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This document summarizes the results of a survey using systematic random sampling. It finds that: - The most common birthstones were sapphire, opal, and emerald. - Most respondents were from the Copernicus section last year. - The majority had a shirt size of S or M. - The highest number of respondents weighed between 40-50kg.
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Alok Kumar is a software developer with over 2 years of experience developing web and distributed applications using Java/J2EE technologies. He is currently working at Macrossys Technologies and has extensive experience designing, developing, and implementing applications using technologies like Java, AngularJS, Struts, Spring, Hibernate, and Oracle. Some of the projects he has worked on include a Student Management System and an Employee Payroll Management System. He is proficient in technologies like Core Java, Servlets, JSP, EJB, RMI, Web Services, and frameworks like Struts, JSF, Hibernate, and Spring.
Systematic Sampling
Systematic sampling is a technique where every nth sample is selected from a list to be included in the overall sample. This is useful when subjects are logically arranged like alphabetically or geographically. The procedure is easy to do manually and results are generally representative of the population unless a characteristic repeats every nth individual. To conduct systematic sampling, a starting number and interval are selected, where the interval is the constant difference between consecutive samples. This sampling method is illustrated through an example where every 8th individual is selected from a population of 100 to obtain a sample of 12.
Statistika "Systematic Random Sampling"
Dokumen tersebut membahas metode sampling sistematis (systematic random sampling) untuk penelitian statistika. Metode ini melibatkan pemilihan elemen secara berkala dari kerangka sampling dengan menentukan interval antara elemen yang dipilih. Dokumen tersebut menjelaskan prosedur pemilihan sampel secara sistematis, keuntungan dan kelemahannya, serta contoh penerapannya dalam penelitian rumah tangga.
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Hispanics may have a built-in defense against the isolation technology breeds, owing to their large, multigenerational households, strong social support systems, and tendency to use social media to stay connected with relatives abroad.
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Technology
For example, 52% agree that technology and social media have a negative impact on mental health, but when broken out by race, 61% of Whites felt technology had a negative effect, and only 48% of Hispanics thought it did.
While technology has helped us keep in touch with friends and family in faraway places, it appears to have degraded our ability to connect in person. Staying connected online is a double-edged sword since the same news feed that brings us pictures of the grandkids and fluffy kittens also feeds us news about the wars in Israel and Ukraine, the dysfunction in Washington, the latest mass shooting and the climate crisis.
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Gen Z spends the most amount of time on social media, so the notion that social media negatively affects mental health appears to be correlated. Unfortunately, Gen Z is also the generation that’s least comfortable discussing mental health concerns with healthcare professionals. Only 40% of them state they’re comfortable discussing their issues with a professional compared to 60% of Millennials and 65% of Boomers.
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Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
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See the original article on Forbes here:
http://www.forbes.com/forbes/welcome/?toURL=http://www.forbes.com/sites/carminegallo/2016/05/06/5-public-speaking-tips-ted-gives-its-speakers/&refURL=&referrer=#5c07a8221d9b
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* ChatGPT and OpenAI belong to OpenAI, L.L.C.
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More than Just Lines on a Map: Best Practices for U.S Bike RoutesProject for Public Spaces & National Center for Biking and Walking
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This session highlights best practices and lessons learned for U.S. Bike Route System designation, as well as how and why these routes should be integrated into bicycle planning at the local and regional level.
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Data Presentation
- 1. REPORT ON ACTIVITY #4 SAMPLING TECHNIQUES BY: JOSHUA G.DE GUZMAN RYAN OLIVER REGIS
- 2. 3) SYSTEMATIC RANDOM SAMPLING
- 3. RESPONDENTS BIRTHSTONE FIRST YEAR SECTION SHIRT SIZE WEIGHT B2 Sardonyx Copernicus S 51kg B4 Emerald Brahe M 56kg B6 Sapphire Ptolemy S 40kg B8 Turquoise Ptolemy S 40kg B10 Opal Brahe M 60kg B12 Sardonyx Kepler S 36kg B14 Sapphire Copernicus L 90lbs G1 Amethyst Kepler M 54kg G3 Emerald Copernicus M 46kg G5 Opal Copernicus M 51kg G7 Sapphire Copernicus XS 38kg G9 Emerald Ptolemy S 43kg G11 Sardonyx Ptolemy M 60kg G13 Opal Copernicus S 47kg G15 Garnet Galileo S 49kg
- 4. BIRTHSTONE NUMBER SARDONYX ||| SAPPHIRE ||| OPAL ||| GARNET | TURQUOISE | EMERALD ||| AMETHYST | According to the table, the highest number of respondents with the same birthstone is 3. These birthstones are the Sardonyx, Sapphire, Opal and Emerald. While the lowest is only 1. These birthstones are Garnet, Turquoise and Amethyst. This shows that most of our respondents was born on August, September, October and May.
- 5. FIRST YEAR SECTIONS NUMBER COPERNICUS |||||| PTOLEMY |||| KEPLER || BRAHE || GALILEO | This table shows that most of our respondents came from Copernicus last year at a number of 6 persons. This makes up 40% of the 15 respondents. The lowest is 1 which came from Galileo. Twelve persons came from the sections of Copernicus, Ptolemy and Kepler. While 3 persons came from Brahe and Galileo.
- 6. SHIRT SIZE NUMBER XS | S ||||||| M |||||| L | Most of our respondents has a shirt size of S with 7 persons. While the lowest is 1 with the shirt size of XS and L. 13 persons have the shirt size of S and M that makes up 87% of the respondents.
- 7. WEIGHT NUMBER || 30-40KG ||||||| 40-50KG |||||| 50-6O KG Seven persons, which is the highest number of person, have the weight ranging from 40-50kg. While 2 persons, the lowest, have the weight ranging from 30-40kg. Six persons have the weight ranging from 50-60kg, which is 40% of 15 respondents.