bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characterisation of the ERF102 to ERF105 genes of Arabidopsis thaliana and their role in the response to cold stress
Authors: Illgen Sylvia , Zintl Stefanie , Zuther Ellen , Hincha Dirk K. , Schmülling Thomas 
Published: March 2020

Abstract
Key message
The four phylogenetically closely related ERF102 to ERF105 transcription factors of Arabidopsis thaliana are regulated by different stresses and are involved in the response to cold stress.

Abstract
The ETHYLENE RESPONSE FACTOR (ERF) genes of Arabidopsis thaliana form a large family encoding plant-specific transcription factors. Here, we characterise the four phylogenetically closely related ERF102/ERF5, ERF103/ERF6, ERF104 and ERF105 genes. Expression analyses revealed that these four genes are similarly regulated by different hormones and abiotic stresses. Analyses of tissue-specific expression using promoter:GUS reporter lines revealed their predominant expression in root tissues including the root meristem (ERF103), the quiescent center (ERF104) and the root vasculature (all). All GFP-ERF fusion proteins were nuclear-localised. The analysis of insertional mutants, amiRNA lines and 35S:ERF overexpressing transgenic lines indicated that ERF102 to ERF105 have only a limited impact on regulating shoot and root growth. Previous work had shown a role for ERF105 in the cold stress response. Here, measurement of electrolyte leakage to determine leaf freezing tolerance and expression analyses of cold-responsive genes revealed that the combined activity of ERF102 and ERF103 is also required for a full cold acclimation response likely involving the CBF regulon. These results suggest a common function of these ERF genes in the response to cold stress.
Effect of Different Methods of Thermal Treatment on Starch and Bioactive Compounds of Potato
Authors: Narwojsz Agnieszka , Borowska Eulalia Julitta , Polak-Śliwińska Magdalena , Danowska-Oziewicz Marzena 
Published: March 2020

AbstractThe study examined the effects of various methods of thermal treatment of Lord cultivar potato tubers on changes in starch, polyphenols, vitamin C, antioxidant activity, and mineral compounds. Following heat treatment in order to determine further transformations of starch, the potatoes were stored at 2 °C/24 h. Changes in starch, bioactive compounds and antioxidant properties varied depending on the treatment method. In general, higher retention of bioactive compounds was noted for tubers treated with “dry” methods, such as microwaving or grilling than for tubers treated with “wet” methods, e.g., boiling in water, steam cooking or cooking in a combi oven. These samples were also characterised by a higher resistant starch content. Cold storage resulted in an increase in the proportion of resistant starch. Total phenols content ranged from 210.96 (boiling) to 348.46 mg/100 g DW (grilling) and vitamin C content ranged from 43.79 (boiling) to 68.83 mg/100 g DW (microwaving). DPPH radical scavenging activity was the highest for the grilled tubers. The results indicate microwaving and grilling as the most favourable thermal treatments of potato.
Chapter model systems in heterogeneous catalysis at the atomic level: a personal view
Authors: Freund Hans-Joachim , Heyde Markus , Kuhlenbeck Helmut , Nilius Niklas , Risse Thomas , Schmidt Thomas , Shaikhutdinov Shamil , Sterrer Martin 
Published: March 2020

AbstractThe review presents an overview of studies in the surface science of oxide and related surfaces with an emphasis of the studies performed in the authors’ group. Novel instruments and technique developments, as well as their applications are reported, in an attempt to cover studies on model systems of increasing complexity, including some of the key ingredients of an industrially applied heterogeneous catalyst and its fabrication. The review is intended to demonstrate the power of model studies in understanding heterogeneous catalysis at the atomic level. The studies include those on supported nano-particles, both, prepared in vacuum and from solution, interaction of surfaces and the underlying bulk with molecules from the gas phase, strong metal support interaction, as well as the first attempt to include studies on reactions in confined spaces.
Religion and CSR: a systematic literature review
Authors: van Aaken Dominik , Buchner Florian 
Published: March 2020

AbstractAround the turn of the millennium, a growing body of literature emerged that focuses on the relationship between religion and corporate social responsibility (CSR). Although the connection between religion and CSR seems obvious at first, the literature in this field yields conflicting results. This paper provides the first systematic review of the literature that deals with the relation between religion and CSR. We categorized the literature into a matrix, which distinguishes the level of analysis (micro/macro) on the one hand and types of approaches (normative/empirical) on the other. Results are clustered according to the religions they address to identify similarities between and locate trends in research.
Storylines for practice: a visual storytelling approach to strengthen the science-practice interface
Authors: Cortes Arevalo Vivian Juliette , Verbrugge Laura N. H. , Sools Anneke , Brugnach Marcela , Wolterink Rik , van Denderen R. Pepijn , Candel Jasper H. J. , Hulscher Suzanne J. M. H. 
Published: March 2020

