gebhart/patrepeval huggingface dataset:
AEC3D: An Efficient and Compact Single Stage 3D Multiobject Detector for Autonomous Driving (2022)

This paper proposes a computationally fast and accurate framework to identify natively in 3D point clouds from LIDAR for autonomous driving. Speed is significant and detection is an indispensable component of safety. Many of the approaches are. However, most of them remain massive computation due to high dimensionality and densely of point clouds. We therefore investigate and carefully design an enhanced single-stage keypoint 3D multi-object detection framework to balance high accuracy and real-time efficiency. Experiments on the challenging KITTI dataset show that AEC3D outperforms other projection-based performances by a noteworthy margin. In addition, this is an embedded system-friendly approach, the inference times on TITAN Xp and Jetson AGX Xavier Developer Kit are 48 FPS and 14 FPS, respectively.
Analysis of a scheduler for a CAD framework (1999)

Article Analysis of a scheduler for a CAD framework Share on Authors: David S. Keyes Picker International, Inc. World Headquarters, 595 Miner Road, Cleveland, OH Picker International, Inc. World Headquarters, 595 Miner Road, Cleveland, OHView Profile , Laura K. Dillon Department of Computer Science & Engineering, 3115 Engineering Building, Michigan State University, East Lansing, MI Department of Computer Science & Engineering, 3115 Engineering Building, Michigan State University, East Lansing, MIView Profile , Moon Jung Chung Department of Computer Science & Engineering, 3115 Engineering Building, Michigan State University, East Lansing, MI Department of Computer Science & Engineering, 3115 Engineering Building, Michigan State University, East Lansing, MIView Profile Authors Info & Claims ICSE '99: Proceedings of the 21st international conference on Software engineeringMay 1999 Pages 152–161https://doi.org/10.1145/302405.302461Online:16 May 1999Publication History 2citation192DownloadsMetricsTotal Citations2Total Downloads192Last 12 Months3Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Complement Degradation Products in Rheumatoid Arthritis Synovial Fluid (1994)

Journal Article Complement Degradation Products in Rheumatoid Arthritis Synovial Fluid Get access M. SHINGU, M. SHINGU Department of Clinical Immunology, Medical Institute of Bioregulation, Kyushu University 694546 Tsurumihara, Beppu, Japan 874 Search for other works by this author on: Oxford Academic PubMed Google Scholar Y. WATANABE, Y. WATANABE Department of Clinical Immunology, Medical Institute of Bioregulation, Kyushu University 694546 Tsurumihara, Beppu, Japan 874 Search for other works by this author on: Oxford Academic PubMed Google Scholar K. TOMOOKA, K. TOMOOKA Department of Clinical Immunology, Medical Institute of Bioregulation, Kyushu University 694546 Tsurumihara, Beppu, Japan 874 Search for other works by this author on: Oxford Academic PubMed Google Scholar K. YOSHIOKA, K. YOSHIOKA Department of Clinical Immunology, Medical Institute of Bioregulation, Kyushu University 694546 Tsurumihara, Beppu, Japan 874 Search for other works by this author on: Oxford Academic PubMed Google Scholar E. OHTSUKA, E. OHTSUKA Department of Clinical Immunology, Medical Institute of Bioregulation, Kyushu University 694546 Tsurumihara, Beppu, Japan 874 Search for other works by this author on: Oxford Academic PubMed Google Scholar M. NOBUNAGA M. NOBUNAGA Department of Clinical Immunology, Medical Institute of Bioregulation, Kyushu University 694546 Tsurumihara, Beppu, Japan 874 Search for other works by this author on: Oxford Academic PubMed Google Scholar Rheumatology, Volume 33, Issue 3, March 1994, Pages 299–300, https://doi.org/10.1093/rheumatology/33.3.299 Published: 01 March 1994 Article history Accepted: 01 October 1993 Published: 01 March 1994
Family therapy in a rehabilitation hostel (1991)

