Phonological Mean Length of Utterance as an indicator of typical and impaired phonological development in children acquiring Finnish

The aim of this study was to examine the applicability of the Phonological Mean Length of Utterance (pMLU) method to the data of children acquiring Finnish, for both typically developing children and children with a Specific Language Impairment (SLI). Study I examined typically developing children at the end of the one-word stage (N=17, mean age 1;8), and Study II analysed children s (N=5) productions in a follow-up study with four assessment points (ages 2;0, 2;6, 3;0, 3;6). Study III was carried out in the form of a review article that examined recent research on the phonological development of children acquiring Finnish and compared the results with general trends and cross-linguistic findings in phonological development. Study IV included children with SLI (N=4, mean age 4;10) and age-matched peers. The analyses in Studies I, II and IV were made using the quantitative pMLU method. In the pMLU method, pMLU values are counted for both the words that the children targeted (so-called target words) and the words produced by the children. When the child s average pMLU value was divided with the average target word pMLU value, it is possible to examine that child s accuracy in producing the words with the Whole-Word Proximity (PWP) value. In addition, the number of entirely correctly produced words is counted to obtain the Whole-Word Correctness (PWC) value. Qualitative analyses were carried out in order to examine how the children s phoneme inventories and deficiencies in phonotactics would explain the observed pMLU, PWP and PWC values. The results showed that the pMLU values for children acquiring Finnish were relatively high already at the end of the one-word stage (Study I). The values were found to reflect the characteristics of the ambient language. Typological features that lead to cross-linguistic differences in pMLU values were also observed in the review article (Study III), which noted that in the course of phonological acquisition there are a large number of language-specific phenomena and processes. Study II indicated that overall the children s phonological development during the follow-up period was reflected in the pMLU, PWP and PWC values, although the method showed limitations in detecting qualitative differences between the children. Correct vowels were not scored in the pMLU counts, which led to some misleadingly high pMLU and PWP results: vowel errors were only reflected in the PWC values. Typically developing children in Study II reached the highest possible pMLU results already around age 3;6. At the same time, the differences between the children with SLI and age-matched peers in the pMLU values were very prominent (Study IV). The values for the children with SLI were similar to the ones reported for two-year-old children. Qualitative analyses revealed that the phonologies of the children with SLI largely resembled the ones of younger, typically developing children. However, unusual errors were also witnessed (e.g., vowel errors, omissions of word-initial stops, consonants added to the initial position in words beginning with a vowel). This dissertation provides an application of a new tool for quantitative phonological assessment and analysis in children acquiring Finnish. The preliminary results suggest that, with some modifications, the pMLU method can be used to assess children s phonological development and that it has some advantages compared to the earlier, segment-oriented approaches. Qualitative analyses complemented the pMLU s observations on the children s phonologies. More research is needed in order to verify the levels of the pMLU, PWP and PWC values in children acquiring Finnish.

Una gramática descriptiva del chabacano de Ternate

This dissertation is a descriptive grammar of Ternate Chabacano, a Spanish-lexifier Creole spoken by 3.000 people in the town of Ternate, Philippines. The dissertation offers an analysis of the phonological, morphological, and syntactic system of the language. It includes an overview of the historical background, the current situation of the speech community and a collection of annotated texts. Ternate Chabacano shares many characteristics with its main adstrate language Tagalog as well as the dialectal varieties of Spanish. At present, English also exerts an influence, nevertheless mainly affecting its lexicon. The description offered is based on fieldwork conducted in Ternate. Spoken language collected through thematic interviews forms the main type of the material analysed. Information regarding the informants and text types is included in the examples. Ternate Chabacano has a five-vowel system and 17 consonant phonemes. The morphology of the language is largely isolating. Clitics are used extensively for expressing adverbial relations. The verbal system is based on the preverbal markers that express the category of tense, modality and aspect, among which aspect is the main dimension. Complex predicates and verbal chains are used in order to further distinguish aspect and modality, as well as changes of voice and valency. Intransitive verbs express motion, states, and reflexive actions, even though the majority of verbs can occur in both intransitive and transitive clauses. Ternate Chabacano is a nominative-accusative type language but the typological configuration of the Philippine languages influences the marking of its constituents. A case in point is constituted by the nominal determination system. The basic constituent order in a clause is VSO. Equative and attibutive clauses are formed by juxtaposition while the locative clauses feature a copula. Indefinite terms are expressed through existential constructions. The negation of existential clauses differs from standard negation but both are intensified in the same way. In spoken discourse, tag-questions are common. Pragmatic elements and social formulas reflect largely the corresponding Tagalog expressions. Coordination and subordination occur typically without overt markers but a variety of markers exists for expressing different relations, especially those made explicit by adverbial clauses. Verbal chains form a continuum from serial verbs to complementation and ultimately to coordination.

