Study on River System Flood Forecasting Scheme for Longtan Hydropower Station Interval in Hongshui River by DU Yong, FU Yupeng, WEI Yongjiang, LI Zongtai

“…Longtan Hydropower Station is a flood control project in the Pearl River Basin,but there is currently a lack of a comprehensive river system flood forecasting scheme.In order to give full play to the flood control and storage function of Longtan Hydropower Station,tributary control stations such as Leigongtan,Moyang,Pinglihe,Pinghu,and Xianrenqiao are selected,and the key areas of concern are determined through the analysis of important sub-intervals.The river system flood forecasting scheme for the Longtan Hydropower Station interval is constructed by using the Xin'an River three-source runoff generation model,three-source lag routing convergence model,and Maskingen convergence algorithm.The research results show that the proportion of the maximum inflow flood volume of Longtan Hydropower Station is usually in uncontrolled intervals,followed by the tributaries in Guizhou Province (Mengjiang River,Bawang River,Caodu River,and Liudong River),which are the focus of flood forecasting.The total average relative peak flow error and the average relative flood volume error in the river system flood forecasting scheme are both 10%,and the average deterministic coefficients are above 0.75.The overall results are relatively accurate.Therefore,the river system flood forecasting scheme for the Longtan Hydropower Station interval can be applied to real-time flood operation forecasting,and it lays a solid foundation for further improving the “forecast,early warning,rehearsal,and contingency plan” capability.…”
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Effective Analytical Computational Technique for Conformable Time-Fractional Nonlinear Gardner Equation and Cahn-Hilliard Equations of Fourth and Sixth Order Emerging in Dispersive... by Mohammed Al-Smadi, Shrideh Al-Omari, Yeliz Karaca, Shaher Momani

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Funding the future: Nigeria's battle against poverty through government expenditure by Temitope Adebayo

“…This study investigates the effectiveness of government expenditure in combating the incidence of poverty in Nigeria from 1981 to 2022, employing a Vector Error Correction Model (VECM) framework. The research analyzes the relationship between poverty incidence and key variables including government expenditure, GDP per capita, Agricultural Credit Guarantee Scheme Fund (ACGSF), and gross enrollment ratio in secondary education. …”
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Estimation of daily global solar irradiance from the air temperature in the state of Paraná, Brazil by Carolina K. Sgarbossa, Jorim S. das Virgens Filho

“…The performance of each model was assessed using the indices Pearson correlation coefficient (r), mean bias error (MBE), root mean square error (RMSE), Wilmott concordance index (d), performance index (c) and the Nash-Sutcliffe efficiency (NSE) coefficient. …”
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Analisis Pengalaman Pengguna Game Visual Novel Asal Usul Kota Surabaya Menggunakan Metode Usability Testing by Ashafidz Fauzan Dianta, Artiarini Kusuma Nurindiyani, Zakha Maisat Eka Darmawan

“…The results of this user experience analysis research overview several usability aspects that should be concerned in the subsequent game development. …”
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Whole fungal elicitors boost paclitaxel biosynthesis induction in Corylus avellana cell culture. by Mina Salehi, Ahmad Moieni, Naser Safaie, Siamak Farhadi

“…Based on value account for (VAF), root mean square error (RMSE), coefficient of determination (R2), mean absolute percentage error (MAPE) and relative percent difference (RPD) can be concluded that mentioned regression models effectively worked only for modeling and predicting extracellular paclitaxel portion in C. avellana cell culture.…”
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A two-stage forecasting model using random forest subset-based feature selection and BiGRU with attention mechanism: Application to stock indices. by Shafiqah Azman, Dharini Pathmanathan, Vimala Balakrishnan

“…The heteroscedastic and volatile characteristics of stock price data have attracted the interest of researchers from various disciplines, particularly in the realm of price forecasting. …”
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Two-Dimensional Reconstructed Image of a Subsurface Structure Using Continuous Scanned Photothermal Imaging by Moojoong Kim, Hyunjung Kim

