{"text_format":"2","workbook":"xls","n_sheets":1,"sheets":["report2"],"not_rendered":{"charts":0,"images":0,"macros":0,"external_links":1,"defined_names":3,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"run_cost":"one","rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"report2","index":0,"n_rows":64,"n_cols":5,"rows_kept":64,"cut":false,"hidden":false,"merged":[[0,2,0,3],[0,4,0,5],[1,2,1,3],[1,4,1,5],[2,2,2,3],[2,4,2,5],[3,2,3,3],[4,2,4,3],[9,2,9,3],[10,2,10,3],[11,2,11,3],[12,2,12,3],[15,2,15,3],[16,2,16,3],[20,2,20,3],[28,2,28,3],[28,4,28,5],[29,2,29,3],[29,4,29,5],[30,2,30,3],[31,2,31,3],[32,2,32,3],[36,2,36,3],[37,2,37,3],[40,2,40,3],[40,4,40,5],[41,2,41,3],[41,4,41,5],[42,2,42,3],[42,4,42,5],[43,2,43,3],[44,2,44,3],[46,2,46,3],[47,2,47,3],[48,2,48,3],[49,2,49,3],[50,2,50,3],[58,2,58,3],[59,2,59,3],[61,2,61,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNINA9910145698003321"]
[null,null,"Autore",null,"Smith P. G (Peter Geoffrey), <1954->"]
[null,null,"Titolo",null,"Applications of fluidisation in food processing [[electronic resource] /] / P.G. Smith"]
[null,null,"Pubbl/distr/stampa",null,"Oxford ; ; Ames, Iowa, : Blackwell Science, c2007"]
[null,null,"ISBN",null,"0-470-69794-6"]
[{"$nulls":4},"1-281-31205-3"]
[{"$nulls":4},"9786611312053"]
[{"$nulls":4},"0-470-99542-4"]
[{"$nulls":4},"0-470-99541-6"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (264 p.)"]
[null,null,"Disciplina",null,"664/.024"]
[null,null,"Soggetti",null,"Fluidization"]
[{"$nulls":4},"Fluid dynamics"]
[{"$nulls":4},"Food industry and trade"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Applications of Fluidization to Food Processing; Contents; Preface; Glossary; Part One: Fundamentals of Fluidization; 1 A Description of Fluidized Bed Behaviour; An introduction to fluidization; Industrial applications of fluidization; Applications of fluidization in the food industry; Gas-solid fluidized bed behaviour; Influence of gas velocity; Geldart's classification; Bubbles and particle movement; Bubble formation at the distributor; Bubble growth and bubble shape; Minimum bubbling velocity; Bubble rise velocity; Particle movement due to bubble motion; Distributor plate design"]
[{"$nulls":4},"Characterisation of particulate solidsParticle size distribution; Mean particle size; Particle shape; Bulk particle properties; Terminal falling velocity and particle drag coefficient; Minimum fluidizing velocity in aggregative fluidization; Voidage and pressure drop at incipient fluidization; Carman-Kozeny equation; Ergun equation; Minimum fluidizing velocity as a function of terminal falling velocity; Semi-empirical correlations; Experimental measurement; Fluidized bed behaviour at high gas velocities; Slugging; Turbulent fluidization and fast fluidization; Elutriation and entrainment"]
[{"$nulls":4},"Other types of fluidizationSpouted beds; Centrifugal fluidization; Particulate fluidization; Nomenclature; References; 2 Characteristics of "]
[{"$nulls":4},"Aggregative Fluidization; Heat transfer; Correlations for heat transfer coefficients; Bed-surface heat transfer; Gas-particle heat transfer; Gas-particle heat transfer coefficient; Mass transfer; Correlations for mass transfer coefficients; Gas-particle mass transfer; Mixing; Introduction; Mechanisms of solids mixing; Mixing in fluidized beds; Vertical mixing of solids: the dispersion model; Rate of mixing; Mixing and segregation of dissimilar particles"]
[{"$nulls":4},"MechanismsPatterns of particle segregation; Examples of fluidized bed segregation; Nomenclature; References; Part Two: Applications; 3 Freezing; Low-temperature preservation of foods; Introduction; Industrial freezing equipment; Fluidized bed freezing; Capacity of fluidized bed freezers; Freezing rate and freezing point of foods; Prediction of freezing time; Design of fluidized bed freezers; Introduction; Heat transfer in fluidized bed freezers; Mixing, dispersion and residence time; Applications of fluidized bed freezing; Nomenclature; References; 4 Drying; Introduction; Principles of drying"]
[{"$nulls":4},"Water activityEffect of water activity on microbial growth; Effect of drying on food structure; Isotherms and equilibrium; Drying kinetics; Classification of driers; Fluidized bed drying; Material and energy balances; The well-mixed drier; The plug flow drier; Variations in fluidized bed drier design; Other fluidized bed drying techniques; Vibro-fluidization; Mechanical agitation; Centrifugal fluidization; Spouted bed drying; Microwave drying; Nomenclature; References; 5 Granulation; Granulation and particle growth; Particle-particle bonding; Bonding mechanisms"]
[{"$nulls":4},"Growth mechanisms in granulation"]
[null,null,null,"Sommario/riassunto","Fluidization is a technique that enables solid particles to take on some of the properties of a fluid. Despite being very widely used within the food processing industry, understanding of this important technique is often limited.Applications of Fluidization to Food Processing sets out the established theory of fluidization and relates this to food processing applications, particularly in:* Drying* Freezing* Mixing* Granulation* FermentationThis important and thorough book, written by Peter Smith, who has many years' experience teaching and researching in fo"]
[null,"2.","Record Nr.",null,"UNINA9910138892003321"]
[null,null,"Titolo",null,"Annales Academiae Scientiarum Fennicae Mathematica"]
[null,null,"Pubbl/distr/stampa",null,"Helsinki, : Suomalainen tiedeakatemia, 1996-2020"]
[null,null,"ISSN",null,"1798-2383"]
[null,null,"Soggetti",null,"Mathematics"]
[{"$nulls":4},"Mathematik"]
[{"$nulls":4},"31.00 mathematics: general"]
[{"$nulls":4},"Schriftenreihe"]
[null,null,"Lingua di pubblicazione",null,"Molteplice"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Periodico"]
[null,null,null,"Note generali","Refereed/Peer-reviewed"]
[null,"3.","Record Nr.",null,"UNINA9910865238203321"]
[null,null,"Autore",null,"Sevaux Marc"]
[null,null,"Titolo",null,"Metaheuristics : 15th International Conference, MIC 2024, Lorient, France, June 4–7, 2024, Proceedings, Part I / / edited by Marc Sevaux, Alexandru-Liviu Olteanu, Eduardo G. Pardo, Angelo Sifaleras, Salma Makboul"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024"]
[null,null,"ISBN",null,"9783031629129"]
[{"$nulls":4},"9783031629112"]
[null,null,"Edizione",null,"[1st ed. 2024.]"]
