1,323,419 research outputs found
ΠΠ½Π΅ΠΌΠΎΡΠ΅Ρ Π½ΠΈΠΊΠ° ΠΊΠ°ΠΊ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½Π°Ρ ΠΏΠ΅Π΄Π°Π³ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠ°Ρ ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΠΈΡ Π² ΠΈΠ·ΡΡΠ΅Π½ΠΈΠΈ ΡΡΡΡΠΊΠΎΠΉ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΎΠΉ Π»Π΅ΠΊΡΠΈΠΊΠΈ ΠΈΠ½ΠΎΡΡΡΠ°Π½Π½ΡΠΌΠΈ ΡΡΡΠ΄Π΅Π½ΡΠ°ΠΌΠΈ-ΠΌΠ΅Π΄ΠΈΠΊΠ°ΠΌΠΈ
Introduction. The article is devoted to the application of mnemonics as an effective pedagogical technology in the study of Russian professional medical lexicon by foreign students of medical faculties. The main demand of modern society is the high grade of learning of medical graduates, including foreign ones who has been studying Russian language. Purpose setting. The author of the article aims to show the positive result of the author's mnemonics technologyΒ use as an effective pedagogical technology in teaching medical students from Arab countries, solving the problems of quick memorization and correct reproduction of professional medical terms in Russian (using the example of the text on the discipline Β«AnatomyΒ»). Methodology and methods of the study. The methodological basis of the study was the identification of the volume of memorized and reproduced Russian professional medical lexicon by foreign students during the experiment. Results. Pedagogical technology with mnemonic techniques was introduced by the author in classes with foreign students from Arab countries of 2β4 courses of the Medical Faculty of Ulyanovsk State University, studying in the specialty Β«General MedicineΒ». Studies conducted with experimental and control groups of students after applying the author's technology showed: the volume of reproduced information in the experimental group is 71β% of the studied amount of information, and in the control group β only 42β%, what indicates the high efficiency of the author's mnemonic pedagogical technology. Conclusions. The practical significance of the work is in the acceleration of the memorization of medical lexicon by foreign students and can be used in Russian as a foreign language classes at medical faculties of Russian universities.ΠΠ²Π΅Π΄Π΅Π½ΠΈΠ΅. Π‘ΡΠ°ΡΡΡ ΠΏΠΎΡΠ²ΡΡΠ΅Π½Π° Π²ΠΎΠΏΡΠΎΡΠ°ΠΌ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ ΠΌΠ½Π΅ΠΌΠΎΡΠ΅Ρ
Π½ΠΈΠΊΠΈ ΠΊΠ°ΠΊ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠΉ ΠΏΠ΅Π΄Π°Π³ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ Π² ΠΈΠ·ΡΡΠ΅Π½ΠΈΠΈ ΠΈΠ½ΠΎΡΡΡΠ°Π½Π½ΡΠΌΠΈ ΡΡΡΠ΄Π΅Π½ΡΠ°ΠΌΠΈ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΈΡ
ΡΠ°ΠΊΡΠ»ΡΡΠ΅ΡΠΎΠ² ΠΏΡΠΎΡΠ΅ΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΎΠΉ Π»Π΅ΠΊΡΠΈΠΊΠΈ Π½Π° ΡΡΡΡΠΊΠΎΠΌ ΡΠ·ΡΠΊΠ΅. ΠΡΠ½ΠΎΠ²Π½ΡΠΌ Π·Π°ΠΏΡΠΎΡΠΎΠΌ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠ³ΠΎ ΠΎΠ±ΡΠ΅ΡΡΠ²Π° ΡΠ²Π»ΡΠ΅ΡΡΡ Π²ΡΡΠΎΠΊΠΈΠΉ ΡΡΠΎΠ²Π΅Π½Ρ ΠΎΠ±ΡΡΠ΅Π½Π½ΠΎΡΡΠΈ Π²ΡΠΏΡΡΠΊΠ½ΠΈΠΊΠΎΠ² ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΈΡ
ΡΠ°ΠΊΡΠ»ΡΡΠ΅ΡΠΎΠ², Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅ Π²ΡΠΏΡΡΠΊΠ½ΠΈΠΊΠΎΠ²-ΠΈΠ½ΠΎΡΡΡΠ°Π½ΡΠ΅Π², ΠΈΠ·ΡΡΠ°ΡΡΠΈΡ
