脳情報学に基づく人間の認知・感情とその相互関係における研究

This dissertation concentrates on the neural substrates underlying the human cognition, emotion, and their interactions. Directed by the systematic methodology of brain informatics (BI), functional magnetic resonance imaging (fMRI) experiments were performed to investigate the information processing of mental arithmetic, self-regulation of aversive emotion, and attention deployment of patients with major depressive disorder (MDD), which were utilized as typical paradigms to study the relationship between cognition and emotion. Four major findings could be concluded: 1) mental addition calculation is naturally automaticwhile subtraction calculation is complex; 2) both bottom-up suppression and top-down regulation are engaged in the self-recovery from aversive emotion; 3) cognition and emotion influence each other, since some cognitive resources and brain regions are shared by the both brain functions; 4) Abnormal functioning in the joint brain areas is more likely to lead to impairments in both cognitive and emotional functions simultaneously. Our findings demonstrate that human cognition and emotion are not isolated, but compete for cognitive resources for attention and executive control. The present thesis can also be considered as a case study for demonstrating the advances of BI methodology in accelerating progress towards a multi-level understanding of brain structure and function.学位記番号:工博甲1

Semantic similarity framework for Thai conversational agents

Conversational Agents integrate computational linguistics techniques and natural language to support human-like communication with complex computer systems. There are a number of applications in business, education and entertainment, including unmanned call centres, or as personal shopping or navigation assistants. Initial research has been performed on Conversational Agents in languages other than English. There has been no significant publication on Thai Conversational Agents. Moreover, no research has been conducted on supporting algorithms for Thai word similarity measures and Thai sentence similarity measures. Consequently, this thesis details the development of a novel Thai sentence semantic similarity measure that can be used to create a Thai Conversational Agent. This measure, Thai Sentence Semantic Similarity measure (TSTS) is inspired by the seminal English measure, Sentence Similarity based on Semantic Nets and Corpus Statistics (STASIS). A Thai sentence benchmark dataset, called 65 Thai Sentence pairs benchmark dataset (TSS-65), is also presented in this thesis for the evaluation of TSTS. The research starts with the development a simple Thai word similarity measure called TWSS. Additionally, a novel word measure called a Semantic Similarity Measure, based on a Lexical Chain Created from a Search Engine (LCSS), is also proposed using a search engine to create the knowledge base instead of WordNet. LCSS overcomes the problem that a prototype version of Thai Word semantic similarity measure (TWSS) has with the word pairs that are related to Thai culture. Thai word benchmark datasets are also presented for the evaluation of TWSS and LCSS called the 30 Thai Word Pair benchmark dataset (TWS-30) and 65 Thai Word Pair benchmark dataset (TWS-65), respectively. The result of TSTS is considered a starting point for a Thai sentence measure which can be illustrated to create semantic-based Conversational Agents in future. This is illustrated using a small sample of real English Conversational Agent human dialogue utterances translated into Thai

การลดความยากจนและการพัฒนาเศรษฐกิจในกลุ่มประเทศต่างๆ

The purposes of this study were to present the current situation of poverty, economic growth, and economic development for five selected countries in Latin America and to examine the relationship between poverty, economic growth, and economic development through traditional log-linear regression model for panel data analysis. The result from fixed effect model suggested that economic development is more effective and preferable than economic growth in eradicating of poverty. Policy issued aimed at raising citizen's living standard should shed on income, health, and education simultaneously instead of standard improvement in income level only

การลดความยากจนและการพัฒนาเศรษฐกิจในกลุ่มประเทศต่างๆ

The purposes of this study were to present the current situation of poverty, economic growth, and economic development for five selected countries in Latin America and to examine the relationship between poverty, economic growth, and economic development through traditional log-linear regression model for panel data analysis. The result from fixed effect model suggested that economic development is more effective and preferable than economic growth in eradicating of poverty. Policy issued aimed at raising citizen's living standard should shed on income, health, and education simultaneously instead of standard improvement in income level only

Terrestrial land cover shapes fish diversity in major subtropical rivers

Freshwater biodiversity is critically affected by human modifications of terrestrial land use and land cover (LULC). Yet, knowledge of the spatial extent and magnitude of LULC-aquatic biodiversity linkages is still surprisingly limited, impeding the implementation of optimal management strategies. Here, we compiled fish diversity data across a 160,000-km² subtropical river catchment in Thailand characterized by exceptional biodiversity yet intense anthropogenic alterations, and attributed fish species richness and community composition to contemporary terrestrial LULC across the catchment. We estimated a spatial range of LULC effects extending up to about 20 km upstream from sampling sites, and explained nearly 60% of the variance in the observed species richness, associated with major LULC categories including croplands, forest, and urban areas. We find that integrating both spatial range and magnitudes of LULC effects is needed to accurately predict fish species richness. Further, projected LULC changes showcase future gains and losses of fish species richness across the river network and offer a scalable basis for riverine biodiversity conservation and land management, allowing for potential mitigation of biodiversity loss in highly diverse yet data-deficient tropical to sub-tropical riverine habitats

Mapping biodiversity hotspots of fish communities in subtropical streams through environmental DNA.

