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Ilona OdzinaDYNAMIC MODEL <strong>OF</strong> BIOCHEMICAL NETWORK <strong>OF</strong> ZYMOMONASMOBILIS ADAPTATION FOR GLYCEROL CONVERSION INTO BIOETHANOLConclusions1. Results of simulated experiment to understandand predict that the cells and biological processesessential to reduce the number of laboratoryexperiments. Better results of the computermodel simulation results can pruf in laboratoryexperiments. This in turn reduces the necessaryfinancial resources and time, bio-medicalbiotechnology, pharmaceutical and environmentalproblems to be solved.2. Programm Copasi is user friendly interface tocreate the dynamic model. The dynamic model has22 reactions and 26 species.3. The dynamic model describes conversion ofglycerol into bioethanol in Z.mobilis bacterialcell. In this time simulation data of the computermodel are not to confirm laboratory experimentaldata. Simulation data of the computer model arenot correct, to prevent this problem is requiredparameter estimation in computer softwareCOPASI.AcknowledgementsThis study is supported by ESF project ‘LatvianInterdisciplinary Interuniversity Scientific Groupof Systems Biology’ /2009/0207/1DP/1.1.1.2.0/09/APIA/VIAA/128.References1. Altintas M.M., Eddy C.K., Zhang M., McMillan J.D., Kompala D.S. (2006) Kinetic Modeling to OptimizePentose Fermentation in Zymomonas mobilis. Botechnology and Bioengineering Vol.94, No. 2, pp. 23.2. BRENDA enzyms data base (2012) Available at: http://www.brenda-enzymes.org/, 10 October 2012.3. Copasi User manual (2011) Available at: http://www.copasi.org/tiki-index.php?page=OD.Events&structure=OD, 10 March 2012.4. Hucka M. (2003) The systems biology markup language (SBML): a medium for representation andexchange of biochemical network models. Bioinformatics 19, pp. 524–531.5. KEGG Kyoto Encyclopedia of Genes and Genomes (1995-2012) Available at: http://www.genome.jp/kegg/, 10 October 2012.6. Odziņa I., Rubina T., Rutkis R., Kalnenieks U., Stalidzans E. (2010) Structural Model of biochemicalnetwork of Zymomonas mobilis adaptation for glycerol conversion into bioethanol. 4-th internationalscientific conference “Applied Information and Communication Technologies 2010”, Jelgava, LLU, CD,pp. 50–54.7. Odziņa I., Rutkis R., Kalnenieks U. (2011) In silico engineering of biochemical network of Zymomonasmobilis adaption for Glycerol conversion into Bioethanol. 10 th International Scientific Conference„Engineering for rural development”, proceedings, Volume 10, Jelgava, LLU, pp. 272–275.8. SABIO-RK - reactions, kinetic parameter (2012) Available at: http://sabio.villa-bosch.de/index2.jsp, 10October 2012.Research for Rural Development 2012237
EDUCATIONAL SCIENCESCHILDREN WITH SPECIAL NEEDS FAMILY EDUCATION AS A PARTNERSHIPCOMPREHENSION IN RURAL AREAIveta Kokle-NarbutaLatvia University of Agriculturee-mail: ivetakokle@inbox.lvAbstractFamily education as a support to families where children are with special needs is mentioned in family politicsstatements. Unfortunately, family education problems in rural areas characterise present day situation in Latvia.Professionals with less specific knowledge essential to deal with special needs satisfaction is a reality in rural areas inLatvia. It is vital to advance family autonomy, develop an opportunity to deal with consequences that disabilities causeand, improve environmental conditions for children with special needs. The aim of this article is to fortify necessityof family education as a partnership comprehension development to children with special needs in rural area. Theinvestigation was carried out in National Rehabilitation centre ”Vaivari” in April 2012, by involving families withchildren with special needs. Analysis of scientific resources has been done; survey and statistical analysis of data werecarried out, by using non-parametric method - Mann Whitney U test. During the research, the main family educationcomprehension aspects to families living in rural or city area and having children with special needs are identified.The advantages in special needs satisfaction context in rural areas and city environment are analysed. Measurementsof respondent attitude to innovative family education e-solutions are made. Objectively and subjectively determinedsocial isolation risk of families having children with special needs in rural area show the necessity to use familyresources related to consequences that disabilities create. It is necessary to develop ways to use modern technologicalopportunities, provide appropriate family education and partnership with professionals.Key words: children with special needs, family education, partnership, rural area.IntroductionThe education in a globalised knowledge societyhas become a process with comprehension not limitedto analysis of formal education. Today educationis related to fields of human life that are viewed asan economical and national existence base in theindustrial societies, for example, work and family.Work meaning reproduction of available resourcesthat was observed in previous centuries, today putsforward a demand of excellence that declares anecessity for educated employees and organisationsthat are ready to change. The family whose historicalinput over the centuries was to provide patriarchalhereditary rights, in the 21 st century from unitaryconcept is transformed in alternative and evenambivalent existence justifications that points tocrisis and development (Darling and Turkki, 2009).Searching the developmental opportunities as aninstrument, education today is related to familyexistence for two significant aspects: collaborationnecessary in order to merge work with family lifeand liberal statements based on the family value thatis revaluated from which present families as a selforganisedsystem idea results. This assumption deniesthe vertical hierarchies axis in family and professionalrelationships and introduces a mutually responsiblepartnership principle. The family becomes a researchobject and subject. The family that is able to learn is afuture paradigm and also today’s paradigm – learningability paradigm.The family functionality that is the base ofwider society development differs in various cultureenvironments (Beveridge, 2005). The city and ruralareas (the countryside) are different environmentsdue to recourse differences and capacity, but both ofthem are necessary components in a common societydevelopmental structure.Also, the family functionality establishes asatisfaction with family internal needs – standardisedor special benefits. The children with special needshave an influence on family functionality if waysto compensate or