The dot-com bubble bursted in the year 2000 followed by a swift movement towards resource virtualization and cloud computing business model. Cloud computing emerged not as new form of computing or network technology but a mere remoulding of existing technologies to suit a new business model. Cloud robotics is understood as adaptation of cloud computing ideas for robotic applications. Current efforts in cloud robotics stress upon developing robots that utilize computing and service infrastructure of the cloud, without debating on the underlying business model. HTM5 is an OMG's MDA based Meta-model for agent oriented development of cloud robotic systems. The trade-view of HTM5 promotes peer-to-peer trade amongst software agents. HTM5 agents represent various cloud entities and implement their business logic on cloud interactions. Trade in a peer-to-peer cloud robotic system is based on relationships and contracts amongst several agent subsets. Electronic Institutions are associations of heterogeneous intelligent agents which interact with each other following predefined norms. In Dynamic Electronic Institutions, the process of formation, reformation and dissolution of institutions is automated leading to run time adaptations in groups of agents. DEIs in agent oriented cloud robotic ecosystems bring order and group intellect. This article presents DEI implementations through HTM5 methodology.
Matched MeSH terms: Management Information Systems
The aim of the present study is to determine the “community indicator” for dental caries among secondary school children within the Federal Territory of Kuala Lumpur (FTKL). School factors were investigated for their ability to be used as community indicators. The components encompassing school factors include: type of school, school’s examination performances at the Peperiksaan Menengah Rendah (PMR) level, in the subjects of Mathematics, Bahasa Melayu (Malay Language), Science and English, school’s socioeconomic circumstances and school’s material deprivation. The study design is ecological in nature where schools were the unit of analysis. It used aggregated data for caries experiences acquired from the Oral Health Management Information System and the school factors which were extracted from the schools’ database. The subjects involved in this study were all the (75) day type secondary schools in FTKL. However, only 55 schools had complete information both for the dental caries factor and the school factors which were available for analysis. The use of bivariate analysis suggested that the school mean DMFT was significantly associated with the schools’ performance in English (p= 0.02) and the schools’ socioeconomic code (p= 0.005). The schools’ performance in English and socioeconomic code were able to explain about 10 percent and 14 percent of the variation in the school mean DMFT respectively. The final model that included both variables together explained about 17 percent of the variation in school mean DMFT. As a conclusion, this study suggests that the schools’ performance in English at the PMR level and the schools’ socioeconomic code could be used as community indicator to identify secondary schools with higher caries level in FTKL. Nevertheless, further
improvement of the model is needed in order to create a more reliable indicator.
Matched MeSH terms: Management Information Systems
The practice of medicine, with its wide range of environmental conditions and complex dependencies, has long been used as a test bed for various advanced technologies. Telemedicine, as conceptualised within the Multimedia Super Corridor (MSC) context, is seen as the application of several relatively mature technologiesartificial intelligence (AI), multimedia communication and information systems (IS) amongst othersso as to benefit a large cross-section of the Malaysian population. We will discuss in general terms the Malaysian vision on the comprehensive MSC telemedicine solution, its functionality and associated operational conditions. In particular, this paper focuses on the conceptualisation of one key telemedical component i.e. the Lifetime Health Plan (LHP) system, which is eventually intended to be a distributed multi-module application for the periodic monitoring and generation of health-care advisories for upwards of 20 million Malaysians.
Matched MeSH terms: Management Information Systems
Four hundred and thirty five (435) cases 0f sexually transmitted infections (STIs) were notified from 20 (twenty) primary care clinics throughout Malaysia from June 1999 till September 2000 using the syndromic approach of STI management, adapted by the Ministry of Health based upon the criteria set by the World Health Organisation (WHO). Gonorrhoea was the most prevalent STI reported (30.34 %), followed by candidiasis (28.05%), syphilis (15.17%) and non-specific urethritis (NSU) — 14.02%) . As seen in most other parts of the world, the younger age groups (those between twenty and thirty nine years old) were found to be more commonly infected with STIs. Initial analysis shows that systematic data collection based on the syndromes and clear—case definitions (algorithms for the syndromic approach} need to be developed and added further to the current manual that is being developed for the health and medical staff at the operational it level. Exploration and expansion of behavioural surveillance research, management information systems of the syndromic approach, and development of new or additional strategies in the manual for the staff too, also need improvement. The Ministry of Health is also concerned about the quantity and quality of the available data based upon syndromic management of STI as compared to laboratory based criteria. Since this programme is very much client centered, the adoption of this approach generally might offer substantial improvements in the quality and effectiveness of STI care, either within the public or the private health care settings in Malaysia.
Matched MeSH terms: Management Information Systems
In this article we present a standardized dataset on 6659 songbirds (Passeriformes) highlighting information relevant to species conservation prioritization with a main focus to support the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES). Data were collected from both scientific and grey literature as well as several online databases. The data are structured into six knowledge categories: Conventions and Treaties, Human Use, Extinction Risk, Management Opportunities, Biological Information, and Intrinsic Values. The Conventions and Treaties category includes the listings for two international conventions, CITES and the Convention on the Conservation of Migratory Species of Wild Animals (CMS), as well as EU listings for the EU Wildlife Trade Regulations and the EU Birds Directive. The Human Use category contains information on both regulated trade collected from the CITES Trade Database and the United States' Law Enforcement Management Information System (LEMIS), and highly aggregated data on seizures which we obtained from TRAFFIC, the United Nations Office on Drugs and Crime (UNODC) and two data sources on traditional medicine. We also present, for the first time, the complete Songbirds in Trade Database (SiTDB), a trade database curated by taxon expert S. Bruslund based on expert knowledge, literature review, market surveys and sale announcements. Data on the types of human use, including traditional medicine are also provided. The knowledge area on Extinction Risk contains data on the species' IUCN Red List status, the Alliance for Zero Extinction Trigger Species status, site and population at the site, the species' IUCN Climate Change Vulnerability Assessment, and the listing of priority species at the Asian Songbird Crisis Summit. In the Management Opportunities category, we gathered data on ex-situ management from Species360 zoo holdings as well as species management plans from the European and North American Zoo Associations (EAZA and AZA, respectively). Biological Information includes data on body mass, clutch size, diet, availability of data from the IUCN Red List on habitat systems, extent of occurrence, generation length, migration pattern, distribution, and biological data from the Demographic Species Knowledge Index, number of occurrences recorded by the Global Biodiversity Information Facility (GBIF) as well as genomic data from the Bird 10 000K Genomes (B10K) project, Vertebrate Genome Project (VGP) and GenBank. Information on invasive species is also part of this knowledge area. The Intrinsic Value category refers to two measures of the species' intrinsic value, namely Ecological and Evolutionary Distinctiveness. In order to make these knowledge areas comparable, we standardized data following the taxonomy of the Handbook of the Birds of the World and Birdlife (Version 4, 2019). The data enable a broad spectrum of analyses and will be useful to scientists for further research and to policymakers, zoos and other conservation stakeholders for future prioritization decisions.
Matched MeSH terms: Management Information Systems