ORGANOPROTECTIVE EFFECTS OF BENASEPRIL IN PATIENTS WITH ARTERIAL HYPERTENSION by V. S. Zadionchenko, T. V. Adasheva, A. M. Shamshinova, I. Y. Malishev, E. B. Manukhina, A. Y. Bogolyubskaya, K. M. Golovanov, M. A. Arakelyan, O. L. Silakova

“…Microcirculation was assessed by method of laser Doppler flowmetry. Stable plasma metabolites of nitric oxide (NO) were determined by spectral photometry. …”
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Femoral resection accuracy and precision in manual caliper‐verified kinematic alignment total knee arthroplasty by David Forrest Scott, Emma N. Horton

“…The thickness of the distal medial (DM), distal lateral (DL), posterior medial (PM) and posterior lateral (PL) femoral condyle resections were measured with a caliper and compared to a target determined by the degree of cartilage loss, saw blade kerf, and femoral component thickness. …”
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Dual Power Transformation and Yeo–Johnson Techniques for Static and Dynamic Reliability Assessments by Bao-Hua Liu, Long-Wen Zhang, Yi-Qiang Wei, Chen Chen

“…This unified approach represents a significant advancement by integrating novel transformations and fourth-moment method, providing a powerful and efficient tool for static and dynamic reliability analysis of engineering structures.…”
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Evaluation of the Utilization of the Hospital Management Information System (SIMRS) at Madani Regional General Hospital, Palu by Muhammad Rifial, Amran Razak, Darmawansyah Darmawansyah, Indar Indar, Arsyad Rahman

“…This study aims to evaluate the utilization of SIMRS at Madani Regional General Hospital, Palu, in 2024, and to analysed the impact of system usage, user satisfaction, information quality, and service quality on the net benefits of SIMRS. Methods: This study uses a quantitative method with a cross-sectional study approach and logistic regression analysis. …”
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DEMAND RESEARCH FOR “PARK AND RIDE” PARKING LOTS by A. O. Lobashov, S. B. Dulfan, A. V. Prasolenko, K. V. Dolya, D. L. Burko

“…The obtained data have made it possible to segment the demand for drivers representing suburban areas according to frequency of visits to the city by private cars has been determined in the paper. Drivers’ satisfaction with their efficient movement through the city has been assessed in the paper. …”
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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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RESE-CNN: Residual Squeeze-and-Excitation Network for High-Contrast Optical Tomography Reconstruction by Zhu Yingkuang, Pan Zhenhua, Li Huajun, Chen Jianyang, Sheng Yihao

“…Optical tomography, a critical component of process tomography, is an important tool for determining the absorption coefficient of cross-sectional media, with significant applications in multi-phase flow analysis, chemical processing, and combustion studies. …”
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The role user’s interface of the decision to purchase accommodation in Bali on the traveloka.com site by I Gusti Agung Gede Witarsana, I Gusti Ayu Putu Wita Indrayani, I Kadek Arisanjaya

“…This study uses quantitative descriptive analysis techniques through multiple linear regression methods, T test, F test and test the coefficient of determination (R2). …”
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Research on process optimization and trajectory planning of EA4T axle robot grinding by Feng ZHANG, Zhongli FENG, Feng XU, Deming ZHANG, Xiangrui ZENG, Jianwei MA, Shilei ZHANG

“…Current manual grinding methods for EA4T axle shoulder suffer from high labor intensity, inconsistent surface quality, and low efficiency. …”
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Physico-Mechanical Properties of Pumpkin Seeds in the Context of Drying Processes by A. G. Pastukhov, A. A. Dobritskiy, D. N. Bakharev, S. F. Volvak

“…Well-known laboratory apparatuses, namely the «conical tank» and the «inclined plane», were used to determine the natural repose angle and to enhance the accuracy of friction coefficients determination. …”
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Evaluation of SSM-Wheat Model in Simulating the Growth and Development of Wheat (Triticum aestivum L.) Cultivars in Different Planting Densities by Ali Rahemi karizki, Faramarz Sayyedi, Habib allah Soghi, Arazqlych Marfy, Mojtaba Salehi SHaikhi, Saeed Bagherikia

“…To evaluate the model, the coefficient of determination (R2), root mean square error (RMSE), normalized root mean square error (nRMSE), and the 1:1 line were used.  …”
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Turkish Adaptation of Mothers’ Cultural Beliefs About Weaning Scale: A Validity and Reliability Study by Aytül Hadımlı, Emine Serap Çağan, Sevil Güner, Aysun Ekşioğlu

“…Objective: The aim of this study was to determine the validity and reliability of the ‘Cultural Beliefs about Weaning Scale’ among breastfeeding women in the Turkish population.Method: The data of the methodologically designed study were collected by snowball sampling using online method between November 2020 and August 2022. …”
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Optimization and Modeling of Radial Pitch Diameter Difference in Tapping of AISI H13 by Jie Ren, Tingting Li, Zhi Chen, Yu Meng, Rui Zhang, Xianguo Yan

