A hybrid planning method for transmission networks in a deregulated environment

The reconstruction of power industries has brought fundamental changes to both power system operation and planning. This paper presents a new planning method using multi-objective optimization (MOOP) technique, as well as human knowledge, to expand the transmission network in open access schemes. The method starts with a candidate pool of feasible expansion plans. Consequent selection of the best candidates is carried out through a MOOP approach, of which multiple objectives are tackled simultaneously, aiming at integrating the market operation and planning as one unified process in context of deregulated system. Human knowledge has been applied in both stages to ensure the selection with practical engineering and management concerns. The expansion plan from MOOP is assessed by reliability criteria before it is finalized. The proposed method has been tested with the IEEE 14-bus system and relevant analyses and discussions have been presented.

Visuospatial processing and the function of prefrontal-parietal networks in autism spectrum disorders: a functional MRI study

Objective: Individuals with autism spectrum disorders typically have normal visuospatial abilities but impaired executive functioning, particularly in abilities related to working memory and attention. The aim of this study was to elucidate the functioning of frontoparietal networks underlying spatial working memory processes during mental rotation in persons with autism spectrum disorders. Method: Seven adolescent males with normal IQ with an autism spectrum disorder and nine age- and IQ-matched male comparison subjects underwent functional magnetic resonance imaging scans while performing a mental rotation task. Results: The autism spectrum disorders group showed less activation in lateral and medial premotor cortex, dorsolateral prefrontal cortex, anterior cingulate gyrus, and caudate nucleus. Conclusions: The finding of less activation in prefrontal regions but not in parietal regions supports a model of dysfunction of frontostriatal networks in autism spectrum disorders.

The changing nature of innovation networks in Taiwan: From imitation to innovation?

Taiwan is embarking on a new phase in its approach to building its national innovative capacity, through building the infrastructure for a biotechnology industry. Rather than acting as a “fast follower” of trends developed elsewhere, Taiwan is seeking to evolve the elements of a national innovation system, including upgrading the role of universities in providing fundamental R&D, in providing incubators for new, knowledge-based firms, in developing new funding models, and in establishing new biotech-focused science parks. This paper reviews the progress achieved to date, and the prospects for this new phase in Taiwan’s transition from imitation to innovation

Context-free and context-sensitive dynamics in recurrent neural networks

Continuous-valued recurrent neural networks can learn mechanisms for processing context-free languages. The dynamics of such networks is usually based on damped oscillation around fixed points in state space and requires that the dynamical components are arranged in certain ways. It is shown that qualitatively similar dynamics with similar constraints hold for a(n)b(n)c(n), a context-sensitive language. The additional difficulty with a(n)b(n)c(n), compared with the context-free language a(n)b(n), consists of 'counting up' and 'counting down' letters simultaneously. The network solution is to oscillate in two principal dimensions, one for counting up and one for counting down. This study focuses on the dynamics employed by the sequential cascaded network, in contrast to the simple recurrent network, and the use of backpropagation through time. Found solutions generalize well beyond training data, however, learning is not reliable. The contribution of this study lies in demonstrating how the dynamics in recurrent neural networks that process context-free languages can also be employed in processing some context-sensitive languages (traditionally thought of as requiring additional computation resources). This continuity of mechanism between language classes contributes to our understanding of neural networks in modelling language learning and processing.

Functional MR Imaging of visuo-spatial network in Autism Spectrum Disorder

Individuals with Autism Spectrum Disorder (ASD) are generally thought to have impaired attentional and executive function upon which all their cognitive and behaviour functions are based. Mental Rotation is a recognized visuo-spatial task, involving spatial working memory, known to involve activation in the fronto-parietal networks. To elucidate the functioning of fronto-parietal networks in ASD, the aim of this study was to use fMRI techniques with a mental rotation task, to characterize the underlying functional neural system. Sixteen male participants (seven highfunctioning autism or Asperger's syndrome; nine ageand performance IQ-matched controls) underwent fMRI. Participants were presented with 18 baseline and 18 rotation trials, with stimuli rotated 3- dimensionaUy (45°-180°). Data were acquired on a 3- Tesla scanner. The most widely accepted area reported to be involved in processing of visuo-spatial information. Posterior Parietal Cortex, was found to be activated in both groups, however, the ASD group showed decreased activation in cortical and subcortical frontal structures that are highly interconnected, including lateral and medial Brodmann area 6, frontal eye fields, caudate, dorsolateral prefrontal cortex and anterior cingulate. The suggested connectivity between these regions indicates that one or more circuits are impaired as a result of the disorder. In future it is hoped that we are able to identify the possible point of origin of this dysfunction, or indeed if the entire network is dysfunctional.

