Optimization of the homogeneous rhodium-catalyzed methanol carbonylation reactor to reduce CO2 emissions by A.H. Oudi, R. Golhosseini

“…Optimization of the homogeneous rhodium-catalyzed methanol carbonylation reactor to reduce CO2 emissions is studied in this line of research. In this paper, the steady-state homogeneous rhodium-catalyzed methanol carbonylation reactor is simulated using Aspen HysysV.9 software, by comparing the simulation results with industrial information, a mean relative error (excluding methanol) of 4.8% was obtained, which indicates the high accuracy of the simulation. …”
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When to start antibiotic therapy in patients with sepsis in the ICU? by V. A. Rudnov, A. U. Lekmanov, V. A. Bagin, M. N. Аstafieva

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Unsupervised Machine Learning Approaches for Test Suite Reduction by Anila Sebastian, Hira Naseem, Cagatay Catal

“…Recent studies have delved into the application of Machine Learning (ML) in the software testing domain, where the high cost and time consumption associated with data annotation have prompted the use of unsupervised algorithms. In this research, we conducted a Systematic Mapping Study (SMS), examining the types of unsupervised algorithms implemented in developed models and thoroughly exploring the evaluation metrics employed. …”
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Distributed Improved RILOS Guidance-Based Formation Control of Underactuated ASVs for Cooperative Maritime Search by Weili Guo, Cheng Liu, Feng Xu, Ting Sun

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Action Recognition in Basketball with Inertial Measurement Unit-Supported Vest by Hamza Sonalcan, Enes Bilen, Bahar Ateş, Ahmet Çağdaş Seçkin

“…Among these, the XGBoost algorithm with a window size of 250 and a 75% overlap yielded the highest accuracy of 96.6%. …”
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The Interfaces Twitter Elections Dataset: Construction process and characteristics of big social data during the 2022 presidential elections in Brazil. by Sylvia Iasulaitis, Alan Demétrius Baria Valejo, Bruno Cardoso Greco, Vinicius Gonçalves Perillo, Guilherme Henrique Messias, Isabella Vicari, with the Interfaces—Center for Sociopolitical Studies of Algorithms and Artificial Intelligence

“…The "token farm" algorithm, was employed to iterate over available API keys. …”
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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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Sistem Klasifikasi Monitoring dan Evaluasi Kelayakan Penerima Beasiswa UAD Menggunakan Algoritma Naïve Bayes by Dyllan Bagus Siswanto, Dwi Normawati

“…This eligibility determination system is needed, utilizing data mining techniques based on previous KIP scholarship recipient data to make predictions. Naïve Bayes algorithm, a data mining technique employing mathematical probability calculations, is utilized. …”
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Secure IoV communications for smart fleet systems empowered with ASCON by Bhuvaneshwari A J, P. Kaythry

“…Nevertheless, with an increasing reliance on the IoV in modern logistics and intelligent fleet systems, cyberattacks on vital supply chain information pose a far greater threat. This research presents the ASCON, a low-power cryptographic algorithm, with the Message Queued Telemetry Transport (MQTT) protocol for secure IoV communications. …”
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A mathematical model for hybrid-electric propulsion system for regional propeller-driven aircraft by Giuseppe Grazioso, Mario Di Stasio, Fabrizio Nicolosi, Salvatore Trepiccione

“…To address the environmental challenges in aviation, this research presents a novel mathematical model for simulating hybrid-electric powerplants in regional propeller-driven aircraft from the early design stages. …”
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Adaptively Implicit Advection for Atmospheric Flows by Hilary Weller, Christian Kühnlein, Piotr K. Smolarkiewicz

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New technique revives direct deconvolution methods for Wellbore storage removal in pressure transient analysis by Mina S. Khalaf, Ahmed H. El-Banbi, M.H. Sayyouh

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Demand Forecasting in Data-Scarce and Resource-Restricted Environments by David Gogelein, Marianne von Schwerin, Thomas Walter

“…With the growing integration of renewable energy technologies, forecasting demand in residential settings is becoming increasingly important. This research addresses the challenge of forecasting energy demand in data-scarce, resource-restricted environments, where traditional static load profiling proves inadequate due to the high variability of energy use. …”
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An Artificial Neural Network Model for Prediction of the Operational Parameters of Centrifugal Compressors: An Alternative Comparison Method for Regression by seyed hossain ebrahimi, Ahmad afshari

“…The network would be trained at least in two scenarios applying by practical data in the neuro solution software version.5 using the Levenberg-Marquadt algorithm and the optimum model is experimentally selected according to R2, MSE and NMSE.…”
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A Study on Blended Teaching Model Evaluation for English Major Courses in Higher Education: An Uncertainty-Based Approach by Chunmei Xue

“…This study is performed to overcome the research gapes which ranking the alternatives without overcoming uncertainty in the decision making problem. …”
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Insect Detection Using mm-Waves: Integrated Communication and Biodiversity Sensing Based on Micro-Doppler Effects by Linta Antony, Nicola Marchetti, Ian Donohue, Adam Narbudowicz

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Topographic Precipitation Diagnosis: Model Design and Validation in a Two-Dimensional Context by Xiangqian Wei, Yi Liu, Cong Cheng, Xinyu Chang, Jun Guo

“…The model effectively captures the influence of topography on the atmospheric flow field, offering a new research tool for the in-depth investigation of atmospheric dynamic phenomena under complex terrain conditions. …”
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Health risks associated with infertility and non-obstructive azoospermia by Eric Huyghe, Peter Ka-Fung Chiu

“…Findings indicate that infertile men are at a higher risk of death, various cancers (particularly testicular cancer), metabolic syndrome, diabetes, hypogonadism, and cardiovascular disease. Although research specifically addressing azoospermia is limited, available studies support the notion that men with this condition may experience heightened health vulnerabilities. …”
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Empirical Analysis of the Effectiveness of the Inflation Channel of Monetary Policy in the Russian Federation by I. S. Ivanchenko, G. A. Bondarenko, G. V. Pavlenko

“…Currently, researchers are particularly interested in studying the influence of the dynamics of various financial variables on the pace of economic development. …”
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Improving Performance of QoS Applications for Wireless Networks by Pingping Dong, Jianxin Wang, Jiawei Huang, Haodong Wang, Yi Pan

“…The problem exacerbates when the traffic asymmetry between the uplink and the downlink is present. While prior research works proposed various mechanisms to alleviate the issue, little was done to specifically address the appropriate parameter setting in a real world network. …”
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