检索结果-内蒙古大学图书馆

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： I-Wen Huang Yu-Ci Jheng I-Chun Chen Li-Wei Ko Institute of Biomedical Engineering National Yang Ming Chiao Tung University Hsinchu Taiwan Institute of Electrical and Control Engineering National Yang Ming Chiao Tung University Hsinchu Taiwan International Program in Interdisciplinary Neuroscience College of Biological Science and Technology National Yang Ming Chiao Tung University Hsinchu Taiwan Department of Physical Medicine and Rehabilitation Ton-Yen General Hospital Hsinchu Taiwan Drug Development and Value Creation Research Center Kaohsiung Medical University Kaohsiung Taiwan

ISBN: (数字)9798350371499

ISBN: (纸本)9798350371505

Attention deficit hyperactivity disorder (ADHD) is the most common condition affecting the development of neurons in children. Therefore, early and accurate diagnosis of ADHD in young children is of paramount importance. In this study, the 8-channel wireless wearable EEG measurement device was employed to record EEG data from 30 children diagnosed with ADHD and 30 typical development (TD) young children aged 4-7 years. The data was collected both during rest and while the children performed a Kiddie Continuous Performance Test (K-CPT). We extract relative power spectral density (PSD) unaffected by factors like skull resistance and thickness. Additionally, a range of complex entropy values based on the time domain were extracted. These included sample entropy (SaEn), permutation entropy (PeEn), singular value decomposition entropy (SvdEn), and fuzzy entropy (FuEn). We compare the performance of k-Nearest Neighbors (kNN), Support Vector Machine (SVM), and XGBoost, and utilized the sequential forward selection (SFS) feature selection method in the wrapper approach. Through this process, the study identified the most effective EEG data segments and feature subsets. The findings indicated that using a combination of resting and K-CPT EEG data yielded greater discriminability. Notably, the study found that extracting beta power from the right occipital lobe along with fuzzy entropy from the parietal lobe resulted in optimal accuracy of 90% in distinguishing between children with ADHD and TD children. These outcomes highlight the potential of relative PSD and complexity metrics to support the clinical diagnosis of early ADHD. Furthermore, these metrics may contain unique neurobiomarkers that could be valuable for devising early intervention strategies.

关键词： Support vector machines Performance evaluation Pediatrics Accuracy Aging Feature extraction Entropy Electroencephalography Complexity theory Time-domain analysis

来源：评论

学校读者我要写书评

暂无评论

Demonstration of a CAFQA-bootstrapped Variational Quantum Eigensolver on a trapped-ion quantum computer

arXiv

引用

arXiv 2024年

作者： Wang, Qingfeng Zhukas, Liudmila Miao, Qiang Dalvi, Aniket S. Love, Peter J. Monroe, Christopher Chong, Frederic T. Ravi, Gokul Subramanian Duke Quantum Center Departments of Electrical and Computer Engineering and Physics Duke University Durham United States Chemical Physics Program Institute for Physical Science and Technology University of Maryland College ParkMD United States Duke Quantum Center Duke University Durham United States Department of Electrical and Computer Engineering Duke University Durham United States Department of Physics and Astronomy Tufts University Medford United States Department of Computer Science University of Chicago Chicago United States Department of Computer Science and Engineering University of Michigan Ann Arbor United States

To enhance the variational quantum eigensolver (VQE), the CAFQA method can utilize classical computational capabilities to identify a better initial state than the Hartree-Fock method. Previous research has demonstrated that the initial state provided by CAFQA recovers more correlation energy than that of the Hartree-Fock method and results in faster convergence. In the present study, we advance the investigation of CAFQA by demonstrating its advantages on a high-fidelity trapped-ion quantum computer located at the Duke Quantum Center—this is the first experimental demonstration of CAFQA-bootstrapped VQE on a TI device and on any academic quantum device. In our VQE experiment, we use LiH and BeH2 as test cases to show that CAFQA achieves faster convergence and obtains lower energy values within the specified computational budget limits. To ensure the seamless execution of VQE on this academic device, we develop a novel hardware-software interface framework that supports independent software environments for both the circuit and hardware end. This mechanism facilitates the automation of VQE-type job executions as well as mitigates the impact of random hardware interruptions. This framework is versatile and can be applied to a variety of academic quantum devices beyond the trapped-ion quantum computer platform, with support for integration with customized packages. © 2024, CC BY.

