Addressing malnutrition in Somalia is hindered by low budget execution rates in the health and education sectors. Only a small portion of Official Development Assistance (ODA) is channeled through government systems, impacting service delivery and development financing. Donor-supported budgets for h

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Scientists simulate the climate system and project future scenarios by observing, measuring, and applying knowledge to computer models. These models represent Earth's surface and atmosphere using mathematical equations, which are converted to computer code. Supercomputers solve these equations to pr

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Memory-unsafe languages like C and C++ are prone to Use-After-Free (UAF) vulnerabilities. PUMM introduces execution unit partitioning to efficiently tackle this issue. By segregating and managing execution units, PUMM aims to prevent UAF exploits and enhance software security.

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System models play a crucial role in software engineering, aiding in understanding system functionality and communicating with customers. They include context models, behavioural models, data models, object models, and more, each offering unique perspectives on the system. Different types of system

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Input-Output models, pioneered by Wassily Leontief, depict inter-industry relationships within an economy. These models analyze the dependencies between different sectors and have been utilized for studying agricultural production distribution, economic development planning, and impact analysis of i

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Generate the complete symbolic execution tree for a given program by annotating nodes with path constraints and line numbers, aiding in understanding program execution flow.

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Exploring different models of teaching, such as Carroll's model, Proctor's model, and others, that guide educational activities and environments. These models specify learning outcomes, environmental conditions, performance criteria, and more to shape effective teaching practices. Functions of teach

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Models of teaching serve as instructional designs to facilitate students in acquiring knowledge, skills, and values by creating specific learning environments. Bruce Joyce and Marsha Weil classified teaching models into four families: Information Processing Models, Personal Models, Social Interactio

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Explore the overlooked aspects of Order XXI CPC, 1908, focusing on the definitions, types of decrees, modes of execution, procedures for executing decrees, reasons for neglect, impact, recommendations, and conclusion. Learn about neglected provisions like summary execution, execution against legal r

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Software testing plays a crucial role in identifying and resolving issues within software products. Test cases, selection, and execution are fundamental aspects of the testing process. Test cases define conditions for testing software functionality, with a focus on repeatability and data specificity

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Models play a crucial role in various disciplines, including agricultural geography, by offering a simplified and hypothetical representation of complex phenomena. When used correctly, models help in understanding reality and empirical investigations, but misuse can lead to dangerous outcomes. Longm

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Explore the similarities between Computable General Equilibrium (CGE) models and Dynamic Stochastic General Equilibrium (DSGE) models, their equilibrium concepts, and the use of descriptive equilibria in empirical modeling. Learn how CGE and DSGE models simulate the operation of commodity and factor

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Augmented generation models, such as REALM and RAG, integrate retrieval and generation tasks to improve information retrieval processes. These models leverage background knowledge and language models to enhance recall and candidate generation. REALM focuses on concatenation and retrieval operations,

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Item Response Theory (IRT) is a statistical measurement model used to describe the relationship between responses on a given item and the underlying trait being measured. It allows for indirectly measuring unobservable variables using indicators and provides advantages such as independent ability es

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Discrete Optimization is a field of applied mathematics that uses techniques from combinatorics, graph theory, linear programming, and algorithms to solve optimization problems over discrete structures. This involves creating mathematical models, defining objective functions, decision variables, and

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Investigating f(R) gravity models by extending the Einstein-Hilbert action with an arbitrary function f(R). Conditions for viable models include positive gravitational constants, stable cosmological perturbations, asymptotic behavior towards the ΛCDM model, stability of late-time de Sitter point, a

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Wireless propagation models play a crucial role in characterizing the wireless channel and understanding how signals are affected by environmental conditions. This article explores the different propagation mechanisms like reflection, diffraction, and scattering, along with the challenges and applic

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This presentation delves into developing models for on-line control of polymerization processes, focusing on reactors for similar systems. The work aims to extend existing knowledge on semi-batch emulsion copolymerization models, with a goal of formulating models for tubular reactors. Strategies, ba

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Explore the world of GPU programming with insights into GPU architecture, programming models, and execution models. Discover the evolution of GPUs and their importance in graphics engines and high-performance computing, as discussed by experts from the University of Michigan.

