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Korg Volca Sample 2 Digital Sample Sequencer
The Korg Volca Sample MK2 Digital Sample Sequencer includes all the popular features of the original with the inclusion of better connectivity more memory and an enhanced sample library. Running on 6 AA batteries youll be empowered to make music wherever you are however you like. The device is incredibly powerful. The Samples engine is able to produce eight-voice polyphony which can be enhanced with the onboard digital reverb. The vast array of knobs provide you with a seemingly infinite number of sample manipulation possibilities! The Samples extensive connectivity options make it an ideal choice to use in the studio and on-stage youll even be able to connect to other Volca units! Open a door to incredible experimentation with the Volca Sample.
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Sample Size Calculations in Clinical Research
Praise for the Second Edition:"… this is a useful, comprehensive compendium of almost every possible sample size formula.The strong organization and carefully defined formulae will aid any researcher designing a study." -Biometrics"This impressive book contains formulae for computing sample size in a wide range of settings.One-sample studies and two-sample comparisons for quantitative, binary, and time-to-event outcomes are covered comprehensively, with separate sample size formulae for testing equality, non-inferiority, and equivalence.Many less familiar topics are also covered …" – Journal of the Royal Statistical SocietySample Size Calculations in Clinical Research, Third Edition presents statistical procedures for performing sample size calculations during various phases of clinical research and development.A comprehensive and unified presentation of statistical concepts and practical applications, this book includes a well-balanced summary of current and emerging clinical issues, regulatory requirements, and recently developed statistical methodologies for sample size calculation. Features: Compares the relative merits and disadvantages of statistical methods for sample size calculations Explains how the formulae and procedures for sample size calculations can be used in a variety of clinical research and development stages Presents real-world examples from several therapeutic areas, including cardiovascular medicine, the central nervous system, anti-infective medicine, oncology, and women’s health Provides sample size calculations for dose response studies, microarray studies, and Bayesian approaches This new edition is updated throughout, includes many new sections, and five new chapters on emerging topics: two stage seamless adaptive designs, cluster randomized trial design, zero-inflated Poisson distribution, clinical trials with extremely low incidence rates, and clinical trial simulation.
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Innovation Competency Model : Shaping Faculty Academic Innovation Development in China's Higher Education
Contributing to the discussion over China's higher education development, this book takes a theoretical approach to address the topic of university academics' innovation by introducing an academic innovation competency model, exploring the contexts, concepts and practices.The innovation competency model comprises three interdependent dimensions, including the academic internal drive vitality, the academic synthesizing refined ability and the academic suspected and introspective ability.By enriching the theory of professional development of university teachers, these three dimensions will help advance the reform of college personnel systems and ultimately improve the quality of China's higher education. The book will be valuable to researchers, students and stakeholders hoping to learn about education reform in China, or to those who study higher education management and comparative education.
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Rethinking Education for Sustainable Development : Research, Policy and Practice
This book explores how education can be used as a tool to promote sustainability practices as the world faces huge challenges related to climate change and public health.The chapters consider all types of literacy approaches that fall under the umbrella of Education for Sustainable Development (ESD).These approaches include scientific literacy, ecological literacy, health literacy, education on climate change and climate resilience, environmental education and others linking education, global health, and the environment more broadly. “Education” is used in the widest sense to incorporate non-formal, informal and formal/school settings.This volume will help to bring these interconnected areas together and interrogate their research methods, assumptions, field-based application and their policy potential.Taking a critical approach to ESD, the book suggests new pedagogies, tools, and technologies to strengthen the way we educate about sustainability issues and go beyond the current thinking about ESD.The book includes a foreword by Jeffrey Sachs, Director of the Center for Sustainable Development at Columbia University, USA.
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Is this sample incorrect?
Yes, this sample is incorrect. The sample provided is not a complete sentence and lacks clarity. It does not provide enough information or context to understand the situation fully. A correct sample would need to be more specific and detailed to effectively address the question or issue at hand.
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What is the difference between a comparison sample and a norm sample?
A comparison sample is a group of individuals who are similar to the person being assessed, such as individuals with similar demographics or characteristics. This sample is used to compare the individual's performance or characteristics to those of a similar group. On the other hand, a norm sample is a representative group of individuals from the general population, used to establish average performance or characteristics for a particular measure or assessment. The norm sample provides a standard against which an individual's performance or characteristics can be compared. In summary, a comparison sample is specific to the individual being assessed, while a norm sample represents the general population.
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What is the definition of a blind sample and a reference sample?
A blind sample is a sample that is tested without the tester knowing the identity or characteristics of the sample. This is done to eliminate bias and ensure the accuracy of the test results. On the other hand, a reference sample is a known sample that is used as a standard for comparison in a test or analysis. It provides a baseline for comparison and helps to ensure the accuracy and reliability of the test results.
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What is a total sample?
