In Vivo Dosimetry in Radiotherapy: Techniques, Applications, and Future Directions by James C. L. Chow, Harry E. Ruda

“…This entry underscores the critical role of IVD in enhancing the precision and reliability of radiotherapy, advocating for ongoing research and technological development.…”
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Predicting the Evolution of Capacity Degradation Histograms of Rechargeable Batteries Under Dynamic Loads via Latent Gaussian Processes by Daocan Wang, Xinggang Li, Jiahuan Lu

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Analysis of Sadegh Hedayat's Ideological Strategies in Producing a Discourse of Iranian Superiority Based on Teun Van Dijk's theory (Case Study: Historical drama "Parvin, Sasan’s d... by Ailin Firoozian Pouresfahani, Reza Ghanbari Abdolmaleki

“…Using ideological strategies, Hedayat has reduced the error of insiders in his work and highlighted the defects of outsiders, namely the Arabs. …”
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Inversion Study of Mechanical Parameters of Tunnel Surrounding Rock Based on Similar Test by Xianyun Wang, Hewei Cui, Hailiang Xu, Dong An, Yimin Song

“…The results show the following: (1) The new research idea proposed in this paper is effective and feasible and can perform the inversion calculation of the parameters of the soft and weak tunnel surrounding rock. (2) Through the inversion calculation, the parameters related to the surrounding rock show a wave-like change: the parameters increase in the initial and final compaction stages due to the small deformation rate of the tunnel and decrease in the continuous loading stage due to the increasing deformation rate of the tunnel. (3) The displacement field calculated by DSCM in the test is basically the same as the displacement distribution characteristics of the numerical simulation displacement cloud map, and the error of nodal displacement value is within 3%.…”
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Analysis Of Bread Demand Forecasting Using Recurrent Neural Network (RNN) Method Based On Operational Delivery Data by Harinudin Saputro, Mohammad Zoqi Sarwani, Rudi Hariyanto

“…This study develops a time series forecasting model using a Recurrent Neural Network (RNN) with a Sequential architecture to predict daily bread demand. Unlike previous research, this model is trained on two years of real operational delivery data (2023–2024), enabling it to capture actual consumption patterns more effectively. …”
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CrystalShift: A Versatile Command-Line Tool for Crystallographic Structural Data Analysis, Modification, and Format Conversion Prior to Solid-State DFT Calculations of Organic Crys... by Ilona A. Isupova, Denis A. Rychkov

“…It provides a command-line interface, enabling seamless integration into research workflows while addressing specific challenges in crystallography, such as handling non-standard file formats and robust error correction. …”
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The Impact of the Real Effective Exchange Rate on Poland’s Food and Live Animal Exports by Yılmaz Toktaş, Agnieszka Parlinska

“…On the other hand, the error correction term coefficient was found to be -0.119, indicating that 11% of the imbalance in the short-term will be recovered in the next period.…”
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FREQUENCY PREDICTION OF STAGED COMBUSTION ROCKET ENGINE BASED ON RBF NEURAL NETWORK by DU FeiPing, TAN YongHua, CHEN JianHua

“…A high pressure staged combustion LOX（ liquid oxygen） / kerosene rocket engine was taken as research object. By considering the material differences between the inner and outer wall of the nozzle,the precise nozzle finite element model was established using the stiffness and mass equivalence principle. …”
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A Theoretical Study to Calculate the Radiation Stopping Power for Electrons in Human Tissues by Musaab Imad

“… In this research, the radiation stopping power of electrons in some human tissues (adipose tissues, blood, bone compact, bone cortical, brain, eye lens, lung, skin, and testicles) was studied within the energy range from (10 MeV) to (1000 MeV). …”
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Analysis of Factors Affecting Economic Growth in Bangka Belitung Province, Indonesia with LSDV And FGLS Methods by Darman Saputra

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Wavelet Packet Transform based Speech Enhancement via Two-Dimensional SPP Estimator with Generalized Gamma Priors by Pengfei SUN, Jun QIN

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Effects of Advanced Training Techniques of Parachute and Weighted Vest on Sprint Performance of Sprinter by Anas Mehmood, Basit Ali, Syed Muhammad Bilal Gillani

“…The standard deviation of differences (0.05136 seconds) and standard error mean (0.00938 seconds) indicated consistent improvements across participants. …”
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Use of Neuro-Net Modeling for Forecasting Key Finance Figures at Trade Enterprises by A. R. Baghirzade

“…All models demonstrated high accuracy of approximation (mean error is less that 0.01%) and the best results were reached by the two-layer net (6 and 8 neurons in concealed layers). …”
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Developmental features of multi-word expressions in spoken discourse by Chinese learners of English by Huiping Zhang, Xingzuo Wang

“…Abstract Multi-word expressions (MWEs) serve as vital indicators of language development and have been a primary focus in second language acquisition research. The use of MWEs in spoken discourse, however, remains relatively under-explored. …”
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REGRESI NONPARAMAETRIK SPLINE PADA DATA LAJU PERTUMBUHAN EKONOMI DI KALIMANTAN by Tirta Purnaraga, Sifriyani Sifriyani, Surya Prangga

“…The method used to model the LPE is spline  nonparametric regression and the optimal knot point is 3 knot points based on the smallest Generalized Cross Validation (GCV) value of 1.208. The research results, the best model is obtained with a R2 value of 82.15 percent and a Mean Square Error (MSE) of 0.805. …”
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A hybrid mutational Northern Goshawk and elite opposition learning artificial rabbits optimizer for PEMFC parameter estimation by Pradeep Jangir, Absalom E. Ezugwu, Kashif Saleem, Arpita, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, G. Gulothungan, Laith Abualigah

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Intelligent back-propagated neural networks to study nonlinear heat transfer in tangent-hyperbolic fluids by Muhammad Asif Zahoor Raja, Huma Tayyab, Aamna Muskan Malik, Qazi Mahmood Ul Hassan, Kottakkaran Sooppy Nisar, Muhammad Shoaib

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Assessment of Current Capabilities in Modeling the Ionospheric Climatology for Space Weather Applications: foF2 and hmF2‐II by G. Jee, J. S. Shim, I.‐S. Song, Y.‐S. Kwak, I. Tsagouri, L. Goncharenko, D. Singh, L. Rastaetter, J. Yue, M. Chou, D. Bilitza, M. Codrescu, M. Fedrizzi, T. J. Fuller‐Rowell

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Evaluation of machine learning models for predicting performance metrics of aero-engine combustors by Huan Yang, Shu Guo, Haolin Xie, Jian Wen, Jiarui Wang

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Estimating Annual CO2 Flux for Lutjewad Station Using Three Different Gap-Filling Techniques by Carmelia M. Dragomir, Wim Klaassen, Mirela Voiculescu, Lucian P. Georgescu, Sander van der Laan

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