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Floods are a common natural disaster whose severity in terms of duration, water resource volume, peak, and accumulated rainfall-based damage is likely to differ significantly for different geographical regions. In this paper, we first propose a novel hourly flood index ( S W R I 24 − h r − S ) derived from normalising the existing 24-hourly water resources index ( W R I 24 − h r − S ) in the literature to monitor flood risk on an hourly scale. The proposed S W R I 24 − h r − S is adopted to identify a flood situation and derive its characteristics, such as the duration (D), volume (V), and peak (Q). The comprehensive result analysis establishes the practical utility of S W R I 24 − h r − S in identifying flood situations at seven study sites in Fiji between 2014 and 2018 and deriving their characteristics (i.e., D, V, and Q). Secondly, this study develops a vine copula-probabilistic risk analysis system that models the joint distribution of flood characteristics (i.e., D, V, and Q) to extract their joint exceedance probability for the seven study sites in Fiji, enabling probabilistic flood risk assessment. The vine copula approach, particularly suited to Fiji's study sites, introduces a novel probabilistic framework for flood risk assessment. The results show moderate differences in the spatial patterns of joint exceedance probability of flood characteristics in different combination scenarios generated by the proposed vine copula approach. In the worst-case scenario, the probability of any flood event occurring where the flood volume, peak, and duration are likely to exceed the 95th-quantile value (representing an extreme flood event) is found to be less than 5% for all study sites. The proposed hourly flood index and the vine copula approach can be feasible and cost-effective tools for flood risk monitoring and assessment. The methodologies proposed in this study can be applied to other data-scarce regions where only rainfall data are available, offering crucial information for flood risk monitoring and assessment and for the development of effective mitigation strategies. [ABSTRACT FROM AUTHOR]

This research paper discusses the Field Development Plan (FDP) - 2020 of a brownfield which recommends drilling 3 infill producers to boost oil production. The study aims to address the mismatch in Gas Oil Ratio (GOR) in the existing model by incorporating uncertainty analysis in the simulation model. The methodology includes a top-down approach through the synthesis of the pressure-production behaviour, the evolution of GOR in wells/fields and the possible presence of a hidden gas cap. The findings of the present study demonstrate that by incorporating a small initial gas cap in the up-dip area of the field that any well has not penetrated, a significant improvement in GOR match and its early evolution in wells/fields are beautifully captured. The introduction of the initial gas cap has necessitated re-positioning and shifting of 3 infill producers away from the gas cap to maximise oil production. A novel two-pronged approach has been recommended for enhancing the water injection rate by 3-4 folds through a combination of a powered water injection system (already in place) and conversion of one of the existing injectors to a dump flooder on a pilot basis to ensure uninterrupted water injection in the field given the frequent power outages in the area. [ABSTRACT FROM AUTHOR]

Americans are moving toward climate risk, even as property damage from climate stresses becomes more salient. Over the coming years, climate change is likely to affect housing decisions through a variety of channels, for instance, by making high‐risk locations less attractive both to live and to invest. Households can respond to climate change in multiple ways, reflecting their underlying risk tolerance, financial resources, social networks, lifestyle preferences, and access to information. Private market actors and governments can also alter their engagement with housing markets, including the pricing and availability of property insurance and mortgages and subsidies for climate‐friendly retrofits. In this article, I review the literature on how households are incorporating climate risks into their housing decisions, identifying knowledge gaps and priorities for policymakers. A growing body of work suggests that localized climate risks are capitalized into housing prices in high‐risk areas, particularly in the recent wake after high‐profile storms. Much less is known about consumer knowledge of, and responses to, chronic climate stresses. A notable research gap exists on the climate impacts on renter households and rental markets. [ABSTRACT FROM AUTHOR]

This article seeks to explain disaster risk mitigation from a public service. The variety of disasters that occur and have the potential in Indonesia requires risk mitigation that public services can run normally. Literature studies conducted by the author through various research journal references related to public service risk mitigation are represented in explaining disaster risk mitigation in the perspective of public service. The findings show that risk mitigation can shape public service providers in facing various risks of natural and non-natural disasters through an understanding built between all stakeholders. The dimensions of compliance, deliberation and collaboration, accountability and transparency, and the use of technology are aspects of risk mitigation to optimize public service. [ABSTRACT FROM AUTHOR]

The abandonment of inland areas has become a major demographical challenge, causing a condition of local fragility in terms of spatial marginalization. To deal with this issue in Italy, a number of policy actions have been implemented over the time, namely the National Strategy for Inland Areas, established a decade ago, and more recently the Next Generation EU (NGEU) to foster local economic recovery and employment. In this context, RI.P.R.O.VA.RE., a project funded by the former Italian Ministry of the Environment and Protection of Land and Sea (MATTM), was aimed at strengthening the resilience features of communities and territories, focusing on areas within the Matese and Ufita in the Campania region and the Medio Agri in the Basilicata region (southern Italy). Besides the ability to respond to different pressure factors (e.g., of demographic and economic origin), the project also addressed issues concerning seismic and flood risks. This paper synthesizes the methods and tools provided for their analysis and mitigation as a prerequisite for regenerating inland areas. After presenting the developed methods and tools, the results obtained for the Matese study area are presented and discussed. While, on the one hand, the retrieved risk zoning maps allow individuating those municipalities requiring priority structural interventions, on the other hand, the latter are properly individuated based on the peculiar characteristics of urban fabrics. [ABSTRACT FROM AUTHOR]

This comprehensive article explores the global trends in defense acquisition processes, examining key practices in the United States, Canada, Australia, New Zealand, France, Germany, and the United Kingdom. Highlighting the diverse organizational structures and decision-making support systems, the article delves into challenges faced by each nation and strategies implemented for improvement. Drawing insights from the U.S. strategic planning and flexibility, Canada's multidepartmental approach, France's emphasis on innovation, the UK's integrated procurement and support, Germany's technological advancements, New Zealand's collaborative framework, and Australia's adaptability, the article presents a comparative analysis. It underscores the importance of joint capability management, strategic planning, flexibility, and international collaboration. In the context of Georgia, the article provides a glimpse into the current landscape of defense acquisition, focusing on key entities within the Ministry of Defense and their roles in shaping the country's defense acquisition capabilities. The findings underscore opportunities for fostering inter-departmental collaboration, leveraging innovation, optimizing logistical processes, strengthening international partnerships, enhancing personnel training, and fortifying legislative frameworks. Additionally, the study advocates for a structured defense acquisition framework inspired by international best practices, incorporating decision-making support systems, delineating clear acquisition phases, and implementing robust monitoring and evaluation mechanisms. The proposed recommendations aim to guide Georgia towards a more resilient, adaptive, and forward-looking defense posture in the dynamic global security landscape. [ABSTRACT FROM AUTHOR]

