scholarly journals Untargeted GC-MS-Based Metabolomics for Early Detection of Colorectal Cancer

2021 ◽  
Vol 11 ◽  
Author(s):  
Guoxue Zhu ◽  
Yi Wang ◽  
Wang Wang ◽  
Fang Shang ◽  
Bin Pei ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Inositol Phosphate ◽  
Partial Least Square ◽  
Least Square ◽  
P Value ◽  
Signal Pathways ◽  
Diagnostic Biomarkers ◽  
Inositol Phosphate Metabolism ◽  
Malignant Polyps

BackgroundColorectal cancer (CRC) is one of the most common malignant gastrointestinal cancers in the world with a 5-year survival rate of approximately 68%. Although researchers accumulated many scientific studies, its pathogenesis remains unclear yet. Detecting and removing these malignant polyps promptly is the most effective method in CRC prevention. Therefore, the analysis and disposal of malignant polyps is conducive to preventing CRC.MethodsIn the study, metabolic profiling as well as diagnostic biomarkers for CRC was investigated using untargeted GC-MS-based metabolomics methods to explore the intervention approaches. In order to better characterize the variations of tissue and serum metabolic profiles, orthogonal partial least-square discriminant analysis was carried out to further identify significant features. The key differences in tR–m/z pairs were screened by the S-plot and VIP value from OPLS-DA. Identified potential biomarkers were leading in the KEGG in finding interactions, which show the relationships among these signal pathways.ResultsFinally, 17 tissue and 13 serum candidate ions were selected based on their corresponding retention time, p-value, m/z, and VIP value. Simultaneously, the most influential pathways contributing to CRC were inositol phosphate metabolism, primary bile acid biosynthesis, phosphatidylinositol signaling system, and linoleic acid metabolism.ConclusionsThe preliminary results suggest that the GC-MS-based method coupled with the pattern recognition method and understanding these cancer-specific alterations could make it possible to detect CRC early and aid in the development of additional treatments for the disease, leading to improvements in CRC patients’ quality of life.

scholarly journals ANALISIS KUALITAS PELAYANAN INTERNET INDIHOME PADA PT. X DENGAN PENDEKATAN PART LEAST SQUARE

2019 ◽  
Vol 20 (1) ◽  
pp. 77
Author(s):  
Kukuh Winarso ◽  
Moh. Jufriyanto
Keyword(s):  
Hypothesis Test ◽  
Partial Least Square ◽  
Least Square ◽  
P Value ◽  
Test Results ◽  
Multivariate Statistical ◽  
Internet Service ◽  
Analysis Techniques ◽  
Inner Model

PT. X Provides paid internet services known as Indihome. The problem that occurs in Indihome Internet service is that there are 42.36% complaints from consumers to the service process provided by PT. X and there is a 7.46% complaint about the amount of the bill. The purpose of this study is to model and know what variables affect the quality of the Indihome Internet service. The method used is Partial Least Square (PLS). Partial Least Square (PLS) is one of the multivariate statistical analysis techniques that can handle multiple response variables and an explanatory variable. The variables used are tangible, empathy, assurance, reliability and responsiveness. The results of the research are the increase of R square value after the implementation of the A5 indicator that does not meet the model PLS. All five variables affect the quality of indihome Internet service is 76,1%. Based on the hypothesis test results on the outer model It is said that the variable indicator is valid with p-value = 0 < 0,05. In testing the inner model obtained that the variable tangible and responsiveness has no significant effect on the quality of Internet service Indihome, while the variable empathy, assurance, reliability significantly affect the quality of service Indihome Internet.

ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KUALITAS PENGELOLAAN BARANG MILIK DAERAH PADA OPD DI LINGKUNGAN PEMERINTAH KABUPATEN WAROPEN DENGAN KOMITMEN PIMPINAN SEBAGAI VARIABEL MODERATING

2018 ◽  
Vol 1 (2) ◽  
pp. 1-33
Author(s):  
Berlian Ritha Belo ◽  
Meinarni Asnawi ◽  
Anthonius H.C. Wijaya
Keyword(s):  
Information Systems ◽  
Latent Variables ◽  
Management Information Systems ◽  
Regulatory Compliance ◽  
Partial Least Square ◽  
Least Square ◽  
P Value ◽  
Management Information ◽  
The Relationship

This study aims to examine the factors that influence the Quality of Regional Property Management in the Waropen District Government. These factors include the variable Quality of Regional Apparatus, Regulatory Compliance and Management Information Systems. In addition, this studyuses moderating variables, namely Leadership Commitment. The analytical tool in this study used WarpPLS 6.0. This software can analyze SEM models based on variants or better known as Partial Least Square. The SEM analysis model with WarpPLS can identify and estimate the relationship between latent variables whether the relationship is linear or non linear The results of this study indicate that Apparatus Quality and Regulatory Compliance affect the Management of BMD with P-values of each variable 0.028 and 0.005. While the management information system has no effect with a P-value of 0.148. In addition, the leadership commitment is not able to moderate the quality of regional apparatus to the quality of BMD management with a pvalue of 0.070. While organizational commitment is able to moderate the variable compliance with regulations and management information systems on the quality of BMD management with the respective P-value values of 0.001 and 0.012.

scholarly journals Implementasi Kebijakan DIKLATPIM IV Pola Baru dalam Meningkatkan Kualitas Pelayanan Publik di Pemerintah Provinsi Gorontalo

2018 ◽  
Vol 15 (2) ◽  
pp. 242-260 ◽  
Author(s):  
Irfan Ibrahim
Keyword(s):  
Policy Implementation ◽  
Public Service ◽  
Measurement Model ◽  
Partial Least Square ◽  
Least Square ◽  
P Value ◽  
Regional Government ◽  
Know How ◽  
Quantitative Design

The low quality of public services in government agencies becomes a challenge for all Autonomous Regions, especially the Regional Government of Gorontalo Province in increasing public satisfaction. Policy Implementation of Diklatpim IV Pola Baru is expected to increase the competence of Civil Servants in order to improve the quality of public service.This research was conducted in Gorontalo Province aims to know how influence of policy implementation of Diklatpim IV Pola Baru to public service quality.The research method uses quantitative design with explanatory method. Data collecting using questionnaire technique which 84 respondents obtained by stratified random sampling from population which amounted to 520 units.Data analysis using Partial Least Square (PLS) with SmartPLS 3.1 software to test the measurement model and to know the significance of Policy Implementation of Diklatpim IV Pola Baru to Quality of Public Service.The result showed that the loading factor of Policy Implementation of Diklatpim IV Pola Baru to Quality of Public Service was not significant at 5% because the value of T-Statistic under the value of t table 1,96. Similarly, the value of P-Value 0,546 higher than the value of significance P-Value <0.05 and coefficient value 7,9% only, so that the hypothesis H0 accepted, H1 rejected.Thus, it can be concluded that although the level of Policy Implementation of Diklatpim IV Pola Baru is high and the level of public service quality is also high but Policy Implementation of Diklatpim IV Pola Baru has no significant effect to the Quality of Public Service.

scholarly journals PATIENT CENTEREDNESS IN HEALTH CARE: PERSPECTIVES FROM AN EMPIRICAL INVESTIGATION

2018 ◽  
Vol 11 (8) ◽  
pp. 450
Author(s):  
Rejikumar G ◽  
Archana Ks
Keyword(s):  
Health Care ◽  
Patient Satisfaction ◽  
Service Quality ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Patient Centeredness ◽  
Personalized Health

Objectives: The objective of this study was to examine the formation of wellness perceptions and satisfaction from antecedents that explain various attributes regarding service quality perceptions about doctors by patients. The topic is of contemporary relevance as health-care firms are reengineering their competencies to deliver personalized health services to for unmatched experience to develop long-term relationships with patients.Methods: Responses from 280 patients about service quality attributes of doctors, wellness perceptions, and their satisfaction are collected using a structured questionnaire. An exploratory factor analysis was performed using SPSS. 20 to identify significant dimensions of doctor’s service quality. The theoretical model developed with these dimensions, wellness perceptions, and patient satisfaction was estimated using partial least square-based structural equation modeling approach to test hypotheses about linkages among these constructs.Results: The dimension structure of doctor’s service quality contained constructs such as “price affordability of medicines,” “quality of diagnosis,” “interaction quality of doctor,” “appropriateness of tests prescribed,” and “quality of usage prescriptions.” These service quality dimensions of doctor significantly develop wellness perceptions and satisfaction among patients. Wellness perceptions act as a mediator in satisfaction development.Conclusions: Patient satisfaction and wellness perceptions are of primary importance in improving service quality in health care and to remain competitive. The health-care firms should train their professionals to interact with the patients more efficiently by adhering to the philosophy of patient centeredness in their service process.

