cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
B1MG - D5.1 B1MG maturity level model and country-specific alignment within the model
Creators: name: Costa, Alexandra
name: Cardoso, Maria Luís
name: Konopko, Melissa
name: Pérez Sitjà, Xènia
name: Lopes, Maria de Fátima
name: Merchant, Arshiya
name: Santos, Osvaldo
name: Bourbon, Mafalda
name: Thorogood, Adrian
name: Becker, Regina
name: Beliën, Jeroen
name: Gut, Ivo
name: Nyrönen, Tommi
name: Custers, Ilse
name: Scollen, Serena
name: Vicente, Astrid
name: DELPHI Panel Of Experts
Publisher: name: Zenodo
Year: 2022
Subjects: B1MG
Beyond 1 Million Genomes
1+MG
1 Million Genomes Initiative
Maturity Level Model
MLM

description: The Beyond One Million Genomes Maturity Level Model (B1MG MLM) was created as a tool for countries to self-assess the maturity level of implementation of genomics into their healthcare systems, according to a common matrix, and to define a path to optimization. As such, it aims to promote and facilitate the adoption of genomics in healthcare systems, close the best practice gaps across Europe, and make personalised medicine accessible to citizens and patients across Europe. This report describes the design of the B1MG MLM and the content validation through a Delphi exercise. A draft version of the MLM was initially developed after careful review of recently published literature and input from experts from the 1+ Million Genomes Initiative1 (1+MG) and the Beyond 1 Million Genomes Project2 (B1MG). This initial framework included 8 domains, each comprising several subdomains for which indicators and respective levels of maturity were assigned. The maturity level per indicator was rated in a scale from 1 to 5, namely from a non-existent or Ad hoc level of implementation to a level of maturity characterised by a system adaptable to opportunity and change, and in support of international cooperation. The content and structure of the designed framework was validated through a two round Delphi exercise to find consensus among a panel of 14 high level experts. The process validated the 8 proposed domains, namely: Governance and strategy Investment and economic mode Ethics, legislation and policy Public awareness and acceptance Workforce skills and organisation Clinical organisation, infrastructure and tools Clinical genomics guidelines and infrastructure Data management, standards and infrastructure. The 147 items initially proposed were validated after inclusion of comments and suggestions by the Delphi expert panel. The final version of the B1MG MLM can be found here3. To facilitate the use of the B1MG MLM an Assessment Tool Kit was developed, including a User’s Guide and an Assessment Tool. A pilot with voluntary countries is currently ongoing, to assess feasibility in real life healthcare settings, stimulate discussion among stakeholders across European health systems, address transferability of best practices, and finally discuss the development of an action plan for progress towards optimisation.
Optical measurements of strong microwave fields with Rydberg atoms in a vapor cell
Creators: name: Anderson, David A.
name: Miller, Stephanie A.
name: Gordon, Joshua A.
name: Butler, Miranda L.
name: Holloway, Christopher L.
name: Raithel, Georg
Publisher: name: arXiv
Year: 2016
Subjects: subject: Atomic Physics (physics.atom-ph)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We present a spectral analysis of Rydberg atoms in strong microwave fields using electromagnetically induced transparency (EIT) as an all-optical readout. The measured spectroscopic response enables optical, atom-based electric field measurements of high-power microwaves. In our experiments, microwaves are irradiated into a room-temperature rubidium vapor cell. The microwaves are tuned near the two-photon 65D-66D Rydberg transition and reach an electric field strength of 230V/m, about 20% of the microwave ionization threshold of these atoms. A Floquet treatment is used to model the Rydberg level energies and their excitation rates. We arrive at an empirical model for the field-strength distribution inside the spectroscopic cell that yields excellent overall agreement between the measured and calculated Rydberg EIT-Floquet spectra. Using spectral features in the Floquet maps we achieve an absolute strong-field measurement precision of 6%.
Oblique Angle of Incidence Measurement of PV Modules on a Solar Simulator
Creators: name: Bui, M.
name: Völker, C.
name: Li, B.
name: Doble, D.M.J.
Publisher: name: WIP
Year: 2011
Subjects: Components for PV Systems
PV Modules

description: 26th European Photovoltaic Solar Energy Conference and Exhibition; 3476-3479
description: Evaluating the performance of photovoltaic (PV) modules at oblique angle of incidence (AOI) is important for accurate energy yield prediction. The AOI effect has been investigated based on outdoor measurement and the following optical model simulation. The advantage of indoor over outdoor conditions is that irradiance, AOI, and module temperature can be well defined, while a major challenge is the spatial non-uniformity of irradiance when the module is tilted.
The work presented herein concerns a multi-step approach that enables the prediction of module performance in the field at varying AOI using an indoor solar simulator. A class AAA solar simulator and a custom-designed module holder with bearings for tilting have been used for this study. The first step involves mapping out the spatial non-uniformities of irradiance at different AOI by collecting measurements for a reference cell at multiple points across the inclined plane. The I-V characteristics of the module were then measured in tilted configurations. The resulting I-V curve for a standard module with six rows of cells exhibited three platforms corresponding to the three different short-circuit currents generated each of the three strings.
It was also found that AOI measurements could be used to determine which contains the current-limiting cell. This was accomplished through flipping the module left to right and repeating the I-V measurement at oblique AOI. Since the uppermost row receives less light than the lower row in a given string, the Isc of the individual string is always determined by the worst cell in the top row. Finally, the position of the monitor cell was adjusted to regulate the total amount of illumination to ensure 1000 W/m2 on one single string at different AOI for I-V measurement. Assuming that the quantum efficiency is uniform across the cell, such I-V characteristics are representative of the module performance in the field.
Introducing a Reliability Concept Based on Probabilistic Material Data of Glass for PV Modules
Creators: name: Dietrich, S.
name: Pander, M.
name: Sander, M.
name: Ebert, M.
name: Bagdahn, J.
Publisher: name: WIP
Year: 2011
Subjects: Components for PV Systems
PV Modules

