scholarly journals Production of Vanadium Concentrate from a Small-Scale Lead Vanadate Deposit by Gravity Concentration: A Pilot Plant Study

Minerals ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 957
Author(s):  
Ivan Silin ◽  
Devrim Gürsel ◽  
Dario Kremer ◽  
Klaus M. Hahn ◽  
Hermann Wotruba
Keyword(s):  
High Performance ◽  
Large Scale ◽  
Ore Deposits ◽  
Small Scale ◽  
Processing Plant ◽  
High Performing ◽  
Cobalt Nickel ◽  
Metallic Compounds ◽  
Partial Covering ◽  
Lead Vanadate

The renewable energy revolution calls for high-performing materials and makes metallic compounds like lithium, cobalt, nickel and vanadium more and more critical. Innovations contribute to inventions and developments like vanadium redox flow batteries for large-scale energy storage systems with numerous technological advantages. Potential shortages of vanadium and its sources will contribute to turbulence in vanadium pricing. Nowadays, main sources and production sites of vanadium are located in Russia, China and South Africa. About 85% of vanadium applications are ferroalloys and high-performance alloys, which make production and price of vanadium dependent on the iron ore market. Partial covering of a potential vanadium demand may be achieved by an exploitation of lead vanadate ore deposits as alternative vanadium source. In the present work, the processing of a lead vanadate ore, mainly containing vanadinite and descloizite was investigated. Based on ore characterizations and preliminary beneficiation tests, a flowsheet was developed to design a small-scale processing plant, including comminution, dewatering and gravity separation. Preliminary laboratory tests and samples from the small-scale processing plant show promising results for the recovery of vanadium in a lead vanadate concentrate with a grade of 12 to 16% V2O5 and a recovery of 68 to 75%.

scholarly journals Beyond HEP: Photon and accelerator science computing infrastructure at DESY

2020 ◽  
Vol 245 ◽  
pp. 07036
Author(s):  
Christoph Beyer ◽  
Stefan Bujack ◽  
Stefan Dietrich ◽  
Thomas Finnern ◽  
Martin Flemming ◽  
...  
Keyword(s):  
High Performance ◽  
Large Scale ◽  
High Energy Physics ◽  
High Energy ◽  
Resource Provisioning ◽  
Small Scale ◽  
Online Processing ◽  
Offline Processing ◽  
National Analysis ◽  
Energy Physics

DESY is one of the largest accelerator laboratories in Europe. It develops and operates state of the art accelerators for fundamental science in the areas of high energy physics, photon science and accelerator development. While for decades high energy physics (HEP) has been the most prominent user of the DESY compute, storage and network infrastructure, various scientific areas as science with photons and accelerator development have caught up and are now dominating the demands on the DESY infrastructure resources, with significant consequences for the IT resource provisioning. In this contribution, we will present an overview of the computational, storage and network resources covering the various physics communities on site. Ranging from high-throughput computing (HTC) batch-like offline processing in the Grid and the interactive user analyses resources in the National Analysis Factory (NAF) for the HEP community, to the computing needs of accelerator development or of photon sciences such as PETRA III or the European XFEL. Since DESY is involved in these experiments and their data taking, their requirements include fast low-latency online processing for data taking and calibration as well as offline processing, thus high-performance computing (HPC) workloads, that are run on the dedicated Maxwell HPC cluster. As all communities face significant challenges due to changing environments and increasing data rates in the following years, we will discuss how this will reflect in necessary changes to the computing and storage infrastructures. We will present DESY compute cloud and container orchestration plans as a basis for infrastructure and platform services. We will show examples of Jupyter notebooks for small scale interactive analysis, as well as its integration into large scale resources such as batch systems or Spark clusters. To overcome the fragmentation of the various resources for all scientific communities at DESY, we explore how to integrate them into a seamless user experience in an Interdisciplinary Data Analysis Facility.