Helen Elliot and her colleagues describe how an amended version of Ealloon’s behavioural family therapy approach reaped dividends in improving the communication skills of a group of young people with schizophrenia.
Vacancies and interstitials in indium nitride: Vacancy clustering and molecular bondlike formation from first principles (2009)

We investigate the structural and electronic properties and formation energies of vacancy, interstitial, and antisite defects, as well as complex formation, in wurtzite InN using first-principles calculations. The N interstitial, which forms a split-interstitial configuration with a ${\text{N}}_{2}$-like bonding, has the lowest formation energy under N-rich conditions in $p$-type material, where it is a triple donor. We find that indium vacancies have a tendency to form ``clusters,'' which results in local nitrogen-rich regions and the formation of ${\text{N}}_{x}$-molecular-like bonds. These complexes are amphoteric, have a relatively high formation energy, and are formed more readily under N-rich conditions. The nitrogen vacancy is a low energy defect under more In-rich conditions, and in $p$-type material it acts as a single and triple donor. In the neutral and negative charge states, we find nitrogen vacancies also prefer to be situated close to one another and to cluster, giving rise to local In-rich regions with electron localization at these metalliclike bonding configurations. The indium antisite in the $4+$ charge state is the lowest-energy defect under In-rich conditions in $p$-type material and thus also acts as a donor. Our findings shed light on, and help explain, recent and sometimes conflicting, experimental observations.
Temperature‐Responsive Microgel Films as Reversible Carbon Dioxide Absorbents in Wet Environment (2014)

Abstract Hydrogel films composed of temperature‐responsive microgel particles (GPs) containing amine groups work as stimuli‐responsive carbon dioxide absorbent with a high capacity of approximately 1.7 mmol g −1 . Although the dried films did not show significant absorption, the reversible absorption capacity dramatically increased by adding a small amount of water (1 mL g −1 ). The absorption capacity was independent of the amount of added water beyond 1 mL g −1 , demonstrating that the GP films can readily be used under wet conditions. The amount of CO 2 absorbed by the GP films was proportional to their thickness up to 200–300 μm (maximum capacity of about 2 L m −2 ). Furthermore, the films consisting of GPs showed faster and greater absorption and desorption of CO 2 than that of monolithic hydrogel films. These results indicated the importance of a fast stimulus response rate of the films that are composed of GPs in order to achieve long‐range and fast diffusion of bicarbonate ions. Our study revealed the potential of stimuli‐responsive GP films as energy‐efficient absorbents to sequester CO 2 from high‐humidity exhaust gases.
A hybrid perturbation–Galerkin solution to a problem in selective withdrawal (1993)

A model of selective withdrawal is considered in which a source is located above a gas–liquid interface in a gravitational field. The effects of surface tension are included, and the flow is assumed to be incompressible, inviscid, and irrotational. A perturbation solution is obtained for both the interfacial position and the velocity potential, and then improved using a Galerkin technique. The distortion of the interface by the source is found to be localized and nonmonotonic, and weakly modified by surface tension. An estimate for the stability of the interface is derived from the perturbation solution for the case of zero surface tension.
Extending memory-based machine translation to phrases (2009)

We present a phrase-based extension to memory-based machine translation. This form of example-based machine translation employs lazy-learning classifiers to translate fragments of the source sen-tence to fragments of the target sentence. Source-side fragments consist of variable-length phrases in a local context of neighboring words, translated by the classifier to a target-language phrase. We compare three methods of phrase extraction, and present a new decoder that reassembles the trans-lated fragments into one final translation. Results show that one of the proposed phrase-extraction methods—the one used in Moses—leads to a translation system that outperforms context-sensitive word-based approaches. The differences, however, are small, arguably because the word-based ap-proaches already capture phrasal context implicitly due to their source-side and target-side context sensitivity. 1
Relaxation of Self-Heating-Effect for Stacked-Nanowire FET and p/n-Stacked 6T-SRAM Layout (2018)