description: 26th European Photovoltaic Solar Energy Conference and Exhibition; 3314-3320
description: Within current studies the assessment of the mechanical reliability of solar modules on basis of probabilistic
material strength data for glass was introduced. Ring on ring strength tests according to ISO 1288-5 were carried out
for several float glass manufacturers. Weibull parameters were evaluated on basis of strength test results. The results
show that the strength values can differ significantly in terms of the flaw distribution and strength value.
Numerical time and temperature dependant simulations were carried out for several mounting cases for solar
modules applying an equally distributed load of 2400 Pa as defined in IEC standards. Combining probabilistic
strength values with the size effect for brittle materials the mechanical reliability of solar modules has been evaluated
and compared to a classical design approach. It is shown that the differences of the strength values can have a large
impact on module reliability. Classical approach might underestimate this impact. Furthermore, the design of double
glass modules should consider the side of the glass (tin, atmosphere) and the direction in the module laminate. Time
dependent simulations showed that viscoelastic material behaviour of the encapsulant should be considered also in
terms of their dependency on temperature.
Transmission Estimation at the Fundamental Quantum Cramér-Rao Bound with Macroscopic Quantum Light
Creators: name: Woodworth, Timothy S.
name: Hermann-Avigliano, Carla
name: Chan, Kam Wai Clifford
name: Marino, Alberto M.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: The field of quantum metrology seeks to apply quantum techniques and/or resources to classical sensing approaches with the goal of enhancing the precision in the estimation of a parameter beyond what can be achieved with classical resources. Theoretically, the fundamental minimum uncertainty in the estimation of a parameter for a given probing state is bounded by the quantum Cramér-Rao bound. From a practical perspective, it is necessary to find physical measurements that can saturate this fundamental limit and to show experimentally that it is possible to perform measurements with the required precision to do so. Here we perform experiments that saturate the quantum Cramér-Rao bound for transmission estimation over a wide range of transmissions when probing the system under study with a bright two-mode squeezed state. To properly take into account the imperfections in the generation of the quantum state, we extend our previous theoretical results to incorporate the measured properties of the generated quantum state. For our largest transmission level of 84%, we show a 62% reduction over the optimal classical protocol in the variance in transmission estimation when probing with a bright two-mode squeezed state with 8 dB of intensity-difference squeezing. Given that transmission estimation is an integral part of many sensing protocols, such as plasmonic sensing, spectroscopy, calibration of the quantum efficiency of detectors, etc., the results presented promise to have a significant impact on a number of applications in various fields of research.
description: 13 pages, 6 figures
Electrochemical Growth and Characterization of ZnO Nanorods on ITO Substrates, for Solar Cell Applications
Creators: name: Bubnova, X.
name: Peic, A.
name: Abermann, S.
name: Rennhofer, M.
name: Akbarzadeh, J.
name: Peterlik, H.
name: Irusta, L.
name: Ertl, P.
name: Zamini, S.
name: Brückl, H.
Publisher: name: WIP
Year: 2011
Subjects: Advanced Photovoltaics : New Concepts and Ultra-High Efficiency
New Materials, Cells and Modules

