bluuebunny/crossref_metadata_2025_split huggingface dataset:
STEM Teaching and Learning in Bush Kinders
Authors: Speldewinde Chris 
Published: May 2022

AbstractFor over 50 years, the forest school approach to nature learning has gathered momentum in the UK and across parts of Europe including Scandinavia (Knight, 2016). In other contexts such as Canada, New Zealand and Australia, nature-based early childhood education and care settings, influenced by European forest school approaches, have begun to gain popularity. Opportunities for STEM education occur in nature-based settings, such as forest schools and nature kindergartens, yet this area has only garnered limited research attention to date. One such example of a nature kindergarten which emerged in the 2010s is Australian ‘bush kinder’ where 4- to 5-year-old preschool children experience and learn from nature. This paper arrives at an innovative conceptualisation of STEM teaching and learning in bush kinders. Through analysing research in early years STEM education, teacher pedagogy and early childhood learning, I propose a teaching and learning process that is replicable for similar nature-based early childhood education and care settings. Drawing on vignettes from ethnographic fieldwork data, the conceptualisation of an integrated approach to STEM teaching in bush kinders is illustrated. To frame the approach to STEM teaching, this analysis builds on the notions that STEM teaching and learning can take the form of a five-phased cyclical process. It is this process that contributes to the conceptualisation of STEM teaching and learning in early childhood education.
Differential Expression of Super-Enhancer-Associated Long Non-coding RNAs in Uterine Leiomyomas
Authors: Chuang Tsai-Der , Quintanilla Derek , Boos Drake , Khorram Omid 
Published: May 2022

AbstractSuper-enhancer-associated long non-coding RNAs (SE-lncRNAs) are a specific set of lncRNAs transcribed from super-enhancer (SE) genomic regions. Recent studies have revealed that SE-lncRNAs play essential roles in tumorigenesis through the regulation of oncogenes. The objective of this study was to elucidate the expression profile of SE-lncRNAs with concurrent assessment of associated mRNAs in leiomyomas and paired myometrium. Arraystar SE-lncRNAs arrays were used to systematically profile the differentially expressed SE-lncRNAs along with the corresponding SE-regulated protein coding genes in eight leiomyomas and paired myometrium. The analysis indicated 7680 SE-lncRNAs were expressed, of which 721 SE-lncRNAs were overexpressed, while 247 SE-lncRNAs were underexpressed by 1.5-fold or greater in leiomyoma. Thirteen novel SE-lncRNAs and their corresponding protein coding genes were selected, and their expression was confirmed in eighty-one paired leiomyoma tissues by quantitative real-time PCR. The thirteen pairs of SE-lncRNAs and their corresponding protein coding genes included RP11-353N14.2/CBX4, SOCS2-AS1/SOCS2, RP1-170O19.14/HOXA11, CASC15/PRL, EGFLAM-AS1/EGFLAM, RP11-225H22/NEURL1, RP5-1086K13.1/CD58, AC092839.3/SPTBN1, RP11-69I8.3/CTGF, TM4SF1-AS1/TM4SF1, RP11-373D23/FOSL2, RP11-399K21.11/COMTD1, and CTB-113P19.1/SPARC. Among these SE-lncRNAs, the expression of SOCS2-AS1/SOCS2, RP11-353N14.2/CBX4, RP1-170O19.14/HOXA11, and RP11-225H22/NEURL1 was significantly higher in African Americans as compared with Caucasians. The expression of RP11-353N14.2/CBX4, SOCS2-AS1/SOCS2, CASC15/PRL, and CTB-113P19.1/SPARC was significantly higher in tumors with MED12-mutation-positive as compared with MED12-mutation-negative tumors. Collectively, our results indicate that the differential expression of SE in leiomyomas is another mechanism contributing to dysregulation of protein coding genes in leiomyomas and that race and MED12 mutation can influence the expression of a select group of SE.
An attention enhanced dilated CNN approach for cross-axis industrial robotics fault diagnosis
Authors: Liu Yuxin , Chen Chong , Wang Tao , Cheng Lianglun 
Published: May 2022

