Miracle-dz/UniFAR-FTUs huggingface dataset:
Staged computations in types

Two-level formal systems segregate a specialized language for convenient higher order representations of object logics while still allowing for computation and powerful reasoning principles to support formal metatheory. But such a strict segregation between two entirely distinct levels limits potential for reuse of declarations between levels. More importantly, it can moreover be useful to reason about computations, not just representations, and to compute large terms and long derivations from the representation layer rather than writing them out in full. We show how to extend a two level system, allowing for computations in propositions, but without compromising the adequacy of encodings into the representation layer. The enabling ingredient is to distinguish between values and computations, in the style of [1], and to only allow embedding values into the representation level. We demonstrate through several examples how our extended system offers an excellent framework for proofs by reflection. This style of proof lets a user define ad hoc, domain specific decision procedures safely, without increasing the size of the trusted base. We show type safety of our system, and reduce consistency to that of a simpler system without permutation rules.
Rotational motion of Venus and Envision determination

Nicolas Rambaux (1), Caroline Dumoulin (2), Pascal Rosenblatt (3), and Christophe Sotin (4) (1) IMCCE, Observatoire de Paris, Sorbonne Université, Paris, France (Nicolas.Rambaux@obspm.fr), (2) Laboratoire de Planétologie et Géodynamique, Université de Nantes, CNRS UMR6112, France, (3) Geoazur, Université de Nice Sophia-Antipolis, Nice, France, (4) Jet Propulsion Laboratory / California Institute of Technology, Pasadena, United States
SkyHash : An evaluation algorithm for skyline queries over relational databases

Skyline query languages have been defined to allow users to express their preference criteria. A Skyline query retrieves non-dominated tuples, i.e., a set of tuples such that does not exist another one that is better for all user criteria. Several solutions have been proposed in order to evaluate Skyline queries. These solutions can be classified as indexed or scan-based. To the best of our knowledge, none of the existing solutions are based on Hashing. In this work, we propose SkyHash, a hash-based algorithm for Skyline queries. SkyHash partitions the input data according to a hash function; it distributes non-dominated tuples and some of their dominated ones in the same partition depending on the hash function values. Thus, a filtering phase can be performed to discard dominated tuples quickly. Empirically, we study the behavior of SkyHash. Our initial results show that the execution time of SkyHash may be considerably less than the execution time of state-of-art algorithms.
A Claryfying Note on Methodological Issues Arising in the Analysis of Online Markets ”

Let us begin by saying that we do model the permanent sellers’ qualities as fixed effects. However, these fixed effects are not at the seller’s level but at the group level. Since the groups are unobserved in the data, we use the classification procedure to link individual sellers to their quality groups (and thus, their fixed effects). To illustrate the usefulness of our approach, we will organize our reply to your question in two steps. First, we imagine attempting to estimate the model that includes fixed effects at the individual permanent seller level. As the discussion will illustrate, this approach faces a number of challenges. In the second step, we explain how the classification algorithm (together with our insight on linking the supports of permanent and transitory bidders) simultaneously overcomes all of these challenges.
Evaluation of polyol-made Gd 3 +-substituted Co 0 . 6 Zn 0 . 4 Fe 2 O 4 nanoparticles as high magnetization MRI negative contrast agents

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.
The VSAS approch gives the best MPPT for solar energy sources (RES)

More and more MPPT (Maximum Power Point Tracking) algorithms are in competition to maximize energy extracted from PV systems. This paper shows how to get the best algorithm (the most simple, fast and robust). VSAS (Variable Structure Automatic Systems) control methodology is applied to develop the control algorithm, to clarify the rationale behind and get the best optimization algorithm.
NAMED ENTITY TAGGING CON UN POS TAGGER NAMED ENTITY TAGGING WITH A POS TAGGER

In questo articolo descriviamo i due sistemi “Yahoo” di named entity tagging (NER). Entrambi implementano un modello HMM (Hidden Markov Model), basato su un classificatore perceptron regolarizzato. La caratteristica principale del nostro approccio è la scelta di un unico modello, in termini di features e classificatore, per entrambi i task di PoS named entity tagging di Evalita. In this paper, we describe the two “Yahoo” named entity tagging (NER) systems. Both implement a Hidden Markov Model, based on a regularized perceptron classifier. The main feature of our approach is the choice of one model, in terms of features and classifier, for both the PoS and named entity tasks in the Evalita shared task.
The Role of Attention in the Generation of Human and Robot Arm Movements

