scholarly journals Estimation of Daily Stock Amount of Chemical Substances in Factories and Workplaces Below-threshold-condition of PRTR in Municipalities Nationwide

2021 ◽  
Vol 31 (0) ◽  
pp. 120-126
Author(s):  
Satoshi NAKAMURA ◽  
Satoshi MIZUTANI ◽  
Kohei YAMAZAKI ◽  
Kazushi NORO ◽  
Yoshinori YABUKI
Keyword(s):  
Threshold Condition ◽  
Chemical Substances

Evaluation of anti-pyretic activity of Dracaena sanderiana by Brewer’s yeast method

2020 ◽  
Vol 9 (2) ◽  
pp. 32-34
Author(s):  
Pavani C H
Keyword(s):  
Herbal Remedies ◽  
Standard Drug ◽  
Chemical Substances ◽  
Beneficial Effects ◽  
Potential Value ◽  
Plant Effects ◽  
Therapeutic Properties ◽  
Dracaena Sanderiana ◽  
Anti Inflammatory ◽  
Inflammatory Action

These medicinal plants are used to develop a therapy for the disease. To improve the science, investigate the scientific proof and activities validation, therefore the use of various herbal remedies for their pain-relieving and anti-inflammatory action in these current days. includes influence, anti-inflammatory, anti effect, analgesia, effects and some beneficial effects on the GI system. show the potential value of pain relief, cancer prevention and weight loss. According to these plant effects, consider that this present study was mainly based on to investigate and likely to reduce the fever caused by the outdoor and indoor. potential of is evidenced in leave studies. The medicinal plant produces a variety of chemical substances which shows significant therapeutic properties with the standard drug paracetamol.

A study on the variation of chemical substances in flue-cured tobaccos with different oil proportions

2014 ◽  
Vol 39 (5) ◽  
pp. 453-457
Author(s):  
Ke-su WEI ◽  
Yong-gao TU ◽  
Ze-min SONG ◽  
Wei-chang GAO ◽  
Yi CHEN
Keyword(s):  
Chemical Substances

scholarly journals Exosome-derived noncoding RNAs in gastric cancer: functions and clinical applications

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Xiao-Huan Tang ◽  
Ting Guo ◽  
Xiang-Yu Gao ◽  
Xiao-Long Wu ◽  
Xiao-Fang Xing ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Noncoding Rnas ◽  
Tumour Microenvironment ◽  
Clinical Applications ◽  
Biological Molecules ◽  
Biological Functions ◽  
Membrane Structures ◽  
Chemical Substances ◽  
Expression Levels ◽  
The Stability

AbstractExosomes are a subpopulation of the tumour microenvironment (TME) that transmit various biological molecules to promote intercellular communication. Exosomes are derived from nearly all types of cells and exist in all body fluids. Noncoding RNAs (ncRNAs) are among the most abundant contents in exosomes, and some ncRNAs with biological functions are specifically packaged into exosomes. Recent studies have revealed that exosome-derived ncRNAs play crucial roles in the tumorigenesis, progression and drug resistance of gastric cancer (GC). In addition, regulating the expression levels of exosomal ncRNAs can promote or suppress GC progression. Moreover, the membrane structures of exosomes protect ncRNAs from degradation by enzymes and other chemical substances, significantly increasing the stability of exosomal ncRNAs. Specific hallmarks within exosomes that can be used for exosome identification, and specific contents can be used to determine their origin. Therefore, exosomal ncRNAs are suitable for use as diagnostic and prognostic biomarkers or therapeutic targets. Regulating the biogenesis of exosomes and the expression levels of exosomal ncRNAs may represent a new way to block or eradicate GC. In this review, we summarized the origins and characteristics of exosomes and analysed the association between exosomal ncRNAs and GC development.

scholarly journals Linearization threshold condition and stability analysis of a stochastic dynamic model of one-machine infinite-bus (OMIB) power systems

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Lijuan Li ◽  
Yongdong Chen ◽  
Bin Zhou ◽  
Hongliang Liu ◽  
Yongfei Liu
Keyword(s):  
Power Systems ◽  
Power System ◽  
Dynamic Model ◽  
Threshold Model ◽  
Security Evaluation ◽  
Stochastic Dynamic ◽  
Threshold Condition ◽  
Stochastic Excitation ◽  
Predictor Corrector ◽  
One Machine

AbstractWith the increase in the proportion of multiple renewable energy sources, power electronics equipment and new loads, power systems are gradually evolving towards the integration of multi-energy, multi-network and multi-subject affected by more stochastic excitation with greater intensity. There is a problem of establishing an effective stochastic dynamic model and algorithm under different stochastic excitation intensities. A Milstein-Euler predictor-corrector method for a nonlinear and linearized stochastic dynamic model of a power system is constructed to numerically discretize the models. The optimal threshold model of stochastic excitation intensity for linearizing the nonlinear stochastic dynamic model is proposed to obtain the corresponding linearization threshold condition. The simulation results of one-machine infinite-bus (OMIB) systems show the correctness and rationality of the predictor-corrector method and the linearization threshold condition for the power system stochastic dynamic model. This study provides a reference for stochastic modelling and efficient simulation of power systems with multiple stochastic excitations and has important application value for stability judgment and security evaluation.

scholarly journals Investigation of the Effects of Exposure to Chemical Substances on Child Health

2019 ◽  
Vol 74 (0) ◽  
pp. n/a ◽  
Author(s):  
Miyuki IWAI-SHIMADA ◽  
Shoji F. NAKAYAMA ◽  
Tomohiko ISOBE ◽  
Yayoi KOBAYASHI ◽  
Go SUZUKI ◽  
...  
Keyword(s):  
Child Health ◽  
Chemical Substances
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