Process Re-Engineering and Data Integration Using Fast Healthcare Interoperability Resources for the Multidisciplinary Treatment of Lung Cancer by Ching-Hsiung Lin, Bing-Yen Wang, Sheng-Hao Lin, Pei Hsuan Shih, Chin-Jing Lee, Yung Ting Huang, Shih Chieh Chen, Mei-Lien Pan

“…In phase 2, we streamlined the tumor board process into 33 steps by introducing new functions and optimizing the data entry for pathologists. We converted the related medical data to the FHIR format using 6 FHIR resources and improved our hospital information system by developing functions and application programming interfaces to interoperate among various systems; consolidating data from different sources, excluding sensitive cases; and enhancing overall system efficiency. …”
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Resourceful utilization of converter steel slag: Research status and application prospects by Xin LIU, Zhongliang WANG, Yanping BAO

“…The steel slag gradient utilization model, despite its potential, requires further technical optimization to overcome the aforementioned challenges. (3) The carbon thermal reduction method has been demonstrated to be effective in the extraction of phosphorus from steel slag, with a high degree of removal efficiency. …”
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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

“…Two independent ID physicians evaluated chatbot and ASP recommendations across four domains: BCID2 interpretation, source control, antibiotic therapy, and additional diagnostic workup. …”
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Protein Extraction from <i>Arthrospira platensis</i> for Use in Food Processing by Elisa Costa, Miguel Ribeiro, Luís Filipe-Ribeiro, Fernanda Cosme, Fernando M. Nunes

“…Algae protein has emerged as a sustainable and non-allergenic alternative to animal protein as the market seeks to reduce reliance on traditional animal protein sources. To effectively utilize algae protein isolates, particularly from <i>Arthrospira platensis</i>, it is essential to develop an efficient method for protein extraction and isolation that can be scaled up. …”
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Pseudorandom Number Generator Based on Three Kinds of Four-Wing Memristive Hyperchaotic System and Its Application in Image Encryption by Xi Chen, Shuai Qian, Fei Yu, Zinan Zhang, Hui Shen, Yuanyuan Huang, Shuo Cai, Zelin Deng, Yi Li, Sichun Du

“…In this paper, we propose a method to design the pseudorandom number generator (PRNG) using three kinds of four-wing memristive hyperchaotic systems (FWMHSs) with different dimensions as multientropy sources. …”
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Fault Diagnosis of Hot Rolling Equipment Under Uncertain Conditions Based on Cloud Rough Model, Game Theory, and Improved GRA-TOPSIS by Bo Hu, Yongjun Zhang, Fengwei Jing

“…This study proposes a novel fault evaluation framework: first, a cloud rough model is adopted to handle multi-source uncertainties in expert evaluations; second, game theory is used to optimize the combined weights of subjective and objective criteria; finally, an improved Grey Relational Analysis-Technique for Order Preference by Similarity to Ideal Solution (GRA-TOPSIS) method constructs a dual-scale measurement model by fusing grey relational degree and Euclidean distance, effectively reducing the influence of geometric sequence similarity and distance on fault prioritization and enhancing the robustness of ranking results under complex working conditions. …”
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Design and analysis of BLDC motor speed control for electric vehicles powered by solar PV and grid supply by Abhishek Kumar, M. Venkatesh Naik, Rahul Kumar, Aman

“…The proposed system utilizes a dual-source power configuration, where solar energy is optimized using an advanced maximum power point tracking (MPPT) technique via a boost converter. …”
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Unsupervised domain adaptation multi-level adversarial network for semantic segmentation based on multi-modal features by Zeyu WANG, Shuhui BU, Wei HUANG, Yuanpan ZHENG, Qinggang WU, Huawen CHANG, Xu ZHANG

“…In order to solve the problem of the distribution differences of visual, spatial, and semantic features between domains in domain adaptation, an unsupervised domain adaptation multi-level adversarial network for semantic segmentation based on multi-modal features was proposed.Firstly, an attentive fusion semantic segmentation network with three-layer structure was designed to learn the above three types of features from the source domain and target domain, respectively.Secondly, a self-supervised learning method jointing distribution confidence and semantic confidence was introduced into the single-level adversarial learning, so as to achieve the distribution alignment of more target domain pixels in the process of minimizing the distribution distance of the learnt features between domains.Finally, three adversarial branches and three adaptive sub-networks were jointly optimized by the multi-level adversarial learning method based on multi-modal features, which could effectively learn the invariant representation between domains for the features extracted from each sub-network.The experimental results show that compared with existing state-of-the-art methods, on the datasets of GTA5 to Cityscapes, SYNTHIA to Cityscapes, and SUN-RGBD to NYUD-v2 the proposed network achieves the best mean intersection over union of 62.2%, 66.9%, and 59.7%, respectively.…”
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A Novel Multi-Task Learning-Based Approach to Multi-Energy System Load Forecasting by Zain Ahmed, Mohsin Jamil, Ashraf Ali Khan

