bluuebunny/crossref_metadata_2025_split huggingface dataset:
Introduction
Authors: Samy Yiagadeesen , Adedeji Adeniran , Iraoya Augustine , Dutta Madhurjya Kumar , Fakmawii Jasmine Lal , Hao Wen 
Published: August 2023

AbstractIn this introductory chapter, the authors provide the context for the main research questions that their book examines. These questions—(1) Why—and under what circumstances—do some trade sectors create more jobs for women and others do not? (2) To what extent are the jobs created contributing to women’s economic empowerment? (3) What strategies and policies are needed to ensure these sectors work optimally?—address the relationship between trade and women’s economic empowerment from the perspective of small and medium-sized enterprises (SMEs) across six developing countries. The authors review the literature on trade and gender, identify gaps from that literature, and briefly discuss the research design that they have chosen for this project.
Trade and Women’s Economic Empowerment: Survey Results for SMEs Across Six Developing Countries
Authors: Samy Yiagadeesen , Adedeji Adeniran , Iraoya Augustine , Dutta Madhurjya Kumar , Fakmawii Jasmine Lal , Hao Wen 
Published: August 2023

AbstractIn this chapter, the authors present and discuss the survey data on trade and women’s economic empowerment that was collected for this project in 2021–2022 from 610 SMEs across the six developing countries selected for the study, namely Cambodia, Ghana, Madagascar, Nigeria, Senegal and Vietnam. The chapter includes basic contextual country-level information about trade, development and gender equality in the selected countries. The discussion of the survey results includes a comparison with secondary data from World Bank Enterprise Surveys. The authors find that SMEs face various challenges that are often context-specific and recommend that policy options be tailored to address these differences. Women-owned SMEs across the six country cases face varying levels of both gender-related and more general constraints. Among the recommendations in this chapter is the need for more gender-disaggregated data to understand the difference between women-owned exporting and non-exporting SMEs.
The Changing Face of COVID-19
Authors: Pachauri Saroj , Pachauri Ash 
Published: August 2023

AbstractEver since it began in 2019, the COVID-19 pandemic has been continuously evolving. Simultaneously, our understanding of the virus and its pathogenesis has advanced significantly. The authors track the changes that the pandemic has undergone over the last two years. In addition, they provide an overview of the chapters in the book which cover the health, economic, political, and educational dimensions of COVID-19 in several different countries.
The Impact of COVID-19 on Adolescents, Nodal Teachers, and Frontline Workers
Authors: Gogoi Aparajita , Manoranjini Mercy , Banerjee Rohini 
Published: August 2023

AbstractAdolescence is a critical developmental period that has the power to shape an individual’s dreams and future. Young people have been severely impacted by the COVID-19 pandemic. Closure of schools and non-formal education deprived them of learning opportunities and also of social engagement with their peers and educators. Prolonged lockdowns/closures and movement restrictions led to additional emotional and mental unrest and anxiety. Adolescents and youth, especially adolescent girls and young women, experienced higher levels of violence due to quarantine and isolation. The authors discuss the effects of these ground realities on access to health services and education during the COVID-19 lockdowns. They highlight important issues and make recommendations for policy dialogue and advocacy around critical areas like vulnerability to COVID-19 infection, physical abuse, limited access to mobile phones, disruption of supply chains, adolescent-friendly counseling, dealing with violence, early marriage, school drop-outs, and trafficking. Recommendations are made to decision-makers and program implementers for addressing barriers to access timely and appropriate care.
Communication Strategies to Build Vaccine Confidence in Vulnerable Populations in the United States
Authors: Velázquez J. Carlos , Burke-Garcia Amelia 
Published: August 2023

AbstractThe authors address the communication challenges of the disparate impact of COVID-19 on vulnerable populations in the USA including Latino, African American, American Indian populations, and older adults. They examine the barriers that mitigate vaccine confidence and testing efforts. They also highlight the successful communications strategies that were used to engage vulnerable populations at a grassroots level to own and organize vaccine promotion efforts in local communities and to shift the narratives about vaccine hesitancy. Three case studies are presented to provide tools and resources that can be implemented for ongoing communication interventions to promote COVID-19 vaccine uptake.
Exploring a Vaccine for the Misinformation Virus in a Global Pandemic: Media Literacy, COVID, and Science Communication
Authors: Muppidi Sundeep R. 
Published: August 2023

