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The purpose of this paper is to study the recent work carried out in enhancing the properties of bitumen using nano-additives. Bitumen is a by-product obtained from the refining process of crude oil, therefore making it a diminishing product. It has been used by mankind since ages for various applications like sealants, binders, waterproof coatings and pavement construction material. It is a black viscous substance with adhesive nature.

Bitumen is used as a binding material because of its ability to become liquid when heated and become solid when cooled and thus used largely in construction of roads because of its unique properties. Low softening point of bitumen leads to melting of bitumen during summer and causes rutting of roads, whereas during winter it leads to cracking as bitumen acts brittle in nature during low temperature. Increasing global demand of bitumen has created gap between demand and supply which is increasing with the passage of time. Further modern life has created very high traffic volume and heavy load which makes it essential to improve performance of bitumen.

Research studies have reported that the thermal properties of bitumen are enhanced by using thermoplastic polymers such as styrene-butadiene-styrene, polyethylene and ethylene-vinyl acetate, rubber and bio waste etc.

This paper reviews various types of materials which have been used to improve the properties of bitumen and explores the possibility to synthesise bitumen composite materials with nanoadditives with improved structural, mechanical and thermal properties.

The purpose of this paper is to investigate how the effects of sex role orientation (SRO) on conflict resolution strategies vary across ethnic groups.

A questionnaire was used with a sample of 295 husbands and 288 wives of British White, Indian and African Black origin residents of London and Manchester in the UK.

The results showed that SRO had a significant impact on conflict resolution strategies for both husbands and wives across the three British ethnic groups. A modern SRO encourages bargaining within all the three ethnic groups and playing on emotion, disengagement and assertiveness for Indians and African Black husbands. In addition, a modern SRO increases bargaining for African Blacks wives and playing on emotion, supplication and assertiveness for British Whites wives.

Overall, the paper provides substantial evidence of differences in the use of conflict resolution strategies by husbands and wives from the three ethnic groups.

The paper contributes to knowledge about differences in the effects of SRO on conflict resolution strategies used in joint purchase decisions for major household durables in a multicultural country.

Buildings are among the biggest contributors to environmental impacts. To achieve energy-saving and decarbonisation objectives while also improving living conditions, it is imperative to undertake large-scale renovations of existing buildings, which constitute the greater part of building stock and have relatively low energy efficiency. However, building renovation projects poses significant challenges owing to the absence of optimised tools and methods for planning and executing renovation works, coupled with the need for a high degree of interaction with occupants.

This paper describes the development of an automated process, based on building information modelling (BIM) and the principal component analysis method, for overcoming building renovation challenges. The process involves the assessment and simulation of renovation scenarios in terms of duration, cost, effort needed and disruptive potential. The proposed process was tested in three case studies; multi-residence apartment buildings comprising different construction components and systems, located in Greece, France and Denmark, on which six different renovation strategies were evaluated using sensitivity analysis.

The developed tool was successfully able to model and simulate the six renovation scenarios across the three demonstration sites. The ability to simulate various renovation scenarios for a given project can help to strategise renovation interventions based on selected key performance indicators as well as their correlation at two different levels: the building level and the renovated surface area level.

The objectives of this paper are twofold: firstly, to present an automated process, using BIM, for evaluating and comparing renovation scenarios in terms of duration, cost, workers needed and disruptive potential; next, to show the subsequent testing of the process and the analysis of its applicability and behaviour when applied on three live demonstration sites located in three different European countries (France, Greece and Denmark), involving six renovation scenarios.

Meal left after extraction of microalgae functional compounds is not finding its application in food. Hence, present study was aimed for the development of the cookies supplemented with meal of microalgae Chlorella sp. (Abca-17) obtained after solvent extraction of chlorophyll.

Cookies were prepared by substituting refined wheat flour (RWF) with microalgae meal (MM) at incorporation levels of 3, 6, 9 and 12 per cent. The effect of replacement of RWF with MM was analyzed on the pasting properties of the flour blends and physical, chemical, sensory and textural characteristics of the cookies.

MM exhibited high water and oil absorption capacity of 0.8 g/g and 1.2 g/g, respectively. Weight and thickness of the cookies increased, whereas the diameter, spread ratio and spread factor decreased with the increased proportion of meal in flour blends. The moisture and ash content (0.8-2.0 per cent) of the cookies increased, whereas fat content showed no pronounced variation. Sensory evaluation of cookies revealed no significant difference at 6 per cent level of incorporation and further supplementation resulted in dark colour and increased hardness. Texture profile analysis of cookies also revealed that the peak positive force for breaking the cookies increased (3115.6-7372.1 N) with increase in the level of incorporation of meal.

MM can be used in the development of the cookies at level of incorporation of 6 per cent and presents novice approach for utilization of bioprocessing waste.

The present study is a pioneer effort in demonstration of utilization of MM as alternate food ingredient. MM of Chlorella sp. (Abca-17) was characterized as food ingredient using physicochemical analysis and model food system using cookies.

