nils-herrmann/clean_scirepeval huggingface dataset:
Fast and Efficient Compressive Sensing Using Structurally Random Matrices

This paper introduces a new framework to construct fast and efficient sensing matrices for practical compressive sensing, called Structurally Random Matrix (SRM). In the proposed framework, we prerandomize the sensing signal by scrambling its sample locations or flipping its sample signs and then fast-transform the randomized samples and finally, subsample the resulting transform coefficients to obtain the final sensing measurements. SRM is highly relevant for large-scale, real-time compressive sensing applications as it has fast computation and supports block-based processing. In addition, we can show that SRM has theoretical sensing performance comparable to that of completely random sensing matrices. Numerical simulation results verify the validity of the theory and illustrate the promising potentials of the proposed sensing framework.
Boltzmann Games

A Boltzmann game is an n-player repeated game, in which Boltzmann machines are employed by players to choose their optimal strategy for each round of the game. Players only have knowledge about the machine they have selected and their own strategy set. Information about other the players and the game’s pay-off function are concealed from all players. Players therefore select their strategies independent of the choices made by their opponents. A player’s pay-off, on the other hand, will be affected by the choices made by other players playing the game. As an example of this game, we play a repeated zero-sum matrix game between two Boltzmann machines. We show that a saddle point will exist for this type of Boltzmann game.
Microfacet Models for Refraction through Rough Surfaces

Microfacet models have proven very successful for modeling light reflection from rough surfaces. In this paper we review microfacet theory and demonstrate how it can be extended to simulate transmission through rough surfaces such as etched glass. We compare the resulting transmission model to measured data from several real surfaces and discuss appropriate choices for the microfacet distribution and shadowing-masking functions. Since rendering transmission through media requires tracking light that crosses at least two interfaces, good importance sampling is a practical necessity. Therefore, we also describe efficient schemes for sampling the microfacet models and the corresponding probability density functions.
The HermiT OWL Reasoner

HermiT is the only reasoner we know of that fully supports the OWL 2 standard, and that correctly reasons about properties as well as classes. It is based on a novel “hypertableau” calculus that addresses performance problems due to nondeterminism and model size—the primary sources of complexity in state-of-the-art OWL reasoners. HermiT also incorporates a number of novel optimizations, including an optimized ontology classification procedure. Our tests show that HermiT performs well compared to existing tableau reasoners and is often much faster when classifying complex ontologies.
Survival and complication rates of implant-supported fixed partial dentures with cantilevers: a systematic review.

The objective of the present systematic review was to analyze the potential effect of incorporation of cantilever extensions on the survival rate of implant-supported fixed partial dental prostheses (FPDPs) and the incidence of technical and biological complications, as reported in longitudinal studies with at least 5 years of follow-up.



A MEDLINE search was conducted up to and including November 2008 for longitudinal studies with a mean follow-up period of at least 5 years. Two reviewers performed screening and data abstraction independently. Prosthesis-based data on survival/failure rate, technical complications (prosthesis-related problems, implant loss) and biological complications (marginal bone loss) were analyzed.



The search provided 103 titles with abstract. Full-text analysis was performed of 12 articles, out of which three were finally included. Two of the studies had a prospective or retrospective case-control design, whereas the third was a prospective cohort study. The 5-year survival rate of cantilever FPDPs varied between 89.9% and 92.7% (weighted mean 91.9%), with implant fracture as the main cause for failures. The corresponding survival rate for FPDPs without cantilever extensions was 96.3-96.2% (weighted mean 95.8%). Technical complications related to the supra-constructions in the three included studies were reported to occur at a frequency of 13-26% (weighted mean 20.3%) for cantilever FPDPs compared with 0-12% (9.7%) for non-cantilever FPDPs. The most common complications were minor porcelain fractures and bridge-screw loosening. For cantilever FPDPs, the 5-year event-free survival rate varied between 66.7% and 79.2% (weighted mean 71.7%) and between 83.1% and 96.3% (weighted mean 85.9%) for non-cantilever FPDPs. No statistically significant differences were reported with regard to peri-implant bone-level change between the two prosthetic groups, either at the prosthesis or at the implant level.



