scholarly journals Effects of different weed cutting methods on physical and hydromorphological conditions in lowland streams

2021 ◽  
pp. 10
Author(s):  
Jes Jessen Rasmussen ◽  
Helena Kallestrup ◽  
Kirstine Thiemer ◽  
Anette Baisner Alnøe ◽  
Lisbeth Dalsgaard Henriksen ◽  
...  
Keyword(s):  
Habitat Quality ◽  
Large Scale ◽  
Aquatic Plant ◽  
Quality Parameters ◽  
Storm Events ◽  
Short Term ◽  
Lowland Streams ◽  
Plant Removal ◽  
Flooding Events ◽  
Cutting Intensity

Climate change has increased the frequency and intensity of stream flooding events. In response, managing authorities may increase frequency and intensity of aquatic plant removal (weed cutting) to lower the water level in rivers possibly impairing physical and hydromorphological stream conditions. We studied 32 Danish lowland streams subjected to three different weed cutting practices, representing a gradient in weed cutting intensity, and uncut controls to compare physical and hydromorphological habitat quality parameters among stream groups. Moreover, we measured short-term changes in dissolved oxygen (DO) concentrations and suspended sediment (SS) transport in two streams before, during, and just after weed cutting for the least and most pervasive weed cutting method, respectively. Our results indicated a lower habitat quality affiliated with increasing intensity of weed cutting practice, notably an association with silt cover at the expense of hard substrate. DO concentrations were relatively unaltered but an abrupt increase in SS transport comparable to storm events was observed during cutting with the most pervasive method. Our results indicate that ecological and hydromorphological effects of high intensity weed cutting should be carefully studied and considered before large scale implementation.

First flush effects in an urban catchment area in Aalborg

1998 ◽  
Vol 37 (1) ◽  
pp. 251-257 ◽  
Author(s):  
Torben Larsen ◽  
Kirsten Broch ◽  
Margit Riis Andersen
Keyword(s):  
Water Quality ◽  
Catchment Area ◽  
Quality Parameters ◽  
Average Concentration ◽  
First Flush ◽  
Storm Events ◽  
Urban Catchment ◽  
Discharge Measurements ◽  
Quality Measurements

The paper describes the results of measurements from a 2 year period on a 95 hectare urban catchment in Aalborg, Denmark. The results of the rain/discharge measurements include 160 storm events corresponding to an accumulated rain depth of totally 753 mm. The water quality measurements include 15 events with time series of concentration of SS, COD, BOD, total nitrogen and total phosphorus. The quality parameters showed significant first flush effects. The paper discusses whether either the event average concentration or the accumulated event mass is the most appropriate way to characterize the quality of the outflow.

scholarly journals BattleNet: Capturing Advantageous Battlefield in RTS Games (Student Abstract)

2020 ◽  
Vol 34 (10) ◽  
pp. 13849-13850
Author(s):  
Donghyeon Lee ◽  
Man-Je Kim ◽  
Chang Wook Ahn
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Real Time ◽  
Large Scale ◽  
Outcome Predictor ◽  
Short Term ◽  
Rts Game

In a real-time strategy (RTS) game, StarCraft II, players need to know the consequences before making a decision in combat. We propose a combat outcome predictor which utilizes terrain information as well as squad information. For training the model, we generated a StarCraft II combat dataset by simulating diverse and large-scale combat situations. The overall accuracy of our model was 89.7%. Our predictor can be integrated into the artificial intelligence agent for RTS games as a short-term decision-making module.

scholarly journals Blastocyst formation, embryo transfer and breed comparison in the first reported large scale cloning of camels

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
P. O. Olsson ◽  
A. H. Tinson ◽  
N. Al Shamsi ◽  
K. S. Kuhad ◽  
R. Singh ◽  
...  
Keyword(s):  
Embryo Transfer ◽  
Nuclear Transfer ◽  
Large Scale ◽  
Donor Cell ◽  
Blastocyst Formation ◽  
Short Term ◽  
Embryo Formation ◽  
Large Expansion ◽  
Breed Differences ◽  
Breed Comparison

