The factors affecting accessibility to credit capital of small and medium enterprises in Vietnam by Phung The Dong, Nguyen Thi Hong Nham

“…Although the coefficients, estimated from Logistics model are larger than those estimated from the Probit model, the estimated results show that the direction of impact of the variables in two estimation techniques gives quite similar results.Conclusion. …”
Get full text

Exploring the prognostic significance and therapeutic potential of SUCLG2 in prostate cancer by Bao Hua, Qing Yang, Shangqing Song, Wenfeng Li, Bin Xu, Yufei Gu

“…Furthermore, quantitative real-time polymerase chain reaction and immunofluorescence assays were performed to validate SUCLG2 expression in clinical samples and the prostate carcinoma epithelial cell line 22Rv1.ResultsOur findings revealed that lipid metabolism-related genes, including SUCLG2, have significant prognostic value, based on a 16-gene risk model constructed that accurately predicted PCa prognosis. …”
Get full text

Field survey and evaluation method for fouled ballast using transmitted sound characteristics by Takahisa Nakamura, Takahiro Kageyama

“…Grain-size analysis is necessary to quantitatively evaluate the ballast condition at field spots by sampling the field ballast, and currently, the ballast condition is generally checked visually. …”
Get full text

Computational Analysis Method for Multi-subject Behavior in Public Spaces Based on Targeted Computer Vision Tracking by Chao YAN, Siyan LIU, Shanshu HE, Leiqing XU

“…ObjectiveQuantitative analysis of children’s behaviors has emerged as a new requirement in the research on urban public spaces. …”
Get full text

Distribution of unfrozen water and evolution of temperature-stress field during freeze-thaw of liquid nitrogen in heterogeneous coal by Lei QIN, Xian ZHANG, Haifei LIN, Weikai WANG, Botao LI, Pei WANG, Shugang LI

“…By comprehensively measuring T1−T2 spectrum, T2 curve and 3D peak map, the pore structure and spatial evolution law of unfrozen water distribution in the freezing and thawing process of coal samples are quantitatively analyzed. The experimental results show that the freezing time has different effects on the spatial evolution of different fluid distribution in the pores during the freezing process of liquid nitrogen. …”
Get full text

Prognostic feature based on androgen-responsive genes in bladder cancer and screening for potential targeted drugs by Jiang Zhao, Qian Zhang, Cunle Zhu, Wu Yuqi, Guohui Zhang, Qianliang Wang, Xingyou Dong, Benyi Li, Xiangwei Wang

“…Drug sensitivity analysis was performed using Genomics of drug sensitivity in cancer (GDSC). Real-time quantitative PCR was performed to assess the expression of representative genes in clinical samples. …”
Get full text

Pengaruh Brand Image terhadap Keputusan Pembelian melalui Brand Trust Sebagai Variabel Mediasi pada Produk Skincare Lokal by Diva Aurellia, Helena Sidharta

“…In order to collect research data, 90 questionnaires are distributed to respondents who are 17 to 25 years old, domicile in Surabaya, and local skincare users. Sampling is done with purposive sampling method. The measurement model in this research is analyzed by using SmartPLS 3.0 application. …”
Get full text

Study on the Microscopic Mechanism of Spontaneous Combustion and Oxidation Kinetics of Water-Leached Coal by Naifu Cao, Gang Wang, Yuntao Liang

“…The difficulty of spontaneous combustion of coal samples has been correspondingly addressed. A kinetic model from the perspective of oxygen consumption has been proposed. …”
Get full text

Optimizing Attenuation Correction in ⁶⁸Ga-PSMA PET Imaging Using Deep Learning and Artifact-Free Dataset Refinement by Masoumeh Dorri Giv, Guluzar Ozbolat, Hossein Arabi, Somayeh Malmir, Shahrokh Naseri, Vahid Roshan Ravan, Hossein Akbari-Lalimi, Raheleh Tabari Juybari, Ghasem Ali Divband, Nasrin Raeisi, Vahid Reza Dabbagh Kakhki, Emran Askari, Sara Harsini

“…Compared to the model trained on unfiltered data, the purified data model showed enhanced quantitative accuracy and robustness in external validation. …”
Get full text

Factors affecting dividend payment policy in Indonesian banking sectors moderated by return on assets by Dwi Susilowati

