Now showing items 21-40 of 10797

    • The therapeutic/anti-carcinogenic effect of cord blood stem cells-derived exosomes in malignant melanoma

      Najafzadeh, Mojgan; Anderson, Diana; Isreb, Mohammad; Baumgartner, Adolf; Wright, Andrew; Naeem, Parisa (University of BradfordFaculty of Life Sciences, 2022)
      Malignant melanoma is an invasive type of skin cancer with high mortality rates, if not detected promptly. The mortality trends are generally linked to multiple dysplastic nevi, positive family history, genetic susceptibility and phenotypic features including fair skin, freckles, numerous atypical nevi, light coloured hair and eyes, inability to tan and prolonged exposure to ultraviolet radiation B (UVB). To date, the major anti-cancer therapeutics for melanoma include surgery, chemotherapy, radiotherapy, and immunotherapy. Recently, extracellular vesicles, especially exosomes, have been highlighted for their therapeutic benefits in numerous chronic diseases such as cancer. Exosomes display multifunctional properties, including inhibition of cancer cell proliferation and initiation of apoptosis. Hence, this study aimed to evaluate the genotoxicity and cytotoxicity of cord blood stem cell-derived (CBSC) exosomes on 6 samples of peripheral blood lymphocytes taken from healthy individuals and melanoma patients and on 3 samples of melanoma (CHL-1) cells. The limited number of samples was due to the time limitations and restrictions that were in place due to the COVID-19 pandemic. In this in vitro study, the optimal concentration of CBSC-derived exosomes (0, 100, 200, 300, 400 μg/ml protein at 24, 48 and 72h treatments) was confirmed by the CCK-8 assay. CBSC exosomes (300 μg/ml) were used to treat lymphocytes and CHL-1 cells in the Comet assay and evaluated using the real-time polymerase chain reaction (qPCR) and Western blotting (WB). The data of the CCK-8 and Comet assays illustrated that exosomes exerted genotoxic effects on CHL-1 cells (CCK-8 assay, ****p < 0.0001), (Comet assay, *p <0.05, **p < 0.01). However, the data portraying a reduction in the viability of lymphocytes needs further investigation as the number of samples was limited, therefore, further clarification is required. Importantly, no significant adverse effect was observed in healthy lymphocytes when treated with the same exosomes (p = ns). When further challenged with UVA+B radiation, the exosomes did not induce any genoprotective effect on ROS-induced CHL-1 cells, compared to the positive control (p = ns). Our data insinuates that the damage might be caused by inducing apoptosis. The anti-tumourigenic potential of exosomes was observed by activating the p53-mediated apoptotic pathway in CHL-1 cells, up-regulating p53, p21 and caspase 3 and down-regulating BCL-2 at mRNA (**p < 0.01, ***p <0.001, ****p <0.0001) and protein levels (*p < 0.05, **p <0.01). The potency of CBSC exosomes in inhibiting cancer progression in CHL-1 cells whilst causing no harm to the healthy lymphocytes makes it an ideal potential candidate for anti-cancer therapy. More samples are required to evaluate the therapeutic effect of exosomes on lymphocytes from cancer patients to fully understand their mechanism of action.
    • Medicines Shortages Reporting Systems (MSRS): An exploratory review of access and sustainability

      Yaroson, E.V.; Quinn, Gemma L.; Breen, Liz (ScienceDirect, 2024)
      Background: The efficacy of medicines depends on their accessibility and availability. Dedicated medicine shortage reporting systems (MSRS) have been set up in different countries, either mandatory or voluntary, following the recommendations of the World Health Organisation to ensure these. Objectives: To explore how the Medicine Shortages Reporting System (MSRS) can tackle medicine shortages through improved access and sustainability. Methods: Personnel directly involved in the reporting mechanisms for medicine shortages in eight (8) countries participated in semi-structured interviews. An interview protocol based on the Dynamic Capabilities View and Organisational Information Processing Theory (OIPT) was developed. It contained questions related to participant's views on the process involved in MSRS and how it was used to tackle shortages. Data were thematically analysed. Results: Three core elements were identified to influence MSRS's ability to tackle shortages and ensure sustainability; (1) the ability to identify what information requirements the reporting system needs, (2) identify information processing capabilities, and (3) the ability to match requirements and information processing capabilities through a dynamic capability decision-making process. The dynamic decision-making process involves reiteratively sensing shortages by understanding and validating information received. Conclusion: Building MSRS to tackle shortages for accessibility and sustainability is a systemic process that entails understanding the various elements and processes of MSRS. It includes defining medicine shortages, reconfiguring resources, defining accessibility and ensuring the system's sustainability. Our study provides insights into MSRS developed for mitigating medicine shortages and provides a framework for a sustainable MSRS. The findings extend the literature on medicine shortage management by identifying the various elements required to set up an MSRS. It also provides practical implications for countries that seek to establish MSRS to mitigate medicine shortages. Further studies could extend the number of participating countries to provide a clearer picture of the MSRS and how it can reduce medicine shortages.
    • Regional economic inequalities; migration and community response, with special reference to Yugoslavia

