Infrastructure Capabilities Research Articles

Enhanced Digital Capabilities for Building Resilient Supply Chains: Exploring Visibility, Collaboration, and Resilience in China’s Electric Vehicle Industry

This study investigates the impact of digital capabilities (DC) on building resilient supply chains in China’s electric vehicle (EV) industry. As the complexity of the EV sector continues to grow, improving supply chain resilience (SCR) is essential for sustaining long-term growth and maintaining competitiveness. This research focuses on how visibility and collaboration, supported by DC, contribute to the development of SCR. Using structural equation modeling (SEM), data from 399 Chinese EV supply chain enterprises were analyzed to examine the moderating effects of DC and their sub-dimensions—digital infrastructure capability, digital analytics capability, and strategic support capability—on the relationships between visibility, collaboration, and resilience. The results reveal that both visibility and collaboration significantly and positively influence resilience, with visibility having the strongest impact. Furthermore, digital analytics capability enhances the positive effect of collaboration on resilience, while overall DC and other dimensions, such as digital infrastructure and strategic support capabilities, show limited impact. The findings also underscore that digital infrastructure capability plays a vital role in amplifying the impact of visibility on resilience. Consequently, EV supply chain enterprises are encouraged to invest continuously in digital infrastructure and analytics capabilities to strengthen their SCR.

Security Infrastructure Service and Information Security Management Capability Audit to Improve System Security in Preventing Cyber Attacks using COBIT 2019

Cyber-attacks have become a serious concern in recent years, as hackers can attack systems, databases, and even steal personal data from a particular organization's database and sell it on the dark web. The individual identity data will be used to carry out various financially profitable activities such as online fraud, selling data containing detailed account information, and asking for ransom from data owners. The failure of an organization to protect data assets from cyber-attacks stems from several internal factors such as the vulnerability of the information security system it has, the less than optimal awareness of users in the organization of the importance of maintaining safe behavior in cyberspace, and routine processes related to information security that are missed. COBIT 2019 can be used as an audit framework to assess the level of maturity of the governance. Network infrastructure services in an organization can be measured in terms of the level of capability in terms of the application of technology assets and their configuration using the DSS05 and APO13 domains. This study aims to provide guidelines in assessing system security infrastructure in IT governance by assessing areas that are still not comply with the framework used, and providing recommendations for improving these inconsistencies so that the level of infrastructure capability will be maximized then.

Target door-to-needle time in acute stroke treatment via telemedicine versus in-person evaluation in a rural setting of the Midwest: a retrospective cohort study.

ObjectivesTelemedicine enables stroke specialists to treat patients with suspected acute stroke in facilities lacking in-person coverage. Studies have compared telemedicine in rural settings to in-person evaluation in urban areas, introducing biases of different infrastructure capabilities and ancillary staff. In this study, the authors provide a comparison of door-to-needle time (DTN) in the administration of thrombolytics in a rural stroke network, where the acute stroke care is provided by the same stroke specialists both in-person and via telemedicine. MethodsThis is a retrospective study analyzing DTN in patients treated with thrombolytics at a rural stroke network over five-year period. For each patient, demographics, medical history, clinical presentation, modality of evaluation, facilitator of telemedicine, and DTN were reviewed. Thrombolytic complications, mortality, and mRS at one month were noted. ResultsOut of 239 patients treated with thrombolytics, 142 were evaluated by telemedicine, and 97 in-person. In the telemedicine group, 108 evaluations were facilitated by nursing staff, while 34 by midlevel neurology providers (MNP). In-person group was associated with a faster median DTN (IQR), in minutes, (42 (35-54) vs. 55 (43-73), p<0.01) and higher rate of DTN ≤60 minutes (76% vs. 60%, p=0.01). In a logistic regression model, after correcting for NIHSS, GCS, SBP, time of evaluation, and presence of family at bedside, in-person evaluation remained associated with better DTN time (OR:2.02, CI:1.06-3.81, p=0.03). There was no difference between the two groups in safety and short-term outcome. The presence of MNP as telemedicine facilitator improved both DNT (47 (35-53) vs. 42 (35-54)) and DTN≤60 minutes (85% vs. 76%) compared to in-person evaluation, p>0.05 for both. ConclusionsIn our population, in-person evaluation provided faster DTN time compared to telemedicine. This trend reversed when a midlevel provider facilitated telemedicine. The faster DTN did not translate into increased safety or better short-term outcome.

