Spatial variation of soil quality in key grain-producing areas of Qitai County, Xinjiang by FAN Zikang, WANG Chunxia, YU Jing, QIN Da, YANG Yuefa, WANG Hongxin

“…Classical statistical methods were used to analyze the correlations between indicators, and geostatistical methods were used to assess the spatial variation of each indicator. …”
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Response of Anti-Oxidative Stress Genes in Liver and Intestine in Broilers Fed Organic Acid and Silver Nanoparticles Coated on Zeolite in Starter Period by Fatemeh Asgharnezhad, Seyed Reza Hashemi, Saeed Hassani, Sharif Rostami

“…Extended Abstract Background: The use of food supplements to improve growth, optimal production and increase feed efficiency in feeding livestock and poultry has become a common thing as a suitable solution in using feed as well as possible. …”
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Associations between pathophysiological traits and symptom development in retrospective analysis of V30M and V122I transthyretin amyloidosis by Sameer U. Kini, Ha My Thi Vy, Madhav Subramanian, Parasuram M. Krishnamoorthy, Son Q. Duong, Ghislain Rocheleau, Jagat Narula, Ron Do, Girish N. Nadkarni

“…Among African Americans (AA) and Hispanic/Latinx Americans (HA) from the Mount Sinai BioMe Biobank (n = 28,718), a case-control style Phenome-Wide Association Study (PheWAS; odds ratio [95% confidence interval]) of V122I for phenotypic and echocardiogram traits (β coefficients [95 % CI]) determined gene pleiotropy. Results: Among V30M profiles, 96 (52.4%) were symptomatic, expressing upregulated neutrophil activity (p < 10-16), IL-6/JAK/STAT3 signaling (p < 10-3), and downregulated CD4+T cell expression (p = 0.009), compared to their asymptomatic counterparts. …”
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Long-Term (2015–2024) Daily PM_2.5 Estimation in China by Using XGBoost Combining Empirical Orthogonal Function Decomposition by Jiacheng Jiang, Jiaxin Dong, Yu Ding, Wenjia Ni, Jie Yang, Siwei Li

“…A two-step PM_2.5 estimation model is established based on a machine learning algorithm and a spatio-temporal decomposition method. First, we utilize the machine learning algorithm XGBoost (EXtreme Gradient Boosting) to address gaps in the daily MAIAC (Multi-Angle Implementation of Atmospheric Correction) AOD (Aerosol Optical Depth), with R²/RMSE (coefficient of determination/Root Mean Square Error) of 0.67/0.2678 compared to AERONET (Aerosol Robotic Network) AOD. …”
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Research on Data Repair of Pile-Type Adjustable Wind Turbine Foundation Monitoring Based on FST-ATTNet by WEI Huanwei, ZHAO Jizhang, ZHENG Xiao, TAN Fang, LIU Cong

“…This model is designed to enhance the modeling capabilities for complex time-series data, improve the accuracy of missing data reconstruction, and ensure the reliability of health monitoring, ultimately guaranteeing wind turbines' safe and efficient operation. Moreover, it presents potential solutions for similar data reconstruction challenges across various engineering disciplines.MethodsThe FST-ATTNet model introduces an innovative data repair framework by integrating features from the frequency, time, and spatial domains. …”
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Non-destructive estimation of needle leaf chlorophyll and water contents in Chinese fir seedlings based on hyperspectral reflectance spectra by Dong Xing, Penghui Sun, Yulin Wang, Mei Jiang, Siyu Miao, Wei Liu, Huahong Huang, Erpei Lin

“…Needle leaf chlorophyll content (LCC) and needle leaf water content (LWC), which are determinants of plant health and photosynthetic efficiency, are important indicators of the growth status in plants. …”
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Enhancing renewable energy integration through strategic stochastic optimization planning of distributed energy resources (Wind/PV/SBESS/MBESS) in distribution systems by Ahmad K. ALAhmad, Renuga Verayiah, Hussain Shareef, Agileswari Ramasamy, Saleh Ba-swaimi

