Miracle-dz/UniFAR-FTUs huggingface dataset:
Perturbation approximation for higher modes in nearly regular two-dimensional cavities

A perturbation theory for weakly distorted regular cavity which has classical ray trajectories lying on invariant tori, is constructed to a higher perturbation order, than for the general case. This is possible because of a special structure of semi-classical eigenvalues for integrable Hamiltonians. The perturbation magnitude here has an order of a characteristic wavelength of a mode instead of usual wavelength square. The results are expressed in solutions of the Hill equation. The set includes modes localized along stable periodic ray trajectories; scar modes, corresponding to unstable periodic trajectories; weakly distorted modes of regular cavity, and intermediate cases. The application of the method to square, circular and elliptical cavities is outlined.
An Efficient Parametric Model-based Framework for Recursive Frequency/Spectrum Estimation of Nonstationary Signal

The manuscript intends to a design a general form of computationally efficient parametric mechanism based model to estimate the recursive frequency/spectrum and describe the nonlinear signals which consists of diverse degrees of nonlinearity and and indiscreet units. The time variant frequency estimation is defined as the as a time-varying model recognizable proof issue in which faulty/failure data are evaluated by model coefficients. In this, anestimation approach of QR-disintegration based recursive slightest M-gauge (QRRLM) is utilized for estimation of recursive time-vareint model coefficients in non-linear environment conditionby utilizing M-estimation. Here, a Veriable Forgetting Factor Control (VFFC) are designed to enhance the exection of QRRLM mechanism in nonlinear condition. In this, a hypothetical deduction and re-enactments approaches were used which helps to perform VFFC determination. The resultant VFFC-QRRLM estimation can confine and limit the faulty unitswhile dealing with different degrees of nonlinearvariations. Recreation comes about demonstrate that the proposed VFF-QRRLM calculation is more vigorous and exact than traditional recursive minimum squares-based techniques in evaluating both time-shifting narrowband recurrence segments and broadband otherworldly segments with incautious parts. Potential uses of the proposed technique can be found in quality force checking, online deficiency location, and discourse examination.
Why Plant Volatile Analysis Needs Bioinformatics – Detecting Signal from Noise in Increasingly Complex Profiles

: Plant volatile analysis may be the oldest form of what now is called plant “metabolomic” analysis. A wide array of volatile organic compounds (VOCs), such as alkanes, alcohols, iso-prenoids, and esters, can be collected simultaneously from the plant headspace, either within the laboratory or in the field. In-creasingly faster and more sensitive analysis techniques allow detection of an ever-growing number of compounds in decreasing concentrations. However, the myriads of data becoming available from such experiments do not automatically increase our ecological and evolutionary understanding of the roles these VOCs play in plant-insect interactions. Herbivores and par-asitoids responding to changes in VOC emissions are able to perceive minute changes within a complex VOC background. Plants modified in genes involved in VOC synthesis may be valuable for the evaluation of changes in plant-animal interactions compared to tests with synthetic compounds, as they allow changes to be made within the context of a more complex profile. We argue that bioinformatics is an essential tool to integrate statistical analysis of plant VOC profiles with insect behavioural data. The implementation of statistical techniques such as multivariate analysis (MVA) and meta-analysis is of the utmost importance to interpreting changes in plant VOC mixtures. MVA focuses on differences in volatile patterns rather than in single compounds. Therefore, it more closely resembles the information processing in insects that base their behavioural decisions on differences in VOC profiles between plants. Meta-analysis of different datasets will reveal general patterns pertaining to the ecological role of VOC in plant-insect interactions. Successful implementation of bioinformatics in VOC research also includes the development of MVA that integrate time-resolved chemical and behavioural analyses, as well as databases that link plant VOCs to their effects on insects.
Kernel Estimation of Conditional Copula Densities