“…Multi-Energy Systems (MES) allow optimal interactions between different energy sources. …”
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Evaluation and Application of Environmental Value of Rural Land Resources Based on Improved GIS System by Xiaoyan Wang, LuHui Wang, Guohua Liu, Jiankun Chu

“…As the basis and material source of human production and life, land is an important part of natural resources. …”
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MEASUREMENT OF THE EFFECTIVENESS OF PUBLIC AID FOR FARMS IN POLAND by Marek Wigier, Marian Podstawka

“…The research indicates that effective investments are the source of long-term development and economic success. …”
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Spurious Additional Warming Reconstructed From Borehole Temperatures Corrected for the Effect of the Last Glacial Cycle by Jan Šafanda

“…Abstract Reconstructions of past ground surface temperature changes from temperature logs conducted in several hundred meter deep boreholes have proved to be a valuable independent source of information on climate variations over the last millennium. …”
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Calculation of electron-optical characteristics of a quadrupole-cylindrical field by A.O. Saulebekov, A.A. Trubitsyn, Zh.T. Kambarova

“…A projection of charged particle trajectory from the source to its image has been calculated. The main aberration coefficients that determine the conditions of secondorder angular focusing are calculated. …”
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Amniotic fluid MSCs for scaffold-free cartilage repair: spheroid fusion and chondrogenic microtissue development by Carolina Coli Zuliani, Jéssica Bruna da Cunha, Victor Marchiori de Souza, Kleber Cursino de Andrade, Ângela Maria Moraes, Ibsen Bellini Coimbra

“…This study investigates amniotic fluid-derived mesenchymal stromal cells (AF-MSC) as a promising cell source for tissue engineering.Research design and method Cartilage-like microtissues were produced by differentiating AF-MSC into chondrocytes within a 3D culture system. …”
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Tracking algorithm when managing competitive activities of top level teams online based on computer visioncomputer vision by A. A. Polozov, N. A. Maltceva, G. S. Kramarenko, M. A. Lipilin, A. R. Akhmetzyanov

“…The purpose of the work is to determine the optimal method for using athlete tracking when used online.Method. …”
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An Energy-Function-Based Approach for Power System Inertia Assessment by Shizheng Wang, Zhenglong Sun

“…With the increasing popularity of low-cost, clean, and environmentally friendly new energy sources, the proportion of grid-connected new energy units has increased significantly. …”
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WEB SERVICE OF WORKS PLANNING USING NETWORK GRAPH by Інна Грод, Надія Балик, Ярослав Василенко, Сергій Мартинюк, Василь Олексюк, Ольга Барна

“…The conducted research allowed us to draw a conclusion that some discrete process management issues (namely time management) need further consideration and research. Materials and Methods. During the study, a set of theoretical, empirical, and modeling methods were applied, in particular: systematic analysis of scientific and methodological sources, the results of domestic and foreign experience on the problem, review of existing software to determine the problem solution state and select development tools of web service, analysis of methods and technologies network graphs construction, generalization of information on the problem. …”
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Ultrasensitive turn-off fluorescent sensor for estimation of the new influenza antiviral prodrug baloxavir marboxil in its pharmaceutical formulation by Amira S. Gouda, Mamdouh R. Rezk, Ahmed M. Abdel-Megied, Hoda M. Marzouk

“…Thiosemicarbazide was used as a nitrogen and sulfur source, while citric acid was used as a carbon source to produce fluorescent probes. …”
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Enhancing synchrotron radiation micro-CT images using deep learning: an application of Noise2Inverse on bone imaging by Yoshihiro Obata, Dilworth Y. Parkinson, Daniël M. Pelt, Claire Acevedo

“…Noise present during data acquisition from the testing setup was determined to be the primary source of concern for Noise2Inverse viability. While these limitations exist, incorporating dose calculations and optimal imaging parameters enables self-supervised deep learning methods such as Noise2Inverse to be integrated into existing experiments to decrease radiation dose.…”
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A Dual-Task Approach for Onset Time Picking and the Detection of Microseismic Waveforms Based on Deep Learning by Hang Zhang, Ruoyu Li, Chunchi Ma, Xiaobing Cheng, Simeng Meng, Zhenxing Huang, Di Li

“…A comparison of the proposed method with existing methods and applications in underground engineering projects helped demonstrate the excellent performance of this method. …”
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