Miracle-dz/UniFAR-FTUs huggingface dataset:
A Cost-effective and Lightweight Membership Assessment for Large-scale Data Stream

The membership primitive is a classic and fundamental problem in many use cases. In networking for instance, it is useful to check if a given IP address belongs to a black list or not, in order to allow access to a given server. This has also become a key issue in very large-scale distributed systems, or in massive databases. Formally, from a subset belonging to a very large universe, the problem consists in answering the question “Given any element of the universe, does it belong to a given subset? ”. Since the access of a perfect oracle answering the question is commonly admitted to be very costly, it is necessary to provide efficient and inexpensive techniques in the context where the elements arrive continuously in a data stream (for example, in network metrology, log analysis, continuous queries in massive databases, etc.). In this paper, we propose a simple but efficient solution to answer membership queries based on a couple of Bloom filters. In a nutshell, the idea is to contact the oracle only if an item is seen for the first time. We use a classical bloom filter to remember an item occurrence. For the next occurrences, we answer the membership query using a second bloom filter, which is dynamically populated only when the database is queried. We provide theoretical bounds on the false positive and negative probabilities and we illustrate through extensive simulations the efficiency of our solution, in comparison with standard solutions such as a classic bloom filter.
Transformational Leadership and Teacher ’ s Performance : The mediating role of motivation and commitment

This multilevel study examines the psychological mechanisms (i.e., motivation and commitment) that might underlie the relationship between transformational leadership and job performance. Models were tested using the sample of teachers, n = 266 embedded in 55 teams from secondary schools in Malaysia. Using hierarchical linear modeling (HLM), we found that there was a cross-level effect of transformational leadership on motivation, commitment and performance. In conclusion, our finding proposes that transformational leadership is a vital 307 Nor Zanariah Talib et al. Opción, Año 35, Especial No.21 (2019): 306-322 organizational leadership style construct, and acts to enhance teachers’ performance via psychological boost.
Selected Aspects of Multiple-Point Statistics

This paper discusses several aspects of the inference and use of multiple-point statistics in geostatistical simulation. We briefly review the problems encountered when integrating this information with other sources. The issues of stationarity and representativeness of the high-order statistics are discussed. Several methods are proposed to integrate multiple-point statistics extracted from a training image or dense production data to the conventional sequential indicator simulation. Some exploratory examples are presented and we discuss the problems encountered during the implementation of these methods. The property of an estimate to be non-convex is explained and some attempts at comparing the performance of the methods are shown. Introduction Integration of multiple-point (MP) statistics into geostatistical models is difficult because the inference of these statistics is often unreliable and their use in a kriging-like framework requires the positive semi-definite modelling of covariances between MP events and singlepoint events. This modelling would call for the knowledge of the multivariate distribution of the variable. One way to overcome these problems is to use a training image deemed representative of the phenomenon being studied [1, 3, 8, 16, 17]. This raises different problems: the representativeness of this training image, the scale of the training image, the grid definition of the simulated model, and the univariate distribution of the training image. One concern is the amount of information deemed general to the phenomenon and the amount considered particular to the training image. The goal is not to reproduce the training image, but to simulate a model that shares some of the multivariate characteristics of the true distribution. The paradigm of the extended normal equations, really a single normal equation, solves most of these problems [8, 16]. A conditional distribution function is calculated that considers the MP configuration in a neighborhood. In general, this is done by discretizing the conditional distribution in the indicator framework. The probability of that particular location to be below a threshold is given by the frequency of occurrence of that MP configuration in the training image. Therefore, there is no kriging system to solve. The multivariate distribution is being approximated by the frequencies extracted from the training image. If
Stabilization of Arbitrary Switched Nonlinear Fractional Order Dynamical Systems: Application to Francis Hydro-Turbine Governing System

This paper is a theoretical and practical study on the stabilization of fractional order Lipschitz nonlinear systems under arbitrary switching. The investigated system is a generalization of both switched and fractional order dynamical systems. Firstly, a switched frequency distributed model is introduced as an equivalent for the system. Subsequently, a sufficient condition is obtained for the stabilizability of the system based on the Lyapunov approach. Finally, the results are extended to synthesis mode-dependent state feedback controller for the system. All the results are expressed in terms of coupled linear matrix inequalities, which are solvable by optimization tools and directly reducible to the conditions of the integer order nonlinear switching systems as well as the conventional non-switched nonlinear fractional order systems. The proposed method has various practical implications. As an example, it is utilized to control Francis hydro-turbine governing system. This system is represented as a switching structure and supposed to supply a load suffering abrupt changes driven by an arbitrary switching mechanism. The simulation results support the usefulness of the method.
Application of geoinformation technologies for the assessment of landscape structure using landscape-ecological indexes (case study of the Handlová landslide)

