bluuebunny/crossref_metadata_2025_split huggingface dataset:
Psychosocial risks and benefits of exposure to heavy metal music with aggressive themes: Current theory and evidence
Authors: Olsen Kirk N. , Terry Josephine , Thompson William Forde 
Published: May 2022

AbstractConcerns have been raised that prolonged exposure to heavy metal music with aggressive themes can increase the risk of aggression, anger, antisocial behaviour, substance use, suicidal ideation, anxiety and depression in community and psychiatric populations. Although research often relies on correlational evidence for which causal inferences are not possible, it is often claimed that music with aggressive themes can cause psychological and behavioural problems. This narrative review of theory and evidence suggests the issues are more complicated, and that fans typically derive a range of emotional and social benefits from listening to heavy metal music, including improved mood, identity formation, and peer affiliation. In contrast, non-fans of heavy metal music — who are often used as participants in experimental research on this topic — invariably report negative psychological experiences. Our review considers a comprehensive set of empirical findings that inform clinical strategies designed to identify fans for whom heavy metal music may confer psychological and behavioural risks, and those for whom this music may confer psychosocial benefits.
Molecules with a TEMPO-based head group as high-performance organic friction modifiers
Authors: Hou Jinchi , Tsukamoto Masaki , Hor Seanghai , Chen Xingyu , Yang Juntao , Zhang Hedong , Koga Nobuaki , Yasuda Koji , Fukuzawa Kenji , Itoh Shintaro , Azuma Naoki 
Published: May 2022

AbstractHigh-performance organic friction modifiers (OFMs) added to lubricating oils are crucial for reducing energy loss and carbon footprint. To establish a new class of OFMs, we measured the friction and wear properties of N-(2,2,6,6-tetramethyl-1-oxyl-4-piperidinyl)dodecaneamide referred to as C12Amide-TEMPO. The effect of its head group chemistry, which is characterized by a rigid six-membered ring sandwiched by an amide group and a terminal free oxygen radical, was also investigated with both experiments and quantum mechanical (QM) calculations. The measurement results show that C12Amide-TEMPO outperforms the conventional OFMs of glyceryl monooleate (GMO) and stearic acid, particularly for load-carrying capacity, wear reduction, and stability of friction over time. The friction and wear reduction effect of C12Amide-TEMPO is also greatly superior to those of C12Ester-TEMPO and C12Amino-TEMPO, in which ester and amino groups replace the amide group, highlighting the critical role of the amide group. The QM calculation results suggest that, in contrast to C12Ester-TEMPO, C12Amino-TEMPO, and the conventional OFMs of GMO and stearic acid, C12Amide-TEMPO can form effective boundary films on iron oxide surfaces with a unique double-layer structure: a strong surface adsorption layer owing to the chemical interactions of the amide oxygen and free radical with iron oxide surfaces, and an upper layer owing to the interlayer hydrogen-bonding between the amide hydrogen and free radical or between the amide hydrogen and oxygen. Moreover, the intralayer hydrogen-bonding in each of the two layers is also possible. We suggest that in addition to strong surface adsorption, the interlayer and intralayer hydrogen-bonding also increases the strength of the boundary films by enhancing the cohesion strength, thereby resulting in the high tribological performance of C12Amide-TEMPO. The findings in this study are expected to provide new hints for the optimal molecular design of OFMs.
Bioinspired Strategies for Excellent Mechanical Properties of Composites
Authors: Peng Xianchang , Zhang Binjie , Wang Ze , Su Wenbo , Niu Shichao , Han Zhiwu , Ren Luquan 
Published: May 2022

AbstractDeveloping high-performance composite materials is of great significance as a strong support for high-end manufacturing. However, the design and optimization of composite materials lack a theoretical basis and guidance scheme. Compared with traditional composite materials, natural materials are composed of relatively limited components but exhibit better mechanical properties through ingenious and reasonable synthetic strategies. Based on this, learning from nature is considered to be an effective way to break through the bottleneck of composite design and preparation. In this review, the recent progress of natural composites with excellent properties is presented. Multiple factors, including structures, components and interfaces, are first summarized to reveal the strategies of natural materials to achieve outstanding mechanical properties. In addition, the manufacturing technologies and engineering applications of bioinspired composite materials are introduced. Finally, some scientific challenges and outlooks are also proposed to promote next-generation bioinspired composite materials.
Rethinking data infrastructure and its ethical implications in the face of automated digital content generation
Authors: Israel Maria Joseph , Amer Ahmed 
Published: May 2022

