Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimization of Analog Circuit Fault Diagnosis Parameters based on SVM and Genetic Algorithm

Currently, Diagnostic parameters of analog circuits fault diagnosis based on SVM are adjusted in accordance with the principle to determine the global optimum or by trial. Parameter adjustment is not considered practical diagnostic system diagnostic requirements. It can not be part of various diagnostic parameters simultaneously adjust and optimize. The results are not satisfactory. The paper presents a model of fitness function for genetic algorithm parameter optimization,It will convert the actual circuit diagnosis requires fitness indicators in the evaluation results of analog circuit fault diagnosis; In this paper, a circuit diagnosis framework for closed-loop model parameters optimization based on genetic algorithm is presented. It's all part of the system parameters to optimize simultaneously, and analyzes the convergence of the algorithm parameter search. By example the closed-loop fault diagnosis diagnosis parameter optimization framework developed under the parameters of the various parts of the impact on decision-making. This article describes the establishment of closed-loop fault diagnosis model parameter optimization framework and the search algorithm is effective and practical.
An integrated approach to energy harvester modeling and performance optimization

This paper proposes an integrated approach to energy harvester (EH) modeling and performance optimization where the complete mixed physical-domain EH (micro generator, voltage booster, storage element and load) can be modeled and optimized. We show that electrical equivalent models of the micro generator are inadequate for accurate prediction of the voltage booster's performance. Through the use of hardware description language (HDL) we demonstrate that modeling the micro generator with analytical equations in the mechanical and magnetic domains provide an accurate model which has been validated in practice. Another key feature of the integrated approach is that it facilitates the incorporation of performance enhanced optimization, which as will be demonstrated is necessary due to the mechanical-electrical interactions of an EH. A case study of a state-of-the-art vibration-based electromagnetic EH has been presented. We show that performance optimization can increase the energy harvesting rate by about 40%.
Excess deaths associated with tigecycline after approval based on noninferiority trials.

BACKGROUND On the basis of noninferiority trials, tigecycline received Food and Drug Administration (FDA) approval in 2005. In 2010, the FDA warned in a safety communication that tigecycline was associated with an increased risk of death. METHODS PubMed, EMBASE, Scopus, and ClinicalTrials.gov were searched using the terms "tigecycline" and "randomized controlled trial (RCT)" through April 2011. Excess deaths and noncure rates for both approved and nonapproved indications were examined using meta-analysis. RESULTS Ten published and 3 unpublished studies met inclusion criteria (N = 7434). No significant heterogeneity was seen for mortality (I(2 )= 0%; P = . 99) or noncure rates (I(2 )= 25%; P = . 19). Across randomized controlled trials, tigecycline was associated with increased mortality (risk difference [RD], 0.7%; 95% confidence interval [CI], 0.1%-1.2%; P = .01) and noncure rates (RD, 2.9%; 95% CI, 0.6%-5.2%; P = .01). Effects were not isolated to type of infection or comparator antibiotic regimen, and the impact on survival remained significant when limited to trials of approved indications (I(2 )= 0%; RD, 0.6%; P = . 04). A pooled analysis of the 5 trials completed by early 2005 before tigecycline was approved would have demonstrated a similar harmful effect of tigecycline on survival (I(2 )= 0%; RD, 0.7%; P = . 06). CONCLUSIONS Pooling noninferiority studies to examine survival may help ensure the safety and efficacy of new antibiotics. The association of tigecycline with excess deaths and noncure includes indications for which it is approved and marketed. Tigecycline cannot be relied on in serious infections.
Stronger constraints on non-Newtonian gravity from the Casimir effect

We review new constraints on the Yukawa-type corrections to Newtonian gravity obtained recently from gravitational experiments and from the measurements of the Casimir force. Special attention is paid to the constraints following from the most precise dynamic determination of the Casimir pressure between the two parallel plates by means of a micromechanical torsional oscillator. The possibility of setting limits on the predictions of chameleon field theories using the results of gravitational experiments and Casimir force measurements is discussed.
SNR-Adaptive Stream Weighting for Audio-MES ASR

