Oxygen as a control factor in embryogenesis of legume seeds.

2009 ◽  
pp. 93-99 ◽  
Author(s):  
H. Rolletschek ◽  
L. Borisjuk ◽  
U. Wobus ◽  
H. Weber
Keyword(s):  
Control Factor ◽  
Legume Seeds

SVM-based global vision system of sports competition and action recognition

2020 ◽  
pp. 1-12
Author(s):  
Changxin Sun ◽  
Di Ma
Keyword(s):  
Target Recognition ◽  
Vision System ◽  
Task Assignment ◽  
Recognition Algorithm ◽  
Control Factor ◽  
Training Time ◽  
Adaboost Algorithm ◽  
Advantages And Disadvantages ◽  
Time Control ◽  
Correlation Degree

In the research of intelligent sports vision systems, the stability and accuracy of vision system target recognition, the reasonable effectiveness of task assignment, and the advantages and disadvantages of path planning are the key factors for the vision system to successfully perform tasks. Aiming at the problem of target recognition errors caused by uneven brightness and mutations in sports competition, a dynamic template mechanism is proposed. In the target recognition algorithm, the correlation degree of data feature changes is fully considered, and the time control factor is introduced when using SVM for classification,At the same time, this study uses an unsupervised clustering method to design a classification strategy to achieve rapid target discrimination when the environmental brightness changes, which improves the accuracy of recognition. In addition, the Adaboost algorithm is selected as the machine learning method, and the algorithm is optimized from the aspects of fast feature selection and double threshold decision, which effectively improves the training time of the classifier. Finally, for complex human poses and partially occluded human targets, this paper proposes to express the entire human body through multiple parts. The experimental results show that this method can be used to detect sports players with multiple poses and partial occlusions in complex backgrounds and provides an effective technical means for detecting sports competition action characteristics in complex backgrounds.

scholarly journals Effects of Parameterized Diffusion on Simulated Hurricanes

2012 ◽  
Vol 69 (7) ◽  
pp. 2284-2299 ◽  
Author(s):  
Richard Rotunno ◽  
George H. Bryan
Keyword(s):  
Boundary Layer ◽  
Numerical Simulations ◽  
Dominant Role ◽  
Control Factor ◽  
Vertical Diffusion ◽  
Maximum Wind ◽  
Gradient Wind ◽  
Horizontal Diffusion ◽  
Budget Analysis ◽  
Parameterized Model

Abstract In this study the authors analyze and interpret the effects of parameterized diffusion on the nearly steady axisymmetric numerical simulations of hurricanes presented in a recent study. In that study it was concluded that horizontal diffusion was the most important control factor for the maximum simulated hurricane intensity. Through budget analysis it is shown here that horizontal diffusion is a major contributor to the angular momentum budget in the boundary layer of the numerically simulated storms. Moreover, a new scale analysis recognizing the anisotropic nature of the parameterized model diffusion shows why the horizontal diffusion plays such a dominant role. A simple analytical model is developed that captures the essence of the effect. The role of vertical diffusion in the boundary layer in the aforementioned numerical simulations is more closely examined here. It is shown that the boundary layer in these simulations is consistent with known analytical solutions in that boundary layer depth increases and the amount of “overshoot” (maximum wind in excess of the gradient wind) decreases with increasing vertical diffusion. However, the maximum wind itself depends mainly on horizontal diffusion and is relatively insensitive to vertical diffusion; the overshoot variation with vertical viscosity mainly comes from changes in the gradient wind with vertical viscosity. The present considerations of parameterized diffusion allow a new contribution to the dialog in the literature on the meaning and interpretation of the Emanuel potential intensity theory.

scholarly journals Nuclear Magnetic Resonance Metabolomics Approach for the Analysis of Major Legume Sprouts Coupled to Chemometrics

Molecules ◽  
2021 ◽  
Vol 26 (3) ◽  
pp. 761
Author(s):  
Mohamed A. Farag ◽  
Mohamed G. Sharaf El-Din ◽  
Mohamed A. Selim ◽  
Asmaa I. Owis ◽  
Sameh F. Abouzid ◽  
...  
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Multivariate Data Analysis ◽  
Potential Role ◽  
Full Range ◽  
Legume Seeds ◽  
Region Data ◽  
Chemotaxonomic Markers ◽  
Seeds Germination ◽  
Nuclear Magnetic

