scholarly journals Effects of the combination of second-generation antipsychotics on serum concentrations of aripiprazole and dehydroaripiprazole in Chinese patients with schizophrenia

2021 ◽  
Vol 34 (2) ◽  
pp. e100423
Author(s):  
Ping Jiang ◽  
Xiujia Sun ◽  
Juanjuan Ren ◽  
Hongmei Liu ◽  
Zhiguang Lin ◽  
...  
Keyword(s):  
Clinical Significance ◽  
High Performance ◽  
Second Generation ◽  
Statistical Significance ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Chinese Patients ◽  
Therapeutic Drug ◽  
Serum Concentrations ◽  
Second Generation Antipsychotics

BackgroundAripiprazole (ARI) is often prescribed alone or in combination with other second-generation antipsychotics (SGAs) to treat patients with schizophrenia. However, this may increase the potential clinical significance of drug–drug interactions. Therapeutic drug monitoring (TDM) is an important and fundamental tool both when administering ARI alone and in combination with other SGAs to monitor ARI pharmacokinetics, adjust the dosage and thereby achieve more effective and safer treatment.AimsThis study retrospectively investigated the effects of four SGA comedications (clozapine, risperidone, quetiapine (QTP) and olanzapine) and other potential factors (sex, age and ARI dose) on the serum concentrations of ARI and dehydroaripiprazole (DARI) in Chinese patients with schizophrenia using TDM data.MethodsHigh-performance liquid chromatography was used to test the serum concentrations of ARI, DARI and ARI+DARI. In addition, steady-state dose-adjusted serum concentrations (ie, concentration-to-dose ratios, C:D ratios) of ARI, DARI and ARI+DARI; sex; age; ARI dose and SGA comedication dose between 299 inpatients with schizophrenia who received ARI or SGA comedication were all collected and analysed. Spearman’s correlation and multiple linear regression analysis were used to evaluate bivariate associations between ARI dose and serum ARI and DARI concentrations and describe the effect of independent variables on serum ARI and DARI concentrations, respectively.ResultsThere were significant differences in the C:D ratios of ARI (χ2=−3.21, p=0.001) and ARI+DARI (χ2=−2.50, p=0.01) between the ARI and SGA groups, as well as in the C:D ratios of ARI (χ2=−3.59, p<0.001) and ARI+DARI (χ2=−3.10, p=0.002) between the female patients in the two groups. Of the four SGAs, only QTP had significant effects on the C:D ratios of ARI (Z=−4.12, p<0.001) and ARI+DARI (Z=−3.62, p<0.001) when compared with the ARI group in the whole sample and on the C:D ratios of ARI, DARI and ARI+DARI (Z=−3.96, p<0.001; Z=−2.22, p=0.03; Z=−3.75, p<0.001, respectively) in women when compared with their counterparts in the ARI group.ConclusionComedication with SGAs resulted in lower C:D ratios of ARI and ARI+DARI compared with ARI monotherapy, and comedication with QTP resulted in lower C:D ratios of ARI and ARI+DARI than ARI monotherapy. Despite this statistical significance of our findings, whether the presently observed effect has clinical significance requires exploration by further research. TDM and dosage regulation of ARI should be performed in Chinese inpatients with schizophrenia who are receiving SGA comedication (especially QTP) to maintain a safe and effective dose-adjusted serum concentration of ARI and DARI.

scholarly journals Structure-Hepatoprotective Activity Relationship Study of Iridoids

2020 ◽  
Vol 5 (3) ◽  
pp. 108-118
Author(s):  
Durbek Usmanov ◽  
Bakhtiyor Rasulev ◽  
Vladimir Syrov ◽  
Ugiloy Yusupova ◽  
Nurmurod Ramazonov
Keyword(s):  
High Performance ◽  
Statistical Significance ◽  
Linear Regression Analysis ◽  
Predictive Ability ◽  
Multiple Linear Regression Analysis ◽  
Hepatoprotective Activity ◽  
Activity Relationship ◽  
Quantum Chemical Descriptors ◽  
Qsar Analysis

