gebhart/patrepeval huggingface dataset:
Becoming increasingly reliable (1994)

Autonomous mobile robots need to detect potential failures reliably and react appropriately. Due to uncertainties about the robots and their environment, it is extremely difficult to design reliable systems from the start. Instead, we advocate the structured control methodology, in which one starts with plans that work in nominal situations, and then incrementally adds reactive behaviors to handle previously unanticipated situations. We have developed the Task Control Architecture to facilitate this methodology by enabling monitors and exception handlers to be added to existing hierarchical plans. This paper details the application of this methodology to a walking rover and an indoor office robot. In both cases, robot systems were produced that can autonomously traverse long distances in obstacle-filled environments.
A Lattice-Based Semantic Location Model for Indoor Navigation (2008)

Location models play an important role in location- based services (LBSs), because LBSs require a well-defined representation of location knowledge to support location browsing, navigation and query processing. Current location models can be divided into two categories: symbolic and geometric. Symbolic models try to represent the semantic relationships between entities, and geometric models are based on geometric coordinates and Euclidean distance. In this paper, we propose a lattice-based semantic location model (LSLM) for the indoor environment. LSLM is based on the exit-location model and the theory of "formal concept analysis." The model can provide an explicit representation of the basic relationships between two entities such as containment and overlap. The nearest neighbor relationship on the concept lattice is used to define the optimal distance between two entities. Furthermore, the dual (location/exit) property of the model can cater for different navigation needs. We provide examples to show the effectiveness of our model.
Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017 (2018)

Bill & Melinda Gates Foundation.
Wind Turbine Gearbox Fault Diagnosis Using Adaptive Morlet Wavelet Spectrum (2009)

Fault diagnosis of a wind turbine gearbox is important to extend the wind turbine system’s reliability and useful life. Vibration signals from a gearbox are usually noisy. As a result, it is difficult to find early symptoms of a potential failure in a gearbox. A novel method based on adaptive Morlet wavelet filter for the crack tooth of wind turbine gearbox is presented. In the proposed method, the first step is to optimize the parameters in the Morlet wavelet function based on the kurtosis maximization principle and then use it to filter the gearbox fault resonance features to extract the impulse features; the next step, an averaged autocorrelation spectrum is adopted to highlight the impulsive characteristics related to crack tooth conditions. The performance of this proposed technique is examined by the collected signals corresponding to crack tooth conditions. Test results show that this technique is an effective method in detection of symptoms from vibration signals of a gearbox with early fatigue tooth crack.
Small-tilt micromirror-device-based multiwavelength three-dimensional 2×2 fiber optic switch structures (2000)

Small-tilt micromirror-based 2x2 fiber optic switch array structures are proposed using fixed mirrors and fiber interconnections. A multiwavelength 2x2 fiber optic switch based on this small-tilt micromirror is experimentally demonstrated. The key innovation in this architecture is the use of a specially located fixed mirror to form a symmetric 2x2 retroreflective switching structure. These 2x2 fiber optic switch structures can also provide a fault-tolerant design using a macropixel approach. A two-dimensional digital micromirror device (2D-DMD) from Texas Instruments (TI) designed to operate in the visible band is used to represent the small-tilt micromirrors in our experimental demonstration. Multiwavelength switch operation is characterized by changing the operating wavelength of the tunable laser. The measured average optical coherent crosstalk is -22 dB with +/-0.9 dB fluctuation over 40 nm, limited by the on-off ratio of the 2D-DMD. The measured average optical loss is 14.8 dB at a 1.55-mu m operating wavelength, limited by the visible wavelength design TI 2D-DMD, three-port optical circulators, fiber adapters, and free-space-to-fiber coupling efficiency.
Origin of Nanobubble - Formation of Stable Vacancy in Electrolyte Solution (2009)

As an elementary structure of nanobubbles, vacancy, i.e., a kind of vacuum void stably exists in a liquid electrolyte solution, which is composed of an inner wall negatively charged by anion and a positively charged ionic atmosphere (R. Aogaki, Electrochemistry 76, 458 (2008)). As a result, a strong repulsing pressure induced by the attraction of the ionic atmosphere is balanced with the action of surface tension. Coalescence of vacancies guarantees the same structure as vacancy, so that the internal pressure of nano-bubbles is kept low, almost equal to the atmospheric pressure. At the same time, the variation in the chemical potential of the homogeneous formation of nano-bubbles is calculated, and it is shown that after passing a critical state corresponding to a radius of 1 nm, nanobubbles are stably created.
Simulation model of a predator‐prey system comprised of <i>Phytoseiulus persimilis</i> and <i>Tetranychus urticae</i>. II. Model sensitivity to variations in the life history parameters of both species and to variations in the functional response and components of the numerical response (1985)

