bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sendai Framework’s Global Targets A and B: Opinions from the Global Platform for Disaster Risk Reduction’s Ignite Stage 2019
Authors: Ray-Bennett Nibedita S. , Clarke Krishna , Mendez Daniel 
Published: September 2022

AbstractThe Sendai Framework for Disaster Risk Reduction 2015−2030 set seven global targets of which the first two targets are to reduce disaster deaths (target A) and diminish the number of affected people globally (target B) by 2030. To realize these targets, the United Nations General Assembly’s Expert Working Group provided indicators to measure progress as well as terminologies for these targets in 2017. Research around these targets is nascent. This article contributes to the understanding of the targets by exploring: (1) what are the conditions that may hinder achieving targets, as well as those that may accelerate their achievement at the national and local levels; and (2) which types of organizations should lead a country’s effort to reduce disaster deaths? These questions were answered by opinion survey research carried out at the Sixth Session of the Global Platform for Disaster Risk Reduction. The participants identified disaster risk reduction efforts, early warning systems, awareness, finance and investment (among others) as the important facilitating factors to achieve targets A and B. Minimal investment in human security, lack of response and coordination, uncertainty of climate change, poor information, lack of campaigns and low budget allocation (among others) are considered as the important hindering factors for these targets by the participants. The findings also suggest that the facilitating and hindering variables of targets A and B are interconnected with global target E (disaster risk governance and capacity building). The majority of the participants thought that it is the national government who should lead in a country’s effort to reduce disaster deaths. Based on these findings, a few recommendations have been made to improve policy and practice related to the indicators as well as to reimagine theories so that targets A and B can be realized in alignment with target E at the national and local levels by 2030.
Data mining of scientific research on artificial intelligence in teaching and administration in higher education institutions: a bibliometrics analysis and recommendation for future research
Authors: Ullrich André , Vladova Gergana , Eigelshoven Felix , Renz André 
Published: September 2022

AbstractTeaching and learning as well as administrative processes are still experiencing intensive changes with the rise of artificial intelligence (AI) technologies and its diverse application opportunities in the context of higher education. Therewith, the scientific interest in the topic in general, but also specific focal points rose as well. However, there is no structured overview on AI in teaching and administration processes in higher education institutions that allows to identify major research topics and trends, and concretizing peculiarities and develops recommendations for further action. To overcome this gap, this study seeks to systematize the current scientific discourse on AI in teaching and administration in higher education institutions. This study identified an (1) imbalance in research on AI in educational and administrative contexts, (2) an imbalance in disciplines and lack of interdisciplinary research, (3) inequalities in cross-national research activities, as well as (4) neglected research topics and paths. In this way, a comparative analysis between AI usage in administration and teaching and learning processes, a systematization of the state of research, an identification of research gaps as well as further research path on AI in higher education institutions are contributed to research.
Brace for turbulence: EU Member States’ climate strategies in the aviation sector
Authors: Schmidt Nicole M. , Tobin Paul , Moore Brendan 
Published: September 2022

AbstractThe European Green Deal (EGD) aims to transform the European Union (EU) into a climate neutral continent by 2050, requiring significant changes within carbon-intensive sectors. In this article, we examine EU Member States’ climate strategies in the aviation sector, where greenhouse gas emissions have doubled since 1990. We analyse EU National Energy and Climate Plans (NECPs) in order to examine national commitments on aviation. How frequently do EU Member States refer to aviation in their NECPs, and how can these references be understood thematically? First, by conducting a content analysis on all 54 draft and final NECPs, we identify how frequently 11 aviation-related terms were used. While all states increased the number of aviation references between their draft and final NECPs, Central and Eastern states showed the smallest increase. We show that Southern and Western Member States reference aviation most frequently in their final NECPs. Second, in our thematic analysis, we identify three key themes—‘contextual information’, ‘public policy’, and ‘fuels and propulsion’—that we divide into 17 sub-themes. Approximately half of the themes focused on contextual information, such as current aviation emissions, with the other half focusing on carbon reduction strategies, especially the EU Emissions Trading System, biofuels, and taxation. Western EU states provided the largest number of concrete policy statements on reducing aviation emissions and the promotion of biofuels. There were only two references to reducing the number of flights, across almost 7500 pages of climate documents. We conclude that the NECPs represent a promising means of conducting cross-country climate policy analysis, in order to compare efforts across economic sectors within Europe. With our analysis, we create a pre-pandemic sectoral baseline for aviation which can be used for further study.
Applying unsupervised machine-learning algorithms and MUSIC back-projection to characterize 2018–2022 Hualien earthquake sequence
Authors: Jian Pei-Ru , Wang Yu 
Published: September 2022

