Download or read book That Workshop Book written by Samantha Bennett and published by Heinemann Educational Books. This book was released on 2007 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Shows a new generation of teachers how the systems, structures, routines, and rituals that support successful workshops combine with thinking, planning, and conferring to drive students' growth, inform assessment and instruction, and increase teachers' professional satisfaction. And it shows those already using the workshop how to increase its instructional power by seeing its big ideas and its component parts in fresh, dynamic ways.

Download or read book Art Workshop for Children written by Barbara Rucci and published by Quarry Books. This book was released on 2016-11-01 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Art Workshop for Children is not just another book of straightforward art projects. The book's unique child-led approach provides a framework for cultivating creative thinking and encourages the wonder that comes when children are allowed to freely explore the creative process and their materials. As children work through these open-ended workshops, adults are guided on how to be facilitators who provide questions, encourage deep thinking, and help spark an excitement for discovery. Children explore basic materials and workshops that use minimal supplies, and then gradually add new materials to fill the art cabinets as well as new skills and more complex workshops. Most workshops are suitable to preschool-aged children, and each contains ideas for explorations and new twists to engage older or more experienced artists. Interspersed throughout are sidebar essays that introduce perspectives on mess-making, imperfection, the role of adult, collaborative art, and thoughts on the Reggio Emilia method, a self-guided teaching philosophy. These pieces underscore the value of art-making with children, and support the parent/teacher/care-giver on how to successfully lead, question, and navigate their children through the workshops to result in the fullest experiences.

Download or read book Image Understanding Workshop written by and published by . This book was released on 1994 with total page 864 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Active Workshop written by Ron Nash and published by Corwin Press. This book was released on 2010-08-19 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Administrators and workshop facilitators will find in this book exactly what is needed to deepen teachers′ understanding of workshop content and processes and increase their own effectiveness." —Sharon Madsen Redfern, Elementary Principal, Highland Park Elementary School, Lewistown, MT "Ron Nash′s book provides a primer for the presenter who wants to facilitate active workshop participation. His techniques can also be easily adapted to the classroom for highly engaging, child-centered lessons. This is truly a book worth adding to your professional library." —Stephen D. Shepperd, Retired Elementary Principal, Sunnyside Elementary School, ID Maximize engagement and retention with less talk and more interaction! Today′s students learn best by doing—as do most of us. This newest resource from Ron Nash is designed for educators who would rather "show" than "tell" to create highly interactive workshops. Packed with anecdotes, brain-compatible strategies, and checklists, the book provides practical tools for engaging participants to talk, reflect, brainstorm, and stretch beyond their comfort zones. Highlights include: Techniques for shifting 80% of the workshop′s workload to participants Keys to enhancing retention with storytelling and laughter Methods for analyzing and evaluating your presentations for ongoing improvement Tips for extending learning beyond the workshop The Active Workshop is ideal for seminar trainers, seminar facilitators, principals, and teacher leaders—anyone who works with elementary, secondary, and college educators in a training capacity.

Download or read book Face It Workshop written by and published by . This book was released on 2015-09-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Face It Workshop provides children and parents with a fun experience to develop their creativity and imagination. Create one-of-a-kind faces and characters using a variety of fun and quirky facial parts in this playful book of interactive art.

Download or read book Workshop Processes Practices and Materials written by Bruce Black and published by Routledge. This book was released on 2010-10-28 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Workshop Processes, Practices and Materials is an ideal introduction to workshop processes, practices and materials for entry-level engineers and workshop technicians. With detailed illustrations throughout and simple, clear language, this is a practical introduction to what can be a very complex subject. It has been significantly updated and revised to include new material on adhesives, protective coatings, plastics and current Health and Safety legislation. It covers all the standard topics, including safe practices, measuring equipment, hand and machine tools, materials and joining methods, making it an indispensable handbook for use both in class and the workshop. Its broad coverage makes it a useful reference book for many different courses worldwide.

