cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
A holistic assessment of greenhouse gas dynamics from forests to the effects of wood products use in Austria
Creators: name: Braun, Martin
name: Fritz, David
name: Weiss, Peter
name: Braschel, Nina
name: Büchsenmeister, Richard
name: Freudenschuß, Alexandra
name: Gschwantner, Thomas
name: Jandl, Robert
name: Ledermann, Thomas
name: Neumann, Markus
name: Pölz, Werner
name: Schadauer, Klemens
name: Schmid, Carmen
name: Schwarzbauer, Peter
name: Stern, Tobias
Publisher: name: Taylor & Francis
Year: 2016
Subjects: 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: Ecology
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Science Policy

description: Anthropogenic GHG emissions add a fast reinforcing feedback cycle to global carbon dynamics which continues to influence GHG concentrations in the Earth's atmosphere. When looking at forest carbon cycles there is potential in utilizing another feedback cycle, namely the carbon cycle involving harvested wood products. To assess the potential of the mitigation options arising from these carbon flows, the forest-based sector in Austria was modelled to assess causal links, dependencies and dynamics involved in GHG-relevant processes. Carbon dynamics were investigated in forests and forest soil carbon, the forest product chain and life-cycle analyses for substitution of conventional products with wood products in a cascade of different modelling approaches and paradigms, and the results synthesized. It was found that material use of products from domestic timber sources has the highest climate change mitigation efficiency when originating from sustainably managed forests regarding biomass stocks. The emissions saved through building up a carbon stock from harvested wood products and through emissions substitution can be as high as ∼20 years of total annual Austrian emissions in 90 years. Additional conservation measures while sustaining sawnwood production and the related GHG benefits at a high level had the highest contribution to an overall carbon sink.
Dokumentation - Entstehung wissenschaftlicher Falschinformation und ihrer Typen
Creators: name: Stiller, Juliane
name: Trkulja, Violeta
name: Henkel, Maria
name: Peters, Isabella
Publisher: name: Zenodo
Year: 2025
Subjects: disinformation
misinformation
scientific misinformation
pseudoscience
retracted articles
science system

description: Die hier beschriebene Klassifikation 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.

Um zu verstehen, wie Wissenschaftlichkeit und Falschinformation zusammenhängen, wurden die verschiedenen Typen von wissenschaftlicher Falschinformation analysiert. Einmal kann Falschinformation aus dem Wissenschaftssystem selbst kommen und es gibt Falschinformation, die Wissenschaftlichkeit vortäuscht, jedoch nicht aus dem System kommt. Es wurden verschiedene Fallbeispiele wissenschaftlicher Desinformation analysiert (z.B. zurückgezogene Artikel) und diesen den verschiedenen Formen wissenschaftlicher Falschinformation zugeordnet. Das Ergebnis ist eine Klassifikation wissenschaftlicher Falschinformation und ihrer Typen.
Virtual screening of Piperine analogs as Survivin inhibitors and their molecular interaction analysis by using consensus docking, MD simulation, MMPB/GBSA and alanine scanning techniques
Creators: name: Sattarinezhad, Elham
name: Abdol-Khalegh Bordbar
name: Najmeh Fani
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Biophysics
subject: Biochemistry
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 60506 Virology

description: Virtual screening of Piperine analogs as Survivin inhibitors and their molecular interaction analysis by using consensus docking, MD simulation, MMPB/GBSA and alanine scanning techniques
Semiconductor lasers in quantum cryptography
Creators: name: Lovic, Victor
Publisher: name: Imperial College London
Year: 2023

description: The unique properties of quantum mechanics, like entanglement and superposition, can be leveraged to carry out cryptographic tasks that cannot be achieved by classical means. For example, Quantum Key Distribution (QKD) enables two parties to communicate in a provably secure manner. Another application is Quantum Random Number Generation (QRNG), exploiting the inherent randomness in quantum mechanics to generate truly random numbers. Semiconductor lasers are a key technology in both QKD and QRNG and greatly influence the performance and security of these systems. Semiconductor lasers are also an advanced technology, benefitting from decades of research and development from the field of classical fibre optic communications. This has resulted not only in low-cost, high-performance devices, but also an extensive associated literature. While QKD and QRNG have similar laser requirements to classical fibre optic communications, and have thus significantly benefitted from the associated research and development, they also have unique requirements and use cases that have been insufficiently explored by the current literature. This thesis draws from the existing literature to study semiconductor lasers specifically in the context of quantum cryptography. We introduce the essential methods for modelling semiconductor lasers and provide two specific applications of them. In the first, we model phase noise in a gain-switched laser diode, crucial for security in quantum cryptography. And second, we study the so-called laser seeding attack in QKD. Throughout our work we complement our simulation results with experiments, and vice versa. This thesis contributes to the security and performance of QKD and QRNG, and provides tools and techniques for further study of semiconductor lasers in quantum cryptography.
Future water temperature of rivers in Switzerland under climate change investigated with physics-based models
Creators: name: Michel, Adrien
name: Schaefli, Bettina
name: Wever, Nander
name: Zekollari, Harry
name: Lehning, Michael
name: Huwald, Hendrik
Publisher: name: ETH Zurich
Year: 2021