AbstractCloning, through somatic cell nuclear transfer (SCNT), has the potential for a large expansion of genetically favorable traits in a population in a relatively short term. In the present study we aimed to produce multiple cloned camels from racing, show and dairy exemplars. We compared several parameters including oocyte source, donor cell and breed differences, transfer methods, embryo formation and pregnancy rates and maintenance following SCNT. We successfully achieved 47 pregnancies, 28 births and 19 cloned offspring who are at present healthy and have developed normally. Here we report cloned camels from surgical embryo transfer and correlate blastocyst formation rates with the ability to achieve pregnancies. We found no difference in the parameters affecting production of clones by camel breed, and show clear differences on oocyte source in cloning outcomes. Taken together we demonstrate that large scale cloning of camels is possible and that further improvements can be achieved.

How to increase customer repeated bookings in the short-term room rental market? A large-scale granular data investigation

2021 ◽  
Vol 143 ◽  
pp. 113495
Author(s):  
Jiang Wu ◽  
Jingxuan Cai ◽  
Xin (Robert) Luo ◽  
Jose Benitez
Keyword(s):  
Large Scale ◽  
Short Term ◽  
Rental Market ◽  
Data Investigation

scholarly journals The Role of Risk Preferences in Responses to Messaging About COVID-19 Vaccine Take-Up

2021 ◽  
pp. 194855062199962
Author(s):  
Jennifer S. Trueblood ◽  
Abigail B. Sussman ◽  
Daniel O’Leary
Keyword(s):  
Large Scale ◽  
Risk Preferences ◽  
Herd Immunity ◽  
Disease Spread ◽  
Short Term ◽  
Policy Makers ◽  
Health Crisis ◽  
Flu Vaccine ◽  
Nationally Representative

Development of an effective COVID-19 vaccine is widely considered as one of the best paths to ending the current health crisis. While the ability to distribute a vaccine in the short-term remains uncertain, the availability of a vaccine alone will not be sufficient to stop disease spread. Instead, policy makers will need to overcome the additional hurdle of rapid widespread adoption. In a large-scale nationally representative survey ( N = 34,200), the current work identifies monetary risk preferences as a correlate of take-up of an anticipated COVID-19 vaccine. A complementary experiment ( N = 1,003) leverages this insight to create effective messaging encouraging vaccine take-up. Individual differences in risk preferences moderate responses to messaging that provides benchmarks for vaccine efficacy (by comparing it to the flu vaccine), while messaging that describes pro-social benefits of vaccination (specifically herd immunity) speeds vaccine take-up irrespective of risk preferences. Findings suggest that policy makers should consider risk preferences when targeting vaccine-related communications.

Overburdened Gauls: the case of Florus and Sacrovir’s revolt of 21 CE

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jared Kreiner
Keyword(s):  
Interest Rates ◽  
Large Scale ◽  
Cumulative Effect ◽  
Short Term ◽  
Local Economies ◽  
Scale Resistance ◽  
Military Campaigns ◽  
The Impact

Abstract In 21 CE, a series of localized movements broke out in Gallia Comata due to heavy debts among provincials according to Tacitus. Modern scholars have long argued that the indebtedness occurred because of rising interest rates, resulting from dwindling currency in circulation after decades of free-spending following Augustus’ victory at Actium, and that Gallic communities were subjected to an additional tribute to support the wars of Germanicus (14–16 CE), which continued unabated after the wars and pushed Gauls beyond their means. These claims are misguided, however, in that there is no certain evidence of a special tax to support Germanicus’ wars and that the argument for a dwindling circulation of currency in Gaul falters under closer inspection. Rather, the pressing statal and military needs imposed on communities in Gallia Comata after 9 CE on top of routine exactions could significantly increase burden levels levied on provincial populations, thus contributing to rising debts. Through examining how Roman logistics and conscription operated in this period, it is possible to trace how populations were impacted by such demands and which communities were most heavily affected by them, too. Individually, the impact of each factor is unlikely to have been burdensome enough to have caused large-scale resistance, it is only the cumulative effect that these explanations had on top of routine Roman extraction schemes that could create the conditions for this revolt. This paper argues that in extraordinary circumstances, such as the period after the Varian Disaster for Gallia Comata, the costs of supporting military campaigns places real short-term strains on local economies, which creates the conditions for revolt. The benefit of this approach is that it may explain other episodes of anti-fiscal resistance that broke out during or within a decade of wars in neighboring regions.