Legume sprouts are a fresh nutritive source of phytochemicals of increasing attention worldwide owing to their many health benefits. Nuclear magnetic resonance (NMR) was utilized for the metabolite fingerprinting of 4 major legume sprouts, belonging to family Fabaceae, to be exploited for quality control purposes. Thirty-two metabolites were identified belonging to different classes, i.e., fatty acids, sugars, amino acids, nucleobases, organic acids, sterols, alkaloids, and isoflavonoids. Quantitative NMR was employed for assessing the major identified metabolite levels and multivariate data analysis was utilized to assess metabolome heterogeneity among sprout samples. Isoflavones were detected exclusively in Cicer sprouts, whereas Trigonella was characterized by 4-hydroxyisoleucine. Vicia sprouts were distinguished from other legume sprouts by the presence of L-Dopa versus acetate abundance in Lens. A common alkaloid in all sprouts was trigonelline, detected at 8–25 µg/mg, suggesting its potential role in legume seeds’ germination. Trigonelline was found at highest levels in Trigonella sprouts. The aromatic NMR region data (δ 11.0–5.0 ppm) provided a better classification power than the full range (δ 11.0–0.0 ppm) as sprout variations mostly originated from secondary metabolites, which can serve as chemotaxonomic markers.

scholarly journals The Exon Junction Complex Core Represses Cancer-Specific Mature mRNA Re-Splicing: A Potential Key Role in Terminating Splicing

2021 ◽  
Vol 22 (12) ◽  
pp. 6519
Author(s):  
Yuta Otani ◽  
Ken-ichi Fujita ◽  
Toshiki Kameyama ◽  
Akila Mayeda
Keyword(s):  
Cancer Cells ◽  
Control Factor ◽  
Exon Junction Complex ◽  
Core Component ◽  
Normal Cells ◽  
Knock Down ◽  
Exon Junction ◽  
Mature Mrna ◽  
Complex Core ◽  
Specific Mrna

Using TSG101 pre-mRNA, we previously discovered cancer-specific re-splicing of mature mRNA that generates aberrant transcripts/proteins. The fact that mRNA is aberrantly re-spliced in various cancer cells implies there must be an important mechanism to prevent deleterious re-splicing on the spliced mRNA in normal cells. We thus postulated that mRNA re-splicing is controlled by specific repressors, and we searched for repressor candidates by siRNA-based screening for mRNA re-splicing activity. We found that knock-down of EIF4A3, which is a core component of the exon junction complex (EJC), significantly promoted mRNA re-splicing. Remarkably, we could recapitulate cancer-specific mRNA re-splicing in normal cells by knock-down of any of the core EJC proteins, EIF4A3, MAGOH, or RBM8A (Y14), implicating the EJC core as the repressor of mRNA re-splicing often observed in cancer cells. We propose that the EJC core is a critical mRNA quality control factor to prevent over-splicing of mature mRNA.

scholarly journals Effects of Non-Thermal Plasma Treatment on Seed Germination and Early Growth of Leguminous Plants—A Review

Plants ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 1616
Author(s):  
Božena Šerá ◽  
Vladimír Scholtz ◽  
Jana Jirešová ◽  
Josef Khun ◽  
Jaroslav Julák ◽  
...  
Keyword(s):  
Seed Germination ◽  
Plant Species ◽  
Thermal Plasma ◽  
Microbial Inactivation ◽  
Growth Stages ◽  
Agricultural Crop ◽  
Initial Growth ◽  
Total Production ◽  
Legume Seeds ◽  
Non Thermal Plasma

