Patient Triage and Guidance in Emergency Departments Using Large Language Models: Multimetric Study by Chenxu Wang, Fei Wang, Shuhan Li, Qing-wen Ren, Xiaomei Tan, Yaoyu Fu, Di Liu, Guangwu Qian, Yu Cao, Rong Yin, Kang Li

“…ObjectiveThe study aimed to assess the accuracy, consistency, and feasibility of GPT-4–based ChatGPT models (GPT-4o and GPT-4-Turbo) for patient triage using the Modified Early Warning Score (MEWS) and evaluate GPT-4o’s ability to provide accurate outpatient department guidance based on simulated patient scenarios. MethodsA 2-phase experimental study was conducted. …”
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Nuclear Excitation of 181Ta Induced by High Power Femtosecond Laser Pulses by XU Yongsheng1, HE Chuangye1, LAN Xiaofei2, ZHAO Baozhen1

“…The findings contribute to a better understanding of the underlying physical mechanisms and highlight the potential for further optimization of experimental methods and theoretical models. …”
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Effect analysis of trihalomethane reduction in the raw water from Qingcaosha reservoir using various water treatment processes by WU Jingyu, WANG Weiguo, REN Hui, ZHENG Weiwei

“…ObjectiveTo investigate the content of trihalomethanes (THMs) in treated water after different water treatment processes and their correlations with premanganate index, so as to provide data support for the renovation of water production process and optimization of water quality improvement.MethodsFrom 2022 to 2023, seven centralized water supply units using raw water from Qingcaosha reservoir were selected as the testing sites, among which three units with the conventional treatment process, two units with the advanced treatment process, and two units with the advanced treatment process combined CO2 treatment. …”
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What’s Going On With Me and How Can I Better Manage My Health? The Potential of GPT-4 to Transform Discharge Letters Into Patient-Centered Letters to Enhance Patient Safety: Prospe... by Felix Eisinger, Friederike Holderried, Moritz Mahling, Christian Stegemann–Philipps, Anne Herrmann–Werner, Eric Nazarenus, Alessandra Sonanini, Martina Guthoff, Carsten Eickhoff, Martin Holderried

“… BackgroundFor hospitalized patients, the discharge letter serves as a crucial source of medical information, outlining important discharge instructions and health management tasks. …”
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A Progressive Spectral Correction and Spatial Compensation Network for Pansharpening by Rixian Liu, Hangyuan Lu, Biwei Chi, Yong Yang, Shuying Huang

“…Current pansharpening methods often overlook the significant modality differences between source images and lack interaction between them, resulting in spatial-spectral distortions. …”
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Evaluating chain-of-thought prompting in a GPT chatbot for BCID2 interpretation and stewardship: how does AI compare to human experts? by Daniel M. Tassone, Matthew M. Hitchcock, Connor J. Rossier, Douglas Fletcher, Julia Ye, Ian Langford, Julie Boatman, J. Daniel Markley

“…This study evaluates the performance of a GPT-4 chatbot compared to ASP prospective audit and feedback interventions. Methods: This prospective observational study assessed 43 consecutive real-world cases of bacteremia at a 399-bed VA Medical Center from January to May 2024. …”
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Python algorithm package for automated Estimation of major legume root traits using two dimensional images by Amit Ghimire, Yong Suk Chung, Sungmoon Jeong, Yoonha Kim

“…Four different thresholding methods; Otsu, Gaussian adaptive, mean adaptive and triangle threshold were used to know the effect of thresholding in root trait estimation and to optimize the accuracy of root trait estimation. …”
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Collaborative filtering based on GNN with attribute fusion and broad attention by MingXue Liu, Min Wang, Baolei Li, Qi Zhong

“…In recent years, graph neural networks (GNN) based CF models have effectively addressed the limitations of nonlinearity and higher-order feature interactions in traditional recommendation methods, such as matrix decomposition-based methods and factorization machine approaches, achieving excellent recommendation performance. …”
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Heart Sound Classification Using Harmonic and Percussive Spectral Features from Phonocardiograms with a Deep ANN Approach by Anupinder Singh, Vinay Arora, Mandeep Singh

“…These are refined using the ROC-AUC feature selection method to ensure optimal performance. The deep feed-forward ANN model was rigorously trained and validated on a balanced dataset. …”
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Level measurement, regional variations, and the dynamic evolution of active aging in China—analysis based on CHARLS tracking data by Jiru Guo, Xiaoli Zhang, Xiaoli Zhang, Longyin Chen, Hong Yang

“…Exploring the current state and evolutionary trends of active aging over the past decade is a fundamental prerequisite and the primary task for implementing this strategy.MethodsBased on data from the China Health and Retirement Longitudinal Study (2011-2018), this study primarily employs methods such as the entropy method, Gini coefficient, Moran index, and Kernel density estimation to analyze the development level, regional differences, and dynamic evolution of active aging in China.Results(1) From a general point of view, the overall level of active aging in China has not been high in the past decade, but has shown a rising trend year by year. …”
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Integrating non-linear radon transformation for diabetic retinopathy grading by Farida Mohsen, Samir Belhaouari, Zubair Shah