A total sample refers to the entire population or group being studied in research. It includes every individual or element that meets the criteria for inclusion in the study. By analyzing the total sample, researchers aim to draw conclusions that are representative of the entire population, rather than just a subset of it. This approach helps to ensure the generalizability and reliability of the study findings.
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Digital Holocaust Memory, Education and Research
This book explores the diverse range of practical and theoretical challenges and possibilities that digital technologies and platforms pose for Holocaust memory, education and research.From social media to virtual reality, 360-degree imaging to machine learning, there can be no doubt that digital media penetrate practice in these fields.As the Holocaust moves beyond living memory towards solely mediated memory, it is imperative that we pay critical attention to the way digital technologies are shaping public memory and education and research.Bringing together the voices of heritage and educational professionals, and academics from the arts and humanities and the social sciences, this interdisciplinary collection explores the practicalities of creating digital Holocaust projects, the educational value of such initiatives, and considers the extent to which digital technologies change the way we remember, learn about and research the Holocaust, thinking through issues such as ethics, embodiment, agency, community, and immersion.At its core, this volume interrogates the extent to which digital interventions in these fields mark an epochal shift in Holocaust memory, education and research, or whether they continue to be shaped by long-standing debates and guidelines developed in the broadcast era.
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Gender Differences in Technology and Innovation Management : Insights from Experimental Research
Even though the number of working women has steadily increased over the last few years, women are still significantly under-represented in STEM activities (i.e. mathematics, informatics, science and technology). In order to eliminate this under-representation, numerous education policies and corporate initiatives, particularly in the recent past, have been aimed at increasing women's enthusiasm for STEM activities and professions.According to the latest surveys, however, it is clear that these efforts have not yet led to the desired success.Compared to their male counterparts, women continue to do fewer STEM activities. One possible reason for this is that relatively little is yet known about the concrete impact of the above education policies on working with innovation and technology: What are the gender differences between women and men?Is it enough to recognize these differences, or should these differences ideally not only be recognized, but also treated appropriately or even encouraged? This anthology deals with current topics in technology and innovation management against the background of these and other gender-relevant aspects.Empirical analyses and experiments in collaboration with companies from various sectors provide a sound scientific basis on which new results and findings are presented: How do women and men deal with creativity and competition?How are technologies applied and how can differences in access to technology be deduced? Answers to these and other questions help decision-makers in politics and business to proactively use the differences between women and men to motivate women to work in the STEM field and to strengthen them by acknowledging existing differences.
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Understanding Development and Disorder in Cantonese using Language Sample Analysis
Understanding Development and Disorder in Cantonese using Language Sample Analysis brings together 20 years of research on typical development and Development Language Disorder (DLD) in Cantonese.This book begins with a succinct overview of Cantonese, which is a popular variety of Chinese, a Sino-Tibetan language.The second chapter describes a new framework of the Grammatical Analysis of Cantonese Samples (GACS), which is developed on the basis of functionalist and usage-based theories of language and language development.The third chapter reports on a quantitative analysis, as well as a qualitative description of the development of Cantonese in preschool children using the GACS framework.The book ends with a chapter that presents the linguistic profile of a Cantonese-speaking child with DLD.It also illustrates how to make decisions on intervention targets on the basis of the grammatical and error analysis.The book provides a timely and important addition to the typological diversity of studies in both child language development and disorder.This book is informative for students and practitioners of speech and language therapy, students in early childhood education and Chinese linguistics and researchers in child language development and disorders.
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Petite Sample Petite Sample Nostalgic Kitchen
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What does pool sample mean?
A pool sample refers to a combined sample that is created by mixing individual samples from multiple sources. This method is often used in testing or analysis to get an overall representation of a larger population while reducing the number of individual tests needed. Pool sampling can help save time and resources by allowing for a more efficient way to analyze data or detect the presence of a particular substance or characteristic within a group.
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What is an ejaculation sample?
An ejaculation sample is a sample of semen that is collected from a male through ejaculation. It is typically used for fertility testing, sperm analysis, and assisted reproductive techniques such as in vitro fertilization. The sample is examined to assess the quantity, quality, and motility of the sperm, as well as to check for any abnormalities or potential fertility issues.
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What is a point sample?
A point sample is a type of sampling method where data is collected at specific individual points or locations within a larger area or population. This method involves selecting and analyzing data from a single point or location to represent the characteristics of the entire area. Point samples are commonly used in environmental studies, such as measuring air quality at specific locations or collecting water samples from individual points in a river.
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What is a sample order?
A sample order is a small quantity of products that a customer purchases from a supplier in order to evaluate the quality, design, and functionality of the product before making a larger purchase. Sample orders are commonly used in the manufacturing and retail industries to ensure that the product meets the customer's expectations and requirements. It allows the customer to physically inspect and test the product before committing to a larger order, helping to minimize the risk of receiving unsatisfactory products in bulk.
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