Preparing future physics teachers to conduct entertaining experiments using the infrastructural potential of innovative educational centers

Introduction. The modern education system requires future teachers not only to have deep theoretical knowledge of the subject, but also practical skills in using innovative equipment that helps schoolchildren learn the educational material more effectively. Therefore, the problem of preparing future teachers to use modern technologies and innovative teaching methods in the educational process is relevant. The aim of the article: to develop and implement a modular curriculum for professional education that will enable teachers to effectively use the infrastructural potential of innovative educational centers. Methodology and methods. The study was conducted at the Chuvash State Pedagogical University named after I. Ya. Yakovlev and educational institutions in Cheboksary and the Chuvash Republic (Russia). More than 100 physics teachers, 80 schoolchildren, and 45 students of the pedagogical university took part in the pedagogical experiment. Methods of the experimental study: survey, observation, analysis, synthesis, and questionnaires. A survey was organized to identify the main difficulties that teachers encounter when performing laboratory work with schoolchildren during class and extracurricular activities. A program of professional training of future teachers was prepared and implemented, aimed at developing skills in working with laboratory equipment, the ability to plan and implement physical experiments that motivate both the students themselves and the pupils. A questionnaire was organized to understand the level of interest in the subject and the involvement of schoolchildren in the activity. Results. The majority of respondents (75.3%) do not use the equipment of the children's technopark "Kvantorium", 73.3% of respondents actively use the equipment of the "Growth Point" center in their work. According to the majority of survey participants (43.8%), high-quality work requires an expansion of the types of equipment, as well as the development of accessible guidelines for performing laboratory work using modern equipment. Conclusion. The findings of the study demonstrate the effectiveness of using the infrastructure capabilities of modern educational centers to improve the quality of physics education. The recommendations are aimed at stimulating teachers to actively use practical methods and digital technologies of new centers in the educational process. The results obtained open up new horizons for further research to improve the effectiveness of using the educational potential of centers through expanding thematic experiments and adapting programs to the diverse educational needs and interests of students. The proposed recommendations can become the basis for implementing similar programs with students of other pedagogical universities.

Energy-Efficient Buildings for Biosphere’s Sustainability

For decades now, the planet’s biosphere sustainability has been at stake due to human, social, economic and environmental factors that have negatively impacted our earth. With global warming and greenhouse gas emissions on the rise, there is every need to worry. Climate change today has a significant impact on almost every aspect of our environment, economies, societies and the planet’s biosphere which is under immense threat of extinction. The building sector is a key contributor to carbon dioxide emissions in the world today. Reducing the building sector's production of greenhouse gasses and other negative impacts to safer levels is a big challenge today and it must be met quickly and decisively. Luckily, there are many Information and Communications Technology (ICT) technologies that already exist to mitigate carbon dioxide emissions and adverse climatic change effects. The purpose of this research is to review the nexus of Internet of Things innovations to deliver Net Zero energy buildings (NZEBs) that can mitigate global warming for a sustainable biosphere. This will help achieve favourable energy efficiency for a sustainable world from the adverse climatic upheavals due to increased global warming. The specific objectives of the research are: i) To examine the gravity of emissions from non-energy efficient buildings and the extent to which they contribute to global warming; ii) To explore the components and capabilities of IoT technology and infrastructure that influence the design of internet of things; iii) To specify ways of integrating machine learning (ML) and artificial intelligence (AI) technology to reconstruct past climate events and improve future predictions. Data analysis was done at the National Construction Authority with a target population consisting of 350 technical and management staff. The research fronts a future of worldwide energy efficiency for a sustainable biosphere to be realized by mass implementation of the Internet of Things, M2M energy-efficient buildings technology

A Framework for the Multi-Dimensional Assessment of Interoperability for Open Data Ecosystems Development

