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Juvenile Idiopathic Arthritis (JIA) causes caregiver burden on families with children affected with it. Our study aimed to explore this multifaceted burden in the Indian context. In this cross-sectional study, we administered the Hindi translated CAREGIVER questionnaire to adult caregivers in the families of JIA patients ≤ 18 years. The responses to the 28 items were used to calculate the burden scores in various dimensions. The relationship of the global burden scores with demographic and socioeconomic factors were analysed. Non parametric tests were used. Two hundred twenty-one caregivers participated with a median age of 39 years (IQR 32–45). This included 116 fathers, 50 mothers, 32 brothers, 18 uncles, three grandfathers, one sister, and one grandmother. The JIA patients had a median age of 15 (12–17) years, and the male-to-female ratio was 3.2:1. Enthesitis-related arthritis was the predominant subtype (72.4%). Most caregivers (70.6%) expressed sadness at diagnosis, and 29.9% continued to express sadness. Nearly two-thirds (65.6%) had to borrow money from others. More than half (59.3%) of the caregivers neglected their health, and 9.0% became sick. Male gender of the child, systemic JIA subtype, low socioeconomic status, high disease activity, extra-articular damage, high parent-reported disease activity and poor quality of life were associated with higher global caregiver burden. JIA has a significant emotional, social, economic, and labour impact on caregivers. Economic and psychosocial support needs to be given to family caregivers caring for children with JIA. Key Points • JIA causes a chronic emotional toll on caregivers, which is aggravated by high disease activity in the child. • Caregivers from rural areas and lower socioeconomic groups face disproportionate economic burden, often aggravated by losing jobs due to caregiving responsibility. • The use of biologics was low despite high disease activity, highlighting the need for financial support. • Parent-reported outcome measures significantly correlated with caregiver burden, underscoring the importance of integrating family perspectives in care. [ABSTRACT FROM AUTHOR]

The digitization of agriculture is widely discussed today. But despite proven benefits, its acceptance in agricultural practice remains low. In small-structured areas, this trend is even more pronounced. There are even known cases where farmers initially purchased and used technology, but then stopped using it due to lack of profitability or other reasons. Interestingly, despite extensive research on precision agriculture technologies (PATs), the processes of adoption and phase-out with their associated economic impacts have never been studied. This paper provides a methodological framework for evaluating the economics of PAT deployment, taking into account changes during the period of use; the framework provides decision rules for determining the appropriate time to phase out technology. Using a selected PAT, a farm model, and defined entry and exit scenarios, it was shown that farms with outdated technology and farms with retrofittable technology are at a significant economic disadvantage during implementation compared to farms already using technology suitable for site-specific fertilization or farms relying on the use of a contractor. And even in the event of a phase-out, the two disadvantaged starting conditions face significantly greater uncertainties and costs. Moreover, the decision to phase out in time is difficult, as making an informed and fact-based decision is not possible after the first year of use. Therefore, it is advisable that farmers are not only accompanied before and during phase-in, but also receive professional support during use. [ABSTRACT FROM AUTHOR]

Electronic contract signing requires the design of protocols that guarantee that the exchange is fair. In the past 5 years, we have observed that trusted third parties (TTPs) can be replaced by blockchain. However, none of the analyzed blockchain-based solutions meets the abuse-freeness requirement (established by Garay et al. in 1999), i.e., that neither party has the power to decide whether the protocol terminates or aborts. In this article, we present the first blockchain-based contract signing protocol that meets the abuse-freeness requirement. We analyze the economic impact that the use of blockchain has on the participants of a contract signing, concluding that the solution is both technically feasible and cost effective. [ABSTRACT FROM AUTHOR]