In this paper, we investigated the source/drain recessed contact structure to mitigate the self-heating-effects in vertically stacked-nanowire FETs. As a result, lattice temperature of nanowire regions during device operation was considerably decreased by using the source/drain recessed contact structure. This is attributed to an increase in heat dissipation mainly from heat source to bulk wafer. Moreover, we proposed the p/n-stacked nanowire on bulk FinFET and its 6T-SRAM layout. Area of the proposed SRAM was reduced approximately 15%, as compared to the conventional cell layout.
NMR Probes of Molecular Dynamics: Overview and Comparison with Other Techniques (2001)

NMR spin relaxation spectroscopy is a powerful approach for characterizing intramolecular and overall rotational motions in proteins. This review describes experimental methods for measuring laboratory frame spin relaxation rate constants by high-resolution solution-state NMR spectroscopy, together with theoretical approaches for interpreting spin relaxation data in order to quantify protein conformational dynamics on picosecond-nanosecond time scales. Recent applications of these techniques to proteins are surveyed, and investigations of the contribution of conformational chain entropy to protein function are highlighted. Insights into the dynamical properties of proteins obtained from NMR spin relaxation spectroscopy are compared with results derived from other experimental and theoretical techniques.
Indication of participation of caspase-2 and caspase-5 in mechanisms of human cervical malignancy. (2010)

The changes of caspase-2 and caspase-5 activities could be indicative of their involvement in the cervical malignancy mechanisms.
A Master-Slave Adaptive Load-Distribution Processor Model on PCA (2005)

In this paper, we propose a new load-distribution processor model that adapts hardware resources optimally and autonomously to target applications on dynamical reconfiguration devices. In the procedure of load-distribution, the processor detects the load of task-processing by itself and changes the kinds and number of resources optimally. We adopt the master-slave model, which consists of a management unit (master) and two or more processing units (slaves). The former detects overload and distributes tasks and the latter execute task-processing. One of the features of this model is that it is possible to change the number of processing units without reconfiguring the management unit's structure. Moreover, in order to use this load-distribution system efficiently, we propose a reordering unit that buffers data from processing units and outputs rearranged data. In this paper, we describe the requirements and organization of a management unit and processing units. Next, we implement the proposed model on real chips of PCA, a dynamical reconfiguration device, and measure the overheads of processing and reconfiguration. Finally, we evaluate the proposed model based on the experimental results. From the experiments, we show that our proposed model can reduce a designer's efforts to estimate the amount of hardware resources according to applications in advance.
The RQ-Tech methodology: a new paradigm for conceptualizing strategic enterprise architectures (2014)

The purpose of this paper is to report on a new system-theoretic based methodology and corresponding model for Enterprise Architecture development. This model captures the essence of the strategic, conceptual, doctrinal layer of the organization. Reusable Quality Technical Architectures (RQ-Tech) graphically reveals a comprehensive array of enterprise decision alternatives in easily understandable views; all while maintaining the hyperlinks to its provenance in strategic authoritative documentation. The RQ-Tech method has combined the practice of Enterprise Architectures with a modern perspective grounded in Systems Theory and the theory regarding the computer science-oriented Semantic Web. This recombination results in a distinctive methodology for developing models. This new methodology supports the conclusion that system-specific solutions produce islands of technology and can be prevented by employing better enterprise change planning. A review of the literature in three major areas illustrates the overlap common to all three domains. This review provides support for critical thinking concerning how to enrich the Enterprise Architecture practice. The research centered on finding the most significant factors to consider when translating the authoritative text and rich pictures that enterprise managers use to describe the strategic mission and vision of their complex, service-oriented enterprise into user-oriented semantic models. It provides the basis for RQ-Tech as a methodology that enables increased understanding of complex systems through use of Semantic Web standards.
Nociception and inflammatory hyperalgesia evaluated in rodents using infrared laser stimulation after Trpv1 gene knockout or resiniferatoxin lesion (2014)

