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The COVID‐19 pandemic catapulted Telehealth to the forefront of Emergency Medicine (EM) as an alternative way of assessing and managing patients. This challenged the traditional idea that EM can only be practised within brick‐and‐mortar EDs. Many Emergency Physicians may find the idea of practising Telehealth in Emergency Medicine (TEM) confronting, particularly in the absence of training and clear practice guidelines. The purpose of the present paper is to describe the current use of TEM in Australasia, and outline the advantages and barriers in adopting this practice domain. [ABSTRACT FROM AUTHOR]

Background: There is increasing interest in the capacity of adaptive designs to improve the efficiency of clinical trials. However, relatively little work has investigated how economic considerations – including the costs of the trial – might inform the design and conduct of adaptive clinical trials. Methods: We apply a recently published Bayesian model of a value-based sequential clinical trial to data from the 'Hydroxychloroquine Effectiveness in Reducing symptoms of hand Osteoarthritis' (HERO) trial. Using parameters estimated from the trial data, including the cost of running the trial, and using multiple imputation to estimate the accumulating cost-effectiveness signal in the presence of missing data, we assess when the trial would have stopped had the value-based model been used. We used re-sampling methods to compare the design's operating characteristics with those of a conventional fixed length design. Results: In contrast to the findings of the only other published retrospective application of this model, the equivocal nature of the cost-effectiveness signal from the HERO trial means that the design would have stopped the trial close to, or at, its maximum planned sample size, with limited additional value delivered via savings in research expenditure. Conclusion: Evidence from the two retrospective applications of this design suggests that, when the cost-effectiveness signal in a clinical trial is unambiguous, the Bayesian value-adaptive design can stop the trial before it reaches its maximum sample size, potentially saving research costs when compared with the alternative fixed sample size design. However, when the cost-effectiveness signal is equivocal, the design is expected to run to, or close to, the maximum sample size and deliver limited savings in research costs. [ABSTRACT FROM AUTHOR]

Background: Considerable progress has been made in defining and measuring the real option value (ROV) of medical technologies. However, questions remain on how to estimate (1) ROV outside of life-extending oncology interventions; (2) the impact of ROV on costs and cost effectiveness; and (3) potential interactions between ROV and other elements of value. Methods: We developed a 'minimal modeling' approach for estimating the size of ROV that does not require constructing a full, formal cost-effectiveness model. We proposed a qualitative approach to assessing the level of uncertainty in the ROV estimate. We examined the potential impact of ROV on the incremental cost-effectiveness ratio as well as on the potential interactions between ROV and other elements of value. Lastly, we developed and presented a 15-item checklist for reporting ROV in value assessment. Results: The minimal modeling approach uses estimates on the efficacy of current treatment and potential future innovation, as well as success rate and length of new treatment development, and can be applied to all types of ROV across disease areas. ROV may interact with the conventional value, value of hope, productivity effects, and insurance value. The impact of ROV on cost effectiveness can be evaluated via threshold analysis. Conclusion: The minimal modeling approach and the checklist developed in this paper simplifies and standardizes the estimation and reporting of ROV in value assessment. Systematically including and reporting ROV in value assessment will minimize bias and improve transparency, which will help improve the credibility of ROV research and acceptance by stakeholders. [ABSTRACT FROM AUTHOR]

Earthworms have a complex digestive system consisting of the mouth, pharynx, esophagus, crop, gizzard, and intestine which work together to pass the soil out. The gut soil and associated microbial load in earthworms' gut hinder the outcome of many experiments like in-vitro regeneration, histology, immunohistochemistry, molecular expression and toxicological studies. Currently, the available gut cleaning techniques are time-consuming and costly. The tissue paper method takes 4-7 days; the agar-agar method takes around 3-5 days to clean the gut. Therefore, refined techniques are needed to reduce the gut cleaning process in a cost-effective and at the same time in a minimum number of days. Bisacodyl is a medication used to treat constipation and it acts as a laxative drug that increases peristatic movement of the gut. It can also be used to cleanse the intestines before a bowel examination or surgery. The present study aims to enhance the gut-cleaning process in earthworm, Eudrilus eugeniae , using the drug bisacodyl. Briefly, the earthworm is exposed to different concentrations (1 mg, 2 mg, 4 mg, 6 mg, 8 mg and 10 mg) of bisacodyl and analyzed for its excretion rate. We observed that 4 mg is more efficient and aids in cleaning the earthworm's gut within two days. A lower bisacodyl concentration is inefficient in cleaning the gut in a shorter duration while at higher bisacodyl concentrations, worm experienced autotomy. Since the drug was active for only 45 mins, the worm became normal one hour after withdrawal from the experiment. Other than E. eugeniae , for Perionyx excavatus we observed 4 mg bisacodyl drug is efficient and aids in cleaning its gut within two days. Overall, the designed protocol is efficient for gut cleaning in a shorter duration in a cost-effective manner. [ABSTRACT FROM AUTHOR]

This study aims to enhance operational efficiency in chiller plants by implementing the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm. The primary objectives are to simultaneously reduce energy consumption and increase cooling efficiency, addressing the challenges posed by variable environmental and operational conditions. Employing the MOPSO algorithm, this research conducts a detailed analysis using real-time environmental data and operational parameters. This approach facilitates a dynamic adaptation to changes in ambient temperature and electricity pricing, ensuring that the algorithm's application remains effective under fluctuating conditions. The application of MOPSO has resulted in significant reductions in energy use and improvements in cooling efficiency. These results demonstrate the algorithm's capacity to optimize chiller plant operations dynamically, adapting to changes in environmental conditions and operational demands. The study finds that MOPSO's adaptability to dynamic operational conditions enables robust energy management in chiller plants. This adaptability is crucial for maintaining efficiency and cost-effectiveness in industrial applications, especially under varying environmental impacts. The paper contributes to the field by enhancing the understanding of how advanced optimization algorithms like MOPSO can be effectively integrated into energy management systems for chiller plants. A novel aspect of this research is the integration of real-time data analytics into the optimization process, which significantly improves the sustainability and operational efficiency of HVAC systems. Furthermore, the study outlines the potential for similar research applications in large-scale HVAC systems, where such algorithmic improvements can extend practical benefits. The findings underscore the importance of considering a broad range of environmental and operational factors in the optimization process and suggest that MOPSO's flexibility and robustness make it a valuable tool for achieving sustainable and cost-effective energy management in industrial settings. [ABSTRACT FROM AUTHOR]