scholarly journals Kepemimpinan Spiritual dan Reward Terhadap Kinerja Pegawai Melalui Kualitas Kehidupan Kerja Dan Kepuasan Kerja sebagai Variabel Intervenin

2020 ◽  
Vol 21 (2) ◽  
pp. 136-148
Author(s):  
Padmayuda Tri Rachmawan ◽  
◽  
Dwi Nita Aryani ◽  
Keyword(s):  
Job Satisfaction ◽  
Employee Performance ◽  
Spiritual Leadership ◽  
Least Square Method ◽  
Work Life ◽  
Partial Least Square ◽  
Least Square ◽  
Quality Of Work Life ◽  
Quality Of Work

The purpose of this study is to analyze the influence spiritual leadership and reward toward employee performance with quality of work life and job satisfaction as mediating variable. The object of research in this study is Pasuruan Regency Transportation Office. Data analysis uses the Partial Least Square method with the software of SmartPLS. Data is collected by distibuting questionnaire to all of 86 staff as the respondents. The results show Spiritual leadership does not affect the employee performance; reward has no effect on employee performance; Spiritual leadership does not affect employee performance mediated by the quality of work life; Reward cannot influence employee performance through the quality of work life as a mediating variable; Spiritual leadership does not have an effect on employee performance which is mediated by quality of work life; the indirect effect between reward on employee performance through mediating job satisfaction is significant; The quality of work life has insignificant effect on employee performance; Job satisfaction has a positive and significant effect on employee performance. The results give significant implications on practice and literature on the influence of spiritual leadership and reward on performance. This research provides information that can be used as a guideline for the Pasuruan Communication Office to increase employee satisfaction and performance

scholarly journals PENGARUH DAYA TARIK WISATA, KESELAMATAN, DAN SARANA WISATA TERHADAP KEPUASAN SERTA DAMPAKNYA TERHADAP LOYALITAS WISATAWAN : Studi Community Based Tourism di Gunung Api Purba Nglanggeran

2017 ◽  
Author(s):  
Hary Hermawan
Keyword(s):  
Path Analysis ◽  
Analytical Method ◽  
Tourism Development ◽  
Positive Influence ◽  
Partial Least Square ◽  
Least Square ◽  
Dominant Factor ◽  
Tourist Attraction ◽  
Community Based

Loyalty has become a serious concern for the managers of tourist villages because the loyalty of tourists is a guarantee of tourism business to be sustainable. The purpose of this study is to examine how the loyalty of tourists can be created by the factors of the tourist attraction, safety, and amenities, with loyalty as an intervening, on the model of Community-Based Tourism development in Gunung Api Purba Nglanggeran Tourism Village. The analytical method used is path analysis with Partial Least Square (PLS). The results showed that the tourist attraction is a dominant factor that gives a positive influence on the loyalty of tourists through intervention variable satisfaction. Other factors studied, namely safety and tourist facilities are not proven to affect the loyalty of tourists. This research recommends that loyalty of tourists can be achieved through efforts to improve the quality of tourist attraction.

scholarly journals Peningkatan Kesejahteraan Peternak Sapi Potong Sistem Bagi Hasil di Kecamatan Kulo, Kabupaten Sidenreng Rappang, Propinsi Sulawesi Selatan

2020 ◽  
Vol 2 (1) ◽  
pp. 1-6
Author(s):  
A Nugraha ◽  
I Syarif ◽  
F. R. Saputra
Keyword(s):  
Beef Cattle ◽  
Statistical Models ◽  
Partial Least Square ◽  
Least Square ◽  
Analysis Method ◽  
Cattle Production ◽  
Production Sharing ◽  
Beef Cattle Production ◽  
Collection Time

