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Over the last few decades, the use of plastics as packaging materials has increased due to their properties and processibility. On the other hand, as a result of contact of packed food with plastics, traces of plastic components may migrate into the food medium contaminating it and affecting consumers’ health. This work concerns the study of migration of DINP and DOP plasticisers from PVC sheets into foodstuffs. PVC sheets using either type of plasticisers with different concentrations were prepared and then put in contact with different food simulants. Gravimetric analysis was used to determine the loss in plasticised PVC sheets upon immersion in food simulants. Changes in mechanical properties of tested sheets were observed. IR was used in the detection of plastic components in food simulants. A comparison was held between the migration of DINP and DOP plasticisers into food simulants.

The removal of Ismative SHR blue (reactive dye) using a very cheap cement factory waste called by‐pass kiln dust has been investigated in batch mode. The effects of initial dye solution concentration, particle size, agitation rate, amount of by‐pass kiln dust, and dye solution temperature were studied. A 95.5 per cent removal was achieved. Some pretreatment of by‐pass kiln dust, such as washing by distilled water or rinsing with HCL solution, has been done. By using the washed by‐pass kiln dust the values of total dissolved solids, alkalinity, and efficiency of colour removal were reduced. A very rapid irreversible chemical reaction may occur in addition to the adsorption process. Ferric chloride was used as a coagulant after settling to complete the separation of the dust from the clear solution. A removal of 96 per cent from the initial colour of the industrial coloured wastewater was achieved.

This paper aims to maintain the high service quality of the long-term care service providers by establishing a knowledge-based system so as to enhance the service quality of nursing homes and the performance of its nursing staff continually.

An intelligent case-based knowledge management system (ICKMS) is developed with the integration of two artificial intelligence techniques, i.e. fuzzy logic and case-based reasoning (CBR). In the system, fuzzy logic is adopted to assess the performance through the analysis of the long-term care services provided, nurse performance and elderly satisfaction, whereas CBR is used to formulate a customized re-training program for quality improvement. A case study is conducted to validate the feasibility of the proposed system.

The empirical findings indicate that the ICKMS helps in identification of those nursing staff who cannot meet the essential service standard. Through the customized re-training program, the performance of the nursing staff can be greatly enhanced, whereas the medical errors and complaints can be considerably reduced. Furthermore, the proposed methodology provides a cost-saving approach in the administrative work.

The findings and results of the study facilitate decision-making using the ICKMS for the long-term service providers to improve their performance and service quality by providing a customized re-training program to the nursing staff.

This study contributes to establishing a knowledge-based system for the long-term service providers for maintaining the high service quality in the health-care industry.

The study aims to cope with the problems confronted in the skin lesion datasets with less training data toward the classification of melanoma. The vital, challenging issue is the insufficiency of training data that occurred while classifying the lesions as melanoma and non-melanoma.

In this work, a transfer learning (TL) framework Transfer Constituent Support Vector Machine (TrCSVM) is designed for melanoma classification based on feature-based domain adaptation (FBDA) leveraging the support vector machine (SVM) and Transfer AdaBoost (TrAdaBoost). The working of the framework is twofold: at first, SVM is utilized for domain adaptation for learning much transferrable representation between source and target domain. In the first phase, for homogeneous domain adaptation, it augments features by transforming the data from source and target (different but related) domains in a shared-subspace. In the second phase, for heterogeneous domain adaptation, it leverages knowledge by augmenting features from source to target (different and not related) domains to a shared-subspace. Second, TrAdaBoost is utilized to adjust the weights of wrongly classified data in the newly generated source and target datasets.

The experimental results empirically prove the superiority of TrCSVM than the state-of-the-art TL methods on less-sized datasets with an accuracy of 98.82%.

Experiments are conducted on six skin lesion datasets and performance is compared based on accuracy, precision, sensitivity, and specificity. The effectiveness of TrCSVM is evaluated on ten other datasets towards testing its generalizing behavior. Its performance is also compared with two existing TL frameworks (TrResampling, TrAdaBoost) for the classification of melanoma.

