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Supermassive Primordial Black Holes for Nano-Hertz Gravitational Waves and High-redshift JWST Galaxies

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Research in Astronomy and Astrophysics 2024年第9期24卷 3-8页

作者： Hai-Long huang Yong Cai Jun-qian Jiang Jun Zhang yun-Song Piao School of Physical Sciences University of Chinese Academy of Sciences Institute for Astrophysics School of Physics Zhengzhou University International Centre for Theoretical Physics Asia-Pacific University of Chinese Academy of Sciences Taiji Laboratory for Gravitational Wave Universe (Beijing/Hangzhou) University of Chinese Academy of Sciences School of Fundamental Physics and Mathematical Sciences Hangzhou Institute for Advanced Study UCAS Institute of Theoretical Physics Chinese Academy of Sciences

Recently, observational hints for supermassive black holes have been accumulating, prompting the question: Can primordial black holes（PBHs） be supermassive, particularly with masses M?10～9M⊙? A supercritical bubble,containing an inflating baby universe, that nucleated during inflation can evolve into a PBH in our observable universe. We find that when the inflaton slowly transitions past a neighboring vacuum, the nucleation rate of supercritical bubbles inevitably peaks, leading to a mass distribution of multiverse PBHs with a peak mass up to M?1011M⊙. Thus, our mechanism naturally provides a primordial origin for supermassive black holes.

关键词： (cosmology:) early universe (cosmology:) inflation (galaxies:) quasars: supermassive black holes

Application of three-dimensional speckle tracking technique in measuring left ventricular myocardial function in patients with diabetes

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World Journal of Diabetes 2024年第4期15卷 783-792页

作者： Zheng Li Ying qian Chun-yun Fan Yong huang Department of Ultrasound The People’s Hospital of DanyangDanyang Hospital of Nantong UniversityDanyang 212300Jiangsu ProvinceChina Department of Endocrinology The People’s Hospital of DanyangDanyang Hospital of Nantong UniversityDanyang 212300Jiangsu ProvinceChina

BACKGROUND Diabetic cardiomyopathy is considered as a chronic complication of diabetes mellitus(DM).Therefore,early detection of left ventricular systolic function(LVSF)damage in DM is *** To explore the use of the three-dimensional speckle tracking technique(3D-STI)for measuring LVSF in DM patients via *** The electronic databases were retrieved from the initial accessible time to 29 April *** current study involved 9 studies,including 970 *** carried out this meta-analysis to estimate myocardial function in DM compared with controls according to myocardial strain attained by *** Night articles including 970 subjects were *** significant difference was detected in the left ventricular ejection fraction between the control and the diabetic group(P>0.05),while differences in global longitudinal strain,global circumferential strain,global radial strain,and global area strain were markedly different between the controls and DM patients(all P<0.05).CONCLUSION The 3D-STI could be applied to accurately measure early LVSF damage in patients with DM.

关键词： Diabetes mellitus Left ventricular systolic dysfunction Three-dimensional speckle tracking echocardiography Meta analysis

The tangential k-Cauchy-Fueter type operator and Penrose type integral formula on the generalized complex Heisenberg group

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Applied Mathematics(A Journal of Chinese Universities) 2024年第1期39卷 181-190页

作者： REN Guang-zhen SHI yun KANG qian-qian Department of Mathematics Zhejiang International Studies UniversityHangzhou 310023China Department of Mathematics Zhejiang University of Science and TechnologyHangzhou 310023China

The tangential k-Cauchy-Fueter operator and k-CF functions are counterparts of the tangential Cauchy–Riemann operator and CR functions on the Heisenberg group in the theory of several complex variables,*** this paper,we introduce a Lie group that the Heisenberg group can be imbedded into and call it generalized complex *** investigate quaternionic analysis on the generalized complex *** also give the Penrose integral formula for k-CF functions and construct the tangential k-Cauchy-Fueter complex.