The Himalayan region and its surrounding area are one of the most seismically active zones in the world which have significant economic and societal impact. It governs the seismicity of highly populous countries like India, China, Pakistan, Nepal, Bhutan and Afghanistan which account for more than 40% population of the world. Therefore, the complex interaction between seismic parameters and transient seismic events needs to be thoroughly addressed at the regional scale. This study highlights the spatial distribution of earthquake hazard parameters and the temporal variation in seismicity of the Himalayas and its nearby regions by employing the maximum likelihood approach using historical records as well as instrumentally recorded earthquake data of the years 1900–2021. An empirical relation is developed to convert the body wave magnitude (Mb) and surface wave magnitude (Ms) to moment magnitude (Mw). The seismic parameters, namely maximum regional magnitude (Mmax), b-value, and mean seismicity rate (λ0), are estimated for 13 defined zones. Further, the seismic behaviours of the study area are evaluated through the return periods (RP) of earthquakes and the fractal dimension (Dc) of the individual zone. Considering the temporal variation of seismicity and RP of Mw ≥ 6, a new index , i.e. earthquake susceptibility index (ESI6), is developed to identify the zones which are susceptible to Mw ≥ 6 earthquakes. The zones: Central Himalayas 2 (CH2), Western Himalayas (WH), North of MCT 1 (NMCT1) and South of MCT 2 (SMCT2) are identified to be highly susceptible to earthquakes of Mw ≥ 6. The present analysis will motivate researchers and engineers from government and non-government organizations to collaborate for improved policy making in the seismically active Himalayan region concerning land-use planning, insurance, and catastrophe preparation. [ABSTRACT FROM AUTHOR]

Background: Anastomotic leakage (AL) remains a burdensome complication following colorectal surgery, with increased morbidity, oncological compromise, and mortality. AL may impose a substantial financial burden on hospitals and society due to extensive resource utilization. Estimated costs associated with AL are important when exploring preventive measures and treatment strategies. The purpose of this study was to systematically review the existing literature on (socio)economic costs associated with AL after colorectal surgery, appraise their quality, compare reported outcomes, and identify knowledge gaps. Methods: Health economic evaluations reporting costs related to AL after colorectal surgery were identified through searching multiple online databases until June 2023. Pairs of reviewers independently evaluated the quality using an adapted version of the Consensus on Health Economic Criteria list. Extracted costs were converted to 2022 euros (€) and also adjusted for purchasing power disparities among countries. Results: From 1980 unique abstracts, 59 full-text publications were assessed for eligibility, and 17 studies were included in the review. The incremental costs of AL after correcting for purchasing power disparity ranged from €2250 (+39.9%, Romania) to €83,633 (+ 513.1%, Brazil). Incremental costs were mainly driven by hospital (re)admission, intensive care stay, and reinterventions. Only one study estimated the economic societal burden of AL between €1.9 and €6.1 million. Conclusions: AL imposes a significant financial burden on hospitals and social care systems. The magnitude of costs varies greatly across countries and data on the societal burden and non-medical costs are scarce. Adherence to international reporting standards is essential to understand international disparities and to externally validate reported cost estimates. [ABSTRACT FROM AUTHOR]

Regional population mortality correlates with regional socioeconomic development. This study aimed to identify the key socioeconomic factors influencing mortality patterns in Chinese provinces. Using data from the Seventh Population Census, we analyzed mortality patterns by gender and urban‒rural division in 31 provinces. Using a functional regression model, we assessed the influence of fourteen indicators on mortality patterns. Main findings: (1) China shows notable gender and urban‒rural mortality variations across age groups. Males generally have higher mortality than females, and rural areas experience elevated mortality rates compared to urban areas. Mortality in individuals younger than 40 years is influenced mainly by urban‒rural factors, with gender becoming more noticeable in the 40–84 age group. (2) The substantial marginal impact of socioeconomic factors on mortality patterns generally becomes evident after the age of 45, with less pronounced differences in their impact on early-life mortality patterns. (3) Various factors have age-specific impacts on mortality. Education has a negative effect on mortality in individuals aged 0–29, extending to those aged 30–59 and diminishing in older age groups. Urbanization positively influences the probability of death in individuals aged 45–54 years, while the impact of traffic accidents increases with age. Among elderly people, the effect of socioeconomic variables is smaller, highlighting the intricate and heterogeneous nature of these influences and acknowledging certain limitations. [ABSTRACT FROM AUTHOR]