Download or read book Drawing and Painting Beautiful Faces written by Jane Davenport and published by . This book was released on 2015-01-15 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perfect for aspiring designers, Drawing and Painting Beautiful Faces is an inspiring, mixed-media workbook on how to draw and paint beautiful, fashion illustration–style faces. Author Jane Davenport is a beloved artist and international workshop instructor known by her thousands of students and fans for her over-the-top, enthusiastic, happy, and encouraging style. In Drawing and Painting Beautiful Faces, Davenport guides you, step by step, through the foundations of drawing a face, developing successful features, creating skin tones, playing with bright colors, shading, highlighting, and much more as you learn to create amazing mixed-media portraits. With this elegantly designed guidebook, you will quickly master a variety of techniques in a variety ofmediums, including: Pencil Marker Pen Watercolor Acrylic paint Ink Pastel Ephemera Drawing and Painting Beautiful Faces will have you dancing your way through the exercises. In no time at all, you will have a selection of beautifully faced portraits ready to view, display, or even sell to a fashion designer.

Download or read book The Workshop Book written by Pamela Hamilton and published by Pearson UK. This book was released on 2016-07-26 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on methods developed - and proven – in business, this highly visual and practical book will show readers how to design, lead and run effective workshops. The tools you need to design and lead successful workshops yourself Ways to enhance the collective intelligence of any team, keeping them focussed and engaged Tricks and tips for structuring time to generate maximum productivity in a limited session Advice on how to find inspiration and creativity to generate great ideas for any industry or brief Workshop fundamentals, so you can add your own flair The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.

Download or read book Creating the One Shot Library Workshop written by Jerilyn Veldof and published by American Library Association. This book was released on 2006-03-13 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: From needs assessment through design and implementation to final evaluations, this practical guide takes librarians step by step through the workshop process. With a focus on practical applications, it shows instruction librarians how to make every minute count.

Download or read book Broadcast News Workshop 99 Proceedings written by Darpa and published by Morgan Kaufmann. This book was released on 1999-06-29 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Digital Skills and Life long Learning Digital Learning as a New Insight of Enhanced Learning by the Innovative Approach Joining Technology and Cognition written by Dina Di Giacomo and published by Frontiers Media SA. This book was released on 2019-03-01 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently, technology and aging have been key research areas in human cognition. The Research Topic “Digital Skills and Life-long Learning: Digital Learning as a New Insight of Enhanced Learning by the Innovative Approach Joining Technology and Cognition” investigated technology's impact on cognitive and intellective processes, highlighting how intensively technology can change and/or enhance the cognitive functioning throughout one’s lifespan. The aim of this Research Topic was to provide an outlook through multidisciplinary research and development while addressing the dynamic intersection of cognition, mind, and technology. Our scope was 1) to favor the cognitive technology debate, 2) to overcome the dichotomies of technology and psychology, 3) to emphasize the advances in knowledge and well-being. This Research Topic comprises review studies and original articles, focused on digital skills that enhance human potential. Transversal approaches and cross-sectorial analysis were encouraged, leading to investigation areas related to cognitive and mental processing—in educational, rehabilitation, clinical settings—across aging. Articles of high relevance to the Research Topic were submitted on the subjects of a) research in human performance and human factors, b) new research and technologies addressing the needs of a growing populace, and c) cognitive aging and cognitive rehabilitation research.

Download or read book Manual Training Toys for the Boy s Workshop written by Harris W. Moore and published by . This book was released on 1912 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Manual Training Toys for the Boy s Workshop written by Harris W. Moore and published by Good Press. This book was released on 2019-12-06 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Manual Training Toys for the Boy's Workshop" by Harris W. Moore. Published by Good Press. Good Press publishes a wide range of titles that encompasses every genre. From well-known classics & literary fiction and non-fiction to forgotten−or yet undiscovered gems−of world literature, we issue the books that need to be read. Each Good Press edition has been meticulously edited and formatted to boost readability for all e-readers and devices. Our goal is to produce eBooks that are user-friendly and accessible to everyone in a high-quality digital format.