Iridoids, the largest class of monoterpenoids, are widespread group of substances present in various plant organisms. This study is devoted to investigation of the hepatoprotective activity of a series of iridoid compounds with application of a quantitative structure-activity relationship (QSAR) analysis. The investigated activity was based on in vitro experimental data, where iridoids' effects on CCl4-induced hepatocytes' damage were obtained. The QSAR analysis was carried out using a combination of genetic algorithm for variable selection and multiple linear regression analysis. A set of calculated descriptors was used for modeling, including quantum-chemical descriptors. Several high-performance models were developed and the best model describing the hepatoprotective activity of iridoids is proposed. The model obtained in this study shows not only a statistical significance, but also excellent predictive ability. The obtained model can be used to estimate the hepatoprotective activity of new substituted iridoids.

scholarly journals Pengaruh Etos Kerja Terhadap Kinerja Karyawan PT. AE

2017 ◽  
Vol 3 (2) ◽  
pp. 150
Author(s):  
Andri Hadiansyah ◽  
Rini Purnamasari Yanwar
Keyword(s):  
High Performance ◽  
Work Ethic ◽  
Employee Performance ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Positive Influence ◽  
Vital Role ◽  
Theoretical Test ◽  
High Work ◽  
Synergistic Relationship

<p><em>Abstrak -<strong> </strong></em><strong>U</strong><strong>ntuk dapat mencapai hubungan yang sinergis, perusahaan harus dapat memperhatikan pola kinerja karyawannya.</strong><strong> </strong><strong>K</strong><strong>aryawan yang bermutu dan dapat menghasilkan kinerja yang tinggi adalah karyawan yang dibutuhkan oleh suatu organisasi. Peran yang sangat vital dalam mewujudkan prestasi kinerja seorang karyawan adalah dirinya sendiri. Bagaimana dia memiliki semangat dan etos kerja yang tinggi untuk dapat memberikan pengaruh positif pada lingkungannya. Karyawan yang memiliki pemikiran yang luhur mengenai pekerjaannya dapat bekerja dengan tulus. Suatu pandangan dan sikap terhadap kerja dikenal dengan istilah etos kerja. Penelitian ini bertujuan untuk melakukan uji teoritik mengenai pengaruh etos kerja terhadap kinerja karyawan PT. AE. Untuk menguji pengaruh variabel etos kerja terhadap kinerja karyawan digunakan analisis regresi linear berganda dengan menyebar 132 kuesioner pada karyawan PT. AE. Setelah dianalisis didapat hasil R square 0.724 dengan signifikansi</strong><strong> </strong><strong>(p&lt;0.05), yang berarti etos kerja memberikan pengaruh secara signifikan</strong><strong> </strong><strong>terhadap kinerja karyawan sebesar 72.4%.</strong><strong></strong></p><p><strong><em> </em></strong></p><p><strong><em>Kata Kunci</em></strong><em>: Etika Kerja, Performa Kerja </em></p><p> </p><p><em>Abstract - </em><strong>T</strong><strong>o be able to achieve a synergistic relationship, the company should be able to notice employee performance. Employees who are qualified and able to produce high performance is needed by the organization. A very vital role in realizing the achievement of the performance of an employee is himself. How does he have the spirit and high work ethic to be a positive influence on the environment. Employees who have lofty thoughts about the job can work sincerely. An outlook and attitude towards work is known as the work ethic. This study aims to perform a theoretical test on the effect of the work ethic on the performance of employees of PT. AE. To test the effect of variables on the</strong> <strong>performance of the employee's work ethic multiple linear regression analysis was used, by spread 132 questionnaires to employees of PT. AE. Having analyzed the results obtained R square 0.724 with 0.000 significance (p &lt;0.05), which means the work ethic significant influence on employee performance amounted to 72.4%. The dominant aspect of the work ethic that effect the performance is the view of work is trustworthy.</strong></p><p> </p><p><em><strong>Keywords:</strong> Work ethic, Employee performance</em></p>

Applying Back-Propagation Neural Network for Estimating the Slump of Concrete

2013 ◽  
Vol 651 ◽  
pp. 986-989
Author(s):  
Chin Ming Kao ◽  
Li Chen ◽  
Chang Huan Kou ◽  
Shih Wei Ma
Keyword(s):  
Neural Network ◽  
High Performance ◽  
High Performance Concrete ◽  
Linear Regression Analysis ◽  
Back Propagation ◽  
Nonlinear Function ◽  
Multiple Linear Regression Analysis ◽  
Back Propagation Neural Network ◽  
Fine Aggregate ◽  
Furnace Slag

