Miracle-dz/UniFAR-FTUs huggingface dataset:
The relationship between lexical stress and intonation in the prosodical characterization of the Brazilian Portuguese spoken in the North of Brazil

This paper aims to present an intradialectal analysis of the modal intonation role on Brazilian Portuguese spoken in northern Brazil. We selected speech samples from four survey areas of Para State from AMPER corpora. The corpus is formed by 12 sentences grouped by lexical stress and realized in both intonational modalities. The data analyzed in this work comprised 1,728 data (12 sentences x 2 intonation modalities x 3 best repetitions x 4 survey areas x 6 speakers) and to handle such an amount of data an automated data processing was carried out. So, the data reveal an identity between the spoken varieties in the north of Brazil with regard to modal intonation. The results support a hypothesis of a circumflex intonation contour to mark questions, valid in all survey areas, which reinforces the previous description for the interrogative in PB, rising on the stressed syllable, downward on the posttonic syllable.
A New Plagioclase-Liquid Hygrometer Specific to Trachytic Systems

We present a new empirical plagioclase-liquid hygrometer for estimating the amount of H2O dissolved in trachytic magmas. The hygrometer is based on the exchange reaction of anorthite between plagioclase and liquid, and is calibrated using crystallization experiments where the concentration of H2O in quenched glasses has been accurately determined based on Fourier Transform Infrared Spectroscopy (FTIR) analysis. The multiple linear regression of plagioclase-liquid cation fractions and components from experimental data obtained at 150–202 MPa, 850–1020 °C, 1.17–7.57 wt. % H2O and ΔNNO + 2.5 buffer, yields to a highly accurate model with uncertainty of only ±0.29 wt. % H2O. The model reliability has been demonstrated using an independent test data set consisting of crystallization experiments from the literature and thermodynamically derived compositions. The fairly good convergence between our model calibration and the test data set excludes systematic H2O overestimates or underestimates caused by miscalibration and data overfitting. The plagioclase-liquid hygrometer from this study has been applied to trachyandesitic (latitic) and trachytic products erupted over the last 1000 years at the La Fossa cone of Vulcano Island (Aeolian Islands, Southern Italy). Results from calculations indicate that the concentration of H2O in the latitic and trachytic melts is comprised between ~2.5 and ~3.5 wt. %. These values are in good agreement with data from melt inclusions and, overall, testify to low-pressure, open-system differentiation of trachytic magmas under strong degassing conditions.
Study on existing spatio-temporal data models

The key definitions of spatio-temporal data modeling are summarized and the requirements of spatio-temporal database community,including temporal semantics,spatial semantics,spatio-tem- poral semantics and query capabilities are specified.Through the investigation on the applications of the existing spatio-temporat data models in spatio-temporal domain,a comparison among these models for evaluating their capabilities in the four fields above mentioned is provided and the various approach- es are assessed.As a result,spatio-temporal object-oriented data model and moving object data model behave more strongly in the expressions of the spatio-temporal objects.
The non-zero mean SIMEX: Improving estimation in the face of measurement error

Abstract:The simulation extrapolation method developed by Cook and Stefanski (1995) is a simulation based technique for estimating and reducing bias due to additive measurement error armed only with knowledge of the variance of the measurement error distribution. However there are many instances in which validation data are not available, and measurement error is known not to have mean zero. For example, in assessing phylogenetic cluster size of HIV viruses, cluster size is systematically underestimated since clustering can only be performed on the viruses of those individuals who have presented for testing. In this setting, it is not possible to obtain validation data; however, using knowledge gleaned from the literature, the distribution of the errors may be estimated. In this work, we extend the simulation extrapolation procedure to accommodate errors with non-zero means, motivated by an interest in determining behavioural correlates of HIV phylogenetic cluster size. We provide theoretical justification for the generalization to the non-zero mean measurement error case, proving its consistency and demonstrating its performance via simulation. We then apply the result to data from a the province of Quebec in Canada to show that findings from a naïve analysis are robust to a substantial range of possible measurement error distributions.
An Efficient Searching for Non-FormulatingQueries

Formulating search queries are to determine relation completion (RC) in concert revenant drawback that's central to the success of novel huge knowledge applications like Entity Reconstruction and knowledge Enrichment. Given a linguistic relation ℜ and relation completion makes an attempt at linking entity pairs between 2 entity lists and to accomplish the RC goals, we tend to propose to formulate search queries for every question entity α supported some auxiliary info, so to observe its target entity β from the set of retrieved document . The amount of large available data could decrease the chance of finding appropriate target entities exactly and also an alternative method, is to propose CoRE method that uses context terms and to extract data from database. Finally, the experimental results supported many real-world collections demonstrate that CoRE reaches a way higher accuracy than PaRE for the aim of RC
Region-based collaborative sparse unmixing of hyperspectral imagery

