Research Progress on Atmospheric Turbulence Perception and Correction Based on Adaptive Optics and Deep Learning by Qinghui Liu, Yihang Di, Mengmeng Zhang, Zhenbo Ren, Jianglei Di, Jianlin Zhao

“…Adaptive optics (AO) represents a sophisticated methodology for optical enhancement through real‐time wavefront measurement and adaptive compensation of medium‐induced phase distortions. Recent years have witnessed substantial advancements in AO technology, driven by synergistic progress in fundamental theories, optoelectronic devices, and computational algorithms. …”
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QPPLab: A generally applicable software package for detecting, analyzing, and visualizing large-scale quasiperiodic spatiotemporal patterns (QPPs) of brain activity by Nan Xu, Behnaz Yousefi, Nmachi Anumba, Theodore J. LaGrow, Xiaodi Zhang, Shella Keilholz

“…Quasi-periodic patterns (QPPs) are prominent spatiotemporal brain dynamics observed in functional neuroimaging data, reflecting the alternation of high and low activity across brain regions and their propagation along cortical gradients. QPPs have been linked to neural processes such as attention, arousal fluctuations, and cognitive function. …”
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A Normal Mode Model Based on the Spectral Element Method for Simulating Horizontally Layered Acoustic Waveguides by Yinuo Zhang, Houwang Tu, Yongxian Wang, Guojun Xu, Dongbao Gao

“…The perfectly matched layer technique is employed to simulate acoustic half-space boundary conditions, effectively addressing the high computational costs and numerical instability associated with traditional artificial absorbing layers. Based on these algorithms, we have developed a numerical program (SEM). …”
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Safety assessment of sodium zirconium cyclosilicate: A FAERS-based disproportionality analysis. by Yongfei Yu, Kaiyu Zhang, Jinglin Gao, Guoshun Huang, Chen Yong, Yuan Wei, Enchao Zhou

“…However, limited reports have described its real-world safety. In this study, we used the Food and Drug Administration Adverse Event Reporting System (FAERS) database to evaluate the safety profilet of SZC. …”
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Disseminated intravascular coagulation by Satoshi Gando, Marcel Levi, Cheng-Hock Toh

“…Histones derived from cellular damage play central roles in the innate-immune-based coagulation model, comprising the initiation, amplification, propagation, and reinforcement phases, which, if dysregulated, develop into DIC. …”
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Iterative PolInSAR Target Decomposition for Scattering Characterization and Building Detection by Di Zhuang, Lamei Zhang, Bin Zou

“…In densely rotated built-up areas, restricted by interactive and complex scatterings, most polarimetric synthetic aperture radar scattering analyses and unsupervised building detection algorithms have failed, especially under conditions of large radar look angles. …”
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Harmonization of multi-center diffusion tensor tractography in neonates with congenital heart disease: Optimizing post-processing and application of ComBat by Benjamin Meyers, Vincent K. Lee, Lauren Dennis, Julia Wallace, Vanessa Schmithorst, Jodie K. Votava-Smith, Vidya Rajagopalan, Elizabeth Herrup, Tracy Baust, Nhu N. Tran, Jill V. Hunter, Daniel J. Licht, J. William Gaynor, Dean B. Andropoulos, Ashok Panigrahy, Rafael Ceschin

“…Few harmonization techniques have been developed for neonatal brain microstructural (diffusion tensor) analysis. …”
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On the Extended Simple Equations Method (SEsM) and Its Application for Finding Exact Solutions of the Time-Fractional Diffusive Predator–Prey System Incorporating an Allee Effect by Elena V. Nikolova

“…The novelty in the extended SEsM algorithm is that, in addition to introducing more simple equations in the construction of the solutions of the studied FNPDEs, it is assumed that the selected simple equations have different independent variables (i.e., different coordinates moving with the wave). …”
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Drug-induced second tumors: a disproportionality analysis of the FAERS database by Shupeng Chen, Yuzhe Zhang, Xiaojian Li, Nana Tang, Yingjian Zeng

“…However, most existing studies have focused on individual drugs or small patient cohorts, lacking large-scale, real-world data evaluations. …”
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An artificial intelligence approach to palaeogeographic studies: a case study of the Late Ordovician brachiopods of Laurentia by Akbar Sohrabi

