Miracle-dz/UniFAR-FTUs huggingface dataset:
Iterative Coupled Analysis of Geomechanics and Fluid Flow for Rock Compaction in Reservoir Simulation

Conventional reservoir simulators calculate the effect of rock compaction on pore volume change through the concept of rock compressibility under a defined loading condition (hydrostatic or uniaxial strain). This approach usually is appropriate for reservoirs with competent rock. For weaker formations and complicated rock compaction behavior, however, a coupled analysis of geomechanics and multiphase fluid flow may be required for obtaining more rigorous and accurate solutions from reservoir simulation. In general, computational efficiency and convergence of numerical solutions are two critical factors in order to make coupled analysis economically and numerically feasible for practical field applications. In this paper, an iterative procedure for coupled analysis of geomechanics and multi-phase flow in reservoir simulation is proposed for large-scale, full-field, 3D problems. The proposed procedure isgeneral and effective for handling reservoir rock with complicated constitutive behavior of rockcompaction and permeability change as well as for simulating various reservoir production scenarios. Descriptions of model formulations, constitutive equations, solution procedures, and strategies for enhancement of computational efficiency are presented in the paper. To demonstrate the capability of the developed procedure for iterative coupled analysis, several problems including a large-scale field example were studied and are presented.
Effects of Corporate Governance on Accounting Education andEnterprise Value in High-Tech Industry

Corporate governance, an important study on enterprise operation and management, aims to have an enterprise effectively supervise organizational activity and operation through favorable management and supervision systems or mechanisms. When a company presents sound corporate governance, the managers would maximize corporate value and shareholders’ equity to enhance the business performance and corporate value. Listed high-tech industries in Shanghai are sampled for this study. The data are acquired from China Economic and Financial Research Database. The research results conclude 1.significantly positive correlations between corporate governance and Accounting Education, 2.remarkably positive correlations between Accounting Education and enterprise value, 3.notably positive correlations between corporate governance and enterprise value, and 4.mediation effects of Accounting Education between corporate governance and enterprise value. The results could provide reference for managers in domestic high-tech industries making investment decisions and governmental authorities formulating relevant regulations. Good match with corporate governance allows a company thoroughly developing the benefit of capital expenditure to further create higher corporate value.
Assessing implicit large eddy simulation for two‐dimensional flow

Numerical models of the atmosphere cannot resolve all relevant scales; the effects of unresolved scales on resolved scales must be represented by a subgrid model or parametrization. When the unresolved scales are similar in character to the resolved scales (as in three‐dimensional or layerwise two‐dimensional turbulence) the problem is essentially one of large eddy simulation. In this situation, one approach to subgrid modelling is implicit large eddy simulation (ILES), where the truncation errors of the numerical model attempt to act as the subgrid model. ILES has been shown to have some success for three‐dimensional turbulence, but the validity of the approach has not previously been examined for two‐dimensional or layerwise two‐dimensional flow, which is the regime relevant to weather and climate modelling. Two‐dimensional turbulence differs qualitatively from three‐dimensional turbulence in several ways, most notably in having upscale energy and downscale enstrophy transfers. The question is of practical importance since many atmospheric models in effect use the ILES approach, for example through the use of a semi‐Lagrangian advection scheme. In this paper a number of candidate numerical schemes are tested to determine whether their truncation errors can approximate the subgrid terms of the barotropic vorticity equation. Results show that some schemes can implicitly model the effects of the subgrid term associated with the stretching and thinning of vorticity filaments to unresolvable scales; the subgrid term is then diffusive and is associated with the downscale enstrophy transfer. Conservation of vorticity, by using a flux form scheme rather than advective form for advection of vorticity, was found to improve performance of a candidate ILES scheme. Some effects of the subgrid terms could not be captured by any of the schemes tested, whether using an implicit or a simple explicit subgrid model: none of the schemes tested is able to capture the upscale transfer of energy from unresolved to resolved scales. Copyright © 2011 Royal Meteorological Society and British Crown Copyright, the Met Office
Vivianite formation in methane-rich deep-sea sediments from the South China Sea