description: 26th European Photovoltaic Solar Energy Conference and Exhibition; 483-486
description: In this paper we investigate electrodeposited ZnO nanorods (NRs) on tin doped indium oxide (ITO)-coated
glass for solar cells, targeted to incorporate metalorganic dyes, quantum dots or an extra thin absorber layer. The
introduction of the NRs into such a cell allows to improve the electron transport and to enhance the light harvesting
efficiency, providing at the same time a large three-dimensional interface. The NR morphology is therefore a key issue
towards the solar cell development and is highly dependent on the parameters of the fabrication process. We have
focused on the influence of the electrodeposition process parameters, namely the applied potential, concentration of
solution precursors, deposition temperature and time, on the morphology of the ZnO NRs. It was shown that the aspect
ratio of the NRs can be controlled by varying the concentrations of precursors in the solution, whereas their density
depends mostly on the applied voltage. The process temperature, on the other hand affects mostly the NR crystallinity.
The structural analysis revealed the competing NR growth from the early synthesis stages, giving rise to randomly
oriented NRs on ITO.
Enhancing the force sensitivity of squeezed light optomechanical interferometer
Creators: name: Subhash, Sreeshna
name: Das, Sanket
name: Dey, Tarak Nath
name: Li, Yong
name: Davuluri, Sankar
Publisher: name: arXiv
Year: 2022
Subjects: subject: Optics (physics.optics)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Application of frequency-dependent squeezed vacuum improves the force sensitivity of optomechanical interferometer beyond the standard quantum limit by a factor of $e^{-r}$, where $r$ is the squeezing parameter. In this work, we show that the application of squeezed light along with quantum optical restoring force can enhance the sensitivity beyond the standard quantum limit by a factor of $\sqrt{e^{-2r}ζ/4Δ}$, where $0< ζ/Δ<1$, with $ζ$ as the optomechanical cavity decay rate and $Δ$ as the detuning between cavity eigenfrequency and driving field. The technique described in this article is restricted to frequencies much smaller than the resonance frequency of the optomechanical mirror.
description: 7 pages, 4 figures
Optical Integration Improvements for Bifacial Cells
Creators: name: Voarino, P.
name: Stendera, J.
name: Auriac, N.
name: Pilat, E.
name: Guillerez, S.
Publisher: name: WIP
Year: 2011
Subjects: Components for PV Systems
PV Modules

description: 26th European Photovoltaic Solar Energy Conference and Exhibition; 3321-3324
description: The aim of the work is to improve the integration of bifacial cells into modules. Integration becomes
more and more a key process for photovoltaic modules. The efficiency of the cells keeps increasing each year;
therefore it is of importance that the optical architecture follows this trend. We propose special devices for
characterizing and developing new integration schemes of bifacial solar cells into modules. The challenge for
manufacturing photovoltaic modules is to maximize luminance on the front side but also on the rear side even under
direct irradiance. After simulations and experimental tests, we found an increase on cell efficiency of more than
1.5 % due to geometrical and material optimizations.
CELLO Measurements for Local and Global Characterization of Grid Finger, Contact, and Emitter Resistance Losses of Large Area Solar Cells
Creators: name: Carstensen, J.
name: Schütt, A.
name: Pape, A.
name: Föll, H.
Publisher: name: WIP-Munich
Year: 2010
Subjects: Wafer-Based Silicon Solar Cells and Materials Technology
Mono- and Multicrystalline Silicon Materials and Cells

description: 25th European Photovoltaic Solar Energy Conference and Exhibition / 5th World Conference on Photovoltaic Energy Conversion, 6-10 September 2010, Valencia, Spain; 2134-2137
description: CELLO voltage measurements allow already for a fully quantitative analysis of local ohmic losses but
the reasons for the ohmic losses could only be estimated from the shape of the loss structure. A better understanding
especially of the frequency dependency of the current transport through pn-junction, emitter, contact resistance, and
grid finger allows now for a direct correlation to these ohmic loss mechanisms. It is demonstrated on a large
multicrystalline Si solar cell with inhomogeneous sheet resistance of the emitter, to identify the reasons of different
serial resistance losses, e.g. distinguishing areas with high contact resistances or high sheet resistances. Further, an
impedance measurement and the fit to the standard 1D model is introduced to extract global serial resistance and
diode resistance.
A Two-Temperature Model of Magnetized Protostellar Outflows
Creators: name: Wang, Liang-Yao
name: Shang, Hsien
name: Krasnopolsky, Ruben
name: Chiang, Tzu-Yang
Publisher: name: arXiv
Year: 2015
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: We explore kinematics and morphologies of molecular outflows driven by young protostars using magnetohydrodynamic simulations in the context of the unified wind model of Shang et al. The model explains the observed high-velocity jet and low-velocity shell features. In this work we investigate how these characteristics are affected by the underlying temperature and magnetic field strength. We study the problem of a warm wind running into a cold ambient toroid by using a tracer field that keeps track of the wind material. While an isothermal equation of state is adopted, the effective temperature is determined locally based on the wind mass fraction. In the unified wind model, the density of the wind is cylindrically stratified and highly concentrated toward the outflow axis. Our simulations show that for a sufficiently magnetized wind, the jet identity can be well maintained even at high temperatures. However, for a high temperature wind with low magnetization, the thermal pressure of the wind gas can drive material away from the axis, making the jet less collimated as it propagates. We also study the role of the poloidal magnetic field of the toroid. It is shown that the wind-ambient interface becomes more resistant to corrugation when the poloidal field is present, and the poloidal field that bunches up within the toroid prevents the swept-up material from being compressed into a thin layer. This suggests that the ambient poloidal field may play a role in producing a smoother and thicker swept-up shell structure in the molecular outflow.
description: 25 pages, 9 figures, accepted for publication in ApJ
Progress in Thin Film Encapsulation Technology – Advanced Moisture Barriers Films
Creators: name: Ryabova, E.
name: Skumanich, A.
name: Shkolnikov, M.
Publisher: name: WIP
Year: 2011
Subjects: Advanced Photovoltaics : New Concepts and Ultra-High Efficiency
New Materials, Cells and Modules