AbstractI explore the questions raised at the end of my recent book on “COVID-19, Racism and Politicization: Media in the midst of a pandemic”. For this chapter, I extend on that book to explore the socio-cultural, politico-economic, and digital context of media audiences’ consumption of information, misinformation, and disinformation and their innate ability (or lack thereof) to distinguish factual information and/or fall prey to false and misleading information (or not). The impact of such media consumption, how it breeds irrational fears of the unknown and opposing views, and its impact on participation in civil society are explored. I conclude by suggesting possible strategies to counter this trend.
We Are Not All in the Same Boat: Refugees and Asylum Seekers in the Context of COVID-19
Authors: Philo Magdalene A. , Whiting Michelle , Rangel-Samponaro Felicia , Tower Amali 
Published: August 2023

AbstractThe COVID-19 pandemic has exacerbated the existential risks and uncertainties experienced by refugees and asylum seekers on a day-to-day basis. Although the pandemic presents some level of risk to everyone, the world’s refugees and asylum seekers bear a disproportionate burden of risk in the context of COVID-19. Overcrowding in camps, lack of access to medical services, changes to the asylum-seeking process, movement restrictions, and other factors converge to marginalize refugees and asylum seekers. This chapter presents a case study that looks at the experiences of asylum seekers at the US-Mexico border through the lens of a non-governmental organization (NGO) volunteer who has been working in the region throughout the pandemic. By using this case study and secondary level research, the authors seek to provide an understanding of the ways the pandemic has aggravated the challenges refugees and asylum seekers are facing globally, with an emphasis on the US-Mexico region.
COVID-19 in Brazil: Overall Impact and Singularities
Authors: Vaz de Macedo Antonio 
Published: August 2023

AbstractSince its outbreak in late 2019, the COVID-19 pandemic has spread at an alarming rate across the globe, with a case tally of over 370 million and a death toll of more than 5.6 million as of late January 2022. Ranking third among the world’s most affected hotspots, Brazil was by far the hardest hit among its Latin American neighbors, with over 25 million cases and a death toll in excess of 625,000, which places it second worldwide. The actual toll is likely higher. It is underestimated because of limited testing and inconsistency in nationwide cause-of-death reporting. Brazil is one of the largest developing free market economies in the world. It is, however, tainted by having one of the highest socioeconomic disparities, with roughly a fifth of its population living under the poverty line, with little access to basic sanitary facilities. On the positive side, Brazil has the largest publicly funded healthcare system in the world. Despite having lagged behind vaccination rollout initially, it took a giant leap over the past six months, which resulted in two-thirds of its population being vaccinated. There was also a tremendous drop in both SARS-CoV-2 cases and death rates. Unfortunately, cases have begun to swell again with the advent of Omicron. In this chapter, we discuss the overall impact of the COVID-19 pandemic in the country, with a particular focus on underserved minorities.
Comprehensive Care Response and Systematic Management of COVID-19 in Querétaro, Mexico
Authors: Aguilar Galarza Adriana , Celada Martínez Sandra , San Roman Orozco Oscar , Gutiérrez Álvarez Isidro Amadeo , Rosillo Pantoja Izarelly , Villaseñor Cuspinera Nuri G. 
Published: August 2023

AbstractThe health impact of the pandemic in Queretaro, México is assessed. The socioeconomic conditions of the population and health policies implemented at the federal and state level as well as in the Universidad Autonoma de Queretaro are examined. The work is presented in three parts: In the first part, epidemiological data related to the incidence, prevalence, and mortality from COVID-19 in Mexico and Querétaro is presented. In the second part, the epidemiological panorama of Queretaro is presented as an analysis tool to assess the epidemiological behavior of the population and the social, economic, and health conditions in the state. Finally, in the third part, health policies implemented by the state university and the experience of an integrative care model, implemented in the ‘Clinica de Atencion Integral COVID’, which provides multidisciplinary assessment and treatment for COVID-19, is presented.
A note on RG domain wall between successive $$ {A}_2^{(p)} $$ minimal models
Authors: Poghosyan Armen , Poghosyan Hasmik 
Published: August 2023

