Miracle-dz/UniFAR-FTUs huggingface dataset:
2005 SGS MINERALS SERVICES TECHNICAL BULLETIN 2005-3 FLOTATION PLANT DESIGN AND PRODUCTION PLANNING THROUGH GEOMETALLURGICAL MODELLING

The key to successful flotation plant design, production planning and mine/ mill optimisation is a solid understanding of the resource to be processed. As advocated by the authors of this paper, the main components of geometallurgical modelling of an orebody and its associated flotation plant are: • an ore sampling program and subsequent laboratory testing of these samples in order to extract process model parameters, • geostatistical distribution throughout the resource model of the process parameters, • calibration of the plant via benchmarking (for existing operations), and • plant simulation using a system of process models and the distributed metallurgical parameters (from step b) as the data set. It is important that the grinding and flotation models are linked. For example, a laboratory test conducted on a drill core sample, intended to represent a portion of the orebody, is conducted at a specific grind (represented by a P80). However, when that ore is actually processed through the plant it may well be (and in many cases most likely will be) at another P80-. Additionally, the flotation plant residence time will often be determined solely by the 2 grinding circuit capacity and feed slurry density. In the case of SAG mill – ball mill circuits, the fluctuations in tonnage and grind are known to be high. The modelling approach described in this paper allows for changes in the measured flotation kinetic parameters in order to reflect the expected grind as determined by the comminution process. A valuable aspect of the geometallurgical modelling approach is the ability to identify and quantify sources of error to obtain the precision of a design or production forecast. The main sources of error are in the flotation test itself, the geostatistical error (related to sample density), and the model calibration error. The latter is determined through plant benchmarking.
Impact of Interactivity of Electronic Word of Mouth Systems and Website Quality on Customer E-Loyalty

In this study, we aim to identify the impact of interactivity of electronic word of mouth (EWOM) systems on customer e-loyalty based on Interactivity Theory. In electronic market place, consumers now interact with e-retailers and other consumers with the help of EWOM systems. We have also tried to identify the impact of website quality on customer e-loyalty. An empirical data of 400 respondents is collected through questionnaires in the city of Lahore, Pakistan. Structural Equation Modeling (SEM) is employed to analyze the key relationships. Findings show that interactivity of EWOM systems has a positive influence on customer e-loyalty. If this interaction is properly managed, it can increase the customer e-loyalty. Findings also show that website quality has a positive influence on customer e-loyalty. In the context of electronic commerce, EWOM systems are of uprising concern. These findings could be of help to the electronic commerce companies in raising their customers’ e-loyalty by appropriately managing their EWOM systems.
Assessment of heavy metal status of sediment and water in Mainefhi and Toker drinking-water reservoirs of Asmara City, Eritrea

