cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Ana Grgić: Early Cinema, Modernity and Visual Culture. The Imaginary of the Balkans
Creators: name: Enyedi, Delia
Publisher: name: Apparatus. Film, Media and Digital Cultures of Central and Eastern Europe
Year: 2022

description: In her new book Early Cinema, Modernity and Visual Culture. The Imaginary of the Balkans, Ana Grgić defines the region as a cultural entity captured at the turn of the twentieth century – a period marked by the culture of modernity sweeping Europe and the emergence of the moving pictures. This methodological approach contributes to breaking a longstanding tradition in the field of early and silent cinema studies focused on the ‘national’.
description: Apparatus. Film, Media and Digital Cultures of Central and Eastern Europe, No. 15 (2022)
Brain dopamine and serotonin differ in regulation and its consequences
Creators: name: Takmakov, P.
name: Lama, R.
name: Wightman, R. M.
name: Wood, K. M.
name: Hashemi, P.
name: Dankoski, E. C.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: Dopamine and serotonin (5-hydroxytryptamine or 5-HT) are neurotransmitters that are implicated in many psychological disorders. Although dopamine transmission in the brain has been studied extensively in vivo with fast scan cyclic voltammetry, detection of 5-HT using in vivo voltammetric methods has only recently been established. In this work we use two carbon-fiber microelectrodes to simultaneously measure dopamine release in the nucleus accumbens and 5-HT release in the substantia nigra pars reticulata, using a common stimulation in a single rat. We find that 5-HT release is profoundly restricted in comparison with dopamine release despite comparable tissue content levels. Using physiological and pharmacological analysis, we find that 5-HT transmission is mostly sensitive to uptake and metabolic degradation mechanisms. In contrast, dopamine transmission is constrained by synthesis and repackaging. Finally, we show that disruption of serotonergic regulatory mechanisms by simultaneous inhibition of uptake and metabolic degradation can have severe physiological consequences that mimic serotonin syndrome.
Second order resonant Raman scattering in single layer tungsten disulfide (WS$_{2}$)
Creators: name: Mitioglu, A. A.
name: Plochocka, P.
name: Deligeorgis, G.
name: Anghel, S.
name: Kulyuk, L.
name: Maude, D. K.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Resonant Raman spectra of single layer WS$_{2}$ flakes are presented. A second order Raman peak (2LA) appears under resonant excitation with a separation from the E$^{1}_{2g}$ mode of only $4$cm$^{-1}$. Depending on the intensity ratio and the respective line widths of these two peaks, any analysis which neglects the presence of the 2LA mode can lead to an inaccurate estimation of the position of the E$^{1}_{2g}$ mode, leading to a potentially incorrect assignment for the number of layers. Our results show that the intensity of the 2LA mode strongly depends on the angle between the linear polarization of the excitation and detection, a parameter which is neglected in many Raman studies.
description: 6 pages, 4 figures
Binomial Prediction Using the Frequent Outcome Approach
Creators: name: O'Neill, Ben
Publisher: name: arXiv
Year: 2022
Subjects: subject: Statistics Theory (math.ST)
subject: Methodology (stat.ME)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences
subject: 60C05, 62C10

description: Within the context of the binomial model, we analyse sequences of values that are almost-uniform and we discuss a prediction method called the frequent outcome approach, in which the outcome that has occurred the most in the observed trials is the most likely to occur again. Using this prediction method we derive probability statements for the prior probability of correct prediction, conditional on the underlying parameter value in the binomial model. We show that this prediction method converges to a level of accuracy that is equivalent to ideal prediction based on knowledge of the model parameter.
Big data analysis and distributed deep learning for next-generation intrusion detection system optimization
Creators: name: Jallad, Khloud Al
name: Aljnidi, Mohamad
name: Desouki, Mohammad Said
Publisher: name: arXiv
Year: 2022
Subjects: subject: Cryptography and Security (cs.CR)
subject: Artificial Intelligence (cs.AI)
subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: With the growing use of information technology in all life domains, hacking has become more negatively effective than ever before. Also with developing technologies, attacks numbers are growing exponentially every few months and become more sophisticated so that traditional IDS becomes inefficient detecting them. This paper proposes a solution to detect not only new threats with higher detection rate and lower false positive than already used IDS, but also it could detect collective and contextual security attacks. We achieve those results by using Networking Chatbot, a deep recurrent neural network: Long Short Term Memory (LSTM) on top of Apache Spark Framework that has an input of flow traffic and traffic aggregation and the output is a language of two words, normal or abnormal. We propose merging the concepts of language processing, contextual analysis, distributed deep learning, big data, anomaly detection of flow analysis. We propose a model that describes the network abstract normal behavior from a sequence of millions of packets within their context and analyzes them in near real-time to detect point, collective and contextual anomalies. Experiments are done on MAWI dataset, and it shows better detection rate not only than signature IDS, but also better than traditional anomaly IDS. The experiment shows lower false positive, higher detection rate and better point anomalies detection. As for prove of contextual and collective anomalies detection, we discuss our claim and the reason behind our hypothesis. But the experiment is done on random small subsets of the dataset because of hardware limitations, so we share experiment and our future vision thoughts as we wish that full prove will be done in future by other interested researchers who have better hardware infrastructure than ours.
Molly Thomasy Blasing: Snapshots of the Soul: Photo-Poetic Encounters in Modern Russian Culture
Creators: name: Furač, Lucija
Publisher: name: Apparatus. Film, Media and Digital Cultures of Central and Eastern Europe
Year: 2022

