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The construction industry is one of the hazardous industries all over the world. There have been continuous safety efforts on post-facto safety investigations and related corrective actions. However, to prevent future accidents, post-facto reports may not be able to provide comprehensive insights. Also, past literature pointed at limited proactive efforts to measure the current level of safety at the project. Therefore, this study introduced a leading indicator-based Jobsite safety inspection (JSI) method to measure the project's safety performance. A total of 781 observations were reported in baseline and follow-up JSI on a real construction site. The study's findings highlighted an increase in safe behavior and conditions (SB&C) by reducing unsafe behavior (UB) and unsafe conditions (UC). Results confirmed the significant improvement in the safety performance index (SPI) of the case study from 39.07% to 67.47%. This study also investigated hazardous locations and weak safety dimensions for further SPI improvement.

Neurodegenerative disorders (NDs) are highly prevalent among the aging population. It affects primarily the central nervous system (CNS) but the effects are also observed in the peripheral nervous system. Neural degeneration is a progressive loss of structure and function of neurons, which may ultimately involve cell death. Such patients suffer from debilitating memory loss and altered motor coordination which bring up non-affordable and unavoidable socio-economic burdens. Due to the unavailability of specific therapeutics and diagnostics, the necessity to control or manage NDs raised the demand to investigate and develop efficient alternative approaches. Keeping trends and advancements in view, this report describes both state-of-the-art and challenges in nano-biotechnology-based approaches to manage NDs, toward personalized healthcare management. Sincere efforts are being made to customize nano-theragnostics to control: therapeutic cargo packaging, delivery to the brain, nanomedicine of higher efficacy, deep brain stimulation, implanted stimulation, and managing brain cell functioning. These advancements are useful to design future therapy based on the severity of the patient's neurodegenerative disease. However, we observe a lack of knowledge shared among scientists of a variety of expertise to explore this multi-disciplinary research field for NDs management. Consequently, this review will provide a guideline platform that will be useful in developing novel smart nano-therapies by considering the aspects and advantages of nano-biotechnology to manage NDs in a personalized manner. Nano-biotechnology-based approaches have been proposed as effective and affordable alternatives at the clinical level due to recent advancements in nanotechnology-assisted theragnostics, targeted delivery, higher efficacy, and minimal side effects.

Purpose Based on the experience of biodosimetry laboratories during the COVID-19 pandemic, the purpose of this paper is to describe the challenges of providing biodosimetry service in the event of a major radiation incident during a pandemic. This includes describing some of the preparations and planning made by biodosimetry laboratories and special challenges in maintaining a state of readiness while adhering to safety protocols and balancing the need to assist with the COVID-19 response where possible. Experiences of several biodosimetry laboratories will be described and lessons learned will be outlined that could be applied to any large population-scale emergencies. Conclusions There are many challenges that arise when maintaining capacity and capabilities for biodosimetry when faced with a global pandemic such as COVID-19. The key is to be prepared for anything within reason. This includes, but is not limited to, maintaining flexibility, shifting and reorganizing deployment of staff between pandemic response and biodosimetry needs, strengthening networks to be able to provide assistance to other laboratories, managing staff in the face of possible infections and preparing protocols for the handling of potentially infected biological samples according to regulatory requirements. By implementing these recommendations, international biodosimetry networks can be prepared to address large-scale radiological incidents within the context of a pandemic and ensure the safety of biodosimetry personnel as well as victims in such dual emergencies.

An increasing body of literature suggests that aerosol inhalation plays a primary role in COVID-19 transmission, particularly in indoor settings. Mechanistic stochastic models can help public health professionals, engineers, and space planners understand the risk of aerosol transmission of COVID-19 to mitigate it. We developed such model and a user-friendly web application to meet the need of accessible risk assessment tools during the COVID-19 pandemic. We built our model based on the Wells-Riley model of respiratory disease transmission, using quanta emission rates obtained from COVID-19 outbreak investigations. In this report, three modelled scenarios were evaluated and compared to epidemiological studies looking at similar settings: classrooms, weddings, and heavy exercise sessions. We found that the risk of long-range aerosol transmission increased 309-332% when people were not wearing masks, and 424-488% when the room was poorly ventilated in addition to no masks being worn across the scenarios. Also, the risk of transmission could be reduced by ∼40-60% with ventilation rates of 5 ACH for 1-4 h exposure events, and ∼70% with ventilation rates of 10 ACH for 4 h exposure events. Relative humidity reduced the risk of infection (inducing viral inactivation) by a maximum of ∼40% in a 4 h exposure event at 70% RH compared to a dryer indoor environment with 25% RH. Our web application has been used by more than 1000 people in 52 countries as of September 1st, 2021. Future work is needed to obtain SARS-CoV-2 dose-response functions for more accurate risk estimates.

