gebhart/patrepeval huggingface dataset:
Automated Localization of a Mobile Construction Robot with an External Measurement Device (2019)

Automated Localization of a Mobile Construction Robot with an External Measurement Device Selen Ercan, Sandro Meier, Fabio Gramazio and Matthias Kohler Pages 929-936 (2019 Proceedings of the 36th ISARC, Banff, Canada, ISBN 978-952-69524-0-6, ISSN 2413-5844) Abstract: The localization of a robot is a crucial part of any task that involves the mobile manipulation of objects. The precise repositioning of a mobile robot within the workspace is particularly important for on-site construction in situations where the operating area is much larger than the reach of the robot arm. This research presents a localization method utilizing a generic surveying and measurement device – a robotic total station. The localization of the mobile robot in reference to the total station is investigated through the positioning of a reflector prism, mounted on the robot's end-effector, at different known locations in robot's coordinate frame. Through this localization method, the opportunity to remove the reliance on fixed reference points is tested in a large-scale outdoor experiment, which would alleviate the need for a full enclosure around the mobile robot to help constrain its pose. Keywords: On-site construction; Localization; External measurement systems DOI: https://doi.org/10.22260/ISARC2019/0124 Download fulltext Download BibTex Download Endnote (RIS) TeX Import to Mendeley
Flexible optical infrastructure for Ethernet transport: Solutions and enabling technologies in the ICT STRAUSS project (2014)

Cloud applications and the global delivery of Ethernet services require a scalable, reliable, virtualizable and cost/energy efficient optical transport infrastructure able to support data rates beyond 100 Gb/s. The ICT STRAUSS project addresses the requirement of future optical infrastructures for Ethernet transport beyond 100 Gb/s, by combining two network switching technologies, namely Optical Packet Switching (OPS) and flexible Optical Circuit Switching (OCS). In this paper, cost/energy-efficient solutions and technology enablers are presented, specifically dealing with data plane aspects, such as the design and development of sliceable bandwidth variable transponders (S-BVT), fixed-length variable-capacity OPS, flexi-grid optical switching nodes and OPS/OCS integrated interface.
A Non-Aqueous Asymmetric Cell with a Ti2C-Based Two-Dimensional Negative Electrode (2012)

A new MXene phase, Ti2C, obtained by aluminum extraction from Ti2AlC and exfoliation of the reaction product, was electrochemically studied vs. Lithium. Li-ions insertion into the 2-D structure was characterized by in situ XRD measurements. Additional electrochemical kinetic characterizations of Ti2C, using a cavity micro-electrode, showed that the electrochemical reactions involve two different phenomena: one diffusion-limited, the other not. A Ti2C/activated carbon asymmetric cell was assembled to highlight the high rate performance of the MXene. The cell was cycled between 1.0 V and 3.5 V, and showed good capacity retention during 1000 galvanostatic charge/discharge cycles at rates up to 10C.
Recommended approaches to the scientific evaluation of ecotoxicological hazards and risks of endocrine-active substances (2017)

A SETAC Pellston Workshop<sup>®</sup> "Environmental Hazard and Risk Assessment Approaches for Endocrine-Active Substances (EHRA)" was held in February 2016 in Pensacola, Florida, USA. The primary objective of the workshop was to provide advice, based on current scientific understanding, to regulators and policy makers; the aim being to make considered, informed decisions on whether to select an ecotoxicological hazard- or a risk-based approach for regulating a given endocrine-disrupting substance (EDS) under review. The workshop additionally considered recent developments in the identification of EDS. Case studies were undertaken on 6 endocrine-active substances (EAS-not necessarily proven EDS, but substances known to interact directly with the endocrine system) that are representative of a range of perturbations of the endocrine system and considered to be data rich in relevant information at multiple biological levels of organization for 1 or more ecologically relevant taxa. The substances selected were 17α-ethinylestradiol, perchlorate, propiconazole, 17β-trenbolone, tributyltin, and vinclozolin. The 6 case studies were not comprehensive safety evaluations but provided foundations for clarifying key issues and procedures that should be considered when assessing the ecotoxicological hazards and risks of EAS and EDS. The workshop also highlighted areas of scientific uncertainty, and made specific recommendations for research and methods-development to resolve some of the identified issues. The present paper provides broad guidance for scientists in regulatory authorities, industry, and academia on issues likely to arise during the ecotoxicological hazard and risk assessment of EAS and EDS. The primary conclusion of this paper, and of the SETAC Pellston Workshop on which it is based, is that if data on environmental exposure, effects on sensitive species and life-stages, delayed effects, and effects at low concentrations are robust, initiating environmental risk assessment of EDS is scientifically sound and sufficiently reliable and protective of the environment. In the absence of such data, assessment on the basis of hazard is scientifically justified until such time as relevant new information is available. Integr Environ Assess Manag 2017;13:267-279. © 2017 The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals, Inc. on behalf of Society of Environmental Toxicology & Chemistry (SETAC).
Power-Aware Global Signaling Strategies (2005)