TRPV1 is expressed in a subpopulation of myelinated Aδ and unmyelinated C-fibers. TRPV1+ fibers are essential for the transmission of nociceptive thermal stimuli and for the establishment and maintenance of inflammatory hyperalgesia. We have previously shown that high-power, short-duration pulses from an infrared diode laser are capable of predominantly activating cutaneous TRPV1+ Aδ-fibers. Here we show that stimulating either subtype of TRPV1+ fiber in the paw during carrageenan-induced inflammation or following hind-paw incision elicits pronounced hyperalgesic responses, including prolonged paw guarding. The ultrapotent TRPV1 agonist resiniferatoxin (RTX) dose-dependently deactivates TRPV1+ fibers and blocks thermal nociceptive responses in baseline or inflamed conditions. Injecting sufficient doses of RTX peripherally renders animals unresponsive to laser stimulation even at the point of acute thermal skin damage. In contrast, Trpv1-/- mice, which are generally unresponsive to noxious thermal stimuli at lower power settings, exhibit withdrawal responses and inflammation-induced sensitization using high-power, short duration Aδ stimuli. In rats, systemic morphine suppresses paw withdrawal, inflammatory guarding, and hyperalgesia in a dose-dependent fashion using the same Aδ stimuli. The qualitative intensity of Aδ responses, the leftward shift of the stimulus-response curve, the increased guarding behaviors during carrageenan inflammation or after incision, and the reduction of Aδ responses with morphine suggest multiple roles for TRPV1+ Aδ fibers in nociceptive processes and their modulation of pathological pain conditions.
Power-conserving computation of order-statistics over sensor networks (2004)

We study the problem of power-conserving computation of order statistics in sensor networks. Significant power-reducing optimizations have been devised for computing simple aggregate queries such as COUNT, AVERAGE, or MAX over sensor networks. In contrast, aggregate queries such as MEDIAN have seen little progress over the brute force approach of forwarding all data to a central server. Moreover, battery life of current sensors seems largely determined by communication costs --- therefore we aim to minimize the number of bytes transmitted. Unoptimized aggregate queries typically impose extremely high power consumption on a subset of sensors located near the server. Metrics such as total communication cost underestimate the penalty of such imbalance: network lifetime may be dominated by the worst-case replacement time for depleted batteries.In this paper, we design the first algorithms for computing order-statistics such that power consumption is balanced across the entire network. Our first main result is a distributed algorithm to compute an e-approximate quantile summary of the sensor data such that each sensor transmits only O(log2n/e) data values, irrespective of the network topology, an improvement over the current worst-case behavior of Ω(n). Second, we show an improved result when the height, h, of the network is significantly smaller than n. Our third result is that we can exactly compute any order statistic (e.g., median) in a distributed manner such that each sensor needs to transmit O(log3n) values.Further, we design the aggregates used by our algorithms to be decomposable. An aggregate Q over a set S is decomposable if there exists a function, f, such that for all S = S1 ∪ S2, Q(S) = f(Q(S1), Q(S2)). We can thus directly apply existing optimizations to decomposable aggregates that increase error-resilience and reduce communication cost.Finally, we validate our results empirically, through simulation. When we compute the median exactly, we show that, even for moderate size networks, the worst communication cost for any single node is several times smaller than the corresponding cost in prior median algorithms. We show similar cost reductions when computing approximate order-statistic summaries with guaranteed precision. In all cases, our total communication cost over the entire network is smaller than or equal to the total cost of prior algorithms.
Chronologic Changes of Cerebral Ventricular Size in a Transgenic Model of Hydrocephalus (2000)

