Explore the concept of credible private set membership ensuring server privacy, client privacy, and data credibility through innovative protocols and approaches. The focus is on maintaining high-entropy passwords securely while optimizing rounds and leveraging underlying crypto primitives efficientl

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Delve into the entropic nature of British Victorian Literature as Hannah Harris explores the concept of entropy in storytelling. Uncover how the lack of a defined center and the compulsion to repeat shape these works, validated by science as faithful reflections of life through realism.

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In thermodynamics, Maxwell equations are derived using Euler's reciprocity relation. They involve characteristic functions such as internal energy, free energy, enthalpy, and Gibbs free energy, along with parameters like temperature, entropy, pressure, and volume. These equations form the foundation

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Explore key concepts in thermodynamics and fluid mechanics such as the equation of continuity, the first law of thermodynamics, the momentum equation, Euler's equation, and more. Learn about efficiency, internal energy, and the laws governing energy transfer in various systems. Delve into topics lik

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Understanding the thermodynamic behavior of polymers in solution is crucial in various industrial and scientific applications. The Flory-Huggins theory provides insights into athermal macromolecular solutions, heat of mixtures, interaction parameters, and the concept of good vs. mediocre solvents. T

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Exploring the Carnot engine as an ideal model to understand the Second Law of Thermodynamics, which highlights the efficiency of heat engines and the concept of entropy. The engine operates through a cyclic process, transferring heat from a high-temperature reservoir to a low-temperature one, produc

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Explore the C4.5 algorithm, a powerful tool in the realm of machine learning. Delve into topics such as numeric attributes, information gain, entropy calculations, and handling missing values. Learn about the importance of attribute selection, class-dependent discretization, and making optimal split

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In this comprehensive analysis, the security aspects of Onion Routing are scrutinized along with adversary-based metrics. Various security vulnerabilities such as compromised relays and potential attacks on the first and last routers are examined. Existing metrics like entropy coefficients and proba

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Dive into the world of randomness in repeated games through this insightful research by Moni Naor, Pavel Hubæk, and Jon Ullman. Discover the significance of randomness in algorithms, equilibria, and finitely repeated games. Explore the necessity of randomness in Nash Equilibrium and the computation

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Explore the fundamental concepts of thermodynamics, including the conservation of energy, entropy, heat transfer, and the relationship between temperature and kinetic energy. Discover how energy transforms in natural events, the laws governing thermodynamics, and the role of heat in the motion of pa

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Explore the fundamental principles of the kinetic theory of gases, including the five postulates and the relationship between macroscopic properties and microscopic phenomena. Delve into the concept of entropy and thermodynamics, along with the behavior of ideal and real gases. Gain insights into th

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Exploring the concepts of mergers, minimal entropy, statistical distance, and somewhere random sources in data analysis. Discover how convex combinations play a crucial role in extracting randomness from different sources for improved data processing.

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This research focuses on efficiently estimating statistics over sub-sampled streams, particularly in the context of IP packet streams for traffic monitoring. Various types of sampling methods are explored, such as Bernoulli sampling, to compute key metrics like frequency moments, number of distinct

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This content discusses sensor-based mobile web fingerprinting, cross-site input inference attacks, smartphone sensors, motion sensor data collection, and HTML5 DeviceMotionEvent interface. It highlights the potential security risks associated with sensor data access on mobile devices and the need fo

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The study explores how the functional load of phoneme contrasts affects the trajectory of phoneme system changes over time. Researchers examine phoneme mergers in nine languages, finding an inverse correlation between the number of minimal pairs and mergers. The model is refined to investigate diffe

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Explore the reasons behind the commonality of certain word orders in languages, from genetically encoded biases to linguistic principles. Discover the Uniform Information Density Hypothesis and its impact on language evolution, as well as insights from a Word-Order Model that examines entropy and in

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This presentation explores active object recognition using vocabulary trees by Natasha Govender, Jonathan Claassens, Philip Torr, Jonathan Warrell, and presented by Manu Agarwal. It delves into various aspects of the experiment, including uniqueness scores, textureness versus uniqueness, and the use

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Dynamo is a distributed storage system designed by Amazon to provide scale, simplicity, key-value storage, and high availability. It aims to meet Service Level Agreements (SLAs) by offering simple query models, ACID properties, and efficient latency handling. The system sacrifices strong consistency

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Explore the laws of thermodynamics including the first, second, and third laws, and Maxwell's Demon thought experiment challenging the second law. Learn how entropy and energy are fundamental concepts in thermodynamics.

