...1a. Pier 1 Imports started its journey as a single store in San Mateo, California in 1962 in the industry of specialty retail goods and experienced a rapid expansion within few years. The company established its corporate headquarters in Fort Worth, Texas in 1966 and despite being in business for only four years, it already had 16 store locations. In 1972, Pier 1 Imports joined the New York Stock Exchange as a public company with a symbol of PIR and it already had 123 stores by then (“Pier 1 Imports History”, www.Pier1.com). Later in 1986, Pier 1 Imports was incorporated as a Delaware corporation and as of February 28, 2015, the company had 984 stores in the United States and 81 stores in Canada along with an e-Commerce website (10-K, p.5)....
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...www.fmfi-journal.org Focusing on Modern Food Industry (FMFI) Volume 2 Issue 4, November 2013 Optimization of Pomace and Banana Peel Fermentation for Production of Single Cell Oil A. Kulkarni*1, A. Singh2, B.K Kumbhar3, M. Sahgal4 Department of Post Harvest Process & Food Engineering, College of Technology, GB Pant University of Agri & Technology, Pantnagar 263 145 U.S Nagar, Uttarakhand, INDIA 2 corresponding author e-mail: asingh3@gmail.com Abstract Present study was carried out to obtain single cell oil using fermented apple pomace and banana peel. The variables selected for the final experiments were levels of pH (3.0, 4.0 and 5.0), fermentation time (24, 48 and 72 hrs) and inoculum level (0.8, 1.0 and 1.2 ml). Designed experiments were conducted randomly to reveal the effect of these variables on pH, sugar utilization and single cell oil yield. Fermentation of apple pomace (50%) with banana peel (50%) resulted in maximum single cell oil production (5.87%) by using R. minuta. Statistical analysis resulted in the optimum conditions (pH 3.0, fermentation time 56.4 hrs and inoculum level 1.12 ml) for maximum single cell oil production. The model F- value was found to be highly significant at 1% level of significance in case of pH, utilized sugar and single cell oil yield. Hence, second order model could be fitted to predict all the dependent parameters. Key words Single Cell Oil; Fermentation; Pomace; Agro Waste Utilization Introduction ...
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...@; do rep=1 to 3; do s1=1 to 3; do s2=1 to 2; input y @@; output; end;end;end; datalines; 1 1 12 13 14 15 23 22 15 16 17 18 24 15 26 25 18 19 20 21 1 2 23 10 23 20 15 33 26 13 26 23 16 12 18 36 29 16 29 26 1 3 21 15 34 23 16 19 24 18 37 26 17 17 19 22 27 21 40 29 2 1 13 18 23 14 18 21 16 21 26 17 19 20 21 24 19 24 29 20 2 2 16 16 13 25 19 21 19 19 16 28 20 18 22 24 22 22 19 31 2 3 17 24 15 17 19 21 20 27 18 20 20 26 22 24 23 30 21 23 ; proc print; run; /* lets consider A and B are random, and of course rep, samoplings ( s1 and s2 ) all are random */ proc glm; class a b rep s1 s2; model y=a b a*b rep(a*b) s1(rep*a*b); random a b a*b rep(a*b) s1(rep*a*b); run; proc varcomp method=type1; class a b rep s1 s2; model y=a b a*b rep(a*b) s1(rep*a*b); run; output: The SAS System 10:46 Wednesday, November 16, 2011 21 Obs a b rep s1 s2 y 1 1 1 1 1 1 12 2 1 1 1 1 2 13 3 1 1 1 2 1 14 4 1 1 1 2 2 15 5 1 1 1 3 1 23 6 1 1 1 3 2 22 7 1 1 2 1 1 15 8 1 1 2 1 2 16 ...
