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Protein-energy wasting is a common complication among patients with kidney failure undergoing dialysis. This study aims to develop a homemade oral nutrition supplement (ONS) to fulfill the energy and protein requirements of these patients.

Three formulations of homemade ONS were developed using soybean milk, whey protein isolates and canola oil. Two of these formulations were flavored with pineapple and honeydew juices, respectively. The energy and macronutrient contents were determined using proximate analyses, and mineral contents were determined using inductively coupled plasma optical emission spectroscopy. The acceptance of homemade ONS for five attributes, namely color, taste, odor, consistency and overall acceptability, was assessed using the nine-point hedonic scale.

The homemade ONS provided 198–212 kcal and 8.4–9.6 g protein per 100 mL, which were comparable to commercial products. Similarly, the sodium (45–65 mg/100 mL) and phosphorus (56–66 mg/100 mL) contents were on par with commercial products. However, the potassium content of homemade ONS was higher, ranging from 141 to 155 mg per 100 mL. The sensory evaluation indicated that the formulation added with honeydew juice had a similar degree of acceptance as the commercial ONS, while formulations containing pineapple juice and without added fruit juice were less favored.

A few studies have investigated the development of food products for individuals with kidney failure on dialysis. However, to the best of the authors’ knowledge, this is the first study to focus on developing a homemade ONS specifically tailored to meet the unique nutritional needs of hemodialysis patients. In addition, this research included a comprehensive assessment of the beverage’s nutritional content and sensory attributes.

This paper examines the influence of consumers’ moral intensity, perceived risks and moral judgment on their purchase intention of pirated software. The aspects of moral intensity include magnitude of consequence, social consensus, probability of effect and temporal immediacy. The perceived risks of consumers are related to financial, performance, prosecution and social risks. Moral judgment is based on cognitive moral development and reasoning. Ten hypotheses were developed and tested with data collected using a scenario‐based questionnaire. A hierarchical regression analysis is used to control for variations that are attributed to factors such as gender, age, educational attainment, income, price levels and past software experience of consumers. Results revealed that consumer purchase intention is influenced by certain aspects of their perceived moral intensity, magnitude of consequence, temporal immediacy and social consensus; perceived risks, financial, prosecution and social; and moral judgment, cognitive moral development and moral reasoning. Applicability and implication of the findings as well as suggestions for further research are discussed.

The purpose of this paper is concerned with developing a (2 + 1)-dimensional Benjamin–Ono equation. The study shows that multiple soliton solutions exist and multiple complex soliton solutions exist for this equation.

The proposed model has been handled by using the Hirota’s method. Other techniques were used to obtain traveling wave solutions.

The examined extension of the Benjamin–Ono model features interesting results in propagation of waves and fluid flow.

The paper presents a new efficient algorithm for constructing extended models which give a variety of multiple soliton solutions.

This work is entirely new and provides new findings, where although the new model gives multiple soliton solutions, it is nonintegrable.

The work develops two complete sets of multiple soliton solutions, the first set is real solitons, whereas the second set is complex solitons.

Social commerce (SC) is a new genre in electronic commerce (e-commerce) that has great potential. This study proposes a new research framework to address deficiencies in existing social commerce research frameworks (e.g. the information model).

In the era of Industrial Revolution 4.0 technologies and new social commerce (s-commerce) models, the authors believe that there is an immediate need for a new research framework. The authors analysed the progress of the s-commerce paradigm between 2003 and 2023 by applying longitudinal science mapping. The authors then developed a research framework based on the themes in the strategic diagrams and evolution map.

From 2003 to 2010, studies on s-commerce mainly focused on social networking sites, virtual communities, social shopping and analytic approaches. From 2011 to 2015, it shifted to s-commerce, consumer behaviour, Web 2.0, artificial intelligence, social technologies, online shopping, user studies, data gathering methods, applications, service-based social commerce constructs, e-commerce and cognitive factors. Social commerce remained the primary research paradigm from 2017 to 2023.

The SC framework may be analogous to popular research frameworks such as technology-organisation-environment (T-O-E) and stimulus-organism-response (S-O-R). Based on this SC framework, researchers may gain a better understanding by determining the factors of the social, commercial, technological and behavioural dimensions.

