Miracle-dz/UniFAR-FTUs huggingface dataset:
Propensity score-based adjustment for covariate effects on classification accuracy of bio-marker using ROC curve

The potential performance of bio-marker in classifying diseased from healthy population may be affected by baseline covariates (X) that are associated with both the bio-marker (Y) and the disease status (D). Some existing approaches can be able to adjust for the effect of a single covariate at a time. However, several potential covariates can be available in practice for which simultaneous adjustment in the ROC curve is essential. This study proposed a propensity score (PS) based adjustment for the effects of several covariates in the ROC curve. The PS is first derived from a linear transformation of several covariates and the PS-adjusted (and PS-specific) ROC curve was then estimated using the existing non-parametric induced ROC regression framework. The method is illustrated for both continuous and binary bio-markers. The simulation study suggests that the PS-based adjustment performed well by providing a consistent estimate of the true ROC curve and showing robustness to the mis-specification of the propensity score model as well as to a non-linear function of covariates. Further, an application of the method is provided to evaluate the effectiveness of the body-mass-index in classifying patients with hypertension or diabetes after adjusting for the potential covariates such as age, sex, education, socio-economic status.
Visual comfort generative design framework based on parametric network in underground space

With the growing demand for a high‐quality life, visual comfort (VC) is becoming increasingly important for improving the quality of underground spaces. The underground space landscape features can be defined by the spatial and material parameters of the components. This study proposes a novel parametric generative network (StepGN) for the 3D generative design of VC. It combines parametric modeling, VC evaluation, and a novel reinforcement learning (RL) model called encoded soft actor critic (ESAC) and simplifies the optimization of complex VC scenes into a parameter‐generating optimization process. Among them, parametric modeling is used to generate a 3D underground space scene with components and material properties through parameterization, and the optimization of parameters depends on the evaluation and RL model. The evaluation model provides reward value, and a new ESAC algorithm is developed. It combines the soft actor‐critic (SAC) algorithm with the encoder process and by setting the reward with a confidence threshold. In addition, the Swin cosine distance (SCD) is used to measure the diversity of the generated scenes. A comparison of the policy types and range conversion methods proves that the stochastic policy and Sigmoid function are more suitable for the generative design of VC. By comparing StepGN with a generative adversarial network‐based generative network (VCGN) and other RL processes, it shows that StepGN can generate discrete distributions of the VC levels and can realize a high‐comfort level scene, and the training speed and stability are considerably improved. Finally, StepGN is applied for the optimization of the Wujiaochang subway station scene in Shanghai, and it is proved that the VC of the generated results can provide a high comfort level.
Distributions et corrélations hadroniques en chromodynamique quantique dans l'approximation des "petits x"

Cette these a pour objet le calcul analytique des distributions inclusives en fonction de l'impulsion transverse (kt) et des correlations a deux particules dans les jets hadroniques a tres haute energie, dans l'approximation dite MLLA (Modified Leading Logarithmic Approximation) de la Chromodynamique Quantique (CDQ). Nous obtenons, dans un premier temps, la solution exacte des equations d'evolution partoniques pour le spectre inclusif et les correlations que l'on evalue dans le cas de l'approximation dite "spectre limite" a "petit x". Puis, nous allons au dela en utlisant la methode du col qui permet de generaliser les resultats precedemments obtenus. Nos predictions decrivent avec meilleur succes la dynamique partonique et seront compares avec les donnees experimentales des actuels collisionneurs. Ceci fournira un test de l'hypothese de dualite locale parton hadron et de la necessite eventuelle d'inclure les corrections NMLLA.
Radiation Pressure Effect on the Roche Lobe

Speciﬁc evolutionary channels which involve Roche lobe overﬂow are not correctly accounted for by the classical Roche model. We generalise the Roche lobe concept in the presence of extra forces, due to radiation pressure (as ﬁrst suggested by Schuerman 1972). We evaluate their impacts on the distortion of the equipotentials. The Roche-lobe radius may either stay unchanged, become smaller, or even become meaningless (for radiatively-driven wind).
Rotational mixing in Be stars: nitrogen abundances for a sample of Be stars from the MiMeS survey

