Effect of temperature on the modal parameters of continuous rigid frame bridge by Yang Yang, Md Sulayman Hossen, Giuseppe Lacidogna, Wenming Xu, Ibna Kawsar, Junbo Sun, Shameem Hossain

“…Moreover, the correlation coefficients of frequencies and damping ratios at different temperatures have been evaluated by this observation, which will assist in identifying the large continuous rigid frame bridge's health at various temperatures.…”
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Pseudo Inefficiency in Multi-Period Systems: A DEA-based Approach by Mahsa Torkavannezhad, Ghasem Tohidi, Behrouz Daneshian, Mahnaz Maghbouli, Farzin Moddarres Khiyabani

“…If this ratio is close to unity, these two quantities have no significant difference. Otherwise, the estimate claims pseudo-inefficiencyFindings: A comparison is made between Kao and Liu [8] and the proposed algorithm to measure the efficiency of 22 Taiwanese commercial banks from 2009-2011. …”
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Mathematical Modelling of Glucose-Insulin System and Test of Abnormalities of Type 2 Diabetic Patients by Wellars Banzi, Immaculate Kambutse, Vincent Dusabejambo, Eric Rutaganda, Froduald Minani, Japhet Niyobuhungiro, Lydie Mpinganzima, Jean Marie Ntaganda

“…In order to identify and evaluate possible abnormalities of type 2 diabetic patients, the Sampling Importance Resampling (SIR) particle filtering algorithm is used and implemented through discretization of the developed mathematical model. …”
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Predicting visual acuity of treated ocular trauma based on pattern visual evoked potentials by machine learning models by Hongxia Hao, Jiemin Chen, Yifei Yan, Yifei Yan, Qi Zhang, Qi Zhang, Zhilu Zhou, Wentao Xia

“…Various ophthalmic parameters were input into the above algorithms for model training, and the performance of the algorithms was analyzed from the difference between the prediction value and the ground truth. …”
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Optimal directional overcurrent relay settings for stable microgrids with synchronous and inverter-based resources by Abdelfattah A. Eladl, Ahmed N. Sheta, M. Elgamal, Juan C. Vasquez, Bishoy E. Sedhom

“…Critical clearing times for DERs, accounting for inverter-based DER participation, are determined and integrated with coordination constraints to obtain DOCR settings using genetic algorithm. The proposed scheme is evaluated on an IEEE 33-bus test system with synchronous and inverter-based DERs.…”
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Refined Assessment Method of Offshore Wind Resources Based on Interpolation Method by Wenchuan Meng, Zaimin Yang, Zhi Rao, Shuang Li, Xin Lin, Jingkang Peng, Yuwei Cao, Yingquan Chen

“…To enhance the prediction accuracy of offshore wind speed, this study employs an interpolation algorithm to improve spatial resolution based on the ERA5 reanalysis dataset. …”
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UAV Data Collection Co-Registration: LiDAR and Photogrammetric Surveys for Coastal Monitoring by Carmen Maria Giordano, Valentina Alena Girelli, Alessandro Lambertini, Maria Alessandra Tini, Antonio Zanutta

“…The combination of multiple drone datasets (LiDAR and photogrammetric clouds) is performed via indirect georeferencing, using different executions of the ICP procedure. The ICP algorithm is affected by the differences in the vegetation reconstruction by the two sensors, which may lead to a rotation of the slave cloud. …”
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Multi-Level Intertemporal Attention-Guided Network for Change Detection in Remote Sensing Images by Shuo Liu, Qinyu Zhang, Yuhang Zhang, Xiaochen Niu, Wuxia Zhang, Fei Xie

“…Change detection (CD) is detecting and evaluating surface changes by comparing Remote Sensing Images (RSIs) at different times, which is of great significance for environmental protection and urban planning. …”
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Adaptive multi classifier traffic data interpolation model based on information entropy by Yunkai ZHANG, Jin GAO, Qing LI, Xu WANG

“…First,information entropy representing "disorder degree" was introduced to evaluate prediction quality and determine multi-classifier weights. …”
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Distributed Cognitive Positioning System Based on Nearest Neighbor Association and Multi-Point Filter Initiation for UAVs Using DTMB and INS by Li Zha, Hai Zhang, Na Wang, Cancan Tao, Kunfeng Lv, Ruirui Zhang

“…Finally, the effectiveness of the positioning at a constant altitude is evaluated through different vehicle-mounted scenarios with a speed of 60 km/h. …”
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Advancing Engineering Solutions with Protozoa-Based Differential Evolution: A Hybrid Optimization Approach by Hussam N. Fakhouri, Faten Hamad, Abdelraouf Ishtaiwi, Amjad Hudaib, Niveen Halalsheh, Sandi N. Fakhouri