Abstract. Phosphorus is often invoked as the ultimate limiting nutrient, modulating primary productivity on geological timescales. Consequently, along with nitrogen, phosphorus bioavailability exerts a fundamental control on organic carbon production, linking all the biogeochemical cycles across the Earth system. Unlike nitrogen that can be microbially fixed from an essentially infinite atmospheric reservoir, phosphorus availability is dictated by the interplay between its sources and sinks. While authigenic apatite formation has received considerable attention as the dominant sedimentary phosphorus sink, the quantitative importance of reduced iron-phosphate minerals, such as vivianite, has only recently been acknowledged, and their importance remains underexplored. Combining microscopic and spectroscopic analyses of handpicked mineral aggregates with sediment geochemical profiles, we characterize the distribution and mineralogy of iron-phosphate minerals present in methane-rich sediments recovered from the northern South China Sea. Here, we demonstrate that vivianite authigenesis is pervasive in the iron-oxide-rich sediments below the sulfate–methane transition zone (SMTZ). We hypothesize that the downward migration of the SMTZ concentrated vivianite formation below the current SMTZ. Our observations support recent findings from non-steady-state post-glacial sedimentary successions, suggesting that iron reduction below the SMTZ, probably driven by iron-mediated anaerobic oxidation of methane (Fe-AOM), is coupled to phosphorus cycling on a much greater spatial scale than previously assumed. Calculations reveal that vivianite acts as an important burial phase for both iron and phosphorus below the SMTZ, sequestering approximately half of the total reactive iron pool. By extension, sedimentary vivianite formation could serve as a mineralogical marker of Fe-AOM, signalling low-sulfate availability against methanogenic and ferruginous backdrop. Given that similar conditions were likely present throughout vast swathes of Earth's history, it is possible that Fe-AOM and vivianite authigenesis may have modulated methane and phosphorus availability on the early Earth, as well as during later periods of expanded marine oxygen deficiency. A better understanding of vivianite authigenesis, therefore, is fundamental to test long-standing hypotheses linking climate, atmospheric chemistry and the evolution of the biosphere.
Distribution of genetic diversity in Fagus sylvatica at the north-eastern edge of the natural range

An understanding of the genetic variation of the beech, especially at the edge of its natural distribution, is essential because of the change in natural distribution of the species resulting from changing climatic conditions. The main aim of the study was to determine the level of genetic diversity of European beech at the north-eastern edge of its natural range. The other aim was to check the genetic variation of beech from the two centres, the north and the south of Poland, which were identified in previous findings based on pollen analyses and phenotypic traits. The research material was the progeny of twelve beech provenances. The genetic structure of the populations was determined by ten highly variable microsatellite DNA loci. The results confirmed the high genetic diversity of beech at the north-eastern edge of its natural distribution, which infers the probability of their good adaptation to the changing climate and an extension of the range. Genetic analyses confirmed the existence of two genetic centres for beech in Poland. The populations from south-eastern Poland had a slightly higher diversity than the populations from the north-western area, which may indicate that the colonisation of Poland occurred by two routes. The results are important for creating the borders of the provenance regions and for limiting the transfer of seeds and seedlings. The choice of forest reproductive material, based on the knowledge of genetic diversity, is very important for the stability of future forests.
Stereo Visual Odometry With Place Recognition

In robotics a reliable and precise navigation system can be important. Visual Odometry (VO) is a method for estimating the ego motion of a vehicle/robot using images from a single or multiple cameras. This thesis proposes a stereo visual odometry system for estimating the camera pose combined with a place recognition system to recognize previously taken images and improve the navigation. Linear triangulation is performed in the stereo pair to generate 3D points. Descriptor based feature tracking is used to track feature points between frames and generate 3D-to-2D correspondences. The camera pose is estimated using a perspective-threepoint (P3P) solver and Random sample consensus (RANSAC) is used to reject outliers. Patch normalized images and a sequence search strategy is used to recognize paths the camera have travelled before. When a known path is recognized the camera pose is estimated from the earlier pose instead of the previous frame pose. While navigating after a known path Kalman filter is applied to the estimated pose, rejecting unrealistic motion. The system is tested on a visual odometry benchmark with 22 sequences covering more than 34 km of roads achieving 3.8% average translation error and 0.01 deg/m average rotation error per 800 Meter travelled.
A Hierarchical Framework for Phylogenetic and Ancestral Genome Reconstruction on Whole Genome Data

