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Symmetry ◽  
2022 ◽  
Vol 14 (1) ◽  
pp. 169
Author(s):  
Vyacheslav Klyukhin ◽  
Austin Ball ◽  
Felix Bergsma ◽  
Henk Boterenbrood ◽  
Benoit Curé ◽  
...  

This review article describes the performance of the magnetic field measuring and monitoring systems for the Compact Muon Solenoid (CMS) detector. To cross-check the magnetic flux distribution obtained with the CMS magnet model, four systems for measuring the magnetic flux density in the detector volume were used. The magnetic induction inside the 6 m diameter superconducting solenoid was measured and is currently monitored by four nuclear magnetic resonance (NMR) probes installed using special tubes at a radius of 2.9148 m outside the barrel hadron calorimeter at ±0.006 m from the coil median XY-plane. Two more NRM probes were installed at the faces of the tracking system at Z-coordinates of −2.835 and +2.831 m and a radius of 0.651 m from the solenoid axis. The field inside the superconducting solenoid was precisely measured in 2006 in a cylindrical volume of 3.448 m in diameter and 7 m in length using ten three-dimensional (3D) B-sensors based on the Hall effect (Hall probes). These B-sensors were installed on each of the two propeller arms of an automated field-mapping machine. In addition to these measurement systems, a system for monitoring the magnetic field during the CMS detector operation has been developed. Inside the solenoid in the horizontal plane, four 3D B-sensors were installed at the faces of the tracking detector at distances X = ±0.959 m and Z-coordinates of −2.899 and +2.895 m. Twelve 3D B-sensors were installed on the surfaces of the flux-return yoke nose disks. Seventy 3D B-sensors were installed in the air gaps of the CMS magnet yoke in 11 XY-planes of the azimuthal sector at 270°. A specially developed flux loop technique was used for the most complex measurements of the magnetic flux density inside the steel blocks of the CMS magnet yoke. The flux loops are installed in 22 sections of the flux-return yoke blocks in grooves of 30 mm wide and 12–13 mm deep and consist of 7–10 turns of 45 wire flat ribbon cable. The areas enclosed by these coils varied from 0.3 to 1.59 m2 in the blocks of the barrel wheels and from 0.5 to 1.12 m2 in the blocks of the yoke endcap disks. The development of these systems and the results of the magnetic flux density measurements across the CMS magnet are presented and discussed in this review article.


Diversity ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 644
Author(s):  
Nattaporn Plangklang ◽  
Sujeephon Athibai

Herbicide usage in rice fields over time may have a direct and indirect influence on the biodiversity of the fields. The impacts of herbicide usage on non-target organisms were assessed by examining the species richness and zooplankton density of two rice fields. One was 2.08 hectares in size and had been treated with pesticides during the sampling year (RF-PA). The second field, measuring 1.76 hectares, had received no pesticide treatment (RF-NPA). Every two weeks, zooplankton was quantitatively collected from ten sampling sites in each field. At each station, 20 L of measured water was filtered through a plankton net with a mesh size of 20 µm and preserved in 1% Lugol’s solution. The results revealed that RF-NPA and RF-PA had 112 and 88 species of zooplankton, respectively, with an abundance-based Jaccard index (Jabd) of 0.438. The total zooplankton density in RF-NPA was 24.4 ind./L, significantly higher than the 16.6 ind./L in RF-PA (p < 0.001). The Shannon-Wiener diversity index (H’) and evenness (J) were highest in RF-NPA at the second sampling (3.45 and 0.75, respectively). These results indicate that glyphosate application affects the diversity of species and density of zooplankton in rice fields.