AbstractRecent AI developments have made it possible for AI to auto-generate content—text, image, and sound. Highly realistic auto-generated content raises the question of whether one can differentiate between what is AI-generated and human-generated, and assess its origin and authenticity. When it comes to the processes of digital scholarship and publication in the presence of automated content generation technology, the evolution of data storage and presentation technologies demand that we rethink basic processes, such as the nature of anonymity and the mechanisms of attribution. We propose to consider these issues in light of emerging digital storage technologies that may better support the mechanisms of attribution (and fulfilling broader goals of accountability, transparency, and trust). We discuss the scholarship review and publication process in a revised context, specifically the possibility of synthetically generated content and the availability of a digital storage infrastructure that can track data provenance while offering: immutability of stored data; accountability and attribution of authorship; and privacy-preserving authentication mechanisms. As an example, we consider theMetaScribesystem architecture, which supports these features, and we believe such features allow us to reconsider the nature of identity and anonymity in this domain, and to broaden the ethical discussion surrounding new technology. Considering such technological options, in an underlying storage infrastructure, means that we could discuss the epistemological relevance of published media more generally.
Future scenarios for housing (re)settlements in Ecuador
Authors: Iuorio Ornella , Russo Mirko 
Published: May 2022

AbstractPost-earthquake (re)settlements are too often the results of political decisions, driven by the urgency of housing survivors in emergency. There is very limited evidence of strategic decisions made for the long-term wellbeing of the displaced communities. This has certainly been the case, for the post-earthquake reconstructions developed in the aftermath of the 2016 Muisne earthquake in Ecuador. Previous research has indeed demonstrated, through qualitative empirical research, the failure of the developed resettlements from both a technical and a social perspective. This paper aims to re-think the way to conceive (re)settlements with the aim to co-produce with local experts and inhabitants possible future scenarios. A first pilot case, that adopts design solutions at the urban and housing unit level, which are strongly connected to the local geographic and cultural context, is discussed. This paper presents and discusses the design evolution of the proposed pilot case, posing the attention to the urban development and the housing design, articulated imagining the (re)settlement as a new neighbourhood of the city, with a combination of private and public spaces, that will grow and be fully integrated to the consolidated city as population grow.
Protective roles of inorganic nitrate in health and diseases
Authors: Qin Lizheng , Wang Songlin 
Published: May 2022

AbstractVarious beneficial biological activities of inorganic nitrate have been revealed in recent decades. Oral bacteria can reduce nitrate to nitrite, which is further reduced to nitric oxide (NO) in the body; this process is known as the nitrate-nitrite-NO pathway. Sialin is a mammalian membrane nitrate transporter that transports nitrate to the salivary glands and secretes it into the oral cavity through the saliva. Recent studies have indicated that nitrate has a protective effect on the salivary glands and other organs by regulating the expression of sialin and maintaining microbial homeostasis. Through the nitrate-nitrite-NO pathway, nitrate can act as a reservoir of NO in vivo and perform a variety of NO-like bioactivities, such as promoting exercise performance, protecting the digestive system, lowering blood pressure, and assisting in tumor treatment. This paper reviews the sources, functions, and possible mechanisms of inorganic nitrate, and discusses the protective role that nitrate promises to play in health and diseases.
dbDEMC 3.0: Functional Exploration of Differentially Expressed miRNAs in Cancers of Human and Model Organisms
Authors: Xu Feng , Wang Yifan , Ling Yunchao , Zhou Chenfen , Wang Haizhou , Teschendorff Andrew E. , Zhao Yi , Zhao Haitao , He Yungang , Zhang Guoqing , Yang Zhen 
Published: May 2022