      Singleton, Frederick B. (1979)
      After a general introduction to the problems of regional imbalance, this paper proceeds to an analysis of the background and causes of regional economic inequalities in Yugoslavia. Demographic factors are outlined with reference to Yugoslav statistical sources, and the policies being adopted for those areas defined as being in need of special assistance are examined. The author concludes by indicating some lessons to be drawn from Yugoslavia's experience of migration and especially of its workers abroad.
    • Dear Prime Minister, Mr Musk and Mr Zuckerberg!: The challenge of social media and platformed racism in the English premier league and football league

      Hylton, K.; Kilvington, D.; Long, J.; Bond, A.; Chaudry, Izram (2024)
      This paper draws on original research from a larger study of racism and Islamophobia online around football, particularly a set of interviews with staff at English football clubs whose responsibility is to manage social media. We use that information alongside our reflections on “platformed racism” to appraise how expressions of racism on social media differ from those in and around the grounds, and how clubs and others in football contest them. This involves a consideration of three themes commonly identified by those speaking on behalf of the clubs: The triggers that ignite racist posts; the partnerships necessary to counter them; and their proposed solutions. Hence this is not just a cue for a collective wringing of hands, but an effort to point the way forward.
    • Games and Learning: Consolidating and Expanding the Potential of Analogue and Digital Games

      Pinto Neves, P.; Sousa, C.; Fonseca, M.; Rye, Sara (2023-06-19)
      For a long time, Games Research suffered from what Jaakko Stenros and Annika Waern classified as the Digital Fallacy – the tendency to regard analog games as a subset of digital games rather than the other way around. Where boardgames were once associated with the past of games and learning and digital games with the future, there are now fresh insights and applications for boardgames in learning – alongside with their renaissance as games for entertainment. Even as boardgames found new relevance in learning, the already-recognized possibilities in digital games for learning have continued to expand, with more flexible and ubiquitous tools and platforms allowing for a greater variety of avenues of learning research and practice to be explored. Augmented and mixed reality as well as virtual reality are frontiers in learning that beg for further exploration.
    • A study on big data analytics and innovation: From technological and business cycle perspectives

      Sivarajah, Uthayasankar; Kumar, S.; Kumar, V.; Chatterjee, S.; Li, Jing (Elsevier, 2024-05)
      In today’s rapidly changing business landscape, organizations increasingly invest in different technologies to enhance their innovation capabilities. Among the technological investment, a notable development is the applications of big data analytics (BDA), which plays a pivotal role in supporting firms’ decision-making processes. Big data technologies are important factors that could help both exploratory and exploitative innovation, which could affect the efforts to combat climate change and ease the shift to green energy. However, studies that comprehensively examine BDA’s impact on innovation capability and technological cycle remain scarce. This study therefore investigates the impact of BDA on innovation capability, technological cycle, and firm performance. It develops a conceptual model, validated using CB-SEM, through responses from 356 firms. It is found that both innovation capability and firm performance are significantly influenced by big data technology. This study highlights that BDA helps to address the pressing challenges of climate change mitigation and the transition to cleaner and more sustainable energy sources. However, our results are based on managerial perceptions in a single country. To enhance generalizability, future studies could employ a more objective approach and explore different contexts. Multidimensional constructs, moderating factors, and rival models could also be considered in future studies.
    • A registered report survey of open research practices in psychology departments in the UK and Ireland