Download or read book Leading Professional Development written by Mary H. Moen and published by Bloomsbury Publishing USA. This book was released on 2020-11-04 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows how LIS schools and professional organizations can help information professionals to continue their education after finishing formal programs to keep up with the growing demands of the field. As technology rapidly advances, the need for continuing education increases at an accelerating rate. Within 10–12 years of completing formal education, most information professionals' knowledge and skills become out of date, leaving them only half as able to meet the new demands of the profession. Additionally, the increase in online education programs for LIS students can limit their connection with practicing professionals and, in some locations, their engagement with diverse populations. LIS schools and professional development organizations, however, can support professional development in new and exciting ways. Readers will learn how faculty in LIS schools are innovating their courses and providing continuing education experiences. Taking advantage of the benefits of online, digital, and experiential learning projects, they are creating meaningful, collaborative learning opportunities between students and practitioners in the field. The book also addresses how social media tools can help online students experience interactive community learning and network within the profession before they start their positions.

Download or read book Data Science and Deep Learning Workshop For Scientists and Engineers written by Vivian Siahaan and published by BALIGE PUBLISHING. This book was released on 2021-11-04 with total page 1977 pages. Available in PDF, EPUB and Kindle. Book excerpt: WORKSHOP 1: In this workshop, you will learn how to use TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy and other libraries to implement deep learning on recognizing traffic signs using GTSRB dataset, detecting brain tumor using Brain Image MRI dataset, classifying gender, and recognizing facial expression using FER2013 dataset In Chapter 1, you will learn to create GUI applications to display line graph using PyQt. You will also learn how to display image and its histogram. In Chapter 2, you will learn how to use TensorFlow, Keras, Scikit-Learn, Pandas, NumPy and other libraries to perform prediction on handwritten digits using MNIST dataset with PyQt. You will build a GUI application for this purpose. In Chapter 3, you will learn how to perform recognizing traffic signs using GTSRB dataset from Kaggle. There are several different types of traffic signs like speed limits, no entry, traffic signals, turn left or right, children crossing, no passing of heavy vehicles, etc. Traffic signs classification is the process of identifying which class a traffic sign belongs to. In this Python project, you will build a deep neural network model that can classify traffic signs in image into different categories. With this model, you will be able to read and understand traffic signs which are a very important task for all autonomous vehicles. You will build a GUI application for this purpose. In Chapter 4, you will learn how to perform detecting brain tumor using Brain Image MRI dataset provided by Kaggle (https://www.kaggle.com/navoneel/brain-mri-images-for-brain-tumor-detection) using CNN model. You will build a GUI application for this purpose. In Chapter 5, you will learn how to perform classifying gender using dataset provided by Kaggle (https://www.kaggle.com/cashutosh/gender-classification-dataset) using MobileNetV2 and CNN models. You will build a GUI application for this purpose. In Chapter 6, you will learn how to perform recognizing facial expression using FER2013 dataset provided by Kaggle (https://www.kaggle.com/nicolejyt/facialexpressionrecognition) using CNN model. You will also build a GUI application for this purpose. WORKSHOP 2: In this workshop, you will learn how to use TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy and other libraries to implement deep learning on classifying fruits, classifying cats/dogs, detecting furnitures, and classifying fashion. In Chapter 1, you will learn to create GUI applications to display line graph using PyQt. You will also learn how to display image and its histogram. Then, you will learn how to use OpenCV, NumPy, and other libraries to perform feature extraction with Python GUI (PyQt). The feature detection techniques used in this chapter are Harris Corner Detection, Shi-Tomasi Corner Detector, and Scale-Invariant Feature Transform (SIFT). In Chapter 2, you will learn how to use TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy and other libraries to perform classifying fruits using Fruits 360 dataset provided by Kaggle (https://www.kaggle.com/moltean/fruits/code) using Transfer Learning and CNN models. You will build a GUI application for this purpose. In Chapter 3, you will learn how to use TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy and other libraries to perform classifying cats/dogs using dataset provided by Kaggle (https://www.kaggle.com/chetankv/dogs-cats-images) using Using CNN with Data Generator. You will build a GUI application for this purpose. In Chapter 4, you will learn how to use TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy and other libraries to perform detecting furnitures using Furniture Detector dataset provided by Kaggle (https://www.kaggle.com/akkithetechie/furniture-detector) using VGG16 model. You will build a GUI application for this purpose. In Chapter 5, you will learn how to use TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy and other libraries to perform