Miracle-dz/UniFAR-FTUs huggingface dataset:
Nichola Lowe States Hidden Talent : Tacit Skill Formation and Labor Market Incorporation of Latino Immigrants in the United

This article examines informal training and skill development pathways of Latino immigrant construction workers in two different urban labor markets: Philadelphia, Pennsylvania, and Raleigh-Durham, North Carolina. We find that institutional differences across local labor markets not only shape how immigrants develop skills in specific places but also determine the localized obstacles they face in demonstrating and harnessing these skills for employment. To explain the role of local institutions in shaping differences in skill development experience and opportunities, we draw on the concept of tacit skill, a term that is rarely incorporated into studies of the labor market participation of less educated immigrants. We argue that innovative pathways that Latino immigrant workers have created to develop tacit skill can strengthen advocacy planning efforts aimed at improving employment opportunities and working conditions for marginalized workers, immigrant and nonimmigrant alike.
Control Oriented Prediction of Driver Brake Intention and Intensity Using a Composite Machine Learning Approach

Driver perception, decision, and control behaviors are easily affected by traffic conditions and driving style, showing the tendency of randomness and personalization. Brake intention and intensity are integrated and control-oriented parameters that are crucial to the development of an intelligent braking system. In this paper, a composite machine learning approach was proposed to predict driver brake intention and intensity with a proper prediction horizon. Various driving data were collected from Controller Area Network (CAN) bus under a real driving condition, which mainly contained urban and rural road types. ReliefF and RReliefF (they don’t have abbreviations) algorithms were employed as feature subset selection methods and applied in a prepossessing step before the training. The rank importance of selected predictors exhibited different trends or even negative trends when predicting brake intention and intensity. A soft clustering algorithm, Fuzzy C-means, was adopted to label the brake intention into categories, namely slight, medium, intensive, and emergency braking. Data sets with misplaced labels were used for training of an ensemble machine learning method, random forest. It was validated that brake intention could be accurately predicted 0.5 s ahead. An open-loop nonlinear autoregressive with external input (NARX) network was capable of learning the long-term dependencies in comparison to the static neural network and was suggested for online recognition and prediction of brake intensity 1 s in advance. As system redundancy and fault tolerance, a close-loop NARX network could be adopted for brake intensity prediction in the case of possible sensor failure and loss of CAN message.
INTERNAL BARRIERS TO INTERNATIONAL R & D COOPERATION : THE CASE OF POLISH HIGH TECH FIRMS

The article presents the results of research on internal barriers hindering international R&D cooperation by Polish enterprises from the high tech industry. Cooperation in the R&D area and the related joint innovation is important for the firms’ development. The aim of the research, conducted on a representative sample of 400 Polish enterprises from the high tech sector, was to analyse their perception of international cooperation and to identify and assess barriers to R&D cooperation. The research sample is representative of Polish enterprises operating in the high tech sector in Poland. The analysis of research results used a cluster analysis to allow the use of dendrograms to select clusters similar to each other due to the assessment of internal barriers, and a multidimensional correspondence analysis showing the relationships between the selected groups. The research results show the moderation of Polish enterprises in establishing international cooperation and the most important internal barriers to establishing cooperation. The conducted analysis also shows differences in the perception of barriers depending on the size of enterprises (taking into account the size of employment and annual turnover). The research results will allow for a better understanding of the specificity of cooperation with Polish enterprises in the R&D area, taking into account the barriers they perceive and assess. They will also allow for the formation of strategic activities that will help to reduce barriers to international cooperation for Polish enterprises in the R&D area.
Research of Face Detection Based on Adaboost Algorithm and OpenCV Implementation

To solve the problem that the face detector is slow and its rate is low in complicated background,in this paper,we choose a face detector algorithm based on statistics.The principle and training flow of Adaboost face detector is detailedly introduced.The module combine imaging processing software OpenCV and Adaboost face detector algorithm is used to select extended Haar characteristics,then the face detector is realized and the result is given.62 faces is undetected when detector designed for 592 individuals face,and it can reatch about 20 frame/s.Therefore the method of more accuracy and real time.
THE CAUSES OF EMPLOYMENT COUNT DIFFERENCES REPORTED IN TWO BLS PROGRAMS

