Study into optimizing the temperature regime for the reduction of Fischer–Tropsch synthesis catalysts by I. G. Solomonik, V. Z. Mordkovich, A. S. Gorshkov

“…The work set out to investigate the potential for developing an efficient cobalt catalyst for Fischer–Tropsch synthesis through low-temperature activation by reduction in hydrogen directly in the synthesis reactor. …”
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Optimizing throughput in multi-aisle automated storage and retrieval systems: a comprehensive analysis of performance under generally distributed fully sequenced orders through mer... by Michael Eder

“…This paper proposes a method to accurately determine the throughput of a multiple-aisle automated storage and retrieval system. …”
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IMPROVEMENT EFFECT RELIABILITY RESEARCH ON SINGLE LAYER THICK-WALLED INTERNAL PRESSURE CYLINDER DESIGN FORMULAS by LIU XiaoNing, LIU Cen, LIU Bing, LI Qing, YUANG XiaoHui, CHEN Gang

“…Establishing evaluation index and method of design formula improvement effect is an important basis in selecting and determining the design formula. …”
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Design Parameter Optimization of Self-centering Pier Based on Deep Learning by Weike ZHANG, Zhengnan LIU, Xingchong CHEN, Jiawei TANG

“…The AHP-entropy weighting method considers subjective and objective factors when determining the weight coefficients among targets. …”
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Development and validation of an explainable machine learning model for predicting postoperative pulmonary complications after lung cancer surgery: a machine learning studyResearch... by Shaolin Chen, Ting Deng, Qing Yang, Jin Li, Juanyan Shen, Xu Luo, Juan Tang, Xulian Zhang, Jordan Tovera Salvador, Junliang Ma

“…This study aimed to develop and validate an explainable machine learning (ML) model to predict PPCs in patients with LC undergoing surgery. Methods: A risk factor variable pool was determined by meta-analysis and Delphi surveys. …”
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Cross-Regional Pavement Temperature Prediction Using Transfer Learning and Random Forest by Jiang Yuan, Huailei Cheng, Lijun Sun, Yadong Cao, Ruikang Yang, Tian Jin, Mingchen Li

“…Further validation revealed that the determination coefficient exceeded 0.94 and the mean absolute error remained below 2.3 °C at all depths. …”
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Assessing the impact of pozzolanic materials on the mechanical characteristics of UHPC: analysis, and modeling study by Diar Fatah Abdulrahman Askari, Sardam Salam Shkur Shkur, Azad Abdwlqader Mohammed, Hersh F. Mahmood, Brwa Hamah Saeed Hamah Ali, Soran Abdrahman Ahmad

“…The performance of the proposed models is then evaluated using statistical tools such as the Coefficient of Determination (R2), Scatter Index (SI), Root Mean Square Error (RMSE), and Mean Absolute Error (MAE) to identify the most reliable method for predicting the compressive strength of UHPC. …”
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Age features of lipid peroxidation and antioxidant protection processes in girls and women tofalar ethnic groups by L. I. Kolesnikova, M. A. Darenskaya, V. V. Dolgikh, V. A. Shenin, S. V. Dutova, L. A. Grebenkina, M. I. Dolgikh

“…Spectrophotometric, fluorometric and statistic methods (Student’s parametrical criterion and Fisher's coefficient) were used. …”
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The Use of Infectious Diseases Hospital Resources During the COVID-19 Epidemic Depending on Patient Characteristics by V. Ya. Kiselevskaya-Babinina, K. A. Popugaev, V. A. Molodov, I. V. Kiselevskaya-Babinina

“…Sklifosovsky Research Institute for Emergency Medicine (the Institute) and the characteristics of admitted patients with COVID-19 in order to determine the factors that are important for improving the medical care provision.Material and methods. …”
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MANAGING FRAUD IN CONTEMPORARY BUSINESS ENVIRONMENT, THE ROLE OF INFORMATION SECURITY MANAGEMENT: A STUDY OF QUOTED DEPOSIT MONEY BANKS (DMBs) IN NIGERIA by Onajero Kensington OHWO

“…Cronbach’s alpha reliability coefficients for the constructs ranged from 0.864 to 0.952. …”

sPD-1/sPD-L1 proteins in non-small cell lung cancer and esophageal squamous cell carcinoma by I. S. Stilidi, O. V. Kovaleva, A. N. Gratchev, E. M. Tchevkina, P. A. Podlesnaya, P. V. Tsarapaev, E. A. Suleymanov, N. E. Kushlinskii