description: 26th European Photovoltaic Solar Energy Conference and Exhibition; 495-497
description: Highly scalable disruptive thin film deposition technology is developed and validated based on a
modified sol-gel method in response to PV-industry quest for the high quality-low cost methods of fabricating PVcell
structures. This “liquid” based approach is envisioned to replace currently used encapsulants to enable high
throughput conveyer type processing of PV-cells with enhanced performance due to the outstanding purity,
uniformity and extended light management capability of this method. Solution Derived Nanocomposite (SDN)
technology offers an unmatched potential for moisture barrier materials design and engineering in terms of
composition and microstructure without using cost prohibitive solutions. Wide variety of layer compounds can be
formed, free from residual byproduct intoxication of the cell. SDN encapsulating technology demonstrated the
necessary capability to produce protective moisture barrier layer on top of TFPV-structure without compromising its’
as-produced power conversion efficiency. This layer can minimize environmental impact and weathering-caused
TFPV-cell performance deterioration. SDN films satisfy the requirements in regard to the damp heat (85/85) test and
UV resistance verification, and are lower cost.
DAIDALOS – A Plugin Based Framework for Extendable Ray Tracing
Creators: name: Holst, H.
name: Altermatt, P.P.
name: Brendel, R.
Publisher: name: WIP-Munich
Year: 2010
Subjects: Wafer-Based Silicon Solar Cells and Materials Technology
Mono- and Multicrystalline Silicon Materials and Cells

description: 25th European Photovoltaic Solar Energy Conference and Exhibition / 5th World Conference on Photovoltaic Energy Conversion, 6-10 September 2010, Valencia, Spain; 2150-2153
description: Available ray tracers are usually written as monolithic applications where the user cannot extend the
simulation model. Additionally, ray tracers suitable for solar cells, are usually made for classical optical systems,
whereas many effects in solar cells cannot be simulated with such systems: for example, luminescent materials
require dynamic light sources, whose intensity depends on the earlier event of absorbing a photon. To overcome
these commonly experienced limitations, we have developed a ray tracing framework called DAIDALOS, with the
major goal of extensibility. Each element of a simulation (e.g. materials, geometries, surface-effects) is represented
by a single plugin. Almost arbitrary effects can be added and modeled by user-written plugins without knowing the
source-code of the framework.
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks
Creators: name: Deng, Chenhui
name: Li, Xiuyu
name: Feng, Zhuo
name: Zhang, Zhiru
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Graph neural networks (GNNs) have been increasingly deployed in various applications that involve learning on non-Euclidean data. However, recent studies show that GNNs are vulnerable to graph adversarial attacks. Although there are several defense methods to improve GNN robustness by eliminating adversarial components, they may also impair the underlying clean graph structure that contributes to GNN training. In addition, few of those defense models can scale to large graphs due to their high computational complexity and memory usage. In this paper, we propose GARNET, a scalable spectral method to boost the adversarial robustness of GNN models. GARNET first leverages weighted spectral embedding to construct a base graph, which is not only resistant to adversarial attacks but also contains critical (clean) graph structure for GNN training. Next, GARNET further refines the base graph by pruning additional uncritical edges based on probabilistic graphical model. GARNET has been evaluated on various datasets, including a large graph with millions of nodes. Our extensive experiment results show that GARNET achieves adversarial accuracy improvement and runtime speedup over state-of-the-art GNN (defense) models by up to 13.27% and 14.7x, respectively.
description: Published as a conference paper at LoG 2022
Score vs. Winrate in Score-Based Games: which Reward for Reinforcement Learning?
Creators: name: Pasqualini, Luca
name: Amato, Gianluca
name: Fantozzi, Marco
name: Gini, Rosa
name: Marchetti, Alessandro
name: Metta, Carlo
name: Morandin, Francesco
name: Parton, Maurizio
Publisher: name: arXiv
Year: 2022
Subjects: subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences
subject: I.2.6

description: In the last years, the DeepMind algorithm AlphaZero has become the state of the art to efficiently tackle perfect information two-player zero-sum games with a win/lose outcome. However, when the win/lose outcome is decided by a final score difference, AlphaZero may play score-suboptimal moves because all winning final positions are equivalent from the win/lose outcome perspective. This can be an issue, for instance when used for teaching, or when trying to understand whether there is a better move. Moreover, there is the theoretical quest for the perfect game. A naive approach would be training an AlphaZero-like agent to predict score differences instead of win/lose outcomes. Since the game of Go is deterministic, this should as well produce an outcome-optimal play. However, it is a folklore belief that "this does not work". In this paper, we first provide empirical evidence for this belief. We then give a theoretical interpretation of this suboptimality in general perfect information two-player zero-sum game where the complexity of a game like Go is replaced by the randomness of the environment. We show that an outcome-optimal policy has a different preference for uncertainty when it is winning or losing. In particular, when in a losing state, an outcome-optimal agent chooses actions leading to a higher score variance. We then posit that when approximation is involved, a deterministic game behaves like a nondeterministic game, where the score variance is modeled by how uncertain the position is. We validate this hypothesis in AlphaZero-like software with a human expert.
description: Published at 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA). This version (v2) is a major revision and superseeds version v1
Quantification of Human Movement for Assessment in Automated Exercise Coaching
Creators: name: Hagler, Stuart
name: Jimison, Holly B.
name: Bajczy, Ruzena
name: Pavel, Misha
Publisher: name: arXiv
Year: 2016
Subjects: subject: Medical Physics (physics.med-ph)
subject: Quantitative Methods (q-bio.QM)
subject: FOS: Physical sciences
subject: FOS: Biological sciences

