Commercial Stakeholders Research Articles

Emotional AI in education and toys: Investigating moral risk awareness in the acceptance of AI technologies from a cross-sectional survey of the Japanese population

Emotional artificial intelligence (AI), i.e., affective computing technologies, is rapidly reshaping the education of young minds worldwide. In Japan, government and commercial stakeholders are promulgating emotional AI not only as a neoliberal, cost-saving benefit but also as a heuristic that can improve the learning experience at home and in the classroom. Nevertheless, critics warn of a myriad of risks and harms posed by the technology such as privacy violation, unresolved deeper cultural and systemic issues, machinic parentalism as well as the danger of imposing attitudinal conformity. This study brings together the Technological Acceptance Model and Moral Foundation Theory to examine the cultural construal of risks and rewards regarding the application of emotional AI technologies. It explores Japanese citizens’ perceptions of emotional AI in education and children's toys via analysis of a final sample of 2000 Japanese respondents with five age groups (20s–60s) and two sexes equally represented. The linear regression models for determinants of attitude toward emotional AI in education and in toys account for 44 % and 38 % variation in the data, respectively. The analyses reveal a significant negative correlation between attitudes toward emotional AI in both schools and toys and concerns about privacy violations or the dystopian nature of constantly monitoring of children and students’ emotions with AI (Education: βDystopianConcern = − .094***; Toys: βPrivacyConcern = − .199***). However, worries about autonomy and bias show mixed results, which hints at certain cultural nuances of values in a Japanese context and how new the technologies are. Concurring with the empirical literature on the Moral Foundation Theory, the chi-square (Χ2) test shows Japanese female respondents express more fear regarding the potential harms of emotional AI technologies for the youth's privacy, autonomy, data misuse, and fairness (p < 0.001). The policy implications of these results and insights on the impacts of emotional AI for the future of human-machine interaction are also provided.

Better social infrastructure matters: Impacts of perceptional and behavioral smartization on food-related household emissions and wastes

Japan has been implementing policies to reduce greenhouse gas emissions (NDC goal) and food-related wastes (Food Recycling Act). However, these policies were mainly targeting commercial stakeholders instead of households. In this paper, we proposed a smart food transition framework with multiple dimensions, conducted a large sample size survey (5500 households in Japan) with consumer attitudes towards smart food services and smart eating habits, and investigated what may affect food-related household greenhouse gas emissions and food waste through a detailed assessment of both direct and indirect emissions. We found that, in the context of a better social infrastructure (e.g., better telecommunications infrastructure or higher penetration of SNS) where households can have a higher level of welfare and better access to smart food services, additional food waste would be generated, but not necessarily food-related greenhouse gas emissions. This is possible to be improved by perceptional changes and behavioral changes (e.g., more tolerance of using commercially prepared dishes, more willingness to use inventory management APPs). Our paper emphasized the importance of appropriate guidance in such perceptional changes and behavioral changes, together with detailed directions, for more decent household lives in the future of Japan.

Keeping the Port of Tema afloat during COVID-19: Media responses to user informational and conversational needs

Two different media platforms played a key role in keeping Tema Port in Ghana afloat during the period immediately leading up to and during the three-week COVID-19 pandemic-related lockdown in late March–April of 2020. The one media platform, Eye on Port, is a weekly broadcast television show by the port’s authorities, which caters primarily to external commercial stakeholders of the port. The other platform is a closed WhatsApp forum used by stakeholders working at the operational level of the port. Both platforms served specific needs among their users, who had been restricted in their mobility but had to keep the port operational. Combining ‘scalable sociality’ with the concept of polymedia, we identify how the two media functioned to meet the different informational and conversational needs of their respective users. We argue that either medium alone could not fulfil the communicative needs necessary to keep the port operational during the early stage of the COVID-19 pandemic.