“…Observation data of 90 were taken from 18 banks as samples selected using a purposive sampling technique. …”
Get full text

A Study to Investigate the Relationship between the Perfectionist Level and Self –Esteem Level of Academicians Working at Universities by Anıl Görkem

“…In the research, relational scanning model, one of the quantitative research methods, was used. …”
Get full text

Review Of The Emotional Intelligence And Self-Leadership Levels Of Students At The Faculty Of Sports Sciences by Hamdi Pepe, Rumeysa Alper, Özlem Yalçın

“…This study aims to determine the emotional intelligence and self-leadership levels of the students of the sport science faculty. The general scan model is a quantitative study used. The data collection tools to be used in research are the scale-short form of emotional intelligence by Deniz et al. (7) developed by Petrides and Furnham (21, 22) to reveal the emotional intelligence of individuals. …”
Get full text

Development of Teaching Materials for the Interpretation of the Tarbawi Hadith for Early Childhood Based on the Internalization of Islamic Values by Yenni Yunita, Raihana Raihana, Musaddad Harahap, Dian Namora

“…The population in this study was all students of Early Childhood Islamic Education, Faculty of Islamic Religion, Riau Islamic University, totaling 60 people. The sampling technique used was purposive sampling, by selecting 30 students. …”
Get full text

Ease of Use and Attitude to Optimize Purchase Intention: Study of Ride-Hailing Consumers by Siska Rahmawati, Endy Gunanto Marsasi

“…The research applied a quantitative methodology and purposive sampling technique, collecting 176 samples. …”
Get full text

ADMM-TransNet: ADMM-Based Sparse-View CT Reconstruction Method Combining Convolution and Transformer Network by Sukai Wang, Xueqin Sun, Yu Li, Zhiqing Wei, Lina Guo, Yihong Li, Ping Chen, Xuan Li

“…Methods: Therefore, this paper proposes a combination of model-driven and data-driven methods, using the ADMM iterative algorithm framework to constrain the network to reduce its dependence on data samples and introducing the CNN and Transformer model to increase the ability to learn the global and local representation of images, further improving the accuracy of the reconstructed image. …”
Get full text

Aprendizaje cooperativo y entrenamiento en suspensión en Educación Secundaria: Incidencia en las necesidades psicológicas básicas (Cooperative learning and suspension training in S... by Fernando Martin-Lozano, Abraham García-Fariña, Francisco Jiménez Jiménez

“…The quantitative data was subjected to descriptive analysis and applied the Wilcoxon non-parametric test for related samples. …”
Get full text

AI‐Based Digital Rocks Augmentation and Assessment Metrics by Lei Liu, Bernard Chang, Maša Prodanović, Michael J. Pyrcz

“…While AI‐based data augmentation may assist the model training, it still requires many training images as well as the quality assessment of generated data. …”
Get full text

User Experiences in Over-The-Top (OTT) Streaming Media Platform Services by PRABHAVATHY R., SenthilKumar S

“…The majority of research on initial adoption intentions lacks an entire model that includes technological, social, and psychological aspects. …”
Get full text

Identification of Endoplasmic Reticulum Stress-Related Biomarkers in Coronary Artery Disease by Yuanyuan Lin, Lin Ni, Luqun Yang, Hao Li, Zelin Chen, Yuping Gao, Kaiyi Zhu, Yanni Jia, Zhifang Wu, Sijin Li

“…In addition, eight biomarkers were significantly different in both CAD and control samples, CRH and HRC were upregulated in CAD. The quantitative reverse transcription-polymerase chain reaction (qRT-PCR) showed that RCN2, HRC, DERL2, CRH, and IL1A were consistent with the bioinformatics analysis. …”
Get full text

Study on Thermal Conductivity Prediction of Granites Using Data Augmentation and Machine Learning by Yongjie Ma, Lin Tian, Fuhang Hu, Jingyong Wang, Echuan Yan, Yanjun Zhang

“…A data augmentation strategy combining cubic spline interpolation and Gaussian noise injection (with noise intensity set to 10% of the original data feature range) was proposed, expanding the original 47 samples to 150. Thermal conductivity prediction models were constructed using Support Vector Machine (SVM), Random Forest (RF), and Backpropagation Neural Network(BPNN). …”
Get full text