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...分析比較各種人臉辨識方法之優缺點,以提供未來進行相關研究時的依據與參考,以有效增加人臉的辨識率。 而我們所做的的方面是在於紅外線的人臉辨識,而人臉辨識的步驟通常都是先把照片做處理,才會進行拿去進行辨識的工作。在紅外線人臉識別裡,有許許多多人做過了很多種方式去辨識,我們看了其中的6種辨識法來研讀,並且挑了其中的PCA、LDA、SVM來實際製作跟測試。 1. Principal Component Analysis(PCA) 2. Linear Discriminant Analysis(LDA) 3. Independent Component Analysis (ICA) 4. Support Vector Machines (SVM) 5. ARENA (基於Memory-based) 6. Unified Bayesian Framework 目錄 摘要 i 目錄 ii 第一章、緒論 1 1-1 研究動機 1 1-2 研究目的 2 第二章、理論基礎 3 2-1 研究方法 3 2-1-1 Principal Component Analysis (PCA) 3 2-1-2 Linear Discriminant Analysis (LDA) 3 2-1-3 Independent Component Analysis (ICA) 3 2-1-4 Support Vector Machines (SVM) 3 2-1-5 ARENA (基於 Memory based) 4 2-1-6 Unified Bayesian Framework 4 2-2 臉部辨識的基本過程 4 2-3 MATLAB介紹 7 第三章、實作或模擬過程 8 3-1 建立人臉資料庫以及其內部樣式 8 3-2 資料庫取樣方法 9 3-3 PCA辨識 9 3-3-1 SVD在PCA上的應用 9 3-3-2 PCA訓練方法 10 3-3-3 PCA測試方法 11 3-4 LDA辨識 11 3-5 SVM辨識 12 3-5-1 SVM訓練方法 12 3-5-2 SVM測試方法 12 3-5-3 multi SVM 12 四、測試或模擬分析結果與討論 13 4-1 測試結果 13 4-1-1 測試PCA、LDA及SVM_Linear第一階段 13 4-1-2 測試PCA、LDA及SVM_Linear第二階段 14 4-1-3 SVM影像降維度與未降維度 15 4-1-4 基於PCA第一階段之線性SVM與多項式SVM 16 4-1-5 測試結果比較圖 18 4-2 測試討論 19 五、結論與自評 20 5-1 專題結論 20 5-2 自我評定 20 六、參考資料 22 七、指導老師意見(簽名) 23 第一章、緒論 1-1 、研究動機 由於電腦科技的急速發展、網路的普及化,發達的資訊已經融入了我們現實的生活中,因此必須要更顧慮到資訊安全上的問題,目前有許多犯罪事件都是屬於資訊犯罪的狀況,例如金融帳號或個人電腦資訊被盜用、個人資料外流的種種問題,這意味著光靠一組密碼並無法保護個人安全。 早期都是靠卡片(身份證、學生證、駕照、職員證、金融卡等等)加上密碼,或是單純只以密碼或卡片來...
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...Week 2 Learning Team A Paper Parts 4 & 5 Levels of Measurement for Each Variable in the Study In the survey that Debbie Horner, the Human Resource manager, distributed to the company, there are different levels of data available for analysis. The question seeking information about the respondent’s gender is a nominal-level question. “The nominal level of measurement observations of a qualitative variable can only be classified and counted” (Lind, Marchal, & Wathen, p. 10, 2011). For analytical purposes the order in which the data is displayed makes no difference. The question regarding the division of work for the respondent, and the question regarding if the respondent is a member of management or supervision is also nominal. Also, the question pertaining to length is service is nominal because it only seeks one answer. The ten questions relating to how each respondent feels is interval-level data. The ten questions ask each respondent to rate his or her individual feelings on a scale of one to five. One is considered very negative and five is considered very positive. This is known as a Likert Scale. The Likert Scale is the most popular form of survey data collection because it is easy to assemble, the scale is more reliable, and produce more interval-level data (Cooper & Schindler, 2011). Data Coding After collecting the data, Sally, one the office support staff, began the task of coding the data. While some values were pre-determined other...
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...Case study (2) NATURAL DISATSTERS AND DECISIONS THAT FOLLOW EHAB ABD ELGALIL ELDEBERKEY ELGRESSEY 01223677767 Problem definition There is no code of ethics to deal with such natural disaster and very random following decisions Justification of the problem This problem caused through: 1. Lack of planning or primitive planning system which not include a clear code of ethics to deal and match this situation 2. Unwise decisional policy which lead to more complications 3. Neglecting or absence of customer care concepts Alternatives 1. Setting up a code of ethics and decisional policy through the whole plan to regulate dealing with these sudden or predicted situations. 2. Situation analysis and negotiation with the affected customers (victims) about an average compensation to keep them satisfied and to keep the organization reputation and attract more of the new customers. 3. Making a social agreements with the government or even the national charity organizations to share paying the compensations and cover some of the loss Evaluation 1. Alternative number 1 It is an essential corner stone in setting up a business plan is to include a clear code of ethics which represent a social commitment and also will * Prove an honest reputation for the organization in the customer mind * Help to count the profit range according to the risks * Control and rule the decision of How to handle these situations 2. Alternative...
