Treatment Recommendation using BERT Personalization by J Jayapradha, Yukta Kulkarni, Lakshmi Vadhanie G, Palanichamy Naveen, Elham Abdulwahab Anaam

“…Consequently, PharmaBERT brings all its training and optimization capabilities together and through this, the system reaches a higher accuracy of up to 91% thus showcasing the potency of the model in capturing patient sentiments. …”
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Facilitating university admission using a chatbot based on large language models with retrieval-augmented generation by Zheng Chen, Di Zou, Haoran Xie, Huajie Lou, Zhiyuan Pang

“…The results demonstrated a significant improvement in average accuracy, from 41.4% with the ChatGPT 3.5 model to 89.5% with the proposed chatbot, with peak accuracy reaching 94.7%. …”
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Establishment of fermentation kinetic model and antioxidant activity of kiwifruit wine fermented by black tea fungus liquid by ZHANG Yangyang, LIU Xiaoyuan, YU Hongfei, HOU Heli, LI Jianfang, JI Dandan

“…The results showed that the correlation coefficients R² of Boltzmann model reflecting the changes of yeast growth and ethanol production and Logistic model reflecting reducing sugar consumption, were all more than 0.98, which could effectively reflect the dynamic characteristics of kiwifruit wine fermented with black tea fungus liquid. …”
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Real-time monitoring and optimization of machine learning intelligent control system in power data modeling technology by Qiong Wang, Zuohu Chen, Yongbo Zhou, Zhiyuan Liu, Zhenguo Peng

“…Based on long-term and short-term memory networks, this paper constructed a deep neural network model to process data. Recursive feature elimination method can be used for feature selection in the model, and multi-model integration method can be used for feature fusion. …”
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A Bio-Inspired Learning Dendritic Motion Detection Framework with Direction-Selective Horizontal Cells by Tianqi Chen, Yuki Todo, Zhiyu Qiu, Yuxiao Hua, Hiroki Sugiura, Zheng Tang

“…Unlike present deep learning models, which rely on extension of computation and extraction of global features, the HCdM mimics the localized processing of dendritic neurons, enabling efficient motion feature integration. …”
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Mathematical model of a lightweight three-axle off-road vehicle construction for Arctic zone of Russia by I. E. Agureev, V. N. Bondarenko

“…The graphs show a transition process of oscillations, which ends with reaching a steady state. …”
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Impacts of Predicted Liquid Fraction and Multiple Ice‐Phase Categories on the Simulation of Hail in the Predicted Particle Properties (P3) Microphysics Scheme by Jason A. Milbrandt, Hugh Morrison, Mélissa Cholette

“…As such, P3 is now capable of representing key properties and microphysical processes that are important for hail. In this study, the impacts of some new capabilities of P3 on the simulation of hail amounts and sizes are examined in the context of idealized, high‐resolution (200‐m isotropic grid spacing) hailstorm simulations using a cloud‐resolving model. …”
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Rapid estimation of parameters related to the 28 March 2025 M7.9 earthquake in Myanmar by Yongzhe Wang, Zhe Zhang, Xu Zhang, Ruifeng Liu, Jiatong Wei

“…Source parameters, focal mechanism, rupture process, and seismic radiated energy were estimated. …”
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Real-Time jamming detection using windowing and hybrid machine learning models for pre-saturation alerts by J. Sormayli, M. Darvishi, K. Zarrinnegar, M. R. Mosavi

“…Abstract This paper proposes a new deep learning and machine learning model for detecting deception and suppression jamming in Ublox-M8T receivers operating under GNSS interference. …”
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Urban Built Form Grows Critical by Romulo Krafta, Vinicius M. Netto, Leonardo Lima

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Activated carbon nanofibers from lignin/recycled-PET and their adsorption capacity of refractory sulfur compounds from fossil fuels by Efstratios Svinterikos, Ioannis Zuburtikudis, Mohamed Al-Marzouqi

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Swin‐YOLOX for autonomous and accurate drone visual landing by Rongbin Chen, Ying Xu, Mohamad Sabri bin Sinal, Dongsheng Zhong, Xinru Li, Bo Li, Yadong Guo, Qingjia Luo

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The Thermal Index of Neutron-star Matter in the Virial Approximation by Giuseppe Rivieccio, Adriana Nadal-Matosas, Arnau Rios, Milton Ruiz

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Digital Elevation Model-Driven River Channel Boundary Monitoring Using the Natural Breaks (Jenks) Method by Rongjie Gui, Wenlong Song, Juan Lv, Yizhu Lu, Hongjie Liu, Tianshi Feng, Shaobo Linghu

“…River water masks were obtained from multiple remote sensing imagery sources and processed through triangulation and segmentation to generate river reach results. …”
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A novel algorithm for modeling gas–oil dynamic interfacial tension (IFT) and component exchange mechanisms by Ali Safaei, Masoud Riazi

“…For a more complete study of IFT, dynamic pendant drop modeling can be used to investigate the process of component exchange between two phases to determine the mechanism of thermodynamic equilibrium. …”
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Design of an improved graph-based model integrating LSTM, LoRaWAN, and blockchain for smart agriculture by Ravi Kumar Munaganuri, Narasimha Rao Yamarthi, Sai Chandana Bolem

“…This research is anchored on the burning need for irrigation optimization and crop water use efficiency improvement, which remains a challenge in smart agriculture processes. Traditional irrigation methods normally lead to inefficiency, resulting in wasted water and non-maximum crops. …”
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Exploring the Potentials of Automation in Logistics and Supply Chain Management: Paving the Way for Autonomous Supply Chains by Benjamin Nitsche

“…The advance of digitalization and technologization enables new business models, increased process efficiencies, novel planning approaches, and much more but, on the downside, there is also the risk of being lost in the maelstrom of developments. …”
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Early identification on failure mode of loess landslide: insight from case study and physical model experiment by Ran Li, Ran Li, Ran Li, Jiangkun He, Han Zheng, Chenyuan Zhang, Shuai Zhang, Shuai Zhang, Shuai Zhang

“…Therefore, investigating the deformation and failure characteristics of loess landslides under different failure modes is crucial for providing a scientific foundation for early hazard detection and the accurate assessment of risk profiles.MethodsThis work examines the pre-slip deformation and post-slip damage characteristics of the rotational-sliding Huzhu Landslide and the translational-sliding Zhongzhai Landslide through a combination of field investigations, unmanned aerial vehicle surveys, and remote sensing interpretation. Physical model tests were conducted to simulate the instability and failure processes of both rotational and translational loess landslides. …”
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Dynamic Modeling and Simulation Analysis of Virtual Product Design and Creation Based on OSG Artificial Intelligence Platform by Xiaosong Zou, Tao Tao

“…According to the RTM model test results, the homogeneity test results show that the result is much larger than 0.10, from which it can be inferred that the Koji tea bowl shape has reached the national process quality standard requirements. …”
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Designing and Explaining the Professional Development Model for Preschool Educational Managers in Education: A Mixed Method Study by Mohammadreza Maleki, Jafar Rahmani, Saeifullah Fazlullahi

“…Objective: This investigation was undertaken with the objective of formulating and elucidating a process model pertaining to the professional development of preschool educational administrators within the domain of education. …”
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