Abstract
We investigate the RG domain wall between neighboring $$ {A}_2^{(p)} $$

A
2

p

minimal CFT models and establish the map between UV and IR fields (matrix of mixing coefficients). A particular RG invariant set of six primary and four descendant fields is analyzed in full details. Using the algebraic construction of the RG domain wall we compute the UV/IR mixing matrix. To test our results we show that it diagonalizes the matrix of anomalous dimensions previously known from perturbative analysis. It is important to note that the diagonalizing matrix can not be found from perturbative analysis solely due to degeneracy of anomalous dimensions. The same mixing coefficients are used to explore anomalous W-weights as well.
Cost stickiness and firm value
Authors: Costa Mabel D , Habib Ahsan 
Published: August 2023

AbstractIn this paper we explore the association between cost stickiness and firm value. Using a large sample of U.S. data, we find a robust negative relationship between cost stickiness and firm value. We then explore whether the resource adjustment, managerial expectations, and agency theories of cost stickiness affect the negative relation and find support for the managerial expectation and agency theories. Furthermore, we find evidence that the detrimental impact of cost stickiness on firm value is mediated partially through the cost of equity and cash flow channels. Further investigation suggests that the adverse effects of cost stickiness on firm value is stronger in the presence of high information asymmetry. We enrich the cost management literature by integrating cost stickiness with corporate finance.
Comparison of different scoring systems for predicting in-hospital mortality for patients with Fournier gangrene
Authors: Azmi Yufi Aulia , Alkaff Firas F. , Renaldo Johan , Wirjopranoto Soetojo , Prasetiyanti Rinta , Soetanto Kevin Muliawan , Salamah Sovia , Purba Abdul Khairul Rizki , Postma Maarten J. 
Published: August 2023

Abstract
Purpose
To compare different scoring systems for predicting in-hospital mortality in patients with Fournier gangrene (FG).

Methods
A comprehensive literature search was performed to find all scoring systems that have been proposed previously as a predictor for in-hospital mortality in patients with FG. Data of all patients with FG who were hospitalized in one of Indonesia’s largest tertiary referral hospitals between 2012 and 2022 were used. The receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic performance of the scoring systems.

Results
Ten scoring systems were found, i.e., Fournier’s Gangrene Severity Index (FGSI), Uludag FGSI, simplified FGSI, NUMUNE Fournier score (NFS), Laboratory Risk Indicator for Necrotizing Fasciitis, age-adjusted Charlson comorbidity index, sequential organ failure assessment (SOFA), quick SOFA, acute physiology and chronic health evaluation II, and surgery APGAR score (SAS). Of 164 FG patients included in the analyses, 26.4% died during hospitalization. All scoring systems except SAS could predict in-hospital mortality of patients with FG. Three scoring systems had areas under the ROC curve (AUROC) higher than 0.8, i.e., FGSI (AUROC 0.905, 95% confidence interval (CI) 0.860–0.950), SOFA (AUROC 0.830, 95% CI 0.815–0.921), and NFS (AUROC 0.823, 95% CI 0.739–0.906). Both FGSI and SOFA had sensitivity and NPV of 1.0, whereas NFS had a sensitivity of 0.74 and an NPV of 0.91.

Conclusion
This study shows that FGSI and SOFA are the most reliable scoring systems to predict in-hospital mortality in FG, as indicated by the high AUROC and perfect sensitivity and NPV.
Tobamoviruses: old and new threats to tomato cultivation
Authors: Ishibashi Kazuhiro , Kubota Kenji , Kano Akihito , Ishikawa Masayuki 
Published: August 2023

AbstractMosaic diseases caused by tobamoviruses have posed significant threats to tomato production. In this review, we overview studies of tomato mosaic diseases published over the past century, which have led to several important discoveries in plant virology, such as the application of attenuated strains. A resistance breeding program established in the 1970s successfully controlled tomato mosaic virus for over 40 years; however, newly emerging tobamoviruses are posing serious challenges in current tomato production. We introduce recent biotechnological attempts to engineer tobamovirus-resistant tomato plants, which offer promising technologies for eradicating the current outbreak.
Can shrimp hydrolysate improve the efficacy of meat and bone meal diet in juvenile giant trevally Caranx ignobilis?
Authors: Nguyen Minh Chau , Fotedar Ravi , Pham Hung Duc 
Published: August 2023

