cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Supplementary Material for: White Matter Changes May Precede Gray Matter Loss in Elderly with Subjective Memory Impairment
Creators: name: Hong, Y.J.
name: Kim, C.-M.
name: Jang, E.H.
name: Hwang, J.
name: Roh, J.H.
name: Lee, J.-H.
Publisher: name: Karger Publishers
Year: 2016
Subjects: Medicine

description: Background/Aims: A limited number of studies addressed MRI-based neurodegenerative changes in subjective memory impairment (SMI). We investigated changes in white matter (WM) microstructures as well as gray matter (GM) macrostructures in subjects with SMI of high and low risk for progression. Methods: A modeling scale (score range, 0-6) developed for prediction of SMI progression was used to divide SMI subjects (n = 46) into two groups: a high risk of progression (score ≥3; n = 19) and a low risk of progression (score ≤2; n = 27). Cross-sectional comparisons were performed using a region-of-interest-based diffusion tensor imaging (DTI) analysis, cortical thickness analysis, and hippocampal volumetry. Results: The high-risk group had more microstructural disruption shown by lower fractional anisotropy in the hippocampus, parahippocampal gyrus, supramarginal gyrus, and parts of frontotemporal lobes. On the other hand, GM macrostructural changes did not differ between the groups and were not associated with modeling scale scores. Conclusion: SMI subjects with a high risk of progression had more WM microstructural disruption than those with a low risk, and the changes were not explained by GM atrophy. Our findings suggest that the degree of microstructural alterations in SMI may be distinctive according to the risk factors and may precede GM atrophy.
The relationship between spoken English proficiency and participation in higher education, employment and income from two Australian censuses
Creators: name: Blake, Helen L.
name: Sharynne Mcleod
name: Verdon, Sarah
name: Fuller, Gail
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Medicine
subject: Neuroscience
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Cancer
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Purpose: Proficiency in the language of the country of residence has implications for an individual’s level of education, employability, income and social integration. This paper explores the relationship between the spoken English proficiency of residents of Australia on census day and their educational level, employment and income to provide insight into multilingual speakers’ ability to participate in Australia as an English-dominant society. Method: Data presented are derived from two Australian censuses i.e. 2006 and 2011 of over 19 million people. Result: The proportion of Australians who reported speaking a language other than English at home was 21.5% in the 2006 census and 23.2% in the 2011 census. Multilingual speakers who also spoke English very well were more likely to have post-graduate qualifications, full-time employment and high income than monolingual English-speaking Australians. However, multilingual speakers who reported speaking English not well were much less likely to have post-graduate qualifications or full-time employment than monolingual English-speaking Australians. Conclusion: These findings provide insight into the socioeconomic and educational profiles of multilingual speakers, which will inform the understanding of people such as speech-language pathologists who provide them with support. The results indicate spoken English proficiency may impact participation in Australian society. These findings challenge the “monolingual mindset” by demonstrating that outcomes for multilingual speakers in education, employment and income are higher than for monolingual speakers.
Comparison between compactly-supported spherical radial basis functions and interpolating moving least squares meshless interpolants for gravity data interpolation in geodesy and geophysics
Creators: name: Kiani Shahvandi, Mostafa
Publisher: name: ETH Zurich
Year: 2020
Subjects: Compactly-supported spherical radial basis functions
Interpolating moving least squares,
Known points
Interpolation points

description: The present paper is focused on the comparison of the efficiency of two important meshless interpolants for gravity acceleration interpolation. Compactly-supported spherical radial basis functions and interpolating moving least squares are used to interpolate actual gravity accelerations in southern Africa. Interpolated values are compared with actual values, gathered by observation. A thorough analysis is presented for the standard deviation of the differences between interpolated and actual values. Three different class of spherical radial basis functions-Poisson, singularity, and logarithmic-and four different type of basis functions for interpolating moving least squares approach-planar, quadratic, cubic, and spherical harmonics-are used. It is shown that in this particular problem compactly-supported spherical radial basis functions are faster and capable of achieving higher accuracies, compared to interpolating moving least squares scheme.
description: arXiv
Online Simple Knapsack with Reservation Costs
Creators: name: Böckenhauer, Hans-Joachim
name: Burjons, Elisabet
name: Hromkovič, Juraj
name: Lotze, Henri
name: Rossmanith, Peter
Publisher: name: ETH Zurich
Year: 2020
Subjects: Online problem
Simple knapsack
Reservation costs

