gebhart/patrepeval huggingface dataset:
Review of the opaque coolant barrier removal techniques for in-process form profile optical measurement (2019)

In-process measurement can provide feedback for control of workpiece precision in terms of size, form error, and roughness. It can be used for precision control of a machining process, therefore to improve productivity and reduce defect rates. Optical measurement methods have greater advantages in the in-process form profile measurement systems due to their non-contact type and high precision. However, use of opaque coolant in precision machining will introduce an opaque barrier problem, making the workpiece surface y(x, z) inaccessible to the optical measurement devices. To solve this problem, several approaches, including the water beam approach, the single air beam approach, the multiple air beam approach, and the dual coolant displacing medium method, are examined in terms of coolant removal capability, level of acceptance to surface complexity, flow rate and velocity of the coolant displacing media, and also errors induced by the coolant removal methods. The results of the study show that the multiple air beam method and the dual coolant displacing media method are more advantageous than the other methods.
Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning (2017)

Autonomous vehicle (AV) software is typically composed of a pipeline of individual components, linking sensor inputs to motor outputs. Erroneous component outputs propagate downstream, hence safe AV software must consider the ultimate effect of each component’s errors. Further, improving safety alone is not sufficient. Passengers must also feel safe to trust and use AV systems. To address such concerns, we investigate three under-explored themes for AV research: safety, interpretability, and compliance. Safety can be improved by quantifying the uncertainties of component outputs and propagating them forward through the pipeline. Interpretability is concerned with explaining what the AV observes and why it makes the decisions it does, building reassurance with the passenger. Compliance refers to maintaining some control for the passenger. We discuss open challenges for research within these themes. We highlight the need for concrete evaluation metrics, propose example problems, and highlight possible solutions.
Breaking down the manufacturing process of sheet metal products into features (2007)

Computer-aided design (CAD) of sheet metal parts is considered rather easy at present. However, the apparently easy design process can result in the problems in manufacturing properties of sheet metal parts. Conse-quently, one should always take into account the manufac-turing technologies used, and consider the consequences of selecting a certain technology. In this study, manufacturing features of sheet metal products are divided into feature classes. A feature class describes specific manufacturing property of a sheet metal product, such as bending. A feature class comprises individual features and attributes, which are further divided into other features and attributes. Features and attributes together determine the process with which a product can be manufactured. In speaking manner, features invite certain processes and process parameters, that is, a feature tells the process how it should be manufactured. Designing and implementing a feature-based da-tabase application would help designers to obtain informa-tion on different technologies that can be applied to prod-uct manufacture.
Microstructural Characterization of a Commercial Hot‐Pressed Boron Carbide Armor Plate (2016)

Detailed microstructural characterization was carried out on a commercial‐grade hot‐pressed boron carbide armor plate. The boron carbide grains have close to B 4 C stoichiometry, and most of them have no planar defects. The most prominent second phase is intergranular graphite inclusions that are surrounded by multiple boron carbide grains. Submicrometer intragranular and intergranular BN and AlN precipitates were also observed. In addition, fine dispersions of AlN nanoprecipitates were observed in some but not all grains. No intergranular films were found. These microstructural characteristics are compared with the lab‐consolidated boron carbide and their effects on the mechanical properties of boron carbide are addressed.
[Optimum hepatic parenchymal dissection to prevent bile leak: a comparative study using electrosurgical and stapling devices in swine]. (2013)

Electrosurgical devices with an automatic irrigation function are useful devices to dissect the liver parenchyma.
Ultra-Water-Repellent Poly(ethylene terephthalate) Substrates (2003)