Abstract
M icroRNAs (miRNAs) are important regulators in gene expression. The dysregulation of miRNA expression is widely reported in the transformation from physiological to pathological states of cells. A large number of differentially expressed miRNAs (DEMs) have been identified in various human cancers by using high-throughput technologies, such as microarray and miRNA-seq. Through mining of published studies with high-throughput experiment information, the database of DEMs in human cancers (dbDEMC) was constructed with the aim of providing a systematic resource for the storage and query of the DEMs. Here we report an update of the dbDEMC to version 3.0, which contains two-fold more data entries than the second version and now includes also data from mice and rats. The dbDEMC 3.0 contains 3268 unique DEMs in 40 different cancer types. The current datasets for differential expression analysis have expanded to 9 generalized categories. Moreover, the current release integrates functional annotations of DEMs obtained by using experimentally validated targets. The annotations can be of great benefit to the intensive analysis of the roles of DEMs in cancer. In summary, dbDEMC 3.0 provides a valuable resource for characterizing molecular functions and regulatory mechanisms of DEMs in human cancers. The dbDEMC 3.0 is freely accessible at https://www.biosino.org/dbDEMC.
Genome Assembly and Population Resequencing Reveal the Geographical Divergence of Shanmei (Rubus Corchorifolius)
Authors: Yang Yinqing , Zhang Kang , Xiao Ya , Zhang Lingkui , Huang Yile , Li Xing , Chen Shumin , Peng Yansong , Yang Shuhua , Liu Yongbo , Cheng Feng 
Published: May 2022

Abstract
Rubus corchorifolius (Shanmei or mountain berry, 2n = 14) is widely distributed in China, and its fruits possess high nutritional and medicinal values. Here, we reported a high-quality chromosome-scale genome assembly of Shanmei, with contig size of 215.69 Mb and 26,696 genes. Genome comparison among Rosaceae species showed that Shanmei and Fupenzi (Rubus chingii Hu) were most closely related, followed by blackberry (Rubus occidentalis), and that environmental adaptation-related genes were expanded in the Shanmei genome. Further resequencing of 101 samples of Shanmei collected from four regions in the provinces of Yunnan, Hunan, Jiangxi, and Sichuan in China revealed that among these samples, the Hunan population of Shanmei possessed the highest diversity and represented the more ancestral population. Moreover, the Yunnan population underwent strong selection based on the nucleotide diversity, linkage disequilibrium, and historical effective population size analyses. Furthermore, genes from candidate genomic regions that showed strong divergence were significantly enriched in the flavonoid biosynthesis and plant hormone signal transduction pathways, indicating the genetic basis of adaptation of Shanmei to the local environment. The high-quality assembled genome and the variome dataset of Shanmei provide valuable resources for breeding applications and for elucidating the genome evolution and ecological adaptation of Rubus species.
Credibility Enhancing Displays, religious scandal and the decline of Irish Catholic orthodoxy
Authors: Turpin Hugh D. , Willard Aiyana K. 
Published: May 2022

AbstractCredibility Enhancing Displays have been shown to be an important component in the transmission of empirically unverifiable cultural content such as religious beliefs. Decreased Credibility Enhancing Displays are a major predictor of religious decline. However, because declines in belief are often paired with the decreasing importance of religious institutions, existing research has not yet shown the effect of Credibility Enhancing Displays as separate from this institutional decline. Here, we assess the role of past Credibility Enhancing Display exposure among the baptised Catholic population of Ireland in predicting who retains a Catholic identity and religious beliefs among those who reject the Catholic Church. We find that leaving Catholicism outright (i.e. ‘ex-Catholicism’) is predicted by low Credibility Enhancing Display exposure, but rejecting the Church while retaining a Catholic identity (i.e. ‘liminal Catholicism’) and theistic belief is not. High perceived prevalence of clerical paedophiles (i.e. religious hypocrisy) predicts both groups similarly. Higher exposure to Credibility Enhancing Displays predicts higher orthodox Catholic beliefs and Catholic morality among Catholics, but with inconsistent and even negative effects among the other groups. High perceived prevalence of clerical paedophiles predicts the rejection of orthodox Catholic beliefs, but not the rejection of theism or a Catholic identity.
Scientists Are Epistemic Consequentialists about Imagination
Authors: Stuart Michael T. 
Published: May 2022

