Quantitative structure−pharmacokinetic parameters relationships (QSPKR) analysis of antimicrobial agents in humans using simulated annealing k‐nearest‐neighbor and partial least‐square analysis methods**This paper was presented in part at the Annual Meeting of the American Association of Pharmaceutical Scientists in Toronto in 2003.

2004 ◽  
Vol 93 (10) ◽  
pp. 2535-2544 ◽  
Author(s):  
Chee Ng ◽  
Yunde Xiao ◽  
Wendy Putnam ◽  
Bert Lum ◽  
Alexander Tropsha
Keyword(s):  
Simulated Annealing ◽  
Antimicrobial Agents ◽  
Nearest Neighbor ◽  
American Association ◽  
Partial Least Square ◽  
Least Square ◽  
Pharmacokinetic Parameters ◽  
Quantitative Structure ◽  
K Nearest Neighbor ◽  
Partial Least Square Analysis

scholarly journals Comparison of Approaches to Photometric Redshift Estimation of Quasars

2015 ◽  
Vol 11 (S319) ◽  
pp. 146-146
Author(s):  
Yang Tu ◽  
Yan-Xia Zhang ◽  
Yong-Heng Zhao ◽  
Hai-Jun Tian
Keyword(s):  
Gradient Descent ◽  
Nearest Neighbor ◽  
Partial Least Square ◽  
Least Square ◽  
Partial Least Square Regression ◽  
Stochastic Gradient Descent ◽  
K Nearest Neighbor ◽  
Photometric Redshift ◽  
K Nearest Neighbor Algorithm ◽  
Selection Operator

AbstractWe probe many kinds of approaches used for photometric redshift estimation of quasars, including KNN (K-nearest neighbor algorithm), Lasso (Least Absolute Shrinkage and Selection Operator), PLS (Partial Least Square regression), ridge regression, SGD (Stochastic Gradient Descent) and Extra-Trees.

Partial least square and k-nearest neighbor algorithms for improved 3D quantitative spectral data-activity relationship consensus modeling of acute toxicity

2014 ◽  
Vol 33 (6) ◽  
pp. 1271-1282 ◽  
Author(s):  
Iva B. Stoyanova-Slavova ◽  
Svetoslav H. Slavov ◽  
Bruce Pearce ◽  
Dan A. Buzatu ◽  
Richard D. Beger ◽  
...  
Keyword(s):  
Acute Toxicity ◽  
Spectral Data ◽  
Nearest Neighbor ◽  
Partial Least Square ◽  
Least Square ◽  
Activity Relationship ◽  
K Nearest Neighbor ◽  
Consensus Modeling

DEVELOPMENT OF A ROBUST QSAR MODEL OF ANGIOTENSIN RECEPTOR REVEALS A K NEAREST NEIGHBOR APPLICABLE TO DIVERSE SCAFFOLDS

INDIAN DRUGS ◽  
2017 ◽  
Vol 54 (06) ◽  
pp. 30-36
Author(s):  
M. C Sharma ◽  
◽  
D. V. Kohli
Keyword(s):  
Biological Activity ◽  
Nearest Neighbor ◽  
3D Qsar ◽  
Qsar Model ◽  
Partial Least Square ◽  
Least Square ◽  
Positive Contribution ◽  
K Nearest Neighbor ◽  
Qsar Studies ◽  
2D Qsar

Quantitative structure–activity relationship (QSAR) studies were performed on quinazolinone analogues for prediction of antihypertensive activity. The best significant 2D-QSAR model having r2 = 0.8118 and pred_r2 = 0.7428 was developed by stepwise-partial least square method. k-nearest neighbor molecular field analysis was used to construct the best 3D-QSAR model, showing good correlative and predictive capabilities in terms of q2 = 0.7388 and pred_r2 = 0.6983. Results reveal that the 2D-QSAR studies signify positive contribution of SssOE index and SsCH3 count towards the biological activity. The results have showed that electronegative groups are necessary for activity and halogen, bulky, less bulky groups in quinazolinones nucleus enhanced the biological activity. The information rendered by 2D- and 3D-QSAR models may lead to a better understanding of structural requirements of substituted quinazolinones derivatives and also aid in designing novel potent antihypertensive molecules.