description: How can photography inform poetic language? Molly Thomasy Blasing, an associate professor of Russian studies at the University of Kentucky (USA) who specialises in modern and contemporary Russian poetry as well as encounters between literature and the visual arts, tries to answer this question in her book Snapshots of the Soul: Photo-Poetic Encounters in Modern Russian Culture.
description: Apparatus. Film, Media and Digital Cultures of Central and Eastern Europe, No. 15 (2022)
A new explicit formula for Bernoulli and Genocchi numbers in terms of Stirling numbers
Creators: name: Guo, Bai-Ni
name: Qi, Feng
Publisher: name: arXiv
Year: 2014
Subjects: subject: Number Theory (math.NT)
subject: Combinatorics (math.CO)
subject: FOS: Mathematics
subject: 11B68, 11B73

description: In the paper, the authors review some explicit formulas and establish a new explicit formula for Bernoulli and Genocchi numbers in terms of Stirling numbers of the second kind.
description: 4 pages
LUE - Land Use Efficiency
Creators: name: Corbane, Christina
name: Politis, Panagiotis
name: Siragusa, Alice
name: Kemper, Thomas
name: Pesaresi, Martino
Publisher: name: GEO Knowledge Hub
Year: 2020
Subjects: Land use
Population
Population growth rate
Land Use Efficiency
Earth Observations Toolkit for Sustainable Cities and Human Settlements
Impervious Surface
Code: Python

description: Estimation of the land use efficiency from the Global Human Settlement Layer (GHSL).
The software is a Graphical tool written in Python and works as a tool in the QGIS processing toolbox. QGIS is a cross-platform free and open-source desktop GIS application. The tool is compatible with QGIS v.2.14 and following versions.
This tool supports the measuring of target 11.3 of the SDGS. Proposed indicator 11.3.1 is:

UN version: ratio between the land use growth rate and population growth rate;
JRC version: change rate of the built-up are per capita.
This indicator allows measuring the Land Use Efficiency (LUE), that consists in the analysis of the evolution of the relation between the use of land and the growth of population. It works with input raster data on population and built-up. The GHSL baseline data is proposed as a show case. The user can define the area of interest for the analysis of the Land Use efficiency.
Related materials
This resource is associated with the Earth Observations Toolkit for Sustainable Cities and Human Settlements. If you want to learn more about it, please, check the EO Toolkit portal (https://eotoolkit.unhabitat.org/), a place where you will find use cases, learning material, and many other tools and resources related to the Sustainable Development Goal 11 and New Urban Agenda.
metagenomic and meta-virmic sequencing of human vaginal microorganisms
Creators: name: 唐瑞祥(Ruixiang Tang)
Publisher: name: CNGB
Year: 2023
Subjects: Raw sequence reads
Genome sequencing
Metagenome
Multiisolate
Medical

description: Sequencing data of microbiological samples of cervix and midvaginal tract from 11 healthy Chinese women, where the host sequence has been removed.
Anomaly detection optimization using big data and deep learning to reduce false-positive
Creators: name: Jallad, Khloud Al
name: Aljnidi, Mohamad
name: Desouki, Mohammad Said
Publisher: name: arXiv
Year: 2022
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Cryptography and Security (cs.CR)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Anomaly-based Intrusion Detection System (IDS) has been a hot research topic because of its ability to detect new threats rather than only memorized signatures threats of signature-based IDS. Especially after the availability of advanced technologies that increase the number of hacking tools and increase the risk impact of an attack. The problem of any anomaly-based model is its high false-positive rate. The high false-positive rate is the reason why anomaly IDS is not commonly applied in practice. Because anomaly-based models classify an unseen pattern as a threat where it may be normal but not included in the training dataset. This type of problem is called overfitting where the model is not able to generalize. Optimizing Anomaly-based models by having a big training dataset that includes all possible normal cases may be an optimal solution but could not be applied in practice. Although we can increase the number of training samples to include much more normal cases, still we need a model that has more ability to generalize. In this research paper, we propose applying deep model instead of traditional models because it has more ability to generalize. Thus, we will obtain less false-positive by using big data and deep model. We made a comparison between machine learning and deep learning algorithms in the optimization of anomaly-based IDS by decreasing the false-positive rate. We did an experiment on the NSL-KDD benchmark and compared our results with one of the best used classifiers in traditional learning in IDS optimization. The experiment shows 10% lower false-positive by using deep learning instead of traditional learning.
A new algorithmic approach to better predict eating quality from rearing practices
Creators: name: Albechaalany, John
name: Ellies-Oury, Marie-Pierre
name: Hocquette, Jean-François
name: Berri, Cécile
name: Saracco, Jerome
Publisher: name: Zenodo
Year: 2023

