EDT-MCFEF: a multi-channel feature fusion model for emergency department triage of medical texts by Tao Lin, Shiming Yi

“…However, traditional triage methods frequently depend on human judgment, which is susceptible to high subjectivity and low efficiency.MethodsTo address these issues, this paper presents a novel emergency department triage algorithm. …”
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Frame Theory and Fractional Programming for Sparse Recovery-Based mmWave Channel Estimation by Razvan-Andrei Stoica, Hiroki Iimori, Giuseppe Thadeu Freitas de Abreu, Koji Ishibashi

“…The first is a complete frame-theoretical treatment of the sensing matrix design (beam management) problem, compactly described by a pair of Lemmas that together with efficient low-coherence frame construction algorithms offer a general solution for the optimal transmitter (Tx) and receiver (Rx) beamforming components of the sparse mmWave channel estimation problem. …”
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U-Sodar: Noncontact Vital Sign Detection Technology Based on Ultrasonic Radar by Shuaiming HUANG, Xiaohua ZHU, Wubin WANG, Heng ZHAO, Hong HONG

“…To address these challenges, this paper introduces a noncontact vital signal collection device using Ultrasonic radar (U-Sodar), including a set of hardware based on a three-transmitter four-receiver Multiple Input Multiple Output (MIMO) architecture and a set of signal processing algorithms. The U-Sodar local oscillator uses frequency division technology with low phase noise and high detection accuracy; the receiver employs front-end direct sampling technology to simplify the involved structure and effectively reduce external noise, and the transmitter uses an adjustable PWM direct drive to emit various ultrasonic waveforms, possessing software-defined ultrasonic system characteristics. …”
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Overhead line path planning based on deep reinforcement learning and geographical information system by Jiahui Chen, Yi Yang, Ling Peng, Lina Yang, Yinhui Han, Xingtong Ge

“…Current overhead line planning primarily relies on manual labor, and existing automated algorithms have low adaptability, making it difficult to efficiently accomplish path planning tasks under various environments and objectives. …”
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Application of High-Resolution Core Curve Construction in Logging Lithology Identification by YOU Ting, ZHU Tianyi, XU Pengye, WANG Shuhua, HE Xing, YU Lijun

“…Stratum lithology identification based on logging curves is an important direction in the interpretation of logging data, it is usually combined with drilling and coring experiments. …”
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The effect of materials and methods of the sella turcica bottom plastic surgery after transsphenoidal pituitary adenoma surgery on the incidence of nasal liquorrhea by V. Yu. Cherebillo, Yu. I. Ryumina, A. V. Dubinina

“…Simple low-traumatic plastic surgery methods are highly effective in solving this problem. …”
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Effectiveness of biomarker-guided duration of antibiotic treatment in children hospitalised with confirmed or suspected bacterial infection: the BATCH RCT by Cherry-Ann Waldron, Philip Pallmann, Simon Schoenbuchner, Debbie Harris, Lucy Brookes-Howell, Céu Mateus, Jolanta Bernatoniene, Katrina Cathie, Saul N Faust, Josie Henley, Lucy Hinds, Kerry Hood, Chao Huang, Sarah Jones, Sarah Kotecha, Sarah Milosevic, Helen Nabwera, Sanjay Patel, Stéphane Paulus, Colin VE Powell, Jenny Preston, Huasheng Xiang, Emma Thomas-Jones, Enitan D Carrol

“…HCPs took a while to become familiar with the intervention algorithm, and as the intervention test did not align with the clinical pathway, often there were delays in getting the PCT results, which meant that adherence to the algorithm was low. …”
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Integration of a novel Vernier-DSPM generator in a grid connected hybrid renewable energy system with battery storage by Abderrahmane Redouane, Rachid Saou, Youcef Belkhier, Amrane Oukaour

“…Unlike conventional wind turbine systems, this paper uses a direct-drive high torque low speed generator called the Vernier Doubly Salient Permanent Magnet Generator (V-DSPMG). …”
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Selective Sensing and Access Strategy to Maximize Throughput in Cognitive Radio Sensor Network by Weijun Li, Chao Yang, Zhenquan Wu, Beihai Tan, Yuli Fu