scholarly journals The Effect Of Milenial Generation Characteristics Of Job Satisfaction Relations And Employee Engagement

2020 ◽  
Vol 1 (4) ◽  
pp. 239-248
Author(s):  
Alfatih Sikki Manggabarani ◽  
Faisal Marzuki ◽  
Mahendro
Keyword(s):  
Employee Engagement ◽  
Random Sampling ◽  
Employee Satisfaction ◽  
Sampling Methods ◽  
Simple Random Sampling ◽  
Partial Least Square ◽  
Least Square ◽  
Analysis Method ◽  
Partial Least Square Analysis ◽  
Analysis Technique

This research is a quantitative study that aims to determine the Millennial Generation Characteristics of Employee Engagement. The population in this study The study was conducted by taking samples of Millennials who are actively working at Micro Finance companies with a total of 150 respondents. The sample size was taken as many as 150 respondents, with probability sampling methods especially simple random sampling. Data collection was carried out through questionnaires. The analysis technique used is the PLS (Partial Least Square) analysis method. The results of this study indicate that the value of R- Square (R2) Employee Engagement is 0.786 and Employee Satisfaction is 0.647 thus indicating that the contribution of Grit, Worklife Balance, and Jon Resources variables to Employee Engagement and Employee Satisfaction are 0.786 or 78.6% and 0.647 or 64.7%. And the rest is influenced by other factors not examined.

scholarly journals The Effect of Organizational Climate and Knowlegde Sharing on Employee Performance

2020 ◽  
Vol 3 (2) ◽  
Author(s):  
Devi Astri Utami
Keyword(s):  
Organizational Climate ◽  
Knowledge Sharing ◽  
Employee Performance ◽  
Partial Least Square ◽  
Least Square ◽  
Analysis Techniques ◽  
Insignificant Effect ◽  
Partial Least Square Analysis ◽  
Sample Method

This study aims to examine and analyze the effect of organizational climate and knowledge sharing on employee performance. The object of this research is the part of staffing in communication and informatics institutions located in Jakarta. This study was conducted on 30 respondents with this researcher using the sample method: saturated or biases is also called the census method and the data obtained is analyzed using PLS (Partial Least Square) analysis techniques through SmartPLS software. The result is organizational climate has positive and significant effect performance, and knowledge sharing has negative and insignificant effect to employee performance.

scholarly journals ANALYSIS OF THE EFFECT OF FINANCIAL LITERATION, FINANCIAL TECHNOLOGY, INCOME, AND LOCUS OF CONTROL ON LECTURER FINANCIAL BEHAVIOR

2020 ◽  
Vol 5 (1) ◽  
pp. 37
Author(s):  
Wahyudi Wahyudi ◽  
Brigitta Azalea Pulo Tukan ◽  
Dahlia Pinem
Keyword(s):  
Locus Of Control ◽  
Financial Literacy ◽  
Partial Least Square ◽  
Least Square ◽  
Financial Behavior ◽  
Significant Positive Effect ◽  
Partial Least Square Analysis ◽  
Analysis Technique ◽  
Positive Effect ◽  
Financial Technology

<p>This research is a quantitative study that aims to determine the effect of financial literacy, financial technology, income, and locus of control on financial behavior. The population in this study were Lecturers at the Universitas Pembangunan Nasional Veteran Jakarta. The sample size was taken as many as 80 respondents, with methods through nonprobability sampling, purposive sampling. Data collection was carried out through questionnaires. The analysis technique used is the PLS (Partial Least Square) analysis method with SmartPLS 3.0 software. The results of this study indicate that (1) financial literacy has a significant positive effect on financial behavior. (2) financial technology has no influence and is not significant in financial behavior. (3) income has a significant positive effect on financial behavior. (4) locus of control does not influence financial behavior.</p>

scholarly journals PARTIAL LEAST SQUARE ANALYSIS ON MICRO ENTERPRISES’ INTELLECTUAL CAPITAL AND PERFORMANCE: THE MEDIATING EFFECT OF TACIT KNOWLEDGE SHARING