The paper targets the rising power demands (both static and dynamic) of aggressive repeater usage for global interconnect. We describe three techniques to reduce both dynamic and static power consumption, including active mode leakage reduction. These techniques leverage new repeater designs, multiple voltage domains, and transition-awareness to improve upon the traditional repeater paradigm with little increase in design effort.
The Next Generation High Voltage Package and IGBT/Diode Technologies (2016)

In this paper, we introduce the next generation of insulated modules employing the recently developed chip technologies. We provide a brief overview of the Enhanced Trench ET-IGBT (TSPT+) and Field Charge Extraction FCE diode chip-set. The first HiPak modules with the new technologies are rated at 3300V/1800A for the (140x190) mm HiPak2 and 3300V/1200A for the (140x130) mm HiPak1. The new chip-set enables IGBT modules to provide improved levels of electrical performance in terms of low losses, good controllability, high robustness and soft diode recovery. To cover other advances in module and chip technologies, we will also discuss the next generation LinPak module and related chip technologies such as the SPT++ IGBTs.
Privacy preserving pregnancy weight gain management (2019)

Early gestational weight gain prediction can help expecting women overcome several associated risks. However, training the model requires access to centrally stored privacy sensitive weight and other meta-data. In this demo, we present a privacy preserving federated learning approach where we train a global weight gain prediction model by aggregating client models trained locally on their personal data. We showcase a software data-exploration tool that exhibits local model generation, sharing and updating across users and server for proposed collaborative learning. Our proposed model predicts the final weight category with 61.3% accuracy on day 140, with a 8.8% compromise on the centralized training accuracy.
<title>Incorporating content sensitivity into standard video compression algorithms</title> (2001)

Typical implementations of standard video compression algorithms use variance-based perceptual masking to adaptively vary the degree of compression noise to video content; the idea being that the human visual system is more sensitive to errors in low variance regions of the image. On a similar note, quality assessment algorithms employ similar spatial-frequency adaptive measures to judge compressed video quality. Such simplistic analysis leads to problems when we encounter "clean edges" in video (for example, text) which although classified as high frequency areas, are still very sensitive to compression noise. Such discrimination between "good" and "bad" texture is particularly important for low bit rate, internet video transmission. In this paper we will propose a novel, computationally simple scheme which further distinguishes between "clean" and "random" edges. By comparing the proposed algorithm with other standard texture classification schemes in literature, we will show that we obtain a substantial improvement in discriminatory ability, albeit at a much lower computational cost. Further more, we will show that the proposed scheme can be applied on a per macro-block basis, thus making it particularly suitable to drive standard, block based video compression algorithms such as H.261/3 or MPEG-1/2 which are quite popular.
Evaluating Gaming Detector Model Robustness Over Time (2022)

