USING THE TWO-LEVEL MORPHOLOGY ON MODERN MONGOLIAN LINGUISTICS

This study compiles primarily the word structure of Modern Mongolian language and further more focused on the possibilities of description of Mongolian language in PC KIMMO, a two level processing method of morphological parsing. The rules file and lexicon presented in the paper describe the morphology of Mongolian words. A lexicon containing the root words of contemporary Mongolian is used in the testing. As a result the two-level morphology is determined as completely possible to be used for Mongolian linguistics. In addition PC-KIMMO description of traditional Mongolian script is considered as being possible

Past and future drought in Mongolia

The severity of recent droughts in semiarid regions is increasingly attributed to anthropogenic climate change, but it is unclear whether these moisture anomalies exceed those of the past and how past variability compares to future projections. On the Mongolian Plateau, a recent decade-long drought that exceeded the variability in the instrumental record was associated with economic, social, and environmental change. We evaluate this drought using an annual reconstruction of the Palmer Drought Severity Index (PDSI) spanning the last 2060 years in concert with simulations of past and future drought through the year 2100 CE. We show that although the most recent drought and pluvial were highly unusual in the last 2000 years, exceeding the 900-year return interval in both cases, these events were not unprecedented in the 2060-year reconstruction, and events of similar duration and severity occur in paleoclimate, historical, and future climate simulations. The Community Earth System Model (CESM) ensemble suggests a drying trend until at least the middle of the 21st century, when this trend reverses as a consequence of elevated precipitation. Although the potential direct effects of elevated CO2 on plant water use efficiency exacerbate uncertainties about future hydroclimate trends, these results suggest that future drought projections for Mongolia are unlikely to exceed those of the last two millennia, despite projected warming

A framework for analysing learning health systems: Are we removing the most impactful barriers?

Objective: Learning Health Systems (LHS) are one of the major computing advances in healthcare. However, no prior research has systematically analysed barriers and facilitators for LHS. This paper presents an investigation into the barriers, benefits and facilitating factors for LHS in order to create a basis for their successful implementation and adoption. Method: First, the ITPOSMO-BBF framework was developed based on the established ITPOSMO (Information, Technology, Processes, Objectives, Staffing, Management and Other factors) framework, extending it for analysing barriers, benefits and facilitators. Second, the new framework was applied to LHS. Results: We found that LHS shares similar barriers and facilitators with Electronic Health Records (EHR); in particular, most facilitator effort in implementing EHR and LHS goes towards barriers categorised as human factors, even though they were seen to carry fewer benefits. Barriers whose resolution would bring significant benefits in safety, quality and health outcomes remain. Discussion: LHS envisage constant generation of new clinical knowledge and practice based on the central role of collections of EHR. Once LHS are constructed and operational, they trigger new data streams into the EHR. So LHS and EHR have a symbiotic relationship. The implementation and adoption of EHRs has proved and continues to prove challenging and there are many lessons for LHS arising from these challenges. Conclusion: Successful adoption of LHS should take account of the framework proposed in this paper, especially with respect to its focus on removing barriers that have the most impact

BACKGROUND CONCENTRATION OF MICROELEMENTS IN ULAANBAATAR REGIONAL NATURAL SURFACE SOIL

In this paper were presented the background values in total content and bioavailable concentration of trace elements in regional surface soil of Ulaanbaatar city. The main goal of this study is to establish the total content and bio-available concentration of microelements in natural soil of around Ulaanbaatar and to standardize them as main criterion in assessment of soil pollution by heavy metals. Background sites were selected in 20-40 km from the city center and in the resident zone. In soil samples using the complex analytical methods of atomic spectroscopy have been determined the total content and bio-available concentration of microelements

Architecting dietary intake monitoring as a service combining NLP and IoT

Currently there exist many tools that support monitoring and encouragement of healthy nutrition habits in the context of wellness promotion. In this domain, interfaces based on natural language provide more flexibility for nutritional self-reporting than traditional form-based applications, allowing the users to provide richer and spontaneous descriptions. Nonetheless, in certain circumstances, natural language records may miss some important aspects, such as the quantity of food eaten, which results in incomplete recordings. In the Internet-of-Things (IoT) paradigm, smart home appliances can support and complement the recording process so as to make it more accurate. However, in order to build systems that support the semantic analysis of nutritional self-reports, it is necessary to integrate multiple inter-related components, possibly within complex e-health platforms. For this reason, these components should be designed and encapsulated avoiding monolithic approaches that derive in rigidity and dependency of particular technologies. Currently, there are no models or architectures that serve as a reference for developers towards this objective. In this paper, we present a service-based architecture that helps to contrast and complement the descriptions of food intakes by means of connected smart home devices, coordinating all the stages during the process of recognizing food records provided in natural language. Additionally, we aim to identify and design the essential services that are required to automate the recording and subsequent processing of natural language descriptions of nutritional intakes in association with smart home devices. The functionalities provided by each of these services are ready to work in isolation, just out of the box, or in downstream pipeline processes, bypassing the inconveniences of monolithic architectures.DEP2015-70980-R of the Spanish Ministry of Economy and Competitiveness (MINECO) and European Regional Development Fund (ERDF)European Union’s Horizon 2020 research and innovation programme under grant agreement No 823907COST Action IC1303 AAPEL

Conceptual feasibility studies of a CO (X) -free hydrogen production from ammonia decomposition in a membrane reactor for PEM fuel cells

CO (X) -free hydrogen production from ammonia decomposition in a membrane reactor (MR) for PEM fuel cells was studied using a commercial chemical process simulator, Aspen HYSYSA (R). With process simulation models validated by previously reported kinetics and experimental data, the effect of key operating parameters such as H-2 permeance, He sweep gas flow, and operating temperature was investigated to compare the performance of an MR and a conventional packed-bed reactor (PBR). Higher ammonia conversions and H-2 yields were obtained in an MR than ones in a PBR. It was also found that He sweep gas flow was favorable for X (NH3) enhancement in an MR with a critical value (5 kmol h(-1)), above which no further effect was observed. A higher H-2 permeance led to an increased H-2 yield and H-2 yield enhancement in an MR with the reverse effect of operating temperature on the enhancement. In addition, lower operating temperature resulted in higher X (NH3) enhancement and H-2 yield enhancement as well as NG cost savings in a MR compared to a conventional PBR