New insights into measurement variability in glaucomatous visual fields from computer modelling. by Richard A Russell, David F Garway-Heath, David P Crabb

“…One million VF simulations were generated from 1,000 VFs (1,000 simulations per 'ground-truth' VF), and the variability of simulated MDs was characterized as a function of ground-truth MD and Pattern Standard Deviation (PSD).…”
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Tremor and its duration‐amplitude distribution at Popocatépetl volcano, Mexico by R. Arámbula‐Mendoza, C. Valdés‐González, N. Varley, T. A. Reyes‐Pimentel, B. Juárez‐García

“…Abstract The duration‐amplitude distribution was calculated for the tremor observed at Popocatépetl volcano during episodes of activity in 2000 and 2012–2014. An exponential function was used to obtain a good fit for the duration‐amplitude distribution, and the source of volcanic tremor is probably generated by the transportation of magmatic fluids and its coupling with the host rock within the volcanic conduit. …”
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SK-TreePCN: Skeleton-Embedded Transformer Model for Point Cloud Completion of Individual Trees from Simulated to Real Data by Haifeng Xu, Yongjian Huai, Xun Zhao, Qingkuo Meng, Xiaoying Nie, Bowen Li, Hao Lu

“…Among the various point cloud completion methods evaluated, SK-TreePCN exhibits outstanding performance regarding the Chamfer distance (CD) and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>F</mi><mn>1</mn></mrow></semantics></math></inline-formula> Score. The generated point clouds display a more natural appearance and clearer branches. …”
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Deep reinforcement learning based online lifting path planning for tower cranes in unknown dynamic environments by Kai Wang, Jing Li, Zhiyuan Yin, Jiankang Zhang, Xin Ma

“…This paper proposes a lifting path planner to efficiently generate safe and smooth lifting paths for tower cranes in an unknown construction environment through a deep reinforcement learning (DRL) method. …”
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Exact block encoding of imaginary time evolution with universal quantum neural networks by Ermal Rrapaj, Evan Rule

“…We prove that this wave-function Ansatz is closed under the action of the imaginary time propagator and, more generally, can represent the action of a universal set of quantum gate operations. …”
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Super-resolution mapping of anisotropic tissue structure with diffusion MRI and deep learning by Alfredo Ordinola, David Abramian, Magnus Herberthson, Anders Eklund, Evren Özarslan

“…The proposed approach is evaluated on high quality data from the Human Connectome Project, and is shown to generate upsampled results with a greater correspondence to ground truth high-resolution data than can be achieved with ordinary spline interpolation methods. …”
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Research on multi-sensor fusion detection and tracking technology for autonomous-rail rapid transit tram by PAN Wenbo, YUAN Xiwen, LIN Jun, XIE Guotao, LONG Teng, HUANG Wenyu

“…Firstly, a millimeter-wave radar and LiDAR are used to perceive by single sensor, and the sensing results were merged by using a multi-source fusion algorithm, to generate more accurate detection results. Based on the false alarm filtering algorithm, the problem of false alarm probably caused by the millimeter wave radar was solved. …”
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Boyer-Moore String Matching Algorithm and SHA512 Implementation for Jpeg/exif File Fingerprint Compilation in DSA by Rachmad Fitriyanto, Anton Yudhana, Sunardi Sunardi

“…Hash value is important element inside DSA to identify information data integrity using hash function to generate message digest. Jpeg/exif is image file format that produce by digital camera as in smartphone. …”
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Structural strength analysis and optimization of converter lug based on Kriging model by HE Guanqiang, LIU Yongjiang, LI Hua, CHEN Liming

“…For typical rail transit converters, each static strength analysis with four working conditions costs at least 1 hour, and each random vibration analysis with one axis costs more than 8 hours. As a result, for using traditional engineering optimization methods to optimize the converter structure, the optimization efficiency will be severely limited, since these methods need to invoke a large amount of simulations as function evaluations. …”
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MMFOSOM: A Novel Multi-objective Moth–Flame Optimization Algorithm Based on Self-Organizing Mapping by Zhifu Li, Ziyang Zheng, Chengkai Ni, Mingzong Li