description: In the Online Simple Knapsack Problem we are given a knapsack of unit size 1. Items of size smaller or equal to 1 are presented in an iterative way and an algorithm has to decide whether to permanently include or reject each item into the knapsack without any knowledge about the rest of the instance. The goal is then to pack the knapsack as full as possible. In this work we introduce a third option additional to those of packing and rejecting an item, namely that of reserving an item for the cost of a fixed fraction $\alpha$ of its size. An algorithm may pay this fraction in order to postpone its decision on whether to include or reject the item until after the last item of the instance was presented. We find that adding the possibility of reservation makes the problem constantly competitive with varying competitive ratios depending on the value of $\alpha$. We give upper and lower bounds for the whole range of reservation costs, with tight bounds for costs up to $1/6$ -- an area that is strictly 2-competitive, for costs between $\sqrt{2}-1$ and $1$ -- an area that is strictly $ (2+\alpha)$-competitive up to $\phi -1$, and strictly $1/(1-\alpha)$-competitive above $\phi-1$, where $\phi$ is the golden ratio. We find a counterintuitive characteristic of the problem: Intuitively, one may expect that the possibility of rejecting items becomes more helpful for an online algorithm with growing reservation costs. However, for higher reservation costs above $\sqrt{2}-1$, an algorithm that is unable to reject any items tightly matches the lower bound and is thus the best possible. On the other hand, for any positive reservation cost smaller than $1/6$, any algorithm that is unable to reject items performs considerably worse than one that is able to reject.
description: arXiv
Online Appendix for "CJEU Judgments in the News – Capturing the Public Salience of Decisions of the EU’s Highest Court"
Creators: name: Dederke, Julian
Publisher: name: ETH Zurich
Year: 2021

description: This is the online Appendix for the paper "CJEU Judgments in the News – Capturing the Public Salience of Decisions of the EU’s Highest Court"
A tool for assessing case history and feedback skills in audiology students working with simulated patients
Creators: name: Hughes, Jane
name: Wilson, Wayne J.
name: MacBean, Naomi
name: Hill, Anne E.
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Medicine
subject: Neuroscience
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Science Policy
subject: Hematology
subject: Computational Biology

description: Objective: To develop a tool for assessing audiology students taking a case history and giving feedback with simulated patients (SP). Design: Single observation, single group design. Study sample: Twenty-four first-year audiology students, five simulated patients, two clinical educators, and three evaluators. Results: The Audiology Simulated Patient Interview Rating Scale (ASPIRS) was developed consisting of six items assessing specific clinical skills, non-verbal communication, verbal communication, interpersonal skills, interviewing skills, and professional practice skills. These items are applied once for taking a case history and again for giving feedback. The ASPIRS showed very high internal consistency (α = 0.91–0.97; mean inter-item r = 0.64–0.85) and fair-to-moderate agreement between evaluators (29.2–54.2% exact and 79.2–100% near agreement; κweighted up to 0.60). It also showed fair-to-moderate absolute agreement amongst evaluators for single evaluator scores (intraclass correlation coefficient [ICC] r = 0.35–0.59) and substantial consistency of agreement amongst evaluators for three-evaluator averaged scores (ICC r = 0.62–0.81). Factor analysis showed the ASPIRS’ 12 items fell into two components, one containing all feedback items and one containing all case history items. Conclusion: The ASPIRS shows promise as the first published tool for assessing audiology students taking a case history and giving feedback with an SP.
title: 5. Chant intitulé Gugayé en mode därbaba par Adisé Mändäfro
Creators: name: Wion, Anaïs
name: Bolay, Anne
Publisher: name: COCOON - https://cocoon.huma-num.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020

description: Le chanteur fournit une information assez rare pour cette chanson qui est celle de sa créatrice : une femme qui s’appelait Gugayé et était originaire de la région de Habru. Cette chanson a pris son nom : Gugayé. Elle se joue selon le mode därbäbba.
Provision, perception and use of trainable hearing aids in Australia: a survey of clinicians and hearing impaired adults
Creators: name: Walravens, Els
name: Keidser, Gitte
name: Hickson, Louise
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Biophysics
subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Molecular Biology
subject: Neuroscience
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Objective: This study set out to obtain information on the impact of trainable hearing aids among clinicians and hearing aid users and candidates. Design: Two online adaptive surveys were developed to evaluate provision, uptake and experience or expectation of trainable hearing aids. Study sample: Responses from 259 clinicians, 81 hearing aid users and 23 candidates for hearing aids were included. Results: Over half of the clinicians surveyed activated trainable features in hearing aids. Most of these clinicians activated trainable features for selected users and reported positive findings. Most commonly trainable features were not activated because the hearing aid controls had already been disabled for management or client preference. One-third reported that they had no access to trainable aids or they were unsure about the presence or activation of trainable features. The remaining clinicians never activated trainable features. One in five users reported having used trainable aids and 93% would train again. Over 85% of the remaining hearing-impaired adults were interested in trainable aids. Conclusions: Positive reports from most providers and users who had experience with the trainable feature support the provision of trainable aids to selected clients, pending more evidence-based data to support the clinical management of such devices.
A specifically designed machine learning algorithm for GNSS position time series prediction and its applications in outlier and anomaly detection and earthquake prediction
Creators: name: Kiani Shahvandi, Mostafa
Publisher: name: ETH Zurich
Year: 2020
Subjects: GNSS position time series
Machine learning
Training data
Prediction accuracy
Anomaly and outlier detection
Earthquake prediction

