bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Relationship Between Traditional and Cyber Bullying Victimization in Early Adolescence and Emotional Wellbeing: A Cross-Sectional, Population-Based Study
Authors: Halliday Sarah , Taylor Amanda , Turnbull Deborah , Gregory Tess 
Published: October 2022

AbstractDespite the wealth of knowledge about the impact of bullying victimization, information gaps exist about how traditional and cyber bullying in early adolescence is associated with emotional wellbeing, namely, indicators of positive wellbeing. Therefore, this study investigated associations between different types of bullying victimization and positive and negative emotional wellbeing indicators, in addition to examining the prevalence of different types of bullying in conjunction with child, peer, and school factors. The study used data from an annual survey of student wellbeing conducted in South Australian schools. The sample comprised of 9019 grade 6 students aged 10–13 years (49.6% female). One-third of students experienced bullying victimization. Verbal bullying was most prevalent in this sample (24%), followed by social (21%), physical (10%), and cyberbullying (7%). Males were significantly more likely to experience physical and verbal bullying, and students living in more socioeconomically disadvantaged communities were significantly more likely to experience physical, verbal, social, and cyber bullying victimization. Additionally, all types of bullying victimization were significantly associated with lower scores on positive emotional wellbeing indicators (happiness, life satisfaction, and emotion regulation) and significantly higher scores on negative indicators (sadness and worries), all with small effect sizes after accounting for child-, peer-, and school-level factors. This research suggests that bullying is associated with both positive and negative aspects of emotional wellbeing, and both aspects of wellbeing are crucial to consider when developing school-based interventions.
Personal Health Train Architecture with Dynamic Cloud Staging
Authors: Bonino da Silva Santos Luiz Olavo , Ferreira Pires Luís , Graciano Martinez Virginia , Rebelo Moreira João Luiz , Silva Souza Guizzardi Renata 
Published: October 2022

AbstractScientific advances, especially in the healthcare domain, can be accelerated by making data available for analysis. However, in traditional data analysis systems, data need to be moved to a central processing unit that performs analyses, which may be undesirable, e.g. due to privacy regulations in case these data contain personal information. This paper discusses the Personal Health Train (PHT) approach in which data processing is brought to the (personal health) data rather than the other way around, allowing (private) data accessed to be controlled, and to observe ethical and legal concerns. This paper introduces the PHT architecture and discusses the data staging solution that allows processing to be delegated to components spawned in a private cloud environment in case the (health) organisation hosting the data has limited resources to execute the required processing. This paper shows the feasibility and suitability of the solution with a relatively simple, yet representative, case study of data analysis of Covid-19 infections, which is performed by components that are created on demand and run in the Amazon Web Services platform. This paper also shows that the performance of our solution is acceptable, and that our solution is scalable. This paper demonstrates that the PHT approach enables data analysis with controlled access, preserving privacy and complying with regulations such as GDPR, while the solution is deployed in a private cloud environment.
Catalysis of stranded material on beaches in Arauco, Chile: experience with stranded sardines as fertilizer with a chemical solution
Authors: Parodi Jorge , Scott Ian , Chavez Viviana , Vega Ivan 
Published: October 2022

AbstractFish stranding or beaching is an infrequent but recurring phenomenon on the Chilean coastline and generates a serious public emergency. This phenomenon has been significantly reported around the mouth of the Laraquete River in Arauco, generally associated with water temperature changes and creating major environmental and public health problems due to the amount of organic matter deposited and outgassing from decomposition. This material is removed and taken to specialized landfills at a high cost, which merely transfers the problem without fundamentally solving it. Recently a product has been developed which appears capable of catalyzing organic material without the need for bacterial fermentation and increasing the bioavailability of soil nutrient materials. We evaluate this by using the product at the recommended concentration and doing on-site measurements of nitrites, nitrate, nitrogen, and phosphate levels. These showed, that after a 12-hour incubation period, the compounds increase, and organic material releases these compounds into a nutritious mud or organic compost. The smell was also evaluated as an indication of decomposition processes, with no changes recorded. The catalyzed material was transported to a farm site, mixed with low-quality soil, and subsequently planted with oats, reporting an output of over 90% in the soil treated with the catalyzed material. Health authority reviews raised no reports about odors. This data indicates that the product can release nutrients into the mud, generating organic compost, which can used for fertilizer in agricultural work. Future reports can indicate how this allows for new organic waste management strategies.
Digital twinning of self-sensing structures using the statistical finite element method
Authors: Febrianto Eky , Butler Liam , Girolami Mark , Cirak Fehmi 
Published: October 2022

