bluuebunny/crossref_metadata_2025_split huggingface dataset:
Traditional Male Role Norms, Social Support, and Symptoms of Post-traumatic Stress Disorder Among Male Polish Police Officers
Authors: Sitko-Dominik Magdalena Maja , Jakubowski Tomasz Daniel 
Published: February 2021

AbstractPolice officers’ work involves the exposition to traumatogenic stimuli. The aim of the research is to investigate potential associations between post-traumatic stress disorder and the traditional masculinity norms and social support. Three questionnaires were used: the Impact of Event Scale-Revised adapted by Juczyński and Ogińska-Bulik (2009), the Social Relations Scale (Skarżyńska 2002), and the Male Role Norms Scale translated by the authors of this paper. The sample comprised 111 male active service members of the Polish Police. The analysis shows statistically significant, mildly negative associations between post-traumatic stress disorder symptomatology variables and social relations/support (− .312 to − .386), and mild-to-moderate positive associations between the traditional male role norms and post-traumatic stress disorder symptomatology variables (.361–.506). The intergroup differences between the police officers that probably meet the PTSD criteria and those that do not meet the criteria were mainly observed in complying with the traditional masculinity norms, in which the police officers with probable post-traumatic stress disorder had higher results than those without it; the reverse was observed in the case of social relations/support. Traditional masculinity norms, length of service, number of types of traumatic events, social relations/support, and age have proved to be significant independent predictors of post-traumatic stress disorder (β = − .38–β = .49). However, in the multivariate regression, only social status norms, age, social relations/support, and number of types of traumatic events proved to be significant predictors of post-traumatic stress disorder (β = − 26 to .40), accounting for 45% of post-traumatic stress disorder symptoms.
Research on the reform of management system of higher vocational education in China based on personality standard
Authors: Ling Ying , Chung Soo Jin , Wang Liwen 
Published: February 2021

AbstractWith the rapid development of Higher Vocational Education in China, the main objective is to improve the quality of Higher Vocational Education in an all-round way. For a long time, higher vocational education has been using the knowledge-based education mode of general higher education or secondary vocational education. Until the early 1990s, the ability-based education model was gradually introduced. The understanding and research of higher vocational education should not be confined to the interior of education. Many policies and measures to accelerate development have been introduced, and the scale of vocational education has been expanding in recent years. Higher vocational education in China has become an important part of higher education. It is an important type of higher education and a high level of vocational education. In order to cultivate the sound personality of students in higher vocational colleges, it is necessary to establish a personality-based education model. Realize the innovation of talent training mode and the quality improvement of personnel training. Meeting the new normal of the innovation-driven society, the demand for high-quality technical skills is required. It is a major practical problem facing the current construction of a modern vocational education system.
Additionality of government guaranteed loans for SMEs in Israel
Authors: H. Rubin Tzameret , Ben-Aharon Nir 
Published: February 2021

Abstract The study examines the Israeli Government Loans for SMEs in 2015. Our findings are based on three surveys. A business survey of 384 businesses that were granted a Government loan, a business survey of 99 businesses that were granted loans but decided not to take them and a survey of 50 loan consultants who advised those businesses about their eligibility and the Terms and Conditions of the loans. We tested Loan Adjusted Additionality and Loan Baseline Additionality and found that 53% of loans taken from the Government Loans Foundation (GLF) are additional loans. SMEs would not have taken a loan, or any part of one, if not for the Government Loans Foundation Scheme. Our contribution to the literature is by including Indirect Additionality, demonstrating the importance of the GLF Scheme, not only by assisting SMEs in their financial planning and growth but also, by signalling early stage business resilience, reducing the risks for commercial banks through regulated, financial due diligence. This outcome expands the pool of SMEs which have access to free market loans and has the potential to improve their survival rate, thus fostering economic growth.
Improved Dust Detection over East Asia Using Geostationary Satellite Data
Authors: Shin Yu-Rim , Sohn Eun-Ha , Park Ki-Hong , Ryu Geun-Hyeok , Lee Soobong , Lee Seon-Young , Park Na-Yeon 
Published: February 2021