      Silverstein, P.; Pennington, C.R.; Branney, Peter; O'Connor, D.; Lawlor, E.; O'Brien, E.; Lynott, D. (Wiley, 2024)
      Open research practices seek to enhance the transparency and reproducibility of research. Whilst there is evidence of increased uptake in these practices, such as study preregistration and open data, facilitated by new infrastructure and policies, little research has assessed general uptake of such practices across psychology university researchers. The current study estimates psychologists’ level of engagement in open research practices across universities in the United Kingdom and Ireland, while also assessing possible explanatory factors that may impact their engagement. Data were collected from 602 psychology researchers in the UK and Ireland on the extent to which they have implemented various practices (e.g., use of preprints, preregistration, open data, open materials). Here we present the summarised descriptive results, as well as considering differences between various categories of researcher (e.g., career stage, subdiscipline, methodology), and examining the relationship between researcher’s practices and their self-reported capability, opportunity, and motivation (COM-B) to engage in open research practices. Results show that while there is considerable variability in engagement of open research practices, differences across career stage and subdiscipline of psychology are small by comparison. We observed consistent differences according to respondent’s research methodology and based on the presence of institutional support for open research. COM-B dimensions were collectively significant predictors of engagement in open research, with automatic motivation emerging as a consistently strong predictor. We discuss these findings, outline some of the challenges experienced in this study, and offer suggestions and recommendations for future research. Estimating the prevalence of responsible research practices is important to assess sustained behaviour change in research reform, tailor educational training initiatives, and to understand potential factors that might impact engagement.
    • Fabrication Characterisation and Optimisation of Electrospun Scaffolds for Ligament Tissue Reconstruction. The Development of an Anterior Cruciate Ligament (ACL) Analogue using Electrospun PCL, PVA Hydrogel and Polyester Sutures

      Sefat, Farshid; Twigg, Peter C.; Agbabiaka, Oluwadamilola A. (University of BradfordSchool of Biomedical and Electronics Engineering. Faculty of Engineering and Informatics, 2022)
      Year 2019, football, rugby, netball and skiing had most occurring ACL injuries, listed by United Kingdom National Ligament Report (NLR). The standard procedure treatment of complete laceration of the ACL, is performed by tissue autograft implantation designed from a patellar tendon, for replacement of damaged tissue using orthopaedic surgery. The aim of this thesis is to design and fabricate an ACL graft, attempting to mimic the natural ACL, for the purpose of tissue reconstruction. The desired graft analogues exhibited properties imitating native connective tissue, reducing pain through drug delivery with great biocompatibility and enhance suture mechanical strength. Various biomaterials were implemented into this study, utilising strategies; polymer solution fabrication, electrospinning, hydrogel synthesis, mechanical braiding and graft assembly to fabricate an ACL graft. The polymeric material poly (E- caprolactone) (PCL) was researched, utilising its ability to fabricate scaffolds. Results showed, three analogue ACL grafts (Braided PCL-BP, Braided PCL + Hydrogel-BPH & Braided PCL + Sutures-BPS) created utilising the properties of braiding, hydrogels and sutures, ultimately improving the versatility of electrospinning for tissue engineering and reconstruction. Graft analogues were tested and compared against patellar tendons producing similar tensile properties. Poly vinyl alcohol (PVA) hydrogels successfully held ibuprofen, revealing drug delivery characteristics, polyester threads improved mechanical properties of electrospun grafts and dry degradation showed that PCL did not lose significant mass over two months. Conclusion, tensile strength of patella tendon was 395x, 790x & 56x of analogue grafts (BP, BPH & BPS) respectively, having potential for improvement of tensile parameters for ligament reconstruction.
    • The Use of MM/QM calculations of 13C chemical shifts in the analysis of Edaravone tautomers

      Abraham, R.J.; Cooper, M.A.; Aghamohammadi, Amin; Afarinkia, Kamyar; Liu, Xiangli (2022-09)
      The 13C NMR chemical shifts of the three Edaravone tautomers (keto, enol, and amine) were calculated using a combined molecular mechanics (Pcmod 9.1/MMFF94) and ab initio (GIAO (B3LYP/DFT, 6–31 + G(d)) model. This method gave such good agreement with experiment that the assignment of the complex spectrum of Edaravone in solution, which is a mixture of the three tautomers could be made. This has been attempted previously by various methods with diverse results. In CDCl3 solution, the observed spectra show only one form, the keto tautomer, and this is also the case with acetonitrile solvent. Acetone solvent reacts with Edavarone in the NMR tube. In the other solvents studied, methanol, pyridine, DMSO, trifluoroethanol (TFE), there is a mixture of the tautomers with populations which vary with the solvent. The application of the shift predictions allows the assignment of the 13C spectra to the three tautomers and from this the proportions of the tautomers in the solution. The results at times differ significantly from previous studies, and this is discussed.
    • Sparse Representation and its Application to Multivariate Time Series Classification