The legumes (Fabaceae family) are the second most important agricultural crop, both in terms of harvested area and total production. They are an important source of vegetable proteins and oils for human consumption. Non-thermal plasma (NTP) treatment is a new and effective method in surface microbial inactivation and seed stimulation useable in the agricultural and food industries. This review summarizes current information about characteristics of legume seeds and adult plants after NTP treatment in relation to the seed germination and seedling initial growth, surface microbial decontamination, seed wettability and metabolic activity in different plant growth stages. The information about 19 plant species in relation to the NTP treatment is summarized. Some important plant species as soybean (Glycine max), bean (Phaseolus vulgaris), mung bean (Vigna radiata), black gram (V. mungo), pea (Pisum sativum), lentil (Lens culinaris), peanut (Arachis hypogaea), alfalfa (Medicago sativa), and chickpea (Cicer aruetinum) are discussed. Likevise, some less common plant species i.g. blue lupine (Lupinus angustifolius), Egyptian clover (Trifolium alexandrinum), fenugreek (Trigonella foenum-graecum), and mimosa (Mimosa pudica, M. caesalpiniafolia) are mentioned too. Possible promising trends in the use of plasma as a seed pre-packaging technique, a reduction in phytotoxic diseases transmitted by seeds and the effect on reducing dormancy of hard seeds are also pointed out.

scholarly journals Joint UAV channel modeling and power control for 5G IoT networks

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Xiuhua Fu ◽  
Tian Ding ◽  
Rongqun Peng ◽  
Cong Liu ◽  
Mohamed Cheriet
Keyword(s):  
Energy Efficiency ◽  
Power Control ◽  
Channel Model ◽  
Path Loss ◽  
Channel Modeling ◽  
Signal Propagation ◽  
Spectrum Efficiency ◽  
Propagation Path ◽  
Control Factor ◽  
The Impact

AbstractThis paper studies the communication problem between UAVs and cellular base stations in a 5G IoT scenario where multiple UAVs work together. We are dedicated to the uplink channel modeling and the performance analysis of the uplink transmission. In the channel model, we consider the impact of 3D distance and multi-UAVs reflection on wireless signal propagation. The 3D distance is used to calculate the path loss, which can better reflect the actual path loss. The power control factor is used to adjust the UAV's uplink transmit power to compensate for different propagation path losses, so as to achieve precise power control. This paper proposes a binary exponential power control algorithm suitable for 5G networked UAV transmitters and presents the entire power control process including the open-loop phase and the closed-loop phase. The effects of power control factors on coverage probability, spectrum efficiency and energy efficiency under different 3D distances are simulated and analyzed. The results show that the optimal power control factor can be found from the point of view of energy efficiency.

scholarly journals Roles of cell division control factor SdiA: recognition of quorum sensing signals and modulation of transcription regulation targets

2014 ◽  
Vol 19 (5) ◽  
pp. 405-418 ◽  
Author(s):  
Tomohiro Shimada ◽  
Kaori Shimada ◽  
Makoto Matsui ◽  
Yuichi Kitai ◽  
Jun Igarashi ◽  
...  
Keyword(s):  
Cell Division ◽  
Quorum Sensing ◽  
Transcription Regulation ◽  
Control Factor ◽  
Quorum Sensing Signals ◽  
Cell Division Control

Apply Image Registration to the Wear Measurement and Analysis of Different PVD-Coating Drills

2007 ◽  
Vol 359-360 ◽  
pp. 489-493
Author(s):  
Yih Chih Chiou ◽  
Yu Teng Liang
Keyword(s):  
Image Registration ◽  
Cutting Tools ◽  
Cutting Parameters ◽  
Control Factor ◽  
Drilling Force ◽  
Dry Cutting ◽  
Wear And Corrosion ◽  
Measurement And Analysis ◽  
Wear And Corrosion Resistance ◽  
Hot Hardness

PVD (Physical Vapour Deposition) multilayer coatings were extensively used in cutting tools because of their relatively high wear and corrosion resistance, adhesion strength, hot hardness, and low coefficient of friction. The object of this study is to measure flank wear of dry cutting drills of different PVD coatings, including TiN, TiCN, and TiAlN by using drilling force experiments and machine vision technique incorporated with image registration technique. To obtain an optimal combination of cutting parameters quickly, we applied Taguchi method to plan the drilling experiment. The experimental results show that coating layer is the most important control factor for cutting and the TiAlN-coating drills generate least wear and thus has the longest tool life.

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