Summary A detailed sensitivity analysis of a model of a predator‐prey system comprised of Tetranychus urticae and Phytoseiulus persimilis was performed. The aim was to assess the relative importance of the life history parameters of both species, the functional response, and the components of the numerical response. In addition, the impact of the initial predator‐prey ratio and the timing of predator introduction were tested. Results indicated that the most important factors in the system were relative rates of predator and prey development, the time of onset of predator oviposition, and the mode of the predator's oviposition curve. The total oviposition of the predator, the effect of prey consumption on predator oviposition, and predator searching were important under some conditions. Factors of moderate importance were the adult female predator's functional response, total prey oviposition, the mode of the prey's oviposition curve, abiotic mortality of the pre‐adult predator, and the effect of prey consumption on predator development and on the immature predator's mortality. Factors of least importance were the variances of the predator's and prey's oviposition curves, the abiotic mortality of the adult predator, the abiotic mortality of the pre‐adult and adult prey, the functional response of the nymphal and adult male predators, and the effect of prey consumption on adult predator mortality. The sex ratios had little effect, except when the proportion of female predators was very low. The initial predator‐prey ratio and time of predator introduction had significant impacts on system behavior, though the patterns of impact were different.
Oxidized Human Neuroglobin Acts as a Heterotrimeric Gα Protein Guanine Nucleotide Dissociation Inhibitor (2003)

Neuroglobin (Ngb) is a newly discovered vertebrate heme protein that is expressed in the brain and can reversibly bind oxygen. It has been reported that Ngb expression levels increase in response to oxygen deprivation and that it protects neurons from hypoxia in vitro and in vivo. However, the mechanism of this neuroprotection remains unclear. In the present study, we tried to clarify the neuroprotective role of Ngb under oxidative stress in vitro. By surface plasmon resonance, we found that ferric Ngb, which is generated spontaneously as a result of the rapid autoxidation, binds exclusively to the GDP-bound form of the alpha subunit of heterotrimeric G protein (Galphai). In GDP dissociation assays or guanosine 5'-O-(3-thio)triphosphate binding assays, ferric Ngb behaved as a guanine nucleotide dissociation inhibitor (GDI), inhibiting the rate of exchange of GDP for GTP. The interaction of GDP-bound Galphai with ferric Ngb will liberate Gbetagamma, leading to protection against neuronal death. In contrast, ferrous ligand-bound Ngb under normoxia did not have GDI activities. Taken together, we propose that human Ngb may be a novel oxidative stress-responsive sensor for signal transduction in the brain.
Molecular Wipes: Application to Epidemic Keratoconjuctivitis (2011)

Epidemic keratoconjunctivitis (EKC) is a severe disease of the eye, caused by members of the Adenoviridae (Ad) family, with symptoms such as keratitis, conjunctivitis, pain, edema, and reduced vision that may last for months or years. There are no vaccines or antiviral drugs available to prevent or treat EKC. It was found previously that EKC-causing Ads use sialic acid as a cellular receptor and demonstrated that soluble, sialic acid-containing molecules can prevent infection. In this study, multivalent sialic acid constructs based on 10,12-pentacosadiynoic acid (PDA) have been synthesized, and these constructs are shown to be efficient inhibitors of Ad binding (IC(50) = 0.9 μM) and Ad infectivity (IC(50) = 0.7 μM). The mechanism of action is to aggregate virus particles and thereby prevent them from binding to ocular cells. Such formulations may be used for topical treatment of adenovirus-caused EKC.
Isolation of New Aliphatic Sulfates and Sulfamate as the Daphnia Kairomones Inducing Morphological Change of a Phytoplankton Scenedesmus gutwinskii (2008)

New aliphatic sulfates and sulfamates were isolated from Daphnia pulex as the Daphnia kairomones that induced morphological defense of a freshwater phytoplankton Scenedesmus gutwinskii var. heterospina (NIES-802). Their structures were determined by spectroscopic and synthetic studies.
Developments in Pd Catalysis: Synthesis of 1<i>H</i>‐1,2,3‐Triazoles from Sodium Azide and Alkenyl Bromides (2006)

Another star for the Palladium: The discovery of reactions promoted by the ubiquitous Pd0 catalysts is still possible. 1H-1,2,3-Triazoles are directly obtained by reaction of alkenyl bromides and sodium azide in the presence of a Pd0–xantphos catalyst (see scheme, xantphos=9,9-dimethyl-4,5-bis(diphenylphosphino)xanthene, dba=trans,trans-dibenzylideneacetone). Supporting information for this article is available on the WWW under http://www.wiley-vch.de/contents/jc_2002/2006/z601045_s.pdf or from the author. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
A Formation of Pyrrolo[2,1-a]isoquinoline Derivatives by the Reaction of Isoquinoline N-Oxides with Ethyl Propiolate (1982)

