Characterization and treatment monitoring of ureagenesis disorders using stable isotopes by Gabriella Allegri, Martin Poms, Nadia Zürcher, Véronique Rüfenacht, Nicole Rimann, Déborah Mathis, Beat Thöny, Matthias Gautschi, Ralf A. Husain, Daniela Karall, Karolina Orchel-Szastak, Francesco Porta, Dominique Roland, Barbara Siri, Carlo Dionisi-Vici, René Santer, Johannes Häberle

“…There were no adverse events, and only minimal amounts of tracer and samples required with a short sample preparation time and analysis. Thus, the method proved to be safe and efficient to monitor UCD patients of variable severity pre- and post-therapy, being suitable as physiological endpoint for development of therapies.…”
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Modeling study of the magnetocaloric behavior of La₀.₆₇Ca₀.₃₃Mn₀.₉₈Ni₀.₀₂O₃ alloys using artificial neural networks by Kawther Laajimi, Emna Ammar Elhadjamor, Radhouane Laajimi, Mehdi Rahmani, Mohamed Hichem Gazzah

“…In this study, we introduce novel approaches for modeling magnetocaloric materials using artificial neural networks (ANNs). Our method aims to establish a standardized framework to evaluate the magnetocaloric effect of polycrystalline La₀.₆₇Ca₀.₃₃Mn₀.₉₈Ni₀.₀₂O₃ alloys obtained by sol-gel method. …”
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Smart solutions for dissolved oxygen control in semi-batch fermenters: A machine learning approach by J. Sumathi, P. Aravind, G. Gandhimathi

“…Aeration is the primary step in effluent treatment. The basic method for determining DO is direct measurement. This study has been carried out in effluent from the paper industry to estimate the performance of dissolved oxygen in a semi-batch lark hygiene fermenter and was oxygenated till saturation at 25 °C under real-time study. …”
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Chemometric and computational modeling of polysaccharide coated drugs for colonic drug delivery by Ahmad Khaleel AlOmari, Khaled Almansour

“…Assessment metrics, such as the coefficient of determination (R²), root mean square error (RMSE), and mean absolute error (MAE), emphasize the MLP model’s exceptional performance. …”
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Reservoir water level prediction using combined CEEMDAN-FE and RUN-SVM-RBFNN machine learning algorithms by Lan-ting Zhou, Guan-lin Long, Can-can Hu, Kai Zhang

“…By integrating the adaptive complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) method and fuzzy entropy (FE) with the new and highly efficient Runge–Kuta optimizer (RUN), adaptive parameter optimization for the support vector machine (SVM) and radial basis function neural network (RBFNN) algorithms was achieved. …”
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A HEN-PPO strategy for home energy management system with reduce EV anxieties by Ajay Singh, B.K. Panigrahi

“…Dynamic and unpredictable factors such as user behavior, ambient conditions, and real-time electricity pricing challenge scheduling residential building loads which are efficiently managed in this approach. To validate the effectiveness of the proposed method, simulation tests were carried out using real-time data distribution of household loads and surrounding temperature. …”
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Hybrid Position-Based and DTN Forwarding for Vehicular Sensor Networks by Fan Li, Lei Zhao, Xiumei Fan, Yu Wang

“…The proposed routing method makes use of vehicle driving direction to determine whether holding or forwarding the packet. …”
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Light Stable Isotopes and Their Ratios in Honey Components by Lev A. Oganesyants, Alexander L. Panasyuk, Dmitriy A. Sviridov, Mikhail Yu. Ganin, Alexey A. Shilkin, Oksana V. Serebryakova

“…The research resulted in a patent (RU2809285C1) for a new method of determining exogenous sugar-containing substances in honey.…”
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Research on Visual Servo Grasping of Household Objects for Nonholonomic Mobile Manipulator by Huangsheng Xie, Guodong Li, Yuexin Wang, Zhihe Fu, Fengyu Zhou

“…Secondly, after summarizing the vision-based autonomous mobile manipulation system as a generalized manipulator, the generalized manipulator’s kinematic model is established, the analytical inverse kinematic solutions of the generalized manipulator are acquired, and a novel active vision based camera calibration method is proposed to determine the hand-eye relationship. …”
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Cooperative UAV Scheduling for Power Grid Deicing Using Fuzzy Learning and Evolutionary Optimization by Yu-Jun Zheng, Zhi-Yuan Zhang, Jia-Yu Yan, Wei-Guo Sheng