The Role of Attention in the Generation of Human and Robot Arm Movements by Jee-eun Lee Department of Mechanical and Aerospace Engineering Seoul National University Even as robots are being asked to perform increasingly complex tasks simultaneously, current robot motion planning and control laws for the most part fail to consider limitations on the available computation, communication, and memory resources. Humans on the other hand are adept at multi-tasking, continuously shifting their attention from one task to another. In this thesis we investigate the role of control attention in the general of both robot and human and arm movements. We examine robustness to spatiotemporal quantization as a means of evaluating the performance of arm trajectory generation and control laws from the perspective of
Perceptual Weights Based On Local Energy For Image Quality Assessment

This paper proposes an image quality metric that can effectively measure the quality of an image that correlates well with human judgment on the appearance of the image. The present work adds a new dimension to the structural approach based full-reference image quality assessment for gray scale images. The proposed method assigns more weight to the distortions present in the visual regions of interest of the reference (original) image than to the distortions present in the other regions of the image, referred to as perceptual weights. The perceptual features and their weights are computed based on the local energy modeling of the original image. The proposed model is validated using the image database provided by LIVE (Laboratory for Image & Video Engineering, The University of Texas at Austin) based on the evaluation metrics as suggested in the video quality experts group (VQEG) Phase I FR-TV test.
R 2 0 1 8 / 0 4 Is the Impact of Employment Uncertainty on Fertility Intentions Channeled by Subjective Well-Being ?

This article combines two apparently distinct strands of contemporary research on fertility: the literature on employment uncertainty and fertility and the literature on subjective well-being and fertility. We advance the hypothesis that the impact of term-limited work contracts and precarious jobs on fertility intentions is channeled by an individual’s level of subjective well-being. To test this hypothesis, we adopt a formal framework for causal inference and apply techniques of mediation analysis to data from two rounds of the European Social Survey (ESS 2004 and 2010). Our analysis clearly suggested that the impact of employment uncertainty on fertility intentions depended on the level of subjective well-being: the negative effect was found only when subjective well-being was relatively low (i.e. life satisfaction levels equal or below 6). Detailed results show that parents and younger individuals reduced their fertility intentions more than the childless and older individuals when experiencing employment uncertainty and facing low subjective well-being. We also found that in 2010 – while the economic crisis was underway – it was especially the deterioration in men’s position in the labor market that inhibited fertility planning.
PREVENTING DATA TRANSMISSION BY MISBEHAVING NODES IN DTN

Selfish and Malicious nodes (referred as misbehaving) present in the Delay Tolerant Network (DTN) results in insecure data transmission resulting in the packet loss . Currently the misbehaving nodes are identified only after data transmission. For this purpose Information Centric Network (ICN) is used along with DTN . ICN has a property of interactivity and it also supports mobility of nodes. Hence ICN identifies about misbehaving nodes in the path before the data transmission so that alternative path is chosen. Hence ICN avoids misbehaving nodes and the packet reaches the destination safely. This paper will be implemented in two parts. In the first part the misbehaving nodes are identified by DTN . A new load balancing concept is introduced in order to handle traffic. In the second part misbehaving nodes are intimated in advance by ICN and hence alternative path is chosen for the packets so that further transmission by misbehaving nodes is prevented.
On the occurrence of Trichodesminum erythraeum ( Ehr . ) bloom in the coastal waters of Kalpakkam , east coast of India

A prominent discolouration of the coastal waters by the blue-green alga Trichodesmium erythraeum was encountered in the east coast of Kalpakkam on 16 th March 2007. The bloom persisted only for one day exhibiting visible alteration in physico-chemical properties and phytoplankton community structure of the coastal waters. The Trichodesmium cell density was 4.14 x 10 6 cells l -1 , sharing 74.19 % of the total cell count (5.57 x 10 6 cells l -1 ). Only 24 species of phytoplankton were encountered on the day of bloom as compared to the highest number of 44 species in a single observation during preand post-bloom periods (1 st March to 29 th March). Concentration of chlorophyll-a and phaeopigments increased to about 20 times on the day of bloom compared to the pre-bloom values. An abrupt increase in ammonia, total nitrogen and phosphate was noticed on the day of bloom. The impact of this bloom on coastal water quality is reported.
A Dynamic QBF Preprocessing Approach for the Verification of Incomplete Designs

Bounded Model Checking (BMC) is a major verification technique for finding errors in sequential circuits by unfolding the design iteratively and converting the BMC instances into Boolean satisfiability (SAT) formulas. When considering incomplete designs (i.e. those containing so-called blackboxes), we need the logic of Quantified Boolean Formulas (QBF) to obtain a precise modeling of the unknown behavior of the blackbox. The incremental nature of the BMC problem can be exploited by means of incremental preprocessing of the QBF formulas. It was shown that applying incremental preprocessing produces smaller QBF formulas, but with the price of moving computation time from the solver to the preprocessor, which can rise significantly. In this paper we show how we can take advantage of incremental preprocessing limiting this inconvenient overhead. We start applying incremental preprocessing, and switch to conventional BMC when the preprocessing effectiveness does not compensate for the time spent. We present multiple switching heuristics, and evaluate the overall performance by running several state-of-the-art QBF solvers as back-end. Comparing these results to those obtained by standard and incremental BMC procedures it turns out that dynamic preprocessing leads to the best overall performance of the whole verification process.
Selected Papers : 3-D Display and Information

