Miracle-dz/UniFAR-FTUs huggingface dataset:
Lower Bounds for Quantum Parameter Estimation

The laws of quantum mechanics place fundamental limits on the accuracy of measurements and, therefore, on the estimation of unknown parameters of a quantum system. In this paper, we prove lower bounds on the size of confidence regions reported by any region estimator for a given ensemble of probe states and probability of success. Our bounds are derived from a previously unnoticed connection between the size of confidence regions and the error probabilities of a corresponding binary hypothesis test. In group-covariant scenarios, we find that there is an ultimate bound for any estimation scheme, which depends only on the representation-theoretic data of the probe system, and we evaluate its asymptotics in the limit of many systems, establishing a general Heisenberg limit for region estimation. We apply our results to several examples, in particular, to phase estimation, where our bounds allow us to recover the well-known Heisenberg and shot-noise scaling.
Linear and Nonlinear Control of Distributed Power Generation Systems

In this paper, different control structures applied to distributed power generation system are discussed. Implementation of proportional-integral (PI), proportional-resonant (PR), hysteresis and dead beat controller in different reference frames is also treated. An evaluation in terms of current harmonic distortion when running in steady state condition is made. Additionally, the controllers' behavior in transient operation such as step in current reference and single phase fault in the utility grid has also been studied. Experimental results are presented for their evaluation
Fabrication of metallic heat exchangers using sacrificial polymer mandrils

This paper demonstrates the use of poly(dimethylsiloxane) (PDMS), polyurethane (PU), epoxy, and poly(methyl methacrylate) (PMMA) as mandrils to fabricate metallic heat exchangers having 300-700 /spl mu/m internal channels. The mandrils were prepared using two soft lithographic techniques-replica molding and microembossing. To fabricate the heat exchangers, the polymeric mandrils were coated with a thin layer of metal by thermal evaporation or sputtering; this layer acted as the cathode for electrodeposition of a shell of nickel or copper that was 100 /spl mu/m thick. The polymers were removed by burning them out at 400/spl deg/C in air, or by dissolving them with a tetrahydrofuran solution of tetrabutylammonium fluoride. Studies of heat dissipation showed that the nickel heat exchangers with features that range in size from 150-750 /spl mu/m have thermal resistances ranging from 0.07 to 0.12/spl deg//sup -2/C W/sup -1/ cm at flow rates of water of /spl sim/20 L h/sup -1/ and pressures of 8.6-83/spl times/10/sup 3/ N m/sup -2/.
Threat as a feature in visual semantic object memory

Threatening stimuli have been found to modulate visual processes related to perception and attention. The present functional magnetic resonance imaging (fMRI) study investigated whether threat modulates visual object recognition of man‐made and naturally occurring categories of stimuli. Compared with nonthreatening pictures, threatening pictures of real items elicited larger fMRI BOLD signal changes in medial visual cortices extending inferiorly into the temporo‐occipital (TO) “what” pathways. This region elicited greater signal changes for threatening items compared to nonthreatening from both the natural‐occurring and man‐made stimulus supraordinate categories, demonstrating a featural component to these visual processing areas. Two additional loci of signal changes within more lateral inferior TO areas (bilateral BA18 and 19 as well as the right ventral temporal lobe) were detected for a category–feature interaction, with stronger responses to man‐made (category) threatening (feature) stimuli than to natural threats. The findings are discussed in terms of visual recognition of processing efficiently or rapidly groups of items that confer an advantage for survival. Hum Brain Mapp, 2013. © 2012 Wiley Periodicals, Inc.
A novel concatenation scheme for turbo code and unitary space-time modulation

