Miracle-dz/UniFAR-FTUs huggingface dataset:
Propositional Independence: Formula-Variable Independence and Forgetting

Independence - the study of what is relevant to a given problem of reasoning - has received an increasing attention from the AI community. In this paper, we consider two basic forms of independence, namely, a syntactic one and a semantic one. We show features and drawbacks of them. In particular, while the syntactic form of independence is computationally easy to check, there are cases in which things that intuitively are not relevant are not recognized as such. We also consider the problem of forgetting, i.e., distilling from a knowledge base only the part that is relevant to the set of queries constructed from a subset of the alphabet. While such process is computationally hard, it allows for a simplification of subsequent reasoning, and can thus be viewed as a form of compilation: once the relevant part of a knowledge base has been extracted, all reasoning tasks to be performed can be simplified.
Robust L2E Estimation of Transformation for Non-Rigid Registration

We introduce a new transformation estimation algorithm using the L2E estimator, and apply it to non-rigid registration for building robust sparse and dense correspondences. In the sparse point case, our method iteratively recovers the point correspondence and estimates the transformation between two point sets. Feature descriptors such as shape context are used to establish rough correspondence. We then estimate the transformation using our robust algorithm. This enables us to deal with the noise and outliers which arise in the correspondence step. The transformation is specified in a functional space, more specifically a reproducing kernel Hilbert space. In the dense point case for non-rigid image registration, our approach consists of matching both sparsely and densely sampled SIFT features, and it has particular advantages in handling significant scale changes and rotations. The experimental results show that our approach greatly outperforms state-of-the-art methods, particularly when the data contains severe outliers.
The Open Access Israeli Journal of Aquaculture – Bamidgeh

The twist gene in golden pompano Trachinotus ovatus larvae was cloned and analyzed in this study. in the first 18 days the expression of twist during larval fish ontogeny was explored, then on 18 day post hatch (DPH) the expression of twist in fish tissues was evaluated. Subsequently, the response of twist to water temperatures of 23, 26, and 29oC was compared on 12 DPH and 18 DPH. The cDNA sequence length of the twist gene in golden pompano is 880 bp with an open reading frame of 507 bp. The twist gene encodes 168 amino acids and has a calculated molecular weight of 18.93 kDa and a theoretical isoelectric point of 9.14. After hatching, the expression of twist increased with fish age, and peaked at 3 and 4 DPH. The highest expression of twist in fish tissue occurred in the spleen and stomach, followed by the brain and kidney on 18 DPH. On 12 DPH, the highest expression of twist was observed in fish reared at 26oC, and lowest expression was observed in fish reared at 29oC. On 18 DPH, the expression of twist was not significantly affected by the rearing temperatures. This study identified the gene expression of twist at the early developmental stage of golden pompano; the time dependent expression of twist in fish larvae may improve knowledge of bone ontogeny and formation in fish larvae. * Corresponding author. Tel. : +86 0898-83361232, fax: +86 020-84451442, e-mail: zhenhua.ma@hotmail.com Published as an open-access journal by the Society of Israeli Aquaculture & Marine Biotechnology (SIAMB). To read papers free of charge, please register online at: http://www.aquaculturehub. org/group/israelijournalofaquaculturebamidgehija The sale of IJA papers is strictly forbidden
Coefficients Pose-Variant Input Recogni 8 on Engine Frontalized Output Generator FF-GAN D Discriminator Extreme Pose Input Frontalized Output

Despite recent advances in face recognition using deep learning, severe accuracy drops are observed for large pose variations in unconstrained environments. Learning poseinvariant features is one solution, but needs expensively labeled large-scale data and carefully designed feature learning algorithms. In this work, we focus on frontalizing faces in the wild under various head poses, including extreme profile views. We propose a novel deep 3D Morphable Model (3DMM) conditioned Face Frontalization Generative Adversarial Network (GAN), termed as FF-GAN, to generate neutral head pose face images. Our framework differs from both traditional GANs and 3DMM based modeling. Incorporating 3DMM into the GAN structure provides shape and appearance priors for fast convergence with less training data, while also supporting end-to-end training. The 3DMMconditioned GAN employs not only the discriminator and generator loss but also a new masked symmetry loss to retain visual quality under occlusions, besides an identity loss to recover high frequency information. Experiments on face recognition, landmark localization and 3D reconstruction consistently show the advantage of our frontalization method on faces in the wild datasets. 1
Simulation of the Flow Field of Cement Mixer Based on Numerical Methods