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Speed and Direction Control Enhancement for Four-Wheel Drive System using Finite-Time Control by Sarkar Jawhar M Shareef, Fadhil Toufick Aula

“…The comparison is based on controlling parameters such as settling time, maximum overshoot, and speed error values. The results showed that the proposed FTC has a much faster settling time, significantly less maximum overshoot, and much lower error values than the PID controller. …”
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The Design and Evaluation of an Ergonomic Contactless Gesture Control System for Industrial Robots by Gilbert Tang, Phil Webb

“…In industrial human-robot collaboration, variability commonly exists in the operation environment and the components, which induces uncertainty and error that require frequent manual intervention for rectification. …”
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Environment attitudes and social influence of sustainable practices: a study on consumer behaviour in Zimbabwe by Reason Masengu, Patson Chawuruka, Chenjerai Muchenje

“…The model indicate higher prediction values for Q 2=0.339-0.366 and lower predicted mean squared error/mean absolute error (PMSE/MAE), indicating better prediction performance. …”
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Machine learning approaches for forecasting compressive strength of high-strength concrete by Mohammed Shaaban, Mohamed Amin, S. Selim, Islam M. Riad

“…To optimize the models, hyperparameters were tuned, and measures such as Mean Absolute Error (MAE), Mean Squared Error (MSE), and R-squared were used for evaluation. …”
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Enhancing the e-commerce shopping experience with IoT-enabled smart carts in smart stores by Jian Wang

“…Key performance metrics, including the correlation coefficient and mean squared error, are used to assess the model. The results indicate that higher regression and convergence levels, approaching one, correspond to improved network performance and reduced error rates. …”
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Improving the trial efficiency of criminal cases with the assistance of artificial intelligence by Qingxia Chen

“…Results showed that AI-assisted trials reduced average trial time by 40% and reduced error rates by 55% compared to traditional methods. …”
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An Energy Efficient Localization-Free Routing Protocol for Underwater Wireless Sensor Networks by Abdul Wahid, Dongkyun Kim

“…Recently, underwater wireless sensor networks (UWSNs) have attracted much research attention from both academia and industry, in order to explore the vast underwater environment. …”
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Quantum machine learning: A comprehensive review of integrating AI with quantum computing for computational advancements by Raghavendra M Devadas, Sowmya T

“…Even though this approach holds so much promise, significant challenges remain to be addressed-noisy qubits, error correction, and limitations in data encoding-that must be overcome by interdisciplinary research soon. …”
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Numerical Simulation and Experimental Study of Flat Microheat Pipe Radiator for Metro Converter by Mu Fusheng, Wang Haijun, Jiang Lexin, Chen Xiao, Chen Liufa

“…Furthermore, there is a good agreement between the results of the numerical simulation and experiments, as indicated by the maximum temperature error of 7.07%. Practically, this study provides an important research method that could be a basis for the design and application of flat-plate microheat pipe radiator.…”
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On Medical Standardisation in Times of Scientific Uncertainty: The Management of Flu Epidemics by the French Military Medical Service After the World Pandemic (1920s–30s) by Benoît Pouget

“…The article highlights how the proximity between military and civilian actors involved in the production of norms and standards enables us to observe a gradual alignment between medical theories, laboratory research, bedside clinics, preventive measures and treatments used with technical, bureaucratic and organizational systems for the benefit of public health policy. …”
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The Impact of Cognitive Biases on Corporate Decision-Making: Analysis and Mitigation Strategies by He Ruoyan

“…This paper analyzes three cognitive biases-confirmation bias, fundamental attribution error, and conformity bias-and explores their effects and consequences on corporate decision-making. …”
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Detection and segmentation framework for defect detection on multi-layer ceramic capacitors by Hyun-Jae Kim, Sung-Bin Son, Heung-Seon Oh

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