Data on implant-supported FPDPs with cantilever extensions are limited and therefore survival and complication rates should be interpreted with caution. The incorporation of cantilevers into implant-borne prostheses may be associated with a higher incidence of minor technical complications.
Broadband microstrip-fed modified quasi-Yagi antenna

A broadband design of the microstrip-fed modified quasi-Yagi antenna is presented. The two arms of the driving dipole are connected separately to two microstrip sections tapered from the feeding microstrip line and its truncated ground plane. The end points of the two tapered sections can be suitably adjusted to obtain a 10-dB return loss bandwidth more than 50%. Measured radiation patterns are end-fire and the in-band peak gains range from 3.9 to 7.2 dBi. Details of the antenna design and the experimental results are presented and discussed.
Target Detection and Classification Using Seismic and PIR Sensors

Unattended ground sensors (UGS) are widely used to monitor human activities, such as pedestrian motion and detection of intruders in a secure region. Efficacy of UGS systems is often limited by high false alarm rates, possibly due to inadequacies of the underlying algorithms and limitations of onboard computation. In this regard, this paper presents a wavelet-based method for target detection and classification. The proposed method has been validated on data sets of seismic and passive infrared sensors for target detection and classification, as well as for payload and movement type identification of the targets. The proposed method has the advantages of fast execution time and low memory requirements and is potentially well-suited for real-time implementation with onboard UGS systems.
Content Adaptive Enhancement of Multi-View Depth Maps for Free Viewpoint Video

Depth map estimation is an important part of the multi-view video coding and virtual view synthesis within the free viewpoint video applications. However, computing an accurate depth map is a computationally complex process, which makes real-time implementation challenging. Alternatively, a simple estimation, though quick and promising for real-time processing, might result in inconsistent multi-view depth map sequences. To exploit this simplicity and to improve the quality of depth map estimation, we propose a novel content adaptive enhancement technique applied to the previously estimated multi-view depth map sequences. The enhancement method is locally adapted to edges, motion and depth-range of the scene to avoid blurring the synthesized views and to reduce the computational complexity. At the same time, and very importantly, the method enforces consistency across the spatial, temporal and inter-view dimensions of the depth maps so that both the coding efficiency and the quality of the synthesized views are improved. We demonstrate these improvements in the experiments, where the enhancement method is applied to several multi-view test sequences and the obtained synthesized views are compared to the views synthesized using other methods in terms of both numerical and perceived visual quality.
Time of Presentation : Saturday , August 13 , 1994

MFOI/PCO2 Plus Postage. Cognitive Ability; Early Childhood Education; *Early Experience; Fine Arts; Humanities; *Motion; *Music; *PerceptuAl Development; Psychomotor Skills; *Spatial Ability;  Children This research paper reports on testing the hypothesis that music and spatial task performance are causally related. Two complementary studies are presented that replicate and explore previous findings. One study of college students showed that listening to a Mozart sonata induces subsequent short-term spatial reasoning facilitation and tested the effects of highly repetitive music on spatial reasoning. The second study extends the findings of a preliminary pilot study of 1993 which suggested that music training of three-year-olds provides long-term enhancements of nonverbal cognitive abilities already present at significant leveli in infants. The paper concludes with a discussion of the scientific and educational implications, further controls, and future research objectives. Contains 10 references. (EH) Reproductions supplied by EDRS are the best that can be made from the original document. V i Date and Time of Presentation: Saturday, August 13, 1994, Ilam Westin Bonaventure Los Angeles, Lobby Level, Santa Barbara Room B Music and Spatial  A Causal Relationship Frances H. Rauscher, Gordon L. Shaw, Linda J. Levine, Katherine N. Ky University of California, Irvine Eric L Wright Irvine Conservatory of Music Presented at the American Psychological Association 102nd Annual Convention in Los Angeles, CA August 12-16, 1994 BEST COPY AVAILABLE 4,0 7 f./.. I. . /, To THE DuC,ATI:!0.4AL RESOuHcES Nf ORMATIoN (.;1NTE4
Decoction, infusion and hydroalcoholic extract of Origanum vulgare L.: different performances regarding bioactivity and phenolic compounds.