description: Quantification of human movement is a challenge in many areas, ranging from physical therapy to robotics. We quantify of human movement for the purpose of providing automated exercise coaching in the home. We developed a model-based assessment and inference process that combines biomechanical constraints with movement assessment based on the Microsoft Kinect camera. To illustrate the approach, we quantify the performance of a simple squatting exercise using two model-based metrics that are related to strength and endurance, and provide an estimate of the strength and energy-expenditure of each exercise session. We look at data for 5 subjects, and show that for some subjects the metrics indicate a trend consistent with improved exercise performance.
description: 4 pages, 4 figures
Global sensitivity analysis based on Gaussian-process metamodelling for complex biomechanical problems
Creators: name: Wirthl, Barbara
name: Brandstaeter, Sebastian
name: Nitzler, Jonas
name: Schrefler, Bernhard A.
name: Wall, Wolfgang A.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computational Engineering, Finance, and Science (cs.CE)
subject: FOS: Computer and information sciences

description: Biomechanical models often need to describe very complex systems, organs or diseases, and hence also include a large number of parameters. One of the attractive features of physics-based models is that in those models (most) parameters have a clear physical meaning. Nevertheless, the determination of these parameters is often very elaborate and costly and shows a large scatter within the population. Hence, it is essential to identify the most important parameter for a particular problem at hand. In order to distinguish parameters which have a significant influence on a specific model output from non-influential parameters, we use sensitivity analysis, in particular the Sobol method as a global variance-based method. However, the Sobol method requires a large number of model evaluations, which is prohibitive for computationally expensive models. We therefore employ Gaussian processes as a metamodel for the underlying full model. Metamodelling introduces further uncertainty, which we also quantify. We demonstrate the approach by applying it to two different problems: nanoparticle-mediated drug delivery in a multiphase tumour-growth model, and arterial growth and remodelling. Even relatively small numbers of evaluations of the full model suffice to identify the influential parameters in both cases and to separate them from non-influential parameters. The approach also allows the quantification of higher-order interaction effects. We thus show that a variance-based global sensitivity analysis is feasible for computationally expensive biomechanical models. Different aspects of sensitivity analysis are covered including a transparent declaration of the uncertainties involved in the estimation process. Such a global sensitivity analysis not only helps to massively reduce costs for experimental determination of parameters but is also highly beneficial for inverse analysis of such complex models.
title: Édition TEI de la pièce Ploutos d’Aristophane (Ve siècle avant J.-C.), traduite par Anne Dacier (1645-1720), 1684
title: Edition in TEI format of the play Ploutos by Aristophanes (5th century BC), translated by Anne Dacier (1645-1720), 1684
Creators: name: Bastin-Hammou, Malika
name: Aristophane (C. 446 – C. 386 BC)
name: Anne Dacier (Traducteur)
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2024
Subjects: subject: TEI
subject: Traduction
subject: Aristophane
subject: français (langue)
subject: XVIIe siècle
subject: TEI
subject: translation
subject: Aristophanes
subject: 17th century
subject: french
subject: Theater–Greece
subject: 17th century
subject: French language

description: La présente édition s’inscrit dans le cadre du projet Translatoscope de l'Université Grenoble Alpes, dédié à l'étude de l’histoire des traductions d’Aristophane. L’encodage du texte a été réalisé en suivant les recommandations de la Text Encoding Initiative (http://www.tei-c.org/Guidelines/P5/).
description: This edition is part of the Translatoscope project at Grenoble Alpes University, dedicated to the study of the history of translations of Aristophanes. The text has been encoded in accordance with the recommendations of the Text Encoding Initiative (http://www.tei-c.org/Guidelines/P5/).
PhysFad: Physics-Based End-to-End Channel Modeling of RIS-Parametrized Environments with Adjustable Fading
Creators: name: Faqiri, Rashid
name: Saigre-Tardif, Chloé
name: Alexandropoulos, George C.
name: Shlezinger, Nir
name: Imani, Mohammadreza F.
name: del Hougne, Philipp
Publisher: name: arXiv
Year: 2022
Subjects: subject: Information Theory (cs.IT)
subject: Signal Processing (eess.SP)
subject: Applied Physics (physics.app-ph)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Physical sciences