Abstract
The monitoring of infrastructure assets using sensor networks is becoming increasingly prevalent. A digital twin in the form of a finite element (FE) model, as commonly used in design and construction, can help make sense of the copious amount of collected sensor data. This paper demonstrates the application of the statistical finite element method (statFEM), which provides a principled means of synthesizing data and physics-based models, in developing a digital twin of a self-sensing structure. As a case study, an instrumented steel railway bridge of

$ 27.34\hskip1.5pt \mathrm{m} $

length located along the West Coast Mainline near Staffordshire in the UK is considered. Using strain data captured from fiber Bragg grating sensors at 108 locations along the bridge superstructure, statFEM can predict the “true” system response while taking into account the uncertainties in sensor readings, applied loading, and FE model misspecification errors. Longitudinal strain distributions along the two main I-beams are both measured and modeled during the passage of a passenger train. The statFEM digital twin is able to generate reasonable strain distribution predictions at locations where no measurement data are available, including at several points along the main I-beams and on structural elements on which sensors are not even installed. The implications for long-term structural health monitoring and assessment include optimization of sensor placement and performing more reliable what-if analyses at locations and under loading scenarios for which no measurement data are available.
DU FU 杜甫 ON THE HAN DYNASTY: A MEDIEVAL VIEW OF THE CLASSICAL CHINESE EMPIRE
Authors: McMullen David 
Published: October 2022

AbstractDu Fu, one of the two most celebrated poets of the Tang, was very much a product of his era in the way that he found a usable past in Han-dynasty verse, episodes, and people. From 750 on, his writings were replete with allusions to the Han, some subtle and others more forthright. Taken together, these allusions suggest his firm beliefs in the course of history determined by human moral agency, in morality as “a man's own charge”; also in the role of fate determining the succession of dynasties, even as he deplored the workings of capricious fate on individual lives. Such beliefs are unremarkable in content, being much closer to conventional Tang concepts of the individual than most commentaries on Du Fu allow.
MICHAEL LOEWE, A MODEL FOR THE AGES
Authors: Nylan Michael , Wilson Trenton 
Published: October 2022

AbstractSoon to celebrate his centennial year, Michael Loewe is certainly the most eminent Han historian today. Without his numerous publications—including not only such foundational reference works as The Biographical Dictionary of Qin and Western Han and Early Chinese Texts but also a wide range of more specialized studies—it is hard to imagine how the once-neglected field of Han history could have garnered such respect among scholars in allied fields in Euro-America and abroad. In these introductory remarks, we reflect on Michael Loewe's distinguished contributions to the field of early Chinese history over several decades and his extraordinary record as teacher. We draw special attention to several ways in which Professor Loewe's work continues to challenge such outdated and anachronistic paradigms as “Confucianism,” and we note the careful ways he correlates received, “found,” and excavated sources. We conclude the introduction with a set of reflections situating Professor Loewe as teacher within a distinguished Sinological lineage.
War-related quality of life is associated with depressive symptoms and hopelessness among Palestinians: sense of belonging and resilience as mediating variables
Authors: Mahamid Fayez , Veronese Guido , Bdier Dana 
Published: October 2022

AbstractBackgroundThe current study was designed to test the correlation between quality of life, depressive symptoms, and hopelessness, and whether sense of belonging and resilience mediating the correlation between quality of life, depressive symptoms, and hopelessness in a society characterized by high level of political violence and prolonged trauma.MethodsStructural equation modeling (SEM) was performed to test the conceptual model, where quality of life was identified as a predictor variable, sense of belonging and resilience as mediating variables, and depressive symptoms and hopelessness as outcome variables. The participants of the study were 437 Palestinian adults: 190 males and 247 females, they were recruited using online methods; emails, Facebook, and Twitter.FindingsResults indicated that quality of life negatively correlated with depressive symptoms (r = −0.603; p < 0.01), and hopelessness (r = −0.453; p < 0.01), and positively correlated with resilience (r = 0.534; p < 0.05), and sense of belonging (r = 0.428; p < 0.01). Results of SEM indicated the correlation between quality of life, depressive symptoms, and hopelessness was fully mediated by the sense of belonging and resilience.ConclusionsOur study sheds light on resilience and sense of belonging as protective factors against ongoing traumatic experiences among Palestinians. Future research should be addressed to understand better the features of resilience and sense of belonging that can help maintain psychological functioning in conditions of chronic and ongoing violence, the personal and historical antecedents of such protective factors, and the factors that can directly or indirectly undermine them.
Politically Speaking: Ethnic Language and Audience Opinion in Southeast Asia
Authors: Ricks Jacob I. 
Published: October 2022