The purpose of the study is to classify the radiographic images into three categories such as fillings, cavity and implant to identify dental diseases because dental disease is a very common dental health problem for all people. The detection of dental issues and the selection of the most suitable method of treatment are both determined by the results of a radiological examination. Dental x-rays provide important information about the insides of teeth and their surrounding cells, which helps dentists detect dental issues that are not immediately visible. The analysis of dental x-rays, which is typically done by dentists, is a time-consuming process that can become an error-prone technique due to the wide variations in the structure of teeth and the dentist's lack of expertise. The workload of a dental professional and the chance of misinterpretation can be decreased by the availability of such a system, which can interpret the result of an x-ray automatically.

This study uses deep learning (DL) models to identify dental diseases in order to tackle this issue. Four different DL models, such as ResNet-101, Xception, DenseNet-201 and EfficientNet-B0, were evaluated in order to determine which one would be the most useful for the detection of dental diseases (such as fillings, cavity and implant).

Loss and accuracy curves have been used to analyze the model. However, the EfficientNet-B0 model performed better compared to Xception, DenseNet-201 and ResNet-101. The accuracy, recall, F1-score and AUC values for this model were 98.91, 98.91, 98.74 and 99.98%, respectively. The accuracy rates for the Xception, ResNet-101 and DenseNet-201 are 96.74, 93.48 and 95.65%, respectively.

The present study can benefit dentists from using the DL model to more accurately diagnose dental problems.

This study is conducted to evaluate dental diseases using Convolutional neural network (CNN) techniques to assist dentists in selecting the most effective technique for a particular clinical condition.

The current study seeks to explore ethnic diversity in Britain by investigating the strength of ethnic identity and acculturation levels of two British ethnic minority groups – Indians and African Blacks. The study also aims to examine the role of demographic characteristics in explaining the strength of ethnic identity and acculturation levels between the surveyed ethnic groups.

The study utilized a survey research design. Data was collected using a personally administered structured questionnaire from a convenience sample of 365 married ethnic members.

The results of t‐tests revealed that both Indians and African Blacks are strong ethnic identifiers and highly‐acculturated. Further results based on step‐wise regressions showed that age and income offer more explanatory power of ethnic diversity among African Blacks and Indians respectively.

The study highlights the complexity and importance of ethnicity in the development of multicultural strategies in Britain.

Research relating to ethnic diversity in Britain is relatively limited and of the very few studies available, there has been more emphasis on qualitative research approaches. This study also offers findings on ethnicity at a time when there is growth in the population of ethnic markets in Britain.

This study aims to investigate the evolutionary pathways adopted by a digital platform to favor the development of an entrepreneurial ecosystem inspired by circular economy behaviors, becoming an enabler in the development of a coevolutionary relationship between entrepreneurial ecosystems and circular economy.

An in-depth single-case study method has been applied, investigating the case of circularity.com, the first and only circular economy industrial symbiosis platform in Italy.

The paper shows how digital platforms can transition towards circular business models, particularly for small and medium enterprises (SMEs). Moreover, the findings show how sustainable platforms' need to revise their business models to effectively engage with stakeholders. The analysis also shows the central role covered by entrepreneurial ecosystems in the transition towards a more circular and sustainable business models.

This paper contributes to theoretical development by offering new and insightful explanations of firms' behavior and coevolution, moving beyond the classic interpretation of industry dynamics and analyzing a unique case study. This study has implications for both practice and research, as it offers a better and more holistic understanding of the enabling role of digital platforms for a circular economy.

The purpose of this paper is to focus on the development of an integrated computerised maintenance management system to improve the information storage of design and construction, diagnostic and defect risk assessments on IBS building through the integration of building information modelling (BIM).

The methodology used interviews with the IBS building client/maintenance contractor in Malaysia to gather information about maintenance management problems, approaches to address problems, information and communication technology implementation and use of emerging technologies, in addition to prototyping a system development life cycle for system development.

Relevant process flowchart documents of system development were obtained from the case study and reviewed to assist in providing an automation technique for decision-making and structural defect diagnostic operation through the integration of Visual Basic.Net, MS Access and Autodesk Revit software.

This research focuses on automatic bidirectional communications between an Expert System and BIM on a database level. Adoption of the approaches suggested in the research will enable the system to promote the development of zero IBS building maintenance.

The purpose of this paper is to examine the structural relationships between the job itself (i.e. job characteristics), employee well-being and job performance in light of the new administrative reform called the Government Transformation Program in Malaysia that stresses on measurable performance outputs.

A total of 208 public sector employees from various public agencies and departments in the northern region of Peninsular Malaysia were surveyed. Some of the agencies that took part in the study include state departments, the fishery department, agriculture-related agencies and the rural development agency.

The authors observed that feedback positively influenced employee well-being, which served as a significant mediator in the relationship between feedback and job performance. The results indicated that 26.4 percent of the variance that explained employee well-being was accounted for by the different characteristics of a job. The authors also demonstrated that employee well-being accounted for 41.8 percent of job performance.

The authors recommended that public sector managers consider the element of feedback and enhance employee well-being to improve job performance.

This study offers an insight into the effect of perceived changes in the job itself on employee well-being and subsequent job performance in light of government reforms.