AbstractThe city of Hualien in eastern Taiwan is located at the junction of the Luzon arc–Eurasian continent collision and the oblique subduction of the Philippine Sea plate along the Ryukyu Trench. This complex tectonic setting creates one of the most intense seismic hazards in the world. Since the mid-twentieth century, three earthquake sequences (1951, 1986–1992, and 2018–2022) have caused severe damages and revealed a diversity of focal mechanisms, demonstrating a complex seismogenic tectonic interactions of collisions and subductions. In this study, we used the two-dimensional back-projection method to examine rupture characteristics of three strong earthquakes during the latest sequence (2018–2022). We also studied the same earthquake sequence using unsupervised machine-learning via density-based spatial clustering of applications with noise (DBSCAN) and principal component analysis (PCA). Our results revealed two westward dipping seismogenic structures. The deeper one lies beneath the eastern flank of the Central Range and the shallower one rotates clockwise along the coastline from south to north. Overall, focal mechanisms within these two structures are consistent with planar geometries obtained using PCA. The deeper structure beneath the Central Range is likely an imbricated fault system. The coastline structure is characterized by a transition of strike and dip angles from south to north. We suggest that the subhorizontal nodal planes in earthquakes offshore Hualien are related to the shallow northward dipping patch in the northern part of the coastal structure. Our Coulomb stress change results revealed strong linkages between these two structures.
Identification of pupils’ preferences of patterners and dramatists in secondary school computer science education
Authors: Bentz Anette , Standl Bernhard 
Published: September 2022

AbstractWith the increasing integration of computer science into school curricula, a growing number of pupils are coming into contact with this subject. To get as many pupils as possible interested in computer science, the teaching strategies and methods must meet the heterogeneous prerequisites of the pupils. The purpose of this paper is to find out how to identify two different student behavioral preferences mentioned in the computer science education literature. Considering these preferences, the focus was set on the preferences for socially enriched learning on the one hand and task-oriented learning on the other hand. Even though related research has been found on the preferences of preschoolers and adults, research is missing in the field of computer science education at the secondary school level. Thus, this study focuses on the learning preferences of pupils in secondary school education regarding the two behavioral preferences. As a result, an instrument was developed and piloted that, validated by qualitative methods, measures these different preferences. Preliminary exploratory results from analyses with school classes show that preference clusters can be found in secondary education. Further research aims to use these findings to improve computer science education.
Assessing the Feasibility and Effectiveness of a Linkage Into Mental Health Care Program for Adults Affected by Hurricane Sandy
Authors: Schwartz Rebecca M , Corley Samantha S , Rasul Rehana , Bevilacqua Kristin G , Gonzalez Adam , Gillezeau Christina , Lieberman-Cribbin Wil , Taioli Emanuela 
Published: September 2022

Abstract

Objective:
Research indicates that greater exposure to Hurricane Sandy is associated with increased mental health difficulties. This study examined whether Project Restoration, a program that linked adults into mental health care (L2C), was effective in reducing post-Sandy mental health difficulties as compared to a cohort of adults matched on mental health difficulties that were not linked into post-Sandy mental health care.

Methods:
Project Restoration participants (n = 52) with elevated self-reported mental health difficulties had the option to enroll into L2C. Project LIGHT (n = 63) used similar methodologies but did not have a L2C component and served as the matched control group.

Results:
Multivariable modeling showed significant decreases in all mental health difficulties except for depression in the Project Restoration group, whereas there were no significant decreases in LIGHT. The decrease in anxiety from baseline to follow-up was significantly greater for Project Restoration as compared to LIGHT.