Analytical treatment interruptions (ATIs) are widely used to evaluate HIV cure-related research interventions. However, sex partners of cure-related trial participants might be at risk of acquiring HIV during ATIs. Addressing this risk is key to ensuring the continued success of trials involving ATIs and offer greater acceptability across multiple trials sites. In 2022, the Advancing Clinical Therapeutics Globally (ACTG) Network convened a Partner Protections Working Group (PPWG) to update the 2020 HIV transmission risk toolkit developed by Peluso and colleagues. In our review of the original toolkit, we identified new challenges and needs at the participant, partner and study levels, as well as new evidence on measures to address these needs and more advanced ethical thinking on partner protections in HIV cure-related trials with ATIs. Based on these findings, we developed an updated toolkit that will provide trial participants and their partners with better support to address new and unfamiliar situations and protect partners from undue harm. We present this toolkit, make it available as a resource for cure-related trials with ATIs and discuss possible future directions.

Situated within the Ring of Fire and characterized by a tropical climate and high seismic activity, Indonesia is uniquely vulnerable to natural disasters such as floods and landslides. These events pose significant threats to both the population and infrastructure. This study predicts areas exposed to flood and landslide risk by considering various environmental factors related to climate, topography, and land use. The predictive performance of three machine learning models—naïve Bayes, k-nearest neighbors, and random forest (RF)—was evaluated by comparing the AUC, RMSE, and R2 values of each model. Ultimately, the RF model, which demonstrated the highest accuracy, was used to prioritize disaster impact factors and generate hazard maps. The results identified the interaction of rainfall, land use, and slope aspect as the most critical determinants of hazard occurrence. The predicted hazard maps revealed that approximately 26.7 % of the study area was vulnerable to either floods or landslides, with 16.8 % of the area experiencing both. The new capital of Nusantara showed a relatively higher multi-hazard risk than did the overall study area and protected zones, with 22.1 % of the hazard area vulnerable to both flooding and landslides. In single hazard zones, areas classified as at risk for floods had a higher mean probability of experiencing both hazards (43 %), as compared to areas classified as at risk for landslides (22 %). As a result, urban planners and relevant stakeholders can now utilize the hazard maps developed in this study to prioritize infrastructure reinforcement and disaster risk areas, integrating land use planning with risk assessment to mitigate the impact of disasters. By employing these strategies, Indonesia and other countries facing similar challenges can now enhance their disaster preparedness and response capabilities in new capital regions and other areas, ultimately planning for more sustainable urban development.

Vehicles are frequently impacted objects during floods, susceptible to being washed away when the flow velocity and water depth surpass specific thresholds. Thus, understanding the characteristics of vehicle instability in floodwaters is crucial for establishing effective safety guidelines. This paper presents a comprehensive review, delving into previous studies on flooded vehicle stability during flood events and assessing progress in guideline formulation spanning from 2010 to 2023. According to the literature, 78 % of the previous investigations focused on the stability of static vehicles, while only 22 % considered vehicles in motion. Previous studies on vehicle stability during tsunamis have not been well-explored. Moreover, emergency vehicles, including police cars, fire trucks, and ambulances, received little attention and were only considered in two studies. On the other hand, extensive research has been conducted on defining the critical vehicle orientation with respect to incoming flow, which is reported to occur when the flow direction is perpendicular to the longitudinal vehicle axis. However, it is expected that this review will serve as a foundational resource, inspiring researchers to identify areas requiring attention and delve deeper into producing general safety guidelines. The ultimate goal is to prevent fatalities related to flooded vehicles and contribute to the broader field of flood risk mitigation.

Romania is a flood prone country and same are her cities. Pluvial floods can occur in urban or rural areas without a direct connection with river or a water body. As part of the Floods Directive implementation, Romania has identified, in the first cycle, a number of 17 urban areas with a significant pluvial flood risk potential. For every urban area identified, flood hazard and flood risk maps have been developed. Based on this, the present paper tries to present some of the main risk receptors, that could give an insight related to the level of risk at which the urban areas are exposed. What is the quantitative risk profile of this cities, what can be done further to mitigate this risk and are there any other urban areas at risk of pluvial flooding? The present paper seeks to provide an answer at the above questions and present potential solutions for pluvial risk reduction.

The global food supply chain plays an essential role in economic development while addressing environmental and social issues in its business system. However, this complex network is exposed to various risk factors related to sustainability that can disrupt the supply chain performance. CV. XYZ is a food manufacturer that produces jackfruit chips in Indonesia. During the supply chain process, this company needs to manage the various risks across the supplier, manufacturer, and retailer stages. By identifying and evaluating risks at each stage, mitigation and improvement strategies can be proposed. Therefore, this research aimed to analyze the supply chain risk mitigation and performance improvement strategies for maintaining supply chain stability and performance. House of Risk (HOR) was applied to analyze the mitigation strategies, while SWOT with analytical networking process (ANP) or analytical hierarchy process (AHP)/ (i.e., SWOT-ANP/AHP method)was used for analyzing performance improvement strategies by considering the weight of each factor. The result shows that twelve mitigation strategies are needed to mitigate the fourteen risk agents that focus on improving production activities and human resources. Moreover, eleven strategies have been proposed to improve sustainable supply chain performance in the future, focusing more on marketing activities and enhancing human resource capabilities.

Abstract Ramadan fasting (RF) involves abstaining from food and drink during daylight hours; it is obligatory for all healthy Muslims from the age of puberty. Although sick individuals are exempt from fasting, many will fast anyway. This article explores the impact of RF on individuals with kidney diseases through a comprehensive review of existing literature and consensus recommendations. This study was conducted by a multidisciplinary panel of experts. The recommendations aim to provide a structured approach to assess and manage fasting during Ramadan for patients with kidney diseases, empowering both healthcare providers and patients to make informed decisions while considering their unique circumstances.