Introduction: The Bureau of Labor Statistics (BLS) measures employment using data from two major statistical programs--the Covered Employment and Wages Program (CEWP) and the Current Employment Statistics (CES) Program. Under CEWP virtually all businesses must provide quarterly reports showing monthly employment and quarterly wages. These data are used to administer the State Unemployment Insurance (UI) system and are usually available 6-9 months after the end of the reference quarter.
Current approach to idiopathic pulmonary fibrosis and considerations on diagnostic and treatment advances in Romania

Fibroza pulmonară idiopatică este o boală fibroproliferativă cronică, progresivă și ireversibilă, cu etiologie necunoscută, ce afectează exclusiv plămânii. În ultimul deceniu s-a constatat un interes crescut pentru această boală, în urma incidenței în creștere, a progreselor recente în definirea instrumentelor de diagnostic și a apariției noilor terapii antifibrotice. Mai mult, aceste noi instrumente de diagnostic și tratament au devenit disponibile și în România începând cu anul 2017. Această sinteză sumarizează cele mai importante aspecte ale abordului pacienților cu fibroză pulmonară idiopatică, precum factorii de risc cunoscuți, patogenia bolii și liniile generale ale diagnosticului și tratamentului acestei boli. O atenție specială este acordată controverselor diagnosticului; totodată, se trec în revistă ghidurile de practică actuale și principiile de tratament descrise și în literatură. Nu în ultimul rând, sunt prezentate și recomandările curente de tratament în România, cu accentuarea criteriilor de includere și de monitorizare a tratamentului. Cuvinte-cheie: fibroză pulmonară idiopatică, pneumonie interstițială tomografie computerizată de înaltă rezoluție, focare fibroblastice, tratament antifibrotic Abstract Rezumat
Attitudes toward statistics : the Effort of Learning

In order to meet the requirements of the college they attend, students from a broad spectrum of specialties take Introductory Statistics. However, they often find Statistics difficult, it scares them to work with statistical software or formulas and they do not always see the added value of statistics for their future job. As a result, teaching statistics requires a special didactical approach. Therefore it is helpful for teachers to have insight in students' attitudes toward statistics, especially the learning strategies they use and in changes therein as a result of taking their course. The paper presented here describes the results of a secondary analysis, following up on a PhD-project that took place in the Netherlands and Flanders from 2005 until 2007. During this project, 2,550 students took part in a pretest-posttest attitude-measurement using the SATS36 questionnaire developed by Schau in 1995; then, student outcomes were analyzed as a function of expectancies, attitudes (Affect, Cognitive Competency, Value, Difficulty, Interest & Effort), individual and institutional factors. In this paper the focus lies on the special position of Effort in the aforementioned model. Previous results indicate that Effort could possibly function as a mediator between the other 5 attitudes and the prediction of student outcomes, instead of acting as a direct indicator. Furthermore, Effort is assumed to fulfill a twofold function in student achievement models, dependent on the learning approach (deep or surface learning) that students adopt when taking Introductory Statistics. The first results of this secondary analysis imply that Effort indeed holds this special position. Not only does Effort act as a mediator for the effect of some attitude change on student outcomes, but controlling for perceived Difficulty also results in consistent positive correlations between Effort and attitude change on the four remaining components. Keyword 1: attitudes toward statistics Keyword 2: student outcomes Keyword 3: effort as a mediator Keyword 4: deep vs. surface learning approach Int. Statistical Inst. : Proc. 58th World Statistical Congress, 2011, Dublin (Session STS034) p.2794
A Model for Style Change Detection at a Glance Notebook for PAN at CLEF 2018

This year’s PAN Author Identification sub-task for style change detection deals with a single question, whether or not a document has multiple authors? To answer this simple question, a simple straightforward and fast approach is proposed in this document. Some basic stylometry analysis techniques e.g. word frequencies (for stop-words and other POS words), punctuations, word pair frequencies and POS pair frequencies. In order to make fast comparison among word windows, a fast comparison model is built that can produce results in a glance. This model showed 65.1% accuracy over evaluation dataset and 63.83% accuracy over training dataset.
ESTIMATION OF GENETIC AND ENVIRONMENTAL PARAMETERS FOR TWO BINARY TRAITS WITH AN UNDERLYING CONTINUOUS SCALEA SIMULATION STUDY