关键词： the generalized complex Heisenberg group the tangential k-Cauchy-Fueter type operator Penrose-type integral formula

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Probabilistic seismic inversion based on physics-guided deep mixture density network

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Petroleum Science 2024年第3期21卷 1611-1631页

作者： qian-Hao Sun Zhao-yun Zong Xin Li National Key Laboratory of Deep Oil and Gas China University of Petroleum(East China)Qingdao266580ShandongChina Laoshan Laboratory Qingdao266580ShandongChina CNOOC Research Institute Ltd. Beijing100028China

Deterministic inversion based on deep learning has been widely utilized in model parameters *** by logging data,seismic data,wavelet and modeling operator,deterministic inversion based on deep learning can establish nonlinear relationships between seismic data and model ***,seismic data lacks low-frequency and contains noise,which increases the non-uniqueness of the *** conventional inversion method based on deep learning can only establish the deterministic relationship between seismic data and parameters,and cannot quantify the uncertainty of *** order to quickly quantify the uncertainty,a physics-guided deep mixture density network(PG-DMDN)is established by combining the mixture density network(MDN)with the deep neural network(DNN).Compared with Bayesian neural network(BNN)and network dropout,PG-DMDN has lower computing cost and shorter training time.A low-frequency model is introduced in the training process of the network to help the network learn the nonlinear relationship between narrowband seismic data and low-frequency *** addition,the block constraints are added to the PG-DMDN framework to improve the horizontal continuity of the inversion *** illustrate the benefits of proposed method,the PG-DMDN is compared with existing semi-supervised inversion *** synthetic data examples of Marmousi II model are utilized to quantify the influence of forward modeling part,low-frequency model,noise and the pseudo-wells number on inversion results,and prove the feasibility and stability of the proposed *** addition,the robustness and generality of the proposed method are verified by the field seismic data.

关键词： Deep learning Probabilistic inversion Physics-guided Deep mixture density network

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Gria:an efficient deterministic concurrency control protocol

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Frontiers of Computer Science 2024年第4期18卷 25-37页

作者： Xinyuan WANG yun PENG Hejiao huang School of Computer Science and Technology Harbin Institute of TechnologyShenzhen 518055China Institute of Artificial Intelligence and Blockchain Guangzhou UniversityGuangzhou 510006China

Deterministic databases are able to reduce coordination costs in a *** property has fostered a significant interest in the design of efficient deterministic concurrency control ***,the state-of-the-art deterministic concurrency control protocol Aria has three ***,it is impractical to configure a suitable batch size when the read-write set is ***,Aria running in low-concurrency scenarios,e.g.,a single-thread scenario,suffers from the same conflicts as running in high-concurrency ***,the single-version schema brings write-after-write *** address these issues,we propose Gria,an efficient deterministic concurrency control *** has the following ***,the batch size of Gria is ***,Gria’s conflict probability in low-concurrency scenarios is lower than that in high-concurrency ***,Gria has no write-after-write conflicts by adopting a multi-version *** further reduce conflicts,we propose two optimizations:a reordering mechanism as well as a rechecking *** evaluation result on two popular benchmarks shows that Gria outperforms Aria by 13x.

关键词： deterministic concurrency control transaction processing

A Comprehensive Overview of the Neural Mechanisms of Light Therapy

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Neuroscience Bulletin 2024年第3期40卷 350-362页

作者： Xiaodan huang qian Tao Chaoran Ren Guangdong-Hongkong-Macao Institute of CNS Regeneration Ministry of Education CNS Regeneration Collaborative Joint LaboratoryJinan UniversityGuangzhou 510632China Psychology Department School of MedicineJinan UniversityGuangzhou 510632China

Light is a powerful environmental factor influencing diverse brain *** evidence supports the beneficial effect of light therapy on several diseases,including depression,cognitive dysfunction,chronic pain,and sleep ***,the precise mechanisms underlying the effects of light therapy are still not well *** this review,we critically evaluate current clinical evidence showing the beneficial effects of light therapy on *** addition,we introduce the research progress regarding the neural circuit mechanisms underlying the modulatory effects of light on brain functions,including mood,memory,pain perception,sleep,circadian rhythm,brain development,and metabolism.