In the field of autofocus for optical systems, although passive focusing methods are widely used due to their cost-effectiveness, fixed focusing windows and evaluation functions in certain scenarios can still lead to focusing failures. Additionally, the lack of datasets limits the extensive research of deep learning methods. In this work, we propose a neural network autofocus method with the capability of dynamically selecting the region of interest (ROI). Our main work is as follows: first, we construct a dataset for automatic focusing of grayscale images; second, we transform the autofocus issue into an ordinal regression problem and propose two focusing strategies: full-stack search and single-frame prediction; and third, we construct a MobileViT network with a linear self-attention mechanism to achieve automatic focusing on dynamic regions of interest. The effectiveness of the proposed focusing method is verified through experiments, and the results show that the focusing MAE of the full-stack search can be as low as 0.094, with a focusing time of 27.8 ms, and the focusing MAE of the single-frame prediction can be as low as 0.142, with a focusing time of 27.5 ms. [ABSTRACT FROM AUTHOR]

Background: Over 65s are frequent attenders to the Emergency Department (ED) and more than half are admitted for overnight stays. Early assessment and intervention by a dedicated ED-based Health and Social Care Professionals (HSCP) team reduces ED length of stay and the risk of hospital admissions among older adults while improving patient health-related quality-of-life and satisfaction with care. This study aims to evaluate whether augmenting the treatment as usual for older adults admitted to ED is cost-effective. Methods and findings: Cost-effectiveness analysis (CEA), conducted alongside the OPTI-MEND randomised controlled trial of 353 patients aged ≥65 with lower urgency complaints compared the effectiveness of early assessment and intervention by a dedicated HSCP team in the ED to treatment as usual (TAU). An economic analysis estimated the average cost per older adults randomised to the HSCP team, and compared to TAU, how contact with HSCP team changed health care use, and associated total costs, and estimated the effect of HSCP on Quality-Adjusted Life Years (QALYs). Within the OPTI-MEND trial, the average cost of a contact with the HSCP team during ED attendance is estimated to be €801 per patient. Compared to TAU, the incremental QALY of intervention is 0.053 (95% CI: 0.023 to 0.0826, p<0.0001). Accounting for cost savings because of contact with HSCP team, the average incremental saving in the total cost, compared to TAU, is -€6,128 (95% CI: -€9,217 to -€3,038, p<0.0001). Given the incremental health gains and significant cost savings, bootstrapped cost CEA suggests that dedicated HSCP care dominates over TAU for low urgency older adults attending the ED. Conclusions: A dedicated HSCP team in the ED significantly improves overall health for lower acuity older adults and, by reducing inpatient length of stay, results in staggering cost savings. This economic evaluation conducted on the OPTI-MEND trial provides convincing evidence that HSCP should be adopted as part of treatment as usual in Irish EDs. Trial registration: ClinicalTrials.gov, NCT03739515; registered on 12th November 2018. https://classic.clinicaltrials.gov/ct2/show/NCT03739515. [ABSTRACT FROM AUTHOR]

Thermal gradient‐driven fluid motion, also known as thermal convection, is a common and significant phenomenon in nature. The utilization of localized thermal gradients to induce convection has emerged as a competitive approach in microfluidic chips. This technique enables the long‐distance transportation of substances under the influence of low‐power lasers. In this paper, an innovative optofluidic micro‐platform is presented that possesses a simple structure, easy operation, and excellent expandability. A UV nanosecond laser is utilized to create a high photothermal conversion region (HPCR) within the carbon nanotube‐doped PDMS substrate. Subsequently, the HPCR is subjected to irradiation for generating localized thermal gradients in the microfluidic chip. This resulted in Rayleigh–Bernard convection formation and facilitated long‐range transport and control of fluids and particles. Under low‐power laser irradiation, particles can be transported at speeds up to 0.18 mm s−1. In addition, the optofluidic platform shows significant potential for a range of functionalities, including fluid mixing and material sorting. The methodology described here allows for the rapid integration of new functionalities into existing chips while maintaining cost effectiveness and efficiency. This technique holds great promise for expanding the use of microfluidic devices in diverse fields, including chemistry, health sciences, materials science, and biomedicine. [ABSTRACT FROM AUTHOR]

Plastic and polythene are useful innovations and are used for many products ranging from paper clips to spaceships due to their cost effectiveness, versatility, ease of production, and water resistant. However, the misuse and improper disposal of plastic and polythene create serious environmental, health, social, and financial issues. Thus, it is important to adhere to responsible disposal methods. The present study focused on the magnitude of usage, disposal methods, public awareness, and perception toward household polythene and plastic usage and disposal methods. A total of 150 respondents were selected using the cluster sampling technique in the Kuruwita Pradeshiya Sabha, Ratnapura, Sri Lanka. The data were collected through face‐to‐face and online interviews. The weights of the collected wastes were measured through a handheld digital scale. The findings of the study revealed that the majority of the respondents use polythene and plastic products and 83.33% of the respondents use these for their daily life due to the lack of alternatives and easy availability. The majority of the respondents mentioned the use of separate bags for shopping made out of eco‐friendly materials. Shopping in supermarkets has been a reason to increase the usage of polythene and plastic. HDPE, PET, and LDPE were the most commonly‐used plastics types and among which HDPE was the highest (24%) in the study area. Findings further revealed that the people with post‐graduate education used more polythene and plastic (19.8%) and the usage was higher (40.39%) in families in the non‐governmental sector. The participants with monthly income higher than 100,000 LKR used more polythene and plastic (28.84%) compare to others. The common way of disposing of was burning and participants had only a fair knowledge of banning, recycling, reusing, and controlling plastic waste. The study revealed the need for strict regulations and necessary actions to control the usage of polythene‐based products. [ABSTRACT FROM AUTHOR]

Online mutual aid (MA) is a novel form of ex‐post risk sharing empowered by InsurTech to provide critical illness coverage without involving an insurer. In this paper, we first provide a rigorous examination of the underpinning theory and analyze MA model's cost‐effectiveness. In addition, we theoretically investigate the condition for MA's actuarial fairness among all participants. Our numerical illustration also shows that current MA plans lack the consideration of actuarial fairness as they differentiate members only by gender and age group of large bandwidths. Last, our empirical analysis confirms the existence of adverse selection due to the lack of actuarial fairness. [ABSTRACT FROM AUTHOR]