AbstractLanguage is one of the quintessential markers of ethnicity. It allows co-ethnics to easily identify one another and underscores in-group and out-group boundaries. Recognizing this, politicians frequently employ ethnic tongues to enhance their political appeal. To what extent does this shape the opinions of their audiences? Utilizing a survey experiment, I test the impact of an ethnic tongue against that of the common political language among the Javanese in Indonesia, the Tagalog in the Philippines, and the Isan people in Thailand. The experiment demonstrates that the ethnic language has a significant impact in both Thailand and Indonesia, but there appears to be little effect of using Tagalog over Filipino English in the Philippines. The findings suggest that ethnic tongues have the potential to significantly enhance political appeals, both among dominant (Javanese) and marginal (Isan) ethnic groups, but when the ethnic group is already the linguistic hegemon (Tagalog), such effects may be limited.
Performance evaluation of flexible macrocycle docking in AutoDock
Authors: Holcomb Matthew , Santos-Martins Diogo , Tillack Andreas F. , Forli Stefano 
Published: October 2022

Abstract
Macrocycles represent an important class of ligands, both in natural products and designed drugs. In drug design, macrocyclizations can impart specific ligand conformations and contribute to passive permeation by encouraging intramolecular H-bonds. AutoDock-GPU and Vina can model macrocyclic ligands flexibly, without requiring the enumeration of macrocyclic conformers before docking. Here, we characterize the performance of the method for handling macrocyclic compounds, which is implemented and the default behaviour for ligand preparation with our ligand preparation pipeline, Meeko. A pseudoatom is used to encode bond geometry and produce an anisotropic closure force for macrocyclic rings. This method is evaluated on a diverse set of small molecule and peptide macrocycles, ranging from 7- to 33-membered rings, showing little accuracy loss compared to rigid redocking of the X-ray macrocycle conformers. This suggests that for conformationally flexible macrocycles with unknown binding modes, this method can be effectively used to predict the macrocycle conformation.
Computer-aided comprehensive explorations of RNA structural polymorphism through complementary simulation methods
Authors: Röder Konstantin , Stirnemann Guillaume , Faccioli Pietro , Pasquali Samuela 
Published: October 2022

Abstract
While RNA folding was originally seen as a simple problem to solve, it has been shown that the promiscuous interactions of the nucleobases result in structural polymorphism, with several competing structures generally observed for non-coding RNA. This inherent complexity limits our understanding of these molecules from experiments alone, and computational methods are commonly used to study RNA. Here, we discuss three advanced sampling schemes, namely Hamiltonian-replica exchange molecular dynamics (MD), ratchet-and-pawl MD and discrete path sampling, as well as the HiRE-RNA coarse-graining scheme, and highlight how these approaches are complementary with reference to recent case studies. While all computational methods have their shortcomings, the plurality of simulation methods leads to a better understanding of experimental findings and can inform and guide experimental work on RNA polymorphism.
The Effect of Organization Capital on the Cost of Bank Loans
Authors: Danielova Anna , Francis Bill B. , Teng Haimeng , Wu Qiang 
Published: October 2022

AbstractWe find that organization capital is negatively related to the cost of bank loans. This finding is robust to additional analyses including those that address omitted variable bias and reverse causality. In addition, we find that organization capital reduces all-in-spread-undrawn. When we decompose the bank loan cost, we find that organization capital increases facility fees due to its risk-engendering characteristics. Finally, we find that organization capital is positively associated with a high likelihood of the presence of inventors and innovation output, consistent with the argument that organization capital is embedded in the key talent within a firm.
Negotiating the care convoys for a diverse group of older Australians living in rural communities: a large qualitative study
Authors: Petersen Maree , Winterton Rachel , Warburton Jeni , Wilson Jill 
Published: October 2022

AbstractWhilst ageing in place is integral to international policy, there is less understanding of how individuals utilise formal services and informal supports in diverse rural environments to maintain their wellness and independence. Consequently, how older people negotiate their care within rural communities is subject to misconceptions. This paper draws on the convoy of care model to explore how older rural Australians negotiate their preferences and needs in the context of informal networks, availability of community resources, and the health and aged care system. The analysis draws on 60 in-depth interviews in six diverse rural communities across two Australian states. Three distinct care convoys are identified and demonstrate the interaction of multiple factors including individual preferences and needs, availability of family and community supports, and accessibility of local health and aged care services in the context of resource allocation. The findings highlight how families and communities compensate for a lack of accessible formal services. For older people without family and strong social networks, formal services are relied upon despite their inadequacy in some locales. This research has provided evidence that some Australian rural locales have limited resources resulting in challenges for older people to access home care and support. This results in many older people facing challenges to age in place. With aged care and health policy commonly designed for an urban context, our findings illustrate the importance of tailoring policy to respect the strengths and challenges existing in rural communities.
The ‘System of National Cooperation’ hit factory: the aesthetic of Hungarian government-commissioned songs between 2010 and 2020
Authors: Barna Emília , Patakfalvi-Czirják Ágnes 
Published: October 2022