There is an urgent need to upscale accessible mental health (MH) interventions that address barriers to care among Syrian refugee adolescents. The Happy Helping Hand (HH) is an innovative, cognitive behavioral digital game designed to improve MH for adolescents across digital divides. This study aims to examine the impact of HH implemented among Syrian refugees who varied according to group size and face-to-face (F2F) versus digital contact.

This mixed-methods study took place in Central Beqaa, Lebanon, from September 2020 to February 2021. Nine groups of Syrian displaced adolescents (n = 125) aged 13–17 years (M_age = 13.6 years) were recruited from an education center, two orphanages and one informal settlement to participate in the ten-session HH program. The WHO-Five-Well-being Index (WHO5) is a validated measure used to evaluate HH impact on MH at baseline and directly postintervention.

Significant improvements were seen in WHO5 scores in F2F and digital settings from baseline to follow-up. At baseline, 28% reported normal well-being, which increased to 99% after HH participation. WHO5 scores changed from M = 59.4 at baseline, indicating depression, to M = 77.3 at follow-up, indicating normal well-being. Smaller groups with more F2F contact reported greater improvements in mean WHO5 than larger groups with less F2F contact. The greatest aggregate change in well-being was achieved when HH was implemented digitally in bigger groups.

Study results indicate that the HH game can improve well-being and MH for Syrian refugees. Importantly, results build on the base of evidence on digital MH interventions as promising tools on the way to ensure healthy lives and well-being for all.

The study area is regionally covered by rock exposures ranging in age from the Precambrian to Quaternary. The aeromagnetic survey is a useful tool that help in geological mapping, providing information at a reasonable proportion of the cost of ground mapping. The reduced to the northern magnetic pole (RTP) map was separated into regional and residual magnetic component maps by the computed power spectrum of the magnetic data. The estimated mean depths of both regional and residual magnetic sources were found to be 2510 m and 383 m respectively. Also, two advanced techniques were used to analyze the depth magnetic data. These methods are analytical signal (AS) and source parameter imaging (SPI). The results of average depth estimates both methods (–950 m). These depth values were helped -to great extent- for define the direction of throw for the interpreted faults in the basement tectonic map. The statistical analysis shows that, most of the welldeveloped structural features are oriented mostly in the N-S, NNE-SSW, NW-SE and NNWSSE trending faults are considered the main trends affecting the distribution of the radioactive minerals.

This study aims to analyze the challenges in financing the healthcare system of Pakistan and develop a comprehensive health financing strategy aimed at achieving universal health coverage (UHC).

The paper utilizes World Health Organization (WHO) framework on health financing to build the argument. It uses qualitative research design involving focus group discussions and in-depth interviews with key stakeholders, including Federal Board of Revenue, Ministry of Finance, Planning Commission, development partners, academia and health ministries at federal and provincial levels, as well as social health insurance entities.

The research findings highlight several critical issues within Pakistan’s healthcare system: Firstly, health spending is inadequate to provide financial protection to 24 million people. Secondly, the available health funding is allocated in clusters and caters primarily to specific groups, which exacerbates inequities in healthcare provision. Thirdly, the existence of multiple purchasing agents who operate concurrently to buy health services results in duplication and wastage of resources. Fourthly, the public financial management system, intended to support the swift distribution of public funds to health facilities, is not aligned with the requirements of the health system. Lastly, the devolved health setup has led to governance issues in managing the health sector.

This study fills a significant gap in the literature on health financing within Pakistan and proposes a unique empirical approach using WHO’s framework in a decentralized healthcare context. It also provides actionable recommendations for policymakers to develop strategies that improve the effectiveness of public financial management and health service delivery.

This study aims to develop high-performance truck trailer supports using polyamide PA6, a thermoplastic material renowned for its mechanical strength, durability and adaptability to extreme conditions. By analysing the material’s properties and exploring manufacturing methods such as injection moulding and 3D printing, the research seeks to optimise the design and production of supports capable of withstanding heavy-duty mechanical stresses. The ultimate goal is to provide the transport industry with reliable, cost-effective and durable solutions that meet safety standards and performance demands, ensuring enhanced operational efficiency and resilience in challenging environments.

