Miracle-dz/UniFAR-FTUs huggingface dataset:
Analyzing F 0 Discontinuity for Speech Prosody Enhancement

This research is interested in assessing the pros and contras of using an overall continuous versus a disrupted, not overall defined F0 estimate and compare formal and informal speech styles in this regard. During the evaluation we keep in mind the elaboration of an algorithm capable of handling both speaking styles. The approaches are evaluated in an automatic phonological phrasing task, using a formal and informal speech corpus. A phonological phrasing component is a prosodic unit that has its own stress and intonation contour, which may continue in the next unit. For the different speaking styles we use two speech databases: BABEL for formal speaking style and The Hungarian Spoken Language Database for informal speaking style, both in Hungarian language. Three alternatives of F0 post-processing are compared, ranging from a natural F0 contour disrupted at unvoiced places, over a partial interpolation to an overall continuous contour estimation defined for all unvoiced speech segments. Whereas in formal speech, the more continuous the F0 contour is the better detection rates are observed for phonological phrases, for informal speech a partial interpolation of F0, preserving some fragmentation, yields better results. These results also show that discontinuity of F0 can be an important cue in human perception of informal speech, and also means that the idea of trying to de-spontanize spontaneous speech, in order to be able to treat them in the conventional way, seems to be doubtful.
Virtual Classes as an Innovative Tool for Conference Interpreter Training

Virtual Classes (VCs) make up a pedagogical tool taking advantage of the idea of remote interpreting and videoconferencing for simulations of interpreting. At present, the Institute of Applied Linguistics, University of Warsaw, is the only interpreter training center in Poland to offer such a blended learning model. The aim of this paper is to present the findings of a longitudinal study based on observations of various stages of VCs in which both the trainers and trainees have been involved. The material for the study consists of the author’s field notes from observations, including the trainers’ and trainees’ opinions, as well as written documents in the form of draft scripts prepared for each VC. The results of the study show that VCs make up an effective component of a blended learning model. Although they cannot replace face-to-face training, they provide both professional and pedagogical opportunities for the trainees. Furthermore, VCs are associated with organizational, technical, and pedagogical effort on the part of the trainers. In general, an overwhelming need for development of this component as contributing to innovative interpreter training should be underlined, as well as for further research in the field.
Inhibiting E ff ects of Vegetation on the Characteristics of Runo ff and Sediment Yield on Riparian Slope along the Lower Yellow River

Riparian vegetation plays a vital role in soil and water conservation and river health maintenance. However, its inhibiting effects on water and soil loss are limited by different factors, such as slope gradient, vegetation coverage and their interaction. Therefore, this study quantified the inhibiting effect of riparian vegetation on the runoff, sediment and hydraulic characteristics of overland flow, and assessed its relative contribution to slope gradient. Specifically, we selected a riparian slope along the lower Yellow River as a case, and used a field-simulated rainfall experiment under specific rainfall intensity (90 mm/h), different vegetation coverage (0%, 15% and 30%) and slope gradients (5◦, 10◦, 15◦ and 20◦). The results showed that the presence of vegetation can reduce the slope runoff rate and erosion rate. However, greater slope gradients can result in a lowering of the inhibiting effects of riparian vegetation on sediment yield. There was a critical value of vegetation coverage for inhibiting eroded sediments which was influenced by the degree of slope gradient. At 15% vegetation coverage, vegetation inhibited the slope sediment yield greatly at a slope gradient of less than 8◦; while at 30% vegetation coverage, vegetation greatly inhibited the slope sediment yield at slope gradients <11◦. Hydraulic characteristics were closely related to the slope gradient and vegetation coverage by the power function. Grey correlation analysis revealed that, with increasing of vegetation coverage, the effect of stream power on slope sediment yield decreased, while the effect of the friction coefficient on slope sediment yield increased. In summary, riparian vegetation can effectively inhibit slope runoff and sediment yield, but its inhibiting effect is notably affected by slope gradient.
Upper Cretaceous Palynology of the Campos-01 Well, Northern Campos Basin: Paleoenvironmental Inferences

