Структура вірусних діарей у дітей на Сумщині

Гострі кишкові інфекції (ГКІ) стійко посідають одне з провідних місць серед усіх інфекційних захворювань, характеризуються широкою поширеністю, високою частотою розвитку тяжких форм і ускладнень. Прогрес у галузі лабораторних методів діагностики дозволив істотно розширити уявлення про етіологічні чинники хвороби: у країнах, що розвиваються, домінують діарейні інфекції бактерійної етіології, а в економічно розвинених країнах - вірусної. При цитуванні документа, використовуйте посилання http://essuir.sumdu.edu.ua/handle/123456789/3228

Designing Ubiquitous Personalized TV-Anytime Services

In this paper we present the design of an environment that offers personalized, ubiquitous information services in the emerging integrated world of the digital-TV and the Internet. This environment is based on extended TV sets with a large capacity disk and Internet connection. We present an architecture that integrates external service providers that provide extended information services about broadcasts with powerful retrieval, personalization and ubiquitous access capabilities. We assume that the metadata information about the content of the TV programs follows the TV-anytime Forum Metadata (TVAM) specifications. The architecture allows content based matching and/or retrieval based on the description of the broadcast or parts of the broadcast according to the interests of the viewers. The viewer has access to his/her "personal channel" any time not only from home, but also while on move. It is obvious that due to communication, storage and processing limitations of handy devices, it is not possible to access normal digital-TV content. Thus, special mechanisms that filter and appropriately adapt the content are necessary, in order to meet user's preferences and make its delivery and presentation feasible on the handy devices

Sustainable Grain Protectants: Recruiting Entomopathogenic Nematodes against Stored-Product Coleopterans

Stored-product commodities are attacked by numerous insect species. The adulticidal effects of entomopathogenic nematodes (EPNs) on grains remain uninvestigated. Thus, in the current study, seven doses of the EPNs Heterorhabditis bacteriophora Poinar (Rhabditida: Heterorhabditidae), Steinernema carpocapsae (Weiser) (Rhabditida: Steinernematidae), and Steinernema feltiae (Filipjev) (Rhabditida: Steinernematidae) were inoculated on wheat kernels against adults of Trogoderma granarium Everts (Coleoptera: Dermestidae), Tenebrio molitor L. (Coleoptera: Tenebrionidae), and Alphitobius diaperinus (Panzer) (Coleoptera: Tenebrionidae). Complete mortality (100.0%) of T. granarium was recorded after exposure for eight days to the highest dose of 50,000 Infective Juveniles/mL (IJs/mL) of all tested EPN species. At the same exposure interval, 62.2%, 85.6%, and 76.7% of T. molitor were killed by 50,000 IJs/mL of H. bacteriophora, S. carpocapsae, and S. feltiae, respectively. The highest mortality of A. diaperinus (11.1%) was documented eight days post-exposure to 50,000 IJs/mL of H. bacteriophora. In general, T. granarium was highly susceptible, followed by T. molitor and A. diaperinus. Concerning EPN species, S. carpocapsae exhibited the highest insecticidal capacity, followed by S. feltiae and H. bacteriophora. Trogoderma granarium and T. molitor can be sufficiently managed by the highest dose of 50,000 IJs/mL of all three EPNs and by S. carpocapsae, respectively. However, A. diaperinus was not affected by any EPNs

A natural language model for managing TV-anytime information in mobile environments

Summarization: The TV-Anytime standard describes structures of categories of digi-tal TV program metadata, as well as User Profile metadata for TV programs. We describe a natural language model for the users to interact with the TV-Anytime metadata and preview TV programs from their mobile devices. The language utilizes completely the TV-Anytime metadata specifications and it can accommodate future metadata extensions. The interaction model does not use clarification dialogues, but it uses the user profiles to rank the possible answers in case of ambiguities, as well as TV-Anytime Metadata information and on-tologies with information concerning digital TV. We describe an implementa-tion of the language that runs on a PDA and a mobile phone and manages the metadata on a remote TV-Anytime compatible TV set.Presented on: Personal and Ubiquitous Computin

Sustainable Grain Protectants: Recruiting Entomopathogenic Nematodes against Stored-Product Coleopterans

Stored-product commodities are attacked by numerous insect species. The adulticidal effects of entomopathogenic nematodes (EPNs) on grains remain uninvestigated. Thus, in the current study, seven doses of the EPNs Heterorhabditis bacteriophora Poinar (Rhabditida: Heterorhabditidae), Steinernema carpocapsae (Weiser) (Rhabditida: Steinernematidae), and Steinernema feltiae (Filipjev) (Rhabditida: Steinernematidae) were inoculated on wheat kernels against adults of Trogoderma granarium Everts (Coleoptera: Dermestidae), Tenebrio molitor L. (Coleoptera: Tenebrionidae), and Alphitobius diaperinus (Panzer) (Coleoptera: Tenebrionidae). Complete mortality (100.0%) of T. granarium was recorded after exposure for eight days to the highest dose of 50,000 Infective Juveniles/mL (IJs/mL) of all tested EPN species. At the same exposure interval, 62.2%, 85.6%, and 76.7% of T. molitor were killed by 50,000 IJs/mL of H. bacteriophora, S. carpocapsae, and S. feltiae, respectively. The highest mortality of A. diaperinus (11.1%) was documented eight days post-exposure to 50,000 IJs/mL of H. bacteriophora. In general, T. granarium was highly susceptible, followed by T. molitor and A. diaperinus. Concerning EPN species, S. carpocapsae exhibited the highest insecticidal capacity, followed by S. feltiae and H. bacteriophora. Trogoderma granarium and T. molitor can be sufficiently managed by the highest dose of 50,000 IJs/mL of all three EPNs and by S. carpocapsae, respectively. However, A. diaperinus was not affected by any EPNs

A natural language model and a system for managing TV-anytime information from mobile devices

Summarization: The TV-Anytime standard describes structures of categories of digital TV program metadata, as well as User Profile metadata for TV programs. In this case study we describe a natural language model and a system for the users to interact with the metadata and preview TV programs stored in remote databases, from their mobile devices contrary to their limited configurations. By the use of the TV-Anytime metadata specifications the system limits greatly the possibility for ambiguities. The interaction model deals with ambiguities by using the TV-Anytime user profiles and metadata information concerning digital TV to rank the possible answers. The interaction between the user and the system is done by the use of a PDA and a mobile phone with metadata information stored on a database on a remote TV-Anytime compatible TV set.Παρουσιάστηκε στο: International Conference on Applications of Natural Language to Information Systems - NLD