BEBERAPA FAKTOR YANG MEMPENGARUHI REALISASI PENERIMAAN PAJAK STUDI PADA KANTOR PELAYANAN PAJAK PRATAMA SERPONG by Abdullah - Mubarok

“…While the statistical analysis used is the classic assumption test, multiple linear regression equation, correlation coefficient, multiple determination, and ujui f t test to determine the relationship and influence of these three variables.The results of the study using multiple linear regression statistical analysis showed the coefficient is positive, While the calculation of multiple correlation coefficient test showed tax penalties (x1) and the tax inspection agency (x2) have influence is in tax revenue (y) on STO Serpong. …”
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Spectral Reflectance Recovery from Tristimulus Values under Multi-Illuminants by Guangyuan Wu, Linyong Qian, Guichun Hu, Xiaozhou Li

“…To compare the experimental results, the proposed method significantly increases the spectral and colorimetric accuracy for the spectral reflectance recovery process.…”
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UAV deployment and caching scheme based on user preference prediction by Jiazhi REN, Hui TIAN, Shaoshuai FAN, Yuanzhuo LIN, Gaofeng NIE, Jilong LI

“…In order to design an efficient edge caching policy considering spatial heterogeneity and temporal fluctuations of users’ content requests,a proactive caching scheme was proposed with UAV’s deployment location design based on user preference prediction.Firstly,each user’s preference characteristics were predicted based on file similarity and user similarity,and the request time and user location were also predicted when a content request occurs.Thereafter,on the basis of the predicted geographical location,request time and user preference,each UAV’s deployment location and the corresponding content placement were determined by virtue of clustering method based on SOM and AGNES.Simulation results show that the proposed scheme outperforms other three comparison schemes in terms of hit ratio and transmission delay.Furthermore,the results also reveal that content preference is correlated with different user features by different weights.Accordingly,different impact weights should be matched with different user features.…”
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Design of New Generation Low-Cost Dip Coating Device and Performance Tests in ZnO Thin Film Production by Eda Günel, Fatih Bulut

“…In this study, a dip coating device was designed using low-cost materials and performance tests were performed. The dip coating method is an efficient coating technique used to dip samples into chemical solutions and produce thin films. …”
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Facile Preparation of Silver Halide Nanoparticles as Visible Light Photocatalysts by Linfan Cui, Tifeng Jiao, Qingrui Zhang, Jingxin Zhou, Qiuming Peng

“…In this study, highly efficient silver halide (AgX)-based photocatalysts were successfully fabricated using a facile and template-free direct-precipitation method. …”
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Research on Dynamic Optimization Control Strategy With the Synergistic Participation of Wind Power and Energy Storage System for Power Grid by Xi-Lin Zhao, Ze-Lin Gui, Chu-Feng Gong, Xiao-Yu Ye

“…The simulation results show that the control method proposed in this paper was feasible and efficient.…”
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Recommendations development for the selection of information models of air conditioning in special purpose automated control systems by С.І. Хмелевський, В.В. Сай, А.В. Самокіш, О.М. Чекунова

“…Practical researches on the basis of the developed software product which have confirmed efficiency of this method for a choice of information models are carried out. …”
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Separation and Preconcentration of Trace Amounts of Manganese and Nickel from Natural Water Samples by a Diimine Derivative Schiff Base-Coated Silica-Gel Minicolumn by Reyhaneh Rahnama, Mohammad Reza Jamali

“…An efficient method for preconcentration of trace amounts of Mn (II) and Ni (II) ions by using a minicolumn (10 mm × 30 mm i.d.) filled with a diimine derivative Schiff base on silica-gel has been reported. …”
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A novel time difference of arrival localization algorithm using a neural network ensemble model by Zhenkai Zhang, Feng Jiang, Boyuan Li, Bing Zhang

“…Finally, the weighted average method is improved to combine the outputs of the different individual neural network, where weights are determined by the training errors. …”
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Fragmented software‐based self‐test technique for online intermittent fault detection in processors by Vasudevan Matampu Suryasarman, Santosh Biswas, Aryabartta Sahu