The generation of social and economic value from the vast quantities of data opened by governments has been much lower than the initial expectations. It requires the development and cooperation of ecosystems composed of various public, private, and non-profit actors. For the development of these ecosystems in order to generate social and economic value from open government data (OGD), necessary conditions are, on the one hand, the availability of a critical mass of OGD and, on the other hand, the existence of some level of homogeneity and interoperability among the numerous portals and websites providing them, which enables their combined exploitation that increases the potential for value generation from them. This paper focuses on the latter and develops the Technical, Semantic, Legal, and Organizational (TSLO) Interoperability Framework, a conceptual tool designed to provide a structured multi-dimensional assessment of the interoperability capabilities of OGD infrastructures, based on the ‘European Interoperability Framework’ (EIF) as well as relevant OGD literature. This TSLO framework has been applied for the assessment of the above main dimensions of the interoperability of the OGD infrastructures of the Greek local government administration institutions of all three layers (decentralized, regional, and municipal). After this application, nine interviews were conducted with nine municipalities that do not provide OGD in order to gain a deeper understanding of the reasons for this. The results of this first application of TSLO revealed not only the low participation of Greek local government institutions, and especially of the municipalities, in the OGD movement (with only 8 out of the 332 municipalities providing open data on their portals or websites), but also the inconsistent implementation of this, especially with respect to the use of semantic technologies as well as the legal frameworks under which the open data are provided, resulting in low levels of interoperability among them. The interviews that were conducted revealed that the opening of some of their data was not a priority for them, as their limited resources had to be used for the development of internal information systems for increasing their efficiency, as well as e-services for the citizens, enabling them to conduct transactions electronically (through the Internet). Our study makes a contribution to the still limited body of research on OGD ecosystems, examining an important precondition for their development that has not been researched in previous literature; also, our framework can contribute to the increase of interoperability of OGD infrastructures and therefore to the increase of social and economic value generations for the OGD they provide.

A Linear Programming Approach to Ensuring Equitable Distribution of COVID-19 Vaccines in Lower Income Countries

Abstract The equitable dissemination of COVID-19 vaccinations in lower-income nations presents a crucial worldwide dilemma, necessitating smart allocation techniques to guarantee impartial and effective coverage. This paper introduces a mathematical approach that utilizes Linear Programming (LP) to efficiently distribute vaccination doses among lower-income countries. The model incorporates crucial variables such population magnitude, healthcare infrastructure capability, susceptibility to the virus, financial limitations, and worldwide vaccine availability. The linear programming (LP) model is constructed using decision variables that indicate the quantity of vaccination doses assigned to each country. The goal function seeks to optimize the fair allocation of resources by giving weights to countries according to certain criteria. Constraints are imposed to ensure compliance with global vaccine supply, population coverage targets, healthcare capacity, vulnerability concerns, and budget limits. The non-negativity constraints guarantee that the vaccination allocations will always be greater than or equal to zero. The model is designed to be flexible, taking into account dynamic factors such as emerging viral strains and fluctuating vaccination availability. It highlights the significance of timely data updates to facilitate decision-making. The LP solver, such as the simplex method or interior-point approaches, is used to determine the best solution that achieves a fair distribution while considering logistical limitations. The results obtained from the linear programming (LP) model offer practical and effective guidance for policymakers and health organizations. These insights help in distributing COVID-19 vaccinations in a way that maximizes their impact and reduces inequalities among lower-income countries. The approach recognizes the interdependence of global health and emphasizes the need for coordinated endeavors in addressing the pandemic. This mathematical model is a useful tool in the ongoing efforts to distribute COVID-19 vaccinations fairly and efficiently. It contributes to the worldwide aim of obtaining universal immunity and overcoming the problems posed by the epidemic in lower-icnome countries.