description: We present a simple yet efficient supervised machine learning algorithm that is designed for the GNSS position time series prediction. This algorithm has four steps. First, the mean value of the time series is subtracted from it. Second, the trends in the time series are removed. Third, wavelets are used to separate the high and low frequencies. And fourth, a number of frequencies are derived and used for finding the weights between the hidden and the output layers, using the product of the identity and sine and cosine functions. The role of the observation precision is taken into account in this algorithm. A large-scale study of three thousand position times series of GNSS stations across the globe is presented. Seventeen different machine learning algorithms are examined. The accuracy levels of these algorithms are checked against the rigorous statistical method of Theta. It is shown that the most accurate machine learning algorithm is the method we present, in addition to being faster. Two applications of the algorithm are presented. In the first application, it is shown that the outliers and anomalies in a time series can be detected and removed by the proposed algorithm. In a large scale study, ten other methods of time series outlier detection are compared with the proposed algorithm. The study reveals that the proposed algorithm is approximately 3.22 percent more accurate in detecting outliers. In the second application, the suitability of the algorithm for earthquake prediction is investigated. A case study is presented for the Tohoku 2011 earthquake. It is shown that this earthquake could have been predicted approximately 2 hours before its happening, solely based on each of the 845 GEONET station time series. Comparison with four different studies show the improvement in prediction of the time of the earthquake.
description: arXiv
A precise machine learning aided algorithm for land subsidence or upheave prediction from GNSS time series
Creators: name: Kiani Shahvandi, Mostafa
Publisher: name: ETH Zurich
Year: 2020
Subjects: GNSS position time series
Machine learning
Training data
Prediction accuracy
Land subsidence or upheave

description: This paper is aimed at the problem of predicting the land subsidence or upheave in an area, using GNSS position time series. Since machine learning algorithms have presented themselves as strong prediction tools in different fields of science, we employ them to predict the next values of the GNSS position time series. For this reason, we present an algorithm that takes advantage of the machine learning algorithms for the prediction of positions in a GNSS time series. The proposed algorithm has two steps-preprocessing and prediction. In the preprocessing phase, the periodic tidal and atmospheric signals in the time series are removed and coordinates are transferred to the local coordinate system. In the prediction phase, eight different machine learning algorithms are used, namely, multilayer perceptron, Bayesian neural network, radial basis functions, Gaussian processes, k-nearest neighbor, generalized regression neural network, classification and regression trees, and support vector regression. We show the superiority of the Gaussian processes algorithm, compared to other methods, in 14 different real GNSS time series studies. The proposed algorithm can achieve up to 4 millimeters in accuracy, with the average accuracy as 2 centimeters across all time series.
description: arXiv
Lateral land movement prediction from GNSS position time series in a machine learning aided algorithm
Creators: name: Kiani Shahvandi, Mostafa
Publisher: name: ETH Zurich
Year: 2020
Subjects: GNSS position time series
Machine learning
Lateral land movement prediction

description: We investigate the accuracy of conventional machine learning aided algorithms for the prediction of lateral land movement in an area using the precise position time series of permanent GNSS stations. The machine learning algorithms that are used are tantamount to the ones used in [1], except for the radial basis functions, i.e. multilayer perceptron, Bayesian neural network, Gaussian processes, k-nearest neighbor, generalized regression neural network, classification and regression trees, and support vector regression. A comparative analysis is presented in which the accuracy level of the mentioned machine learning methods is checked against each other. It is shown that the most accurate method for both of the components of the time series is the Gaussian processes, achieving up to 9.5 centimeters in accuracy.
description: arXiv
Possibility of Land Movement Prediction for Creep or before Earthquake Using Lidar Geodetic Data in a Machine Learning Scheme
Creators: name: Kiani Shahvandi, Mostafa
Publisher: name: ETH Zurich
Year: 2020
Subjects: Earthquake prediction
Lidar
Geodetic data
Machine learning

description: Earthquake prediction is one of the most pursued problems in geoscience. Different geological and seismological approaches exist for the prediction of the earthquake and its subsequent land change. However, in many cases, they fail in their mission. In this paper, we address the well-established earthquake prediction problem by a novel approach. We use a four-dimensional location-time machine learning scheme to estimate the time of earthquake and its land change. We present a study for the Ridgecrest, California 2019 earthquake prediction. We show the accuracy of our method is around 14 centimeters for the land change, and around 2 days for the time of the earthquake, predicted from data more than 3 years before the earthquake.
description: arXiv
Global models for short-term earthquake forecasting and predictive skill assessment
Creators: name: Nandan, Shyam
name: Kamer, Yavor
name: Ouillon, Guy
name: Hiemer, Stefan
name: Sornette, Didier
Publisher: name: ETH Zurich
Year: 2020
Subjects: ETAS models
Magnitude dependent Omori law
Multifractal stress activation
Global earthquake forecasts
Consistency
RichterX