ADVERTISEMENT RETURN TO ISSUEPREVNoteUltra-Water-Repellent Poly(ethylene terephthalate) SubstratesKatsuya Teshima, Hiroyuki Sugimura, Yasushi Inoue, Osamu Takai, and Atsushi TakanoView Author Information Department of Materials Processing Engineering, Graduate School of Engineering, Nagoya University, Nagoya 464-8603, Japan, Advanced Technology Laboratory, Research & Development Center, Dai Nippon Printing Co., Ltd., Kashiwa 277-0871, Japan, Research Center for Nuclear Materials Recycle, Nagoya University, Nagoya 464-8603, Japan, and Center for Integrated Research in Science and Engineering, Nagoya University, Nagoya 464-8603, Japan Cite this: Langmuir 2003, 19, 25, 10624–10627Publication Date (Web):November 8, 2003Publication History Received17 February 2003Revised26 August 2003Published online8 November 2003Published inissue 1 December 2003https://doi.org/10.1021/la034265dCopyright © 2003 American Chemical SocietyRequest reuse permissionsArticle Views1469Altmetric-Citations102LEARN 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 InReddit Read OnlinePDF (163 KB) Get e-AlertscloseSUBJECTS:Carbon,Layers,Oxygen,Plasma,Positron emission tomography Get e-Alerts
Verification of Public Weather Forecasts Available via the Media (1997)

The question of who is the “best” forecaster in a particular media market is one that the public frequently asks. The authors have collected approximately one year's forecasts from the National Weather Service and major media presentations for Oklahoma City. Diagnostic verification procedures indicate that the question of best does not have a clear answer. All of the forecast sources have strengths and weaknesses, and it is possible that a user could take information from a variety of sources to come up with a forecast that has more value than any one individual source provides. The analysis provides numerous examples of the utility of a distributions-oriented approach to verification while also providing insight into the problems the public faces in evaluating the array of forecasts presented to them.
Non-Linear Behaviour in the Photochemistry of Minor Constituents in the Upper Mesosphere. (1991)

A simplified model of the photochemistry of the upper mesosphere and the mesopause range has indicated resonance effects or non-linear behaviour of the density of minor constituents for certain conditions. Typical non-linear effects such as bifurcation and chaos occur, but only when away from equilibrium conditions. The daily excitation of the photochemical system of the mesosphere by solar radiation represents a disturbance of the equilibrium if the internal photochemical characteristic time is of the same order as the time period of the exciting radiation. The photochemical system can be considered as an oscillator operating in the vicinity of resonance. Under sufficiently loss-free conditions the system shows typical non-linear oscillations. Photochemical resonances, period doubling cascades, chaotic orbits and intermittances have been found. The system is strongly influenced by humidity. The relatively large variation of water vapour densities found in measurements may move the real photochemical system into ranges of non-linear behaviour. A more realistic model indicated the occurrence of period-2 oscillations in the case of enhanced levels of humidity. Such oscillations would trigger a 2-day alternating input of chemical energy. Since chemical heating is the dominant energy source in the mesopause region particularly in summer it may be a stimulating force of the quasi 2-day prevailing wind variations, which were discovered by Mueller in 1972
Low complexity H.264 video encoding (2009)

H.264/AVC encoder complexity is mainly due to variable block size in Intra and Inter frames. This makes H.264/AVC very difficult to implement, especially for real time applications and mobile devices. The current technological challenge is to conserve the compression capacity and quality that H.264 offers but reduce the encoding time and, therefore, the processing complexity. This paper applies machine learning technique for video encoding mode decisions and investigates ways to improve the process of generating more general low complexity H.264/AVC video encoders. The proposed H.264 encoding method decreases the complexity in the mode decision inside the Inter frames. Results show, on average, a 67.36% reduction in encoding time, a 0.2 dB decrease in PSNR, and an average bit rate increase of 0.05%.
Self‐Assembly of Flexible Free‐Standing 3D Porous MoS2‐Reduced Graphene Oxide Structure for High‐Performance Lithium‐Ion Batteries (2017)