“…The performance of HPDE was evaluated on the CEC2014 benchmark functions, and it was compared against two sets of state-of-the-art optimizers comprising 23 different algorithms. …”
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Panel Temperature Dependence on Atmospheric Parameters of an Operative Photovoltaic Park in Semi-Arid Zones Using Artificial Neural Networks by Sonia Montecinos, Carlos Rodríguez, Andrea Torrejón, Jorge Cortez, Marcelo Jaque

“…The ANN model’s effectiveness was evaluated by comparing it to five different deterministic models: the Standard model, King’s model, Faiman’s model, Mattei’s model, and Skoplaki’s model. …”
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RAD-Seq-derived SSR markers: a new paradigm for genetic analysis and construction of genetically improved production populations in Pinus koraiensis by Pingyu Yan, Wanying Zhang, Junfei Hao, Xiaotian Miao, Jun Wu, Zixiong Xie, Zhixin Li, Lei Zhang, Hanguo Zhang

“…No statistically significant genetic differentiation was observed among the subgroups within the population, and the level of genetic diversity was comparable among subgroups delineated by different criteria. Significant differences in cone production were observed between the plus trees (P<0.01). …”
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A highly scalable deep learning language model for common risks prediction among psychiatric inpatients by Enzhao Zhu, Jiayi Wang, Guoquan Zhou, Chunbo Li, Fazhan Chen, Kang Ju, Liangliang Chen, Yichao Yin, Yi Chen, Yanping Zhang, Xu Zhang, Xinlin Zhou, Zongyuan Wang, Jianping Qiu, Hui Wang, Weizhong Shi, Feng Wang, Dong Wang, Zhihao Chen, Jiaojiao Hou, Hui Li, Zisheng Ai

“…Analysis was carried out between August 2024 and June 2024. Models with different architectures and input settings were compared with each other. …”
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Machine learning and multi-omics analysis reveal key regulators of proneural–mesenchymal transition in glioblastoma by Can Xu, Jin Yang, Huan Xiong, Xiaoteng Cui, Yuhao Zhang, Mingjun Gao, Lei He, Qiuyue Fang, Changxi Han, Wei Liu, Yangyang Wang, Jin Zhang, Ying Yuan, Zhaomu Zeng, Ruxiang Xu

“…Functional and pathway analyses showed that PMTRGs were highly expressed in the C1 subcluster, which was associated with GBM mesenchymal isoforms, pathways, and poor prognosis, and showed stronger immune responses. Four immune evaluation algorithms and TIDE analysis showed that the C1 cluster had high levels of immune cell infiltration and immune molecule scores. …”
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Investigating the molecular mechanisms and clinical potential of APO+ endothelial cells associated with PANoptosis in the tumor microenvironment of hepatocellular carcinoma using s... by Zhaorui Cheng, Xiangyu Yang, Yi Ren, Huimin Wang, Qi Zhang, Sailing Lin, Wenhao Wu, Xiaolu Yang, Jiahan Zheng, Xinzhu Liu, Xin Tao, Xiaoyong Chen, Yuxin Qian, Xiushen Li

“…Finally, a CCK8 assay was conducted to evaluate the effect of APOH+ HUVECs on HCC cell proliferation. …”
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Energy Management of a 1 MW Photovoltaic Power-to-Electricity and Power-to-Gas for Green Hydrogen Storage Station by Dalila Hidouri, Ines Ben Omrane, Kassmi Khalil, Adnen Cherif

“…The proposed system architecture is governed by an innovative energy optimization and management (EMS) algorithm, allowing forecasting, control, and supervision of various PV–hydrogen–Grid transfer scenarios. …”
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A Robotic Prosthetic Hand for Computer Mouse Operations by Ziming Chen, Yiming He, Boao Li, Huasong Min, Fuchun Sun, Shuguang Li, Bin Fang

“…In addition, a mapping between the hand movements (myoelectric signals) and the computer mouse operations is created by combining a neural network classifier and a post‐processing algorithm. Herein, the proposed system's performance is evaluated through a series of cursor control tasks involving both the able‐bodied and amputee participants. …”
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Integrative multi-omics and machine learning reveal critical functions of proliferating cells in prognosis and personalized treatment of lung adenocarcinoma by Shun Wang, Dingtao Hu, Ruohuang Wang, Jie Huang, Baoqing Wang

“…An integrative machine learning program, comprising 111 algorithms, was developed to construct a Scissor+ proliferating cell risk score (SPRS). …”
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Distributed energy storage configuration considering the vulnerability of active distribution network by ZHU Peixue, GUO Qian, LI Lingzhi, ZHENG Di, CAI Hui

“…Based on the constant power charge and discharge strategy of energy storage, the optimal charge and discharge strategy is formulated for different capacities to realize the optimization of energy storage charge and discharge. …”
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