The authors redefined s-commerce and developed an SC framework. Practical guidelines for the SC framework and an exemplary research model are presented. Overall, this study offers a new research agenda for the extant understanding of s-commerce, with the SC framework as the next frontier of the theoretical advancements and applications of s-commerce.

This study aims to deal with the large eddy simulation (LES) of an ignition sequence and the resulting steady combustion in a swirl-stabilized liquid-fueled combustor. Particular attention is paid to the ease of handling the numerical tool, the accuracy of the results and the reasonable computational cost involved. The primary aim of the study is to appraise the ability of the newly developed computational fluid dynamics (CFD) methodology to retrieve the spark-based flame kernel initiation, its propagation until the full ignition of the combustion chamber, the flame stabilization and the combustion processes governing the steady combustion regime.

The CFD model consists of an LES-based spray module coupled to a subgrid-scale ignition model to capture the flame kernel initiation and the early stage of the flame kernel growth, and a combustion model based on the mixture fraction-progress variable formulation in the line of the flamelet generated manifold (FGM) method to retrieve the subsequent flame propagation and combustion properties. The LES-spray module is based on an Eulerian-Lagrangian approach and includes a fully two-way coupling at each time step to account for the interactions between the liquid and the gaseous phases. The Wall-Adapting Local Eddy-viscosity (WALE) model is used for the flow field while the eddy diffusivity model is used for the scalar fluxes. The fuel is liquid kerosene, injected in the form of a polydisperse spray of droplets. The spray dynamics are tracked using the Lagrangian procedure, and the phase transition of droplets is calculated using a non-equilibrium evaporation model. The oxidation mechanism of the Jet A-1 surrogate is described through a reduced reaction mechanism derived from a detailed mechanism using a species sensitivity method.

By comparing the numerical results with a set of published data for a swirl-stabilized spray flame, the proposed CFD methodology is found capable of capturing the whole spark-based ignition sequence in a liquid-fueled combustion chamber and the main flame characteristics in the steady combustion regime with reasonable computing costs.

The proposed CFD methodology simulates the whole ignition sequence, namely, the flame kernel initiation, its propagation to fully ignite the combustion chamber, and the global flame stabilization. Due to the lack of experimental ignition data on this liquid-fueled configuration, the ability of the proposed CFD methodology to accurately predict ignition timing was not quantitatively assessed. It would, therefore, be interesting to apply this CFD methodology to other configurations that have experimental ignition data, to quantitatively assess its ability to predict the ignition timing and the flame characteristics during the ignition sequence. Such further investigations will not only provide further validation of the proposed methodology but also will potentially identify its shortfalls for better improvement.

This CFD methodology is developed by customizing a commercial CFD code widely used in the industry. It is, therefore, directly applicable to practical configurations, and provides not only a relatively straightforward approach to predict an ignition sequence in liquid-fueled combustion chambers but also a robust way to predict the flame characteristics in the steady combustion regime as significant improvements are noticed on the prediction of slow species.

The incorporation of the subgrid ignition model paired with a combustion model based on tabulated chemistry allows reducing computational costs involved in the simulation of the ignition phase. The incorporation of the FGM-based tabulated chemistry provides a drastic reduction of computing resources with reasonable accuracy. The CFD methodology is developed using the platform of a commercial CFD code widely used in the industry for relatively straightforward applicability.

In Cameroon's blood banks, the shortage of blood bags is difficult to overcome because of the lack of donor loyalty and the complexity of recruiting new donors. This study explores the possibility of retaining donors and turning them into prospectors by analysing their satisfaction.

A Servqual questionnaire was administered to a sample of 109 donors obtained by voluntary sampling. We used customer satisfaction to determine the satisfaction score and the tetraclass model to analyse the contribution of the elements to satisfaction.

Our results show that the blood donor satisfaction score is low (60.33%) compared with the norm (80%). The post-donation follow-up stage is the factor with the greatest influence on improving blood donor satisfaction. The elements that require particular attention in the supervision of blood donors are the snacking and blood-taking stages, because they have a strong capacity to worsen donor satisfaction when they are badly perceived by donors.

The study focuses on aspects specific to the Cameroonian situation and sheds a unique light on blood donor satisfaction in this context, while offering a general understanding of this issue on an international scale.

This paper aims to empirically examine the link between negative social media sentiments (SMS) and firm risk, measured by total risk.

