nils-herrmann/clean_scirepeval huggingface dataset:
Web News Extraction Based on Path Pattern Mining

Many Web news sites have similar structures and layout styles. Our extensive case studies have indicated that there exists potential relevance between Web content layouts and path patterns. Compared with the delimiting features of Web content, path patterns have many advantages, such as a high positioning accuracy, ease of use and a strong pervasive performance. Consequently, a Web information extraction model with path patterns constructed from a path pattern mining algorithm is proposed in this paper. Our experimental data set is obtained by randomly selecting news Web pages from the CNN website. With a reasonable tolerance threshold, the experimental results show that the average precision is above 99% and the average recall is 100% when we integrate Web information extraction with our path pattern mining algorithm. The performance of path patterns from the pattern mining algorithm is much better than that of priori extraction rules configured by domain knowledge.
Efficient Background Modeling Based on Sparse Representation and Outlier Iterative Removal

Most traditional methods tend to be inefficient when solving large-scale problems. In this paper, we introduce sparse representation into the task of large-scale stable-background modeling, and reduce the video size by exploring its discriminative frames. A cyclic iteration process is then proposed to extract the background from the discriminative frame set. The two parts combine to form our sparse outlier iterative removal (SOIR) algorithm. The algorithm operates in tensor space to obey the natural data structure of videos. Experimental results show that a few discriminative frames determine the performance of the background extraction. Furthermore, SOIR can achieve high accuracy and high speed simultaneously when dealing with real video sequences. Thus, SOIR has an advantage in solving large-scale tasks.
Subcision versus 100% trichloroacetic acid in the treatment of rolling acne scars.

Acne scarring is common but surprisingly difficult to treat. Newer techniques and modifications to older ones may make this refractory problem more manageable. The 100% trichloroacetic acid (TCA) chemical reconstruction of skin scars (CROSS) method is a safe and effective single modality for the treatment of atrophic acne scars, whereas subcision appears to be a safe technique that provides significant improvement for rolling acne scars.



To compare the effect of the 100% TCA CROSS method with subcision in treating rolling acne scars.



Twenty patients of skin types III and IV with bilateral rolling acne scars received one to three sessions of the 100% TCA CROSS technique for scars on the left side of the face and subcision for scars on the right side.



The mean decrease in size and depth of scars was significantly greater for the subcision side than the 100% TCA CROSS (p<.001). More side effects in the form of pigmentary alteration were observed with the 100% TCA CROSS method.



For rolling acne scars in patients with Fitzpatrick skin types III and IV, subcision shows better results with fewer side effects than the 100% TCA CROSS technique, although further decrease in scar depth with time occurs more significantly after 100% TCA CROSS.
Compact rectangular U-shaped slot microstrip patch antenna for UWB applications

In this paper, the performance of a rectangular microstrip patch antenna fed by microstrip line is designed to operate for ultra-wide band applications. It consists of a rectangular patch with U-shaped slot on one side of the substrate and a finite ground plane on the other side. The U-shaped slot and the finite ground plane are used to achieve an excellent impedance matching to increase the bandwidth. The proposed antenna is designed and optimized based on extensive 3D EM simulation studies. The proposed antenna is designed to operate over a frequency range from 3.6 to 15 GHz.
Old and New Results in the Foundations of Elementary Plane Euclidean and Non-Euclidean Geometries

By “elementary” plane geometry I mean the geometry of lines and circles—straightedge and compass constructions—in both Euclidean and non-Euclidean planes. An axiomatic description of it is in Sections 1.1, 1.2, and 1.6. This survey highlights some foundational history and some interesting recent discoveries that deserve to be better known, such as the hierarchies of axiom systems, Aristotle’s axiom as a “missing link,” Bolyai’s discovery—proved and generalized by William Jagy—of the relationship of “circle-squaring” in a hyperbolic plane to Fermat primes, the undecidability, incompleteness, and consistency of elementary Euclidean geometry, and much more. A main theme is what Hilbert called “the purity of methods of proof,” exemplified in his and his early twentieth century successors’ works on foundations of geometry.
The PedsQL™ Family Impact Module: Preliminary reliability and validity

The PedsQL Measurement Model was designed to measure health-related quality of life (HRQOL) in children and adolescents. The PedsQL 4.0 Generic Core Scales were developed to be integrated with the PedsQL Disease-Specific Modules. The newly developed PedsQL Family Impact Module was designed to measure the impact of pediatric chronic health conditions on parents and the family. The PedsQL Family Impact Module measures parent self-reported physical, emotional, social, and cognitive functioning, communication, and worry. The Module also measures parent-reported family daily activities and family relationships.



The 36-item PedsQL Family Impact Module was administered to 23 families of medically fragile children with complex chronic health conditions who either resided in a long-term care convalescent hospital or resided at home with their families.