The present study attempts to spatial and temporal analysis of the reactions between urban commercial marketing and influencing economic factors in Mashhad City (Iran). For this purpose, statistical and spatial data from 18 selected commercial complexes and trading towers were collected using official documents, fieldwork observations, and surveys of some interviews for time windows of 2010 and 2020. The total annual revenue, as the commercial marketing indicator, was chosen as the dependent variable to indicate the mean productivity and profitability of shop stores in the case studies. Besides, eight factors, including commercial marketing and urban regional characteristics were chosen as independent factors. Results revealed that the mean values of commercial interest rates were recorded equal to 0.71 and 0.64 in 2010 and 2020, revealing the overall decrease in profitability of the commercial complexes within the recent decade. Despite the growing rate of construction of renewal mega projects and trading towers in the central district of Mashhad City, the marketing revenues and commercial interests had no positive relationships with city center profits in the recent decade. The land price market has severely changed the spatial structure and economy of Mashhad, such as commercial projects and marketing. It means that the main motivation for marketing in commercial complexes can be considered as regional land values instead of the traditional function of the religious city center. [ABSTRACT FROM AUTHOR]

Religious aid and development charities are quite numerous in the USA. However, it is unclear what the long-run economic and cultural impacts of religious philanthropy are within the recipient nation's affiliated population. To begin answering this question, this study employs descriptive methods by examining educational outcomes among Protestants in South Korea, following a 50-year effort by Protestant missionaries to establish formalized schools throughout the Korean Peninsula. Using modern data, the study finds a persistent, positive relationship between identifying as a Protestant and years of education across two datasets following South Koreans in different age cohorts. This relationship holds over the creation of the highly centralized South Korean education system, and the average years of education doubling over age cohorts in the sample. In addition to finding higher levels of education, the study finds that Korean Protestants are more likely to hold office or professional jobs but do not earn higher household incomes. Further indicating persistence, the study finds a cultural tie between current Korean Protestants and missionary aid based on the nation to which Korean Protestants feel closest to. Much of the observed economic relationship can be explained through religious attendance; however, the cultural missionary tie appears to be driven by Protestant affiliation. [ABSTRACT FROM AUTHOR]

Cognitive radio (CR) technology is crucial for enabling dynamic spectrum management. CR allows opportunistic spectrum sharing with licensed primary radio (PR) users by allowing the so-called secondary users to dynamically access the under-utilized parts of the frequency bands that are allocated/licensed to the PR networks (PRNs). The CR system pays a utilization-dependent price to PRNs for utilizing the unused spectrum. An essential challenge in this domain is how to characterize the economic implications of spectrum sharing between the CR system and PRNs. Specifically, we consider a CR system with two competing CR service providers. This market model is known as the "duopoly model," a market structure premise that consists of two companies providing the same type of service. For such a model, we investigate the problem of maximizing the overall achieved profit in the CR system. Specifically, we mathematically formulate the profit-maximization spectrum assignment problem for the two CR providers subject to spectrum sharing, power distribution, spectrum pricing, and quality of service constraints. We demonstrate that this optimization problem is an NP-hard binary nonlinear programming problem. Therefore, we adopt a meta-heuristic optimization method based on Antlion Optimization to solve the problem suboptimally. Simulation results revealed that our proposed profit-aware optimization significantly outperforms traditional CR-based spectrum access mechanisms. [ABSTRACT FROM AUTHOR]

