Investigation of mechanical and tribological properties of NiCrAlY/ZrO2-Y2O3 coatings obtained by detonation spraying by Д.Б. Буйткенов, Ж.Б. Сагдолдинa, Л.Г. Сулюбаева, А.Б. Набиолдина, Н.С. Райсов

“…It was found that coatings obtained in 2D mode have better wear resistance and lower coefficient of friction compared to coatings in 1D mode, indicating the greater efficiency of coatings in dry friction conditions and their ability to prevent wear of the substrate material. …”
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In-situ real-time monitoring of flavonoids extraction from propolis extracts based on near infrared spectroscopy by WANG Wuli, MA Haile, LI Han, ZHANG Yong, XIA Hong

“…The Rp (prediction correlation coefficient) and RMSEP (the root mean square prediction error) were 0.929 1 and 0.242 7 respectively, which showed that the in-situ monitoring of the model had good regression and prediction ability.ConclusionNear-infrared spectroscopy can be used to quickly and accurately monitor the flavonoid content in the extraction process of propolis residue, and realize real-time monitoring in situ.…”
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Honeycomb lung segmentation network based on P2T with CNN two-branch parallelism by Zhichao Li, Gang Li, Ling Zhang, Guijuan Cheng, Shan Wu

“…In addition, its IoU and Dice coefficient of 0.7941 and 0.8875 on the Covid dataset further prove its excellent performance.…”
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The Turkish Adaptation of the Dispositional Self-Control (DSC) Scale and Examination of Its Psychometric Properties by Atanur Akar

“…The overall Cronbach's alpha coefficient of the scale was 0.88, while the alpha coefficients of the subscales ranged from 0.70 to 0.80. …”
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Physiological response mechanism and stress resistance characteristics of four garden plants under heavy metal stress by Ning Li, Ning Lu, Junye Zhang, Yuanchun Yu

“…The gardenia plant had significant Zn and Cadmium (Cd) accumulation ability, the enrichment coefficient of rhododendron root system under Copper (Cu) was 6.38, and the transfer coefficient of Cu metal of weigela was about 2.0. …”
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Digital Image Correlation Analysis of Displacement Based on Corrected Three Surface Fitting Algorithm by Tong-bin Zhao, Wei Zhang, Wei-yao Guo

“…SFA (Surface Fitting Algorithm) for continuous displacement is an important method for digital image correlation with antinoise ability and computational efficiency advantages in practical applications. …”
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Investigation of morphology changes in Karun River and its hazards (Case Study: Bandagir to Khorramshahr) by Amir Saffati, EzatAllah ghanavati, Hamid Alipour Dezdouli Asl

“…In order to investigate the causes of changes, the effective parameters in changes such as precipitation, discharge, runoff coefficient, waterway length, permeability coefficient, landform, lithology, land use change, wasteland, slope percentage, drainage density and vegetation density, land Theology and floodplains, To assess the hazards of the area, were used. …”
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Evaluation of Control Priorities Based on a Matrix of Paired Comparisons by O. V. German, Ju. O. German, М. V. Kuznetsov

“…The critical value of the coefficient of determination can be determined, for example, using the Fisher criterion. …”
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Seismic Performance Analysis of Middle Column Joints with T-Stub Steel Connections Considering Cumulative Damage by Huanhuan Liu, Shilin Yan, Xinwu Wang, Yifei Chen, Yongjing Li

“…The load–displacement curve, cumulative energy dissipation, equivalent viscous damping coefficient, damage index and other characteristics of the joints were analysed. …”
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Prediction of Blast Vibration Velocity of Buried Steel Pipe Based on PSO-LSSVM Model by Hongyu Zhang, Shengwu Tu, Senlin Nie, Weihua Ming

“…The results show that the fitting correlation coefficient (R2), root mean square error (RMSE), average relative error (MRE), and Nash coefficient (NSE) of the PSO-LSSVM model for the prediction of pipeline peak vibration velocity are 91.51%, 2.95%, 8.69%, and 99.03%, showing that the PSO-LSSVM model has a higher prediction accuracy and better generalization ability, which provides a new idea for the vibration velocity prediction of buried pipelines under complex blasting conditions.…”
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Analysis of adhesive and biofilm-forming properties of field isolates of microor-ganisms for pig houses under the action of disinfectants “Sviteco PIP Multi” and “Vulkan Max”... by V. O. Myronchuk, R. A. Peleno

