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PENGARUH BIAYA OPERASIONAL, BIAYA PRODUKSI DAN PENJUALAN TERHADAP LABA BERSIH
Published 2024-01-01“… The study aims to analyze the effect of operating costs, production costs and sales on net profit. Net profit is the profit obtained from the amount of income deduction with tax withholding expenses. …”
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IMPROVED TIME DOMAIN BLIND DECONVOLUTION ALGORITHM IN BEARING FAULT DIAGNOSIS
Published 2016-01-01Get full text
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A Stock Dividend Model Applying the Value Creation Approach in Iran’s Capital Market: The Generalized Method of Moments
Published 2024-06-01“…The stock dividend of the previous period, financial leverage, growth opportunities, changes in net working capital, uncertainty of cash flows, and inflation rate negatively impact stock dividends. …”
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QTFN: A General End-to-End Time-Frequency Network to Reveal the Time-Varying Signatures of the Time Series
Published 2024-09-01“…Finally, although the model is only trained by synthetic signals, both synthetic and real-world signals are tested to validate the generalization capability and superiority of the proposed QTFN.…”
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Prevalence of malaria and associated factors among febrile children under 15 years at Bududa General Hospital, Eastern Uganda
Published 2025-02-01“…Health education on the correct use of insecticide-treated mosquito nets should be prioritized to help control malaria.…”
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Covariate-adjusted construction of gene regulatory networks using a combination of generalized linear model and penalized maximum likelihood.
Published 2025-01-01“…The penalized maximum likelihood under a lasso or elastic net penalty is applied on the residual of fitted GLM to find the sparse precision matrix. …”
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Challenges Associated with Negative Pressure Pulmonary Oedema: A Case Report and Review
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Spectrum sensing method based on residual dense network
Published 2021-12-01“…Aiming at the problem that the traditional spectrum sensing method based on convolutional neural network(CNN) did not make full use of image feature and the ability of extracting the image feature was limited by the shallow network structure, a spectrum sensing method based on the residual dense network (ResDenNet) was proposed.By adding dense connections in the traditional neural network, the information reuse of the image feature was achieved.Meanwhile, shortcut connections were employed at both ends of the dense unit to implement deeper network training.The spectrum sensing problem was transformed into the image binary classification problem.Firstly, the received signals were integrated into a matrix, which was normalized and transformed by gray level.The obtained gray level images were used as the input of the network.Then, the network was trained through dense learning and residual learning.Finally, the online data was input into the ResDenNet and spectrum sensing was implemented based on image classification.The numerical experiments show that the proposed method is superior to the traditional ones in terms of performance.When the SNR is as low as -19 dB, the detection probability of the proposed method is still high up to 0.96 with a low false alarm probability of 0.1, while a better generalization ability is displayed.…”
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Satisfaction toward Quality of Care and Associated Factors among Patients Admitted to Gambella General Hospital, Gambella Region, Southwest Ethiopia
Published 2022-01-01“…Result. The proportion of net patient satisfaction among the total of 271 respondents was 40.2% (95% CI: 34.36–46.04%). …”
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A comparative framework to develop transferable species distribution models for animal telemetry data
Published 2024-12-01“…SDMs were fitted as resource selection functions and trained on data from the Gulf of Mexico with bathymetric depth, net primary productivity, and sea surface temperature as covariates. …”
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Development of general approach to optimal design of high-tech energy-efficient electrical systems based on low-speed synchronous magnetoelectric machines
Published 2019-12-01“…The paper suggests a general approach to creating hightech energy-efficient electrical systems based on low-speed synchronous magnetoelectric machines. …”
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An Improved Method for Enhancing the Accuracy and Speed of Dynamic Object Detection Based on YOLOv8s
Published 2024-12-01Get full text
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