ΡΡΡΡΠΊΠΈΠΉ ΡΠ·ΡΠΊ. ΠΠΎΡΡΠ°Π½ΠΎΠ²ΠΊΠ° Π·Π°Π΄Π°ΡΠΈ. Π¦Π΅Π»Ρ ΡΡΠ°ΡΡΠΈ β ΠΏΠΎΠΊΠ°Π·Π°ΡΡ ΠΏΠΎΠ»ΠΎΠΆΠΈΡΠ΅Π»ΡΠ½ΡΠΉ ΡΠ΅Π·ΡΠ»ΡΡΠ°Ρ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ Π°Π²ΡΠΎΡΡΠΊΠΎΠΉ ΠΌΠ½Π΅ΠΌΠΎΡΠ΅Ρ
Π½ΠΈΠΊΠΈ ΠΊΠ°ΠΊ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠΉ ΠΏΠ΅Π΄Π°Π³ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ Π² ΠΎΠ±ΡΡΠ΅Π½ΠΈΠΈ ΡΡΡΠ΄Π΅Π½ΡΠΎΠ²-ΠΌΠ΅Π΄ΠΈΠΊΠΎΠ² ΠΈΠ· Π°ΡΠ°Π±ΡΠΊΠΈΡ
ΡΡΡΠ°Π½, ΡΠ΅ΡΠ°ΡΡΠ΅ΠΉ Π·Π°Π΄Π°ΡΠΈ Π±ΡΡΡΡΠΎΠ³ΠΎ Π·Π°ΠΏΠΎΠΌΠΈΠ½Π°Π½ΠΈΡ ΠΈ ΠΏΡΠ°Π²ΠΈΠ»ΡΠ½ΠΎΠ³ΠΎ Π²ΠΎΡΠΏΡΠΎΠΈΠ·Π²Π΅Π΄Π΅Π½ΠΈΡ ΠΏΡΠΎΡΠ΅ΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΈΡ
ΡΠ΅ΡΠΌΠΈΠ½ΠΎΠ² Π½Π° ΡΡΡΡΠΊΠΎΠΌ ΡΠ·ΡΠΊΠ΅ (Π½Π° ΠΏΡΠΈΠΌΠ΅ΡΠ΅ ΡΠ΅ΠΊΡΡΠ° ΠΏΠΎ Π΄ΠΈΡΡΠΈΠΏΠ»ΠΈΠ½Π΅ Β«ΠΠ½Π°ΡΠΎΠΌΠΈΡΒ»). ΠΠ΅ΡΠΎΠ΄ΠΈΠΊΠ° ΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ. ΠΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΡΠ½ΠΎΠ²ΠΎΠΉ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΡΠ°Π»ΠΎ Π²ΡΡΠ²Π»Π΅Π½ΠΈΠ΅ ΠΎΠ±ΡΠ΅ΠΌΠ° Π·Π°ΠΏΠΎΠΌΠ½Π΅Π½Π½ΠΎΠΉ ΠΈ Π²ΠΎΡΠΏΡΠΎΠΈΠ·Π²Π΅Π΄Π΅Π½Π½ΠΎΠΉ ΡΡΡΡΠΊΠΎΠΉ ΠΏΡΠΎΡΠ΅ΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΎΠΉ Π»Π΅ΠΊΡΠΈΠΊΠΈ ΠΈΠ½ΠΎΡΡΡΠ°Π½Π½ΡΠΌΠΈ ΡΡΡΠ΄Π΅Π½ΡΠ°ΠΌΠΈ Π² Ρ
ΠΎΠ΄Π΅ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΠ΅Π΄Π°Π³ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠ°Ρ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡ Ρ ΠΌΠ½Π΅ΠΌΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΠΏΡΠΈΠ΅ΠΌΠ°ΠΌΠΈ Π±ΡΠ»Π° Π²Π½Π΅Π΄ΡΠ΅Π½Π° Π°Π²ΡΠΎΡΠΎΠΌ Π½Π° Π·Π°Π½ΡΡΠΈΡΡ
Ρ ΠΈΠ½ΠΎΡΡΡΠ°Π½Π½ΡΠΌΠΈ ΡΡΡΠ΄Π΅Π½ΡΠ°ΠΌΠΈ ΠΈΠ· Π°ΡΠ°Π±ΡΠΊΠΈΡ
ΡΡΡΠ°Π½ 2βββ4 ΠΊΡΡΡΠΎΠ² ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΎΠ³ΠΎ ΡΠ°ΠΊΡΠ»ΡΡΠ΅ΡΠ° Π£Π»ΡΡΠ½ΠΎΠ²ΡΠΊΠΎΠ³ΠΎ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΡΠ½ΠΈΠ²Π΅ΡΡΠΈΡΠ΅ΡΠ°, ΠΎΠ±ΡΡΠ°ΡΡΠΈΡ
ΡΡ ΠΏΠΎ ΡΠΏΠ΅ΡΠΈΠ°Π»ΡΠ½ΠΎΡΡΠΈ Β«ΠΠ΅ΡΠ΅Π±Π½ΠΎΠ΅ Π΄Π΅Π»ΠΎΒ». ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ, ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π½ΡΠ΅ Ρ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΠΎΠΉ ΠΈ ΠΊΠΎΠ½ΡΡΠΎΠ»ΡΠ½ΠΎΠΉ Π³ΡΡΠΏΠΏΠ°ΠΌΠΈ ΡΡΡΠ΄Π΅Π½ΡΠΎΠ², ΠΏΠΎΡΠ»Π΅ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ Π°Π²ΡΠΎΡΡΠΊΠΎΠΉ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ: Π² ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΠΎΠΉ Π³ΡΡΠΏΠΏΠ΅ ΠΎΠ±ΡΠ΅ΠΌ Π²ΠΎΡΠΏΡΠΎΠΈΠ·Π²Π΅Π΄Π΅Π½Π½ΠΎΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ β 71β% ΠΎΡ ΠΈΠ·ΡΡΠ΅Π½Π½ΠΎΠ³ΠΎ ΠΎΠ±ΡΠ΅ΠΌΠ° ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ, Π° Π² ΠΊΠΎΠ½ΡΡΠΎΠ»ΡΠ½ΠΎΠΉ β Π²ΡΠ΅Π³ΠΎ 42β%, ΡΡΠΎ ΡΠ²ΠΈΠ΄Π΅ΡΠ΅Π»ΡΡΡΠ²ΡΠ΅Ρ ΠΎ Π²ΡΡΠΎΠΊΠΎΠΉ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½ΠΎΠΉ ΠΏΠ΅Π΄Π°Π³ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ. ΠΡΠ²ΠΎΠ΄Ρ. ΠΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠ°Ρ Π·Π½Π°ΡΠΈΠΌΠΎΡΡΡ ΡΠ°Π±ΠΎΡΡ ΡΠΎΡΡΠΎΠΈΡ Π² ΡΠΎΠΌ, ΡΡΠΎ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½Π°Ρ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡ Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎ ΡΡΠΊΠΎΡΡΠ΅Ρ Π·Π°ΠΏΠΎΠΌΠΈΠ½Π°Π½ΠΈΠ΅ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΎΠΉ Π»Π΅ΠΊΡΠΈΠΊΠΈ ΠΈΠ½ΠΎΡΡΡΠ°Π½Π½ΡΠΌΠΈ ΡΡΡΠ΄Π΅Π½ΡΠ°ΠΌΠΈ ΠΈ ΠΌΠΎΠΆΠ΅Ρ Π±ΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Π° Π½Π° Π·Π°Π½ΡΡΠΈΡΡ
