Despite advances in medical sciences, many patients cannot gain benefits from developed Methods, especially health care specialists in areas such as, health detection systems are not able to address the problem of high mortality due to lack of proper systematic detection is increasing the death rates in the patients. Brain hemorrhage is one of the most frequent forms of hemorrhages among the people all over the world. The social problem of this research addressed is the lack of system for detection and Classification of brain hemorrhages. This work explores the possibility of finding a solution in three phases. The results of Neural Networks in medical diagnosis and classification computerized algorithms for diagnosing brain hemorrhage by examining Computer Tomography images of patients. The results indicate that the system uses a classification approach and has an accuracy of 90% classification evaluated by domain experts, recommended medical referral decision.The results of this work at various phases could study potentially useful to develop further detection and classification system for medical community in terms of predicting patients who are likely to have brain hemorrhages.
This single-centre study was designed to assess the impact of a pharmaceutical care program in a Nigerian pharmacy. Patients underwent 5 months of usual care and another 5 months of pharmaceutical care. During pharmaceutical care intervention, patients received a face-to-face, goal-directed medication and lifestyle counselling once a month. Blood pressure and quality of life measured before implementation of pharmaceutical care and at the end served as main outcome measures. Other outcomes were also assessed. Twenty four (24) patients out of the 40 recruited completed the study. There were significant reductions in the mean values for systolic blood pressure (14.3 mmHg), diastolic blood pressure (10.8 mmHg) and alcohol misuse (33.3%) after pharmaceutical care intervention. There was a positive increase of -11.4 and -3.2 for physical health and social health domain of quality of life evaluation respectively. Pharmaceutical care programme for hypertensive patients provided in a Nigerian community pharmacy produced beneficial reduction in blood pressure and improved the health related quality of life of the patients.
The major objective of this study is to describe the patterns of language use of various ethno-linguistic groups in bilingual community, particularly in Shone town.The patterns of bilingualism,language shift and maintenance through different generations were over-viewed in the study. The result of the study revealed that Shone is a multilingual town with seven languages in use: Hadiyyisa, Amharic, Wolaytato, Kambatisata, Afan Oromo, Gurage and English. The use of these languages in the family domain and in the out-door domains such as neighborhood, market place, worship places,school,etc.were described thoroughly. The attitude of different linguistic groups towards various languages was also part of the description. Furthermore, code-switching and borrowing as the linguistic consequences of language contact were described briefly. The author hopes that the study will provide relevant information for practitioners who are engaged in language related activities such as language planning, curriculum development, etc. Moreover, social planners and development workers can make use of this study.
Personality recognition from text consists in the automatic classification of authors' personality traits from pieces of text they wrote. Classifier's predictions can be compared against gold standard labels, obtained by means of the big5 personality test. Until recently, the application of personality recognition was limited to offline texts, while now there is a strong interest in the scientific community to apply it to online social network sites, which is a really challenging task. In this work, we address the issue of domain adaptation for automatic personality recognition from text. We argue that current approaches, based on supervised learning, have several limitations when applied to a social network domain. These limitations are mainly due to difficulties in data annotation, overfitting, lack of domain adaptability and multilinguality. We propose and test a new approach to personality recognition from text, that we will call Adaptive Personality Recognition. This new approach is designed to be domain-adaptive and suitable for the application in Social Network Sites.
As the Sub-Saharan African sub-continent continues to grapple with the challenges posed by upsurges in orphanhood, a number of studies have attempted to document how best the response initiatives needs to be crafted to systematically meet the needs of the OVCs. This monograph attempts to contribute to the body of literature on understanding community OVC care. Basing mainly on qualitative evidence from Kenya and Uganda, the study addresses the challenges and complexities that many ingenious community OVC care institutions are grappling with in providing an array of care and support services to the OVCs. It argues that an appropriate informed synergistic response in tandem with local aspirations has the potential to greatly stem the impact of the orphaning crisis in Uganda and Kenya. The analysis of the findings provides vital information and prospects regarding the de- institutionalization of OVC support and response services in the sub-continent. This monograph will prove an invaluable reading masterpiece to OVC development practitioners and analyst as well as students in the social science domain interested in OVC community care.
This publication is a result of a specific study conducted for the degree of Master of Philosophy in Development Geography in 2009 on the impacts of urban displacement and the consequent resettlement of Addis Ababa, Ethiopia. It argued residential relocation has negatively affected the socio-economic well-being of the urban poor people. This is manifested in many ways. First, relocation has resulted in the loss of families locational advantage'. Second, relocation has disrupted many home-based, small-scale income-generating businesses, is the domain of women. Third, relocation created a loss of community relationship and neighborhood support that revolve around community-based social (burial and church-based) and economic (saving) organizations. Yet, the impact of resettlement has variable outcome for the households in terms of the amount of compensation received, power relation with authorities and community participation in decision-making. It concludes urban renewal and resettlement policies must be consistent, well-designed and implemented in partnership with the involvement of people and their organizations, NGOs and the private sectors.
Mate Selection & Marriage are the most important events in the life of any person and it is the seed of future existence. It is necessary for the creation, sustenance and continuation of human beings. It is not just a state one enters into, but a domain of life that needs to be nurtured, so that it may provide couples what they are seeking in life i.e. emotional fulfillment. The bonds of marriage especially in the Indian culture go much beyond marital relationship. According to Hindu philosophy, marriage is a sanskar and a sacrament. It aims at the biological, emotional, social and spiritual fulfillment and the development of an individual. Hence 300 PG students chosen at random from purposely selected 7 colleges of Parbhani dist.,Maharashtra State(India) were personally interviewed based on the interview schedule cum checklist.Irrespective of the SES of PG students, 100% boys,82% girls wanted to get married for the reasons to have best and permanent companion and someone to care and share forever. The findings of the research study are very useful to youth, families,community,educators and researchers for getting enlightened about the changing trends in mate selection and marriage
Research in the multi-disciplinary domain of Information and Communication Technologies (ICT) and Development indicates there is potential for ICT to contribute to a nation's socio-economic development. We contend that there is a need for extending existing IS or ICT theoretical paradigms by the creation of frameworks set in the local context that will either analyse individual ICT applications or understand/measure ICT impacts on socio-economic development, especially in developing countries. Our research constructs a conceptual framework in order to understand the developmental impact at micro or community level in rural areas of one developing country, Bangladesh. We achieve this through an interpretive case study of one type of ICT4D project or intervention in three village areas in Bangladesh. Its results were analysed using Heeks information chain model and Sen notion of development as freedom. Our research makes a contribution to expanding the scope for impact assessment and to identifying social constraints (religious issues, perceptions held of female community members, and so on), and we believe that these constraints demand further investigation.
The present study is a sociolinguistic analysis of language variety choice in Moroccan television advertising discourse. To find out whether language variety choice is random as some admen claim or whether it is rule-governed, we relate admen's choices to sociolinguistic norms generally governing language variety choice in the Moroccan multilingual speech community. The general hypothesis is that the use of the language varieties as governed by the context of advertising would coincide with the diglossic function of these varieties in the speech community. As data, we examine a sample consisting basically of ads recorded over two weeks from the Moroccan national television channel, TVM. Language variety distribution in these ads is examined according to five variables, deemed significant to language choice: the circumstances of broadcast, the medium (written/spoken), the social domain of use of the product, the nature of participation and the persuasive genre.