Bioactivity of oregano methanolic extracts and essential oils is well known. Nonetheless, reports using aqueous extracts are scarce, mainly decoction or infusion preparations used for therapeutic applications. Herein, the antioxidant and antibacterial activities, and phenolic compounds of the infusion, decoction and hydroalcoholic extract of oregano were evaluated and compared. The antioxidant activity is related with phenolic compounds, mostly flavonoids, since decoction presented the highest concentration of flavonoids and total phenolic compounds, followed by infusion and hydroalcoholic extract. The samples were effective against gram-negative and gram-positive bacteria. It is important to address that the hydroalcoholic extract showed the highest efficacy against Escherichia coli. This study demonstrates that the decoction could be used for antioxidant purposes, while the hydroalcoholic extract could be incorporated in formulations for antimicrobial features. Moreover, the use of infusion/decoction can avoid the toxic effects showed by oregano essential oil, widely reported for its antioxidant and antimicrobial properties.
Optimized Marker for Template-Guided Intraoral Surgery

Template-guided intraoral surgery is attracting interest due to its accuracy and convenience. Usually, fiducial markers are used for registration of the different model coordinates for patients or plaster and fabrication coordinates in template-guided dental surgery. The accuracy of markers is important because it is directly related to the accuracy of the template-guide, which ultimately affects the success of surgical results. In this paper, we present the methods of determining optimal marker parameters such as size, shape, and material. We have defined parameters that could potentially influence the accuracy of markers and tested them with various values for each parameter. Experiments were performed to measure repeatability, and we tested accuracy and minimized potential error by comparing the actual and calculated dimensions. As a result, the following optimal marker parameters were identified: 3-mm diameter, positively tapered cylindrical shape, and titanium composition.
HPLC of flavanones and chalcones in different species and clones of Salix.

The SPE-HPLC method was developed to determine an isosalipurposide (5) and its derivative, 6"-O-p-coumaroyl ester (6) in the bark of eight taxa (I-VIII) belonging to three species of the genus Salix and originating from a natural habitat or cultivated for pharmaceutical purposes. The chalcones were separated by HPLC under gradient elution with the concentration of ACN increasing from 20% to 50% in 0.1% aqueous H3PO, (tG 15 min). The content of both compounds was determined by an external standardization with the use of isoliquiritigenin (7) as a reference substance - a commercially available chalcone, and also isosalipurposide (5) and its derivative, 6"-O-p-coumaroyl ester (6). The latter compound was isolated from the bark of Salix daphnoides (IV) by a CC and semi-preparative HPLC and its structure was elucidated by MS and NMR spectra. It was stated that 6"-O-p-coumaroylisosalipurposide (6), in addition to isosalipurposide (5), is a characteristic flavonoid for the S. daphnoides species. Moreover, the presence of these two chalcones was confirmed in the bark of S. acutifolia (I). Differences were observed in the results obtained from a quantitative analysis due to the type of reference substance used. The content of chalcones was varied and dependent on the species selected for analysis, namely from 22.01/21.08 mg/g in S. daphnoides clone 1095 (III) to 2.47/2.44 mg/g in S. daphnoides (II), collected from a natural habitat. Isosalipurposide (5) was determined in all the investigated species and clones of Salix, besides a number of naringenin derivatives. Separation of all flavonoids: flavanones - naringenin (1), naringenin (+)-5-O-glucoside (2), (-)-5-O-glucoside (3), 7-O-glucoside (4) and chalcones (5 and 6) was performed under gradient elution with the same solvents and changes in ACN concentration from 2% to 37% (tG 60 min). The total amount of flavanones ranged from 4.69 mg/g in S. purpurea clone 1132 (VII) to 41.93 mg/g in S. purpuea (VIII) from Herbapol Wrocław.
Closed Loop Interactions between Spiking Neural Network and Robotic Simulators Based on MUSIC and ROS

