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Biotechnology and Polymers Most Chemically Synthesized Polymers are not Biodegradable, such as PE, PP, PS and PET While most Biologically Synthesized Polymers are Biodegradable, such as Proteins, Cellulose, Glycan The most Notable Biopolymers with Properties Similar to Thermoplastics are: Polyhydroxyalkanoates or PHA
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Flowsheet for developing an industrial microbial fermentation process Strain selection Laboratory process development Pilot Scale up Industrial Scale up Downstream process development Product packaging techniques Other commercial consideration Examples
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Chapter 5 Macromolecules and Molecular Genetics DNA Replication Complementary base pairing Semiconservative Template and primer From 5'-phosphate to the 3'-hydroxyl end DNA polymerase and ligase A short stretch of RNA serves as primer Primase: a specific RNA-polymerizing enzyme
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Arrangement of DNA in Prokaryotes Vertebrates Algae Fungi Free-living prokaryotes Obligately parasitic Bacteria Chloroplasts Nudleod Mitochondria Viruses
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Peptidoglycan Synthesis Transport of peptidoglycan precursors across the cytoplasmic. membrane to the growing point of the cell wall Outside Peptidoglycan Growing point of cell wall
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Cell Biology Tool for studying microbiology: Microscopes and Microscopy Microscope: (a) Bright-field (b) Phase contrast (c) Dark-field (d) Fluorescence
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Chapter 4 Metabolism, Biosynthesis and Nutrition Microbial Nutrition Laboratory Culture of Microorganisms Sterilization. Aseptic Technique, and Pure Cultures
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Course Description Text (required) TCP/IP Protocol Suite, 2nd edition, Behrouz A. Forouzan. Mc Graw-Hill 2003. · Supplementary Texts Internetworking with TCP/IP, Volume 3: Client-Server Programming and Application, Linux-POSIX Sockets Version
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Testing for a Fractional Unit Root in Time Series Regression Chingnun Lee, Tzu-Hsiang Liao2 and Fu-Shuen Shie Inst. of Economics, National Sun Yat-sen Univ Kaohsiung, Taiwan Dept. of Finance, National Central Univ, Chung-Li, Taiwan
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Ch. 9 Heteroscedasticity Regression disturbances whose variance are not constant across observations are heteroscedastic. In the heteroscedastic model we assume that
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