A detailed palynological analysis was conducted on 29 samples obtained from the Cretaceous interval of the well Campos- 01, drilled in the Northern portion of the offshore Campos Basin. The main objectives of this study were to precise the age the rocks and to perform an analysis and interpretation of the depositional environment of the interval. The material consists of mainly shales, marls, calcareous mudstones and sandstones deposited in a deep marine environment. The palynological analysis consisted on identification and counting of all palynomorphs. The paleoenvironmental and paleoecological investigations were supported by cluster analysis, ecological indices (e.g. diversity, dominance) and ratios (e.g. continental:marine) were used. A total of 97 taxa was identified, which included 46 genera of dinoflagellates cysts, 25 genera of spores, 21 genera of pollen grains, 2 genera of freshwater algae and microforaminiferal linings. The recorded assemblage (e.g. Trichodinium castanea, Dinogymnium acuminatum, Zlivisporis blanensis) was assigned to a late Campanian—late Maastrichtian age for the studied section. The interval is clearly dominated by the dinoflagellate cysts that reach 90.7% of total of palynomorphs. On the basis of cluster analysis (r-mode) three dinoflagellate associations were recognized: Systematophora, Areoligera and Spiniferites. The stratigraphic distribution of dinoflagellates associations indicates three intervals (I1-I3). The intervals I1 and I2, dominated by Systematophora and Spiniferites respectively, are interpreted as open marine environment. In the interval I3, the dominance of Areoligera Association indicates a nearshore environment, also supported by the large amount of continental elements, including the genus Callialasporites, which is attributed to high altitude flora, suggesting the presence of highland feeding areas.
PENGENALAN POLA HURUF HIJAIYAH KHAT KUFI DENGAN METODE DETEKSI TEPI SOBEL BERBASIS JARINGAN SYARAF TIRUAN BACKPROPAGATION

ABSTRAK Khat kufi memiliki bentuk huruf hijaiyah yang unik berbentuk kotak. Banyak penelitian yang membahas pengenalan huruf hijaiyah namun untuk spesifik khat belum ada. Pada penelitian ini penulis melakukan simulasi pengenalan pola huruf hijaiyah khat kufi menggunakan deteksi tepi sobel dan jaringan syaraf tiruan backpropagation dengan menggunakan parameter uji learning rate dan epoch . Simulasi dilakukan 28 target huruf hijaiyah dengan learning rate 0.01, 0.05, 0.1, 0.5, dan epoch 25, 1000, 3000, 5000, 10000. Akurasi terbaik didapatkan pada learning rate 0.01 dan epoch 10000 yaitu 100%. Penelitian ini dapat dikembangkan menggunakan deteksi tepi canny, prewitt, atau robert serta JST LVQ, ADALINE, atau RBF . ABSTRACT Khat kufi has a unique hijaiyah shape that is square in shape. Much of the research that discusses the introduction of the hijaiyah letters but for the specifics khat does not yet exist. In this study, the author performs a simulation of hijaiyah khat kufi pattern recognition using sobel edge detection and artificial neural network backpropagation using learning rate test and epoch parameters. The simulation has been done on 28 target letters hijaiyah with learning rate 0.01, 0.05, 0.1, 0.5, and epoch 25, 1000, 3000, 5000, 10000. The best accuracy obtained at learning rate 0.01 and epoch 10000 is 100%. This research can be developed using canny edge detection, prewitt, or robert and also JST LVQ, ADALINE, or RBF. How To Cite : Faturrahman, I. Arini. Mintarsih, F. (2018). PENGENALAN POLA HURUF HIJAIYAH KHAT KUFI DENGAN METODE DETEKSI TEPI SOBEL BERBASIS JARINGAN SYARAF TIRUAN BACKPROPAGATION. Jurnal Teknik Informatika, 11(1), 37-46. doi 10.15408/jti.v11i1. 6262 Permalink/DOI: http://dx.doi. org/10.15408/jti.v11i1. 6262
P o S ( I S G C 2 0 1 2 ) 0 3 8 Towards a New Execution Model for HPC Clouds