“…It was found that before the action of disinfectants on the studied isolates, the average adhesion index varied from 1.4 to 5.8 microbes per erythrocyte (MO/RBC), the erythrocyte participation coefficient was from 42 to 98 %, the adhesion index was from 2.5 to 5.92, all of them had biofilm-forming ability and formed biofilms of high and medium density. …”
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HMSAM-UNet: A Hierarchical Multi-Scale Attention Module-Based Convolutional Neural Network for Improved CT Image Segmentation by Na Liu, Zhonghua Lu, Wenyong Lian, Min Tian, Chiyue Ma, Lijuan Peng

“…While modern deep learning methods have made significant progress in medical image segmentation, some challenges remain, including accurately capturing features at multiple scales, limited ability to detect critical regions, and susceptibility to noise and background interference. …”
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Machine Learning–Based Cognitive Assessment With The Autonomous Cognitive Examination: Randomized Controlled Trial by Calvin Howard, Amy Johnson, Sheena Baratono, Katharina Faust, Joseph Peedicail, Marcus Ng

“…However, while the ACoE has been internally validated, it has not been externally validated in a clinical population, and its ability to render accurate appraisals of cognition is unknown. …”
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Predict the writer’s trait emotional intelligence from reproduced calligraphy by Ruimin Lyu, Wen Sun, Yongle Cheng, Yifei Shi, Ning Wang, Joydeep Bhattacharya, Guoying Yang

“…Experimental results show that, using Mean Absolute Error (MAE), Mean Squared Error (MSE) and Pearson Correlation Coefficient (PCC) as evaluation metrics, this method’s ability to predict the writer’s trait EI from calligraphy reproductions (MAE: 0.463, MSE: 0.462, PCC: 0.730) significantly outperforms human evaluative abilities (MAE: 1.006, MSE: 1.740, PCC: 0.145), confirming that calligraphy reproductions indeed contain latent information about the writer’s trait EI.…”
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Research of methods for introducing TiO2 nanoparticles into a micron matrix of BeO and TiO2 powders and their effect on the rheological properties of a casting slip by А.В. Павлов, Е.Е. Айымханов, Ж.Б. Сагдолдина, А.Б. Касымов, Д.Р. Байжан, М.С. Жапарова

“…It is necessary to introduce the TiO2 phase into the composition of the BeO ceramics as much as possible to obtain a high coefficient. …”
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Particle Swarm Optimization–Long Short-Term Memory-Based Dynamic Prediction Model of Single-Crystal Furnace Temperature and Heating Power by Lin Hou, Dedong Gao, Shan Wang, Wenyong Zhang, Haixin Lin, Yan An

“…Existing sensor technologies can only monitor these parameters in real time, lacking the ability to predict future trends, which limits the ability to implement preventive control before issues arise. …”
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Possibilities of pharmacologic correction of cognitive disorders in conditions of experimental equivalent of multiple sclerosis. by A. A. Nefyodov, V. Io. Mamchur

“…Here with preparations were characterized by a high coefficient of antiamnesic activity, by the end of the experiment it was recorded at the level of 95% (citicoline), 81% (α-lipoic acid), 76% (nicergoline) and 53% (donepezil). …”
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Research on the Bearing Remaining Useful Life Prediction Method Based on Optimized BiLSTM by Yi Zou, Wenlei Sun, Tiantian Xu, Bingkai Wang

“…The proposed RUL prediction model has high performance and fitting capacity, as well as very high generalization ability and applicability, enabling the early prediction of bearing RUL.…”
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Validation of LLM-Generated Object Co-Occurrence Information for Understanding Three-Dimensional Scenes by Kenta Gunji, Kazunori Ohno, Shuhei Kurita, Ken Sakurada, Ranulfo Bezerra, Shotaro Kojima, Yoshito Okada, Masashi Konyo, Satoshi Tadokoro

“…The root mean square error of the co-occurrence coefficient was 0.31. While GPT-4 tends to output slightly higher co-occurrence coefficients, it effectively captures the overall co-occurrence patterns observed in the ScanNet v2 dataset. …”
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Sociological Explanation of the Relationship between Cultural Intelligence and Social Tolerance among Baloch People by Samad Beheshti, Moslem Naraghimanesh, Saadat Naraghimanesh

“…Similarly, Rose and Naresh (2008) describe it as the ability to adapt to unfamiliar cultural environments. …”
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