Mean-Field-Type Transformers by Hamidou Tembine, Manzoor Ahmed Khan, Issa Bamia

“…For instance, the variance reduction in error within generative machine intelligence is a mean-field-type problem and does not involve an infinite number of decision-makers. …”
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Electric Vehicle Charging Load Forecasting Method Based on Improved Long Short-Term Memory Model with Particle Swarm Optimization by Xiaomeng Yang, Lidong Zhang, Xiangyun Han

“…During the winter–spring transition, the MAE is 3.806, which is 6.03% lower than that of the LSTM model and 12.81% lower than that of the GRU model. …”
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Evaluating the Effectiveness of Artificial Intelligence in Prostate Cancer Detection using Biparametric Magnetic Resonance Imaging: A Comparative Study by Rossy Vlăduţ TEICĂ, Ioana Andreea GHEONEA

“…The software proved beneficial in 94 cases (52%) by reducing lesion identification time by 10-15% and prompted a reassessment of initial diagnoses in seven cases (4%). Among the 49 errors recorded by Mediaire's AI, 57% occurred in the transitional zone and 43% in the peripheral zone. …”
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Computational Fluid Dynamics Analysis of Ballast Water Treatment System Design by Andro Rak, Tomislav Mrakovčić, Goran Mauša, Lado Kranjčević

“…., ST_3 and ST_4) improve velocity uniformity and maintain the relative <i>Q</i> distribution errors below 8.5%. This study identifies vortical structures generated by sharp geometrical transitions as primary contributors to flow instability. …”
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Digital inclusion for a sustainable future: Catalysing green economic growth by Oleksii Lyulyov, Tetyana Pimonenko, Aleksy Kwilinski

“…Cross-border collaboration within the EU is essential for sharing best practices and fostering synergies between digital and green transitions.…”
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Rapid analysis of temperature fields in electronic enclosures based on the finite difference thermal resistance network method by Xiaoyue Zhang, Yinmo Xie, Bing Liu, Yingze Meng, Kewei Sun, Guangsheng Wu, Jianyu Tan

“…Firstly, an experimental system for thermal analysis of a phase transition module was constructed to verify the feasibility of this model. …”
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Continuous prediction of human knee joint angle using a sparrow search algorithm optimized random forest model based on sEMG signals by Liuyi Ling, Zhu Lin, Bin Feng, Liyu Wei, Li Jin, Yiwen Wang

“…In the four motion mode experiments, the SSA-RF model achieved a minimum root-mean-square error of 1.569° for predicting knee joint angle, the average absolute error was only 1.05 °, and the coefficient of determination was as high as 0.99. …”
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Sustainability in motion: Investigation of automated gravimetric sample preparation in industrial liquid chromatography by Mo Legelli, Marcel Vranceanu, Michaela Wirtz, Stefan Lamotte

“…Another approach is the transition to a gravimetric sample preparation, in which the dilution steps are not measured in volume but weight, only depending on the much lower error of the analytical balance. …”
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A method for the precise and absolute measurement of microwave chirp rates in cold-atom gravimeters by Huan-Kai Zhang, Ji-Xun Liu, Chang-Wen Liang, Yi-Fei Zhang, Chao Zhou, Shu-Hua Yan, Ling-Xiao Zhu, Jun Yang

“…In a cold-atom gravimeter based on Raman transition, the frequency of Raman lasers is controlled by microwave signals. …”
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RBFNN-Based Adaptive Fixed-Time Sliding Mode Tracking Control for Coaxial Hybrid Aerial–Underwater Vehicles Under Multivariant Ocean Disturbances by Mingqing Lu, Wei Yang, Zhenyu Xiong, Fei Liao, Shichong Wu, Yumin Su, Wenhua Wu

“…At the same time, an adaptive technique is used to approximate the upper bound of the robust switching term gain in the controller, which further offsets the estimation error of the RBFNN and effectively attenuates the chattering effect. …”
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A Portable Non-Motorized Smart IoT Weather Station Platform for Urban Thermal Comfort Studies by Raju Sethupatu Bala, Salaheddin Hosseinzadeh, Farhad Sadeghineko, Craig Scott Thomson, Rohinton Emmanuel

“…The edge devices’ electrical and shielding design was evaluated against a commercial weather station, showing Mean Absolute Error and Root Mean Square Error values of 0.1 and 0.33, respectively, for air temperature. …”
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Optimizing battery health monitoring in electric vehicles using interpretable CART–GX model by Mohnish Karthikeyan B, Anirudh N, Navaneetha Krishnan S, Christopher Columbus C, Aravind C. K