Internal consistency reliability was demonstrated for the PedsQL Family Impact Module Total Scale Score (alpha = 0.97), Parent HRQOL Summary Score (alpha = 0.96), Family Functioning Summary Score (alpha = 0.90), and Module Scales (average alpha = 0.90, range = 0.82 - 0.97). The PedsQL Family Impact Module distinguished between families with children in a long-term care facility and families whose children resided at home.



The results demonstrate the preliminary reliability and validity of the PedsQL Family Impact Module in families with children with complex chronic health conditions. The PedsQL Family Impact Module will be further field tested to determine the measurement properties of this new instrument with other pediatric chronic health conditions.
Introductory Lectures on Contact Geometry

Though contact topology was born over two centuries ago, in the work of Huygens, Hamilton and Jacobi on geometric optics, and been studied by many great mathematicians, such as Sophus Lie, Elie Cartan and Darboux, it has only recently moved into the foreground of mathematics. The last decade has witnessed many remarkable breakthroughs in contact topology, resulting in a beautiful theory with many potential applications. More specifically, as a coherent – though sketchy – picture of contact topology has been developed, a surprisingly subtle relationship arose between contact structures and 3(and 4-) dimensional topology. In addition, the applications of contact topology have extended far beyond geometric optics to include non-holonomic dynamics, thermodynamics and more recently Hamiltonian dynamics [25, 40] and hydrodynamics . Despite it long history and all the recent work in contact geometry, it is not overly accessible to those trying to get into the field for the first time. There are a few books giving a brief introduction to the more geometric aspects of the theory. Most notably the last chapter in , part of Chapter 3 in [34] and an appendix to the book . There have not, however, been many books or survey articles (with the notable exception of [20]) giving an introduction to the more topological aspects of contact geometry. It is this topological approach that has lead to many of the recent breakthroughs in contact geometry and to which this paper is devoted. I planned these lectures when asked to give an introduction to contact geometry at the Georgia International Topology Conference in the summer of 2001. My idea was to give an introduction to the “classical” theory of contact topology, in which the characteristic foliation plays a central roll, followed by a hint at the more modern trends, where specific foliations take a back seat to dividing curves. This was much too ambitious for the approximately one and a half hours I had for these lectures, but I nonetheless decided to follow this outline in preparing these lecture notes. These notes begin with an introduction to contact structures in Section 2, here all the basic definitions are given and many examples are discussed. In the following section we consider contact structures near a point and near a surface. It is in
A Compact Forward Coupler Using Coupled Composite Right/Left-Handed Transmission Lines

A novel forward coupler using coupled composite right/left-handed (CRLH) transmission lines (TLs) is presented. Forward coupling is enhanced by the CRLH TLs, which have a considerable difference between the effective phase constants in the even and odd modes. A 10-dB forward coupler using the coupled CRLH TLs is simulated and experimentally demonstrated in the S-band. Its coupled-line length is reduced to half that of the conventional right-handed forward coupler with the same coupling.
IEEE 802.11ad/WiGig based millimeter-wave small cell systems with adjacent channel interference suppression

This paper presents a study on adjacent channel interference in millimeter-wave small cell systems based on IEEE 802.11ad/WiGig. It includes hardware prototype development, interference measurements, and performance evaluation of an interference suppression technique. The access point prototype employs three RF modules with 120° beam steering capability, thus enabling 360° coverage. Using the developed prototype, interference measurements were performed and the packet error degradation due to adjacent channel interference was observed. To mitigate the performance degradation, an interference suppression technique using a two stream receiver architecture was applied. The subsequent measurements showed improvement in EVM and also expansion of the cell's coverage area, demonstrating the effectiveness of the applied technique for small cell systems using IEEE 802.11ad/WiGig.
Boron neutron capture therapy of cancer: current status and future prospects.

Boron neutron capture therapy (BNCT) is based on the nuclear reaction that occurs when boron-10 is irradiated with low-energy thermal neutrons to yield high linear energy transfer alpha particles and recoiling lithium-7 nuclei. Clinical interest in BNCT has focused primarily on the treatment of high-grade gliomas and either cutaneous primaries or cerebral metastases of melanoma, most recently, head and neck and liver cancer. Neutron sources for BNCT currently are limited to nuclear reactors and these are available in the United States, Japan, several European countries, and Argentina. Accelerators also can be used to produce epithermal neutrons and these are being developed in several countries, but none are currently being used for BNCT.