Deborah Robertson provides an overview of recently published articles that may be of interest to non-medical prescribers. Should you wish to look at any of the papers in more detail, a full reference is provided [ABSTRACT FROM AUTHOR]

The intraoperative optical coherence tomography (iOCT) is recently introduced in Descemet membrane endothelial keratoplasty (DMEK) surgery, which aims to increase clinical performance and surgery safety. However, the acquisition of this modality is a substantial investment. The objective of this paper is to report on the cost‐effectiveness of an iOCT‐protocol in DMEK surgery with the Advanced Visualization in Corneal Surgery Evaluation (ADVISE) trial. This cost‐effectiveness analysis uses data 6 months postoperatively from the multicentre prospective randomized clinical ADVISE trial. Sixty‐five patients were randomized to usual care (n = 33) or the iOCT‐protocol (n = 32). Quality‐Adjusted Life Years (EQ‐5D‐5L), Vision‐related Quality of Life (NEI‐VFQ‐25) and self‐administered resources questionnaires were administered. Main outcome is the incremental cost‐effectiveness ratio (ICER) and sensitivity analyses. The iOCT protocol reports no statistical difference in ICER. For the usual care group compared with the iOCT protocol, respectively, the mean societal costs are €5027 compared with €4920 (Δ€107). The sensitivity analyses report the highest variability on time variables. This economic evaluation learned that there is no added value in quality of life or cost‐effectiveness in using the iOCT protocol in DMEK surgery. The variability of cost variables depends on the characteristics of an eye clinic. The added value of iOCT could gain incrementally by increasing surgical efficiency, and aiding in surgical decision‐making. [ABSTRACT FROM AUTHOR]

Summary: This paper proposes a double‐node upset complete resilient (DNUCR) latch to meet the requirements of low orbit space applications for high robustness, cost‐effectiveness, and high performance. With the help of its interlocked loops with multiple feedbacks consisting of C‐elements (CE), input splitting CEs, 1P‐2N and 2P‐1N elements, and inverters, the proposed DNUCR latch preserves the original data even after the radiation incident. Error injection simulations in Synopsys HSPICE show that the proposed DNUCR latch recovers from all DNUs and can withstand large amount of injected charge. The simulation outcomes further show that the proposed DNUCR latch outperforms existing DNU‐resilient latches in terms of delay, power consumption, and power–delay–area product (PDAP), with an average of 48% reduction in delay, 22% savings in power, and 60% reduction in PDAP. The proposed DNUCR latch is also found to be the best among the existing radiation‐hardened latches in terms of charge‐to‐PDAP ratio. [ABSTRACT FROM AUTHOR]

Introduction: Little is known about the cost-effectiveness of government policies that support primary care physicians to provide comprehensive chronic disease management (CDM). This paper aimed to estimate the potential cost-effectiveness of CDM policies over a lifetime for long-time survivors of stroke. Methods: A Markov model, using three health states (stable, hospitalised, dead), was developed to simulate the costs and benefits of CDM policies over 30 years (with 1-year cycles). Transition probabilities and costs from a health system perspective were obtained from the linkage of data between the Australian Stroke Clinical Registry (cohort n = 12,368, 42% female, median age 70 years, 45% had CDM claims) and government-held hospital, Medicare, and pharmaceutical claims datasets. Quality-adjusted life years (QALYs) were obtained from a comparable cohort (n = 512, 34% female, median age 69.6 years, 52% had CDM claims) linked with Medicare claims and death data. A 3% discount rate was applied to costs in Australian dollars (AUD, 2016) and QALYs beyond 12 months. Probabilistic sensitivity analyses were used to understand uncertainty. Results: Per-person average total lifetime costs were AUD 142,939 and 8.97 QALYs for those with a claim, and AUD 103,889 and 8.98 QALYs for those without a claim. This indicates that these CDM policies were costlier without improving QALYs. The probability of cost-effectiveness of CDM policies was 26.1%, at a willingness-to-pay threshold of AUD 50,000/QALY. Conclusion: CDM policies, designed to encourage comprehensive care, are unlikely to be cost-effective for stroke compared to care without CDM. Further research to understand how to deliver such care cost-effectively is needed. [ABSTRACT FROM AUTHOR]

This paper investigates the determinants of cost-(in)effective giving to public goods. We conduct a pre-registered experiment to elucidate how factors at the institutional and individual levels shape individual contributions and the cost-effectiveness of those contributions in a novel public good game. In particular, we examine the role of consequential uncertainty over the value of public good contributions (institutional level) as well as individual characteristics like risk and ambiguity attitudes, giving type, and demographics (individual level). We find cost-ineffective contributions in all institutions, but total contribution levels and the degree of cost-ineffectiveness are similar across institutions. Meanwhile, cost-effectiveness varies by giving type—which is a novel result that is consistent with hypotheses we generate from theory—but other individual characteristics have little influence on the cost-effectiveness of contributions. Our work has important positive and normative implications for charitable giving and public good provision in the real world, and it is particularly germane to emerging online crowdfunding and patronage platforms that confront users with a multitude of competing opportunities for giving. [ABSTRACT FROM AUTHOR]

The article outlines the possibility of achieving a comprehensive solution to environmental problems, specifically by neutralizing toxic carbon monoxide and treating wastewater generated during metallurgical production. The use of spent iron sulfate-containing etching solutions allows the creation of effective and affordable manganese-ferrite catalyst systems on a zeolite carrier. The novelty of the study is the use of «green» chemicals - ferrates that include iron (VI) and have great potential in environmentally friendly water treatment technologies. The use of potassium ferrate reduces the need for an alkaline reagent to produce a ferritic material. Confirmation of the composition of the main elements of catalysts was carried out using qualitative X-ray phase and micro-X-ray spectral analysis. The use of an innovative manganese-ferrite catalyst to neutralize carbon monoxide obtained using potassium ferrate provides a successful solution to the problem of toxic gas emission in electrode manufacturing technology and creates pathways for the transition to a circular economy. The cost-effectiveness and environmental friendliness of using the proposed catalyst on a zeolites carrier in a reactor located in the fire channels of the chambers of the Riedhammer multi-chamber furnaces for burning electrode blanks are demonstrated. The preparation of a catalyst from spent sorbents for purifying manganese-containing natural water emphasizes its sustainable nature and contribution to solving environmental problems in the context of production processes. The safety of burial or storage in landfills of ferritic sludge sediments as an analog of magnetite distributed in the earth's crust further emphasizes the importance of the proposed method. [ABSTRACT FROM AUTHOR]