Retailer perspectives reveal knowledge gaps in the traceability of the scleractinian coral trade in Singapore

Scleractinian corals are key reef-builders in tropical marine ecosystems. Harvests of wild stocks for the global marine aquarium trade have raised concerns about unsustainable exploitation. While it is important to ensure that marine ornamental species are used legally and sustainably, it is challenging to trace them through the trade due to the fragmented and complex supply chain. Retailers can provide unique perspectives to narrow knowledge gaps as they interact closely with both suppliers and consumers. Through semi-structured interviews of retailers based in Singapore, we investigated their knowledge of the supply chain, trade practices, and consumer preferences. We also surveyed taxa available for sale at these brick-and-mortar aquarium shops. Our study revealed at least 42 genera from 14 families of scleractinian corals present across 20 shops in Singapore. Retailers displayed a lack of familiarity in coral provenance and trade regulations, suggesting that they have limited awareness of traceability along the supply chain. Import decisions were not guided by traceability and environmental sustainability, but instead were driven by demand and supply factors such as aesthetics, rarity, and availability. This underscores the need for more outreach and engagement efforts to raise awareness among commercial stakeholders towards improving traceability and sustainable management in the marine aquarium industry.

Democratizing digital microfluidics by a cloud-based design and manufacturing platform.

Akin to the impact that digital microelectronics had on electronic devices for information technology, digital microfluidics (DMF) was anticipated to transform fluidic devices for lab-on-a-chip (LoC) applications. However, despite a wealth of research and publications, electrowetting-on-dielectric (EWOD) DMF has not achieved the anticipated wide adoption, and commercialization has been painfully slow. By identifying the technological and resource hurdles in developing DMF chip and control systems as the culprit, we envision democratizing DMF by building a standardized design and manufacturing platform. To achieve this vision, we introduce a proof-of-concept cloud platform that empowers any user to design, obtain, and operate DMF chips (https://edroplets.org). For chip design, we establish a web-based EWOD chip design platform with layout rules and automated wire routing. For chip manufacturing, we build a web-based EWOD chip manufacturing platform and fabricate four types of EWOD chips (i.e., glass, paper, PCB, and TFT) to demonstrate the foundry service workflow. For chip control, we introduce a compact EWOD control system along with web-based operating software. Although industrial fabrication services are beyond the scope of this work, we hope this perspective will inspire academic and commercial stakeholders to join the initiative toward a DMF ecosystem for the masses.

Climate Justice Implications of Banning Air-Freighted Fresh Produce

Background: Airfreight transport refers to the shipment of goods by air from one location to another and is often perceived as a contributor to global carbon emissions. The environmental impacts associated with airfreight are of notable and genuine concern. Such concerns have often led to calls for measures to ban or limit air freight as a mode of transportation for goods. Whilst the majority of these calls are perceived to be well placed, it is nevertheless essential to acknowledge the climate justice implications associated with such measures, particularly in the context of perishable products like fresh produce. Methods: The aim of this study is to thoroughly examine the socioeconomic implications of banning air-freighted fresh produce and to recommend practices that can minimize the environmental impacts. Utilizing Blue Skies Holdings Ltd., Pitsford, UK as a case study, this paper undertakes a comprehensive analysis of the potential climate justice ramifications associated with the prohibition of air-freighted fresh produce. Results: The analysis highlights the intricate interplay between the environmental and socioeconomic dimensions of the issue. By investigating the carbon emissions attributed to aviation and air logistics in particular and meticulously scrutinizing the possible consequences of an airfreight ban in relation to vulnerable communities within developing economies that are heavily reliant on fresh produce exports, the study contributes insights to guide policy discourse and the decision-making processes within commercial entities with respect to their carbon emissions reduction strategies. Conclusions: Accordingly, this study provides a number of recommendations for various actors, particularly commercial stakeholders, who deal with air-freighted fresh produce.

Expert views on high fat, salt and sugar food marketing policies to tackle obesity and improve dietary behaviours in the UK: a qualitative study

