33 research outputs found

    āļāļēāļĢāļ§āļīāđ€āļ„āļĢāļēāļ°āļŦāđŒāļ­āļ‡āļ„āđŒāļ›āļĢāļ°āļāļ­āļšāđ€āļŠāļīāļ‡āļŠāļģāļĢāļ§āļˆāļŠāļĄāļĢāļĢāļ–āļ™āļ°āļœāļđāđ‰āļˆāļąāļ”āļāļēāļĢāļ„āļ§āļēāļĄāļĢāļđāđ‰ āđƒāļ™āļāļēāļĢāđ€āļ‚āđ‰āļēāļŠāļđāđˆāļ­āļļāļ•āļŠāļēāļŦāļāļĢāļĢāļĄ 4.0 āļ‚āļ­āļ‡āļŠāļ–āļēāļšāļąāļ™āļ­āļļāļ”āļĄāļĻāļķāļāļĐāļē Exploratory factor analysis on the competency of knowledge managers towards industry 4.0 of higher education institutes

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    āļšāļ—āļ„āļąāļ”āļĒāđˆāļ­āļāļēāļĢāļ§āļīāļˆāļąāļĒāļ„āļĢāļąāđ‰āļ‡āļ™āļĩāđ‰āļĄāļĩāļ§āļąāļ•āļ–āļļāļ›āļĢāļ°āļŠāļ‡āļ„āđŒāđ€āļžāļ·āđˆāļ­āļ§āļīāđ€āļ„āļĢāļēāļ°āļŦāđŒāļ­āļ‡āļ„āđŒāļ›āļĢāļ°āļāļ­āļšāļ‚āļ­āļ‡āļŠāļĄāļĢāļĢāļ–āļ™āļ°āļœāļđāđ‰āļˆāļąāļ”āļāļēāļĢāļ„āļ§āļēāļĄāļĢāļđāđ‰āđƒāļ™āļāļēāļĢāđ€āļ‚āđ‰āļēāļŠāļđāđˆāļ­āļļāļ•āļŠāļēāļŦāļāļĢāļĢāļĄ 4.0 āļ‚āļ­āļ‡āļŠāļ–āļēāļšāļąāļ™āļ­āļļāļ”āļĄāļĻāļķāļāļĐāļēāļāļĨāļļāđˆāļĄāđ€āļ—āļ„āđ‚āļ™āđ‚āļĨāļĒāļĩāļžāļĢāļ°āļˆāļ­āļĄāđ€āļāļĨāđ‰āļē āļāļĨāļļāđˆāļĄāļ•āļąāļ§āļ­āļĒāđˆāļēāļ‡āļ—āļĩāđˆāđƒāļŠāđ‰āđƒāļ™āļāļēāļĢāļ§āļīāļˆāļąāļĒāļ„āļĢāļąāđ‰āļ‡āļ™āļĩāđ‰ āļ„āļ·āļ­ āļœāļđāđ‰āļšāļĢāļīāļŦāļēāļĢāļŦāļĢāļ·āļ­āļœāļđāđ‰āļ—āļĩāđˆāđ„āļ”āđ‰āļĢāļąāļšāļĄāļ­āļšāļŦāļĄāļēāļĒāđƒāļŦāđ‰āļ”āļģāđ€āļ™āļīāļ™āļāļēāļĢāļˆāļąāļ”āļāļēāļĢāļ„āļ§āļēāļĄāļĢāļđāđ‰ āļŦāļĢāļ·āļ­āļœāļđāđ‰āđ€āļ‚āđ‰āļēāļĢāđˆāļ§āļĄāļāļīāļˆāļāļĢāļĢāļĄāļāļēāļĢāļˆāļąāļ”āļāļēāļĢāļ„āļ§āļēāļĄāļĢāļđāđ‰āļ‚āļ­āļ‡āļŠāļ–āļēāļšāļąāļ™āļ­āļļāļ”āļĄāļĻāļķāļāļĐāļē āļāļĨāļļāđˆāļĄāđ€āļ—āļ„āđ‚āļ™āđ‚āļĨāļĒāļĩāļžāļĢāļ°āļˆāļ­āļĄāđ€āļāļĨāđ‰āļē āđ„āļ”āđ‰āđāļāđˆ āļĄāļŦāļēāļ§āļīāļ—āļĒāļēāļĨāļąāļĒāđ€āļ—āļ„āđ‚āļ™āđ‚āļĨāļĒāļĩāļžāļĢāļ°āļˆāļ­āļĄāđ€āļāļĨāđ‰āļēāļžāļĢāļ°āļ™āļ„āļĢāđ€āļŦāļ™āļ·āļ­ āļĄāļŦāļēāļ§āļīāļ—āļĒāļēāļĨāļąāļĒāđ€āļ—āļ„āđ‚āļ™āđ‚āļĨāļĒāļĩ āļžāļĢāļ°āļˆāļ­āļĄāđ€āļāļĨāđ‰āļēāļ˜āļ™āļšāļļāļĢāļĩ āđāļĨāļ°āļŠāļ–āļēāļšāļąāļ™āđ€āļ—āļ„āđ‚āļ™āđ‚āļĨāļĒāļĩāļžāļĢāļ°āļˆāļ­āļĄāđ€āļāļĨāđ‰āļēāđ€āļˆāđ‰āļēāļ„āļļāļ“āļ—āļŦāļēāļĢāļĨāļēāļ”āļāļĢāļ°āļšāļąāļ‡ āļˆāļģāļ™āļ§āļ™ 265 āļ„āļ™ āđ€āļ„āļĢāļ·āđˆāļ­āļ‡āļĄāļ·āļ­āļ—āļĩāđˆāđƒāļŠāđ‰āđƒāļ™āļ‡āļēāļ™āļ§āļīāļˆāļąāļĒ āđ„āļ”āđ‰āđāļāđˆ āđāļšāļšāļŠāļ­āļšāļ–āļēāļĄāļĄāļēāļ•āļĢāļēāļŠāđˆāļ§āļ™āļ›āļĢāļ°āļĄāļēāļ“āļ„āđˆāļē 5 āļĢāļ°āļ”āļąāļš