AbstractThis paper presents an improved algorithm, based on the D*-parameter, for dust detection over the East Asian region using brightness temperature differences (BTDs) between the infrared channels of the Advanced Himawari Imager (AHI) onboard Himawari-8. The developed algorithm defines a dust index in the form of the ratio of BTDs: BTD between the 10.4 μm and 12.4 μm channels (BTD10.4–12.4) to that between the 8.6 μm and 10.4 μm channels (BTD8.6–10.4). To identify dust with this index, threshold values were determined empirically. A masking technique using the BTD8.6–10.4 was utilized in the dust index to mitigate the problem of detecting clear-sky deserts and fog over the ocean as dust. BTD8.6–10.4 was analyzed for dust, clear-sky desert, and fog over the ocean cases during 2017 and 2018 with this method. Fog over the ocean and clear-sky desert were distinguished by the criteria of BTD8.6–10.4 > −1.1 K and BTD8.6–10.4 > −1 K, respectively. Based on these thresholds, the influence of fog over the ocean and clear-sky desert was filtered out. The results showed that the dust area was qualitatively consistent with RGB images and ground observation data. Comparison with the AERONET aerosol optical depth (AOD) demonstrated that the D*-parameter was exponentially proportional to AOD, and the correlation coefficient between them was approximately 0.6. The improved Asian Dust detection algorithm can be applied to the monitoring of dust dispersion and movement and also serve as a quantitative indicator of Asian Dust.
Towards Strong AI
Authors: Butz Martin V. 
Published: February 2021

AbstractStrong AI—artificial intelligence that is in all respects at least as intelligent as humans—is still out of reach. Current AI lacks common sense, that is, it is not able to infer, understand, or explain the hidden processes, forces, and causes behind data. Main stream machine learning research on deep artificial neural networks (ANNs) may even be characterized as being behavioristic. In contrast, various sources of evidence from cognitive science suggest that human brains engage in the active development of compositional generative predictive models (CGPMs) from their self-generated sensorimotor experiences. Guided by evolutionarily-shaped inductive learning and information processing biases, they exhibit the tendency to organize the gathered experiences into event-predictive encodings. Meanwhile, they infer and optimize behavior and attention by means of both epistemic- and homeostasis-oriented drives. I argue that AI research should set a stronger focus on learning CGPMs of the hidden causes that lead to the registered observations. Endowed with suitable information-processing biases, AI may develop that will be able to explain the reality it is confronted with, reason about it, and find adaptive solutions, making it Strong AI. Seeing that such Strong AI can be equipped with a mental capacity and computational resources that exceed those of humans, the resulting system may have the potential to guide our knowledge, technology, and policies into sustainable directions. Clearly, though, Strong AI may also be used to manipulate us even more. Thus, it will be on us to put good, far-reaching and long-term, homeostasis-oriented purpose into these machines.
National happiness index monitoring using Twitter for bilanguages
Authors: Wang Di , Al-Rubaie Ahmad , Hirsch Benjamin , Pole Gregory Cameron 
Published: February 2021

AbstractNowadays, social media have become one of the most important methods of communication that provide a real-time and rich source of information, including sentiments. Understanding the population sentiment is a key goal for organisations and governments. In recent years, quite a lot of research has been done on sentiment analysis from social media. However, all the work in the state of the art is focused on a specific pre-defined subset of tweets, e.g. sentiment analysis via keywords search from tweets for relevant brands, products, services, events and so forth. Monitoring the general sentiment at national level through the whole social media stream is not done due to the challenges of filtering sentiment-irrelevant information, diversity of vocabulary usage in general tweets across topics causing low accuracy and the need for bilingual or multilingual models. This paper proposes a system for general population sentiment monitoring from a social media stream (Twitter), through comprehensive multi-level filters, and our proposed improved latent Dirichlet allocation (LDA) (Wang et al. in ACM Trans Internet Technol 18(1):1–23, 2017; Wang and Al-Rubaie in Appl Soft Comput 33:250–262, 2015; https://patents.google.com/patent/US20170293597A1/en) method for sentiment classification. Experiments show that our proposed improved LDA for sentiment analysis yields the best results, and also validate our proposed system for national sentiment monitoring in Abu Dhabi using twitter.
Number and height of unbrowsed saplings are more appropriate than the proportion of browsed saplings for predicting silvicultural regeneration success
Authors: Hagen Robert , Kühl Norbert , Hanewinkel Marc , Suchant Rudi 
Published: February 2021