Gene order gets evolved under events such as rearrangements, duplications, and losses, which can change both the order and content along the genome, through the long history of genome evolution. Recently, the accumulation of genomic sequences provides researchers with the chance to handle long-standing problems about the phylogenies, or evolutionary histories, of sets of species, and ancestral genomic content and orders. Over the past few years, such problems have been proven so interesting that a large number of algorithms have been proposed in the attempt to resolve them, following different standards. The work presented in this dissertation focuses on algorithms and models for whole-genome evolution and their applications in phylogeny and ancestor inference from gene order. We developed a flexible ancestor reconstruction method (FARM) within the framework of maximum likelihood and weighted maximum matching. We designed binary code based framework to reconstruct evolutionary history for whole genome gene orders. We developed algorithms to estimate/predict missing adjacencies in ancestral reconstruction procedure to restore gene order from species, when leaf genomes are far from each other. We developed a pipeline involving maximum likelihood, weighted maximum matching and variable length binary encoding for estimation of ancestral gene content, to reconstruct ancestral genomes under the various evolutionary model, including genome rearrangements, additions, losses and duplications, with high accuracy and low time consumption. Phylogenetic analyses of whole-genome data have been limited to small collections of genomes and low-resolution data, or data without massive duplications. We designed a maximum-likelihood approach to phylogeny analysis (VLWD) based
Privacy-preserving smart meter control strategy including energy storage losses

Privacy-preserving smart meter control strategies proposed in the literature so far make some ideal assumptions such as instantaneous control without delay, lossless energy storage systems etc. In this paper, we present a one-step-ahead predictive control strategy using Bayesian risk to measure and control privacy leakage with an energy storage system. The controller estimates energy state using a three-circuit energy storage model to account for steady-state energy losses. With numerical experiments, the controller is evaluated with real household consumption data using a state-of-the-art adversarial algorithm. Results show that the state estimation of the energy storage system significantly affects the controller's performance. The results also show that the privacy leakage can be effectively reduced using an energy storage system but at the expense of energy loss.
An Easy-to-Measure Condition Factor Proposed for Domestic Goats

A proposal of an adapted Fulton's K of condition factor is proposed for goat breeds. The study included twenty five (25) adult animals of Catalan and forty-one (41) of Gwembe goat breeds, from which thoracic perimeters and body weights were obtained. The suggested formula (W/T 4 ), where W is the whole body weight expressed in kilograms and T is the thoracic perimeter expressed in metres, seems to be an easy-to-measure condition factor that is quite useful for within-breed individual evaluation.
Preference for Variety

We consider a decision maker who enjoys choosing from a varied set of alternatives. Building on behavioral evidence, we propose testable axioms which characterize preference for variety and provide a representation theorem. We go on to illustrate the potential effects of preference for variety in a model of retailing. Consumer welfare may be decreasing in the competitiveness of the retailing sector as competition eliminates the scope for retailers to offer variety. Mainstream consumers with a preference for variety and consumers with eccentric tastes enjoy a symbiotic relationship. Competition over mainstream consumers makes retailers offer more exotic goods, while eccentric consumers subsidize their carrying costs.
Bizarre Approaches For Multimodal Biometrics

Summary Establishing the identity of a person is becoming critical in our vastly interconnected society. Most biometric systems deployed in real-world applications are unimodal. i.e., they rely on the evidence of a single source of information. These limitations are addressed by multimodal biometric verification system as explained in this paper. We have selected. A multi-modal biometric system generally means the multiple biometrics system. We have chosen existing methodologies like Facial and Finger Print verification modals, ANN to be combined for verification. As a result, the performance of the proposed approach outperforms that of a single modal by about four times. Based on experimental results, the proposed system can reduce FAR down to 0.000111%, which proves that the proposed method overcomes the limitation of single biometric system and proves stable personal verification in real-time.
Acoustic detection of laser-induced plasma emission by means of a fiber-Bragg grating sensor