This paper collected data from Fortune 500 companies in the USA from 2010 to 2017. The analyses used the pooled ordinary least squares, Fama–McBeth regression, fixed-effects regression and propensity score matching.

The results show that negative SMS increase firm risk. In addition, this paper considers the effect of corporate social responsibility (CSR) disclosures on the relationship between negative SMS and firm risk. This paper finds that the effects of negative SMS on firm risk are attenuated in firms with better CSR disclosures.

This study offers fresh perspectives for investors and managers on firm risk and the influence of social media on firm outcomes, providing valuable insights for scholars and practitioners to understand the impact of negative social media sentiments on firm risk, along with the crucial roles played by CSR in this relationship.

This study empirically examines the effect of supply chain integration (SCI) on financial performance (FP) and controls for the mediating effects of supply chain agility (SCA), supply chain (SC) innovation and operational performance (OP).

Through a causal research design, structured questionnaires were used for primary data collection from 217 commercial poultry farms (CPFs) operating in the Bono Region of Ghana. Structural equation modeling was reflectively configured to test the formulated hypotheses.

SCI causes a statistically significant moderate positive variance in OP in terms of cost-effectiveness, order fulfillment rate, operating cycle, inventory turns, business process innovation. SCI is an insignificant weak positive predictor of FP (growth in revenue, profit, return on investment, sales growth) of CPFs operating in Ghana. Furthermore, OP significantly and positively mediates the predictive relationship between SCI and FP. Again, SC innovation significantly mediates the predictive relationship between SCI and OP. However, SCA fails to significantly mediate the predictive relationship between SCI and OP.

Focal firms' characteristics were ignored, although they may determine how SCI affects OP and FP in the presence of SCA and SC innovation.

Empirically, SCI has no direct impact on FP of CPFs but does so indirectly through the mediating role of OP.

The number of entrepreneurial start-ups operating in developing countries has grown tremendously in recent years. However, research suggests that most start-ups in developing countries fail shortly after becoming operational. The purpose of this paper explores how supply chain management (SCM) practices may enhance the performance of start-ups in developing countries.

The study develops and empirically tests a research model which explores the effect of SCM practices on customer development and start-up performance. A survey of 300 start-ups operating in Ghana was conducted, with 72 usable responses obtained. The research model was analyzed using partial least squares structural equation modeling.

The results confirmed the positive impact of SCM practices on customer development and start-up performance. Customer development was also found to positively impact start-up performance. Additionally, a partial mediation role of customer development on relationship between SCM practices and start-up performance was observed.

To the best of the researchers’ knowledge, this is the first study that empirically explores the effects of SCM practices on the performance of start-ups. This is also the first study that examines the effect of SCM practices on customer development to the best of the researchers’ knowledge.

This paper aims to examine the interaction effect of regulations (monetary and macro-prudential) in explaining the possible non-linear effect of bank risk exposures (credit risk and insolvency risk) on banking stability in Africa.

The study uses a two-step system generalized method of moments (GMM) estimator for a data set of banks across 54 African countries over the period 2006–2020.

The authors find that the relationships between bank credit risk–bank stability and bank insolvency risk–bank stability are non-linear and characterized by the presence of optimal thresholds, which are 5.3456 for credit risk and 2.3643 for insolvency. Contrary to their positive effects below these optimal thresholds, credit risk and insolvency risk become negatively linked to bank stability in Africa. The authors find that macro-prudential action and monetary policy both have a positive and significant relationship with bank stability. The authors provide evidence to support that the marginal effect of excessive credit risk and insolvency risk on bank stability is reduced when interacted with monetary and macro-prudential regulations, and the impact is significant in strong institutional environment.

Future research should extend data to include developing and emerging economies in the world. Also, policymakers, researchers and practitioners should consider different regulatory and institutional frameworks in explaining the relationship between the thresholds of bank risk exposures and bank stability in the world.

Regulatory authorities should have to deeply reform their financial systems, develop risk-based regulatory framework and effective supervision mechanism relating to appropriate techniques that maintain an optimal and desired level of bank risks and risk-taking behaviours required to ensure a stable banking system.

To the best of the authors’ knowledge, this is the first study to examine how different regulatory frameworks shape the non-linear impact of bank risk exposures on bank stability in Africa.