Kielellinen erityisvaikeus : oirekuva ja familiaalisuus potilasasiakirjojen perusteella

Goals. Specific language impairment (SLI) has a negative impact on child s speech and language development and interaction. Disorder may be associated with a wide range of comorbid problems. In clinical speech therapy it is important to see the child as a whole so that the rehabilitation can be targeted properly. The aim of this study was to describe the linguistic-cognitive and comorbid symptoms of children with SLI at the age of five, as well as to provide an overwiew of the developmental disorders in the families. The study is part of a larger research project, which will examine paths of development and quality of life of children with SLI as young adults. Methods. The data consisted of patient documents of 100 5-year old children, who were examined in Lastenlinna mainly at 1998. Majority of the subjects were boys, and children s primary diagnosis was either F80.1 or F80.2, which was most common, or both. The diagnosis and the information about the linguistic-cognitive status and comorbid symptoms were collected from reports of medical doctors and experts of other fields, as well as mentions related to familiality. Linguistic-cognitive symptoms were divided into subclasses of speech motor functions, prosessing of language, comprehension of language and use of language. Comorbid symptoms were divided into subclasses of interaction, activity and attention, emotional and behavior problems and neurologic problems. Statistical analyses were based mainly on Pearson s Chi Square test. Results and conclusions. Problems in language processing and speech motor functions were most common of the linguistic-cognitive symptoms. Most of the children had symptoms from two or three symptom classes, and it seemed that girls had more symptoms than boys. Usually children did not have any comorbid symptoms, or had them from one or three symptom classes. Of the comorbid symptoms the most prevalent ones were problems in activity and attention and neurological symptoms, which consisted mostly of motoric and visuomotoric symptoms. The most common of the comorbid diagnoses was F82, specific developmental disorder of motor function. According to literature children with SLI may have problems in mental health, but the results of this study did not confirm that. Children with diagnosis F80.2 had more linguistic-cognitive and comorbid symptoms than children with diagnosis F80.1. The cluster analyses based on all the symtoms revealed four subgroups of the subjects. Of the subjects 85 percent had a positive family history of developmental disorders, and the most prevalent problem in the families was delayed speech development. This study outlined the symptom profile of children with SLI and laid a foundation for the future longitudinal study. The results suggested that there are differences between linguistic-cognitive symptoms of boys and girls, which is important to notice especially when assessing and diagnosing children with SLI.

Tiling stencil computations to maximize parallelism

Most stencil computations allow tile-wise concurrent start, i.e., there always exists a face of the iteration space and a set of tiling hyperplanes such that all tiles along that face can be started concurrently. This provides load balance and maximizes parallelism. However, existing automatic tiling frameworks often choose hyperplanes that lead to pipelined start-up and load imbalance. We address this issue with a new tiling technique that ensures concurrent start-up as well as perfect load-balance whenever possible. We first provide necessary and sufficient conditions on tiling hyperplanes to enable concurrent start for programs with affine data accesses. We then provide an approach to find such hyperplanes. Experimental evaluation on a 12-core Intel Westmere shows that our code is able to outperform a tuned domain-specific stencil code generator by 4% to 27%, and previous compiler techniques by a factor of 2x to 10.14x.

Probabilistic graphical models for semi-supervised traffic classification

Traffic classification using machine learning continues to be an active research area. The majority of work in this area uses off-the-shelf machine learning tools and treats them as black-box classifiers. This approach turns all the modelling complexity into a feature selection problem. In this paper, we build a problem-specific solution to the traffic classification problem by designing a custom probabilistic graphical model. Graphical models are a modular framework to design classifiers which incorporate domain-specific knowledge. More specifically, our solution introduces semi-supervised learning which means we learn from both labelled and unlabelled traffic flows. We show that our solution performs competitively compared to previous approaches while using less data and simpler features. Copyright © 2010 ACM.

Origen y evolución de la relación entre periodistas y militares en operaciones. El sistema de empotrados Irak 2003

344 p.

Kontrol esparruan ikasketa eta garapenerako oinarrizko ingurune praktiko, ireki eta askea

Embedded system design (VHDL description) based on Xilinx's Spartan3E Development Kit to perform real-time PID control and monitoring of DC motors.

Arduino bidez trafikoa kontrolatzeko sistema baten diseinua eta garapena

In this project, a system to detect and control traffic through Arduino has been designed and developed. The system has been divided in three parts. On the one hand, we have a software simulator which have been designed and developed to manage the traffic from a computer. The simulator is written in the Java Language and it is able to control four different types of crossroads, offering several options to the user for each one of them. On the other hand, with relation to the hardware, an Arduino board to make a scale model of one of the crossroads that controls the application has been used. This Arduino receives and processes the messages sent from the computer, next it shows the traffic light of the scale model in the same way that are seen in the simulator. And finally, to detect the traffic by the system, it has also been designed and developed a traffic sensor using another Arduino. To communicate the simulator in the computer and the Arduino which has been used to control the hardware of the scale model, and share information among them, the serial communication of each one of them has been used. Once completely developed each part of the system, several tests have been made to validate the correctness of both, software and hardware.