classifying fashion using Fashion MNIST dataset provided by Kaggle (https://www.kaggle.com/zalando-research/fashionmnist/code) using CNN model. You will build a GUI application for this purpose. WORKSHOP 3: In this workshop, you will implement deep learning on detecting vehicle license plates, recognizing sign language, and detecting surface crack using TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy and other libraries. In Chapter 1, you will learn how to use TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy and other libraries to perform detecting vehicle license plates using Car License Plate Detection dataset provided by Kaggle (https://www.kaggle.com/andrewmvd/car-plate-detection/download). In Chapter 2, you will learn how to use TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy and other libraries to perform sign language recognition using Sign Language Digits Dataset provided by Kaggle (https://www.kaggle.com/ardamavi/sign-language-digits-dataset/download). In Chapter 3, you will learn how to use TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy and other libraries to perform detecting surface crack using Surface Crack Detection provided by Kaggle (https://www.kaggle.com/arunrk7/surface-crack-detection/download). WORKSHOP 4: In this workshop, implement deep learning-based image classification on detecting face mask, classifying weather, and recognizing flower using TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy and other libraries. In Chapter 1, you will learn how to use TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy and other libraries to perform detecting face mask using Face Mask Detection Dataset provided by Kaggle (https://www.kaggle.com/omkargurav/face-mask-dataset/download). In Chapter 2, you will learn how to use TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy and other libraries to perform how to classify weather using Multi-class Weather Dataset provided by Kaggle (https://www.kaggle.com/pratik2901/multiclass-weather-dataset/download). WORKSHOP 5: In this workshop, implement deep learning-based image classification on classifying monkey species, recognizing rock, paper, and scissor, and classify airplane, car, and ship using TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy and other libraries. In Chapter 1, you will learn how to use TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy and other libraries to perform how to classify monkey species using 10 Monkey Species dataset provided by Kaggle (https://www.kaggle.com/slothkong/10-monkey-species/download). In Chapter 2, you will learn how to use TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy and other libraries to perform how to recognize rock, paper, and scissor using 10 Monkey Species dataset provided by Kaggle (https://www.kaggle.com/sanikamal/rock-paper-scissors-dataset/download). WORKSHOP 6: In this worksshop, you will implement two data science projects using Scikit-Learn, Scipy, and other libraries with Python GUI. In Chapter 1, you will learn how to use Scikit-Learn, Scipy, and other libraries to perform how to predict traffic (number of vehicles) in four different junctions using Traffic Prediction Dataset provided by Kaggle (https://www.kaggle.com/fedesoriano/traffic-prediction-dataset/download). This dataset contains 48.1k (48120) observations of the number of vehicles each hour in four different junctions: 1) DateTime; 2) Juction; 3) Vehicles; and 4) ID. In Chapter 2, you will learn how to use Scikit-Learn, NumPy, Pandas, and other libraries to perform how to analyze and predict heart attack using Heart Attack Analysis & Prediction Dataset provided by Kaggle (https://www.kaggle.com/rashikrahmanpritom/heart-attack-analysis-prediction-dataset/download). WORKSHOP 7: In this workshop, you will implement two data science projects using Scikit-Learn, Scipy, and other libraries with Python GUI. In Project 1, you will learn how to use Scikit-Learn, NumPy, Pandas, Seaborn, and other libraries to perform how to predict early stage diabetes using Early Stage Diabetes Risk Prediction Dataset provided by Kaggle (https://www.kaggle.com/ishandutta/early-stage-diabetes-risk-prediction-dataset/download). This dataset contains the sign and symptpom data of newly diabetic or would be diabetic patient. This has been collected using direct questionnaires from the patients of Sylhet Diabetes Hospital in Sylhet, Bangladesh and approved by a doctor. You will develop a GUI using PyQt5 to plot distribution of features, feature importance, cross validation score, and prediced values versus true values. The machine learning models used in this project are Adaboost, Random Forest, Gradient Boosting, Logistic Regression, and Support Vector Machine. In Project 2, you will learn how to use Scikit-Learn, NumPy, Pandas, and other libraries to perform how to analyze and predict breast cancer using Breast Cancer Prediction Dataset provided by Kaggle (https://www.kaggle.com/merishnasuwal/breast-cancer-prediction-dataset/download). Worldwide, breast cancer is the most common type of cancer in women and the second highest in terms of mortality rates.Diagnosis of breast cancer is performed when an abnormal lump is found (from self-examination or x-ray) or a tiny speck of calcium is seen (on an x-ray). After a suspicious lump is found, the doctor will conduct a diagnosis to determine whether it is cancerous and, if so, whether it has spread to other parts of the body. This breast cancer dataset was obtained from the University of Wisconsin Hospitals, Madison from Dr. William H. Wolberg. You will develop a GUI using PyQt5 to plot distribution of features, pairwise relationship, test scores, prediced values versus true values, confusion matrix, and