The pressure of academic stress and self-efficacy among student by Ilham Khairi Siregar, Permata Sari, Mohamad Rizal Pautina, Ryan Hidayat Rafiola

“…The sampling technique used is proportional to stratified soak sampling. The statistical model used in this study is the Pearson correlation. …”
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Intratumoral Variations in DNA Ploidy and S-Phase Fraction in Human Breast Cancer by Conny Arnerlöv, Stefan O. Emdin, Stefan Cajander, Nils‐Olof Bengtsson, Björn Tavelin, Göran Roos

“…., tumor populations with different DNA indices (DIs) seen in different samples was 44%. A statistical model defining SPF heterogeneity is proposed. …”
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Predictors of poor psychological functioning of healthcare workers based in Greece during the COVID-19 pandemic by Basant K. Puri, Anastasia Miari, Maria Theodoratou

“… # Results The statistical model (p \< 10^-10^) indicated that smoking or taking drugs to calm anxiety, feeling ashamed, and being overwhelmed by one's feelings were all predictors of poor psychological functioning. …”
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Fast binary logistic regression by Nurdan Ayse Saran, Fatih Nar

“…This study presents a novel numerical approach that improves the training efficiency of binary logistic regression, a popular statistical model in the machine learning community. Our method achieves training times an order of magnitude faster than traditional logistic regression by employing a novel Soft-Plus approximation, which enables reformulation of logistic regression parameter estimation into matrix-vector form. …”
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A core-shell magnetic layered double hydroxide composite material for the effective decolorization of phenol red by Şakir Yılmaz

“…Furthermore, the statistical model obtained from BBD was sufficient to estimate the PR decolorization on Fe3O4/NiMn-LDH (p &lt; 0.0001). …”
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Model-Independent 3D Descriptors of Vertebral Cancellous Bone Architecture by Ian H. Parkinson, Danielle Forbes, Peter Sutton-Smith, Nicola L. Fazzalari

“…The addition of connectivity density, trabecular separation, and structural model index, in a multiple regression statistical model, improves the explanatory power to 77%. …”
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Low-Resource Active Learning of Morphological Segmentation by Stig-Arne Grönroos, Katri Hiovain, Peter Smit, Ilona Rauhala, Kristiina Jokinen, Mikko Kurimo, Sami Virpioja

“…We study how to create a statistical model for morphological segmentation with a large unannotated corpus and a small amount of annotated word forms selected using an active learning approach. …”
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Wear - Sediment Quantity Correlation Model for Preventive Maintenance Scheduling of a Hydroelectric Power Plant by Kleber Zhañay, Cristian Leiva, Erika Pilataxi, William Quitiaquez

“…The result of the correlation statistical model determined the preventive maintenance for improvement conditions of 98 % of the availability in the hydroelectric power plant and is reflected in the reduction of days of no electricity generation. …”
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Differential game theory application in models of trade relations of Great Britain with Portugal and Russia with Belarus by I. V. Korolyov

“…The problem of the lack of statistical information (base) is reduced to the study of not absolute, but relative values of phase variables, which is guaranteed by the stable structure of the corresponding economic and statistical model. The conclusions can be useful for undergraduate and postgraduate students of economic and mathematical profile. …”
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Position Verification in Connected Vehicles for Cyber Resilience Using Geofencing and Fuzzy Logic by Maria Drolence Mwanje, Omprakash Kaiwartya, Abdallah Naser

“…Previous attempts to verify location information have used specific hardware, traffic parameters, and statistical model-based techniques dependent on neighbouring vehicles and roadside infrastructure and whose judgements can be influenced by untrustworthy entities. …”
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Design of experiments at bench tests of fuel supplying apparatus by E. V. Shendaleva, Kh. I. Khalimov

“…The experiment design use for combustion unit statistical model creation and uncertainty finding of fuel consumption measurement is offered…”
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Unsupervised data imputation with multiple importance sampling variational autoencoders by Shenfen Kuang, Yewen Huang, Jie Song

“…During the learning step, the mixture components are represented by multiple separate encoder networks, which are later combined through simple averaging to enhance the latent representation capabilities of the VAEs when dealing with incomplete data. The statistical model and variational distributions are iteratively updated by maximizing the Multiple Importance Sampling Evidence Lower Bound (MISELBO) on the joint log-likelihood. …”
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Investigating the Feasibility of Statistically Measuring Anxiety using Wireless Electromyography Sensor via Wireless Personal Communication by Ikram-e-Khuda, Tahira Rafique, Maria Amjad, Syed Sheraz Ul Hasan Mohani

“…Analysis showed significant difference in EMG activity between stresses and unstressed states. The obtained statistical model thus provided a true measure of anxiety with linear coefficients that are statistically significant at 95% confidence interval (CI). …”
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Statistical Prediction of the South China Sea Surface Height Anomaly by Caixia Shao, Weimin Zhang, Chunjian Sun, Xinmin Chai, Zhimin Wang

“…Results indicate that the valid forecast time of SCS SSHA of the statistical model is about 7 months, and the predictability of SCS SSHA in Spring and Autumn is stronger than that in Summer and Winter. …”
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A flexible way to study composites in ecology using structural equation modeling by Xi Yu, Florian Schuberth, Jörg Henseler

“…Consequently, conceptual models can be more adequately represented by the statistical model using this specification. To demonstrate these advantages, we provide an ecological illustrative example including the R code to reproduce our results. …”
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Salivary Metabolomics Fingerprint of Chronic Apical Abscess with Sinus Tract: A Pilot Study by Noemi Montis, Elisabetta Cotti, Antonio Noto, Claudia Fattuoni, Luigi Barberini

“…Subsequently, in order to compare the two groups, a multivariate statistical model was built that resulted to be statistically significant. …”
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Bioharvesting and improvement of nano-silica yield from bagasse by irradiated Curvularia spicifera by Amira G. Zaki, Samah A. Yousef, Yasmeen A. Hasanien

“…The attained SNps’ size ranged from 30.6–130.4 nm depending on the biotransformation conditions employed in the statistical model, which is available for numerous applications. …”
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OWNERSHIP CONCENTRATION’S MODERATING EFFECT ON DIVIDEND PAYOUT AND TOBIN’S Q OF LISTED CONSUMER GOODS FIRMS IN NIGERIA by Ovbe Simon Akpadaka

“…Utilizing a ex-post facto research design, and fixed effects regression for the statistical model to control for unobserved heterogeneity withing firms over time, ensuring a robust examination of the relationships under study. …”
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Reinspecting the Climate-Crop Yields Relationship at a Finer Scale and the Climate Damage Evaluation: Evidence from China by Yongbin Zhu, Yajuan Shi, Changxin Liu, Bing Lyu, Zhenbo Wang

“…This paper reinvestigated the climate-crop yield relationship with the statistical model at crops’ growing stage scale. Compared to previous studies, our model introduced monthly climate variables in the production function of crops, which enables separating the yield changes induced by climate change and those caused by inputs variation and technique progress, as well as examining different climate effects during each growing stage of crops. …”
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Influence of fused deposition modelling printing parameters on tablet disintegration times: a design of experiments study by Kreft Klemen, Stanić Tijana, Perhavec Petra, Dreu Rok, Lavrič Zoran

“…Lastly, layer height did not influence the disintegration time. A statistical model with accurate fit (R2 = 0.928) and predictability (Q2 = 0.847) was created. …”
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