description: Hydrology and Earth System Sciences Discussions
description: ISSN:1812-2116
description: ISSN:1812-2108
Improving differentiation and maturation of hESCs-derived hepatocytes for biomedical applications
Creators: name: Farhan, Faiza
Publisher: name: Imperial College London
Year: 2023

description: The potential for generating hepatocytes from hPSCs holds immense promise for in vitro disease modelling and drug development. However, achieving hepatocytes that faithfully replicate in vivo hepatocytes has proven challenging, influenced by various factors within the cellular microenvironment (Dziedzicka et al., 2021; M. H. Kim et al., 2021). Among these factors, cell seeding density (Dziedzicka et al., 2021) and extracellular matrices play pivotal roles in shaping liver development and hepatocyte functions. Nevertheless, their precise functions in hepatocyte differentiation and maturation during hPSC differentiation remain elusive. This project focuses on refining the differentiation of hESCs into HLCs with an emphasis on enhancing maturation, functionality, and reproducibility for biomedical applications such as disease modelling and drug testing. Prior HLC differentiation experiments in our laboratory relied on splitting ratios, resulting in inconsistent outcomes. To address reproducibility, I investigated the impact of cell seeding density on DE formation, examining L-SD, M-SD, and H-SD seeding densities. The findings highlighted M-SD as the better condition, marked by elevated SOX17 and GATA6 expression and improved DE differentiation. Furthermore, this study delved into the influence of ECMs, specifically COL and MG, on the structural and functional properties of hESCs-HLCs. Results indicated that COL-based conditions enhanced albumin secretion and urea production, resembling portal hepatocyte functions, while MG boosted CYP3A4 activity and glycogen storage, mirroring pericentral hepatocyte characteristics. Moreover, the research unveiled the differential regulation of Wnt target genes (LEF1 and AXIN2) by MG and COL, suggesting their potential impact on hepatocyte zonation through modulation of the Wnt signalling pathway—a known factor in establishing hepatocyte zonation (Benhamouche et al., 2006; Burke et al., 2009; Ma et al., 2020). In conclusion, this study underscores the significance of cell seeding density and specific ECM compositions in generating and maturing hESCs-HLCs, offering insights into creating zone-specific liver disease models and pharmaceutical applications.
Photophysics of narrow bandgap organic semiconductors for infrared photodetectors
Creators: name: Jacoutot, Polina
Publisher: name: Imperial College London
Year: 2023

description: Organic electronics are at the forefront of new and emerging technologies. From solar cells to photodetectors and OLED screens, these soft and versatile materials offer great optoelectronic properties for realising efficient, lightweight, transparent, and flexible devices. Furthermore, their rich chemistry can be harnessed to tune their absorption to the infrared region by narrowing the optical gap, achieving absorption onsets below 1.1 eV. In addition to surpassing the absorption cut-off of silicon benchmark, organic semiconductors can be processed from solutions, making them excellent candidates for the new generation of photodetectors. This thesis presents spectroscopic investigations of narrow-bandgap materials for infrared organic photodetectors. The work described herein focuses on novel donor:acceptor blends which offer infrared light detection, while also maintaining solubility. The key approach to bandgap narrowing is based on the push-pull nature of the proposed conjugated polymer systems and atomic substitutions in small molecule acceptors to tune the energetics and microstructure of the organic semiconducting materials. Utilising ultrafast and steady-state spectroscopic methods, we aim to elucidate the underlying mechanisms of charge photogeneration, separation, transport, and recombination processes in these novel blends. Spectroscopic models involving the processes contributing to the photodetector performance are proposed. Strategies to improve infrared organic photodetector performance through dark current reduction and morphology optimisation are discussed. As well as presenting novel materials, the findings of this work have deepened our understanding of the mechanisms limiting photodetector performance and, thus, served to further unlock the potential of organic semiconductors in infrared imaging and sensing applications.
A faithful solid-state spin-wave quantum memory for polarization qubits
Creators: name: Jin, Ming
name: Ma, You-Zhi
name: Zhou, Zong-Quan
name: Li, Chuan-Feng
name: Guo, Guang-Can
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Polarization-encoded qubits are particularly useful in quantum information tasks due to the easy transportation in a single spatial and temporal mode, the accurate qubit manipulation and the high robustness against decoherence. Reliable storage of polarization-encoded qubits is essential for the construction of large-scale quantum networks. Here we demonstrate a faithful quantum memory for photonic polarization qubits using the noiseless photon echo protocol implemented in a rare-earth-ion doped crystal (151Eu3+:Y2SiO5). Based on a detailed spectroscopic investigation on the 151Eu3+ ions at the site 2 of Y2SiO5 crystals, the qubit memory is implemented using a single piece of crystal which provides a near-uniform absorption for two orthogonal polarization states. A process fidelity of 0.919(24) is obtained for the storage of qubits carried by single-photon-level coherent pulses, which is beyond the maximal fidelity that can be achieved using the classical measure-and-prepare strategy. This compact device shall provide a useful solution for the construction of a long-lived transportable quantum memory and the memory-based quantum networks.
Interpretable machine learning models for investigating and pre-screening cardiomyopathies with high-dimensional genomic and imaging data
Creators: name: Kasapi, Melpi
Publisher: name: Imperial College London
Year: 2023