关键词： Quantum computers

来源：评论

学校读者我要写书评

暂无评论

RIXS spectra of spinon, doublon, and quarton excitations of a spin-1/2 antiferromagnetic Heisenberg trimer chain

arXiv

引用

arXiv 2024年

作者： Li, Junli Cheng, Jun-Qing Datta, Trinanjan Yao, Dao-Xin State Key Laboratory of Optoelectronic Materials and Technologies Guangdong Provincial Key Laboratory of Magnetoelectric Physics and Devices Center for Neutron Science and Technology School of Physics Sun Yat-Sen University Guangzhou510275 China School of Physical Sciences Great Bay University Dongguan523000 China Great Bay Institute for Advanced Study Dongguan523000 China Department of Physics and Biophysics Augusta University 1120 15th Street AugustaGA30912 United States Kavli Institute for Theoretical Physics University of California Santa BarbaraCA93106 United States

We investigate the excitation spectra of a spin-1/2 antiferromagnetic Heisenberg trimer spin chain by employing a combination of numerical and theoretical techniques. Utilizing the Krylov-space correction-vector method in density matrix renormalization group (DMRG), we calculate both the direct and indirect resonant inelastic x-ray scattering (RIXS) spectra for the trimer spin chain. To interpret the observed features in the RIXS spectra, we perform a theoretical perturbative analysis to compute the energy dispersions which are then utilized to determine the density of states (DOS) for both the single-particle and the two-particle excitation spectra. Our results show that the single-particle continua of the direct RIXS spectrum align with the energy levels observed in the DOS spectra of spinon, doublon, and quarton excitations. Furthermore, the two-particle continua are revealed in the indirect RIXS process, where all possible single particle excitations combine to form the various two-particle excitations of the trimer spin chain. Based on our calculations, we propose the RIXS mechanism of generating the fractionalized (spinon) and collective (doublon and quarton) excitations in the trimer spin chain at both the L-edge and the K-edge, including discussing the interplay of these excitations in the RIXS spectrum for various trimer coupling strength. The computed energy range of the excitations suggest the possibility of experimental detection at both the L-edge and the K-edge within the current capabilities of RIXS instrumentation resolution. © 2024, CC BY.

关键词： X ray scattering

来源：评论

学校读者我要写书评

暂无评论

Measurement of Water Diffusion Coefficient in Cross-Linked Gelatins Using the Terahertz Time-Domain Spectroscopy Technique

Measurement of Water Diffusion Coefficient in Cross-Linked G...

引用

Conference on Lasers and Electro-Optics (CLEO)

作者： D. Walden D. Chakraborty J. Cheng A. Straksys A. Stirke W. CMA Melo A. Jukna I. Komissarov Roman Sobolewski Department of Physics and Astronomy University of Rochester Rochester New York USA Laboratory for Laser Energetics University of Rochester Rochester New York USA Materials Science Graduate Program University of Rochester Rochester New York USA State Research Institute Center for Physical Sciences & Technology Vilnius Lithuania Department of Physics Vilnius Gediminas Technical University Vilnius Lithuania Department of Electrical and Computer Engineering University of Rochester Rochester New York USA

A novel method has been developed to evaluate the water diffusion dynamics in gelatin-based gels, based on transient terahertz time-domain spectroscopy measurements. Such gels are widely used models for human skin.

ISBN: (纸本)9798350369311

关键词： Spectroscopy Measurement by laser beam Lasers and electrooptics Laser modes Skin Time-domain analysis Transient analysis Electro-optical waveguides

来源：评论

学校读者我要写书评

暂无评论

Decoding the Structure-Activity Relationship of the Dopamine D3 Receptor-Selective Ligands Using Machine and Deep Learning Approaches

引用

Journal of chemical information and modeling 2025年第11期65卷 2025 May 29页

作者： Sung Joon Won Benjoe Rey B Visayas Kuo Hao Lee Rey Y Capangpangan Lei Shi Computational Chemistry and Molecular Biophysics Section Molecular Targets and Medications Discovery Branch National Institute on Drug Abuse-Intramural Research Program National Institutes of Health Baltimore Maryland 21224 United States. Carle Illinois College of Medicine University of Illinois Urbana-Champaign Urbana Illinois 61801 United States. Research on Environment and Nanotechnology Laboratories Mindanao State University at Naawan Naawan 9023 Misamis Oriental Philippines. Department of Science and Technology Philippine Council for Industry Energy and Emerging Technology Research and Development Taguig City 1630-1649 Philippines. College of Marine and Allied Sciences Mindanao State University at Naawan Naawan 9023 Misamis Oriental Philippines.