Photospheric nitrogen abundances for a sample of 26 Be stars and 16 normal B stars were found using high-resolution spectra from the Magnetism in Massive Stars (MiMeS) spectroscopic survey. Nitrogen abundances were obtained using non-LTE equivalent widths and line profiles, and Monte Carlo simulation was used to determine the error bounds of the measured nitrogen abundances due to uncertainties in the adopted stellar parameters, continuum normalization, and atomic data. In addition, the effects of the gravitational darkening and disk contamination on the measured Be star nitrogen abundances were investigated. About one third of the sample Be stars and half of the normal B-type stars have nitrogen enrichments that may be due to rotational mixing in these rapidly rotating objects. Corrections for gravitational darkening and disk contamination do not significantly change the overall results for the Be star sample. The average nitrogen abundance of the B and Be star samples coincide with the solar abundance, although the dispersion in the nitrogen abundances is much larger in the Be star sample. The Be star sample also has a significant fraction of sub-solar nitrogen abundance objects which are not present in significant numbers in the B star sample. This may point to yet unresolved systematic errors in the analysis of the Be stars
Orbital ordering in ferromagnetic Lu2V2O7

We have observed the orbital ordering in the ferromagnetic Mott-insulator Lu 2 V 2 O 7 by the polarized neutron diffraction technique. The orbital ordering pattern determined from the observed magnetic form factors can be explained in terms of a linear combination of wave functions | y z >, | z x > and | x y >;
A radio spectral index map and catalogue at 147-1400 MHz covering 80 per cent of the sky

The radio spectral index is a powerful probe for classifying cosmic radio sources and understanding the origin of the radio emission. Combining data at 147 MHz and 1.4 GHz from the TIFR GMRT Sky Survey (TGSS) and the NRAO VLA Sky Survey (NVSS), we produced a large-area radio spectral index map of ~80 per cent of the sky (Dec > -40 deg), as well as a radio spectral index catalogue containing 1,396,515 sources, of which 503,647 are not upper or lower limits. Almost every TGSS source has a detected counterpart, while this is true only for 36 per cent of NVSS sources. We released both the map and the catalogue to the astronomical community. The catalogue is analysed to discover systematic behaviours in the cosmic radio population. We find a differential spectral behaviour between faint and bright sources as well as between compact and extended sources. These trends are explained in terms of radio galaxy evolution. We also confirm earlier reports of an excess of steep-spectrum sources along the galactic plane. This corresponds to 86 compact and steep-spectrum source in excess compared to expectations. The properties of this excess are consistent with normal non-recycled pulsars, which may have been missed by pulsation searches due to larger than average scattering along the line of sight.
The Secret Lives of Cepheids: δ Cep—The Prototype of a New Class of Pulsating X-Ray Variable Stars

From our Secret Lives of Cepheids program, the prototype Classical Cepheid, δ Cep, is found to be an X-ray source with periodic pulsation-modulated X-ray variations. This finding complements our earlier reported phase-dependent FUV–UV emissions of the star that increase ∼10–20 times with highest fluxes at , just prior to maximum brightness. Previously δ Cep was found as potentially X-ray variable, using XMM-Newton observations. Additional phase-constrained data were secured with Chandra near X-ray emission peak, to determine if the emission and variability were pulsation-phase-specific to δ Cep and not transient or due to a possible coronally active, cool companion. The Chandra data were combined with prior XMM-Newton observations, and were found to very closely match the previously observed X-ray behavior. From the combined data set, a ∼4 increase in X-ray flux is measured, reaching a peak = 1.7 × 1029 erg s−1 near 0. 45ϕ. The precise X-ray flux phasing with the star’s pulsation indicates that the emissions arise from the Cepheid and not from a companion. However, it is puzzling that the maximum X-ray flux occurs ∼0. 5ϕ (∼3 days) later than the FUV–UV maximum. There are several other potential Cepheid X-ray detections with properties similar to δ Cep, and comparable X-ray variability is indicated for two other Cepheids: β Dor and V473 Lyr. X-ray generating mechanisms in δ Cep and other Cepheids are discussed. If additional Cepheids are confirmed to show phased X-ray variations, then δ Cep will be the prototype of a new class of pulsation-induced X-ray variables.
Search for the decays B0→e+e-γ and B0→μ+μ-γ