Increasing organisational attractiveness

2018 ◽  
Vol 5 (2) ◽  
pp. 124-141 ◽  
Author(s):  
André de Waal
Keyword(s):  
High Performance ◽  
Large Scale ◽  
Performance Level ◽  
Quality Level ◽  
Content Type ◽  
High Performing ◽  
Customer Complaints ◽  
Positive Feeling ◽  
Study Results ◽  
High Performance Level

Purpose Happiness at work (HAW) is receiving much attention in the literature, as HAW seems to have a positive effect on organisational performance, such as in increase of productivity, lower turnover of employees and less customer complaints. There is however no research into the relation between HAW and the attractiveness of an organisation. It stands to reason that people who are happier at work are also happier about their organisation and express this to their family and friends. Having an attractive organisation is becoming increasingly important as the world is currently experiencing an economic boom creating shortages of qualified personnel. The paper aims to discuss this issue. Design/methodology/approach A possible way of creating an attractive organisation is by transforming the workplace into a high-performing organisation (HPO). The study described in this paper is looking in this respect at three hypotheses: H1. Higher HAW will increase the attractiveness of the organisation; H2. Becoming an HPO will increase HAW; and H3. Becoming an HPO will increase the attractiveness of the organisation. A large-scale survey of Dutch managers and employees was undertaken in which the respondents were asked their opinion of the high-performance level and attractiveness of their organisation, and their happiness with their job and organisation. Findings The study results show that the three hypotheses are basically confirmed. Increasing the happiness of work of employees, in general, raises the feeling of how attractive the organisation is to the employees themselves and to the external world. However, this positive feeling is mainly true for the work itself but not so much for how committed employees feel to the organisation. Practical implications Organisations now have knowledge at their disposal about ways to promote happiness in their employees, thus raising their attractiveness to current and future employees. Originality/value The study results indicate that senior management has to make more effort to raise the quality level of the organisation, preferably towards the high performance level, in order for employees to start feeling more committed to their organisation. This is because the study results show that transforming an organisation into a high-performance entity increases happiness of employees at work significantly, especially about their work and in a lesser degree with the commitment they feel towards the organisation itself. This result has not been found before, so this research provides managers for the first time with a validated way to help their staff to become happier and more productive.

Cloud Computing for Scientific Simulation and High Performance Computing

2013 ◽  
pp. 51-70
Author(s):  
Adrian Jackson ◽  
Michèle Weiland
Keyword(s):  
Cloud Computing ◽  
High Performance Computing ◽  
High Performance ◽  
Large Scale ◽  
Parallel Programs ◽  
Small Scale ◽  
Cloud Infrastructure ◽  
Scientific Simulations ◽  
Cloud Infrastructures ◽  
Performance Computing

This chapter describes experiences using Cloud infrastructures for scientific computing, both for serial and parallel computing. Amazon’s High Performance Computing (HPC) Cloud computing resources were compared to traditional HPC resources to quantify performance as well as assessing the complexity and cost of using the Cloud. Furthermore, a shared Cloud infrastructure is compared to standard desktop resources for scientific simulations. Whilst this is only a small scale evaluation these Cloud offerings, it does allow some conclusions to be drawn, particularly that the Cloud can currently not match the parallel performance of dedicated HPC machines for large scale parallel programs but can match the serial performance of standard computing resources for serial and small scale parallel programs. Also, the shared Cloud infrastructure cannot match dedicated computing resources for low level benchmarks, although for an actual scientific code, performance is comparable.

Seismic approaches for structural studies of the Sudbury basin

Geophysics ◽  
1984 ◽  
Vol 49 (10) ◽  
pp. 1675-1689 ◽  
Author(s):  
Derbew Messfin ◽  
Wooil Moon
Keyword(s):  
Large Scale ◽  
Computing Time ◽  
Granite Gneiss ◽  
High Amplitude ◽  
Ore Deposits ◽  
Small Scale ◽  
Mining District ◽  
Seismic Velocities ◽  
Initial Stage ◽  
Scale Models

This study investigates the feasibility of applying seismic techniques in the search for ore deposits, with particular emphasis given to locating orebodies at great depths. The basic procedure followed was essentially an understanding of the forward problem, whereby the effects of the subsurface structure in a typical mining district were thoroughly studied. The initial stage of the study was devoted to determining the elastic parameters by laboratory measurement of seismic velocities and densities of core samples obtained from the Sudbury basin, Canada. By virtue of its ability to handle lateral as well as vertical inhomogeneities, fast computing time and flexibility, the asymptotic ray theory was judged to be more suitable for studying the effect of geologic structures typically found in the Sudbury basin. Both large‐scale and small‐scale models, representing actual geologic conditions in Sudbury, were constructed. The computed seismic response of the large‐scale models shows that the micropegmatite/oxide‐rich quartz gabbro and the mafic norite/granite gneiss contacts are characterized by substantially strong reflections, indicating that these two interfaces can serve as marker horizons in future seismic surveys. In the small‐scale models of mineralized structures, the sulfide body was outlined by a distinctly high amplitude of reflection. Both the traveltime and the dynamic characteristics of these models have features that are indicative of the presence of mineralized structures.

