Optimizing the Construction Supply Chain Network Considering the Flow of Materials, Equipment, Manpower, Drawings and Technical Documents by Seyed Saeid Helli, Hadi Mokhtari, Saeed Dehnavi

“…Purpose: Today, the efficient management of supply chains plays a fundamental role in the market and economy. …”
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Characteristics and Influencing Factors of Phosphorus Loss in Watersheds during Typical Rainfall Events by LIU Xiao-rong, DU Xin-zhong, LIU Xin-ru, HAN Yu-guo, AN Miao-ying, LEI Qiu-liang, LIU Hong-bin

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An ecosystem approach to the evaluation and impact analysis of heterogeneous preventive and/or early interventions projects for veterans and first responders in seven countries by S. Lukersmith, L. Salvador-Carulla, C. Woods, T. Niyonsenga, M.R. Gutierrez-Colosia, I. Mohanty, C.R. Garcia-Alonso, D. Diaz-Milanes, J.A. Salinas-Perez, R. Davey, A. Aryani

“…Data is collected by the Projects and evaluation team on input, throughputs, and output indicators. Analysis tools include Global Impact Analytics Framework, multi-layered statistical analysis, performance evaluation using an efficient decision support approach, Project and Grant program social return on investment, visual linking and data connection platform and assessment of gendered lens approaches. …”
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Effects of Irregular Bathymetry on the Performance and Wake Characteristics of Tidal Stream Turbines: A Case Study of a Tidal Power Site by Ngome Mwero, Song Fu, Takafumi Inamitsu, Stephanie Ordonez-Sanchez, Benson Mwangi, Patxi Garcia-Novo, Cameron Johnstone, Daisaku Sakaguchi

“…To exploit this resource efficiently, reliable and computationally efficient methods are required to analyze energy yields from tidal arrays in real sites worldwide. …”
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22 Advancing clinical trial reporting and AI integration: Optimizing protocol data extraction using LLMs and regulatory best practices by Ramya Sri Baluguri, Nicholas Anderson

“…Based on these variations, we used prompt engineering to improve the pilot application’s output compliance with the protocol registration and results system (PRS) structured data format for various study types. …”
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Development and research of uninterruptible power supply system for networks with supply voltage up to 24 V by I. M. Sharov, O. A. Demin, A. A. Sudakov, A. D. Yarlykov

“…Therefore, the present work is aimed at developing technical solutions for efficient uninterruptible secondary power supply systems in low voltage DC networks.Methods. …”
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Photo-sensitive Structures with Cascade Radiation Concentrators Based on Colloidal Quantum Dots of Metal Chalcogenides by I. I. Mikhailov, I. A. Lamkin, A. E. Degterev, M. M. Romanovich, M. D. Pavlova, M. A. Kurachkina, S. A. Tarasov, U. A. Kuzmina

“…The problem of increasing the efficiency of existing photodetectors and creating their new types attracts much research attention. …”
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Precise Optical Modeling of Phosphor-Converted LEDs With Arbitrary Concentration and Thickness Using Bidirectional Scattering Distribution Function by Jia-Sheng Li, Yong Tang, Zong-Tao Li, Jia-Xiao Chen, Xin-Rui Ding, Bin-Hai Yu

“…An effective and efficient way to predict the optical behavior of pcLED is using the bidirectional scattering distribution function (BSDF). …”
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Parameter sensitivity analysis for diesel spray penetration prediction based on GA-BP neural network by Yifei Zhang, Gengxin Zhang, Dawei Wu, Qian Wang, Ebrahim Nadimi, Penghua Shi, Hongming Xu

“…When an input parameter does not have any functional relationship with other input parameters, the absence of this input parameter will lead to a significant decrease in the accuracy of the output result. The results demonstrate that the machine learning approach offers higher accuracy and better generalizability compared to traditional empirical methods. …”
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Research on the Automatic Multi-Label Classification of Flight Instructor Comments Based on Transformer and Graph Neural Networks by Zejian Liang, Yunxiang Zhao, Mengyuan Wang, Hong Huang, Haiwen Xu