We propose a scheme of utilizing unitary space-time symbol based nonbinary turbo code (USTSBTC) for wireless communication systems with multiple antennas over extremely fast Rayleigh block fading channels, where no channel state information (CSI) is available. We give an effective way of applying USTSBTC as an alternative to the original unitary space-time modulation and present an effective unitary space-time (UST) symbol based BCJR-like maximum a posteriori (MAP) decoding algorithm, which can greatly improve the system performance. Since a constellation with a small size of T can also works well for a long coherence interval, our scheme fits for more conditions. With iterative decoding and/or multi-antennas, it can further improve the system performance, which helps to give an acceptable bit error rate. Specially, we demonstrate for the first time by simulations that when combined with a powerful error correcting code, transmit diversity would be more effective when a very low bit error rate is needed.
Toward Text Understanding: Integrating Relevance-tagged Corpus and Automatically Constructed Case Frames

This paper proposes a wide-range anaphora resolution system toward text understanding. This system resolves zero, direct and indirect anaphors in Japanese texts by integrating two sorts of linguistic resources: a hand-annotated corpus with various relations and automatically constructed case frames. The corpus has relevance tags which consist of predicate-argument relations, relations between nouns and coreferences, and is utilized for learning parameters of the system and testing it. The case frames are indispensable knowledge both for detecting zero/indirect anaphors and estimating appropriate antecedents. Our preliminary experiments showed promising results.
A multifaceted workplace intervention for low back pain in nurses' aides: a pragmatic stepped wedge cluster randomised controlled trial

Abstract This study established the effectiveness of a workplace multifaceted intervention consisting of participatory ergonomics, physical training, and cognitive–behavioural training (CBT) for low back pain (LBP). Between November 2012 and May 2014, we conducted a pragmatic stepped wedge cluster randomised controlled trial with 594 workers from eldercare workplaces (nursing homes and home care) randomised to 4 successive time periods, 3 months apart. The intervention lasted 12 weeks and consisted of 19 sessions in total (physical training [12 sessions], CBT [2 sessions], and participatory ergonomics [5 sessions]). Low back pain was the outcome and was measured as days, intensity (worst pain on a 0-10 numeric rank scale), and bothersomeness (days) by monthly text messages. Linear mixed models were used to estimate the intervention effect. Analyses were performed according to intention to treat, including all eligible randomised participants, and were adjusted for baseline values of the outcome. The linear mixed models yielded significant effects on LBP days of −0.8 (95% confidence interval [CI], −1.19 to −0.38), LBP intensity of −0.4 (95% CI, −0.60 to −0.26), and bothersomeness days of −0.5 (95% CI, −0.85 to −0.13) after the intervention compared with the control group. This study shows that a multifaceted intervention consisting of participatory ergonomics, physical training, and CBT can reduce LBP among workers in eldercare. Thus, multifaceted interventions may be relevant for improving LBP in a working population.
Evaluation of Intracellular Polyphosphate Dynamics in Enhanced Biological Phosphorus Removal Process using Raman Microscopy

A Raman microscopy method was developed and successfully applied to evaluate the dynamics of intracellular polyphosphate in polyphosphate-accumulating organisms (PAOs) in enhanced biological phosphorus removal (EBPR) processes. Distinctive Raman spectra of polyphosphates allowed for both identification of PAOs and quantification of intracellular polyphosphate during various metabolic phases in a lab-scale EBPR process. Observation of polyphosphate at individual cell level indicated that there are distributed states of cells in terms of polyphosphate content at any given time, suggesting that agent-based distributive modeling would more accurately reflect the behavior of an EBPR process than the traditional average-state based modeling. The results, for the first time, showed that the polyphosphate depletion or replenishment observed at the overall population level were collective results from shifts/ transition in the distribution of abundance of PAOs with different amounts of polyphosphate inclusions during EBPR. Imaging construction based on simultaneous quantification of intracellular polyphosphate and protein revealed the spatial distribution of polyphosphate inside cells and showed that the polyphosphates accumulate in smaller or larger aggregates, rather than being evenly distributed within the cytoplasm. The results demonstrated that Raman microscopy will allow for detailed cellular-level evaluation of polyphosphate metabolism and dynamics in EBPR processes and revealed mechanism insights, which otherwise would not be obtained using a traditional bulk measurement-based approach.
Genetic Programming Based Ensemble System for Microarray Data Classification