āļŠāļ–āļīāļ•āļīāļ—āļĩāđˆāđƒāļŠāđ‰āđƒāļ™āļāļēāļĢāļ§āļīāđ€āļ„āļĢāļēāļ°āļŦāđŒāļ‚āđ‰āļ­āļĄāļđāļĨ āļ„āļ·āļ­ āļ„āđˆāļēāļĢāđ‰āļ­āļĒāļĨāļ° āļ„āđˆāļēāđ€āļ‰āļĨāļĩāđˆāļĒ āļ„āđˆāļēāđ€āļšāļĩāđˆāļĒāļ‡āđ€āļšāļ™āļĄāļēāļ•āļĢāļāļēāļ™ āđāļĨāļ°āļ§āļīāđ€āļ„āļĢāļēāļ°āļŦāđŒāļ­āļ‡āļ„āđŒāļ›āļĢāļ°āļāļ­āļšāđ€āļŠāļīāļ‡āļŠāļģāļĢāļ§āļˆ (exploratory factory analysis) āđ‚āļ”āļĒāļŠāļāļąāļ”āļ­āļ‡āļ„āđŒāļ›āļĢāļ°āļāļ­āļšāļ”āđ‰āļ§āļĒāđ€āļ—āļ„āļ™āļīāļ„āļ§āļīāļ˜āļĩāļ§āļīāđ€āļ„āļĢāļēāļ°āļŦāđŒāļ­āļ‡āļ„āđŒāļ›āļĢāļ°āļāļ­āļšāļŦāļĨāļąāļ (principle component analysis : PCA) āđāļĨāļ°āļŦāļĄāļļāļ™āđāļāļ™āļ”āđ‰āļ§āļĒāļ§āļīāļ˜āļĩāđāļ§āļĢāļīāđāļĄāļāļ‹āđŒ (Varimax Method) āļœāļĨāļāļēāļĢāļ§āļīāļˆāļąāļĒāļžāļšāļ§āđˆāļēāļĄāļĩ 12 āļ­āļ‡āļ„āđŒāļ›āļĢāļ°āļāļ­āļš āļ‹āļķāđˆāļ‡āļĄāļĩāļ„āđˆāļēāđ„āļ­āđ€āļāļ™āļ­āļĒāļđāđˆāļĢāļ°āļŦāļ§āđˆāļēāļ‡ 3.037-9.580 āļˆāļķāļ‡āđ„āļ”āđ‰āļŠāļĄāļĢāļĢāļ–āļ™āļ°āļœāļđāđ‰āļˆāļąāļ”āļāļēāļĢāļ„āļ§āļēāļĄāļĢāļđāđ‰āđƒāļ™āļāļēāļĢāđ€āļ‚āđ‰āļēāļŠāļđāđˆāļ­āļļāļ•āļŠāļēāļŦāļāļĢāļĢāļĄ 4.0 āļ‚āļ­āļ‡āļŠāļ–āļēāļšāļąāļ™āļ­āļļāļ”āļĄāļĻāļķāļāļĐāļēāļāļĨāļļāđˆāļĄāđ€āļ—āļ„āđ‚āļ™āđ‚āļĨāļĒāļĩāļžāļĢāļ°āļˆāļ­āļĄāđ€āļāļĨāđ‰āļē 12 āļ”āđ‰āļēāļ™AbstractThe purpose of this study was to analyze the exploratory factor analysis on the competency of knowledge managers towards industry 4.0 of King Mongkut’s higher education institutes. The sample group included 265 administrators or authorized representatives on the implementation of knowledge management or participants in the knowledge management activities from King Mongkut’s higher education institutes, i.e. King Mongkut’s University of Technology, North Bangkok, King Mongkut’s University of Technology, Thonburi, and King Mongkut’s Institute of Technology, Lad Krabang. The research instrument was a 5- level Likert Scale questionnaire. The descriptive research statistics included percentage, arithmetic mean, and standard deviation while the exploratory factor analysis was conducted through Principle Component Analysis (PCA) and varimax rotation method. The findings revealed that there were 12 factors with Eigen values between 3.037 and 9.580 resulting in competencies of knowledge managers towards industry 4.0 of King Mongkut’s higher education institutes

