Analisis Cluster untuk Pengelompokan Kemampuan Penguasaan ICT Menggunakan K-Means dan Autoencoder by Daru Prasetyawan, Rahmadhan Gatra

“…The optimal number of clusters determined was three clusters. Model evaluation was conducted using the Silhouette coefficient and the Davies-Bouldin Index (DBI). …”
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On the Problem of Arrangement of Hybrid Energy Storage Systems by K. V. Dobrego

“…A brief overview of data on the cost of buffering electricity with lithium-ion, lead-acid batteries and supercapacitors is made. A method is proposed for determining the necessity and degree of hybridization of an energy storage device based on the simplest dependencies of the storage parameters on the degree of hybridization. …”
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A Strategy for Reliable Cargo Loading of Low-Pressure Liquid Carbon Dioxide Carriers by Soon-Kyu Hwang, Sang-Taek Im, Jong-Kap Ahn

“…The study concluded by examining the necessity of pressurization for safe and efficient LCO₂ loading and by determining which control strategy is most effective and reliable based on the simulation outcomes. …”
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Optimization of EMS Station Layout Based on a New Decision Support Framework by Peng Yang, Bozheng Zhang, Jingrong Yang

“…Employing the k-means clustering algorithm in combination with the elbow method and silhouette coefficient method, we conduct a clustering analysis on a patient call record dataset. …”
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Stability Analysis and Stabilization Solutions for Landslides (Case Study: Khorramabad-Pole Zaal Freeway) by Majid Ebrahimi, Ahmad Zakerian, Javad Dawoudian, Abolghasem Amir-Ahmadi

“…The purpose of the slope stability analysis, is to offer appropriate safety coefficient providing stability. Therefore, recognizing the slope stability factor is necessary to prevent mitigation risks and damages. 2-Materials and Methods As the first step, the slopes along the road were determined. …”
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Research on SPAD Inversion of Rice Leaves at a Field Scale Based on Machine Vision and Leaf Segmentation Techniques by Bailin Yue, Yong Jin, Shangrong Wu, Jieyang Tan, Youxing Chen, Hu Zhong, Guipeng Chen, Yingbin Deng

“…The results demonstrated that the U-Net could achieve accurate segmentation of leaves with a maximum mean intersection over union (MIoU) of 88.23. The coefficients of determination R² between the anticipated and observed SPAD values of the four models were 0.819, 0.829, 0.896, and 0.721, and the root mean square errors (RMSEs) were 2.223, 2.131, 1.564, and 2.906. …”
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Turkish Cross‐Cultural Adaptation of Cultural Humility Scale for Nursing Students: A Methodological Research by Cevriye Yüksel Kaçan, Güven Özkaya

“…Results As a result of exploratory factor analysis, it was determined that the scale had a three‐factorial construct, consisting of 19 items that explained 60.50% of total variance, and the internal consistency reliability coefficient was 0.906. …”
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Differences of active substances in different fruit phenotypes of Lycium ruthenicum Murr. by SHI Cui, KONG Dongsheng, WU Yao, BAO Jingwei

“…fruits and the correlation between phenotype and active substances, to provide reference for its resource development and utilization. [Methods] Taking L. ruthenicum as materials, 23 phenotypic characteristics were extracted, and the active substances were determined and analyzed. …”
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Content validation of a questionnaire on healthcare personnel's perceptions of technologies by Maritza Díaz Rincón, Paula Constanza Arango Franco, Jose Alejandro Vergel Torrado, Olga Lucia Lora Díaz

“…A 28-item questionnaire was adapted to assess health personnel's perceptions and attitudes toward technologies, and content validity was determined using Aiken's V coefficient. The Brennan and Prediger coefficient was used to assess agreement among experts. …”
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Psychometric properties of the Chinese version of the spiritual care competency scale in nursing practice: a methodological study by Fan Li, Yanli Hu, René Van Leeuwen