In the present study sediment and water samples collected from Mainefhi and Toker reservoirs supplying drinking water to Asmara city (Eritrea) were analyzed for the concentration levels of the heavy metals Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb and Zn using Flame Atomic Absorption Spectrometry. The mean concentration levels of heavy metals in the water of Mainefhi reservoir: Cd 0.0035 mg/l, Cr 0.028 mg/l, Cu 0.004 mg/l, Fe 0.242 mg/l, Mn 0.065 mg/l, Ni 0.011 mg/l and Zn 0.016 mg/l. Similarly, the concentration levels for the water of Toker reservoirs: Cd 0.001 mg/l, Cr 0.017 mg/l, Cu 0.011 mg/l, Fe 0.165 mg/l, Mn 0.096 mg/l, Ni 0.007 mg/l. Zn 0.016 mg/l. All the mean concentration values of the heavy metals, were below the WHO guideline limits for drinking water, excluding Cd in Mainefhi reservoir, which is of higher value than WHO value. Co and Pb were not detected in the water samples of both reservoirs. The mean concentrations of the heavy metals in the sediment of Mainefhi were Co 0.790 mg/l, Cr 14.607 mg/l, Cu 8.167 mg/l, Fe 11,421.9 mg/l (1.142%), Mn 87.254 mg/l, Ni 4.539 mg/l, Pb 1.752 mg/l and Zn 5.769 mg/l. Analogously, the levels of heavy metals in Toker sediment Cd 0.005 mg/l, Co 33.860 mg/l, Cr 252.598 mg/l, Cu 83.396 mg/l, Fe 87,502.6 mg/l (8.752%), Mn 1455.746 mg/l, Ni 87.806 mg/l, Pb 5.005 mg/l and Zn 88.936 mg/l. The mean concentration levels of Mainefhi sediment were below the consensus-sediment quality guidelines of NOAA. Moreover, Cr, Fe, Mn, and Ni were above the consensus-sediment quality guidelines of NOAA for Toker sediment. Four different methods of assessment of the accumulation and contamination status of the sediment of heavy metals were applied. The Geo-accumulation index (I-geo) and Contamination factor (CF) results indicated that Mainefhi sediment was unpolluted (I-geo ≤0, CF<1), while the Toker sediment was moderately polluted for Co, Cr, Cu, Fe and Mn (I-geo 0-1, CF1-3). The contamination degree (CD) calculations also showed that Mainefhi sediment was not contaminated while Toker sediment was in the 'moderate contamination degree' (CD 6-12). Enrichment factor (EF) values for sediments of both Mainefhi and Toker reservoirs (EF < 2) indicated there was little or no influence by anthropogenic input in regards to the measured heavy metals. Strong positive correlation exists between the mean concentration of the heavy metals in the sediment and water of both reservoirs. A Pearson's correlation result gave r =0.97, n = 9, p<0.01 for Mainefhi reservoir and r =0.86, n = 9, p<0.01 for Toker reservoir. American Journal of Research Communication www.usa-journals.com Tesfamariam, et al., 2016: Vol 4(6) 77
BMO Solvability and A ∞ Condition of the Elliptic Measures in Uniform Domains

We consider the Dirichlet boundary value problem for divergence form elliptic operators with bounded measurable coefﬁcients. We prove that for uniform domains with Ahlfors regular boundary, the BMO solvability of such problems is equivalent to a quantitative absolute continuity of the elliptic measure with respect to the surface measure, i.e
Diminishing Fence from Sweep Image Sequences Using Structure from Motion and Light Field Rendering

Diminishing the appearance of a fence in an image, so-called de-fencing, is a challenging research area due to the characteristics of fences (i.e., thin, texture-less, etc.) and a requirement for occluded background restoration. In this paper, we describe a de-fencing method for an image sequence captured via a user’s sweep motion, in which occluded background is potentially observed. To make use of geometric and appearance natures of such consecutive images, we use two well-known approaches: Structure from motion and light field rendering. The results using real image sequences showed that our method is superior to an image-inpainting-based approach in some use cases. ACM Classification
Step lengths in BFGS method for monotone gradients

In this paper, we consider how to directly apply the BFGS method to finding a zero point of any given monotone gradient and thus suggest new conditions to locate the corresponding step lengths. The suggested conditions involve curvature condition and merely use gradients’ computations. Furthermore, they can guarantee convergence without any other restrictions. Finally, preliminary numerical experiments indicate their practical effectiveness in solving some systems of nonlinear equations arising in boundary value problems and others.
GEOMETRIC ACCURACY OF PHYSICAL AND SURFACE MODELS CREATED FROM COMPUTED TOMOGRAPHY DATA

When accurate physical models are fabricated from patient specific computed tomography (CT) data, the physical models can be used as a source of preoperative planning, surgical template, or as replacement implants [1,2]. The creation of the physical models generally follows a three step process: 1. CT imaging; 2. three-dimensional (3D) surface model generation; 3. physical model fabrication. Quantifying the errors within each step can help reduce the overall error of the physical model. Therefore, the objective of the current study was to determine the accuracy of surface models and physical models created from CT data. The errors within the process that were quantified include the CT slice thickness and spacing, the algorithms used to create the 3D surface models from the thresholded CT data, and the creation of initial graphics exchange specification (IGES) computer aided design (CAD) models from the stereolithographic (STL) surface models. In addition this study looks at the accuracy of 3D bone models generated from magnetic resonance imaging (MRI) compared to CT data. The results of this study support the definition of application appropriate protocols to fabricate physical parts from CT data.
FINAL DRAFT : Performance Analysis of MICS-based RF Wireless Power Transfer System for Implantable Medical Devices

