The analysis of impact of irregularity in radionuclide coating of scaffold on the distribution of absorbed dose produced by grid of microsources by N. A. Nerosin, A. P. Pyshko, V. V. Shapovalov, A. A. Goverdovskiy

“…On engineering software MATHCAD the program for calculation of absorbed dose produced by grid of microsources was created. To verify this algorithm the calculation model for MCNP code was established and represented the area consisted of soft biological tissue or any other tissue in which the grid of microsources was incorporated. …”
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Design and Experimental Study of Dual-spool Incremental High-water-based Digital Valve by He ZHANG, Jiyun ZHAO, Yunfei WANG, Ge WANG

“…A simulation of the electro-mechanical converter is conducted using sliding mode control, and the simulation results indicate that the sliding mode control algorithm stably follows the reference signal in 0.08 s, performing significantly better in response performance than PID. …”
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Online Modelling and Calculation for Operating Temperature of Silicon-Based PV Modules Based on BP-ANN by Honglu Zhu, Weiwei Lian, Lingxing Lu, Peter Kamunyu, Cao Yu, Songyuan Dai, Yang Hu

“…The proposed method is effective to calculate the operating temperature of silicon-based solar modules online, which is a low-cost soft-sensing solution.…”
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Analisis Sentimen Pada Sosial Media Twitter Terhadap Kualitas Jaringan Internet Telkomsel Menggunakan Ensemble K-Nearest Neighbour -Support Vector Machine by Muchammad Farchan Fachrudin, Cucun Very Angkoso, Doni Abdul Fatah

“…This sentiment analysis research uses machine learning algorithm models, namely K-Nearest Neighbor, Support Vector Machine, and KNN-SVM Ensemble which are majority vote-based and average-based. …”
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Study on Energy Efficiency and Maintenance Optimization of Run-Out Table in Hot Rolling Mills Using Long Short-Term Memory-Autoencoders by Ju-Woong Yun, So-Won Choi, Eul-Bum Lee

“…By integrating the technical advantages of these two algorithms, a predictive maintenance model based on the LSTM-AE algorithm, named the Run-Out Table Predictive Maintenance Model (ROT-PMM), was developed. …”
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Data Mining Approaches in Predicting Entrepreneurial Intentions Based on Internet Marketing Applications by Milan Krivokuća, Mihalj Bakator, Dragan Ćoćkalo, Marijana Vidas-Bubanja, Vesna Makitan, Luka Djordjević, Borivoj Novaković, Stefan Ugrinov

“…The modern business environment has caused a shift in how business is conducted. Opportunities and challenges arise, which put a tremendous pressure on enterprises regardless of size and industry. …”
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Long-Tune Natural Logarithmic Wavelength Modulation Spectroscopy for Gas Sensing by Lijuan Lan, Changsheng Zhang, Yibo Wang, Yu Xie, Luheng Wang, Chunhua Yang

“…In ln-WMS, due to the natural logarithm algorithm, the harmonic magnitude which is related to gas concentration would not be affected by the light intensity fluctuations. …”
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Analysis of Velocimetry Processing Method Based on Doppler Asymmetric Spatial Heterodyne Spectrometer by Xiang Peng, Enhai Liu, Shulin Tian, Rujin Zhao

“…Furthermore, it clarifies the impact of back-end signal processing methods on velocity measurement resolution and the range of algorithm errors. With a “spring model” of interference fringes is proposed, which not only provides mathematical model support for the superiority of using phase shift measurement methods to invert Doppler velocity, but also explains the improvement reason of the “asymmetric” structure relative to the original symmetric spatial heterodyne spectrometer. …”
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Research on Curvature Interference Characteristics of Conical Surface Enveloping Cylindrical Worm–Face Worm Gear Drive by Shibo Mu, Xingwei Sun, Zhixu Dong, Heran Yang, Yin Liu, Weifeng Zhang, Sheng Qu, Hongxun Zhao, Yaping Zhao

“…Inadequate axial spacing causes the interference limit line to shift toward the inner end of the worm gear, significantly increasing the risk of interference in that region. …”
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Automated descriptive cell type naming in flow and mass cytometry with CytoPheno by Amanda R. Tursi, Celine S. Lages, Kenneth Quayle, Zachary T. Koenig, Rashi Loni, Shruti Eswar, José Cobeña-Reyes, Sherry Thornton, Tamara Tilburgs, Sandra Andorf