ΡΡΡΡΠΊΠΎΠ³ΠΎ ΡΠ·ΡΠΊΠ° ΠΊΠ°ΠΊ ΠΈΠ½ΠΎΡΡΡΠ°Π½Π½ΠΎΠ³ΠΎ Π½Π° ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΈΡ
ΡΠ°ΠΊΡΠ»ΡΡΠ΅ΡΠ°Ρ
ΡΠΎΡΡΠΈΠΉΡΠΊΠΈΡ
Π²ΡΠ·ΠΎΠ²
The development of a generic systems-level model for combustion-based domestic cogeneration
The provision of heat and power to dwellings from micro-cogeneration systems is gaining credence around the developed world as a possible means to reduce the significant carbon emissions associated with the domestic sector. However, achieving the optimum performance for these systems requires that building design practitioners are equipped with robust, integrated models, which will provide a realistic picture of the cogeneration performance in-situ. A long established and appropriate means to evaluate the energy performance of buildings and their energy systems is through the use of dynamic building simulation tools. However, until now, only a very limited number of micro-cogeneration device models have been available to the modelling community and generally these have not been appropriate for use within building simulation codes. This paper describes work undertaken within the International Energy Agency's Energy Conservation in Building and Community Systems Annex 42 to address this problem through the development of a generic, combustion based cogeneration device model that is suitable for integration within building simulation tools and can be used to simulate the variety of Internal Combustion Engine (ICE) and Stirling Engine (SE) cogeneration devices that are and will be available for integration into dwellings. The model is described in detail along with details of how it has been integrated into the ESP-r, Energy Plus and TRNSYS simulation platforms
Specifications for modelling fuel cell and combustion-based residential cogeneration device within whole-building simulation programs
This document contains the specifications for a series of residential cogeneration device models developed within IEA/ECBCS Annex 42. The devices covered are: solid oxide and polymer exchange membrane fuel cells (SOFC and PEM), and internal combustion and Stirling engine units (ICE and SE). These models have been developed for use within whole-building simulation programs and one or more of the models described herein have been integrated into the following simulation packages: ESP-r, EnergyPlus, TRNSYS and IDA-ICE. The models have been designed to predict the energy performance of cogeneration devices when integrated into a residential building (dwelling). The models account for thermal performance (dynamic thermal performance in the case of the combustion engine models), electrochemical and combustion reactions where appropriate, along with electrical power output. All of the devices are modelled at levels of detail appropriate for whole-building simulation tools
Static Analysis of Functional Programs
