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Harmonica for dummies
Presents information on the structure of the harmonica and describes techniques for breathing, relaxing, and counting time, forming chords and melodies, mastering songs, and playing with a band.
Accounting all-in-one for dummies
by
Michael Taillard
in
Accounting
2022
A complete and easy-to-follow resource covering every critical step of the accounting process
Learning to love the language of business is easier than you think! In the newly revised Third Edition of Accounting All-In-One For Dummies with Online Practice, finance expert Michael Taillard walks you through every step of the accounting process, from setting up your accounting system to auditing and detecting financial irregularities.
You'll enjoy a unified compilation of mini-books and online practice and video resources that bring together everything you need to know about accounting into one convenient book and web portal. You'll learn to record accounting transactions, adjust and close entries, prepare income statements and balance sheets, and more. You'll also get:
* Online instructional videos that describe the modern reality of accounting in the digital age
* Guidance and instruction on how to make savvy financial decisions to help guide your business in the right direction
* Advice on how to handle case and make intelligent purchasing decisions
* Helpful practice quizzes for each topic to help you crunch the numbers
Perfect for anyone who's just beginning their career or education in accounting—as well as those who just love numbers— Accounting All-in-One For Dummies is also a must-read for business owners, founders, and managers who want to get a better understanding of the financial side of commerce.
Flute for dummies
Whether you've never touched a flute or want to dust yours off and start playing again, this easy-to-follow guide walks you through everything you need to know to prepare for and play the flute.
Autonomous Language Learning with Technology
2017,2018
This book looks beyond the classroom, and focuses on out-of-class autonomous use of technology for language learning, discussing the theoretical frameworks, key findings and critical issues. The proliferation of digital language learning resources and tools is forcing language education into an era of unprecedented change. The book will stimulate discussions on how to support language learners to construct quality autonomous technology-mediated out-of-class learning experience outside the classroom and raise greater awareness of and research interest in this field. Out-of-class learning constitutes an important context for human development, and active engagement in out-of-class activities is associated with successful language development. With convenient access to expanded resources, venues and learning spaces, today’s learners are not as dependent on in-class learning as they used to be. Thus, a deeper understanding of the terrain of out-of-class learning is of increasing significance in the current educational era. Technology is part and parcel of out-of-class language learning, and has been a primary source that learners actively use to construct language learning experience beyond the classroom. Language learners of all ages around the world have been found to actively utilize technological resources to support their language learning beyond formal language learning contexts. Insights into learners’ out-of-class autonomous use of technology for language learning are essential to our understanding of out-of-class learning and inform educators on how language learners could be better supported to maximize the educational potentials of technology to construct quality out-of-class learning experience.
Guitar all-in-one for dummies
A one-stop resource to learn to play guitar! This guide puts everything you need to start playing and continue improving at your fingertips.
Reinforcement learning in robotic applications: a comprehensive survey
2022
In recent trends, artificial intelligence (AI) is used for the creation of complex automated control systems. Still, researchers are trying to make a completely autonomous system that resembles human beings. Researchers working in AI think that there is a strong connection present between the learning pattern of human and AI. They have analyzed that machine learning (ML) algorithms can effectively make self-learning systems. ML algorithms are a sub-field of AI in which reinforcement learning (RL) is the only available methodology that resembles the learning mechanism of the human brain. Therefore, RL must take a key role in the creation of autonomous robotic systems. In recent years, RL has been applied on many platforms of the robotic systems like an air-based, under-water, land-based, etc., and got a lot of success in solving complex tasks. In this paper, a brief overview of the application of reinforcement algorithms in robotic science is presented. This survey offered a comprehensive review based on segments as (1) development of RL (2) types of RL algorithm like; Actor-Critic, DeepRL, multi-agent RL and Human-centered algorithm (3) various applications of RL in robotics based on their usage platforms such as land-based, water-based and air-based, (4) RL algorithms/mechanism used in robotic applications. Finally, an open discussion is provided that potentially raises a range of future research directions in robotics. The objective of this survey is to present a guidance point for future research in a more meaningful direction.
