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Job the Unfinalizable
  • Language: en
  • Pages: 253

Job the Unfinalizable

  • Type: Book
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  • Published: 2013-10-10
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  • Publisher: BRILL

In Job the Unfinalizable, Seong Whan Timothy Hyun reads Job 1-11 through the lens of Bakhtin’s dialogism and chronotope to hear each different voice as a unique and equally weighted voice. The distinctive voices in the prologue and dialogue, Hyun argues, depict Job as the unfinalizable by working together rather than quarrelling each other. As pieces of a puzzle come together to make the whole picture, all voices in Job 1-11 though each with its own unique ideology come together to complete the picture of Job. This picture of Job offers readers a different way to read the book of Job: to find better questions rather than answers.

III European Conference on Computational Mechanics
  • Language: en
  • Pages: 861

III European Conference on Computational Mechanics

III European Conference on Computational Mechanics: Solids, Structures and Coupled Problem in Engineering Computational Mechanics in Solid, Structures and Coupled Problems in Engineering is today a mature science with applications to major industrial projects. This book contains the edited version of the Abstracts of Plenary and Keynote Lectures and Papers, and a companion CD-ROM with the full-length papers, presented at the III European Conference on Computational Mechanics: Solids, Structures and Coupled Problems in Engineering (ECCM-2006), held in the National Laboratory of Civil Engineering, Lisbon, Portugal 5th - 8th June 2006. The book reflects the state-of-art of Computation Mechanics in Solids, Structures and Coupled Problems in Engineering and it includes contributions by the world most active researchers in this field.

Multiscale Modeling of Curing and Crack Propagation in Fiber-Reinforced Thermosets
  • Language: en
  • Pages: 230

Multiscale Modeling of Curing and Crack Propagation in Fiber-Reinforced Thermosets

During the production of fiber-reinforced thermosets, the resin material undergoes a reaction that can lead to damage. A two-stage polymerization reaction is modeled using molecular dynamics and evaluations of the system including a fiber surface are performed. In addition, a phase-field model for crack propagation in heterogeneous systems is derived. This model is able to predict crack growth where established models fail. Finally, the model is used to predict crack formation during curing.

Consequences of hydroxyl generation by the silica/water reaction - Part II: Global and local Swelling - Part III: Damage and Young's Modulus
  • Language: en
  • Pages: 226

Consequences of hydroxyl generation by the silica/water reaction - Part II: Global and local Swelling - Part III: Damage and Young's Modulus

Water diffusing into silica surfaces gives rise for several effects on diffusion behaviour and mechanical properties. In a preceding booklet, we focused on diffusion and fiber strengths and deformations which were obtained by water soaking under external loading. In the present booklet we deal with results and interpretations of strength increase in the absence of applied stresses.

Understanding Degradation Phenomena in Solid-Oxide Fuel-Cell Anodes by Phase-Field Modeling and Analytics
  • Language: en
  • Pages: 298

Understanding Degradation Phenomena in Solid-Oxide Fuel-Cell Anodes by Phase-Field Modeling and Analytics

The current work analyzes degradation effects in solid-oxide fuel cell anodes with the phase-field method. A model extension for interface diffusion is formulated and calibrated. Large-scale 3D-simulations provide interesting insights into phenomena at the microscale which are responsible for the degradation

Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction
  • Language: en
  • Pages: 278

Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction

This work presents a data mining framework applied to industrial heattreatment (bainitization and case hardening) aiming to optimize processes and reduce costs. The framework analyses factors such as material, production line, and quality assessment for preprocessing, feature extraction, and drift corrections. Machine learning is employed to devise robust prediction strategies for hardness. Its implementation in an industry pilot demonstrates the economic benefits of the framework. - This work presents a data mining framework applied to industrial heattreatment (bainitization and case hardening) aiming to optimize processes and reduce costs. The framework analyses factors such as material, production line, and quality assessment for preprocessing, feature extraction, and drift corrections. Machine learning is employed to devise robust prediction strategies for hardness. Its implementation in an industry pilot demonstrates the economic benefits of the framework.

Federal Register
  • Language: en
  • Pages: 956

Federal Register

  • Type: Book
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  • Published: 1946-07
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  • Publisher: Unknown

None

Linguistica Antverpiensia
  • Language: en
  • Pages: 506

Linguistica Antverpiensia

  • Type: Book
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  • Published: 1993
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  • Publisher: Unknown

None

Migration In, From, and to Southeastern Europe
  • Language: en
  • Pages: 301

Migration In, From, and to Southeastern Europe

Migrations have moulded Balkan societies. In the multiethnic empires migrations were very common, and in the modern era, economic reasons led millions of people to go abroad as overseas emigrants before World War I, as Gastarbeiter in the 1960s and 70s, or as economic migrants since 1990. In addition, many people had to leave their homes as political refugees or as victims of ethnic cleansing. But Balkan countries were and are also hosts to immigrants and refugees, and they have witnessed enormous rural-urban migrations. This volume, the first part of a selection of conference papers, focusses on historical and cultural aspects of migration in, from and to Southeastern Europe.

Development of NbN based Kinetic Inductance Detectors on sapphire and diamond substrates for fusion plasma polarimetric diagnostics
  • Language: en
  • Pages: 212

Development of NbN based Kinetic Inductance Detectors on sapphire and diamond substrates for fusion plasma polarimetric diagnostics

This work aimed at designing, studying and producing the first prototypes of KIDs tailored for fusion plasma polarimetric diagnostics. Diamond was considered for the first time as substrate material for low-temperature superconducting detectors given its unmatched optical, radiation hardness and thermal qualities, properties necessary for working environments potentially saturated with radiation. This work represents a first step toward the optimization and final application of this technology.