The shipping industry, grappling with escalating challenges, increasingly adopts Artificial Intelligence (AI) to enhance efficiency, safety, and environmental impact. Experts endorse ship automation and AI implementation for safety, navigation, and operational efficiency in ferry networks. This paper underscores AIS technology's role in maritime safety and environmental protection, emphasizing AI's potential in navigation and knowledge gap bridging. Indonesia, with its numerous islands and significant population, faces complex challenges in ensuring safe maritime transportation. Collaborative efforts among the government, industry, and stakeholders are vital for enhancing safety standards across the archipelago. Despite regulations, Indonesia contends with a high ferry accident rate, prompting the need for preventive measures. The study reviews AI's application in preventing sea accidents, recognizing its contributions and potential effectiveness in maritime safety. Acknowledging challenges like data quality and cybersecurity, the paper emphasizes the necessity of AI development for passenger ship safety. It concludes by highlighting significant research efforts, endorsing AI's promising role in reshaping the industry for improved efficiency and safety. Further exploration of AI applications, particularly in passenger ship safety, is recommended to meet evolving challenges in the maritime sector.

Abstract This research was conducted on industrial agriculture in Indonesia. Risk analysis was carried out based on previous research. One source of risk was obtained, namely raw materials that did not meet specifications, which was then proposed to be mitigated by evaluating supplier performance. This activity involves a lot of data, requiring efficient and effective data storage and access. The level in the simulation layout includes analysing system needs, using problem diagrams, compiling activity diagrams, deciding subprocesses, and filtering information. The analysis is carried out by comparing the use of supply chains with Blockchain and without Blockchain, which is then obtained to determine whether there is an increase. A sequentially stored data scenario describes a situation when the transaction process is in progress and is stored sequentially according to the process that occurs. Storing data in groups explains a problem when a transaction has been completed and stored in groups with similar data, making it easier to track specific data. In this regard, a simulation will be carried out using a website, namely a blockchain demo. The design stage starts with identifying system requirements, creating use case diagrams, compiling activity diagrams, determining subprocesses, and selecting information. The simulation results obtained will be analysed to determine the feasibility of Blockchain as a means of supporting risk mitigation related to data using aspects, including security, trust, traceability, sustainability, and costs.

Coronavirus Disease 2019 (COVID) induces a hypercoagulable state causing an increased risk of venous and arterial thromboses. Distal limb and microvascular circulation are critical to the success of many hand surgeries, and patients who are actively or recently infected with COVID may be at a higher risk for perioperative thrombotic events. Little information is available regarding how to handle actively or recently infected COVID patients, including preoperative risk assessment, intraoperative decision making, and postoperative considerations regarding thrombotic risk. Our aim was to review the literature to determine how the hand surgeon can best prepare for and manage the actively or recently COVID-positive patients undergoing hand surgeries.

Stakeholders in multimodal freight transport encounter significant challenges due to the multitude of unknowns and inherent risks that can adversely affect operations. The subjective nature of the information complicates the identification and assessment of these risks, making them particularly challenging in the context of multimodal transport, where the potential consequences can be substantial. This research intends to provide a comprehensive understanding of the asymmetries in risks associated with multimodal freight transport by identifying and evaluating quantitative hazards. By integrating fuzzy set theory and failure mode and effects analysis (FMEA), the study offers a structured approach to statistically forecast risks, addressing imprecision in traditional risk assessments. Qualitative interviews conducted with multimodal freight transport operators in Thailand reveal critical insights, including the identification of high-priority risks such as delays from regulatory compliance, inadequate infrastructure, and inefficiencies in stakeholder communication. The findings of this study not only highlight these pressing issues but also provide actionable strategies to mitigate risks, thereby enhancing the operational resilience of multimodal freight transport systems.

High-frequency drought hazards have presented persistent challenges for environmental management and sustainable development in the South Hebei Plain, China. In this paper, the assessment of meteorological droughts in the South Hebei Plain was conducted using a multifaceted approach to ensure a comprehensive analysis. Our results demonstrated that distinct timescale cycles, ranging from centennial–semicentennial to interdecadal variations, can be identified over the past few centuries. These cycles aligned with patterns observed in the middle Yangtze basin and corresponded to regional climatic conditions. The drought cycles in the South Hebei Plain showed significant correlations with variations in the monsoon climate, sunspot activity, global changes, and human disturbances. Changes in the frequency, duration, and intensity of droughts have notably impacted hydrological variations. Extreme droughts, in particular, have heightened concerns about their effects on river systems, potentially increasing the risk of channel migration. This study enhanced our understanding of meteorological hazard patterns in the South Hebei Plain and provided valuable insights into different stages of drought management. It thus can offer lessons for improving drought preparedness and resilience and for formulating adaptive measures to mitigate future droughts and promote regional sustainability.

The digitisation of healthcare systems has brought numerous benefits, including improved accessibility, enhanced efficiency and the potential for personalised medicine, ushering in a new era of medical advancements and streamlined patient care. However, alongside these advantages, it has also introduced a host of security and privacy challenges. The widespread adoption of digital technologies in healthcare raises concerns regarding security and privacy. This article explores critical issues surrounding the security and privacy of healthcare data in the digital age, aiming to highlight potential risks and vulnerabilities that arise with the adoption of technology in healthcare. Key security and privacy issues associated with digitisation efforts in healthcare are examined, and potential strategies to mitigate these concerns are discussed. The findings emphasise the importance of implementing robust security measures, ensuring patient privacy and fostering trust in digital healthcare systems. Furthermore, the article delves into the various challenges faced by healthcare organisations, policymakers and stakeholders in safeguarding sensitive medical information. These challenges encompass data breaches, unauthorised access, ransomware attacks and the potential misuse of patient data. Understanding these threats is essential for developing effective strategies to protect patient privacy and maintain data integrity. To address these challenges, the article presents a range of strategies and best practices, including implementing robust encryption measures, adopting multi-factor authentication, establishing secure communication channels and training healthcare professionals to be vigilant against cyber threats. Moreover, the significance of complying with regulatory frameworks, such as the Health Insurance Portability and Accountability Act and the General Data Protection Regulation, is explored to ensure the legal and ethical handling of patient data. By exploring these challenges and presenting practical strategies, this article aims to raise awareness among healthcare professionals and policymakers about the importance of prioritising security and privacy in the digitisation of healthcare systems. Acknowledging and proactively addressing these concerns will enable the healthcare industry to fully harness the potential of digitisation while ensuring the trust and confidence of patients and stakeholders. [ABSTRACT FROM AUTHOR]