Flexible freestanding electrodes are highly desired to realize wearable/flexible batteries as required for the design and production of flexible electronic devices. Here, the excellent electrochemical performance and inherent flexibility of atomically thin 2D MoS 2 along with the self‐assembly properties of liquid crystalline graphene oxide (LCGO) dispersion are exploited to fabricate a porous anode for high‐performance lithium ion batteries. Flexible, free‐standing MoS 2 –reduced graphene oxide (MG) film with a 3D porous structure is fabricated via a facile spontaneous self‐assembly process and subsequent freeze‐drying. This is the first report of a one‐pot self‐assembly, gelation, and subsequent reduction of MoS 2 /LCGO composite to form a flexible, high performance electrode for charge storage. The gelation process occurs directly in the mixed dispersion of MoS 2 and LCGO nanosheets at a low temperature (70 °C) and normal atmosphere (1 atm). The MG film with 75 wt% of MoS 2 exhibits a high reversible capacity of 800 mAh g −1 at a current density of 100 mA g −1 . It also demonstrates excellent rate capability, and excellent cycling stability with no capacity drop over 500 charge/discharge cycles at a current density of 400 mA g −1 .
Unequivocal morphological diagnosis of fungi in morphologically abnormal nails (2006)

The 61% positivity rate for fungi found justifies systematic direct submission of samples from abnormal nails for histological confirmation in order to avoid unwarranted treatment.
Channel modeling for underwater optical communication (2011)

We consider in this paper channel modeling for underwater optical channels. In particular, we focus on the channel impulse response and quantify the channel time dispersion under different conditions of water type, link distance, and transmitter/receiver parameters. We use the Monte Carlo approach to simulate the trajectories of emitted photons propagating in water towards the receiver. We show that in most practical cases, the time dispersion is negligible and does not induce any inter-symbol interference on the received symbols. Our results can be used to appropriately set different system design parameters.
0948 Adverse Experiences in Childhood impact Sleep and Neurocognitive Impairment in Combat-Exposed Veterans (2018)

Adverse childhood experiences (emotional, physical and sexual abuse; emotional and physical neglect) have been associated with the development of mental illness, substance abuse and premature mortality. Several studies suggest a link between childhood adversity, sleep disturbances and neurocognitive function in adulthood. This study examined the relationships among childhood trauma, the development of sleep disturbances and neurocognitive impairment in Operation Enduring Freedom (OEF)/Operation Iraqi Freedom (OIF) Veterans with and without PTSD. Thirty subjects (PTSD, n = 20; control, n = 10) were recruited for a study examining neurobiological and neuropsychological factors associated with PTSD. Veterans’ symptomatology was assessed using the Clinician-Administered PTSD scale. Early life adverse events were investigated with the Childhood Trauma Questionnaire (CTQ), which has five clusters: emotional/physical/sexual abuse, environmental support and neglect. Insomnia was investigated using the Insomnia Severity Index (ISI) and nightmare frequency with the Nightmare Frequency Questionnaire (NFQ). Neuropsychological assessment was conducted with the Web-based Computerized Neuropsychological Battery (Web-CNB). Subjects with PTSD had higher scores on emotional and physical abuse (p=0.02: p=0.03) than controls. In the entire sample, emotional and physical abuse were associated with nightmare frequency (p=0.01; p=0.003), while neglect was associated with insomnia severity (p=0.02) as well as nightmare frequency (p=0.01). There were correlations between working memory impairment and emotional abuse (p<0.0001), physical abuse (p=0.01), and neglect (p=0.01). Lower scores in the visuospatial skill test were associated with emotional abuse (p=0.04). Lower visual learning scores correlated with insomnia severity (p=0.03) and lower memory scores with physical neglect (p=0.03). Subjects with PTSD had experienced higher levels of emotional and physical abuse in their childhood than controls, as seen in other studies. Physical/emotional abuse and neglect in childhood were associated with disturbed sleep (nightmares and insomnia), suggesting potential long-term effects of early childhood trauma on sleep. Emotional and physical neglect also were associated with neurocognitive impairments. This work was funded by the Defense Advanced Research Projects Agency under a grant from the US Army Research Office (grant number W911NF1010093)
Characterization of putative membrane protein genes of the ‘Candidatus Phytoplasma asteris’, chrysanthemum yellows isolate (2008)