In many cases, the dependence structure between random variables varies according to the values of measured covariates. A natural approach studying these type of models is the usage of conditional copulas. Here we provide an introduction to this concept and propose a novel fully nonparametric method for the estimation of conditional copula densities. Our procedure is based on transformation kernels combined with local linear regression. The asymptotic properties are studied and a bandwidth selection procedure is suggested. We analyze the performance of this estimator in a simulation study containing a variety of scenarios, using univariate as well as multivariate covariates. In all scenarios, the method proved to work well and improves upon an estimator that does not take the covariates into account.
Bases of standard modules for aﬃne Lie algebras of type

ABSTRACT Feigin-Stoyanovsky’s type subspaces for aﬃne Lie algebras of type have monomial bases with a nice combinatorial description. We describe bases of whole standard modules in terms of semi-infinite monomials obtained as “a limit of translations” of bases for Feigin-Stoyanovsky’s type subspaces.
Robust Hough Transform with Edge Strength

—The Hough transform (HT) is a well-known method for detecting analytical shapes represented by a number of free parameters. However the basic property of the HT, the one-to-many mapping from an image space to a Hough space, causes noise sensitivity and therefore distortion. In this paper, the Edge Strength Hough Transform (ESHT) is proposed to decrease the distortion due to noise sensitivity and applied to line detection. The ESHT is different from the HT in that it uses broadened edge with edge strength based on gradients, which makes it possible to decrease the effect of noise and achieve robust detection. Though the ESHT requires two crucial parameters – broadening parameter and decreasing parameter – to broaden the traditional 1-pixel-wide edge into arbitrary width and to set the exponentially decreasing strength, they can be decided with the information given before the transform. Formal analyses and examples show that the proposed method can decrease distortion.
New Members in the Galaxy Group Around Giant Radio Galaxy DA 240

With new spectroscopic observations of group candidates around the giant radio galaxy DA 240, we have identified five new group members, increasing the number to twenty-five. While all the new members are located some distance from the host galaxy, two of them lie in one of the radio lobes, and the rest are found at a distance from the radio components. The new group members reinforce our earlier conclusion that the distribution of the DA 240 group with respect to the radio lobes is unusual among giant radio galaxy host environments.
Block-diagonal similarity renormalization group and effective nucleon-nucleon interactions

We apply the block-diagonal similarity renormalization group to a simple toy-model for the nucleon-nucleon (NN) interaction in the 1S0 channel, aiming to analyze the complementarity between the explicit and the implicit renormalization approaches in nuclear physics. By explicit renormalization we mean the methods based on the wilsonian renormalization group in which high-energy modes above a given cutoff scale are integrated out while their effects are replaced by scale dependent effective interactions consistently generated in the process. We call implicit renormalization the usual procedure of cutoff effective theories in which the high-energy modes above the cutoff scale are simply removed and their effects are included through parametrized cutoff dependent counterterms whose strengths are fixed by fitting low-energy data. We compare the effective interactions obtained in both schemes and find a wide range of cutoff scales where they overlap. We further analyze the role played by the one-pion exchange (OPE) considering a δ-shell plus OPE representation for the NN interaction.
Error-in-variables models in calibration

In many calibration operations, the stimuli applied to the measuring system or instrument under test are derived from measurement standards whose values may be considered to be perfectly known. In that case, it is assumed that calibration uncertainty arises solely from inexact measurement of the responses, from imperfect control of the calibration process and from the possible inaccuracy of the calibration model. However, the premise that the stimuli are completely known is never strictly fulfilled and in some instances it may be grossly inadequate. Then, error-in-variables (EIV) regression models have to be employed. In metrology, these models have been approached mostly from the frequentist perspective. In contrast, not much guidance is available on their Bayesian analysis. In this paper, we first present a brief summary of the conventional statistical techniques that have been developed to deal with EIV models in calibration. We then proceed to discuss the alternative Bayesian framework under some simplifying assumptions. Through a detailed example about the calibration of an instrument for measuring flow rates, we provide advice on how the user of the calibration function should employ the latter framework for inferring the stimulus acting on the calibrated device when, in use, a certain response is measured.
On the global Structure of Robinson–Trautman space-times