Laser-induced breakdown spectroscopy (LIBS) is an analytical tool able to estimate the atomic composition of materials, without sample preparation and in a short time. One drawback of this technique is that the quantitative analysis is not as precise as other established methods, in part because of the pulse-to-pulse fluctuations of the energy delivered to the sample. These fluctuations can be compensated by monitoring the acoustic wave emitted by the plasma, which is related to the ablated mass. In this paper, we propose the use of a fiber-Bragg grating sensor to detect and measure the acoustic shockwave. A processing scheme is proposed to derive the acoustic energy from the sensor waveform. The experiments show that there is a correlation between the sensor’s response and the laser pulse energy, so it can be used as a monitoring signal of the ablation process.
Identifying trips and activities and their characteristics from GPS raw data without further information

In recent years, studies based on GPS records have become more and more important due to their manifold advantages compared to classic survey methods, such as paper diaries or telephone interviews. However, without additional information, a lot of post-processing work is required to derive data that can be used for analysis and model estimation. These postprocessing procedures are still an ongoing research issue. Recently, a couple of new ideas have been published, but the key research questions remain the same. This paper focuses on the description of a post-processing procedure that is able to determine trips and activities, including several characteristics, such as modes and routes from GPS raw data without any further information. It is applied to GPS records collected in the Swiss cities of Zurich, Winterthur and Geneva with 4882 participants, each of which carried an on-person GPS-receiver for 6.65 days on average. The data outcome is compared to the Swiss Microcensus 2005 to prove that it is ready for further applications, such as discrete choice model estimations.
An innovative three-dimensional biphasic-laminated composite model for articular cartilage tissue

Articular cartilage is a three-dimensional (3D) biphasic, fiber-reinforced composite material in which collagen fibers’ have key asset in tolerating the applied stresses to cartilage by reinforcing the proteoglycan matrix of articular cartilage, especially in the superficial zone. This study is aimed to establish an innovative model based on 3D microstructure of articular cartilage for anticipating the stress distribution in the cartilage constituents. To do this, articular cartilage is modeled as a 3D biphasic-laminated composite in the superficial zone. Finite element simulation is carried out for further study on the articular cartilage behavior under unconfined indentation test. The reaction force and depth-dependent stress distribution of the presented model are compared with the classic isotropic biphasic model. Although isotropic biphasic model has been basically used to characterize the mechanical behavior of articular cartilage under different loading conditions, the results reveal that it fails to calculate stress distribution in all directions. The results of this study indicate the importance of collagen fibers’ role in reducing the stresses applied to proteoglycan matrix in all cartilage depth and increasing articular cartilage strength. Presented model has the ability to be developed for studying progressive damage of articular cartilage and the effect of collagen fibers orientations in the superficial zone on mechanical behavior of the articular cartilage. 1 School of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran 2 Tissue Engineering and Biological Systems Research Laboratory, School of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran 3 Composites Research Laboratory, Center of Excellence in Experimental Solid Mechanics and Dynamics, School of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran Corresponding author: MM Elhamian, School of Mechanical Engineering, Iran University of Science and Technology, Tehran 16846, Iran. Email: elhamian@iust.ac. ir Journal of Thermoplastic Composite Materials 1–14 a The Author(s) 2015 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav DOI: 10.1177/0892705715569821 jtc.sagepub.com
A Transdisciplinary Gaze on Wireless Community Networks

Abstract: This conversation aims at offering a transdisciplinary gaze on the phenomenon of wireless community networks: an emerging typology of local wireless infrastructures, which is built by activists as political and technological statement to face the hierarchical governance of the Internet and the issues of surveillance and control over digital networks. By a transdicliplinary gaze – emerging from the dialogue between science and technology studies (STS), legal studies, and computer science – this conversation focuses on the multi-modal ways and perspectives that can be adopted to study CNs; it also offers a reflection on challenges and opportunities arising from trasndisciplinary scientific work. In the field of STS, a growing body of literature has addressed CNs as an emblematic case study to analyse the engagement of activists and lay people in the emergence of socio-technical infrastructures and technologies. From a computer science perspective, community networks represent a challenge to develop new routing protocols, and standards to technically implement a bottom-up-approach in the building and management of innovative network architectures. Finally, from the point of view of legal studies, CNs offer the case of a still largely unregulated emerging technology, offering a novel field to test existing laws, especially under the point of view of the possible allocation of civil liability. Keywords: wireless community networks; transdisciplinarity; media infrastructures; sustainable network growth; distributed architectures regulations.