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This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/policies/article-withdrawal). This article has been retracted at the request of the Authors. The authors have independently identified an error in the formula that was utilized to calculate the Quality Adjusted Life Years which invalidates the data and the conclusion of the paper. The authors have contacted the journal requesting to retract the article. Apologies are offered to the readers of the journal for any confusion or inconvenience that may have resulted from the publication of this article. [ABSTRACT FROM AUTHOR]

Objective: To review the literature comparing functional endoscopic sinus surgery to dupilumab for the treatment of chronic rhinosinusitis with nasal polyps, in terms of symptom control, cost-effectiveness and complications. Method: A literature review was conducted using PubMed, ScienceDirect and Cochrane databases. Data were extracted manually. Results: A total of six papers relevant to the main objective were found. Conclusion: Chronic rhinosinusitis with nasal polyps has a significant impact on patients' quality of life. Both functional endoscopic sinus surgery and dupilumab achieve comparable disease control and result in good symptom relief. Dupilumab is far more expensive than functional endoscopic sinus surgery and is not considered cost-effective for the time being. This is expected to change after 10 years when the drug patent expires. More research is needed to compare the complications of both treatment modalities. [ABSTRACT FROM AUTHOR]

Electric vehicle sales are increasing rapidly beyond expectations offering many advantages over vehi¬cles with internal combustion engines. The hybrid electric vehicles are often considered a transition be¬tween the two due to added advantages of both models. Out of hybrid models, plugin hybrid vehicles have more resemblance to the fully electric vehicles because of the electric range and lower cost per mile. This paper investigates placing a battery pack in the spare tire location to extend the range of any type of electric vehicle. Cost and extended range calculations are performed based on two top selling vehicles that use 16", 17" and 18" size tires. The volumes of spare tires are calculated and battery packs built with various lithium battery dimensions and chemistries are fit into the calculated area. Results for combinations are demonstrated with battery pack capacity, cost and range. When compared with other chemistries, battery packs built with Li-Ion cells provided more range for the calculated spare tire volume. In addition, results indicate that a sufficient electric range could be achieved for daily driving using the battery pack placed in the spare tire location. Obtained results provide insights on the feasibility of installing battery packs in the spare tire location using various battery chemistries. [ABSTRACT FROM AUTHOR]

Objective: The aim of this cost-effectiveness analysis was to estimate the monetary cost required to achieve a gain in health benefit. An analytic model to evaluate the cost-effectiveness of a topical medical device comprising a mixture of hyaluronic acid and amino acids (HA+AA medical device) (Vulnamin, Professional Dietetics SpA, Italy) as compared to standard of care (SoC) for hard-to-heal (chronic) wounds is presented. Method: Retrospective data was analysed from a cohort of patients as well as information from published literature. For each paper, the following information was extracted: number of patients enrolled in each treatment arm and the results of prespecified reviewed outcomes. Results: A total of six studies involving 378 patients were included in this pooled analysis. Findings showed that treatment with the HA+AA medical device has the potential to lower consumption of resources. With regards to wound healing, in both superficial and deep wounds, treatment benefits of the HA+AA medical device included: rapid wound size reduction; faster healing; reduction of dressing changes; reduced infection risk; and reduced treatment costs. Results showed the HA+AA medical device to be 32% more cost-effective than comparators in the treatment of hard-to-heal wounds (time horizon selected=six months). Conclusion: The findings of this analysis showed that treatment with the HA+AA medical device is a valid alternative to SoC care because it is cheaper, and its utility and effectiveness are greater. In addition, the results of the analysis showed a direct relationship between the time to complete healing and the increase in costs (increasing the period of time to reach complete healing increases the costs associated with the treatment). [ABSTRACT FROM AUTHOR]

This paper examines the optimal content regulation of direct‐to‐consumer advertisement (DTCA) by comparing two forms of DTCA—product‐specific and category‐specific—and identifies a key tradeoff which underlies this policy debate. Our analysis suggests that the optimal form of DTCA depends crucially on the cost effectiveness of DTCA and the market‐size distortion induced by DTCA. When the cost of advertisement is high, there often exists a Pareto‐improving policy choice: category‐specific DTCA is preferred when the market‐size distortion is more severe while produce DTCA is preferred when it is less so. As the cost decreases, however, a conflict emerges between pharmaceutical firms and patients: firms are worse off under product‐specific DTCA while patients are better off. We also find that the physician's reluctance to persuade misinformed patients can actually alleviate the market‐size distortion and hence be welfare‐enhancing. [ABSTRACT FROM AUTHOR]

Synthesis of nanoscale materials is urgent with an increasing demand due to their valuable applications in various industries including medicine and aerospace. To advance green and sustainable nanomaterial synthesis, this study employed liquid-phase exfoliation techniques using bath sonication with gallnut and coffee waste as plant extracts to develop two-dimensional (2D) nanomaterials: functionalized few-layer graphene (FFG), h-boron nitride nanosheets (BNNs), functionalized few-layer borophene (FFB), and MXenes, from graphite, h-boron nitride, boron, and HF-etched Ti3AlC2, respectively, as well as their hybrids BNN/FFG, BNN/FFB, FFG/MXene, BNN/MXene, FFG/FFB, and FFB/MXene. When incorporated at 1 wt%, these nanomaterials and nanohybrids significantly improved both the mechanical properties and thermal stability of polyvinyl alcohol (PVA) and chitosan films. Specifically, the resulting hybrid nanocomposite films outperformed pure PVA in terms of tensile strength (35.1 ± 0.6 MPa) and Young's modulus (862.4 ± 42.4 MPa) with a 3.25- and 6.5-fold increase, respectively. In addition, the reinforcement of nanomaterials into the films increased the initial decomposition temperatures up to 50%. Furthermore, utilizing the graphene production process, we performed a life cycle assessment of this technology focusing on three impact categories: energy use, biogenicity, and land transformation. Commercial exfoliating solvents are much more costly than our plant extracts, according to an economic analysis of the costs related to the use of plant and coffee waste extracts in comparison to other exfoliating solvents. To date, this is the first study to successfully synthesize FFB, MXenes, and their hybrids with FFG and BNN using gallnut or coffee extract-mediated liquid phase exfoliation. The established method of nanohybrid preparation provides a simple, energy-efficient, and environmentally friendly approach that can be adapted for the design and synthesis of a wide range of functional hybrid nanomaterials with diverse applications. [ABSTRACT FROM AUTHOR]