description: Cardiomyopathies have long been considered as monogenic, Mendelian diseases with rare variant implications; however, as more studies look at the common variation in these low prevalence diseases, additional discoveries of the polygenic interplay are being revealed. Part of these discoveries also associate genomics with phenotype, specifically derived from cardiac magnetic resonance (CMR) imaging, and with the use of machine learning (ML), insights to the complex diversity of these diseases are revealed. The overall purpose of this thesis is to leverage the information hidden in genomic and imaging datasets with the use of ML to either 1) develop new methodologies for handling such complex datatypes and 2) create ML models that can potentially predict or generate risk scores for cardiomyopathies, based on genomic, clinical and imaging data. This is achieved by developing LAVASET, a novel ensemble algorithm that enhances the Random Forest algorithm and is able to mitigate variable correlation issues. In addition, traditional and interpretable ML algorithms are used to pre-screen and stratify cases of cardiomyopathy, while also displaying increased model performance when using LAVASET-derived imaging features. Finally, a deep-learning method for calculating Polygenic Risk Scores (PRS) is described, showing promising associations between high PRS and disease risk as well as high PRS and known cardiomyopathy outcomes and traits.
Observation of a Jump Like Transition from Fast to Normal Kinetics of Facets for Free Growing Helium Crystals
Creators: name: Tsymbalenko, V. L.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Other Condensed Matter (cond-mat.other)
subject: FOS: Physical sciences

description: The growth kinetics is studied of free-growing helium crystals within the temperature range 0.5-0.83 K and supersaturations to 10 mbar. For the pressure supersaturations above 0.5 mbar, numerous drastic changes are observed in the growth kinetics for all crystalline facets from the normal and slow kinetics to the anomalously high or burst-like one. It is found for the first time that the anomalous to normal transition in the facet growth kinetics occurs in a jump like manner within a time 80 μs interval of the measurement record.
Application of Artificial Intelligence in drug discovery: A new paradigm in drug designing
Creators: name: C. V. Haritha*1, Sunita Kumawat1, Ravi Prakash G1, Madhu C. Lingaraju1.
Publisher: name: The Science world a Monthly e magazine
Year: 2024

description: AI is defined as the mimicking of human intelligence process by machines or making the machines to think like humans to perform tasks such as learning, problem solving, reasoning and identification of patterns. This involves collecting data, developing rules for utilizing the information, drawing definite conclusions and auto-correction. Now-a-days AI is used in every sector ranging from educational methods to business processes to achieve the definite goals with accuracy. Adoption of AI in the drug development process has turned it to hope. AI comes up with two sub-fields, machine learning and deep learning. Machine learning uses the statistical methods with the ability to learn with or without being accurately programmed. Deep learning comprises artificial neural networks that learn from the greater amount of experimental data.

Machine learning includes supervised, unsupervised and reinforcement learning. In supervised learning, one uses the classification and regression methods and based on the input and output sources predictive model is developed such as disease diagnosis, ADMET prediction and drug efficacy. Unsupervised learning is based on clustering and feature finding methods. This uses solely input data for grouping and interpretation and can be utilised for discovery of disease subtype and target. Reinforcement learning involves decision making and the execution of the performance of a given problem. It can be applied for experimental designs and de novo drug designing which uses of modelling and quantum chemistry. Deep learning has emerged rapidly due to vast amount of data and increasing growth of computer capacity. Exploring into vast data and algorithm methods can offer us new compounds that could be potentially new medicine, helps us to unveil the repurposing of drugs and personalized medicines. Drug discovery is a time taking, costly and laborious process. Establishment of AI in the methods of drug discovery will witness the minimum failures in clinical trials and the process could be made faster and cheaper.
CD4-gp120 interaction interface - a gateway for HIV-1 infection in human: molecular network, modeling and docking studies
Creators: name: Deeksha Pandey
name: Podder, Avijit
name: Mansi Pandit
name: Narayanan Latha
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Biochemistry
subject: Medicine
subject: Molecular Biology
subject: Biotechnology
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: Cancer
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: 110309 Infectious Diseases
subject: 60506 Virology
subject: Computational Biology

