Validation of Depth-Averaged Flow Model Using Flat-Bottomed Benchmark Problems by Il Won Seo, Young Do Kim, Chang Geun Song

“…The mass conservation rate was determined to be 99.2%. This value was measured by the variation of the total volume of the fluid after a cylinder break. …”
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The Development of Acid-Base Self-Efficacy Perception Scale and the Investigation of Pre-Service Science Teachers’ Self-Efficacy Perceptions on Acid-Base by Nail İlhan, Özge Çiçek

“…It’s believed that determining the teachers’ perception of self-efficacy regarding related to science/chemistry subjects in classes is important. …”
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Numerical Simulation for Prediction of Wetness Content in Wet Steam for Convergent - Divergent Nozzle by HUSSEIN WHEEB MASHI

“…      This research is to find a wetness using the (laser beam) optical Forward Scattering Method (F.S.M.) which is applicable to calculate the wetness in a convergent-divergent De-Laval steam nozzle operating (1.3 Mach number) which may be works at wet steam with pressure (1) bar and temperature (373) K .The light source of He-Ne laser of wave light (λ=0.632) µm was used to prediction the wetness in nozzle a wet steam flow. …”
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Studies of the Electrical Resistivity Tomography Monitoring of the Issyk-Ata Fault Zone (Northern Tien Shan) by Rybin Anatoly, Bataleva Elena, Zabinyakova Olga, Nepeina Kseniia

“…Using the analysis of difference pseudo-sections of apparent resistivity, constructed based on the results of ERT monitoring, the most informative pseudo-depth interval from the point of view of geoelectric activity was determined for all three monitoring profiles. Accordingly, for a pseudo-depth of 24 m on each monitoring profile, an assessment was made of the geodynamic activity of these sections of the Issyk-Ata fault based on an analysis of the magnitude of two parameters: the amplitude of apparent resistivity variations and the correlation coefficient of electrical resistivity variations with lunar-solar solid tides. …”
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Prediction of Soil Carbon Sequestration in Rangelands Regarding the Depth and Elevation of Sample Locations using Adaptive Neuro-Fuzzy Inference System (ANFIS) (Case Study: Lar Wat... by zeinab jafarian, zhila ghorbani

“…Conclusion: The increase in the correlation coefficient and the reduction of the mean error deviation in the ANFIS method compared to the linear multivariate regression show that the ANFIS method is more successful in estimating the amount of soil CS under the effects of various factors in the studied land use. …”
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System for Investigation of Friction Properties of the Road Surface by Janusz Pokorski, Andrzej Reński, Hubert Sar

“…In the paper, the method of measurement of this coefficient is presented. …”
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Justifying the use of structure-forming agents to increase storability of confectionery products with the foamy structure by N. B. Kondratev, O. S. Rudenko, E. V. Kazantsev, I. A. Belova, N. A. Petrova

“…The lowest diffusion coefficient was determined in zefir made with the addition of pectin, while the highest diffusion coefficient was in the sample based on gelatin. …”
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Development and validation of nutrition knowledge questionnaire for cancer-related anorexia and cachexia syndrome in Taiwanese patients with cancer by Tzu-Fang Chen, Tsae-Jyy Wang, Shu-Yuan Liang, Chieh-Yu Liu, Shiow-Chwen Tsai, Gwo-Chi Hu

“…However, its effectiveness is determined by several factors, such as patients' nutritional knowledge. …”
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Improving the Performance of Robust Partial Least Squares Regression Using an Iterative Approach by Mahammad Mahmoud Bazid Bazid, Taha Hussein Ali Ali

“… The robust partial least squares regression method provides a solution to noise and outliers in the estimated models by maximizing the explanation ratios of the independent and dependent variables (determination coefficient). …”
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Environmental Risk Mitigation via Deep Learning Modeling of Compressive Strength in Green Concrete Incorporating Incinerator Ash by Amin Amraee, Seyed Azim Hosseini, Farshid Farokhizadeh, Mohammad Hassan Haeri

