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Article ; Online: Light-induced electronic polarization in antiferromagnetic Cr

Zhang, Xinshu / Carbin, Tyler / Culver, Adrian B / Du, Kai / Wang, Kefeng / Cheong, Sang-Wook / Roy, Rahul / Kogar, Anshul

Nature materials

2024

Abstract: In a solid, the electronic subsystem can exhibit incipient order with lower point group symmetry than the crystal lattice. Ultrafast external fields that couple exclusively to electronic order parameters have rarely been investigated, however, despite ... ...

Abstract	In a solid, the electronic subsystem can exhibit incipient order with lower point group symmetry than the crystal lattice. Ultrafast external fields that couple exclusively to electronic order parameters have rarely been investigated, however, despite their potential importance in inducing exotic effects. Here we show that when inversion symmetry is broken by the antiferromagnetic order in Cr
Language	English
Publishing date	2024-04-01
Publishing country	England
Document type	Journal Article
ZDB-ID	2088679-2
ISSN	1476-4660 ; 1476-1122
ISSN (online)	1476-4660
ISSN	1476-1122
DOI	10.1038/s41563-024-01852-w
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Single Lead ECG-based Ventricular Repolarization Classification for Early Identification of Unexpected Ventricular Fibrillation

Lai, Dakun / Zhang, Yifei / Zhang, Xinshu

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

2020 Volume 2020, Page(s) 5567–5570

Abstract: Malignant ventricular arrhythmia (especially ventricular fibrillation (VF)) is the main reason which causes sudden cardiac death (SCD). This paper presents an automatic SCD-patient classifier we developed to identify patients with unexpected VF using 60- ... ...

Abstract	Malignant ventricular arrhythmia (especially ventricular fibrillation (VF)) is the main reason which causes sudden cardiac death (SCD). This paper presents an automatic SCD-patient classifier we developed to identify patients with unexpected VF using 60-minutes continuous single-lead electrocardiograms (ECG) signals before that. Patients are classified as having SCD if the majority of their recorded ventricular repolarization (VR) is recognized as characteristic of unexpected VF. Thus, the classifier's underlying task is to recognize individual VR delineated from single-lead ECG signals as SCD VR, where VR from non-SCD patients are used as controls. With the reported clinical practices of SCD, we extracted five morphological and temporal features (both commonly used and newly developed ones) from ECG signals for VR classification. To evaluate classification performance, we trained and tested k nearest neighbor classifier, a decision tree classifier, and a Naïve Bayes classifier using five-fold cross validation on 36 one-hour ECG signals (18 from patients at risk of SCD and 18 from control people). We compared the performance of these three classifiers, and the patient-classification sensitivity is approximately 98.02-99.51%. Moreover, the k nearest neighbor with a higher accuracy (98.89%) and specificity (98.27%) performed better than the other two. Importantly, the results show obvious superiorities of performance over that in the same duration and of usefulness over several minutes given by related works.Clinical Relevance- This could be integrated into a real-time, long-term out-of-hospital SCD predictor to improve the warning veracity and bring forward the warning time, especially for patients with implantable cardiac defibrillators or pacemakers, etc..
MeSH term(s)	Arrhythmias, Cardiac ; Bayes Theorem ; Death, Sudden, Cardiac/prevention & control ; Electrocardiography ; Humans ; Ventricular Fibrillation/diagnosis
Language	English
Publishing date	2020-10-05
Publishing country	United States
Document type	Journal Article
ISSN	2694-0604
ISSN (online)	2694-0604
DOI	10.1109/EMBC44109.2020.9176355
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Article: Interoceptive regulation of skeletal tissue homeostasis and repair.

Xiao, Yao / Han, Changhao / Wang, Yunhao / Zhang, Xinshu / Bao, Rong / Li, Yuange / Chen, Huajiang / Hu, Bo / Liu, Shen

Bone research

2023 Volume 11, Issue 1, Page(s) 48

Abstract: Recent studies have determined that the nervous system can sense and respond to signals from skeletal tissue, a process known as skeletal interoception, which is crucial for maintaining bone homeostasis. The hypothalamus, located in the central nervous ... ...