“…However, in cases with multiple objectives, selecting the best solution becomes more complex, as these objective functions often conflict with one another. …”
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Cyanidin-3-glucoside: targeting atherosclerosis through gut microbiota and anti-inflammation by Zihan Tang

“…It alters microbial composition and undergoes bacterial enzymatic metabolism to generate phenolic derivatives, including protocatechuic acid (PCA), which demonstrate enhanced systemic bioavailability and bioactivity. …”
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Drivers of business model innovation in micro and small enterprises: evidence from Egypt as an emerging economy by Rasha A. A. ElNaggar, Mayar Farrag ElSayed

“…This study ensures that BMI is a function of how resources can be deployed and configured dynamically to generate value.…”
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Mechanism of Transcranial Magnetic Stimulation Therapy for Neuropathic Pain by SUN Yujia, ZHANG Junfeng, YAN Long, FAN Shiyu, QIAN Yulin, CONG Shan, WANG Yu, YU Tao

“…As a mature non-invasive neuromodulation technique, transcranial magnetic stimulation (TMS) can generate transient magnetic pulses penetrating through the skull, induce changes in cortical neuronal potentials, and affect the function and structure of the nervous system, which can not only alleviate NP-related symptoms, but also improve NP-related emotional disorders. …”
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Systematisation of Scientific approaches to the definition of capital as an Economic and accounting category by M. V. Protasov

“…The scientific novelty of this work lies in the fact that, based on the historical-logical approach and the method of system-chronological analysis, the development of the definition of Capital in accounting and balance theories has been studied with the justification of its special function — an indicator of the increase or depletion of resources that generate economic benefits and profits remaining at the disposal of the owners of the organization. …”
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Predicting right ventricular failure after left ventricular assist device implant: A novel approach by Carissa E. Livingston, Dale Kim, Lacey Serletti, Andrea Jin, Sriram Rao, Michael V. Genuardi, Eliot G. Peyster

“…‘No RVF’ patients were defined as patients who never demonstrated more than moderate RV dysfunction on a post‐LVAD transthoracic echocardiogram (TTE) (ordinal RV function <3), never required an RV assist device (RVAD), were not discharged on sildenafil and were not on a pulmonary vasodilator or inotropic medication at 3 months after LVAD implant. …”
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R package to estimate intracluster correlation coefficient for nominal and ordinal data by Hrishikesh Chakraborty, Nicole Solomon

“…The function rccat() generates clustered categorical data, while the function iccmulti() estimates ICC and its CI. …”
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Multipotent Mesenchymal Stem Cell Treatment for Discogenic Low Back Pain and Disc Degeneration by Jeffrey Zeckser, Michael Wolff, Jason Tucker, Josh Goodwin

“…Low back pain with resultant loss of function, decreased productivity, and high economic costs is burdensome for both the individual and the society. …”
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A Historical Approach to the Mirror Neuron System by Palacios-Sánchez, Leonardo, Botía, Inés, Palacios-Espinosa, Ximena

“…The initial enthusiasm manifested with the discovery of MN has been progressively nuanced, giving rise to a functional, neuroscientific perspective that requires more evidence on its therapeutic utility and applicability in areas of knowledge beyond health sciences.…”
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The vascular endothelium as decision maker in lung injury by Diana Klein

“…The vascular endothelium is the largest organ in the human body, capable of performing a wide range of cellular signaling and synthetic functions. It is also subjected to considerable mechanical stress due to the shear forces generated by blood flow, which amounts to approximately 10,000 L per day. …”
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Experimental Investigation on Damage Characteristics and Early Warning of Frozen Coal under Uniaxial Compression by Xiang Sun, Bin Liu, Qi Dong, Feng Shi

“…The test results showed that the compressive strength of the frozen coal samples decreased significantly, and the strength of the saturated frozen coal samples was the lowest; more acoustic emissions were generated at the initial loading stage. …”
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