Conclusion:
Findings confirm the powerful impact community outreach and treatment have on reducing mental health difficulties after a disaster.
Utilization of the TRAIN Learning Network for Online Disaster Medicine and Public Health Training During the COVID-19 Pandemic
Authors: Malcolm Trent R. , Plotkin Ilya , Quintanilla Norma , Schuitema Kelly , Schuler Keke , Kirsch Thomas D. 
Published: September 2022

Abstract

Objective:
The coronavirus disease 2019 (COVID-19) pandemic dramatically accelerated a growing trend toward online and asynchronous education and professional training, including in the disaster medicine and public health sector. This study analyzed the impact of the COVID-19 pandemic on the growth of the TRAIN Learning Network (TRAIN) for the year 2020 and evaluated pandemic-related changes in use patterns by disaster and public health professionals.

Methods:
The TRAIN database was queried to determine the change in the number of registered users, total courses completed, and courses completed related to COVID-19 during 2020.

Results:
In 2020, a total of 755,222 new users joined the platform – nearly 3 times the average added annually over the preceding 5 y (2015-2019). TRAIN users completed 3,259,074 training courses in 2020, more than double the average number of training courses that were completed annually from 2015-2019. In addition, 17.8% of all newly added disaster and public health training courses in 2020 were specifically related to COVID-19.

Conclusion:
Online education provided by TRAIN is a critical tool for just-in-time disaster health training following a disaster event or public health emergency, including in a global health crisis such as a pandemic.
The Rise of China's Digital Economy: An Overview
Authors: Jiang Hong , Murmann Johann Peter 
Published: September 2022

ABSTRACTTo stimulate a debate about the rise of China's digital economy, this essay compares China and the US in one key area of the digital economy – e-commerce and internet-based services. China still lags behind the US in internet penetration, but it distinguishes itself by building a mobile-first, fiber-intensive, and inclusive digital infrastructure. A favorable infrastructure, innovations tailored to the large Chinese market, and local firms’ rapid commercialization of products and services turned the world's largest domestic population into active online consumers, helping China overtake the US by a large margin in retail e-commerce and digital payment. While China translated digital technologies into leading business-to-customer and customer-to-customer businesses, it has not been so successful in business-to-business services. The US is still ahead in the general-purpose technologies underlying the digital economy.
ON -ACTIONS ON K3 SURFACES IN POSITIVE CHARACTERISTIC
Authors: MATSUMOTO YUYA 
Published: September 2022

AbstractIn characteristic
$0$
, symplectic automorphisms of K3 surfaces (i.e., automorphisms preserving the global
$2$
-form) and non-symplectic ones behave differently. In this paper, we consider the actions of the group schemes
$\mu _{n}$
on K3 surfaces (possibly with rational double point [RDP] singularities) in characteristic p, where n may be divisible by p. We introduce the notion of symplecticness of such actions, and we show that symplectic
$\mu _{n}$
-actions have similar properties, such as possible orders, fixed loci, and quotients, to symplectic automorphisms of order n in characteristic
$0$
. We also study local
$\mu _n$
-actions on RDPs.
Effect of tillage frequency, seed rate, and glyphosate application on teff and weeds in Tigray, Ethiopia
Authors: Gebrehiwot Haftamu Gebretsadik , Aune Jens Bernt , Eklo Ole Martin , Torp Torfinn , Brandsæter Lars Olav 
Published: September 2022