In medical applications, implant devices are used to measure and remotely transmit the human biological signals to off-body devices. To date, providing the implantable medical devices (IMDs) with a constant and perpetual energy source remains an ongoing challenge. Accordingly, a far-field radio-frequency (RF) powering, represented by access point (AP), in conjunction with energy-harvesting capability is deployed in this paper for continuous powering of the IMDs. In this respect, theoretical analysis is used to establish safe powering conditions in order to comply with the safety limits established by the Federal Communications Commission. The feasibility of the wireless power transfer (WPT) to the IMDs is investigated by deriving analytical closed-form expressions for outage probability and average harvested energy, both of which are validated with Monte Carlo simulations. The findings of this study suggest not to exceed a distance of 0.5 m between the AP and the body surface, as the system performance has experienced high outage probability beyond this value, while the minimum allowable distance is 17 cm at a powering frequency of 403 MHz. It is also presented that the access point should be equipped with a minimum transmit power of 0.4 W in order to maintain an outage probability for the energy-harvesting to less than 10−1. INDEX TERMS Energy harvesting, implantable medical devices, outage probability, RF wireless power transfer.
Compensatory functional reorganizationmayprecede hypertension-relatedbrain damage andcognitive decline : a functionalmagnetic resonance imaging study

Journal of Hypertension 2017, 35:1252–1262 Institute of Psychology, Institute of Experimental Physics, University of Gdansk, 2nd Department of Radiology, Department of Hypertension and Diabetology, Department of Neurology of Adults, Medical University of Gdansk, Gdansk, Poland and Department of Cardiovascular Diseases, International Clinical Research Center, St. Anne’s University Hospital in Brno (FNUSA), Brno, Czech Republic
Black Carbon 에 대한 Naphthalene 과 Phenanthrene 의 수착 및 탈착동력학 오상화 1 ·

Black carbon (BC), a kind of high surface area carbonaceous material (HSACM), was isolated from Andong lake sediment. Sorption and desorption kinetics of naphthalene (Naph) and phenanthrene (Phen) in organic carbon (OC) and BC in the Andong lake sediment were investigated. Several kinetic models such as one-site mass transfer model (OSMTM), two-compartment first-order kinetic model (TCFOKM), and a newly proposed modified two-compartment first-order kinetic model (MTCFOKM) were used to describe the sorption and desorption kinetics. The MTCFOKM was the best fitting model. The MTCFOKM for sorption kinetics showed that i) the sorbed amounts of PAHs onto BC were higher than those onto OC, consistent with BET surface area; ii) the equilibration time for sorption onto BC was longer than those onto OC due to smaller size of micropore (11.67 Å) of BC than OC (38.18 Å); iii) initial sorption velocity of BC was higher than OC; and iv) the slow sorption velocity in BC caused the later equilibrium time than OC even though the fast sorption velocity was early completed in both BC and OC. The MTCFOKM also described the desorption of PAHs from the OC and BC well. After desorption, the remaining fractions of PAHs in BC were higher than those in OC due to stronger PAHs-BC binding. The remaining fractions increased with aging for both BC and OC.
This is a repository copy of Multiview Stereophotogrammetry for Post-mastectomy Breast Reconstruction

A multi-view three dimensional stereophotogrammetry system was developed to capture 3D shape of breasts for breast cancer patients. The patients had received immediate unilateral breast reconstruction after mastectomy by the extended latissimus dorsi flap and without contra-lateral surgery. In order to capture the whole breast shape including the infra mammary fold, the patients were introduced to the imaging room and leaned over the imaging rig to open up the infra mammary fold and to expose the entire area of each breast. The imaging system consisted of eight high-resolution (4504 × 3000 pixels) digital cameras and four flash units. The cameras were arranged in four stereo pairs from four different view angles to cover the whole surface of the breasts. The system calibration was carried out ahead of every capture X. Ju Medical Devices Unit, Southern General Hospital, Glasgow G51 4TF, UK. Tel. : +44-141-2119737 E-mail: xiangyang.ju@glasgow.ac. uk H. Henseler Medizinische Hochschule Hannover (Hannover Medical School), Abteilung fr Plastische-, Handund Wiederherstellungschirurgie (Department of Plastic-, Handand Reconstructive Surgery) Carl-Neuberg-Strae 1, 30625 Hannover, Germany. J. Peng Dept. of Joint Surgery, First Affiliated Hospital of Guangzhou Medical University. Guangzhou Research Institute of Computational Orthopedics at Joint Implantation Key Laboratory of Guangdong Province, China. B. Khambay Pediatric Dentistry and Orthodontics, Faculty of Dentistry. The University of Hong Kong, Hong Kong. A. Ray Canniesburn Plastic Surgery Unit Glasgow, Glasgow Royal Infirmary, 84 Castle Street, Glasgow G4 0SF, UK. A. Ayoub Glasgow University MVLS college, Medical Faculty, Dental Hospital and School, 378 Sauchiehall Street, Glasgow G2 3JZ, UK. Manuscript Click here to download Manuscript: MBEC_2014. tex Click here to view linked References
Syddansk Universitet Osculum dynamics and filtration activity in small single-osculum explants of the demosponge