The global structure of Robinson–Trautman space-times is studied. When the space-time topology is R+ x R x S2 it is shown that all Robinson–Trautman space-time can be C117 extended (in the vacuum Robinson–Trautman class of metrics) beyond the r = 2m 'Schwarzschild-like' event horizon; evidence is given supporting the conjecture, that no smooth extensions beyond the r = 2m event horizon exist unless the metric is the Schwarzschild one. When the space-time topology is R+ x R x 2M, with 2M a higher genus surface, and the mass parameter m is negative, Schwarzchild-like event horizons are shown to occur. The Proofs of these results are based on the derivation of a detailed asymptotic expansion describing the long-time behaviour of the solutions of a nonlinear parabolic equation.
Constrained phase retrieval: when alternating projection meets regularization

Simplicity and few finely tuned parameters are the main advantages of alternating projection (AP) methods, a fundamental class of phase retrieval (PR) methods in the optical imaging field. However, AP methods often suffer from low-quality imaging when few diffraction patterns are recorded. Regularized PR methods avoid this deficiency by using some proper regularization models, but many finely tuned parameters are needed. In this work, we propose a novel unified framework called constrained PR (ConPR), which brings the AP method and the regularization approach together. The proposed ConPR framework not only can recover high-quality images from few diffraction patterns, but also does not need fine-tuning of the parameters. Our proposed generalized constrained PR optimization model consists of a relation function term, a regularization term, and a measurement constraint. The measurement constraint ensures that the recovered image matches with the measurement, and the regularization term can impose some desirable properties on the recovered image. The relation function promotes the approximation of the two underlying variables. The sparsity under the block-matching and 3D filtering frame is incorporated into the proposed ConPR framework. The problem formulation consists of an image updating sub-problem and a constrained optimization sub-problem. The epigraph set of the data fidelity function is defined, and the constrained optimization sub-problem is solved via the epigraph concept. Diffraction imaging from one noisy coded diffraction pattern demonstrates the effectiveness of the proposed algorithm.
Transcriptome Analysis of Ozone-Responsive Genes in Leaves of European Beech (Fagus sylvatica L.)

Fagus sylvatica O-methyltransferases (ribulose-1,5-bisphosphate carboxylase/oxygenase small subunit [rbcS], WRKY-type transcription factor, ultraviolet-B-repressible protein, aquaporine, glutathione S-transferase, catalase, caffeic acid O-methyltransferase, and pathogenesis-related protein 1 [PR1])
Stabilisation to input‐to‐state stability for continuous‐time dynamical systems via event‐triggered impulsive control with three levels of events

This study investigates the issue of stabilisation to input-to-state stability (ISS) by event-triggered impulsive control (ETIC) for continuous-time dynamical systems (CDSs) with external inputs/disturbances. The CDSs are more general systems with possible multiple vector fields and dynamics. The ETIC scheme is based on three key indices: threshold value, control-free index, and check period, and it is executed by designing three levels of events from which ETIC is triggered. Both ETIC and ETIC with time-delays (delayed ETIC) are studied, respectively, and the criteria for ISS are derived for CDSs under ETIC. Thus the stabilisation to ISS is achieved for CDSs by the designed ETIC with or without time delays. The data dropout of ETIC is also investigated, where the maximal allowable dropout rates are estimated, respectively. It shows that the proposed ETIC scheme has advantages over the reported event-triggered control and has robustness with respect to the network-induced time-delays although larger time-delays might lead to a slower convergence speed for the stabilisation to ISS. Finally, two examples with numerical simulations are given to illustrate the obtained results.
The distance to the Small Magellanic Cloud from multiband period-luminosity relations for classical Cepheids and its dependence on metallicity

We present a distance determination to the Small Magellanic Cloud (SMC) using optical and near-infrared photometry from OGLE and IRSF. Applying a multiband method to V, I, J, H and K OGLE and IRSF data, we measured the SMC true distance modulus and mean reddening. Comparing our results with accurate distances to the LMC and SMC obtained from eclipsing binary systems, we conclude that the dependence of Cepheid magnitudes on metallicity is very small (< 0.07 mag/dex) in all bands.
Integrated fault estimation and fault‐tolerant control for stochastic systems with Brownian motions

