Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data

For renewable energies to succeed in replacing fossil fuels, large-scale and affordable solutions are needed for short and long-term energy storage. A potentially inexpensive approach of storing large amounts of energy is through the use of a concentration flow cell that is based on cheap and abundant materials. Here, we propose to use aqueous iron chloride as a reacting solvent on carbon electrodes. We suggest to use it in a red-ox concentration flow cell with two compartments separated by a hydrocarbon-based membrane. In both compartments the red-ox couple of iron II and III reacts, oxidation at the anode and reduction at the cathode. When charging, a concentration difference between the two species grows. When discharging, this concentration difference between iron II and iron III is used to drive the reaction. In this respect it is a concentration driven flow cell redox battery using iron chloride in both solutions. Here, we investigate material combinations, power, and concentration relations.

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Modelling large timescale and small timescale service variability

Annals of Operations Research ◽

10.1007/s10479-019-03395-9 ◽

2019 ◽

Vol 293 (1) ◽

pp. 123-140

Author(s):

Marco Gribaudo ◽

Illés Horváth ◽

Daniele Manini ◽

Miklós Telek

Keyword(s):

Service Time ◽

Large Scale ◽

Service Time Distribution ◽

Efficient Computation ◽

Short Term ◽

Service Unit ◽

Long Term Effect ◽

Short And Long Term ◽

Short Term Variability

Abstract The performance of service units may depend on various randomly changing environmental effects. It is quite often the case that these effects vary on different timescales. In this paper, we consider small and large scale (short and long term) service variability, where the short term variability affects the instantaneous service speed of the service unit and a modulating background Markov chain characterizes the long term effect. The main modelling challenge in this work is that the considered small and long term variation results in randomness along different axes: short term variability along the time axis and long term variability along the work axis. We present a simulation approach and an explicit analytic formula for the service time distribution in the double transform domain that allows for the efficient computation of service time moments. Finally, we compare the simulation results with analytic ones.

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A short and sudden increase of the magnetic field strength and the accompanying spectral variability in the O9.7 V star HD 54879

Monthly Notices of the Royal Astronomical Society ◽

10.1093/mnras/stz198 ◽

2019 ◽

Vol 484 (4) ◽

pp. 4495-4506 ◽

Cited By ~ 4

Author(s):

S Hubrig ◽

M Küker ◽

S P Järvinen ◽

A F Kholtygin ◽

M Schöller ◽

...

Keyword(s):

Magnetic Field ◽

Large Scale ◽

Longitudinal Magnetic Field ◽

Sudden Increase ◽

Spectral Variability ◽

Dipole Strength ◽

Large Program ◽

Short And Long Term ◽

The Magnetic Field

Abstract Only 11 O-type stars have been confirmed to possess large-scale organized magnetic fields. The presence of a −600 G longitudinal magnetic field in the O9.7 V star HD 54879 with a lower limit of the dipole strength of ∼2 kG was discovered a few years ago in the framework of the ESO large program ‘B-fields in OB stars’. Our FORS 2 spectropolarimetric observations from 2017 October 4 to 2018 February 21 reveal the presence of short- and long-term spectral variability and a gradual magnetic field decrease from about −300 G down to about −90 G. Different scenarios are discussed in an attempt to interpret our observations. Our FORS 2 radial velocity measurements indicate that HD 54879 is a member of a long-period binary.

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Short- and Long-Term Effects of Nonconsciously Processed Ambient Scents in a Servicescape: Findings From Two Field Experiments

Journal of Service Research ◽

10.1177/1094670519842333 ◽

2019 ◽

Vol 22 (4) ◽

pp. 440-455 ◽

Cited By ~ 6

Author(s):

Anna Girard ◽

Marcel Lichters ◽

Marko Sarstedt ◽

Dipayan Biswas

Keyword(s):

Large Scale ◽

Field Experiments ◽

Field Studies ◽

Long Term Effects ◽

Short Term ◽

Railway Company ◽

Short And Long Term ◽

Ambient Scents ◽

Short Term Effects

Ambient scents are being increasingly used in different service environments. While there is emerging research on the effects of scents, almost nothing is known about the long-term effects of consumers’ repeated exposure to ambient scents in a service environment as prior studies on ambient scents have been lab or field studies examining short-term effects of scent exposure only. Addressing this limitation, we examine the short- and long-term effects of ambient scents. Specifically, we present a conceptual framework for the short- and long-term effects of nonconsciously processed ambient scent in olfactory-rich servicescapes. We empirically test this framework with the help of two large-scale field experiments, conducted in collaboration with a major German railway company, in which consumers were exposed to a pleasant, nonconsciously processed scent. The first experiment demonstrates ambient scent’s positive short-term effects on consumers’ service perceptions. The second experiment—a longitudinal study conducted over a 4-month period—examines scent’s long-term effects on consumers’ reactions and demonstrates that the effects persist even when the scent has been removed from the servicescape.

