scholarly journals Corrigendum: Effects of Short- and Long-Term Variation in Resource Conditions on Soil Fungal Communities and Plant Responses to Soil Biota

2019 ◽  
Vol 9 ◽  
Author(s):  
Philip G. Hahn ◽  
Lorinda Bullington ◽  
Beau Larkin ◽  
Kelly LaFlamme ◽  
John L. Maron ◽  
...  
Keyword(s):  
Soil Biota ◽  
Fungal Communities ◽  
Plant Responses ◽  
Term Variation ◽  
Short And Long Term ◽  
Resource Conditions

scholarly journals Effects of Short- and Long-Term Variation in Resource Conditions on Soil Fungal Communities and Plant Responses to Soil Biota

2018 ◽  
Vol 9 ◽  
Author(s):  
Philip G. Hahn ◽  
Lorinda Bullington ◽  
Beau Larkin ◽  
Kelly LaFlamme ◽  
John L. Maron ◽  
...  
Keyword(s):  
Soil Biota ◽  
Fungal Communities ◽  
Plant Responses ◽  
Term Variation ◽  
Short And Long Term ◽  
Resource Conditions

Short and long-term variation of plasma glycine betaine concentrations in humans

2004 ◽  
Vol 37 (3) ◽  
pp. 184-190 ◽  
Author(s):  
Michael Lever ◽  
Peter C.M Sizeland ◽  
Christopher M Frampton ◽  
Stephen T Chambers
Keyword(s):  
Glycine Betaine ◽  
Term Variation ◽  
Short And Long Term

scholarly journals Short and Long Term Variation in Ultraviolet Radiation and Multiple Sclerosis

2012 ◽  
Vol 9 (3) ◽  
pp. 685-697 ◽  
Author(s):  
Cristina Menni ◽  
Walter E. Lowell ◽  
Joan Bentzen ◽  
Roberto Bergamaschi ◽  
Filippo Martinelli Boneschi ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Ultraviolet Radiation ◽  
Term Variation ◽  
Short And Long Term

scholarly journals Effects of agricultural soil management practices on soil microbiota across Europe – investigations in seven long term field experiments

2020 ◽  
Author(s):  
Luis F. Arias ◽  
Gema Guzmán ◽  
José A. Gómez ◽  
Manuel Anguita-Maeso ◽  
Dumitria Dascalu ◽  
...  
Keyword(s):  
Ecosystem Services ◽  
Beta Diversity ◽  
Alpha Diversity ◽  
Soil Management ◽  
Soil Biota ◽  
Fungal Communities ◽  
Soil Biodiversity ◽  
Soil Dna ◽  
General Terms

<p>Traditionally, soil quality has been assessed through physical, chemical and biological properties without paying attention to soil biota and the different associated ecosystem services provided (Tyler, 2019). To fill that gap, the european BiodivERsA “SoilMan” project (Ecosystem services driven by the diversity of soil biota – understanding and management in agriculture) is focused on the relations among soil management, soil biodiversity, and ecosystem services, at seven different management gradients in agricultural long term observations (LTO’s) trials across Europe (France “SOERE-PROs EFELE” and “SOERE-ACBB Lusigan”, Romania “Turda”, Sweden “Angermanland” and “Säby-Uppland”, Germany “Garte Süd” and Spain “La Hampa”). Management gradients covered different tillage regimes (zero, minimum and conventional) and different crop rotations (crop types and duration).</p><p>In the present study, we characterised the bacterial and fungal communities of soils from the different countries and agricultural managements in arable land. The samplings were carried out following the same methodology in all the countries during 2017-2018 when wheat was sown in the LTO’s. The soil DNA was extracted and subjected to metabarcoding analysis of 16S and Internal Transcribed Spacer (ITS) ribosomal RNA (rRNA) for bacterial and fungal community analysis, respectively.</p><p>Different alpha diversity metrics, including number of OTUs, Simpsons and Shannon indexes, as well as beta diversity distances (weighted and unweighted UNIFRAC, Jaccard and Bray-Curtis) were calculated. Multidimensional Scaling ordination plots (PCoA) were used to visualize the existence of community gradients among locations and soil managements. All the statistical data  procedure  was analysed using the vegan R package (Oksanen, 2011).</p><p>In general terms, results show that alpha diversity for both bacteria and fungi, clearly differs among countries while soil management effects are less defined among and within countries. Concerning the beta diversity indexes, communities tend to cluster more according to the spatial location than due to the soil management regimen. This is especially true for fungal communities. Further analysis will identify possible correlations of bacterial and fungal communities with environmental variables and other physicochemical and biological soil properties.</p><p><strong>References:</strong></p><p>Oksanen, J. (2011). Multivariate Analysis of Ecological Communities in R: vegan tutorial.</p><p>Tyler, H. L. (2019). Bacterial community composition under long-term reduced tillage and no till management. Journal of Applied Microbiology, 126(6), 1797–1807. https://doi.org/10.1111/jam.14267</p>

