A Case-Control Study Examining the Relationship between Gastroesophageal Reflux Disease and Dental Caries by P Suganya, P Nimmy, S Savitha, R. P. Srutheesri, M Anita, Charumathi Dhanushkodi, Savitha Lakshmi Raghavan

“…Dental caries was assessed using the DMFT index, and the body mass index (BMI) was calculated for each participant. The collected data were analyzed using analysis of variance. …”
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STUDY ON THE LOAD ASSESSMENT METHOD AND DEVELOPMENT OF THE LOAD ASSESSMENT PROGRAM FOR THE TAIL SUPPORT DEVICE OF THE FL-17 WIND TUNNEL by ZHAO Yu, CAO QingYuan, WU SongLing, YANG BenChuan, ZHAO Kun, YIN XiWei

“…The safety coefficients of the driving hydraulic cylinders and the bearings can be readily calculated by importing the structural parameters and inputting the load parameters. …”
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Effective Atomic Number Determination of Rare Earth Oxides with Scattering Intensity Ratio by A. Turşucu, D. Demir, P. Önder

“…Obtained values from this fit curve were compared to theoretical values and were found to closely agree with theoretical calculations.…”
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The Role of Performance-Based Allowances, Work Motivation, and Work Discipline on Employee Performance by Nji Raden Laila Mahmudah, Sri Astuti Pratminingsih

“…Data collection techniques were used by distributing questionnaires to 137 respondents. Calculations were carried out using the Statistical Product and Service Solutions (SPSS) Software Program version 25. …”
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Temporal dependent rate-distortion optimization based on distortion backward propagation by Hongwei GUO, Ce ZHU, Xu YANG, Lei LUO

“…Rate-distortion optimization (RDO) is a crucial technique in block based hybrid video encoders.However, the widely used independent RDO is far from obtaining optimal coding performance.To improve the rate-distortion (R-D) performance of high efficiency video coding (HEVC), a temporal dependent RDO algorithm was proposed.Firstly, the formula to calculate temporal distortion propagation factor was derived by using an exponential R-D function.Then, the coding distortion and motion compensation predicted error were obtained by pre-encoding, and the temporal distortion propagation factor was estimated by using distortion backward propagation.Finally, the Lagrange multiplier and quantization parameter of coding tree unit were adaptively adjusted to optimize bit resources allocation.Experimental results show that compared with the original RDO method in HEVC under the low-delay configuration, the proposed algorithm achieves an average 4.4% bit rate reduction for all test sequences, and up to 13.0% bit rate reduction for test sequence BasketballDrill, at the same reconstructed video quality.…”
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Kelayakan Modul Submateri Tumbuhan Paku Kelas X SMA dari Hasil Inventarisasi Pteridophyta Kabupaten Sanggau by Patrisia Vika, Syamswisna Syamswisna, Hayatul Fajri

“…The validity of the module teaching materials is calculated based on the Lawshe method. The validation of the fern module teaching materials was carried out by 5 validators consisting of 2 Biology Education lecturers and 3 Biology subject teachers. …”
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Ranking the Return on Assets of Tehran Stock Exchange by a New Method Based on Z-Numbers Data by Maryam Farzam, Mozhdeh Afshar Kermani, Tofigh Allahviranloo, Azim Aminataei

“…The algorithm of this method has simple calculations and it provides satisfactory results for data in different conditions; we use this method in two practical examples. …”
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Comparative Study on Steady and Unsteady Flow in a Centrifugal Compressor Stage by Changhee Kim, Changmin Son

“…It shows that the URANS calculations are necessary to predict the detailed flow structures and performance. …”
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Research of Bump Detection Method of Spiral Bevel Gear Tooth Surface based on Gear Contact Analysis by Xia Hepeng, Deng Xiaozhong, Xu Aijun, Liu Saisai

“…A meshing model of hypoid gear pair is established,and the V,H,J adjustment is solved by changing the offset of the contact zone to obtain the position of the TCA contact zone under the planned path. The V,H,J calculation result is used to guide the rolling inspection experiment. …”
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On the Nature of Elasticity Function: An Investigation and a Kernel Estimation by Komi Agbokou

“…Elasticity at a certain point is usually calculated as ex=dy/dxx/y. Elasticity can be expressed in many forms. …”
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The Relationship Between Consumption Power and GDP Growth in China and Machine Learning Prediction Analysis by Hu Runsong