Modelling project activities for future teachers within the innovative infrastructure of pedagogical universities: integrative solutions

Introduction. In the quest to enhance the training of future teachers, particular emphasis is placed on identifying the educational potential of new learning environments within pedagogical universities under the Ministry of Education of Russia. These institutions have undergone infrastructure updates as part of federal programs designed to support education. Aim. The aim of this study is to develop an original model for organising the project activities of student teachers, taking into account the contemporary infrastructural capabilities of pedagogical universities under the Ministry of Education of Russia. Methodology, methods and techniques. The methodological foundation of this research is grounded in the principles of community development pedagogy and the design of evolving educational systems. The integration of integrative, synergetic, environmental, and system-activity approaches facilitated the identification and development of components within the author’s model for organising project activities for future teachers in the context of pedagogical technoparks, such as “Quantorium”, and technoparks focused on universal pedagogical competencies in higher education institutions under the Ministry of Education of the Russian Federation. The validation of the developed model was conducted through expert assessments. Results. The authors developed the model for organising project activities for future teachers within the innovative infrastructure of pedagogical universities. The main components of the model are outlined, including integrative objectives and anticipated outcomes of students’ project activities, interdisciplinary project content, and a technological component that facilitates the transformation of interdisciplinary project content into personally meaningful experiences through the technology of collaborative distributed project activities. The study identifies and justifies the conditions necessary for the effective implementation of the developed model, focusing on the management of processes, resources, and participants involved in interdisciplinary project activities. Scientific novelty. Integrative processes, within the context of this study, are regarded as a pedagogical phenomenon that reflects the interconnections among the objects, processes, and subjects involved in project activities. Practical significance. The research materials can be utilised in the development of programmes aimed at enhancing the infrastructure of pedagogical universities. They can also assist in the refinement of educational curricula for training teaching staff, particularly in disciplines that prepare future educators to effectively organise project-based activities within contemporary educational environments.

Extremity War Injury Symposium 2024: Sports Medicine and Medical Readiness Section Summary

Collaboration between military and civilian investigators is necessary to develop strategies for optimizing treatments to diminish the sequelae of non–battle-related musculoskeletal injuries, which are highly prevalent among servicemembers. The 2024 Extremity War Injuries Symposium provided a forum whereby a diverse group of clinicians and researchers could develop strategies for optimizing treatments and diminishing the sequelae of conditions that are highly prevalent among active individuals. Key points were as follows: 1. The value of collaborations between military and civilian investigators cannot be overemphasized. These synergies can leverage the capabilities of established infrastructures in order to answer important questions pertaining to short-term outcomes—for example, warrior readiness of anterior cruciate ligament reconstructions among servicemembers and long-term posttraumatic osteoarthritis (PTOA) outcomes among civilian cohorts. 2. Current and future prospective trials will inform future treatment decisions related to multiligamentous knee injuries and glenohumeral instability. 3. Novel approaches to addressing PTOA in the acute postinjury period will need longitudinal surveillance to measure their impact on improving clinical outcomes and diminishing residual functional deficits.

How to assess measurement capabilities of a security monitoring infrastructure and plan investment through a graph-based approach

Security monitoring is a crucial activity in managing cybersecurity for any organization, as it plays a foundational role in various security processes and systems, such as risk identification and threat detection. To be effective, security monitoring is currently implemented by orchestrating multiple data sources to provide corrective actions promptly. Poor monitoring management can compromise an organization’s cybersecurity posture and waste resources. This issue is further exacerbated by the fact that monitoring infrastructures are typically managed with a limited resource budget. This paper addresses the problem of supporting security experts in managing security infrastructures efficiently and effectively by considering the trade-off cost-benefit between using specific monitoring tools and the benefit of including them in the organization’s infrastructure. To this aim, we introduce a graph-based model named Metric Graph Model (MGM) to represent dependencies between security metrics and the monitoring infrastructure. It is used to solve a set of security monitoring problems: (i) Metrics Computability, to assess the measurement capabilities of the monitoring infrastructure, (ii) Instrument Redundancy, to assess the utility of the instruments used for the monitoring, and (iii) Cost-Bounded Constraint, to identify the optimal monitoring infrastructure in terms of cost-benefit trade-off. We prove the NP-hardness of some of these problems, propose heuristics for solving them based on the Metric Graph Model and provide an experimental evaluation that shows their better performance than existing solutions. Finally, we present a usage scenario based on an instance of the Metric Graph Model derived from a state-of-the-art security metric taxonomy currently employed by organizations. It demonstrates how the proposed approach supports an administrator in optimizing the security monitoring infrastructure in terms of saving resources and speeding up the decision-making process.