One of the many concerns of disaster recovery specialists is how to create disaster recovery scenarios, strategies and related solutions that meet the vision of management while building solutions for the critical business process within budget, with refined technical resources and operational and maintenance processes and procedures similar to those utilised in production. Rather than consider disaster recovery as a separate environment from production, this paper suggests that there are areas where the disaster recovery solution can map more closely to production solutions to better manifest the critical business process, avoiding the decreased sales forecasts and reputational impacts resulting from an outage. There is no magic here — just ideas for designing a solution and enhancements to the disaster recovery programme that may help to meet business expectations. A disaster recovery site based on similar production technical solutions and overall corporate IT vision can provide such benefits as: faster recovery time objective; faster availability of the data while maintaining data integrity; fewer manual procedures during switch/failover; ability to utilise similar resources to work both environments resulting in a smaller training programme; similar operational and maintenance processes and procedures; ability to switchover components rather than declaring disaster recovery; and an environment that supports production by running critical business process while production suffers an outage or requires maintenance. This paper provides readers with ideas to take back to their disaster recovery solution and how it manifests the critical business process during an outage. [ABSTRACT FROM AUTHOR]

In the era of (re)legalisation of medicinal and recreational cannabis, accidental and intentional exposure to edibles, cannabis-infused food products, has increased substantially. However, there is particular concern regarding younger age groups. Most concerning is the increase in hospitalisations. According to a study by Myran et al. (1), provinces in Canada, where the sale of edibles is permitted, saw an increase in paediatric poisonings due to unintentional consumption of edibles. Similar trends have been observed in "legalised states" in the US, such as Colorado (2). The impact of using cannabis at an early age, but particularly the impact of accidental exposure to high THC quantities, may have negative mental or physical health outcomes. Whilst regulatory restrictions vary significantly from one legalised region to another, it is difficult to identify a best practice. The aim of this study is to identify and discuss new and existing risk mitigation strategies to give guidance to policymakers. Furthermore, practical aspects, such as compliance (e.g. audits by authorities), are discussed. It is noted that edibles have been around much longer than recent political attempts to regulate them. [ABSTRACT FROM AUTHOR]

Globally, wildfires are increasing in extent, frequency, and severity. Although global climate change is a major driver and large-scale governance interventions are essential, focusing on governance at smaller scales is of great importance for fostering resilience to wildfires. Inherent tensions in managing wildfire risk are evident at such scales, as objectives and mandates may conflict, and tradeoffs and impacts vary across ecosystems and communities. Our study feeds into debates about how to manage wildfire risk to life and property in a way that does not undermine biodiversity and amenity values in social-ecological systems. Here, we describe a case study where features of adaptive governance emerged organically from a dedicated planning process for wildfire governance in Australia. We found that a governance process that is context specific, allows for dialogue about risk, benefits, and trade-offs, and allows for responsibility and risk to be distributed amongst many different actors, can provide the conditions needed to break down rigidity traps that constrain adaptation. The process enabled actors to question whether the default risk management option (in this case, prescribed burning) is aligned with place-based risks and values so they could make an informed choice, built from their participation in the governance process. Ultimately, the community supported a move away from prescribed burning in favor of other wildfire risk management strategies. We found that the emergent governance system has many features of adaptive governance, even though higher level governance has remained resistant to change. Our study offers positive insights for other governments around the world interested in pursuing alternative strategies to confronting wildfire risk [ABSTRACT FROM AUTHOR]

Integrating both proactive and reactive risk-mitigation mechanisms, this research constructs a bi-level network design problem for hazardous materials (hazmats) to regulate the carriers' use of roads, such that the environmental impact is minimized. In more detail, by embedding the emergency response time into the risk assessment, the locations of hazmat response teams are determined along with toll schemes, road closures, and new road constructions. The uncertainties of demand, including differences in the number of shipments, origin/destination changes, and amount variations, are also taken into account by applying a scenario-based approach. The proposed bi-level model is first solved optimally by a single-level reformulation, and then by a three-stage heuristic method for larger instances. Through numerical experiments on a real-world road network in Nanchang, a city in China, a set of management insights are derived to facilitate policy-making in regulating hazmat transportation. [ABSTRACT FROM AUTHOR]

• Reviewed health and safety hazards associated with wearable robots. • Identified 36 relevant health and safety hazards. • Found 22 strategies for preventing or reducing the impact of hazards were identified. • Proposed seven themes to guide future research. Introduction: The construction industry is tormented by a high rate of work-related musculoskeletal disorders (WMSDs) and flat or declining productivity rates. To improve construction workers' safety, health, and productivity, construction researchers and practitioners are investigating the safe implementation of exoskeletons. However, concern exists that these human-robot interactions (HRI) could amplify the effects of existing health and safety risks and lead to new health and safety risks. Only a few comprehensive studies have identified safety and health hazards inherent in using exoskeletons within construction trades and potential strategies for mitigating these threats. This study attempts to bridge this gap. Method: A literature search was conducted using electronic databases. The authors relied on a 5-step scoping review process to examine academic publications, industry reports, and fact sheets to generate helpful information for this study. Results: The review revealed 36 health and safety hazards associated with using wearable robots in high-risk construction trades. Twenty-two organizational and field-facing strategies were introduced as potential controls to mitigate the identified hazards. Conclusions: The study provided a knowledge-based foundation for HRI safety risk assessment and guidance to optimize pre-task planning. This foundation could lead to significant advances in construction trade safety and the successful execution of tasks by robotic technology. Practical Applications: Results from the present study can guide construction practitioners and safety professionals involved in technology integration and safety risk assessment on safe ways to implement wearable robots. Moreover, the present study provides critical insight that could inform the design and implementation of job hazard analysis and shape continuous education programs and safety training. This study prompts policymakers, standard developers, and exoskeleton manufacturers to work closely to ensure a safe future for exoskeletons in the construction industry. [ABSTRACT FROM AUTHOR]