Background: Omission of family and caregiver health spillovers from the economic evaluation of healthcare interventions remains common practice. When reported, a high degree of methodological inconsistency in incorporating spillovers has been observed. Aim: To promote emerging good practice, this paper from the Spillovers in Health Economic Evaluation and Research (SHEER) task force aims to provide guidance on the incorporation of family and caregiver health spillovers in cost-effectiveness and cost-utility analysis. SHEER also seeks to inform the basis for a spillover research agenda and future practice. Methods: A modified nominal group technique was used to reach consensus on a set of recommendations, representative of the views of participating subject-matter experts. Through the structured discussions of the group, as well as on the basis of evidence identified during a review process, recommendations were proposed and voted upon, with voting being held over two rounds. Results: This report describes 11 consensus recommendations for emerging good practice. SHEER advocates for the incorporation of health spillovers into analyses conducted from a healthcare/health payer perspective, and more generally inclusive perspectives such as a societal perspective. Where possible, spillovers related to displaced/foregone activities should be considered, as should the distributional consequences of inclusion. Time horizons ought to be sufficient to capture all relevant impacts. Currently, the collection of primary spillover data is preferred and clear justification should be provided when using secondary data. Transparency and consistency when reporting on the incorporation of health spillovers are crucial. In addition, given that the evidence base relating to health spillovers remains limited and requires much development, 12 avenues for future research are proposed. Conclusions: Consideration of health spillovers in economic evaluations has been called for by researchers and policymakers alike. Accordingly, it is hoped that the consensus recommendations of SHEER will motivate more widespread incorporation of health spillovers into analyses. The developing nature of spillover research necessitates that this guidance be viewed as an initial roadmap, rather than a strict checklist. Moreover, there is a need for balance between consistency in approach, where valuable in a decision making context, and variation in application, to reflect differing decision maker perspectives and to support innovation. [ABSTRACT FROM AUTHOR]

Synopsis The research problem This paper examined whether firms' decision to switch from the International Financial Reporting Standards (IFRS) to the new Generally Accepted Accounting Practice in the United Kingdom (New UK GAAP) affects their audit fees. Motivation The New UK GAAP was introduced by the UK regulators to enhance the comparability of financial reports and to reduce the high financial reporting costs associated with IFRS. We aimed to provide evidence on whether the reduced frameworks of IFRS, like the New UK GAAP, are a more cost-effective option. Furthermore, only very few studies analyzed the impact of abandoning IFRS on audit fees, and these found inconsistent results using the public firm data. We aimed to extend the current literature by using the private firm data. The test hypotheses Our first set of hypotheses considered whether the switch from IFRS to the New UK GAAP is associated with audit fees. Our second hypothesis tested whether there is a difference in any such association between larger and smaller firms. Target population We focused on the UK private (i.e., nonlisted) firms that have previously voluntarily adopted the IFRS. Adopted methodology We used regression analyses, difference-in-differences (DID) analyses, various matching methods for robustness, and analyses of firms' financial reports. Analyses Using the UK private (i.e., nonlisted) firm data for the period 2014–2019, we examined the impact of switching from IFRS to the New UK GAAP on audit fees. The data for regression and DID analyses were obtained from the FAME database. We also downloaded the financial reports of two firms from Companies House to analyze the differences in their reports before and after the switch to the New UK GAAP. Findings We found that firms' decision to switch from IFRS to the New UK GAAP significantly reduced their audit fees, with larger firms experiencing an additional reduction in their audit fees following the switch. Through examining the real examples of firms' financial reports, we found consistent evidence that firms turning away from IFRS did take advantage of the disclosure exemptions contained within the New UK GAAP, resulting in reduced disclosure, which may explain the reduced audit fees. Overall, our findings suggest that using full IFRS may still be burdensome for the sampled firms that previously voluntarily adopted the IFRS. The findings also imply that an accounting standard consistent with IFRS but requiring less disclosure, such as the New UK GAAP or the IFRS for Small and Medium-sized Entities, may be welcomed by practitioners and represents a useful alternative for standard setters. [ABSTRACT FROM AUTHOR]

The global population has suffered extensively as an effect of the coronavirus infection, with the loss of many lives, adverse financial consequences, and increased impoverishment. In this paper, we propose an example of the non-linear mathematical modeling of the COVID-19 phenomenon. Using the fixed point theorem, we established the solution's existence and unicity. We demonstrate how, under the framework, the basic reproduction number can be redefined. The different equilibria of the model are identified, and their stability analyses are carefully examined. According to our argument, it is illustrated that there is a single optimal control that can be used to reduce the expense of the illness load and applied processes. The determination of optimal strategies is examined with the aid of Pontryagin's maximum principle. To support the analytical results, we perform comprehensive digital simulations using the Runge-Kutta 4th-order. The data simulated suggest that the effects of the recommended controls significantly impact the incidence of the disease, in contrast to the absence of control cases. Further, we calculate the incremental cost-effectiveness ratio to assess the cost and benefits of each potential combination of the two control measures. The findings indicate that public attention, personal hygiene practices, and isolating oneself will all contribute to slowing the spread of COVID-19. Furthermore, those who are infected can readily decrease their virus to become virtually non-detectable with treatment consent. [ABSTRACT FROM AUTHOR]

Upscaling Voluntary Sustainability Standards (VSS) can generate ecological and social benefits at a scale that is meaningful to address pressing environmental issues such as climate change and biodiversity losses. Lack of resources and risks of implementation gaps may, however, hinder the success of upscaling VSS. This paper aims to fill the gap in the literature regarding options to reduce certification costs to upscale VSS amid the limited financial resources available for certification. The paper presents the result of action research involving 3,507 independent oil palm farmers who are members of six farmer groups in two districts in Central Kalimantan to achieve Roundtable on Sustainable Palm Oil (RSPO) certification. The research found that achieving economies of scale by increasing the total number of certified farmers can reduce the certification costs per farmer. By establishing a district-level entity, the costs related to audits, RSPO membership fees, and the establishment of farmer groups, such as developing standard operating procedures (SOPs), can be lowered. Implementation gaps were not found with the increase of farmers joining the project based on the training frequency and the external audit findings reports on farmers' compliance with RSPO principles and criteria. The findings of this study provide a basis for promoting the upscaling of VSS, including through the RSPO jurisdictional approach.