description: Programmable radio environments parametrized by reconfigurable intelligent surfaces (RISs) are emerging as a new wireless communications paradigm, but currently used channel models for the design and analysis of signal-processing algorithms cannot include fading in a manner that is faithful to the underlying wave physics. To overcome this roadblock, we introduce a physics-based end-to-end model of RIS-parametrized wireless channels with adjustable fading (coined PhysFad) which is based on a first-principles coupled-dipole formalism. PhysFad naturally incorporates the notions of space and causality, dispersion (i.e., frequency selectivity) and the intertwinement of each RIS element's phase and amplitude response, as well as any arising mutual coupling effects including long-range mesoscopic correlations. PhysFad offers the to-date missing tuning knob for adjustable fading. We thoroughly characterize PhysFad and demonstrate its capabilities for a prototypical problem of RIS-enabled over-the-air channel equalization in rich-scattering wireless communications. We also share a user-friendly version of our code to help the community transition towards physics-based models with adjustable fading.
description: 30 pages, 7 figures, submitted to an IEEE Journal
Tracing the Chromospheric and Coronal Magnetic Field with AIA, IRIS, IBIS, and ROSA Data
Creators: name: Aschwanden, M. J.
name: Reardon, K.
name: Jess, D.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: The aim of this study is to explore the suitability of chromospheric images for magnetic modeling of active regions. We use high-resolution images (0.1") from the Interferometric Bidimensional Spectrometer (IBIS) in the Ca II 8542 A line, the Rapid Oscillations in the Solar Atmosphere (ROSA) instrument in the H-alpha 6563 A line, the Interface Region Imaging Spectrograph (IRIS) in the 2796 A line, and compare non-potential magnetic field models obtained from those chromospheric images with those obtained from images of the Atmospheric Imaging Assembly (AIA) in coronal (171 A, etc.) and in chromospheric (304 A) wavelengths. Curvi-linear structures are automatically traced in those images with the OCCULT-2 code, to which we forward-fitted magnetic field lines computed with the Vertical-Current Approximation Non-Linear Force Free Field (VCA-NLFFF) code. We find that the chromospheric images: (1) reveal crisp curvi-linear structures (fibrils, loop segments, spicules) that are extremely well-suited for constraining magnetic modeling; (2) that these curvi-linear structures are field-aligned with the best-fit solution by a median misalignment angle of ~4-7 deg; (3) the free energy computed from coronal data may underestimate that obtained from cromospheric data by a factor of ~ 2-4, (4) the height range of chromospheric features is confined to h ~ 4000$ km, while coronal features are detected up to h ~ 35,000$ km; and (5) the plasma-beta parameter is beta ~ 10^(-5)-10^(-1) for all traced features. We conclude that chromospheric images reveal important magnetic structures that are complementary to coronal images and need to be included in comprehensive magnetic field models, a quest that is not accomodated in standard NLFFF codes.
description: 29 pages, 11 figures
Critical density triplets for the arrestment of a sphere falling in a sharply stratified fluid
Creators: name: Camassa, Roberto
name: Ding, Lingyun
name: McLaughlin, Richard M.
name: Overman, Robert
name: Parker, Richard
name: Vaidya, Ashwin
Publisher: name: arXiv
Year: 2022
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: Analysis of PDEs (math.AP)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: We study the motion of a rigid sphere falling in a two-layer stratified fluid under the action of gravity in the potential flow regime. Experiments at a moderate Reynolds number of approximately 20 to 450 indicate that a sphere with the precise critical density, higher than the bottom layer density, can display behaviors such as bounce or arrestment after crossing the interface. We experimentally demonstrate that such a critical sphere density increases linearly as the bottom fluid density increases with a fixed top fluid density. Additionally, the critical density approaches the bottom layer fluid density as the thickness of density transition layer increases. We propose an estimation of the critical density based on the potential energy. With assuming the zero layer thickness, the estimation constitutes an upper bound of the critical density with less than 0.043 relative difference within the experimental density regime 0.997 $g/cm^{3}$ $\sim $ 1.11 $g/cm^{3}$ under the zero layer thickness assumption. By matching the experimental layer thickness, we obtain a critical density estimation with less than 0.01 relative difference within the same parameter regime.
Distributed Cooling in Sphelar® Modules
Creators: name: Taira, K.
name: Nakata, J.
name: Inagawa, I.
name: Ohtani, S.
name: Boddaert, S.
Publisher: name: WIP
Year: 2011
Subjects: Advanced Photovoltaics : New Concepts and Ultra-High Efficiency
New Materials, Cells and Modules