Reverse logistics has grown in importance with the increase in environmental sustainability issues. However, reverse logistics is often associated with complex and difficult uncertainty issues, the...

Diabetes-related technology has undergone great advancement in recent years. These technological devices are more commonly utilized in the type 1 diabetes population, which requires insulin as the primary treatment modality. Available devices include insulin pumps, continuous glucose monitors, and hybrid systems referred to as automated insulin delivery systems or hybrid closed-loop systems, which combine those two devices along with software algorithms to achieve advanced therapeutic capabilities, including automatic modulation of insulin delivery based on sensor-derived glucose levels to minimize abnormal glucose trends. Use of diabetes technology is associated with significant positive health and psychosocial outcomes, yet utilization rates are generally lacking across both adult and pediatric type 1 diabetes populations in the United States and other countries. There are consistent themes in existing barriers to technology uptake reported by individuals with type 1 diabetes or parents of children with type 1 diabetes, including physical burdens associated with wearing the devices, concerns in navigating the technology and the devices’ abilities to meet user expectations, high cost, inadequate resources within the healthcare team to support device use, disparities in technology access, and psychosocial barriers. It is important to understand the common barriers to uptake of not only the automated insulin delivery systems but also their component devices (insulin pumps and continuous glucose monitors) to fully support individuals in utilizing these devices and optimizing health benefits. The purpose of this article is to summarize the current automated insulin delivery devices that are available for use in management of type 1 diabetes, review common barriers to uptake of those systems and their component devices, and provide expert opinion on existing and future solutions to identified barriers.

The design of a supply chain network (SCN) should address two conflicting objectives, i.e. inexpensive yet reliable operation. This paper presents models to choose supply facilities and determine distribution options while considering the expected risk of not serving customers attributed to supply shortages. The goal is to design a reliable network with a lower cost under traditional cost objectives. We formulate a stochastic mixed-integer biobjective programming model considering the protection of facilities and solve this problem with a progressive hedging algorithm (PHA). We examine the tradeoff curve between the cost and risk through a case study involving Shanghai in China. The results indicate that substantial improvements in reliability can be reached with a limited increase in the total cost.

In this study, the risk of collision and grounding accidents on bulk carrier and general cargo ships was investigated. A comprehensive risk analysis consisting of past accident reports, fault tree ...

The discouragingly high rates of attrition in drug development, and in particular in Phase 2, warrant a closer look at the decision criteria applied for investment in the next phase (Phase 3). We have in this article evaluated Stop/Go criteria after Phase 2, based on a model encompassing both Phase 2 and 3, as well as the eventual outcome on the market. The results indicate that the value of a drug project is often maximized if rather liberal decision criteria are applied. The routine adherence to standard criteria, e.g. requiring significance at 5% level, may lead to an unduly high rate of false negative decisions. This might ultimately hamper the productivity of drug development and leading to potentially useful drugs not being taken forward to benefit the intended patients.

The long-term quality assurance of bridges demands an adequate quality control plan detailing the main required activities and assessment tools. This paper presents the application of a quality control plan on two existing reinforced concrete bridges located in Portugal and North Macedonia. Based on the available results from visual inspections and non-destructive tests, defects and corresponding damage processes were identified. The structural safety of the case studies was assessed by means of a reliability index considering the identified damages. The reliability index computation was supported by a nonlinear finite element analysis. The computed reliability index that reflects the actual (‘today’) bridge condition was used as the base information in the preparation of possible maintenance scenarios. Three different maintenance scenarios were considered, namely, the improvement (corrective scenario), reduction (do nothing and rebuilt scenario), or delay in the reduction (preventative scenario) of the performance of the structure. By comparison of normalised net present values of the key performance indicators (reliability, safety, availability and costs), the most appropriate scenarios are found., This work was partly financed by: (i) national funds through FCT - Foundation for Science and Technology, under grant agreement ‘PD/BD/143142/ 2019’ and ‘PD/BD/143003/2018’ attributed to the 1st and 2ndauthor, respectively; and (ii) FCT/MCTES through national funds (PIDDAC) under the R&D Unit Institute for Sustainability and Innovation in Structural Engineering (ISISE), under reference UIDB/04029/2020.