      Lei, Ci; Neagu, Daniel; Sani, Habiba M. (University of BradfordDepartment of Computer Science. Faculty of Engineering and Informatics, 2022)
      In signal processing field, there are various measures that can be employed to analyse and represent the signal in order to obtain meaningful outcome. Sparse representation (SR) has continued to receive great attention as one of the well-known tools in statistical theory which among others, is used to extract specific latent temporal features that can reveal salient primitive and sparsely represented features of complex data signals, including temporal data analysis. Under reasonable conditions, many signals are assumed to be sparse within a domain, such as spatial, time, or timefrequency domain, and this sparse characteristics of such signals can be obtained through the SR. The ECG signal, for instance, is typically a temporal sparse signal, comprises of various periodic activities such as time delay and frequency amplitudes, plus additive noise and possible interference. Particularly challenging in signal processing, especially time series signals is how to reconstruct and extract the various features that characterized the signal. Many problems (e.g., signal components analysis, feature extraction/selection in signals, signal reconstruction, and classification) can be formulated as linear models and solved using the SR technique The reconstruction of signals through SR can offer a rich representation of the sparsified temporal structure of the original signal. Due to its numerous advantages, such as noise tolerance and widespread use in various signal processing tasks, this has motivated many researchers to adopt the use of this technique for various signal representation analysis for a better and richer representation of the original input signal. In line with this, therefore, the goal of this study is to propose a SR-based mathematical framework and a coherence function for reconstruction and feature extraction from signals for subsequent analysis. The time embedding principle was first applied to restructure the signal into tine delay vectors and then the proposed approach, referred to as temporal subsequence SR approach was used to reconstruct the noisy signals and provides a sparsified time dependent input signal representation, and then the coherence function is further used to compute and extract the correlational coefficient quantities between the temporal subsequence signals to form the final feature vectors representing the discriminative features for each of the signal. These final feature vectors representing the signal are further used as inputs to machine learning classifiers. Experiments are carried out to illustrate the usefulness of the proposed methods and to assess their impact on the classification performance of the SVM and MLP classifiers using the popular and widely used ECG time series benchmark dataset. This research study supports the general hypothesis that, signal reconstruction methods (datadriven approach) can be valuable in learning compact features from the original signals for classifications.
    • Evaluating team-based learning in a foundation training pathway for trainee pharmacists

      Medlinskiene, Kristina; Hill, Suzanne E.; Tweddell, Simon; Quinn, Gemma L. (2024)
      A new programme incorporating online study days delivered using team-based learning (TBL) for hospital-based trainee pharmacists (TPs) in the North of England was created. To our knowledge, TBL has not previously been used in educational programmes for TPs designed to supplement their workplace learning. The project aimed to investigate the experiences of TPs learning using online TBL by exploring their perceptions on their engagement, learning, and satisfaction with TBL. Data were collected using online anonymous surveys at the end of four online TBL study days. A bespoke survey consisted of 5-point or 4-point Likert scale and two free text questions. TBL Student Assessment Instrument (SAI), a validated survey, was used to assess TPs' acceptance of TBL. Survey data was summarized descriptively, and free text comments analysed using thematic analysis. TPs developed accountability to their team, remained engaged with TBL delivery online and stated a preference for and satisfaction with this method. TPs valued opportunities to apply their knowledge in challenging scenarios and learn from discussions with their peers, the larger group, and facilitators. TBL was also perceived to be an engaging approach to learning and helped to maintain their interest with the teaching material. However, TPs struggled to engage with pre-work outside of the class due to competing work priorities. This study shows that online TBL was well accepted by TPs and can be successfully used to deliver education to large cohorts of learners. The model developed shows potential for scalability to larger numbers of learners.
    • Financial capacity and sustainable procurement: the mediating effects of sustainability leadership and socially responsible human resource capability

