Study the Relationship between Chemical Components of Complex Prescription and Blood Flow of the Ileus Rats

2013 ◽  
Vol 864-867 ◽  
pp. 512-515 ◽  
Author(s):  
Bin Nie ◽  
Jian Qiang Du ◽  
Ri Yue Yu ◽  
Zhuo Wang
Keyword(s):  
Blood Flow ◽  
Correlation Analysis ◽  
Uniform Design ◽  
Herbal Medicines ◽  
Partial Least Square ◽  
Least Square ◽  
Chemical Components ◽  
Least Squares Regression ◽  
Optimal Method ◽  
The Relationship

Explore the relationship between chemical components of complex prescription and blood flow of the ileus rats, and predict the best compatibility. Method: first of all, experimental design. with reference to the original formula, the herbal medicines in a prescription include Rhubarb, Mangnolia officinalis, immature bitter orange, mirabilite designed nine formula based on Mixing uniform design, obtain chemical components of complex prescription and intestinal blood flow data; Secondly, explore important variables and interaction affect the information; The third, mathematical modelling. Finally, the target optimization. Results: there are interactions in the chemical components of complex prescription, and have the best compatibility. Conclusion: conjunctive use correlation analysis, partial correlation analysis, orthogonal partial least square analysis, Partial least-squares Regression, Optimal Method to study the compatibility of the dachengqi decoction is feasible and effective.

scholarly journals Chemical Composition and Antimicrobial Activity of Three Essential Oils from Curcuma wenyujin

2013 ◽  
Vol 8 (4) ◽  
pp. 1934578X1300800 ◽  
Author(s):  
Jingjing Zhu ◽  
Agnieszka D. Lower-Nedza ◽  
Meng Hong ◽  
Song Jiec ◽  
Zhimin Wang ◽  
...  
Keyword(s):  
Antimicrobial Activity ◽  
Essential Oils ◽  
Herbal Medicines ◽  
Principal Component ◽  
Antimicrobial Activities ◽  
Inhibitory Effect ◽  
Partial Least Square ◽  
Least Square ◽  
Chemical Components ◽  
Potent Inhibitory Effect

Curcuma wenyujin is a traditional medicinal plant in China. The non-steamed rhizomes, steamed rhizomes and steamed roots of this plant are used as herbal medicines in three clinics, namely Pian-jiang-huang (PJH), Wen-e-zhu (WEZ), and Wen-yu-jin (WYJ), and are officially listed in the Chinese Pharmacopoeia. The purpose of this study was to conduct a comparative analysis of the three essential oils extracted from the C. wenyujin rhizomes and roots using GC-MS, and in doing so thirty compounds were identified. Principal component analysis (PCA) effectively distinguished the samples taken from the three different groups. Monoterpenoids, including camphene, linalool, camphor, isoborneol, borneol and eucalyptol, were characteristic components of the PJH oil, while β-elemene, β-elemenone, γ-elemene and δ-elemene were typical components of the WEZ oil, and propanenitrile, caryophyllene oxide, (-)-caryophyllene, germacrene B, pogostol and α-humulene were representative ingredients of the WYJ oil. The ratio of sesquiterpenoids to monoterpenoids in PJH, WEZ, and WYJ were 2:1, 5:1 and 7:1, respectively. The antimicrobial activities of the three essential oils and of the six main ingredients were tested against two bacterial and one fungal strains using agar diffusion and broth dilution methods. The essential oil of PJH was shown to present a higher antimicrobial activity than that of WEZ and WYJ. Based on the Partial Least Square Model (PLS), the correlation between the antimicrobial activity of the tested oils and the identified chemical components was discussed and potential components of the antimicrobial activity were predicted according to Variable Importance in the Project (VIP) Value. The tested monoterpenes eucalyptol and isoborneol demonstrated a higher inhibitory activity than the sesquiterpenes germacrone, curdione and β-elemene. Therefore, the potent inhibitory effect of the PJH oil might be attributed to its higher content of monoterpenes. The MIC values for the essential oils and their ingredients ranged from 62.5 to 500 μg/mL.

scholarly journals Statistical-Shape Prediction of Lower Limb Kinematics During Cycling, Squatting, Lunging, and Stepping—Are Bone Geometry Predictors Helpful?