“…In addition, the deep learning modeling results show that the regression coefficient (R) of 90% reflects the accuracy and efficiency of the deep learning model for the current mix design. …”
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Experimental study and optimizing the effective parameters on the extraction of the anti-cancer substance naringin under ultrasound waves by Mojtaba Nosrati, Neda Gilani, Hadiseh Masoumi

“…Finally, the highest efficiency of naringin extraction was determined using 86.29% ethanol solvent at pH = 6.52, time 20 minutes, sample to solvent ratio 0.24, and extraction amount 123.27 mg/liter. …”
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Effect of Disk Friction Loss Reduction on Flow Phenomena in Low-specific Speed Centrifugal Pump: An Experimental and Numerical Approach by D. Satish, A. Doshi, M. Bade

“…Reducing the rear axial clearance (Cs,a,r) is profound method to lower the LDF and improve the efficiency of pump (η). …”
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Investigation of Building Profiles for the Energy Simulation of a Factory Building: A Case Study in South Korea by Hansol Lim, Guan-Ho Park, Seheon Kim, Yeweon Kim, Ki-Hyung Yu

“…Energy simulations employing these factory-specific profiles yielded R² values (coefficient of determination) of 98.2% and 94.1% for cooling and heating energy accuracy, respectively, when compared with the actual monthly consumption data. …”
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The Impact of Embodied Cultural Capital (Subjective) on Intergeneration Social Mobility (Case Study: 30-54 Year-Old Citizens in Gorgan) by zahra ghafary

“…The purpose of this paper was intended to study the impact embodied cultural capital and intergenerational mobility of individuals in the city of Gorgan. The research method used in this study is suevey. For collecting the data, researcher-made questionnaire and for determining the reliability of the questionnaire, face validity technique and content validity with help of CVR coefficient technique and for determing the reliability of the questions, cronbach (alpha) coefficient were used. …”
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Transdisciplinary integration of knowledge in the environment of a virtual stem center by Viktor Shapovalov, Oleksandr Stryzhak

“…It is determined that ontological systems are an effective method for structuring and presenting scientific content, facilitating the integration of various scientific disciplines, and optimizing the learning process. …”
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Transdisciplinary integration of knowledge in the environment of a virtual stem center by Віктор Шаповалов, Олександр Стрижак

“…It is determined that ontological systems are an effective method for structuring and presenting scientific content, facilitating the integration of various scientific disciplines, and optimizing the learning process. …”
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Assessment of Nurses' Perception toward Application of Evidence Based Practice Approach by Nour Al-huda Muhannad Mousa, Jihad Jawad Kadhim

“… Background Evidence-based nursing practice (EBNP) has become one of the most effective methods for improving patient outcomes and the quality of care as well as delivering cost-efficient health care. …”
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Experimental and CFD study of a new design of a direct-flow cyclone by E. V. Flisyuk, V. S. Toptalov, O. M. Flisyuk, I. G. Likhachev, Yu. M. Kotsur

“…In the pharmaceutical industry solving such problems requires the use of compact, highly efficient devices, for the development and study of which CFD-modelling methods have recently been increasingly used. …”
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Effect of different drying techniques on the physicochemical and nutritional properties of Moringa oleifera leaves powder and their application in bakery product by B.M. Khaled, Ashish Kumar Das, S. M. Shamiul Alam, Nazmus Saqib, Md. Suman Rana, Sumia Rahman Sweet, Tamanna Naznin, Md. Pallob Hossain, Shanto Sardar, Zakaria Hossain, Suzana Marzan, Afrina Yesmin

“…The study analyzed the influence of drying methods and conditions on the quality of moringa leaves powder (MLP) and determined the optimal MLP to wheat flour ratio for cake development. …”
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Leveraging AlphaFold2 structural space exploration for generating drug target structures in structure-based virtual screening by Keisuke Uchikawa, Kairi Furui, Masahito Ohue

“…Computational virtual screening (VS) plays a vital role in early-stage drug discovery by enabling the efficient selection of candidate compounds and reducing associated costs. …”
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