      Etse, D.; McMurray, A.; Muenjohn, Nuttawuth (SpringerLink, 2024)
      This study examines the effects of organizational financial capacity on sustainable procurement and the extent to which socially responsible human resource capability and sustainability leadership mediate this relationship. Data obtained from 322 organizations through quantitative surveys were analyzed using structural equation modeling. The results suggest the following: financial capacity has a significant positive effect on sustainable procurement; financial capacity has a significantly positive effect on socially responsible human resource capability; sustainability leadership and socially responsible human resource capability mediate the positive effect of financial capacity on sustainable procurement. The research contributes to the literature a perspective on the mechanisms through which organizational financial capacity influences sustainable procurement via socially responsible human resource capability and sustainability leadership. The insights provided will inform management decisions and actions regarding how organizational finance can be leveraged strategically to optimize sustainable corporate practices and outcomes.
    • Fostering a safe workplace: the transformative impact of responsible leadership and employee-oriented HRM

      Bashir, H.; Memon, M.A.; Muenjohn, Nuttawuth (Emerald Group Publishing, 2024)
      Purpose- Promoting a safe workplace for everyone is a key tenet of Sustainable Development Goal 8 (SDG-8), which focuses on promoting inclusive and sustainable economic growth, employment, and decent work for all. Therefore, this study explores how responsible leadership ensures a psychologically safe workplace for everyone, leveraging employee-oriented human resource management. Specifically, drawing on signalling theory, this study aims to examine the impact of responsible leadership on employee-oriented HRM and the subsequent effect of employee-oriented HRM on employees' psychological safety. Furthermore, it investigates the mediating role of employee-oriented HRM in the relationship between responsible leadership and psychological safety. Design/methodology/approach- Data was collected from banking professionals through a survey questionnaire. A total of 270 samples were collected using both online and face-to-face data collection strategies. The data was analysed using the Partial Least Squares Structural Equation Modelling (PLS-SEM) approach. Findings- The findings reveal that responsible leadership significantly ensures employee-oriented HRM, which subsequently enhances employees' psychological safety. Further, the results suggest that employee-oriented HRM acts as a mediator between responsible leadership and psychological safety. Originality/value- Past studies have often emphasized HRM practices as antecedents of various attitudes and behaviours. The present study offers a novel contribution by conceptualizing and empirically validating employee-oriented HRM as a mechanism that links responsible leadership and psychological safety. It stands as the first of its kind to establish this significant relationship, shedding new light on the dynamics between responsible leadership, HRM practices, and employees' sense of psychological safety.
    • MaDDOSY (Mass Determination Diffusion Ordered Spectroscopy) using an 80 MHz bench top NMR for the rapid determination of polymer and macromolecular molecular weight

      Tooley, O.; Pointer, W.; Radmall, R.; Hall, M.; Beyer, V.; Stakem, K.; Swift, Thomas; Town, J.; Junkers, T.; Wilson, P.; et al. (2024)
      Measurement of molecular weight is an integral part of macromolecular and polymer characterization which usually has limitations. Herein, we present the use of a bench-top 80 MHz NMR spectrometer for diffusion-ordered spectroscopy as a practical and rapid approach for the determination of molecular weight/size using a novel solvent and polymer-independent universal calibration.
    • Actioning sustainability through tourism entrepreneurship: Women entrepreneurs as change agents navigating through the field of stakeholders

      Karatas-Ozkan, M.; Tunalioglu, R.; Ibrahim, S.; Ozeren, E.; Grinevich, Vadim; Kimaro, J. (Emerald, 2024)
      Purpose: Sustainability is viewed as an encompassing perspective, as endorsed by the international policy context, driven by the UN’s Sustainable Development Goals (SDGs). We aim to examine how women entrepreneurs transform capitals to pursue sustainability, and to generate policy insights for sustainability actions through tourism entrepreneurship. Design/methodology/approach: Applying qualitative approach, we have generated empirical evidence drawing on 37 qualitative interviews carried out in Turkey, whereby boundaries between traditional patriarchal forces and progressive movements in gender relations are blurred. Findings: We have generated insights into how women entrepreneurs develop their sustainability practice by transforming their available economic, cultural, social and symbolic capitals in interpreting the macro-field and by developing navigation strategies to pursue sustainability. This transformative process demonstrates how gender roles were performed and negotiated in serving for sustainability pillars. Research limitations/implications: In this paper, we demonstrate the nature and instrumentality of sustainable tourism entrepreneurship through a gender lens in addressing some of these SDG-driven challenges. Originality/value: We advance the scholarly and policy debates by bringing gender issues to the forefront, discussing sustainable tourism initiatives from the viewpoint of entrepreneurs and various members of local community and stakeholder in a developing country context where women’s solidarity becomes crucial.
    • Analysing product attributes of refurbished laptops based on customer reviews and ratings: machine learning approach to circular consumption