creatively overtake the objectivephysical and mental limitations are not found.Those families having children with specialneeds that live in rural areas are subjected to longeradaptation process than families living in cities. Care,medicine, rehabilitation, social benefits, education andenvironmental accessibility barriers are one part ofdifficulties to these families. Although in 1999 in StateFamily Principles support for families with childrenwith special needs, an action platform for developmentof institutional family support mechanism wasformulated, there are still uncertainties betweenstate and local authorities support administration(Koncepcija valsts atbalsts..., 1999). The familypolitics that is reflected in State Family Principlesreflects a discrepancy for local authorities to supportfamilies with children with functional disabilities,training and consulting and lack of accessible benefitsfor those living outside cities (Ģimenes valsts politikaspamatnostādnes, 2011).In Latvia, support for families having childrenwith special needs is treated as a social help orenvironmental availability improvements, ignoringthe family educational necessity aspect. There is lackof political platform for debates on family education.238 Research for Rural Development 2012
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Volume No. 1Annual 18th Internation
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Research for Rural Development 2012
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ContentsFOOD SCIENCESVETERINARYMEDI
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AGRICULTURAL SCIENCES (CROP SCIENCE
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Mihails Vilcāns, Jūlija Volkova,
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Mihails Vilcāns, Jūlija Volkova,
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Berit TeinEFFECT OF ORGANIC AND CON
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Methane producing bacteria use only
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according to calculations the metha
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CHANGES IN SUGAR CONTENT OF WINTERO
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PERENNIAL GRASSES FOR BIOENERGY PRO
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IMPACT OF SLURRY APPLICATION METHOD
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IMPACT OF SLURRY APPLICATION METHOD
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IMPACT OF ORGANIC PRODUCT EXTRACTS
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IMPACT OF ORGANIC PRODUCT EXTRACTS
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COMBUSTION ABILITY OF ENERGY CROP P
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COMBUSTION ABILITY OF ENERGY CROP P
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RESEARCH OF OREGANO (ORIGANUMVULGAR
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RESEARCH OF OREGANO (ORIGANUMVULGAR
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INFLUENCE OF SOIL MODIFICATION ON C
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INCIDENCE OF POSTHARVEST ROT OF CRA
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INCIDENCE OF POSTHARVEST ROT OF CRA
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PERSPECTIVES ON TRUFFLE CULTIVATION
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FACTORS AFFECTING GOAT MILK YIELDAN
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MILK UREA CONTENT AS INDICATOR FEED
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REHYDRATION KINETICS OF DRIED LATVI
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FOOD SCIENCESPreliminary RESULTS of
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PRELIMINARY RESULTS OF 1-METHYLCYCL
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FOOD SCIENCESSensory PROPERTIES and
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SENSORY PROPERTIES AND CHEMICAL COM
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THE SUITABILITY OF DIFFERENT ROWANB
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CHEMICAL COMPOSITION OF NEW TYPE AG
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FOOD SCIENCESINFLUENCE OF GENOTYPE
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INFLUENCE OF GENOTYPE AND HARVEST T
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ROOT VEGETABLES FROM LATVIA:QUANTIT
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CONTENT OF SUGARS, DIETARY FIBRE AN
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RHEOLOGICAL PROPERTIES OF TRITICALE
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acceptance and preference especiall
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CONSUMERS’ ATTITUDE TOWARDS AVAIL
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CONSUMERS’ ATTITUDE TOWARDS AVAIL
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PHYSICAL - CHEMICAL CHARACTERIZATIO
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PHYSICAL - CHEMICAL CHARACTERIZATIO
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FOOD SCIENCESTHE INFLUENCE OF DIFFE
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THE INFLUENCE OF DIFFERENT SELENIUM
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FOOD SCIENCESINVESTIGATIONS INTO TH
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INVESTIGATIONS INTO THE ENHANCEMENT
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INFLUENCE OF PACKAGING CONDITIONSON
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INFLUENCE OF PACKAGING CONDITIONSON
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FOOD SCIENCESFATTY ACID COMPOSITION
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FATTY ACID COMPOSITION OF THE MEAT
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FATTY ACID COMPOSITION OF THE MEAT
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ANTIMICROBIAL RESISTANCE OFANIMAL P
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ANTIMICROBIAL RESISTANCE OFANIMAL P
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Page 189 and 190: VETERINARY MEDICINETHE SURVIVAL OF
Page 191 and 192: THE SURVIVAL OF LISTERIA MONOCYTOGE
Page 197 and 198: VETERINARY MEDICINEMicrobiological
Page 199 and 200: MICROBIOLOGICAL QUALITY OF COWS’
Page 205 and 206: PORCINE CIRCOVIRUS-2 IMPACT ON THEM
Page 213 and 214: AORTIC LUMEN DIAMETER AND BLOODPRES
Page 219 and 220: PHYSICAL MODEL OF TRACTOR IMPLEMENT
Page 225 and 226: SOLID FUEL BOILER AUTOMATION FOR BR
Page 231 and 232: INVESTMENT COSTS OPTIMIZATION OFMUL
Page 233 and 234: INVESTMENT COSTS OPTIMIZATION OFMUL
Page 235 and 236: DYNAMIC MODEL OF BIOCHEMICAL NETWOR
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