Computing within limits and ICTD

First Monday ◽  
2015 ◽  
Author(s):  
Jay Chen
Keyword(s):  
Low Power ◽  
Communication Technology ◽  
High Performance ◽  
Large Scale ◽  
Information Communication Technology ◽  
Small Scale ◽  
Information Communication ◽  
Research Areas

Computing research today is fixated on high performance and large scale, but computing can be tremendously powerful even at low power and small scale. In this article we present a perspective on promising directions for research on computing within limits, where concerns about limits overshadow performance and scale. Despite coming from different motivations, computing within limits has very similar considerations as Information Communication Technology for Development (ICTD). We discuss where the two research areas intersect and where they may diverge. We draw parallels between computing within limits and ICTD in terms of technical constraints, designing for context, and goals. We hope to help stimulate computing within limits with ideas from ICTD and highlight research synergies.

Change and complementarities in the new competitive landscape: A european panel study, 1992-1996

2009 ◽  
Author(s):  
Richard Whittington ◽  
Andrew Pettigrew ◽  
Simon Peck ◽  
Evelyn Fenton ◽  
Martin Conyon
Keyword(s):  
High Performance ◽  
Large Scale ◽  
Organizational Innovation ◽  
Panel Study ◽  
Revolutionary Change ◽  
High Performing ◽  
Systematic Testing ◽  
New Organizational Forms ◽  
Large Scale Survey ◽  
Complementarity Theory

- This paper addresses three weaknesses in the literature on new organizational forms: the limited mapping of the extent of contemporary organizational change; confusion about how contemporary changes link together; and the lack of systematic testing of the performance consequences of this kind of change. Drawing on a large-scale survey of organizational innovation in European firms, the paper finds widespread but not revolutionary change in terms of organization structure, processes, and boundaries. Using the economics notion of complementarities, the paper develops contingency and configurational approaches to suggest that organizational innovations will tend to cluster in particular ways and that the performance benefits of these innovations depend on their clustering. Complementarities in performance are explored from both inductive and deductive perspectives. Consistent with the expectations of complementarity theory, high-performing firms appeared to be innovating more and differently than low-performing firms. Again consistent with complementarities, piecemeal changes with the exception of IT were found to deliver little performance benefit, while exploitation of the full set of innovations was associated with high performance. Though few European firms were found to exploit the complementarities of new organizational practices, those that did enjoyed high-performance premia.

scholarly journals Synthesis of medronic acid monoesters and their purification by high-performance countercurrent chromatography or by hydroxyapatite

2016 ◽  
Vol 12 ◽  
pp. 2145-2149 ◽  
Author(s):  
Elina Puljula ◽  
Jouko Vepsäläinen ◽  
Petri A Turhanen
Keyword(s):  
High Performance ◽  
Large Scale ◽  
Small Scale ◽  
Countercurrent Chromatography ◽  
Monoalkyl Esters

We achieved the synthesis of important medronic acid monoalkyl esters via the dealkylation of mixed trimethyl monoalkyl esters of medronic acid. Two methods were developed for the purification of medronic acid monoesters: 1) small scale (10–20 mg) purification by using hydroxyapatite and 2) large scale (tested up to 140 mg) purification by high-performance countercurrent chromatography (HPCCC).

scholarly journals An Ultra-Stretchable Sensitive Hydrogel Sensor for Human Motion and Pulse Monitoring

Micromachines ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 789
Author(s):  
Bin Shen ◽  
Jiang Li ◽  
Yongtao Tang ◽  
Huihua Xu ◽  
Fengyu Li
Keyword(s):  
Flexible Electronics ◽  
High Performance ◽  
Large Scale ◽  
Human Motion ◽  
Composite Hydrogel ◽  
Poly Vinyl Alcohol ◽  
Small Scale ◽  
Self Healing ◽  
Joint Movement ◽  
Human Movements