Diethyl pyrrolo[Z,l-alisoquinoline-1,3-dicarboxylates were obtained by the reaction of the corresponding isoquinoline Noxides with ethyl propiolate.The cycloaddition reaction of nitrones with acetylene derivatives is recognized as the most versatile method for the synthesis of 4-isoxazolinesl, which have been proposed as reactive transients, first-formed intermediates.In many cases, these
Motion Trajectory Measurement of NC Machine Tools Using Accelerometers (2011)

NC controllers use different types of compensation systems to improve motion accuracy of feed drive systems against pitch error, friction, backlash, and elastic deformation. Compensators for static error, such as pitch and squareness errors, are tuned semiautomatically. However, for dynamic error such as quadrant glitches and vibration, parameter tuning takes too much time. In this study, motion trajectory measurement for parameter tuning using accelerometers has been proposed. In the methods, displacements of each axis can be obtained from measured accelerations along each axis. Although the obtained displacements include some errors, such as setting error, sensitivity error, and integral error in numerical integration, the errors can be compensated for based on the feedback positions measured simultaneously. To confirm the feasibility of the proposed methods, measurement tests using a grid encoder are carried out. Results of the measurements confirm that the circular trajectories and vibrations can be measured by the proposed method. Automatic parameter tuning method for the backlash compensator is also proposed.
Forage Analysis, Carbohydrate Content in Alfalfa Herbage as Influenced by Methods of Drying (1965)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTForage Analysis, Carbohydrate Content in Alfalfa Herbage as Influenced by Methods of DryingC. A. Raguse and Dale SmithCite this: J. Agric. Food Chem. 1965, 13, 4, 306–309Publication Date (Print):July 1, 1965Publication History Published online1 May 2002Published inissue 1 July 1965https://pubs.acs.org/doi/10.1021/jf60140a005https://doi.org/10.1021/jf60140a005research-articleACS PublicationsRequest reuse permissionsArticle Views189Altmetric-Citations28LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
Toward Massive Machine Type Communications in Ultra-Dense Cellular IoT Networks: Current Issues and Machine Learning-Assisted Solutions (2019)

The ever-increasing number of resource-constrained machine-type communication (MTC) devices is leading to the critical challenge of fulfilling diverse communication requirements in dynamic and ultra-dense wireless environments. Among different application scenarios that the upcoming 5G and beyond cellular networks are expected to support, such as enhanced mobile broadband (eMBB), massive machine type communications (mMTCs), and ultra-reliable and low latency communications (URLLCs), the mMTC brings the unique technical challenge of supporting a huge number of MTC devices in cellular networks, which is the main focus of this paper. The related challenges include quality of service (QoS) provisioning, handling highly dynamic and sporadic MTC traffic, huge signalling overhead, and radio access network (RAN) congestion. In this regard, this paper aims to identify and analyze the involved technical issues, to review recent advances, to highlight potential solutions and to propose new research directions. First, starting with an overview of mMTC features and QoS provisioning issues, we present the key enablers for mMTC in cellular networks. Along with the highlights on the inefficiency of the legacy random access (RA) procedure in the mMTC scenario, we then present the key features and channel access mechanisms in the emerging cellular IoT standards, namely, LTE-M and narrowband IoT (NB-IoT). Subsequently, we present a framework for the performance analysis of transmission scheduling with the QoS support along with the issues involved in short data packet transmission. Next, we provide a detailed overview of the existing and emerging solutions toward addressing RAN congestion problem, and then identify potential advantages, challenges, and use cases for the applications of emerging machine learning (ML) techniques in ultra-dense cellular networks. Out of several ML techniques, we focus on the application of low-complexity Q-learning approach in the mMTC scenario along with the recent advances toward enhancing its learning performance and convergence. Finally, we discuss some open research challenges and promising future research directions.
Quantum chaotic scattering in graphene systems in the absence of invariant classical dynamics (2013)

Quantum chaotic scattering is referred to as the study of quantum behaviors of open Hamiltonian systems that exhibit transient chaos in the classical limit. Traditionally a central issue in this field is how the elements of the scattering matrix or their functions fluctuate as a system parameter, e.g., the electron Fermi energy, is changed. A tacit hypothesis underlying previous works was that the underlying classical phase-space structure remains invariant as the parameter varies, so semiclassical theory can be used to explain various phenomena in quantum chaotic scattering. There are, however, experimental situations where the corresponding classical chaotic dynamics can change characteristically with some physical parameter. Multiple-terminal quantum dots are one such example where, when a magnetic field is present, the classical chaotic-scattering dynamics can change between being nonhyperbolic and being hyperbolic as the Fermi energy is changed continuously. For such systems semiclassical theory is inadequate to account for the characteristics of conductance fluctuations with the Fermi energy. To develop a general framework for quantum chaotic scattering associated with variable classical dynamics, we use multi-terminal graphene quantum-dot systems as a prototypical model. We find that significant conductance fluctuations occur with the Fermi energy even for fixed magnetic field strength, and the characteristics of the fluctuation patterns depend on the energy. We propose and validate that the statistical behaviors of the conductance-fluctuation patterns can be understood by the complex eigenvalue spectrum of the generalized, complex Hamiltonian of the system which includes self-energies resulted from the interactions between the device and the semi-infinite leads. As the Fermi energy is increased, complex eigenvalues with extremely smaller imaginary parts emerge, leading to sharp resonances in the conductance.
On Supporting Context-Aware Preferences in Relational Database Systems. (2005)