Two boron drugs have been used clinically, sodium borocaptate (Na(2)B(12)H(11)SH) and a dihydroxyboryl derivative of phenylalanine called boronophenylalanine. The major challenge in the development of boron delivery agents has been the requirement for selective tumor targeting to achieve boron concentrations ( approximately 20 microg/g tumor) sufficient to deliver therapeutic doses of radiation to the tumor with minimal normal tissue toxicity. Over the past 20 years, other classes of boron-containing compounds have been designed and synthesized that include boron-containing amino acids, biochemical precursors of nucleic acids, DNA-binding molecules, and porphyrin derivatives. High molecular weight delivery agents include monoclonal antibodies and their fragments, which can recognize a tumor-associated epitope, such as epidermal growth factor, and liposomes. However, it is unlikely that any single agent will target all or even most of the tumor cells, and most likely, combinations of agents will be required and their delivery will have to be optimized.



Current or recently completed clinical trials have been carried out in Japan, Europe, and the United States. The vast majority of patients have had high-grade gliomas. Treatment has consisted first of "debulking" surgery to remove as much of the tumor as possible, followed by BNCT at varying times after surgery. Sodium borocaptate and boronophenylalanine administered i.v. have been used as the boron delivery agents. The best survival data from these studies are at least comparable with those obtained by current standard therapy for glioblastoma multiforme, and the safety of the procedure has been established.



Critical issues that must be addressed include the need for more selective and effective boron delivery agents, the development of methods to provide semiquantitative estimates of tumor boron content before treatment, improvements in clinical implementation of BNCT, and a need for randomized clinical trials with an unequivocal demonstration of therapeutic efficacy. If these issues are adequately addressed, then BNCT could move forward as a treatment modality.
Vision-based Robotic Arm Imitation by Human Gesture

One of the most efficient ways for a learning-based robotic arm to learn to process complex tasks as human, is to directly learn from observing how human complete those tasks, and then imitate. Our idea is based on success of Deep Q-Learning (DQN) algorithm according to reinforcement learning, and then extend to Deep Deterministic Policy Gradient (DDPG) algorithm. We developed a learning-based method, combining modified DDPG and visual imitation network. Our approach acquires frames only from a monocular camera, and no need to either construct a 3D environment or generate actual points. The result we expected during training, was that robot would be able to move as almost the same as how human hands did.
On being loud and proud: non-conformity and counter-conformity to group norms.

Most experiments on conformity have been conducted in relation to judgments of physical reality; surprisingly few papers have experimentally examined the influence of group norms on social issues with a moral component. In response to this, participants were told that they were either in a minority or in a majority relative to their university group in terms of their attitudes toward recognition of gay couples in law (Expt 1: N = 205) and a government apology to Aborigines (Expt 2: N = 110). In both experiments, it was found that participants who had a weak moral basis for their attitude conformed to the group norm on private behaviours. In contrast, those who had a strong moral basis for their attitude showed non-conformity on private behaviours and counter-conformity on public behaviours. Incidences of non-conformity and counter-conformity are discussed with reference to theory and research on normative influence.
Principles derived from the study of simple skills do not generalize to complex skill learning.

We review research related to the learning of complex motor skills with respect to principles developed on the basis of simple skill learning. Although some factors seem to have opposite effects on the learning of simple and of complex skills, other factors appear to be relevant mainly for the learning of more complex skills. We interpret these apparently contradictory findings as suggesting that situations with low processing demands benefit from practice conditions that increase the load and challenge the performer, whereas practice conditions that result in extremely high load should benefit from conditions that reduce the load to more manageable levels. The findings reviewed here call into question the generalizability of results from studies using simple laboratory tasks to the learning of complex motor skills. They also demonstrate the need to use more complex skills in motor-learning research in order to gain further insights into the learning process.
Privacy and Security in Mobile Cloud Computing: Review

Mobile cloud computing is computing of Mobile application through cloud. As we know market of mobile phones is growing rapidly. According to IDC, the premier global market intelligence firm, the worldwide Smartphone market grew 42. 5% year over year in the first quarter of 2012. With the growing demand of Smartphone the demand for fast computation is also growing. Inspite of comparatively more processing power and storage capability of Smartphone&apos;s, they still lag behind Personal Computers in meeting processing and storage demands of high end applications like speech recognition, security software, gaming, health services etc. Mobile cloud computing is an answer to intensive processing and storage demand of real-time and high end applications. Being in nascent stage, Mobile Cloud Computing has privacy and security issues which deter the users from adopting this technology. This review paper throws light on privacy and security issues of Mobile Cloud Computing.
Background subtraction techniques: a review

Background subtraction is a widely used approach for detecting moving objects from static cameras. Many different methods have been proposed over the recent years and both the novice and the expert can be confused about their benefits and limitations. In order to overcome this problem, this paper provides a review of the main methods and an original categorisation based on speed, memory requirements and accuracy. Such a review can effectively guide the designer to select the most suitable method for a given application in a principled way. Methods reviewed include parametric and non-parametric background density estimates and spatial correlation approaches.
Clustering of time-series subsequences is meaningless: implications for previous and future research