To characterize potentially important surface-exposed proteins of the phytoplasma causing chrysanthemum yellows (CY), new primers were designed based on the conserved regions of 3 membrane protein genes of the completely sequenced onion yellows and aster yellows witches' broom phytoplasmas and were used to amplify CY DNA. The CY genes secY, amp, and artI, encoding the protein translocase subunit SecY, the antigenic membrane protein Amp and the arginine transporter ArtI, respectively, were cloned and completely sequenced. Alignment of CY-specific secY sequences with the corresponding genes of other phytoplasmas confirmed the 16S rDNA-based classification, while amp sequences were highly variable within the 'Candidatus Phytoplasma asteris'. Five CY partial sequences were cloned into the pRSetC expression vector, and 3 of the encoded protein fragments (Amp 64/651, Amp 64/224, ArtI 131/512) were expressed as fusion antigens for the production of CY-specific polyclonal antibodies (A416 against Amp 64/224; A407 against ArtI 131/512). A416 recognized, in Western blots, the full-length Amp from CY-infected plants (periwinkle, daisy) and insect vectors (Euscelidius variegatus, Macrosteles quadripunctulatus). A416 also reacted to European aster yellows, to primula yellows phytoplasmas, to northern Italian strains of 'Ca. Phytoplasma asteris' from lettuce and gladiolus, but it did not react to American aster yellows phytoplasma.
Organization of the axolemma in amyelinated axons: a cytochemical study in dy/dy dystrophic mice (1978)

Abstract Previous studies using a variety of techniques have shown that in normal myelinated fibres there are structural differences between the axon membrane at nodes of Ranvier and in the internodes beneath the myelin sheath. The present paper reports the results of a cytochemical study on the axon membrane in amyelinated axons in dy/dy dystrophic mice, in which myelination is focally absent owing to a genetic defect. The results indicate that the amyelinated axon membrane, which is known to be capable of sustaining continuous impulse conduction, is structurally different from normal nodal membrane. Comparison of the cytochemical results with physiological and pharmacological data suggests that the amyelinated dystrophic axon membrane may exhibit a lower sodium channel density than normal nodal membrane.
82. Resolution performance of a prototype detector for small animal imaging (2000)

s: Abstracts of the 30th Annual Scientific Meeting of the Australian and New Zealand Society of Nuclear Medicine
Towards a Numerical Approach of Finding Candidates for Additive Manufacturing-Enabled Part Consolidation (2018)

Part consolidation (PC) is one of the typical design freedoms enabled by additive manufacturing (AM) processes. However, how to select potential candidates for PC is rarely discussed. This deficiency has hindered AM from wider applications in industry. Currently available design guidelines are based on obsolete heuristic rules provided for conventional manufacturing processes. This paper first revises these rules to take account of AM constraints and lifecycle factors so that efforts can be saved and used at the downstream detailed design stage. To automate the implementation of these revised rules, a numerical approach named PC candidate detection (PCCD) framework is proposed. This framework is comprised of two steps: construct functional and physical interaction (FPI) network and PCCD algorithm. FPI network is to abstractly represent the interaction relations between components as a graph whose nodes and edges have defined physical attributes. These attributes are taken as inputs for the PCCD algorithm to verify conformance to the revised rules. In this PCCD algorithm, verification sequence of rules, conflict handling, and the optimum grouping approach with the minimum part count are studied. Compared to manual ad hoc design practices, the proposed PCCD method shows promise in repeatability, retrievability, and efficiency. Two case studies of a throttle pedal and a tripod are presented to show the application and effectiveness of the proposed methods.
Yes, even human brown fat is on fire! (2012)

That adult humans possess brown fat is now accepted - but is the brown fat metabolically active? Does human brown fat actually combust fat to release heat? In this issue of the JCI, Ouellet et al. demonstrate that metabolism in brown fat really is increased when adult humans are exposed to cold. This boosts the possibility that calorie combustion in brown fat may be of significance for our metabolism and, correspondingly, that the absence of brown fat may increase our proneness to obesity - provided that brown fat becomes activated not only by cold but also through food-related stimuli.
Docking de protéines en réalité virtuelle. Une approche hybride et multimodale (2009)