Introduction: The coronavirus 2019 (COVID-19) pandemic led to a marked decrease in elective surgical volume and orthopaedic device sales. The aim of this paper was to quantify this decrease and the related financial impact on the largest hip/knee arthroplasty companies by: (1) tracking individual hip/knee company valuations; (2) calculating aggregate changes in overall hip/knee arthroplasty market valuations; and (3) quantifying quarterly hip/knee revenues relative to prior years. Materials and methods: Financial data on the top five hip/knee arthroplasty companies by size between January 1, 2019, and October 1, 2020, was collected from a Wall Street financial database, S&P Capital IQ. Changes in valuation of these companies were compared against benchmark market indices, the S&P500 and Vanguard Healthcare ETF. U.S. hip/knee arthroplasty-specific revenue for Q1 and Q2 of 2019 and 2020 was collected from Securities Exchange Commission 10-Q forms. Quarterly revenue changes were calculated using 1-2Q19 revenues as baselines and aggregate to approximate the overall hip/knee arthroplasty market. Results: The top five hip/knee companies lost $179.2 billion (32.7% loss) in market value from pre COVID-19 market highs to COVID-19 market lows (March 2020), while S&P500 and Vanguard Healthcare ETF decreased 36.1 and 33.2%, respectively. From market lows to October 2020, arthroplasty companies rallied 38.6% while the S&P500 and Vanguard Healthcare ETF regained 43.5 and 56.4% respectively. Notably, this occurred while aggregate 1Q/2Q20 revenue lagged 7.1/41.8% relative to 2019, with an overall decrease of $1.58B (24.8%). Conclusions: Similar to the overall market and healthcare sector, the top five hip/knee arthroplasty companies have recovered from their COVID market lows. Our results reveal that the valuations of hip/knee companies remained robust during COVID, even as revenues fell, likely due to strong investor confidence in the industry outlook and the greater overall healthcare system utilization. [ABSTRACT FROM AUTHOR]

While women globally make up nearly half of the fisheries workforce, their contribution to the sector has long been overlooked with implications for fisheries management. To assess women's participation in small-scale fisheries (SSF) management and related socio-cultural, environmental, and economic impacts, we conducted a systematic review of peer-reviewed literature (n = 124 case studies). Women had no or limited participation in more than 80% of the examined case studies reporting their participation level in SSF management. Women's exclusion from SSF management resulted in negative outcomes, whereas their active participation was associated with various positive impacts at multiple scales. Most of the documented impacts were socio-cultural, suggesting a gap in documenting environmental impacts stemmed from women's participation in SSF management. Importantly, most impacts reported affected the social-ecological system scale, suggesting that gender inclusion may contribute to improving the management of SSF social-ecological systems. We conclude by highlighting the need to foster gender perspectives in data collection methods used in fisheries research, in SSF management, and in ecological research on SSF social-ecological systems. [ABSTRACT FROM AUTHOR]

Background: Mild steel is globally used in the construction, manufacturing and engineering industries due to its low cost and appreciable stability. Despite its application, mild steel often loses its structural integrity, attractiveness and performance because of corrosion, a spontaneous process with serious negative global safety, economic and environmental impacts. However, inhibitors are frequently used in corrosion-inhibitive fluids to provide temporary corrosion protection. Various organic and inorganic molecules display inhibitory characteristics; nevertheless, most of these are remarkably lethal to humans and their surroundings. Therefore, the application of such molecules is limited in recent applications. As of today, there has been a continuous and ever-increasing curiosity about the use of green corrosion inhibitors of plant origin. The current article discusses the kinds of corrosion, corrosion progression and plant-based mild steel corrosion inhibitors. Evidently, diverse plant sources have continuously been sufficiently used as sensible protectors for mild steel deterioration. Short conclusion: Reports reveal an ever-increasing shift from the previous traditional synthetic to plant-based natural corrosion inhibitors in corrosive media. A wide range of natural plant-based corrosion inhibitors, the influence of the amount and temperature on inhibitory action and the motive for the shift are apparent. [ABSTRACT FROM AUTHOR]