description: The major causative agent for Acquired Immune Deficiency Syndrome (AIDS) is Human Immunodeficiency Virus-1 (HIV-1). HIV-1 is a predominant subtype of HIV which counts on human cellular mechanism virtually in every aspect of its life cycle. Binding of viral envelope glycoprotein-gp120 with human cell surface CD4 receptor triggers the early infection stage of HIV-1. This study focuses on the interaction interface between these two proteins that play a crucial role for viral infectivity. The CD4–gp120 interaction interface has been studied through a comprehensive protein–protein interaction network (PPIN) analysis and highlighted as a useful step towards identifying potential therapeutic drug targets against HIV-1 infection. We prioritized gp41, Nef and Tat proteins of HIV-1 as valuable drug targets at early stage of viral infection. Lack of crystal structure has made it difficult to understand the biological implication of these proteins during disease progression. Here, computational protein modeling techniques and molecular dynamics simulations were performed to generate three-dimensional models of these targets. Besides, molecular docking was initiated to determine the desirability of these target proteins for already available HIV-1 specific drugs which indicates the usefulness of these protein structures to identify an effective drug combination therapy against AIDS.
title: 02_1828
Creators: name: Wesley Baldwin, John
name: Baldwin, John W.
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2018
Subjects: subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris

description: L'ensemble de ces notes ont été crée par John Baldwin lors d'une de ses premières périodes de résidence à Paris. Ces documents comprennent tous les magistri qu’il avait pu rencontrer dans ses sources. Aux XIIème et XIIIème siècles, les universités n'existant pas encore, le titre de magister s'il évoque certainement une compétence n'est pas rattaché de façon systématique au passage par les écoles. De surcroît, les magistris sont le plus souvent désignés par leur seul prénom. La lecture de ces données est donc difficile et suppose un long travail pour tenter d'identifier un individu auquel on pourrait rattacher plusieurs mentions. John Baldwin avait donc renoncé à utiliser ces données pour donner un prolongement à sa magnifique étude sur les gradués d'université et leur emploi par les Capétiens et les Plantagenêts. Néanmoins, il a conservé ces données et elles sont potentiellement très utile dans le cadre de Studium, comme le sont toutes les mentions dans les volumes des Fasti Ecclesiae Gallicanae de chanoines portant ce titre de magister sans autres précisions. L'ampleur des dépouillements rend ces données très utiles et nous devons une grande reconnaissance à John Baldwin pour avoir pris la peine de faire photocopier ses fiches et de nous les avoir transmises amicalement.
Les données ainsi que les images des fiches sont accessibles sur le site Internet à l'adresse suivante : http://studium-baldwin.lamop.fr/.
Les transcriptions des fiches ont été effectuées par des étudiants de Paris 1 Panthéon - Sorbonne mais elles n'ont pas été corrigées par la suite.
description: Relation: https://lamop.hypotheses.org/
Left-handed polyproline-II helix revisited: proteins causing proteopathies
Creators: name: Adzhubei, Alexei A.
name: Anashkina, Anastasia A.
name: Makarov, Alexander A.
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Biophysics
subject: Biochemistry
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Molecular Biology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Cancer
subject: Computational Biology

description: Left-handed polyproline-II type helix is a regular conformation of polypeptide chain not only of fibrous, but also of folded and natively unfolded proteins and peptides. It is the only class of regular secondary structure substantially represented in non-fibrous proteins and peptides on a par with right-handed alpha-helix and beta-structure. In this study, we have shown that polyproline-II helix is abundant in several peptides and proteins involved in proteopathies, the amyloid-beta peptides, protein tau and prion protein. Polyproline-II helices form two interaction sites in the amyloid-beta peptides, which are pivotal for pathogenesis of Alzheimer’s disease (AD). It also with high probability is the structure of the majority of tau phosphorylation sites, important for tau hyperphosphorylation and formation of neurofibrillary tangles, a hallmark of AD. Polyproline-II helices form large parts of the structure of the folded domain of prion protein. They can undergo conversion to beta-structure as a result of relatively small change of one torsional angle of polypeptide chain. We hypothesize that in prions and amyloids, in general polyproline-II helices can serve as structural elements of the normal structure as well as dormant nuclei of structure conversion, and thus play important role in structure changes leading to the formation of fibrils.
Designing protein nanopores for capturing and degrading microplastics
Creators: name: Ferrer, Manuel
name: Robles-Martín, Ana
name: García-Linares, Sara
name: Martínez-del-Pozo, Álvaro
name: Guallar, Víctor
Publisher: name: Zenodo
Year: 2024

description: Approximately 400 million tonnes of plastic are produced globally each year, with an annual increase of approximately 4%. Their manufacture is one of the contributors to climate change. Moreover, over time, macro-plastics can undergo weathering and degradation, breaking down into smaller particles known as microplastics. These microplastics find their way into the atmosphere, oceans, wastewater and drinking water, posing substantial ecological and health challenges.