scholarly journals Two Stage Continuous Gesture Recognition Based on Deep Learning

Electronics ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 534
Author(s):  
Huogen Wang
Keyword(s):  
Gesture Recognition ◽  
Large Scale ◽  
Short Term Memory ◽  
Short Term ◽  
Hand Motion ◽  
Spatiotemporal Features ◽  
Spatiotemporal Information ◽  
Video Frames ◽  
Depth Sequences

The paper proposes an effective continuous gesture recognition method, which includes two modules: segmentation and recognition. In the segmentation module, the video frames are divided into gesture frames and transitional frames by using the information of hand motion and appearance, and continuous gesture sequences are segmented into isolated sequences. In the recognition module, our method exploits the spatiotemporal information embedded in RGB and depth sequences. For the RGB modality, our method adopts Convolutional Long Short-Term Memory Networks to learn long-term spatiotemporal features from short-term spatiotemporal features obtained from a 3D convolutional neural network. For the depth modality, our method converts a sequence into Dynamic Images and Motion Dynamic Images through weighted rank pooling and feed them into Convolutional Neural Networks, respectively. Our method has been evaluated on both ChaLearn LAP Large-scale Continuous Gesture Dataset and Montalbano Gesture Dataset and achieved state-of-the-art performance.

scholarly journals The Case for Open-Market Purchases in a Liquidity Trap

2005 ◽  
Vol 95 (1) ◽  
pp. 110-137 ◽  
Author(s):  
Alan J Auerbach ◽  
Maurice Obstfeld
Keyword(s):  
Interest Rate ◽  
Large Scale ◽  
Open Market ◽  
Macroeconomic Stabilization ◽  
Short Term ◽  
Liquidity Trap ◽  
Welfare Impact ◽  
Dynamic General Equilibrium Model ◽  
Policy Tool ◽  
Economic Experience

Prevalent thinking about liquidity traps suggests that the perfect substitutability of money and bonds at a zero short-term nominal interest rate renders open-market operations ineffective for achieving macroeconomic stabilization goals. We show that even were this the case, there remains a powerful argument for large-scale open market operations as a fiscal policy tool. As we also demonstrate, however, this same reasoning implies that open-market operations will be beneficial for stabilization as well, even when the economy is expected to remain mired in a liquidity trap for some time. Thus, the microeconomic fiscal benefits of open-market operations in a liquidity trap go hand in hand with standard macroeconomic objectives. Motivated by Japan’s recent economic experience, we use a dynamic general-equilibrium model to assess the welfare impact of open-market operations for an economy in Japan’s predicament. We argue Japan can achieve a substantial welfare improvement through large open-market purchases of domestic government debt.

Attention Biases Visual Activity in Visual Short-term Memory

2014 ◽  
Vol 26 (7) ◽  
pp. 1377-1389 ◽  
Author(s):  
Bo-Cheng Kuo ◽  
Mark G. Stokes ◽  
Alexandra M. Murray ◽  
Anna Christina Nobre
Keyword(s):  
Large Scale ◽  
Short Term Memory ◽  
Control Mechanisms ◽  
Top Down ◽  
Short Term ◽  
Visual Activity ◽  
Visual Short Term Memory ◽  
Large Scale Network ◽  
Visual Areas ◽  
Scale Network

In the current study, we tested whether representations in visual STM (VSTM) can be biased via top–down attentional modulation of visual activity in retinotopically specific locations. We manipulated attention using retrospective cues presented during the retention interval of a VSTM task. Retrospective cues triggered activity in a large-scale network implicated in attentional control and led to retinotopically specific modulation of activity in early visual areas V1–V4. Importantly, shifts of attention during VSTM maintenance were associated with changes in functional connectivity between pFC and retinotopic regions within V4. Our findings provide new insights into top–down control mechanisms that modulate VSTM representations for flexible and goal-directed maintenance of the most relevant memoranda.

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