Research into "gaming the system" behavior in intelligent tutoring systems (ITS) has been around for almost two decades, and detection has been developed for many ITSs. Machine learning models can detect this behavior in both real-time and in historical data. However, intelligent tutoring system designs often change over time, in terms of the design of the student interface, assessment models, and data collection log schemas. Can gaming detectors still be trusted, a decade or more after they are developed? In this research, we evaluate the robustness/degradation of gaming detectors when trained on old data logs and evaluated on current data logs. We demonstrate that some machine learning models developed using past data are still able to predict gaming behavior from student data collected 16 years later, but that there is considerable variance in how well different algorithms perform over time. We demonstrate that a classic decision tree algorithm maintained its performance while more contemporary algorithms struggled to transfer to new data, even though they exhibited better performance on both new and old data alone. Examining the feature importances provides some explanation for the differences in performance between models, and offers some insight into how we might safeguard against detector rot over time.
Mobile field comparison test of LDM and TDM based on ATSC 3.0 (2017)

Advanced Television Systems Committee (ATSC) 3.0, which is the new international standard for next generation broadcasting, allows to deliver multiple services with different reception conditions in a single RF channel. In the physical layer standard of ATSC 3.0, two kind of multiplexing schemes are adopted: orthogonal schemes including traditional time division multiplexing (TDM) and frequency division multiplexing (FDM), and a newly introduced non-orthogonal scheme, named layered division multiplexing (LDM). In this paper, we consider two services configured by LDM and TDM based on the ATSC 3.0 standard. Field test results which evaluate the mobile performance of LDM and TDM are provided.
Learning a Generative Motion Model From Image Sequences Based on a Latent Motion Matrix (2021)

We propose to learn a probabilistic motion model from a sequence of images for spatio-temporal registration. Our model encodes motion in a low-dimensional probabilistic space - the motion matrix - which enables various motion analysis tasks such as simulation and interpolation of realistic motion patterns allowing for faster data acquisition and data augmentation. More precisely, the motion matrix allows to transport the recovered motion from one subject to another simulating for example a pathological motion in a healthy subject without the need for inter-subject registration. The method is based on a conditional latent variable model that is trained using amortized variational inference. This unsupervised generative model follows a novel multivariate Gaussian process prior and is applied within a temporal convolutional network which leads to a diffeomorphic motion model. Temporal consistency and generalizability is further improved by applying a temporal dropout training scheme. Applied to cardiac cine-MRI sequences, we show improved registration accuracy and spatio-temporally smoother deformations compared to three state-of-the-art registration algorithms. Besides, we demonstrate the model's applicability for motion analysis, simulation and super-resolution by an improved motion reconstruction from sequences with missing frames compared to linear and cubic interpolation.
Further evidence that the tyrosine phosphorylation of glycogen synthase kinase-3 (GSK3) in mammalian cells is an autophosphorylation event (2004)

Phosphorylation of the endogenous GSK3alpha (glycogen synthase kinase-3alpha) at Tyr279 and GSK3beta at Tyr216 was suppressed in HEK-293 or SH-SY5Y cells by incubation with pharmacological inhibitors of GSK3, but not by an Src-family inhibitor, 4-amino-5-(4-chlorophenyl)-7-(t-butyl)pyrazolo[3,4- d ]pyrimidine (PP2), or a general protein tyrosine kinase inhibitor (genistein). GSK3beta transfected into HEK-293 cells or Escherichia coli became phosphorylated at Tyr216, but catalytically inactive mutants did not. GSK3beta expressed in insect Sf 21 cells or E. coli was extensively phosphorylated at Tyr216, but the few molecules lacking phosphate at this position could autophosphorylate at Tyr216 in vitro after incubation with MgATP. The rate of autophosphorylation was unaffected by dilution and was suppressed by the GSK3 inhibitor kenpaullone. Wild-type GSK3beta was unable to catalyse the tyrosine phosphorylation of catalytically inactive GSK3beta lacking phosphate at Tyr216. Our results indicate that the tyrosine phosphorylation of GSK3 is an intramolecular autophosphorylation event in the cells that we have studied and that this modification enhances the stability of the enzyme.
Mechanism of Sequence-Specific Fluorescent Detection of DNA by N-Methyl-imidazole, N-Methyl-pyrrole, and β-Alanine Linked Polyamides (2004)