“…The article also applies univariate and bivariate analyses to calculate the concentration trend and degree of dispersion of GDP and consumption capacity, and it uses regression models to explore the relationship between the two further. …”
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Approximate Super- and Sub-harmonic Response of a Multi-DOFs System with Local Cubic Nonlinearities under Resonance by Yang CaiJin

“…The approximation results are validated by comparing them with the calculations from direct numerical integration of the equation of motion of the original nonlinear system. …”
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Análise geossistêmica e quantificação de perda de solo da bacia do Rio Mutum-Paraná (RO) by Michel Watanabe, Fabiano Antonio de Oliveira, Dorisvalder Dias Nunes, Tatiane Emilio Checchia

“…The soil loss values due hydro erosion calculated for the refered watershed were 0.937 ton/ha year, ten times lower than the natural potential of soil loss, which indicated that the land use that was observed in this study is inadequate to the natural watershed system, whose projected future trend indicates strong scenario of…”
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Novel Evaluation of Fuzzy Fractional Helmholtz Equations by Meshari Alesemi, Naveed Iqbal, Noorolhuda Wyal

“…The series obtained result was calculated and compared to the proposed equations of the actual result. …”
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Flexural behavior of delta and bi-delta cold-formed steel beams: experimental investigation and numerical analysis by Yazid Hadidane, Nadia Kouider, Mohammed Benzerara

“…A nonlinear analysis by finite elements (FE) using the ABAQUS calculation program is carried out, thus making it possible to compare the experimental results with the numerical ones as well as those which are given by the theory proposed by Eurocode 3. …”
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Graph clustering method based on structure entropy constraints by Zhiying ZHANG, Youliang TIAN

“…Aiming at the problem of how to decode the true structure of the network from the network embedded in the large-scale noise structure at the open information sharing platform centered on big data, and furthermore accurate mining results can be obtained in the mining related information process, the method of clustering based on structure entropy was proposed to realize divide the correlation degree of nodes in the graph.A solution algorithm for calculating two-dimensional structural information and a module division algorithm based on the principle of entropy reduction were proposed to divide the nodes in the graph structure to obtain corresponding modules.The K-dimensional structural information algorithm was used to further divide the divided modules to realize the clustering of nodes in the graph structure.An example analysis shows that the proposed graph clustering method can not only reflect the true structure of the graph structure, but also effectively mine the degree of association between nodes in the graph structure.At the same time, the other three clustering schemes are compared, and the experiment shows that this scheme has higher efficiency in execution time and guarantees the reliability of the clustering results.…”
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Strategically Selecting Behaviors That Impact the Problem: An Approach Drawn from Social Marketing by Laura A. Sanagorski Warner, John M. Diaz

“…Using an approach drawn from social marketing to develop activities aimed at changing or maintaining people’s behavior, Extension professionals and other practitioners can prioritize behaviors by mathematically calculating anticipated weights that will help focus efforts around key behaviors with the potential to make the greatest impact. …”
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Metric-based learning approach to botnet detection with small samples by Honggang LIN, Junjing ZHU, Lin CHEN

“…Botnets pose a great threat to the Internet, and early detection is crucial for maintaining cybersecurity.However, in the early stages of botnet discovery, obtaining a small number of labeled samples restricts the training of current detection models based on deep learning, leading to poor detection results.To address this issue, a botnet detection method called BT-RN, based on metric learning, was proposed for small sample backgrounds.The task-based meta-learning training strategy was used to optimize the model.The verification set was introduced into the task and the similarity between the verification sample and the training sample feature representation was measured to quickly accumulate experience, thereby reducing the model’s dependence on the labeled sample space.The feature-level attention mechanism was introduced.By calculating the attention coefficients of each dimension in the feature, the feature representation was re-integrated and the importance attention was assigned to optimize the feature representation, thereby reducing the feature sparseness of the deep neural network in small samples.The residual network design pattern was introduced, and the skip link was used to avoid the risk of model degradation and gradient disappearance caused by the deeper network after increasing the feature-level attention mechanism module.…”
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Determining the variations of monthly wet and dry regimes using Angot index in Ardabil Province by Raoof Mostafazadeh, Roghayeh Asiabi-hir, Seyed Saied Nabavi

“…The aim of this study is to assess and calculation of the Angot inxed in analysis of dry and wet periods of monthly rainfall in rain gauge stations of Ardabil province. …”
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Biomass derived carbon/platinum nanoparticles as electrocatalyst for the hydrogen evolution by Shimaa M. Ali

“…A high catalytic performance is shown by the prepared sample, as indicated by the calculated exchange current density 5.3 mA/cm2, and activation energy, 38.13 kJ/mol. …”
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