description: We present rigorous tests of global short-term earthquake forecasts using Epidemic Type Aftershock Sequence models with two different time kernels (one with exponentially tapered Omori kernel (ETOK) and another with linear magnitude dependent Omori kernel (MDOK)). The tests are conducted with three different magnitude cutoffs for the auxiliary catalog (M3, M4 or M5) and two different magnitude cutoffs for the primary catalog (M5 or M6), in 30 day long pseudo prospective experiments designed to forecast worldwide M ≥ 5 and M ≥ 6 earthquakes during the period from January 1981 to October 2019. MDOK ETAS models perform significantly better relative to ETOK ETAS models. The superiority of MDOK ETAS models adds further support to the multifractal stress activation model proposed by Ouillon and Sornette (2005). We find a significant improvement of forecasting skills by lowering the auxiliary catalog magnitude cutoff from 5 to 4. We unearth evidence for a self-similarity of the triggering process as models trained on lower magnitude events have the same forecasting skills as models trained on higher magnitude earthquakes. Expressing our forecasts in terms of the full distribution of earthquake rates at different spatial resolutions, we present tests for the consistency of our model, which is often found satisfactory but also points to a number of potential improvements, such as incorporating anisotropic spatial kernels, and accounting for spatial and depth dependant variations of the ETAS parameters. The model has been implemented as a reference model on the global earthquake prediction platform RichterX, facilitating predictive skill assessment and allowing anyone to review its prospective performance.
description: EarthArXiv
Formulation And Evaluation of Polyherbal Anti-Dandruff Shampoo
Creators: name: Mr. Gudisi Rama Krishna
name: Dr. Konathala Rajesh
name: Mr. Damu Uma Sankar
name: Ms.  Koppala Bhavani
name: Mr. Mallapureddi Venu Babu
name: Ms. Kondabattula Hema Sri
name: Ms. Marrapu Divya Sri
name: Mr. Manchipalli Jeswanth
name: Ms. Kosuru Lakshmi Gayatri
name: Mrs. Yamalapalli Ramadevi
name: Ms. Mariserla Kavitha
name: Ms. Kota Kavya
name: Ms. Mogidi Urimla
name: Mr. Kottisa Hima Kiran
name: Mr. Kuna Akash
name: Ms. Monduri Jyothsna Sruthi
Publisher: name: Institute for Interdisciplinary and Venture Publication
Year: 2025
Subjects: Anti-dandruff
Leukemia
Natural Products

description: This abstract presents a novel poly-herbal anti-dandruff shampoo that harnesses the synergistic effects of a blend of botanicals to effectively manage dandruff and related scalp conditions. The shampoo formulation combines the anti-bacterial, anti-fungal and anti-inflammatory properties of Golden shower tree (cassia fistula) Anti-dandruff and moisturizing properties of chakramarda (cassia tora), the antimicrobial and antifungal properties of Neem (Azadirachta indica), and the soothing and emollient properties of Aloe Vera (Aloe barbadensis). The presence of Turmeric (Curcuma longa) and Ginger (Zingiber officinale) adds to the shampoo's anti-inflammatory and antioxidant potential. The unique blend of herbs is combined with a mild surfactant system and moisturizing ingredients to create a gentle and non-irritating shampoo that effectively cleanses and nourishes the scalp. The poly-herbal anti-dandruff shampoo has been shown to reduce dandruff symptoms, including flaking, itching, and redness, while promoting a healthy scalp environment. The formula is free from harsh chemicals, artificial fragrances, and dyes, making it suitable for use on sensitive scalps and skin types. The poly-herbal anti-dandruff shampoo offers a natural and effective solution for individuals seeking a gentle and nourishing treatment for dandruff and related scalp conditions.
Using Genome Graph Topology to Guide Annotation Matrix Sparsification
Creators: name: Danciu, Daniel
name: Karasikov, Mikhail
name: Mustafa, Harun
name: Kahles, André
name: Rätsch, Gunnar
Publisher: name: ETH Zurich
Year: 2020

description: Since the amount of published biological sequencing data is growing exponentially, efficient methods for storing and indexing this data are more needed than ever to truly benefit from this invaluable resource for biomedical research. Labeled de Bruijn graphs are a frequently-used approach for representing large sets of sequencing data. While significant progress has been made to succinctly represent the graph itself, efficient methods for storing labels on such graphs are still rapidly evolving. In this paper, we present RowDiff, a new technique for compacting graph labels by leveraging expected similarities in annotations of nodes adjacent in the graph. RowDiff can be constructed in linear time relative to the number of nodes and labels in the graph, and the construction can be efficiently parallelized and distributed, significantly reducing construction time. RowDiff can be viewed as an intermediary sparsification step of the initial annotation matrix and can thus naturally be combined with existing generic schemes for compressed binary matrix representation. Our experiments on the Fungi subset of the RefSeq collection show that applying RowDiff sparsification reduces the size of individual annotation columns stored as compressed bit vectors by an average factor of 42. When combining RowDiff with a Multi-BRWT representation, the resulting annotation is 26 times smaller than Mantis-MST, the previously known smallest annotation representation. In addition, experiments on 10,000 RNA-seq datasets show that RowDiff combined with Multi-BRWT results in a 30% reduction in annotation footprint over Mantis-MST.
description: bioRxiv
Codebuch - Projekt "Desinformationsverhalten Verstehen"
Creators: name: Stiller, Juliane
name: Trkulja, Violeta
Publisher: name: Zenodo
Year: 2025
Subjects: health information behavior
false health information
misinformation
disinformation
information sharing
qualitative analysis
grounded theory
codebook

description: Das vorliegende Codebuch ist im Rahmen des Forschungsprojekts DESIVE² – Desinformationsverhalten verstehen entstanden, das sich zum Ziel gesetzt hat, ein erweitertes Verständnis der Verbreitungsmechanismen wissenschaftsbezogener Desinformation zu entwickeln. Ziel war es, zu einem differenzierten Modell des Desinformationsverhaltens zu kommen. Ein besonderer Schwerpunkt lag auf der Frage, wie Menschen Gesundheitsinformationen wahrnehmen, bewerten, weitergeben und verarbeiten – auch im Spannungsfeld zwischen validen Informationen und Desinformation.