      Ghosh, A.; Pathak, D.; Bhola, P.; Bhattacharjee, D.; Sivarajah, Uthayasankar (2023)
      Reviews and ratings of consumers towards a product impact consumer decision-making and their perceptions. Such information is key in measuring consumer satisfaction and net promoter scores. However, when the reviewed products are refurbished, consumer reviews become more important because information influences consumer behaviour and attitude toward looped products. This research explores the decision-influencing attributes of consumers while purchasing refurbished goods using quantitative and qualitative methods. Online after-sales 1986 laptop customers’ review and rating data in the public domain were analysed to reveal the decision-influencing attributes and their impact on potential consumers. The study envisions assisting the operations of sellers in the refurbished market by strengthening their businesses' value proposition and stimulating reverse logistics entrepreneurs to use the opportunity. Review data containing lifecycle valuation of old laptops induced feature extraction by machine learning applications. It is beneficial to sellers in the refurbished product segment. It provides information to strengthen their value proposition and is informative to entrepreneurs wanting to enter the segment. Based on the text analysis of consumer reviews, the study's results show that price, brand, design, performance, services, and utility influence consumers. The frequency analysis technique was used to extract attributes, followed by content analysis and feature selection using SHapley Additive exPlanations (SHAP) for exploring correlations between features and star ratings. Lastly, multinomial logistic regression was used to validate the generated model. The results show that brand, design, price, and utility are the most prominent attributes influencing consumers' decision-making with positive sentiments. In contrast, performance and services often generate neutral and negative sentiments.
    • Towards the development of an integrated case-finding tool to facilitate the review of anticholinergic prescribing for frail older people

      Petty, Duncan R.; Faisal, Muhammad; Johnson, O.A.; Gardner, Peter H.; Mehdizadeh, David (University of BradfordSchool of Pharmacy and Medical Sciences. Faculty of Life Sciences, 2022)
      Background: The cumulative effect of taking anticholinergic medicines (anticholinergic burden) is associated with adverse outcomes for older people. Prevalence of anticholinergic prescribing is increasing, and there is a need for tools to proactively identify at-risk patients for medication reviews. Aim: To explore the need for, and feasibility of, an integrated case-finding tool that predicts risks using electronic health records (EHRs), facilitating the review of anticholinergic medicines for frail older people. Methods: Mixed methods, adopting a pragmatic approach. A systematic review, prediction modelling of cohort study data, and qualitative interviews were undertaken. Results: The systematic review found anticholinergic exposure was associated with adverse outcomes for the frail; poorer physical function, falls, and mortality, indicating a need for a risk reducing intervention. In the prediction modelling study, predicting risks using composite measures of anticholinergic burden and frailty indicated limited feasibility. Neither enhanced the performance of best subset models using cohort study data. Their predictive utility needs to be investigated using EHR data, to determine their feasibility within primary care. The qualitative study found healthcare professionals needed a proactive tool, supporting risk prediction as a feasible approach. Factors influencing future implementation were; upskilling requirements, deprescribing confidence, patient reluctance, motivation, holistic care, interoperability, trust in risk prediction, remuneration, among other barriers and facilitators. Conclusions: Through identifying a need, and potential feasibility, foundations towards the future developments of a case-finding tool have been provided, informing an early tool prototype (AC-FRAIL). Recommendations for further work suggest a roadmap ahead, to maximise the potential for integrated solutions to proactively reduce anticholinergic risks.
    • The effect of corporate ethical responsibility on social and environmental performance: An empirical study