description: Meat is a highly nutritious food source that plays a significant role in the global economy. The meat industry has experienced considerable growth in the past few decades, driven by increasing demand for animal protein from growing populations worldwide [1]. However, consumers are now becoming more aware of the impacts of meat production on animal welfare and the environment. As a result, consumer behavior has shifted towards healthier, more sustainable, and animal welfare food, leading to a decline in meat consumption and a demand for high-quality meat (in terms of sensory as well as nutritional quality). To address these challenges, the meat industry needs to adopt new strategies that optimize meat quality and meet consumer demands [2-3]. One of these approaches is to use husbandry practices to estimate meat quality at an early stage, in order to reach an optimal quality and to answer the demand of the consumers. A methodological approach and the corresponding algorithm are presented to meet these objectives using a chicken dataset.
Supplemental Materials for "Analysis of globally propagating spherical shockwaves from great volcano eruption using barometric pressure data"
Creators: name: Li, Chunyan
Publisher: name: Zenodo
Year: 2023

description: These files are supplemental materials for the article C. Li (2023) Analysis of globally propagating spherical shockwaves from great volcano eruption using barometric pressure data prepared by for STAR Protocols and also for the article: C. Li (2022) Global Shockwaves of the Hunga Tonga-Hunga Ha'apai Volcano Eruption Measured at Ground Stations. iScience 25, 105356, November 18, 2022. https://doi.org/10.1016/j.isci.2022.105356. Here the data files are included. The Fourier filter functions in MATLAB are included. Included are also an example script for the usage of the said MATLAB functions analyzing the data with spherical shockwaves from the Tonga volcano eruption.
description: {"references": ["2022 Li, C., Global Shockwaves of the Hunga Tonga-Hunga Ha'apai Volcano Eruption Measured at Ground Stations. iScience 25, 105356, November 18, 2022. https://doi.org/10.1016/j.isci.2022.105356."]}
Brassinosteroids modulate the efficiency of plant immune responses to microbe-associated molecular patterns
Creators: name: Epple, P.
name: Dangl, J. L.
name: Chory, J.
name: Belkhadir, Y.
name: Balsemao-Pires, E.
name: Jaillais, Y.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: Metazoans and plants use pattern recognition receptors (PRRs) to sense conserved microbial-associated molecular patterns (MAMPs) in the extracellular environment. In plants, the bacterial MAMPs flagellin and elongation factor Tu (EF-Tu) activate distinct, phylogenetically related cell surface pattern recognition receptors of the leucine-rich repeat receptor kinase (LRR-RK) family called FLS2 and EF-Tu receptor, respectively. BAK1 is an LRR-RK coreceptor for both FLS2 and EF-Tu receptor. BAK1 is also a coreceptor for the plant brassinosteroid (BR) receptor, the LRR-RK BRI1. Binding of BR to BRI1 primarily promotes cell elongation. Here, we tune the BR pathway response to establish how plant cells can generate functionally different cellular outputs in response to MAMPs and pathogens. We demonstrate that BR can act antagonistically or synergistically with responses to MAMPs. We further show that the synergistic activities of BRs on MAMP responses require BAK1. Our results highlight the importance of plant steroid homeostasis as a critical step in the establishment of plant immunity. We propose that tradeoffs associated with plasticity in the face of infection are layered atop plant steroid developmental programs.
Mario Slugan and Daniël Biltereyst (eds.): New Perspectives on Early Cinema History: Concepts, Approaches, Audiences
Creators: name: Youngblood, Denise
Publisher: name: Apparatus. Film, Media and Digital Cultures of Central and Eastern Europe
Year: 2022

description: New Perspectives on Early Cinema History is a selection of papers originally presented at an international conference held in Ghent, Belgium in 2018, organised by this book’s editors: Mario Slugan, a lecturer in film studies at Queen Mary, University of London (and a former editor at Apparatus), and Daniël Biltereyst, a professor of film and media studies at Ghent University and director of its centre for film and media studies. The eleven essays – written mainly by European academics, plus two from Canada and one from Malaysia – provide an excellent overview of new trends.
description: Apparatus. Film, Media and Digital Cultures of Central and Eastern Europe, No. 15 (2022)
Caenorhabditis elegans POT-2 telomere protein represses a mode of alternative lengthening of telomeres with normal telomere lengths
Creators: name: Ahmed, S.
name: Brady, M. M.
name: Shtessel, L.
name: Cheng, C.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: Canonical telomere repeats at chromosome termini can be maintained by a telomerase-independent pathway termed alternative lengthening of telomeres (ALT). Human cancers that survive via ALT can exhibit long and heterogeneous telomeres, although many telomerase-negative tumors possess telomeres of normal length. Here, we report that Caenorhabditis elegans telomerase mutants that survived via ALT possessed either long or normal telomere lengths. Most ALT strains displayed end-to-end chromosome fusions, suggesting that critical telomere shortening occurred before or concomitant with ALT. ALT required the 9-1-1 DNA damage response complex and its clamp loader, HPR-17. Deficiency for the POT-2 telomere binding protein promoted ALT in telomerase mutants, overcame the requirement for the 9-1-1 complex in ALT, and promoted ALT with normal telomere lengths. We propose that telomerase-deficient human tumors with normal telomere lengths could represent a mode of ALT that is facilitated by telomere capping protein dysfunction.
A Defence of Moral Anti-Rationalism
Creators: name: Holden, Josef
Publisher: name: The Australian National University
Year: 2023