Different kinds of research methods of the flow field in the cement mixer were introduced and compared, theory bases of the numerical simulation method of the flow field in the cement mixer were described, whole of thoughts of realization this method were analyzed. And then, the geometrical model and mathematical mode of the cement mixer were created by Fluent, which was based on CFD theory; and the characteristic of flow field in the cement mixer was simulated by Mixture model, SIMPLE algorithm and standard k-e turbulence model. The calculation results showed that the distribution of flow field in cement mixer could be simulated preferably by the numerical technology, which supplied the valuable theoretical guidance for designing of the cement mixer.
The Relationship Between Metabolic Risk Factors and Incident Cardiovascular Disease in Europeans, South Asians, and African Caribbeans A Prospective Population-Based Study

Objectives This study sought to determine whether ethnic differences in diabetes, dyslipidemia, and ectopic fat deposition account for ethnic differences in incident cardiovascular disease. Background Coronary heart disease risks are elevated in South Asians and are lower in African Caribbeans compared with Europeans. These ethnic differences map to lipid patterns and ectopic fat deposition. Methods Cardiovascular risk factors were assessed in 2,049 Europeans, 1,517 South Asians, and 630 African Caribbeans from 1988 through 1991 (mean age: 52.4 (cid:1) 6.9 years). Fatal and nonfatal events were captured over a median 20.5-year follow-up. Subhazard ratios (SHR) were calculated using competing risks regression. Results Baseline diabetes prevalence was more than 3 times greater in South Asians and African Caribbeans than in Europeans. South Asians were more and African Caribbeans were less centrally obese and dyslipidemic than Europeans. Compared with Europeans, coronary heart disease incidence was greater in South Asians and less in African Caribbeans. The age- and sex-adjusted South Asian versus European SHR was 1.70 (95% conﬁdence interval [CI]: 1.52 to 1.91, p (cid:2) 0.001) and remained signiﬁcant (1.45, 95% CI: 1.28 to 1.64,
Construction and Visualization of Confidence Sets for Frequentist Distributional Forecasts

ABSTRACT The focus of this article is on the quantification of sampling variation in frequentist probabilistic forecasts. We propose a method of constructing confidence sets that respects the functional nature of the forecast distribution, and use animated graphics to visualize the impact of parameter uncertainty on the location, dispersion, and shape of the distribution. The confidence sets are derived via the inversion of a Wald test, and the ellipsoid that defines the boundary of the set computed numerically. A wide range of linear and nonlinear time series models—encompassing long memory, state space, and mixture specifications—is used to demonstrate the procedure, based on artificially generated data. An empirical example in which distributional forecasts of both financial returns and its stochastic volatility are produced is then used to illustrate the practical importance of accommodating sampling variation in the manner proposed.
LSAH: a fast and efficient local surface feature for point cloud registration

Point cloud registration is a fundamental task in high level three dimensional applications. Noise, uneven point density and varying point cloud resolutions are the three main challenges for point cloud registration. In this paper, we design a robust and compact local surface descriptor called Local Surface Angles Histogram (LSAH) and propose an effectively coarse to fine algorithm for point cloud registration. The LSAH descriptor is formed by concatenating five normalized sub-histograms into one histogram. The five sub-histograms are created by accumulating a different type of angle from a local surface patch respectively. The experimental results show that our LSAH is more robust to uneven point density and point cloud resolutions than four state-of-the-art local descriptors in terms of feature matching. Moreover, we tested our LSAH based coarse to fine algorithm for point cloud registration. The experimental results demonstrate that our algorithm is robust and efficient as well.
relationship between physical performance and cognitive performance measures among community-dwelling older adults