Recently, more and more machine learning techniques have been applied to microarray data analysis. The aim of this study is to propose a genetic programming (GP) based new ensemble system (named GPES), which can be used to effectively classify different types of cancers. Decision trees are deployed as base classifiers in this ensemble framework with three operators: Min, Max, and Average. Each individual of the GP is an ensemble system, and they become more and more accurate in the evolutionary process. The feature selection technique and balanced subsampling technique are applied to increase the diversity in each ensemble system. The final ensemble committee is selected by a forward search algorithm, which is shown to be capable of fitting data automatically. The performance of GPES is evaluated using five binary class and six multiclass microarray datasets, and results show that the algorithm can achieve better results in most cases compared with some other ensemble systems. By using elaborate base classifiers or applying other sampling techniques, the performance of GPES may be further improved.
Image Denoising using Median Filter and DWT Adaptive Wavelet Threshold

Image de-noisingplays an important role in satellite communication and signal processing applications. In thispaper, we propose an medianfilter and adaptive wavelet thresholding shrinkage technique for image de-noising. The noisy image ispassedthroughpre-processingmedianfilter to remove the noise and twoleveldiscretewavelettransformisappliedwhichispassedthrough post-processingmedianfilter to remove noise. Finally, Bayes thresholding shrinkageisapplied to all sub-bands to obtain de-noised image. The Inverse discretewavelettransformisapplied to reconstruct the image. The Image qualityismeasured in terms of the PSNR and isobservedthat the proposedmethodobtainsbetter PSNR compared to existingmethod.
Wavelet denoising, pattern recognition and correlation analysis of toad's neural signals

In order to determine the temporal points of action potentials in the neural signals and the correlation between neural signals, and to form an interface with the hardware system, a series of methods for signal denoising, pattern recognition, correlation analysis and primary signal coding are accepted. A set of toad's neural signals are used as the experimental object. The results show that in combination with the wavelet technique, the method of pattern recognition is effective when non-stationary neural signals are processed, the correlation analysis could describe the relationship between signals,and signal coding could initially form a communication interface with the hardware system.
Photothermal excitation of microcantilevers in liquids

We report the selective excitation of the flexural modes of microcantilevers in aqueous solutions, by applying the photothermal excitation technique. The experiments show that a particular vibration mode can be efficiently excited by focusing the intensity-modulated laser beam on regions of high curvature of the vibration shape. In addition, the resulting resonant peaks in liquid appear distorted by an amplitude component that decreases with the frequency. This distortion produces a shift of the resonance to lower frequencies. A theoretical model based on the transformation of optical energy into mechanical energy via an intermediate thermal stage is proposed to interpret the experimental results. The theory shows that the driven oscillation of the cantilever depends on the curvature of the eigenmode at the excitation position and the heating induced by the excitation laser, which decreases with the frequency. The results reported here set the basis for efficient excitation of high vibration modes in liqu.
Apoptotic cell instillation after bleomycin attenuates lung injury through hepatocyte growth factor induction

Apoptotic cell clearance by macrophages and neighbouring tissue cells induces hepatocyte growth factor (HGF) secretion. HGF plays a key role in alveolar epithelial regeneration and reconstruction after lung injury. Direct in vivo exposure to apoptotic cells enhances HGF production, resulting in attenuation of pulmonary injury. We investigated the direct effect of in vivo exposure to apoptotic cells in bleomycin-stimulated lungs (2 days old) on HGF induction. Furthermore, sequential changes of bleomycin-induced HGF production following apoptotic cell instillation related to the changes in inflammatory and fibrotic responses were assessed. At 2 h after apoptotic cell instillation into bleomycin-stimulated lungs, the levels of HGF mRNA and protein production, and apoptotic cell clearance by alveolar macrophages were enhanced. Furthermore, HGF induction persistently increased following apoptotic cell instillation up to 21 days after bleomycin treatment. Apoptotic cell instillation attenuated bleomycin-induced pro-inflammatory mediator production, inflammatory cell recruitment and total protein levels. Apoptotic cell instillation also induced antiapoptotic and antifibrotic effects. These anti-inflammatory and antiapoptotic effects could be reversed by co-administration of HGF-neutralising antibody. These findings indicate that in vivo exposure to apoptotic cells enhances transcriptional HGF production in bleomycin-stimulated lungs, resulting in attenuation of lung injury and fibrosis.
CP-FPGA: Computation data-aware software/hardware co-design for nonvolatile FPGAs based on checkpointing techniques