This paper presents an integrated robust fault estimation and fault‐tolerant control technique for stochastic systems subjected to Brownian parameter perturbations. The augmented system approach, unknown input observer method, and optimization technique are integrated to achieve robust simultaneous estimates of the system states and the means of faults concerned. Meanwhile, a robust fault‐tolerant control strategy is developed by using actuator and sensor signal compensation techniques. Stochastic linear time‐invariant systems, stochastic systems with Lipschitz nonlinear constraint, and stochastic systems with quadratic inner‐bounded nonlinear constraint are respectively investigated, and the corresponding fault‐tolerant control algorithms are addressed. Finally, the effectiveness of the proposed fault‐tolerant control techniques is demonstrated via the drivetrain system of a 4.8 MW benchmark wind turbine, a 3‐tank system, and a numerical nonlinear model.
A Clustering Method for Data in Cylindrical Coordinates

We propose a new clustering method for data in cylindrical coordinates based on the -means. The goal of the -means family is to maximize an optimization function, which requires a similarity. Thus, we need a new similarity to obtain the new clustering method for data in cylindrical coordinates. In this study, we first derive a new similarity for the new clustering method by assuming a particular probabilistic model. A data point in cylindrical coordinates has radius, azimuth, and height. We assume that the azimuth is sampled from a von Mises distribution and the radius and the height are independently generated from isotropic Gaussian distributions. We derive the new similarity from the log likelihood of the assumed probability distribution. Our experiments demonstrate that the proposed method using the new similarity can appropriately partition synthetic data defined in cylindrical coordinates. Furthermore, we apply the proposed method to color image quantization and show that the methods successfully quantize a color image with respect to the hue element.
Nutrients Induce an Increase in Inositol 1,4,5-Trisphosphate in Soybean Cells: Implication for the Involvement of Phosphoinositide-Specific Phospholipase C in DNA Synthesis

: Phosphoinositide-specific phospholipase C (PI-PLC) hydrolyzes the membrane lipid phosphatidylinositol 4,5-bis-phosphate (PtdInsP 2 ) to generate 1,2-diacylglycerol (DAG) and inositol 1,4,5-trisphosphate (InsP 3 ). Both molecules serve as second messengers to carry out various cellular functions in mammals. In the present study, we demonstrate that many organic and inorganic nutrients cause the elevation of InsP 3 concentrations in cultured soybean cells. This elevation of InsP 3 content is sustained for several hours following treatment with Mura-shige-Skoog (MS) inorganic nutrients. Phosphate and calcium are the major components in MS salts responsible for the increase in InsP 3 levels. DNA synthesis, a measure of cell growth, was significantly suppressed by the PI-PLC-specific inhibitor 1-(6-{[17 b -3-methoxyestra-1,3,5(10)-trien-17-yl]amino}hexyl)-1H- pyrrole-2,5-dione (U-73122), whereas its near-identical analogue 1-(6-{[17 b -3-methoxyestra-1,3,5(10)-trien-17-yl]amino}- hexyl)-2,5-pyrrolidinedione did not cause any suppression. Activation of PI-PLC by MS salts increased DNA synthesis and abolished the suppression of DNA synthesis caused by U-73122. Thus, we conclude that the higher cellular concentration of InsP 3 induced by MS treatment is involved in DNA synthesis.
Sparse Partitioning Around Medoids

Hierarchical Agglomerative Clustering (HAC) is likely the earliest and most flexible clustering method, because it can be used with many distances, similarities, and various linkage strategies. It is often used when the number of clusters the data set forms is unknown and some sort of hierarchy in the data is plausible. Most algorithms for HAC operate on a full distance matrix, and therefore require quadratic memory. The standard algorithm also has cubic runtime to produce a full hierarchy. Both memory and runtime are especially problematic in the context of embedded or otherwise very resource-constrained systems. In this section, we present how data aggregation with BETULA, a numerically stable version of the well known BIRCH data aggregation algorithm, can be used to make HAC viable on systems with constrained resources with only small losses on clustering quality, and hence allow exploratory data analysis of very large data sets.
Blur Length Estimation Based on Image Energy Spectrum Statistics