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Dalkurd FF

Cadernos de Campo (São Paulo 1991) ◽

10.11606/issn.2316-9133.v29isuplp105-113 ◽

2020 ◽

Vol 29 (supl) ◽

pp. 105-113

Author(s):

Tiago Duarte Dias

Keyword(s):

Large Scale ◽

First Year ◽

Football Club ◽

Local Institution ◽

Long Term Changes ◽

Short And Long Term ◽

The City ◽

Do So

As the whole world struggles with the appearance of a large-scale pandemic, individuals and institutions begin to cope with the perspective of both short and long-term changes to their plans. What had been planned out by many during January and February of 2020, no longer became feasible already during the following months. Thus, with the impossibility of knowing for how long this situation will persist, both individuals and institutions have changed their plans with a focus on when the situation will reverse to a degree of normalcy. This article aims to briefly understand and analyses the strategies centered around a Swedish football club founded by Kurdish individuals regarded to the consequences of the coronavirus crisis in the country. Both fans and employees at the club have changed their strategies regarding the first year they would be playing in their new hometown of Uppsala. The author will argue that, although, the crisis has changed their strategy and hampered their plans of becoming a local institution, it has not, in fact, changed their plans to be an integrated part of the city, but it has provided the club with newer opportunities to do so.

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PCPD: A Parallel Crime Pattern Discovery System for Large-Scale Spatiotemporal Data Based on Fuzzy Clustering

International Journal of Fuzzy Systems ◽

10.1007/s40815-019-00673-3 ◽

2019 ◽

Vol 21 (6) ◽

pp. 1961-1974 ◽

Cited By ~ 6

Author(s):

Khin Nandar Win ◽

Jianguo Chen ◽

Yuedan Chen ◽

Philippe Fournier-Viger

Keyword(s):

Fuzzy Clustering ◽

Large Scale ◽

Pattern Discovery ◽

Spatiotemporal Data ◽

Discovery System ◽

Crime Pattern

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Impact of large-scale photovoltaic system on short and long term voltage stability in sub-transmission network

2013 Australasian Universities Power Engineering Conference (AUPEC) ◽

10.1109/aupec.2013.6725355 ◽

2013 ◽

Cited By ~ 4

Author(s):

Shahariar Kabir ◽

Olav Krause ◽

Simon Bartlett

Keyword(s):

Large Scale ◽

Voltage Stability ◽

Photovoltaic System ◽

Transmission Network ◽

Short And Long Term

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Short- and long-term patterns of sponge diversity on a rocky tropical coast: evidence of large-scale structuring factors

Marine Ecology ◽

10.1111/j.1439-0485.2008.00228.x ◽

2008 ◽

Vol 29 (2) ◽

pp. 216-236 ◽

Cited By ~ 22

Author(s):

Jose Luis Carballo ◽

Cristina Vega ◽

José Antonio Cruz-Barraza ◽

Benjamin Yáñez ◽

Héctor Nava ◽

...

Keyword(s):

Large Scale ◽

Sponge Diversity ◽

Short And Long Term ◽

Tropical Coast

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Large-scale algorithmic search identifies stiff and sloppy dimensions in synaptic architectures consistent with murine neocortical wiring

10.1101/2021.11.13.468127 ◽

2021 ◽

Author(s):

Tarek Jabri ◽

Jason N MacLean

Keyword(s):

Visual Cortex ◽

Large Scale ◽

Normal Range ◽

Dynamical Regimes ◽

Algorithmic Search ◽

Short And Long Term ◽

Mouse Visual Cortex ◽

Parameter Values ◽

Connectivity Parameter

Complex systems can be defined by "sloppy" dimensions, meaning that their behavior is unmodified by large changes to specific parameter combinations, and "stiff" dimensions whose changes result in considerable modifications. In the case of the neocortex, sloppiness in synaptic architectures would be crucial to allow for the maintenance of spiking dynamics in the normal range despite a diversity of inputs and both short- and long-term changes to connectivity. Using simulations on neural networks with spiking matched to murine visual cortex, we determined the stiff and sloppy parameters of synaptic architectures across three classes of input (brief, continuous, and cyclical). Large-scale algorithmically-generated connectivity parameter values revealed that specific combinations of excitatory and inhibitory connectivity are stiff and that all other architectural details are sloppy. Stiff dimensions are consistent across a range of different input classes with self-sustaining synaptic architectures occupying a smaller subspace as compared to the other input classes. We also find that experimentally estimated connectivity probabilities from mouse visual cortex are similarly stiff and sloppy when compared to the architectures that we identified algorithmically. This suggests that simple statistical descriptions of spiking dynamics are a sufficient and parsimonious description of neocortical activity when examining structure-function relationships at the mesoscopic scale. Moreover, this study provides further evidence of the importance of the interrelationship of excitatory and inhibitory connectivity to establish and maintain stable spiking dynamical regimes in neocortex.

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Structural factor of reducing interterritorial inequality in the post-Covid period

E3S Web of Conferences ◽

10.1051/e3sconf/202130102001 ◽

2021 ◽

Vol 301 ◽

pp. 02001

Author(s):

Olga Romanova ◽

Alena Ponomareva

Keyword(s):

Large Scale ◽

Service Sector ◽

Negative Impact ◽

National Development ◽

Real Sector ◽

Russian Economy ◽

Short And Long Term ◽

Current Stage ◽

Significant Factors

Carrying out large-scale structural transformations of both the entire Russian economy and its individual actors is one of the most important tasks of the current stage of national development. The urgency of this problem has increased dramatically during the COVID-19 pandemic. The purpose of this paper is to identify the most significant factors in the pandemic that affect the economic growth of Russia’s regions and reduce territorial inequality. The use of methods of comparative and economic-statistical analysis made it possible to establish that the most important independent factor in the development of a region is the structure of the economy and such a factor that ensures it as the regional structural (industrial) policy. It has been substantiated that structural modernization is the basis for pursuing a non-contradictory short- and long-term policy to reduce interterritorial inequality. A particularly negative impact of the pandemic on regions with a low level of development of the real sector and overdevelopment of the service sector has been revealed.

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