Given the recent explosion of interest in streaming data and online algorithms, clustering of time-series subsequences, extracted via a sliding window, has received much attention. In this work, we make a surprising claim. Clustering of time-series subsequences is meaningless. More concretely, clusters extracted from these time series are forced to obey a certain constraint that is pathologically unlikely to be satisfied by any dataset, and because of this, the clusters extracted by any clustering algorithm are essentially random. While this constraint can be intuitively demonstrated with a simple illustration and is simple to prove, it has never appeared in the literature. We can justify calling our claim surprising because it invalidates the contribution of dozens of previously published papers. We will justify our claim with a theorem, illustrative examples, and a comprehensive set of experiments on reimplementations of previous work. Although the primary contribution of our work is to draw attention to the fact that an apparent solution to an important problem is incorrect and should no longer be used, we also introduce a novel method that, based on the concept of time-series motifs, is able to meaningfully cluster subsequences on some time-series datasets.
A comparison of modified Howland circuits as current generators with current mirror type circuits.

Multi-frequency electrical impedance tomography (EIT) systems require stable voltage controlled current generators that will work over a wide frequency range and with a large variation in load impedance. In this paper we compare the performance of two commonly used designs: the first is a modified Howland circuit whilst the second is based on a current mirror. The output current and the output impedance of both circuits were determined through PSPICE simulation and through measurement. Both circuits were stable over the frequency ranges 1 kHz to 1 MHz. The maximum variation of output current with frequency for the modified Howland circuit was 2.0% and for the circuit based on a current mirror 1.6%. The output impedance for both circuits was greater than 100 kohms for frequencies up to 100 kHz. However, neither circuit achieved this output impedance at 1 MHz. Comparing the results from the two circuits suggests that there is little to choose between them in terms of a practical implementation.
A novel control for active interphase transformer using in a 24-pulse converter

This paper proposes a new active interphase transformer for 24-pulse diode rectifier. The proposed scheme injects a compensation current into the secondary winding of either of the two first-stage interphase transformers. For only one of the first-stage interphase transformers being active, the inverter conducted the injecting current is with a lower kVA rating [1.26% pu (Po)] compared to conventional active interphase transformers. Moreover, the proposal scheme draws near sinusoidal input currents and the simulated and the experimental total harmonic distortion of overall line currents are only 1.88% and 2.27% respectively. When the inverter malfunctions, the input line current still can keep in the conventional 24-pulse situation. A digital-signal-processor (DSP) based digital controller is employed to calculate the desired compensation current and deals with the trigger signals needed for the inverter. Moreover, a 6kW prototype is built for test. Both simulation and experimental results demonstrate the validity of the proposed scheme.
Posture stabilization of Skid Steer Wheeled Mobile Robots

This paper represents the posture stabilization of a Skid Steer Wheeled Mobile Robot (SSWMR). Although, in mobile robots lateral skidding of the wheels occurs when turning at high speed, wheels of a SSWMR laterally skid in every rotational maneuver even for low speeds yielded the non-skidding nonholonomic constraint to be violated. In order to compensate the effects of parameter uncertainties, an adaptive torque controller is developed based on tunable dynamic oscillator. The Globally Uniformly Ultimately Bounded (GUUB) stability of the system to an arbitrarily small neighborhood of the origin is proved. To demonstrate the performance of the proposed controller, modeling of a SSWMR was implemented through ADAMS.
Characterization of airborne microbial communities at a high-elevation site and their potential to act as atmospheric ice nuclei.

Bacteria and fungi are ubiquitous in the atmosphere. The diversity and abundance of airborne microbes may be strongly influenced by atmospheric conditions or even influence atmospheric conditions themselves by acting as ice nucleators. However, few comprehensive studies have described the diversity and dynamics of airborne bacteria and fungi based on culture-independent techniques. We document atmospheric microbial abundance, community composition, and ice nucleation at a high-elevation site in northwestern Colorado. We used a standard small-subunit rRNA gene Sanger sequencing approach for total microbial community analysis and a bacteria-specific 16S rRNA bar-coded pyrosequencing approach (4,864 sequences total). During the 2-week collection period, total microbial abundances were relatively constant, ranging from 9.6 x 10(5) to 6.6 x 10(6) cells m(-3) of air, and the diversity and composition of the airborne microbial communities were also relatively static. Bacteria and fungi were nearly equivalent, and members of the proteobacterial groups Burkholderiales and Moraxellaceae (particularly the genus Psychrobacter) were dominant. These taxa were not always the most abundant in freshly fallen snow samples collected at this site. Although there was minimal variability in microbial abundances and composition within the atmosphere, the number of biological ice nuclei increased significantly during periods of high relative humidity. However, these changes in ice nuclei numbers were not associated with changes in the relative abundances of the most commonly studied ice-nucleating bacteria.