This paper demonstrates a quantitative risk analysis (QRA) approach of fire-induced damage to the reinforced concrete linings in roadway tunnels. Large fire events associated with buses and heavy g...

With the advances in Polygonatum research, there is a huge interest in harnessing the valuable functional ingredients of this genus with the potential for functional foods. This review emphasizes the different aspects of Ploygonatum based research starting from its bioactive compounds, their structural characterization, various extraction methods, as well as biological activities. In view of its integral use as an essential medicinal plant, our review emphasizes on its promising food applications both as an ingredient and as a whole food, and its improved health benefits with potential for agricultural and environmental relevance are also discussed. As we collated the recent research information, we present the main challenges and limitations of the current research trend in this area which can upgrade the further expansion of Polygonatum-related research that will strengthen its economic and accessible nutritional value in the food and health industries. By highlighting the need for the unattended species, this review not only fills existing research gaps, but also encourages the researchers to find new avenues for the natural production of bio-based functional materials and the development of highly functional and health-promoting foods for disease prevention and treatment.

Due to the progressive aging of existing infrastructures and insufficient investment in their maintenance, the backlog of maintenance work is growing steadily. Consequently, the identification of m...

While it is widely agreed that automated and autonomous vehicles may provide safety benefits over vehicles with lower level or no automation, due to other road users there will still likely be situations where a collision is unavoidable. What should a vehicle that is operating autonomously do when it has no choice but to have a collision? And who should decide which vehicle manoeuvre is the most acceptable? These situations create moral dilemmas requiring consideration of the most acceptable and moral action of the vehicle. In this paper we explore current research in this domain and work towards enabling ethical solutions. We identify current experimental work (practical studies rather than theoretical studies) on this problem often contains fundamental flaws due to the lack of real-world validity within the studied scenarios. We argue that morality is highly context dependent and that participants need to be more engaged in the choices they are claiming to make. Suggestions for future work include virtual reality or simulation methodologies which promote immersivity to ensure procedural validity whilst retaining safety. We also identify current guidelines contradict public viewpoint and argue public attitude needs to be better understood to give autonomous and automated vehicle manufacturers confidence in their design.

The Markov decision process (MDP) model has been widely studied and used in sequential decision making problems. In particular, it has been proved to be effective in maintenance policy optimization problems where the system state is supposed to continuously evolve under sequential maintenance policies. In traditional MDP models for maintenance, the long-run expected total discounted cost is concerned as the objective function. The maintenance manager’s target is to evaluate an optimal policy that incurs the minimum expected total discounted cost through the corresponding MDP model. However, a significant drawback of these existing MDP-based maintenance strategies is that they fail to incorporate and characterize the safety issues of the system during the maintenance process. Therefore, in some applications that are sensitive to functional risks, such strategies fail to accommodate the requirement of risk awareness. In this study, we apply the concept of risk-aversion in the MDP maintenance model to develop risk-aware maintenance policies. Specifically, we use risk functions to measure some indexes of the system that reflect the safety level and formulate a safety constraint. Then, we summarize the problem as a constrained MDP model and use the linear programming approach to evaluate the proposed risk-aware optimal maintenance policy under concern.

PURPOSE This review focuses on recent research in understanding the different aspects of what society should expect from a radiological attack. Although some scenarios of a radiologic event can be impossible to be prepared for, the effort put toward educating and better preparing for these types of events can help minimize some of the issues. The different areas discussed in this review include radioisotopes of concern, detection of radiation dose, biological effects of ionizing radiation exposures, low dose effects, targeted and non-targeted effects (NTE), psychological effects, mitigations, with a brief mention of other considerations such as medical preparedness, communication, policy implications and ethical issues. This review also discusses solutions to rectify the issues faced at hand that may come up in the event of a radiologic terrorist attack. CONCLUSIONS A review of recent work in the area shows that a multi-layered and interdisciplinary approach is needed to prepare for a radiological terrorist attack. As well as medical preparedness, the approach needs to include sociological and psychological planning as well as an understanding of ethical issues. Since the likely 'dirty bomb' scenarios may involve low dose exposures to high numbers of people, a much better theoretical and practical understanding of low dose radiobiology and the development of robust low dose exposure biomarkers is needed as part of an integrated plan.