Abstract	Recent studies have determined that the nervous system can sense and respond to signals from skeletal tissue, a process known as skeletal interoception, which is crucial for maintaining bone homeostasis. The hypothalamus, located in the central nervous system (CNS), plays a key role in processing interoceptive signals and regulating bone homeostasis through the autonomic nervous system, neuropeptide release, and neuroendocrine mechanisms. These mechanisms control the differentiation of mesenchymal stem cells into osteoblasts (OBs), the activation of osteoclasts (OCs), and the functional activities of bone cells. Sensory nerves extensively innervate skeletal tissues, facilitating the transmission of interoceptive signals to the CNS. This review provides a comprehensive overview of current research on the generation and coordination of skeletal interoceptive signals by the CNS to maintain bone homeostasis and their potential role in pathological conditions. The findings expand our understanding of intersystem communication in bone biology and may have implications for developing novel therapeutic strategies for bone diseases.
MeSH term(s)	Humans ; Homeostasis ; Central Nervous System ; Afferent Pathways ; Autonomic Nervous System ; Bone Diseases
Language	English
Publishing date	2023-09-05
Publishing country	China
Document type	Journal Article ; Review ; Research Support, Non-U.S. Gov't
ZDB-ID	2803313-9
ISSN	2095-6231 ; 2095-4700
ISSN (online)	2095-6231
ISSN	2095-4700
DOI	10.1038/s41413-023-00285-6
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Article ; Online: Diamond-Like Carbon Depositing on the Surface of Polylactide Membrane for Prevention of Adhesion Formation During Tendon Repair.

Xiao, Yao / Tao, Zaijin / Ju, Yufeng / Huang, Xiaolu / Zhang, Xinshu / Liu, Xiaonan / Volotovski, Pavel A / Huang, Chao / Chen, Hongqi / Zhang, Yaozhong / Liu, Shen

Nano-micro letters

2024 Volume 16, Issue 1, Page(s) 186

Abstract: Post-traumatic peritendinous adhesion presents a significant challenge in clinical medicine. This study proposes the use of diamond-like carbon (DLC) deposited on polylactic acid (PLA) membranes as a biophysical mechanism for anti-adhesion barrier to ... ...

Abstract	Post-traumatic peritendinous adhesion presents a significant challenge in clinical medicine. This study proposes the use of diamond-like carbon (DLC) deposited on polylactic acid (PLA) membranes as a biophysical mechanism for anti-adhesion barrier to encase ruptured tendons in tendon-injured rats. The results indicate that PLA/DLC composite membrane exhibits more efficient anti-adhesion effect than PLA membrane, with histological score decreasing from 3.12 ± 0.27 to 2.20 ± 0.22 and anti-adhesion effectiveness increasing from 21.61% to 44.72%. Mechanistically, the abundant C=O bond functional groups on the surface of DLC can reduce reactive oxygen species level effectively; thus, the phosphorylation of NF-κB and M1 polarization of macrophages are inhibited. Consequently, excessive inflammatory response augmented by M1 macrophage-originated cytokines including interleukin-6 (IL-6), interleukin-1β (IL-1β), and tumor necrosis factor-α (TNF-α) is largely reduced. For biocompatibility evaluation, PLA/DLC membrane is slowly absorbed within tissue and displays prolonged barrier effects compared to traditional PLA membranes. Further studies show the DLC depositing decelerates the release of degradation product lactic acid and its induction of macrophage M2 polarization by interfering esterase and PLA ester bonds, which further delays the fibrosis process. It was found that the PLA/DLC membrane possess an efficient biophysical mechanism for treatment of peritendinous adhesion.
Language	English
Publishing date	2024-04-30
Publishing country	Germany
Document type	Journal Article
ZDB-ID	2642093-4
ISSN	2150-5551 ; 2150-5551
ISSN (online)	2150-5551
ISSN	2150-5551
DOI	10.1007/s40820-024-01392-7
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Article ; Online: A magnetic continuum in the cobalt-based honeycomb magnet BaCo

Zhang, Xinshu / Xu, Yuanyuan / Halloran, T / Zhong, Ruidan / Broholm, C / Cava, R J / Drichko, N / Armitage, N P

Nature materials

2022

Abstract: Quantum spin liquids (QSLs) are topologically ordered states of matter that host fractionalized excitations. A particular route towards a QSL is via strongly bond-dependent interactions on the hexagonal lattice. A number of Ru- and Ir-based candidate ... ...