We present results of a search for the decays B0→l+l-γ (l=e or μ). The search is performed using 320×106 BB pairs collected at the Υ(4S) resonance with the BABAR detector at the PEP-II B Factory at SLAC. We find no significant signal and set the following branching fraction upper limits at the 90% confidence level: B(B0→e+e-γ)<1. 2×10-7 and B(B0→μ+μ-γ)<1.6×10-7. © 2008 The American Physical Society.
The Vigor of Seed Potatoes from Organic and Conventional Systems

In the research carried out in 2018–2020 at the Plant Breeding and Acclimatization Institute, the vigor of seed potatoes from two production systems—organic and conventional—was examined. The characteristics of the tubers and the plants grown from them were assessed. It was found that seed potatoes from the organic system were characterized by features showing symptoms of weaker vigor, i.e., a shorter resting period, a smaller percentage of germinating eyes, a smaller mass of sprouts produced, and a shorter length of the longest sprout. The weaker vigor of seed potatoes from the organic system was reflected in the development and yield of the plants derived from them. It was expressed in weaker emergence, lower stem number, and smaller yield per plot. However, there were no differences in the yield structure. A large varietal differentiation was demonstrated for most of the studied traits. The differences in the vigor of individual cultivars were not related to the length of the growing season. The conditions prevailing in the research years had the greatest impact on the length of tuber dormancy, the percentage of germinating eyes, and the percentage of plant emergence.
D=6, N=2, F(4) SUPERGRAVITY WITH SUPERSYMMETRIC DE SITTER BACKGROUND.

We show that there exists a supersymmetric de Sitter background for the D = 6, N = 2, F(4) supergravity preserving the compact R-symmetry and gauging with respect to the conventional anti de Sitter version of the theory. We construct the gauged matter coupled F(4) de Sitter supergravity explicitly and show that it contains ghosts in the vector sector.
The Size and Nature of Lyman alpha Forest Clouds Probed by QSO Pairs and Groups

We describe a robust Bayesian statistical method for determining Lyman alpha forest cloud sizes in spherical and in thin disk geometries, using absorption in adjacent sightlines toward closely separated QSO pairs and groups, apply this method to the available data, and discuss implications of our results for models of Ly alpha clouds. Under the assumption of a population of uniform- size and unclustered clouds, the data from Q1343+2640A/B give a 99% confidence lower and upper bounds 61 0.4 A threshold on all linelists, we find a trend of larger inferred cloud radius with larger proper separation of QSO pairs, significant at the 3.4 sigma level. This indicates that the idealization of unclustered, uniform-sized clouds does not accurately describe the Ly alpha cloud population.
Possible observational evidence for the θ−2 angular distribution of the opening half-angle of gamma-ray burst jets

We propose a method to estimate the jet opening half-angle of gamma-ray bursts (GRBs) using the spectral peak energy (E p )-peak luminosity relation (the so-called Yonetoku relation) as well as the E n -collimation-corrected gamma-ray energy relation (the so-called Ghirlanda relation). For bursts with known jet break times and redshifts, we have compared the derived jet opening half-angle with that measured and found that the differences are within a factor of 2. We apply the method to 689 long GRBs. We have found that the distribution function of the derived jet opening half-angle obeys f(θ j ) θ -2.2±0.2 j , although a lognormal fit is also possible. θ -2 distribution is compatible with the structured jet model. From the distribution function we have found that the beaming correction for the rate of GRBs is ∼340, which means ∼10 -5 yr -1 galaxy -1 or only one in 10 2 Type Ib/c supernovae. We have also found the evolution of the distribution function as a function of the redshift.
A Bandit-Inspired Memetic Algorithm for Quadratic Assignment Problems