AbstractA six-treatment study in a 3 × 2 factorial design was conducted to investigate whether dietary supplementation of shrimp hydrolysate (SH) improves the efficacy of meat and bone meal (MBM) replacing fishmeal protein in juvenile giant trevally Caranx ignobilis. A fishmeal-based diet (MBM0) was used as a control; two low fishmeal diets were prepared by replacing 25% (MBM25) and 50% (MBM50) of fishmeal protein with MBM; and another three treatments by supplementing MBM0, MBM25, and MBM50 with 45-g/kg SH supplementation (MBM0SH, MBM25SH, MBM50SH) were produced. The results showed that fish fed MBM25 and MBM50 caused lower growth and feed utilization than MBM0, whereas no differences were observed among fish fed MBM25SH, MBM50SH, and MBM0. Increasing dietary MBM levels resulted in decreased lipids in fish muscles and increased ash contents, while SH supplementation improved the muscle lipid levels. Substituting fishmeal with MBM increased monounsaturated fatty acids (MUFA) and decreased polyunsaturated fatty acids (PUFA), n-3 polyunsaturated fatty acid (n-3 PUFA), n-3 highly unsaturated fatty acids (n-3 HUFA), and n-3/n-6 HUFA, whereas SH supplementation enhanced n-3 PUFA, n-3 HUFA, and n-3/n-6 HUFA. The goblet cell density in the intestine increased in fish fed diets supplemented with SH. The study suggested that dietary supplementation of 45-g/kg SH increased the efficacy of substituting MBM protein for 50% of fishmeal protein without compromising the growth of juvenile giant trevally.
Boosting and Predictability of Macroeconomic Variables: Evidence from Brazil
Authors: Schultz Lindenmeyer Guilherme , da Silva Torrent Hudson 
Published: August 2023

AbstractThis paper aims to elaborate a treated data set and apply the boosting methodology to monthly Brazilian macroeconomic variables to check its predictability. The forecasting performed here consists in using linear and nonlinear base-learners, as well as a third type of model that has both linear and nonlinear components in the estimation of the variables using the history itself with lag up to 12 periods. We want to investigate which models and for which forecast horizons we have the strongest performance. The results obtained here through different evaluation approaches point out that, on average, the performance of boosting models using P-Splines as base-learner are the ones that have the best results, especially the methodology with two components: two-stage boosting. In addition, we conducted an analysis on a subgroup of variables with data available until 2022 to verify the validity of our conclusions. We also compared the performance of boosted trees with other models and evaluated model parameters using both cross-validation and Akaike Information Criteria in order to check the robustness of the results.
Lean approach in the application of new technologies: integration of risk, situational awareness, and resilience by a prehospital emergency medical service
Authors: Cintora-Sanz Ana María , Colmenar-García Carmen , Gómez-Usabiaga Cristina , García-Martinez Ricardo , Lafuente-Saenz Raquel , Sierra-García Teresa , Montero-Pernía Carmen , Blanco-Lara Alberto , Vázquez-Rodríguez Tatiana , Horrillo-García Cristina 
Published: August 2023