Dysfunctions of the dopamine D2 and D3 receptors (D2 and D3) are implicated in neuropsychiatric conditions such as Parkinson's disease, schizophrenia, and substance use disorders (SUDs). Evidence indicates that D3-selective ligands can effectively modulate reward pathways, offering potential in treating SUDs with reduced side effects. However, the high homology between D2 and D3 presents challenges in developing subtype-selective ligands, crucial for elucidating receptor-specific functions and developing targeted therapeutics. Here, to facilitate selective ligand discovery, we leveraged ligand-based quantitative structure-activity relationship (QSAR) modeling approaches to predict binding affinity at D2 and D3, as well as ligand selectivity for D3. We first queried training data from the ChEMBL database and performed a systematic curation process to enhance the data quality. We then developed QSAR models using eXtreme Gradient Boosting, random forest, and deep neural network (DNN) algorithms, with DNN benefiting from a novel hyperparameter optimization protocol. All models exhibited strong predictive performance, with DNN-based models slightly but consistently outperforming the tree-based models. Integrating predictions from all algorithms into a consensus metric further improved the accuracy and robustness. Notably, our selectivity models outperformed the affinity models, likely due to noise cancellation achieved by subtracting the binding affinities of the two receptors. The Shapley Additive explanations analysis revealed key pharmacophoric and physicochemical features critical for receptor affinity and selectivity, while molecular docking of representative D3-selective compounds highlighted the structural basis of D3 selectivity. These findings provide a robust framework for modeling QSARs at D2 and D3, advancing the rational design of targeted therapeutics for these receptors.

关键词： Neurodegenerative diseases

来源：评论

学校读者我要写书评

暂无评论

Correction: Materials laboratories of the future for alloys, amorphous, and composite materials (MRS Bulletin, (2025), 50, 2, (190-207), 10.1557/s43577-024-00846-y)

引用

MRS Bulletin 2025年 1-2页

作者： Banerjee, Sarbajit Meng, Y. Shirley Minor, Andrew M. Zhang, Minghao Zaluzec, Nestor J. Chan, Maria K.Y. Seidler, Gerald McComb, David W. Agar, Joshua Mukherjee, Partha P. Melot, Brent Chapman, Karena Guiton, Beth S. Klie, Robert F. McCue, Ian D. Voyles, Paul M. Robertson, Ian Li, Ling Chi, Miaofang Destino, Joel F. Devaraj, Arun Marquis, Emmanuelle A. Segre, Carlo U. Liu, Huinan H. Yang, Judith C. Momeni, Kasra Misra, Amit Abdolrahim, Niaz Medvedeva, Julia E. Cai, Wenjun Sehirlioglu, Alp Dizbay-Onat, Melike Mehta, Apurva Graham-Brady, Lori Maruyama, Benji Rajan, Krishna Warner, Jamie H. Taheri, Mitra L. Kalinin, Sergei V. Reeja-Jayan, B. Schwarz, Udo D. Simon, Sindee L. Brown, Craig M. Department of Chemistry and Department of Materials Science & Engineering Texas A & M University College Station United States Pritzker School of Molecular Engineering The University of Chicago Chicago United States Department of Materials Science & Engineering University of California Berkeley Berkeley United States National Center for Electron Microscopy Molecular Foundry Lawrence Berkeley National Laboratory Berkeley United States Center for Nanoscale Materials Argonne National Laboratory Lemont United States Department of Physics University of Washington Seattle United States Department of Materials Science & Engineering The Ohio State University Columbus United States Department of Mechanical Engineering and Mechanics Drexel University Philadelphia United States School of Mechanical Engineering Purdue University West Lafayette United States Department of Chemistry University of Southern California Los Angeles United States Department of Chemistry Stony Brook University The State University of New York Stony Brook United States Department of Chemistry University of Kentucky Lexington United States Department of Physics University of Illinois at Chicago Chicago United States Department of Materials Science & Engineering Northwestern University Evanston Bangladesh Department of Materials Science & Engineering University of Wisconsin–Madison Madison United States Department of Materials Science and Engineering University of Pennsylvania Philadelphia United States Department of Mechanical Engineering and Materials Science Duke University Durham United States Department of Chemistry Creighton University Omaha United States Physical and Computational Sciences Directorate Pacific Northwest National Laboratory Richland United States Department of Materials Science & Engineering University of Michigan–Ann Arbor Ann Arbor United States Department of Physics Illinois Institute of Technology Chicago United States Department of Bioengineering and the Mater