We have maintained a transgenic mouse model of hydrocephalus created to overproduce the cytokine, transforming growth factor-beta1 (TGF-beta1) in the central nervous system (CNS). The aim of the present study was to estimate the embryonic period when the transgenic mice would develop hydrocephalus, by investigating the chronological developmental changes of the cerebral ventricles. Qualitative analysis of ventricular size was performed on sections cut in the coronal plane of embryos at the 15th (E15) and 18th (E18) embryonic days, and postnatal mice aged 4 days (P4). The presence of the TGF-beta1 transgene was determined by performing polymerase chain reaction (PCR) analysis. We have examined 24 embryos and 14 postnatal mice. By performing PCR analysis, the TGF-beta1 transgene was determined to be present in 16 (42.1%). Five of 16 embryos at E15 carried the transgene, and showed a slight enlargement of the lateral ventricles. Three of 8 embryos at E18 carried the transgene, and had remarkable enlargement of the lateral ventricles. Eight of 14 pups at P4 carried the transgene, and 7 of 8 pups with the transgene developed hydrocephalus. In pups that were positive for the transgene, massive enlargement of the lateral ventricles was observed and there was an associated thinning of the overlying cerebral cortex. These results suggest that congenital hydrocephalus may develop at an important embryonic time period, which coincides with the stage of neural stem cell proliferation and differentiation in the CNS.
Novel space efficient secret sharing for implicit data security (2012)

In 2011, Parakh and Kak proposed a space efficient secret sharing for implicit data security using repeated polynomial interpolation. (Information sciences, vol. 181, 2011, pp.335-341.) However, we found that their scheme cannot provide verification, which is very important in secret sharing. Moreover, we present a novel space efficient secret sharing for implicit data security, which has the same advantages as PK scheme, as well as having verification property, anti-assault property, anti-cheating property and dynamic property.
Methysticin and 7,8-Dihydromethysticin are Two Major Kavalactones in Kava Extract to Induce CYP1A1 (2011)

Kava is a plant traditionally used for making beverages in Pacific Basin countries and has been used for the treatment of nervous disorders in the United States. The pharmacological activity of kava is achieved through kavalactones in kava extract, which include kawain, 7,8-dihydrokawain, yangonin, 5,6-dehydrokawain, methysticin, and 7,8-dihydromethysticin. Recent studies have shown that kava extract induces hepatic CYP1A1 enzyme; however, the mechanisms of CYP1A1 induction have not been elucidated, and the kavalactones responsible for CYP1A1 induction have not yet been identified. Using a combination of biochemical assays and molecular docking tools, we determined the functions of kava extract and kavalactones and delineated the underlying mechanisms involved in CYP1A1 induction. The results showed that kava extract displayed a concentration-dependent effect on CYP1A1 induction. Among the six major kavalactones, methysticin triggered the most profound inducing effect on CYP1A1 followed by 7,8-dihydromethysticin. The other four kavalactones (yangonin, 5,6-dehydrokawain, kawain, and 7,8-dihydrokawain) did not show significant effects on CYP1A1. Consistent with the experimental results, in silico molecular docking studies based on the aryl hydrocarbon receptor (AhR)-ligand binding domain homology model also revealed favorable binding to AhR for methysticin and 7,8-dihydromethysticin compared with the remaining kavalactones. Additionally, results from a luciferase gene reporter assay suggested that kava extract, methysticin, and 7,8-dihydromethysticin were able to activate the AhR signaling pathway. Moreover, kava extract-, methysticin-, and 7,8-dihydromethysticin-mediated CYP1A1 induction was blocked by an AhR antagonist and abolished in AhR-deficient cells. These findings suggest that kava extract induces the expression of CYP1A1 via an AhR-dependent mechanism and that methysticin and 7,8-dihydromethysticin contribute to CYP1A1 induction. The induction of CYP1A1 indicates a potential interaction between kava or kavalactones and CYP1A1-mediated chemical carcinogenesis.
Role of Shear Stress in Endothelial Cell Morphology and Expression of Cyclooxygenase Isoforms (2010)

Cyclooxygenase-1 is expressed in endothelial cells cultured under chronic shear stress of high or low directionality.
Enhanced full-face skin rejuvenation using synchronous intense pulsed optical and conducted bipolar radiofrequency energy (ELOS): introducing selective radiophotothermolysis. (2005)

This study demonstrates the safety and efficacy of a new technology using combined optical and conducted bipolar RF energies for noninvasive skin rejuvenation. The results show improvement in wrinkle reduction and amelioration of erythema, telangiectasia, and hyperpigmentation comparable to that reported for other intense pulsed light technologies.