Abstract
• Key message

The browsing level of oak (Quercus petraea and Quercus robur) and fir (Abies alba) provided only a rough estimate of the expected regeneration success. Thus, it cannot be recommended as a standard measurement to predict forest development, unless the number of saplings and the height of those saplings are considered.

• Context

Browsing by large herbivores may affect regeneration success and forest development, with an impact that lasts for decades.

• Aims

Whether the browsing level of a tree species can be used in forestry as a standard measure to assess whether the target values (for instance regeneration success) of highly selected tree species, such as oak (Quercus petraea (Mattuschka) Liebl., Quercus robur (L.)) and fir (Abies alba (Mill.)), will be reached is unclear and need specification.

• Methods

In this study, 985 sampling plots (10 m2) in Southern Germany (Baden-Württemberg) containing browsed and unbrowsed oak and fir-saplings were analysed. Both the browsing level and a measure of the expected regeneration success that considered not only the sapling density but also different height classes (≤ 20 cm; 21–50 cm; 51–130 cm) were calculated.

• Results

The use of the browsing level as a proxy for the expected regeneration success was statistically only partly justified. For fir the relationship between browsing level and expected regeneration success became even weaker for a new indicator variable which considers two height classes rather than one class for saplings exceeding 50 cm (51–80 cm and 81–130 cm).

• Conclusion

According to these results, the browsing level cannot be recommended as a standard measurement and/or predictor of damage, unless the number of saplings and the height of those saplings are considered. Thus, in efforts to mitigate conflicts between foresters and hunters, a measurement is needed that addresses the successful establishment of a sufficient number of trees despite browsing, rather than the browsing of trees alone.
Using multilevel models to evaluate the attitude of separate waste collection in young people
Authors: De Iaco Sandra , Maggio Sabrina 
Published: February 2021

AbstractSeparate waste collection represents one of the necessary conditions to guarantee an efficient protection of the environment. In particular, raising awareness of young people towards eco-sustainable behaviors, such as waste sorting and waste recycling, is an essential target that institutions should pursue in order to contribute to the reduction of the environmental impact of waste. Thus, an appropriate assessment of the determinants which influence environmentally responsible practices is of wide interest, not only for its implications in environmental science, but also in other scientific fields, such as Sociology, Chemistry and Engineering. This paper is focused on an innovative analysis based on the use of multilevel models suitable to evaluate the young people’s attitudes towards waste sorting in three different daily life contexts, i.e. school, family and spare time. A data set regarding a survey on a sample of students attending upper secondary schools, in the Province of Brindisi (Apulia Region), is used.
Wind tunnel measurement of aerodynamic characteristics of trains passing each other on a simply supported box girder bridge
Authors: Li Xiaozhen , Tan Yiling , Qiu Xiaowei , Gong Zhenhua , Wang Ming 
Published: February 2021

AbstractThe aerodynamic performance of high-speed trains passing each other was investigated on a simply supported box girder bridge, with a span of 32 m, under crosswinds. The bridge and train models, modeled at a geometric scale ratio of 1:30, were used to test the aerodynamic forces of the train, with the help of a designed moving test rig in the XNJD-3 wind tunnel. The effects of wind speed, train speed, and yaw angle on the aerodynamic coefficients of the train were analyzed. The static and moving model tests were compared to demonstrate how the movement of the train influences its aerodynamic characteristics. The results show that the sheltering effect introduced by trains passing each other can cause a sudden change in force on the leeward train, which is further influenced by the wind and running speeds. Detailed analyses related to the effect of wind and train speeds on the aerodynamic coefficients were conducted. The relationship between the change in aerodynamic coefficients and yaw angle was finally described by a series of proposed fitting formulas.
Apricot aphid, Myzus mumecola (Matsumura), a new and important pest of apricot in Hungary
Authors: Borbély Csaba , György Zsuzsanna , Szathmáry Erzsébet , Markó Viktor 
Published: February 2021