Majority of the construction site accidents are due to the influence of human factors such as negligence, lack of awareness and lack of training. This work proposes a conceptual framework for minim...

Construction quality defects are a widespread and recurrent industry problem; the ISO 9001 Quality Management System (QMS) has been proposed as a tool to improve construction quality. It is one of the most widely adopted management systems worldwide and is a prerequisite for many construction tenders. Institutional theory uses the concept of regulatory decoupling to probe “performative” implementation of a standard or regulation; this theory has not to date been applied to ISO 9001 QMS implementation in the construction industry. In this context, the aim of this research is to investigate the extent of regulatory decoupling and its impact on the effectiveness of implementation of the ISO 9001 QMS in 3 case study construction organizations. 34 interviews are undertaken across three case study organizations and analyzed using an abductive grounded theory approach. In all three case study organizations, regulatory decoupling between the operation of the companies and their ISO 9001 system is taking place. Disconnection of the QMS to quality “on the ground” is evident. A model showing factors that foster regulatory decoupling is produced. The picture of compliance is complex and continually evolving. The study concludes with recommendations for industry to reconnect QMS systems to site operation and management.

The current pandemic called COVID-19 caused by the SARS-CoV-2 virus brought the need for the search for fast alternatives to both control and fight the SARS-CoV-2 infection. Therefore, a race for a vaccine against COVID-19 took place, and some vaccines have been approved for emergency use in several countries in a record time. Ongoing prophylactic research has sought faster, safer, and precise alternatives by redirecting knowledge of other vaccines, and/or the development of new strategies using available tools, mainly in the areas of genomics and bioinformatics. The current review highlights the development of synthetic antigen vaccines, focusing on the usage of bioinformatics tools for the selection and construction of antigens on the different vaccine constructions under development, as well as strategies to optimize vaccines for COVID-19.

Companies are increasingly exposed to the risk profile of their supply network and managing this risk is gaining in importance in a tightly interconnected global and competitive business environmen...

An examination of over 100 Covid-19 studies reveals that many relied on false assumptions that over-estimated the benefits and under-estimated the costs of lockdown. The most recent research has sh...

In recent years, with the rapid development of 5G technology, computer technology, communication technology, and the financial industry, people have paid more and more attention to financial inform...

Life cycle assessment (LCA) is an attractive approach to implement the waste management system in terms of environmental sustainability. The variety of environmental options has been made an emerge...

The COVID-19 pandemic has highlighted the salience of different supply networks merging together to provide critical products in short supply. The automotive supply network and the medical device s...

The evolving sophistication of threats and the impact of security breaches have caused managers to continually grapple with strategies to reduce these risks. One common security control is the adop...

The current paper proposes a novel taxonomy of latent hazard anticipation by distinguishing modal, strategic, tactical, and operational hazard anticipation skills.Novice drivers face an increased r...

Patents are often studied as signals that convey invaluable insights into a firm’s inventive capabilities, aiding in the reduction of knowledge asymmetries between the firm and external investors. ...

For more than 30 years, supply chain management adopts just-in-time (JIT) strategy. The adoption of JIT has reduced wastes and total costs; however it leads to complexity and risks. Thus, top manag...

Highways are vital infrastructures that play a crucial role in providing social welfare. Highway structures could experience different types of deterioration (e.g. pavement ageing, pavement crackin...

Redundant deliberation is a cognitively demanding form of inertia in which a decision-maker fails to gain any additional advantage by thinking about a problem compared to the risk of failing to act and deal with the problem. It most commonly occurs where there is no standard operating procedure (to help provide guidance) or where experience is lacking. This article argues that training interventions, including ‘grim storytelling’, must focus on supporting decision-makers’ ability to imagine rare, high-impact events, and construct ‘least–worst’ scenarios to help them anticipate, prevent, mitigate, adapt to and recover from such threats.