Purpose: Cognitive impairment is correlated with physical function. However, the results in the literature are inconsistent with cognitive and physical performance measures. Thus, the aim of this study was to determine the association between cognitive performance and physical function among older adults. Methods: A total of 164 older adults aged  60 years and residing in low-cost housing areas in Kuala Lumpur, Malaysia participated in this study. Cognitive performance was measured using the Mini Mental State Examination, clock drawing test, Rey auditory verbal learning test, digit symbol test, digit span test, matrix reasoning test, and block design test. Physical performance measures were assessed using the ten step test for agility, short physical performance battery test for an overall physical function, static balance test using a Pro.Balance board, and dynamic balance using the functional reach test. Results: There was a negative and significant correlation between agility and the digit symbol test ( r =− 0.355), clock drawing test ( r =− 0.441), matrix reasoning test ( r =− 0.315), and block design test ( r =− 0.045). A significant positive correlation was found between dynamic balance, digit symbol test ( r = 0.301), and matrix reasoning test ( r = 0.251). The agility test appeared as a significant ( R 2 = 0.183, R 2 = 0.407, R 2 = 0.299, P  0.05) predictor of some cognitive performance measures, including the digit span test, clock drawing test, and Mini Mental State Examination. Conclusion: These results suggest that a decline in most cognitive performance measures can be predicted by poor execution of a more demanding physical performance measure such as the ten step test for agility. It is imperative to use a more complex and cognitively demanding physical performance measure to identify the presence of an overall cognitive impairment among community-dwelling older adults. It may also be beneficial to promote more complex and cognitively challenging exercises and activities among older adults for optimal physical and cognitive function. Epidemiology an peer-reviewed, open disease drug epidemiology, risk screening develop optimal preventative initiatives and programs. Specific topics include: diagnosis, prognosis, treatment, screening, prevention, risk factor modification, systematic reviews, risk & safety of medical interventions, epidemiology & bio- statical methods, evaluation of guidelines, translational medicine, health policies & economic evaluations. The manuscript management system is completely online and includes a very quick and fair peer-review system, which is all easy to use.
Pathogen-Induced Proapoptotic Phenotype and High CD95 (Fas) Expression Accompany a Suboptimal CD8+ T-Cell Response: Reversal by Adenoviral Vaccine

MHC class Ia-restricted CD8+ T cells are important mediators of the adaptive immune response against infections caused by intracellular microorganisms. Whereas antigen-specific effector CD8+ T cells can clear infection caused by intracellular pathogens, in some circumstances, the immune response is suboptimal and the microorganisms survive, causing host death or chronic infection. Here, we explored the cellular and molecular mechanisms that could explain why CD8+ T cell-mediated immunity during infection with the human protozoan parasite Trypanosoma cruzi is not optimal. For that purpose, we compared the CD8+ T-cell mediated immune responses in mice infected with T. cruzi or vaccinated with a recombinant adenovirus expressing an immunodominant parasite antigen. Several functional and phenotypic characteristics of specific CD8+ T cells overlapped. Among few exceptions was an accelerated expansion of the immune response in adenoviral vaccinated mice when compared to infected ones. Also, there was an upregulated expression of the apoptotic-signaling receptor CD95 on the surface of specific T cells from infected mice, which was not observed in the case of adenoviral-vaccinated mice. Most importantly, adenoviral vaccine provided at the time of infection significantly reduced the upregulation of CD95 expression and the proapoptotic phenotype of pathogen-specific CD8+ cells expanded during infection. In parallel, infected adenovirus-vaccinated mice had a stronger CD8 T-cell mediated immune response and survived an otherwise lethal infection. We concluded that a suboptimal CD8+ T-cell response is associated with an upregulation of CD95 expression and a proapoptotic phenotype. Both can be blocked by adenoviral vaccination.
LECTURE NOTES: INVARIANT DISTRIBUTIONS FOR PARABOLIC SPDEs AND THEIR NUMERICAL APPROXIMATIONS