With the booming trend of internet of things (IoT), reconfigurable devices, such as FPGAs, have drawn lots of attentions due to their flexible and high-performance capability. However, commercial FPGAs suffer from high leakage power consumption, which makes zero-leakage nonvolatile FPGA (nvFPGA) promising. This paper proposes a hardware/ software co-design based nvFPGA with efficient checkpointing strategy. With nonvolatile checkpointing BRAM (CBRAM), it maintains both computation data as well as configuration when power-off to avoid expensive rollbacks due to data loss. A checkpointing location-aware technique is used to balance computation rollback overheads and backup energy. Experimental results show that the proposed checkpointing strategy can reduce 45.8% backup data of nvFPGA when system-level power gating happens.
Plans and Exogeneity: The Genetic-Teleological Dispute Revisited

This paper presents empirical results testing the nature of output in output-plans relations for net material product and consumption for seven European CMEA countries, 1960-1985. The dispute between the genetic and teleological schools of central planning is discussed. In general, a plan is defined as teleological if its conditional distribution does not contain information on output. It is found that the hypothesis of teleological planning can be maintained (with some reservations) for the U.S.S.R. and that of genetic planning for Hungary. For the remaining countries examined, results are less conclusive. Copyright 1990 by Royal Economic Society.
Modeling Laser Intensities For Simultaneous Localization and Mapping

The objective of this letter is to develop a data-driven model of laser intensities and investigate its usage for simultaneous localization and mapping (SLAM) in the field of robotics. In contrast to the standard usage of laser scanners in SLAM to generate geometric models of the environment, the research work on the applications of laser intensities is rather limited. A typical laser scanner measures the distance to an object as well as quantifies the received optical power after reflection which is termed as intensity. The most interesting and relevant aspect of intensities in context of this letter is that they are dependent on an intrinsic surface property i.e., reflectivity as well as extrinsic parameters such as the distance to the surface and angle of incidence with respect to the surface normal. This letter focuses on modeling the influence of extrinsic parameters on intensities to acquire a pose-invariant measure of surface reflectivity. This measure is used in an extension of Hector SLAM in which a robot simultaneously acquires a geometric model augmented with surface reflectivity characteristics. An extensive experimental evaluation is carried out in an indoor environment to highlight the advantages and characteristics of the data-driven model and the proposed Hector SLAM extension.
Evaluation of Bleed Valve Rate Requirements in Nonlinear Control of Rotating Stall on Axial Flow Compressors

In this paper we evaluate the actuator rate requirements for control of rotating stall using a bleed valve and provide tools for predicting these requirements. Modiication of both the stable and unstable parts of the compressor characteristic via addition of continuous air injection serves to reduce the requirement of a bleed valve used for the purpose of rotating stall stabilization. Analytical tools based on low order models (2-3 states) and simulation tools based on a reduced order model (37 states) are described. A bleed actuator rate limit study is presented to compare the actuator requirements predicted by theory, simulation, and experiment. The comparisons show that the predictions obtained from theory and simulations share the same trend as the experiments, with increasing accuracy as the complexity of the underlying model increases. Some insights on the design of a bleed-compressor pair are given. A amplitude of rst Fourier mode A nom amplitude of rst Fourier mode of fully developed stall cell C x axial ow velocity noise level of the system expressed as a percentage of J throttle coeecient, T () = p J squared amplitude of rst Fourier mode, J = A 2 K X gain estimation from method X K RS gain for control of rotating stall in Liaw-Abed control law K SU gain for control of surge in Eveker et al. 9] control law R X rate estimation from method X U mean rotor speed u bleed valve control eeort u mag magnitude saturation of the bleed actuator as percentage of u rate bleed valve rate limit in rotor revolutions for valve to open from fully closed P pressure rise nondimensionalized axial ow velocity, = C x =U at peak of compressor characteristic T () nondimensionalized throttle characteristic as a function of nondimensionalized pressure rise, = P=(U 2) at peak of compressor characteristic c () nondimensionalized compressor characteristic as a function of
Clock Gated Single-Edge-Triggered Flip-Flop Design with Improved Power for Low Data Activity Applications