Hospitals play vital roles in mitigation and recovery in earthquake-hit communities. This paper aims to clarify the effect of physical damage on hospital organizations and represent a holistic meth...

INTRODUCTION Monoclonal antibodies, though a popular class of therapeutics, are complex molecules that are manufactured using complex processes, making it nontrivial to maintain high level of batch-to-batch consistency in product quality. Glycosylation is a posttranslation modification that is widely considered a critical quality attribute (CQA) as its variations are known to impact the Fc effector functions of mAbs. With continuing rise of biosimilars, comparability of these products to the reference product with respect to glycosylation is a topic of immense interest. AREAS COVERED In this article, we focus on the various aspects related to this topic including criticality of the various glycosylated forms, as well as comparability of biosimilars with respect to glycosylation. EXPERT OPINION We propose that manufacturers should focus on those glycoforms that are present in larger amounts and are known to be critical with respect to the biotherapeutic's safety and efficacy. Such risk-based evaluation of glycoforms and their control would offer an optimal route to biosimilar manufacturers for a cost-effective approach toward product development without compromising on the safety and efficacy characteristics of the therapeutic. For mAbs lacking Fc effector function, devising stringent glycosylation control strategies can be bypassed, thereby simplifying process and product development.

The evaluation sector has been struggling with systems that claim to be monitoring and evaluation, but in fact stop with the monitoring. However, equally problematic, yet much less discussed, is th...

The increasing exposure of global supply chains to severe disruptions such as the ones related to the COVID-19 pandemic, clearly demonstrated the need for novel data-driven risk management paradigms that monetise data from internal and external stakeholders to support supply chain security, resilience, and sustainability. We first motivate the challenges that supply chains are facing under the new realities. We then provide a critical taxonomy of the relevant literature and identify gaps which include: (i) the impact of security on supply chain operations; (ii) cost effective resiliency strategies and practices; and (iii) the social and labour dimensions of sustainability. We then propose a new generalised framework that encompasses all the identified challenges, gaps in literature and in practice, and opportunities in supply chain management research. The proposed framework is validated through a real-world case study of the organic food supply chain. This validation further highlights the need for data-driven digital technologies that enable data collection and management, secure storage and effective data processing towards data monetisation for supply chain security, cost-competitive resilience, and sustainability across end-to-end operations.

The continuous improvement in good practices and implementation of hazard analysis and critical control points (HACCP) remains very crucial for food hygiene quality safety to steadily thrive in the...

The limited evidence in the clinical trials of gene therapies (GTs) posed substantial challenges for a reliable health technology assessment (HTA). This paper provides insights into the relationship between the background of diseases and the health economics assessment of GTs.Areas covered: The impacts of differentiated severity and unmet needs of genetic diseases, on the economic analysis of GTs, were discussed.Expert opinion: GTs offer a potential cure or significant clinical improvement, while limitations in clinical evidence constitute major obstacles for a robust assessment of clinical effectiveness and economic outcomes. This uncertainty may be balanced by the severity of the targeted condition and the associated unmet needs, thus leading to a relatively higher acceptance for GTs. Overtime, HTA agencies will become more demanding on comprehensive evidence of long-term effectiveness. With a growing number of GTs on the horizon, to what extent the unmet needs of previously devastating diseases will be fulfilled remain unclear. Nonetheless, comparative studies, either with a historical control group or existing treatments, will be necessary to demonstrate the additional benefits associated with GTs.

Omni-channel strategy can be a powerful mechanism through which successful implementing organisations achieve higher levels of resilience to better survive disruptions. However, such potential benefits have been overlooked in existing literature with limited discussions on how omni-channel strategy can be exploited for uncertain business environments. We conduct an in-depth case study on a leading UK-based fashion retailer, Next, to explore the role of omni-channel strategy in helping organisations respond to the challenging retail landscape. Our results reveal that Next’s ability to achieve vitality even during the COVID-19 pandemic is largely attributed to its well-executed omni-channel strategy, which enhances its supply chain resilience (SCRES) by maintaining a dynamic fit between the internal information processing capacity and the changing information processing needs induced by external conditions. Our study contributes to the omni-channel and SCRES literature and provides practical insights on how omni-channel strategy can be wielded for both stable and turbulent environments.