description: Morality can require us to make sacrifices. In extreme cases, it can demand that we sacrifice our happiness, our projects, our relationships and even our lives. In more mundane cases, it can forbid us from doing what we want to do. In either sort of case, we might ask: 'Why should I care about what morality demands? Why should I do what morality requires?' This thesis is a defence of moral anti-rationalism - the view that an agent can have sufficient reason, all things considered, to act immorally. I begin by setting the stage. Chapter One then discusses a particular kind of reason for action, which I call an excellence-based reason. Chapter Two and Chapter Three defend moral anti-rationalism. More specifically, I argue that both prudential reasons and excellence-based reasons can provide an agent with sufficient reason, all things considered, to act immorally. Chapter Two focuses on prudential reasons and Chapter Three focuses on excellence-based reasons. Chapter Four and Chapter Five respond to two arguments that have been given for moral rationalism - the view that, if an agent is morally required to perform an action, then they have decisive reason, all things considered, to perform that action. Chapter Four discusses what I call the blameworthiness defence of moral rationalism. Chapter Five concerns a claim that has motivated various philosophers to try to vindicate moral rationalism. This is that it would be bad if moral anti-rationalism were true, and that we have reason to hope that it is not. The arguments that I give in these chapters do not rely on my previous arguments for moral anti-rationalism. My aim is just to show that these particular arguments fail to vindicate moral rationalism.
Effects of interaction on field-induced resonances in confined Fermi liquid
Creators: name: Iqbal, A.
name: Khodas, M.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We consider the two-dimensional electron gas confined laterally to a narrow channel by a harmonic potential. As the Zeeman splitting matches the intersubband separation the nonlocal spin polarization develops a minimum as reported by Frolov et al. [Nature (London) 458, 868 (2009)]. This phenomenon termed Ballistic Spin Resonance is due to the degeneracy between the nearest oppositely polarized subbands that is lifted by spin-orbit coupling. We showed that the resonance survives the weak and short-range interaction. The latter detunes it and as a result shifts the Zeeman splitting at which the minimum in spin polarization occurs. Here this shift is attributed to the absence of Kohn theorem for the spin sloshing collective mode. We characterized the shift due to weak interaction qualitatively by analyzing the spin sloshing mode within the Fermi liquid phenomenology.
description: 13 pages, 11 figures
Toward Certification of Machine-Learning Systems for Low Criticality Airborne Applications
Creators: name: Dmitriev, K.
name: Schumann, J.
name: Holzapfel, F.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: The exceptional progress in the field of machine learning (ML) in recent years has attracted a lot of interest in using this technology in aviation. Possible airborne applications of ML include safety-critical functions, which must be developed in compliance with rigorous certification standards of the aviation industry. Current certification standards for the aviation industry were developed prior to the ML renaissance without taking specifics of ML technology into account. There are some fundamental incompatibilities between traditional design assurance approaches and certain aspects of ML-based systems. In this paper, we analyze the current airborne certification standards and show that all objectives of the standards can be achieved for a low-criticality ML-based system if certain assumptions about ML development workflow are applied.
Comparative oncogenomics identifies breast tumors enriched in functional tumor-initiating cells
Creators: name: Rosen, J. M.
name: Usary, J.
name: Zhao, W.
name: Edwards, D.
name: Zhang, M.
name: Murrow, G.
name: Medina, D.
name: Darr, D.
name: Hilsenbeck, S. G.
name: Troester, M. A.
name: Greene, S. B.
name: Knezevic, J.
name: Perou, C. M.
name: Herschkowitz, J. I.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: The claudin-low subtype is a recently identified rare molecular subtype of human breast cancer that expresses low levels of tight and adherens junction genes and shows high expression of epithelial-to-mesenchymal transition (EMT) genes. These tumors are enriched in gene expression signatures derived from human tumor-initiating cells (TICs) and human mammary stem cells. Through cross-species analysis, we discovered mouse mammary tumors that have similar gene expression characteristics as human claudin-low tumors and were also enriched for the human TIC signature. Such claudin-low tumors were similarly rare but came from a number of distinct mouse models, including the p53 null transplant model. Here we present a molecular characterization of 50 p53 null mammary tumors compared with other mouse models and human breast tumor subtypes. Similar to human tumors, the murine p53 null tumors fell into multiple molecular subtypes, including two basal-like, a luminal, a claudin-low, and a subtype unique to this model. The claudin-low tumors also showed high gene expression of EMT inducers, low expression of the miR-200 family, and low to absent expression of both claudin 3 and E-cadherin. These murine subtypes also contained distinct genomic DNA copy number changes, some of which are similarly altered in their cognate human subtype counterpart. Finally, limiting dilution transplantation revealed that p53 null claudin-low tumors are highly enriched for TICs compared with the more common adenocarcinomas arising in the same model, thus providing a unique preclinical mouse model to investigate the therapeutic response of TICs.
World Terrestrial Ecosystems
Creators: name: Sayre, Roger
Publisher: name: GEO Knowledge Hub
Year: 2022
Subjects: global ecosystems
terrestrial ecosystems
mapping ecosystems