      Bag, S.; Srivastava, G.; Gupta, S.; Sivarajah, Uthayasankar; Wilmot, N.V. (2024-02)
      In the field of business-to-business marketing, corporate ethical identity and corporate brand identity are crucial subjects for discussion. Business organizations function under social norms, and to establish an ethical identity, they must show corporate ethical responsibility, embrace ethical standards, and maintain open communication with suppliers. While an organization's reputation is impacted by the absence of an ethical identity, its financial success is unaffected. Extant literature has not thrown a spotlight on social and environmental performance which indicates that less focus has been given by academics than by practitioners. To fill the lacuna in the existing literature, this study examines the relationships between corporate ethical identity, corporate brand identity, social and environmental performance. The study uses a deductive research approach and develops hypotheses which are further tested using variance based structural equation modeling. The study offers a distinctive contribution to ethics theory and stakeholder theory by showing that developing an ethical identity requires more than just adhering to moral guidelines and upholding open communication. Companies must show that they are ethically responsible towards society. The study provides evidence of the influence corporate brand identity has on environmental and social performance. The findings can be useful in developing business-to-business marketing strategies.
    • Distribution and discovery of oceanic natural gas hydrates

      Porgar, S.; Rahmanian, Nejat (Elsevier, 2024-02)
      A crystalline solid called a gas hydrate has gas molecules surrounded by water molecules. There are several gases with suitable structures for the production of hydrates, but methane-rich gas hydrates are more common and form in seas and on the ocean. The place of hydrates formation is usually the sediment of the ocean floor and the polar regions, which largely covered with ice. It is also found in large quantities in combination with ambient ice in the ever-frozen polar regions. The importance of gas hydrates is due to the great ability of gas hydrates in natural gas storage, which makes it attractive to use them for the purposes of storing and transporting natural gas and other gases as a competitor to liquefaction and condensing methods. Due to the significance potential of these reserves as the world's future energy supplier and their direct impact on changes in climate conditions due to the greenhouse effect of methane, as well as their geological risks during water hydrocarbon discoveries, marine science researchers have been studying them over the past few years. Acoustic and seismic methods are helpful instruments for measuring subterranean hydrated reserves because there is not the technology to measure hydrated reserves directly.
    • Ethical and quality of care-related challenges of digital health twins in older care settings: Protocol for a scoping review

      Jabin, Md Shafiqur Rahman; Yaroson, E.V.; Ilodibe, A.; Eldabi, Tillal (2024-02)
      Digital health twins (DHTs) have been evolving with their diverse applications in medicine, specifically in older care settings, with the increasing demands of older adults. DHTs have already contributed to improving the quality of dementia and trauma care, cardiac treatment, and health care services for older individuals. Despite its many benefits, the optimum implementation of DHTs has faced several challenges associated with ethical issues, quality of care, management and leadership, and design considerations in older care settings. Since the need for such care is continuously rising and there is evident potential for DHTs to meet those needs, this review aims to map key concepts to address the gaps in the research knowledge to improve DHT implementation. The review aims to compile and synthesize the best available evidence regarding the problems encountered by older adults and care providers associated with the application of DHTs. The synthesis will collate the evidence of the issues associated with quality of care, the ethical implications of DHTs, and the strategies undertaken to overcome those challenges in older care settings. The review will follow the Joanna Briggs Institute (JBI) methodology. The published studies will be searched through CINAHL, MEDLINE, JBI, and Web of Science, and the unpublished studies through Mednar, Trove, OCLC WorldCat, and Dissertations and Theses. Studies published in English from 2002 will be considered. This review will include studies of older individuals (aged 65 years or older) undergoing care delivery associated with DHTs and their respective care providers. The concept will include the application of the technology, and the context will involve studies based on the older care setting. A broad scope of evidence, including quantitative, qualitative, text and opinion studies, will be considered. A total of 2 independent reviewers will screen the titles and abstracts and then review the full text. Data will be extracted from the included studies using a data extraction tool developed for this study. The results will be presented in a PRISMA-ScR (Preferred Reporting Items for Systematic Review and Meta-Analysis extension for Scoping Reviews) flow diagram. A draft charting table will be developed as a data extraction tool. The results will be presented as a "map" of the data in a logical, diagrammatic, or tabular form in a descriptive format. The evidence synthesis is expected to uncover the shreds of evidence required to address the ethical and care quality-related challenges associated with applying DHTs. A synthesis of various strategies used to overcome identified challenges will provide more prospects for adopting them elsewhere and create a resource allocation model for older individuals. DERR1-10.2196/51153.