The vegetable oil degumming process plays a critical role in refining edible oil. Phospholipids (PL) removal from crude extracted soybean oil (SBO) by the enzymatic degumming process has been investigated in this work. Enzymatic degumming of extracted SBO with microbial phospholipase A1 PLA-1 Quara LowP and Lecitase Ultra enzymes have also been studied comparatively. The main novelty of our work is the use of the enzymatic degumming process on an industrial scale (600 tons a day). Many parameters have been discussed to understand in detail the factors affecting oil losses during the degumming process. The factors such as chemical conditioning (CC) by phosphoric acid 85%, the enzyme dosage mg/kg (feedstock dependent), the enzymatic degumming reaction time, and the characteristics of the plant-processed SBO have been discussed in detail. As a main point, the degummed oil with a phosphorus content of < 10 mg/kg increases yield. Quara LowP and Lecitase Ultra enzymes are not specific for certain phospholipids PL; however, the conversion rate depends on the SBO phospholipid composition. After 4 h, over 99% of Phospholipids were degraded to their lysophospholipid LPL (lysolecithin). The results showed a significant effect of operating parameters and characteristics of different origins of SBO, fatty acids FFA content, Phosphorus content and total divalent metals (Calcium Ca, Magnesium Mg and Iron Fe mg/kg) content on the oil loss. The benefit of using enzymatic degumming of vegetable oils rather than traditional chemical refining is that the enzymatic degumming process reduces total oil loss. This decrease is known as enzymatic yield. The enzymatic degumming also decreases wastewater and used chemicals and running costs; moreover, it enables physical refining by lowering the residue phosphorus to < 10 mg/kg. [ABSTRACT FROM AUTHOR]

Due to its capacity to handle data in fundamentally novel ways and produce computational powers that were previously unreachable, the multidisciplinary subject of quantum computing has recently grown quickly and attracted significant interest from both academia and business. The full impact of quantum computing on healthcare has not yet been fully explored, despite its promise. The technology makes several important security recommendations. Healthcare has issues and obligations related to data privacy, and security is a crucial component. Quantum computing and its applications have positive effects on healthcare. This tool is useful for making healthcare predictions about a person. The models of technological evolution that were used in this study show the main technological trajectories in quantum computing (QC) as well as computers as well as their rates of development, which point to ground-breaking directions in quantum technology like quantum optics, quantum data, quantum method, quantum entanglement, quantum communication, and quantum cryptography with sports technology. [ABSTRACT FROM AUTHOR]

The literature on urban vitality tends to focus on the built environment. This paper argues that some important processes in shaping vitality may be overlooked without examining the intensity and diversity of economic and human activities. Using newly developed spatial big data and adopting the methods of multi-indicator measurement and spatial analysis methods, we analyzed the pattern of urban vitality in Chongqing, a provincial city in western China and, on this basis, evaluated the creation and maintenance of urban vitality from the economic and human activities perspective. Our findings indicate that the impacts of economic and human activities are positive and significant. Among the three intensity and diversity indicators, economic intensity and population density show an effect on urban vitality stronger than that of economic diversity. However, economic diversity has the strongest superposition or interactive effect, and is thus an important foundation dynamic. The positive effect of population density on urban vitality is largely a result of Chongqing's jobs-housing balance. The case of Chongqing highlights the importance of topographic features, historical inheritance, large-scale migration, and cultural activities in shaping the distinctive vitality pattern of a city. This study contends that the creation and maintenance of urban vitality can not be fully explained without incorporating the impacts of economic and human activities. It contributes to a comprehensive measurement of urban vitality and enriches its connotations. [ABSTRACT FROM AUTHOR]

Scyphozoan medusae are critical components of marine ecosystems; however, our knowledge on their population dynamics and life history needed to understand their role on ecosystem functioning is relatively scarce. We used data from fish-stock assessment cruises (1993–2013), artisanal fisheries and stranding events (2006–2007), to assess spatio-temporal variation in biomass, growth and reproduction, of a large and abundant scyphomedusae (Lychnorhiza lucerna) in a productive estuarine ecosystem (Río de la Plata Estuary, RLPE) (35°S-57°W) from the Southwestern Atlantic Ocean. Medusae consisted of sexually mature individuals only, occurring consistently during austral summer. Medusae biomass displayed a patchy distribution, concentrating mainly in two geographically different hot-spots associated to a frontal feature (turbidity front) of the RLPE. Individual size, relative fecundity, and degree of gonad development varied significantly between hot-spots. Biomass varied greatly among years. Bell diameter, wet weight, and percentage of fully developed oocytes increased during the first half of the summer but decreased during the second half of it. Our results suggest high predictability of the period of occurrence and the distribution of L. lucerna in the RLPE. Physical mechanisms of medusa aggregation, potential effects of medusae on zooplankton dynamics, fisheries production, and conservation of sea turtles, as well as their potential for the development of a local jellyfish fishery, are here discussed. This work provides novel information on patterns of distribution, growth and development of L. lucerna medusae, which can help to enhance our understanding of the role of large medusae on ecosystem functioning of marine ecosystems worldwide. [ABSTRACT FROM AUTHOR]