Genes ◽  
2021 ◽  
Vol 12 (11) ◽  
pp. 1832
Author(s):  
Abdelaziz Ghanemi ◽  
Mayumi Yoshioka ◽  
Jonny St-Amand

The numerous exercise benefits for health as well as applications for diseases has lead to exercise being prescribed in many pathological conditions. Secreted protein acidic and rich in cysteine (SPARC) gene expression is stimulated by exercise and SPARC has been suggested as a molecular mediator of exercise. Therefore, we suggest using this property for personalized medicine. This can be achieved by prescribing the exercise with a pattern (duration, intensity, etc.) that corresponds to the optimum SPARC/Sparc expression. We expect this approach to optimize the exercise therapy in both the preventive and curative contexts. In the research field, measuring exercise -dependent expression of Sparc would represent a molecular tool to further optimize the selection of exercise animal models as well.


Author(s):  
Priya Mondal ◽  
Siddharthasankar Banerjee ◽  
Nirmal Chandra Sukul ◽  
Raj Kumar Singh ◽  
Indrani Chakraborty ◽  
...  

Application of synthetic fertilizers reduces natural fertility of soil and contaminates ground water. Some photosynthesis inhibitors at ultra-high dilution (UHD) increase photosynthesis, growth and yield of crops. A weedicide Paraquat at UHD enhanced growth and yield of potatoes in fields. This weedicide was serially diluted with distilled water and manually succussed in 30 steps following the method of preparation of homeopathic dilutions called potencies. In this way the 30th potency of Paraquat called Paraquat 30cH was prepared and preserved in 90 % ethanol. Paraquat 30cH was diluted with water 1:1000 (v/v) and sprayed on rice plants in a field measuring 0.3125 acre. The control plot of the same area was situated 300 meters away from the test plot. Three treatments were given at an interval of 7 days. Treated plot showed increased growth, chlorophyll content and yield of rice significantly as compared to control. The UHD of the weedicide produced exactly the opposite effect of the crude material on plants. The increased growth and yield of rice by Paraquat 30cH may be due to enhancement of photosynthesis of treated plants. The UHD of Paraquat increased yield of rice by 19.35% over the control.


Author(s):  
Omodele Olubi ◽  
Ebeneze Oniya ◽  
Taoreed Owolabi

This work develops predictive models for estimating radon (222Rn) activity concentration in the atmosphere using novel grid search based random forest regression (GS-RFR) and stepwise regression (SWR). The developed models employ meteorological parameters which include the temperature, pressure, relative and absolute humidity, wind speed and wind direction as descriptors.  Experimental data of radon concentration and meteorological parameters from two observatories of the Korea Polar Research Institute in Antarctica (King Sejong and Jang Bogo) have been employed in this work.  The performance of the developed models was assessed using three different performance measuring parameters. On the basis of root mean square error (RMSE), the GS-RFR shows better performance over the SWR. An improvement of 64.09 % and 15.19 % was obtained on the training and test datasets, respectively at King Sejong station. At the Jang Bogo station, an improvement of 75.04 % and 28.04 % was obtained on the training and test datasets, respectively. The precision and robustness of the developed models would be of significant interest in determining the concentration of radon (222Rn) activity concentration in the atmosphere for various physical applications especially in regions where field measuring equipment for radon is not available or measurements have been interrupted.


2021 ◽  
pp. 19-24
Author(s):  
V. Matyukha

Goal. To establish the biological effectiveness of herbicides and their tank mixtures for the protection of winter wheat crops from weeds in the Steppe of Ukraine. Methods. General scientific, the main of which were: field; measuring and weighing; variance and correlation. The Institute of Grain Crops (IGC) of NAAS of Ukraine studied the biological effectiveness of herbicides against the background of non–steam precursors (stubble, oats, sunflower), the experimental scheme included 17 options for the use of drugs and their tank mixtures. Results. It is proved that the complete and 100% control of weeds is provided by the tank mixture of herbicide Dialin super — 0.8 l/ ha in combination with the growth regulator Gulliver stimulus — 500 ml/ ha, 21.1 pieces/ m² of weeds are destroyed here, with of which 16.8 pieces/ m² were root–sprout perennials (field birch (Convolvulus arvensis L.), pink field thistle (Cirsium arvense L.), Tatar milkweed (Lactuca tatarica L.)). The maximum grain yields were provided by the plots where the tank mixture of dialen super — 0.8 l/ ha + PPP Gulliver stimulus — 1.0 l/ ha — 6.4 t/ ha was applied; Dialin super — 0.8 l/ ha + PPP Gulliver stimulus — 1.5 l/ ha — 6.1 t/ ha and Dialin super — 0.8 l/ ha + PPP Peram — 200 ml/ ha — 6.0 t/ ha, this can be explained mainly by the low level of weediness of the field after treatment with drugs, namely the low biomass of weeds 1.0—3.1 g/ m² while in the control and application of growth regulators they were significantly greater and were 59.6 and 20.7 g/ m², respectively. Conclusions. Complete and 100% control of weeds provides a tank mixture of herbicide Dialin super — 0.8 l/ ha in combination with the growth regulator Gulliver stimulus — 1.0 l/ ha resulting in a maximum wheat yield — 6.4 t/ ha and quality indicators grains.