description: 26th European Photovoltaic Solar Energy Conference and Exhibition; 433-436
description: The performance of a PV module under real operating conditions cannot be simply inferred from the
rated one. One of the reasons is overheating the cells. Sphelar® cells measure a mere 1.8 mm across and are spaced
apart, which might permit generated heat to be dissipated efficiently. In this paper, thermal behavior of a laminatedglass
Sphelar® module is experimentally studied. For comparison, a commercially-available single-crystalline Si
glass module is also used. They are irradiated (irradiance 1kW/m2, AM1.5 spectrum) and their temperature rise is
dynamically determined during module heating by the measured values of open circuit voltages and infrared
thermography. Measurements have confirmed that the operating temperature of Sphelar® module following 33
minutes exposure is just only about 7ºC lower than that of the reference module. Infrared images suggest that the
operating temperature of the PVmodules is determined by the quantity of the deposited heat in the modules and poor
release of heat from the module surface. Smilar analysis on a bare mesh of Sphelar® cells reveals that efficient heat
dissipation due to distributed cooling is not fully realized without effort.
Probability of CME Impact on Exoplanets Orbiting M Dwarfs and Solar-Like Stars
Creators: name: Kay, C.
name: Opher, M.
name: Kornbleuth, M.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: Solar coronal mass ejections (CMEs) produce adverse space weather effects at Earth. Planets in the close habitable zone of magnetically active M dwarfs may experience more extreme space weather than at Earth, including frequent CME impacts leading to atmospheric erosion and leaving the surface exposed to extreme flare activity. Similar erosion may occur for hot Jupiters with close orbits around solar-like stars. We have developed a model, Forecasting a CME's Altered Trajectory (ForeCAT), which predicts a CME's deflection. We adapt ForeCAT to simulate CME deflections for the mid-type M dwarf V374 Peg and hot Jupiters with solar-type hosts. V374 Peg's strong magnetic fields can trap CMEs at the M dwarfs's Astrospheric Current Sheet, the location of the minimum in the background magnetic field. Solar-type CMEs behave similarly, but have much smaller deflections and do not get trapped at the Astrospheric Current Sheet. The probability of planetary impact decreases with increasing inclination of the planetary orbit with respect to the Astrospheric Current Sheet - 0.5 to 5 CME impacts per day for M dwarf exoplanets, 0.05 to 0.5 CME impacts per day for solar-type hot Jupiters. We determine the minimum planetary magnetic field necessary to shield a planet's atmosphere from the CME impacts. M dwarf exoplanets require values between tens and hundreds of Gauss. Hot Jupiters around a solar-type star, however, require a more reasonable <30 G. These values exceed the magnitude required to shield a planet from the stellar wind, suggesting CMEs may be the key driver of atmospheric losses.
description: Accepted in ApJ
Feedback Lock-in: A versatile multi-terminal measurement system for electrical transport devices
Creators: name: Barnard, Arthur W.
name: Mikheev, Evgeny
name: Finney, Joe
name: Hiller, Han S.
name: Goldhaber-Gordon, David
Publisher: name: arXiv
Year: 2022
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Instrumentation and Detectors (physics.ins-det)
subject: FOS: Physical sciences

description: We present the design and implementation of a measurement system that enables parallel drive and detection of small currents and voltages at numerous electrical contacts to a multi-terminal electrical device. This system, which we term a feedback lock-in, combines digital control-loop feedback with software-defined lock-in measurements to dynamically source currents and measure small, pre-amplified potentials. The effective input impedance of each current/voltage probe can be set via software, permitting any given contact to behave as an open-circuit voltage lead or as a virtually grounded current source/sink. This enables programmatic switching of measurement configurations and permits measurement of currents at multiple drain contacts without the use of current preamplifiers. Our 32-channel implementation relies on commercially available digital input/output boards, home-built voltage preamplifiers, and custom open-source software. With our feedback lock-in, we demonstrate differential measurement sensitivity comparable to a widely used commercially available lock-in amplifier and perform efficient multi-terminal electrical transport measurements on twisted bilayer graphene and $SrTiO_3$ quantum point contacts. The feedback lock-in also enables a new style of current-biased measurement which we demonstrate on a ballistic graphene device.
Synthesis and Characterizations of Bimuth Doped Zinc Oxide via Sol-Gel Technique for Solar Cells Applications
Creators: name: Fangsuwannarak, T.
name: Krongarrom, P.
name: Rattanachan, S.T.
Publisher: name: WIP
Year: 2011
Subjects: Advanced Photovoltaics : New Concepts and Ultra-High Efficiency
New Materials, Cells and Modules