Polyethylene terephthalate (PET) constitutes over 10% of the world's plastic production, yet recycling remains both scarce and inefficient. While we can place a PET bottle in a reactor to degrade or reuse it, a pressing question arises: How can we effectively deal with nearly invisible PET microplastics? This poses a global challenge, where the aim is to develop biocatalysts not just for breaking down larger PET plastics, but also for handling sub-micro and nano-sized PET particles.
Identification of a Gas Mixture for Neutrino Physics in an Optical TPC
Creators: name: González-Díaz, D
name: Martín-Albo Simón, J
Publisher: name: Zenodo
Year: 2024
Subjects: WP7

description: Next-generation megawatt-scale neutrino beams open the way to studying neutrino-nucleus scattering resorting, for the first time, to gaseous targets. This represents an opportunity to improve the knowledge of neutrino cross sections in the energy region between hundreds of MeV and a few GeV, of interest for the upcoming generation of long-baseline neutrino oscillation experiments. The challenge is to accurately track and (especially) time the particles produced in neutrino interactions in large and seamless volumes down to few-MeV energies. We propose to accomplish this through an optically-read Time Projection Chamber (TPC) filled with high-pressure argon and equipped with both tracking and timing functions. In this work, we present a detailed study of the time-tagging capabilities of such a device, based on end-to-end optical simulations that include the effect of photon propagation, photosensor response, dark-count rate and pulse reconstruction. We show that the neutrino interaction time could be reconstructed from the primary-scintillation signal with a precision in the range 1-2.5 ns (𝜎) for point-like deposits with energies down to 5 MeV, and well below 1 ns for minimum-ionizing particle tracks. A discussion on previous limitations towards such a detection technology, and how they can be realistically overcome in the near future thanks to recent developments in the field, is presented (particularly the strong scintillation yields recently reported for Ar/CF4 mixtures). The performance presented in our analysis seems to be well within reach of next-generation neutrino-oscillation experiments through the instrumentation of the proposed TPC with conventional reflective materials and a SiPM carpet behind a transparent cathode.
The glacial geomorphology of the western cordilleran ice sheet and Ahklun ice cap, Southern Alaska
Creators: name: Ely, Jeremy C.
name: Gribble, Emily A.
name: Clark, Chris D.
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Medicine
subject: Neuroscience
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: FOS: Biological sciences
subject: 20199 Astronomical and Space Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Plant Biology

description: During the late Wisconsinan, Southern Alaska was covered by two large ice masses; the western arm of the Cordilleran Ice Sheet and the Ahklun Mountains Ice Cap. Compared to the other ice sheets that existed during this period (e.g. the British-Irish, Laurentide and Fennoscandian ice sheets), little is known about the geomorphology they left behind. This limits our understanding of their flow pattern and retreat. Here we present systematic mapping of the glacial geomorphology of the two ice masses which existed in Southern Alaska. Due to spatially variable data availability, mapping was conducted using digital elevation models and satellite images of varying resolutions. Offshore, we map the glacial geomorphology using available bathymetric data. For the first time, we document >5000 subglacial lineations, recording ice flow direction. The distribution of moraines is presented, as well as features related to glacial meltwater drainage patterns (eskers and meltwater channels). Prominent troughs were also mapped on Alaska's continental shelf. This map provides the data required for a glacial inversion of these palaeo-ice masses.
Nonlinear Brush Formulation for a Bicycle Tire Based on Rotta Model
Creators: name: Papadopoulos, Jim
name: Dressel, Andrew
Publisher: name: figshare
Year: 2016
Subjects: subject: Mechanical Engineering
subject: FOS: Mechanical engineering
subject: 91106 Special Vehicles
subject: FOS: Environmental engineering

description: A proceedings paper from BMD 2016.
Soil erosion of Hungary assessed by spatially explicit modelling
Creators: name: L. Pásztor
name: I. Waltner
name: Cs. Centeri
name: M. Belényesi
name: K. Takács
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Medicine
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: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: Science Policy
subject: Plant Biology
subject: Computational Biology

description: The conservation of soil resources is increasingly becoming a critical issue worldwide, with growing interest in carbon stocks and water storage within the soil. Hungary is no exception, and there has been a demand for a country level soil erosion map that incorporates digital information available from the latest surveys and digital mapping campaigns. The map presented in this paper in based on the extremely wet year of 2010, and thus provides users a 1:100,000 scale ‘worst case scenario’ of soil erosion risk in Hungary (see Main Map). Results from both the Universal Soil Loss Equation and the Pan-European Soil Erosion Risk Assessment models were combined in order to achieve a map that can be used by a wide range of professionals. Both models estimate soil erosion by water in tonnes per hectare per year.
Dynamic fracture of two-dimensional periodic heterogeneous material
Creators: name: Kammer, David S.
name: Albertini, Gabriele
name: Lebihain, Mathias
name: Ponson, Laurent
Publisher: name: ETH Zurich
Year: 2022