Myoelectric signals (MESs) from the speaker's mouth region have been successfully shown to improve the noise robustness of automatic speech recognizers (ASRs), thus promising to extend their usability in implementing noise-robust ASR. In the recognition system presented herein, extracted audio and facial MES features were integrated by a decision fusion method, where the likelihood score of the audio-MES observation vector was given by a linear combination of class-conditional observation log-likelihoods of two classifiers, using appropriate weights. We developed a weighting process adaptive to SNRs. The main objective of the paper involves determining the optimal SNR classification boundaries and constructing a set of optimum stream weights for each SNR class. These two parameters were determined by a method based on a maximum mutual information criterion. Acoustic and facial MES data were collected from five subjects, using a 60-word vocabulary. Four types of acoustic noise including babble, car, aircraft, and white noise were acoustically added to clean speech signals with SNR ranging from -14 to 31 dB. The classification accuracy of the audio ASR was as low as 25.5%. Whereas, the classification accuracy of the MES ASR was 85.2%. The classification accuracy could be further improved by employing the proposed audio-MES weighting method, which was as high as 89.4% in the case of babble noise. A similar result was also found for the other types of noise.
Macroeconomic Volatility and Economic Freedom: A Cross-Country Analysis

This paper examines the empirical relationship between business cycle volatility and economic freedom across countries. In a diverse sample of 85 countries, the results suggest a significantly negative relationship between volatility and a broad measure of freedom—even after controlling for other determinants of cross-country volatility and using an instrumental variables procedure to account for the likely endogeneity of economic freedom. Among the underlying areas of the freedom index, all but the size of government component also have a significantly negative relationship with volatility. Size of government is found to have a significantly positive relationship with volatility. Measures of changes in freedom and the volatility of freedom are found to be statistically insignificant, suggesting that freedom is not among the shocks that cause business cycles. Rather, freedom appears to allow economies to better adjust to those shocks that drive business cycles. Key Words: business cycles, volatility, institutions, economic freedom
A Multi Layer Security Model for Text Messages

Of late in the field of Information Security, we have plenty of security tools which are made to protect the transmission of multimedia objects. But approaches for the security of text messages are comparatively less. In this paper, a security model is proposed which imposes the concept of secrecy over privacy for text messages. This model combines cryptography, steganography (taken as security layers) and along with that an extra layer of security has been imposed in between them. This newly introduced extra layer of security changes the format of normal encrypted message and the security layer followed by it embeds the encrypted message behind a multimedia cover object.
0 61 00 22 v 2 3 J un 2 00 7 Entanglement as a source of black hole entropy

We review aspects of black hole thermodynamics, and show how entanglement of a quantum field between the inside and outside of a horizon can account for the areaproportionality of black hole entropy, provided the field is in its ground state. We show that the result continues to hold for Coherent States and Squeezed States, while for Excited States, the entropy scales as a power of area less than unity. We also identify location of the degrees of freedom which give rise to the above entropy.
Basal bodies exhibit polarized positioning in zebrafish cone photoreceptors

The asymmetric positioning of basal bodies, and therefore cilia, is often critical for proper cilia function. This planar polarity is critical for motile cilia function but has not been extensively investigated for nonmotile cilia or for sensory cilia such as vertebrate photoreceptors. Zebrafish photoreceptors form an organized mosaic ideal for investigating cilia positioning. We report that, in the adult retina, the basal bodies of red‐, green‐, and blue‐sensitive cone photoreceptors localized asymmetrically on the cell edge nearest the optic nerve. In contrast, no patterning was seen in the basal bodies of ultraviolet‐sensitive cones or in rod photoreceptors. The asymmetric localization of basal bodies was consistent in all regions of the adult retina. Basal body patterning was unaffected in the cones of the XOPS‐mCFP transgenic line, which lacks rod photoreceptors. Finally, the adult pattern was not seen in 7‐days‐postfertilization (dpf) larvae; basal bodies were randomly distributed in all the photoreceptor subtypes. These results establish the asymmetrical localization of basal bodies in red‐, green‐, and blue‐sensitive cones in adult zebrafish retinas but not in larvae. This pattern suggests an active cellular mechanism regulated the positioning of basal bodies after the transition to the adult mosaic and that rods do not seem to be necessary for the patterning of cone basal bodies. J. Comp. Neurol. 521:1803–1816, 2013. © 2012 Wiley Periodicals, Inc.
Detection of Highly Ionized Metal Absorption Lines in the Ultracompact X-Ray Dipper 4U 1916–05

We present the high-resolution Chandra X-Ray Observatory persistent (nondip) spectrum of 4U 1916-05, which revealed narrow absorption lines from hydrogenic neon, magnesium, silicon, and sulfur, in addition to the previous identified hydrogenic and helium-like iron absorption lines. This makes 4U 1916-05 only the second of the classical X-ray dipper systems to show narrow absorption lines from elements other than iron. We propose two possible explanations for the small measured line widths (≲500-2000 km s-1), compared to the expected Keplerian velocities (>1000 km s-1) of the accretion disk in this 50 minute orbital period system, and lack of wavelength shifts (≲250 km s-1). First, the ionized absorber may be stationary. Alternatively, the line properties may measure the relative size of the emission region. From this hypothesis, we find that the emission region is constrained to be ≲0.25 times the radial extent of the absorber. Our results also imply that the ionized absorber spans a range of ionization parameters.
Similarities between eating attitudes among friendship groups in childhood: the moderating role of child anxiety.