New versions of geoinformation technologies and its various extensions enable to obtain quality and more accurate information about the landscape and its properties. The aim of the paper is to point out to the use of selected extensions in geographic information systems (GIS) which make the time-consuming and complex calculations within the analysis, assessment and interpretation of the landscape more effective. With the use of digital vector map, it is possible, by the means of GIS extensions, to calculate the number, shape, size, dispersion, diversity, neighboring relations of patches as well as many other indexes. In the paper, we deal with three extensions (V-LATE, Patch Analyst, and StraKa) that are compatible with ArcGIS/ArcView software. These specialized extensions were applied for the analysis of the spatial landscape structure in the area of the catastrophic Handlová landslide from the year 1961 which was analyzed also in terms of changes in landscape structure for the time period of 228 years.
Big data processing tools: An experimental performance evaluation

Big Data is currently a hot topic of research and development across several business areas mainly due to recent innovations in information and communication technologies. One of the main challenges of Big Data relates to how one should efficiently handle massive volumes of complex data. Due to the notorious complexity of the data that can be collected from multiple sources, usually motivated by increasing data volumes gathered at high velocity, efficient processing mechanisms are needed for data analysis purposes. Motivated by the rapid growth in technology, development of tools, and frameworks for Big Data, there is much discussion about Big Data querying tools and, specifically, those that are more appropriated for specific analytical needs. This paper describes and evaluates the following popular Big Data processing tools: Drill, HAWQ, Hive, Impala, Presto, and Spark. An experimental evaluation using the Transaction Processing Council (TPC‐H) benchmark is presented and discussed, highlighting the performance of each tool, according to different workloads and query types.
The Influence of Increased CO 2 on Early Developmental Stages of Cobia , Rachycentron canadum

of a dissertation at the University of Miami. Dissertation supervised by Professors Nelson Ehrhardt & Daniel Benetti. No. of pages in text. (81) Projected increases in atmospheric CO2 and the resulting decrease in oceanic pH over the course of the 21 century warrant studies on the effects of these abiotic environmental changes on marine teleosts. The goal of this dissertation was to assess the impact of projected changes in CO2 on the early physiological dynamics and development of cobia, Rachycentron canadum. Cobia are widely distributed marine teleosts, which typically hatch in ca. 24 h. Respiration rates of cobia spermatozoa displayed a non significant decrease from 1.0 + 0.2 nmol O2/mL semen·sec + S.E. at 380 ppm CO2 to 0.7 + 0.1 nmol O2/mL semen·sec + S.E. at 800 ppm CO2. Spermatozoa mean velocity decreased from 22.1 + 0.5 to 14.9 + 0.4 μm/sec + S.E. for one male and from 16.9 + 0.4 to 15.5 + 0.5 μm/sec + S.E. for the second male. Both decreases in velocity were statistically significant. Respiration rates of cobia embryos for the year 2100 CO2 level (800 870 ppm) and beyond (~ 2900 ppm) were assessed. Utilizing pooled data for the respirometer methodology, the embryo respiration rate decreased from 3.9 + 1.1 to 3.2 + 0.9 nmol O2/embryo/hr + S.E. at the year 2100 projection but it was not significant. Regression analysis did not show a statistically significant difference across the CO2 levels examined (400, 480, 500, 580, 1020, 2920 ppm) for the biological oxygen demand bottle method. Embryonic development after 9 and 19 hrs exposure to elevated levels of CO2 (876, 949, 957 ppm) were not significantly different. The mean rate of oxygen consumption of cobia yolk-sac larvae decreased from 10.7 + 3.4 nmol O2/larvae/hr + S.E. at 380 ppm to 6.6 + 2.3 nmol O2/larvae/hr + S.E. at 800 ppm. Yolksac larvae mean total length decreased from 2.59 + 0.34 to 2.29 + 0.28 mm + S.D. at 560 ppm but increased to 2.89 + 0.28 mm + S.D. at 800 ppm CO2 in the first trial. These differences were significant. Mean total length of yolk-sac larvae increased at high CO2 levels (800, 876, and 957 ppm) for three of the four trials but only the first and last were statistically significant. These results on pH effects suggest early life history stages of cobia may be resistant to near future CO2 levels.
Assessment report on the use of avoidance behaviour monitoring for real time impact assessment of mining activity Foreword

Using in situ remote monitoring (video, still photographic imagery) of avoidance behaviours of macroand megafauna may provide ‘early warning’ evidence of the impacts of mining on hydrothermal ecosystems. Pioneering deep-sea observatories at vents have installed video-recording modules that provide essential information on natural behaviour of native species; this report shows is that in situ observations should be completed by experiments and analyses on live samples of these fauna. Laboratory investigations on live vent fauna are described, some of which are still underway and supported by the MIDAS project. The different instruments and facilities supporting such studies are also presented. The report concludes on the necessity of in situ visual monitoring, combined with a more generalised review of equipment allowing studies of live fauna at the laboratory. A final point calls for new generations of deeperand longer-operating pressure instruments, to improve sampling and studies of live vent fauna. MIDAS D3.3: Assessment report on the use of avoidance behaviour monitoring
Mixture Model Clustering Using Variable Data Segmentation and Model Selection: A Case Study of Genetic Algorithm