The application of emergent Clouds to the domain of high perf ormance computing is considered by examining the various operational modalities comprisin g the field of supercomputing and by analyzing their suitability to Clouds based on underlying f actors of performance degradation. It is found that while throughput computing may be readily supp orted for such HPC workflows as parameter sweeps, capability computing and even weak scale d “cooperative” computing may not be well served using conventional practices. But the possib le advance of revolutionary methods to manage asynchrony, exploit message-driven computing te chniques and declarative synchronization semantic constructs such as found in the experimen tal ParalleX execution model may provide an alternative paradigm for bringing Clouds more cl ose y aligned to Science, Technology, Engineering, and Mathematics (STEM) applications. Experi m ntal results capturing an Adaptive Mesh Refinement (AMR) application in numerical relativity u sing the ParalleX-based HPX-3 runtime system demonstrates many of the required propertie s for HPC Clouds.
Chapter 2 Accelerating Data Analytics Kernels with Heterogeneous Computing

The past decade has witnessed an unprecedented and exponential growth in the amount of data being produced, stored, transported, processed, and displayed. The journey of zettabyte of data from the myriad of end-user devices in the form of PCs, tablets, smart phones through the ubiquitous wired/wireless communication infrastructure to the enormous data centers forms the backbone of computing today. Efficient processing of this huge amount of data is of paramount importance. The underlying computing platform architecture plays a critical role in enabling efficient data analytics solutions. Computing systems made an irreversible transition towards multi-core architectures in early 2000. As of now, homogeneous multi-cores are prevalent in all computing systems starting from smart phones to PCs to enterprise servers. Unfortunately, homogeneous multi-cores cannot provide the desired performance and energy-efficiency for diverse application domains. A promising alternative design is heterogeneous multi-core architecture where cores with different functional characteristics (CPU, GPU, FPGA, etc.) and/or performance-energy characteristics (simple versus complex micro-architecture) co-exist on the same die or in the same
A COMPARATIVE STIFNESS ANALYSIS OF A RECONFIGURABLE PARALLEL MACHINE WITH THREE OR FOUR DEGREES OF MOBILITY

Stiffness performance is a very important aspect to be considered in the design of parallel machines. This article presents a comparative stiffness analysis based on numerical simulation for a reconfigurable parallel machine to 3 or 4 degrees of mobility (D.O.M.). The two configurations have decoupled motions and are isotropic in translation. This paper focuses on stiffness analysis of the both configurations. Stiffness matrix establishes the relation between elastic displacements (translation and rotation) of the moving-platform and loading (forces and torques) at a characteristic point. Numerical simulation gives stiffness maps in different positions of the workspace and allows us to set up critical stiffness positions. In a second stage the flexibility matrix is partitioned into four sub-matrices relating translations-forces, angles-forces, translations-torques, angles-torques. Their eigenvalues and eigenvectors are calculated. The eigenvalues give the extremal stiffness. The eigenvectors give the principal axes where a load gives a pure elastic displacement in the same direction. Finally, a stiffness comparison is performed between the two configurations. Conclusions are set up on stiffness and accuracy as well.
New Horizons for Grapevine Breeding

The introduction of fungi – particularly powdery and downy mildew – and of phylloxera during the second half of the 19 century was the catalyst to initiate enormous grapevine breeding activities in several European countries. These efforts aimed at the combination of resistance traits found e.g. in American Vitis species and quality traits found in the cultivated Vitis vinifera L. subsp. vinifera. It became evident that grapevine breeding is a huge challenge due to the complexity of traits and long breeding cycles of about 25 years. Despite some major drawbacks, at the onset of the 20 century rootstocks became available solving the phylloxera crisis. In contrast to the progress in rootstock breeding for some decades, it was believed that the aim for scions of combining resistance against the mildew diseases and quality can not be achieved. By the end of the 20 century, however, first cultivars were introduced into the market showing high wine quality and good field resistance against powdery and downy mildew. Simultaneously new technologies were developed to genetically dissect traits e.g. by QTL analysis and molecular markers were introduced into breeding research. Genetic fingerprints characterizing cross parents, marker assisted selection, and marker assisted backcrossing recently initated a paradigm shift in grapevine breeding from a purely empirical work to the strictly goal-oriented design of crosses and of gene management. These new tools and next generation sequencing technologies will reduce the breeding cycle by up to 10 years. In addition, genetic engineering opens the door to improve existing cultivars, for which otherwise any improvement of resistance is utterly impossible. _____________________________________________________________________________________________________________
FROM MODEL SYSTEMS A Model of Elegance

