Musa acuminata | | Scientific classification | Kingdom: | Plantae | Clade: | Angiosperms | Clade: | Monocots | Clade: | Commelinids | Order: | Zingiberales | Family: | Musaceae | Genus: | Musa | Species: | M. acuminata | Binomial name | Musa acuminata Colla‚ 1820 | Subspecies | See text | | Original native ranges of the ancestors of modern edible bananas. M. acuminata is shown in green and M. balbisiana in orange.[1] | Synonyms[2] | * Musa cavendishii Lamb
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FST3202 Food Microbiology 2012/2013-1 Lecture 1. Introduction to Food Microbiology Prof. Madya Dr. Yaya Rukayadi Department of Food Science Faculty of Food Science and Technology Universiti Putra Malaysia Wednesday‚ 12-09-2012 BKTM-2 (10.00 – 12.00) FST 3202 – Food Microbiology Semester : 1 (2012/2013) Program : Undergraduate Student (prasiswazah) Credits : 3 (2-1) Class : BKTM 2 – Food 1 Day/Time : Wednesday‚ 10.00 – 12.00 Pensyarah : Prof. Madya
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Classifying items into categories has been a key component of society for years. Objects or subjects that have been classified generally allow easier communication and can get a complex point across in a much simpler matter. Classification‚ however‚ is a double-edged sword. The different opinions that every person is entitled to means that some classifications will be disagreed with. How could you change the the way something is classified if you disagreed with it? The truth is you most likely cannot
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Anthropology Science of human cultural and biological variation and evolution Study of human biological and cultural difference across space and time Anthropos: man (Greek) Logos: word (Greek) Naming: building a knowledge off “Study of Man” Human Diversity/Differences Rigorous explanation of being human appreciation of many things Overlap with other fields Economics: accumulate wealth v. giving away wealth Different perspectives Biological and Cultural Differences Important
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OUTLINE: Introduction to Evolutionary Anthropology I- INTRODUCTION Anthropology is a holistic Science with five disciplines: 1- Socio-cultural anthropology: compare the human cultures and societies. 2- Linguistic and semiotic anthropology: focused on how language and other system of human communication contribute to reproduction‚ transmission and transformation of culture. 3- Archaeology: study of the material evidence of human activities in the past. 4- Medical anthropology: focuses on human
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Radical Expressions ) II. To solve a quadratic equation arranged in the form ax2+ bx=0. Strategy: To factor the binomial using the greatest common factor (GCF)‚ set the monomial factor and the binomial factor equal to zero‚ and solve. Ex. 2) 12x2- 18x=0 6x2x-3= 0 Factor using the GCF 6x=0 2x-3=0 Set the monomial and binomial equal to zero x=0 x= 32 Solutions * In some cases‚ the GCF is simply the variable with
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Agriculture= applied animal and plant sciences Horticulture= “garden cultivation” **“Icultures” olericulture= vegetables viticulture= grapes enology= wine and wine making floriculture= flowers arboriculture= urban trees pomology= fruit Top Sellers: Fruit= grapes (wine‚ juices) Vegetables= Irish potatoes (chips‚ fries) In the world of horticulture‚ California is the number one grower Georgia horticulture: **first in greens and pecans third in blueberries fourth in fresh vegetable production
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bipyramidal crystals of Bacillus thuringiensis morrisoni strain T08025 Scientific classification Kingdom: Eubacteria Phylum: Firmicutes Class: Bacilli Order: Bacillales Family: Bacillaceae Genus: Bacillus Species: thuringiensis Binomial name Bacillus thuringiensis Berliner 1915 Contents Introduction Use in pest control Genetic engineering for pest control Usage Advantages Safety Limitations to Bt crops Possible problems Introduction Bacillus thuringiensis
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Mathematical Modelling 2 Week 3: Discrete Random Variables Stephen Bush Department of Mathematical Sciences MM2: Statistics - Week 3 - 1 Random Variables • Reference: Devore § 3.1 – 3.5 • Definitions: • An experiment is any process of obtaining one outcome where the outcome is uncertain. • A random variable is a numerical variable whose value can change from one replicate of the experiment to another. • Sample means and sample standard deviations are random variables • They
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NUMBER SYSTEM Definition It defines how a number can be represented using distinct symbols. A number can be represented differently in different systems‚ for instance the two number systems (2A) base 16 and (52) base 8 both refer to the same quantity though the representations are different. When we type some letters or words‚ the computer translates them in numbers as computers can understand only numbers. A computer can understand positional number system where there are only a few symbols
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