This paper presents the cloud vendor lock-in prediction framework (CVL), which aims to address the challenges that arise from vendor lock-in in cloud computing. The framework provides a systematic approach to evaluate the extent of dependency between service providers and consumers and offers predictive risk analysis and detailed cost assessments. At the heart of the CVL framework is the Dependency Module, which enables service consumers to input weighted factors that are critical to their reliance on cloud service providers. These factors include service costs, data transfer expenses, security features, compliance adherence, scalability, and technical integrations. The research delves into the critical factors that are necessary for dependency calculation and cost analysis, providing insights into determining dependency levels and associated financial implications. Experimental results showcase dependency levels among service providers and consumers, highlighting the framework's utility in guiding strategic decision-making processes. The CVL is a powerful tool that empowers service consumers to proactively navigate the complexities of cloud vendor lock-in. By offering valuable insights into dependency levels and financial implications, the CVL aids in risk mitigation and facilitates informed decision-making. [ABSTRACT FROM AUTHOR]

The current digital era forces all parties to make changes an transformations, including the government. Tha government in its services continues to transform following the times from what was originally a face-to-face service and came directly or what is commonly referred to as offline (outside the network) to transform into online services (in the network) using only electronic media such as computers, laptops, and cellphones. Digital transformation has several risks that can occur, suc as data leakage, data abuse, account abuse, and so on. This study aims to determine Government Service from legal aspects and Digital Risk Mitigation. This study used a qualitative research method with a descriptive approach, while the data collection technique was carried out by means of a literature study through exploration of journals, books, laws and other information relevant to the study. The results of the research show that the legal aspect in the implementation of government services in Indonesia is the need for prenventive legal protection as a prevention of various risks. One of them is Article 28G paragraph (1) of the 1945 Constitution of the Republic of Indonesia. Meanwhile, in terms of mitigating the risk of digital transformation in government services, it is the standardization of information security on official ICT devices to avoid or minimize the risk of blood leakage, abuse data, as well as account abuse. [ABSTRACT FROM AUTHOR]

Access to healthcare in the United States is drastically changing. The governmental response to the coronavirus greatly upended our ways of business. Rationing care damaged trust, instilled hesitancy for treatments and prevention, and functionally introduced medical deserts to poor and rural areas. The response by the practitioners was positive - empowering nurses, physician associates, and pharmacists to perform most patient-facing functions. This paper focuses on community care, primarily by nurse practitioners, where practitioners provide primary care and urgent care near or in existing pharmacies and supermarkets, building on relationships and convenience, thus maximizing patient access and mitigating risks. [ABSTRACT FROM AUTHOR]

Background: Healthcare-associated infections pose a substantial threat to the quality of healthcare services. Consequently, it is imperative for hospital organizations to actively support an infection prevention climate, fostering workplace safety and risk mitigation, thereby promoting patient-centered care. Purpose: This study aims to explore the interconnectedness between the infection prevention climate, workplace safety, risk mitigation, and patient-centered care. Methods: A cross-sectional study design was employed, utilizing a questionnaire administered to 235 healthcare professionals in intensive care and inpatient units at Bandung Kiwari Regional General Hospital. Data analysis was conducted using partial least squares structural equation modeling (PLS-SEM) with SmartPLS 4 and SPSS 25. Results: The study revealed several significant relationships, including (1) between infection prevention climate and patient-centered care; (2) infection prevention climate and workplace safety; (3) workplace safety and patient-centered care; (4) infection prevention climate and patient-centered care mediated by workplace safety; (5) infection prevention climate and risk mitigation; (6) risk mitigation and patient-centered care; (7) and the relationship between infection prevention climate and patient-centered care mediated by risk mitigation. Conclusion: Infection prevention climate emerges as a crucial intangible value that hospital organizations can cultivate to shape workplace safety. This, in turn, encourages healthcare workers' compliance in implementing infection prevention controls as a form of risk mitigation, ultimately contributing to the provision of patient-centered care. [ABSTRACT FROM AUTHOR]

Prevailing and exacerbating impacts of climate change call for robust and resilient humanitarian supply chains (HSCs). To that end, intelligent technologies that brought about the Industry 4.0 (I4.0) revolution, such as the Internet of Things, blockchain, and artificial intelligence, may tremendously impact the optimal design and effective management of HSCs. In this paper, we conduct a systematic literature network analysis and identify trends in I4.0 and HSCs. We posit the need to instill into current HSC efforts the quadruple bottom-line (cultural, economic, environmental, and social) pillars of sustainability and define a Sustainable Humanitarian Supply Chain (SHSC). Based on the extant literature and ongoing practice, we highlight how I4.0 technologies can aid SHSC stages from disaster risk assessment to preparedness to response to relief. The complex nature of SHSCs requires a holistic and multidisciplinary approach and collaboration by scholars, policymakers, and industry practitioners to pool solution resources. We offer future research venues in this fledgling but life-saving scientific discipline. SHSCs can be empowered with I4.0 technologies, a much needed direction in our climate-changed world. [ABSTRACT FROM AUTHOR]

Amidst the current wave of digitalization and the realization of the “dual-carbon” goal, the question of whether the digital transformation of enterprises (EDT) can drive green innovation (GI) and accelerate industrial enterprises to enter the sustainable and high-caliber advancement track has attracted much attention from academia and practitioners. Drawing on data collected from 1750 industrial enterprises listed publicly between 2011 and 2020, this paper seeks to examine the impact of EDT on GI (including technology, management, and process). It is found that: (1) EDT significantly improves the GI of industrial enterprises, and the marginal effect of this impact is reflected in green technology innovation (GTI) > green process innovation (GPI) > green management innovation (GMI). (2) EDT can promote GI through the factor reconstruction effect and risk mitigation effect. In addition, global network correlation can reinforce the positive effect of EDT on GI. (3) Further analysis shows that the GI incentive effect of EDT mainly comes from digital realization, followed by digital concept and digital support. (4) The heterogeneity analysis indicates that EDT has a significant effect on driving GI in the dual pilot cities of “innovation” + “low-carbon”. For heavily polluting industrial enterprises, EDT does not contribute to GI promotion in an obvious manner. [ABSTRACT FROM AUTHOR]