The study objective was to compare heritability and correlations estimated from linear model with those estimated from threshold model. Two simulation programs were used, one to simulate two continuous traits with the same level of heritability (h) of 0.17 and another to modify these traits into binary traits. Fifteen replicates were generated with two classes of fixed effect. Each replicate was analyzed twice, once by GS algorithm and another by MTDFREML algorithm using animal model. The concerned results from each analysis were heritability and genetic and residual correlations. Bias and mean squared errors (MSE) of h and genetic and residual correlations estimates were used to assess the quality of h and genetic and residual correlations estimates obtained by different algorithms. For the two traits, the statistical model used included type of algorithm (MTDFREML vs Gibbs sampling), type of trait (continuous trait vs binary trait) on the bias of heritability and genetic and residual estimates plus the 2-way interaction. For bias of heritability, all these effects were significant (p<0.01). For genetic correlation estimates, none of the effects and interaction were significant (p>0.05) while for residual correlation estimates, all these effects were significant (p<0.0001). In estimation of heritabilities for continuous traits, the GS algorithm is equivalent to MTDFREML algorithm. For binary traits, the GS algorithm is the best. GS estimates of genetic correlations were similar to MTDFREML estimates while for the residual correlation, the marginal maximum likelihood (GS) estimates are superior to the estimates from the linear model (MTDFREML).
THE DIFFERENCES IN COST EFFICIENCY OF DAIRY FARMS IN FOUR REGIONS OF POLAND

The cost efficiency of the dairy subsector has been analyzed using data for four FADN regions in Poland for the period 2004/05-2007/08. The cost inefficiency indexes have been calculated for each farm from each region. Overall, all applied measures have been statistically significant in the heteroskedasticity consistent estimation except for the farmer’s age. Regional differences have been pronounced and the benchmark Mazowsze and Podlaskie region showing higher cost efficiency than two other major regions, but not a minor, in terms of dairy production, Małopolska and Pogórze region. It is likely that the regional specialization will continue with the benchmark region gaining further advantage. A sub-regional analysis has been recommended for the future study.
The analysis of an unrepeatability of cylinder pressure signal in internal combustion engines

W pracy przeprowadzono analizê niepowtarzalnoœci sygna3u ciœnienia indykowanego w statycznych warunkach pracy silnika. Stwierdzono znacz1 niepowtarzalnoœæ badanego sygna3u, wynikaj1c1 z nierównomiernoœci prêdkoœci obrotowej oraz z zak3óceñ wartoœci ciœnienia w poszczególnych pseudookresach. Zbadano stacjonarnoœæ sygna3u ciœnienia indykowanego. Zaproponowano metodê wtórnego próbkowania w dziedzinie k1ta obrotu wa3u korbowego, dziêki czemu zastosowanie uœredniania synchronicznego do tak przetworzonego sygna3u okaza3o siê skutecznym sposobem zmniejszenia udzia3u zak3óceñ w podstawowym sygnale okresowym. Zbadano w3aœciwoœci statystyczne sygna3u odchy3ki ciœnienia indykowanego od ciœnienia uœrednionego w pseudookresach. Stwierdzono, ¿e jest to szum szerokopasmowy i ¿e nie ma podstaw do sformu3owania hipotezy o zgodnoœci badanego sygna3u z rozk3adem normalnym. S3owa kluczowe: silniki spalinowe, indykowanie silników spalinowych, sygna3 ciœnienia indykowanego
Chapter 4 Methodological cross-fertilization : Empirical methodologies in ( computational ) linguistics and translation studies

Recent years have seen attempts at improving empirical methodologies in contrastive linguistics and in translation studies through interdisciplinary collaboration with multi-layer corpus architectures in computational linguistics. At the same time, explanatory background for empirical results is increasingly sought in more sophisticated models of language contact in typologically based contrastive linguistics on the one hand, and in language processing in situations of multilinguality, including translation, on the other. Three attempts are discussed to narrow the significant gap between the high level of abstraction of such models, and data provided through shallow analysis and annotation of electronic corpora.
Machine Translation Evaluation Metric for Text Alignment Notebook for PAN at CLEF 2014