AbstractAn industrial robot is a complex mechatronics system, whose failure is hard to diagnose based on monitoring data. Previous studies have reported various methods with deep network models to improve the accuracy of fault diagnosis, which can get an accurate prediction model when the amount of data sample is sufficient. However, the failure data is hard to obtain, which leads to the few-shot issue and the bad generalization ability of the model. Therefore, this paper proposes an attention enhanced dilated convolutional neural network (D-CNN) approach for the cross-axis industrial robotics fault diagnosis method. Firstly, key feature extraction and sliding window are adopted to pre-process the monitoring data of industrial robots before D-CNN is introduced to extract data features. And self-attention is used to enhance feature attention capability. Finally, the pre-trained model is used for transfer learning, and a small number of the dataset from another axis of the multi-axis industrial robot are used for fine-tuning experiments. The experimental results show that the proposed method can reach satisfactory fault diagnosis accuracy in both the source domain and target domain.
Establishment of Rat Model of Female Genital Sexual Arousal Disorder
Authors: Li Guangyong , Yu Puguang , Hu Yanan , Hu Zhenxing , Li Jian , Zhan Xuekang , Su Yashan , Yu Chen , Wen Jing , Liu Hetao , He Rui 
Published: May 2022

Abstract

Introduction
Female Genital Sexual Arousal Disorder (FGSAD) seriously affects women's quality of life and Sexual life, but it still lacks ideal FGSAD animal models for further study.

Aim
To establish a specific model of female genital sexual arousal disorder and explore the mechanisms resulting in FGSAD.

Methods
After delivery, female rats were guided by expansions of the vagina and ovariectomy (VD+OVX, n = 10); in VD group female rats were just extended by the vagina (VD, n = 10), in OVX group female rats were treated with ovariectomy (OVX, n = 10);the remaining had 1 longitudinal incision as sham group(n = 10).

Outcomes
Vaginal dilatation combined with ovariectomy in rats may reflect female genital sexual arousal disorder with high reproducibility and stability.

Results
Vaginal tissue of female rats in OVX group and VD+OVX group showed an increase in blood flow, decrease in muscle content compared to the sham group. The proportion of collagen fiber I/III decreased and the elastic fiber showed significant rupture and fragmentation; Structural reticular integrity was also significantly separated and broken from the muscle fibers. However, there was no significant difference in vaginal blood flow, fibers and vascular between VD group and Sham group. The damage of vaginal tissue in VD+OVX group was more significant than that in OVX and VD groups.

Clinical Translation
We have constructed a specific animal model that can provide clinical insights into the mechanism of FGSAD and serves as a good avenue for further research of its treatment.

Strengths and Limitations
Vaginal dilatation combined with ovariectomy in rats is a specific animal model with high reproducibility and stability, but we do acknowledge the shortcomings and limitation present in our study. Since genital arousal disorder has many different etiologies that impact the vagina, the clitoris and surrounding tissues, there is no “gold standard” model that different models attempt to investigate different etiologies.

Conclusion
The female genital sexual arousal disorder model established by vaginal dilatation combined with ovariectomy is a novel rat model with simple induction conditions, which pathogenic mechanism of female genital sexual arousal disorders maybe connected with the change of VEGF and MMP-9 in vaginal fibromuscular system and microvascular.
Specialised minds: extending adaptive explanations of personality to the evolution of psychopathology
Authors: Hunt Adam D. , Jaeggi Adrian V. 
Published: May 2022

