62 research outputs found

    Featured Collectives: Myanmar Street Photographers Debut - Invisible Photographer Asia

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    aung-pyae-soe_sagaing_mandalay_myanmar_2015_02 Myanmar’s first organised group of Street Photographers will debut their exhibition and photobook titled ‘Featured Collectives’ at Myanmar Deitta in the country’s capital Yangon on 17th September 2016. Featured photographers include: Aung Khant, Aung Zaw Myo, Chan Nyein Aung, Chit Min Maung, Hein Htet, Lamin Oo, Min Zayar, Moe Myint San, Myat Thu, Naing Lin Soe, Nyein Su Wai Kyaw Soe, Phyo Hein Kyaw, Phyo Thiha, Sai Aung Main, Thant Zaw, Thet Hto..

    Development of Leucaena Mimosine-Degrading Bacteria in the Rumen of Sheep in Myanmar

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    Myanmar has an agricultural base, and about 70% of people reside in rural areas. They depend for survival on agriculture and small-scale crop production, with ruminant livestock consuming fibrous agricultural residues. For optimal ruminant production, concentrates are needed as supplements to these residues. As concentrates are expensive, researchers are testing alternative protein sources like legumes, including foliage from leguminous trees such as leucaena (Leucaena leucocephala). Leucaena is the most widely used leguminous tree as a ruminant feed because it is rich in protein (~ 22%) and contains easily digestible fibre (23% neutral detergent fibre, 16.6% acid detergent fibre; Ni Ni Maw 2004). Khin Htay Myint (2005) noted that 25% of leucaena in the ration tended to increase nitrogen retention without decreasing dry matter and organic matter digestibilities. However, leucaena leaves contain a toxic non-protein amino acid, called mimosine. Research workers have endeavoured to reduce mimosine toxicity in animals fed leucaena in Myanmar (Aung Aung 2007, Wink Phyo Thu 2010) and one avenue of research was the development of mimosine-degrading bacteria in the rumen of sheep fed leucaena. In this paper we describe an experiment tracing the development of mimosine-degrading bacteria in the rumen of sheep

    Analysis on Modeling and Simulink of DC Motor and its Driving System Used for Wheeled Mobile Robot

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    Wheeled Mobile Robots (WMRs) are built with their Wheels- drive machine, Motors. Depend on their desire design of WMR, Technicians made used of DC Motors for motion control. In this paper, the author would like to analyze how to choose DC motor to be balance with their applications of especially for WMR. Specification of DC Motor that can be used with desire WMR is to be determined by using MATLAB Simulink model. Therefore, this paper is mainly focus on software application of MATLAB and Control Technology. As the driving system of DC motor, a Peripheral Interface Controller (PIC) based control system is designed including the assembly software technology and H-bridge control circuit. This Driving system is used to drive two DC gear motors which are used to control the motion of WMR. In this analyzing process, the author mainly focus the drive system on driving two DC gear motors that will control with Differential Drive technique to the Wheeled Mobile Robot . For the design analysis of Motor Driving System, PIC16F84A is used and five inputs of sensors detected data are tested with five ON/OFF switches. The outputs of PIC are the commands to drive two DC gear motors, inputs of Hbridge circuit .In this paper, Control techniques of PIC microcontroller and H-bridge circuit, Mechanism assignments of WMR are combined and analyzed by mainly focusing with the "Modeling and Simulink of DC Motor using MATLAB"

    Data from: Genetic diversity, population structure and phylogeography of Myanmar goats

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    The diversity of goats in Myanmar is represented by three indigenous breeds, Jade Ni, Nyaung Oo and Waithar Li. This study aimed at characterizing the genetic diversity and relationship of Myanmar goat breeds using microsatellite and mitochondrial DNA variations. A total of 147 goats from all three indigenous breeds were genotyped at 27 microsatellite loci. Genetic diversity in terms of allelic polymorphisms, observed and expected heterozygosities were moderately high. The mean observed heterozygosity within breeds varied between 0.566 ± 0.183 (Nyaung Oo) and 0.595 ± 0.182 (Waithar Li) while the expected heterozygosity varied from 0.605 ± 0.181 (Jade Ni) to 0.647 ± 0.176 (Waithar Li). Considerable heterozygosity deficit ranging from 5.5% to 8.2% was observed in Myanmar goat breeds. Wright’s F statistics revealed most of the variations within breeds and only 1.9% of the total observed variation was explained by between breed differences. Principal components and Bayesian clustering analyses showed complete admixture of Nyaung Oo and Waithar Li goats indicating high rate of gene flow among these populations. Population stratification was observed in Jade Ni with a subset of individuals clustering distinctly. Variations in mitochondrial DNA control region revealed 22 distinct haplotypes belonging to two major haplogroups A and B. Haplogroup A was found to predominate Myanmar goats similar to other goat populations in Asia. Comparative analysis of mtDNA variations indicated possible Chinese origin of the maternal haplotypic lineages of Myanmar goats

    Allele count and Allele frequency data at 27 microsatellite marker loci in three breeds of Myanmar goats

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    The file consists of two sheets; First sheet contains allele count data at 27 microsatellite marker loci in three breeds of Myanmar goats, Jade Ni (JNI), Nyaung Oo (NYO) and Waithar Li (WTL). Second sheet contains allele frequency data at 27 microsatellite marker loci in three breeds of Myanmar goats, Jade Ni (JNI), Nyaung Oo (NYO) and Waithar Li (WTL)

    Project Participants database of Fish for Livelihoods Activity

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    It includes the townships where F4L Activity has intervened, the participants participated in the Activity, the participants household members and their socioeconomic status and their ponds' areas. The dataset is not about the survey respondents and rather it is the beneficiary list of the "Fish for Livelihoods" project
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