Making Tax Smart: Feasibility of Distributed Ledger Technology for Building Tax Compliance Functionality to Central Bank Digital Currency

The latest advancements in distributed ledger technology (DLT) and payment architectures such as the UK’s New Payments Architecture present opportunities for leveraging the hidden informational value and intelligence within payments. In this paper, we present Smart Money, an infrastructure capability for a central bank digital currency (CBDC) which enables real-time value-added tax split payments, oversight, controlled access, and smart policy implementation. This capability is implemented as a prototype called Making Tax Smart (MTS), which utilises the open-source R3 Corda DLT framework. The results presented herein confirm that it is feasible to build an MTS capability which is scalable and co-exists with the current payment systems. Smart Money CBDC has the potential to mobilise payments data, transforming the role of money from a blunt instrument to a government policy sensor and actuator without disrupting the existing money system. DLT, smart contracts, and programmable money have a crucial role to play with benefits for government departments, the economy, and society as a whole.

Impact of information technology capabilities on organizational resilience: the mediating role of social capital

Organizational resilience is becoming a priority for enterprises’ survival in volatile, uncertain, complex, and ambiguous (VUCA) contexts. However, few studies have investigated how information technology (IT) capabilities promote organizational resilience. To fill this gap, we draw on the IT capabilities literature and social capital theory to build a theoretical model to investigate the impact of IT capabilities on organizational resilience. The concept of social capital is introduced as a mediating mechanism in the relationship between IT capabilities (i.e., infrastructure capability, human capability, and business spanning capability) and organizational resilience (i.e., reactive and proactive resilience). The model is tested based on 369 Chinese manufacturing enterprises that survived the COVID-19 pandemic. This study confirms the key role of IT capabilities in building organizational resilience and the critical mediating role that social capital exhibits between IT capabilities and organizational resilience. This study has both theoretical and managerial implications for enterprise digital resilience.

Quantum-Resilient Self-Evolving Blockchains: AI- Driven Consensus and Autonomous Security Upgrades

The fragility of conventional blockchain systems is becoming more apparent in face of the relentless march forward in quantum computing. In this paper, we suggest the optimal architecture for quantum-resistant blockchains deploying AI regarding consensus self- evolving security protocols and mechanisms. An intuitive example of this integration is the use of machine learning algorithms for a self-adapting security system, which automatically adjusts the protection on its infrastructure capabilities to evolving quantum threats. In this paper, we address the consequences of quantum computing in blockchain security introduce a framework for AI-assisted consensus (Section 3) and cover the feasibility of self- evolving blockchains that guarantee their reliability as well as integrity in a post-quantum era.

Knowledge management infrastructure capabilities towards innovative work behavior: Employee's resilience and role of functional flexibility

This study aims to identify the specific mechanisms through which knowledge management infrastructure capabilities (KMIC) can affect IWB and provide insights into how organizations can support innovation through the development of resilient employees. Therefore, current research investigates the association between Knowledge-Management Infrastructure Capability (KMIC), Employee Resilience, Function-al-Flexibility (FF), and Innovative Work-Behavior (IWB) in the workplace. The data was collected through a survey of 374 employees working in tourism firms. For data collection, random sampling method and SEM technique was used. The outcomes demonstrate that KMIC has significant link with IWB; findings also present that employee's resilience mediates and functional flexibility moderates in the association between KMIC and IWB, which in turn have a positive and significant impact on IWB. By investing in knowledge management practices, developing employee resilience, and enhancing functional flexibility, organizations can improve their competitiveness, promote growth and innovation, and enhance their employees' well-being and job satisfaction. This study just explored how KMIC affected innovative work behavior directly and indirectly. In future additional factors such as leadership style and organizational culture could be explored. Additionally, the study found that functional flexibility moderates the relationship between employee resilience and IWB. This study finding offer imperative implications for organizations that aims to improve their employees' resilience, functional flexibility, and IWB through knowledge management practices. Through inferring these dynamics, this research provides valued insights for upcoming studies on the executive origination and offer useful instructions for industries pursuing to raise employee determined invention with strong KMIC, nurturing resilience and stimulating functional flexibility.