AbstractTraditional evolutionary theory invoked natural and sexual selection to explain species- and sex-typical traits. However, some heritable inter-individual variability in behaviour and psychology – personality – is probably adaptive. Here we extend this insight to common psychopathological traits. Reviewing key findings from three background areas of importance – theoretical models, non-human personality and evolved human social dynamics – we propose that a combination of social niche specialisation, negative frequency-dependency, balancing selection and adaptive developmental plasticity should explain adaptation for individual differences in psychology – ‘specialised minds’ – explaining some variance in personality and psychopathology trait dimensions, which share various characteristics. We suggest that anthropological research of behavioural differences should be extended past broad demographic factors (age and sex) to include individual specialisations. As a first step towards grounding psychopathology in ancestral social structure, we propose a minimum plausible prevalence, given likely ancestral group sizes, for negatively frequency-dependent phenotypes to be maintained as specialised tails of adaptive distributions – below the calculated prevalence, specialisation is highly unlikely. For instance, chronic highly debilitating forms of autism or schizophrenia are too rare for such explanations, whereas attention-deficit-hyperactivity disorder and broad autism phenotypes are common enough to have existed in most hunter-gatherer bands, making adaptive explanations more plausible.
MISCOORDINATION, POLITICS AND POPULISM
Authors: Duley Chanelle , Gai Prasanna 
Published: May 2022

AbstractWe present two models that shed light on two issues in the political economy of populism: incumbents who refuse to give up office following a democratic election; and politicians gambling with major policy shifts when their consequences are uncertain. In the democratic transition of power, common knowledge about the veracity of the election process enables citizens to threaten incumbents with protests if they attempt to retain their seats in power. If doubt over electoral integrity prevails, office-seeking incumbents sometimes reject electoral rules. In considering policy gambles, politicians supply policy shifts in response to voters and elites vying for a greater share of economic output. When the mapping from policy to outcomes is uncertain, voters opt for policy gambles, even though these are detrimental to their ex ante welfare, to redress the division of output. These models underscore the importance of institutions that address the source of each coordination failure.
THE POLITICAL ECONOMY OF LEFT AND RIGHT POPULISM
Authors: Cruddas Jon 
Published: May 2022

AbstractThe deepening distrust in democracy has grown out of a decade of low growth and cuts to public spending, which in turn has consolidated wage decline while also fuelling a wider sense of economic insecurity. As poverty and inequality intensify, social mobility is in reverse and the social contract is under growing strain. Support for populists has recently receded, but the inability of democratic systems to address deep-seated problems sows the seeds for future populist revolts. Both left- and right-wing governments have responded to increasing anger and alienation with policies that exacerbate existing inequalities of income and wealth, combined with disparities of decision-making power and social status. These are ethical as much as economic questions and they demand a much more robust response than technocratic administration. Otherwise, ethical social democracy and communitarian conservatism will fail to defeat the authoritarianism of both radical-right national populists and the tech-utopianism of far-left populists.
The paleoenvironment and depositional context of the Sumerian site of Abu Tbeirah (Nasiriyah, southern Mesopotamia, Iraq)
Authors: Forti Luca , Romano Licia , Celant Alessandra , D'Agostino Franco , Rita Federico Di , Jotheri Jaafar , Magri Donatella , Mazzini Ilaria , Tentori Daniel , Milli Salvatore 
Published: May 2022

AbstractThe Sumerian culture flourished within the Tigris and Euphrates rivers floodplains and along their deltaic systems, which ca. 6000 yr were located ~250–260 km inland from the present Persian Gulf. Here, large floodplains and marshes were crossed by an intricate network of channels where several human settlements developed. In this paper, we describe in detail the paleoenvironmental context where the site of Abu Tbeirah (third millennium BC) developed, near the Sumerian capital of Ur. Our interdisciplinary approach, based on remote sensing and the geomorphological study of the area, as well as on sedimentological, paleontological, and paleobotanical analyses of trenches and boreholes deposits, reveals that the site developed along a sinuous channel in a floodplain and marshy environment, where several crevasse splays occurred. This channel was cut off following a flood event. The abandoned portion of the channel was exploited by residents and used as a small river harbor. Our research contributes to better define how the landscape of the site changed over the course of its history and how humans exploited water resources of the area during occupation of the site, a process that was pivotal for the development of the Sumerian culture.
Why Don't Partisans Sanction Electoral Malpractice?
Authors: Aarslew Laurits F. 
Published: May 2022