“…The proposed model achieved exceptional performance, with a root mean square error (RMSE) of 0.0130 %, mean absolute error (MAE) of 0.0087 %, and an R² value of 99.999 % on the NASA dataset, and maintained robust accuracy on the CALCE dataset, achieving RMSEs as low as 1.23 % and R² values exceeding 99 %. …”
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A novel hybrid CLARA and fuzzy time series Markov chain model for predicting air pollution in Jakarta by Nurtiti Sunusi, Ankaz As Sikib, Sumanta Pasari

“…Forecasting accuracy results for SO₂ and CO in Jakarta, based on Mean Absolute Error (MAE) and Root Mean Square Error (RMSE), showed excellent performance, underscoring the efficacy of the CLARA-FTSMC hybrid approach in predicting air pollution levels. • The CLARA-FTSMC hybrid method demonstrates high effectiveness in analyzing large datasets, addressing the limitations of previous hybrid clustering fuzzy time series methods. • The number of fuzzy time series partitions is optimally determined based on clustering results obtained through the gap statistic approach, ensuring robust partitioning. • The forecasting accuracy of the CLARA-FTSMC hybrid method, evaluated using MAE and RMSE, showed excellent performance in predicting daily air pollution levels of SO₂ and CO in Jakarta.…”
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Study on Thermal Conductivity Prediction of Granites Using Data Augmentation and Machine Learning by Yongjie Ma, Lin Tian, Fuhang Hu, Jingyong Wang, Echuan Yan, Yanjun Zhang

“…With the global low-carbon energy transition, accurate prediction of thermal and physical parameters of deep rock masses is critical for geothermal resource development. …”
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Analysis and Application of Grey-Markov Chain Model in Tax Forecasting by Huidi Zhang, Yimao Chen

“…Based on the summary and analysis of previous research works, this paper expounds the current research status and significance of tax forecasting, elaborates the development background, current status, and future challenges of the Grey-Markov chain model, introduces the basic principles of grey forecasting model and Markov chain model, constructs the Grey-Markov chain model, analyzes the model’s residual error and posteriori error tests, conducts the analysis of Grey-Markov chain model, performs grey forecasting model construction and its state division, implements the calculation of transition probability matrix and the determination of tax forecasting value, discusses the application of the Grey-Markov chain model in tax forecasting, and finally carries out a simulation experiment and its result analysis. …”
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Theoretical insights on potential-dependent oxidation behaviors and antioxidant strategies of MXenes by Yumiao Tian, Pengfei Hou, Huiwen Zhang, Yu Xie, Gang Chen, Quan Li, Fei Du, Aleksandra Vojvodic, Jianzhong Wu, Xing Meng

“…This work contributes to a fundamental understanding MXene stability at the atomic level, and promotes the transition in materials discovery from trial-and-error synthesis to rational design.…”
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Accurate ZVS Analysis of a Full-Bridge T-Type Resonant Converter for a 20-kW Unfolding-Based AC-DC Topology by SHUBHANGI GURUDIWAN, Aditya Zade, Hongjie Wang, Regan Zane

“…An energy-based methodology is proposed to determine the minimum zero-voltage switching (ZVS) current and ZVS time during various switching transitions of the T-type bridge. It is shown that the existing literature on the ZVS analysis of the T-type bridge-based resonant dc-dc converter, relying solely on capacitive energy considerations, substantially underestimates the required ZVS current values, with errors reaching up to 50&#x0025;. …”
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Analysis of the mechanical behaviors of nonmetallic un-bonded flexible pipe under different loads by Jin Yu, Xuegang You, Tianwei Kong, Mengying Xia, Ruhong Lv, Kezheng Zhang, Baodong Wang

“…The growing demand for lightweight, corrosion-resistant, and cost-effective solutions in offshore oil and gas operations has driven the transition from traditional metallic pipes to advanced non-metallic flexible pipes. …”
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Understanding the Relationship Between Critical Care Nurses’ Perception of Patient Safety Culture and Adverse Events by Sameer A. Alkubati PhD, Talal Al-Qalah PhD, Basma Salameh PhD, Mohammed Alsabri PhD, Gamil Ghaleb Alrubaiee PhD, Ahmed Loutfy PhD, Sadeq A. Alwesabi PhD, Ahmed H. El-Monshed PhD, Shimmaa M. Elsayed PhD

“…Results The study revealed areas for improvement in patient safety culture, with low positive response rates in staffing (26.6%), non-punitive response to errors (38%), handoffs and transitions (39.4%), teamwork across and within units (42.3%), and overall perception of patient safety (49.3%). …”
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Sidewalk thermal comfort in street canyon and role of pavements under perpendicular sun rays during summer by D. Jareemit, M. Srivanit

“…Field data validation showed acceptable errors (R² = 0.91, normalized mean square error = 0.17).FINDINGS: For an east-west-oriented deep street canyon with direct overhead sunlight in summer, low-albedo materials for road and sidewalk surfaces are recommended to enhance thermal comfort. …”
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