description: We experimentally and theoretically investigate dynamic fracture of two-dimensional periodic heterogeneous materials [1]. The model material was created by multi-material additive manufacturing of polymers and tested against fracture in a tapered double cantilever beam setup. We measured the crack front position and near tip displacement field by means of integrated digital image correlation at high temporal resolution. The results show that the crack speed jumps instantaneously at the boundaries between two material layers. We determine the energy release rate and the local fracture energy and demonstrate that the crack speed jumps are predicted by the dynamic crack-tip energy balance of linear elastic fracture mechanics theory. The speed jump amplitude is affected by the fracture energy contrast and its rate dependency. Further, we show that the discontinuities in crack speed combined with a rate-dependent local fracture energy causes increased homogenized fracture toughness of periodic brittle materials. Overall, these results highlight the importance of local crack dynamics on macroscopic fracture resistance.
Comparison of essential oils from Cistus species growing in Sardinia
Creators: name: Mastino, Patrizia Monica
name: Marchetti, Mauro
name: Costa, Jean
name: Usai, Marianna
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Molecular Biology
subject: Evolutionary Biology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: 69999 Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Inorganic Chemistry

description: Cistus genus is present in Sardinia with large populations of C. monspeliensis, C. salvifolius, C. creticus subsp. eriocephalus and few stations of C. albidus, C. creticus subsp. creticus and C. creticus subsp. corsicus. No chemical studies are currently being carried on Cistus species of Sardinia. The essential oils have shown six different profiles. C. creticus subsp. eriocephalus showed a high amount of manoyl oxide and its isomer (70%). C. salvifolius has pointed out the group of labdans, (20%); another consistent percentage is made of perfumed molecules as ionone and its derivate. Several linear hydrocarbons were produced by C. monspeliensis, and the heneicosane was the most represented element. In C. albidus no labdane-type diterpenes were identified. Analysis of C. creticus subsp creticus revealed several oxygenated sesquiterpenes and labdane-type diterpenes, especially manoyl oxide. C. creticus subsp. corsicus was qualitatively very similar to C. creticus subsp. creticus, notably concerning the labdane-type compounds.
Phenotypic determinism and stochasticity in antibody repertoires of clonally expanded plasma cells
Creators: name: Neumeier, Daniel
name: Yermanos, Alexander
name: Agrafiotis, Andreas
name: Csepregi, Lucia
name: Chowdhury, Tasnia
name: Ehling, Roy A.
name: Kuhn, Raphael
name: Brisset Di Roberto, Raphael
name: Di Tacchio, Mariangela
name: Antonialli, Renan
name: Starkie, Dale
name: Lightwood, Daniel J.
name: Oxenius, Annette
name: Reddy, Sai T.
Publisher: name: ETH Zurich
Year: 2021

description: The capacity of humoral B cell-mediated immunity to effectively respond to and protect against pathogenic infections is largely driven by the presence of a diverse repertoire of polyclonal antibodies in the serum, which are produced by plasma cells (PCs).1,2 Recent studies have started to reveal the balance between deterministic mechanisms and stochasticity of antibody repertoires on a genotypic level (i.e., clonal diversity, somatic hypermutation, germline gene usage).3–8 However, it remains unclear if clonal selection and expansion of PCs follows any deterministic rules or is stochastic with regards to phenotypic antibody properties (i.e., antigen-binding, affinity, epitope specificity). Here we report on the in-depth genotypic and phenotypic characterization of clonally expanded PC antibody repertoires following protein immunization. We find that there is only a strong correlation with antigen-specificity among the most expanded clones (top ~ 10), whereas among the rest of the clonal repertoire antigen-specificity is stochastic. Furthermore, we report both on a polyclonal repertoire and clonal lineage level that antibody-antigen binding affinity does not correlate with clonal expansion or somatic hypermutation. Lastly, we provide evidence for convergence towards dominant epitopes despite clonal sequence diversity among the most expanded clones. Our results highlight the extent to which clonal expansion can be ascribed to antigen binding, affinity and epitope specificity and they have implications for the assessment of effective vaccines.
description: bioRxiv
Fabrication of PDMS-based Acoustofluidic Devices for 3D Access to Single Cells and Small Organisms
Creators: name: Läubli, Nino
name: Nelson, Bradley
Publisher: name: ETH Zurich
Year: 2021
Subjects: Acoustofluidics
Soft lithography,
Soft lithography
PDMS

description: Acoustofluidic manipulation has demonstrated significant potential for the investigation and handling of small organisms. In this protocol, we describe the steps required for the fabrication of a PDMS-based device with 150 um high structures to be used for the rotational manipulation of single cells and small organisms.
description: Protocol Exchange
QL- или TAP-блок: что предпочесть после кесарева сечения?
Creators: name: Махарин О. А.
name: Заварзин П. Ж.
name: Женило В. М.
name: Скобло М. Л.
Publisher: name: Вестник акушерской анестезиологии
Year: 2020
Subjects: местная анестезия
поперечно-плоскостная блокада
блокада квадратной мышцы живота

description: Реализация концепции «быстрая активизация пациентки (fast track) после кесарева сечения» невозможна без контроля над болью в раннем послеоперационном периоде. Использование регионарных методов как компонента мультимодальной терапии боли позволяет существенно улучшить качество послеоперационного обезболивания и ускорить активизацию роженицы. Внедрение ультразвуковой навигации при применении блокад периферических нервов существенно повысило эффективность и безопасность последних. Тем не менее, каждый метод регионарного обезболивания имеет свои показания, противопоказания и осложнения. Цель данного обзора – описать типы блокад передней брюшной стенки, которые можно применять после кесарева сечения.
Фентанил для индукции общей анестезии при кесаревом сечении – риск и польза
Creators: name: Роненсон Александр Михайлович
name: Шифман Е. М.
name: Куликов А. В.
Publisher: name: Вестник акушерской анестезиологии
Year: 2020
Subjects: общая анестезия
фентанил
кесарева сечение