2021 ◽  
Vol 12 (1) ◽  
pp. 129-135
Author(s):  
A. Golodna ◽  
◽  
T. Baidiuk ◽  

The aim of the study was to establish the strength and direction of the correlations between the quantitative traits that form vegetative and seed productivity of white lupine. Field, measuring-weight and mathematical-statistical research methods were used. A significant positive correlation of the average strength between seed productivity and such traits as plant height, number of lateral racemes, number of beans from the central and lateral racemes, etc. was established. A strong positive correlation was found with the vegetative development of plants, weak - with the number of seeds in one bean and the weight of 1000 seeds. A significant positive strong correlation of vegetative productivity with such quantitative features as the mass of beans from the central racemes and the mass of leaves and stems was established. A positive correlation of medium strength was found with the number of beans from the central and lateral racemes, the mass of beans from the side racemes, the mass of roots and so on. It was found that the seed productivity of white lupine plants is mainly due to the development of such traits as the number of beans from the lateral racemes, the weight of leaves and roots, the number of seeds and the weight of seeds from the central and lateral racemes. The formation of vegetative productivity primarily depends on the mass of beans from the central racemes and the mass of leaves and stems. The use of established patterns of productivity will help increase the effectiveness of selection of breeding material for the specified parameters.


2020 ◽  
Vol 37 ◽  
pp. 161-171
Author(s):  
Wei-Cheng Chen ◽  
Keh-Chin Chang

Abstract Particle image velocimetry (PIV) is an instantaneous whole-field measuring diagnostic that makes it feasible to measure the microscale spatial information of the interphase dynamics for good understanding of two-phase flow. However, application of PIV to the two-phase flow measurement is still a state of the art so far. A double-discriminating process in terms of gray level and size of image patterns together with the median mask technique is developed. The test flow is a turbulent air wake laden with a binary group of particles with the mean size of 2.7 μm (representing the carrier phase) and 55 μm (representing the dispersed phase). It is demonstrated that the velocity measurements of both phases can be successfully performed through the combined PIV/PTV (particle tracking velocimetry) scheme associated with the developed phase discrimination method. It is noted that the discriminating capability of the size ratio between the large- and small-particle groups in the study is around 20 together with the mean size of O(100 μm) for small particles, which is the commonly required size for the seedings used in the PIV measurements of airflows, as compared to the size of O(101  μm) adopted in the current two-phase PIV measurement methods.


Author(s):  
Yi Liu ◽  
Xiwang Lan ◽  
Bo Hu

To demonstrate the feasibility of the passive magnetic NDT method for damage assessment of 304 austenitic stainless steel, the residual magnetic field change of the 304 stainless steel specimens under fatigue loads was investigated. The measurement was carried out using a fluxgate sensor and the magnetic characteristics were extracted for analysis of fatigue state. Then, the XRD test was carried out to investigate the mechanism of magnetic field changes and verify the reliability of the proposed method. The results show that the variation of the maximum gradient is consistent with the process of fatigue crack growth, which indicates that the fatigue damage can be estimated by residual magnetic field measuring. In future stage, how to distinguish the magnetic field changes derived from martensite transformation or stress magnetization effect will be investigated.


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