AbstractScientists imagine for epistemic reasons, and these imaginings can be better or worse. But what does it mean for an imagining to be epistemically better or worse? There are at least three metaepistemological frameworks that offer different answers to this question: epistemological consequentialism, deontic epistemology, and virtue epistemology. This paper presents empirical evidence that scientists adopt each of these different epistemic frameworks with respect to imagination, but argues that the way they do this is best explained if scientists are fundamentally epistemic consequentialists about imagination.
Trouble with Hubble: Status of the Big Bang Models
Authors: Smeenk Chris 
Published: May 2022

AbstractCosmologists take the $\Lambda$CDM model to be a permanent contribution to our knowledge of the universe, based on the success of precision cosmology. Consistent, independent determinations of the parameters in this model encourage physicists to take it seriously. This stance incurs an obligation to resolve any discrepancies by reanalyzing measurements or adding further complexity. Recent observations in cosmology indicate a tension between “local” and “global” determinations of the Hubble constant. Here I argue that this tension illustrates one of the benefits of taking the model seriously and consider the challenges to making a case for the permanence of $\Lambda$CDM.
Participatory Interactive Objectivity in Psychiatry
Authors: Tekin Şerife 
Published: May 2022

AbstractThis paper challenges the exclusion of patients from epistemic practices in psychiatry by examining the creation and revision processes of the Diagnostic and Statistical Manual of Mental Disorders (DSM), a document produced by the American Psychiatric Association that identifies the properties of mental disorders and thereby guides research, diagnosis, treatment, and various administrative tasks. It argues there are epistemic—rather than exclusively social/political—reasons for including patients in the DSM revision process. Individuals with mental disorders are indispensable resources to enhance psychiatric epistemology, especially in the context of the crisis, controversy, and uncertainty surrounding mental health research and treatment.
The Other Legacy of Qasim Amin: The View from 1908
Authors: Yousef Hoda A. 
Published: May 2022

AbstractIn Egyptian popular history and culture, Qasim Amin is often referred to the “father of feminism” or the “liberator of women.” However, this was not always the case. Upon his death in 1908, a different legacy emerged in many early eulogies, speeches, biographical sketches, and commemorations of Amin's life. In this early framing of Amin's legacy, his two most famous books were celebrated in ways that minimized the “woman question” while highlighting other aspects of his reforms and work. This allowed Amin's 1908 contemporaries to overlook the divisiveness of his earlier positions in favor of a new sort of fraternal solidarity—one that served the interests of certain political and intellectual male elites. For many of these writers—with a few notable exceptions—Amin was a quintessential reformer and thinker whose interest in the status of women was important insofar as it spoke to the ethos of his intellectual and political projects, not what it could do for women.
The epistemics of authentication and denaturalization in the construction of identities in social interaction
Authors: Sierra Sylvia 
Published: May 2022

AbstractThis study merges sociocultural linguistic work on identity construction in interaction with the study of epistemic management in conversation analysis (CA). While some CA scholars have examined identity without relying on epistemics, and others study epistemics without a focus on identity, I hope to contribute to a renewal in the exploration of identity and epistemics in interaction, building on a few recent studies. I examine the discursive processes through which an individual actively and assertively constructs his identities as a New York City resident, a Jewish person, and an actor. I focus on epistemics in the relational identity processes of authentication and denaturalization. I show how a speaker uses authenticating epistemic stances to legitimize his claims to knowledge and related identities, while also denaturalizing others’ rights to knowledge, constructing their identities as inauthentic relative to his own. I argue that epistemics and relational identity processes may be fundamentally intertwined. (Epistemics, identity, conversation, discourse analysis, place, religion, ethnicity, actors)*
Assessing the Impact of Secondary Fluorescence on X-Ray Microanalysis Results from Semiconductor Thin Films
Authors: Hunter Daniel A , Lavery Samuel P , Edwards Paul R , Martin Robert W 
Published: May 2022