Ionic hydrogels with intrinsic conductivity and stretchability show great potential in flexible electronics. However, it remains a great challenge to achieve hydrogels with mechanical stretchability, ionic conductivity, optical transparency, and a self-healing ability at the same time. In this paper, we developed a hydroxyethylidene diphosphonic acid (HEDP) assisted poly(vinyl alcohol) (PVA) composite hydrogel to achieve high-performance stretch-sensitive sensor. Through a facile freeze–thaw strategy, the hydrogel could achieve large stretchability (up to 950% strain), good conductivity (10.88 S/m), excellent linear sensitivity (GF = 2.72, within 100% strain), high transparency, and significant self-healing ability. The PVA-HEDP hydrogel-based strain sensor is capable of monitoring various human movements from small scale (e.g., laryngeal vibration while speaking) to large scale (e.g., knee joint movement). Moreover, the multisite sensor array is capable of detecting the subtle differences between the pulse wave features from Cun, Guan and Chi positions, mimicking the three-finger palpation in Traditional Chinese Medicine. This work demonstrates that the composite hydrogel-based flexible sensor provides a promising solution for multifunctional human activities and health monitoring.

AN AGENT-BASED MODEL OF HUMAN DISPERSALS AT A GLOBAL SCALE

2013 ◽  
Vol 16 (04n05) ◽  
pp. 1350023 ◽  
Author(s):  
SIMONE CALLEGARI ◽  
JOHN DAVID WEISSMANN ◽  
NATALIE TKACHENKO ◽  
WESLEY P. PETERSEN ◽  
GEORGE LAKE ◽  
...  
Keyword(s):  
Population Dynamics ◽  
High Performance ◽  
Large Scale ◽  
Global Scale ◽  
Small Scale ◽  
Emergent Properties ◽  
Agent Based ◽  
Human Dispersal ◽  
Model Hierarchy ◽  
Empirical Context

In this paper, we report on the theoretical foundations, empirical context and technical implementation of an agent-based modeling (ABM) framework, that uses a high-performance computing (HPC) approach to investigate human population dynamics on a global scale, and on evolutionary time scales. The ABM-HPC framework provides an in silico testbed to explore how short-term/small-scale patterns of individual human behavior and long-term/large-scale patterns of environmental change act together to influence human dispersal, survival and extinction scenarios. These topics are currently at the center of the Neanderthal debate, i.e., the question why Neanderthals died out during the Late Pleistocene, while modern humans dispersed over the entire globe. To tackle this and similar questions, simulations typically adopt one of two opposing approaches, top-down (equation-based) and bottom-up (agent-based) models of population dynamics. We propose HPC technology as an essential computational tool to bridge the gap between these approaches. Using the numerical simulation of worldwide human dispersals as an example, we show that integrating different levels of model hierarchy into an ABM-HPC simulation framework provides new insights into emergent properties of the model, and into the potential and limitations of agent-based versus continuum models.

scholarly journals From numerical prototypes to real models: a progressive study of aerodynamic parameters of nonconventional concrete structures with Computational Fluid Dynamics

2020 ◽  
Vol 13 (3) ◽  
pp. 628-643
Author(s):  
C. V. S. SARMENTO ◽  
A. O. C. FONTE ◽  
L. J. PEDROSO ◽  
P. M. V. RIBEIRO
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
High Performance ◽  
Large Scale ◽  
Computational Models ◽  
Computational Cost ◽  
Concrete Structures ◽  
Navier Stokes ◽  
Small Scale ◽  
Aerodynamic Parameters

Abstract The practical evaluation of aerodynamic coefficients in unconventional concrete structures requires specific studies, which are small-scale models evaluated in wind tunnels. Sophisticated facilities and special sensors are needed, and the tendency is for modern and slender constructions to arise with specific demands on their interaction with the wind. On the other hand, the advances obtained in modern multi-core processors emerge as an alternative for the construction of sophisticated computational models, where the Navier-Stokes differential equations are solved for fluid flow using numerical methods. Computations of this kind require specialized theoretical knowledge, efficient computer programs, and high-performance computers for large-scale calculations. This paper presents recent results involving two real-world applications in concrete structures, where the aerodynamic parameters were estimated with the aid of computational fluid dynamics. Conventional quad-core computers were applied in simulations with the Finite Volume Method and a progressive methodology is presented, highlighting the main aspects of the simulation and allowing its generalization to other types of problems. The results confirm that the proposed methodology is promising in terms of computational cost, drag coefficient estimation and versatility of simulation parameters. These results also indicate that mid-performance computers can be applied for preliminary studies of aerodynamic parameters in design offices.

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