Sparse unmixing (SU) has been investigated to select a small number of endmembers from a large spectral library, which is a pixel-based technique. In image-based collaborative sparse unmxing (CSU) techniques, pixels are forced to select the same small set of endmembers. In reality, the same small set of endmembers may be responsible for pixel construction within a homogeneous area. For an entire image, the endmember sets are often different. So, in this paper, we propose a region-based collaborative sparse unmixing (RCSU) algorithm, and the region may include nonlocal areas as long as they belong to the same type of homogeneous segments. Experimental results show that the overall performance of the proposed RCSU algorithm is better than that of image-based CSU or pixel-based SU.
THE END OF HELIUM REIONIZATION AT z ≃ 2.7 INFERRED FROM COSMIC VARIANCE IN HST/COS He ii Lyα ABSORPTION SPECTRA

We report on the detection of strongly varying intergalactic He ii absorption in HST/COS spectra of two zem ≃ 3 quasars. From our homogeneous analysis of the He ii absorption in these and three archival sightlines, we find a marked increase in the mean He ii effective optical depth from at z ≃ 2.3 to at z ≃ 3.2, but with a large scatter of at 2.7 < z < 3 on scales of ∼10 proper Mpc. This scatter is primarily due to fluctuations in the He ii fraction and the He ii-ionizing background, rather than density variations that are probed by the coeval H i forest. Semianalytic models of He ii absorption require a strong decrease in the He ii-ionizing background to explain the strong increase of the absorption at z ≳ 2.7, probably indicating He ii reionization was incomplete at zreion ≳ 2.7. Likewise, recent three-dimensional numerical simulations of He ii reionization qualitatively agree with the observed trend only if He ii reionization completes at zreion ≃ 2.7 or even below, as suggested by a large in two of our five sightlines at z < 2.8. By doubling the sample size at 2.7 ≲ z ≲ 3, our newly discovered He ii sightlines for the first time probe the diversity of the second epoch of reionization when helium became fully ionized.
Research on Typical Event Extraction Method in the Field of Music

Event extraction is an important research issue in information extraction.This paper focuses on the music domain,and describes a method based on trigger clustering for event type discovering.Then we propose a method based on the filtering of keywords and triggers for event type recognition.For the event argument recognition,the method which is based on maximum entropy model is proposed in this paper.Evaluations on our corpus give a final F-score of 82.82% and 75.79% for type recognition and argument recognition.
DEEP KECK u-BAND IMAGING OF THE HUBBLE ULTRA DEEP FIELD: A CATALOG OF z ∼ 3 LYMAN BREAK GALAXIES

We present a sample of 407 z ∼ 3 Lyman break galaxies (LBGs) to a limiting isophotal u-band magnitude of 27.6 mag in the Hubble Ultra Deep Field. The LBGs are selected using a combination of photometric redshifts and the u-band drop-out technique enabled by the introduction of an extremely deep u-band image obtained with the Keck I telescope and the blue channel of the Low Resolution Imaging Spectrometer. The Keck u-band image, totaling 9 hr of integration time, has a 1σ depth of 30.7 mag arcsec−2, making it one of the most sensitive u-band images ever obtained. The u-band image also substantially improves the accuracy of photometric redshift measurements of ∼50% of the z ∼ 3 LBGs, significantly reducing the traditional degeneracy of colors between z ∼ 3 and z ∼ 0.2 galaxies. This sample provides the most sensitive, high-resolution multi-filter imaging of reliably identified z ∼ 3 LBGs for morphological studies of galaxy formation and evolution and the star formation efficiency of gas at high redshift.
Ca-NIDS: A network intrusion detection system using combinatorial algorithm approach

ABSTRACT A signature-based system (SBS) is a common approach for intrusion detection and the most preferable by researchers. In spite of the popularity of SBS, it cannot detect new attacks on the network compared to anomaly-based systems (ABS). The most challenging problem of SBS is keeping an up-to-date database of known attack signatures and the setting of a suitable threshold level for intrusion detection. In this article, a network intrusion detection system based on combinatorial algorithm (CA-NIDS) is proposed. The CA-NIDS uses additional databases to enable the SBS to act as an ABS for the purpose of detecting new attacks and to speed up network traffic during traffic analysis by the combinatorial algorithm. A suitable threshold of 12 was also set based on the study of past works to lower the false positive rate. The CA-NIDS was evaluated with similar online schemes and result shows a small false-positive rate of 3% and a better accuracy of 96.5% compared with related online algorithms.
PENGEMBANGAN BAHAN AJAR MATEMATIKA BERBASIS WEB DENGAN MENGGUNAKAN WORDPRESS