“…Monte Carlo Simulation (MCS) models uncertainties in wind speed, solar irradiation, load power, and energy prices, while the backward reduction method (BRM) mitigates computational complexities. …”
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Prediction of dam deformation using adaptive noise CEEMDAN and BiGRU time series modeling by WANG Zixuan, OU Bin, CHEN Dehui, YANG Shiyong, ZHAO Dingzhu, FU Shuyan

“…【Result】Case analysis demonstrates that, compared to traditional prediction models, the proposed model achieves a root mean square error (RMSE) of 0.031 9 mm, mean absolute error (MAE) of 0.015 3 mm, mean absolute percentage error (MAPE) of 2.51%, and determination coefficient (R2) of 0.971 2.【Conclusion】 The results verify that the proposed model captures and simulates the dam deformation process more accurately, exhibiting higher prediction accuracy and stronger generalization ability.…”
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Back Propagation Neural Network model for analysis of hyperspectral images to predict apple firmness by Shuiping Li, Yueyue Chen, Xiaobo Zhang, Junbo Wang, Xuanxiang Gao, Yunhong Jiang, Zhaojun Ban, Cunkun Chen

“…The performance of seven preprocessing algorithms and two feature selection algorithms was evaluated. The coefficient of determination (R2) and root mean square error (RMSE) of Partial Least Squares (PLS) models are contrasted using various inputs. …”
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Psychological peculiarities of professional development in late adulthood by E. F. Zeer, E. E. Symanyuk, A. A. Ryabukhina, G. I. Borisov

“…The “WHO Quality of Life-BREF (WHOQOL-BREF)” was applied to determine the level of quality of life. The parameters of professional development were evaluated employing a questionnaire with closed-type questions – adapted method “Questionnaire of a Working Pensioner” by N. …”
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Study of the Effect of Proton Pump Inhibitors on the Development of Hypomagnesemia in Patients with Paroxysmal Atrial Fibrillation on the Background of Autonomic Sinus Node Dysfunc... by Ya. G. Bozhko, M. V. Arkhipov, N. A. Belokonova

“…In addition, in the experiment, complex-forming activity of solutions of various PPIs (esomeprazole, pantoprazole, rabeprazole and omeprazole) with respect to magnesium ions was studied. The author’s method was used, based on turbidimitric determination of the light transmission during the heterogeneous reaction of the formation of magnesium phosphates in the presence of the analyzed drug or without it.Results. …”
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High-performance hydrogen energy generation via innovative metal-organic framework catalysts and integrated system design by Kenzhebatyr Zh. Bekmyrza, Kairat A. Kuterbekov, Asset M. Kabyshev, Marzhan M. Kubenova, Aliya A. Baratova, Nursultan Aidarbekov, Mesfin Diro Chaka, Natei Ermias Benti

“…Furthermore, DFT calculations and XPS analysis revealed that the role of platinum in the OER is not direct catalysis, but rather a powerful electronic modulation effect; Pt dopants withdraw electron density from adjacent Ni and Fe centers, promoting the formation of higher-valent Ni³⁺/Fe³⁺ species that are intrinsically more active and lowering the energy barrier for the rate-determining O-O bond formation step. The integrated system achieved 1.62 V at 100 mA/cm² with 75.8% energy efficiency, maintaining stability for 200 h with 15–30 times lower precious metal loading than conventional systems. …”
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Development of interest in training by creation emotional and comfortable educational environment by Olga M. Shentsova

“…The structural model of the educational environment has been developed, that includes spatial and subject, social, actionable, information and technological, substantial and spiritual components, which are considered by the authors in detail.When determining the educational environment we have used the method of the vector modeling, developed by V.Yasvin, which is based on the system of coordinates, consisting of an axis of FD “freedom-dependence” and an axis of AP “activity-passivity”. …”
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Possibilities of multiparametric MRI in the differential diagnosis of histological types of cervical cancer in the preoperative period by E. V. Tarachkova, M. A. Shorikov, V. O. Panov, V. V. Kuznetsov, L. Sh. Usmanova, L. E. Tyurin

