certain circumstances. Thus‚ in the case of Michael Smyth‚ he himself was emailing his supervisor; it wasn’t personal‚ it was for the ordinary-course-of-business. Therefore‚ the employer did not violate and privacy and Smyth is not entitled to reinstatement. However‚ he is entitled‚ whether discharged for cause or not‚ his wages to the “expiration of the last pay period.” Also‚ some payment for vacation and certain bonuses‚ any which are considered wages under state statues. 3.) This case involves
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Unfinished Business: Appeal update - Abdur Rehman Asif Stanley provided the TEC members with an update regarding Ms. Sarah Simmons’ appeal for reinstatement into the TE program. Based on the additional information that was provided to the Appeals Committee‚ including documentation of a 2.5 GPA‚ the TEC approved Ms. Simmons’ reinstatement allowing her to enroll in EDN 455. 4. Report from the Policy Committee: Yosuf Ibrahim Dr. Sharon Sharp presented the following four policy
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curve of Pantoprazole in HCL buffer 9.2 Evaluation of floating microspheres: 9.2.1. Percentage Yield: Table 9.3 Practical yield of Pantoprazole floating microspheres Formulation code Practical yield (mg) Theoretical yield (mg) Percentage yield (%) F1 400 650 61.55±2.67 F2 450 700 65.71±1.26 F3 500 750 66.66±1.16 F4 550 800 72.5±2.36 F5 650 850
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NON-ASSOCIATIVE LEARNING Non-associative learning (Single-event learning) is a change in behavior due to repeatedly exposure to a single event and does not involve learning of a relationship between multiple events. It is contrasted with associative learning (e.g. classical conditioning or operant conditioning) that involves learning the associations between different events. WHAT IS HABITUATION? Habituation is the decrease of a response to a repeated eliciting stimulus that is not due to sensory
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a. None of the parental (P) plants were true-breeding. b. All of the F2 progeny showed a phenotype that was intermediate between the two parental (P) phenotypes. c. Half of the F1 progeny had the same phenotype as one of the parental (P) plants‚ and the other half had the same phenotype as the other parent. d. All of the F1 progeny resembled one of the parental (P) plants‚ but only some of the F2 progeny did. e. none of the above 4. What is the difference between a monohybrid cross and a dihybrid
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The resources‚ capabilities and attributes that are required for the success in Formula One (F1) can be looked on a number of dimensions taking into consideration the unique and fast paced context of Formula One. F1 is a highly competitive industry and based in a rapidly changing environment‚ which has been defined by Porter’s five forces (Appendix One). Key resources within F1 are both tangible and intangible and can be considered under the following broad categories: Physical Resources: The car
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Introduction In physics we must distinguish between vector quantities and scalar quantities. Vectors are quantity that has both magnitude and direction. It is typically represented by an arrow whose direction is the same as that of the quantity and whose length is proportional to the quantity’s magnitude. Although a vector has magnitude and direction‚ it does not have position. That is‚ as long as its length is not changed‚ a vector is not altered if it is displaced parallel to itself. In contrast
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the rosette form is shorter and takes longer to flower. The mode of inheritance of the rosette gene was tested by crossing two true-breeding plants‚ one of each form. The F1 generation was then cross-pollinated to produce an F2 generation. The phenotypes of each generation were recorded and a chi-square test was performed. The F1 offspring were almost entirely standard form‚ and the F2 followed the Mendelian ratio of three standard to one rosette. This supported the idea that the rosette allele is
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function values near x=0. To do this we start out using the lowest order polynomial‚ f0(x)=a0‚ that passes through the y-intercept of the graph (0‚f(0)). So f(0)=ao. Next‚ we see that the graph of f1(x)= a0 + a1x will also pass through x= 0‚ and will have the same slope as f(x) if we let a0=f1(0). Now‚ if we want to get a better polynomial approximation for this function‚ which we do of course‚ we must make a few generalizations. First‚ we let the polynomial fn(x)= a0 + a1x + a2x2 + ... +
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COLORADO STATE BOARD OF PSYCHOLOGIST EXAMINERS RULES INDEX PURPOSE AND SCOPE .......................................................................................................... 2 RULE 1 - DEFINITIONS ....................................................................................................... 2 RULE 2 - PUBLIC PARTICIPATION AT BOARD MEETINGS (C.R.S.§§ 12-43-203‚ 1243-221) ........................................................................................................
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