BackgroundThere has been a lack of progress in reducing obesity in the United Kingdom (UK) despite Government strategies released over the last 30 years. These strategies, including the most recent publication from July 2020, have focused on childhood obesity and high fat, sugar and/or salt (HFSS) marketing restrictions, particularly broadcast advertising. In this study, we aimed to examine a range of expert views on the potential impact and the relative importance of such policies.MethodsSemi-structured interviews were conducted with 42 experts in policy (n = 19), industry (n = 10), and advocacy (n = 13) with an interest in obesity. The UK Government’s 2020 obesity strategy was used as a prompt to guide discussion on policy options. Qualitative thematic analysis was employed to answer the three research questions and themes were inductively coded within each research question. Data were also cross compared using matrix coding and a form of framework analysis to examine the views expressed by the different types of stakeholders.ResultsReactions to the July 2020 proposal were mixed among policy and advocacy stakeholders, while commercial stakeholders expressed disappointment. A main theme emerging in all groups was frustration with the policy process and wishing to see more clarity regarding restrictions and their implementation. There was an overall lack of trust that the government would carry out their proposed plan and agreement that a more comprehensive, multi-sector approach aimed at the underlying drivers of obesity would be most effective, with some stakeholders indicating that some of the proposed policies could make a difference if implemented robustly. On the theme of promoting healthier options, some stakeholders suggested lowering the prices of ‘healthy’ products and making them more accessible to combat regressivity. There was a potentially surprising level of agreement between policy/advocacy stakeholders and commercial stakeholders, although commercial stakeholders were more likely to advocate for collaboration between government and industry as well as voluntary industry measures.ConclusionWhile HFSS marketing restrictions have a role to play and send a strong signal – provided they are implemented comprehensively – investment in these policies needs to be part of wider efforts to tackle the underlying drivers of obesity.

Data sharing in agricultural supply chains: Using semantics to enable sustainable food systems

The agrifood system faces a great many economic, social and environmental challenges. One of the biggest practical challenges has been to achieve greater data sharing throughout the agrifood system and the supply chain, both to inform other stakeholders about a product and equally to incentivise greater environmental sustainability. In this paper, a data sharing architecture is described built on three principles (a) reuse of existing semantic standards; (b) integration with legacy systems; and (c) a distributed architecture where stakeholders control access to their own data. The system has been developed based on the requirements of commercial users and is designed to allow queries across a federated network of agrifood stakeholders. The Ploutos semantic model is built on an integration of existing ontologies. The Ploutos architecture is built on a discovery directory and interoperability enablers, which use graph query patterns to traverse the network and collect the requisite data to be shared. The system is exemplified in the context of a pilot involving commercial stakeholders in the processed fruit sector. The data sharing approach is highly extensible with considerable potential for capturing sustainability related data.

Safety and efficacy of an artificial intelligence-enabled decision tool for treatment decisions in neovascular age-related macular degeneration and an exploration of clinical pathway integration and implementation: protocol for a multi-methods validation study

IntroductionNeovascular age-related macular degeneration (nAMD) management is one of the largest single-disease contributors to hospital outpatient appointments. Partial automation of nAMD treatment decisions could reduce demands on clinician time. Established...

Whose job is it anyway? A qualitative investigation into the influence of agents, race organisers, and sponsors on the risk of doping in elite distance running

ABSTRACT Agents, race-organisers, and sponsors have a key influence in shaping the world of elite professional distance running. Yet to date this important but hard-to-reach stakeholder group has been omitted from the global research landscape of doping and anti-doping. The purpose of this study is to address this gap in the literature and explore the systematic contributors to doping in elite long-distance running, along with potential solutions to this issue, from this influential perspective. Thirteen in-depth interviews were conducted with agents (n = 8) of world-class long-distance runners, major race organisers (n = 3), and sports marketing managers for global brands (n = 2). The interviews were conducted via the phone, audio-recorded, and transcribed verbatim. Reflexive thematic analysis generated three themes which focused on: 1) The framework of professional distance running and the contextual aspects which may contribute to doping risk, 2) the impact of various recruitment strategies on doping and anti-doping, and 3) the lessons that can be learnt from the participants’ first-hand experiences with doping cases and/or managing anti-doping requirements. Reflecting on the sector rather than the sample, the results highlighted that not all commercial stakeholders feel responsible for anti-doping. Collective responsibility from all stakeholders, which is currently borne by some and not others, is necessary to minimise doping in distance running. The challenge is how to convince all stakeholders of their share of the responsibility.

Public health education to change the global health conversation

Population health is driven by the forces in the world around us. Those forces, in turn, are determined by a national and global conversation about priorities and values. This highlights the challenges public health faces to achieve its broader aspirations. The long-drawn national and global debates about what to prioritize and how collective resources should be invested are influenced, both positively and negatively, by a wide variety of factors. Political considerations about where resources should be deployed and who benefits from them and who does not, are a central part of any national or global conversation. Similarly, commercial stakeholders have a particular and legitimate interest in a broader conversational environment, given the impact this topic can have on their commercial viability. Additionally, broader public conversations depend on the millions of small-scale conversations at the proverbial kitchen table that, together, lead to change and form the national and global consensus. This essay establishes the need to catalize, on small and large scales, the underpinnings of public health on an ongoing basis.