AbstractApricot aphid, Myzus mumecola (Matsumura) (Homoptera: Aphididae), was recorded as a new pest of apricot in Hungary in the spring of 2020. Identification was based on morphological and genetical (mitochondrial COI region) characteristics. M. mumecola most likely arrived in Hungary in the last 2–3 years and has quickly become a widespread pest causing significant damage to young apricot trees. Colony development, damage and differences in susceptibility between cultivars are described. The presence of Plum pox virus in M. mumecola samples was detected, and all isolates belonged to the PPV-D subgroup. Illustrations of the most important diagnostic characters of M. mumecola are provided.
Philosophical foundations for digital ethics and AI Ethics: a dignitarian approach
Authors: Hanna Robert , Kazim Emre 
Published: February 2021

AbstractAI Ethicsis a burgeoning and relatively new field that has emerged in response to growing concerns about the impact of artificial intelligence (AI) on human individuals and their social institutions. In turn, AI ethics is a part of the broader field of digital ethics, which addresses similar concerns generated by the development and deployment of new digital technologies. Here, we tackle the important worry that digital ethics in general, and AI ethics in particular, lack adequate philosophical foundations. In direct response to that worry, we formulate and rationally justify some basic concepts and principles for digital ethics/AI ethics, all drawn from a broadly Kantian theory of human dignity. Our argument, which is designed to be relatively compact and easily accessible, is presented in ten distinct steps: (1) what “digital ethics” and “AI ethics” mean, (2) refuting the dignity-skeptic, (3) the metaphysics of human dignity, (4) human happiness or flourishing, true human needs, and human dignity, (5) our moral obligations with respect to all human real persons, (6) what a natural automaton or natural machine is, (7) why human real persons are not natural automata/natural machines: because consciousness is a form of life, (8) our moral obligations with respect to the design and use of artificial automata or artificial machines, aka computers, and digital technology more generally, (9) what privacy is, why invasions of digital privacy are morally impermissible, whereas consensual entrances into digital privacy are either morally permissible or even obligatory, and finally (10) dignitarian morality versus legality, and digital ethics/AI ethics. We conclude by asserting our strongly-held belief that a well-founded and generally-accepted dignitarian digital ethics/AI ethics is of global existential importance for humanity.
Individual Treatment Progress Predicts Satisfaction with Transition-Related Care for Youth with Gender Dysphoria: A Prospective Clinical Cohort Study
Authors: Nieder T.O. , Mayer T.K. , Hinz S. , Fahrenkrug S. , Herrmann L. , Becker-Hebly Inga 
Published: February 2021