AbstractPartisans rarely punish their party at the polls for violating democratic norms or cheating in elections. However, we know little about the underlying reasons. I examine why partisans rarely sanction in-party malpractice. Using pre-registered survey experiments in Denmark and Mexico, I examine the different steps in how partisans adjust their views in response to revelations of electoral malpractice and distinguish between two substantively different explanations. Do pervasive biases prevent partisans from viewing in-party malpractice as illegitimate? Or, do partisans accurately update their views when learning about malpractice but refrain from voting against their party? The analysis demonstrates that partisans do not apply double standards when evaluating malpractice. However, although partisans punish in-party malpractice, they hold opposing parties in such low esteem that even revelations of malpractice do not change their minds. These findings contribute to our understanding of how partisans think about electoral malpractice and political malfeasance more broadly.
Mineralogy controls fracture containment in mechanically layered carbonates
Authors: Bowness Nina P. , Cawood Adam J. , Ferrill David A. , Smart Kevin J. , Bellow Harrison B. 
Published: May 2022

AbstractUnderstanding the distribution and geometry of faults and fractures is critical for predicting both subsurface permeability architecture and the integrity of geological fluid barriers, particularly in rocks with low primary porosity and permeability. While fracture patterns in relatively competent, weathering-resistant (therefore often well-exposed) rocks are generally well studied in outcrop, the role of mechanically weak layers in defining fracture patterns is frequently overlooked or under-represented. Here we show that rock composition, specifically clay and silicate minerals versus carbonate content, exerts a strong control on fault and fracture propagation and bed-containment within a mechanically layered, Cretaceous carbonate sequence at Canyon Lake Gorge, Texas. We find that relatively incompetent, clay-rich layers limit fault and fracture propagation, and cause bed-containment of fractures in more competent beds. In our results, no clear relationships exist between mechanical layer thickness and fracture abundance. These results are important for understanding the relative importance of composition versus bed thickness on fracture abundance in the subsurface, and for predicting fracture-controlled fluid flow pathways, seals and fracture connectivity across beds with variable compositions, thicknesses and competences.
For the Many: A Review Dossier
Authors: Boris Eileen 
Published: May 2022

AbstractThis introduction to the review dossier on Dorothy Sue Cobble, For the Many: American Feminists and the Global Fight for Democratic Equality, introduces the major themes of the work in light of Cobble's earlier interventions in gendering labor history and focus on laborite activist women here called “full rights feminists”. It asks the contributors to expand on and decenter the transnational and global influence of Cobble's feminists and their views on capitalism and democracy in light of their own research. Among questions considered are: what do we gain from attention to the ideas and activism of low-income and immigrant women in our various histories? How do questions of race/white privilege, citizenship, empire, colonialism, and imperialism complicate understandings of equality and democracy? What is revealed by considering class in women's history?
Community detection and percolation of information in a geometric setting
Authors: Eldan Ronen , Mikulincer Dan , Pieters Hester 
Published: May 2022

AbstractWe make the first steps towards generalising the theory of stochastic block models, in the sparse regime, towards a model where the discrete community structure is replaced by an underlying geometry. We consider a geometric random graph over a homogeneous metric space where the probability of two vertices to be connected is an arbitrary function of the distance. We give sufficient conditions under which the locations can be recovered (up to an isomorphism of the space) in the sparse regime. Moreover, we define a geometric counterpart of the model of flow of information on trees, due to Mossel and Peres, in which one considers a branching random walk on a sphere and the goal is to recover the location of the root based on the locations of leaves. We give some sufficient conditions for percolation and for non-percolation of information in this model.
Microbiome-Inspired Green Infrastructure: a bioscience roadmap for urban ecosystem health
Authors: Robinson Jake M. , Watkins Harry , Man Ioana , Liddicoat Craig , Cameron Ross , Parker Brenda , Cruz Marcos , Meagher Laura 
Published: May 2022