“…The results show that the RoBERTa + GCN model achieves an F1 score of 0.9737, representing an average improvement of 4.73% over these traditional methods. This approach enhances the consistency and efficiency of flight training assessments and provides new insights into integrating natural language processing and graph neural networks, demonstrating broad application prospects.…”
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Reinforcement Learning for Bipedal Jumping: Integrating Actuator Limits and Coupled Tendon Dynamics by Yudi Zhu, Xisheng Jiang, Xiaohang Ma, Jun Tang, Qingdu Li, Jianwei Zhang

“…Hardware experimental results demonstrate that the proposed method effectively satisfies actuator safety limits while achieving more efficient and stable jumping behavior. …”
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P-68 LIVGUARD, A DEEP NEURAL NETWORK FOR CIRRHOSIS DETECTION IN LIVER ULTRASOUND (USD) IMAGES by DIEGO ARUFE, Pablo Gomez del Campo, Ezequiel Demirdjian, Carlos Galmarini

“…We stochastically split the master set into training (N=1297; 79.8%), validation (N=159; 9.7%), and test (N=169; 10.2%) sets that were completely disjointed. The output of the efficientNetv2 convolutional neural network (CNN) was a score between 0 and 1 to exhibit the probability of cirrhosis. …”
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TFF-Net: A Feature Fusion Graph Neural Network-Based Vehicle Type Recognition Approach for Low-Light Conditions by Huizhi Xu, Wenting Tan, Yamei Li, Yue Tian

“…Compared to mainstream models and methods, the proposed model shows excellent performance and practical deployment potential.…”
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Enhanced Mainlobe Jamming Suppression in Distributed Array Radar via Joint Optimization of Radar Positions and Subpulse Frequencies by Weiming Pu, Kewei Feng, Xiaoping Wang, Zhennan Liang, Xinliang Chen, Quanhua Liu

“…Simulation results demonstrate that the proposed method achieves a reduction of over 3 dB in grating lobe suppression compared to conventional sparse array design methods, while enhancing the output signal-to-jamming and noise ratio by nearly 3 dB after jamming suppression.…”
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Enhancing pipa tuning stability with piezoelectric materials: An adaptive system for real-time performance adjustment. by Kou Yawen

“…The primary objective is to maintain tuning accuracy within ±0.1 Hz, even with environmental fluctuations, thus improving the stability and consistency of musical performance.<h4>Methods</h4>A dataset of 2,000 samples was collected, including voltage (0.1-5 V), temperature (10-40°C), and humidity (20-90% RH) values, along with corresponding output adjustments. …”
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Enhanced Retrieval-Augmented Generation Using Low-Rank Adaptation by Yein Choi, Sungwoo Kim, Yipene Cedric Francois Bassole, Yunsick Sung

“…Recent advancements in retrieval-augmented generation (RAG) have substantially enhanced the efficiency of information retrieval. However, traditional RAG-based systems still encounter challenges, such as high latency in output decision making, the inaccurate retrieval of road traffic-related laws and regulations, and considerable processing overhead in large-scale searches. …”
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Historical Drivers and Reduction Paths of CO₂ Emissions in Jiangsu’s Cement Industry by Kuanghan Sun, Jian Sun, Changsheng Bu, Long Jiang, Chuanwen Zhao

“…Clinker substitution is the most significant CO₂ reduction technology, contributing about 60%, while energy efficiency gains contribute only 3.4%. Despite the full deployment of existing reduction methods, Jiangsu’s cement industry is expected to face an emissions gap of approximately 10 million tons to achieve carbon neutrality by 2060, highlighting the need for innovative emission reduction technologies or carbon trading to meet carbon neutrality goals.…”
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A Robust Scheme of Vertebrae Segmentation for Medical Diagnosis by Faisal Rehman, Syed Irtiza Ali Shah, Naveed Riaz, Syed Omer Gilani

“…The results reveal that our proposed method is robust over multiple segmentations and outperformed the recently published state of art methods.…”
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Development of an Electric Pulse Device for Coal Grinding by Ayanbergen Khassenov, Dana Karabekova, Madina Bolatbekova, Bekbolat Nussupbekov, Perizat Kissabekova, Rakhman Orazbayev

“…Efficient coal grinding is a crucial aspect of the energy and mining industries. …”
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Adaptive Quantum-Inspired Evolution for Denoising PCG Signals in Unseen Noise Conditions by Lubna Siddiqui, Ashish Mani, Jaspal Singh

“…In the presence of AWGN, the output increased by 9% and 11%, respectively, for both models in highly noisy environments. …”
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