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...INSS 370 Final Exam Study Guide Below is a study guide for your final exam. There will be a combination of true/false and multiple choice questions. 1. Who is responsible for prioritizing the product backlog? 2. What does a burn‐down chart show? 3. What are the principles outlined in the Agile Software Development Manifesto? 4. If our highest priority is to satisfy the customer through early and continuous delivery of valuable software, in general, how can we do that? 5. In agile software processes are the highest priorities to satisfy the customer through early and continuous delivery of valuable software? 6. What traits need to exist among the members of an agile software team? 7. In agile development is it more important to build software that meets the customers' needs today than worry about features that might be needed in the future? 8. The ____ phase of the SDLC includes four main activities: requirements modeling, data and process modeling, object modeling, and consideration of development strategies. 9. One of the main activities in the systems analysis phase is ____ modeling, which involves fact‐finding to describe the current system and identification requirements for the new system. 10. How is planning performed on projects that use Agile approaches? 11. Who should be the main judge of the business value (think of the various roles within an agile team)? 12. How should work be allocated and who should allocate the work to the team in an Agile ...
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...Problems Question 1 #1 c only, Be sure to 1) identify all of the paths in the diagram and their lengths, 2) indicate which is the critical path, 3) work out the ES, EF, LS, LF for each activity, 4) what are the slack times for each activity? Solution Path | Expected Path Time | 1-2-5-12-16 | 44 | 1-3-6-13-16 | 39 | 1-3-7-14-16 | 41 | 1-4-8-9-10-11-15-16 | 35 | 1-4-8-10-11-15-16 | 38 | The critical path in this diagram is 44, that is 1-2-5-12-16 as the slack time is 0. Activity | ES | EF | LF | LS | Slack | 1-2 | 0 | 10 | 10 | 0 | 0 | 2-5 | 10 | 24 | 24 | 10 | 0 | 5-12 | 24 | 37 | 37 | 24 | 0 | 12-16 | 37 | 44 | 44 | 37 | 0 | | | | | | | 1-3 | 0 | 14 | 19 | 5 | 5 | 3-6 | 14 | 29 | 34 | 19 | 5 | 6-13 | 29 | 35 | 40 | 34 | 5 | 13-16 | 35 | 39 | 44 | 40 | 5 | | | | | | | 1-3 | 0 | 14 | 14 | 0 | 3 | 3-7 | 14 | 25 | 28 | 17 | 3 | 7-14 | 25 | 38 | 41 | 28 | 3 | 14-16 | 38 | 41 | 44 | 41 | 3 | | | | | | | 1-4 | 0 | 3 | 9 | 6 | 6 | 4-8 | 3 | 11 | 17 | 9 | 6 | 8-10 | 11 | 15 | 21 | 17 | 6 | 10-11 | 15 | 22 | 28 | 21 | 6 | 11-15 | 22 | 28 | 34 | 28 | 6 | 15-16 | 28 | 38 | 44 | 34 | 6 | | | | | | | 1-4 | 0 | 3 | 12 | 9 | 9 | 4-8 | 3 | 11 | 20 | 12 | 9 | 8-9 | 11 | 12 | 21 | 20 | 9 | 10-11 | 12 | 19 | 28 | 21 | 9 | 11-15 | 19 | 25 | 34 | 28 | 9 | 15-16 | 25 | 35 | 44 | 34 | 9 | Question 7 Three recent college graduates have formed a partnership and have opened an advertising firm. Their...
