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1. |
Record Nr. |
UNINA9910463622703321 |
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Autore |
Lachapelle Sofie |
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Titolo |
Investigating the supernatural : from spiritism and occultism to psychical research and metapsychics in France, 1853-1931 / / Sofie Lachapelle |
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Pubbl/distr/stampa |
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Baltimore : , : Johns Hopkins University Press, , 2011 |
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ISBN |
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Descrizione fisica |
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1 online resource (198 p. ) : ill. ; |
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Classificazione |
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Disciplina |
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Soggetti |
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Occultism - France - History - 19th century |
Occultism - France - History - 20th century |
Supernatural - France - History - 19th century |
Supernatural - France - History - 20th century |
Parapsychology - France - History - 19th century |
Parapsychology - France - History - 20th century |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references (pages [179]-186) and index. |
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Nota di contenuto |
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From turning tables to spiritism -- Occult wisdoms, astral bodies, and human fluids -- Pathologies of the supernatural -- Witnessing and testifying to psychical phenomena -- The rise and fall of metapsychics. |
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2. |
Record Nr. |
UNINA9911049218303321 |
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Autore |
Jarboui Bassem |
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Titolo |
Circular Economy Supply Chains : Optimizing via Data Science / / edited by Bassem Jarboui, Said Toumi, Patrick Siarry |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2026 |
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ISBN |
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Edizione |
[1st ed. 2026.] |
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Descrizione fisica |
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1 online resource (322 pages) |
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Collana |
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Computational Intelligence Methods and Applications, , 2510-1773 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Data mining |
Data structures (Computer science) |
Information theory |
Artificial intelligence - Data processing |
Business logistics |
Data Mining and Knowledge Discovery |
Data Structures and Information Theory |
Data Science |
Supply Chain Management |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Part I:"Optimizing Circularity with Operations Research". "CHAPTER 1:Leveraging Optimization for the Circular Economy: A Reverse Logistics Routing and Location Perspective" -- "CHAPTER 2:Designing a closed-loop supply chain network considering uncertain dynamic demand and production quality" -- "CHAPTER 3:Applying a simulated annealing embedded genetic algorithm for solving a concurrent stochastic supply chain and product family design with the location-allocation of retailers -- "CHAPTER 4:Advancing Sustainability through Operational Research in Circular Supply Chains: Trends and Opportunities" -- "CHAPTER 5:Theory and Research Concerning the Circular Economy Model and Future Trend" -- "CHAPTER 6:Sales center location, green open vehicle routing for product transport in the urban context, and their future perspectives with the circular economy". PART II:"Data Science for Smarter Circular Supply". "CHAPTER 7:Implementing Sustainability and Project Management Outcomes" -- "CHAPTER 8:Driving Sustainable |
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Circularity with Reverse Logistics in Halal Sectors to Degrade Ecological Footprints: Evidence in ASEAN-5" -- "CHAPTER 9:Circular logistics and operations: Transportation across a product’s lifecycle" -- "CHAPTER 10:Impact of demand forecasting on environmental performance of coffee supply chain in Vietnam" -- "CHAPTER 11:Exploring Global Food Security Index: A Case Study of Indonesia". |
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Sommario/riassunto |
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The escalating tide of waste and environmental threats demands a paradigm shift in how we produce and consume waste. The circular economy emerges as a beacon of hope, offering a transformative approach that breaks free from the traditional "take make dispose" model. This innovative system prioritizes sustainable practices throughout a product's lifecycle, promoting reuse, recycling, and regeneration. By fostering the development of robust and closed loop supply chains, the circular economy ensures that resources are kept in use for as long as possible, thus minimizing waste and environmental impact. To achieve these ambitious goals, the circular economy leverages cutting edge technologies such as operations research and data science. These tools empower businesses by constructing decision support systems that effectively handle complex environmental and economic constraints. Operational research helps in optimizing resource allocation, production processes, and logistics, while data science provides insights through data analysis and predictive modeling. This book aims to detail the application of operations research and data science methods as decision support systems to manage complex constraints. This book presents the most recent advancements and real-world applications of these methods within the framework of supply chain management in the circular economy. Additionally, it explores case studies that highlight successful implementations and the benefits achieved. The book offers comprehensive insights and practical applications, serving as a valuable guide for students, researchers, and professionals looking to drive sustainability in their organizations and communities. |
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