scholarly journals The rapid assessment of concentrations and solid phase associations of macro- and micronutrients in alkaline soils by mid-infrared diffuse reflectance spectroscopy

Soil Research ◽  
2002 ◽  
Vol 40 (8) ◽  
pp. 1339 ◽  
Author(s):  
I. Bertrand ◽  
L. J. Janik ◽  
R. E. Holloway ◽  
R. D. Armstrong ◽  
M. J. McLaughlin
Keyword(s):  
Diffuse Reflectance ◽  
Diffuse Reflectance Spectroscopy ◽  
Solid Phase ◽  
Clay Fraction ◽  
Partial Least Square ◽  
Least Square ◽  
Alkaline Soils ◽  
Mid Infrared ◽  
Pls Analysis ◽  
Macro And Micronutrients

Chemical analysis is a crucial but often expensive and time consuming step in the characterisation of soils. Mid-infrared diffuse reflectance (MIR-DRIFT) spectroscopy coupled with partial least square (PLS) analysis was used to determine macro- and micronutrient concentrations of a range of alkaline soils from southern Australia. Solid phase associations of macro- and micronutrients were also investigated using the mineralogical information contained in the infrared spectra of soil samples. Results showed that MIR-PLS analysis is a powerful and rapid technique for the accurate prediction of more than 15 chemical properties from each soil sample spectrum. Correlation coefficients for MIR derived concentration versus laboratory determined values were greater than R2 = 0.80 for soil moisture, calcium carbonate concentration, total concentration of Mg, K, S, Fe, Al, Mn, Zn, Cu, and oxalate- extractable Al, Fe, Mn, and Si. In calcareous soils, sulfur was associated with carbonate and conversely Mg was more related to the clay concentration of soils. Micronutrients such as Fe, Zn, Mn, and Cu were positively associated with smectite/illite in the clay fraction and negatively with kaolinite. The potential use of these results in partitioning model to assess plant available micronutrients pools is discussed.

scholarly journals Nondestructive Detection of Moisture Content in Walnut Kernel by Near-Infrared Diffuse Reflectance Spectroscopy

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Dan Peng ◽  
Yali Liu ◽  
Jiasheng Yang ◽  
Yanlan Bi ◽  
Jingnan Chen
Keyword(s):  
Moisture Content ◽  
Spectral Data ◽  
Diffuse Reflectance ◽  
Near Infrared ◽  
Diffuse Reflectance Spectroscopy ◽  
Reflectance Spectroscopy ◽  
Partial Least Square ◽  
Least Square ◽  
Partial Least Square Regression ◽  
Support Vector

The rapid and accurate detection of the moisture content is of great significance to the quality evaluation and oil extraction process of walnut kernel. Near-infrared (NIR) spectroscopy is an ideal method for measuring the moisture content in walnut kernel. In this study, a regression model for moisture content in walnut kernel was developed based on NIR diffuse reflectance spectroscopy using chemometric methods. The different spectral pretreatment methods were adopted to preprocess the original spectral data. The whole spectra band was divided into 5 subbands, 10 subbands, 15 subbands, and 20 subbands to screen specific wavelengths relevant to the walnut kernel moisture content. PLS (partial least square regression), MLR (multivariate linear regression), PCR (principle component regression), and SVR (support vector regression) were used to establish the relationship model between the spectral data and measurement values of the moisture content. In comparison, the optimized modeling conditions were determined as follows: detection wavelength 1349–1490 nm, SNV-FD (standard normal variate transformation and first derivative) preprocessing method, and PLS algorithm. Under these conditions, the square correlation coefficient (R2) and root mean square error of prediction (RMSEP) of the prediction model were 0.9865 and 0.0017, respectively. The results of this study provided a feasible method for the rapid detection of moisture content in walnut kernel. To improve the performance and applicability of the model, it is necessary to continuously expand the size of the sample set.