“…A study of fragmented SBST testing approaches is conducted to select the most efficient fragmented testing strategy. For the selected fragmented SBST method, a reliable set of SBST code fragments with minimal fault detection latency is determined. …”
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Target Mining and Recognition of Product Form Innovation Design Based on Image Word Similarity Model by Qinwei Zhang, Zhifeng Liu, Xinxin Zhang, Chunyang Mu, Shuo Lv

“…Due to the subjectivity, low efficiency, and low level of intelligence in the existing product form innovation design methods in the mining of design goals. …”
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Offshoring Location Decision in Fuzzy Environment by Mehmet Şahin

“…Offshoring location selection is a crucial decision for firms in terms of competitiveness, flexibility, productivity, and profitability. Determining an efficient and appropriate location for offshoring has been a substantial multicriteria decision-making (MCDM) problem. …”
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The Impact of Vertebroplasty on Sagittal Parameters in Traumatic Thoracic Vertebral Fractures by Kemal PAKSOY

“…Our objective in the study was to reveal the impact of vertebroplasty that was applied to compression fractures due to trauma on sagittal parameters. Material and Method: Twenty patients were included in the study. …”
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Formula and Technology Development for Obtaining Biologically Active Natural Food Additives by Smirnov S., Fazullina O.

“…The advantage of the technology lies in the use of natural components and special processing methods of BAS preservation. The research included the method of water-activated granulation while 20% ethyl was used as a wetting agent. …”
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Dynamic Study of VSA and TSA Processes for VOCs Removal from Air by Rawnak Talmoudi, Amna AbdelJaoued, Mohamed Hachemi Chahbani

“…Experimental adsorption isotherms of the two VOCs are determined at three different temperatures 298, 313, and 323 K by the dynamic column breakthrough method. …”
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Synergistic Artificial Intelligence framework for robust multivariate medium-term wind power prediction with uncertainty envelopes by Bo Wu, Xiuli Wang, Bangyan Wang, Yaohong Xie, Shixiong Qi, Wenduo Sun, Qihang Huang, Xiang Ma

“…The vertical–horizontal process integrates the Polar Lights Optimizer with Joint Opposite Selection and a regression model based on the bidirectional long short-term memory and the gated recurrent unit, enabling efficient hyperparameter optimization and yielding a determination coefficient above 0.9996 for training data and a normalized root mean square error of 0.2448 for test data. …”
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Prediction and analysis of power consumption and power loss at industrial facilities by E. Y. Abdullazyanov, E. I. Gracheva, A. Alzakkar, M. F. Nizamiev, O. A. Shumikhina, S. Valtchev

“…Conduct a study to improve the reliability of forecasting the magnitude of power consumption and power losses at an industrial enterprise.METHODS. Methods are used to determine and predict the parameters of consumption and losses of electricity at industrial facilities.RESULTS. …”
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Nonlinear Local Deformations of Erythrocyte Membranes: Normal Erythrocytes (Part 1) by A. M. Chernysh, E. K. Kozlova, V. V. Moroz, V. A. Sergunova, O. E. Gudkova, A. P. Kozlov, E. A. Manchenko

“…Investigation of mechanical properties of erythrocyte membranes is a pressing issue in practical reanimatology and rehabilitation, because erythrocyte's ability to deform determines the possibility of their passage through capillary network and blood rheology in general.The purpose of the work: to study the process of nonlinear deformation of membranes of normal erythrocytes by the method of atomic force spectroscopy.Materials and Methods. …”
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Interpretable machine learning approach for TBM tunnel crown convergence prediction with Bayesian optimization by Wanrui Hu, Kai Wu, Kai Wu, Heng Liu, Weibang Luo, Xingxing Li, Peng Guan

“…Validation using data from a TBM water conveyance tunnel in Xinjiang, China, confirmed the method’s practical utility, positioning it as an effective auxiliary tool for safer and more efficient TBM tunnel construction.…”
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Modeling study of the magnetocaloric behavior of La₀.₆₇Ca₀.₃₃Mn₀.₉₈Ni₀.₀₂O₃ alloys using artificial neural networks by Kawther Laajimi, Emna Ammar Elhadjamor, Radhouane Laajimi, Mehdi Rahmani, Mohamed Hichem Gazzah

“…The model showed outstanding performance with a coefficient of determination (R²) of 0.999241 and a root mean square error (MSE) of 0.003472. …”
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