Petroleum Profit and Excise Duties Taxes as Determinants of Economic Development in Nigeria by Edesiri Okoro

“…This paper investigated the extents to which petroleum profit and excise duties taxes serve as determinants of Nigerian economic development. Ex-post facto research design was used and secondary was obtained from the Central Bank of Nigeria statistical bulletin from 1993-2023. …”
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Application of Harris Hawks Optimization Algorithm in Optimization of Generalized Nonlinear Muskingum Parameters ——A Case Study of the Luohe River by CHEN Haitao, ZHAO Zhijie

“…The Muskingum model plays an important role in river flood simulation,and its simulation accuracy relies on the optimal selection of parameters.To address the current challenges in parameter calibration for the Muskingum model,such as complex solution processes and low accuracy,the use of the Harris Hawks optimization (HHO) algorithm was proposed to optimize its parameters.HHO algorithm has a wide range of global search capabilities,with fewer parameters to be adjusted.Taking Luohe River,a tributary of the Yellow River,as the research object,the generalized nonlinear Muskingum model was used to simulate the flood in the Yiyang-Baimasi section of the river.The parameters were optimized by employing the HHO algorithm,particle swarm optimization (PSO) algorithm,and ant colony optimization (ACO) algorithm,respectively.The results show that the generalized nonlinear Muskingum model based on the HHO algorithm achieved high simulation accuracy in the Yiyang-Baimasi section of the Luohe River,with a Min.SSD of 1 237 and the flood peak error (DPO) of only 5,outperforming those obtained through optimization using PSO algorithm and ACO algorithm.The results are suitable for application in flood forecasting in the Yiyang-Baimasi section of the Luohe River.…”
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Wet aggregate stability modeling based on support vector machine in multiuse soils by Ruizhi Zhai, Jianping Wang, Deshun Yin, Ziheng Shangguan

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Microservice combination optimisation based on improved gray wolf algorithm by Jingjing Hu, Xiaojun Xu, Jin Hao, Xiuqi Yang, Kefan Qiu, Yuanzhang Li

“…It proves that the research in this paper has a high advantage in automatically searching for the best QoS for the microservice combination problem.…”
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Pengaruh Klientilisme terhadap Perilaku Pemilih Masyarakat Kecamatan Sukatani pada Pilkada Kabupaten Bekasi 2012 by Ainur Rofieq, Rahmat Nuryono

“…<p>This research is motivated by the election of Neneng Hasanah Yasin-Rohim Mintareja who defeated incumbent regional head and deputy head of the Bekasi area in the elections of 2012. …”
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Delay Analysis of Atlas Sports Club Project Based on FTA and ETA by Devita Sari, Hamonangan Girsang

“…The study found that work method error was the dominant factor with a probability of 0.8987. …”
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The impact of the temperature and exploitation time on the tensile properties and plain strain fracture toughness, KIc in characteristic areas of welded joint by Simon Sedmak, Ivica Čamagić, Aleksandar Sedmak, Zijah Burzić, Mihajlo Aranđelović

“…The testing of plane strain fracture toughness is conducted in order to determine the critical stress intensity factor, KIc, that is, assessment of behavior of the new and exploited parent metal, welded metal and heat affected zone from the side of the new parent metal and from the side of the exploited parent metal in the presence of the crack type error. Based on the research results, the analysis of the resistance to brittle fracture represents the comparison of obtained values for characteristic areas of welded joint and justification of the selected welding technology.…”
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New Class of Estimators for Finite Population Mean Under Stratified Double Phase Sampling with Simulation and Real-Life Application by Abdulaziz S. Alghamdi, Hleil Alrweili

“…Using a first-order approximation, the properties of the suggested class of estimators are investigated within the context of a stratified two-phase sampling framework. A simulation research is conducted to examine the practical performance of these estimators in order to validate the theoretical conclusions. …”
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Adaptive Steganography Using Improve Bit-plane Complexity Segmentation by Noor Gassan Abdullah, Shahd Abdulrhman Hasso