A Mixed-Methods Approach to Identify Farmers’ Perception and Practices Regarding Antibiotic Use in Vietnam

Antibiotic resistance (ABR) is one of the greatest global health concerns. The growth of food animal farming has challenged efforts to reduce unnecessary antibiotic use (ABU) and is linked to the rapid increases in ABR. This mixed-methods sociological study was conducted between 2016 and 2017, in a sample of 100 animal farmers in southern Vietnam, aiming to characterize their perception of ABU and identify factors influencing their practice. Data were collected from a structured questionnaire investigating characteristics of social demographics and farm style, farmers’ ABU perception and practices, sources of ABU information and the intention to reduce ABU. Generalized linear models were built to investigate potential influencing factors associated with ABU perception and practices. The results show a majority of farmers had an unfavourable perception of ABU. Only 13% correctly knew antibiotics were used for treating bacterial infections. The inappropriate practice of ABU for non-therapeutic purposes was found in almost two-thirds of the farmers (59.4%). Data from the multivariate analysis showed: (1) a significant association between an unfavourable perception of ABU and inappropriate practices, (2) an inverse influence of participation in training workshops to a favourable perception of ABU, but also (3) an inverse influence of participation in training workshops to inappropriate practices of ABU. The results suggest that the local training events that are usually put on by commercial companies do not assist farmers to effectively reduce ABU. On the contrary, these events seem to promote their use. We recognize the complexity of effectively managing appropriate ABU on farms in order to reduce ABR in Vietnam. We conclude that legislation and enforcement needs to be tightened to reduce sale of antibiotics to farmers without veterinarian prescription, and advertising and influence of commercial stakeholders needs to be highly moderated so that they do not unduly promote the unregulated use of antibiotics on farms. Household farmers are important stakeholders in the efforts to reducing ABU and preventing ABR, and therefore should be engaged more effectively.

Reaching a Tipping Point for Neurorehabilitation Research: Obstacles and Opportunities in Trial Design, Description, and Pooled Analysis

The record-breaking pace of COVID-19 vaccine development and implementation depended heavily on collaboration among academic, government, and commercial stakeholders, especially through data-sharing and robust multicenter trials. Collaborative efforts have not been as fruitful in fields such as neurorehabilitation, where non-pharmacological interventions play a much larger role. Barriers to translating scientific advancements into clinical practice in neurorehabilitation include pervasively small study sizes, exacerbated by limited funding for non-pharmacological multicenter clinical trials; difficulty standardizing—and adequately describing—non-pharmacological interventions; and a lack of incentives for individual patient-level data-sharing. These barriers prevent reliable meta-analysis of non-pharmacological clinical studies in neurorehabilitation. This point-of-view will highlight these challenges as well as suggest practical steps that may be taken to improve the neurorehabilitation pipeline between evidence and implementation.

Factors of Digital Transformation in the Maritime Transport Sector

This paper aims to present the model of factors which influence the digital transformation in maritime transport sector. The preliminary model is based on a literature review and interviews conducted to identify the relevant factors influencing the digital transformation of stakeholders operating in the maritime transport sector. In order to test the model, the survey was conducted on the sample of Croatian administrative (port authorities, ministry, harbormaster’s offices, etc.) and commercial stakeholders (freight forwarders, agents, terminal operators, etc.) operating in maritime transport sector. The collected data was analyzed using the partial least squares structural equation modeling (PLS-SEM) approach. The research has shown that organizational, technological, and environmental (TOE) factors affect the digitalization of the organizations in the maritime transport sector. As a result of digitalization, changes in business models are visible: organizations in maritime transport sector generate additional revenue from new sources, provide new services, and introduce new sales channels.

Data Integration Capabilities and Performance of Commercial Banks in Kenya

The purpose of this paper is to present an empirical evaluation of the effect of data integration capabilities on the performance of commercial banks in Kenya. An explanatory non-experimental design was applied to conduct a census of the 43 commercial banks in Kenya. A semi-structured questionnaire supported in collection of primary data. Secondary data from commercial banks annual financial results for period 2013 to 2019 was compiled using data collection sheet. SPSS tool was applied for analysis of data. The regression results disclosed that data integration capabilities positively and significantly affect performance of commercial banks. It was recommended that the managers of commercial banks and other stakeholders should continue investing and adopting data integration capabilities as it is an effective performance enhancement strategy. Further, the policymakers and regulators should employ policies that support data integration capabilities adoption to augment performance.