In this study, we introduce an experimental approach to study the causal impact of trust on economic performance. We ask if trust can serve as a coordination device to help poor economies escape a poverty trap and, if so, whether such an impact is universal regardless of their initial levels of development. We follow Lei and Noussair (2002, 2007) and design a decentralized market economy that has the structure of an optimal growth model where output is allocated between consumption and saving over a sequence of periods. As in Lei and Noussair (2007), a threshold externality is introduced to generate two equilibria where the Pareto-inferior equilibrium is considered as a poverty trap. We find that trust matters in that it is more likely for high-trust economies, generated with an endogenous matching procedure, to escape the poverty trap. But we also find that the likelihood to escape depends partially on the initial endowment condition. Trust has a much weaker impact on the economies whose initial capital and output are below the Pareto-inferior equilibrium, suggesting that formal institutions and/or policy measures may be needed to engineer a "big push" for these least developed economies. [ABSTRACT FROM AUTHOR]

In recent years, jassids have become a real problem for cotton growing in Ivory Coast. It is important to investigate the causes of this problem. The aim of this study was to highlight the diversity of jassid species and their impact on cotton growing in Ivory Coast. The collections carried out in 2021 identified three species. Jacobiasca lybica (Bergevin & Zanon, 1922) is the most abundant, with proportions ranging from 73.3 to 93.3% depending on the site. The other two species are Empoasca papayae (Oman, 1937) (8.3%) and Empoasca facialis (Jacobi, 1912) (5%). In 2022, collections revealed the invasion of a new species, Amrasca biguttula (Shiraki, 1913), which became dominant with proportions of 90 to 100% depending on the site. Two other species, Jacobiasca lybica (Bergevin & Zanon, 1922) (2.7%) and Empoasca facialis (Jacobi, 1912) (1.3%), cohabit with Amrasca biguttula (Shiraki, 1913). Thus, while the damage noted in 2021 was attributable to Jacobiasca lybica (Bergevin & Zanon, 1922), that observed in 2022 is essentially due to Amrasca biguttula (Shiraki, 1913), with incidences exceeding the economic impact threshold. The North-East of the cotton basin was the area most affected by attacks by these two species. The results of the study reveal significant changes in jassid species composition and climatic conditions in the cotton-growing areas of Ivory Coast, from 1 year to the next. This situation also explains the variations in damage levels. [ABSTRACT FROM AUTHOR]

Economic costs of climate change are conventionally assessed at the aggregated global and national levels, while adaptation is local. When present, regionalised assessments are confined to direct damages, hindered by both data and models' limitations. This article goes beyond the aggregated analysis to explore direct and indirect economic consequences of sea level rise (SLR) at regional and sectoral levels in Europe. Using a dynamic computable general equilibrium model and novel datasets, we estimate the distribution of losses and gains across regions and sectors. A comparison of a high-end scenario against a no-climate-impact baseline suggests a GDP loss of 1.26% (€871.8 billion) for the whole EU&UK. Conversely our refined assessments show that some coastal regions lose 9.56–20.84% of GDP, revealing striking regional disparities. Inland regions grow due to the displaced demand from coastal areas, but the GDP gains are small (0–1.13%). While recovery benefits the construction sector, public services and industry face significant downturns. We show that prioritising recovery of critical sectors locally reduces massive regional GDP losses, at negligible costs to the overall European economy. Our analysis traces regional economic restructuring triggered by SLR, underscoring the necessity of region-specific adaptation policies that embrace uneven geographic impacts and unique sectoral profiles to inform resilient strategy design. [ABSTRACT FROM AUTHOR]