2021 ◽  
Vol 9 ◽  
Author(s):  
Joris De Roeck ◽  
Kate Duquesne ◽  
Jan Van Houcke ◽  
Emmanuel A. Audenaert
Keyword(s):  
Bone Geometry ◽  
Error Reduction ◽  
Partial Least Square ◽  
Least Square ◽  
Partial Least Square Regression ◽  
Specific Reference ◽  
Least Squares Regression ◽  
Statistical Shape ◽  
The Relationship ◽  
Biometric Features

Purpose: Statistical shape methods have proven to be useful tools in providing statistical predications of several clinical and biomechanical features as to analyze and describe the possible link with them. In the present study, we aimed to explore and quantify the relationship between biometric features derived from imaging data and model-derived kinematics.Methods: Fifty-seven healthy males were gathered under strict exclusion criteria to ensure a sample representative of normal physiological conditions. MRI-based bone geometry was established and subject-specific musculoskeletal simulations in the Anybody Modeling System enabled us to derive personalized kinematics. Kinematic and shape findings were parameterized using principal component analysis. Partial least squares regression and canonical correlation analysis were then performed with the goal of predicting motion and exploring the possible association, respectively, with the given bone geometry. The relationship of hip flexion, abduction, and rotation, knee flexion, and ankle flexion with a subset of biometric features (age, length, and weight) was also investigated.Results: In the statistical kinematic models, mean accuracy errors ranged from 1.60° (race cycling) up to 3.10° (lunge). When imposing averaged kinematic waveforms, the reconstruction errors varied between 4.59° (step up) and 6.61° (lunge). A weak, yet clinical irrelevant, correlation between the modes describing bone geometry and kinematics was observed. Partial least square regression led to a minimal error reduction up to 0.42° compared to imposing gender-specific reference curves. The relationship between motion and the subject characteristics was even less pronounced with an error reduction up to 0.21°.Conclusion: The contribution of bone shape to model-derived joint kinematics appears to be relatively small and lack in clinical relevance.

A Partial Least Square Structural Equation Modeling: Prestige Perception in Tourism

2020 ◽  
Author(s):  
Murat Kayak
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Primary Data ◽  
Equation Modeling ◽  
Destination Brand ◽  
The Relationship ◽  
Intention To Revisit ◽  
Brand Prestige

This study aims to investigate destination brand prestige, and to explore the mediating effects of destination brand worldness between destination brand prestige and intention to revisit. Research is designed to collect primary data from the Taiwanese tourists. Partial least squares structural equation modeling is used to test the effects. The research model is appropriately implemented in Smart PLS 3 and a full mediation has existed through the empirical findings. The study shows how destination brand worldness mediates the relationship between destination brand prestige and intention to revisit.

scholarly journals A fast and low-cost approach to quality control of alcohol-based hand sanitizer using portable near infrared spectrometer and chemometrics

2021 ◽  
pp. 096703352098731
Author(s):  
Adenilton C da Silva ◽  
Lívia PD Ribeiro ◽  
Ruth MB Vidal ◽  
Wladiana O Matos ◽  
Gisele S Lopes
Keyword(s):  
Quality Control ◽  
Discriminant Analysis ◽  
Near Infrared ◽  
Nir Spectroscopy ◽  
Principal Component ◽  
Partial Least Square ◽  
Least Square ◽  
Chemical Components ◽  
Linear Discriminant ◽  
Hand Sanitizer

The use of alcohol-based hand sanitizers is recommended as one of several strategies to minimize contamination and spread of the COVID-19 disease. Current reports suggest that the virucidal potential of ethanol occurs at concentrations close to 70%. Traditional methods of verifying the ethanol concentration in such products invite potential errors due to the viscosity of chemical components or may be prohibitively expensive to undertake in large demand. Near infrared (NIR) spectroscopy and chemometrics have already been used for the determination of ethanol in other matrices and present an alternative fast and reliable approach to quality control of alcohol-based hand sanitizers. In this study, a portable NIR spectrometer combined with classification chemometric tools, i.e., partial least square discriminant analysis (PLS–DA) and linear discriminant analysis with successive algorithm projection (SPA–LDA) were used to construct models to identify conforming and non-conforming commercial and laboratory synthesized hand sanitizer samples. Principal component analysis (PCA) was applied in an exploratory data study. Three principal components accounted for 99% of data variance and demonstrate clustering of conforming and non-conforming samples. The PLS–DA and SPA–LDA classification models presented 77 and 100% of accuracy in cross/internal validation respectively and 100% of accuracy in the classification of test samples. A total of 43% commercial samples evaluated using the PLS–DA and SPA–LDA presented ethanol content non-conforming for hand sanitizer gel. These results indicate that use of NIR spectroscopy and chemometrics is a promising strategy, yielding a method that is fast, portable, and reliable for discrimination of alcohol-based hand sanitizers with respect to conforming and non-conforming ethanol concentrations.