description: The World Terrestrial Ecosystems (WTEs) datalayer, produced by the U.S. Geological Survey, Esri, and The Nature Conservancy, is a new map and associated raster geospatial data of globally comprehensive, standardized, high resolution (250 m), and data-derived World Terrestrial Ecosystems. The WTEs are land areas with distinct combinations of climate regime, landforms, and vegetation/land cover assemblages. 431 ecosystems were mapped. The approach taken to map the WTEs was an ecosystem structure-based mapping approach, including both abiotic structural elements (climate and landforms), and biotic structural elements (vegetation assemblages). Data were obtained to understand the global distribution of terrestrial ecosystems that were identified and mapped using a standardized, data-derived process, and to assess their representation in global protected areas.
Conditionally reprogrammed cells represent a stem-like state of adult epithelial cells
Creators: name: Schlegel, R.
name: Randell, S. H.
name: Kramer, S. C.
name: Kamonjoh, C. M.
name: Krawczyk, E.
name: Suprynowicz, F. A.
name: Hebert, J. D.
name: Boucher, R. C.
name: Upadhyay, G.
name: Yuan, H.
name: Cheluvaraju, C.
name: Liu, X.
name: Clapp, P. W.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: The combination of irradiated fibroblast feeder cells and Rho kinase inhibitor, Y-27632, conditionally induces an indefinite proliferative state in primary mammalian epithelial cells. These conditionally reprogrammed cells (CRCs) are karyotype-stable and nontumorigenic. Because self-renewal is a recognized property of stem cells, we investigated whether Y-27632 and feeder cells induced a stem-like phenotype. We found that CRCs share characteristics of adult stem cells and exhibit up-regulated expression of α6 and β1 integrins, ΔNp63α, CD44, and telomerase reverse transcriptase, as well as decreased Notch signaling and an increased level of nuclear β-catenin. The induction of CRCs is rapid (occurs within 2 d) and results from reprogramming of the entire cell population rather than the selection of a minor subpopulation. CRCs do not overexpress the transcription factor sets characteristic of embryonic or induced pluripotent stem cells (e.g., Sox2, Oct4, Nanog, or Klf4). The induction of CRCs is also reversible, and removal of Y-27632 and feeders allows the cells to differentiate normally. Thus, when CRCs from ectocervical epithelium or tracheal epithelium are placed in an air–liquid interface culture system, the cervical cells form a well differentiated stratified squamous epithelium, whereas the tracheal cells form a ciliated airway epithelium. We discuss the diagnostic and therapeutic opportunities afforded by a method that can generate adult stem-like cells in vitro without genetic manipulation.
Magyar Eupithecia tanulmányok (l.): Eupithecia sinuosaria (Eversmann, 1848), E. unedonata Mabille, 1868, E. expallidata Doubleday, 1856 Hungarian Eupithecia studies (No. 1): Eupithecia sinuosaria (Eversmann, 1848), E. unedonata Mabille, 1868, E. expallidata Doubleday, 1856, (Lepidoptera: Geometridae)
Creators: name: Fazekas, Imre
Publisher: name: Zenodo
Year: 2012