A genetic algorithm for mixture model clustering using variable data segmentation and model selection is proposed in this study. Principle of the method is demonstrated on mixture model clustering of Ruspini data set. The segment numbers of the variables in the data set were determined and the variables were converted into categorical variables. It is shown that variable data segmentation forms the number and structure of cluster centers in data. Genetic Algorithms were used to determine the number of finite mixture models. The number of total mixture models and possible candidate mixture models among them are calculated using cluster centers formed by variable data segmentation in data set. Mixture of normal distributions is used in mixture model clustering. Maximum likelihood, AIC and BIC values were obtained by using the parameters in the data for each candidate mixture model. Candidate mixture models are established, to determine the number and structure of clusters, using sample means and variance-covariance matrices for data set. The best mixture model for model based clustering of data is selected according to information criteria among possible candidate mixture models. The number of components in the best mixture model corresponds to the number of clusters, and the components of the best mixture model correspond to the structure of clusters in data set.
Study on badminton system with auxiliary training based on Kinect motion capture

First, the paper studies the algorithm to repair self-occlusion body joint information. Due to the existence of human self-occlusion, the motion capture data is not credible. According to the invariance of the length of human body skeleton and the continuity of human movement, this paper proposes a quick geometric method to repair the skeleton information. The experiments show that the algorithm can real-time repair more than half of the obscured joints information, especially the end of the joint information. Then, study the movement redirection based on constraints of terminal effectors. Different human motions are assigned to another role, it will case feet penetrate the ground, sliding, skin stretching or distortions due to bone size inconsistencies. Base on bone length scale factor of virtual role and Capture body, this thesis proposes a movement redirect method of end constraint effectors. First determine the end constraint of the first frame, and get the three-dimensional coordinate information of the end constraint; secondly, based on the length of the human skeleton invariance redirect the three-dimensional coordinates of the other joints. Third, determine the end constraint of the next frame and get its threedimensional coordinates; finally, calculate other joints three-dimensional coordinates of other frames. The experimental results show that the algorithm can solve the problem of distortion animation, and get standard capture motion data, which will conducive to data analysis.
Measuring Implementation Fidelity October 2009

This publication was developed by James Bell Associates on behalf of the Children’s Bureau, Administration for Children and Families (ACF), U.S. Department of Health and Human Services (HHS), under Contract Number GS10F0204K, Order Number 06Y010102. Its contents are the sole responsibility of the author and do not necessarily represent the official views of the Children’s Bureau, ACF, or HHS. Introduction
A Structure of FEM Matrix by Lagrange Basis Polynomials

When the formula of Lagrange basis polynomials (LBPs) and an algebraic identity of fractions are used in combination, a product of two different LBPs is re-expressed as a sum of two functions. When N is the number of basis polynomials for an element of FEM, the discretized matrix of an operator such as potential function may be dense and has O(N) non-zero entries by its original definition, but it can be re-expressed in the combination of entries of reduced matrices which have only O(N) values in total. Therefore, the amount of storage to represent the discretized operator would be reduced.
Interactive comment on “ Sensitivity studies of different aerosol indirect effects in mixed-phase clouds ” by U . Lohmann

This manuscript investigates the relative importance of glaciation versus de-activation effects in mixed phase clouds due to anthropogenic activity. Several different simulations schemes are tested and results are compared to available field data. The results suggest that the studied phenomena might potentially have a large effect on the aerosol indirect effect and radiative forcing. The topic is important and well within the scope of ACP. I recommend publications after the authors have addressed the following minor issues:
Life is live : Experiencing music in the digital age

The music industry has seen many changes over recent decades: one of the most discussed is the change in user behaviour and its implications for buying behaviour. Although music reception has become omnipresent in everyday life, the music industry has faced a decrease in recorded music revenues while the live music sector has grown. This paper argues that through digital information/communication technologies the "immediate experience of music reception" is becoming a shared concept of "life 2.0" and live settings.
Stress Analysis of San Vitale ’ s Basilica in Ravenna : Current State and Mid-term Predictions