scholarly journals ENABLING ORGANIZATIONAL CHANGE – LEADERSHIP, COMMITMENT TO CHANGE AND THE MEDIATING ROLE OF CHANGE READINESS

2013 ◽  
Vol 14 (2) ◽  
pp. 348-363 ◽  
Author(s):  
Sinnappan Santhidran ◽  
V. G. R. Chandran ◽  
Junbo Borromeo
Keyword(s):  
Change Readiness ◽  
Change Leadership ◽  
Partial Least Square ◽  
Least Square ◽  
Asian Countries ◽  
Leadership Change ◽  
Commitment To Change ◽  
Mediating Role ◽  
The Relationship

There has been little empirical analysis on the complex relationship between leadership, change readiness and commitment to change in the context of Asian countries. In this paper, we propose a research model to analyze the interrelationship between leadership, change readiness and commitment to change using the partial least square technique. Results of the study suggest that leadership positively and significantly affect change readiness but not commitment to change. Consequently, change readiness is found to significantly affect commitment to change. In other words, change readiness is found to mediate the relationship between transformational leadership and commitment to change. This may suggest that the influence of leadership is a sequential process affecting change readiness, and in turn, the commitment to change as opposed to the conventional belief that it affects both change readiness and commitment to change simultaneously. The implication of the study is further discussed.

Identification Model in Frying Oil Based on Interval Partial Least Squares Regression Analysis

2013 ◽  
Vol 718-720 ◽  
pp. 792-796
Author(s):  
Ming Fu Zhao ◽  
Zheng Wei Zhang ◽  
Nian Wang
Keyword(s):  
Partial Least Square ◽  
Frying Oil ◽  
Least Square ◽  
Absorption Peak ◽  
Least Squares Regression ◽  
Spectral Absorption ◽  
Characteristic Absorption Peak ◽  
Time Usage ◽  
Long Time ◽  
Optimum Interval

As we known frying oil belongs to waste oils when it has been excessive used, long time usage also cause serious effect. This paper chooses dragon fish oil which was fried 10 times excessively. We can extract the characteristic in absorption peak (323.391.443nm) of spectral absorption value as the dependent variable. Then build the interval partial least square model, Through the MATLAB, we can extract the optimum interval is 5 and the best factor of wavelength range is 7. Prediction of correlation coefficient for R is 0.998. By the cross validation verification Q22=-0.3461<0.0975, we can get the establishment of PLS equation as Y1, Y2, Y3. The model which we build can predict the content situation of characteristic absorption peak in frying oil effectively.

Field Nitrogen Dioxide and Ozone Monitoring Using Electrochemical Sensors with Partial Least Squares Regression

2021 ◽  
Vol 5 (1) ◽  
pp. 61
Author(s):  
Rachid Laref ◽  
Etienne Losson ◽  
Alexandre Sava ◽  
Maryam Siadat
Keyword(s):  
Nitrogen Dioxide ◽  
Electrochemical Sensors ◽  
Partial Least Square ◽  
Least Square ◽  
Partial Least Square Regression ◽  
Calibration Model ◽  
Least Squares Regression ◽  
Monitoring Networks ◽  
Concentration Estimation ◽  
The Impact

Low-cost gas sensors detect pollutants gas at the parts-per-billion level and may be installed in small devices to densify air quality monitoring networks for the spread analysis of pollutants around an emissive source. However, these sensors suffer from several issues such as the impact of environmental factors and cross-interfering gases. For instance, the ozone (O3) electrochemical sensor senses nitrogen dioxide (NO2) and O3 simultaneously without discrimination. Alphasense proposes the use of a pair of sensors; the first one, NO2-B43F, is equipped with a filter dedicated to measure NO2. The second one, OX-B431, is sensitive to both NO2 and O3. Thus, O3 concentration can be obtained by subtracting the concentration of NO2 from the sum of the two concentrations. This technique is not practical and requires calibrating each sensor individually, leading to biased concentration estimation. In this paper, we propose Partial Least Square regression (PLS) to build a calibration model including both sensors’ responses and also temperature and humidity variations. The results obtained from data collected in the field for two months show that PLS regression provides better gas concentration estimation in terms of accuracy than calibrating each sensor individually.