Abstract	Quantum spin liquids (QSLs) are topologically ordered states of matter that host fractionalized excitations. A particular route towards a QSL is via strongly bond-dependent interactions on the hexagonal lattice. A number of Ru- and Ir-based candidate Kitaev QSL materials have been pursued, but all have appreciable non-Kitaev interactions. Using time-domain terahertz spectroscopy, we observed a broad magnetic continuum over a wide range of temperatures and fields in the honeycomb cobalt-based magnet BaCo
Language	English
Publishing date	2022-11-21
Publishing country	England
Document type	Journal Article
ZDB-ID	2088679-2
ISSN	1476-4660 ; 1476-1122
ISSN (online)	1476-4660
ISSN	1476-1122
DOI	10.1038/s41563-022-01403-1
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Article ; Online: Convolutional Neural Network Based Detection of Atrial Fibrillation Combing R-R intervals and F-wave Frequency Spectrum

Lai, Dakun / Zhang, Xinshu / Zhang, Yifei / Bin Heyat, Md Belal

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

2019 Volume 2019, Page(s) 4897–4900

Abstract: Atrial Fibrillation (AF) is one of the arrhythmias that is common and serious in clinic. In this study, a novel method of AF classification with a convolutional neural network (CNN) was proposed, and particularly two cardiac rhythm features of R-R ... ...

Abstract	Atrial Fibrillation (AF) is one of the arrhythmias that is common and serious in clinic. In this study, a novel method of AF classification with a convolutional neural network (CNN) was proposed, and particularly two cardiac rhythm features of R-R intervals and F-wave frequency spectrum were combined into the CNN for a good applicability of mobile application. Over 23 patients' ten-hours of Electrocardiogram (ECG) records were collected from the MIT-BIH database, and each of which was segmented into 10s-data fragments to train the designed CNN and evaluate the performance of the proposed method. Specifically, a total of 83,461 fragments were collected, 49,952 fragments of which are the normal fragments (type-N) and the others are the AF fragments. As results, the obtained average accuracy of the proposed method combining the two proposed features is 97.3%, which is shown a relative higher accuracy comparing with either that of the detection with the feature of R-R intervals (95.7%) or that with the feature of F-wave frequency spectrum (93.9%). Additionally, the sensitivity and the specificity of the present method are both of a high level of 97.4% and 97.2%, respectively. In conclusion, the CNN based approach by combining the R-R interval series and the F-wave frequency spectrum would be effectively to improve the performance of AF detection. Moreover, the proposed classification of AF with 10s-data fragments also could be potentially useful for a wearable real-time monitoring application for a pre-hospital screening of AF.
MeSH term(s)	Algorithms ; Atrial Fibrillation/diagnosis ; Electrocardiography ; Humans ; Neural Networks, Computer ; Sensitivity and Specificity
Language	English
Publishing date	2019-12-30
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ISSN	2694-0604
ISSN (online)	2694-0604
DOI	10.1109/EMBC.2019.8856342
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Article ; Online: Non-Standardized Patch-Based ECG Lead Together With Deep Learning Based Algorithm for Automatic Screening of Atrial Fibrillation.

Lai, Dakun / Bu, Yuxiang / Su, Ye / Zhang, Xinshu / Ma, Chang-Sheng

IEEE journal of biomedical and health informatics

2020 Volume 24, Issue 6, Page(s) 1569–1578

Abstract: This study was to assess the feasibility of using non-standardized single-lead electrocardiogram (ECG) monitoring to automatically detect atrial fibrillation (AF) with special emphasis on the combination of deep learning based algorithm and modified ... ...

Abstract	This study was to assess the feasibility of using non-standardized single-lead electrocardiogram (ECG) monitoring to automatically detect atrial fibrillation (AF) with special emphasis on the combination of deep learning based algorithm and modified patch-based ECG lead. Fifty-five consecutive patients were monitored for AF in around 24 hours by patch-based ECG devices along with a standard 12-lead Holter. Catering to potential positional variability of patch lead, four typical positions on the upper-left chest were proposed. For each patch lead, the performance of automated algorithms with four different convolutional neural networks (CNN) was evaluated for AF detection against blinded annotations of two clinicians. A total of 349,388 10-second segments of AF and 161,084 segments of sinus rhythm were detected successfully. Good agreement between patch-based single-lead and standard 12-lead recordings was obtained at the position MP1 that corresponds to modified lead II, and a promising performance of the automated algorithm with an R-R intervals based CNN model was achieved on this lead in terms of accuracy (93.1%), sensitivity (93.1%), and specificity (93.4%). The present results suggest that the optimized patch-based ECG lead along by deep learning based algorithms may offer the possibility of providing an accurate, easy, and inexpensive clinical tool for mass screening of AF.
MeSH term(s)	Adult ; Aged ; Aged, 80 and over ; Algorithms ; Atrial Fibrillation/diagnosis ; Deep Learning ; Diagnosis, Computer-Assisted/methods ; Electrocardiography/instrumentation ; Electrocardiography/methods ; Equipment Design ; Female ; Humans ; Male ; Middle Aged ; Neural Networks, Computer ; Signal Processing, Computer-Assisted/instrumentation
Language	English
Publishing date	2020-03-13
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2695320-1
ISSN	2168-2208 ; 2168-2194
ISSN (online)	2168-2208
ISSN	2168-2194
DOI	10.1109/JBHI.2020.2980454
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Article ; Online: Evidence for Bootstrap Percolation Dynamics in a Photoinduced Phase Transition.

