Pengaruh Keteladanan Guru dan Orang Tua terhadap Sikap Kejujuran Siswa SMK Klaten, Jawa Tengah by Mulyati Mulyati, Mega Hidayati, Muhsin Hariyanto

“…The study used a survey design with descriptive correlation to which the quantitative approach was applied.  The sample of this study is 40 students of Senior Vocational School in Kalten, Central Java, Indonesia selected at random.  …”
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Modeling decision-making under uncertainty with qualitative outcomes. by Nachshon Korem, Or Duek, Ruonan Jia, Emily Wertheimer, Sierra Metviner, Michael Grubb, Ifat Levy

“…Modeling decision-making under uncertainty typically relies on quantitative outcomes. …”
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Predicting the glass transition temperature of polymer based on generative adversarial networks and automated machine learning by Zhanjie Liu, Yixuan Huo, Qionghai Chen, Siqi Zhan, Qian Li, Qingsong Zhao, Lihong Cui, Jun Liu

“…This study aims to create a quantitative structure–property relationship (QSPR) model linking SSBR's glass transition temperature (Tg) to its structural properties. …”
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The Development of Teachers’ Knowledge of the Nature of Mathematical Modeling Scale by Reuben Asempapa

“…The MMKS is a quantitative tool created to assess teachers’ knowledge of the nature of mathematical modeling. …”
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Development of a nomogram for predicting malignancy in BI-RADS 4 breast lesions using contrast-enhanced ultrasound and shear wave elastography parameters by Tiantian Ren, Zhenzhen Gao, Lufeng Yang, Weibo Cheng, Xiao Luo

“…Abstract This study aimed to develop a Least Absolute Shrinkage and Selection Operator (LASSO) logistic regression (LR) model using quantitative imaging features from Shear Wave Elastography (SWE) and Contrast-Enhanced Ultrasound (CEUS) to assess the malignancy risk of BI-RADS 4 breast lesions (BLs). …”
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Application of machine deep learning technology in tight sandstones reservoir prediction: A case study of Xujiahe Formation in Xinchang, western Sichuan Depression by QIAN Yugui

“…Sensitivity parameters related to pre-stack lithology and reservoir properties were used as learning samples. Pre-stack inversion techniques were combined with machine deep learning algorithms to construct an interpretation model. …”
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What is the effect of learning models and interests on study results? by Suratno Suratno, Muazza Muazza, Rahmat Murboyono, Devi Guspita

“…This study aims to determine whether there is a significant influence between the learning model (NHT and STAD) and student interest on learning outcomes. …”
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Multivariate modeling to assess user satisfaction in university libraries by Lidia Janeth Llacsa-Puma, Manuel Iván Tostado-Ramírez, Isaura Vanessa Peña-Vélez, Ángel Ramón Sabando-García

“…The purpose of the study was to evaluate the level of user satisfaction at the Pontificia Universidad Católica del Ecuador, using a multivariate model. A quantitative, correlational, comparative approach with a cross-sectional design was employed. …”
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Landslide Hazard Warning in Guangdong-Hong Kong-Macao Greater Bay Area Based on Historical Ranking Rainfall Threshold by JIN Yi, YU Haixia

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Presenting the Model of Effective Factors on Smart Governance in the Country by Ghaem Gheiravani, Mohammad Montazeri, Shams Sadat Zahedi

“…The results of the quantitative section showed that the model is of good quality. …”
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Enhancing well-being in hybrid work: the crucial role of organizational support for Indonesia’s State Civil Apparatus by Despinur Dara, Susan Febriantina, Suwatno Suwatno

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Designing a Smart Leadership Model for Education Managers by mehdi oliyaee, aliakbar ajam, Ahmad Akbari, turaj falah mehne

“…In the quantitative part, confirmatory factor analysis was first used, and then the relationships between the main indicators were identified using the structural equation model; and after confirming the relationships between the variables, an appropriate model was presented. …”
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Designing a Business Model in the Tourism Industry of Iran by Amirhossein Samadian, Saeid Ehdaie, kamyar Raissifar

“…However, due to the different spiritual values ​​that artists have compared to commercial values, it is difficult to increase productivity through the implementation of business model principles. Quantitative research examines the perceptions and subjective values ​​of visitors involved in local tourism (Zhang et al., 2023). …”
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Comparison of sedentary time, number of steps and sit-to-stand-transitions of desk-based workers in different office environments including working from home: analysis of quantitat... by Martha Sauter, Eva Backé, Carina Pfab, Michaela Prigge, Claudia Brendler, Falk Liebers, Peter von Löwis, Andrea Pfeiffer, Falko Papenfuss, Janice Hegewald

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Benchmarking of Large Language Models for the Dental Admission Test by Yu Hou, Jay Patel, Liya Dai, Emily Zhang, Yang Liu, Zaifu Zhan, Pooja Gangwani, Rui Zhang

“…Quantitative analysis was performed to assess model accuracy in different sections, and qualitative thematic analysis by subject matter experts examined specific challenges encountered by the models. …”
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The Taliban Strategic Model of the Second State Building in Afghanistan by Abdolreza Alishahi, Neda Hasanpuor, Karam Sina

“…Quantitatively, to evaluate the model, a researcher-made questionnaire with available sampling method was distributed among 90 people from the samples. …”
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Human capital and organisational outcome:  mediation and moderation model by Sri Palupi Prabandari, Masyhuri Masyhuri, Setya Ayu Rahmawati

“… Purpose – This study aims to investigate organisational values as moderators and  playful work design as mediators in the relationship between human capital and organisational outcomes in service industry in Indonesia, utilizing quantitative analysis. Research methodology – Purposive sampling was used to retrieve data from 305 respondents using a self-reported questionnaire. …”
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Evaluation of agricultural extension model sites approach in Iran by Malihe Salehi, Enayat Abbasi, Masoud Bijani, Mohammad Reza Shahpasand

“…The samples included 150 main and follower farmers from a total number of 40 model sites and 37 subject-matter experts selected using the random and purposive sampling methods, respectively. …”
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Mito-fission gene prognostic model for colorectal cancer by Chao Liu, Sheng Xu, Yuanyuan Liu, Zhixing Lu, Jianrong Yang

“…Next, DE-MFRGs were subjected to univariate Cox, least absolute shrinkage and selection operator (LASSO), multivariate Cox and stepwise regression analysis to scree hub genes and to construct the risk model. The risk model was validated in GSE103479. …”
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End User Computing Satisfaction : Model Analisis Kepuasan Pengguna Aplikasi Menggunakan Partial Least Square Structural Equation Modeling (Studi Kasus) by Aditia Angga Perdana, Meinarini Catur Utami, Qurrotul Aini

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