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Metric Driven Design Verification : An Engineer's and Executive's Guide to First Pass Success

A metric based flow is described that focuses on the four steps of: 1. Planning: Defining what needs to be done and the automatically trackable metrics that will be used to measure progress. 2. Execution: Implementing verification environments and then extensively exercising the device under verification utilizing comprehensive, massively parallel regression strategies. 3. Measurement: Automatically capturing the metrics defined in planning to provide objective data with which to manage the verification project. Custom tailoring those metrics through an automated reporting framework to provide all stakeholders a real-time meaningful view of project status. 4. Response: Utilizing the returned metrics to effectively adapt to changing project conditions. Making use of automated response mechanisms to automate engineering processed and management response to streamline project management processes

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Metaheuristic Optimization Algorithms in Civil Engineering : New Applications

Discusses the application of metaheuristic algorithms in a number of important optimization problems in civil engineering. Advances in civil engineering technologies require greater accuracy, efficiency and speed in terms of the analysis and design of the corresponding systems. As such, it is not surprising that novel methods have been developed for the optimal design of real-world systems and models with complex configurations and large numbers of elements.

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Intelleger = انتليجر

The project management system is a web application designed to assist software managers in efficiently managing their projects, including websites, mobile apps, and other software initiatives. Utilizing artificial intelligence, the application streamlines project creation and management processes, offering significant benefits in terms of organization and accuracy. Managers can create projects by inputting essential details such as the name, scope, deadline, and tasks. The system generates AI-based functional and non-functional requirements tailored to the project scope using gpt2 model on Pure dataset. Managers can then review and edit these requirements as needed before finalizing the project. The application facilitates comprehensive task management by allowing managers to assign tasks to developers, edit task details, and ensure task deadlines align with project deadlines. Developers can log their start and end times automatically when they begin and complete tasks, providing accurate time tracking and performance analysis.also they can use code generation model to generate their task’s code using codebert model on concode and codesearchnet dataset Real-time notifications keep both managers and developers informed of task assignments, completions, and other critical updates.

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Globalization from the Bottom Up : A Blueprint for Modern Capitalism

This book argues that concentration of wealth is not sustainable. It offers an alternative model, a philosophy of "social capitalism" that is grounded in a bottom-up approach to wealth creation and presents a view of a more inclusive and sustainable future.

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Future approaches for safe and effective pain management

Pain is defined as an unpleasant sensory and emotional experience that is associated with actual or potential tissue damage or described in terms of such damage. It is subjective and considered an important physiological mechanism by which humans prevent themselves from developing tissue injury. However, pain patients do not respond to treatment in the same way, which makes it challenging to issue a consistent treatment for all pain conditions. Excessive pain can markedly increase psychological health problems and decrease health‐related quality of life; therefore, pain should be managed appropriately by analgesics. Analgesics act in various ways on the peripheral and central pain pathways and are regarded as one of the most valuable but equally dangerous groups of medications. Individual variability in pain perception and differences in the efficacy of analgesic drugs are complex phenomena and are partly genetically predetermined. Pain severities as well as responses to analgesics, can also be very variable among sufferer.

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Functional Structures in Networks : AMLn - A Language for Model Driven Development of Telecom Systems

The book describes a method for creating models of telecom systems. The method is intended for practicing network architects and designers. This method emphasizes modeling the (very complex) functional structure of networks in a way that is independent of any hardware and software design methodology

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Frontiers of combining systems ; 5th International Workshop, FroCoS 2005, Vienna, Austria, September 19-21, 2005, Proceedings

Constitutes the refereed proceedings of the 5th International Workshop on Frontiers of Combining Systems, FroCoS 2005, held in Vienna, Austria. This book includes 19 full papers that are organized in topical sections on combinations of logics, theories, and decision procedures; constraint solving and programming; and others.

