This study focuses on developing a performance evaluation index for Islamic social finance institutions (ISFIs) based on Maqasid al-Shariah to better measure their performance beyond just financial aspects. The aim is to analyze how far ISFIs have accomplished Maqasid during their operations through

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MRI, or Magnetic Resonance Imaging, is a high-tech diagnostic imaging tool that uses magnetic fields, specific radio frequencies, and computer systems to produce cross-sectional images of the body. The components of an MRI system include the main magnet, gradient coils, radiofrequency coils, and the

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Index numbers are time series that measure relative changes over time, expressing counts or measurements as a percentage of a base period. Learn about base periods, calculation methods, and examples of simple relative and aggregate index numbers in business decision-making contexts.

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Instance-specific explanations of model predictions through input gradients are explored in this study. The key contributions include a novel evaluation framework, DiffROAR, to assess the impact of input gradient magnitudes on predictions. The study challenges Assumption (A) and delves into feature

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The SERCOM-3 conference held in Bali, Indonesia, discussed the adoption of additional drought indicators and indices for use by National Meteorological and Hydrological Services (NMHS). The update to the Global Drought Classification System (GDCS) included recommendations for the use of standardized

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Cutting-edge research in the field of reinforcement learning for autonomous robots, focusing on Proximal Policy Optimization Algorithms, motivation for autonomous learning, scalability challenges, and policy gradient methods. The discussion delves into Markov Decision Processes, Actor-Critic Algorit

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Learn how to build artificial neural networks from scratch, focusing on multi-level feedforward networks like multi-level perceptrons. Discover how neural networks function, including training large networks in parallel and distributed systems, and grasp concepts such as learning non-linear function

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Index numbers are essential in economics to compare trends and fluctuations in data, reflecting changes in quantities over time. They help analyze relative changes and are expressed as percentages. Base year selection, representative prices, and commodity inclusion are crucial in constructing accura

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In the realm of price index formulas, the Time Reversal Test (TRT) plays a crucial role in determining the applicability of various index calculation methods. Professor Fisher introduces tests like TRT, FRT, and Circular Test to gauge formula efficiency. TRT demands that the calculated index remains

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The pressure gradient force (PGF) causes air to move from high pressure to low pressure, with characteristics including direction from high to low, perpendicular to isobars, and strength proportional to isobar spacing. The Coriolis force influences wind direction due to the Earth's rotation, making

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Update on the Consumer Price Index and Inflation Rate for March 2021 released by the National Bureau of Statistics in Maldives. The report covers monthly percentage changes, significant price decreases and increases, and contributions to the change in the index points for various categories. Overall

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Explore the concepts of slope, gradient, and intervisibility in geography through detailed descriptions and visual representations. Learn about positive, negative, zero, and undefined slopes, the calculation of gradient, and the significance of understanding these aspects in various engineering and

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Gradients are versatile tools in design, allowing shapes to transition smoothly between colors. Learn about gradient types, preset options, creating your own metallic gradients, and applying gradients effectively in this detailed guide. Explore linear and radial gradient directions, understand gradi

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Myhill-Nerode theorem states that three statements are equivalent regarding the properties of a regular language: 1) L is the union of some equivalence classes of a right-invariant equivalence relation of finite index, 2) Equivalence relation RL is defined in a specific way, and 3) RL has finite ind

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In this lecture by Geoffrey Hinton, Nitish Srivastava, and Kevin Swersky, an overview of mini-batch gradient descent is provided. The discussion includes the error surfaces for linear neurons, convergence speed in quadratic bowls, challenges with learning rates, comparison with stochastic gradient d

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Gradient Boosting Decision Tree (GBDT) is a powerful machine learning algorithm known for its efficiency and accuracy. However, handling big data poses challenges due to time-consuming computations. LightGBM introduces optimizations like Gradient-based One-Side Sampling (GOSS) and Exclusive Feature

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Sire evaluation plays a crucial role in determining genetic worth and breeding value in animal genetics. Various methods such as Sire Index, Daughter Average Index, and Equiparent Index are used to assess sires for genetic superiority. Biasness in evaluation due to environmental factors and contempo

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Optimization is essential in neural networks to find the minimum value of a function. Techniques like local search, gradient descent, and stochastic gradient descent are used to minimize non-linear objectives with multiple local minima. Challenges such as overfitting and getting stuck in local minim

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This content delves into the concepts of gradient descent and second-order methods in optimization. Gradient descent is a first-order method utilizing the first-order Taylor expansion, while second-order methods consider the first three terms of the multivariate Taylor series. Second-order methods l

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The body composition of an average young adult male includes protein, mineral, fat, and water in varying proportions. Water is the major component, with intracellular and extracellular distribution. Movement of substances between compartments occurs through processes like simple diffusion and solven