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. LECTURE NOTES: INVARIANT DISTRIBUTIONS FOR PARABOLIC SPDEs AND THEIR NUMERICAL APPROXIMATIONS Charles-Edouard Bréhier
The Running of Neutrino Masses, Lepton Mixings and CP Phases

In this thesis, the running of neutrino masses, lepton mixing angles and CP phases is investigated, using the description of neutrino masses by the lowest dimensional effective operator and its realization within see-saw scenarios. In the effective approach, the beta-functions which govern the running of the parameters below the lowest see-saw scale in the Standard Model, in Two-Higgs-Doublet Models and in the Minimal Supersymmetric Standard Model are calculated. Analytical formulae, which allow to understand the running qualitatively and to a good approximation also quantitatively, are derived and compared to numerical results. In minimal see-saw scenarios, where only heavy singlets are added to the particle spectrum, the beta-functions and matching conditions for the various effective theories, which arise from successively integrating out the heavy particles, are calculated in the above-named models. Characteristic properties of the running in these scenarios are discussed analytically and illustrated by numerical examples.
Precise half-life values for two neutrino double beta decay

All existing positive results on two-neutrino double-beta decay in different nuclei were analyzed. Using the procedure recommended by the Particle Data Group, weighted average values for half-lives of {sup 48}Ca, {sup 76}Ge, {sup 82}Se, {sup 96}Zr, {sup 100}Mo, {sup 100}Mo-{sup 100}Ru (0{sub 1}{sup +}), {sup 116}Cd, {sup 130}Te, {sup 150}Nd, {sup 150}Nd-{sup 150}Sm (0{sub 1}{sup +}), and {sup 238}U were obtained. Existing geochemical data were analyzed, and recommended values for half-lives of {sup 128}Te, {sup 130}Te, and {sup 130}Ba are proposed. Given the measured half-life values, nuclear matrix elements were calculated. I recommend the use of these results as the most currently reliable values for the half-lives and nuclear matrix elements.
An Approach for Locating Human Hand Fingers Bone Break from X-beam Pictures

Distinguishing human hand fingers bone break is an extremely basic issue in restorative. The framework proposed another approach to recognize these sorts of crack by removing highlights. For doing the general procedure among MRI (Magnetic Resonance Imaging), CT (Computed Tomography) and X-beam pictures, the proposed framework utilized X-beam pictures. At first, the framework takes information from different orthopedic foundations. Subsequent to getting the information the picture preprocessing steps have been done: right off the bat pictures have been changed over into dark, at that point sifted lastly into parallel pictures. From twofold pictures the GLCM (Gray Level Co-event Matrix), minute highlights, entropy, real pivot length, minor hub length, erraticism, introduction, arched region, zone, filled zone, equiv breadth, robustness, degree, border, mean, standard deviation, relationship coefficient, middle, fluctuation, proportion, pixel, and Euclidian separation has been removed. The element esteems are prepared by the Artificial Neural Network (ANN) where the framework used to encourage forward back proliferation systems. At that point, the yield gives two qualities where it is in typical or crack. The figure of prepared Neural Network gives the execution, preparing state, relapse of the trial which is high. The tables decided the gatherings which are changed into size and shapes and furthermore gives that the pictures are in typical or crack with precision 92.24% which is superior to other. The proposed framework can effectively distinguish the pictures of crack and typical yet can't recognize its composes. Later on, the framework will attempt to test about it.
SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations between Pairs of Nominals

SemEval-2 Task 8 focuses on Multi-way classification of semantic relations between pairs of nominals. The task was designed to compare different approaches to semantic relation classification and to provide a standard testbed for future research. This paper defines the task, describes the training and test data and the process of their creation, lists the participating systems (10 teams, 28 runs), and discusses their results.
abnormal regional spontaneous neural activity in visual pathway in retinal detachment patients: a resting-state functional Mri study