Thermoelectric generators have struggled with low efficiency, limiting their widespread use. To further improve the performance of the thermoelectric generator, this paper introduces the biconical pin structure into the segmented annular thermoelectric generator, and simultaneously incorporates exergy efficiency and economic cost to evaluate its performance. Experiments are first used to verify the accuracy of the simulation model, and then the effects of the cone angle θ , leg height H , leg length ratio δ and resistance ratio ε are discussed. Finally, correlation analysis is used to obtain the weight of the impact of research parameters on thermoelectric performance, and the optimized results are obtained. The results demonstrate that the output power of the biconical segmented annular thermoelectric generator is 20.23 % higher, the exergy efficiency is 8.55 % higher, and the economic cost is reduced by 21.36 % compared to the traditional segmented annular thermoelectric generator. As the θ and H increase, the thermoelectric performance enhances. The influence of δ on thermoelectric performance is more complicated. When ε is 1.5, the thermoelectric generator has optimal thermoelectric performance. This paper provides a reference for optimizing the segmented annular thermoelectric generator structure and is of paramount importance for enhancing the efficiency of waste heat recovery. • The biconical segmented annular thermoelectric generator is proposed. • Research is conducted using exergy analysis and economic cost analysis. • The influence weight of parameters on performance is explored. • The optimal parameters of thermoelectric generator are obtained. [ABSTRACT FROM AUTHOR]

• The system-level harmonic mitigation method proposed in this paper can significantly reduce the number and the cost of harmonic mitigation. • Compared with passive filters, using active filters for distributed harmonic mitigation can reduce the number of filters, which is attractive in practical implementation. • The selection of passive filter used for resonance suppression directly affects the optimization results of distributed harmonic mitigation and it is challenging to infer either the ST filter or the C-Type filter leads to better results. • Taking into account both capital and installation costs, a C-Type filter for resonance suppression combined with active filters for harmonic mitigation could be the optimal choice. In recent years, non-characteristic harmonic resonance was observed in several high-voltage direct current (HVDC) systems in China. Intuitively, additional filters can be installed to mitigate the resonance. However, such a solution does not prevent the harmonic penetration from nearby substations. As a result, the harmonic issue in HVDC systems cannot be well addressed. In view of the above, this paper presents a system-level harmonic mitigation method. The basic idea is to address the harmonic pollution by mitigating harmonic sources and harmonic resonance simultaneously. To achieve this goal, candidates of filters to suppress the resonance at the HVDC station are investigated first. Then, an optimal filter design problem is established to determine the location, type and capacity of multiple filters that can achieve the system-level harmonic mitigation with the minimum cost. Particularly, an improved particle swarm algorithm with adaptive mutation operators is tailor-designed to solve the proposed optimization problem. Finally, the proposed method is applied to address the harmonic problem faced by a real-life HVDC system in eastern China. The result demonstrates that compared with the solutions solely mitigating harmonic sources or resonance, the method presented in this paper is more cost-effectiveness. [ABSTRACT FROM AUTHOR]

In the competitive world, organisations are facing many pressures that demand organisational excellence. This requires evidence-based decision-making associated with employees and businesses in a cost-effective manner, which is possible through HR Analytics (HRA). The use of HRA is transforming the HR landscape. Emerging new technologies require Human Resource Development (HRD) teams to respond to the changing needs so that organisations can survive and thrive in the intense competitive era. Based on the level of analytics maturity, organisations expect the HR team to have advanced beginner to expert knowledge of analytics skills and tools. Reskilling and upskilling employees with new technologies and skills have become imperative for HRD teams. While buying or stealing an employee from outside the organisation may be helpful in extreme conditions, building and borrowing employees from inside, seem much more helpful for the long-term benefits. The HR function in many organisations has been slow to adopt this HR analytics innovation. This paper sheds light on the reasons for the slow adoption of HR Analytics and provides inputs to HR development professionals of early majority and late majority adopting organisations in terms of how to overcome the challenges and gear up for effective HR Analytics adoption and implementation. [ABSTRACT FROM AUTHOR]

Background: Malaria transmission modelling has demonstrated the potential impact of semiquantitative glucose-6-phosphate dehydrogenase (G6PD) testing and treatment with single-dose tafenoquine for Plasmodium vivax radical cure but has not investigated the associated costs. This study evaluated the cost-effectiveness of P. vivax treatment with tafenoquine after G6PD testing using a transmission model. Methods and findings: We explored the cost-effectiveness of using tafenoquine after G6PD screening as compared to usual practice (7-day low-dose primaquine (0.5 mg/kg/day) without G6PD screening) in Brazil using a 10-year time horizon with 5% discounting considering 4 scenarios: (1) tafenoquine for adults only assuming 66.7% primaquine treatment adherence; (2) tafenoquine for adults and children aged >2 years assuming 66.7% primaquine adherence; (3) tafenoquine for adults only assuming 90% primaquine adherence; and (4) tafenoquine for adults only assuming 30% primaquine adherence. The incremental cost-effectiveness ratios (ICERs) were estimated by dividing the incremental costs by the disability-adjusted life years (DALYs) averted. These were compared to a willingness to pay (WTP) threshold of US$7,800 for Brazil, and one-way and probabilistic sensitivity analyses were performed. All 4 scenarios were cost-effective in the base case analysis using this WTP threshold with ICERs ranging from US$154 to US$1,836. One-way sensitivity analyses showed that the results were most sensitive to severity and mortality due to vivax malaria, the lifetime and number of semiquantitative G6PD analysers needed, cost per malaria episode and per G6PD test strips, and life expectancy. All scenarios had a 100% likelihood of being cost-effective at the WTP threshold. The main limitations of this study are due to parameter uncertainty around our cost estimates for low transmission settings, the costs of G6PD screening, and the severity of vivax malaria Conclusions: In our modelling study that incorporated impact on transmission, tafenoquine prescribed after a semiquantitative G6PD testing was highly likely to be cost-effective in Brazil. These results demonstrate the potential health and economic importance of ensuring safe and effective radical cure. Author summary: Why was this study done?: Radical cure with primaquine or recently approved tafenoquine is required to clear the dormant liver parasites of vivax malaria. While single-dose tafenoquine overcomes the barrier of patient adherence to the current 7-day primaquine treatment, it costs more and requires screening for glucose-6-phosphate dehydrogenase (G6PD) deficiency. While the impact of changing policies to tafenoquine after G6PD screening on transmission has been evaluated, the associated costs and cost-effectiveness will be important considerations for policymakers. What did the researchers find?: Using an economic evaluation model coupled with a transmission model, we found that prescribing tafenoquine to vivax malaria patients without G6PD deficiency would be highly likely to be cost-effective in Brazil. Tafenoquine will be particularly cost-effective in settings where patient adherence to the current 7-day treatment is low and when paediatric tafenoquine is available to treat children as well as adults. What do these findings mean?: To our knowledge, this is the first study that has looked at the cost-effectiveness of tafenoquine when including the impact on disease transmission. The high probability of cost-effectiveness across a wide range of scenarios and municipalities should reassure decision-makers in Brazil, where tafenoquine has recently been adopted into national policy, and aid other countries considering the implementation of tafenoquine after G6PD screening. [ABSTRACT FROM AUTHOR]

