Interactive Mobile Communication System with Facial Expression Extracting Emotion

We have already proposed a chat system representing a facial expression corresponded to user’s emotion called JavaFaceChat. However it is difficult to use JavaFaceChat on mobile phone because it requires some complicated tasks, large databases, and natural language processing. Therefore, we construct a simple version of JavaFaceChat. The system calculates seven types of emotions (angry, disgust, fear, happy, perplex, sadness, and surprise) from appearance of emotion words in the message and the strongest emotion is expressed by a facial expression image

User's Comment Classifying Method Using Self Organizing Feature Map on Healthcare System for Diabetic

Diabetes is a metabolic disorder characterized by the elevation of blood glucose. Glysemic control can delay the onset and slow the progression of vascular complications. Lifestyle modification including weight reduction can contribute significantly to glycemic control. The Health Support Intelligent System for Diabetic Patients (HSISD) can provide guideline-based decision support for lifestyle modifications in the treatment of diabetes. HSISD also provides opportunities for telecounseling (TC) with the use of mobile devices and the Internet. The telecounseling phase inquires about the patient’s condition and the patient answer in a questionnaire. In the questionnaire, there is a question like “Have you developed any symptoms of anxiety? If yes, tell me the details.” The answer is described freely so the physician should read all of patient’s answer. But it is hard for physicians to read all text carefully because a physician has a lot of patients. We propose a method to analyze text data from the patients and classify them into five anxiety types (mental problem, physical problem, diet, physical activity, and medicine) automatically. Related to the classified anxiety type, the method can analyze the patient’s inner emotion to guess serious and emergency degree of the patient. In this method, Self organizing feature map is trained by the distribution of feature words (morphemes) in the input text and also classifies anxiety type and emotion type

Estimation of Hierarchical Emotion in Mental State Transition Learning Network

In general, emotions are often appeared in the facial expressions, voice pitch, exaggerated gesticulation, and so on. They are outward signals of emotions, internal world in order to serve for human communications. Perlovsky described on aesthetic emotions and analyzed their role within joint functioning of cognition and language. This paper proposes the different method from his idea. The method uses Mental State Transition Network proposed by Ren and Emotion Generation Calculations. Moreover, the transition costs in the network are modified according to the stimulus from external world. The simulation results also are reported

環境ストレス応答におけるシロイヌナズナMAPキナーゼカスケードに関する分子生物学的解析

Thesis (Ph. D. in Science)--University of Tsukuba, (A), no. 2016, 1999.3.2

Studies on the Effect of Radio Frequency Field in a Cusp-Type Charge Separation Device for Direct Energy Conversion

In D-3He fusion power generation, an application of direct energy conversion is expected in which separation of charged particles is necessary. A cusp-type direct energy converter (CuspDEC) was proposed as a charge separation device, but its performance was degraded for a high density plasma. The goal of the present study is to establish an additional method to assist charge separation by using a nonlinear effect of a radio frequency (rf) electric field. Following to the previous study, we experimentally examine the effect of an rf field to electron motion in a CuspDEC device. Two ring electrodes were newly installed in a CuspDEC simulator and the current flowing into the electron collector located in the line cusp region was measured on an rf field application. The significant variation in the current was found, and an improvement of the charge separation can be expected by using the phenomenon appropriately

ダイバータ模擬の為のGAMMA 10/PDXタンデムミラーにおける端損失イオン束に関する研究

筑波大学 (University of Tsukuba)201

自己組織化マップによる心的状態遷移ネットワークとEGCの分類

application/pdfMental State Transitions Network which consists of mental states connected one another is a basic concept of approximating to human psychological and mental responses. It can represent transition from an emotional state to other one with stimulus calculated by Emotion Generating Calculation method. In this paper, our model of mental state transition is verified by comparing with the classification results by SOM.開催日：平成23年7月9日　会場：広島市立大学conference pape

The MKK2 Pathway Mediates Cold and Salt Stress Signaling in Arabidopsis

AbstractThe Arabidopsis mitogen-activated protein kinase (MAPK) kinase 2 (MKK2) and the downstream MAPKs MPK4 and MPK6 were isolated by functional complementation of osmosensitive yeast mutants. In Arabidopsis protoplasts, MKK2 was specifically activated by cold and salt stress and by the stress-induced MAPK kinase kinase MEKK1. Yeast two-hybrid, in vitro, and in vivo protein kinase assays revealed that MKK2 directly targets MPK4 and MPK6. Accordingly, plants overexpressing MKK2 exhibited constitutive MPK4 and MPK6 activity, constitutively upregulated expression of stress-induced marker genes, and increased freezing and salt tolerance. In contrast, mkk2 null plants were impaired in MPK4 and MPK6 activation and were hypersensitive to salt and cold stress. Full genome transcriptome analysis of MKK2-overexpressing plants demonstrated altered expression of 152 genes involved in transcriptional regulation, signal transduction, cellular defense, and stress metabolism. These data identify a MAP kinase signaling cascade mediating cold and salt stress tolerance in plants

Fusarium phytotoxin trichothecenes have an elicitor-like activity in Arabidopsis thaliana, but the activity differed significantly among their molecular species

金沢大学学際科学実験センター遺伝子研究施設Phytopathogenic fungi such as Fusarium spp. synthesize trichothecene family phytotoxins. Although the type B trichothecene, deoxynivalenol (DON), is thought to be a virulence factor allowing infection of plants by their trichothecene-producing Fusarium spp., little is known about effects of trichothecenes on the defense response in host plants. Therefore, in this article, we investigated these effects of various trichothecenes in Fusarium-susceptible Arabidopsis thaliana. Necrotic lesions were observed in Arabidopsis leaves infiltrated by 1 μM type A trichothecenes such as T-2 toxin. Trichothecene-induced lesions exhibited dead cells, callose deposition, generation of hydrogen peroxide, and accumulation of salicylic acids. Moreover, infiltration by trichothecenes caused rapid and prolonged activation of two mitogen-activated protein kinases and induced expression of both PR-1 and PDF1.2 genes. Thus, type A trichothecenes trigger the cell death by activation of an elicitor-like signaling pathway in Arabidopsis. Although DON did not have such an activity even at 10 μM, translational inhibition by DON was observed at concentrations above 5 μM. These results suggested that DON is capable of inhibiting translation in Arabidopsis cells without induction of the elicitor-like signaling pathway. © 2006 The American Phytopathological Society.