Since Sidney Brenner wrote this statement in a visionary research proposal addressed to Max Perutz 35 years ago (Wood 1988, p. xiii), an enormous amount of information has been gathered on the biology of the nematode Caenorhabditis elegans (“the worm”), both fulfilling his predictions and exceeding his original expectations. Researchers have identified every cell in the worm and have described all the lineages by which these cells are formed (Horvitz and Sulston 1980; Sulston et al. 1983; Wood 1988). Adult hermaphrodites contain 959 somatic nuclei, which are organized into differentiated tissue types such as muscle, intestine, epidermis, and nervous system. The latter is composed of 302 neurons that are connected by ∼7,500 synaptic junctions (Wood 1988). The function of many individual cells has been inferred from ablation experiments using laserbeam technology (e.g., see Bargmann and Avery 1995). Genes involved in development and behavior have been identified through the analysis of mutations that affect these functions. The number of genes identified genetically has increased from the original 103 described by Brenner (1974) to the ∼1,600 complementation groups known at present (Hodgkin 1997). A comprehensive genetic map has been compiled and continues to expand. A detailed physical map of overlapping cosmids and YACs covers the genome almost entirely (Coulson et al. 1995). Finally, the genome sequence is expected to be completed by the end of this year (Hodgkin et al. 1995). The availability of the complete C. elegans genome sequence will not only benefit worm researchers but will also undoubtedly be useful for the elucidation of human gene function. Thus, in addition to providing funda-
Ethno-Medical Uses of Plants in the Treatment of Various Skin Diseases in Ovia North East , Edo State , Nigeria

This study was investigated in 9 rural communities in Ovia North East Local Government Area of Edo State. The investigation included names and plant parts used , ailments cured, preparation and administration of these herbs. Facts were obtained with the aid of well structured questionnaires and interviews of old and experienced rural people as well as herbalists. The use of traditional medicine was observed to be widespread and prevalent in most area studied over orthodox medicines. An inventory of 41 plant species from 29 families for which 13 were trees, 11 shrubs and 17 herbaceous plants were observed, an indication of high plant biodiversity. There were 57 medicinal plant uses out of which leaves, stem bark, seeds/roots, fruits, flowers/buds were used in 35, 10, 7, 3 and 2 cases respectively. The findings are documented.
Can semantic theories be tested experimentally ? The case of aspectual coercion ∗

This paper reflects upon the relation between semantic/prag matic theory and psycholinguistic experiments within the realm of aspectua l coercion. What predictions can be derived from standard and not so standard the ories for incremental aspectual interpretation? We contrast operator-based nd underspecification accounts of aspectual coercion with the Event Calculus of Ha mm & van Lambalgen (2005), a pragmatic theory of tense and aspect, which proposes a classification of coercion into different types. We present the res ults of an ERP study on one particular kind of coercion (adding an eventuality = “ additive coercion”) showing that aspectual coercion is not necessarily trigger ed by an aspectual mismatch. We will then present a self-paced reading experiment on contextual influences in additive coercion which suggests that aspectual pr ocessing immediately takes into account the larger discourse context. Taken toge ther, the first two experiments provide clear evidence against a semantic operat or-b sed account but indicate that aspectual coercion heavily relies on pragmat ic inference. Two further self-paced reading experiments compared different su btypes of aspectual coercion with each other (deletion of an eventuality = “subt ractive coercion” and ∗I would like to thank the audiences of the TRAIT workshop How categorical are categories? in Wroclaw 2013 and an invited talk at the German department in C ologne 2013 for their comments on the work presented in this paper. I would also like to thank Jo hannes Dölling, Fritz Hamm, Janina Radó, Edith Scheifele, Matthias Schlesewsky and two anonymous re view rs for valuable comments on the research reported in this paper. The usual disclaimers appl y, any remaining errors are mine. The research was funded by the German Science Foundation within projects C1 and B1 in the Collaborative Research Centers 441 and 833 at the University of Tübingen.
Integration of Large-Scale Data Processing Systems and Traditional Parallel Database Technology