Die qualitative Analyse basierte auf Daten, die im Rahmen zweier Erhebungsphasen über eine eigens entwickelte App gesammelt wurden. Teilnehmende konnten darüber regelmäßig Situationen, in denen Gesundheitsinformationen eine Rolle spielten, übermitteln und begleitende Fragen beantworten.

Die qualitative Auswertung folgte den Prinzipien der Grounded Theory, wobei insbesondere der iterative Prozess des Codierens, Vergleichens und Theoriebildens im Mittelpunkt stand. In der ersten Runde der App-Studie erfolgte eine offene und selektive Codierung der Tagebucheinträge durch zwei Forschende mithilfe von MAXQDA. Die daraus hervorgehenden Kategorien wurden für die zweite Runde weiterentwickelt und erneut in einem kollaborativen Codierprozess geprüft, angepasst und verdichtet. Durch Zusammenführung und Clustering wurde ein umfassendes Kategoriensystem entwickelt, das emergente Muster in der Verarbeitung und Weitergabe von Gesundheitsinformationen systematisch abbildet. Die iterative Entwicklung des Codebuchs mündete in das hier vorliegende finale Codebuch, das zentrale Aspekte des Desinformationsverhaltens beschreibt.

Das Codebuch ist Teil des Forschungsprojekts "DESIVE² – Desinformationsverhalten verstehen", gefördert vom Bundesministerium für Bildung und Forschung unter der Förderlinie "Forschung Agil - Erkennen und Bekämpfung von digitalen Desinformationskampagnen" (Förderkennzeichen: 16KIS1530); Laufzeit: 2021-2024.
Why do organisations matter?
Creators: name: Marsh, Andrew
Publisher: name: figshare
Year: 2016
Subjects: subject: 140213 Public Economics- Public Choice
subject: FOS: Economics and business
subject: 140218 Urban and Regional Economics
subject: 140219 Welfare Economics
subject: 150311 Organisational Behaviour
subject: 170107 Industrial and Organisational Psychology
subject: FOS: Psychology

description: Seeding the Change from Within - Exercise Day 1
Brief communication: Do 1.0 °C, 1.5 °C or 2.0 °C matter for the future evolution of Alpine glaciers?
Creators: name: Compagno, Loris
name: Eggs, Sarah
name: Huss, Matthias
name: Zekollari, Harry
name: Farinotti, Daniel
Publisher: name: ETH Zurich
Year: 2021

description: With the Paris Agreement, the urgency of limiting ongoing anthropogenic climate change has been recognized. More recent discussions have focused on the difference of limiting the increase in global average temperatures below 1.0, 1.5, or 2.0 °C compared to pre-industrial levels. Here, we assess the impacts that such different scenarios would have on both the future evolution of glaciers in the European Alps and the water resources they provide. Our results show that the different temperature targets 5 have important implications for the changes predicted until 2100, and that glaciers might start recovering after the end of the 21st century.
description: The Cryosphere Discussions
description: ISSN:1994-0432
description: ISSN:1994-0440
The long-lived anthropogenic radionuclides I-129 and U-236 as tracers of water mass provenance, circulation timescales and mixing in the Arctic Ocean and Fram Strait
Creators: name: Wefing, Anne-Marie
name: Casacuberta, Núria
name: Christl, Marcus
name: Smith, John N.
name: Dodd, Paul A.
name: Chamizo, Elena
name: López-Lora, Mercedes
name: Synal, Hans-Arno
Publisher: name: ETH Zurich
Year: 2020

description: EGUsphere
Resolving dynamic ground motions with high-rate GNSS and implications for data fusion in broadband seismology and Earthquake Early Warning
Creators: name: Hohensinn, Roland
name: Dahmen, Nikolaj
name: Clinton, John Francis
name: Geiger, Alain
name: Rothacher, Markus
Publisher: name: ETH Zurich
Year: 2020

description: EGUsphere
Fabrication of magnetic nanoparticles armed with quaternarized N-halamine polymers as recyclable antibacterial agents
Creators: name: Wang, Xi
name: Xiang, Qian
name: Weiwei Cao
name: Jin, Feng
name: Xuefeng Peng
name: Bingcheng Hu
name: Xiaodong Xing
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Biochemistry
subject: Space Science
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Cancer