Characteristics of Early Phase Clinical Trials for Rare Cancers: Insights From Interviews With Stakeholders.

Background: Rare cancers occur with an incidence of no more than six cases per 100,000 people according to the definition used by the Surveillance of Rare Cancers in Europe project. For a variety of reasons (low prevalence, cytotoxicity), it is challenging to perform the necessary clinical studies to investigate the safety and efficacy of investigational medicines against such rare malignancies, reformulating even at the earliest stages of the drug development process. This article investigates the differences between phase I rare cancer trials performed in commercial (companies) and non-commercial settings (academic hospitals). Materials and Methods: The differences were explored through the conduct of semi-structured interviews with three different stakeholder groups: representatives from academia (n = 7), representatives from companies (n = 4) and representatives from patient organizations (n = 4). All the interviews were transcribed verbatim and analyzed in NVivo using the framework method. Results: According to the interviewees, the academic and commercial stakeholders collaborate in the majority of phase I rare cancer trials. In general, the commercial partner finances the trial, whereas academia is responsible for the execution of the study procedures. The average cost of undertaking these trials is difficult to estimate because it depends on what is specifically requested during the trial. The 3 + 3 study design remains the most widely used design and the use of expansion cohorts is controversial. With regard to the regulatory aspects of phase I rare cancer trials, it was expressed that a good regulatory framework facilitates the conduct of these studies, but that increased regulation and oversight also has drawbacks, e.g., differences in standards between different ethics committees, over interpretation of the rules, insufficient availability of qualified personnel and higher workloads. The patient organization representatives claimed that patients experience no differences in terms of accommodation, compensation and paperwork between the academic and commercial settings or the degree of follow-up. They also believed that the direct input of patients can bring added value to such studies not only with regard to the recruitment process and the feasibility of the study but also the legibility of the informed consent forms. Conclusion: The growing need for first-in-man trials in rare malignancies needs to be highlighted, as difficult as they are to undertake and to co-develop, not only because rare cancer patients deserve an appropriate treatment, but also because these medicines represent the future of cancer therapy in the precision medicine era. Cooperation of commercial and academic sites are needed. Patient organizations need to be educated to take part in this process.

Interactive Versus Static Decision Support Tools for COVID-19: Randomized Controlled Trial

BackgroundDuring the COVID-19 pandemic, medical laypersons with symptoms indicative of a COVID-19 infection commonly sought guidance on whether and where to find medical care. Numerous web-based decision support tools (DSTs) have been developed, both by public and commercial stakeholders, to assist their decision making. Though most of the DSTs’ underlying algorithms are similar and simple decision trees, their mode of presentation differs: some DSTs present a static flowchart, while others are designed as a conversational agent, guiding the user through the decision tree’s nodes step-by-step in an interactive manner.ObjectiveThis study aims to investigate whether interactive DSTs provide greater decision support than noninteractive (ie, static) flowcharts.MethodsWe developed mock interfaces for 2 DSTs (1 static, 1 interactive), mimicking patient-facing, freely available DSTs for COVID-19-related self-assessment. Their underlying algorithm was identical and based on the Centers for Disease Control and Prevention’s guidelines. We recruited adult US residents online in November 2020. Participants appraised the appropriate social and care-seeking behavior for 7 fictitious descriptions of patients (case vignettes). Participants in the experimental groups received either the static or the interactive mock DST as support, while the control group appraised the case vignettes unsupported. We determined participants’ accuracy, decision certainty (after deciding), and mental effort to measure the quality of decision support. Participants’ ratings of the DSTs’ usefulness, ease of use, trust, and future intention to use the tools served as measures to analyze differences in participants’ perception of the tools. We used ANOVAs and t tests to assess statistical significance.ResultsOur survey yielded 196 responses. The mean number of correct assessments was higher in the intervention groups (interactive DST group: mean 11.71, SD 2.37; static DST group: mean 11.45, SD 2.48) than in the control group (mean 10.17, SD 2.00). Decisional certainty was significantly higher in the experimental groups (interactive DST group: mean 80.7%, SD 14.1%; static DST group: mean 80.5%, SD 15.8%) compared to the control group (mean 65.8%, SD 20.8%). The differences in these measures proved statistically significant in t tests comparing each intervention group with the control group (P<.001 for all 4 t tests). ANOVA detected no significant differences regarding mental effort between the 3 study groups. Differences between the 2 intervention groups were of small effect sizes and nonsignificant for all 3 measures of the quality of decision support and most measures of participants’ perception of the DSTs.ConclusionsWhen the decision space is limited, as is the case in common COVID-19 self-assessment DSTs, static flowcharts might prove as beneficial in enhancing decision quality as interactive tools. Given that static flowcharts reveal the underlying decision algorithm more transparently and require less effort to develop, they might prove more efficient in providing guidance to the public. Further research should validate our findings on different use cases, elaborate on the trade-off between transparency and convenience in DSTs, and investigate whether subgroups of users benefit more with 1 type of user interface than the other.Trial RegistrationDeutsches Register Klinischer Studien DRKS00028136; https://tinyurl.com/4bcfausx (retrospectively registered)