Summary
Field experiments were conducted in 2015 and 2016 to study the effect of tillage frequency, seed rate, and glyphosate on teff and weeds. The experiments were arranged in a split plot design with three replications consisting of tillage frequency (conventional, minimum, and zero tillage) as the main plot and the combination of seed rate (5, 15, and 25 kg ha−1) and glyphosate (with and without) as subplots. Results showed that zero tillage reduced teff biomass yield by 15% compared to minimum tillage and by 26% compared to conventional tillage. Zero tillage and minimum tillage also diminished grain yield by 21% and 13%, respectively, compared to conventional tillage. Lowering the seed rate to 5 kg ha−1 reduced biomass yield by 22% and 26% compared to 15 and 25 kg ha−1, respectively. It also reduced the grain yield by around 21% compared to 15 and 25 kg ha−1 seed rates. Conventional tillage significantly diminished weed density, dry weight, and cover by 19%, 29%, and 33%, respectively, compared to zero tillage. The highest seed rate significantly reduced total weed density, dry weight, and cover by 18%, 19%, and 15%, respectively, compared to the lowest seed rate. Glyphosate did not affect weed density but reduced weed dry weight by 14% and cover by 15%. Generally, sowing teff using minimum tillage combined with glyphosate application and seed rate of 15 kg ha−1 enhanced its productivity and minimized weed effects.
Genomic prediction and genetic correlations estimated for milk production and fatty acid traits in Walloon Holstein cattle using random regression models
Authors: Paiva José Teodoro , Mota Rodrigo Reis , Lopes Paulo Sávio , Hammami Hedi , Vanderick Sylvie , Oliveira Hinayah Rojas , Veroneze Renata , Silva Fabyano Fonseca e , Gengler Nicolas 
Published: September 2022

AbstractThe aims of this study were to: (1) estimate genetic correlation for milk production traits (milk, fat and protein yields and fat and protein contents) and fatty acids (FA: C16:0, C18:1 cis-9, LCFA, SFA, and UFA) over days in milk, (2) investigate the performance of genomic predictions using single-step GBLUP (ssGBLUP) based on random regression models (RRM), and (3) identify the optimal scaling and weighting factors to be used in the construction of the H matrix. A total of 302 684 test-day records of 63.875 first lactation Walloon Holstein cows were used. Positive genetic correlations were found between milk yield and fat and protein yield (rg from 0.46 to 0.85) and between fat yield and milk FA (rg from 0.17 to 0.47). On the other hand, negative correlations were estimated between fat and protein contents (rg from −0.22 to −0.59), between milk yield and milk FA (rg from −0.22 to −0.62), and between protein yield and milk FA (rg from −0.11 to −0.19). The selection for high fat content increases milk FA throughout lactation (rg from 0.61 to 0.98). The test-day ssGBLUP approach showed considerably higher prediction reliability than the parent average for all milk production and FA traits, even when no scaling and weighting factors were used in the H matrix. The highest validation reliabilities (r2 from 0.09 to 0.38) and less biased predictions (b1 from 0.76 to 0.92) were obtained using the optimal parameters (i.e., ω = 0.7 and α = 0.6) for the genomic evaluation of milk production traits. For milk FA, the optimal parameters were ω = 0.6 and α = 0.6. However, biased predictions were still observed (b1 from 0.32 to 0.81). The findings suggest that using ssGBLUP based on RRM is feasible for the genomic prediction of daily milk production and FA traits in Walloon Holstein dairy cattle.
Effect of inclusion of bakery by-products in the dairy cow's diet on milk fatty acid composition
Authors: Khiaosa-ard Ratchaneewan , Kaltenegger Anna , Humer Elke , Zebeli Qendrim 
Published: September 2022