description: Magnetic recyclable bactericidal nanocomposites (Fe3O4@PDMC) were well-designed and prepared by coating of Fe3O4 nanoparticles with quaternarized N-halamine polymers via the free radical polymerization process. In which, 5,5-dimethylhydantoinyl-(3-ethyl-methacrylamine)propyl dimethylammonium bromide (DEMPA), a new monomeric N-halamine precursor, was used as a coating material as well as the dual-functional bactericidal agent. The developed Fe3O4@PDMC nanocomposites exhibited suitable size and super-paramagnetic responsibility. The antibacterial results showed that the Fe3O4@PDMC nanocomposites had excellent biocidal abilities against Staphylococcus aureus (gram-positive) and Escherichia coli (gram-negative). Furthermore, the TTC (Triphenyl Tetrazolium Chloride)–dehydrogenase activity assay confirmed that the reductions of the bacteria were mainly attributed to powerful biocidal effects of the coating polymer instead of bacteria capture by the cationic surface. Interestingly, due to the magnetic responsive performance of Fe3O4, the as-prepared Fe3O4@PDMC nanocomposites can be recycled by a magnet and reused for antibacterium through the quenching/rechlorination procedure. All the results presented in this study show that the proposed Fe3O4@PDMC nanocomposites could be a competitive candidate for water purification systems and household sanitation.
Supporting Information from Characterizing the reproduction number of epidemics with early subexponential growth dynamics
Creators: name: Chowell, Gerardo
name: Viboud, Cécile
name: Simonsen, Lone
name: Moghadas, Seyed M.
Publisher: name: The Royal Society
Year: 2016
Subjects: subject: Computational Biology
subject: 10202 Biological Mathematics
subject: FOS: Mathematics

description: Early estimates of the transmission potential of emerging and re-emerging infections are increasingly used to inform public health authorities on the level of risk posed by outbreaks. Existing methods to estimate the reproduction number generally assume exponential growth in case incidence in the first few disease generations, before susceptible depletion sets in. In reality, outbreaks can display subexponential (i.e. polynomial) growth in the first few disease generations, owing to clustering in contact patterns, spatial effects, inhomogeneous mixing, reactive behaviour changes or other mechanisms. Here, we introduce the generalized growth model to characterize the early growth profile of outbreaks and estimate the effective reproduction number, with no need for explicit assumptions about the shape of epidemic growth. We demonstrate this phenomenological approach using analytical results and simulations from mechanistic models, and provide validation against a range of empirical disease datasets. Our results suggest that subexponential growth in the early phase of an epidemic is the rule rather the exception. Mechanistic simulations show that slight modifications to the classical susceptible–infectious–removed model, result in subexponential growth, and in turn a rapid decline in the reproduction number within three to five disease generations. For empirical outbreaks, the generalized-growth model consistently outperforms the exponential model for a variety of directly and indirectly transmitted diseases datasets (pandemic influenza, measles, smallpox, bubonic plague, cholera, foot-and-mouth disease, HIV/AIDS and Ebola) with model estimates supporting subexponential growth dynamics. The rapid decline in effective reproduction number predicted by analytical results and observed in real and synthetic datasets within three to five disease generations contrasts with the expectation of invariant reproduction number in epidemics obeying exponential growth. The generalized-growth concept also provides us a compelling argument for the unexpected extinction of certain emerging disease outbreaks during the early ascending phase. Overall, our approach promotes a more reliable and data-driven characterization of the early epidemic phase, which is important for accurate estimation of the reproduction number and prediction of disease impact.
FOND BOZORIDA INSTITUTSIONAL INVESTORLAR FAOLLIGINI OSHIRISH
Creators: name: Madiyorov, Mirzo Ulug'bek
Publisher: name: Zenodo
Year: 2025

description: Hozirgi global iqtisodiyotda fond bozorlari iqtisodiy o‘sishning muhim tarkibiy qismi hisoblanadi. Bu bozorlar korxonalarga kapital jalb qilish, investorlarga esa daromad topish imkoniyatini yaratadi. Ammo fond bozorining samarali faoliyat yuritishi, eng avvalo, ishtirokchilarning, xususan, institutsional investorlarning faolligiga bog‘liq. Institutsional investorlar — bu yirik moliyaviy tashkilotlar bo‘lib, ular orasida pensiya jamg‘armalari, sug‘urta kompaniyalari, investitsion fondlar va boshqa moliyaviy muassasalar mavjud. Ular o‘z investitsiya strategiyalarini chuqur tahlillarga asoslanib ishlab chiqadilar va bozor barqarorligiga sezilarli ta’sir ko‘rsatadilar. Shuning uchun fond bozorining salohiyatini to‘liq ishga solish uchun institutsional investorlar faolligini oshirish masalasi dolzarb bo‘lib bormoqda.
Supplementary Material for: Efficacy of Dapsone in the Treatment of Pemphigus Vulgaris: A Single-Center Case Study
Creators: name: Baum, S.
name: Debby, A.
name: Gilboa, S.
name: Trau, H.
name: Barzilai, A.
Publisher: name: Karger Publishers
Year: 2016
Subjects: Medicine

description: Background: Pemphigus vulgaris (PV) is a chronic autoimmune blistering disease. Most patients require long-term therapy with systemic steroids, and a steroid-sparing agent is usually also utilized. Dapsone is a chemotherapeutic agent with anti-inflammatory properties that is used as a steroid-sparing agent in PV. Objective: The aim of the present study was to evaluate the efficacy of dapsone as an adjuvant therapy in patients with PV. Methods: A retrospective analysis of patients' files was performed. All 26 patients included in the study group were treated with dapsone as an adjuvant to systemic steroids for at least 3 consecutive months and were followed up during their dapsone treatment period. Results: After 3 months of treatment with dapsone, 13 patients were in the consolidation phase, 4 patients demonstrated partial remission on minimal therapy, 7 patients demonstrated complete remission on minimal therapy, and 2 patients were defined as treatment failures. The trend of clinical improvement continued after 6 months of treatment and at the study end point. Conclusion: This retrospective case series, one of the largest reported, indicates that dapsone is efficacious and safe for patients with PV in whom it is well tolerated soon after the initiation of treatment.
Presentation: National Standards for IT Ontologies and Corresponding Existential Threats
Creators: name: Vishnevskiy, Maksim
Publisher: name: Zenodo
Year: 2025
Subjects: Phenomenology
Fundamental Ontology
Heidegger
Ontological Systems
Artificial General Intelligence (AGI)