AbstractThis article addresses the relationship between popular music and populism through three government-commissioned songs, produced for occasions of national remembering during the post-2010 Orbán regime in Hungary, namely ‘Barackfa’ (2013), ‘Egy szabad országért’ (2016) and ‘Hazám, hazám’ (2020). All three songs are one-off collaborations of artists representing various music genres. We ask, firstly, what aesthetic forms make these songs potentially suitable for the performance of national unity, solidarity and the ‘people’, and secondly, how the songs’ structure, production and dissemination can be interpreted as attempts by government commissioners and creators to gain popularity. Drawing on Ostiguy's performative approach to populism, combined with the notion of collective speculation and musical affordances, we identify three main strategies of constructing the ‘people’ in the songs: singing together as sound, legacy and practice; the pop ‘mega-event’; and the use of the folk music aesthetic as ‘mother tongue’.
Neglected impacts of patient decision-making associated with genetic testing
Authors: Milverton Joanne , Carter Drew 
Published: October 2022

Abstract
We highlight non-health-related impacts associated with genetic testing (GT) and knowing one’s genetic status so that health technology assessment (HTA) analysts and HTA audiences may more appropriately consider the pros and cons of GT. Whereas health-related impacts of GT (e.g., increased healthy behaviors and avoidance of harms of unnecessary treatment) are frequently assessed in HTA, some non-health-related impacts are less often considered and are more difficult to measure. This presents a challenge for accurately assessing whether a genetic test should be funded. In health systems where HTA understandably places emphasis on measurable clinical outcomes, there is a risk of creating a GT culture that is pro-testing without sufficient recognition of the burdens of GT. There is also a risk of not funding a genetic test that provides little clinical benefit but nonetheless may be seen by some as autonomy enhancing. The recent development of expanded HTA frameworks that include ethics analyses helps to address this gap in the evidence and bring awareness to non-health-related impacts of GT. The HTA analyst should be aware of these impacts, choose appropriate frameworks for assessing genetic tests, and use methods for evaluating impacts. A new reporting tool presented here may assist in such evaluations.
A benchmark for evaluating Arabic word embedding models
Authors: Yagi Sane , Elnagar Ashraf , Fareh Shehdeh 
Published: October 2022

AbstractModelling the distributional semantics of such a morphologically rich language as Arabic needs to take into account its introflexive, fusional, and inflectional nature attributes that make up its combinatorial sequences and substitutional paradigms. To evaluate such word distributional models, the benchmarks that have been used thus far in Arabic have mimicked those in English. This paper reports on a benchmark that we designed to reflect linguistic patterns in both Contemporary Arabic and Classical Arabic, the first being a cover term for written and spoken Modern Standard Arabic, while the second for pre-modern Arabic. The analogy items we included in this benchmark are chosen in a transparent manner such that they would capture the major features of nouns and verbs; derivational and inflectional morphology; high-, middle-, and low-frequency patterns and lexical items; and morphosemantic, morphosyntactic, and semantic dimensions of the language. All categories included in this benchmark are carefully selected to ensure proper representation of the language. The benchmark consists of 45 roots of the trilateral, all-consonantal, and semivowel-inclusive types; six morphosemantic patterns (’af‘ala; ifta‘ala; infa‘ala; istaf‘ala; tafa‘‘ala; and tafā‘ala); five derivations (the verbal noun, active participle, and the contrasts in Masculine-Feminine; Feminine-Singular-Plural; Masculine-Singular-Plural); and morphosyntactic transformations (perfect and imperfect verbs conjugated for all pronouns); and lexical semantics (synonyms, antonyms, and hyponyms of nouns, verbs, and adjectives), as well as capital cities and currencies. All categories include an equal proportion of high-, medium-, and low-frequency items. For the purpose of validating the proposed benchmark, we developed a set of embedding models from different textual sources. Then, we tested them intrinsically using the proposed benchmark and extrinsically using two natural language processing tasks: Arabic Named Entity Recognition and Text Classification. The evaluation leads to the conclusion that the proposed benchmark is truly reflective of this morphologically rich language and discriminatory of word embeddings.