“…The resulting complexity of the data has prompted a shift from manual to automated analysis methods. …”
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Digital Repeat Photography Application for Flowering Stage Classification of Selected Woody Plants by Monika A. Różańska, Kamila M. Harenda, Damian Józefczyk, Tomasz Wojciechowski, Bogdan H. Chojnicki

“…The training data were subjected to various transformations to achieve the best classifications using the weighted <i>k</i>-nearest neighbors algorithm. The developed models enabled the flowering classifications at the 0, 1, 2, 3, and 5 onset day shift (absolute values) for 2, 3, 3, 2, and 2 plants, respectively. …”
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Adaptive deep feature representation learning for cross-subject EEG decoding by Shuang Liang, Linzhe Li, Wei Zu, Wei Feng, Wenlong Hang

“…Conclusions: The promising results highlight the effectiveness of the ADFR algorithm for EEG decoding and show its potential for practical applications.…”
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Synergistic Matching and Influencing Factors of Grain Production and Cropland Net Primary Productivity in the Black Soil Region of Northeast China by Quanxi Wang, Jun Ren, Maomao Zhang, Hongjun Sui, Xiaodan Li

“…Specifically, the marginal impact of fertilizer application has undergone a shift. This study may provide new clues for the formulation of regional strategies for sustainable food supply and black soil cropland system protection.…”
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Consideration of corona discharge in relation to operational dispatch control of power system mode 500 kV by V. A. Menshov, A. V. Valiansky, T. I. Khairullin

“…It is also important to take into account dynamic corona discharge for system operated by automatic algorithms in order to avoid occurrence of incorrect interpretations of phase shifts caused by weather changes as potentially dangerous electrical processes caused by regime processes of a possible transition of the system to a pre-emergency state.…”
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The future of precision orthopaedics: personalized data-driven practice by Deiary F. Kader, Andrew Coppola, Aditya Vijay, Andreas Fontalis, Fares S. Haddad

“…AI technologies, such as machine learning and Bayesian networks, enable predictive analytics, treatment personalization, and real-time data integration, fostering a shift from reactive to proactive care. However, challenges related to data quality, algorithm transparency, ethical considerations, and infrastructure development must be addressed to ensure robust and equitable implementation. …”
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Coordinated multi-level scheduling method considering uncertainty of renewable energy and load by Bingbing Song, Kangping Qin, Min Wen, Moyan Zhu, Kaiming Zou, Guangyu He

“…The increasing grid connection of wind and photovoltaic power signifies a major shift in the energy mix. This change is particularly evident in heavy load areas at the regional grid and provincial dispatch levels, where uncertainties on both the supply and demand sides impact the daily operation of power systems. …”
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STARMAP: Spaceborne Target Acquisition Radar With Meta-RL Assisted Placement by Alireza Famili, Shihua Sun, Tolga Atalay, Angelos Stavrou

“…To address this, we have developed an advanced meta-reinforcement learning (meta-RL) algorithm, enhancing a double deep Q-network (DDQN) to optimize receiver placement. …”
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Pathology in a digital realm: food for thought! by Palzum Sherpa

“…Digital Pathology, as defined by Digital Pathology Association is an image-based environment that enables the acquisition, management, and interpretation of information generated from a digitalized glass slide.1 The advent of fast and affordable whole slide scanners has aided in this paradigm shift from traditional to virtual microscopy. Its application includes primary diagnosis, telepathology, archiving, education, and research. …”
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Secure intelligent reflecting surface assisted mobile edge computing system with wireless power transfer by Dawei Wang, Xuanrui Li, Menghan Wu, Yixin He, Yi Lou, Yu Pang, Yi Lu

“…Moreover, we propose a dichotomy particle swarm algorithm based on the bisection method to process the overall optimization problem and improve the convergence speed. …”
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Weather Prediction for Strawberry Cultivation Using Double Exponential Smoothing and Golden Section Optimization Methods by Herlinah Herlinah, Billy Eden William Asrul, Hafsah HS, Muhammad Faisal, Swa Lee Lee, Hamdan Gani, Zhipeng Feng

“…Climate change does not only affect the amount of rainfall, but also causes a shift in the rainy season and dry season start. As a result, in the cultivation of plants such as strawberries, there are often difficulties in adjusting or slow anticipation in the extreme changes of rainfall. …”
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