decision boundary. The machine learning models used in this project are K-Nearest Neighbor, Random Forest, Naive Bayes, Logistic Regression, Decision Tree, and Support Vector Machine. WORKSHOP 8: In this workshop, you will learn how to use Scikit-Learn, TensorFlow, Keras, NumPy, Pandas, Seaborn, and other libraries to implement brain tumor classification and detection with machine learning using Brain Tumor dataset provided by Kaggle. This dataset contains five first order features: Mean (the contribution of individual pixel intensity for the entire image), Variance (used to find how each pixel varies from the neighboring pixel 0, Standard Deviation (the deviation of measured Values or the data from its mean), Skewness (measures of symmetry), and Kurtosis (describes the peak of e.g. a frequency distribution). It also contains eight second order features: Contrast, Energy, ASM (Angular second moment), Entropy, Homogeneity, Dissimilarity, Correlation, and Coarseness. The machine learning models used in this project are K-Nearest Neighbor, Random Forest, Naive Bayes, Logistic Regression, Decision Tree, and Support Vector Machine. The deep learning models used in this project are MobileNet and ResNet50. In this project, you will develop a GUI using PyQt5 to plot boundary decision, ROC, distribution of features, feature importance, cross validation score, and predicted values versus true values, confusion matrix, training loss, and training accuracy. WORKSHOP 9: In this workshop, you will learn how to use Scikit-Learn, Keras, TensorFlow, NumPy, Pandas, Seaborn, and other libraries to perform COVID-19 Epitope Prediction using COVID-19/SARS B-cell Epitope Prediction dataset provided in Kaggle. All of three datasets consists of information of protein and peptide: parent_protein_id : parent protein ID; protein_seq : parent protein sequence; start_position : start position of peptide; end_position : end position of peptide; peptide_seq : peptide sequence; chou_fasman : peptide feature; emini : peptide feature, relative surface accessibility; kolaskar_tongaonkar : peptide feature, antigenicity; parker : peptide feature, hydrophobicity; isoelectric_point : protein feature; aromacity: protein feature; hydrophobicity : protein feature; stability : protein feature; and target : antibody valence (target value). The machine learning models used in this project are K-Nearest Neighbor, Random Forest, Naive Bayes, Logistic Regression, Decision Tree, Support Vector Machine, Adaboost, Gradient Boosting, XGB classifier, and MLP classifier. Then, you will learn how to use sequential CNN and VGG16 models to detect and predict Covid-19 X-RAY using COVID-19 Xray Dataset (Train & Test Sets) provided in Kaggle. The folder itself consists of two subfolders: test and train. Finally, you will develop a GUI using PyQt5 to plot boundary decision, ROC, distribution of features, feature importance, cross validation score, and predicted values versus true values, confusion matrix, training loss, and training accuracy. WORKSHOP 10: In this workshop, you will learn how to use Scikit-Learn, Keras, TensorFlow, NumPy, Pandas, Seaborn, and other libraries to perform analyzing and predicting stroke using dataset provided in Kaggle. The dataset consists of attribute information: id: unique identifier; gender: "Male", "Female" or "Other"; age: age of the patient; hypertension: 0 if the patient doesn't have hypertension, 1 if the patient has hypertension; heart_disease: 0 if the patient doesn't have any heart diseases, 1 if the patient has a heart disease; ever_married: "No" or "Yes"; work_type: "children", "Govt_jov", "Never_worked", "Private" or "Self-employed"; Residence_type: "Rural" or "Urban"; avg_glucose_level: average glucose level in blood; bmi: body mass index; smoking_status: "formerly smoked", "never smoked", "smokes" or "Unknown"; and stroke: 1 if the patient had a stroke or 0 if not. The models used in this project are K-Nearest Neighbor, Random Forest, Naive Bayes, Logistic Regression, Decision Tree, Support Vector Machine, Adaboost, LGBM classifier, Gradient Boosting, XGB classifier, MLP classifier, and CNN 1D. Finally, you will develop a GUI using PyQt5 to plot boundary decision, ROC, distribution of features, feature importance, cross validation score, and predicted values versus true values, confusion matrix, learning curve, performace of the model, scalability of the model, training loss, and training accuracy. WORKSHOP 11: In this workshop, you will learn how to use Scikit-Learn, Keras, TensorFlow, NumPy, Pandas, Seaborn, and other libraries to perform classifying and predicting Hepatitis C using dataset provided by UCI Machine Learning Repository. All attributes in dataset except Category and Sex are numerical. Attributes 1 to 4 refer to the data of the patient: X (Patient ID/No.), Category (diagnosis) (values: '0=Blood Donor', '0s=suspect Blood Donor', '1=Hepatitis', '2=Fibrosis', '3=Cirrhosis'), Age (in years), Sex (f,m), ALB, ALP, ALT, AST, BIL, CHE, CHOL, CREA, GGT, and PROT. The target attribute for classification is Category (2): blood donors vs. Hepatitis C patients (including its progress ('just' Hepatitis C, Fibrosis, Cirrhosis). The models used in this project are K-Nearest Neighbor, Random Forest, Naive Bayes, Logistic Regression, Decision Tree, Support Vector Machine, Adaboost, LGBM classifier, Gradient Boosting, XGB classifier, MLP classifier, and ANN 1D. Finally, you will develop a GUI using PyQt5 to plot boundary decision, ROC, distribution of features, feature importance, cross validation score, and predicted values versus true values, confusion matrix, learning curve, performace of the model, scalability of the model, training loss, and training accuracy.