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Freelancing platform = منصة للأعمال الحرة

The digital era has seen a significant rise in freelancing, providing a flexible and accessible employment model for professionals worldwide. This project introduces an advanced freelancing platform designed to enhance the interaction between freelancers and clients. By employing a microservices architecture, the platform ensures a seamless, efficient, and secure environment for managing project collaborations, communications, and payment processes. The platform supports three primary user roles: Administrators, Freelancers, and Users. Administrators oversee comprehensive system management, including user accounts, service categories, platform settings, and financial transactions. Freelancers can create detailed profiles showcasing their skills, experiences, and portfolios, and publish services with clear descriptions, pricing, and Service Level Agreements (SLAs). Users can post service requests, outlining project requirements and budgets, enabling freelancers to apply and engage in these projects.

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Foundations of F#

F# is much more than just an FP language. Every professional .NET programmer needs to learn about FP, and there's no better way to do it than by learning F#, and no easier way to learn F# than from Foundations of F#, and this is the first book to bring F# to the world.

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Forest Landscape Ecology : Transferring Knowledge to Practice

Forest Landscape Ecology: Transferring Knowledge to Practice is the first book to introduce landscape ecologists to the discipline of knowledge transfer. The book considers knowledge transfer in general, critically examines aspects of transfer that are unique to forest landscape ecology, and reviews several case studies of successful applications for policy developers and forest managers in North America. Readers are encouraged to recognize the value of sharing their knowledge, and to understand their role in active knowledge transfer. The intent is to connect, as seamlessly and effectively as possible, ecological principles to policy and practice.

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Food lens = فود لينس

Food lens is an innovative application designed to revolutionize dietary management by leveraging advanced image recognition and nutritional analysis. The primary objective of this senior project is to develop a user-friendly tool that identifies various foods through a camera interface and provides detailed nutritional information. This application not only enhances the user's understanding of their dietary intake but also assists in achieving personalized health and fitness goals. The core functionality of Food Lens involves the integration of a robust image recognition system capable of accurately identifying a wide range of foods. Upon identification, the application retrieves comprehensive nutritional data, including calorie content, macronutrient distribution (proteins, fats, carbohydrates), and essential micronutrients (vitamins and minerals). This data is then seamlessly integrated into the user's dietary profile. Food Lens is designed to track the user's daily caloric intake and compare it against personalized recommendations based on age, gender, weight, height, and activity level. By maintaining a dynamic record of consumed foods, the application provides real-time feedback on the user’s nutritional progress. This feature is particularly beneficial for individuals aiming to manage weight, address dietary restrictions, or improve overall health.

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Fashionity

This project is an AI fashion design system to generate fashion images based on user textual description. The proposed system incorporates advanced technology for dissemination and machine translation with the aim of facilitating a seamless user experience for input in both Arabic and English languages. Moreover, the project encompasses the incorporation of a recommendation system that proposes appropriate visual content based on user style. The primary objective of this project is to develop a robust framework capable of generating high-quality images based on textual descriptions, providing recommendations for similar clothing items, and facilitating the retrieval of photographic and apparel articles through image search.

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Expert F#

Expert F# is about practical programming in a beautiful language that puts the power and elegance of functional programming into the hands of .NET developers. In combination with .NET, F# achieves unrivaled levels of programmer productivity and program clarity. This books serves as: The authoritative guide to F# by the designer of F#. A comprehensive reference of F# concepts, syntax, and features. A treasury of expert F# techniques for practical, real–world programming.

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Epiphyseal Growth Plate Fractures

This comprehensive reference work covers all aspects of growth plate fractures and their complications. Following general reviews of growth plate fractures, 21 chapters deal with each epiphyseal growth plate in the body. All of these chapters are constructed similarly for easy and quick retrieval of the required information. The main emphasis is on evaluation (diagnosis) and management (treatment). A separate section is devoted to premature partial physeal arrest, as this is by far the most common and feared complication of a growth plate fracture and its treatment is involved and controversial. The case studies included are often based on 20- to 30-year follow-ups, revealing cases that originally appeared to be quite satisfactory at the conclusion of growth but were found to have turned out quite poorly years later.

