Remote Photoplethysmography Technology for Blood Pressure and Hemoglobin Level Assessment in the Preoperative Assessment Setting: Algorithm Development Study by Selene Y L Tan, Jia Xin Chai, Minwoo Choi, Umair Javaid, Brenda Pei Yi Tan, Belinda Si Ying Chow, Hairil Rizal Abdullah

“…MethodsWe conducted the study at Singapore General Hospital from March 1, 2023, to June 28, 2024. …”
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Finite Element Dynamic Modeling of Smart Structures and Adaptive Backstepping Control by Zhipeng Xie, Dachang Zhu, Zhenzhang Liu, Yun Long, Fangyi Li

“…This paper proposes a modeling method that combines finite element unit bodies and orthogonal characteristic mode reduction to construct an accurate dynamic model of the smart structure and design an adaptive backstepping controller. …”
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A prediction model for guiding tumor microwave ablation surgery based on simulation by Lu Qian, Yamin Yang, Pan Chen, Jia Liu, Xiaofei Jin, Zhiyu Qian, Chunxiao Chen

“…Compared to traditional simulation methods, our approach reduces the long-diameter error of the ablation zone from 1.1[Formula: see text]cm to 0.29[Formula: see text]cm, achieving a 74% reduction in error. …”
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Development of the Ward Nurses' Perspective-taking of the Staff Receiving Discharged Patients Scale: An observational study of ward nurses. by Shingo Tanaka, Masatoshi Saiki, Yukie Takemura

“…Item reduction was conducted based on inter-item correlations, item-total correlations, and exploratory factor analysis. …”
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RMIS-Net: a fast medical image segmentation network based on multilayer perceptron by Binbin Zhang, Guoliang Xu, Yiying Xing, Nanjie Li, Deguang Li

“…This architecture achieves significant parameter reduction while enhancing local feature representation through optimized shift operations. …”
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Low-overhead defect-adaptive surface code with bandage-like super-stabilizers by Zuolin Wei, Tan He, Yangsen Ye, Dachao Wu, Yiming Zhang, Youwei Zhao, Weiping Lin, He-Liang Huang, Xiaobo Zhu, Jian-Wei Pan

“…Abstract To make practical quantum algorithms work, large-scale quantum processors protected by error-correcting codes are required to resist noise and ensure reliable computational outcomes. …”
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An Underground Goaf Locating Framework Based on D-InSAR with Three Different Prior Geological Information Conditions by Kewei Zhang, Yunjia Wang, Feng Zhao, Zhanguo Ma, Guangqian Zou, Teng Wang, Nianbin Zhang, Wenqi Huo, Xinpeng Diao, Dawei Zhou, Zhongwei Shen

“…The quantitative performance results indicate that, (1) under a detailed prior information condition, PIM achieves enhanced dimensional parameter estimation accuracy with 6.9% reduction in maximum relative error; (2) in a moderate prior information condition, both models demonstrate comparable estimation performance; and (3) for a limited prior information condition, ODM exhibits superior parameter estimation capability showing 3.4% decrease in maximum relative error. …”
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Multi-Level Decomposition and Interpretability-Enhanced Air Conditioning Load Forecasting Study by Xinting Yang, Ling Zhang, Hong Zhao, Wenhua Zhang, Chuan Long, Gang Wu, Junhao Zhao, Xiaodong Shen

“…Results show that the proposed method significantly outperforms the LSTM model without decomposition and other benchmark models in prediction accuracy, with the Root Mean Square Error (RMSE) reductions ranging from 40.26% to 74.18% and the Modified Mean Absolute Percentage Error (MMAPE) reductions from 37.75% to 73.41%. …”
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Impact of CO2-water-coal on enhanced coalbed methane recovery by CO2 injection in Huainan coalfield by Helong ZHANG, Shiqi LIU, Yuchen TIAN, Wenkai WANG, Shuxun SANG, Sijian ZHENG, Bing LI, Yongchun CHEN

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Experimental study on rock fracture toughness under temperature and confining pressure coupling condition by Bo Cai, Nailing Xiu, Dongxu Li, Haifeng Fu, Xiaodong Dai, Dawei Deng, Hexiang Zhao, Xueyuan Han, Songyang Yuan, Liangang Deng