The fluorescence from the tetramethylrhodamine (TMR) moiety in hairpin polyamide−TMR conjugates is quenched in solution, but restored upon sequence-specific binding to doubled-stranded DNA. This fluorescence amplification when bound to the target DNA sequence makes polyamide−TMR conjugates potentially useful for the detection of specific DNA sequences in homogeneous solution. Time-resolved and steady-state spectroscopic measurements indicate that a ground-state complex forms between the TMR and polyamide functionalities in the absence of DNA. This intramolecular complex likely facilitates electron transfer from the polyamide N-methyl-pyrrole moieties to the TMR excited state, quenching fluorescence. Binding of the polyamide−TMR probe to the target DNA sequence disrupts the TMR−polyamide interaction, resulting in the observed fluorescence increase.
"Co-riding With My eBike to Get Green Lights" (2019)

Researchers are increasingly exploring interactive technology supporting human-system partnership in an exertion context, such as cycling. So far, most investigations have supported the rider cognitively, by the system "sensing and presenting" information to assist the rider to make informed decisions. In contrast, we propose systems that promote user-system co-operation, by "sensing and acting" on information to assist the rider, not only "cognitively" but also "physically", with the aim of facilitating user-system co-operation in an exertion context. Our prototype, "Ari", is a novel augmented eBike designed to facilitate user-system co-operation, where the information that each party can sense is used in regulating the speed to cross all traffic lights on green. A study with 20 bike riders resulted in five themes and six design tactics to further the design of interactive systems at the intersection of human-computer integration in an exertion context, thereby facilitating user-system co-operation to augment the exertion experience.
Highly reliable ferroelectric memories using BLT thin films and robust integration schemes (2002)

We report on highly reliable characteristics of 1-Mb ferroelectric memories based on 0.35-μm CMOS technology ensuring ten-year retention and imprint at 175/spl deg/C, which have been successfully developed for the first time. This excellent reliability resulted from newly developed [Bi/sub 1-x/La/sub x/] <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</sub> Ti <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> O/sub 12/ (BLT) ferroelectric films with superior reliability performance at high temperatures, and also resulted from robust integration schemes free from ferroelectric degradation due to process impurities such as moisture and hydrogen.
Electrical characterization of wafer-scale epitaxial graphene and its RF applications (2011)

Summary form only given, as follows. High-performance graphene field-effect transistors are fabricated on two-inch graphene-on-SiC wafers. Epitaxial graphene was synthesized on SiC wafers by thermal annealing to form one to two layers of graphene. The graphene transistors possess high current density of 1mA/µm, and a cut-off frequency of 170 GHz is achieved for graphene FETs with a gate length of 90 nm. These results unravel the great potential of graphene for future RF applications.
Freestanding loadbearing structures with Z-shaped particles (2015)

Architectural structures such as masonry walls or columns exhibit a slender verticality, in contrast to the squat, sloped forms obtained with typical unconfined granular materials. Here we demonstrate the ability to create freestanding, weight-bearing, similarly slender and vertical structures by the simple pouring of suitably shaped dry particles into a mold that is subsequently removed. Combining experiments and simulations we explore a family of particle types that can entangle through their non-convex, hooked shape. We show that Z-shaped particles produce granular aggregates which can either be fluid and pourable, or solid and rigid enough to maintain vertical interfaces and build freestanding columns of large aspect ratio (&gt;10) that support compressive loads without external confinement. We investigate the stability of such columns with uniaxial compression, bending, and vibration tests and compare with other particle types including U-shaped particles and rods. We find a pronounced anisotropy in the internal stress propagation together with strong strain-stiffening, which stabilizes rather than destabilizes the structures under load.
Mechanism of Catalytic Oxygenation of Alkanes by Halogenated Iron Porphyrins (1994)

Halogenation of an iron porphyrin causes severe saddling of the macrocyclic structure and a large positive shift in the iron(III)/(II) redox couple. Although pre-halogenated iron(II) porphyrins such as Fe(TFPPBr8) [H2TFPPBr8, beta-octabromo-tetrakis(pentafluorophenyl)-porphyrin] are relatively resistant to autoxidation, they rapidly reduce alkyl hydroperoxides. These and related reactivity studies suggest that catalysis of alkane oxygenation by Fe(TFPPBr8)Cl occurs through a radical-chain mechanism in which the radicals are generated by oxidation and reduction of alkyl hydroperoxides.
Assessment of linear regression techniques for modeling multisensor data for non-invasive continuous glucose monitoring (2011)