In this paper, the static analysis of programs in the functional programming language Miranda* is described based on two graph models. A new control-flow graph model of Miranda definitions is presented, and a model with four classes of callgraphs. Standard software metrics are applicable to these models. A Miranda front end for Prometrix, ΒΏ, a tool for the automated analysis of flowgraphs and callgraphs, has been developed. This front end produces the flowgraph and callgraph representations of Miranda programs. Some features of the metric analyser are illustrated with an example program. The tool provides a promising access to standard metrics on functional programs
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The long-standing debate over whether to centralize or decentralize computing is examined in terms of the fundamental organizational and economic factors at stake. The traditional debate is examined and found to focus predominantly on issues of efficiency vs. effectiveness, with solutions based on a rationalistic strategy of optimizing in this tradeoff. A more behavioralistic assessment suggests that the driving issues in the debate are the politics of organization and resources, centering on the issue of control. The economics of computing deployment decisions is presented as an important issue, but one that often serves as a field of argument that is based on more political concerns. The current situation facing managers of computing, given the advent of small and comparatively inexpensive computers, is examined in detail, and a set of management options for dealing with this persistent issue is presented
Intelligent Packaging Systems: Sensors and Nanosensors to Monitor Food Quality and Safety
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Silicon utopias: the making of a tech startuo ecosystem in Manchester (UK)
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Utilization of Media-Driven Technology for Health Promotion and Risk Reduction among American Indian and Alaska Native Young Adults: An Exploratory Study
Across the developmental spectrum, American Indian and Alaska Native (AI/AN) adolescents and young adults experience considerable behavioral and mental health disparities, including substance abuse, depression, and engagement in sexual behaviors which enhance risk of pregnancy and sexually transmitted infections. Health-focused interventions utilizing digital and media technology hold significant promise among tribal communities, as they have the capacity to eliminate geography-based barriers. Utilizing a sample of 210 self-identified AI/AN students attending tribal colleges, this study identified the most effective technologies and intervention strategies, as well as health seeking patterns and preferences, which may impact implementation and sustainable use in tribal settings. The use of technology was both diverse and pervasive among AI/AN young adults, mirroring or exceeding patterns of young adults from the broader population. These data suggest that technology-based interventions may effectively deliver information, resources, and behavior change tools to AI/AN young adults, particularly when reflecting their unique worldviews and social contexts
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