Seems you have not registered as a member of localhost.saystem.shop!
You may have to register before you can download all our books and magazines, click the sign up button below to create a free account.
A Reforma Trabalhista
As relações de trabalho no Brasil e no mundo vêm passando por grandes e profundas transformações sociais e econômicas. A base tecnológica do modelo tradicional de produção capitalista, forjada no século XX, está em franco processo de mutação. É a velha roda da história novamente em ação, mas, agora, agindo com uma velocidade nunca antes vista na história da humanidade. Nesse contexto, a pandemia da Covid-19 potencializou e revelou ainda mais capacidade de resiliência e de adaptação do ser humano e do Direito a esse cenário desafiador. O teletrabalho, a subordinação algorítmica, a uberização (e a youtuberização) das relações de trabalho, a gig economy, o crowdwo...
Uniting Knowledge Integrated Scientific Research For Global Development
description not available right now.
Insect Pests in Tropical Forestry
"The management of tropical forest ecosystems is essential to the health of the planet. This book addresses forest insect pest problems across the world's tropics, addressing the pests' ecology, impact and possible approaches for their control. Fully updated, this second edition also includes discussions of new areas of interest including climate change, invasive species, forest health and plant clinics. This work is an indispensible resource for students, researchers and practitioners of forestry, ecology, pest management and entomology in tropical and subtropical countries."--pub. desc.
Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology
This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2020, and the Second International Workshop on Radiogenomics in Neuro-oncology, RNO-AI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020.* For MLCN 2020, 18 papers out of 28 submissions were accepted for publication. The accepted papers present novel contributions in both developing new machine learning methods and applications of existing methods to solve challenging problems in clinical neuroimaging. For RNO-AI 2020, all 8 submissions were accepted for publication. They focus on addressing the problems of applying machine learning to large and multi-site clinical neuroimaging datasets. The workshop aimed to bring together experts in both machine learning and clinical neuroimaging to discuss and hopefully bridge the existing challenges of applied machine learning in clinical neuroscience. *The workshops were held virtually due to the COVID-19 pandemic.
Fungal Secondary Metabolism
Filamentous fungi have long been known for their ability to produce an enormous range of unusual chemical compounds known as secondary metabolites, many of which have potentially useful antibiotic or pharmacological properties. Recent focus on fungal genomics coupled with advances in detection and molecular manipulation techniques has galvanized a revitalization of this field. Fungal Secondary Metabolism: Methods and Protocols is aimed at providing the key methodologies currently in use and necessary for accessing and exploiting the natural product information provided by the genomes of this large and varied kingdom. Written by active researchers in the field, the chapters deal with all the ...
Radiomics and Radiogenomics in Neuro-oncology
This book constitutes the proceedings of the First International Workshop on Radiomics and Radiogenomics in Neuro-oncology, RNO-AI 2019, which was held in conjunction with MICCAI in Shenzhen, China, in October 2019. The 10 full papers presented in this volume were carefully reviewed and selected from 15 submissions. They deal with the development of tools that can automate the analysis and synthesis of neuro-oncologic imaging.
Object-Based Image Analysis
This book brings together a collection of invited interdisciplinary persp- tives on the recent topic of Object-based Image Analysis (OBIA). Its c- st tent is based on select papers from the 1 OBIA International Conference held in Salzburg in July 2006, and is enriched by several invited chapters. All submissions have passed through a blind peer-review process resulting in what we believe is a timely volume of the highest scientific, theoretical and technical standards. The concept of OBIA first gained widespread interest within the GIScience (Geographic Information Science) community circa 2000, with the advent of the first commercial software for what was then termed ‘obje- oriented image analysis’. However, it is widely agreed that OBIA builds on older segmentation, edge-detection and classification concepts that have been used in remote sensing image analysis for several decades. Nevert- less, its emergence has provided a new critical bridge to spatial concepts applied in multiscale landscape analysis, Geographic Information Systems (GIS) and the synergy between image-objects and their radiometric char- teristics and analyses in Earth Observation data (EO).
Biology and Biotechnology of Actinobacteria
This book provides in-depth insights into the biology, taxonomy, genetics, physiology and biotechnological applications of Actinobacteria. It especially focuses on the latter, reviewing the wide variety of actinobacterial bioactive molecules and their benefits for diverse industrial applications such as agriculture, aquaculture, biofuel production and food technology. Actinobacteria are one of the most promising sources of small bioactive molecules and it is estimated that only a small percentage of actinobacterial bioactive chemicals have been discovered to date. Identifying new diverse gene clusters of biotechnological relevance in the genome of Actinobacteria will be crucial to developing advanced applications for pharmaceutical, industrial and agricultural purposes. The book offers a unique resource for all graduate students, researchers and practitioners in the fields of microbiology, microbial biotechnology, and the genetic engineering of Actinobacteria.
Machine Learning in Clinical Neuroimaging
This book constitutes the refereed proceedings of the 4th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2021, held on September 27, 2021, in conjunction with MICCAI 2021. The workshop was held virtually due to the COVID-19 pandemic. The 17 papers presented in this book were carefully reviewed and selected from 27 submissions. They were organized in topical sections named: computational anatomy and brain networks and time series.