In order to properly assess the function and computational properties of simulated neural systems, it is necessary to account for the nature of the stimuli that drive the system. However, providing stimuli that are rich and yet both reproducible and amenable to experimental manipulations is technically challenging, and even more so if a closed-loop scenario is required. In this work, we present a novel approach to solve this problem, connecting robotics and neural network simulators. We implement a middleware solution that bridges the Robotic Operating System (ROS) to the Multi-Simulator Coordinator (MUSIC). This enables any robotic and neural simulators that implement the corresponding interfaces to be efficiently coupled, allowing real-time performance for a wide range of configurations. This work extends the toolset available for researchers in both neurorobotics and computational neuroscience, and creates the opportunity to perform closed-loop experiments of arbitrary complexity to address questions in multiple areas, including embodiment, agency, and reinforcement learning.
Hydrogen Peroxide- and Nitric Oxide-mediated Disease Control of Bacterial Wilt in Tomato Plants

Reactive oxygen species (ROS) generation in tomato plants by Ralstonia solanacearum infection and the role of hydrogen peroxide (H2O2) and nitric oxide in tomato bacterial wilt control were demonstrated. During disease development of tomato bacterial wilt, accumulation of superoxide anion (O2 (-)) and H2O2 was observed and lipid peroxidation also occurred in the tomato leaf tissues. High doses of H2O2and sodium nitroprusside (SNP) nitric oxide donor showed phytotoxicity to detached tomato leaves 1 day after petiole feeding showing reduced fresh weight. Both H2O2and SNP have in vitro antibacterial activities against R. solanacearum in a dose-dependent manner, as well as plant protection in detached tomato leaves against bacterial wilt by 10(6) and 10(7) cfu/ml of R. solanacearum. H2O2- and SNP-mediated protection was also evaluated in pots using soil-drench treatment with the bacterial inoculation, and relative 'area under the disease progressive curve (AUDPC)' was calculated to compare disease protection by H2O2 and/or SNP with untreated control. Neither H2O2 nor SNP protect the tomato seedlings from the bacterial wilt, but H2O2+ SNP mixture significantly decreased disease severity with reduced relative AUDPC. These results suggest that H2O2 and SNP could be used together to control bacterial wilt in tomato plants as bactericidal agents.
Design and workspace analysis of a 6-6 cable-suspended parallel robot

In this paper, we study the design and workspace of a 6–6 cable-suspended parallel robot. The workspace volume is characterized as the set of points where the centroid of the moving platform can reach with tensions in all suspension cables at a constant orientation. This paper attempts to tackle some aspects of optimal design of a 6DOF cable robot by addressing the variations of the workspace volume and the accuracy of the robot using different geometric configurations, different sizes and orientations of the moving platform. The global condition index is used as a performance index of a robot with respect to the force and velocity transmission over the whole workspace. The results are used for design analysis of the cable-robot for a specific motion of the moving platform.
Sambot: A Self-Assembly Modular Robot System

The design and structure of a self-assembly modular robot (Sambot) are presented in this paper. Each module has its own autonomous mobility and can connect with other modules to form robotic structures with different manipulation abilities. Sambot has a versatile, robust, and flexible structure. The computing platform provided for each module is distributed and consists of a number of interlinked microcontrollers. The interaction and connectivity between different modules is achieved through infrared sensors and Zigbee wireless communication in discrete state and control area network bus communication in robotic configuration state. A new mechanical design is put forth to realize the autonomous motion and docking of Sambots. It is a challenge to integrate actuators, sensors, microprocessors, power units, and communication elements into a highly compact and flexible module with the overall size of 80 mm × 80 mm × 102 mm. The work describes represents a mature development in the area of self-assembly distributed robotics.
Morphology and anatomy of Echinacea purpurea, E. angustifolia, E. pallida and Parthenium integrifolium