The study investigates the design and production of truck trailer supports using polyamide PA6, chosen for its high mechanical strength, thermal stability, and resistance to wear and chemical exposure. The research evaluates manufacturing techniques, including injection moulding and 3D printing, to optimise part performance and durability under heavy-duty mechanical stresses. Emphasis is placed on designing supports capable of enduring harsh environmental conditions while ensuring safety and cost-efficiency. By leveraging the superior properties of PA6, the study aims to develop reliable solutions that meet the transport industry’s stringent performance and economic requirements.

The study confirms that using PA6 polyamide for truck trailer supports is an innovative and cost-effective solution, offering superior mechanical performance and environmental resistance. A detailed analysis of PA6 properties and manufacturing methods reveals its suitability as a robust and durable alternative for trailer supports. This integration marks a significant advancement in improving trailer efficiency and performance while maintaining quality standards. The findings underscore the importance of leveraging technological advancements to address challenges in innovation and sustainability, supporting the growth of the transport and logistics sector.

This study introduces an innovative approach to designing truck trailer supports by utilising polyamide PA6, highlighting its superior mechanical properties and environmental resilience. By combining material analysis with advanced manufacturing techniques, such as injection moulding and 3D printing, the research provides a novel framework for producing durable, cost-effective components tailored to the transport industry’s demands. The originality lies in the integration of PA6 into heavy-duty applications, showcasing its potential to enhance performance, efficiency and sustainability. This work adds significant value by addressing critical industry challenges and offering practical solutions that align with modern safety and environmental standards.

Women pursuing male-dominated careers face well-documented barriers to career success (e.g., stereotypes, sexual harassment, limited access to professional networks, and mentoring), which have the potential to be exacerbated or diminished by the increasing prevalence of work from home (WFH). In this chapter, the authors first review key career obstacles for women in male-dominated fields and analyse the impact of WFH on these barriers and, second, provide actionable strategies for organisations to implement WFH in a way that promotes rather than hampers the success of women in these fields. Both career obstacles and WFH remedies are considered through an overarching framework focussed on the significance of work–family boundary management, inclusion, and career advancement. Drawing on the extant research, the authors provide evidence-based, actionable guidance to help organisations and supervisors leverage WFH to support the career success of women in male-dominated careers.

The optimality objectives are the structure weight and embodied energy as well as calculating the cost and embodied carbon of the resulting optimum options. Three optimality algorithms developed in MATLAB, namely, genetic algorithms (GA), particle swarm optimisation (PSO) and harmony search algorithm (HSA), were used for structural optimisation to compare the effectiveness of the algorithms. Two life-cycle stages were considered, production and construction stages, which include three boundaries: materials, transportation and erection. In the formulation of the optimum design problem, 107 universal steel beams (UKB) and 64 columns (UKC) sections were considered for the discrete design variables. The imposed behavioural constraints in the optimum design process were set according to the provision of Eurocode 3 (EC3). The study aims to find the optimum solution of 2D steel frames whilst considering weight and embodied energy, investigate the performance of the analysis integrated with MATLAB and provide three examples to which all these are applied to.

Undoubtedly, in structural engineering, the best design of any structure aims at the most economical and environmental option, without impairing the functional and its structural integrity. In the paper, multi-objective stochastic search methods are proposed for optimum design of three two-dimensional multi-story frames.

Results showed that the optimised designs obtained by HSA are better than those found by the GA and PSO with an average difference of 16% from GA and PSO, where this difference increases at larger frame structures. It was, therefore, concluded that the integration of the analysis, design and optimisation methods employed in MATLAB can be effective in obtaining prompt optimum results during the decision-making stage.

There may be some possible limitations in the study. Due to the time constraints, only three meta-heuristic approaches were investigated, where more methods should be investigated to fully understand their effectiveness in multi-objective problems.

Investigating the performance of three optimisation methods in multi-objective problems developed in MATLAB. More importantly, developing optimisation models for evaluation of embodied energy, embodied carbon and cost for steel structures to assist designers, during the initial stages, to evaluate design decisions against their energy consumption and carbon impacts.