International audience
Simulation der Chemie von Zeolithen mit Computer‐Graphik (1984)

Abstract Zeolithe haben einzigartige Strukturen und katalytische Eigenschaften sowie ein herausragendes Adsorptionsvermögen, die mit Computer‐Graphik, besonders der Farbgraphik, in eleganter Weise simuliert werden können. So lassen sich die Positionen von Kationen und von eingelagerten Edukten und Produkten sowie die verschiedenen Arten von Verwachsungen (intergrowth) in diesen mikroporösen Festkörpern anschaulich darstellen. Dabei ist der formselektierende Charakter der Zeolithe unmittelbar zu erkennen. Auch dynamische Phänomene wie Translation und Rotation von Gastmolekülen, z. B. Benzol, im Kanal eines typischen Zeoliths, z. B. Silicalit, können interaktiv mit geeigneten Potentialfunktionen untersucht werden.
Hierarchical hybrid search structure for high performance packet classification (2012)

Hierarchical search structures for packet classification offer good memory performance and support quick rule updates when implemented on multi-core network processors. However, pipelined hardware implementation of these algorithms has two disadvantages: (1) backtracking which requires stalling the pipeline and (2) inefficient memory usage due to variation in the size of the trie nodes. We propose a clustering algorithm that can partition a given rule database into a fixed number of clusters to eliminate back-tracking in the state-of-the-art hierarchical search structures. Furthermore, we develop a novel ternary trie data structure (T <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∈</sub> ). In T <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∈</sub> structure, the size of the trie nodes is fixed by utilizing ∈-branch property, which overcomes the memory inefficiency problems in the pipelined hardware implementation of hierarchical search structures. We design a two-stage hierarchical search structure consisting of binary search trees in Stage 1, and T <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∈</sub> structures in Stage 2. Our approach demonstrates a substantial reduction in the memory footprint compared with that of the state-of-the-art. For all publicly available databases, the achieved memory efficiency is between 10.37 and 22.81 bytes of memory per rule. State-of-the-art designs can only achieve the memory efficiency of over 23 byte/rule in the best case. We also propose a SRAM-based linear pipelined architecture for packet classification that achieves high throughput. Using a state-of-the-art FPGA, the proposed design can sustain a 418 million packets per second throughput or 134 Gbps (for the minimum packet size of 40 Bytes). Additionally, our design maintains packet input order and supports in-place non-blocking rule updates.
Case Illustrations of the Integrated CAD–CAM Process (2012)

This chapter contains sections titled: Introduction Case 1 Case 2 Case 3 Case 4 Case 5 Case 6 Case 7 Case 8 Case 9 Case 10 Case 11 Case 12 Case 13 Case 14 Case 15 Case 16 Case 17 Case 18 Case 19 Case 20 Case 21 Case 22 Summary
Spectral beam compression and combination using fiber laser sources. (2016)

Abstract not provided.
A System for Efficiently Hunting for Cyber Threats in Computer Systems Using Threat Intelligence (2021)

Log-based cyber threat hunting has emerged as an important solution to counter sophisticated cyber attacks. However, existing approaches require non-trivial efforts of manual query construction and have overlooked the rich external knowledge about threat behaviors provided by open-source Cyber Threat Intelligence (OSCTI). To bridge the gap, we build ThreatRaptor, a system that facilitates cyber threat hunting in computer systems using OSCTI. Built upon mature system auditing frameworks, ThreatRaptor provides (1) an unsupervised, light-weight, and accurate NLP pipeline that extracts structured threat behaviors from unstructured OSCTI text, (2) a concise and expressive domain-specific query language, TBQL, to hunt for malicious system activities, (3) a query synthesis mechanism that automatically synthesizes a TBQL query from the extracted threat behaviors, and (4) an efficient query execution engine to search the big system audit logging data.