2018 ◽  
Vol 2 (2) ◽  
pp. 22-33
Author(s):  
Rohana Ngah ◽  
T. Ramayah ◽  
Rahimah Sarmidy
Keyword(s):  
Knowledge Sharing ◽  
Organizational Performance ◽  
Tacit Knowledge ◽  
Intellectual Capital ◽  
Partial Least Square ◽  
Least Square ◽  
Mediating Effect ◽  
Partial Least Square Analysis ◽  
Tacit Knowledge Sharing ◽  
Micro Enterprises

Micro enterprises formed the majority of business establishments in Malaysia and play an important role in the business ecosystem. There are numerous studies of intellectual capital on large organizations and small and medium enterprises, however no study has been carried out on micro enterprises. The findings of the partial-least square analysis of one hundred and six micro enterprises found that intellectual capital has a significant relationship to organizational performance. In addition, the relationship between intellectual capital and organizational performance was significantly influenced by tacit knowledge sharing. In particular, tacit knowledge sharing proves to be extremely relevant when it comes to reinforcing the intellectual capital on the performance of micro enterprises in Malaysia. Limitations and implications for future studies are discussed.

scholarly journals A comparative study of different imputation methods for daily rainfall data in east-coast Peninsular Malaysia

2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Siti Mariana Che Mat Nor ◽  
Shazlyn Milleana Shaharudin ◽  
Shuhaida Ismail ◽  
Nurul Hila Zainuddin ◽  
Mou Leong Tan
Keyword(s):  
Missing Values ◽  
Nearest Neighbor ◽  
East Coast ◽  
Daily Rainfall ◽  
Absolute Error ◽  
Peninsular Malaysia ◽  
Partial Least Square ◽  
Least Square ◽  
Rainfall Data ◽  
Efficiency Coefficient

Rainfall data are the most significant values in hydrology and climatology modelling. However, the datasets are prone to missing values due to various issues. This study aspires to impute the rainfall missing values by using various imputation method such as Replace by Mean, Nearest Neighbor, Random Forest, Non-linear Interactive Partial Least-Square (NIPALS) and Markov Chain Monte Carlo (MCMC). Daily rainfall datasets from 48 rainfall stations across east-coast Peninsular Malaysia were used in this study. The dataset were then fed into Multiple Linear Regression (MLR) model. The performance of abovementioned methods were evaluated using Root Mean Square Method (RMSE), Mean Absolute Error (MAE) and Nash-Sutcliffe Efficiency Coefficient (CE). The experimental results showed that RF coupled with MLR (RF-MLR) approach was attained as more fitting for satisfying the missing data in east-coast Peninsular Malaysia.

scholarly journals The Effect of Sales Promotion on Purchasing Decisions

2021 ◽  
Vol 2 (2) ◽  
pp. 122-133
Author(s):  
Indri Suryani ◽  
Afriapollo Syafarudin
Keyword(s):  
Health Workers ◽  
Continuous Process ◽  
Personal Selling ◽  
Partial Least Square ◽  
Sales Promotion ◽  
Least Square ◽  
Purchasing Decisions ◽  
Partial Least Square Analysis ◽  
A Company ◽  
Positive Effect

To trigger consumer transactions in order to buy a certain product and encourage aggressive purchasing decisions. One trick is that promotion is able to stimulate demand for a product. With the promotion, it is expected that consumers will want to try these products and encourage existing consumers to buy products more often so that re-purchases will occur and the sales volume of a company's products will increase. Promotion is an important factor in realizing the sales goals of a company. In order for consumers to be willing to subscribe, they must first be able to try or research the goods produced by the company, so that buyers can be sure of these goods. Targeted promotion is expected to have a positive effect on increasing sales. Promotion is an important aspect of marketing management and is often said to be a continuous process. With promotion, people who are not interested in buying a product will be interested and try the product so that consumers make a purchase. The type of promotional mix is ​​the combination of the best strategies from the variables of advertising, personal selling, and other promotional tools, all of which are planned to achieve the goals of the sales program. This study aims to examine the effect of promotion on glove purchasing decisions. Respondents of this study used 150 research samples at various hospitals, namely doctors and health workers, the tools used in this study used the PLS (Partial Least Square) analysis method. The results of this research are the effect of promotion on purchasing decisions accepted.   Keywords: Sales Promotion, Purchasing Decision

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