Self-reported sitting time and physical activity: interactive associations with mental well-being and productivity in office employees

Background: Little is known about how sitting time, alone or in combination with markers of physical activity (PA), influences mental well-being and work productivity. Given the need to develop workplace PA interventions that target employees' health related efficiency outcomes; this study examined the associations between self-reported sitting time, PA, mental well-being and work productivity in office employees. Methods: Descriptive cross-sectional study. Spanish university office employees (n = 557) completed a survey measuring socio-demographics, total and domain specific (work and travel) self-reported sitting time, PA (International Physical Activity Questionnaire short version), mental well-being (Warwick-Edinburg Mental Well-Being Scale) and work productivity (Work Limitations Questionnaire). Multivariate linear regression analyses determined associations between the main variables adjusted for gender, age, body mass index and occupation. PA levels (low, moderate and high) were introduced into the model to examine interactive associations. Results: Higher volumes of PA were related to higher mental well-being, work productivity and spending less time sitting at work, throughout the working day and travelling during the week, including the weekends (p < 0.05). Greater levels of sitting during weekends was associated with lower mental well-being (p < 0.05). Similarly, more sitting while travelling at weekends was linked to lower work productivity (p < 0.05). In highly active employees, higher sitting times on work days and occupational sitting were associated with decreased mental well-being (p < 0.05). Higher sitting times while travelling on weekend days was also linked to lower work productivity in the highly active (p < 0.05). No significant associations were observed in low active employees. Conclusions: Employees' PA levels exerts different influences on the associations between sitting time, mental well-being and work productivity. The specific associations and the broad sweep of evidence in the current study suggest that workplace PA strategies to improve the mental well-being and productivity of all employees should focus on reducing sitting time alongside efforts to increase PA.

Multilinear function factorisation for time series feature extraction

This work applies a variety of multilinear function factorisation techniques to extract appropriate features or attributes from high dimensional multivariate time series for classification. Recently, a great deal of work has centred around designing time series classifiers using more and more complex feature extraction and machine learning schemes. This paper argues that complex learners and domain specific feature extraction schemes of this type are not necessarily needed for time series classification, as excellent classification results can be obtained by simply applying a number of existing matrix factorisation or linear projection techniques, which are simple and computationally inexpensive. We highlight this using a geometric separability measure and classification accuracies obtained though experiments on four different high dimensional multivariate time series datasets. © 2013 IEEE.

on string languages generated by spiking neural p systems

We continue the study of spiking neural P systems by considering these computing devices as binary string generators: the set of spike trains of halting computations of a given system constitutes the language generated by that system. Although the "direct" generative capacity of spiking neural P systems is rather restricted (some very simple languages cannot be generated in this framework), regular languages are inverse-morphic images of languages of finite spiking neural P systems, and recursively enumerable languages are projections of inverse-morphic images of languages generated by spiking neural P systems.

一种用户主导的面向领域应用软件开发新方法

提出一种应用软件开发的新方法 ,称为“用户工程”.这是一种基于构件化软件系统结构的用户主导的面向领域的应用软件开发方法 ,强调用户在应用软件开发中的主导作用 ,试图将应用软件的开发过程变成用户详细定义过程 ,而不仅仅是传统的编程过程 .它为越来越多的应用软件开发需求提供了可能有效的一个途径

A shortest path algorithm for moving objects in spatial network databases

One of the most important kinds of queries in Spatial Network Databases (SNDB) to support location-based services (LBS) is the shortest path query. Given an object in a network, e.g. a location of a car on a road network, and a set of objects of interests, e.g. hotels,gas station, and car, the shortest path query returns the shortest path from the query object to interested objects. The studies of shortest path query have two kinds of ways, online processing and preprocessing. The studies of preprocessing suppose that the interest objects are static. This paper proposes a shortest path algorithm with a set of index structures to support the situation of moving objects. This algorithm can transform a dynamic problem to a static problem. In this paper we focus on road networks. However, our algorithms do not use any domain specific information, and therefore can be applied to any network. This algorithm’s complexity is O(klog2 i), and traditional Dijkstra’s complexity is O((i + k)2).

用户主导的面向领域的需求分析方法

如何认识和了解用户并最终让用户在适当的工具和环境的帮助引导下直接参与到需求分析活动中，可能正是解决软件生产过程中一系列问题的突破口。用户可视为对象、角色或智能体，充分发挥其能动性，对于软件需求的正确性、一致性和完整性大有裨益；同时，把软件专业人员从繁琐的需求分析活动中解放出来，可大大缩短软件的开发周期。

同步数据流模型调度序列的空间优化

提出了一种嵌入式DSP系统的存储优化方法。该方法基于同步数据流模型SDF(Synchronous Data Flow)。针对其他优化算法不适用于存在反馈环的同步数据流模型的问题,该方法为反馈环的空间优化设计实现了启发式的调度算法,并提出了将SAS(Single Appearance Schedules)和Non-SAS类型调度序列相结合的层次化的空间优化方案,为同步数据流模型调度序列的空间优化提供一个通用的解决方案。实验结果证实了该方案的有效性。