description: Использование фентанила при индукции общей анестезии для кесарева сечения всегда вызывало вопросы безопасности применения в отношении новорожденного и потенциальные преимущества для матери. В этой статье мы обсудим возможность использования фентанила при индукции общей анестезии с точки зрения клинических рекомендаций в Российской Федерации.
Fast and accurate electric field model for optimizing the insulation design of magnetic devices
Creators: name: Korthauer, Bastian
name: Biela, Jürgen
Publisher: name: ETH Zurich
Year: 2021
Subjects: Electric field calculation
Insulation design
Insulation optimization
Schwarz-christoffel transformation

description: A bottleneck in optimization procedures of magnetic components is the calculation of the electric field strength (e.g. for an optimized insulation design) since this is based either on a slow numerical field simulation or on rough approximations. Hence, a fast and accurate method for the electric field calculation in the winding window is crucial for a fast optimization process. This paper presents a novel electric field calculation method that combines a variable potential function with a Schwarz-Christoffel (SC) mapping. This leads to accurate results, that match Finite Element Method (FEM) simulations as close as 5 %. The proposed method is more than 200 times faster than FEM and robust against parameter changes.
Тромбоцитопения: «Колоть нельзя интубировать» – где поставить запятую?
Creators: name: Шифман Е. М.
name: Роненсон А. М.
name: Куликов А. В.
Publisher: name: Вестник акушерской анестезиологии
Year: 2020
Subjects: тромбоцитопения
нейроаксиальная анестезия

description: Тромбоцитопения всегда является дилеммой для акушерского анестезиолога в принятии решения о спинальной или эпидуральной анестезии (анальгезии). При каком уровне тромбоцитов нельзя проводить нейроаксиальную анестезию, а при каком можно и безопасно. Мы разберем эти вопросы при обсуждении ретроспективного исследования, проведенного в Израиле.
Development of data loggers for motorcycle running tests
Creators: name: Watanabe, Hitoshi
name: Matsuo, Masashi
name: Morioka, Takeshi
Publisher: name: figshare
Year: 2016
Subjects: subject: Mechanical Engineering
subject: FOS: Mechanical engineering
subject: 91106 Special Vehicles
subject: FOS: Environmental engineering

description: A proceedings paper from BMD 2016.
Применение современных периневральных блокад после кесарева сечения
Creators: name: Волканевский Алексей Валерьевич
Publisher: name: Вестник акушерской анестезиологии
Year: 2020
Subjects: местная анестезия
поперечно-плоскостная блокада
блокада квадратной мышцы живота

description: Течение послеоперационного периода без качественной анальгезии является основой для неудовлетворительного хирургического результата, риска развития стресс-индуцированных осложнений. Как правило, базисное инъекционное обезболивание (НПВС + парацетамол + опиоидный анальгетик) реализовано в отечественной практике достаточно хорошо. Применение современных периневральных блокад в послеоперационном периоде, несомненно, увеличивает качество анальгезии.
A scaling limit theorem for Galton-Watson processes in varying environments
Creators: name: Rongjuan, Fang
name: Zenghu, Li
name: Jiawei, Liu
Publisher: name: arXiv
Year: 2022
Subjects: subject: Probability (math.PR)
subject: FOS: Mathematics

description: We prove a scaling limit theorem for discrete Galton-Watson processes in varying environments. A simple sufficient condition for the weak convergence in the Skorokhod space is given in terms of probability generating functions. The limit theorem gives rise to the continuous-state branching processes in varying environments studied recently by several authors.
description: This is a preliminary version of the paper published in Proc. Steklov Inst. Math. 316 (2022)
Symbolic derivation of nonlinear benchmark bicycle dynamics with toroidal wheels
Creators: name: E. X. Wang
name: Y. Wang
name: J. Liang
name: R. Chen
name: Z. Zeng
name: G. Xue
name: Y. Liu
name: Q. Fan
Publisher: name: figshare
Year: 2016
Subjects: subject: Mechanical Engineering
subject: FOS: Mechanical engineering
subject: 91106 Special Vehicles
subject: FOS: Environmental engineering