The Collaborative Improvement and Innovation Network to Advance Care for Children with Medical Complexity (CMC CoIIN) was designed with a foundational commitment to partnership with family leaders to codesign and improve systems of care and supports for CMC and their families -- this fundamental commitment was essential to the CMC CoIIN's measurement strategy. In this paper, we examine key learnings from partnering with family leaders from interdisciplinary state teams in the CMC CoIIN to identify and define quantitative quality improvement measures to improve care and support for CMC and their families, including quality of life, well-being, and flourishing; unmet health needs; and support systems such as medical home, patient and family engagement, and shared plans of care. Codesigning the CMC CoIIN measurement strategy with family leaders greatly enhanced our measurement approach and provided numerous unique learning opportunities for the CMC CoIIN's project team and state teams. [ABSTRACT FROM AUTHOR]

In response to a number of emerging issues, in 2017 the federal Maternal and Child Health Bureau funded its first collaborative quality improvement network aimed at improving the quality of life for children with medical complexity, the well-being of their families and the cost-effectiveness of their care. This paper is intended as a brief introduction to the Collaborative Improvement and Innovation Network to Advance Care for Children with Medical Complexity or CMC CoIIN project. In it, you will learn about the origins of the project, the guiding principles used to cocreate and promote measurable, meaningful family engagement in systems-level change efforts, its goals and objectives, the impact of the coronavirus disease 2019 pandemic on the project and some high-level learnings from our experiences, which have implications for future care delivery improvements for this growing and vulnerable population of children. [ABSTRACT FROM AUTHOR]

Objective To analyze the cost-effectiveness of carotid endarterectomy carotid endarterectomy (CEA) and medical therapy for asymptomatic carotid stenosis in Chinese patients over 70 years old. Methods Based on the data of different out- comes of asymptomatic carotid stenosis patients who were followed up by CEA and drug therapy for 10 years, a Markov mod- el was established to simulate the cost-effectiveness of the two treatments for 10 years. The outcome index was incremental cost-effectiveness ratio (ICER), which was the ratio of increased cost to increased quality-adjusted life years (QALY), and the thresholds of ICER and willingness to pay (WTP) were compared. In this paper, scenario analysis was carried out, and uncertainty test was carried out by single factor sensitivity analysis and probability sensitivity analysis. Results In the basic case analysis, the patients who received CEA could get 7.53 QALYs, the corresponding cost was 67 079.61 yuan and 31 982.38 yuan, and the ICER was 129 435.97 yuan / QALY, which was lower than the threshold of WTP. In scenario analysis, the ICER was 127 946.82 yuan / QALY and 240 283.17 yuan/ QALY, respectively. The annual mortality of patients after CEA, the operation cost of CEA, and the perioperative mortality after CEA had great influence on the fluctuation of ICER. Conclusion According to the economic evaluation recommendation of WHO, the increased cost of CEA compared with drug therapy is acceptable for Chinese patients with asymptomatic carotid artery stenosis over 70 years old. [ABSTRACT FROM AUTHOR]

Due to limited resources and constant, ever-changing healthcare challenges, health economics is essential to support healthcare decisions while improving health outcomes. Economic evaluation methodology facilitates informed decision-making related to the efficient allocation of resources while positively impacting clinical practice. In this paper, we provide an overview of economic evaluation methods and a real-world example applying one method of economic evaluation (cost-utility analysis) in nursing research. [ABSTRACT FROM AUTHOR]

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Purpose: The work aims to propose a comprehensive design framework for additive manufacturing and apply it to a case study of the height adjuster handle of a car. The aim is to provide designers and engineers with a practical example of how the framework can be used to design a complex part for additive manufacturing. The article also aims to demonstrate the potential benefits of additive manufacturing in the automotive industry, such as improved performance, reduced times, and cost savings. Additionally, the article aims to compare the developed framework with existing design for additive manufacturing (DFAM) methodologies and highlight its unique features and advantages in designing the height adjuster handle. Design/methodology/approach: The study used qualitative and quantitative data collection and analysis methods. The first phase of the study involved a systematic review of existing DfAM methodologies and a critical analysis of their strengths and weaknesses. Based on this analysis, a new DfAM framework is developed, which aims to address the limitations of existing frameworks and provide a comprehensive design approach for additive manufacturing. The second phase of the study involved applying the developed framework to a case study of a complex automotive part - a height adjuster handle. The design requirements of the height adjuster handle were identified based on the principles of DfAM, and the part was designed using computer-aided design (CAD) software and optimised topologically using ANSYS software. In the third phase, the performance of the height adjuster handle designed using the developed framework was compared with a part manufactured with injection moulding technology. The comparison was based on various performance criteria, including mechanical properties, dimensional accuracy, and production time and cost. Findings: The findings of the study demonstrate the effectiveness of the developed design framework for additive manufacturing (DfAM) in producing a complex automotive part with improved performance characteristics and reduced lead time. Research limitations/implications: Although the results of the study provide important insights into the effectiveness of the developed DfAM framework for producing a complex automotive part, there are some limitations to the research that should be considered, such as the case study involved the design of a single part, and the results may not be generalisable to other parts or applications. Further research is needed to validate the effectiveness of the DfAM framework for a broader range of automotive parts. Practical implications: The findings of the study have important practical implications for the automotive industry. The developed DfAM framework can be used in the FDM technology. It can be used as a decision aid in the manufacturing of FDM parts in order to improve the efficiency and cost-effectiveness of the production process for complex automotive parts. Originality/value: The value of the study is the development of a novel DfAM framework and the demonstration of its effectiveness in a case study. The proposed framework can be used as a reference for future research. It can also provide practical guidance for industry professionals seeking to improve the efficiency and cost-effectiveness of their additive manufacturing processes. [ABSTRACT FROM AUTHOR]