In this thesis a new metaheuristic for combinatorial optimization is proposed, with focus on the Quadratic Assignment Problem as the hard-problem of choice a choice that is reflected in the name of the method, BIMA-QAP. The algorithm employs a memetic structure and stores information on the single components along the search. This information is used to guide the search, through an operator inspired by the solution approaches to the Multi-Armed Bandit model. Once the algorithm has been laid out and its set of parameters defined, its implementation has been extensively tested under a Naive-Bayesian assumption of independence among the parameters. The results show that BIMAQAP consistently performs better than Multi-start Local Search, and the new operator perturb() alters the solutions better than a randomized approach. to my mother, my father, my sister and my cat
DARE Mission Design: Low RFI Observations from a Low-Altitude, Frozen Lunar Orbit

The Dark Ages Radio Experiment (DARE) seeks to study the cosmic Dark Ages approximately 80 to 420 million years after the Big Bang. Observations require truly quiet radio conditions, shielded from Sun and Earth electromagnetic (EM) emissions, on the far side of the Moon. DARE's science orbit is a frozen orbit with respect to lunar gravitational perturbations. The altitude and orientation of the orbit remain nearly fixed indefinitely, maximizing science time without the need for maintenance. DARE's observation targets avoid the galactic center and enable investigation of the universe's first stars and galaxies.
The Effect of Brokerage Firm Size on Analysts’ Earnings Forecast Accuracy: Evidence from the Culture Media Industry

The factors influencing analysts’ earnings forecast accuracy are a popular research topic today. Some researchers have found that brokerage firm size affects analysts’ earnings forecast accuracy. However, there is a research gap in the effect of brokerage firm size on analysts’ earnings forecast accuracy in a particular industry. As a result, this study investigates the link between brokerage company size and analysts’ earnings prediction accuracy by collecting and comparing analysts’ earnings forecast data from major brokerage companies and analysts’ earnings forecast data from small and medium-sized brokerage firms. It is found that the accuracy of analysts’ earnings forecasts for the culture media industry is positively correlated with the size of brokerage firms. This indicates that analysts at large brokerage firms have a higher accuracy of earnings forecasts for the culture media industry.
Acoustic Scene Classification using Attention based Deep Learning Model

: Acoustic scene classification is a difficult issue among artificial intelligence, signal processing, and machine learning. Scene recognition performance has a robust relation with feature learning using deep convolutional networks. In the following research, end-to-end deep residual network embedded channel attention is explored to learn the discriminative features from the audio scene. Log-Mel spectrogram is obtained from input raw audios. It is forwarded to proposed attention network. An extracted feature layer is concatenated with the SoftMax classifier in the proposed attention network. The experimentation is carried out on Detection and Classification of Acoustic Scenes and Events (DCASE) 2016 and 2017 datasets. The proposed channel-attention-based residual network achieves classification results with an average accuracy of 80.27% and 80.82%, respectively.
Which blazars are neutrino loud

Protons accelerated in the cores of active galactic nuclei can effectively produce neutrinos only if the soft radiation background in the core is sufficiently high. We find restrictions on the spectral properties and luminosity of blazars under which they can be strong neutrino sources. We analyze the possibility that neutrino flux is highly beamed along the rotation axis of the central black hole. The enhancement of neutrino flux compared to GeV gamma-ray flux from a given source makes the detection of neutrino point sources more probable. At the same time the smaller open angle reduces the number of possible neutrino-loud blazars compared to the number of gamma-ray loud ones. We present the table of 15 blazars which are the most likely candidates for the detection by future neutrino telescopes.
Determination of ground state properties in quantum spin systems by single qubit unitary operations and entanglement excitation energies