AbstractA growing number of scientific publications is available to promote sustainable river management. However, these publications target researchers rather than water management professionals who are responsible for the implementation of management practices. To bridge this science-to-practice gap, we conceptualize and propose a series of steps to prepare effective storylines targeted at a practitioner audience. We developed this approach within a research program that supports integrated and collaborative river management. We prepared three storylines, each based on one scientific publication. The storylines combined text and interactive visuals using the ESRI StoryMaps tool to make them available online. Via focus groups with 44 participants from research and practice, we evaluated the perceived usefulness of and engagement with the content and design. We collected feedback from participants using a survey as well as via audio and screen recordings. Our findings show that we should narrow down the audience of the storylines by tailoring them to the needs of project managers rather than specialized advisors. Therefore, the content should offer more than a visual summary of the research by showing examples of the management application. A more engaging sequence with a clear protagonist is further required to better relate to the problem and the potential application. Although visuals and interactive elements were considered attractive, a multi-disciplinary editorial team is necessary to better complement the visuals’ design to the text. The level of detail of participants’ feedback shows that involving project managers to co-create storylines can be an important step for improvement.
Therapy for Cataplexy
Authors: Heidbreder Anna , Dirks Christina , Ramm Markus 
Published: March 2020

Abstract
Purpose of the review
Cataplexy, an involuntary loss of muscle activity triggered by strong emotions is the most impressive symptom in narcolepsy. This review gives an overview of the current understanding of cataplexy and its available treatment options.

Recent findings
With the discovery of hypocretin/orexin, the understanding of the pathophysiology of cataplexy advanced in the past decades. In the recent years, with the development of new anticataplectic agents (e.g., Pitolisant) symptomatic treatment of cataplexy has further improved. Abrupt cessation of anticataplectic medication especially antidepressants increase the risk of status cataplecticus, a virtually continuous series of long-lasting cataplectic attacks.

Summary
Cataplexies still remain an under-recognized phenomenon due to missing diagnostic measures. Treatment for cataplexy still remains symptomatic but new agents with better tolerability and usability are continuously developed. New therapeutic actions either targeting the autoimmune mechanisms underlying orexin cell death or substituting orexin action are promising treatments for the near future.
Development of pre-service teachers’ teaching performance in physical education during a long-term internship
Authors: Greve Steffen , Weber Kira Elena , Brandes Björn , Maier Jessica 
Published: March 2020

AbstractMost teacher education programs in Germany have implemented long-term internships to foster pre-service teachers’ teaching skills. However, there is a lack of research to date regarding the effects of these internships on pre-service teachers’ actual teaching performance. This study attempts to offer insights into the performance development of physical education (PE) pre-service teachers during a 5-months internship. In total, 11 pre-service teachers were videotaped in the same class: three times at the beginning and three times at the end of the internship during PE lessons. All lessons were rated with the Classroom Assessment Scoring System (CLASS) by licensed CLASS observers. CLASS is a highly inferential rating system for the analysis of classroom observations and classroom videos. The CLASS for primary schools (CLASS K-3) assesses 10 dimensions of teacher–student interactions, which are summarized in three core domains. These core domains comprise emotional support, classroom organization, and instructional support. Interrater reliability was assessed using the percent-within-one analysis. The development of teaching performance of pre-service teachers in PE showed no significant rise in the 10 dimensions/three core domains measured over the course of the internship. Interpretations of these findings and practical implications for teacher education are discussed.
Impact of gene therapy for canine monogenic diseases on the progress of preclinical studies
Authors: Switonski Marek 
Published: March 2020

AbstractRapid progress in knowledge of the organization of the dog genome has facilitated the identification of the mutations responsible for numerous monogenic diseases, which usually present a breed-specific distribution. The majority of these diseases have clinical and molecular counterparts in humans. The affected dogs have thus become valuable models for preclinical studies of gene therapy for problems such as eye diseases, immunodeficiency, lysosomal storage diseases, hemophilia, and muscular dystrophy. Successful gene therapies in dogs have significantly contributed to decisions to run clinical trials for several human diseases, such as Leber’s congenital amaurosis 2—LCA2 (caused by a mutation of RPE65), X-linked retinitis pigmentosa—XLRP (caused by mutation RPGR), and achromatopsia (caused by mutation of CNGB3). Promising results were also obtained for canine as follows: hemophilia (A and B), mucopolysaccharidoses (MPS I, MPS IIIB, MPS VII), leukocyte adhesion deficiency (CLAD), and muscular dystrophy (a counterpart of human Duchenne dystrophy). Present knowledge on molecular background of canine monogenic diseases and their successful gene therapies prove that dogs have an important contribution to preclinical studies.
Hand Gesture Recognition in Complex Background Based on Convolutional Pose Machine and Fuzzy Gaussian Mixture Models
Authors: Zhang Tong , Lin Huifeng , Ju Zhaojie , Yang Chenguang 
Published: March 2020