While the majority of companies anticipated the negative and severe impacts of the COVID-19 pandemic on the supply chains (SC), most of them lacked guidance on how to model disruptions and their performance impacts under pandemic conditions. Lack of such guidance resulted in delayed reactions, incomplete understanding of pandemic impacts, and late deployment of recovery actions. In this study, we offer a method of modelling and quantifying the SC disruption impacts in the wake of a pandemic. We develop a multi-layer Bayesian network (BN) model that can be used to identify SC disruption triggers and risk events amid the COVID-19 pandemic and quantify the consequences of pandemic disruptions. The unique features of BN, such as forward and backward propagation analysis, are utilised to simulate and measure the impact of different triggers on SC financial performance and business continuity. In this way, we combine resilience and viability SC perspectives and explicitly account for the pandemic settings. The outcomes of this research open a novel theoretical lens on application of BNs to SC disruption modelling in the pandemic setting. Our results can be used as a decision-support tool to predict and better understand the pandemic impacts on SC performance.

This study originates in a recognised unsustainable cost escalation for complex defence equipment. In order to understand how such cost escalation for complex product systems (CoPS) can be avoided,...

Computer assisted cardiotocography holds a great promise in minimizing human errors thereby improving perinatal outcome. Despite exponential growth (Moore's law) in computing power for decades, this promise remains unrealized. The systematic analyses of studies on computerized cardiotocography offer little guide to future. This analytical review presents a more qualitative discussion of available evidence as well as concepts regarding the development and acceptance of computerized cardiotocography. To begin with, a workable approach would be for computer algorithms to follow the most scientific visual cardiotocography interpretation frameworks incorporating multiple fetal heart rate parameters and uterine contractions. This ability could be studied and form the basis for regulation of computer algorithms. Addition of background risk factors would be another step. This may take form of familiar multi-tier systems or new alternative strategies like the fetal reserve index. "Machine learning" will remain challenging because of complex variability in fetal-maternal conditions, labor characteristics and clinical intervention changing the outcomes. Randomized controlled trials of adequate size may remain very rare. However, prospective and retrospective testing of computer algorithms with careful qualitative and comparative approach would help clinicians and hospital managers in their decisions. Singular parameters like the popular "deceleration area" and "deceleration capacity" have poor predictive value for fetal acidemia or hypoxic injury. Scientific pattern-recognition of important fetal heart rate parameters like decelerations seems crucial for visual as well as computerized cardiotocography. Success of computerizedcardiotocography depends on team effort by the obstetricians with in-depth practical knowledge/experience and skilled artificial intelligence (AI) specialists.

There is growing interest in the use of systems-based risk assessment methods in Human Factors and Ergonomics (HFE). The purpose of this study was to test the intra-rater reliability and criterion-referenced concurrent validity of three systems-based risk assessment approaches: (i) the Systems-Theoretic Process Analysis (STPA) method; (ii) the Event Analysis of Systemic Teamwork Broken Links (EAST-BL) method; and, (iii) the Network Hazard Analysis and Risk Management System (Net-HARMS) method. Reliability and validity measures were obtained using the Signal Detection Theory (SDT) paradigm. Whilst STPA identified the highest number of risks, the findings indicate a weak to moderate level of reliability and validity for STPA, EAST-BL and Net-HARMS. There were no statistically significant differences between the methods across analyses. The results suggest that there is merit to the continued use of systems-based risk assessment methods following a series of methodological extensions that aim to enhance the reliability and validity of future applications. Practitioner summary The three risk assessment methods produced weak to moderate levels of stability and accuracy regarding their capability to predict risks. There is a pressing need to further test the reliability and validity of safety methods in Human Factors and Ergonomics.

Blockchain and smart contract technology is advancing rapidly and, as many companies and industries are stepping up to adopt the technology, it is a worthy subject of research. This study presents ...

Human propulsive forces are a key-factor to enhance swimming performance, but there is scarce knowledge when using direct assessments. The aim of this review was to analyse the evidence about human...

Ergonomic evaluations of forest machines are carried out in isolation due to the lack of an adequate method that makes it possible to correlate the ergonomic variables simultaneously. The aim of th...