Large tropical and subtropical rivers are among the most biodiverse ecosystems worldwide, but also suffer from high anthropogenic pressures. These rivers are hitherto subject to little or no routine biomonitoring, which would be essential for identification of conservation areas of high importance. Here, we use a single environmental DNA multi-site sampling campaign across the 200,000 km2 Chao Phraya river basin, Thailand, to provide key information on fish diversity. We found a total of 108 fish taxa and identified key biodiversity patterns within the river network. By using hierarchical clustering, we grouped the fish communities of all sites across the catchment into distinct clusters. The clusters not only accurately matched the topology of the river network, but also revealed distinct groups of sites enabling informed conservation measures. Our study reveals novel opportunities of large-scale monitoring via eDNA to identify relevant areas within whole river catchments for conservation and habitat protection

Rapid and high throughput molecular identification of diverse mosquito species by igh resolution melting analysis

Mosquitoes are a diverse group of invertebrates, with members that are among the most important vectors of diseases. The correct identification of mosquitoes is paramount to the control of the diseases that they transmit. However, morphological techniques depend on the quality of the specimen and often unavailable taxonomic expertise, which may still not be able to distinguish mosquitoes among species complexes (sibling and cryptic species). High resolution melting (HRM) analyses, a closed-tube, post-polymerase chain reaction (PCR) method used to identify variations in nucleic acid sequences, has been used to differentiate species within the Anopheles gambiae and Culex pipiens complexes. We validated the use of PCR-HRM analyses to differentiate species within Anopheles and within each of six genera of culicine mosquitoes, comparing primers targeting cytochrome b (cyt b), NADH dehydrogenase subunit 1 (ND1), intergenic spacer region (IGS) and cytochrome c oxidase subunit 1 (COI) gene regions. HRM analyses of amplicons from all the six primer pairs successfully differentiated two or more mosquito species within one or more genera (Aedes (Ae. vittatus from Ae. metallicus), Culex (Cx. tenagius from Cx. antennatus, Cx. neavei from Cx. duttoni, cryptic Cx. pipiens species), Anopheles (An. gambiae s.s. from An. arabiensis) and Mansonia (Ma. africana from Ma. uniformis)) based on their HRM profiles. However, PCR-HRM could not distinguish between species within Aedeomyia (Ad. africana and Ad. furfurea), Mimomyia (Mi. hispida and Mi. splendens) and Coquillettidia (Cq. aurites, Cq. chrysosoma, Cq. fuscopennata, Cq. metallica, Cq. microannulatus, Cq. pseudoconopas and Cq. versicolor) genera using any of the primers. The IGS and COI barcode region primers gave the best and most definitive separation of mosquito species among anopheline and culicine mosquito genera, respectively, while the other markers may serve to confirm identifications of closely related sub-species. This approach can be employed for rapid identification of mosquitoes

A new benchmark dataset with production methodology for short text semantic similarity algorithms

This research presents a new benchmark dataset for evaluating Short Text Semantic Similarity (STSS) measurement algorithms and the methodology used for its creation. The power of the dataset is evaluated by using it to compare two established algorithms, STASIS and Latent Semantic Analysis. This dataset focuses on measures for use in Conversational Agents; other potential applications include email processing and data mining of social networks. Such applications involve integrating the STSS algorithm in a complex system, but STSS algorithms must be evaluated in their own right and compared with others for their effectiveness before systems integration. Semantic similarity is an artifact of human perception; therefore its evaluation is inherently empirical and requires benchmark datasets derived from human similarity ratings. The new dataset of 64 sentence pairs, STSS-131, has been designed to meet these requirements drawing on a range of resources from traditional grammar to cognitive neuroscience. The human ratings are obtained from a set of trials using new and improved experimental methods, with validated measures and statistics. The results illustrate the increased challenge and the potential longevity of the STSS-131 dataset as the Gold Standard for future STSS algorithm evaluation. © 2013 ACM 1550-4875/2013/12-ART17 15.00

Species identification approach for both raw materials and end products of herbal supplements from Tinospora species

Abstract Background Nowadays herbal products used in traditional medicine are sold in processed forms and thus morphological authentication is almost impossible. With herbal industry rapidly growing size, consumer safety becomes an important issue that requires special attention. Identification of herbal species in the products is therefore needed. Methods Sequences from the selected regions (matK, rbcL, trnL and ITS1) were retrieved and analysed. Then the most suitable barcode was assessed for discrimination of T. crispa from closely related species by HRM analysis and used in authentication of commercial products. Results The ITS1 barcode was found to be the suitable primer as melting data from the HRM assay proved to be capable of distinguishing T. crispa from its related species. The developed protocol was then employed to authenticate medicinal products in powdered form. HRM analysis of all tested samples here revealed that five out of eight products contained not only the indicated species T. crispa but also other Tinospora, that have a high level of morphological similarity. Conclusion Misrepresentation, poor packaging and inappropriate labeling of the tested medicinal herbal products are thought to be the reason of the results here. Using Bar-HRM with the ITS marker lead to success in authenticating the tested herbal products

L'Asie, l'Insulinde, l'Afrique (Nouvelle édition...) / par MM. P. Vidal de La Blache et P. Camena d'Almeida

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