Current approach to identify BRCA 1/2 carriers in the general population is ineffective as most of the carriers remain undiagnosed. Radiomics is an emerging tool for large scale quantitative analysis of features from standard diagnostic imaging and has been applied also to identify gene mutational status. The objective of this study was to evaluate the clinical and economic impact of integrating a radiogenomics model with clinical and family history data in identifying BRCA mutation carriers in the general population. This cost-effective analysis compares three different approaches to women selection for BRCA testing: established clinical criteria/family history (model 1); established clinical criteria/family history and the currently available radiogenomic model (49% sensitivity and 87% specificity) based on ultrasound images (model 2); same approach used in model 2 but simulating an improvement of the performances of the radiogenomic model (80% sensitivity and 95% specificity) (model 3). All models were trained with literature data. Direct costs were calculated according to the rates currently used in Italy. The analysis was performed simulating different scenarios on the generation of 18-year-old girls in Italy (274,000 people). The main outcome was to identify the most effective model comparing the number of years of BRCA-cancer healthy life expectancy (HLYs). An incremental cost-effectiveness ratio (ICER) was also derived to determine the cost in order to increase BRCA carriers-healthy life span by 1 year. Compared to model 1, model 2 increases the detection rate of BRCA carriers by 41.8%, reduces the rate of BRCA-related cancers by 23.7%, generating over a 62-year observation period a cost increase by 2.51 €/Year/Person. Moreover, model 3 further increases BRCA carriers detection (+ 68.3%) and decrease in BRCA-related cancers (− 38.4%) is observed compared to model 1. Model 3 increases costs by 0.7 €/Year/Person. After one generation, the estimated ICER in the general population amounts to about 3800€ and 653€ in model 2 and model 3 respectively. Model 2 has a massive effect after only one generation in detecting carriers in the general population with only a small cost increment. The clinical impact is limited mainly due to the current low acceptance rate of risk-reducing surgeries. Further multicentric studies are required before implementing the integrated clinical-radiogenomic model in clinical practice. [ABSTRACT FROM AUTHOR]

A global disaster, such as the recent Covid-19 pandemic, affects every aspect of our lives and there is a need to investigate these highly complex phenomena if one aims to diminish their impact in the health of the population, as well as their socio-economic stability. In this paper we present an attempt to understand the role of the governmental authorities and the response of the rest of the population facing such emergencies. We present a mathematical model that takes into account the epidemiological features of the pandemic and also the actions of people responding to it, focusing only on three aspects of the system, namely, the fear of catching this serious disease, the impact on the economic activities and the compliance of the people to the mitigating measures adopted by the authorities. We apply the model to the specific case of Spain, since there are accurate data available about these three features. We focused on tourism as an example of the economic activity, since this sector of economy is one of the most likely to be affected by the restrictions imposed by the authorities, and because it represents an important part of Spanish economy. The results of numerical calculations agree with the empirical data in such a way that we can acquire a better insight of the different processes at play in such a complex situation, and also in other different circumstances. [ABSTRACT FROM AUTHOR]

Introduction: New bone cement products have been developed attempting to shorten their setting time and thus cut down time in the operating room. This study determines whether faster-setting bone cement shortens time in the operating room, and whether the quantity used compromises postoperative TKA outcomes. Additionally, this study looks at cost analyses of the quantity of bone cement used in TKA procedures. Materials and methods: One-hundred and sixty patients at a single institution with primary TKA surgeries between January 2019 and December 2021, and a clinic follow-up of at least one year, were identified. Five cement products used in this time period were identified and categorized by fast- or slow-setting products if their set times were marketed below or above six minutes, respectively. Results: Estimated blood loss was higher in patients receiving fast-setting cements (160.0 vs 126.4 mL; p = 0.0009); however, operative time showed no difference between the cohorts (88.2 vs 89.2 min; p = 0.99). Fewer bags of cement were used for the fast cohort (1.3 vs 1.8 bags; p < 0.0001). The fast group was significantly cheaper on average per patient only when comparing between antibiotic bone cements (p = 0.007). No differences were found in postoperative outcomes between the two groups. Conclusions: No differences were found in operative times between the fast and slow cemented groups. Fewer bags of faster-setting cement only proved cost saving relative to other antibiotic bone cements studied. Nonetheless, decreased usage of fast cement did not result in any different postoperative outcomes compared to slow cements. Level of evidence: III. [ABSTRACT FROM AUTHOR]