A finite element model was developed to analyze the Basilica of San Vitale in Ravenna, a Byzantine building which suffers diffused cracking and excessive deformation. In the structural analyses account was taken of permanent loads and ground settlements increasing in time. The tensile stresses predicted by a linear elastic stress analysis agree with most of the observed cracks. Assuming the ground settlements to increase at the currently estimated rate, the stresses in several parts of the Basilica might seriously endanger the stability of the building during the present century. between the two parts of the church of about 12 cm, rising toward the apse. The average subsidence of the building is of the order of 0.1 mm per year. In this paper, the results are shown of structural analyses, based on a finite element model of the Basilica, with the aim of assessing the shortand mid-term safety of the building. Account was taken of permanent loads (self-weight) and boundary displacements increasing in time. Figure 1 : Present plan of the Basilica; left: ground floor; right: women’s gallery floor.
Poster : Assessing the Effectiveness of Countermeasures Against Authorship Recognition

Methods for authorship recognition were originally developed to aid in criminal investigations and attribution of historical texts. Nowadays, however, in an age in which the Internet has become the central platform for day-to-day social interactions and communication, authorship recognition technology can be abused to break the anonymity of users by identifying the authors of user-generated text content. While there have been recent advances in adversarial stylometry, which investigates the impact of obfuscation and imitation on current authorship recognition techniques, no comprehensive model for the assessment of countermeasure effectiveness currently exists. In this work, we introduce a novel measure for assessing the context-dependent importance of writing style features in authorship recognition. From this measure, we furthermore derive an additional measure for assessing the effectiveness of authorship-recognition countermeasures by analysing how well these countermeasures reduce the importance of the affected features. We then utilise these measures to conduct a large-scale evaluation of four semantics-retaining countermeasures and their combinations on a dataset of 923,997 comments collected from the online social network Reddit. We examine the practical impact of these countermeasures on the importance of standard writing style features and explore the outcome of combining several countermeasures at the same time. Moreover, we validate our approach by applying it to the Extended-Brennan-Greenstadt Adversarial Corpus and comparing our results with previous research.
Spatial Genetic Patterns and Distribution Dynamics of the Rare Oak Quercus chungii: Implications for Biodiversity Conservation in Southeast China

A rapidly changing climate and frequent human activity influences the distribution and community structure of forests. Increasing our knowledge about the genetic diversity and distribution patterns of trees is helpful for forest conservation and management. In this study, nSSRs (nuclear simple sequence repeats) were integrated with a species distribution model (SDM) to investigate the spatial genetic patterns and distribution dynamics of Quercus chungii F.P.Metcalf, a rare oak in the subtropics of southeast China. A total of 188 individuals from 11 populations distributed across the natural range of Q. chungii were genotyped using nine nSSRs. The STRUCTURE analysis indicated that genetic admixture was present in all populations, but the population genetic variation and genetic differentiation were related to their geographical distributions. The SDM result indicated that Q. chungii retreated to the Nanling Mountains and adjacent areas during the Last Glacial Maximum (LGM) period, which corresponds to higher genetic diversity for populations in this region. Landscape genetic analysis showed that the Nanling Mountains served as a corridor for organism dispersal at the glacial and interglacial periods within the Quaternary. Based on these results, we propose that establishing nature reserves to protect the ecological corridor across the Nanling Mountains is necessary for the conservation of regional species genetic diversity, as well as the ecosystem of evergreen broadleaved forests in southern China. The study combines species distribution models and genetic diversity to provide new insight into biodiversity conservation and forest management under future climate change.
Confronting civil war : the case of risk managing strategies in South Sudan in the 1990 s

The designations employed and the presentation of material in this paper do not imply the expression of any opinion whatsoever on the part of the Rome-based agencies (FAO, IFAD, WFP) or their governing bodies, or the CFS and its governing bodies concerning the legal or development status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries.
Withholding / Withdrawing Treatment to Neonates Born with Impairment Best Interest , Medical Futility , and Distributive Justice

The ethical validity of withholding/withdrawing treatment to neonates with impairment has been publicly argued since Duff and Campbell published a paper in 1973 (Duff [1973]). They reported 43 newborns of 299 who passed away at Yale-New Haven Hospital, from January to June of 1970. The 43 newborns died as a result of withdrawing treatment and these particular cases complied with the hospital policies for care. These cases were alarming because they revealed the fact that withholding/withdrawing treatment to neonates with impairment had been practiced in secret and with the tacit consent of the people involved. This secrecy and lack of transparency started a public discussion about the moral justifiability of such a medical policy. Duff and Campbel l fur ther repor ted the actual state of withholding/withdrawing treatment to neonates with impairment in the USA, but similar measures have been applied in other countries. In Germany, the “Einbecker Empfehlung”, adopted by German Association of Medical Law in 1986, admitted withholding/withdrawing treatment to neonates with impairment under certain conditions. In France also, the National Ethics Advisory Committee Report No.65 announced findings that withholding/withdrawing treatment to neonates with impairment was routinely practiced (Sawano [2012:296]). In Japan, according to a survey conducted by ABSTRACT