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This content discusses the challenges and solutions for securing LSM-based Key-Value stores in untrusted computing environments using Shielded Execution. It addresses the need for confidentiality, integrity, and freshness of data in persistent storage systems. The research explores Trusted Execution

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N-gram models play a crucial role in language modelling by predicting the next word in a sequence based on the probability of previous words. This technology is used in various applications such as word prediction, speech recognition, and spelling correction. By analyzing history and probabilities,

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The lecture discusses the various modes of execution of decree in civil law, such as execution against a person through arrest and detention, and execution against property. It explains the procedures involved in arrest and detention, including the conditions for release, restrictions on arrest, and

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Explore how memory is managed in Java programs, including memory allocation for code, objects, and execution stack. Learn about memory areas like the execution stack and heap, and understand the concept of activation records in method execution.

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Delve into the world of information retrieval models with a focus on traditional approaches, main processes like indexing and retrieval, cases of one-term and multi-term queries, and the evolution of IR models from boolean to probabilistic and vector space models. Explore the concept of IR models, r

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Delve into the intricacies of Instruction Level Parallel Architectures, including topics such as Out-Of-Order execution, Hardware speculation, Branch prediction, and more. Understand the concept of Speculation in Hardware-based execution and the role of Reorder Buffer in managing instruction results

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Explore the historical and modern methods of execution, from hanging to lethal injection, and the transition towards more civilized approaches. Learn about the contributions of prominent figures like Elbridge Gerry in advocating for humane execution methods. Delve into the commercial rivalry between

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This paper discusses dMVX, a system for secure multi-variant execution in distributed settings to mitigate memory errors and protect against attacks. Using leader and follower variants, diversified program variants run in lockstep to ensure security. The system monitors and replicates I/O results, e

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Cross-classified models in multilevel modelling involve non-hierarchical data structures where entities are classified within multiple categories. These models extend traditional nested multilevel models by accounting for complex relationships among data levels. Professor William Browne from the Uni

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General Equilibrium Models (CGE) and Social Accounting Matrices (SAM) provide a comprehensive framework for analyzing economies and policies. This analysis delves into how CGE models help simulate various economic scenarios and their link to SAM, which serves as a key data input for the models. The

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Retrieval models play a crucial role in defining the search process, with various assumptions and ranking algorithms. Relevance, a complex concept, is central to these models, though subject to disagreement. An overview of different retrieval models like Boolean, Vector Space, and Probabilistic Mode

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Explore the concepts of Static Execution Graphs, Dynamic Execution Graphs, Superblocks, hot-path detection, and memory arithmetic in software analysis. Learn about the grouping of blocks, violation tracking, control dependencies, and code behaviors across time through these graphical representations

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This lecture delves into the essential concepts of processes, threads, and synchronization in operating systems. Key topics covered include units of execution, representation of units of execution in the OS, process execution states, and state transitions. Users, programs, and the role of processes

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InvisiSpec presents a novel defense mechanism to address speculative execution attacks in the cache hierarchy. By making speculative execution invisible to potential attackers, this holistic approach aims to mitigate the risks associated with exploiting side effects on incorrect paths, such as Spect

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This content provides a detailed explanation of a multicycle datapath and the execution steps involved in processing instructions. It covers key elements such as instruction fetching, decoding, memory referencing, ALU operations, branch and jump instructions, as well as memory access for read and wr

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Symbolic Execution is a method used for analyzing programs to determine inputs causing each part to execute, vital in program testing. However, limitations arise in cases without code availability, hindering definitive path conditions. Directed Automated Random Testing (DART) overcomes this through

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Composite models are essential in representing complex entities by combining different types of models, such as resource allocation, transport, and assembly models. Gluing these models together allows for a comprehensive representation of systems like the milk industry, where raw materials are trans

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This presentation discusses the challenges of trusting cloud environments and proposes solutions utilizing Intel SGX technology. It explores the need for secure execution of applications on untrusted cloud platforms, presents existing solutions, and introduces the concept of Haven for private execut

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Processes in operating systems traditionally include various resources and execution states, leading to inefficiencies in communication and parallel program execution. By separating the concept of a process from its execution state, modern OSes like Mac, Windows, and Unix introduce threads as lightw

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This segment delves into the fundamentals of Python programming with a focus on essential concepts such as comments, numbers, strings, variables, arithmetic operators, logical operators, order of execution, expressions, and control flow statements like conditional execution and looping. Learn about

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In the realm of operating systems, terms like multiprogramming, multiprocessing, multitasking, and multithreading can often be confusing due to their similar appearance but distinct meanings. These concepts play a crucial role in efficiently managing resources in a computing system, particularly in

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