AbstractBakery by-products (BP), rich in fats and sugars, are unconventional feed sources for cows whose effects on milk fat composition have not yet been evaluated. This research paper aimed to assess the effects of dietary BP inclusion rate and feeding period on the milk fatty acid composition. Twenty-four Simmental cows were fed a diet without BP (CON) for 1 week. Then they either continued with the CON diet or switched to one of the BP diets (with 15% or 30% BP in diet dry matter) for 3 weeks. Milk samples were taken before diet change and three times during BP feeding and analysed for fatty acid composition. Data showed that increasing BP content in the diet increased total fatty acid intake, especially of 18 : 1 n9. In the milk fat, the percentages of total monounsaturated fatty acids especially of the 18 : 1 origin linearly increased with increasing dietary BP level. The percentage of fatty acids de novo synthesized in the mammary gland (the sum of 4 : 0–14 : 0) remained similar among diets (32-34% of total fatty acids). The 16 : 0 percentage dropped from 32.5 to 29.6% and from 33.6 to 28.3% for 15% and 30% BP, respectively. Only 30% BP elevated the percentage of conjugated linoleic acids (CLA: by 59%) compared with CON throughout the 3 weeks. Proportions of 18 : 2 n6 and 18 : 3 n3 and the n6:n3 ratio were unaffected by BP and feeding time. BP feeding improved all those estimated health indices of the milk fat that are suggested to be related to coronary health. In summary, the inclusion of BP in dairy rations beneficially shifted the milk fatty acid profile to more 18 : 1 fatty acids at the expense of 16 : 0. At a 30% inclusion rate, BP feeding showed an additional benefit of increased CLA content in milk fat.
Social Networks among Indigenous Peoples in Mexico
Authors: Skoufias Emmanuel , Lunde Trine , Patrinos Harry Anthony 
Published: September 2022

AbstractWe examine the extent to which social networks among indigenous peoples in Mexico have a significant effect on a variety of human capital investment and economic activities, such as school attendance and work among teenage boys and girls, and migration, welfare participation, employment status, occupation, and sector of employment among adult males and females. Using data from the 10 percent population sample of the 2000 Population and Housing Census of Mexico and the empirical strategy that Bertrand, Luttmer, and Mullainathan (2000) propose, which allows us to take into account the role of municipality and language group fixed effects, we confirm empirically that social network effects play an important role in the economic decisions of indigenous people, especially in rural areas. Our analysis also provides evidence that better access to basic services such as water and electricity increases the size and strength of network effects in rural areas.
The Color of Child Mortality in Brazil, 1950–2000: Social Progress and Persistent Racial Inequality
Authors: Wood Charles H. , Magno de Carvalho José Alberto , Horta Cláudia Júlia Guimarães 
Published: September 2022

AbstractNow that racism has been officially recognized in Brazil, and some universities have adopted affirmative-action admission policies, measures of the magnitude of racial inequality and analyses that identify the factors associated with changes in racial disparities over time assume particular relevance to the conduct of public debate. This study uses census data from 1950 to 2000 to estimate the probability of death in the early years of life, a robust indicator of the standard of living among the white and Afro-Brazilian populations. Associated estimates of the average number of years of life expectancy at birth show that the 6.6-year advantage that the white population enjoyed in the 1950s remained virtually unchanged throughout the second half of the twentieth century, despite the significant improvements that accrued to both racial groups. The application of multivariate techniques to samples selected from the 1960, 1980, and 2000 census enumerations further shows that, controlling for key determinants of child survival, the white mortality advantage persisted and even increased somewhat in 2000. The article discusses evidence of continued racial inequality during an era of deep transformation in social structure, with reference to the challenges of skin color classification in a multiracial society and the evolution of debates about color, class, and discrimination in Brazil.
¿Existen brechas salariales por género en Chile?: Descomposición de las diferencias salariales entre hombres y mujeres en el contexto de regresiones por cuantiles
Authors: Perticara Marcela , Astudillo Alvaro 
Published: September 2022

ResumenEste trabajo busca evaluar las brechas de salarios entre hombres y mujeres a partir de regresiones de cuantiles, utilizando los datos de la Encuesta de Protección Social 2002–2006. Las estimaciones realizadas toman en cuenta la potencial endogeneidad de la variable educación y se incluyen controles de experiencia laboral efectiva.Se encuentra que el efecto características es pequeño y estadísticamente no significativo hasta aproximadamente el quintil 50 (mediana), donde se hace positivo (favorable a las mujeres) y crece monotónicamente hasta llegar a 12 por ciento en el percentil 90. El efecto parámetro (o componente no explicado) es siempre negativo a lo largo de toda la distribución. Notablemente, no encontramos un efecto techo en el mercado laboral chileno una vez que controlamos por la potencial endogeneidad de la variable educación. Las estimaciones intra-ocupación revelan que las mayores brechas de salarios se encuentran entre trabajadores del comercio y obreros y trabajadores agrícolas calificados.