Download or read book Gaillard s Medical Journal and the American Medical Weekly written by and published by . This book was released on 1877 with total page 700 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Report of the Regional Workshop for Asia and the Pacific Region on the Development of a Registry of Farmed Types of Aquatic Genetic Resources Incorporating a review of strategic priorities for a Global Plan of Action Virtual Workshop 8 12 June 2020 written by Food and Agriculture Organization of the United Nations and published by Food & Agriculture Org.. This book was released on 2021-02-28 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report summarizes the proceedings and outcomes of the “Regional Workshop for Asia and the Pacific on the Development of a Global Information System for Farmed Types of Aquatic Genetic Resources (incorporating a review of strategic priorities for a Global Plan of Action)” held from 8 to 12 June 2020. The final wrap-up session was held on 22 June 2020. This workshop, supported financially by the Government of Germany, was the second in a series of regional workshops held to generate feedback on the Registry of Farmed Types of Aquatic Genetic Resources (Registry) being developed by FAO in response to the findings of the first report on The State of the World’s Aquatic Genetic Resources for Food and Agriculture (SoW-AqGR) prepared under the guidance of the Commission on Genetic Resources for Food and Agriculture (Commission) and launched by FAO in 2019. As requested by the Commission, the workshop also sought feedback on an outline of a Global Plan of Action for Aquatic Genetic Resources for Food and Agriculture (GPA. The workshop was originally planned to be held face to face in early 2020 but was eventually cancelled due to the challenges of the Covid-19 pandemic.