Objective: The aim of the study was to investigate changes of brain neural homogeneity in retinal detachment (RD) patients using the regional homogeneity (ReHo) method to understand their relationships with clinical features. Materials and methods: A total of 30 patients with RD (16 men and 14 women), and 30 healthy controls (HCs) (16 men and 14 women) closely matched in age and sex were recruited. Resting-state functional magnetic resonance imaging scans were performed for all subjects. The ReHo method was used to investigate the brain regional neural homogeneity. Patients with RD were distinguished from HCs by receiver operating characteristic curve. The relationships between the mean ReHo signal values in many brain regions and clinical features in RD patients were calculated by Pearson correlation analysis. Results: Compared with HCs, RD patients had significantly decreased ReHo values in the right occipital lobe, right superior temporal gyrus, bilateral cuneus and left middle frontal gyrus. Moreover, we found that the mean ReHo signal of the bilateral cuneus showed positive relationships with the duration of the RD ( r = 0.392, P = 0.032). Conclusion: The RD patients showed brain neural homogeneity dysfunction in the visual pathway, which may underline the pathological mechanism of RD patients with acute vision loss. Besides, the ReHo values can reflect the progress of the RD disease.
Tag Prediction at Flickr: a View from the Darkroom

Automated photo tagging has established itself as one of the most compelling applications of deep learning. While deep convolutional neural networks have repeatedly demonstrated top performance on standard datasets for classification, there are a number of often overlooked but important considerations when deploying this technology in a real-world scenario. In this paper, we present our efforts in developing a large-scale photo-tagging system for Flickr photo search. We discuss topics including how to select the tags that matter most to our users, develop lightweight, high-performance models for tag prediction, and leverage the power of large amounts of noisy data for training. Our results demonstrate that, for real-world datasets, training exclusively with noisy data yields performance nearly on par with the standard paradigm of first pre-training on clean data and then fine-tuning. We advocate for the approach of harnessing user-generated data in large-scale systems.
Hartmann test of the COMPASS RICH-1 optical telescopes

P. Abbon, M. Alekseev, H. Angerer, M. Apollonio, R. Birsa, P. Bordalo, F. Bradamante, A. Bressan, L. Busso, V.M. Chiosso, P. Ciliberti, M. L. Colantoni, S. Costa, N. Dibiase, T. Dafni, S. Dalla Torre, V. Diaz, V. Duic, E. Delagnes, H. Deschamps, W. Eyrich, D. Faso, A. Ferrero, M. Finger , M. Finger, Jr, H. Fischer, S. Gerassimov, M. Giorgi, B. Gobbo, R. Hagemann, D. von Harrach, F. H. Heinsius, R. Joosten, B. Ketzer, K. Königsmann, V.N. Kolosov, I. Konorov, D. Kramer , F. Kunne, S. Levorato, A. Maggiora, A. Magnon, A. Mann, A. Martin, G. Menon, A. Mutter, O. Nähle, D. Neyret, F. Nerling, P. Pagano, S. Paul, S. Panebianco, D. Panzieri, G. Pesaro, C. Pizzolotto, J. Polák , P. Rebourgeard, E. Rocco, F. Robinet, P. Schiavon, C. Schill, P. Schoenmeier, L. Silva, M. Slunečka, L. Steiger , F. Sozzi, M. Šulc , M. Švec , F. Tessarotto, A. Teufel, H. Wollny INFN, Sezione di Torino and University of East Piemonte, Alessandria, Italy Universität Bonn, Helmholtz-Institut fr Strahlenund Kernphysik, Bonn, Germany CERN, European Organization for Nuclear Research, Geneva, Switzerland Universität Erlangen-Nürnberg, Physikalisches Institut, Erlangen, Germany e Universität Freiburg, Physikalisches Institut, Freiburg, Germany Technical University of Liberec, Liberec, Czech Republic LIP, Lisbon, Portugal Universität Mainz, Institut fr Kernphysik, Mainz, Germany Technische Universität München, Physik Department, Garching, Germany Charles University, Praha, Czech Republic and JINR, Dubna, Russia CEA Saclay, DSM/DAPNIA, Gif-sur-Yvette, France INFN, Sezione di Torino and University of Torino, Torino, Italy INFN, Sezione di Trieste and University of Trieste, Trieste, Italy