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...KPMG 经典 24 题 The Classical 24 Numerical Reasoning 1 2 3 4 5 6 7 "The big economic difference between nuclear and fossil-fuelled powerstations is that nuclear reactors are more expensive to build and decommission, but cheaper to sun. So disputes 答案详解 1. E (28x200+25x100)/(100%-10%)=9000 2. C (20x250+16x300) x6%=588 8 3. B Permanent: 150 Temporary: 250 Region E (permanent: temporary)=3:2 Region SE Total: 400 (New) Permanent: 400x3/5=240 Temporary: 400x2/5=160 所以我们可以得出 P 增加了 90 人,T 减少了 90 人 90x(30-18)=1080 (我们可以用其他方法算,但是却不是最节约时间的算法) 4. E 目测, (SE 和 SW 的 P 每小时接的电话数是最高的,而且 SW 的 P 的人数多,所以总数上 SW 可定比 SE 要高。虽然 E 的每小时接电话数不高,但是他人 数最多,所以总数也很高) 5. 6. 7. 8. 9. C A A D E (43200+80000+16000) x105%-11232-12096-21600-19200-4160-4640=73232 (40x120x4-1600)/16000=20% 43200/48-44000/50=20 80000/50/25=64 (2.50-2.40)/2.40x2.50+2.50=2.604 (1.10-1.08)/1.08x1.10+1.10=1.120 2.604-1.120=1.48 10. 11. A C 1.70-(3.20-1.70)=0.2 9 (1.70-0.3)x(1-15%)=1.19 12. 13. 14. 15. 16. 17. E G B E C C 1.08x(1-20%)/2.40=36% (70-50)x4x40x3=9600 50x40x4x6+50x4x4x10=56000 3/2.4x40-40=10 (40-38)x4x3x(55+40)=2280 8000/61.8-100/1.62=67.72 不管在 Yr 1,用了多少英镑买泰铢,我们要知道的是在 Yr 2,8000 泰铢可换多少英镑,所以用第二年的汇率,而不是第一年的。 注 意 remainder 说 明 是 算 差 的 18. 19. F D 1000x1.52/1.62x11.1=10415 (65.4-61.8)/61.8=5.8% 升值,这是直接法,所以在 Yr 1,1 英镑可换 65.4 泰铢,而 Yr 2,1 英镑之可以换到 61.8 的泰铢,这说明泰铢升值了。 (这里英镑 是基准货币) 这 道 题 原 始 的 解 法 应 该 是 : 1/61.8-1/65.4) /1/65.4 ( 20. 21. 22. B E G 目测法,看两年直接之变化最大的,注意单位(全部看作是百位数) ??????????...
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...Resources |Listening |Reading |Class Reading |Writing |Final test 1 |Final test 2 | |Ex 1-2 Barrons |Test 1: |RP1 T1T3 (cam5) |task1 |Camb 6 test 1 |From old handbook | |numbers/letters |Cambr 7 test 1 |RP2 T1T2 (cam5) |macmillan (macarter) |Reading: | | |Ex.3 Camb 7 Section 1 |Test 2: |RP3 T4T1 (cam5) |task 2 |Camb 7 test 2 | | |Ex 4. Emotions Barrons |Cambr 7 test 4 |RP4 Mozart (macmillan) |Kaplan (celeb) |Writing | | |Ex. 4 |Test 3 |RP5 T4T3 (cam5) |simon |Chicken consumption | | |-camb 7 test 4 sect3 |Plus 2 (old) |RP6 T2T1 (cam6) |dcielts |(camb 7 test 2) | | |-sect 3 from previous |Test 4: | |Sample essays |Media essay | | |final test1 |Plus 2 (old) | |1 celebrities |(vocabulary for | | |Ex “time” “frequency” |Test 5: | |2 TV |ielts unit 19) | | |from barrons |Plus 2 (old) ...
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...Content Analysis Since the nature of the study was to explore communication material, Content analysis was the selected methodology because of its application in analyzing communication message without putting the researcher’s interpretation. * Print ads were collected. * In the attachment you will find few ads that were collected as part of the content that was analyzed. * Each print ad was shown and thoughts and feelings about the ads were collected. * Many respondents presented more than one thought or feeling. In some cases they described a sentence to capture the imagery in the pictures. * In such cases all individual thoughts and feelings were captured for coding process * Coding Scheme: - The coding scheme that was obtained is as below (in alphabetical order). Please observe the ads you would find how the below codes were developed. SNo | Code | 1 | Adventure sports | 2 | Business | 3 | Celebrity testimonial | 4 | Dance | 5 | Do’s and Don’ts | 6 | Fashion | 7 | Food | 8 | Festivales | 9 | Food | 10 | Handicrafts | 11 | History | 12 | Hospitality | 13 | Nature | 14 | Natural Landscape | 15 | Monuments | 16 | Music | 17 | People | 18 | Public Awareness | 19 | Religion | 20 | Shopping | 21 | Spirituality | 22 | Sports | 23 | Wellness | 24 | Wildfire | * Theme generation: - Seven themes were identified based on the coding schemes. The list of themes are as below Sno | Code | Theme | No of...