The textile supply chains (TSCs) are exposed to unprecedented risks which can disrupt the sustainable process of the manufacturing industries. It is necessary to analyze the impact of risks and to create reliability in the end-to-end supply chain. The aim of this research is to identify the supply chain reliability (SCR)-related risks and proposed a risk mitigation model based on a systematic toolkit of strategies for handling the risks. For this purpose, a total of 10 key SCR-related risks have been recognized and prioritized using a detailed review of the literature and industrial expert's opinions. A risk mitigation methodology is presented for improving SCR through its relevant criteria, i.e. risks factors, based on the intensity of importance. This study focuses in determining and evaluating the key potential risks through the blend of mathematical multi-criteria decision-making (MCDM) methods namely fuzzy FMEA, fuzzy AHP, fuzzy TOPSIS, and sensitivity analysis. This study develops a novel approach for objectively projecting future supply chain risks that can be managed timely in achieving SCR. This study also contributed to fill the existing literature gap for prioritization of key risks in the TSCs. The results highlight how postponement in supply chain risks is identified as highly prioritized whereas, manufacturing risks are ranked as second highly prioritized, and disruption risk is ranked as the last one. The concerned stakeholders can adopt the proposed structured methodology as a way forward in formulating risk mitigation strategies and tackling the SC risks in achieving the optimal level of supply reliability. [ABSTRACT FROM AUTHOR]

The medieval town of San Leo and its fortress have been classified as a "settlement to be consolidated", following the Italian law. They rise on a rocky, steep cliff that is prone to failure, as well as the entire area surrounding the cliff is subject to slope instability phenomena. Over the past seventy years, a series of consolidation works have been conducted on the rock walls. These interventions focused mainly on the south face, where the town and its access road are located, and on the east face, particularly in the area where the fortress is situated. Since the 1980s, efforts to reduce the risk have also focused on the base of the cliff with the aim to prevent its erosion and undermining. The latter is considered the cause of major rock failures, such as the landslide that occurred in 2014. Despite past interventions, however, landslide risk in the San Leo cliff still remains high. The slope failure of 2014 marks a dividing line: after that a comprehensive multidisciplinary study was started. The study involved different investigation and monitoring techniques in order to understand, prevent, and reduce landslide risk. The in-depth knowledge gained through this study was crucial in managing the emergency after the collapse, providing the essential elements for defining risk scenarios and for planning and designing interventions to reduce risk after the emergency phase. These interventions were carried out on the north face of the cliff, where the main landslide occurred in 2014, but also the east and south faces. [ABSTRACT FROM AUTHOR]

The snake fruit processing company UD Salacca faces several challenges in its snake fruit processing activities, including people, machines, methods and the environment. The aim of this research is to identify the challenges faced by UD Salacca in snake fruit production. The risk management method used in this research follows the ISO 31000:2008 guidelines using the House of Risk (HOR) Model, which includes steps for risk identification, risk analysis, risk evaluation, and risk management. 22 risk events (risk factors) have been identified from 9 process activities and 17 risk agents (risk causing factors), of which there are 5 high priority risk causes. The causes of this risk include the mixing process taking less than three hours, weather and pest factors, not being careful when loading, and not being careful in the sorting process using traditional grinding equipment. From the research results, 18 proposed mitigation strategies were found from 9 process activities. Some of the strategies proposed include the use of machines in the ripening process, the use of tools to peel snake fruit, the use of personal protective equipment when working, supervision and implementation of work operational standards during harvest, and the use of assessment checklists when sorting snake fruit. Early handling strategies are needed by salacca businesses to anticipate major risks. These results can be used to increase the company's effectiveness in handling risk management. [ABSTRACT FROM AUTHOR]

Context: Due to water scarcity, wastewater is used in agriculture in peri-urban areas. Aims and Settings: We aimed to assess the hazards associated with wastewater farming and develop an incremental improvement plan for the sanitation system of wastewater use for agriculture using Sanitation Safety Planning (SSP) in Bangalore urban district, India. Methods: Interviews and observations were conducted among 100 farmers in the Mugalur Gram Panchayat area. Results: Direct ingestion and ingestion after contact with wastewater due to inadequate hand hygiene are the routes of contact with wastewater. The control measures followed in the community are the cultivation of crops, which do not have direct contact with wastewater, furrow and drip irrigation, and restricted irrigation. Methods to mitigate the hazards are the provision of interval between final irrigation and consumption,washing of produce with freshwater before transportation to market, and hygienic cooking. Conclusion: Occupational hazards and risks associated with wastewater farming can be mitigated through the adoption of locally acceptable preventive measures. [ABSTRACT FROM AUTHOR]

Objective: To analyze the effect of wind gusts on the root plate inclination in urban trees and to identify the dendrometric variables that most interfere with the trees' response regarding the root plate inclination in order to contribute to the management of urban planning aimed at sustainable cities. Methodology: The inclination data was collected by Tree Motion Sensors (TMS), which record the actual inclination of the tree root plate. The maximum and average slope and the number of slope occurrences were related to the maximum wind gust and the dendrometric characteristics of the trees. Originality/Relevance: The Urban Forest is fundamental for improving the environmental and housing quality of cities. However, trees encounter stressful conditions in the urban environment which can compromise their structure and stability, increasing the risk of falling. Research that analyzes the effects of loads exerted by natural elements on urban trees can provide relevant information for predicting fall risks. Results: Wind was the factor responsible for approximately 51% of the occurrences of root plate tilting and most of the trees showed a tendency to sway in a southwest/northeast direction. Lagerstroemia speciosa (L.) Pers. was the species with the greatest inclination angle. DBH and crown diameter were the variables which showed a significantly strong correlation with root plate inclination. Contributions to management: These results can help to develop preventive measures against tree falls, contributing to the effective management of urban forestry in order to establish more sustainable and resilient cities, so as to support sustainability actions applied to urban planning. [ABSTRACT FROM AUTHOR]