In this paper, the proposed flip-flop reduces power consumption by reducing the clock switching power that was wasted otherwise. Unlike many other gated flip-flops, the proposed gated flip-flop has state retention property to save power and to switch circuit between idle and active modes smoothly. The feedback path is also improved in the proposed flip-flop to decrease power dissipation. The proposed clock-gating scheme only requires 4 transistors, thus occupies the small silicon area. Further, the proposed clock gating network can be shared among a group of flip-flops to reduce the power and area overhead of the gating network. The simulation results show that for all supply voltages, the proposed flip-flop has the least power dissipation among all the designs for low switching activities. The proposed flip-flop has up to 7.82 times power improvement than the existing flip-flops. However, for 100% data activity, the proposed FF consumes up to 2.71 times power than the existing flip-flops. The proposed clock gated flip-flop structure is best suited for applications where input signal switching activity is low and speed is not a crucial factor.
Gene Replacement Analysis of the Butyrolactone Autoregulator Receptor (FarA) Reveals that FarA Acts as a Novel Regulator in Secondary Metabolism of Streptomyces lavendulae FRI-5

ABSTRACT IM-2 [(2R,3R,1′R)-2-1′-hydroxybutyl-3-hydroxymethyl γ-butanolide] is a γ-butyrolactone autoregulator which, inStreptomyces lavendulae FRI-5, switches off the production of d-cycloserine but switches on the production of a blue pigment and several nucleoside antibiotics. To clarify the in vivo function of an IM-2-specific receptor (FarA) in the IM-2 signaling cascade of S. lavendulae FRI-5, a farA deletion mutant was constructed by means of homologous recombination. On several solid media, no significant difference in morphology was observed between the wild-type strain and the farA mutant (strain K104), which demonstrated that the IM-2–FarA system does not participate in the morphological control of S. lavendulaeFRI-5. In liquid media, the farA mutant overproduced nucleoside antibiotics and produced blue pigment earlier than did the wild-type strain, suggesting that the FarA protein acts primarily as a negative regulator on the biosynthesis of these compounds in the absence of IM-2. However, contrary to the IM-2-dependent suppression ofd-cycloserine production in the wild-type strain, overproduction of d-cycloserine was observed in thefarA mutant, indicating for the first time that the presence of both IM-2 and intact FarA are necessary for the suppression of d-cycloserine biosynthesis.
Strong Interactions and Stability in the DGP Model

The model of Dvali, Gabadadze, and Porrati (DGP) gives a simple geometrical setup in which gravity becomes 5-dimensional at distances larger than a length scale lambda(DGP). We show that this theory has strong interactions at a length scale lambda(3) similar to (lambda(DGP)(2)/M-P)(1/3). If lambda(DGP) is of order the Hubble length, then the theory loses predictivity at distances shorter than lambda(3) similar to 1000 km. The strong interaction can be viewed as arising from a longitudinal 'eaten Goldstone' mode that gets a small kinetic term only from mixing with transverse graviton polarizations, analogous to the case of massive gravity. We also present a negative-energy classical solution, which can be avoided by cutting off the theory at the same scale scale lambda(3). Finally, we examine the dynamics of the longitudinal Goldstone mode when the background geometry is curved.