“…In recent years, more quantitative methods have been used by paleontologists, in order to have a more comprehensive understanding of the relationships between fossils and their palaeogeography, palaeoecology, palaeobiology, and evolutionary history. …”
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Nonreciprocal surface plasmonic neural network for decoupled bidirectional analogue computing by Xiaomeng Li, Haochen Yang, Enzong Wu, Xincheng Yao, Ying Li, Fei Gao, Hongsheng Chen, Zuojia Wang

“…Abstract To address the burgeoning demand for computing capacity in artificial intelligence, researchers have explored optical neural networks that show advantages of ultrafast speed, low power consumption, ultra-high bandwidth, and high parallelism. …”
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Peculiarities of acoustic diagnostic methods in pediatric practice (literature review, own research) by Yu.V. Marushko, O.V. Khomych

“…Sound, as a physical phenomenon, is the propagation of longitudinal elastic waves in a medium, for example, in the air. …”
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Comparison of safety of lecanemab and aducanumab: a real-world disproportionality analysis using the FDA adverse event reporting system by Lingti Kong, Lingti Kong, Lingti Kong, Xiaohu Yang, Xiaohu Yang, Jian Xu, Jian Xu

“…Four positive signal detection algorithms were used, namely, the Ratio-to-Ratio (ROR), proportional reporting ratio (PRR), multi item gamma poisson shrinker (MGPS), and bayesian belief propagation neural network (BCPNN). …”
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Echolocation of bats (Chiroptera Blumenbach, 1779) as an element of their ecological plasticity by E. M. Shchelkanov, S. S. Ukolov, M. N. Dunaeva, T. V. Moskvina, I. A. Popov, Yu. A. Belov, N. N. Kakareka, A. V. Ganzevich, V. F. Tolkach, Yu. G. Volkov, I. V. Galkina, M. Yu. Shchelkanov

“…Spallanzani in the 18th century; the first scientifically based assumptions regarding the use of ultrasound by bats and the discovery of this phenomenon in the middle of the last century; methods for emitting and receiving ultrasound by various taxonomic groups of bats; physical patterns underlying the propagation of ultrasonic waves; characteristics of the returned echo and algorithms for echolocation in bats; echolocation interactions between insectivorous bats and nocturnal moths and possibilities for ultrasonic monitoring of bat populations.Conclusion. …”
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Distributed Continuous Nearest Neighbors Search over Moving Objects on Wireless Sensor Networks by Chuan-Ming Liu, Chuan-Chi Lai

“…In this thesis, we propose a distributed C k NN search algorithm (DC k NN) on wireless sensor networks (WSNs) based on the Voronoi diagram. …”
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InvarNet: Molecular property prediction via rotation invariant graph neural networks by Danyan Chen, Gaoxiang Duan, Dengbao Miao, Xiaoying Zheng, Yongxin Zhu

“…Recently, deep learning methods, particularly Graph Neural Networks (GNNs), have significantly improved efficiency by capturing molecular structures’ invariance under translation, rotation, and permutation. …”
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Analyzing the adverse events of NK-1 receptor antagonists: a pharmacovigilance study from the FAERS database by Hong Pan, Xiang Shi, Yiguo Jiang, Jiaqiang Wu, Li Shen

“…Besides known AEs, we have identified several new high-risk AEs, such as inappropriate antidiuretic hormone secretion, adrenal insufficiency and hyponatraemia. …”
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Phase tomography with axial structured illumination by Nishant Goyal, Kedar Khare

“…Despite this algorithmic framework shift, the HT system hardware still largely uses the multi-angle illumination geometries that were suitable for reconstructions based on the Fourier diffraction theorem. …”
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Real-Time Vocal Tract Model for Elongation of Segment Lengths in a Waveguide Model by Tahir Mushtaq QURESHI, Muhammad ISHAQ

“…In the current work, the uniform cylindrical segments of the vocal tract may have their different lengths, the time taken by the sound wave to propagate through a cylindrical segment in an axial direction may not be an integer multiple of each other. …”
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Target repositioning using multi-layer networks and machine learning: The case of prostate cancer by Milan Picard, Marie-Pier Scott-Boyer, Antoine Bodein, Mickaël Leclercq, Julien Prunier, Olivier Périn, Arnaud Droit

“…Second, by extracting relevant features from the network using several approaches including proximity to disease-associated genes, but also unbiased approaches such as propagation-based methods, topological metrics, and module detection algorithms. …”
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