As plagiarisers become cleverer, plagiarism detection becomes harder. Plagiarisers will find new ways to obfuscate the plagiarized passages so that humans and automatic plagiarism detectors are not able to point them out. So, a plagiarism detection system needs to be robust enough to detect plagiarism, no matter what obfuscation techniques have been applied. Our system attempts to do the same by combining two different methods, one stricter to catch mildly obfuscated passages and one more lenient to catch difficult ones. We use a machine translation evaluation metric and n-gram matching to detect overlaps between the source and suspicious documents. On the PAN’14 corpus, which contains data with various types of obfuscation to mimic human plagiarisers, we obtained plagdet scores of 0.84404 and 0.86806 on the two datasets.
Stochastic Dynamics of Sea Surface Winds

The probability distribution of sea surface winds (both vector winds and wind speed) is considered. The observed moment fields, estimated from SeaWinds scatterometer data, are shown to be characterised by non-trivial relationships such that higher-order moments are functionally dependent on lower-order moments. The physical mechanisms underlying these relationships are elucidated using a simple stochastic model derived from boundary layer dynamics. A class of more quantitatively accurate empirical models for the probability distribution of sea surface winds is discussed.
1980: DESIGN EFFECTS FOR LINEAR CONTRASTS OF PROPORTIONS AND LOGITS

The design effects of two measures of interaction, linear contrasts of subclass proportions (L) and l o g i t s ( L ) , a r e examined a n a l y t i c a l l y and e m p i r i c a l l y , g The e f f e c t s o f c l u s t e r e d s e l e c t i o n a r e e x p r e s s e d i n t e r m s o f m e a s u r e s o f i n t r a c l u s t e r h o m o g e n e i t y and m e a s u r e s r e f l e c t i n g t h e d e g r e e o f c o v a r i a n c e o f c l u s t e r means f o r d i f f e r e n t c h a r a c t e r i s t i c s a c r o s s c l u s t e r s , o r c r o s s h o m o g e n e i t y . The d e s i g n e f f e c t s L and L_ a r e shown t o be n e a r l y i d e n t i c a l . Three d i f f e r e n t m o d e l s a r e p r o p o s e d f o r t h e d e s i g n e f f e c t s o f t h e s e l i n e a r c o n t r a s t s i n t e r m s o f a w e i g h t e d a v e r a g e o f t h e d e s i g n e f f e c t s o f t h e s u b c l a s s p o p u l a t i o n s , t h e i n t r a c l u s t e r h o m o g e n e i t y and t h e c r o s s h o m o g e n e i t y q u a n t i t i e s . The d e s i g n e f f e c t s a r e e s t i m a t e d f o r f i f t y t a b l e s g e n e r a t e d from d a t a f rom t h e H e a l t h E x a m i n a t i o n S u r v e y . They a r e shown t o be s m a l l e r t h a n t h e a v e r a g e s u b c l a s s p r o p o r t i o n d e s i g n e f f e c t s from t h e t a b l e s and to depend on t h e s i z e o f t h e a v e r a g e s u b c l a s s p r o p o r t i o n d e s i g n e f f e c t .
ESTIMATION IN THE PRESENCE OF CORRELATED NOISES

We propose a method for distributed sequential estimation in the presence of correlated noises. At each time slot, a node exchanges information with its neighbors and then updates the estimate by using the received information from its neighbors and its local observation. It is assumed that the noises have the Markov property with respect to the network topology. A doubly stochastic matrix for combining information from the nodes is employed to average the sufficient statistics over the network. We show that the performance of the proposed method converges to that of the centralized optimal estimator as the iterations go on. Therefore, our algorithm approaches the Cramér-Rao bound asymptotically.
Estimation of Regression Coefficients with Unequal Probability Samples

We compare alternative estimators for regression coefficients estimated with data from a complex survey. The ordinary least squares estimator is a common choice of researchers, but under an informative design, the ordinary least squares estimator is biased. The probability weighted estimator is consistent but may have a large variance. Design consistent estimators based on instrumental variable procedures are compared theoretically and in a Monte Carlo study.
High-performance polymers in dental practice