“…The results show that the combination of factors to obtain the smallest radial pitch diameter difference is a hone radius of 10 μm, a spindle speed of 100 rev/min, and a chamfer length of 2 pitches; the order of importance of the influencing factors on radial pitch diameter difference is spindle speed, followed by hone radius and chamfer length, and their percentage contribution rates are 61.54%, 24.53%, and 6.16%, respectively; the determination coefficient R2 of the prediction equations is 0.925; the confirmation experiment conducted with 95% confidence level shows that Taguchi method and prediction equation successfully optimize and predict radial pitch diameter difference.…”
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Screening of follicle-stimulating hormone dose-dependent expression genes by LIU Tian, CHEN Xiaoyu, ZHU Zhiwei, YU Fuxian, HUANG Jing, JIA Ruoxin, SHI Fangxiong, PAN Jianzhi

“…In addition, the expression of these four genes was determined in FSH dose gradients (0, 1, 3, 9, 27, 81, 243 and 729 mIU/mL), and the results showed that the correlation coefficient between the expression of LHCGR and dose gradient of FSH was close to 1 (R²=0.982) in the FSH dose range of 0-243 mIU/mL. …”
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Analysis and Geovisualization of Tsunami Hazard and Evacuation Routes in the Opak-Progo Coastal Area by Sudaryatno Sudaryatno, Josaphat Tetuko Sri Sumantyo, Taufik Hery Purwanto, Muhammad Falakh Al Akbar, Amelia Rizki Gita, Osmar Shalih

“…Network analysts also determined evacuation routes using the nearest facility method. …”
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Immunological Responses and Protection in the Largemouth Bass (<i>Microterus salmoides</i>) Immunized with Inactivated Vaccine Against Largemouth Bass Ranavirus (LMBRaV) by Tao Yang, Jiale Zhai, Chenyang Li, Lingbing Zeng, Yiqun Li, Wenzhi Liu, Yan Meng, Yuding Fan, Zhenyu Huang, Yong Zhou, Nan Jiang

“…The largemouth bass ranavirus (LMBRaV) caused significant mortality and economic loss in the largemouth bass aquaculture industry around the world, including China. Vaccination is an efficient method for virus defense. In this study, an inactivated LMBRaV vaccine was prepared, and the prevention effect as well as the immune responses were analyzed after the primary and the secondary immunization. …”
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Impact of Exclusive Breastfeeding and Extrauterine Growth Restriction on Post-Discharge Growth in Preterm Infants: A Longitudinal Cohort Study in a Kangaroo Mother Care Program by Sergio Agudelo-Pérez, Diana Marcela Díaz Quijano, Eduardo Acuña, Juan Pablo Valderrama, Ariana Rojas

“…EBF at 40 weeks was associated with a reduced weight z-score (coefficient: −0.29; <i>p</i> = 0.030), EBF at 3 months increased the weight z-score (coefficient: 0.34; <i>p</i> = 0.014), and EBF at 6 months reduced the risk of acute malnutrition (coefficient: −1.02; <i>p</i> = 0.036). …”
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Enhancing coastal bathymetric mapping with physics-informed recurrent neural networks synergizing Gaofen satellite imagery and ICESat-2 lidar data: A case in the South China Sea by Congshuang Xie, Siqi Zhang, Zhenhua Zhang, Peng Chen, Delu Pan

“…The physics-based RNN model achieved good bathymetric accuracy, with a coefficient of determination (R2) value >0.93 and a root mean square error (RMSE) < 0.83 m when compared to in-situ measurements on Ganquan Island, indicating the model demonstrates high robustness even under low-SNR satellite imagery conditions. …”
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Extraction of blurred infrared targets based on a manifold regularized multiple-kernel model by YANG Dao, FU Dong-mei

“…Specific to the problem of infrared target extraction with blurred edges,this article introduces an extraction method based on a manifold regularized multiple kernel semi-supervised classification model.Firstly,the maximum variance of inter-class(OTSU) method is used to compute the initial segmentation threshold,and the certain target and background areas and the uncertain blurred edge area are determined.Then,local space sets of pixels are constructed in each area,the multiple-kernel functions are used to map the grayscale mean and variance in local space,and the location information feature in local space is obtained by manifold regularization(MR).On the basis of features,a semi-supervised classification model is established to classify the local space sets of pixels in the blurred edge area.Finally,the optimal segmentation threshold is computed.Experiments with comparisons show that this method is efficient and less in time-consuming.…”
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Dynamic prediction of surface subsidence at any point based on Boltzmann time function model by Liangji XU, Zhihao SUN, Xiaopeng LIU, Kun ZHANG, Zongyou CAO

“…Based on the inversion results, correlations are established between the dynamic predicted parameters of any point in the subsidence basin and the maximum subsidence value on the surface, mining speed, and overlying rock lithology coefficient. A calculation method for determining the dynamic predicted parameters of the model at any surface point is provided, and its accuracy is verified to be reliable by utilizing the data collected from six working faces. …”
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