AbstractHand gesture is one of the most intuitive and natural ways for human to communicate with computers, and it has been widely adopted in many human–computer interaction applications. However, it is still a challenging problem when confronted with complex background, illumination variation and occlusion in real-world scenarios. In this paper, a two-stage hand gesture recognition method is proposed to tackle these problems. At the first stage, hand pose estimation is developed to locate the hand keypoints using the convolutional pose machine, which can effectively localize hand keypoints even in a complex background. At the second stage, the Fuzzy Gaussian mixture models (FGMMs) are tailored to reject the nongesture patterns and classify the gestures based on the estimated hand keypoints. Extensive experiments are conducted to evaluate the performance of the proposed method, and the result demonstrates that the proposed algorithm is effective, robust, and satisfactory in real-time scenarios.
Cardiac Spiral Wave Termination by Linear Regional Cooling Toward the Anatomical Boundary of the Heart
Authors: Seno Hiroshi , Tomii Naoki , Yamazaki Masatoshi , Honjo Haruo , Shibata Nitaro , Sakuma Ichiro 
Published: March 2020

Abstract
Purpose
We hypothesized that linear regional cooling (LRC) toward the atrio-ventricular groove (AV-G) can move the spiral wave (SW) center to the AV-G effectively and terminate SW. The effectiveness of LRC in ex vivo 2D ventricle rabbit experiments was tested.

Methods
We developed an experimental system to operate LRC and optical mapping simultaneously. To realize simultaneous cooling and optical mapping, a transparent cooling device was developed. LRC for 60 s toward 2D subepicardial ventricular myocardium of Langendorff-perfused rabbit hearts (n = 4) was conducted during constant pacing and persistent ventricular tachyarrhythmias (VTs).

Results
Action potential duration at 90% repolarization (APD90) at the cooling area was prolonged by LRC from 187 to 228 ms. 41% of persistent VTs were terminated by LRC (12/29 cases). Cases where the original SW center moved toward the AV-G were observed via optical mapping. However, there were some cases where VT was not terminated by LRC. When the action potential duration (APD) of VT sustained cases were analyzed, LRC prolonged APD, but the APD prolonged area did not move toward the AV-G in most VT sustained cases

Conclusion
Proper LRC toward the AV-G near the original SW center could move this center toward the AV-G and terminate SW excitation.
Evolving network representation learning based on random walks
Authors: Heidari Farzaneh , Papagelis Manos 
Published: March 2020

AbstractLarge-scale network mining and analysis is key to revealing the underlying dynamics of networks, not easily observable before. Lately, there is a fast-growing interest in learning low-dimensional continuous representations of networks that can be utilized to perform highly accurate and scalable graph mining tasks. A family of these methods is based on performing random walks on a network to learn its structural features and providing the sequence of random walks as input to a deep learning architecture to learn a network embedding. While these methods perform well, they can only operate on static networks. However, in real-world, networks are evolving, as nodes and edges are continuously added or deleted. As a result, any previously obtained network representation will now be outdated having an adverse effect on the accuracy of the network mining task at stake. The naive approach to address this problem is to re-apply the embedding method of choice every time there is an update to the network. But this approach has serious drawbacks. First, it is inefficient, because the embedding method itself is computationally expensive. Then, the network mining task outcome obtained by the subsequent network representations are not directly comparable to each other, due to the randomness involved in the new set of random walks involved each time. In this paper, we propose EvoNRL, a random-walk based method for learning representations of evolving networks. The key idea of our approach is to first obtain a set of random walks on the current state of network. Then, while changes occur in the evolving network’s topology, to dynamically update the random walks in reserve, so they do not introduce any bias. That way we are in position of utilizing the updated set of random walks to continuously learn accurate mappings from the evolving network to a low-dimension network representation. Moreover, we present an analytical method for determining the right time to obtain a new representation of the evolving network that balances accuracy and time performance. A thorough experimental evaluation is performed that demonstrates the effectiveness of our method against sensible baselines and varying conditions.
Fructose dehydration to hydroxyl-methylfurfural in an immobilized catalytic microreactor
Authors: Visan Aura , Lammertink Rob G. H. 
Published: March 2020

AbstractIn this paper we report a microfluidic platform that allows for high temperature, high pressure conversion with inline spectroscopic measurement for a fast and accurate determination of both reaction rate constant and activation energy. The dehydration of fructose to hydroxyl-methylfurfural has been performed in this immobilized microreactor with both dense zirconia and porous titania layers, as a starting point to probe the potential of abundant metal oxide catalysts.
The use of Bayesian networks for realist evaluation of complex interventions: evidence for prevention of human trafficking
Authors: Kiss Ligia , Fotheringhame David , Mak Joelle , McAlpine Alys , Zimmerman Cathy 
Published: March 2020