“…The unselected channels are accessed directly with low transmission power. A selection making algorithm based on partially observable Markov decision process (POMDP) theory is proposed, to make the SU determine which channels are selected for sensing, how long the sensing time, and the transmission powers of channels. …”
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MEchain—A novel mode to improve blockchain's real‐time and throughput by Yunwei Cao, Ting Yang, Yu Wang, Gang Mao

“…Many popular blockchain platforms sacrifice scalability to preserve decentralization and security, resulting in low speed, reduced throughput, and poor real‐time performance (the time from transaction initiation to confirmation). …”
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Thromboembolism in Patients with Cancer: A Practical Guide to Recurrent Events by Sergey Kozhukhov, Nataliia Dovganych

“…Anticoagulation plays a key role in the treatment of cancer-associated thrombosis (CAT). Low-molecular-weight heparin (LMWH) or direct oral anticoagulants (DOACs) are effective and generally safe options for cancer-associated VTE. …”
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Roadside LiDAR Vehicle Detection and Tracking Using Range and Intensity Background Subtraction by Tianya Zhang, Peter J. Jin

“…In this study, we developed the solution of roadside LiDAR object detection using a combination of two unsupervised learning algorithms. The 3D point clouds are firstly converted into spherical coordinates and filled into the elevation-azimuth matrix using a hash function. …”
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A quality enhancement method for vehicle trajectory data using onboard images by Bozhao Li, Zhongliang Cai, Hanzhi Wei, Shiliang Su, Wenchun Cao, Yanfen Niu, Hao Wang

“…Crowdsourcing is essential for real-time map updates. However, low-cost GPS devices often cause issues such as trajectory point deviation and key attribute missing, which reduces the potential application of trajectory data and subsequently impacts the accuracy of map updates and the quality of transportation services. …”
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Techno-economic analysis and energy management strategies for micro gas turbines: A state-of-the-art review by A.H. Samitha Weerakoon, Mohsen Assadi

“…The review reveals that while standalone Micro Gas Turbines face economic challenges, their integration with photovoltaic and battery bank systems significantly improves cost-effectiveness, achieving a cost of electricity as low as $0.263/kWh. Additionally, the optimization of Micro Gas Turbine systems using advanced algorithms enhances energy efficiency by 10–15%, highlighting the importance of smart control systems and optimal component sizing. …”
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Verifying Measurements of Surface Current Velocities by X-Band Coherent Radar Using Drifter Data by Igor G. Gorbunov, Vladimir I. Veremyev, Vadim D. Shestak, Gleb V. Komarov, Stanislav A. Myslenkov, Ksenia P. Silvestrova

“…The drifter data on the current velocity and direction were used to verify radar measurements. Measurements were taken onboard of the research vessel at a low speed and different distances from the shore, near the drifters. …”
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Adaptive Optimization and Dynamic Representation Method for Asynchronous Data Based on Regional Correlation Degree by Sichao Tang, Yuchen Zhao, Hengyi Lv, Ming Sun, Yang Feng, Zeshu Zhang

“…Currently, various pre-processing algorithms exist for slicing and compressing event streams. …”
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An Adaptive Amplifier System for Wireless Sensor Network Applications by Mónica Lovay, Gabriela Peretti, Eduardo Romero, Carlos Marqués

“…The system presents a target gain that has to be maintained without direct human intervention despite the presence of faults. …”
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Study on Distributed Ultrasonic Detection Method of Two-dimensional Gas Temperature Field by LI Shaozhuang, SHI Youan, LU Xiaokang, CHEN Yu, WEI Dong

“…In addressing issues associated with inverse problems, such as the limitations of least squares and algebraic iterative methods, where the number of discrete points cannot exceed the number of propagation paths and the temperature resolution is low, a two-dimensional temperature field reconstruction algorithm based on logarithmic-quadratic (LQ) functions and singular value decomposition (SVD) was developed for autoclave conditions. …”
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Photovoltaic Array Fault Diagnosis and Localization Method Based on Modulated Photocurrent and Machine Learning by Yebo Tao, Tingting Yu, Jiayi Yang

“…Additionally, the equipment cost is low. The feasibility of the proposed method is demonstrated through practical experimentation. …”
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Quantum kernel t-distributed stochastic neighbor embedding by Yoshiaki Kawase, Kosuke Mitarai, Keisuke Fujii

“…In our numerical experiments, we visualize a hand-written digits data set and apply a k-nearest neighbor algorithm to the low-dimensional data to quantitatively evaluate our proposed method compared with a classical kernel method. …”
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