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The book presents the latest advances, innovations, and applications in the field of innovative medicine facilities, as presented by architects and engineers at the International Scientific and Practical Conference Engineering, Construction and Infrastructure Solutions for Innovative Medicine Facilities, held in St. Petersburg, Russia, on May 19-21, 2021. It covers a wide diversity of topics, including the global challenges of our time and the challenges of developing the infrastructure of innovative medicine; current issues of engineering and construction of medical facilities during the pandemic; current issues of engineering and construction of biomedical research infrastructure; formation and development of a comfortable environment for the protection of public health; biological and environmental safety in the engineering, construction and technical operation of biomedical facilities. The contributions, which were selected by means of a rigorous international peer-review process, highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaborations.
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.* The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging – others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound *The conference was held virtually.
This book constitutes the proceedings of the 17th IFIP WG 11.12 International Symposium on Human Aspects of Information Security and Assurance, HAISA 2023, held in Kent, United Kingdom, in July 2023. The 37 full papers presented in this volume were carefully reviewed and selected from 54 submissions. They are organized in the following topical sections: education and training; management, policy and skills; evolving threats and attacks; social-technical factors; and research methods.
Proceedings of the 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023), July 20–24, 2023, San Francisco, USA
This book features state-of-the-art contributions from two well-established conferences: Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV2020) and Mass Customization and Personalization Conference (MCPC2020). Together, they focus on the joint design, development, and management of products, production systems, and business for sustainable customization and personalization. The book covers a large range of topics within this domain, ranging from industrial success factors to original contributions within the field.
This book discusses the existing management approaches for dealing with changes, namely readiness, maturity, and resilience. Although these concepts have been discussed for several years now, their importance grows when companies must deal with extended changes in economies. The changes are of a different nature: social, technological, and political, and they strongly impact every aspect of economies and companies’ activity. Is it possible to be ready for the changes? Should companies be resilient to disruption? These are the questions the managers are trying to answer, yet they need some support from academics. This book explores the synergy between the state-of-the-art knowledge and experience of companies to create a Contemporary Management Model. The scope of this book covers the methodology with an introduction and discussion of the key ideas and concludes with a presentation of the Contemporary Management Model followed by the practical validation and verification of the model based on case studies. This book is simply about developing the readiness and resilience of resources and processes, especially from a tactical perspective.
A book focused solely on Andean Cloud Forests (ACF) has never been published. ACF are high biodiversity ecosystems in the Neotropics with a large proportion of endemic species, and are important for the hydrology of entire regions. They provide water for large parts of the Amazon basin, for example. Here I take advantage of my many years working in ACF in Ecuador, to edit this book that contains the following sections: (1) ACF over space and time, (2) Hydrology, (3) Light and the Carbon cycle, (4) Soil, litter, fungi and nutrient cycling, (5) Plants, (6) Animals, and (7) Human impacts and management. Under this premise, international experts contributed chapters that consist of reviews of what is known about their topic, of what research they have done, and of what needs to be done in the future. This work is suitable for graduate students, professors, scientists, and researcher-oriented managers.
The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learning – explainability, bias and uncertainty; image segmentation; Part IV: Image segmentation; Part V: Computer-aided diagnosis; Part VI: Computer-aided diagnosis; computational pathology; Part VII: Clinical applications – abdomen; clinical applications – breast; clinical applications – cardiac; clinical applications – dermatology; clinical applications – fetal imaging; clinical applications – lung; clinical applications – musculoskeletal; clinical applications – oncology; clinical applications – ophthalmology; clinical applications – vascular; Part VIII: Clinical applications – neuroimaging; microscopy; Part IX: Image-guided intervention, surgical planning, and data science; Part X: Image reconstruction and image registration.