The purpose of this study was to determine the increase in welfare of beef cattle production sharing systems. Data collection time is from January to February 2020. The research was conducted in Kulo Subdistrict, Sidenreng Rappang District, Survey Research Methodology. A sample of 64 farmers was taken (total sampling). Data analysis method is testing statistical models using SEM SmartPLS (Partial Least Square) 2.0. The results of the study explained that the Improvement of Beef Cattle Farmers' Welfare Sharing in the District of Kulo could be done with strategies to improve the aspects of individual farmers, improve stakeholder relations, and improve the quality of farmers. 

scholarly journals PERSEPSI MAHASISWA ATAS KUALITAS PELAYANAN LABORATORIUM BANK MINI STIE KESATUAN DAN IMPLIKASINYA TERHADAP KEPUASAN MAHASISWA

2018 ◽  
Vol 2 (1) ◽  
pp. 13 ◽  
Author(s):  
Muhammad Ariffin ◽  
Suharmiati Suharmiati ◽  
Andi Yudha Amwilla
Keyword(s):  
Service Quality ◽  
Student Satisfaction ◽  
Least Square Method ◽  
Positive Influence ◽  
Partial Least Square ◽  
Least Square ◽  
Physical Evidence ◽  
Partial Least Square Method

The Purpose of  this research is to measure the influence of the service quality of Laboratorium Bank Mini on student’s satisfaction. This research was conducted in STIE Kesatuan Bogor with 100 respondents. Data were analyzed using partial least square method. The results showed that the Physical Evidence, Reliability, Responsiveness, Assurance and Empathy has a significant and positive influence on the student satisfaction of Laboratorium Bank Mini STIE Kesatuan.   Keywords: Service Quality, Student Satisfaction, Laboratorium Bank Mini.

“I Can Live Without Banks, but Not Without Banking”

2021 ◽  
Vol 17 (3) ◽  
pp. 1-20
Author(s):  
Nitika Sharma ◽  
Pooja Goel ◽  
Anuj Sharma
Keyword(s):  
Structural Equation ◽  
Information Quality ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Online Questionnaire ◽  
Website Quality ◽  
Mediating Role ◽  
Service Interaction

The purpose of this paper is to examine the antecedents of e-banking loyalty and evangelism via threefold construct of WEQUAL (usability, information quality, and service interaction) of public sector banks operating in India. Moreover, it also investigates the mediating role of consumers' trust on the website quality of these banks and their impact on e-banking loyalty and evangelism. The data was collected from 243 respondents through online questionnaire. In order to develop the model and test the hypotheses, partial least square structural equation modeling (PLS-SEM) was done through Smart PLS version 3.2.9. Results assert that website quality of banks positively influences the trust of consumers via usability, information quality, and service interaction. Also, consumer trust plays a mediation role between WEBQUAL constructs and e-banking loyalty and evangelism.

Comparison of Several Extreme Learning Machine Algorithm for Modeling Concrete Compressive Strength

2014 ◽  
Vol 548-549 ◽  
pp. 1735-1738 ◽  
Author(s):  
Jian Tang ◽  
Dong Yan ◽  
Li Jie Zhao
Keyword(s):  
Compressive Strength ◽  
Extreme Learning Machine ◽  
Prediction Accuracy ◽  
Partial Least Square ◽  
Least Square ◽  
Extreme Learning Machines ◽  
Concrete Compressive Strength ◽  
Learning Machines ◽  
Learning Machine

Modeling concrete compressive strength is useful to ensure quality of civil engineering. This paper aims to compare several Extreme learning machines (ELMs) based modeling approaches for predicting the concrete compressive strength. Normal ELM algorithm, Partial least square-based extreme learning machines (PLS-ELMs) algorithm and Kernel ELM (KELM) algorithm are used and evaluated. Results indicate that the normal ELMs algorithm has the highest modeling speed, and the KELM has the best prediction accuracy. Every method is validated for modeling concrete compressive strength. The appropriate modeling approach should be selected according different purposes.

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