This article was updated to correct Minghao Zhang’s affiliation from "Pritzker School of Molecular Engineering, The University of Chicago, Chicago, USA" to "Pritzker School of Molecular Engineering, The University of Chicago, Chicago, USA;Argonne National Laboratory, Lemont, USA." Argonne National Laboratory was left off the original publication. © The Author(s) 2025.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Entanglement dynamics of coupled quantum oscillators in independent nonMarkovian baths

arXiv

引用

arXiv 2022年

作者： Hsiang, Jen-Tsung Arısoy, Onat Hu, Bei-Lok Center for High Energy and High Field Physics National Central University Taoyuan320317 Taiwan Chemical Physics Program Institute for Physical Science and Technology University of Maryland College ParkMD20742 United States Maryland Center for Fundamental Physics Joint Quantum Institute University of Maryland College ParkMD20742 United States

This work strives to better understand how the entanglement in an open quantum system, here represented by two coupled Brownian oscillators, is affected by a nonMarkovian environment (with memories), here represented by two independent baths each oscillator separately interacts with. We consider two settings, a ‘symmetric’ configuration wherein the parameters of both oscillators and their baths are identical, and an ‘asymmetric’ configuration wherein they are different, in particular, a ‘hybrid’ configuration, where one of the two coupled oscillators interacts with a nonMarkovian bath and the other with a Markovian bath. Upon finding the solutions to the Langevin equations governing the system dynamics and the evolution of the covariance matrix elements entering into its entanglement dynamics, we ask two groups of questions: Q1) Which time regime does the bath’s nonMarkovianity benefit the system’s entanglement most? The answers we get from detailed numerical studies suggest that A1) For an initially entangled pair of oscillators, we see that in the intermediate time range, the duration of entanglement is proportional to the memory time, and it lasts a fraction of the relaxation time, but at late times when the dynamics reaches a steady state, the value of the symplectic eigenvalue of the partially transposed covariance matrix barely benefit from the bath nonMarkovianity. For the second group of questions: Q2) Can the memory of one nonMarkovian bath be passed on to another Markovian bath? And if so, does this memory transfer help to sustain the system’s entanglement dynamics? Our results from numerical studies of the asymmetric hybrid configuration indicate that A2) A system with a short memory time can acquire improvement when it is coupled to another system with a long memory time, but, at a cost of the latter. The sustainability of the bipartite entanglement is determined by the party which breaks off entanglement most easily. Copyright © 2022, The Authors. All r

关键词： Covariance matrix

来源：评论

学校读者我要写书评

暂无评论

Hot entanglement? - Parametrically coupled quantum oscillators in two heat baths: instability, squeezing and driving

arXiv

引用

arXiv 2022年

作者： Arısoy, Onat Hsiang, Jen-Tsung Hu, Bei-Lok Chemical Physics Program Institute for Physical Science and Technology University of Maryland College ParkMD20742 United States Center for High Energy and High Field Physics National Central University Taoyuan320317 Taiwan Maryland Center for Fundamental Physics Joint Quantum Institute University of Maryland College ParkMD20742 United States

Entanglement being a foundational cornerstone of quantum sciences and the primary resource in quantum information processing, understanding its dynamical evolution in realistic conditions is essential. Unfortunately, numerous model studies show that degradation of entanglement from a quantum system’s environment, especially thermal noise, is almost unavoidable. Thus the appellation ‘hot entanglement’ appears like a contradiction, until Galve et al [Phys. Rev. Lett. 105 180501 (2010)] announced that entanglement can be kept at high temperatures if one considers a quantum system with time-dependent coupling between the two parties, each interacting with its individual bath. With the goal of understanding the sustenance of entanglement at high temperatures, working with the same model and set up as Galve et al, namely, parametrically-driven coupled harmonic oscillators interacting with their own Markovian baths, this work probes into the feasibility of ‘hot entanglement’ from three aspects listed in the subtitle. Our findings show that 1) hot entanglement functions only in the unstable regimes, 2) instability is a necessary but not sufficient condition, and 3) the power intake required by the drive operating in the unstable regime to sustain entanglement increases exponentially. The last factor indicates that hot entanglement under this modeling is theoretically untenable and its actual implementation likely unattainable. Copyright © 2022, The Authors. All rights reserved.

