scholarly journals Moisture-induced changes of mass and dimension characteristics in some cereal grains

2015 ◽  
Vol 29 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Jiri Blahovec ◽  
Magdalena Lahodová

Abstract The seeds of barley, oat, rye, and two varieties of wheat were studied during wetting thereof with special respect to changes in their mass and dimensions. Two levels of wetting were used: 6-h wetting close to the end of imbibition, and 24-h wetting close to the start of germination. The results of these experiments show that the measured quantities can be well described by the Gaussian distribution. Gaussian distribution is applied for description of the wetting effects that can be well approximated also by a second-degree polynomial of the initial state. Even though an increase in the mass, length, width, and thickness was the main effect of wetting, opposite trends in some dimensionally dependent cases were also observed. Drying of the wetted specimens led to a state that differed only slightly (less than 1%) from the initial state. Among the dimensional characteristics, the highest changes were observed in the grain length.

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 132-132
Author(s):  
Zully E Contreras-Correa ◽  
Riley D Messman ◽  
Hector Sanchez-Rodriguez ◽  
Caleb O Lemley

Abstract The objectives were to examine melatonin mediated changes in temporal uterine blood flow (UBF) and vaginal temperatures (VT) in 54 Brangus heifers (Fall, n = 29; Summer, n = 25) during compromised pregnancy. At d160 of gestation, heifers were assigned to 1 of 4 groups consisting of adequately fed (ADQ-CON; 100% NRC; n=13), global nutrient restricted (RES-CON; 60% NRC; n = 13), and ADQ or RES supplemented with 20 mg of melatonin (ADQ-MEL, n = 13; RES-MEL, n = 15). In the morning (0500h) and afternoon (1300h) of d220 of gestation, temperature dataloggers (Onset Computer Corporation) attached to progesterone-free CIDRs were used to record VT, while UBF was determined via Doppler ultrasonography. Data were analyzed using repeated measures of ANOVA (SAS). Significant differences were found in UBF and VT between Fall and Summer groups (P< 0.05), therefore seasons were individually analyzed. In Fall, a nutrition by treatment interaction was significant, where the RES-CON heifers exhibited reduced total UBF compared to ADQ-CON (5.67±0.68 vs. 7.97±0.54 L/min; P = 0.012). In Summer, there was not a main effect of nutrition (P = 0.390); nevertheless, the MEL heifers exhibited increased total UBF compared to the CON counterparts (8.16±0.73 vs. 6.00±0.70 L/min; P = 0.048). Moreover, there was a nutrition by treatment by time interaction in VT for Fall and Summer heifers (P < 0.0001). In Fall, all groups had decreased VT in the morning compared to the afternoon (P < 0.0001). Whereas, in Summer, VT increased for ADQ-CON, RES-CON, and ADQ-MEL from morning to afternoon (P < 0.0001), while the RES-MEL remained constant throughout the day (P = 0.649). Furthermore, during the afternoon RES-MEL heifers exhibited decreased VT compared to ADQ-CON (38.91±0.09 vs. 39.26±0.09°C, respectively; P=0.039). In summary, nutrient restriction and melatonin supplementation altered UBF in a season dependent manner. Additionally, with the VT differences observed in Summer, future studies should evaluate the potential of melatonin supplementation for mitigating heat stress in farm animals.


2021 ◽  
Vol 17 (5) ◽  
pp. e1008958
Author(s):  
Alan Eric Akil ◽  
Robert Rosenbaum ◽  
Krešimir Josić

The dynamics of local cortical networks are irregular, but correlated. Dynamic excitatory–inhibitory balance is a plausible mechanism that generates such irregular activity, but it remains unclear how balance is achieved and maintained in plastic neural networks. In particular, it is not fully understood how plasticity induced changes in the network affect balance, and in turn, how correlated, balanced activity impacts learning. How do the dynamics of balanced networks change under different plasticity rules? How does correlated spiking activity in recurrent networks change the evolution of weights, their eventual magnitude, and structure across the network? To address these questions, we develop a theory of spike–timing dependent plasticity in balanced networks. We show that balance can be attained and maintained under plasticity–induced weight changes. We find that correlations in the input mildly affect the evolution of synaptic weights. Under certain plasticity rules, we find an emergence of correlations between firing rates and synaptic weights. Under these rules, synaptic weights converge to a stable manifold in weight space with their final configuration dependent on the initial state of the network. Lastly, we show that our framework can also describe the dynamics of plastic balanced networks when subsets of neurons receive targeted optogenetic input.


2020 ◽  
Author(s):  
Maxime Conjard ◽  
Henning Omre

<p>The challenge in data assimilation for models representing spatio-temporal phenomena is made harder when the spatial histogram of the variable of interest appears with multiple modes. Pollution source identification constitutes one example where the pollution release represents an extreme event in a fairly homogeneous background. Consequently, our prior belief is that the spatial histogram is bimodal. The traditional Kalman model is based on a Gaussian initial distribution and Gauss-linear dynamic and observation models. This model is contained in the class of Gaussian distribution and is therefore analytically tractable. These properties that make its strenght also render it unsuitable for representing multimodality. To address the issue, we define the selection Kalman model. It is based on a selection-Gaussian initial distribution and Gauss-linear dynamic and observation models. The selection-Gaussian distribution may represent multimodality, skewness and peakedness. It can be seen as a generalization of the Gaussian distribution. The proposed selection Kalman model is contained in the class of selection-Gaussian distributions and therefore analytically tractable. The recursive algorithm used for assessing the selection Kalman model is specified. We present a synthetic case study of spatio-temporal inversion of an initial state containing an extreme event. The study is inspired by pollution monitoring. The results suggest that the use of the selection Kalman model offers significant improvements compared to the traditional Kalman model when reconstructing discontinuous initial states. </p>


2020 ◽  
Vol 35 (2) ◽  
pp. 197-201
Author(s):  
Fırat Sefaoğlu

This research was carried out between the years of 2015-2016 in order todetermine the seed properties of some sunflower genotypes in Erzurum and Iğdır irrigated conditions. In this study seven type of (Coral, P4Ll62, Pactol, Lg5580, Tarsan, 08Tr003, Cadix) sunflower cultivars were used and grain length, width, thickness, dehulled seed (internal rate of grain) and shell ratio of the samples were examined. In this study significant were found the other features except seed width and thickness where some sunflower of grown in different location. In the designed location in Erzurum; grain length, width, thickness, dehulled seed were determined as 11.8–13.4 mm (Coral: P4Ll62), 5.8-6.2 mm (Coral: Lg5580 and Tarsan), 3.5-4.4 mm (Coral and Pactol: Cadix), 16.3-21.3 mm (Cadix: P4Ll62 and Tarsan 1018) and 56.3-76.3 mm (Tarsan and Cadix: P4Ll62). In the designated location in Iğdır, these values ranged between 11.5-14.2 mm (Coral: P4Ll62), 5.5-6.5 mm (Pactol: Tarsan 1018 and Cadix), 3.6-4.1 mm (Coral and Pactol: Cadix), 16.7-26.7mm (P4Ll62 and Pactol: Cadix) and 66.7-81.7 mm (Pactol: Cadix) respectively. According to these results, the designated location for this research in Iğdır come in to prominence in terms of the investigated properties.


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