This paper investigates how female presence in political institutions influences local governments' cost efficiency, implementing a one-stage stochastic frontier model, based on a panel of Italian municipalities, with municipal fixed effects. The empirical results provide significant evidence for the presence of a gender effect in politics: higher efficiency is observed in municipalities with a female mayor and a greater presence of women in their councils. Further, the gender effect is confirmed taking into account the regional perspective, that is, the historic North–South Italian dualism, and performing several robustness checks. The empirical results support the usefulness of policies aimed at favouring female empowerment and at promoting gender equality in politics. [ABSTRACT FROM AUTHOR]

Today, U-shaped production cells play an important role in manufacturing, as their flexibility allows for highly efficient production with a small number of operators. Since the cost of human resources has a significant impact on the total cost of the overall production process and the assignment of operators to tasks can have a major impact on the efficiency of the production process, it is important to develop design methods that allow the assignment of resources to tasks in a way that maximizes the efficiency of the U-cell manufacturing system. In this paper, the authors present a mathematical model for assigning operators to task sets using different objective functions. Calculations based on the presented mathematical model demonstrate that, given a suitable choice of objective functions, it is possible to determine an optimal operator-task assignment that can improve the efficiency of the manufacturing system. [ABSTRACT FROM AUTHOR]

Machine learning for medical ultrasound imaging encounters a major challenge: the prohibitive costs of producing and annotating clinical data. The issue of cost vs size is well understood in the context of clinical trials. These same methods can be applied to optimize the data collection and annotation process, ultimately reducing machine learning project cost and times in feasibility studies. This paper presents a two-phase framework for quantifying the cost of data collection using iterative accuracy/sample size predictions and active learning to guide/optimize full human annotation in medical ultrasound imaging for machine learning purposes. The paper demonstrated potential cost reductions using public breast, fetal, and lung ultrasound datasets and a practical case study on Breast Ultrasound. The results show that just as with clinical trials, the relationship between dataset size and final accuracy can be predicted, with the majority of accuracy improvements occurring using only 40–50% of the data dependent on tolerance measure. Manual annotation can be reduced further using active learning, resulting in a representative cost reduction of 66% with a tolerance measure of around 4% accuracy drop from theoretical maximums. The significance of this work lies in its ability to quantify how much additional data and annotation will be required to achieve a specific research objective. These methods are already well understood by clinical funders and so provide a valuable and effective framework for feasibility and pilot studies where machine learning will be applied within a fixed budget to maximize predictive gains, informing resourcing and further clinical study. [ABSTRACT FROM AUTHOR]

3D documentation in forensics and forensic medicine is being introduced more frequently in various institutes around the world. However, several institutes lack capacity in finances as well as staff to perform 3D documentations regularly. This technical paper aims to present a 3D documentation device that is low cost and easy to use and is a viable entry level solution for forensic medical departments. For this the small single-board computer Raspberry Pi 4 was used in conjunction with its high quality (HQ) camera module to create the 3DLamp - a flexible, low cost and easy to use documentation device. Besides a detailed description of the device this paper also presents four case examples where a 3D documentation was performed and analyses the acquired data and the created 3D models. It was found that the device returns feasible 3D models that appear usable for forensic 3D reconstructions. • Forensic 3D documentation often requires specialised expensive equipment and educated staff. • Raspberry Pi computers present an affordable alternative to create a 3D documentation device that can be used in forensics. • The presented 3DLamp is a low cost, mobile and easy to use device for 3D documentations in forensics. [ABSTRACT FROM AUTHOR]

Household residential location changes have become an important life event to study changes in travel behaviour. However, most related studies suffer from the shortcomings of collecting retrospective pre-move data, i.e. recall errors and ex-post rationalisation of change. What is more, the overwhelming majority of research in the field relies on quantitative data that do not adequately reflect the subjective perspective of the households or individuals under study, and that are prone to causality issues. Based on a solid theoretical discussion of causality between the built environment (on two interconnected scales) and travel behaviour, the paper reports on a mixed-methods (qualitative/quantitative) panel survey among movers and a control group of non-movers in Germany. Substantial effort was required to conduct the survey due to the dependence on collaboration partners who provided access to households planning to move in the near future. Therefore the paper focuses on the sampling and recruitment process, for which various channels were used. Results pertaining to representativeness and the costs and effectiveness of recruitment channels are presented, and implications for data analysis are briefly discussed. Conclusions are drawn with respect to the relevance of the approach for researchers and practitioners. • Discusses experiences with a mixed-methods panel research design. • Aims to establish solid foundation for causal influences of built environment on travel behaviour. • Before-and-after survey combined with qualitative interviews of relocating households. • Discusses representativeness and effectiveness and unit cost of recruitment channels. [ABSTRACT FROM AUTHOR]

Hydrogen (H2) combustion and solid oxide fuel cells (SOFCs) can potentially reduce aviation-produced greenhouse gas emissions compared to kerosene propulsion. This paper outlines a methodology for evaluating performance and emission tradeoffs when retrofitting conventional kerosene-powered aircraft with lower-emissionH2 combustion and SOFC hybrid alternatives. The proposed framework presents a constant-range approach for designing liquid hydrogen fuel tanks, considering insulation, sizing, center of gravity, and power constraints. A lifecycle assessment evaluates greenhouse gas emissions and contrail formation effects for carbon footprint mitigation, while a cost analysis examines retrofit implementation consequences. A Cessna Citation 560XLS+ case study shows a 5% mass decrease for H2 combustion and a 0.4% mass decrease for the SOFC hybrid, at the tradeoff of removing three passengers. The lifecycle analysis of green hydrogen in aviation reveals a significant reduction in CO2 emissions for H2 combustion and SOFC systems, except for natural-gas-produced H2 combustion, when compared to Jet-A fuel. However, this environmental benefit is contrasted by an increase in fuel cost per passenger-km for green H2 combustion and a rise for natural-gas-produced H2 SOFC compared to kerosene. The results suggest that retrofitting aircraft with alternative fuels could lower carbon emissions, noting the economic and passenger capacity tradeoffs.