Diabetes is the leading cause of chronic kidney disease (CKD) and kidney failure worldwide. CKD frequently coexists with heart failure and atherosclerotic cardiovascular disease in the broader context of cardio-kidney-metabolic syndrome. Diabetes and CKD are associated with increased risk of all-cause and cardiovascular death as well as decreased quality of life. The role of metabolic and hemodynamic abnormalities has long been recognized as an important contributor to the pathogenesis and progression of CKD in diabetes, while a more recent and growing body of evidence supports activation of both systemic and local inflammation as important contributors. Current guidelines recommend therapies targeting pathomechanisms of CKD in addition to management of traditional risk factors such as hyperglycemia and hypertension. Sodium-glucose cotransporter-2 inhibitors are recommended for treatment of patients with CKD and type 2 diabetes (T2D) if eGFR is ≥20 ml/min/173 m2 on a background of renin-angiotensin system inhibition. For patients with T2D, CKD, and atherosclerotic cardiovascular disease, a glucagon-like peptide-1 receptor agonist is recommended as additional risk-based therapy. A non-steroidal mineralocorticoid receptor antagonist is also recommended as additional risk-based therapy for persistent albuminuria in patients with T2D already treated with renin-angiotensin system inhibition. Implementation of guideline-directed medical therapies is challenging in the face of rapidly accumulating knowledge, high cost of medications, and lack of infrastructure for optimal healthcare delivery. Furthermore, studies of new therapies have focused on T2D and CKD. Clinical trials are now planned to inform the role of these therapies in people with type 1 diabetes (T1D) and CKD. [ABSTRACT FROM AUTHOR]

According to the Institute for Safe Medication Practices, unfractionated heparin is a high-risk medication due to the potential for medication errors and adverse events. Unfractionated heparin is often started in the emergency department for patients with acute coronary syndromes or coagulopathies. Risk-mitigation strategies should be implemented to ensure appropriate initiation and monitoring of this high-risk medication. In 2019, an unfractionated heparin calculator was built into the electronic health record at a community medical center. The purpose of this study was to evaluate the impact of the calculator as a risk-mitigation strategy. Patients ≥18 years old admitted between January 1, 2020, and December 31, 2020, were included if they were administered an unfractionated heparin infusion in the emergency department. Patient encounters were excluded if unfractionated heparin order was discontinued before administration. Patient encounters were classified into the unfractionated heparin calculator arm if the unfractionated heparin calculator was used to determine initial dosing, and the remaining patient encounters were classified into the unfractionated heparin no calculator arm. Unfractionated heparin orders were reviewed if a baseline activated partial thromboplastin time was collected and if the correct initial bolus dose and infusion rate were administered. The primary objective is to determine whether the use of unfractionated heparin initiation calculator reduced the rate of medication administration errors. Medication administration errors are defined as baseline activated partial thromboplastin time not collected or incorrectly collected or the administration of incorrect initial bolus dose and infusion rate. A total of 356 patient encounters with unfractionated heparin orders were included in the primary analysis. There were 13.9% errors (39 of 279) present when the calculator was used and 23.3% (18 of 77) when the calculator was not used (P =.046). There was 86% correct administration of heparin (240 of 279) when the calculator was used and 76% correct administrations (59 of 77) when the calculator was not used. The use of the unfractionated heparin infusion calculator in the emergency department led to decrease in medication administration errors. This is the first study to evaluate the integration of an unfractionated heparin calculator into the electronic health record. [ABSTRACT FROM AUTHOR]

This study investigated the relationship between Business Risk Management (BRM) ideology and the entrepreneurial development of students in tertiary institutions within Southwestern Nigeria. A quantitative research design was employed, with data collected from a sample of 1918 students across five federal universities in the region. The research instrument was a structured questionnaire designed to gather information on risk identification, risk assessment and evaluation, risk mitigation and control strategies, entrepreneurial intentions, self- efficacy, and entrepreneurial behavior. The findings suggest a positive relationship between BRM ideology and the entrepreneurial development of students. Specifically, risk identification was found to significantly influence entrepreneurial intentions (p < 0.01) and self- efficacy (p < 0.05). Risk assessment and evaluation also demonstrated a significant positive impact on entrepreneurial intentions (p < 0.01), self- efficacy (p < 0.01), and entrepreneurial behavior (p < 0.05). Additionally, risk mitigation and control strategies were found to significantly contribute to entrepreneurial intentions (p < 0.01), self-efficacy (p < 0.01), and entrepreneurial behavior (p < 0.01). These findings highlight the importance of integrating BRM education into the curriculum of tertiary institutions in Southwestern Nigeria. By equipping students with the knowledge and skills to identify, assess, and mitigate potential risks, they are better prepared to navigate the challenges and uncertainties inherent in entrepreneurial ventures. This, in turn, can contribute to the growth of a vibrant and resilient entrepreneurial ecosystem in the region. [ABSTRACT FROM AUTHOR]

High levels of lipoprotein(a) [Lp(a)] are causal for atherosclerotic cardiovascular disease (ASCVD). Lp(a) is the most prevalent inherited dyslipidemia and strongest genetic ASCVD risk factor. This risk persists in the presence of at target, guideline-recommended, LDL-C levels and adherence to lifestyle modifications. Epidemiological and genetic evidence supporting its causal role in ASCVD and calcific aortic stenosis continues to accumulate, although various facets regarding Lp(a) biology (genetics, pathophysiology, and expression across race/ethnic groups) are not yet fully understood. The evolving nature of clinical guidelines and consensus statements recommending universal measurements of Lp(a) and the scientific data supporting its role in multiple disease states reinforce the clinical merit to start population screening for Lp(a) now. There is a current gap in the implementation of recommendations for primary and secondary cardiovascular disease (CVD) prevention in those with high Lp(a), in part due to a lack of protocols for management strategies. Importantly, targeted apolipoprotein(a) [apo(a)]-lowering therapies that reduce Lp(a) levels in patients with high Lp(a) are in phase 3 clinical development. This review focuses on the identification and clinical management of patients with high Lp(a). Specifically, we highlight the clinical value of measuring Lp(a) and its use in determining Lp(a)-associated CVD risk by providing actionable guidance, based on scientific knowledge, that can be utilized now to mitigate risk caused by high Lp(a).