ABSTRACT Web-based math teaching materials using Wordpress is an alternative teaching materials used by teachers in the learning process to give the material as well as the collaboration of students and teachers Online. The development of research aims to develop a Web-based math teaching materials using Wordpress for appropriate and effective use in learning. The method used is the subject of research and development with SMA X Cirebon. The results showed that Web-based math teaching materials using Wordpress developed valid and effective to use for students of class X. Web-based math teaching materials using WordPress gets very worthy of an expert assessment of material by 96% . In the Web effectively used by students visits from classical completeness value at 97% with an average value of 80.833 and received good response from the students to the use of that site by 79%. Based on the results, it can be concluded that the developed site got a very decent ratings from experts and effectively used in learning by high school students X Cirebon. Keywords: Wordpresss, Teaching Material
Descriptive analytics: its power to test the applicability of cross-national scales in exploratory studies

Conventional methodology for validating measures in consumer research relies on structural equation modeling. But, this procedure requires a fairly large sample size and a clear conceptualization of the relationship between individual items and various scale dimensions. Neither of these requirements may be met in exploratory cross-national studies. Hence, this paper addresses scale validation issues in exploratory cross-national research, where sample size is a major concern. Specifically, it uses cross-national data on the vanity measure as an exemplar and a battery of descriptive analytics to show how to assess scaling assumptions, reliability, and dimensionality of consumer behavior measures. The scale validation procedure the authors describe in this paper has implications for researchers who use multi-item rating scales as measures of consumer behavior constructs.
Analytical Considerations for Transactional Cache Protocols

Since the early nineties transactional cache protocols have been intensively studied in the context of client-server database systems. Research has developed a variety of protocols and compared different aspects of their quality using simulation systems and applying semi-standardized benchmarks. Unfortunately none of the related publications substantiated their experimental findings by thorough analytical considerations. We try to close this gap at least partially by presenting comprensive and highly accurate analytical formulas for quality aspects of two important transactional cache protocols. We consider the non-adaptive variants of the ”Callback Read Protocol” (CBR) and the ”Optimistic Concurrency Control Protocol” (OCC). The paper studies their cache filling size and the number of messages they produce for the so-called UNIFORM workload. In many cases the cache filling size may considerably differ from a given maximum cache size – a phenomenon which has been overlooked by former publications. Moreover for OCC, we also give a highly accurate formula which forecasts the transaction abortion rate. All formulas are compared against corresponding simulation results in order to validate their correctness.
Content-based Design and Implementation of 3D Model Database and Retrieval System

Most of the current available content-based 3D model retrieval techniques mainly focus on feature extraction and similarity measurement,and seldom involve the proper design of 3D model databases.This paper presents a content-based design and creation of 3D model databases.Firstly,the paper proposes a novel 3D model database structure by introducing a classification hierarchy in the design of 3D model databases.On the basis of the proposed database design,a 3D model database management module,and a prototype system of content-based 3D model retrieval are implemented.The proposed database structure is capable of providing well-structured and rich information in 3D model databases,and facilitates the implementation of content-based 3D model retrieval system.
Multiscale Visualization of 3D Geovirtual Environments Using View-Dependent Multi-Perspective Views.

3D geovirtual environments (GeoVEs), such as virtual 3D city models or landscape models, are essential visualization tools for effectively communicating complex spatial information. In this paper, we discuss how these environments can be visualized using multi-perspective projections [10, 13] based on view-dependent global deformations. Multi-perspective projections enable 3D visualization similar to panoramic maps, increasing overview and information density in depictions of 3D GeoVEs. To make multi-perspective views an effective medium, they must adjust to the orientation of the virtual camera controlled by the user and constrained by the environment. Thus, changing multi-perspective camera conﬁgurations typically require the user to manually adapt the global deformation — an error prone, non-intuitive, and often time-consuming task. Our main contribution comprises a concept for the automatic and view-dependent interpolation of different global deformation preset conﬁgurations (Fig. 1). Applications and systems that implement such view-dependent global deformations, allow users to smoothly and steadily interact with and navigate through multi-perspective 3D GeoVEs.
Quasar: A Programming Framework for Rapid Prototyping

We present a new programming framework, Quasar, which facilitates GPU programming. Our high-level programming language relieves the developer of all implementation details such that he can focus on the algorithm and the required accuracy. The proposed programming framework consists of a simple high-level programming language, an advanced compiler system, a runtime system and IDE. The Quasar language is a high level scripting language with an easy to learn syntax similar to python and MATLAB. This makes Quasar well suited for fast development and prototyping. A Quasar program is first processed by a front-end compiler that automatically detects serial and parallel loops that could be accelerated by heterogeneous hardware. In a second compilation phase, a number of back-end compilers processes the output of the front-end compiler, thus generating C++, OpenCL or CUDA code. Based on the generated code the runtime system can dynamically switch between CPU and GPU. This automatic scheduling at runtime is done by analyzing the load of all devices, the memory transfer cost and the complexity of the task. This way, the programmer is relieved from complicated implementation issues that are common for programming heterogeneous hardware. We validated the use of Quasar on a number of complex image processing and computer vision algorithms. These programs range from denoising to automated image segmentation applications. Using Quasar we get speed-up factors of 4 to over 60, depending on the application. All results were achieved using an NVIDIA GeForce M750.
Intra and Inter Examiner Reliability Study for the Characteristics of Evaluation of the SA201