description: Data are reported on the geographical distribution of Eupithecia sinuosaria (Eversmann, 1848) and E. expallidata Doubleday,
1856 in Hungary. Specimens previously recorded in Hungary as Eupithecia unedonata (Mabille, 1868) were misidentified, and
refer to Eupithecia ochridata Schütze & Pinker, 1968. Therefore, Eupithecia unedonata must be removed from the fauna list of Hungary.
Structure of genitalia and morphological characteristics of wings are illustrated by figures. The habitats and the Hungarian
distribution of the three species is described. With 5 figures.
Supercontinuum generation and carrier envelope offset frequency measurement in a tapered single-mode fiber
Creators: name: Zhang, Long
name: Han, Hainian
name: Zhao, Yanying
name: Hou, Lei
name: Yu, Zijiao
name: Wei, Zhiyi
Publisher: name: arXiv
Year: 2014
Subjects: subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: We report supercontinuum generation by launching femtosecond Yb fiber laser pulses into a tapered single-mode fiber of 3 um core diameter. A spectrum of more than one octave, from 550 to 1400 nm, has been obtained with an output power of 1.3 W at a repetition rate of 250 MHz, corresponding to a coupling efficiency of up to 60%. By using a typical f-2f interferometer, the carrier envelope offset frequency was measured and found to have a signal-to-noise ratio of nearly 30 dB.
description: 10 pages, accepted by Appl Phys B
Feature Sets in Just-in-Time Defect Prediction: An Empirical Evaluation
Creators: name: Bludau, Peter
name: Pretschner, Alexander
Publisher: name: arXiv
Year: 2022
Subjects: subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: Just-in-time defect prediction assigns a defect risk to each new change to a software repository in order to prioritize review and testing efforts. Over the last decades different approaches were proposed in literature to craft more accurate prediction models. However, defect prediction is still not widely used in industry, due to predictions with varying performance. In this study, we evaluate existing features on six open-source projects and propose two new features sets, not yet discussed in literature. By combining all feature sets, we improve MCC by on average 21%, leading to the best performing models when compared to state-of-the-art approaches. We also evaluate effort-awareness and find that on average 14% more defects can be identified, inspecting 20% of changed lines.
description: 10 pages, 3 figures, accepted at the 18th edition of the International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE'22)
title: Research data management practices at Universities of Applied Sciences in Germany
title: Evidence from a nationwide mixed methods study
titleType: Subtitle
Creators: name: Werth, Robert
name: Balic, Arnela
Publisher: name: Zenodo
Year: 2023
Subjects: EVER_FDM
research data management
survey
data management plan
repository
research practices
good scientific practice

description: The presentation highlights the main findings of the study "Development and Dissemination of Research Data Management at Universities of Applied Sciences" (EVER_FDM), with special regard to the needs of the researchers. Thus, it will be particularly beneficial for people working in the universities' administration and other professionals in the RDM support. They will also be offered an evaluation of promising measures to support the change in research culture and practice towards more open and reusable sharing of research data. From the results, it will become clear that awareness of RDM is still low amongst researchers at Universities of Applied Sciences in Germany.
Spectroscopic observations and space photometry of TIC 171084337, TIC 373414766 and TIC 450104319
Creators: name: Fox Machado, Lester
Publisher: name: Zenodo
Year: 2024

description: The study of short-period binaries is essential for understanding the complex processes governing stellar evolution in tightly bound systems. In particular, near-contact binaries (NCBs) play a crucial role in our understanding of the formation and evolution of binary systems. Defined by Show in 1990, NCBs represent a specific subclass of close binaries where both components either fill or nearly fill their respective Roche lobes, leading to substantial proximity effects similar to those observed in W UMa-type systems, albeit without direct contact. These binaries exhibit strong tidal interaction and show EB-type light curve variations with asymmetrical profiles. Additionally, they often experience a decrease in the orbital period, likely due to mass transfer or angular momentum loss via magnetic braking. To fully understand all these behaviors, comprehensive photometric and spectroscopic analyses are essential. In this poster, we present preliminary results of the ground-based spectroscopic follow-up observations of three short-period binaries identified by the TESS satellite.
openCost: Transparenz von Publikationskosten durch neue Funktionen in der Elektronischen Zeitschriftenbibliothek (EZB)
Creators: name: Sippl, Colin
Publisher: name: Zenodo
Year: 2023
Subjects: openCost
Elektronische Zeitschriftenbibliothek
EZB
OpenAPC
Kostentransparenz
Publikationskosten
Transformationsverträge
Informationsbudget