Effect of Motivation to Employee Performance which was Mediatied by Work Satisfaction in PT Smailing Tour Denpasar

2018 ◽  
Vol 9 (08) ◽  
pp. 20959-20973
Author(s):  
Benediktus Ignasius Tani Raka ◽  
Anik Yuesti ◽  
Nengah Landra
Keyword(s):  
Job Satisfaction ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Employee Performance ◽  
Work Satisfaction ◽  
Equation Model ◽  
Partial Least Square ◽  
Least Square ◽  
Pls Analysis ◽  
Permanent Employees

This study aims is to test and analyze the influence of motivation on employee performance mediated by job satisfaction. This research was conducted at PT Smailing Tour Denpasar with population and research sample of all permanent employees that is 90 people. All data obtained from the kuisoner distribution is feasible to be used, then analyzed using a variance based structural equation model known as Partial Least Square (PLS) analysis. The result of the research shows that (1) the motivation has positive and significant effect on the employee's performance, (2) the motivation has positive and significant effect on the job satisfaction, (3) the job satisfaction has positive and significant effect to the employee's performance; (4) the motivation has positive and significant effect on employee performance through job satisfaction. The implication of this research is that motivation can be improved by taking into account the need for workplace environment to improve employee performance, job satisfaction can be improved by paying attention to the work itself in order to increase employee performance. Employee performance can be improved by taking into account the effectiveness of employees.

Effect of Job-Insecurity, Organizational Commitment, Job Satisfaction on Turnover Intention: A Case Study of Newcomer Lecturers at Private Islamic Universities in East Java Province, Indonesia

2018 ◽  
Vol 6 (2) ◽  
pp. 199
Author(s):  
Asep Saifuddin Chalim
Keyword(s):  
Job Satisfaction ◽  
Organizational Commitment ◽  
Turnover Intention ◽  
Structural Equation ◽  
Job Insecurity ◽  
Partial Least Square ◽  
Least Square ◽  
Path Model ◽  
Equation Modeling ◽  
Pls Analysis

This study discussed employee turnover as one of the crucial problems faced by every organization. This study sought to analyze the determinants of turnover intention, such as job insecurity, organizational commitment, and job satisfaction. The objects of this study were newcomer lecturers of private Islamic universities in East Java Province, Indonesia. To analyze the relationship among independent variables and dependent variable; this study employed a correlation path model. To build the structural formulation of the correlation path model, this study used the variance-based Structural Equation Modeling (SEM) as a Partial Least Square (PLS) analysis. The study found that job insecurity influenced job satisfaction and organizational commitment. Moreover, job satisfaction and organizational commitment had positive impacts on the turnover intention. In contrast, job insecurity did not have a direct significant impact on the turnover intention, but it had indirect effect that influences job satisfaction and organizational commitment.

scholarly journals Metabolomics and lipid profile analysis of Coccomyxa melkonianii SCCA 048

Extremophiles ◽  
2021 ◽  
Author(s):  
Giacomo Fais ◽  
Veronica Malavasi ◽  
Paola Scano ◽  
Santina Soru ◽  
Pierluigi Caboni ◽  
...  
Keyword(s):  
Fatty Acid ◽  
Profile Analysis ◽  
Partial Least Square ◽  
Least Square ◽  
Mining Site ◽  
Mining Areas ◽  
Pls Analysis ◽  
Threonic Acid ◽  
High Concentrations ◽  
Potential Exploitation

AbstractWith an unsupervised GC–MS metabolomics approach, polar metabolite changes of the microalgae Coccomyxa melkonianii SCCA 048 grown under standard conditions for seven weeks were studied. C. melkonianii was sampled at the Rio Irvi River, in the mining site of Montevecchio-Ingurtosu (Sardinia, Italy), which is severely contaminated by heavy metals and shows high concentrations of sulfates. The partial-least-square (PLS) analysis of the GC–MS data indicated that growth of C. melkonianii was characterized by an increase of the levels of threonic acid, myo-inositol, malic acid, and fumaric acid. Furthermore, at the sixth week of exponential phase the lipid fingerprint of C. melkonianii was studied by LC-QTOF-MS. C. melkonianii lipid extract characterized through an iterative MS/MS analysis showed the following percent levels: 61.34 ± 0.60% for triacylglycerols (TAG); 11.55 ± 0.09% for diacylglyceryltrimethyl homoserines (DGTS), 11.34 ± 0.10% for sulfoquinovosyldiacylglycerols (SQDG) and, 5.29 ± 0.04% for lysodiacylglyceryltrimethyl homoserines (LDGTS). Noteworthy, we were able to annotate different fatty acid ester of hydroxyl fatty acid, such as FAHFA (18:1_20:3), FAHFA (18:2_20:4), FAHFA (18:0_20:2), and FAHFA (18:1_18:0), with relevant biological activity. These approaches can be useful to study the biochemistry of this extremophile algae in the view of its potential exploitation in the phycoremediation of polluted mining areas.