Introduction: There is no published account of the reliability of the percussion technology on human participants. Our goal was to measure the reliability of the instrument’s analysis protocol on an inert substance and on human participants with expert and novice evaluators. Method: 15 participants were evaluated by six evaluators, three experienced and three novices. Results: No participants were excluded from the analysis, based on the NDI, ODI and BMI. Even if the global result from the durometer testing were surprising in their range, the effect size score for the pre and post value on the durometer indicate very good reliability. Conclusion: The intra-evaluator reliability is very good when testing on the durometer but less predominant when evaluating the participant. In addition a novice chiropractor can use the instrument with a certain degree of ability that will develop over time if he uses this technology on a regular basis.
Towards an understanding of morphogenesis in metropolitan street-networks

We propose a GIS-based method to enable the understanding of how global street-network properties emerge from the temporal accumulation of individual street-network increments. The method entails the adoption of quantitative descriptions of individual street-patterns and of classification algorithms, in order to obtain numerically defined typomorphologies, which may then be statistically associated with the numerical outputs of street-network analysis. We apply the method to the case of Oporto Metropolitan Area, whose development we observed over 60 years. We isolate each increment of development entailing the creation of new streets (4208 objects), we quantify the morphology of their street-layouts, and we classify them into typomorphologies with clustering techniques. Through the investigation of the temporal and spatial frequencies of those typomorphologies, we assess their impacts on the street-networks of a set of selected civil-parishes of the metropolitan region, demonstrating that different typomorphological frequencies result in also different global street-network properties. We conclude by summarising the advantages of the method to generic urban morphological research and by suggesting that it may also contribute to inform bottom-up metropolitan spatial planning.
LICS - Language for Implementation of Control Systems

This report describes a language and an interactive environment, called LICS, for implementation of control systems and dynamic modelling. It used graphics for representation of the structural properties: hierarchical decomposition, interconnection structure, and structure of the interfaces. The decomposition and interconnection structures are described by block diagrams. Low level modules are described by equations. Much effort has been devoted to the design of an integrated language both for analog control and logic control. It resulted in powerful module and interconnection concepts that make it possible to develop libraries of modules for different applications. The user can build systems from such libraries without having to deal with details of their implementation. Documentation can be obtained at different levels of detail. The system is designed with modern graphical scientific personal computers in mind. Joysticks and mouse are used for continuous scroll, pan and zoom of the picture in real-time. A concept of information zooming is introduced. When, for example, zooming in on a module, it changes to a more detailed representation showing the internal structure. This work has been a part of the Program in Information Processing and Computer Science (Ramprogrammet i Informationsbehandling) which was initiated and sponsored by the National Swedish Board for Technical Development. (Less)
Designing a Ubiquitous Audio-Based Memory Aid

The ephemeral nature of sound can be problematic when people cannot recall something they heard. Motivated by everyday conversational breakdowns, a continuous, near-term audio buffering application named the Personal Audio Loop was designed to recover audio content from the recent past using the mobile phone platform. The investigation of the potential usefulness in everyday life, the level of ubiquity and usability required of the service, and the social and legal considerations for long-term adoption is presented. The methods used include a controlled laboratory study, in-situ diary and event-contingent experience sampling studies, examination of legislation, and deployment of the technology over several weeks.
A research in cartographic labeling to predict the suitable amount of labeling in multi- resolution maps.

There have been several works and efforts towards making the best computerized map generalization. An important part of the generalization process, axiomatically, for a map is to understand its components. Furthermore, since the labels are one of the main components of the map through labeling the user can understand the map a lot easier and more accurateseveral works for that purpose were done (Zoraster, 1997; Zhang and Harrie, 2006; Stadler, et al, 2006; Brewer, et al, 2013 .etc). These works witness a lot of unnecessary data lost, and focus mostly on point labeling, therefore they are not dealing with real time mapping and focus more on a static hardcopy map production. Most of the previous works were focusing on the legibility problems discussed on the cartographic generalization process (amalgamation, displacement, etc.) alone, while our work address more than that ordinary processes. The study focuses more on the online multiresolution map products, also on the significant of the displayed feature at every level of detail, and the amount of displayed labels in every level of detail. Since the multi-resolution map user will be concerned in extracting the most required information from the map, their needs should differ in every level of detail, moreover, the road types which is going to be presented at that certain zoom level should be considered, also trying to make the amount of the displayed data sufficient enough without any shortage or excessive.