description: Die EZB wird im Rahmen des openCost-Projekts (DFG-Projektnr. 457354095) um neue Funktionen, Daten und Informationen zu Publikationskosten erweitert. Diese Neuerungen beziehen sowohl EZB-Daten als auch externe Informationen ein. Ziel ist es, den EZB-Nutzern sowohl einrichtungsunabhängige als auch einrichtungsspezifische Informationen zur Übernahme von Publikationskosten bereitzustellen und ferner mehr Kostentransparenz zu schaffen. Hierzu werden Zeitschriften in der EZB um weitere Informationen angereichert und mit neuen Kategorien ausgezeichnet. Beispiele hierfür sind "Indexed in DOAJ" oder „Mirror Journal“, wobei dazu etablierte Quellen, etwa die Titelliste der Mirror Journal Working Group oder das DOAJ nachgenutzt werden. Zeitschriftenkategorien, für die es hingegen keine Datenquelle gibt, werden in der EZB manuell vergeben und dann zur Nachnutzung bereitgestellt, wie z.B. „Subscribe to Open-Journals“.
 Neben der Auszeichnung von Zeitschriften werden in der EZB zentral gepflegte Titellisten, sogenannte EZB-Kollektionen, die Teil eines Transformationsvertrags sind, gekennzeichnet und mit der zugehörigen ESAC-ID verknüpft. Ferner sollen zu einem späteren Zeitpunkt für ausgewählte Pilotbibliotheken Kosteninformationen aus OpenAPC abgerufen und in die EZB-Benutzeroberfläche eingebunden werden. Dadurch erhalten die Nutzer Kosteninformationen zu einer Zeitschrift, wie etwa die durchschnittlichen APCs einer Zeitschrift als zusätzliche Information in der EZB-Detailseite.
 Schließlich soll für EZB-Einrichtungen eine Eingabemöglichkeit geschaffen werden, um individuelle Vereinbarungen mit Verlagen, wie z.B. Mitgliedschaften, zu hinterlegen. Diese Informationen sollen in der EZB einrichtungsspezifisch für die einzelnen Zeitschriften angezeigt und zur weiteren Nutzung bereitgestellt werden.
Synchrotron X-ray emission from old pulsars
Creators: name: Kisaka, Shota
name: Tanaka, Shuta J.
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: We study the synchrotron radiation as the observed non-thermal X-ray emission from old pulsars ($\gtrsim1-10$Myr) to investigate the particle acceleration in their magnetospheres. We assume that the power-law component of the observed X-ray spectra is caused by the synchrotron radiation from electrons and positrons in the magnetosphere. We consider two pair production mechanisms of X-ray emitting particles, the magnetic and the photon-photon pair productions. High-energy photons, which ignite the pair production, are emitted via the curvature radiation of the accelerated particles. We use the analytical description for the radiative transfer and estimate the luminosity of the synchrotron radiation. We find that for pulsars with the spin-down luminosity $L_{\rm sd}\lesssim10^{33}$ erg s$^{-1}$, the locations of the particle acceleration and the non-thermal X-ray emission are within $\lesssim10^7$cm from the centre of the neutron star, where the magnetic pair production occurs. For pulsars with the spin-down luminosity $L_{\rm sd}\lesssim10^{31}$ erg s$^{-1}$ such as J0108-1431, the synchrotron radiation is difficult to explain the observed non-thermal component even if we consider the existence of the strong and small-scale surface magnetic field structures.
description: 25 pages, 7 figures, 2 tables, accepted for publication in MNRAS
Haplós: Vibrotactile Somaesthetic Technology for Body Awareness (Poster)
Creators: name: Maranan, Diego S.
name: Grant, Jane
name: Matthias, John
name: Phillips, Mike
name: Denham, Susan L.
Publisher: name: Zenodo
Year: 2020

description: Inspired by somatic methodologies and neurophysiology, Haplos is a low-cost, wearable technology that applies vibrotactile patterns to the skin, can be incorporated in existing clothing and implements, and can be programmed and activated remotely. We review existing vibrotactile technologies and known uses of vibrotactile stimuli; describe the hardware, textile, and software components of Haplos; describe results from a quasi-experimental workshop to evaluate Haplos; and discuss future research and development directions. To view the conference paper on which this poster is based, please see 10.1145/3374920.3374984. To view the PhD thesis on which this research is based, please see http://hdl.handle.net/10026.1/10170
Visualizing the Scripts of Data Wrangling with SOMNUS
Creators: name: Xiong, Kai
name: Fu, Siwei
name: Ding, Guoming
name: Luo, Zhongsu
name: Yu, Rong
name: Chen, Wei
name: Bao, Hujun
name: Wu, Yingcai
Publisher: name: arXiv
Year: 2022
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences

description: Data workers use various scripting languages for data transformation, such as SAS, R, and Python. However, understanding intricate code pieces requires advanced programming skills, which hinders data workers from grasping the idea of data transformation at ease. Program visualization is beneficial for debugging and education and has the potential to illustrate transformations intuitively and interactively. In this paper, we explore visualization design for demonstrating the semantics of code pieces in the context of data transformation. First, to depict individual data transformations, we structure a design space by two primary dimensions, i.e., key parameters to encode and possible visual channels to be mapped. Then, we derive a collection of 23 glyphs that visualize the semantics of transformations. Next, we design a pipeline, named Somnus, that provides an overview of the creation and evolution of data tables using a provenance graph. At the same time, it allows detailed investigation of individual transformations. User feedback on Somnus is positive. Our study participants achieved better accuracy with less time using Somnus, and preferred it over carefully-crafted textual description. Further, we provide two example applications to demonstrate the utility and versatility of Somnus.
Open Data Cube - Water Mapping
Creators: name: CEOS SEO/AMA
Publisher: name: GEO Knowledge Hub
Year: 2022

description: Water Mapping using WOfS
WOfS is an automated water mapping algorithm created by Geoscience Australia. Surface water is detected in satellite images and for each location, the number of occurrences is summed through time. The result is a percentage value of the number of times water was observed at the location.
The coloring of the summary layer indicates how often water was observed. Possible floods appear in the low values (red to yellow colours), while consistent water bodies such as lakes and dams have high values (blue to purple colours).
For more information, please, check the DEA Water Observations website.
Open Data Cube sandbox
You can execute this notebook in the Open Data Cube Sandbox. You can also run on your software promise environment.