ABSTRACTBackgroundThe number of adolescents presenting with gender dysphoria (GD) in healthcare services has increased significantly, yet specialized services offering transition-related care (TRC) for trans youth is lacking.AimTo investigate satisfaction with TRC, regret, and reasons for (dis)satisfaction with transition-related medical interventions (TRMIs) in trans adolescents who had presented to the Hamburg Gender Identity Service for children and adolescents (Hamburg GIS).MethodsData were collected from a clinical cohort sample of 75 adolescents and young adults diagnosed with GD (81% assigned female at birth) aged 11 to 21 years (M = 17.4) at baseline and follow-up (on a spectrum of ongoing care, on average 2 years after initial consultation). To determine progress of the youth’s medical transitions, an individual treatment progress score (ITPS) was calculated based on number of desired vs received TRMIs.OutcomesMain outcome measures were satisfaction with TRC at the time of follow-up, ITPS, social support, reasons for regret and termination of TRC, and (dis)satisfaction with TRMIs.RESULTSParticipants underwent different stages of TRMIs, such as gender-affirming hormone treatment or surgeries, and showed overall high satisfaction with TRC received at the Hamburg GIS. Regression analysis indicated that a higher ITPS (an advanced transition treatment stage) was predictive of higher satisfaction with TRC. Sex assigned at birth, age, and time since initial consultation at the clinic showed no significant effects for satisfaction with TRC, while degree of social support showed a trend. No adolescents regretted undergoing treatment at follow-up. Additional analysis of free-text answers highlighted satisfaction mostly with the physical results of TRMI.Clinical ImplicationsBecause youth were more satisfied with TRC when their individual transition (ITPS) was more progressed, treatment should start in a timely manner to avoid distress from puberty or long waiting lists.Strengths and LimitationsThis study is one of the first to report on treatment satisfaction among youth with GD from Europe. The ITPS allowed for a more detailed evaluation of TRMI wishes and experiences in relation to satisfaction with TRC and may close a gap in research on these treatments in adolescent populations. However, all participants were from the same clinic, and strict treatment eligibility criteria may have excluded certain trans adolescents from the study. Low identification rates with non-binary identities prevented comparisons between non-binary and binary genders.CONCLUSIONThe study highlights the role of TRMI and individual treatment or transition progress for youth’s overall high satisfaction with TRC received at the Hamburg GIS.
Multi-platform app-embedded model for hybrid air-breathing rocket-cycle engine in hypersonic atmospheric ascent
Authors: Tsentis S.E. , Gkoutzamanis V.G. , Gaitanis A.D. , Kalfas A.I. 
Published: February 2021

ABSTRACTThis paper presents a performance analysis on a novel engine concept, currently under development, in order to achieve hybrid air-breathing rocket technology. A component-level approach has been developed to simulate the performance of the engine at Mach 5, and the thermodynamic interaction of the different working fluids has been analysed. The bypass ramjet duct has also been included in the model. This facilitates the improved evaluation of performance parameters. The impact of ram drag induced by the intake of the engine has also been demonstrated. The whole model is introduced into a multi-platform application for aeroengine simulation to make it accessible to the interested reader. Results show that the bypass duct modelling increases the overall efficiency by approximately 7%. The model calculates the specific impulse at approximately 1800 seconds, which is 4 times higher than any chemical rocket.
Building Inclusive Education Workforce Capability: School Principals’ Perceptions of Roles and Responsibilities
Authors: Duncan Jill , Punch Renee 
Published: February 2021

AbstractInclusive education workforce capability is the ability of the education workforce to meet individual student learning needs, regardless of educational context. In this study, we investigated the perceptions of 12 principals in Australian education settings on their views about roles and responsibilities related to the workforce’s preparedness for inclusive education. We used thematic analysis to identify 9 major themes and 3 subthemes across the 3 roles about which participants were asked: the principal’s role, the system’s role, and the teacher registration boards’ role. The findings indicated a number of areas of concern for these principals about ensuring the capability of the education workforce in the context of extensive student diversity. In summary, results indicated that principals, systems, and teacher registration boards each have a role in building inclusive education workforce capability, with a coordinated effort more likely to bring Australia closer to its pledge of inclusive education for all students.
Citizenship, National Identity, and Nation-Building in Azerbaijan: Between the Legacy of the Past and the Spirit of Independence
Authors: Ergun Ayça 
Published: February 2021

AbstractThe aim of this article is to shed light on the process of nation-building and the formation of national identity in post-Soviet Azerbaijan. The peculiarity of Azerbaijani nation-building is that the debates on how to build a nation and define national identity were nourished by two discourses: Azerbaijanism (Azerbaycançılıq) and Turkism (Tűrkçűlűk). The article focuses firstly on the discourses on national identity and nation-building in the pre-independence period while elaborating on the roots and premises of the nationalist independence movement. Secondly, it highlights the discourses of nation-building in the post-independence period while discussing the meanings attributed to national identity and nationhood. It shows how these two discourses shaped the existing identity formation in Azerbaijan with a particular emphasis on citizenship identity, marked by multiculturalism, hospitality, tolerance, and patriotism. Yet one can still categorize the country as having an incomplete nation-building process, due the violation of territorial integrity as a result of the Karabakh conflict.