Blood type examination of Cigentur community as efforts to realize community care for health

Counseling and early examination of blood type to the community at Cigentur village has not been done before. Blood transfusion from incompatible types can cause immunological transfusion reactions and clinical aspects such as the incompatibility of the blood type systems ABO. The community engagement method consists of direct information to the community by visiting every communities house (door to door). Besides, the engagement was also carried out quietly, namely, the residents came to the post directly located at the Wiswa Anak Yatim Piatu, At-Taqwa. After conducting a health test, people who provide personal information from the results of their blood tests. In addition to identifying blood types, this activity provides more knowledge about the health of each that is related to the utilization that has been identified by the group. The results of this activity can be in the form of initial information to determine the policies of each community in carrying out social activities such as blood transfusion. The types of rhesus tests from the communityof Cigentur must be done for information about blood type identification are complete

Analysis and automatic identification of spontaneous emotions in speech from human-human and human-machine communication

383 p.This research mainly focuses on improving our understanding of human-human and human-machineinteractions by analysing paricipants¿ emotional status. For this purpose, we have developed andenhanced Speech Emotion Recognition (SER) systems for both interactions in real-life scenarios,explicitly emphasising the Spanish language. In this framework, we have conducted an in-depth analysisof how humans express emotions using speech when communicating with other persons or machines inactual situations. Thus, we have analysed and studied the way in which emotional information isexpressed in a variety of true-to-life environments, which is a crucial aspect for the development of SERsystems. This study aimed to comprehensively understand the challenge we wanted to address:identifying emotional information on speech using machine learning technologies. Neural networks havebeen demonstrated to be adequate tools for identifying events in speech and language. Most of themaimed to make local comparisons between some specific aspects; thus, the experimental conditions weretailored to each particular analysis. The experiments across different articles (from P1 to P19) are hardlycomparable due to our continuous learning of dealing with the difficult task of identifying emotions inspeech. In order to make a fair comparison, additional unpublished results are presented in the Appendix.These experiments were carried out under identical and rigorous conditions. This general comparisonoffers an overview of the advantages and disadvantages of the different methodologies for the automaticrecognition of emotions in speech

1986-1988 Xavier University College of Arts and Sciences, College of Business Administration, College of Professional Studies, Division of Continuing Education Course Catalog

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