisors working in 15 knowledge-intensive firms across Pakistan.

The results showed that supervisors' KOL positively affected knowledge workers' performance both directly and through KM engagement. Similarly, the effect of KM engagement on workers' performance was stronger for those who experienced higher levels of empowerment. Finally, the indirect effects of KOL on workers' performance through KM engagement were stronger for higher levels of empowerment.

The study provided theoretical implications, specifically in a non-Western work context where KOL is relatively less explored. Additionally, the authors examined the concept of empowerment, using SCT, as a boundary condition, providing evidence for empowerment as a contingency factor that fosters employees' performance.

Although the importance of climate change is generally acknowledged, its impacts are often not taken into account explicitly when planning development projects. This being due to limited resources, among others, this paper aims to propose a simple and low-cost approach to assess the viability of human activities under climate change.

Many human activities are feasible only within a narrow range of climatic conditions. Comparing such “climate corridors” with future climate projections provides an intuitive yet quantitative means for assessing needs for, and the viability of, adaptation activities under climate change.

The approach was tested within development projects in Pakistan, Peru and Tajikistan. The approach was shown to work well for forestry and agriculture, indicating positive/negative prospects for wheat in two districts in Pakistan, temperature constraints for maize in Peru and widening elevation ranges for walnut trees in Tajikistan.

Climate corridor analyses feed into the preparation of Local Adaptation Plans of Action in Pakistan.

The simplicity and robustness of climate corridor analysis allow for efficient analysis and communication of climate change impacts. It works when data availability is limited, but it can as well accommodate a wide range of complexities. It has proven to be an effective vehicle for mainstreaming climate change into adaptation planning.

The purpose of this study was to understand the effects of creative self-efficacy and affective personal commitment on individuals' knowledge creation and innovative work behaviors.

This study used a time-lagged field survey to collect data from a diverse sample across various organizations in Pakistan (N = 249 paired responses). Main and mediating effects were tested using bootstrapping technique.

The results revealed that affective personal commitment and creative self-efficacy significantly predicted supervisory-rated innovative performance directly and indirectly through knowledge creation ability (KCA).

The study uniquely contributed to the body of knowledge by developing and validating scales for KCA and affective personal commitment. In addition, the study contributed to the body of knowledge by examining the antecedents and outcomes of KCA.

This paper examines the categories of property attributes that are important to UK university students in their online accommodation search. It also analyses the volume of information displayed regarding the property attributes and explores the influence of some of the information provided on the attractiveness and by extension, the booking potential of the property.

The authors use data from an online student accommodation listing platform – student.com – which contain tangible and non-tangible property attributes, and the data are analysed using a hedonic regression model.

The results show that purpose-built student accommodation's (PBSA) tangible and intangible attributes are important to students in their online accommodation search, although, these attributes vary in impact. The study also reveals that failure to display key information of a PBSA may reduce the attractiveness of the property.

The empirical evidence on student accommodation ex ante preferences and choices is limited, particularly as it relates to online accommodation search in a UK context. The authors' approach to identify the application of the search theory to the student accommodation search process is particularly unique.

The lack of a proper register to store, match and display information on the adapted property has led to a waste of resources and prolonged delays in matching the disabled and elderly people with appropriate properties. This paper presents the development of a Housing Adaptations Register with user-matching functionalities for different mobility categories. The developed system accurately captures and documents adapted home information to facilitate the automated matching of disabled/aged applicants needing an adapted home with suitable property using banding, mobility and suitability index.

A theoretical review was conducted to identify parameters and develop adaptations register construct. A survey questionnaire approach to rate the 111 parameters in the register as either moderate, desirable or essential before system development and application. The system development relied on DSS modelling to support data-driven decision-making based on the decision table method to represent property information for implementing the decision process. The system is validated through a workshop, four brainstorming sessions and three focus group exercises.

Development of a choice-based system that enables the housing officers or the Housing Adaptations Register coordinators to know the level of adaptation to properties and match properties quickly with the applicants based on their mobility status. The merits of the automated system include the development of a register to capture in real-time adapted home information to facilitate the automated matching of disabled/aged applicants. A “choice-based” system that can map and suggest a property that can easily be adapted and upgraded from one mobility band to the other.

The development of a housing adaptation register helps social housing landlords to have a real-time register to match, map and upgrade properties for the most vulnerable people in our society. It saves time and money for the housing associations and the local authorities through stable tenancy for adapted homes. Potentially, it will promote the independence of aged and disabled people and can reduce their dependence on social and healthcare services.

This system provides the local authorities with objective and practical tools that may be used to assess, score, prioritise and select qualified people for appropriate accommodation based on their needs and mobility status. It will provide a record of properties adapted with their features and ensure that matching and eligibility decisions are consistent and uniform.

Delay in housing adaptation is a major problem, especially in assessing if homes are suitable for the occupants and in determining if the occupants are qualified for the Disabled Facilities Grant (DFG). This paper describes the development of two self-administered intelligent integrated assessment tools from the DFG Adapt-ABLE system: (1) The Home Suitability Assessment Platform, which is a preventive mechanism that allows assessment of the suitability of homes based on occupants’ mobility status and (2) an indicative assessment platform that determines if the applicants are qualified for the DFG to prevent lengthy delays.

The adopted method aligned with a development study approach: a grounded literature review, a severity measurement approach, two stakeholder engagement workshops, four brainstorming sessions and four focus group exercises. The system development relied on Entity–Relationship Diagram (ERD) technique for data structures and database systems design. It uses DFG context sensitivity with alignment with DFG guidance, interlinkages and interoperability between the assessment tools and other platforms of the integrated Adapt-ABLE system.

The assessment tools are client-level outcomes related to accessibility, usability and activity based on the assessment process. The home suitability platform shows the percentage of the suitability of a home with assessment results that suggest appropriate action plans based on individual mobility status. The indicative assessment combines the function of referral, allocation, assessment and test of resources into an integrated platform. This enables timely assessment, decision-making and case-escalation by Occupational Therapists based on needs criteria and the eligibility threshold.

These assessment tools are useful for understanding occupants’ perception of their physical housing environment in terms of accessibility, suitability and usability based on basic activities of daily living and their mobility status. The indicative self-assessment tool will substantially cut down the application journey. The developed tools have been recommended for use in the CSJ Disability Commission report and the UK government Guidance on DFGs for local authorities in England.