description: In this paper we present a nonlinear benchmark bicycle dynamics with toroidal wheels. Using a symbolic mathematic tool, we obtain two holonomic and four nonholonomic constraint equations due to front and rear wheels of the bicycle. We show that the two holonomic constraints cannot be expressed in quartic form, hence no analytic solution for the body pitch angle, for given steer and roll angles unless the minor (crown) radius of the torus are the same for both the front and rear wheels. Applying a standard procedure for developing dynamics in robotics, we construct constrained Euler-Lagrange equations for the 4 connected rigid bodies in the Whipple-Cornell-Delft benchmark bicycle. We eliminate Lagrange multipliers, auxiliary coordinates and obtain a set of three coupled nonlinear ordinary differential equations, corresponding to the rear body roll, steer and front wheel rotation motions. The coefficients of the equations are shown to depend only on rear body roll and steer angles. Finally, we prove the dynamic equation for the benchmark bicycle is the same as that of an underactuated manipulator, which has been studied extensively in robotics.
Уровень тромбоцитов и нейроаксиальная анестезия / анальгезия
Creators: name: Иоскович Александр Михайлович
Publisher: name: Вестник акушерской анестезиологии
Year: 2020
Subjects: нейроаксиальная анестезия / анальгезия
тромбоцитопения
спинальная и эпидуральная гематома

description: Тема «Уровень тромбоцитов и нейроаксиальная анестезия / анальгезия» остается одной их самых дискутируемых в акушерской анестезиологии. Достаточно ли знать только количество тромбоцитов или лучше использовать прикроватные тесты (ТЭГ / РОТЭМ) для оценки функции тромбоцитов? Где та «красная линия», которую нельзя переходить? А может быть риски общей анестезии превышают риски спинальной или эпидуральной гематомы?
Ordonnance du conseil souverain, qui déclare que l'Huissier du Bailliage d 'Avesnes a le droit de percevoir deux patars pour l'appel de chaque cause
Creators: name: Plouvain, Pierre-Antoine-Samuel-Joseph (1754-1832)
name: Six, Philippe-Josse-Auguste-Joseph (1732-1793)
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2018
Subjects: Rémunération
Huissier de justice
Appel

description: Source: http://nordnum.univ-lille.fr/ark:/72505/a0115224001360im5Ol/from/a011522400136ypxWl2
description: Coverage: Parlement de Flandre
description: created: 23/10/2018
description: created: 15/06/1684
title: 02_0047
Creators: name: Wesley Baldwin, John
name: Baldwin, John W.
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2018
Subjects: subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris

description: L'ensemble de ces notes ont été crée par John Baldwin lors d'une de ses premières périodes de résidence à Paris. Ces documents comprennent tous les magistri qu’il avait pu rencontrer dans ses sources. Aux XIIème et XIIIème siècles, les universités n'existant pas encore, le titre de magister s'il évoque certainement une compétence n'est pas rattaché de façon systématique au passage par les écoles. De surcroît, les magistris sont le plus souvent désignés par leur seul prénom. La lecture de ces données est donc difficile et suppose un long travail pour tenter d'identifier un individu auquel on pourrait rattacher plusieurs mentions. John Baldwin avait donc renoncé à utiliser ces données pour donner un prolongement à sa magnifique étude sur les gradués d'université et leur emploi par les Capétiens et les Plantagenêts. Néanmoins, il a conservé ces données et elles sont potentiellement très utile dans le cadre de Studium, comme le sont toutes les mentions dans les volumes des Fasti Ecclesiae Gallicanae de chanoines portant ce titre de magister sans autres précisions. L'ampleur des dépouillements rend ces données très utiles et nous devons une grande reconnaissance à John Baldwin pour avoir pris la peine de faire photocopier ses fiches et de nous les avoir transmises amicalement.
Les données ainsi que les images des fiches sont accessibles sur le site Internet à l'adresse suivante : http://studium-baldwin.lamop.fr/.
Les transcriptions des fiches ont été effectuées par des étudiants de Paris 1 Panthéon - Sorbonne mais elles n'ont pas été corrigées par la suite.
description: Relation: https://lamop.hypotheses.org/
Knowledge likely held by others affects speakers’ choices of referential expressions at different stages of discourse
Creators: name: Achim, Amélie M.
name: Achim, André
name: Fossard, Marion
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Medicine
subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: Science Policy

description: Effective communication requires adjusting one’s discourse to be understood by the addressee. While some suggest that choices of referring expressions are dependent on the addressee’s accessibility to the referent, there is also evidence for an egocentric bias in speech production. This study relied on two new experimental tasks designed to assess whether speakers adapt their choices of referential expressions when introducing movie characters that are either likely known or likely unknown by their addressee, and when maintaining or reintroducing these characters at a later point in the discourse. Results revealed an adjustment to the addressee in the use of character’s names (increased for likely known characters) and definite expressions (increased for likely unknown characters) observed at all the discourse stages. Use of indefinite expressions and names was affected by the participant’s own knowledge specifically when introducing the characters. These results indicate that speakers take their addressee’s likely knowledge into account at multiple discourse stages.
Fundamental Research and Observations Concerning Leaning Multi-Wheel Vehicles
Creators: name: E. Tsujii
name: T. Toyota
Publisher: name: figshare
Year: 2016
Subjects: subject: Mechanical Engineering
subject: FOS: Mechanical engineering
subject: 91106 Special Vehicles
subject: FOS: Environmental engineering

description: A proceedings paper from BMD 2016.