We are developing three-dimensional (3-D) urban environment model reconstruction techniques that use video or range images taken by aircraft. This involves reconstructing a 3-D model from a high-definition (HD) video and another model using range data called digital surface model (DSM) data. The HD video modeling consists of two processes: one for acquiring point-based spatial data and the other for reconstructing buildings from the data. Since DSM data is spatial data, the DSM data modeling consists of recreating complicated building structures from the data. The model can be reconstructed in a short time and the kind of input can be chosen according to the intended application. These new techniques will have a wide range of applications. 3-D Urban Environment Model Reconstruction from Aerial Data—High-definition Video and Airborne Laser Data † NTT Cyber Space Laboratories Yokosuka-shi, 239-0847 Japan E-mail: wakabayashi.kaoru@lab.ntt. co.jp
Redesign Improved Employees ’ Performance of a Textile Industry

This research aims to redesign improved employees’ performance of corporate textile in terms of compensation, competence, quality of work-life and organizational citizenship behavior. The method used in this research is a survey conducted on the employees of a textile factory. Employees who serve the population of this study is diversified from the level of staff to the Director. The sample is 245 respondents. Data analysis and hypothesis test in this study using the Structural Equation Model Partial Least Square (PLS-SEM). The results showed that each variable compensation, competence, quality of work-life and organization citizenship behavior has a positive and significant impact on employee performance. Variable organization citizenship behavior can be variable which can improve the effect of compensation, competence and quality of work-life toward employees’ performance.
Iterative Local Community Detection Combining Graph Structure and Attribute Similarity

Graph clustering has received a lot of attention by scientists and many algorithms have been developed to approximate solutions to variants of the problem, which is usually NP-hard. Lately methods have been proposed to combine attribute information and graph topology into the clustering process. However, none of the available combining algorithms o ers a local approach, able to detect a community around a given seed node or a set of seed nodes. Therefore, we present an iterative solution in this thesis: Learning attributes in a local environment, adding edges to represent attribute similarity and using a known local structural algorithm, to provide a method for local community detection that respects both graph structure and attribute data. Evaluation results of the method on synthetic data and real world data from the Facebook friendship network and the Amazon co-purchase network prove the usefulness of the method to improve the detection of communities and identify communities in overlapping structures.
1 Duplex and Superduplex Stainless Steels : 2 microstructure and properties evolution by surface 3 modificaction processes 4

The paper presents an overview of diffusion surface treatments, especially nitriding 15 processes, applied to duplex and superduplex stainless steels in the last five years. Research has 16 been done mainly to investigate different nitriding processes in order to optimize parameters 17 for the most appropriate procedure with the scope of improving mechanical and wear 18 resistance without prejudice to the corrosion properties of the duplex and superduplex stainless 19 steels. Our investigation pointed also on trying to understand the effect of the nitriding layer on 20 the precipitation of secondary phases after any heating step. 21
Detection of Salmonella spp . antigens in Tolima poultry products by Western Blot *

Salmonella spp. , is a Gram-negative bacterium transmitted to human by consumption of contaminated water and food consumption, mainly poultry products like eggs and chicken meat. The aim of this study was to implement the Western Blot technic to detect the presence of antigenic proteins of Salmonella spp. , in chicken carcasses and egg surface and if possible to compare it with the traditional microbiological isolation. A total of 18 chicken carcasses and 18 eggs were collected from the 13 communes and 5 marketplaces of Ibagué city. A chicken carcass and egg surface washes were obtained and an aliquot from each one was processed by using standard international guidelines ISO 6579-1:2017 for bacterial isolation. Another aliquot was centrifuged and the pellet separated by polyacrylamide gel electrophoresis (SDS-PAGE). Separated proteins were transferred in to a nitrocellulose membrane by Western blot. Primary antibody was an in-house rabbit polyclonal anti-Salmonella enteritidis antiserum and the secondary antibody was a goat anti-rabbit IgG conjugated with alkaline phosphatase. The reaction of the two antibodies was detected with the addition of the BCIP-NBT enzyme substrate and the image recorded with a digital camera. Antigenic bands of Salmonella spp. of 10, 15, 17 and 40 kDa and 10, 17, 25, 37 and 75 kDa were detected in 15 out of 18 (83,3 %) and 4 out of 18 (22,2 %) samples from chicken carcasses and egg surface respectively. A total of 4 out of 36 samples were positive to Salmonella spp. , by microbiological isolation. It is concluded that the SDS-PAGE and Western blot technic can successfully detectSalmonella antigens in chicken carcasses and egg surface and it may constitute a valuable complementary tool for the detection of this microorganism in poultry products.
A Genetic Algorithm for Minimum Set Covering Problem in Reliable and Efficient Wireless Sensor Networks