The Echinacea species are native to the Atlantic drainage area of the United States of America and Canada. They have been introduced as cultivated medicinal plants in Europe. Echinacea purpurea, E. angustifolia and E. pallida are the species most often used medicinally due to their immune-stimulating properties. This review is focused on morphological and anatomical characteristics of E. purpurea, E. angustifolia, E. pallida, because various species are often misidentified and specimens are often confused in the medicinal plant market.
Visual Cryptography

In this paper we consider a new type of cryptographic scheme, which can decode concealed images without any cryptographic computations. The scheme is perfectly secure and very easy to implement. We extend it into a visual variant of the k out of n secret sharing problem, in which a dealer provides a transparency to each one of the n users; any k of them can see the image by stacking their transparencies, but any k 1 of them gain no information about it. A preliminary version of this paper appeared in Eurocrypt 94. y Dept. of Applied Mathematics and Computer Science, Weizmann Institute of Science, Rehovot 76100,  . Research supported by an Alon Fellowship and a grant from the Israel Science Foundation administered by the Israeli Academy of Sciences.
HyperFlex: Demonstrating control-plane isolation for virtual software-defined networks

We present a demonstration of HyperFlex , a Software-Defined Networking (SDN) virtualization architecture with flexible hypervisor function allocation guaranteeing control-plane virtualization. Network Virtualization (NV) is expected to overcome the ossification of today's communication networks. SDN is seen as an enabler for programmable network control. In order to fully virtualize software-defined networks, not only the virtualization of the data-plane, but also the virtualization of the control-plane has to be considered. HyperFlex is a virtualization hypervisor that ensures isolated control-plane slices for virtual SDN networks. Control-plane isolation also protects the hypervisor resources from exhaustion. Furthermore, virtualization hypervisors have to be scalable and flexible in order to provide the best possible performance for the virtual software-defined networks. They should be able to adapt to the current state of the network and the divergent demands of virtual SDN networks. HyperFlex distributes the hypervisor functions flexibly and dynamically in order to adapt to the current network state.
A floating RESURF (FRESURF) LD-MOSFET device concept

This letter reports a novel device concept, which is an extension of the conventional reduced surface field (RESURF) concept. A heavily doped n-type floating region is introduced into the conventional device structure which allows the breakdown capability of the device to be increased significantly while at the same time making it high-side capable. This floating RESURF (FRESURF) device concept allows the realization of significantly higher breakdown voltage in a thin epitaxy based power integrated circuit (IC) technology. A FRESURF lateral double-diffused power MOS transistor is designed, fabricated and reported for the first time with breakdown voltages as high as 90 V as opposed to 55 V obtained from conventional device sharing same process and drift region doping.
Self-supervised Spatiotemporal Feature Learning by Video Geometric Transformations

To alleviate the expensive cost of data collection and annotation, many self-supervised learning methods were proposed to learn image representations without humanlabeled annotations. However, self-supervised learning for video representations is not yet well-addressed. In this paper, we propose a novel 3DConvNet-based fully selfsupervised framework to learn spatiotemporal video features without using any human-labeled annotations. First, a set of pre-designed geometric transformations (e.g. rotating 0◦, 90◦, 180◦, and 270◦) are applied to each video. Then a pretext task can be defined as ”recognizing the predesigned geometric transformations.” Therefore, the spatiotemporal video features can be learned in the process of accomplishing this pretext task without using humanlabeled annotations. The learned spatiotemporal video representations can further be employed as pre-trained features for different video-related applications. The proposed geometric transformations (e.g. rotations) are proved to be effective to learn representative spatiotemporal features in our 3DConvNet-based fully self-supervised framework. With the pre-trained spatiotemporal features from two large video datasets, the performance of action recognition is significantly boosted up by 20.4% on UCF101 dataset and 16.7% on HMDB51 dataset respectively compared to that from the model trained from scratch. Furthermore, our framework outperforms the state-of-the-arts of fully self-supervised methods on both UCF101 and HMDB51 datasets and achieves 62.9% and 33.7% accuracy respectively.