Lateralized deficit of response inhibition in early-onset schizophrenia

Background. The ability to inhibit inappropriate or unwanted actions is a key element of executive control. The existence OF executive function deficits in schizophrenia is consistent with frontal lobe theories of the disorder. Relatively few Studies have examined response inhibition in schizophrenia, and none in adolescent patients with early-onset schizophrenia (EOS). Methods. Twenty-one adolescents with (lie onset of clinically impairing psychosis before 19 years of age and 16 matched controls performed a stop-signal task to assess response inhibition. The patients with EOS were categorized Lis paranoid (n= 10) and Undifferentiated subtypes (n= 11). The undifferentiated group had higher levels of negative symptomatology. Stop-signal reaction time (SSRT) and go-signal reaction time (Go-RT) were analysed with respect to hand of response. Results. The Undifferentiated early-onset patients had significantly longer SSRTs, indicative of poor response inhibition, for the left hand compared to the paranoid early-onset patients and control participants. No differences existed for inhibitory control with the right hand. The three groups did not differ in Go-RT. Conclusions. Our results indicate a specific lateralized impairment of response inhibition in patients With Undifferentiated, but not paranoid, EOS. These findings are consistent with reports of immature frontostriatal networks in EOS and implicate areas such as the pre-motor cortex and Supplementary motor area (SMA) that are thought to play a role in both voluntary initiation and inhibition of movement.

Using the EM Algorithm to Train Neural Networks: Misconceptions and a New Algorithm for Multiclass Classification

The expectation-maximization (EM) algorithm has been of considerable interest in recent years as the basis for various algorithms in application areas of neural networks such as pattern recognition. However, there exists some misconceptions concerning its application to neural networks. In this paper, we clarify these misconceptions and consider how the EM algorithm can be adopted to train multilayer perceptron (MLP) and mixture of experts (ME) networks in applications to multiclass classification. We identify some situations where the application of the EM algorithm to train MLP networks may be of limited value and discuss some ways of handling the difficulties. For ME networks, it is reported in the literature that networks trained by the EM algorithm using iteratively reweighted least squares (IRLS) algorithm in the inner loop of the M-step, often performed poorly in multiclass classification. However, we found that the convergence of the IRLS algorithm is stable and that the log likelihood is monotonic increasing when a learning rate smaller than one is adopted. Also, we propose the use of an expectation-conditional maximization (ECM) algorithm to train ME networks. Its performance is demonstrated to be superior to the IRLS algorithm on some simulated and real data sets.

Multilingualism and local-global identities: Japanese language education in rural Australia

The purpose of this article is to examine the value accruing to a regional area in Australia from the location of an undergraduate Japanese language education program in a university in that area. The focus is on the manner in which the inclusion of such a program enhances the sustainability of the area. Sustainability is here defined as the resilience demonstrated by social subjects in the absence of the full range of services available in more densely populated and resource advantaged areas. Such resilience implies an ongoing capacity on the part of subjects to contribute productively to social and economic networks in the area. The discussion includes two cases of graduates of the program under review. On the basis of these cases, the argument is advanced that local regional and rural area access to a tertiary sector second language program offers a unique and valuable strategic dimension to the personal and professional development of social agents in regional areas and to the sustainability of these areas generally.

Microstructures of ISF sinters in air

The microstructures of industrial ISF and synthetic sinters were examined. The principle phases present were found to consist of zincite, spinel and glass. The morphologies of the zincite phase in these complex multiphase materials were shown to relate directly to the bulk chemical compositions and thermal histories of the sinters. The conditions favouring the formation of plate-like zincite, essential for the development of refractory networks in the ISF sinters, were identified. The proportion of framework zincite present in the sinters was found to increase with increasing peak bed temperature and an increasing CaO/SiO2 ratio. The aspect ratio of the zincite increases by increasing iron in the solid solution in zincite.

Co-opting conservation: Migrant resource control and access to national park management in the Philippine uplands

The history of political and economic inequality in forest villages can shape how and why resource use conflicts arise during the evolution of national parks management. In the Philippine uplands, indigenous peoples and migrant settlers co-exist, compete over land and forest resources, and shape how managers preserve forests through national parks. This article examines how migrants have claimed lands and changed production and exchange relations among the indigenous Tagbanua to build on and benefit from otherwise coercive park management on Palawan Island, the Philippines. Migrant control over productive resources has influenced who, within each group, could sustain agriculture in the face of the state's dominant conservation narrative - valorizing migrant paddy rice and criminalizing Tagbanua swiddens. Upon settling, migrant farmers used new political and economic strengths to tap into provincial political networks in order to be hired at a national park. As a result, they were able to steer management to support paddy rice at the expense of swidden cultivation. While state conservation policy shapes how national parks impact upon local resource access and use, older political economic inequalities in forest villages build on such policies to influence how management affects the livelihoods of poor households.