scholarly journals Impact of consistent fibre properties on optimization of fabric barré

1970 ◽  
Vol 4 (2) ◽  
pp. 53-58 ◽  
Author(s):  
Md Sanuwar Rashid
Keyword(s):  
Natural Fibre ◽  
Climate Condition ◽  
Fibre Properties ◽  
Color Grade ◽  
Cotton Fibres ◽  
Term Variation ◽  
Short And Long Term ◽  
International University ◽  
Seasonal Weather

Cotton is a natural fibre. It's growth depends upon the seasonal weather, climate condition and affection of paste and insects. So the properties of cotton fibres vary not only from lot to lot but also in same lot. The properties such as Micronaire, color grade, maturity measure the ability of dye absorbency of fibre. So if there is high variation of these properties in cotton then a significant variation of dye absorbency in fabric is observed. So the fabric, made form cotton yarn having inconsistent properties, generate complain of barré marks known as patta to our local people. To eliminate or minimize the problem of barré we must have to ensure the uniform distribution of cotton properties throughout the yarn manufacturing stages. And Bale Management is the procedure of determining mix laydowns by maintaining an appropriate combination of cotton properties with consistency through several mixes. Short and long term variation of fibre properties with in and between mixes is responsible for fabric barré which is possible to avoid by bale management. Keywords: Barré, micronaire, color grade, immaturity, mixing, laydown. DOI: 10.3329/diujst.v4i2.4367 Daffodil International University Journal of Science and Technology Vol.4(2) 2009 pp.53-58

scholarly journals Tracking Fast and Slow Changes in Synaptic Weights from Simultaneously Observed Pre- and Postsynaptic Spiking

2021 ◽  
pp. 1-28
Author(s):  
Ganchao Wei ◽  
Ian H. Stevenson
Keyword(s):  
Spike Timing ◽  
Inhibitory Synapses ◽  
Adaptive Smoothing ◽  
Long Term Changes ◽  
Term Variation ◽  
Short And Long Term ◽  
Flexible Framework ◽  
Presynaptic Spike ◽  
The Common

Synapses change on multiple timescales, ranging from milliseconds to minutes, due to a combination of both short- and long-term plasticity. Here we develop an extension of the common generalized linear model to infer both short- and long-term changes in the coupling between a pre- and postsynaptic neuron based on observed spiking activity. We model short-term synaptic plasticity using additive effects that depend on the presynaptic spike timing, and we model long-term changes in both synaptic weight and baseline firing rate using point process adaptive smoothing. Using simulations, we first show that this model can accurately recover time-varying synaptic weights (1) for both depressing and facilitating synapses, (2) with a variety of long-term changes (including realistic changes, such as due to STDP), (3) with a range of pre and postsynaptic firing rates, and (4) for both excitatory and inhibitory synapses. We then apply our model to two experimentally recorded putative synaptic connections. We find that simultaneously tracking fast changes in synaptic weights, slow changes in synaptic weights, and unexplained variations in baseline firing is essential. Omitting any one of these factors can lead to spurious inferences for the others. Altogether, this model provides a flexible framework for tracking short- and long-term variation in spike transmission.

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