The World Trade Organization (WTO) and European Union (EU) have both put forward tax reforms that impact fisheries’ fuel costs, which are similar in the object of taxation but quite different in the externalities addressed, goals, scope, exemptions or tax rates, creating an opportunity to compare the effects and discuss the alternatives. These proposals are the result of long and intense debates in political, social and academic spheres. However, certain aspects remain unclear. First of all, the number of empirical studies is still limited, particularly considering that fisheries governance is subject to heterogeneous management systems and institutional contexts creating room for different potential outputs. Second, coastal states have no fiscal competence beyond 12 miles, which limits the scope of the reforms to small scale fleets (SSF). All in all, the economic consequences for the fleets remain unclear. To this end, we will build on the Galician fishing sector (NW Spain) input–output tables to discuss the direct impacts, effects and side effects of these reforms on a representative European fleet. Flaws identified in both initiatives mean that targeted externalities will not be corrected and, moreover, additional ones, such as distributional effects penalising SSF or fuel spillovers, could be boosted. Alternative policy approaches are discussed. [ABSTRACT FROM AUTHOR]

The article titled "A mathematical model to investigate the interactive effects of important economic factors on the behaviors of retailers" has been retracted by the Editor-in-Chief and the publisher. The retraction was a result of concerns raised during an investigation, including compromised editorial handling and peer review process, inappropriate references, and being out of scope for the journal or guest-edited issue. The authors of the article disagree with the retraction. The online version of the article includes the full text as Supplementary Information. [Extracted from the article]

Nonprofit community service federations (CSFs) leverage collaborative relationships with community stakeholders and their own direct economic activity to impact local community outcomes. Under the Collective Impact Framework, CSFs influence community outcomes mainly by acting as backbone organizations, which provide central program support and fiscal management services for a nonprofit network of stakeholders and serve as a grantmaking fiscal intermediaries. There remains no standard approach to evaluate impact on community outcomes. Economic impact analysis has been underexamined in academic literature as an approach to community outcomes evaluation. This paper presents a case study of the United Way of Southwest Alabama (UWSWA) to demonstrate the use of economic impact as an outcomes measurement for use in collective impact program evaluation. Economic impact assessment using conventional input–output methodology provides a broad measure of the economic influence of the UWSWA on indicators of regional economic activity such as output, value-added, earnings, and employment. This study uses a 3-year (FY2017-FY2020) sample of financial data supplied by UWSWA to estimate its scope and scale of economic activity. The case of UWSWA demonstrates how economic impact analysis may complement other impact evaluation methods. The paper finds UWSWA generates substantial positive economic effects on its service region through both its grantmaking and business operations. [ABSTRACT FROM AUTHOR]

Graduate education is among the fastest growing segments of the U.S. higher educational system. This paper estimates the returns to Master’s degrees and examines heterogeneity in the returns by field area, student demographics and initial labor market conditions. We use rich administrative data from Ohio and an individual fixed effects model that compares students’ earnings trajectories before and after earning a Master’s degree. Findings show that obtaining a Master’s degree increased quarterly earnings by about 14% on average, but the returns vary largely across graduate fields. We also find gender and racial disparities in the returns, with higher average returns for women than for men, and for White than for Black graduates. In addition, by comparing returns among students who graduated before and under the Great Recession, we show that economic downturns appear to reduce but not eliminate the positive returns to Master’s degrees. There are important variations in the returns to Master’s degrees during the recession across field area and race/ethnicity. [ABSTRACT FROM AUTHOR]