Call for a Public Open Database of All Chemical Reactions.

Today there exists no public, freely downloadable, comprehensive database of all known chemical reactions and associated information. Such a database not only would serve chemical sciences and technologies around the world but also would enable the power of modern AI and machine learning methods to be unleashed on a host of fundamental problems. In time, this could lead to important scientific discoveries and economic developments for the benefit of humanity. While ideally such a repository ought to be created and maintained by an international consortium, in the near future, it may be easier to begin the process through governmental agencies such as the National Science Foundation or the National Institutes of Health. Working together, we could use a multipronged approach that could combine negotiations with commercial stakeholders, crowd-sourcing efforts, automated extraction methods, and legislative actions.

From Rebellion to Reform: Representations of Regional and Civic Improvement in the Aberdeen Journal, 1747–85

The role of the Aberdeen Journal in facilitating the commercial modernization of Aberdeen and the northeast of Scotland in the four decades after the Battle of Culloden is an understudied aspect of the city's and region's social, economic and cultural history. This article examines the way improvement initiatives from key regional and civic stakeholders like the Board of Trustees for Fisheries, Manufactures and Improvements in Scotland, the Aberdeenshire Society for the Encouragement of Agriculture and Manufactures, the Commissioners of Supply, Aberdeen Town Council, and Marischal College were represented in the newspaper. In particular it highlights how James Chalmers 2 and James Chalmers 3—the Aberdeen Journal's proprietors during its first forty years—developed Scotland's first newspaper north of Edinburgh as an informational hub to integrate the city and region into key currents of Scottish and British capitalist modernization in the second half of the eighteenth century, from linen manufacturing and processing, to land reform and agricultural improvement. The social and economic transformation facilitated by the newspaper led to demands for political reform by those new commercial stakeholders, like John Ewen and Patrick Barron, who had profited from this regional modernization, and the article argues that the Aberdeen burgh reform movement of the early 1780s that utilized the Aberdeen Journal as a principal periodical platform was an essential consequence of this trajectory of regional and civic improvement, and a key test for translating it into a tangible expansion of democratic rights.

Selection of Industrial Trade Waste Resource Recovery Technologies—A Systematic Review

Industrial wastewater and other trade wastes are often sources of pollution which can cause environmental damage. However, resource recovery approaches have the potential to lead to positive environmental outcomes, profits, and new sources of finite commodities. Information on these waste sources, and the valuable components which may be contained in such waste is increasingly being made available by public, academic and commercial stakeholders (including companies active in meat processing, dairy, brewing, textile and other sectors). Utilising academic and industry literature, this review evaluates several methods of resource recovery (e.g., bioreactors, membrane technologies, and traditional chemical processes) and their advantages and disadvantages in a trade waste setting. This review lays the groundwork for classification of waste and resource recovery technologies, in order to inform process choices, which may lead to wider commercial application of these technologies. Although each waste source and recovery process is unique, membrane bioreactors show promise for a wide range of resource recovery applications. Despite interest, uptake of resource recovery technologies remains low, or not widely championed. For this to change, knowledge needs to increase in several key areas including: availabilities and classification of trade wastes, technology choice processes, and industrial viability.