Journal Article
Ukulele for dummies
Presents an introduction to playing the ukulele, discussing such topics as chords, strumming, fingerpicking, and different genres and styles, along with advice on selecting and caring for an instrument.
Practitioner Adherence and Competence in MEYA, a Free Online Self-Instruction Program in Modular Psychotherapy and Counseling for Children’s Autism-Related Clinical Needs
by
Wood, Jeffrey J.
,
Tien, Ingrid S.
,
Muscatello, Virginia S.
in
Adherence
,
Adolescent
,
Algorithms
2025
The quality of care in public schools and other community settings for school-aged youths on the autism spectrum is variable and often not evidence-based. Training practitioners in these settings to deliver evidence-based practices (EBPs) may improve the quality of care. We developed a free internet-based training and clinical guidance system synthesizing multiple EBPs for youth on the autism spectrum addressing a range of mental health needs and autism-related behaviors, entitled
Modular EBPs for Youth on the Autism Spectrum
(MEYA; meya.ucla.edu). A multiple baseline study was conducted with seven practitioners recruited from mental health practice settings across the United States who were providing services to children on the autism spectrum (aged 6 to 17 years). Practitioners were randomly assigned to undergo baseline conditions of 2 to 8 weeks. Once online training in MEYA commenced, practitioners engaged in algorithm-guided self-instruction in EBPs for autism. Participants video-recorded sessions. Independent coders used the MEYA Fidelity Scale (MEYA-FS) to rate adherence and competence in EBPs for autism. Practitioners also completed measures pertaining to implementation outcomes and parents rated youth outcomes on personalized target behaviors. Five of seven practitioners increased their adherence to MEYA practices (i.e., MEYA-FS scores) following MEYA training. Findings for competence were similar, though somewhat less robust. Practitioners generally viewed MEYA as feasible, understandable, and acceptable. Most youth outcomes improved during MEYA. A randomized, controlled trial of MEYA would be helpful in characterizing its effectiveness for supporting practitioner EBP implementation and youth outcomes in school and community service settings.
Journal Article
Use of Smartphone Apps, Social Media, and Web-Based Resources to Support Mental Health and Well-Being: Online Survey
2019
Technology can play an important role in supporting mental health. Many studies have explored the effectiveness, acceptability, or context of use of different types of mental health technologies. However, existing research has tended to investigate single types of technology at a time rather than exploring a wider ecosystem that people may use. This narrow focus can limit our understanding of how we could best design mental health technologies.
The aim of this study was to investigate which technologies (smartphone apps, discussion forums and social media, and websites and Web-based programs) people use to support their mental health and why, whether they combine and use more than one technology, what purpose each technology serves, and which features people find the most valuable.
We conducted an online survey to gather responses from members of the public who use technology to support their mental health and well-being. The survey was advertised on social media and via posters at a university. It explored usage patterns, frequently used features, and engagement with technology. To gain deeper insights into users' preferences, we also thematically analyzed open-ended comments about each technology type and suggestions for improvements provided by the respondents.
In total, 81 eligible participants completed the survey. Smartphone apps were the most commonly used technology, with 78% of the participants (63/81) using them, either alone (40%) or in combination with other technologies (38%). Each type of technology was used for specific purposes: apps provided guided activities, relaxation, and enabled tracking; social media and discussion forums allowed participants to learn from the experiences of others and use that knowledge to understand their own situation; and Web-based programs and websites helped to find out how to deal on a day-to-day basis with stress and anxiety. The analysis of open-ended responses showed that although many people valued technology and felt it could support targeted activities, it was not seen as a substitute for traditional face-to-face therapy. Participants wanted technology to be more sophisticated and nuanced, supporting personalized and actionable recommendations. There was evidence that participants mistrusted technology, irrespective of the type, and had broader concerns regarding the impact of overuse of technology.
People use different types of technology to support their mental health. Each can serve a specific purpose. Although apps are the most widely used technology, mixing and matching different types of technology is also common. Technology should not be seen as a replacement for traditional psychotherapy, rather it offers new opportunities to support mental health as part of an overall ecosystem. People want technology to be more nuanced and personalized to help them plan informed actions. Future interventions should explore the use of multiple technologies and their combined effects on mental health support.
Journal Article