Densely deployment of sensors is generally employed in wireless sensor networks (WSNs) to ensure energy-efficient covering of a target area. Many sensors scheduling techniques have been recently proposed for designing such energyefficient WSNs. Sensors scheduling has been modeled, in the literature, as a generalization of minimum set covering problem (MSCP) problem. MSCP is a wellknown NP-hard optimization problem used to model a large range of problems arising from scheduling, manufacturing, service planning, information retrieval, etc. In this paper, the MSCP is modeled to design an energy-efficient wireless sensor networks (WSNs) that can reliably cover a target area. Unlike other attempts in the literature, which consider only a simple disk sensing model, this paper addresses the problem of scheduling the minimum number of sensors (i.e., finding the minimum set cover) while considering a more realistic sensing model to handle uncertainty into the sensors' target-coverage reliability. The paper investigates the development of a genetic algorithm (GA) whose main ingredient is to maintain scheduling of a minimum number of sensors and thus to support energy-efficient WSNs. With the aid of the remaining unassigned sensors, the reliability of the generated set cover provided by the GA, can further be enhanced by a post-heuristic step. Performance evaluations on solution quality in terms of both sensor cost and coverage reliability are measured through extensive simulations, showing the impact of number of targets, sensor density and sensing radius.
Filters Design for Image based Oil , Watercolor and Cartoon Special Visual Effects Rendering

Although we are in favor of turning our picture into cool looking effects like oil, watercolor and cartoon paintings, the relevant techniques still too elusive for non-professionals to master. In order to overcome such problems existed in the previous methods as complicated operation and model that do required professional experience, we propose an image filtering based method which can achieve image based non-photorealistic rendering for the amateurs to get the oil, watercolor and cartoon image effects efficiently. By analyzing and summarizing the digital characteristics and difficult technical points for the oil, watercolor and cartoon effects, we design an appropriate special visual effects filter for each of them to make the simulated effects vivid. According to our numerous experiments, the designed filters for oil, watercolor and cartoon effects are easy to use and can generate satisfactory non-photorealistic image rendering results. Copyright © 2013 IFSA.
Weird Inflects but OK: Making Sense of Morphological Generation Errors

We conduct a manual error analysis of the CoNLL-SIGMORPHON Shared Task on Morphological Reinflection. This task involves natural language generation: systems are given a word in citation form (e.g., hug) and asked to produce the corresponding inflected form (e.g., the simple past hugged). We propose an error taxonomy and use it to annotate errors made by the top two systems across twelve languages. Many of the observed errors are related to inflectional patterns sensitive to inherent linguistic properties such as animacy or affect; many others are failures to predict truly unpredictable inflectional behaviors. We also find nearly one quarter of the residual “errors” reflect errors in the gold data.
Phylogenetic analysis of p 53 tumor suppressor gene of bos taurus through in sillico platform

p53, an important tumor suppressor gene that not only regulates the cell cycle but also helps in apoptosis, genomic stability, and inhibition of angiogenesis which leads a better platform for invention of new therapeutics and diagnostics in human as well as in animals by exploiting this gene. So phylogenetic analysis of this gene is essential to know the evolutionary relationship among the animals for better understanding in modern biological research. In this study, the p53 tumor suppressor mRNA gene of bos Taurus was retrieved and percentage identity and similarity was estimated with other selected animals through basic alignment search tool (BLAST). Multiple sequence alignment and phylogenetic analysis of this gene was performed through in sillico platform. In this study, the identity and similarity percentage was found more than 70% in all selected animals which inferred that this gene is conserved among all mammalian species. So this study would be helpful for the better development of research strategies about of p53 gene for the animal as well as human benefit in nearest future.
VenSpec-H, infrared spectrometer onboard EnVision to study Venus’ volcanism

The VenSpec-H instrument is part of the EnVision M5 mission payload which has been selected by ESA to enter Phase A in January 2019 for a potential mission selection in 2021. EnVision is a medium class mission to determine the nature and current state of geological activity on Venus, and its relationship with the atmosphere, to understand how Venus and Earth could have evolved so differently. VenSpec-H will target different molecular species in nadir viewing geometry, as to better characterize the surface-atmosphere interaction. The scientific preparation and the preliminary design will be presented.