DUBAI, UAE/LEIPZIG, Germany: A method used in developing countries to restore dental cavities may be a viable alternative for conventional tooth restorations, scientists from Johannesburg in South Africa are reporting. In a systematic review involving clinical studies in China and the Middle East, they found that survival rates of restorations using Atraumatic Restorative Treatment (ART) are comparable, and to some extent superior, to those placed with amalgam.
Martian Dust Particle Size During the 2018 Planet-Encircling Dust Storm as Measured by the Curiosity Rover

We present retrievals of dust particle effective radius during the 2018 planet-encircling dust storm from the Mars Science Laboratory Curiosity rover. Four independent observations with three of the rover’s instruments were used for retrievals. We find dust particle radii exceeded 4 μm and possibly 5 μm during the height of the storm, which represent the largest dust particles yet seen in the martian atmosphere.
Response to reviewer 1 on the article ‘Basestock Policies with Reservations’

All intensively studied and widely applied inventory control policies satisfy demand in accordance with the First-Come-First-Served (FCFS) rule, whether this demand is in backorder or not. Interestingly, this rule is sub-optimal when the fill-rate is constrained or when the backorder cost structure includes fixed costs per backorder \emph{and} costs per backorder per unit time. In this paper we study the degree of sub-optimality of the FCFS rule for inventory systems controlled by the well-known base-stock policy. As an alternative to the FCFS rule, we propose and analyze a class of generalized base-stock policies that reserve some maximum number of items in stock for future demands, even if backorders exist. Our analytic results and numerical investigations show that such alternative stock reservation policies are indeed very simple and considerably improve either the fillrate or reduce the total cost, without having much effect on the backorder level
Structured Self-Monitoring of Blood Glucose Signi fi cantly Reduces A 1 C Levels in Poorly Controlled , Noninsulin-Treated Type 2 Diabetes Results from the Structured Testing Program study

RESEARCH DESIGN AND METHODS—This 12-month, prospective, clusterrandomized, multicenter study recruited 483 poorly controlled (A1C $7.5%), insulin-naïve type 2 diabetic subjects from 34 primary care practices in the U.S. Practices were randomized to an active control group (ACG) with enhanced usual care or a structured testing group (STG) with enhanced usual care and at least quarterly use of structured self-monitoring of blood glucose (SMBG). STG patients and physicians were trained to use a paper tool to collect/interpret 7-point glucose profiles over 3 consecutive days. The primary end point was A1C level measured at 12 months.
VTE : une technique de pointage à distance

Cet article presente la technique d’interaction VTE (Voronoi-based Target Expansion), pour pointer sur une cible numerique affichee sur un ecran distant. VTE exploite l’espace libre entre les cibles a l’ecran en partageant l’espace de l’ecran en zones de grandeur optimale pour chaque cible selon une tesselation de Voronoi. Les zones sont affichees de facon statique sur l’ecran et l’utilisateur peut selectionner une cible en pointant n’importe ou dans la zone correspondant a la cible. Ainsi VTE facilite le pointage en augmentant la taille des cibles dans l’espace visuel et moteur. De nombreux environnements necessitent de pouvoir interagir avec des objets numeriques sur un ecran distant. Notre domaine d’application est la chirurgie augmentee.
Studying the Effects of Performing Text Mining to Improve Classification of Clustered Questions based on Bloom Taxonomy

This project is about analyzing the effects of classifying the written exam question into cognitive level of Bloom’s taxonomy. Correctly analyze and classify the written exam questions into correct cognitive level can generate a good set of exam questions. As known by many educators, classifying exam question into its cognitive level is a tedious task and required full attention by educators. Moreover, there are situations where one keyword of cognitive level belongs to more than one level which could be an issue of difficult to determine the correct cognitive level of questions. To solve the problem of classifying exam question faces by educators, the techniques information retrieval of text mining were implements in this project. Before that, question bank are required to perform text preprocessing to generate the clean data. The activities done under text preprocessed are such as data transformation, tokenization of question and stop word removal. The effects of classifying the clustered data being analyzed to study the possible hidden pattern of classifying based on Bloom’s Taxonomy.