Contraction−inflation behavior, including the closure and opening of the exhalant opening (osculum), is common among sponges. This behavior may temporally affect filtration activity, making it difficult to study and understand sponge feeding biology. To examine the interplay between osculum dynamics and filtration activity, small (18 mm3) single-osculum explants of the demosponge Halichondria panicea were studied. Time-lapse video stereo-microscope recordings of the osculum cross-sectional area (OSA) were made simultaneously with measurements of the filtration rate (~15°C, ~20 PSU) using the clearance method. Osculum dynamics, as expressed by temporal variation of the OSA, including osculum contraction and expansion, correlated with variability in the explant filtration rate, and no water pumping was observed during periods of osculum closure. A linear relationship between filtration rate (FR) and OSA revealed a constant exhalant jet velocity: vjet = FR/OSA = 2.3 ± CI95% 0.13 cm s−1. The mean filtration rate of explants was 0.28 ± CI95% 0.06 ml min−1, corresponding to a volume-specific filtration rate of 15 ml min−1 (cm3 sponge)−1, which is 2 to 3 times higher than that reported for larger individuals of H. panicea with multiple oscula. This is the first demonstration of a direct relationship between filter feeding and osculum dynamics in a sponge.
Predicting Customer Call Intent for the Auto Dealership Industry from Analyzing Phone Call Transcripts With CNN for Multiclass Classification

Auto dealerships can receive thousands of inbound customer calls daily for a variety of reasons, or intents, including sales, service, vendor inquires, and job seeking. Given the high volume of calls, it is very important for auto dealers to precisely understand the intent of these calls to provide positive customer experiences. Positive interactions can ensure customer satisfaction and deeper customer engagement leading to a boost in sales and revenue, and even the optimum allocation of agents or customer service representatives across the business. In this paper, we define the problem of customer phone call intent as a multi-class classification problem stemming from the massive data set of recorded phone call transcripts. To tackle this problem, we develop a convolutional neural network (CNN)-based supervised learning model for semantic text analysis to classify customer calls into four intent categories: sales, service, vendor and jobseeker. Experimental results show that with the ability of our scalable data labeling method to provide sufficient training data, our CNNbased predictive model performs very well on long-transcript text classification, according to the model’s quantitative metrics of F1-Score, precision, recall and accuracy on the testing data.
PROCEEDINGS OF THE 7th INTERNATIONAL MANAGEMENT CONFERENCE "New Management for the New Economy", November 7th-8th, 2013, BUCHAREST, ROMANIA

The concept of supply chain encompasses all the activities and processes associated with the flows of merchandises, services, information and capital from origin to the end customer. A vast body of supply chain management literature deals with identifying optimum performance measurement system in a supply chain. After presenting the metrics and sub-metrics used to measure the performances in a supply chain using the balanced scorecards methodology, we propose an empirical study based on a supply chain research conducted in 2011 on a representative sample of Romanian firms from various industries. We have conducted a principal component analysis to assess the validity of scales used to collect the data. Then we have conducted OLS analysis of the impact of customers’ orientation, operational excellence and innovation/leadership on organizational performances. Results bring evidence of a positive and statistically significant impact of performances in supply chains on organizational performances.
Olympism in Practice : Psychosocial Impacts of an Educational Sport Initiative on Greek and Turkish Cypriot Youth

