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Psychological well-being, gender, and age-specific difference on objectively recorded smartphone screen time in Japanese adults: A regression and clustering analysis
Published 2025-03-01“…Methods: We conducted psychological tests, obtained participants’ weekly screen times, and performed ordinary least squares (OLS) regression and k-means clustering. …”
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SAR Radiometric Cross-Calibration Based on Multiple Pseudoinvariant Calibration Sites With Extensive Backscattering Coefficient Range
Published 2025-01-01“…In addition, the backscattering coefficient's time-series root mean square error (RMSE) is leveraged to identify stable targets. …”
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EFFECT OF CLIMATE CHANGE ON AGRICULTURAL SECTOR: EVIDENCE FROM NIGERIA
Published 2024-08-01“…The fully modified ordinary least squares (FMOLS) estimator was employed for estimation of the specified model. …”
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Practical analysis of using PPPH and raPPPid for Precise Point Positioning in Europe
Published 2025-06-01“…The data were post processed by PPPH and raPPPid programs and a comparison was made to evaluate the results accuracy produced by each software and the ones acquired from MGEX stations. Convergence time was also estimated. By comparing the root mean square error (RMSE) values for North, East and Up directions estimated by PPPH and raPPPid, it was found that raPPPid gives more accurate results where the RMSE in N direction estimated by raPPPid varied from 0.5 cm to 1.9 cm; however, RMSE in N direction estimated by PPPH varied from 0.7 cm to 2.8 cm. …”
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REAL TIME ASSESSMENT OF 500-KVA, 11/0.415 KV DISTRIBUTION TRANSFORMER SITUATED AT BELLS UNIVERSITY OF TECHNOLOGY, OTA, OGUN STATE USING FLUKE 435 SERIES II
Published 2020-06-01“…The parameters measured on real time include phase to neutral voltage, phase to phase voltage, root mean square and peak current, frequency, active power, reactive and apparent power and line power factor. …”
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Randomized radial basis function neural network for solving multiscale elliptic equations
Published 2025-01-01“…The comparative analysis demonstrates the RRNN’s superior performance with respect to computational accuracy and training time. Furthermore, it is contrasted with to local extreme learning machine method, which also utilizes domain decomposition and the least squares method. …”
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Aroma profiling of long shelf-life yoghurt from milk with varying acidity: Insights from sensory evaluation and instrumental analysis
Published 2025-01-01“…In this study, the aroma components of long shelf-life yoghurt produced from milk with varying acidity levels were identified using the Stir Bar Sorptive Extraction (SBSE) coupled with comprehensive two-dimensional gas chromatography−olfactometry−mass spectrometry technology (GC × GC-O-MS) for the first time. A total of 16 and 12 aroma-active compounds were characterized in long shelf-life yoghurt and milk, respectively, through qualitative analysis. …”
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CDMA/OTFS Sensing Outperforms Pure OTFS at the Same Communication Throughput
Published 2025-01-01“…There is a dearth of publications on the subject of spreading-aided Orthogonal Time Frequency Space (OTFS) solutions, especially for Integrated Sensing and Communication (ISAC), even though Code Division Multiple Access (CDMA) assisted multi-user OTFS (CDMA/OTFS) exhibits tangible benefits. …”
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A Novel Hybrid GCN-LSTM Algorithm for Energy Stock Price Prediction: Leveraging Temporal Dynamics and Inter-Stock Relationships
Published 2025-01-01“…Experimental evaluations across multiple energy stocks show that this combined LSTMGC model significantly outperforms conventional approaches- including Linear Regression, GRU, MLP, and standalone LSTMs- when assessed using Mean Squared Error (MSE) and R-squared (R2) metrics. By jointly leveraging spatial and temporal dependencies, as well as the selective attention mechanism, the proposed framework enhances predictive accuracy and reliability, offering valuable insights for investors and policymakers navigating the evolving energy market.…”
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PENGUKURAN MODULUS YOUNG SENAR PANCING DENGAN METODE ANALISIS FREKUENSI DAWAI
Published 2020-12-01“…After obtained the average wave velocity value of the fishing line the Modulus Young value can be determined by the equation of the square wave velocity relationship times the mass per length times the cross-sectional area. …”
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Clinico-demographic factors affecting mortality in COVID-19 patients at a health care facility, Western Uttar Pradesh
Published 2025-01-01“…In hazard analysis, geriatric patients had 4.358 times more hazard of death. Patients with diabetes and hypertension had two times higher hazard of death than patients without these comorbidities. …”
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Assessment of Patient Satisfaction With MRI Department Services and Staff in Saudi Hospitals
Published 2025-02-01“…However, satisfaction with waiting times was lower, with 66.1% of patients expressing satisfaction. …”
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Analysis of Contributing Factors to Stunting in Poso Regency: A Perspective from the Special Stunting Handling Index
Published 2024-11-01“…Results: Results indicate a significant association between stunting and the child's gender, maternal education, immunization, and breastfeeding. Boys face a 2.3 times higher risk of stunting, while children of mothers with primary education have a 4.7 times higher risk compared to those with higher education. …”
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NORTHERN IRISH ADOLESCENTS’ ATTITUDES TOWARDS LEARNING A FOREIGN LANGUAGE: WHAT CAN WE LEARN FROM THEM?
Published 2019-02-01“…The Chi-Square test was used in order to test the five hypotheses proposed in this study. …”
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Adaptive temporal-difference learning via deep neural network function approximation: a non-asymptotic analysis
Published 2025-01-01“…In particular, AdaBNTD is capable of converging to the global optimum of the mean square projection Bellman error (MSPBE) with a convergence rate of $${{\mathcal {O}}}(1/\sqrt{K})$$ O ( 1 / K ) , where K denotes the iteration count. …”
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