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Embedded systems design : The ARTIST roadmap for research and development

Embedded systems now include a very large proportion of the advanced products designed in the world, spanning transport (avionics, space, automotive, trains), electrical and electronic appliances (cameras, toys, televisions, home appliances, audio systems, and cellular phones), process control (energy production and distribution, factory automation and optimization), telecommunications (satellites, mobile phones and telecom networks), and security (e-commerce, smart cards), etc. The extensive and increasing use of embedded systems and their integration in everyday products marks a significant evolution in information science and technology. We expect that within a short timeframe embedded systems will be a part of nearly all equipment designed or manufactured in Europe, the USA, and Asia. There is now a strategic shift in emphasis for embedded systems designers: from simply achieving feasibility, to achieving optimality. Optimal design of embedded systems means targeting a given market segment at the lowest cost and delivery time possible. Optimality implies seamless integration with the physical and electronic environment while respecting real-world constraints such as hard deadlines, reliability, availability, robustness, power consumption, and cost. In our view, optimality can only be achieved through the emergence of embedded systems as a discipline in its own right.

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Early Aspects: Current Challenges and Future Directions ; 10th International Workshop, Vancouver, Canada, March 13, 2007, Revised Selected Papers

Traditionally, aspect-oriented software development (AOSD) has focused on the implementation phase of the software lifecycle: aspects are identified and captured mainly in code. Therefore, most current AOSD approaches place the burden for aspect identification and management on the programmer working at low levels of abstraction. However, aspects are often present well before the implementation phase, such as in domain models, requirements and software architecture. Identification and capture of these early aspects ensure that aspects related to the problem domain (as opposed to merely the implementation) will be appropriately captured, reasoned about and available. This offers improved opportunities for early recognition and negotiation of trade-offs and allows forward and backward aspect traceability. This makes requirements, architecture, and implementation more seamless, and allows a more systematic application of aspects.

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Digital darwinism : Surviving the new age of business disruption

This book guides you through the unrelenting pace of change and uncertainty facing business leaders today. Currently in a hybrid world where digital and real-world experiences collide and are expected to seamlessly blend into one another, never has the need to be on top of your digital transformation been felt more strongly.

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Dependable computing - EDCC 2005 ; 5th European dependable computing Conference, Budapest, Hungary, April 20-22, 2005, Proceedings

It is always a special honor to chair the European Dependable Computing C- ference (EDCC). EDCC has become one of the well-established conferences in the ?eld of dependability in the European research area. Budapest was selected as the host of this conference due to its traditions in organizing international scienti?c events and its traditional role of serving as a meeting point between East and West. EDCC-5 was the ?fth in the series of these high-quality scienti?c conf- ences. In addition to the overall signi?cance of such a pan-European event, this year’s conference was a special one due to historic reasons. The roots of EDCC date back to the moment when the Iron Curtain fell. Originally, two groups of scientists from di?erent European countries in Western and Eastern Europe – who were active in research and education related to dependability created a – joint forum in order to merge their communities as early as in 1989. This trend has continued up to today. This year’s conference was the ?rst one where the overwhelming majority of the research groups belong to the family of European nations united in the European Union. During the past 16 years we observed that the same roots in all the professional, cultural and scienti?c senses led to a seamless integration of these research communities previously separated ar- ?cially for a long time. EDCC has become one of the main European platforms to exchange new - searchideasinthe?eldofdependability.

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Dental caries : The disease and its clinical management

In this highly anticipated new edition, the editors maintain the same focus on high-level coverage of the disease etiology and process, clinical management best-practice, and wider public health issues connected with dental caries management, including an enhanced focus on the ‘caries control concept’. The aim is to link theory with clinical performance, making prevention, diagnosis and restorative procedures evidence based. The structure of the book has been completely overhauled, with the same coverage streamlined in order to distil information effectively. The book is divided into six main sections: An overview of the disease and its prevalence / The caries lesion and its biological determinants / Diagnosis / Controlling dental caries / Operative intervention / Caries control in special populations

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Dataset Studio

Data is the new oil, which means that AI engineers can face difficulties in locating suitable datasets. Dataset Studio is a comprehensive platform designed to support AI engineers in the creation and optimization of datasets. This project offers a diverse range of services that encompass data collection, data augmentation, and data classification. As a result, this software empowers engineers by automatically generating structured data through the utilization of advanced tools and AI techniques. By automating the laborious tasks of manual data collection and extraction, Dataset Studio effectively streamlines the workflow for AI engineers, enabling them to save valuable time and focus on the more intricate aspects of dataset development and refinement.

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