Identification and Quantification of Metamizole in Traditional Herbal Medicines using Spectroscopy FTIR-ATR combined with Chemometrics

2021 ◽  
pp. 4413-4419
Author(s):  
Dharmastuti Cahya Fatmarahmi ◽  
Ratna Asmah Susidarti ◽  
Respati Tri Swasono ◽  
Abdul Rohman
Keyword(s):  
Discriminant Analysis ◽  
Herbal Medicine ◽  
Ftir Spectroscopy ◽  
Herbal Medicines ◽  
Principal Component ◽  
Attenuated Total Reflection ◽  
Partial Least Square ◽  
Least Square ◽  
Partial Least Square Regression ◽  
Precision Data

The study aims to develop an effective, efficient, and reliable method using Fourier Transform Infrared (FTIR) spectroscopy with Attenuated Total Reflection (ATR) combined with chemometric for identifying the synthetic drug in Indonesian herbal medicine known as Jamu. Jamu powders, Metamizole, and the binary mixture of Jamu and Metamizole were measured using FTIR-ATR at the mid-infrared region (4000-650 cm-1). The obtained spectra profiles were further analyzed by Principal Component Analysis, Partial Least Square Regression, Principal Component Regression, and Discriminant Analysis. Jamu Pegel Linu (JPL), Jamu Encok (JE), Jamu Sakit Pinggang (JSP), Metamizole (M), and adulterated Jamu by Metamizole were discriminated well on PCA score plot. PLSR and PCR showed the accuracy and precision data to quantify JPL, JE, and JSP, and each adulterated by M with R2 value > 0,995 and low value of RMSEC and RMSEP. Discriminant Analysis (DA) was successfully grouping Jamu and Metamizole without any misclassification. A combination of FTIR spectroscopy and chemometrics offered useful tools for detecting Metamizole in traditional herbal medicine.

Towards Managing Organizational Change: An Empirical Study

2021 ◽  
Vol 3 (2) ◽  
pp. 41-50
Author(s):  
Sulaiman Abdullahi Bambale ◽  
Saheed Ademola Lateef ◽  
Ibrahim Abdulmalik
Keyword(s):  
Organizational Change ◽  
Structural Equation ◽  
Employee Commitment ◽  
Employee Motivation ◽  
Partial Least Square ◽  
Least Square ◽  
Trust Building ◽  
Observation Data ◽  
Study Results ◽  
The Relationship

This study examines the relationship between trust buildings, motivating employees, and employee commitment toward organizational change. A self-administrated questionnaire was used to gather data. The study provides a basic understanding of organizational change. Through systemic, theoretical, and conceptual understanding, the arguments of the study are built on the importance of communication in the organization and how in bringing organizational change. The current study proposed that trust-building, employee motivation, and employee commitment will be related to organizational change. A total of 292 copies of completed questionnaires were returned, representing 90.7% of the total questionnaire distribution to both managers and owners of manufacturing firms. Out of which, only 275 questionnaires were usable for the analysis after removing incomplete data and outliers. Partial Least Square-Structural Equation Modelling (PLS-SEM) was used to analyze as a popularly accepted model to justify the theory with the observation data. The study results revealed that trust-building, employee motivation and employee commitment have significant effects on organizational change. The current study also claims the importance of collaboration within employees of any organization at the level of transition. The current study will help professionals and academics and enhancing their leadership abilities, it will benefit and inspire trust members to show better outcomes. However, it is recommended that further research is needed in this direction to confirm the result of this study. Finally, this study concludes that trust-building, employee commitment and employee motivation play a significant role in organizational change.

I'll manage myself: the moderator effect of positive framing on the relationship between organisational politics and engagement

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Robinson James
Keyword(s):  
Work Engagement ◽  
Structural Equation ◽  
Harmful Effect ◽  
Negative Relationship ◽  
Partial Least Square ◽  
Least Square ◽  
Moderator Effect ◽  
Content Type ◽  
The Relationship ◽  
Organisational Politics

PurposeThis study aims to investigate the influence of organisational politics on work engagement and the moderator effect of positive framing on this relationshipDesign/methodology/approachData were collected from 241 public sector employees in Sri Lanka through a structured questionnaire and analysed with partial least square structural equation modelling (PLS_SEM).FindingsThe results indicated that organisational politics negatively influenced employees' work engagement, positive framing positively influenced engagement and weakened the negative relationship between politics and engagement.Practical implicationsThis study suggests that organisation and individuals must take the necessary steps to enhance work engagement. Organisations must be transparent in all activities to avoid employees' negative perception. Also, organisations need to take steps to recruit employees with positive framing or develop this competency through training and development. Individuals also need to take necessary steps to frame the work environment positively to enhance their engagement in work.Originality/valueThis study extends the literature by being the first to examine the positive framing as a moderator in the relationship between politics and engagement. This study found that positive framing as a resource reduced the harmful effect of organisational politics on engagement and suggested positive framing can be considered as a resource in the future investigation of the job demand–resource model.

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