[null,null,"Descrizione fisica",null,"1 online resource (404 pages)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science, , 1611-3349 ; ; 14753"]
[null,null,"Disciplina",null,"40,151"]
[null,null,"Soggetti",null,"Computer science"]
[{"$nulls":4},"Mathematics - Data processing"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Theory of Computation"]
[{"$nulls":4},"Computational Mathematics and Numerical Analysis"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Computer and Information Systems Applications"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Advances in Combinatorial Optimization -- Breakout Local Search for Heaviest Subgraph Problem -- A Biased Random Key Genetic Algorithm for solving the α neighbor p center problem -- A Continuous GRASP Random Key Optimizer -- Adaptive Ant Colony Optimization Using Node Clustering with Simulated Annealing -- Job Shop Scheduling with robot synchronization for transport operations -- AI and metaheuristics for routing -- SIRO A deep learning based next generation optimizer for solving global optimization problems -- Investigation of the Benefit of Extracting Patterns from Local Optima to solve a Bi objective VRPTW -- A Memetic Algorithm for Large Scale Real World Vehicle Routing Problems with Simultaneous Pickup and Delivery with Time Windows -- Tabu Search for Solving Covering Salesman Problem with Nodes and Segments -- GRASP with PATH RELINKING -- VNS with Path Relinking for the Profitable Close Enough Arc Routing Problem -- Meta heuristics for preference learning -- A simulated "]
[{"$nulls":4},"annealing algorithm to learn an RMP preference model -- New VRP and extensions -- Iterative Heuristic over Periods for the Inventory Routing Problem -- Combining Heuristics and Constraint Programming for the Parallel Drone Scheduling Vehicle Routing Problem with Collective Drones -- Operations Research for Health Care -- A Re optimization Heuristic for a Dial a Ride Problem in the Transportation of Patients -- Solving the Integrated Patient to Room and Nurse to Patient Assignment by Simulated Annealing -- Enhancing Real World Applicability in Home Healthcare A Metaheuristic Approach for Advanced Routing and Scheduling -- Solving the Two Stage Robust Elective Patient Surgery Planning under Uncertainties with Intensive Care Unit Beds Availability -- Extracting White box Knowledge from Word Embedding Modeling as an Optimization Problem -- A hybrid biased randomized heuristic for a home care problem with team scheme selection -- Optimization for forecasting -- Extended set covering for time series segmentation -- Quantum meta heuristic for Operations Research -- Indirect Flow Shop coding using rank application to Indirect QAOA -- Utilizing Graph Sparsification for Pre processing in Max Cut QUBO Solver -- Addressing Machine Unavailability in Job Shop Scheduling A Quantum Computing Approach -- Solving Edge weighted Maximum Clique problem with DCA warm start Quantum Approximate Optimization Algorithm -- Comparing Integer Encodings in QUBO for Quantum and Digital Annealing The Travelling Salesman Problem -- Solving Quadratic knapsack problem with biased quantum state Optimization Algorithm -- Quantum Optimization Approach for Feature Selection in Machine Learning -- International Conference on Variable Neighborhood Search (ICVNS) -- Advanced Algorithms for the Reclaimer Scheduling Problem with Sequence Dependent Setup Times and Availability Constraints -- An efficient algorithm for the T row facility layout problem -- Interpretability Adaptability and Scalability of Variable Neighborhood Search -- Exploring the integration of General Variable Neighborhood Search with exact procedures for the optimization of the Order Batching Problem -- VNS based matheuristic approach to Group Steiner Tree with problem specific node release strategy -- A Basic Variable Neighborhood Search for the planar Obnoxious Facility Location Problem -- Temporal Action Analysis in Metaheuristics A Machine Learning Approach -- A variable neighborhood search approach for the S labeling problem -- Improving Biased Random Key Genetic Algorithm with Variable Neighborhood Search for the Weighted Total Domination Problem -- Optimization of fairness and accuracy on Logistic Regression models -- A Variable Formulation Search Approach for Three Graph Layout Problems."]
[null,null,null,"Sommario/riassunto","This volume constitutes the refereed proceedings of Metaheuristics on 15th International Conference, MIC 2024, held in Lorient, France, during June 4–7, 2024. The 36 full papers presented together with 34 short papers were carefully reviewed and selected from 127 submissions. The conference focuses on artificial intelligence, combinatorial optimization, computer science, graph theory, evolutionary algorithms, genetic algorithms, simulated annealing, optimization, optimization problems."]