The Impact of Longitudinal and Stirrups Reinforcement Ratio to Shear Strength Capacity of Geopolymer Concrete Beam by Y. Tajunnisa, A.K. Apsari, R. Bayuaji, Moh. Safi’i Mansur

“…It was found that the presence of a constant increases the value of the coefficient of determination by up to 29% for the Vc equation in geopolymer concrete. …”
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OPTIMAL AIRCRAFT CONTROL SYNTHESIS BASED ON THE EQUATIONS OF NON-LINEAR DYNAMICS by V. F. Dil, V. N. Sizykh

“…To synthesize control algorithms a non-linear model of aircraft flight and trajectory movement is used. The authors define method stages of flying level synthesis which include: selection of aircraft reference movements in accordance with three degrees of freedom, structuring the control algorithms and their parameters, defining the proximity of current and reference movements by means of a quadratic functional and further extremum-minimum movement organization by the gradient method. …”
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Еvaluation of the development strategy of the hotel and restaurant industry of Ukraine by Olha Nikolaichuk

“…The following results were obtained: A model of taxonomic analysis of the development strategy of the hotel and restaurant industry is proposed. The taxonomic coefficients of the development strategy of the hotel and restaurant industry of Ukraine have been determined. …”
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Addition of punishments by V. M. Stepashin

“…The logical sequence of the presentation of regulatory requirements in these articles is flawed.The method and the basic algorithm for determining the final penalty when adding punishments. …”
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DENTAL STATUS IN CHILDREN WITH MALIGNANT SOLID NEOPLASMS by Yu.V. Popelo

“…The urgency of this issue is due to a pronounced tendency to a rapid increase in the prevalence of disease with malignant formation, which requires a detailed study of the efficiency of already implemented methods and improving or developing new schemes for the sustainable maintenance of dental health in patients of this profile. …”
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Kneeliverse: A universal knee-detection library for performance curves by Mário Antunes, Tyler Estro, Pranav Bhandari, Anshul Gandhi, Geoff Kuenning, Yifei Liu, Carl Waldspurger, Avani Wildani, Erez Zadok

“…However, accurately determining the knees and elbows in curves poses a significant challenge. …”
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Relationship between assertiveness and reporting of job errors among nurses by Leili Borimnejad, Marjan Mardani Hmouleh, Naeimeh Seyed Fatemi, Mehrdad Mostaghaci

“…Methods: This descriptive and cross sectional study was performed on 153 nurses from Fatemeh Zahra hospital of Najafabad through census sampling. …”
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Deep learning for automatic brain tumour segmentation on MRI: evaluation of recommended reporting criteria via a reproduction and replication study by Justin Schneiderman, Rolf A Heckemann, Emilia Gryska, Isabella Björkman-Burtscher, Asgeir Store Jakola, Tora Dunås

“…Objectives To determine the reproducibility and replicability of studies that develop and validate segmentation methods for brain tumours on MRI and that follow established reproducibility criteria; and to evaluate whether the reporting guidelines are sufficient.Methods Two eligible validation studies of distinct deep learning (DL) methods were identified. …”
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Correction and modeling of position impact of current sensor of quantum direct current electricity meter by QIU Rujia, TIAN Teng, GENG Jiaqi, WANG Enhui, ZHAO Long, CHEN Yue

“…After fitting, the maximum relative error is reduced to 0.074%, with a coefficient of determination R2 equaling 1.000 0 and an MSE value of 1.18×10-4, achieving satisfactory results overall. …”
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Social Health Status and Its Related Factors in Older Adults by Fatemeh Sadadt Izadi-Avanji, Rasoul Mohseni-Asl, Hamidreza Gilasi

“…Data were analyzed using an independent t-test, one-way analysis of variance, the Tukey post hoc test, the Pearson correlation coefficient, and linear regression with a stepwise method. …”
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Pengaruh jingle Pemilu serentak 2024 di Instagram terhadap kesadaran memilih gen-z di Kabupaten Bantul by Bayu Aji Firmansyah, Fikri Disyacitta