Multi-period optimisation of flexible natural gas production network infrastructure with an operational perspective: A mixed integer linear programming approach

With the increased complexities in end markets, advanced quantitative tools became essential for efficient decision-making. Traditional methods that implement average forecasted demand and prices often fail to account for the dynamic nature of network behaviour. Hence, this study introduces a multi-period mixed integer linear programming (MILP) model for flexible natural gas allocation in complex networks. The model was formulated based on Qatar as a case study, utilising a Qatar-based natural gas monetisation network that includes four direct and two indirect monetisation processes. By integrating flexible operational boundaries with annual demand and price forecasts, the model optimises annual allocation strategies to maximise profitability. A scenario-based evaluation of three cases demonstrated the model’s robustness and potential for enhancing profitability. Scenarios limited to operational constraints achieved the highest profitability, especially in allocating high-value commodities such as ammonia and urea. However, the proposed production capacities surpass the current infrastructure capabilities, requiring further infrastructure investments. The validation of results showed a slight profitability decrease of 1.2% when these investment costs were included. Notably the case considering fixed and operating cost variables together as a single cost variable in the objective function, referred to as annualised cost (case C), offered optimal cost quantification with relaxed technical constraints. Overall, the multi-level multi-period MILP model aids decision-makers in understanding system capabilities and explores the benefits of flexible operation in proactively addressing endogenous and exogenous uncertainties.

Incubation Periods of SARS-CoV-2 Wild-Type, Delta, and Omicron Variants–Dominant Periods in Singapore

This study in Singapore analysed the incubation periods of the following SARS-CoV-2 variants: Wuhan-Hu-1, Delta, and Omicron. Three pandemic waves were examined: Wuhan-Hu-1 (January 2020–March 2021), Delta (May–October 2021), and Omicron (January–June 2022). Data from the SingHealth COVID-19 registry, covering patients from 23 January 2020 to 10 June 2022, were used to calculate incubation periods during the three time periods. The study found median incubation periods of 11 days for Wuhan-Hu-1, 3 days for Delta, and 3 days for Omicron (p-value: &lt;0.001). This study highlighted the impact of different containment measures and the importance of robust EMR systems for tracking and managing infectious diseases. Key challenges included accurate contact tracing and IT infrastructure capabilities. The findings support the use of EMR data for future infectious disease preparedness in Singapore.

Assessing Southeast Asia countries’ potential in the semiconductor supply chain: an objectively weighting multi-criteria decision-making approach

The semiconductor industry serves as a key enabler of technological progress and economic growth on a global scale. With Southeast Asia emerging as a region of increasing importance in the global supply chain landscape, understanding the potential for its countries to participate in the semiconductor supply chain becomes crucial. Despite extensive research on global supply chain dynamics, a focused analysis on the role of Southeast Asia within this crucial industry has been notably absent, particularly considering recent geopolitical and economic shifts. This gap has been filled by employing a rigorously designed Multi-Criteria Decision Making (MCDM) approach that integrates the Criteria Importance Through Intercriteria Correlation (CRITIC) method and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Data on fifteen indicators, including economic stability, technological innovation capacity, and infrastructural capabilities, were collected and identified through an extensive literature review and consultations with stakeholders. These indicators were weighted using the CRITIC method to reflect their relative importance, and each country’s position relative to an ideal solution was assessed using the TOPSIS method. It was revealed that countries such as Singapore and Malaysia possess significant potential due to their advanced technological infrastructure and stable economic environments. Other countries, like Vietnam and Indonesia, were also found to exhibit promising capabilities, albeit with certain limitations. The study highlights the varying strengths and strategic areas that should be considered by policymakers and investors to enhance integration into the global semiconductor supply chain. Significant contributions to the strategic decision-making process have been made by providing a nuanced analysis of the region’s readiness and identifying specific areas for investment and policy intervention. By offering a methodological framework that can be adapted to other regions and sectors, not only has an existing research void been filled, but the practical understanding of effectively leveraging Southeast Asia’s potential in the semiconductor industry has also been enhanced.