“…Objectives To determine the validity and reliability of the Spiritual Care Competency Scale (SCCS) among nurses in China.Design Methodological research.Methods After the SCCS was translated into Chinese, the validity and reliability of the Chinese version of the SCCS (C-SCCS) were evaluated using a convenience sample of 800 nurses recruited from different healthcare centres. …”
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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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Design of a Noise Mitigation System Using Lightweight Graded Micro-Porous Material by Bharath Kenchappa, Kunigal Shivakumar

“…We developed a multivariable-fit inverse method to estimate these properties using an experimental absorption coefficient, validated first with smooth-surface glass beads and then applied to micro-porous material. …”
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Association Between Malondialdehyde and Glomerular Filtration Rate Among Patients Attending National Orthopaedic Hospital Dala- Kano, Nigeria by Adamu, S.M. *, Wudil, A.M., Ibekwe, E.C., Koki, Y.A., Adamu, S., Abdullahi, S.A. and Abbas, A.M.

“…A total of sixty (60) consenting subjects of both gender between the ages of 20 to 80 years were recruited. Kinetic Jaffe’s method was employed for the estimation of creatinine. …”
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Machine Learning-Based Normal White Blood Cell Multi-Classification Optimization by Taeyeon Gil, Sukjun Lee, Onseok Lee

“…Several studies have employed deep learning (DL) or machine learning (ML) methods; no significant difference in performance between the two methods has been demonstrated. …”
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RELATIONSHIP OF THE MARKERS OF ENDOTHELIAL DYSFUNCTION AND FIBROSIS IN CHRONIC HEPATITIS AND CIRRHOSIS by V. V. Shchekotov, A. P. Shchekotova, I. A. Bulatova

“…The aim – assessing the relationship of markers of endothelial dysfunction and fibrosis (AF) in patients with chronic viral hepatitis and liver cirrhosis (LC).Materials and methods. We examined 40 patients with chronic hepatitis C in the phase of reactivation. …”
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Reservoir water level prediction using combined CEEMDAN-FE and RUN-SVM-RBFNN machine learning algorithms by Lan-ting Zhou, Guan-lin Long, Can-can Hu, Kai Zhang

“…By integrating the adaptive complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) method and fuzzy entropy (FE) with the new and highly efficient Runge–Kuta optimizer (RUN), adaptive parameter optimization for the support vector machine (SVM) and radial basis function neural network (RBFNN) algorithms was achieved. …”
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Absolute quantification of Neuron-specific enolase based on surface plasmon resonance by Cui Lin, Yijie Wang, Tao Peng, Pengpeng Liu, Yuanyuan Liang, Wencheng Kang, Xiaoping Yu, Yang Song, Xuping Shentu

“…Based on the principle of CFCA, the active concentration of NSE can be calculated by observing binding rate variations at two flow rates under partial mass transport limitation and combining it with the known diffusion coefficient of the NSE. Using the method of CFCA, the active concentration of NSE was determined was only 0.48 mg/mL with an intra-day repeatability of 4.75%. …”
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Estimating beluga whale abundance from space: using drones to ground‐validate VHR satellite imagery by Jordan B. Stewart, Justine M. Hudson, Bryanna A. H. Sherbo, Cortney A. Watt

“…However, the inherent nature of cetaceans and the marine ecosystems they inhabit make annual population surveys logistically and economically challenging with current survey methods. One emerging solution is utilizing very high‐resolution (VHR) satellite imagery, which is a logistically efficient method for providing an instantaneous view of areas spanning hundreds of square kilometers. …”
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Analyzing and forecasting the dynamics of Internet resource user sentiments based on the Fokker–Planck equation by J. P. Perova, S. A. Lesko, A. A. Ivanov

“…The current state of the comment graph can be determined using text analysis methods.Conclusions. …”
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Variability of quantitative indicators of walnut fruits by Y. I. Sukhorukikh, S. G. Biganova, E. K. Pchikhachev

“…The variation coefficient, relative entropy, variability indices of Shannon, Sukhorukikh-Biganova, Margalef, Menkhinik, polydominance, Berger-Parker were determined by known methods with the replacement of the number of species by the number of classes of distribution of the trait. …”
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