Due to the multifactorial and non-linear nature of gold market, it is difficult predict price. The price affected by many external factors, such as market environment, economic crises, oil increases, tax advantages interest rates. Therefore, multivariate models can better than univariate models. This study investigated effects price, crude exchange rate index, stock indicators between 2001 2021...

Abstract In this study, the CCHE2D model was used to analyze flow patterns in Tigris River Baghdad city around a water treatment plant. To end, calibrated and validated steady-state using relevant boundary conditions. The initial surface level at Sarai station for three discharges of 289, 530, 870 m 3 /s. Hence, appropriate manning roughness modulus equivalent mixing length turbulent models wer...

Despite the great success that theoretical approaches based on density functional theory have in describing properties of solid compounds, accurate predictions of the enthalpies of formation ( Hf ) of insulating and semiconducting solids still remain a challenge. This is mainly due to incomplete error cancellation when computing the total energy differences between the compound total energy and...

PURPOSE To analyze the accuracy of the Holladay 2 formula, which has been proposed as an improvement over the original Holladay formula. METHODS This retrospective analysis comprised 317 eyes operated on by 1 surgeon using 1 technique and 1 intraocular lens style in a specialty practice. Because the Holladay 2 formula has yet to be published, its accuracy can only be analyzed using the commer...

Energy has become an integral part of our society and global economic development in the twenty-first century. Despite tremendous technological advancements, fossil fuels (coal, natural gas, oil) continue to be world’s primary source energy. Global energy scenarios indicate a change coal consumption trends future, which turn will have commercial, geopolitical, environmental consequences. We inv...

This paper proposes color image compression method using hybrid wavelet transform and compares it with results obtained using hybrid transform and multi-resolution analysis. Haar wavelet is widely used in image compression. So here Haar transform is selected as base transform and combined with non-sinusoidal transforms like Slant, Walsh and Kekre transform. Hybrid Haar wavelet transforms is gen...

The initial step in most facial age estimation systems consists of accurately aligning a model to the output of a face detector (e.g. an Active Appearance Model). This fitting process is very expensive in terms of computational resources and prone to get stuck in local minima. This makes it impractical for analysing faces in resource limited computing devices. In this paper we build a face age ...

The performance of 24 density functionals, including 14 meta-generalized gradient approximation (mGGA) functionals, is assessed for the calculation of vertical excitation energies against an experimental benchmark set comprising 14 small- to medium-sized compounds with 101 total excited states. The experimental benchmark set consists of singlet, triplet, valence, and Rydberg excited states. The...

This paper proposes an advanced age-estimation approach that combines global and local features derived from a facial image. Active Appearance Models (AAMs) technique is used to construct the global facial features, while local facial features are generated from Local Binary Pattern (LBP) encoding. Ageestimation is performed in a two-step method: coarse (initial) prediction followed by a refini...

the objective of this study was to evaluate the ability of ten gcms and three emission scenarios to reproduce the rainfall and temperature parameters in kermanshah, ravansar and west islamabad stations located inside qaresou basin in iran using the average weighting method, over 1989-2008 period. at first, the models output and the scenarios were provided for this period. then, the models valid...