This paper proposes the back-propagation neural network (BPN) and applies it to estimate the slump of high-performance concrete (HPC). It is known that HPC is a highly complex material whose behaviour is difficult to model, especially for slump. To estimate the slump, it is a nonlinear function of the content of all concrete ingredients, including cement, fly ash, blast furnace slag, water, superplasticizer, and coarse and fine aggregate. Therefore, slump estimation is set as a function of the content of these seven concrete ingredients and additional four important ratios. The results show that BPN obtains a more accurate mathematical equation through learning procedures which outperforms the traditional multiple linear regression analysis (RA), with lower estimating errors for predicting the HPC slump.

QSAR study of 2,4-disubstituted phenoxyacetic acid derivatives as a CRTh2 receptor antagonists

2009 ◽  
Vol 63 (4) ◽  
Author(s):  
Abhishek Jain ◽  
Veerasamy Ravichandran ◽  
Rajesh Singh ◽  
Vishnukanth Mourya ◽  
Ram Agrawal
Keyword(s):  
Receptor Antagonist ◽  
Correlation Coefficient ◽  
Statistical Significance ◽  
Linear Regression Analysis ◽  
External Validation ◽  
Qsar Model ◽  
Multiple Linear Regression Analysis ◽  
Phenoxyacetic Acid ◽  
Qsar Study ◽  
Qsar Studies

AbstractIn pursuit of better CRTh2 receptor antagonist agents, QSAR studies were performed on a series of 2,4-disubstituted phenoxyacetic acid derivatives. Stepwise multiple linear regression analysis was performed to derive QSAR models which were further evaluated for statistical significance and predictive power by internal and external validation. The best QSAR model was selected; having the correlation coefficient R = 0.904, standard error of estimation SEE = 0.456 and the cross validated squared correlation coefficient Q 2 = 0.739. Predictive ability of the selected model was also confirmed by the leave one out cross validation method and by leave 33 % out Q 2 = 0.688. The QSAR model indicates that the descriptors (logP, SI3, LM, and DVZ) play an important role in the CRTh2 receptor antagonist activities. Results of the present study may be useful in the designing of more potent 2,4-disubstituted phenoxyacetic acid derivatives as CRTh2 receptor antagonist agents.

Therapeutic Drug Levels of Second Generation Antipsychotics in Youth: A Systematic Review

2015 ◽  
Vol 25 (3) ◽  
pp. 234-245 ◽  
Author(s):  
Zachary Whitney ◽  
Heidi N. Boyda ◽  
Ric M. Procyshyn ◽  
Dean Elbe ◽  
Tyler Black ◽  
...  
Keyword(s):  
Systematic Review ◽  
Second Generation ◽  
Therapeutic Drug ◽  
Drug Levels ◽  
Second Generation Antipsychotics

scholarly journals A Study of the Effect of the Front-End Styling of Sport Utility Vehicles on Pedestrian Head Injuries

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Guanjun Zhang ◽  
Qin Qin ◽  
Zheng Chen ◽  
Zhonghao Bai ◽  
Libo Cao
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Statistical Significance ◽  
Head Injuries ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Design Stage ◽  
Regression Equations ◽  
Feature Parameters ◽  
Front End

Background. The number of sport utility vehicles (SUVs) on China market is continuously increasing. It is necessary to investigate the relationships between the front-end styling features of SUVs and head injuries at the styling design stage for improving the pedestrian protection performance and product development efficiency. Methods. Styling feature parameters were extracted from the SUV side contour line. And simplified finite element models were established based on the 78 SUV side contour lines. Pedestrian headform impact simulations were performed and validated. The head injury criterion of 15 ms (HIC15) at four wrap-around distances was obtained. A multiple linear regression analysis method was employed to describe the relationships between the styling feature parameters and the HIC15 at each impact point. Results. The relationship between the selected styling features and the HIC15 showed reasonable correlations, and the regression models and the selected independent variables showed statistical significance. Conclusions. The regression equations obtained by multiple linear regression can be used to assess the performance of SUV styling in protecting pedestrians’ heads and provide styling designers with technical guidance regarding their artistic creations.

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