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Various methods of constructing index numbers, such as un-weighted index, simple aggregate method, and simple average of price relatives method, are explained in detail. These methods play a crucial role in analyzing price changes over time and comparing different economic indicators. Each method of

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Singular Value Decomposition (SVD) is a powerful method that decomposes a matrix into orthogonal matrices and diagonal matrices. It helps in understanding the range, rank, nullity, and goal of matrix transformations. The method involves decomposing a matrix into basis vectors that span its range, id

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Explore the use of physical methods like refractive index for structural elucidation of natural products, highlighting the importance of refractive index measurements in research and analysis. Learn about refractive index detection in liquid chromatography and its applications in various fields.

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A detailed exploration of Hessian-Free (HF) optimization method in neural networks, delving into concepts such as error reduction, gradient-to-curvature ratio, Newton's method, curvature matrices, and strategies for avoiding inverting large matrices. The content emphasizes the importance of directio

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The h-index and i10-index are important metrics in evaluating a researcher's impact and productivity in scientific research. The h-index indicates the number of publications with at least the same number of citations, while the i10-index counts the number of publications with at least 10 citations.

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Dive into the world of Gradient Boosting and XGBoost techniques with a focus on Decision Trees, their applications, optimization, and training methods. Explore the significance of parameter tuning and training with samples to enhance your machine learning skills. Access resources to deepen your unde

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This study by Antonio Chessa delves into the characterization of extension methods for multilateral index series, highlighting the impact of various factors such as product definition, index formula, weighting schemes, and length of time windows on the index. It addresses the challenges of revising

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Limited availability of high bandwidth on-device memory presents a challenge in exploring new architectures for deep neural networks. Memory constraints have been identified as a bottleneck in state-of-the-art models. Various strategies such as Tensor Rematerialization, Bottleneck Activations, and G

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Investigate the thermodynamics of SU(3) gauge theory through gradient flow, discussing energy-momentum stress pressure, Noether current, and the restoration of translational symmetry. The study delves into lattice regularization, equivalence in continuum theory, and measurements of bulk thermodynami

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The Uganda Bureau of Statistics (UBOS) produces and disseminates the Producer Price Index Agriculture to show the farm-gate prices received by farmers for primary agricultural products. The index is used by various stakeholders for policy-making and decision-making purposes. It covers key agricultur

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Linear regression is about predicting continuous values, while logistic regression deals with discrete predictions. Gradient descent is a widely used optimization technique in machine learning. To predict commute times for new individuals based on data, we can use linear regression assuming a linear

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The Business Service Price Index is being developed in India to include services in the Wholesale Price Index, covering key sectors like Railways, Air Transport, Banking, and more. The proposed index framework aims to integrate various service price indices. Challenges include capturing dynamic rail

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Explore the concepts of line fitting, gradient descent, multivariable linear regression, linear classifiers, and logistic regression in the context of machine learning. Dive into the process of finding the best-fitting line, minimizing empirical loss, vanishing of partial derivatives, and utilizing

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Mach-Zehnder Interferometer is a powerful tool used by the University of Rochester Gradient-Index Research Group for measuring 2-D Gradient-Index (GRIN) profiles. This instrument covers a wavelength range of 0.355 to 12 µm with high measurement accuracy. The sample preparation involves thin, parall

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Explore the ALCB Lending Index Presentation held on 01.02.2018, including methodology, results, and discussions on lending for economic growth. Discover the index development process, methodology, and factors impacting banks' ability and desire to lend, as well as borrowers' ability and desire to bo

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Delve into the Caste Freedom Index in Nepal, highlighting the current status of Dalits and the need for such an index. Learn about the caste system's power and organization in Nepalese society, and why this index is crucial in combating caste-based discrimination. Explore historical perspectives and

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The U.S. Bureau of Labor Statistics is considering transitioning from a modified Laspeyres formula to a geometric Young formula for elementary indexes in the Producer Price Index (PPI). This proposed change aims to enhance the accuracy and economic relevance of price measurements by utilizing a geom

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The content describes various gradient types and color patterns using RGB values and positioning to create visually appealing transitions. Each gradient type showcases a unique set of color stops and positions. The provided information includes detailed descriptions and links to visual representatio

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Explore the concepts of gradient, divergence, and curl of a vector explained by Dr. S. Akilandeswari through a series of informative images. Delve into the intricacies of vector analysis with clarity and depth.

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The study investigates unsteady Couette flow under an oscillating pressure gradient and uniform suction and injection, utilizing the Galerkin finite element method. The research focuses on the effect of suction, Hartmann number, Reynolds number, amplitude of pressure gradient, and frequency of oscil

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