Large language models for pretreatment education in pediatric radiation oncology: A comparative evaluation study by Dominik Wawrzuta, Aleksandra Napieralska, Katarzyna Ludwikowska, Laimonas Jaruševičius, Anastasija Trofimoviča-Krasnorucka, Gints Rausis, Agata Szulc, Katarzyna Pędziwiatr, Kateřina Poláchová, Justyna Klejdysz, Marzanna Chojnacka

“…Consequently, they search for information online, often encountering unreliable sources. Large language models (LLMs) have the potential to serve as an educational pretreatment tool, providing reliable answers to their questions. …”
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Artificial Intelligence Scribe and Large Language Model Technology in Healthcare Documentation: Advantages, Limitations, and Recommendations by Sarah A. Mess, MD, Alison J. Mackey, PhD, David E. Yarowsky, PhD

“…They typically use an application programming interface with a large language model (LLM), for example, generative pretrained transformer 4. …”
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A Digital Twin for Unconventional Reservoirs: A Multiscale Modeling and Algorithm to Investigate Complex Mechanisms by Tao Zhang, Yiteng Li, Jianchao Cai, Qingbang Meng, Shuyu Sun, Chenguang Li

“…In this paper, a digital twin is designed to numerically model the representative mechanisms that affect the production unconventional reservoirs, such as capillarity, dynamic sorption, and injection salinity, and it incorporates multiscale algorithms to simulate and illustrate the effect of these mechanisms on flow and transport phenomena. …”
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Modelling the immunopathogenesis of HIV-1 infection and the effect of multidrug therapy: The role of fusion inhibitors in HAART by Gesham Magombedze, Winston Garira, Eddie Mwenje

Subjects: “…mathematical modelling.…”
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Using the CIPP Model to elicit perceptions of health professions faculty and students about virtual learning by Sakineh Gerayllo, Mohammadali Vakili, Leila Jouybari, Zahra Moghadam, Ali Jafari, Alireza Heidari

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Ensemble modeling of the climate-energy nexus for renewable energy generation across multiple US states by Joy Adul, Rohini Kumar, Renee Obringer

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Construction and Application of Relationship Model between Development of Mining Industry and Carbon Emission of Energy Consumption by Lili Wei, Guangyu Jia, Xiaohui Xu, Lingyun Zhao

“…Then, using the Tapio theory, this study constructs the analysis model of decoupling between carbon emission of mining industry and industry growth. …”
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Electrochemical Impedance Spectroscopy-Based Characterization and Modeling of Lithium-Ion Batteries Based on Frequency Selection by Yuechan Xiao, Xinrong Huang, Jinhao Meng, Yipu Zhang, Vaclav Knap, Daniel-Ioan Stroe

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Improvement of and Parameter Identification for the Bimodal Time-Varying Modified Kanai-Tajimi Power Spectral Model by Huiguo Chen, Ting Zhong, Guocui Liu, Junru Ren

“…Additionally, a method for modeling time-varying power spectrum parameters for ground motion is proposed. …”
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Development of a Model for Evaluating the Coverage Area of Transit Center Using Smart Card Data by Hyunjun Hwang, Shin-Hyung Cho, Dong-Kyu Kim, Seung-Young Kho

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Author Correction: AI based predictive acceptability model for effective vaccine delivery in healthcare systems by Muhammad Shuaib Qureshi, Muhammad Bilal Qureshi, Urooj Iqrar, Ali Raza, Yazeed Yasin Ghadi, Nisreen Innab, Masoud Alajmi, Ayman Qahmash

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Optimization of Neurons Number in Artificial Neural Network Model for Predicting the Power Production of PV Module by Hussain Hamdi Khalaf, Ali Nasser Hussain, Zuhair S. Al-Sagar, Abdulrahman Th. Mohammad, Hilal A. Fadhil

“…The obtained results show that the architecture of ANN is appropriate for predicting the power generated from the PV module. The developed ANN model has good accuracy. Where the MSE is 0.002747 at epoch 9 in the model. …”
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A Modeling Study of the Productivity of Horizontal Wells in Hydrocarbon-Bearing Reservoirs: Effects of Fracturing Interference by Lei Huang, Peijia Jiang, Xuyang Zhao, Liang Yang, Jiaying Lin, Xuyang Guo

“…Fracturing modeling results are generally correlated with productivity modeling results, while scenarios with stronger fracturing interference and greater stimulation volume/area can still yield better productivity. …”
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Time-Varying Hydraulic Gradient Model of Paste-Like Tailings in Long-Distance Pipeline Transportation by Li Yang, Shuai Li, Xin-min Wang

“…Therefore, our model is a feasible and high-precision solution for the calculation of the hydraulic gradient of paste-like tailings in long-distance pipeline transportation.…”
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Expression of SMADs in orthotopic human endometrium, ovarian endometriosis, and endometriotic lesions in a murine model by Yuri Kadota, Takeshi Kato, Kana Kasai, Takako Kawakita, Misaki Murayama, Akari Shinya, Hikari Sasada, Sachiko Katayama, Mari Nii, Shota Yamamoto, Hiroki Noguchi, Kou Tamura, Hidenori Aoki, Miyu Taniguchi, Tomotaka Nakagawa, Takashi Kaji, Masato Nishimura, Riyo Kinouchi, Kanako Yoshida, Takeshi Iwasa

“…We established an endometriosis murine model via the intraperitoneal administration of endometrial tissue and blood from donor mice. …”
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Advancing Underwater Vision: A Survey of Deep Learning Models for Underwater Object Recognition and Tracking by Mahmoud Elmezain, Lyes Saad Saoud, Atif Sultan, Mohamed Heshmat, Lakmal Seneviratne, Irfan Hussain

“…State-of-the-art (SOTA) models, including AGW-YOLOv8, Feature-Adaptive FPN, and Dual-SAM, have shown substantial improvements in addressing occlusions, camouflaging, and small underwater object detection. …”
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Reduction of Waste Water in Erhai Lake Based on MIKE21 Hydrodynamic and Water Quality Model by Changjun Zhu, Qinag Liang, Feng Yan, Wenlong Hao

“…Then through the comparison with the monitoring data, the model parameters are calibrated and the simulation results are verified. …”
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Networked Closed-Loop Model for Smart On-Site Maintenance of Substation Equipment Using Mobile Networks by Zhenxin Feng, Yi Jiang, Yuting Luo, Kun Zhao, Guocheng Ding, Wenshan Hu

“…This model not only realizes the formal data uploading in real-time, but also can provide the workers on site with guidance from the data centre.…”
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Comparison of Kolmogorov–Arnold Networks and Multi-Layer Perceptron for modelling and optimisation analysis of energy systems by Talha Ansar, Waqar Muhammad Ashraf

“…The analysis reveals superior modelling performance of KAN and KAN_PCC algorithms than those of MLP and MLP_PCC for the two case studies. …”
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A model based on random forest algorithm and Jaya optimization to predict bank customer churn by Sepideh Chehreh, Ali Sarabadani

“…Customer like age, Gender, graphs and cases It predicts more ‌. The results of model in the article are 91.41%, 95.66% and 93.35% respectively in Precision , Recall and Accuracy criteria.…”
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