“…Furthermore, the author conducted a coefficient of determination test to calculate the amount of influence of X on Y, which resulted in X having an influence of 47.9% towards Y. …”
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Hypertension a Predictive Risk Factor on Progression to Alzheimer’s Disease Using APOEε4 as a Benchmark by Mingfei Li, Ying Wang, Lewis Kazis, Weiming Xia

“…The aim of this paper is to determine whether hypertension is the most significant but modifiable risk factor to delay AD onset. …”
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Quantitative Prediction of Protein Content in Corn Kernel Based on Near-Infrared Spectroscopy by Chenlong Fan, Ying Liu, Tao Cui, Mengmeng Qiao, Yang Yu, Weijun Xie, Yuping Huang

“…A method for determining protein content in maize grain powder was established using near-infrared (NIR) reflectance spectra in the 940–1660 nm range. …”
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Permissible Extrapolation Justification of the Multiplicative Multifactorial Model and Its Application to the White Soot Production Technology by Lyutsiya Karimova, Guldana Makasheva, Vitaliy Malyshev, Yelena Kharchenko, Yerlan Kairalapov

“…A multifactorial experiment was designed, and the experimental results were processed using a probabilistic deterministic method for experiment design (PDED) to obtain a nonlinear multiplicative combined model. …”
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A statistical-based geospatial approach to prioritize the watersheds for soil erosion conservation in the Upper Awash Basin (Upstream Koka), Ethiopia by Pradeep Kamaraj, Immanuvel David Thangapandian, Shankar Karuppannan, Tola Garo

“…The drainage patterns were extracted from SRTM-DEM (Shuttle Radar Topography Mission-digital elevation model), and ‘Stahler’s method’ was adopted to determine the stream order. …”
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Design and Enhancing Security Performance of Image Cryptography System Based on Fixed Point Chaotic Maps Stream Ciphers in FPGA by Ahmed Amir Salih, Zaid Abdulsattar Abdulrazaq, Harith Ghanim Ayoub

“…The system implemented using co-simulation method on the ZYNQ 7000 SoC ZC702 Evaluation Kit, with a key space of 2288 and a throughput of 269. 32 MB/sec. …”
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An innovative modelling technique for bimodal soil water characteristic curve under wetting process by Nura Bello, Alfrendo Satyanaga, Sonny Irawan, Qian Zhai, Nurly Gofar, Jong Kim

“…The results of the statistical analysis indicate that the coefficient of determination (R 2) is close to 1.0 and root mean square error (RMSE) is approaching 0. …”
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Maximum Control Water Level (CWL) Jatibarang Dam to Avoid The Possibility of Overtopping Due to Flood 100 Years by Yeri Sutopo, Karuniadi Satrijo Utomo

“…The aims of this study are (1) to analyze the maximum CWL value in the main spillway of the Jatibarang dam based on the analysis of flooding due to Q 100 years; and (2) comparing the maximum CWL value of the main overflow dam Jatibarang results of planning using Q 50 years with the maximum CWL value of the main overflow dam due to flood discharge Q 100 years.This type of research was a survey. Data collection methods used were observation and documentation. The observation method was used to determine the coordinates of the dam spillway, which was then used to make a Jatibarang dam spillway watershed map and directly observe the Jatibarang dam spillway construction. …”
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Occurrence of ESBL, AmpC-ESBL, and Carbapenemase Producer Organisms in Clinical Specimens: An Observational Prospective Study by Rajal Dave, Abhijeet Joshi

“…Carbapenemase producer organisms were reconfirmed by a modified carbapenemase inactivation method per CLSI guidelines, with 288 GNB strains isolated from 801 clinical specimens. …”
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Quantitative Prediction of Low-Permeability Sandstone Grain Size Based on Conventional Logging Data by Deep Neural Network-Based BP Algorithm by Hongjun Fan, Xiaoqing Zhao, Zongjun Wang, Zheqing Zhang, Ao Chang

“…The best model was obtained by using decision tree, support vector machine, shallow and deep neural networks to model the median rock grain size and predict neighboring wells, and a comparative analysis showed that for the problem of predicting the median rock grain size in low-permeability sandstone reservoirs, the deep neural network improved significantly over the shallow one and was much stronger than other machine learning methods. The best model obtained a coefficient of determination (R2) of 0.9831. …”
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