    Tectaria griffithii

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    Pteridophyte

    Pteridrys syrmatica

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    Pteridophyte

    DNA barcoding reveals a new record of Potamogeton distinctus (Potamogetonaceae) and its natural hybrids, P. distinctus × P. nodosus and P. distinctus × P. wrightii (P. ×malainoides) from Myanmar

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    Indo-China floristic region is among the 34 richest floristic regions of the world, and its plant diversity is still under investigation. Here we report a new record of an aquatic plant, Potamogeton distinctus, from Myanmar, a part of the region, that is detected by means of DNA barcoding method. The molecular method further identified the other specimens as hybrids of Potamogeton: one is P. ×malainoides (P. distinctus × P. wrightii), and the other is P. distinctus × P. nodosus. The first of these was thus far genetically confirmed in China, but the parental combination of the hybrid in Myanmar was reciprocal to those reported from China. The second hybrid was also recorded from China, but the maternal lineage was revealed for the first time, in this case it was P. distinctus. The present study showed that 1) nrITS is useful to distinguish closely related Potamogeton species as well as hybrids among them and 2) atpB-rbcL has higher utility than other frequently used plastid DNA markers. We thus propose nrITS and atpB-rbcL as DNA barcoding markers for future Potamogeton studies

    DNA barcoding reveals a new record of Potamogeton distinctus (Potamogetonaceae) and its natural hybrids, P. distinctus × P. nodosus and P. distinctus × P. wrightii (P. ×malainoides) from Myanmar

    No full text
    Indo-China floristic region is among the 34 richest floristic regions of the world, and its plant diversity is still under investigation. Here we report a new record of an aquatic plant, Potamogeton distinctus, from Myanmar, a part of the region, that is detected by means of DNA barcoding method. The molecular method further identified the other specimens as hybrids of Potamogeton: one is P. ×malainoides (P. distinctus × P. wrightii), and the other is P. distinctus × P. nodosus. The first of these was thus far genetically confirmed in China, but the parental combination of the hybrid in Myanmar was reciprocal to those reported from China. The second hybrid was also recorded from China, but the maternal lineage was revealed for the first time, in this case it was P. distinctus. The present study showed that 1) nrITS is useful to distinguish closely related Potamogeton species as well as hybrids among them and 2) atpB-rbcL has higher utility than other frequently used plastid DNA markers. We thus propose nrITS and atpB-rbcL as DNA barcoding markers for future Potamogeton studies

    Pteridrys syrmatica

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    Pteridophyte

    Tectaria singaporeana

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    Pteridophyte

    Cyperus trialatus

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    Angiosperm
    corecore