“…A correlation analysis was performed using the Spearman’s rank correlation coefficient. Overall survival was analyzed by constructing survival curves using the Kaplan – Meier method and a Cox proportional hazards model. …”
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Investigation of The Body Composition And Maximal Oxygen Consumption Capacity Of Elite Boxing And Wrestling Athletes by Erkan Tortu, Bihter Akınoğlu, Adnan Hasanoğlu, Tuğba Kocahan, Banu Kabak, Aydin Balcı

“…The statistical significance level was determined as p lt;0.05. There was not any difference in body weight, body fat percentage, and relative oxygen consumption values of boxing and wrestling athletes (p gt; 0.05); however, there were statistically significant differences in the Body Mass Index, muscle mass, absolute oxygen consumption, carbon dioxide production, respiratory coefficient, and heart rate values (p lt;0.05). …”
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Changes in land use and ecosystem services in Sahand dam using remote sensing technique by Farhad Nouri Najafi, Hadi Veisi, Reza Mirzaee

“…The maximum possibility of different land uses and cover were determined using supervised classification method and their accuracy checked again by field inspection. …”
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Prevalence of Depression Symptoms and its related Factors in School Students by Khadijeh Jahangasht, Shahla Asiri, Sedigheh Pakseresht, Ehsan Kazemnejad Leili

“…Using cluster random sampling method, 26 schools and from each class in every school, 24 students were selected. …”
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Fecal zonulin as a prognostic marker of atopic march in children with food allergy by N. G. Prikhodchenko, T. A. Shumatova, D. V. Kovalenko

“…In all children, when the diagnosis was made in the first year of life, the content of zonulin in feces was determined using the ELISA method.Results. As a result of dynamic observation, all children with food allergy were divided into 2 groups: the first group consisted of children with food allergy who developed allergic rhinitis and/or bronchial asthma within 5 years (group I, n = 39), group 2 consisted of 34 children with food allergy who did not implement the atopic march within 5 years of observation (group II, n = 34). …”
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Deep learning for property prediction of natural fiber polymer composites by Ivan P. Malashin, Dmitry Martysyuk, Vladimir Nelyub, Aleksei Borodulin, Andrei Gantimurov, Vadim Tynchenko

“…Mechanical properties (tensile strength, modulus, elongation at break, impact toughness) were measured per ASTM standards, and density was determined by Archimedes’ method. Using 180 experimental samples, augmented up to 1500 using bootstrap technique, several regression models–linear, random forest, gradient boosting, DNNs–were developed to predict mechanical behavior. …”
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Radiologic and surgical peritoneal cancer index in patients with low grade serous ovarian carcinoma by Rachel R. Pacyna, Leah Thomas, Nisa C. Oren, Josephine S. Kim

“…PCI was calculated based on the Sugarbaker method (Harmon & Sugarbaker, 2005). A blinded radiologist calculated CT-PCI scores. …”
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Magnetic Resonance Imaging Combined with Serological Markers Improves the Diagnosis of Placenta Previa with Placenta Accreta Spectrum by Ying Wang, Zhengdong Hou, Bingqing Xia, Xianjing Xie, Ying He

“…The serum levels of AFP, CK, and sFlt-1 were measured, and optimal diagnostic thresholds were determined using receiver operating characteristic (ROC) curve analysis. …”
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EFFECT OF IRRIGATION INTERVAL ON GROWTH AND ARTEMISININ CONTENT OF WORMWOOD (Artemisia annua L.) CHEN YOUNG VARIETY IN SOKOTO by Lawal Gandi ABDULKADIR, Adamu Aliyu ALIERO, Hassan Muhammad MAISHANU, Abdullahi Yahaya ABBAS

“…Results were calculated using the peak areas with determination coefficient (R2) of 0.951. Results revealed that W2 days irrigation interval had significantly (p<0.05) affected fresh weight, dry weight, stem diameter and root length during the EVS. …”
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Econometric assessment of the effect of Small and medium enterprises on economic development (The ase of Azerbaijan) by S. Orujov, E. Alakbarov, J. Maharramov

“…To this end, we use Arellano-Bond estimator which is also called Generalized Method of Moments Instrumental Variable estimator. …”
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