CNR-INFM SMC, and Dipartimento di Fisica, Universit`a di Firenze,via G. Sansone 1, I-50019 Sesto Fiorentino, Italy(Dated: December 13, 2007)We introduce a method for analyzing ground state properties of quantum many body systems,based on the characterization of separability and entanglement by single subsystem unitary opera-tions. We apply the method to the study of the ground state structure of several interacting spin-1/2models, described by Hamiltonians with diﬀerent degrees of symmetry. We show that the approachbased on single qubit unitary operations allows to introduce “entanglement excitation energies”,a set of observables that can characterize ground state properties, including the quantiﬁcation ofsingle-site entanglement and the determination of quantum critical points. The formalism allowsto identify the existence and location of factorization points, and a purely quantum “transitionof entanglement” that occurs at the approach of factorization. This kind of quantum transition ischaracterized by a diverging ratio of excitation energies associated to single-qubit unitary operations.
What causes the low binary frequency in the Orion neb- Ula cluster

We report on the results of a binary survey in the outer parts of the Orion Nebula Cluster, 0:7 to 2 pc from the cluster center. The results should help to decide if the binary formation rate was lower in Orion than in TaurusAuriga, or if many binaries formed initially, but were destroyed in close stellar encounters. We nd that the binary frequency of low-mass stars does not depend on the distance to the cluster center. The companion star frequency of intermediate- to high-mass stars shows a trend to decrease with cluster radius, but the statistical signicance of this trend is rather weak.
Time-matched accelerometers on limbs and waist in children with CP give new insights into real-life activities after botulinum toxin treatment: A proof of concept study

PURPOSE: This study aimed to explore the feasibility of using time-matched uniaxial accelerometers for measuring movement in daily life in children with cerebral palsy (CP) before and after botulinum toxin injections. METHODS: This observational study of clinical care with a pre-post design was set in the home and school environment. Participants included eleven children (4–13 years of age) with CP (GMFCS I-III). The children wore uniaxial accelerometers (ActiGraph, model GT1M) for 4 days on both wrists, the right ankle and around the waist before, 3 weeks and 3 months after BoNT-A injections in the legs. Five children also got BoNT-A in the most affected arm. All injections were given according to clinical indications and routine. The accelerometers were all time-matched to define ambulation, arm swing, voluntary activity of arms, and bimanual activity. The feasibility of wearing accelerometers with this setup was evaluated. A linear mixed model was used for analysis of the percentage time and at which intensity the different activities were performed. The confidence interval demonstrated any difference between the dominant and non-dominant arm. RESULTS: Time-matching of accelerometers placed on both wrists, the waist, and one ankle is a feasible method of registering ambulation, arm swing during gait, and arm movements while not ambulating. Before injections, the children spent 5.6% of their time ambulating. This value declined to 3.9% at 3 months. Contrary to clinical goals, arm movement did not increase after injecting the most affected arm with BoNT-A, however, injections may have decreased mirror movements, which are often bothersome for the child. CONCLUSION: A time-matched 4-accelerometer set-up is feasible in children with cerebral palsy. A future study including time-matched multi-axial accelerometers on all four limbs, could provide important information on the effect of BoNT-A in daily life.
Federated Multi-Model Transfer Learning-Based Fault Diagnosis with Peer-to-Peer Network for Wind Turbine Cluster

Intelligent fault diagnosis for a single wind turbine is hindered by the lack of sufficient useful data, while multi-turbines have various faults, resulting in complex distributions. Collaborative intelligence can better solve these problems. Therefore, a peer-to-peer network is constructed with one node corresponding to one wind turbine in a cluster. Each node is equivalent and functional replicable with a new federated transfer learning method, including model transfer based on multi-task learning and model fusion based on dynamic adaptive weight adjustment. Models with convolutional neural networks are trained locally and transmitted among the nodes. A solution for the processes of data management, information transmission, model transfer and fusion is provided. Experiments are conducted on a fault signal testing bed and bearing dataset of Case Western Reserve University. The results show the excellent performance of the method for fault diagnosis of a gearbox in a wind turbine cluster.