Combination of dynamic and kinematic vector perturbations of beams by A. M. Kaziev, Z. R. Likhov, A. Ya. Dzhankulaev, I. Yu. Kumyshev, G. A. Shigalugov

“…The author's development can be adapted to vibrations of bars of variable cross section, to vibrations of continuous-discrete bars. …”
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Pengaruh Volume Pembiayaan Bagi Hasil Dan Pembiayaan Murabahah Terhadap Kinerja Keuangan Bank Umum Syariah Periode 2015-2020 by Celine Quatro, Asnaini Asnaini, Aminah Oktarina

“…The results of this study indicate that the R square value is 0.0362370 indicating that 36% of changes in the ROA variable can be explained by independent variables and 64% are explained by other factors outside the model..…”
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The Effect of Halal Labeling, Prices, and Certification on Consumer Interest in Buying MSME Businesses (Case Study: MSME Lazzato Muchtar Basri) by Tara Amriadi, Dahrani Dahrani

“…This is shown by the results of the partial test (t-test) related to the price variable, which reveals a value of 0. 001, which is less than zero. …”
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Comparing Machine Learning Algorithms to Enhance Volumetric Water Content Prediction in Low-Cost Soil Moisture Sensor by Iman Setiawan, Mohammad Dahlan Th. Musa, Dini Aprilia Afriza, Siti Nur Hafidah

“…On the other hand, indirect measurement offers remote measurement that will facilitate the user but lacks in accuracy. This research aims to compare and identify the best machine learning model that can improve indirect measurement (soil moisture sensor prediction) using direct measurement (gravimetric test) as a response variable. …”
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Analysis of factors affecting employee performance by Yusuf Ronny Edward, Nagian Toni, Erina Alimin

“…Performance of working employees determines how far a company advances. This study aims to examine the variables that affect employees' productivity at PT Z. …”
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The Effect of Sex Differences and Experience of Using Virtual Reality on Presence by Dian Putrawangsa, Clara Theresia, Thedy Yogasara, Yansen Theopilus

“…This study found that the sex variable affects a person's presence when playing VR, especially spatial score on the IPQ test, where women have a higher marginal means value than men. …”
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The Effect of Working Environment and Motivation towards Labors’ Performance: A Case Study in Aceh at PT Pupuk Iskandar Muda by Iskandar Hasanuddin, Mohd. Iqbal, Suparno ., Raja Arifin Ghazilla, Friesca Erwan

“…Based on data analysis that uses double regression (linear), it shows that the relationship between the independent variables towards the dependent variable is with R square value 46.8%. …”
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Standardizing differential scanning calorimetry (DSC) thermal decomposition temperatures at various heating rates of an energetic material as a threshold one by Chun-jie Zuo, Chao-yang Zhang

“…Thereby, Tp/o,β→0, as a single value of DSC test of one EM, benefits for thermal stability study.…”
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Study of Multiple Regression Modal between Soil Properties and Colony-forming Unit Collected from Diverse Regions of Rajasthan, India by Himanshi Mangla, Saurabh Dave, Smita Jain, Hardik Pathak

“…Aim: This study was done to predict the relation between soil properties and colony-forming unit (CFU) at different landscape positions from observed values using simplified regression models. …”
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Analisis Motivasi Terhadap Hasil Belajar Mata Kuliah Bola Basket by Agus agus Sutriawan, Muhammad Akbar Syafruddin, M. Imran Hasanuddin

“…The results of data analysis obtained a Sig value. equal to 0.000 or <0.05, which shows that the motivation variable influences the learning outcomes of the basketball course, with an influence proportion of 61%. …”
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Company Size, Profitability, Tax, And Good Corporate Governance On The Company’s Decision To Transfer Pricing (Empirical Study on Manufacturing Companies Listed on the Indonesia St... by Atwal Arifin, Africo Al-Dua Saputra, Heppy Purbasari

“…The dependent variable in this study is transfer pricing which is proxied by the value of the related party transaction sale. …”
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Subradiance Generation in a Chain of Two-Level Atoms with a Single Excitation by Nicola Piovella

“…This can be achieved by finding the eigenvalues <i>N</i> of the Hamiltonian or by evaluating the expectation value of the Hamiltonian on a generalized Dicke state, depending on a continuous variable <i>k</i>. …”
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Optimization of Ultrasonic Rehydration Conditions of Dried Tomatoes by İsa Hazar, Aslıhan Demirdöven