“…Current automatic grading methods rely heavily on deep learning applied to retinal fundus images, but the complex, irregular patterns of lesions in these images, which vary in shape and distribution, make it difficult to capture the subtle changes. …”
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Impact of extraction techniques and processing conditions on pectin and antioxidant recovery from mango peels by Margaret James, Samuel Imathiu, Søren B. Engelsen, Willis Owino

“…Pectin yield was highest for the CAE method (21.5%; optimal conditions: pH 1.5, 80 °C, 1 h), followed by MAE (19%; pH 1.5, 900 W, 6 min) and UAE (8%; pH 1.5, 40 kHz, 30 min). …”
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Short-term residential load forecasting via transfer learning and multi-attention fusion for EVs’ coordinated charging by Shuhua Gao, Yuanbin Liu, Jing Wang, Zhengfang Wang, Xu Wenjun, Renfeng Yue, Ruipeng Cui, Yong Liu, Xuezhong Fan

“…To address data scarcity issues, we introduce transfer learning, selecting the best-performing model on the target task as the source model to avoid negative transfer effects. Ultimately, the experimental results show that our proposed method achieves the best forecasting performance in the datasets in five different regions. …”
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3D Visualization Monitoring and Early Warning of Surface Deformation in Subsidence Area Based on GIS by Lei Gao, Yuanwen Song, Bo Zhao

“…The source suppression method solves the problem fundamentally by reducing or eliminating the emission of computer electromagnetic leakage source. …”
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Research and application of micro-scale fracture prediction technology for deep coalbed methane based on five-dimensional seismic data by Lei ZHANG, Fengyin XU, Jiangnan TONG, Feng ZHANG, Feng WANG, Wei HOU, Yihang CHANG, Songyi HOU, Xiangbing PEI, Zhenyi CAO, Tong CHEN, Xuefeng LI, Ke ZHOU, Yongzhou LI, Huaibin ZHEN, Wenting ZENG

“…Meanwhile, statistics show that the average daily gas production for wells put into production in 2023 was 6.7×104 m3, and for wells put into production in 2024, it was 7.5×104 m3, indicating a significant reduction in fracturing interference and a continuous improvement in development effectiveness. This prediction method can provide valuable insights for predicting micro-scale fractures in deep coalbed methane blocks with similar geological conditions.…”
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Big Data-Driven 3D Visualization Analysis System for Promoting Regional-Scale Digital Geological Exploration by Yiping Tian, Jiongqi Wu, Genshen Chen, Gang Liu, Xialin Zhang

“…The system integrates three core technological components: (1) a heterogeneous cloud resource scheduling method employing an optimized CMMN algorithm with unified cloud API standardization to enhance task distribution efficiency; (2) a block model-based dynamic data aggregation approach utilizing semantic unification and attribute mapping for multi-source geological data integration; (3) a GPU-accelerated rendering framework implementing occlusion culling and batch processing to optimize 3D visualization performance. …”
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Leveraging AI for early cholera detection and response: transforming public health surveillance in Nigeria by Adamu Muhammad Ibrahim, Mohamed Mustaf Ahmed, Shuaibu Saidu Musa, Usman Abubakar Haruna, Mohammed Raihanatu Hamid, Olalekan John Okesanya, Aishat Muhammad Saleh, Don Eliso Lucero-Prisno III

“…Current surveillance systems and diagnostic methods are limited by infrastructural gaps, insufficient skilled personnel, and inadequate reporting, leading to delays in outbreak detection and response. …”
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Artificial Intelligence as Assessment Tool in Occupational Therapy: A Scoping Review by Christos Kokkotis, Ioannis Kansizoglou, Theodoros Stampoulis, Erasmia Giannakou, Panagiotis Siaperas, Stavros Kallidis, Maria Koutra, Christina Koutra, Anastasia Beneka, Evangelos Bebetsos

“…Traditional assessment methods often rely on clinical judgment and individualized evaluations, which may overlook broader, data-driven insights. …”
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Camellia sinensis phytochemical profiling, drug-likeness, and antibacterial activity against gram-positive and gram-negative bacteria: in vitro and in silico insights by Farouk Boudou, Amal Belakredar, Ahcene Keziz, Huda Alsaeedi, David Cornu, Mikhael Bechelany, Mikhael Bechelany, Ahmed Barhoum, Ahmed Barhoum

“…The plant contains bioactive compounds, such as catechins, flavonoids, and phenolic acids, which are associated with various health benefits, including antioxidant, anti-inflammatory, and anticancer activities.AimTo investigate the bioactive potential of a Camellia sinensis extract, particularly its antibacterial activity against Gram-positive and Gram-negative bacteria and its drug-like properties.MethodPhenolic compounds in C. sinensis extract were identified and quantified using high-performance liquid chromatography (HPLC). …”
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Noise characteristics of semiconductor lasers with narrow linewidth by Hua Wang, Yuxin Lei, Qiang Cui, Siqi Li, Xin Song, Yongyi Chen, Lei Liang, Peng Jia, Cheng Qiu, Yue Song, Yubing Wang, Yiran Hu, Li Qin, Lijun Wang

“…This paper presents noise measurement methods, analyses of the mechanisms for noise suppression, and recent research progress in low-noise semiconductor lasers, focusing on material optimization, structural design, and feedback control. …”
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