description: This presentation, given at the Philosophy + IT workshop, served as the starting point for the arXiv paper: A Phenomenological Approach to Analyzing User Requests in IT Systems Using Heidegger's Fundamental Ontology (aarXiv:2504.12977). It summarizes the phenomenological approach to IT ontology standards and discusses the corresponding existential threats.
Temporal analysis of vulnerability during nesting season of northern pine snakes (Pituophis melanoleucus melanoleucus) in New Jersey
Creators: name: Ng, Kelly R.
Publisher: name: No Publisher Supplied
Year: 2024

description: Understanding the costs of reproduction for female reptiles is an important aspect of their survival and fitness. Detailed behavioral studies on nesting snakes are rarely observed in the wild. Because they are cryptic and rare in New Jersey, the Northern Pine Snake (Pituophis melanoleucus melanoleucus) is a state threatened species residing in the pine barrens and is vulnerable to human threats such as habitat loss, off-road vehicles, poaching, predators, and urbanization. This species is especially vulnerable during their nesting season and this paper is the first detailed study of Pine snake nesting by using time-lapse photography. This method is relatively new for monitoring squamates as time-lapse has been primarily used for avian and mammal species. It greatly reduces observer bias without affecting the snakes’ behavior, thus allowing for a temporal analysis of 10 individual female snakes at nest sites from 2017 to 2020. Vulnerability of the snakes was measured by recording duration of visibility above ground while duration of underground activity and presence was recorded by noting entry and exit of the nest. Two types of snakes (nesting and visiting) were classified, and 6 behaviors were defined. While nesting snakes can range from 223 to 906 minutes of above ground visibility a season, visiting snakes were visible 33 to 77 minutes within a season. Nesting snakes spend upwards to 8 days at a nest location, suggesting there should be more attention to protecting nesting females from human disturbance. Using high photo capture frequency of 2-seconds and proximity of the camera to the nest hole allowed observation of apparent behavioral and size differences between individuals. It is a possibility that larger nesting snakes were more likely to excavate nests quickly compared to smaller nesting snakes likely due to increased musculature. In which, these larger snakes could possibly be older and more experienced in locating nests from past years, whereas smaller nesting snakes are possibly younger and have difficulty finding a nest location consistently. Future studies should consider behavioral differences of nesting females based on age and size.
Verorten, verkörpern, verunsichern: Bettina Fredrich, 2012. Verorten, verkörpern, verunsichern: Eine Geschlechtergeographie der Schweizer Sicherheits- und Friedenspolitik
Creators: name: Hagmann, Jonas
Publisher: name: ETH Zurich
Year: 2014

description: Geographica Helvetica, 69 (1)
description: ISSN:0016-7312
Symposium summary: Epigenetic inheritance-impact for biology and society 26-28 August 2019, Zurich, Switzerland
Creators: name: Lazar-Contes, Irina
name: Roszkowski, Martin
name: Tanwar, Deepak K.
name: Mansuy, Isabelle M.
Publisher: name: ETH Zurich
Year: 2020
Subjects: symposium report
epigenetic inheritance
posters
workshop
speakers

description: The concept of epigenetic inheritance proposes a new and unconventional way to think about heredity in health and disease, at the interface between genetics and the environment. Epigenetic inheritance is a form of biological inheritance not encoded in the DNA sequence itself but mediated by epigenetic factors. Because epigenetic factors can be modulated by the environment, they can relay this information to the genome and modify its activity consequentially. If epigenetic changes induced by environmental exposure are present in the germline and persist in germ cells during development until conception, they have the potential to transfer the traces of ancestral exposure to the progeny. This form of heredity relates to the extremely important question of nature versus nurture and how much of our own make-up is genetically or epigenetically determined, a question that remains largely unresolved. Because it questions the dominant dogma of genetics and brings a paradigm shift in sciences, it has to creating strong bridges between disciplines and provide solid causal evidence to be firmly established. The second edition of a conference fully dedicated to epigenetic inheritance was held in August 2019 in Zurich, Switzerland. This symposium titled 'Epigenetic inheritance: impact for biology and society' (http://www.epigenetic-inheritance-zurich.ethz.ch), gathered experts in the field of epigenetic inheritance to discuss the concept and pertinent findings, exchange views and expertise about models and methods, and address challenges raised by this new discipline. The symposium offered a mix of invited lectures and short talks selected from abstracts, poster sessions and a workshop 'Meet the experts: Q&A'. A tour of a local omics facility the Functional Genomics Center Zurich was also offered to interested participants. Additional comments and impressions were shared by attendees on Twitter #eisz19 during and after the symposium. This summary provides an overview of the different sessions and talks and describes the main findings presented.
description: Environmental Epigenetics, 6 (1)
description: ISSN:2058-5888
Researcher-level altmetrics paper
Creators: name: Altmetrics Conference
name: Impactstory Team
Publisher: name: figshare
Year: 2016
Subjects: subject: 160511 Research, Science and Technology Policy
subject: FOS: Political science