AbstractAfter an earthquake or an industrial chemical release, a timely and effective response is crucial and can prevent or significantly reduce the risk of casualties. To this end, first responders and rescue teams have been equipped with state-of-the-art tools and specialised instruments to improve their capabilities in terms of accuracy, rapid location, and reduction of false alarms. The European Union-funded Search and Rescue project (Emerging technologies for the Early location of Entrapped victims under Collapsed Structures and Advanced Wearables for risk assessment and First Responders Safety in SAR operations) has designed, implemented and tested a highly compatible open architecture platform for first responders in a pilot case study of a chemical incident. An analysis of major chemical accidents classified by the eMars database (Major Accident Reporting System, established by the European Seveso Directive) was carried out; it has determined the types of companies that have suffered chemical accidents with the highest number of injuries and fatalities. Based on this previous analysis, a chemical spill pilot study was devised to test advanced user equipment systems and backup applications, improving first responders’ decision-making and providing a common, dynamic operational perspective of the disaster. The Lean Method was used to evaluate processes, identify waste, test new solutions and, finally, increase the value of the product and service produced.
FindVehicle and VehicleFinder: a NER dataset for natural language-based vehicle retrieval and a keyword-based cross-modal vehicle retrieval system
Authors: Guan Runwei , Man Ka Lok , Chen Feifan , Yao Shanliang , Hu Rongsheng , Zhu Xiaohui , Smith Jeremy , Lim Eng Gee , Yue Yutao 
Published: August 2023

AbstractNatural language (NL) based vehicle retrieval is a task aiming to retrieve a vehicle that is most consistent with a given NL query from among all candidate vehicles. Because NL query can be easily obtained, such a task has a promising prospect in building an interactive intelligent traffic system (ITS). Current solutions mainly focus on extracting both text and image features and mapping them to the same latent space to compare the similarity. However, existing methods usually use dependency analysis or semantic role-labelling techniques to find keywords related to vehicle attributes. These techniques may require a lot of pre-processing and post-processing work, and also suffer from extracting the wrong keyword when the NL query is complex. To tackle these problems and simplify, we borrow the idea from named entity recognition (NER) and construct FindVehicle, a NER dataset in the traffic domain. It has 42.3k labelled NL descriptions of vehicle tracks, containing information such as the location, orientation, type and colour of the vehicle. FindVehicle also adopts both overlapping entities and fine-grained entities to meet further requirements. To verify its effectiveness, we propose a baseline NL-based vehicle retrieval model called VehicleFinder. Our experiment shows that by using text encoders pre-trained by FindVehicle, VehicleFinder achieves 87.7% precision and 89.4% recall when retrieving a target vehicle by text command on our homemade dataset based on UA-DETRAC [1]. From loading the command into VehicleFinder to identifying whether the target vehicle is consistent with the command, the time cost is 279.35 ms on one ARM v8.2 CPU and 93.72 ms on one RTX A4000 GPU, which is much faster than the Transformer-based system. The dataset is open-source via the link https://github.com/GuanRunwei/FindVehicle, and the implementation can be found via the link https://github.com/GuanRunwei/VehicleFinder-CTIM.
First steps of pollinator-promoting interventions in Eastern European urban areas – positive outcomes, challenges, and recommendations
Authors: Süle Gabriella , Kovács-Hostyánszki Anikó , Sárospataki Miklós , Kelemen Tünde Ilona , Halassy Gabriella , Horváth Anna , Demeter Imre , Báldi András , Szigeti Viktor 
Published: August 2023

AbstractUrbanisation has a strong role in pollinator decline, while properly managed green spaces could promote pollinators – especially bees and butterflies – by providing foraging and nesting habitats in cities. In public spaces, several opportunities exist to help pollinators including rare mowing, flower strip sowing, and bee hotel establishment. However, pollinator-promoting interventions are almost lacking and still understudied in Eastern Europe. We aimed to investigate the impact of rare mowing and annual flower-sowing interventions on pollinators, floral resources, and vegetation attributes in three case studies within Hungary. We compared treatment (extensively mown or sown) and control (intensively mown) site pairs during five sampling occasions within a season. We found positive, but due to the severe drought and management inaccuracies relatively minor effect of both interventions. The extensively mown sites presented higher and greener vegetation with more flowers and pollinators. The sown flower patches provided floral resources and supported the pollinators in the second half of the season, while they were scarcely visited in spring and early summer due to the annual soil scarification and re-sowing. Although the two types of interventions could complement each other during the season, there is room for further improvements. To reach resilient urban ecosystems against climate and environmental changes, we recommend using primarily native and mostly perennial seeds, combining intervention types, planning for the long-term, and avoiding management inaccuracies (e.g. unplanned mowing). Promoting and monitoring plant-pollinators systems may increase the diversity and human well-being in cities, while citizens’ involvement can facilitate these interventions.