Forest disturbances challenge our ability to carefully plan for sustainable use of forest resources. As forest disturbances are stochastic, we cannot plan for the disturbance at any specific time or location. However, we can prepare for the possibility of a disturbance by integrating its potential intensity range and frequency when developing forest management plans. This study uses stochastic programming to integrate wind intensity (wind speed) and wind event frequency (number of occurrences) into the forest planning process on a small coastal Finnish forest landscape. We used a mechanistic model to quantify the critical wind speed for tree felling, with a Monte Carlo approach to include wind damage and salvage logging into forest management alternatives. We apply a stochastic programming model to explore two objectives: maximizing the expected forest net present value or maximizing the even-flow of income. To assess the effects of improper wind risk assumptions in planning, we compare the results when optimizing for correct versus incorrect wind intensity and frequency assumptions. When maximizing for net present value, the impacts of misidentifying wind intensity and frequency are minor, likely due to harvests planned immediately as trees reach maturity. For the case when maximizing even-flow of income, incorrectly identifying wind intensity and frequency severely impacts the ability to meet the required harvest targets and reduces the expected net present value. The specific utility of risk mitigation therefore depends on the planning problem. Overall, we show that incorporating wind disturbances into forest planning can inform forest owners about how they can manage wind risk based on their specific risk preferences.

Introduction: Hypoglycemia has long been recognized as a dangerous adverse effect of the treatment of diabetes mellitus with insulin or insulin secretagogues. Objective: Our study was aimed to identify the number of diabetic patients presenting to the emergency department (ED) with hypoglycemia, contributing risk factors for hypoglycemia (including antidiabetic medication regimens), the number of episodes of hypoglycemia requiring medical attention, and how many patients were prescribed glucagon at discharge. Study design: Our study is a retrospective analysis across two hospitals from October 2019 to March 2022, including the population of adult persons with diabetes mellitus, above 18 years of age, presenting to the emergency department with hypoglycemia. Results: Of the women were 2 African Americans, 25 Caucasians, 17 Hispanics, and 39 from other ethnicities. Of the men were 8 African Americans, 32 Caucasians, 27 Hispanics, and 44 from other ethnicities. The mean age of males was 66.2 years, and females was 72.9 years. 131 patients had no prior visits for hypoglycemia. Of the 194 patients, 54 were discharged from the ED, and 140 were admitted to the hospital. The most common risk factors associated with hypoglycemia requiring medical attention were age > 65, having more than one comorbidity, decreased oral intake, and poor socioeconomic status. Regarding recurrent presentations with hypoglycemia, there was a significant association with insulin use (p-value = 0.0007), with a higher-than-expected number of insulin users having a previous visit for hypoglycemia. Only 16.7 % of non-insulin-using patients had prior visits, compared to 40.6 % of insulin users. Pairwise Chi-square testing did not reveal a significant association between any other medication class and prior visits for hypoglycemia, nor was there an association between risk factors and prior visits. To obtain optimal glycemic control, early identification of hypoglycemia risk factors, self-monitoring of blood glucose, and proper selection of anti-diabetic regimens are important to prevent long-term complications. Conclusion: Unfortunately, the three elements that would prevent subsequent severe hypoglycemic events (i.e., education, adjustment of medication, and glucagon prescription) are underutilized. Hypoglycemia is more common in the elderly population which remains an unmodifiable risk factor. Identifying patients with persistent poor oral intake is extremely important as they may be prone to hypoglycemic episodes on their current anti-diabetic regimen and will need medication adjustments accordingly. Our future research focuses on whether giving glucagon prescriptions to patients with diabetes mellitus at discharge prevents recurrent ED visits for hypoglycemia.

With higher autonomy in maritime systems, tasks and responsibilities are moved from the human operator to software, increasing the complexity and the importance of safe and reliable functionality. Software failures, however, may be introduced from the early life cycle phases intentionally or unintentionally, and these must therefore be mitigated by safe and secure design approaches. A challenge is that existing methods are not particularly well-suited for analyzing software risks. Thus, the objective of this paper is to propose a systematic and efficient software failure identification approach by extending the Systems-Theoretic Process Analysis (STPA) with a software failure taxonomy and the System Modeling Language (SysML). This enables the control structure in STPA to cover both the dynamic and static aspects of the software functions. Combined with an implementation platform independent questionnaire, this gives a more systematic and guided search for potential software failures than existing approaches. To demonstrate the proposed approach, a case study on a ferry's navigation system that operates in manual control or semi-autonomous mode is performed. In the case study, the focus is on creating an avoidance map data structure, including both moving and static obstacles to be avoided by the ferry, and the subsequent process of collision risk warning calculation. Software failures are identified and evaluated in collision scenarios where the ferry operates under foggy conditions. The paper shows that the proposed systematic approach provides an improved process for identifying and analyzing critical software failures. This facilitates enhanced risk mitigation in the design and testing phases contributing to autonomous systems' safety and security.

The Central Lampung Regency is the center of cassava production in Lampung Province, the Indonesia’s largest cassava-producing province. Cassava has much promise; however, various risks arise throughout the value chain. Risks in the agricultural sector, including cassava farming, are unavoidable and severely impact stakeholders and consumers. This study aimed to identify the risks and the most effective mitigation measures for the cassava value chain. This research was conducted using the House of Risk (HOR) method, divided into two phases: HOR 1 and HOR 2. It involved 286 samples encompassing 263 farmers, six traders, three tapioca industries, eight non-tapioca industries, and six financial institutions. The risks were determined through the Supply Chain Operational Reference (SCOR) model. The results unveiled several priority risks in the cassava value chain, consisting of unpredictable weather changes, scarcity of fertilizers, the absence of farming standards, limited capital, delivery technical problems, price fluctuations, negligence of the workforce, default credit, and lack of customer or farmer knowledge leading to confusion. Furthermore, the risk mitigation actions covered preventing the risks of cassava farming; applying appropriate technology; utilizing production, marketing, and financing system assistance; preventing the risks of cassava trading business; implementing a structured market system; developing access to financing, institutions, and markets; developing marketing infrastructure; developing adaptive farming; monitoring during the credit period; socializing risk management to employees; and providing institutional, financing, and production assistance.