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Thermodynamics is the study of energy and its transformations within systems. This article delves into the laws of thermodynamics, defining key quantities like temperature and entropy. It explains the importance of thermodynamic systems, boundaries, and surroundings, highlighting closed, open, and i

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Development and testing of a High Entropy Alloy-based Solid Oxide Fuel Cell (SOFC) anode for controlled reformation to improve thermal performance, reduce carbon deposition, and enhance durability. The project involves fabricating cells, electrochemical testing, modeling reformation rates, and scali

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This lecture delves into the concepts of entropy and the Second Law of Thermodynamics. It discusses the intuitive sense of energy, the nature of entropy, and the irreversibility of processes. The Second Law is highlighted in relation to heat transfer, work, and the increase of entropy in the univers

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Explore the concept of true random numbers versus pseudorandom numbers in computers. Learn how pseudorandom numbers are generated algorithmically but predictable, while true random numbers are derived from physical phenomena like radioactive decay. Discover the relevance of high-entropy pseudorandom

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This content showcases the concept of multi-delimiter data compression codes, their application in various algorithms such as arithmetic, finite state entropy, Huffman, and Fibonacci. Key features including compression rate, synchronization, search in compressed files, encoding/decoding speed, and c

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Information entropy, a key concept in information theory, measures the average amount of information in a message. Source entropy and binary source entropy are explained with examples, along with maximum source entropy for both binary and non-binary sources. Learn how to calculate entropy for differ

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This article explores the concept of sustainable development from a physical perspective, emphasizing the finite nature of Earth's resources and the intricate balance of energy supply and demand. It delves into the assessment of sustainability through quantitative measures, discussing the increasing

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In gas dynamics, normal shock waves occur when there is a significant pressure difference across a compression pulse, leading to increased entropy. This results in non-isentropic flow known as compression shock waves. The formation of compression and expansion waves can be likened to piston movement

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Word embedding plays a crucial role in unsupervised learning, allowing machines to learn the meaning of words from vast document collections without human supervision. By analyzing word co-occurrences, context exploitation, and prediction-based training, neural networks can model language effectivel

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Maximum Entropy modeling, also known as MaxEnt, is a technique that maximizes randomness by removing patterns in data. This method is widely used in environmental science to create models using covariates, occurrences, and probability density functions. The relationships between histograms and proba

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Dynamo and Bayou databases offer high availability and weak consistency, making them suitable for modern applications with super high demands. Examples of suitable applications include flight ticket booking, Amazon shopping carts, and more. Availability is crucial for accommodating millions of custo

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Description of the Gibbs problem of entropy mixing gases, conventional resolution, issues of (dis)continuity, the role of indistinguishability and quantum mechanics in resolution, dissenting views, necessity of quantum mechanics, and the relationship between statistical mechanics and entropy. Key di

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Explore the general flow equations for two-phase flow in pipes and gas pipeline hydraulics. Understand concepts such as internal energy, kinetic energy, potential energy, entropy, and friction factors. Learn about pressure gradients, Reynolds numbers, and friction factors in single-phase gas flow. G

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Verification of the Third Law of Thermodynamics through the study of phase transitions in elements like sulfur, exemplifying the relationship between heat capacity, enthalpy, entropy, and the Third Law. Experimental data on entropy changes and molar entropies, as well as insights into the behavior o

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TLS and SSH rely on RSA and DSA for security, but weaknesses in random number generation can lead to widespread weak keys among hosts on the Internet. This paper uncovers the prevalence of repeated keys and easily inferred private keys, emphasizing the importance of entropy pools in key generation.

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Visualization and interpretation of high-dimensional data structures in chemistry can be achieved through projection techniques. Linear projection methods like PCA and Pursuit Projection allow for dimensionality reduction and clustering tendency exploration. The Intent Pursuit Projection (PP) techni

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This content delves into the fundamentals of data engineering and information theory, focusing on topics such as data communication, sharing, storage, and archiving. It explores key concepts like data representation, corruption prevention, historical milestones in communication technology, Shannon's

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Decision trees are a popular machine learning algorithm for classification tasks. They consist of nodes representing conditions, branches indicating decisions, and leaves representing outcomes. By choosing the best attribute and splitting data recursively, decision trees can efficiently classify dat

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Trapping modelling in MatCalc involves studying the entrapment of atoms on lattice defects like solute atoms and dislocations. This process affects the system's energy and concentration, with parameters such as trapping enthalpy, nominal composition, and molar volume playing vital roles. By consider

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Explore improved methods for compressing AC coefficients in JPEG coding, utilizing alternate adaptive scanning and multi-feature determined context arithmetic coding. The approach involves scanning order determination, entropy coding, and arithmetic coding techniques to enhance compression efficienc

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Delve into the foundational principles of classical physics and thermodynamics that paved the way for the development of quantum mechanics. From the black body problem to the quantization postulate by Planck, discover how key phenomena like the photoelectric effect and Compton effect shaped the unde

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