Abstract
The impact of secondary fluorescence on the material compositions measured by X-ray analysis for layered semiconductor thin films is assessed using simulations performed by the DTSA-II and CalcZAF software tools. Three technologically important examples are investigated: AlxGa1−xN layers on either GaN or AlN substrates, InxAl1−xN on GaN, and Si-doped (SnxGa1−x)2O3 on Si. Trends in the differences caused by secondary fluorescence are explained in terms of the propensity of different elements to reabsorb either characteristic or bremsstrahlung X-rays and then to re-emit the characteristic X-rays used to determine composition of the layer under investigation. Under typical beam conditions (7–12 keV), the quantification of dopants/trace elements is found to be susceptible to secondary fluorescence and care must be taken to prevent erroneous results. The overall impact on major constituents is shown to be very small with a change of approximately 0.07 molar cation percent for Al0.3Ga0.7N/AlN layers and a maximum change of 0.08 at% in the Si content of (SnxGa1−x)2O3/Si layers. This provides confidence that previously reported wavelength-dispersive X-ray compositions are not compromised by secondary fluorescence.
Biogeographical Classification of the Global Ocean From BGC‐Argo Floats
Authors: Bock Nicholas , Cornec Marin , Claustre Hervé , Duhamel Solange 
Published: May 2022

AbstractBiogeographical classifications of the global ocean generalize spatiotemporal trends in species or biomass distributions across discrete ocean biomes or provinces. These classifications are generally based on a combination of remote‐sensed proxies of phytoplankton biomass and global climatologies of biogeochemical or physical parameters. However, these approaches are limited in their capacity to account for subsurface variability in these parameters. The deployment of autonomous profiling floats in the Biogeochemical Argo network over the last decade has greatly increased global coverage of subsurface measurements of bio‐optical proxies for phytoplankton biomass and physiology. In this study, we used empirical orthogonal function analysis to identify the main components of variability in a global data set of 422 annual time series of Chlorophyll a fluorescence and optical backscatter profiles. Applying cluster analysis to these results, we identified six biomes within the global ocean: two high‐latitude biomes capturing summer bloom dynamics in the North Atlantic and Southern Ocean and four mid‐ and low‐latitude biomes characterized by variability in the depth and frequency of deep chlorophyll maximum formation. We report the distribution of these biomes along with associated trends in biogeochemical and physicochemical environmental parameters. Our results demonstrate light and nutrients to explain most variability in phytoplankton distributions for all biomes, while highlighting a global inverse relationship between particle stocks in the euphotic zone and transfer efficiency into the mesopelagic zone. In addition to partitioning seasonal variability in vertical phytoplankton distributions at the global scale, our results provide a potentially novel biogeographical classification of the global ocean.
A Potential Energy Analysis of Ocean Surface Mixed Layers
Authors: Reichl Brandon G. , Adcroft Alistair , Griffies Stephen M. , Hallberg Robert 
Published: May 2022

AbstractTurbulent mixing in the ocean surface boundary layer leads to the presence of a surface mixed layer. This mixed layer is important for many phenomena including large‐scale ocean dynamics, ocean‐atmosphere coupling, and biological and biogeochemical processes. Analysis of the ocean mixed layer requires one to estimate its vertical extent, for which there are various definitions. Correspondingly, there are uncertainties on how to best identify an ocean surface mixed layer for a given application. We propose defining the mixed layer depth (MLD) from energetic principles through the potential energy (PE). The PE based MLD is based on the concept of PE anomaly, which measures the stratification of a layer of seawater by estimating its energetic distance from a well‐mixed state. We apply the PE anomaly to diagnose the MLD as the depth to which a given energy could homogenize a layer of seawater. We evaluate the MLD defined by common existing methods and demonstrate that they contain a wide range of PE anomalies for the same MLD, particularly evident for deep winter mixed layers. The MLD defined from the PE anomaly ensures a more consistent MLD identified for a large range of stratifications. Furthermore, the PE method relates to the turbulent kinetic energy budget of the ocean surface boundary layer, which is fundamental to upper ocean mixing processes and parameterizations. The resulting MLD is more representative of active boundary layer turbulence, and is more robust to small anomalies in seawater properties.