scholarly journals PENGARUH DIMENSI DIMENSI IKLIM ORGANISASI TERHADAP KINERJA PEGAWAI DI BADAN KEPEGAWAIAN DAERAH PROVINSI NUSA TENGGARA BARAT

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Muhammad Amri Fuadi ◽  
Hermanto Hermanto ◽  
Lalu Suparman
Keyword(s):  
Organizational Climate ◽  
Social Environment ◽  
Employee Performance ◽  
Partial Least Square ◽  
Least Square ◽  
Work Behavior ◽  
Positive Sign ◽  
Path Coefficient ◽  
Observation Data ◽  
Pls Analysis

This research is directed to prove the significance of the influence of organizational climate dimensions in the form of physical environment (X1), social environment (X2) and management system (X3) on the dimensions of employee performance in the form of employee work goals (Y1) and employee work behavior (PKP). There are six hypotheses that are proven through a partial least square (PLS) analysis process. The population of this study (observation data) was 82 BKD NTB employees. Data was collected through questionnaires and all questionnaires returned in accordance with data input needs. Through the outer model stage there are two indicators of the social environment that are issued, namely the relationship of superiors with subordinates (LS1) and colleague relations (LS2) as well as two indicators of employee work behavior, namely commitment (PKP3) and leadership (PKP6). Indicators that are classified as valid get a reinforcement of criteria through the parameter AVE values above 0.50 and include reliable indicators through Cronbach's alpha parameters and composite reliability above 0.70. PLS analysis through the inner model stage found that all dimensions of the organization's climate have a positive influence (positive sign of the path coefficient) on the dimensions of employee performance.Keywords : Organizational Climate Dimensions and Employee Performance Dimensions.

scholarly journals The Concept of Digitalization-based Performance Management In An Effort to Improve Employee Performance During the Covid-19 pandemic in Village-Owned Enterprises (BUMDES) throughout Buleleng Regency

2021 ◽  
Vol 5 (2) ◽  
Author(s):  
Putu Agus Adnyana
Keyword(s):  
Performance Management ◽  
Employee Performance ◽  
Sampling Technique ◽  
Partial Least Square ◽  
Least Square ◽  
Organizational Goals ◽  
Analysis Technique ◽  
Study Population ◽  
Pls Analysis ◽  
Work Management

The purpose of this study is to determine employee performance through the concept of work management and digitalization as the main keys to improving the performance of BUMDES employees in Buleleng Regency. The concept of performance management is the employee’s activities and work results in line with organizational goals. So that it contributes to improving the performance of BumDes employees. The study population was all active BumDes in Buleleng Regency. Sampling in this study using random sampling technique. The data analysis technique used in this research is the Component based SEM, Partial Least Square (PLS) analysis method. The results showed that the concept of work management has an effect on digitization and employee performance.

scholarly journals Urinary Volatomic Expression Pattern: Paving the Way for Identification of Potential Candidate Biosignatures for Lung Cancer

Metabolites ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. 36
Author(s):  
Khushman Taunk ◽  
Priscilla Porto-Figueira ◽  
Jorge A. M. Pereira ◽  
Ravindra Taware ◽  
Nattane Luíza da Costa ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Fatty Acid Biosynthesis ◽  
Solid Phase ◽  
Partial Least Square ◽  
Least Square ◽  
Gas Chromatography Mass Spectrometry ◽  
Support Vector ◽  
Control Group ◽  
Potential Candidate ◽  
Metabolic Pathway Analysis