Designing an Entrepreneurial Model of Remote Communication Technologies in Clinical Medicine: A Qualitative Study

Background: Today, information technology has permeated all fields, transforming numerous aspects of our lives, while entrepreneurship has become increasingly essential. In medicine, the integration of this technology is becoming crucial. Objectives: This research focuses on designing an entrepreneurial model that leverages modern communication and information technologies in the health sector. By capitalizing on created opportunities, entrepreneurs can drive innovation, leading to cost savings, time efficiency, and greater access to health and medical services for people everywhere. Methods: In this qualitative study, the sample included faculty members from Iran University of Medical Sciences, selected through purposive sampling. Following this, the sample was expanded using snowball sampling, introduced through key experts, to include additional informed individuals. Data collection was conducted through semi-structured interviews with faculty members, experts, and knowledgeable individuals who were willing to participate. The interviews continued until data saturation was reached. Data analysis was carried out using content analysis, with coding performed using MAXQDA10 software. Results: After coding and identifying the main and sub-themes, content analysis was completed, resulting in 10 main themes and 57 sub-themes. All interviewees highlighted sub-themes such as "infrastructure and hardware," "internet bandwidth," "access to electronic health records," "equipment and supplies," "data privacy," "qualified physicians," and "counseling." Conclusions: When designing an entrepreneurial model in any region or country, it is essential to consider the existing needs and conditions, environmental demands, population characteristics, culture, habits, preferences of service recipients, infrastructural capabilities, governing laws, and security issues. Additionally, the model must incorporate specific leadership, management, and oversight to ensure it becomes a responsive and effective system.

Advancements in Biological Dosimetry Techniques for Surge Response to Radiation Emergencies in Ghana

The awareness of the use of biodosimetry to estimate external radiation doses received by individuals and in radiation oncology, nuclear medicine, diagnostic, and interventional radiology has gained traction in recent years. At present Ghana is poised to integrate about 1GW of nuclear power into its electricity mix by 2034. The increased awareness of biodosimetry is probably due to increased radiological threats and incidents, medical and forensic applications, the quest to strengthen emergency response to unplanned radiation exposures such as radiological accidents, and the malevolent use of radioactive sources. Biodosimetry capabilities would play an effective role during public health management of radiation emergencies for rapid dose estimation and help to medically categorize the exposures for the purpose of prioritizing treatment of the affected persons. Moreover, it will also serve to provide reassurance and psychological support for the “worried-well”. Biodosimetry methods and infrastructure can also be utilized for various applications, including molecular research, medical cytogenetics, and forensics. This write-up assesses the status of biodosimetry methods and infrastructure capabilities available at the Ghana Atomic Energy Commission (GAEC), which could be leveraged during radiological or allied scenarios.

Stakeholder Perspectives on Tourism Infrastructure Development in Kashmir Valley

This study provides a rigorous evaluation of tourism infrastructure in the Kashmir Valley, concentrating on the perceptions of key stakeholders within the tourism sector. The research encompasses a detailed assessment across five major tourism destinations, evaluating a spectrum of factors including the diversity of tourism products, the region&amp;apos;s dependency on tourism, and patterns of visitor influx. By applying an extensive analytical framework, this study identifies and elucidates critical weaknesses in the infrastructure’s performance, examining the challenges through a scientifically robust approach. Data were meticulously collected and analysed to ascertain the current state of tourism infrastructure, revealing significant deficiencies and operational inefficiencies that impede effective performance. The study&amp;apos;s findings underscore the pressing need for strategic interventions tailored to address specific infrastructural shortcomings, geographical peculiarities, and the distinctive requirements of various tourism sites in the Kashmir Valley. This approach not only highlights the inadequacy of current infrastructure but also emphasizes the necessity of aligning infrastructure development with the region&amp;apos;s diverse tourism landscape. The study&amp;apos;s conclusions advocate for targeted policy recommendations aimed at enhancing infrastructure capabilities and operational efficiency. By ensuring that infrastructure development is both sufficient in quantity and appropriately aligned with regional tourism demands, the research aims to foster sustainable growth and resilience in the tourism sector of Kashmir Valley. This comprehensive analysis contributes to a deeper understanding of the interplay between tourism infrastructure and industry performance, offering valuable insights for policymakers and stakeholders engaged in tourism development.