New scenarios in diabetes treatment have been opened in the last ten years by continuous glucose monitoring (CGM) sensors. In particular, Non-Invasive CGM sensors are particularly appealing, even though they are still at an early stage of development. Solianis Monitoring AG (Zürich, Switzerland) has proposed an approach based on a multisensor concept, embedding primarily dielectric spectroscopy and optical sensors. This concept requires a mathematical model able to reconstruct the glucose concentration from the 150 channels measured with the device. Assuming a multivariate linear regression model (valid and usable for different individuals), the aim of this paper is the assessment of some techniques usable for determining such a model, namely Ordinary Least Squares (OLS), Partial Least Squares (PLS) and Least Absolute Shrinkage and Selection Operator (LASSO). Once the model is identified on a training set, the accuracy of prospective glucose profiles estimated from "unseen" multisensor data is assessed. Preliminary results obtained from 18 in-clinic study days show that sufficiently accurate reconstruction of glucose levels can be achieved if suitable model identification techniques, such as LASSO, are considered.
Allosteric interactions between capping enzyme subunits and the RNA polymerase II carboxy-terminal domain (1998)

mRNA capping is a cotranscriptional event mediated by the association of capping enzyme with the phosphorylated carboxy-terminal domain (CTD) of RNA polymerase II. In the yeast Saccharomyces cerevisiae, capping enzyme is composed of two subunits, the mRNA 5'-triphosphatase (Cet1) and the mRNA guanylyltransferase (Ceg1). Here we map interactions between Ceg1, Cet1, and the CTD. Although the guanylyltransferase subunit can bind alone to the CTD, it cannot be guanylylated unless the triphosphatase subunit is also present. Therefore, the yeast mRNA guanylyltransferase is regulated by allosteric interactions with both the triphosphatase and CTD.
Preparation of Porous Poly(styrene-co-divinylbenzene) Monoliths with Controlled Pore Size Distributions Initiated by Stable Free Radicals and Their Pore Surface Functionalization by Grafting (2001)

A stable free radical (SFR) mediated preparation of porous poly(styrene-co-divinylbenzene) monoliths using new types of SFRs and a novel binary porogenic solvent consisting of poly(ethylene glycol) and 1-decanol has been studied. Polymerizations carried out in the presence of 3-carboxy-2,2,5,5-tetramethylpyrrolidinyl-1-oxy (3-carboxy-PROXYL) or 4-carboxy-2,2,6,6-tetramethylpiperidinyl-1-oxy (4-carboxy-TEMPO) were faster, and higher degrees of monomer conversions were achieved in a shorter period of time compared to the corresponding reactions mediated by 2,2,6,6-tetramethylpiperidinyl-1-oxy (TEMPO). The effect of the type of SFR (TEMPO, 3-carboxy-PROXYL, 4-carboxy-TEMPO, 4-amino-TEMPO, 4-acetamido-TEMPO, and 4-trimethylammonio-TEMPO iodide) on the pore size distribution was also investigated. The use of carboxy functional SFRs simultaneously accelerated the reaction kinetics, improved the permeability of the prepared monoliths, and enabled control of the porous properties of the monolithic polymers over a wide range simply by modifying the ratio of poly(ethylene glycol) 400 and 1-decanol in the porogenic mixture. The reinitiation capability of poly(styrene-co-divinylbenzene) monoliths capped with 3-carboxy-PROXYL or 4-carboxy-TEMPO moieties was utilized to perform in situ grafting of 2-hydroxyethyl methacrylate and 3-sulfopropyl methacrylate, resulting in monoliths with altered surface polarities.
Near-field characterization of photonic crystal components (2006)

In this paper, we have employed a collection scanning near-field optical microscope (SNOM) for imaging of the propagation of light at telecommunication wavelengths along straight and bent photonic crystal (PC) waveguides with Y-splitters, Z-bends and simple couplers that were fabricated on silicon-on-insulator (SOl) wafers
Sorting the wheat from the chaff in dopamine neuron-based cell therapies (2015)

Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans the biological, physical, and social sciences.