Microbiome-Inspired Green Infrastructure (MIGI) was recently proposed as an integrative system to promote healthy urban ecosystems through multidisciplinary design. Specifically, MIGI is defined as nature-centric infrastructure restored, designed, and managed to enhance health-promoting interactions between humans and environmental microbiomes while sustaining microbially mediated ecosystem functionality and resilience. MIGI also aims to stimulate a research agenda that focuses on considerations for the importance of urban environmental microbiomes.In this article, we provide details of what MIGI entails from a bioscience and biodesign perspective, highlighting the potential dual benefits for human and ecosystem health. We present ‘what is known’ about the relationship between urban microbiomes, green infrastructure, and environmental factors that may affect urban ecosystem health - taken here to mean ecosystem functionality and resilience, as well as human health. We discuss how to start operationalising the MIGI concept based on current available knowledge and present a horizon-scan of emerging and future considerations in research and practice.We conclude by highlighting challenges to implementing MIGI and propose a series of workshops to discuss multi-stakeholder needs and opportunities. This research will enable urban landscape managers to incorporate initial considerations for the microbiome in their development projects to promote human and ecosystem health. However, overcoming the challenges to operationalising MIGI will be essential to furthering its practical development. Although the research is in its infancy, there is considerable potential for MIGI to help deliver sustainable urban development driven by considerations for reciprocal relations between humans and the foundations of our ecosystems – the microorganisms.
Introduction to Fourier Ptychography: Part I
Authors: Zhou Kevin C. , Aidukas Tomas , Loetgering Lars , Wechsler Felix , Horstmeyer Roarke 
Published: May 2022

Abstract:Fourier ptychography is an emerging computational microscopy technique that can generate gigapixel-scale images of biological samples. With only the addition of a low-cost LED array to a standard digital microscope and a reconstruction algorithm, Fourier ptychography overcomes the fundamental trade-off between a microscope's resolution and field-of-view without any moving parts. This article is the first in a three-part series that aims to introduce the fundamentals of the technology to the broader microscopy community and beyond, using intuitive explanations.
The Effects of Model Complexity on Model Output Uncertainty in Co‐Evolved Coupled Natural‐Human Systems
Authors: Lin Chung‐Yi , Yang Yi‐Chen Ethan 
Published: May 2022

AbstractStudies have recently focused on using coupled natural‐human systems (CNHS) to inform policymaking. However, model uncertainty can increase with model complexity and affect the variance of the model outcomes. Therefore, this study explores an uncertainty analysis of coupled hydrological and human decision models to better evaluate CNHS modeling properties. Five coupled models are proposed with different model complexities for human behavior settings (i.e., model structure and the number of calibrated parameters): one static, two adaptive, and two learning adaptive. Learning adaptive models (the most complex) have both a learning component (capturing long‐term trends) and an adaptive component (capturing short‐term variations), while adaptive models omit the learning component. The static model is the simplest, without learning or adaptive components. Applying the law of total variance, the model output uncertainty is decomposed into three sources: (a) climate change scenario uncertainty, (b) climate internal variability, and (c) different model configurations with parameter sets or model structures that are equally capable of producing similar outcomes. Our exploratory analysis demonstrated that model uncertainty would likely increase with model complexity given uncertain input data (e.g., climate forcing) and different model configurations; the inclusion of a learning mechanism in the human system can potentially offset the impact of the natural system on uncertainty through coupling natural and human systems. We also discuss other uncertainty sources, such as assumptions about model structure due to incomplete knowledge and metrics for calibration target selection for future studies.