description: Paper presented by Jason Priem at the 2016 3:AM conference, held on the 28th - 29th September in Bucharest
TIJORAT BANKLARIDA "OPEN BANKING" AMALIYOTINI TAKOMILLASHTIRISH
Creators: name: Sulaymonov, Farruh
Publisher: name: Zenodo
Year: 2025

description: Ushbu tadqiqotda tijorat banklarida Open Banking (ochiq bank tizimi) amaliyotining joriy etilishi va uni takomillashtirish zarurati chuqur tahlil qilinadi. Raqamli iqtisodiyotning jadallashuvi, moliyaviy texnologiyalar (fintech) rivoji va mijozlarning interaktiv xizmatlarga bo‘lgan talabining oshishi fonida Open Banking global moliya sektorida asosiy transformatsion yo‘nalishlardan biriga aylandi. So‘nggi yillarda Buyuk Britaniya, Yevropa Ittifoqi, Singapur va Xitoy kabi davlatlarda Open Banking nafaqat bank xizmatlarini avtomatlashtirish, balki ularni moslashtirish, personalizatsiya qilish va mijoz ishonchini oshirishda samarali mexanizm sifatida e’tirof etilmoqda. Open Bankingning asosiy mohiyati – mijoz roziligi asosida bank ma’lumotlarini ishonchli uchinchi tomon tashkilotlari bilan almashish orqali mijozlar uchun yangi xizmatlar yaratishdir. Ushbu tizimda API (Application Programming Interface) texnologiyalari muhim rol o‘ynaydi, bu esa ma’lumotlar oqimini xavfsiz, tez va moslashtirilgan tarzda tashkil etishga imkon beradi .
Impact of European Cohesion Policy on regional growth: does local economic structure matter?
Creators: name: Percoco, Marco
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Ecology
subject: Sociology
subject: FOS: Sociology
subject: Science Policy
subject: Plant Biology

description: Impact of European Cohesion Policy on regional growth: does local economic structure matter? Regional Studies. A growing body of literature has analysed the effect of European Cohesion Policy on regional gross domestic product (GDP) growth. The paper contributes to this literature by discussing Structural Funds and assigning an explicit role to the choice of strategy and the economic structure of regions. In particular, adopting a regression discontinuity design with heterogeneous treatment and using data on NUTS-3 regions makes it possible to identify the causal impact of Structural Funds on regional growth according to the size of the service sector, a sector that accounts for a large share of total Structural Funds expenditure. The paper shows that the larger the sector, the greater the amount of financial resources directed to services and the slower is growth. The interpretation pertaining to policy implications is that higher growth rates can be obtained by promoting the service sector at its early stages, i.e., when it is comparatively small and its potential for productivity growth is higher.
PDF Version: How Photography Changed Time By Rick Doble
Creators: name: Doble, Rick
Publisher: name: figshare
Year: 2016
Subjects: subject: Art
subject: Design
subject: Digital Humanities
subject: History
subject: 200104 Media Studies
subject: FOS: Media and communications
subject: Entertainment

description: Our modern sense of time was radically changed with the invention of photography. The past could now be visualized and frozen in fine detail. Moreover the photograph was an objective accurate record of the past, one that might yield important research information for centuries. We might call the time before photography pre-photographic just as we call the time before written records, pre-historic. In addition our personal sense of time was changed with family albums and our ability to now record our own past with precision.
Lineage recording reveals dynamics of cerebral organoid regionalization
Creators: name: He, Zhisong
name: Gerber, Tobias
name: Maynard, Ashley
name: Jain, Akanksha
name: Petri, Rebecca
name: Santel, Malgorzata
name: Ly, Kevin
name: Sidow, Leila
name: Sanchís-Calleja, Fátima
name: Riesenberg, Stephan
name: Camp, J. Gray
name: Treutlein, Barbara
Publisher: name: ETH Zurich
Year: 2020

description: Diverse regions develop within cerebral organoids generated from human induced pluripotent stem cells (iPSCs), however it has been a challenge to understand the lineage dynamics associated with brain regionalization. Here we establish an inducible lineage recording system that couples reporter barcodes, inducible CRISPR/Cas9 scarring, and single-cell transcriptomics to analyze lineage relationships during cerebral organoid development. We infer fate-mapped whole organoid phylogenies over a scarring time course, and reconstruct progenitor-neuron lineage trees within microdissected cerebral organoid regions. We observe increased fate restriction over time, and find that iPSC clones used to initiate organoids tend to accumulate in distinct brain regions. We use lineage-coupled spatial transcriptomics to resolve lineage locations as well as confirm clonal enrichment in distinctly patterned brain regions. Using long term 4-D light sheet microscopy to temporally track nuclei in developing cerebral organoids, we link brain region clone enrichment to positions in the neuroectoderm, followed by local proliferation with limited migration during neuroepithelial formation. Our data sheds light on how lineages are established during brain organoid regionalization, and our techniques can be adapted in any iPSC-derived cell culture system to dissect lineage alterations during perturbation or in patient-specific models of disease.
description: bioRxiv