“…The algorithm is fully parallelizable and therefore can solve the problem very efficiently based on GPU parallel acceleration. Computational results on real-world problem instances validate the performance of the proposed method compared to the state of the arts.…”
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Effects of position of semi-circular body on melting of a novel B4C/RT44HC PCM nanocomposite in a closed space by Ezgi Gurgenc, Muhammed Gur, Hakan Cosanay, Turan Gurgenc, Hakan F. Oztop

“…The primary objective is to determine how the position of these adiabatic bodies influences the melting behavior, thermal conductivity, and energy storage capacity of the PCM. …”
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Evaluating land suitability for Rhus coriaria L. (Sumac) by habitat suitability model by Masoud ESHGHIZADEH

“…The main objective of this study is to provide a method to determine the suitable areas to develop the R. coriaria cultivation with a case study in Gonabad County of Iran. …”
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Probabilistic Forecasting of Energy Consumption using Bayesian Dynamic Linear Models by Hartika Aulia, Syaharuddin Syaharuddin, Vera Mandailina, Hamenyimana Emanuel Gervas, Hameed Ashraf

“…The study highlights the effectiveness of BDLM in accurately predicting energy consumption through a probabilistic approach that efficiently manages uncertainty. However, the research also emphasizes that BDLM presents limitations and challenges that warrant attention, including the complexity involved in parameter determination and model validation processes, as well as the importance of addressing potential biases and considering factors such as deployment impacts. …”
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Selection of Unmanned Aerial Vehicles by Using Multicriteria Decision-Making for Defence by Mustafa Hamurcu, Tamer Eren

“…Firstly, AHP, a MCDM method, is used to determine the weights of each critical factor. …”
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Longitudinal Hierarchical Control of Autonomous Vehicle Based on Deep Reinforcement Learning and PID Algorithm by Jialu Ma, Pingping Zhang, Yixian Li, Yuhang Gao, Jiandong Zhao

“…Results demonstrate that the longitudinal control method proposed herein adeptly manages vehicle speed and following distance, thus satisfying the safety requirements of AVs.…”
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The Influence Of School Management On Teacher Performance by Zaki Azis Nugroho, Maryam Sulaeman

“…School Management is an activity carried out effectively and efficiently to improve school performance in achieving educational goals, both national goals and institutional goals, the results of which can be seen from several factors as indicators of the performance achieved by the school. …”
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Superstatistical Wind Fields from Pointwise Atmospheric Turbulence Measurements by J. Friedrich, D. Moreno, M. Sinhuber, M. Wächter, J. Peinke

“…Accurate models of turbulent wind fields have become increasingly important in the atmospheric sciences, e.g., for the determination of spatiotemporal correlations in wind parks, the estimation of individual loads on turbine rotor and blades, or the modeling of particle-turbulence interaction in atmospheric clouds or pollutant distributions in urban settings. …”
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Course Scheduling Using Genetic Algorithms Enhanced by Linear Regression for Data Mining Course Participants by Arie Susetio Utami, Agust Isa Martinus, Freddy Wicaksono, Rangga Manggala Yudha

“…The designed scheduling system has a prediction model with high accuracy and a coefficient of determination (R-Sq.) above 95% and RMSE below 10. This scheduling system is efficient, minimizing scheduling conflicts to 0 percent…”
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Development of An Android-Based Guidance And Counseling Service Evaluation Instrument For Senior High School by Raodatul Jannah, Nur Fadhilah Umar, Abdul Saman

“…The method used is research and development (R&D) with the ADDIE development model. …”
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Effect of Underwriter’s Reputation on Performance of small business IPOs by P. Siwach, P. R. Kumar, V. Gupta

“…Overall, the results indicate that, in the longterm, IPOs of Indian small and medium-sized enterprises are over efficient with regard to reputation signals. On the contrary, the calendar-time method and multifactor model indicate the low long-term IPO effectiveness of the SME. …”
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