“…The goal of content-adaptive steganography is to conceal data inside the image's intricate texture. This research introduces an improved algorithm for concealing messages within color images. …”
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Value learning and arousal in the extinction of probabilistic rewards: the role of dopamine in a modified temporal difference model. by Minryung R Song, Jean-Marc Fellous

“…Midbrain dopamine neurons were suggested to play a role in both arousal and learning reward values. Despite extensive research on modeling dopaminergic activity in reward learning (e.g. temporal difference models), few studies have been done on modeling its role in arousal. …”
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Corrigendum: Bobinac M, Šušić N, Šijačić-Nikolić M, Kerkez Janković I, Veljović-Jovanović S., Photosynthetic insights into winter-green leaves in Quercus pubescens Willd. seedlings... by Editoral

“…Arch Biol Sci. 2024;76(2):223-32. have notified the Editorial Office of an error in the Funding section. The name “Ministry of Education, Science and Technological Development of the Republic of Serbia” was incorrectly stated and should instead read “Ministry of Science, Technological Development and Innovation of the Republic of Serbia.” …”
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Effectiveness of Explainable Artificial Intelligence (XAI) Techniques for Improving Human Trust in Machine Learning Models: A Systematic Literature Review by In-On Wiratsin, Chaiyong Ragkhitwetsagul

“…The results indicate that XAI techniques significantly enhance user confidence by making ML models more transparent and understandable, facilitating error identification, and promoting better decision-making. …”
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Long-Range Scalar Forces in Five-Dimensional General Relativity by L. L. Williams

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Forecasting arctic sea ice extent trend using time series models: NNAR, SARIMA and SARIMAX using the data prior to the COVID-19 pandemic by Benoit Ahanda, Türkay Yolcu, Rachel Watson

“…Abstract This research paper aims to examine the patterns of Arctic sea ice extent (ASIE) between 1979 and 2020 by using monthly data acquired from NSIDC. …”
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Synthetic Nucleotides as Probes of DNA Polymerase Specificity by Jason M. Walsh, Penny J. Beuning

“…The genetic code is continuously expanding with new nucleobases designed to suit specific research needs. These synthetic nucleotides are used to study DNA polymerase dynamics and specificity and may even inhibit DNA polymerase activity. …”
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Evaluation of Artificial Neural Network Model for Predicting Nitrogen Oxides (NOₓ) Concentration by Muhammad Farrih Mahabbataka Arsyada, Raras Tyasnurita

“…Nitrogen Oxides (NOₓ) are air pollutants that require serious attention due to their potential negative impacts on human health, the environment, and the economy. This research is crucial to provide accurate predictive models of NOₓ concentration, which can serve as a foundation for decision-making and effective air pollution mitigation measures. …”
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Predicting shear capacity of Recycled Aggregate Concrete beams using Artificial Neural Network by Ha HOANG, Tuan-Dung PHAM, Xuan-Tung NGUYEN, Minh Van NGO

“…Various statistical criteria were employed to assess the model’s accuracy and reliability in predicting shear strength, including metrics that measure goodness of fit, error rates, and predictive consistency. This research highlights the growing potential of machine learning techniques in civil engineering, particularly for enhancing the precision of shear strength predictions for RAC beams. …”
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Utilizing machine learning to predict MRI signal outputs from iron oxide nanoparticles through the PSLG algorithm by Fatemeh Hataminia, Anahita Azinfar

“…Abstract In this research, we predict the output signal generated by iron oxide-based nanoparticles in Magnetic Resonance Imaging (MRI) using the physical properties of the nanoparticles and the MRI machine. …”
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Taming the chaos gently: a predictive alignment learning rule in recurrent neural networks by Toshitake Asabuki, Claudia Clopath

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Fault-tolerant adaptive attitude tracking control of satellite with uncertainty and actuator misalignment in presence of environmental disturbances by Mohammadjavad Hatami, Reza Nadafi, Mansour Kabganian

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