关键词： Quantum optics

来源：评论

学校读者我要写书评

暂无评论

Effects of C-Ring Structures on Binding Behavior of Flavonoids with Β-Lactoglobulin as Revealed by Experimental and Modeling Approaches

SSRN

引用

SSRN 2022年

作者： Zhu, Debao Zhang, Linlin Peng, Bangzhu Hu, Hao Euston, Stephen R. Zhang, Zhuo Wuhan430070 China Wuhan430070 China College of Food Science & Technology Huazhong Agricultural University Wuhan430070 China Institute of Biological Chemistry Biophysics and Bioengineering School of Engineering & Physical Sciences Heriot-Watt University EdinburghEH14 4AS United Kingdom Department of Physics Toronto Metropolitan University TorontoON Canada

The present study investigated covalent binding behavior of catechin, eriodictyol, luteolin and quercetin with β-lactoglobulin (βlg). Experimental methods including SDS-PAGE, DLS and CD spectra revealed that βlg barely aggregated after binding with quercetin at room temperature, while binding with the other three flavonoids resulted in aggregations of βlg. Binding sites on βlg were identified through proteomics and LC-MS/MS. Lysine, tryptophan and cysteine exhibited high propensity to bind with flavonoids. Catechin exhibited the highest binding with βlg while eriodictyol had the lowest and showed no tendency to bind with tryptophan. According to calculation results, the A-ring of flavonoids exhibited higher reactivity than the B-ring after deprotonation, while the latter was more inclined to deprotonate, except for eriodictyol. Behavior of flavonoid semiquinones influenced the protein unfolding as revealed by MD simulations. Aggregations of semiquinones, especially those of quercetin, protected βlg from unfolding. The modeling work provided explanations and supplements for experimental approaches. © 2022, The Authors. All rights reserved.

关键词： Molecular dynamics

来源：评论

学校读者我要写书评

暂无评论

SurgeonAssist-Net: Towards Context-Aware Head-Mounted Display-Based Augmented Reality for Surgical Guidance

arXiv

引用

arXiv 2021年

作者： Doughty, Mitchell Singh, Karan Ghugre, Nilesh R. Department of Medical Biophysics University of Toronto Toronto Canada Schulich Heart Program Sunnybrook Health Sciences Centre Toronto Canada Department of Computer Science University of Toronto Toronto Canada Physical Sciences Platform Sunnybrook Research Institute Toronto Canada

We present SurgeonAssist-Net: a lightweight framework making action-and-workflow-driven virtual assistance, for a set of predefined surgical tasks, accessible to commercially available optical see-through head-mounted displays (OST-HMDs). On a widely used benchmark dataset for laparoscopic surgical workflow, our implementation competes with state-of-the-art approaches in prediction accuracy for automated task recognition, and yet requires 7.4× fewer parameters, 10.2× fewer floating point operations per second (FLOPS), is 7.0× faster for inference on a CPU, and is capable of near real-time performance on the Microsoft HoloLens 2 OST-HMD. To achieve this, we make use of an efficient convolutional neural network (CNN) backbone to extract discriminative features from image data, and a low-parameter recurrent neural network (RNN) architecture to learn long-term temporal dependencies. To demonstrate the feasibility of our approach for inference on the HoloLens 2 we created a sample dataset that included video of several surgical tasks recorded from a user-centric point-of-view. After training, we deployed our model and cataloged its performance in an online simulated surgical scenario for the prediction of the current surgical task. The utility of our approach is explored in the discussion of several relevant clinical use-cases. Our code is publicly available at https://***/doughtmw/surgeon-assist-net. Copyright © 2021, The Authors. All rights reserved.

关键词： Augmented reality

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：