The urinary volatomic profiling of Indian cohorts composed of 28 lung cancer (LC) patients and 27 healthy subjects (control group, CTRL) was established using headspace solid phase microextraction technique combined with gas chromatography mass spectrometry methodology as a powerful approach to identify urinary volatile organic metabolites (uVOMs) to discriminate among LC patients from CTRL. Overall, 147 VOMs of several chemistries were identified in the intervention groups—including naphthalene derivatives, phenols, and organosulphurs—augmented in the LC group. In contrast, benzene and terpenic derivatives were found to be more prevalent in the CTRL group. The volatomic data obtained were processed using advanced statistical analysis, namely partial least square discriminative analysis (PLS-DA), support vector machine (SVM), random forest (RF), and multilayer perceptron (MLP) methods. This resulted in the identification of nine uVOMs with a higher potential to discriminate LC patients from CTRL subjects. These were furan, o-cymene, furfural, linalool oxide, viridiflorene, 2-bromo-phenol, tricyclazole, 4-methyl-phenol, and 1-(4-hydroxy-3,5-di-tert-butylphenyl)-2-methyl-3-morpholinopropan-1-one. The metabolic pathway analysis of the data obtained identified several altered biochemical pathways in LC mainly affecting glycolysis/gluconeogenesis, pyruvate metabolism, and fatty acid biosynthesis. Moreover, acetate and octanoic, decanoic, and dodecanoic fatty acids were identified as the key metabolites responsible for such deregulation. Furthermore, studies involving larger cohorts of LC patients would allow us to consolidate the data obtained and challenge the potential of the uVOMs as candidate biomarkers for LC.

scholarly journals PENGARUH KOMPENSASI FINANSIAL DAN NON FINANSIAL TERHADAP KINERJA KARYAWAN PT. BANK SYARIAH X MELALUI MOTIVASI KERJA SEBAGAI VARIABEL INTERVENING

2020 ◽  
Vol 22 (1) ◽  
pp. 42-50
Author(s):  
Rizky Aprilia Ayu Wardani
Keyword(s):  
Work Motivation ◽  
Partial Least Square ◽  
Least Square ◽  
Mediating Effect ◽  
Significant Positive Effect ◽  
Analysis Method ◽  
Indirect Influence ◽  
Pls Analysis ◽  
And Performance ◽  
Positive Effect

Abstract – performance is a record of the outcome of the function of a particular job or activity of an employee for a certain period of time (Gomes, 2000). This study aims to examine the effect of compensation financial and compensation non financial on performance of employee with motivation as intervening variabel involving 35 people as respondent with using partial least square (PLS) analysis method and sobel tests to test the mediating effect. Data were obtained through observation and questionnaire distribution.This study shows two point, first compensation financial has a significant positive effect on work motivation and work motivation has a significant positive effect on employee’s performance. Indirect influence between compensation financial on performance of employee through work motivation that is partial of mediation due to the effect between compensation financial variable on performance also significant. Second, compensation non financial has a significant positive effect on work motivation. Indirect influence between compensation non financial on performance through work motivation that is full of mediation due to the effect between compensation non financial variable on performance of employee not significant. Keywords:  compensation financial, compensation non financial, work motivation, and performance of employee

scholarly journals PENGARUH CREATIVE PSYCHOLOGY CAPITAL MEMEDIASI SENSITIVITAS ETIS TERHADAP JOB PERFORMANCE

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Syaikhul Falah
Keyword(s):  
Data Collection ◽  
Job Performance ◽  
Sampling Method ◽  
Psychological Capital ◽  
Sampling Technique ◽  
Partial Least Square ◽  
Least Square ◽  
Ethical Sensitivity ◽  
Analysis Technique ◽  
Pls Analysis

This study aims to analyze the psychological aspects (creative psychology capital and ethical sensitivity) to the performance. This research was conducted in several hospitals in Jayapura City. Data collection in this research is using questionnaire where respondent in this research is staff of finance or administration and program. The sampling technique used in this research is census sampling method. The number of research samples taken as many as 38 respondents. This research uses Partial Least Square (PLS) analysis technique. The result of this study shows that the developed hiptotesi significantly influence the performance. Keywords: Psychological Capital, Ethical Sensitivity and Job Performance, hospital

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