Open in Open Data Cube Sandbox;
Get the code on GitHub.
For more information about the Open Data Cube Sandbox, please, check this link.
Inflation with Fayet-Iliopoulos Terms
Creators: name: Wieck, Clemens
name: Winkler, Martin Wolfgang
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Two of the most attractive realizations of inflation in supergravity are based upon the presence of a constant Fayet-Iliopoulos (FI) term. In D-term hybrid inflation it is the FI term itself which sets the energy scale of inflation. Alternatively, the breaking of a U(1) symmetry induced by the FI term can dynamically generate the quadratic potential of chaotic inflation. The purpose of this note is to study the possible UV embedding of these schemes in terms of the `field-dependent FI term' related to a string modulus field which is stabilized by a non-perturbative superpotential. We find that in settings where the FI term drives inflation, gauge invariance prevents a decoupling of the modulus from the inflationary dynamics. The resulting inflation models generically contain additional dynamical degrees of freedom compared to D-term hybrid inflation. However, the dynamical realization of chaotic inflation can be obtained in complete analogy to the case of a constant FI term. We present a simple string-inspired toy model of this type.
description: 20 pages, accepted for publication in PRD
Lisa Parks and Nicole Starosielski (eds.), Signal Traffic: Critical Studies of Media Infrastructures, University of Illinois Press, 2015
Creators: name: Magaudda, Paolo
Publisher: name: Tecnoscienza – Italian Journal of Science & Technology Studies
Year: 2016

description: Tecnoscienza – Italian Journal of Science & Technology Studies, Vol. 6 No. 2 (2015): Tecnoscienza Nr. 12
Enhancing the knowledge management in societally sensitive domains with Generative AI
Creators: name: Havlik, Denis
name: Chettakattu, Aradina
Publisher: name: DSC Dach
Year: 2024
Subjects: subject: Generative AI
subject: Crisis management
subject: Climate Change
subject: Knowledge management
subject: Knowledge extraction
subject: Ethics
subject: Responsible AI

description: Generative AI models can greatly enhance the knowledge management, by automatising the process of knowledge discovery, extraction, organisation and sharing. In the best-case scenario, the GPT based tools will help us to make better sense of the ever-growing piles of data and enhance the decision making at all levels – from short-term and personal decisions to long-term strategic planning. In the worst case, the Generative AI tools could, however, add a fuel to heated discussions on societally sensitive topics, by misinforming the service users. Careless application of this technology in crisis and disaster management and related domains, such as climate change adaptation and mitigation, resilient and sustainable development can lead to expensive and potentially disastrous decisions at all levels of responsibility and further aggravate already alarming loss of trust in authorities. This talk will discuss (1) the underlying reasons why Generative AI technology cannot and shouldn’t be blindly used as a knowledge base, (2) commonly used methods for minimising the underlying risks and enhancing the usability of generative AI in knowledge management applications, and (3) real world experiences of the author with use of generative AI models in extraction and synthesis of data in the climate change adaptation and mitigation domain.
description: These slides have been presented on DSC Dach  2024 conference in Vienna, September 11th-13th 2024. Full video of the presentation shall be published on https://www.youtube.com/@datascienceconference
CTR1 phosphorylates the central regulator EIN2 to control ethylene hormone signaling from the ER membrane to the nucleus in Arabidopsis
Creators: name: Cooper, B.
name: Groth, G.
name: Kieber, J. J.
name: Kessenbrock, M.
name: Lin, D. Y.
name: Chang, C.
name: Yoon, G. M.
name: Ju, C.
name: Tucker, M. L.
name: Ying, Z. I.
name: Shemansky, J. M.
name: Garrett, W. M.
name: Chang, J.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: The gaseous phytohormone ethylene C2H4 mediates numerous aspects of growth and development. Genetic analysis has identified a number of critical elements in ethylene signaling, but how these elements interact biochemically to transduce the signal from the ethylene receptor complex at the endoplasmic reticulum (ER) membrane to transcription factors in the nucleus is unknown. To close this gap in our understanding of the ethylene signaling pathway, the challenge has been to identify the target of the CONSTITUTIVE TRIPLE RESPONSE1 (CTR1) Raf-like protein kinase, as well as the molecular events surrounding ETHYLENE-INSENSITIVE2 (EIN2), an ER membrane-localized Nramp homolog that positively regulates ethylene responses. Here we demonstrate that CTR1 interacts with and directly phosphorylates the cytosolic C-terminal domain of EIN2. Mutations that block the EIN2 phosphorylation sites result in constitutive nuclear localization of the EIN2 C terminus, concomitant with constitutive activation of ethylene responses in Arabidopsis. Our results suggest that phosphorylation of EIN2 by CTR1 prevents EIN2 from signaling in the absence of ethylene, whereas inhibition of CTR1 upon ethylene perception is a signal for cleavage and nuclear localization of the EIN2 C terminus, allowing the ethylene signal to reach the downstream transcription factors. These findings significantly advance our understanding of the mechanisms underlying ethylene signal transduction.
title: Impacts of climate change on human health
Creators: name: Baker-Austin, Craig
name: Campos, Carlos J.A.
name: Turner, Andrew
name: Higman, Wendy A.
name: Lees, David
Publisher: name: Marine Climate Change Impacts Partnership (MCCIP), Lowestoft, UK
Year: 2013

description: MCCIP Science Review 2013, 257-262