In order to resolve the non-smooth blur problem for coded exposure imaging, this paper proposes an automatically motion blur estimation method based on image energy spectrum statistics, and expands successfully this method to estimate motion blur length for traditional motion blurred images. This paper finds that the residual sums of squares of polynomial fitness result of the deblurred image energy spectrum statistics can reach the minimum, only using correct blur length in the deconvolution process. Given an initial value, using simulated annealing algorithm to implement the iteration, the correct blur length can be obtained automatically in a very short time. Both the real and simulated experiment results demonstrate the effectiveness and robustness of the proposed method.
Sound, Vibration, and Retroaction in Deformable Displays

We present and discuss working designs of deformable displays that use sound, vibration and retroaction for output. Deformation is achieved using stretchable etextiles and transducer diaphragms. Major remaining engineering challenges associated with these designs are introduced: increased temporal and spatial resolution and precision. Workshop Context Prototyping and implementation including several of the pictured items that I can bring to the workshop. Author
Smallest Angiosperm Genomes Found in Lentibulariaceae, with Chromosomes of Bacterial Size

Arabidopsis thaliana. Genlisea margaretae G. aurea Utricularia gibba G. aurea E. coli ca. Utricularia A. thaliana Genlisea hispidula Genlisea Genlisea Utricularia Genlisea-Utricularia Pinguicula, Genlisea-Utricularia Pinguicula
Reply

In arecent paper of ours (Rao et al., 1990) we reported resuIts that led us to express our skepticism about the presence of high-affinity binding sites for 3H-spiroperidol on human Iymphocytes. A review of the literature up to April 1989, when our paper was submitted, also revealed conflicting resuIts regarding the apparent half-maximal saturation constants of the putative Iymphocyte spiroperidol binding site. Presently we do not find the data equivocal to postulate the existence of high-affinity binding, since affinity values differ as widely as I4705-fold (see reports by Bondy et al., 1985 and F/eminger et al., 1981).
A reflection TIE system for 3D inspection of wafer structures

A reflection TIE system consisting of a reflecting microscope and a 4f relay system is presented in this paper, with which the transport of intensity equation (TIE) is applied to reconstruct the three-dimensional (3D) profile of opaque micro objects like wafer structures for 3D inspection. As the shape of an object can affect the phases of waves, the 3D information of the object can be easily acquired with the multiple phases at different refocusing planes. By electronically controlled refocusing, multi-focal images can be captured and used in solving TIE to obtain the phase and depth of the object. In order to validate the accuracy and efficiency of the proposed system, the phase and depth values of several samples are calculated, and the experimental results is presented to demonstrate the performance of the system.
Psychiatric Phenomenology in Cushing's Disease

We evaluated 20 patients with Cushing's dis ease (i. e., Cushing's syndrome due to ACTH-secreting pituitary microadenoma) and 20 patients with Major De pressive Disorder (MDD) using the Structured Clinical In terview for DSM-III-R (SCID) and Research Diagnostic Criteria. The diagnosis of Generalized Anxiety Disorder (GAD) was most common in Cushing's disease (79%), fol lowed by MDD (68 %), and Panic Disorder (PD) including subthreshold PD (53 %). The combination of MDD and GAD andfor PD was also common in Cushing's disease (63 %). Behavioral symptoms, if present, usually first oc curred at or after the onset of the first physical symptoms. However, the onset of PD was associated with more chronic stages of Cushing's disease. In both Cushing's dis ease and MDD, more female than male relatives suffered from MDD, whereas more male than fernale relatives suffered from substance abuse. The data demonstrate a syn drome of anxious depression in patients with active Cush ing's disease; such comorbidility has not been previously noted. The data also point to intriguing epidemiological, clinical, and biological associations between Cushing's dis ease, MDD and substance abuse.