“…The optimization of ultrasonic (37 kHz) rehydration conditions were performed with independent variables at different temperatures (20-80°C), time (2-60 min) and water ratios (1/50-1/100 g/g water), and rehydration ability, color a* (redness) and texture values were selected as responses (dependent variable). …”
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Research on Passenger Flow Assignment of High-Speed Trains Based on Personalized Itinerary Choice by Jinzi Zheng

“…Different from the classical researches on the passenger flow assignment, by introducing a variable that represents the value of time, this research allows passengers to make their personalized choice between the principles of time minimization and expense minimization, so as to demonstrate how the passengers holding different time values respond to each ticket fare scheme. …”
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Procrastination and its effect on English writing errors and writing performance of medical students by Reza Kafipour, Samaneh Jafari

“…Finally, procrastination contributed to all four types of errors made by the students as the dependent variable’s variance value correlated significantly with all the independent variables. …”
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ESTIMATION OF MAXIMUM LIKELIHOOD WEIGHTED LOGISTIC REGRESSION USING GENETIC ALGORITHM (CASE STUDY: INDIVIDUAL WORK STATUS IN MALANG CITY) by Dahlia Gladiola Rurina Menufandu, Rahma Fitriani, Eni Sumarminingsih

“…The Genetic algorithm is an optimization computational algorithm that is used to optimize the estimation of model parameters. This study aims to estimate the Maximum Likelihood Weighted Logistic Regression with the applied genetic algorithm and determine the significant variables that affect the working status of individuals in Malang City. …”
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Multiomic quantification of the KRAS mutation dosage improves the preoperative prediction of survival and recurrence in patients with pancreatic ductal adenocarcinoma by Won-Gun Yun, Daeun Kim, Youngmin Han, Wooil Kwon, Seong-Geun Lee, Jin-Young Jang, Daechan Park

“…For clinical use, it is necessary to focus on key genes and integrate them with relevant clinical variables. We aimed to evaluate the prognostic value of the dosage of the KRAS G12 mutation, a key pancreatic ductal adenocarcinoma (PDAC) variant and to investigate the biological mechanism of the prognosis associated with the dosage of the KRAS G12 mutation. …”
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Association of LDL‐C/HDL‐C Ratio With Hyperuricemia: A National Cohort Study by Yanyu Zhang, Xiaoyi Liu, Deyun Luo, Bingli Chen, Chenyi Lai, Chenyu He, Luo Yan, Haifeng Ding, Shiyang Li

“…ABSTRACT Hyperuricemia (HUA) is a metabolic abnormality syndrome caused by disorders of purine metabolism. This study aimed to investigate the predictive value of the low‐density lipoprotein cholesterol to high‐density lipoprotein cholesterol ratio (LHR) for the risk of developing HUA. …”
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Metodología para estimar el coeficiente de heterogeneidad del suelo, el número de repeticiones y el tamaño de parcela en investigaciones con frijol (Phaseolus vulgaris L.) Methodol... by Víctor Manuel Mayor-Durán, Matthew Blair, Jaime Eduardo Muñoz

“…Teniendo como referencia el valor de b estimado a partir de la metodología de Federer (1963) se recurrió a la metodología de Hatheway (1961) para encontrar la mejor combinación de tamaño de parcela, número de repeticiones y diferencia a detectar como porcentaje de la media.<br>With the aim to estimate the coefficient of soil heterogeneity (b) without performing tests of uniformity, we proposed a methodology to use data from yield experiments insolating the treatment effect of the response variable. …”
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Inclusion of hypocretin-1 improved performance of poor sleep quality prediction for elderly patients with acute ischemic stroke: a prospective cohort study by Ting Fu, Weiwei Zhang, Rongrong Guo, Shuang He, Saiying Yu, Huiying Wang, Yunfeng Zhang, Ying Wu

“…The optimal cutoff value for hypocretin-1 was 74.94 pg/mL. Adding hypocretin-1 (as binary variable) significantly improved the model performance greatly, as the AUC increased from 0.799 to 0.857 (p &lt; 0.001).ConclusionReduced cerebrospinal fluid levels of hypocretin-1 at admission were an independent poor sleep quality predictor and the model demonstrated superior performance. …”
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