The current study investigated the impacts of a program that employed a blend of sports and cultural enrichment, known as Olympism, to build bridges between Greek and Turkish Cypriot children residing on the island of Cyprus. The four-month long program included two months of instructor training, meetings with the parents and a six-day summer camp that hosted 96 youth and 20 instructors from Greek and Turkish Cypriot communities. A mixed methods approach was employed to assess the psychosocial impact of the program on the youth and the instructors. The data was analyzed using a multi-method approach that employed Repeated Measures Analysis of Variance (RMANOVA), ttests, descriptive statistics and qualitative methods. The results
Assessment of slamming loads on subsea structures using the SPH method

Momm, Gustavo Garcia; Mota de Menezes, Ivan Fabio (Advisor); Assessment of slamming loads on subsea structures using the SPH method. Rio de Janeiro, 2016. 77p. MSc. Dissertation – Departmento de Engenharia Mecânica, Pontifícia Universidade Católica do Rio de Janeiro. Subsea structures employed on offshore oil and gas production systems are commonly designed to be laid on seafloor for decades. For most of these structures the installation is a critical stage and may require costly resources and significant engineering effort. Lowering subsea structures through the wave zone is a complex operation as it involves accelerations of these bodies induced by the vessel motion which, associated to the sea surface displacements, may lead to significant impact loads on these structures during water entry. The initial stage of impact during water entry has been a subject of many researches over the past century since the pioneering work of von Kármán and Wagner on the hydrodynamics of an alighting sea plane. The scenario of impact of the forebody of a ship on the sea surface has also been subject of studies, as it may cause localized and eventually catastrophic damage to the hull. Different numerical methods have been applied to the analysis of this problem. The main contribution of this work is the use of the Smoothed Particle Hydrodynamics (SPH) method to estimate slamming loads on rigid bodies during water entry considering both calm and wavy surfaces. A basic theoretical background on hydrodynamic impact load is firstly introduced, followed by the description of the SPH method. Applications of SPH to simulate water entry of rigid bodies considering both free fall and constant velocity cases are presented and results are compared with experiments and numerical simulations from the literature. The presence of regular waves during constant velocity water entry is also considered. The numerical results obtained here demonstrate the effectiveness of the proposed approach to estimate slamming loads on subsea structures during water entry.
Characterization of Numerical Dissipation Rates in Numerical Simulations Performed Using Discontinuous Galerkin Methods

Recently it has become increasingly clear that the role of a numerical dissipation, originating from the discretization of governing equations of fluid dynamics, rarely can be ignored while using explicit or implicit Large Eddy Simulations (LES). The numerical dissipation inhibits the predictive capabilities of LES whenever it is of the same order of magnitude or larger than the subgrid-scale (SGS) dissipation. This situation is generally encountered in LES performed with lower order finite volume (FV) [1] or finite difference (FD) [2] numerical methods. However, it is expected that numerical dissipation effects are negligible when high order methods are employed. One of such methods is the Discontinuous Galerkin Spectral Element Method (DGSEM) that can be regarded as a hybrid FV and Finite Elements (FE) method [3]. The purpose of this work is a systematic analysis of the numerical dissipation in the DGSEM method implemented in the code FLEXI developed by the Numerics Research Group at Stuttgart University. The analysis uses the procedure proposed recently by [1] that allows to compute the numerical dissipation rate and numerical viscosity in the physical space for arbitrary sub-domains in a self-consistent way, using only information provided by the code in question. The procedure is implemented for a three-dimensional Taylor-Green vortex (TGV) flow simulated using the DG method and compared with results obtained previously for the same flow using a FV code.
Logo Recognition

In this paper we will work on effective and scalable approaches to extracting logos from images of natural scenes. This could be very useful for contextual advertisement placement, which is about placing relevant ads on website, images, and videos. It is also useful for brand managers as it could help them understand the context that their product appear in in the images that users upload to the Internet. It is important that the system we build can do two things. First it should be able to scale well so as to be able to process the huge number of images and videos that are being uploaded every minute. Secondly, it should be easily adaptable to recognize new logos that are made everyday. In this paper we will apply deep learning methods to achieve both the above goals.