关键词： Light therapy Neural circuit Mood Cognition Pain Sleep Development Metabolism

Effect of the vortical structures on the hydrodynamic performance of a pitching hydrofoil

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Journal of Hydrodynamics 2024年第2期36卷 406-420页

作者： Rui Yuan Hui-yun Hao Qin Wu yun-qing Liu Biao huang School of Mechanical Engineering Beijing Institute of TechnologyBeijing100081China

The objective is to study the vortical structural behaviors of a transient pitching hydrofoil and their effects on the hydrodynamic performance. The pitching motion of the hydrofoil is set to pitch up with an almost constant rate from 5° to 15° and then back to 5°, with the Reynolds number 4.4×10^(5) and the frequency 2 Hz. The results show that the main coherent structures around the pitching hydrofoil include small-scale laminar separation bubble (LSB), large-scale second vortex (SV) and trailing edge vortex (TEV) which are all vortical. The relationship between the vortical structure and the lift is investigated with the finite-domain impulse theory. It indicates that the major part of the lift is contributed by the LSB, whereas the shedding and the formation of the SV and TEV cause the fluctuation of the lift. The proper orthogonal decomposition (POD) method is applied to capture the most energetic modes, revealing that the LSB mode occupies a large amount of energy in the flow field. The dynamic mode decomposition (DMD) method accurately extracts the dominant frequency and modal characteristics, with the first mode corresponding to the mean flow, the second mode corresponding to the LSB structure and the third and fourth modes corresponding to the vortex shedding.

关键词： Hydrodynamics vortical structures finite-domain impulse theory proper orthogonal decomposition(POD) dynamic mode decomposition(DMD) Pitching hydrofoil

Piecewise Acoustic Source Imaging with Unknown Speed of Sound Using a Level-Set Method

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Communications on Applied Mathematics and Computation 2024年第2期6卷 1070-1095页

作者： Guanghui huang Jianliang qian Yang Yang Petroleum Geo-Services HoustonTX 77079USA Department of Mathematics Michigan State UniversityEast LansingMI 48824USA Department of Computational Mathematics Science and EngineeringMichigan State UniversityEastLansingMI48824USA

We investigate the following inverse problem:starting from the acoustic wave equation,reconstruct a piecewise constant passive acoustic source from a single boundary temporal measurement without knowing the speed of *** the amplitudes of the source are known a priori,we prove a unique determination result of the shape and propose a level set algorithm to reconstruct the *** the singularities of the source are known a priori,we show unique determination of the source amplitudes and propose a least-squares fitting algorithm to recover the source *** analysis bridges the low-frequency source inversion problem and the inverse problem of *** proposed algorithms are validated and quantitatively evaluated with numerical experiments in 2D and 3D.

关键词： Inverse gravimetry Acoustic source imaging Inversion of sound speed Level-set method Inverse problem

Bioinformatics tools and resources for cancer and application

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中华医学杂志(英文版) 2024年第17期137卷 2052-2064页

作者： huang Jin Mao Lingzi Lei qian Guo An-Yuan Department of Thoracic Surgery West China Biomedical Big Data Center West China Hospital Sichuan University Chengdu Sichuan China Hubei Bioinformatics & Molecular Imaging Key Laboratory College of Life Science and Technology Huazhong University of Science and Technology Wuhan Hubei China

Tumor bioinformatics plays an important role in cancer research and precision medicine. The primary focus of traditional cancer research has been molecular and clinical studies of a number of fundamental pathways and genes. In recent years, driven by breakthroughs in high-throughput technologies, large-scale cancer omics data have accumulated rapidly. How to effectively utilize and share these data is particularly important. To address this crucial task, many computational tools and databases have been developed over the past few years. To help researchers quickly learn and understand the functions of these tools, in this review, we summarize publicly available bioinformatics tools and resources for pan-cancer multi-omics analysis, regulatory analysis of tumorigenesis, tumor treatment and prognosis, immune infiltration analysis, immune repertoire analysis, cancer driver gene and driver mutation analysis, and cancer single-cell analysis, which may further help researchers find more suitable tools for their research.

关键词： Tumor bioinformatics Cancer research Tools Databases