“…A number of studies have demonstrated the possibility to determine histological type (squamous cell cancer and adenocarcinoma) and the degree of differentiation of this type of tumor by using the apparent diffusion coefficient maps (ADC-map) compiled on the basis of diffusion-weighted images (DWI) (p &lt;0.05). …”
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Dual-platform integration of HPTLC and firefly algorithm-optimized chemometrics with hammersley sequence sampling for simultaneous quantification of bisoprolol, amlodipine, and mut... by Lateefa A. Al-Khateeb, Ahmed Emad F. Abbas, Mohamed R. Elghobashy, Nisreen F. Abo Talib, Ibrahim A. Naguib, Mohammed Alqarni, Michael K. Halim

“…This innovation, combined with a 52 mixture experimental design for calibration (25 mixtures), significantly enhanced model robustness and predictive capability. Both methods demonstrated superior analytical performance with detection limits of 3.56–20.52 ng/band (HPTLC) and 0.011–0.120 μg/mL (FA-PLS), correlation coefficients ≥ 0.9995, and precision (RSD) ≤ 2%. …”
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MRI-based quantification of primary ossification centers in the lateral and basilar parts of the human fetal occipital bone by Qinyi Han, Nan Lin, Peng Su, Hui Zhao, Peng Zhao, Mimi Tian, Lianjie Cheng, Lianxiang Xiao, Xiangtao Lin

“…The developmental dynamics were best described by linear regression models, with high coefficients of determination (R² > 0.75) for all parameters. …”
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Hemoglobin level and common mental disorder among school adolescent girls in Central Ethiopia: Structural Equation Model by Shemsu Kedir, Kalkidan Hassen Abate, Bekri Mohammed, Behre Dari Mosa, Yasin Awol Wabe, Kalid Sherefa Reshid, Legese Petros, Musa Jemal, Beyene Wondafrash Ademe

“…Data were analysed through fitting Structural Equation Model and the maximum likelihood estimation method. Goodness of fit was assessed using the χ2The ‐test statistic, Comparative Fit Index, Root Mean Square Error of Approximation, Standardised Root Mean Square Residual, Non‐Normed Fit Index, Pclose and coefficient of determination (R2). …”
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Influence of probiotics and deoxycholate on azathioprine transport in the PAMPA model: insights into pharmacomicrobiomics and interindividual variability in drug response by Maja Đanić, Nebojša Pavlović, Natalija Dedić, Dragana Zaklan, Slavica Lazarević, Bojan Stanimirov, Momir Mikov

“…In silico analysis suggested that azathioprine absorption may involve intestinal transport proteins, including P-gp, and that DC, as a P-gp inhibitor, could additionally affect its absorption and bioavailability through this mechanism.ConclusionThe findings indicate significant interactions between probiotic bacteria, DC, and azathioprine that may affect azathioprine absorption. Since the PAMPA method is exclusively suited for evaluating passive transport, additional in vitro and in vivo studies are required to further investigate the interactions of azathioprine with intestinal bacteria and bile acids, ultimately determining their impact on intestinal absorption and bioavailability.…”
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Enhancing Pear Tree Yield Estimation Accuracy by Assimilating LAI and SM into the WOFOST Model Based on Satellite Remote Sensing Data by Zehua Fan, Yasen Qin, Jianan Chi, Ning Yan

“…The results showed that the RF algorithm provided the best results when inverting the LAI. The coefficients of determination (R²) were 0.73, 0.72, 0.76, and 0.77 for the four periods, respectively, and the root-mean-square errors (RMSE) were 0.21 m²/m², 0.24 m²/m², 0.18 m²/m², and 0.16 m²/m², respectively. …”
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Error disclosure: what residents say and what patients find effective by Emily Grossniklaus, Angelo D'Addario, Ann King, Thomas H. Gallagher, Kathleen Mazor, Andrew A. White

“…The Video-based Communication Assessment (VCA) software enables trainees to receive feedback on their error disclosure communication skills. The VCA method also allows examination of the specific types of error disclosure responses that patients value most.ObjectiveThe primary aim of this study was to describe the language medical residents use to disclose a hypothetical harmful medical error, and to determine the language associated with higher ratings by crowdsourced laypeople. …”
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