In 2009 we explored the feasibility of building a hybrid SQL data analysis system that takes the best features from two competing technologies: large-scale data processing systems (such as Google MapReduce and Apache Hadoop) and parallel database management systems (such as Greenplum and Vertica). We built a prototype, HadoopDB, and demonstrated that it can deliver the high SQL query performance and eﬃciency of parallel database management systems while still providing the scalability, fault tolerance, and ﬂex-ibility of large-scale data processing systems. Subsequently, HadoopDB grew into a commercial product, Hadapt, whose technology was eventually acquired by Teradata. In this paper, we provide an overview of HadoopDB’s original design, and its evolution during the subsequent ten years of research and development eﬀort. We describe how the project inno-vated both in the research lab, and as a commercial product at Hadapt and Teradata. We then discuss the current vibrant ecosystem of software projects (most of which are open source) that continued HadoopDB’s legacy of implementing a systems level integration of large-scale data processing systems and parallel database technology.
Study on the Effects of Government Fixed Asset Investment to Economic Growth in China : Based on a Co-Integration Model

China has achieved economic boom in the past 30 years, which was believed to be closely related to the central government’s ability to regulate the entire economy. The aim of this paper is to examine the above conjecture by statistically evaluate whether and to what extent has the mostly used countermeasures by the Chinese government to regulate the economy—investment in fixed asset—achieved its fundamental goals of promoting sustained economic growth. Using a co-integration model, this paper proved that a 1% increase in government fiscal expenditure on fixed assets can cause a 0.68% increase in gross domestic product in the long run, anda subsequent error-correction model have demonstrated the short run impetus of fixed asset investment on economic growth is 0.058%. Based on our study, investment in fixed assets was the key factor in promoting economic growth in recent decades of China, which demonstrated its effectiveness as an instrument for economic regulation and control. We believe our work can prove the necessity of moderate governmental interventions on economic development thus providing implications for policy makers. _________________________________________________________________________________________
Micro- and Macro-Drivers of Child Deprivation in 31 European Countries

This paper analyses child deprivation in 31 European countries, using the scale officially adopted in March 2018 to measure child-specific deprivation at EU level. It combines single level and multilevel models to get a full picture of child deprivation drivers in EU countries. With regard to within-country differences, our results confirm the combined impact of variables related to the “longer-term command over resources” and variables indicating “household needs”. However, our results also show that the relationship of these variables with child deprivation differs between countries. In the richest countries, the explanatory power of the variables related to household needs is the largest, whereas in the most deprived countries, the explanatory power of resource variables is generally greater. With regard to between-country differences, the specification of the model needs careful consideration. We argue that multilevel models should include household income at the micro level, if the aim is to fully gauge the impact of households’ “longer-term command over resources” at the micro level. The multilevel model then assesses how much country-level features that are not reflected in household income and other individual characteristics at the micro level contribute to explaining differences across countries in deprivation. We find that public spending on in-kind social benefits is significant in this respect. Public spending on cash transfers plays only a limited role, when household incomes at the micro level are included; they play a significant role when household income is excluded. This does not diminish the importance of cash transfers in fighting child deprivation, but it qualifies the conclusions of papers which have analysed the relationship of social transfers on deprivation, using multilevel models but without controlling for individual household income. Finally, we find a significant relationship of GDP per capita, even when individual household incomes are included. This is not self-evident: it shows that GDP per capita is a proxy for important contextual variables which are not reflected in individual incomes and other individual characteristics.