description: 26th European Photovoltaic Solar Energy Conference and Exhibition; 470-473
description: In this paper, we prepared zinc oxide films doped by bismuth impurity from sol-gel process. The zinc
oxide films were synthesized by reacting zinc acetate dihydrate with bismuth nitrate pentahydrate at 80°C. Spin coating
technique and subsequent annealing process were exploited to form Bi-doped ZnO nanostructures. Evolution of Bidoped
ZnO nanostructures with Bi concentration is studied using X-ray diffraction (XRD), UV-Vis spectroscopy, and
scanning electron microscopy (SEM) techniques. At less than 1.0 at.% of Bi concentration, the Bi-doped ZnO films
annealed at 600°C indicated good preferential orientation along the (022) crystallographic direction normal to the film
surface with the grain size in the range of 15-20 nm. These results reveal that Bi atoms behave in-phase bonding with
ZnO nanostructures under the low percentage of Bi dopant atoms. It was noted that there is no intriguing change in band
gap with varying Bi concentrations in the range of 0.2-6.0 at.%. Nonetheless, the slight shift to blue wavelength side of
the optical band gap is not above 3.4 eV due to the weak confinement regime. The observed I-V data for Bi-doped ZnO
was successfully explained a number of multi-layers effects on electrical conductivity, in spite of its low conductivities
comparing with other TCOs.
Magneto-intersubband resistance oscillations in GaAs quantum wells placed in a tilted magnetic field
Creators: name: Mayer, William
name: Kanter, Jesse
name: Shabani, Javad
name: Vitkalov, Sergey
name: Bakarov, A. K.
name: Bykov, A. A.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: The magnetotransport of highly mobile 2D electrons in wide GaAs single quantum wells with three populated subbands placed in titled magnetic fields is studied. The bottoms of the lower two subbands have nearly the same energy while the bottom of the third subband has a much higher energy ($E_1\approx E_2<
description: 14 pages, 10 figures, to be published in Phys. Rev. B
B1MG D3.8 Documented best practices in sharing and linking phenotypic and genetic data —2v0
Creators: name: Pinto, Catia
name: Belien, Jeroen
name: Ligtvoet, Maarten
name: Urbini, Milena
name: Volkert, Pim
name: Gu, Wei
name: Tebaldi, Michela
name: Patocs, Attila
name: van der Velde, K.Joeri
name: Swertz, Morris
name: Van Gijn, Marielle,.E
name: Korbel, Jan O.
name: Padella, Antonella
name: Valencia, Alfonso
name: Muñoz, Adolfo
name: Pedrera, Miguel
name: Serrano, Pablo
name: Parra, Carlos
name: Beltran, Sergi
name: Groot, Harmke
name: Soares, Flávio
name: Lourenço, Inês
name: Kovač, Jernej
name: Hermansson, Ulrika
name: Lindholm, Evita
name: Mimouni, Yanis
name: Rath, Ana
name: Haddad, Tala
Publisher: name: Zenodo
Year: 2022
Subjects: B1MG
Beyond 1 Million Genomes
1+MG
1+Million Genomes initiative
ELIXIR
Best Practices
Phenotypic and genetic data
Data sharing
1+MG WG3

description: This is the second version of documented best practices in sharing and linking phenotypic and genetic data. It identifies and describes best practices on sharing and linking phenotypic and genetic data in both the health care sector as in the research setting to, as much as possible, avoid reinventing the wheel, learn from previous/current existing projects to improve performance and avoid mistakes made by others. The listed ’best practices’ have been identified by the 1+MG WG3 experts, who are nominated by the Member States, and are exemplary practices that have achieved results which could be used for larger scale cross-border initiatives.
Silver/Metallic Glass Paste for Shallow Emitter Si-Solar Cell
Creators: name: Kim, S.J.
name: Kim, S.Y.
name: Jee, S.S.
name: Park, J.M.
name: Koh, H.D.
name: Heo, J.N.
name: Choi, Y.-H.
name: Lim, K.R.
name: Kim, D.H.
name: Kim, W.T.
name: Lee, E.-S.
Publisher: name: WIP
Year: 2011
Subjects: Advanced Photovoltaics : New Concepts and Ultra-High Efficiency
New Materials, Cells and Modules

description: 26th European Photovoltaic Solar Energy Conference and Exhibition; 492-494
description: Cu and Al-based metallic glass (MG) frits have been applied as a substitution for oxide glass (OG) ones of screen printed Ag on Si solar cell. Use of electroconductive MG frits significantly improved the quality of
the contact. In case of Cu-Zr-based MG frits, highly dense 10–50 nm size Ag crystallites were formed and very shallow Ag crystallite penetration depth of 10–30 nm led to smooth interface. Nanoscale Ag crystallites form on the
emitter surface by local Si–Cu–Ag eutectic melting, leading to the formation of pyramidal pits on the Si emitter surface, followed by precipitation of Ag crystallites during cooling. The specific contact resistance (c) and electrical
resistivity () of Cu MG added electrode were 5.4 mΩcm2 and 2.3 μΩcm, respectively. The Al-based MG reduced the resistivities further down to 0.6 mΩcm2 and 3.2 μΩcm, respectively. The results are promising to replace metal plating technique to screen printing one.
Word Segmentation on Discovered Phone Units with Dynamic Programming and Self-Supervised Scoring
Creators: name: Kamper, Herman
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computation and Language (cs.CL)
subject: Sound (cs.SD)
subject: Audio and Speech Processing (eess.AS)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Recent work on unsupervised speech segmentation has used self-supervised models with phone and word segmentation modules that are trained jointly. This paper instead revisits an older approach to word segmentation: bottom-up phone-like unit discovery is performed first, and symbolic word segmentation is then performed on top of the discovered units (without influencing the lower level). To do this, I propose a new unit discovery model, a new symbolic word segmentation model, and then chain the two models to segment speech. Both models use dynamic programming to minimize segment costs from a self-supervised network with an additional duration penalty that encourages longer units. Concretely, for acoustic unit discovery, duration-penalized dynamic programming (DPDP) is used with a contrastive predictive coding model as the scoring network. For word segmentation, DPDP is applied with an autoencoding recurrent neural as the scoring network. The two models are chained in order to segment speech. This approach gives comparable word segmentation results to state-of-the-art joint self-supervised segmentation models on an English benchmark. On French, Mandarin, German and Wolof data, it outperforms previous systems on the ZeroSpeech benchmarks. Analysis shows that the chained DPDP system segments shorter filler words well, but longer words might require some external top-down signal.
description: 11 pages, 5 figures, 5 tables