A context-aware system is a system that uses context to provide relevant information or services to its users. While there has been a variety of context middleware infrastructures and context-aware applications, little work has been done in integrating context into database management systems. In this paper, we consider a preference system that facilitates context-aware OLAP queries, that is OLAP queries whose result depends on the context at the time of their submission. We propose using data cubes to store the dependencies between context and database relations and OLAP techniques for the manipulation of context-aware queries.
Genetic heterogeneity in Italian families with familial hemiplegic migraine (1999)

Genetic heterogeneity of FHM has been shown in familial and sporadic FHM patients of Italian origin. The new missense mutation-G4644T-is associated with milder clinical features compared with typical FHM.
Pelvic organ prolapse. (2006)

Pelvic organ prolapse, a condition in which the ligaments and muscles that suspend the vagina within the pelvic cavity weaken or break, is a frequent cause of urinary and fecal incontinence. Stigma, embarrassment and the belief that pelvic organ prolapse is a natural part of aging prevents many women from seeking treatment. Medical imaging modalities such as defecography, dynamic magnetic resonance imaging and ultrasound help health care providers make effective treatment decisions.
Is Punishment Retributive? (1955)

Is Punishment Retributive? Get access K. Baier K. Baier University of Melbourne Search for other works by this author on: Oxford Academic Google Scholar Analysis, Volume 16, Issue 2, December 1955, Pages 25–32, https://doi.org/10.1093/analys/16.2.25a Published: 01 December 1955
On the Solid-state Bonding in Cast Irons Using Dynamic Superplastic Phenomena (1977)

Solid-state bonding accomodated with the dynamic superplastic characteristics oJ metallic materials has bem studied and bonding p roperties are examined by bonding strellgths, microstructural observatiolls and others.From the cOllsideration oJ bonding mechanisms, it has beell Joulld that the presellt bonding technique is largely attributable to the accelerated dilJusioli rate oJ metals along with the super/Jlastic metal flow. I. Introdu ct
Autoimmune B-cell lymphopenia after successful adoptive therapy with telomerase-specific T lymphocytes (2009)

Telomerase reverse transcriptase (TERT) is a good candidate for cancer immunotherapy because it is overexpressed in 85% of all human tumors and implicated in maintenance of the transformed phenotype. TERT-based cancer vaccines have been shown to be safe, not inducing any immune-related pathology, but their impact on tumor progression is modest. Here we show that adoptive cell therapy with the use of high-avidity T lymphocytes reactive against telomerase can control the growth of different established tumors. Moreover, in transgenic adenocarcinoma mouse prostate mice, which develop prostate cancer, TERT-based adoptive cell therapy halted the progression to more aggressive and poorly differentiated tumors, significantly prolonging mouse survival. We also demonstrated that human tumors, including Burkitt lymphoma, and human cancer stem cells, are targeted in vivo by TERT-specific cytotoxic T lymphocytes. Effective therapy with T cells against telomerase, different from active vaccination, however, led to autoimmunity marked by a consistent, although transient, B-cell depletion in primary and secondary lymphoid organs, associated with alteration of the spleen cytoarchitecture. These results indicate B cells as an in vivo target of TERT-specific cytotoxic T lymphocytes during successful immunotherapy.
A Cheap and Efficient Method for Selective para‐Iodination of Aniline Derivatives. (2005)

International audience
Bioactive “self-sensing” optical systems (2009)

Free-standing silk films are useful materials to manufacture nanopatterned optical elements and to immobilize bio-dopants such as enzymes while maintaining their biological activity. These traits were combined by incorporating hemoglobin into free-standing silk diffraction gratings to fabricate chemically responsive optofluidic devices responsive to ambient gas conditions, constituting a simple oxygen sensor. This type of self-analyzing optical system is enabled by the unique ability to reproduce high-fidelity optical structures in silk while maintaining the activity of entrapped proteins such as hemoglobin. These bioactive optical devices offer a direct readout capability, adding utility into the bioresponsive material arena.