OBJECTIVE This study explores the similarities between individual and group eating and weight concerns in 8-11-year-old children. It also evaluates whether child anxiety moderates the relationships between individual and group eating and weight concerns. METHODS One hundred and fifty four children aged 8-11 completed questionnaires concerning their friendship groups, their eating and weight concerns, and their levels of anxiety. RESULTS Children's own scores on dietary restraint, body dissatisfaction, and external eating were significantly correlated with their friendship groups' scores on dietary restraint. Child anxiety moderated the relationships between group dietary restraint and individual scores on external eating. Group levels of dietary restraint predicted higher levels of external eating in children with moderate or high anxiety. CONCLUSIONS In pre-adolescent children, peer group levels of dietary restraint are related to individual eating and weight concerns. More anxious children may be more susceptible to peer influences on their eating behaviors.
Automated Planning for Spacecraft and Mission Design

Mission design engineers iden tify a spacecraf t design and mission plan that best achieves the mission objec tives while staying within cost, mass, and operabili ty constraints. It is often easies t to evaluat e a spacecraft design in the context of a detailed mission plan. Generating plans b y hand is labor-intensive. We presen t an AI planning system tha t automatically generates and evaluates mission plans for specified spacecraf t designs. This system has been applied to design problems fro m a number of NASA missions.
Safety Verification for Probabilistic Hybrid Systems

The interplay of random phenomena and continuous real-time control deserves increased attention for instance in wireless sensing and control applications Safety verification for such systems thus needs to consider probabilistic variations of systems with hybrid dynamics In safety verification of classical hybrid systems we are interested in whether a certain set of unsafe system states can be reached from a set of initial states In the probabilistic setting, we may ask instead whether the probability of reaching unsafe states is below some given threshold In this paper, we consider probabilistic hybrid systems and develop a general abstraction technique for verifying probabilistic safety problems This gives rise to the first mechanisable technique that can, in practice, formally verify safety properties of non-trivial continuous-time stochastic hybrid systems—without resorting to point-wise discretisation Moreover, being based on arbitrary abstractions computed by tools for the analysis of non-probabilistic hybrid systems, improvements in effectivity of such tools directly carry over to improvements in effectivity of the technique we describe We demonstrate the applicability of our approach on a number of case studies, tackled using a prototypical implementation.
Relating Chemical Structure to Activity: An Application of the Neural Folding Architecture

This paper is based on the neural folding architecture (FA). The FA is a recurrent neural network architecture which is especially suited for adaptive structure processing, i.e. learning approximations of mappings from symbolic term structures to IR n. The main objective of this paper is to demonstrate that the FA can be successfully applied to approximate quantitative structure activity relationships (QSARs), which play an important role during a drug design process. Several approaches for the conversion of a QSAR problem to suitable learning tasks for the FA are presented. Finally the FA is applied to a well-known QSAR benchmark, viz. the inhibition of E. coli dihydrofolate reductase by triazines. The achieved results are compared with results of other machine learning approaches on the same QSAR benchmark, and prove that the FA is signiicantly better. activity relationships, inhibition of E. coli dihydrofolate reductase by triazines.
DNA from fecal immunochemical test can replace stool for microbiota-based colorectal cancer screening

Background: There is a significant demand for colorectal cancer (CRC) screening methods that are noninvasive, inexpensive, and capable of accurately detecting early stage tumors. It has been shown that models based on the gut microbiota can complement the fecal occult blood test and fecal immunochemical test (FIT). However, a barrier to microbiota-based screening is the need to collect and store a patient’s stool sample. Methods: Using stool samples collected from 404 patients we tested whether the residual buffer containing resuspended feces in FIT cartridges could be used in place of intact stool samples. Results: We found that the bacterial DNA isolated from FIT cartridges largely recapitulated the community structure and membership of patients’ stool microbiota and that the abundance of bacteria associated with CRC were conserved. We also found that models for detecting CRC that were generated using bacterial abundances from FIT cartridges were equally predictive as models generated using bacterial abundances from stool. Conclusions: These findings demonstrate the potential for using residual buffer from FIT cartridges in place of stool for microbiota-based screening for CRC. This may reduce the need to collect and process separate stool samples and may facilitate combining FIT and microbiota-based biomarkers into a single test. Additionally, FIT cartridges could constitute a novel data source for studying the role of the microbiome in cancer and other diseases.
Neural-Network Decoupled Sliding-Mode Control for Inverted Pendulum System with Unknown Input Saturation