AbstractComplex systems and realist evaluation offer promising approaches for evaluating social interventions. These approaches take into account the complex interplay among factors to produce outcomes, instead of attempting to isolate single causes of observed effects. This paper explores the use of Bayesian networks (BNs) in realist evaluation of interventions to prevent complex social problems. It draws on the example of the theory-based evaluation of the Work in Freedom Programme (WIF), a large UK-funded anti-trafficking intervention by the International Labour Organisation in South Asia. We used BN to explore causal pathways to human trafficking using data from 519 Nepalese returnee migrants. The findings suggest that risks of trafficking are mostly determined by migrants’ destination country, how they are recruited and in which sector they work. These findings challenge widely held assumptions about individual-level vulnerability and emphasize that future investments will benefit from approaches that recognise the complexity of an intervention’s causal mechanisms in social contexts. BNs are a useful approach for the conceptualisation, design and evaluation of complex social interventions.
Preserving and Digitizing Djenné’s Manuscript Collections: The Politics of Space and Agency in Central Mali
Authors: Stockreiter Elke E. 
Published: March 2020

AbstractThis article explores archival practices and ownership of the largely Arabic manuscript collections at the Djenné Manuscript Library. From 2009 to 2017 grants from the British Library’s Endangered Archives Programme enabled the preservation of 8,520 manuscripts and digitization of about 400,000 folios. In a politically volatile environment like Mali, the future of historical research is mostly contingent on the availability of digital archives. While these archives enable research that otherwise could not be conducted, they also limit the research experience in situ and thus affect findings. For the manuscript owners, questions arise about digital imperialism.
Unsettling Feminist Philosophy: An Encounter with Tracey Moffatt'sNight Cries
Authors: Park Shelley M. 
Published: March 2020

AbstractThis essay seeks to unsettle feminist philosophy through an encounter with Aboriginal artist Tracey Moffatt, whose perspectives on intergenerational relationships between (older) white women and (younger) Indigenous women are shaped by her experiences as the Aboriginal child of a white foster mother growing up in Brisbane, Australia during the 1960s. Moffatt's short experimental film Night Cries provides an important glimpse into the violent intersections of gender, race, and power in intimate life and, in so doing, invites us to see how colonial and neocolonial policies are carried out through women's domestic labor. Seeing cross-generational and cross-racial intimacy through Moffatt's lens, I suggest, helps us to unsettle both feminist theories of motherhood and feminist practices of mentoring.
The difference in the incubation period of 2019 novel coronavirus (SARS-CoV-2) infection between travelers to Hubei and nontravelers: The need for a longer quarantine period
Authors: Leung Char 
Published: March 2020

AbstractData collected from the individual cases reported by the media were used to estimate the distribution of the incubation period of travelers to Hubei versus that of nontravelers. Because a longer and more volatile incubation period has been observed in travelers, the duration of quarantine should be extended to 3 weeks.
Bayesian calibration of an avalanche model from autocorrelated measurements along the flow: application to velocities extracted from photogrammetric images
Authors: Heredia María Belén , Eckert Nicolas , Prieur Clémentine , Thibert Emmanuel 
Published: March 2020

AbstractPhysically-based avalanche propagation models must still be locally calibrated to provide robust predictions, e.g. in long-term forecasting and subsequent risk assessment. Friction parameters cannot be measured directly and need to be estimated from observations. Rich and diverse data are now increasingly available from test-sites, but for measurements made along flow propagation, potential autocorrelation should be explicitly accounted for. To this aim, this work proposes a comprehensive Bayesian calibration and statistical model selection framework. As a proof of concept, the framework was applied to an avalanche sliding block model with the standard Voellmy friction law and high rate photogrammetric images. An avalanche released at the Lautaret test-site and a synthetic data set based on the avalanche are used to test the approach and to illustrate its benefits. Results demonstrate (1) the efficiency of the proposed calibration scheme, and (2) that including autocorrelation in the statistical modelling definitely improves the accuracy of both parameter estimation and velocity predictions. Our approach could be extended without loss of generality to the calibration of any avalanche dynamics model from any type of measurement stemming from the same avalanche flow.
GENERALIZATION OF THE PAIRWISE STOCHASTIC PRECEDENCE ORDER TO THE SEQUENCE OF RANDOM VARIABLES
Authors: Finkelstein Maxim , Hazra Nil Kamal 
Published: March 2020

AbstractWe discuss a new stochastic ordering for the sequence of independent random variables. It generalizes the stochastic precedence (SP) order that is defined for two random variables to the case n > 2. All conventional stochastic orders are transitive, whereas the SP order is not. Therefore, a new approach to compare the sequence of random variables had to be developed that resulted in the notion of the sequential precedence order. A sufficient condition for this order is derived and some examples are considered.