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...1 www.oldwitchcraft.com 2 www.oldwitchcraft.com 3 INTRODUCTION The science of numerology can be traced back thousands of years. The Chinese, Japanese, Greek, Hebrews, Egyptians, Phoenicians, early Christians, Mayans, and Incas all used some form of numerology to gain a deeper understanding of themselves and the universe. Numerology is perhaps the easiest of the occult arts to understand and use. All you need is the birth date and the complete name of an individual to unlock all of the secrets that the numbers hold. (Most authorities agree that the full birth name as recorded on your birth certificate is the name that must be used for all calculations involving name.) There are eleven numbers used in constructing Numerology charts. These numbers are 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, and 22. Larger numbers that occur from adding the numbers in the complete birth date or from the values assigned to each name are reduced by adding the digits together until the sum achieved is one of the core numbers. Merely add the components of the larger number together (repeatedly, if necessary) until a single digit (or the "master" numbers 11 or 22) results. Each of these numbers represents different characteristics and expressions. Master numbers are the only exception to rule of reducing to the single digit. The master numbers 11 and 22 are intensified versions of the single digit number they replace (2 and 4). These numbers suggest a potential for a high degree of learning and/or achievement...
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...CHAPTER 4 PRESENTATION, ANALYSIS AND INTERPRETATION OF DATA This chapter presents the data gathered, analysis and interpretation of data. The study focused on the Study Habits of Tourism Students of College of the Holy Spirit. It initially determines the demographic profile of the respondents. Problem 1: What is the demographic profile of the respondents. Age Number of Respondents (f) Percentage (%) 16 – 17 7 14% 18 – 19 24 48% 20 – 21 12 24% 22 – 23 5 10% 24 – 25 2 4% Total 50 100 Table 1 Frequency Distribution of the Tourism Students According to Age Table 1 shows the frequency distribution of tourism students according to their age. Most of the students belonged to the age bracket of 18-19 years old having the biggest percentage of 48% with 24 respondents. The second biggest percentage belonged to the age bracket 20-21 having 24% with 12 respondents. The least percentage, 4% belonged to the age bracket 24-25 years old with 2 respondents, both irregular students. Gender Frequency (f) Percentage (%) Male 0 0 Female 50 100 Total 50 100 Table 2 Frequency Distribution of the Tourism Student According to Gender Table 2 presents the frequency distribution of the respondents according to gender. Based on the table, there were no male tourism students enrolled at College of the Holy Spirit, meaning all of the respondents were female with a total number of 50, equivalent to 100%. Year/Level Number of Respondents (f) Percentage (%) BSTM II 8 16% BSTM III...
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...CONTENTS PAGE QUESTION NO. 1 3 – 5 QUESTION NO . 2 6 – 7 QUESTION NO . 3 8 – 9 QUESTION NO . 4 10- 11 Question 1 x + 2y + z = 4 3x + z = 2 X – y + z = 1 a) Function into a matrix form, let A be the coefficient matrix 1 2 1 x 4 3 0 1 y 2 1 -1 1 z 1 A = 1 2 1 3 0 1 1 -1 1 b) Determinant of A = 1 0 1 -2 3 1 + 1 3 0 -1 1 1 1 1 -1 = 1 (1) -2 (2) + 1 (3) = 1 - 4 + (-3) = -6 c) Minor of A = 1 2 -3 3 0 -3 2 -2 -6 d) Cofactor of A = 1 x 1 = 1 -1 x 3 = -3 1 x 2 = 2 -1 x 2 = -2 1 x 0 = 0 -1 x (-2) = 2 1 x 3 = 3 -1 x (-3) = 3 1 x (-6) = -6 = 1 -2 -3 -3 0 3 2 2 -6 e) Adjoint of A = ( Cofactor A ) = 1 -2 -3 -3 0 3 2 2 -6 = 1 -3 2 -2 0 2 -3 3 -6 f) Inverse of A A-1 = 1/-6 X 1 -3 2 -2...
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...gain again or worst you may never have it at all. So the time these are wasted for nothing, for sure the blame for this mistake will be felt truly. When looking at the profile of those students who are working and at the same time is studying, you would notice that they never dare wasting their time. For them, every second counts. Make an observation and you will find out that almost all of the working students are working too hard to finish their studies. For them, wasting their effort, time and money is such a big mistake. OBJECTIVES OF THE STUDY The objective of studying this matter is to know the profile of the working students and the implication on the class standing. Specifically, they need to answer these following questions: 1. What was the working students are going through while they are studying and at the same time working? 2. What are the statuses of the working students when it comes to their grades and their participation in class?...
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