Drug Synergism and Dose-Effect Data Analysis

Abstract: The assessment experience of the occupational health risk at the enterprises of mining and metallurgical complex of the Sverdlovsk region has revealed the presence of key challenges. They are related to an impartial evaluation of the predicted and realized risks. These include underestimation of factors of the working environment and process at the stage of identification, monitoring management and evaluation of results. Additionally, there is no data analysis on the health status of workers, including the estimated incidence of temporary incapacity for work. It is suggested to develop a unified preventive system (occupational health service) at the enterprises. It will be possible to form an appropriate database regarding the real situation of working conditions and the health of workers. This system will also establish cause-and-effect relationships and dose-effect dependencies of diseases. Additionally, it will be enforceable to identify the probability of occupational and industrial-related diseases at the group and individual levels.

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A real-world data analysis of dose effect of second-generation antipsychotic therapy on hemoglobin A1C level

Progress in Neuro-Psychopharmacology and Biological Psychiatry ◽

10.1016/j.pnpbp.2011.03.020 ◽

2011 ◽

Vol 35 (5) ◽

pp. 1326-1332 ◽

Cited By ~ 10

Author(s):

Zhenchao Guo ◽

Gilbert J. L'Italien ◽

Yonghua Jing ◽

Ross A. Baker ◽

Robert A. Forbes ◽

...

Keyword(s):

Data Analysis ◽

Real World ◽

Second Generation ◽

Hemoglobin A1c ◽

Dose Effect ◽

Real World Data ◽

Antipsychotic Therapy ◽

World Data ◽

Second Generation Antipsychotic

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A Simple Method for Fitting Curves to Dose-effect Data for Functional Damage

International Journal of Radiation Biology ◽

10.1080/09553009114552371 ◽

1991 ◽

Vol 60 (3) ◽

pp. 533-541 ◽

Cited By ~ 6

Author(s):

H. Johns ◽

M.C. Joiner

Keyword(s):

Dose Effect ◽

Simple Method ◽

Effect Data

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Pengaruh Penggunaan Media Sosial (Instagram) Terhadap Prestasi Akademik Mahasiswa

JURKAM Jurnal Konseling Andi Matappa ◽

10.31100/jurkam.v3i2.372 ◽

2019 ◽

Vol 3 (2) ◽

pp. 81

Author(s):

Joy Maranatha Tarigan ◽

Tritjahjo Danny Soesilo ◽

Sapto Irawan

Keyword(s):

Academic Achievement ◽

Social Media ◽

Academic Performance ◽

Data Analysis ◽

Path Analysis ◽

Significant Influence ◽

Analysis Method ◽

Effect Data ◽

Data Analysis Method ◽

Share Information

Social media has become one part of the society, social media users, especially students, make everyone communicate with each other and share information. This research aimed to identifying the influence of using social media (instagram) on academic achievement. The subjects of the study were the 2015 SWCU FKIP BK students. The data analysis method used was path analysis. Based on data analysis, the results obtained sig = 0.711> 0.05 so that it can be said that there is no significant effect. Data values t = 0.373 < 2.002 and the value of R Square is 0.002, according the results, the concluded that there is no significant influence between the using of social media (instagram) on academic performance because of the influence of 0.2% and 99.8% influenced by other factors not explained in this research.

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A Fitting Method of Dose-Effect Data of Traditional Chinese Medicine Fusing Softmax Regression and an Improved PSO Algorithm

Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering ◽

10.1145/3443467.3443879 ◽

2020 ◽

Author(s):

Mingfeng Zhu ◽

Yan He ◽

Jianqiang Du ◽

Bin Nie ◽

Qing Ye ◽

...

Keyword(s):

Chinese Medicine ◽

Traditional Chinese Medicine ◽

Pso Algorithm ◽

Dose Effect ◽

Effect Data ◽

Softmax Regression ◽

Fitting Method ◽

Improved Pso

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Novel Methods for the Estimation of Acceptable Daily Intake

Toxicology and Industrial Health ◽

10.1177/074823378500100404 ◽

1985 ◽

Vol 1 (4) ◽

pp. 23-41 ◽

Cited By ~ 44

Author(s):

Michael L. Dourson ◽

Richard C. Hertzberg ◽

Rolf Hartung ◽

Karen Blackburn

Keyword(s):

Dose Rate ◽

Dose Response ◽

Daily Intake ◽

Dose Effect ◽

Toxicity Data ◽

Acceptable Daily Intake ◽

Toxicant Exposure ◽

Effect Data ◽

Entire Spectrum ◽

Graphic Presentation

This paper describes two general methods for estimating ADIs that circumvent some of the limitations inherent in current approaches. The first method is based on a graphic presentation of toxicity data and is also shown to be useful for estimating acceptable intakes for durations of toxicant exposure other than the entire lifetime. The second method uses dose-response or dose-effect data to calculate lower CLs on the dose rate associated with specified response or effect levels. These approaches should lead to firmer, better established ADIs through increased use of the entire spectrum of toxicity data.

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