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Constitutional Conflicts in Contemporary Malaysia - Hp Lee - Bog - Oxford University Press - Plusbog.dk

Hardy Spaces on Homogeneous Groups - Gerald B. Folland - Bog - Princeton University Press - Plusbog.dk

Computer Law - Chris Reed - Bog - Oxford University Press - Plusbog.dk

Advances in Occupational and Environmental Lung Diseases An Issue of Clinics in Chest Medicine - - Bog - Elsevier - Health Sciences Division -

Advances in Occupational and Environmental Lung Diseases An Issue of Clinics in Chest Medicine - - Bog - Elsevier - Health Sciences Division -

This issue of Clinics in Chest Medicine, guest-edited by Drs. Carrie A. Redlich, Kristin J. Cummings, and Peggy Lai, is focused on Advances in Occupational and Environmental Lung Diseases. Topics discussed in this issue include but are not limited to: Master Clinician - selected occupational and environmental pulmonary cases; Chest imaging in the Diagnosis of Occupational Lung Diseases; Harnessing electronic medical records to enhance the diagnosis of work-related lung diseases; The impact of health disparities on lung disease; Respiratory health effects of exposure to cleaning products; Occupational upper airways disorders, including laryngeal dysfunction; Occupational bronchiolitis - including flavoring-related lung disease, deployment; Coal workers pneumoconiosis and other mining-related lung disease: the re-emergence of an old disease (including COPD in miners); Occupational contributions to ILD (including asbestos, overlap HP and ILD); Silicosis - Persistence of an old disease, old and new exposure settings and prevention; Occupational respiratory cancer: Chest CT screening; Occupational respiratory Infections: pneumonia, healthcare workers; Update on climate change: its impact on respiratory health at work, home, and at play; The changing nature of wildfires: update on the respiratory health of first responders and communities; The microbiome and damp Indoor environments; The on-going impact of World Trade Center exposures on respiratory health; The impact of Electronic cigarettes and smoking cessation; The respiratory risks of ambient /outdoor air pollution; and Indoor air pollution and respiratory health.

DKK 810.00
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Optimizing Corporate Portfolio Management - Anand Sanwal - Bog - John Wiley & Sons Inc - Plusbog.dk

Optimizing Corporate Portfolio Management - Anand Sanwal - Bog - John Wiley & Sons Inc - Plusbog.dk

If where an organization allocates its resources determines its strategy, why is it that so few companies actively manage the resource allocation process? "Optimizing Corporate Portfolio Management: Aligning Investment Proposals with Organizational Strategy" goes beyond platitudes about why you should use corporate portfolio management (CPM) by offering a practical methodology to bring this powerful discipline to your organization. "Optimizing Corporate Portfolio Management" takes an expansive view of where CPM can be utilized by demonstrating that it can be used across any business line, product group or functional area, e.g., IT, R&D, innovation, marketing, salesforce, capital expenditure, etc. CPM is appropriate anywhere discretionary investments are being selected and executed. As a result, other terms used to describe portfolio management such as IT portfolio management, enterprise portfolio management, and project portfolio management are all merely subsets or slices of CPM. The book is written by Anand Sanwal, an expert on CPM, who has led American Express'' CPM discipline (referred to as American Express Investment Optimization). American Express'' CPM efforts are widely recognized as the most extensive, substantial and progressive deployment of CPM across any organization. Sanwal avoids academic theories and consultant jargon to ultimately deliver pragmatic and proven recommendations on how to make CPM a reality. The book features a foreword by Gary Crittenden, former CFO and EVP of American Express, and several case studies from leading financial services, technology, and government organizations utilizing CPM. Additionally, the book has received significant praise from thought leaders at Google, HP, American Express, The CFO Executive Board, Gartner, Accenture Marketing Sciences, The Wharton School of Business and many others.

DKK 1083.00
1

Computational Science – ICCS 2021 - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Computational Science – ICCS 2021 - - Bog - Springer Nature Switzerland AG - Plusbog.dk

The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.* The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 full and 14 short papers were accepted to the main track from 156 submissions; 212 full and 43 short papers were accepted to the workshops/ thematic tracks from 479 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Biomedical and Bioinformatics Challenges for Computer Science Part III: Classifier Learning from Difficult Data; Computational Analysis of Complex Social Systems; Computational Collective Intelligence; Computational Health Part IV: Computational Methods for Emerging Problems in (dis-)Information Analysis; Computational Methods in Smart Agriculture; Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems Part V: Computer Graphics, Image Processing and Artificial Intelligence; Data-Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; MeshFree Methods and Radial Basis Functions in Computational Sciences; Multiscale Modelling and Simulation Part VI: Quantum Computing Workshop; Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainty; Teaching Computational Science; Uncertainty Quantification for Computational Models *The conference was held virtually. Chapter "Deep Learning Driven Self-adaptive hp Finite Element Method" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

DKK 967.00
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