“…Key findings reveal a temperature-dependent degradation of fracture toughness (40% reduction from 25°C to 200°C at zero confining pressure) and a confining pressure-driven enhancement (76% increase from 0 to 100 MPa at ambient temperature). …”
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Study on carbon emissions of a small hydropower plant in Southwest China by Caihong Tang, Yiling Leng, Pengyu Wang, Jian Feng, Shanghong Zhang, Yujun Yi, Hui Li, Shaoliang Tian

“…The uncertainty was evaluated using the error propagation method. Following analysis, suggestions for carbon footprint reduction measures were proposed. …”
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Surface circulation characterization along the middle southern coastal region of Vietnam from high-frequency radar and numerical modeling by T. H. Tran, T. H. Tran, A. Sentchev, T. To Duy, M. Herrmann, S. Ouillon, S. Ouillon, K. C. Nguyen

“…Both methods achieved a significant reduction (<span class="inline-formula">∼</span> 36 %–40 %) in the error of the surface current velocity fields compared to the measured data. …”
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Global surface eddy mixing ellipses: spatio-temporal variability and machine learning prediction by Tian Jing, Ru Chen, Chuanyu Liu, Chunhua Qiu, Chunhua Qiu, Cuicui Zhang, Mei Hong

“…This resulted in a spatially averaged correlation increase of over 0.5 for predicting the minor axis and anisotropy, along with a reduction of more than 0.15 in the Normalized Root Mean Square Error. …”
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Obstacle avoidance algorithm based on sub-image segmentation and mapping point cloud space by Liya ZHANG, Chenxin LI, Bin LIU, Zhifang YANG

“…As a conventional means of intelligent inspection, inspection robots are of great significance for ensuring the safe production of coal mines and realizing the reduction of personnel and the enhancement of safety underground. …”
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Thermal Bending Simulation and Experimental Study of 3D Ultra-Thin Glass Components for Smartwatches by Shunchang Hu, Peiyan Sun, Zhen Zhang, Guojun Zhang, Wuyi Ming

“…Furthermore, a single-factor research method was employed to study the forming process parameters. …”
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Optimal Design of Linear Quadratic Regulator for Vehicle Suspension System Based on Bacterial Memetic Algorithm by Bala Abdullahi Magaji, Aminu Babangida, Abdullahi Bala Kunya, Péter Tamás Szemes

“…The outcomes reveal that the LQR-BMA effectuates efficient and highly stable control system performance compared to the LQR-GA and LQR-VEGA methods. From the results, the BMA-optimized model achieves reductions of 77.78%, 60.96%, 70.37%, and 73.81% in the sprung mass displacement, unsprung mass displacement, sprung mass velocity, and unsprung mass velocity responses, respectively, compared to the GA-optimized model. …”
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The Application of Vibroacoustic Mean and Peak-to-Peak Estimates to Assess the Rapidly Changing Thermodynamic Process of Converting Energy Obtained from Various Fuel Compositions U... by Marek Waligórski, Maciej Bajerlein, Wojciech Karpiuk, Rafał Smolec, Jakub Pełczyński

“…Dimethyl ether positively influenced engine performance, emissions, and vibration reduction. The proposed method can predict combustion irregularities and detect their sources in engine designs with high kinetic energy, hybrid combustion modeling, and fuel composition identification. …”
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Design and testing of a lotus root harvester with a collection device by Xiaofeng Zhou, Lizi Liu, Yunfu Luo, Hui Wang

“…Using coupled computational fluid dynamics–discrete element method (CFD–EDEM) simulations, hydraulic parameters were optimized (nozzle diameter: 12.01 mm; flushing angle: 46.59°; clearance: 50.25 mm), achieving a simulated soil fragmentation rate of 29.02 % (simulation error: 0.8 %). …”
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Prediction of moisture content of hummus peach based on multi-burr hyperspectral data by GAO Aidi, QIAO Fengzhang, ZHU Wenxuan, ZHONG Xiaopin, DENG Yuanlong

“…To address the high-dimensional and small sample size characteristics of the data, the principal component analysis algorithm (PCA) was used for dimensionality reduction, followed by outlier removal using the Mahalanobis distance measure method (MD). …”
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Advancing precision dentistry: the integration of multi-omics and cutting-edge imaging technologies—a systematic review by Neelam Das

“…CBCT reduced diagnostic error by 35% (CI: 30%–40%), while MRI improved soft-tissue evaluation by 25% (CI: 18%–32%). …”
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