In this paper, a neural-network decoupled sliding-mode control (NNDSMC) scheme is proposed for inverted pendulum system with unknown input saturation. The input saturation is approximated by a smooth affine function according to the mean-value theorem. By decoupling the whole inverted pendulum system into two second-order subsystems, two sliding manifolds are designed for each subsystem, in which the first sliding manifold includes an intermediate variable related to the second one. Finally, a nonsingular terminal sliding-mode control is employed for both subsystems by using a simple sigmoid neural network to approximate the unknown system nonlinearity. Simulations show the effectiveness of the presented method.
Design of an optimized fractional order fuzzy PID controller for a piezoelectric actuator

This paper deals with piezoelectric actuators control. A fractional order fuzzy PID controller is designed for this class of systems with the help of particle swarm optimization (PSO) algorithm. The controller parameters are defined as an optimization problem and the PSO is used to find their optimal values. The proposed approach validation and their performances evaluation are done through simulation.
The Impact of Dimensionality on Natural Language Route Directions in Unconstrained Dialogue

In this paper we examine the influence of dimensionality on natural language route directions in dialogue. Specifically, we show that giving route instructions in a quasi-3d environment leads to experiential descriptive accounts, as manifested by a higher proportion of location descriptions, lack of chunking, use of 1st person singular personal pronouns, and more frequent use of temporal and spatial deictic terms. 2d scenarios lead to informative instructions, as manifested by a frequent use of motion expressions, chunking of route elements, and use of mainly 2nd person singular personal pronouns.
Decision Support for Test Management and Scope Selection in a Software Product Line Context

In large software organizations with a product line development approach, system test planning and scope selection is a complex tasks for which tool support is needed. Due to repeated testing: across different testing levels, over time (test for regression) as well as of different variants, the risk of double testing is large as well as the risk of overlooking important tests, hidden by the huge amount of possible tests. This paper discusses the need and challenges of providing decision support for test planning and test selection in a product line context, and highlights possible paths towards a pragmatic implementation of context-specific decision support of various levels of automation. With existing regression testing approaches it is possible to provide automated decision support in a few specific cases, while test management in general may be supported through visualization of test execution coverage, the testing space and the delta between the sufficiently tested system and the system under test. A better understanding of the real world context and how to map research results to the same is needed.
Simulating the Sunyaev-Zeldovich Effect(s): Including Radiative Cooling and Energy Injection by Galactic Winds

We present results on the thermal and kinetic Sunyaev-Zeldovich (SZ) effects from a sequence of high-resolution hydrodynamic simulations of structure formation, including cooling, feedback, and metal injection. These simulations represent a self-consistent thermal model that incorporates ideas from the "preheating" scenario while preserving good agreement with the low-density intergalactic medium at z ~ 3 probed by the Lyα forest. Four simulations were performed, at two different resolutions with and without radiative effects and star formation. The long-wavelength modes in each simulation were the same, so we can compare the results on an object-by-object basis. We demonstrate that our simulations are converged to the subarcminute level. The effect of the additional physics is to suppress the mean Comptonization parameter by 20% and to suppress the angular power spectrum of fluctuations by just under a factor of 2 in this model, while leaving the source counts and properties relatively unchanged. We quantify how non-Gaussianity in the SZ maps increases the sample variance over the standard result for Gaussian fluctuations. We identify a large scatter in the Y-M relation that will be important in searches for clusters using the SZ effect(s).
M31’s Undisturbed Thin Disk of Globular Clusters

We show that there is a subsystem of the M31 globular clusters with thin-disk kinematics. These clusters span the entire metallicity range of the M31 globular cluster system, in contrast to the (thick) disk globular clusters in the Milky Way, which are predominantly metal-rich. Disk globular clusters are found across the entire disk of M31 and form ~40% of the clusters projected on its disk. The existence of such a disk system suggests that there was a relatively large thin disk in place very early in M31's history. Accurate measures of the ages of these clusters will constrain the epoch of disk formation in M31. There is currently no strong evidence for differences in age between Milky Way and M31 globular clusters. While age differences are subtle for old populations, it is unlikely that disk clusters with [Fe/H] around -2.0 were formed after significant star formation began in the galaxy, as the protocluster gas would be enriched by supernova ejecta. Thus it is likely that M31 had a rather large disk in place at early epochs. The very existence of such a cold disk means that M31 has suffered no mergers with an object of 10% or more of the disk mass since the clusters were formed. This makes the suggestion of Brown et al. that M31 could have suffered an equal-mass merger 6-8 Gyr ago less viable.