Carbin, Tyler / Zhang, Xinshu / Culver, Adrian B / Zhao, Hengdi / Zong, Alfred / Acharya, Rishi / Abbamonte, Cecilia J / Roy, Rahul / Cao, Gang / Kogar, Anshul

Physical review letters

2023 Volume 130, Issue 18, Page(s) 186902

Abstract: Upon intense femtosecond photoexcitation, a many-body system can undergo a phase transition through a nonequilibrium route, but understanding these pathways remains an outstanding challenge. Here, we use time-resolved second harmonic generation to ... ...

Abstract	Upon intense femtosecond photoexcitation, a many-body system can undergo a phase transition through a nonequilibrium route, but understanding these pathways remains an outstanding challenge. Here, we use time-resolved second harmonic generation to investigate a photoinduced phase transition in Ca_{3}Ru_{2}O_{7} and show that mesoscale inhomogeneity profoundly influences the transition dynamics. We observe a marked slowing down of the characteristic time τ that quantifies the transition between two structures. τ evolves nonmonotonically as a function of photoexcitation fluence, rising from below 200 fs to ∼1.4 ps, then falling again to below 200 fs. To account for the observed behavior, we perform a bootstrap percolation simulation that demonstrates how local structural interactions govern the transition kinetics. Our work highlights the importance of percolating mesoscale inhomogeneity in the dynamics of photoinduced phase transitions and provides a model that may be useful for understanding such transitions more broadly.
Language	English
Publishing date	2023-05-19
Publishing country	United States
Document type	Journal Article
ZDB-ID	208853-8
ISSN	1079-7114 ; 0031-9007
ISSN (online)	1079-7114
ISSN	0031-9007
DOI	10.1103/PhysRevLett.130.186902
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Article: On two-dimensional moonpool resonance for twin bodies in a two-layer fluid

Zhang, Xinshu / Bandyk, Piotr

Applied ocean research. 2013 Mar., v. 40

2013

Abstract: This paper studies the moonpool resonance of two heaving rectangular bodies in a two-layer fluid. A mathematical model is proposed based on an eigenfunction matching approach. The motion of the two-dimensional bodies is assumed to be vertical and ... ...

Abstract	This paper studies the moonpool resonance of two heaving rectangular bodies in a two-layer fluid. A mathematical model is proposed based on an eigenfunction matching approach. The motion of the two-dimensional bodies is assumed to be vertical and harmonic. Heave added mass and damping coefficients are computed to examine the hydrodynamic behavior of the twin bodies. The free surface and internal wave elevations are obtained near the resonant frequencies. The presented results and analyses reveal that there exist both Helmholtz and higher-order resonances in the two-layer fluid system, which is similar to the single-layer fluid case. It is also found that the resonances are closely associated with the free surface elevation inside moonpool gap, not the wave elevation at the interfacial surface. In addition, parametric studies have been performed to identify the dependencies of hydrodynamic behavior on geometry and density stratification.
Keywords	equations ; hydrodynamics ; mathematical models ; seawater ; water waves
Language	English
Dates of publication	2013-03
Size	p. 1-13.
Publishing place	Elsevier Ltd
Document type	Article
ISSN	0141-1187
DOI	10.1016/j.apor.2012.11.004
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Evaluation of the Stiffness of Tissues Surrounding Thyroid Nodules with Shear Wave Elastography.

Hu, Lei / He, Nianan / Ye, Lei / Zhou, Hangcheng / Zhong, Wen / Zhang, Xinshu

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine

2018 Volume 37, Issue 9, Page(s) 2251–2261

Abstract: Objectives: This study evaluated the stiffness of tissue surrounding thyroid nodules using shear wave elastography (SWE).: Methods: A total of 128 thyroid nodules in 108 patients were examined with conventional ultrasound imaging and SWE. The maximum ...

Abstract	Objectives: This study evaluated the stiffness of tissue surrounding thyroid nodules using shear wave elastography (SWE). Methods: A total of 128 thyroid nodules in 108 patients were examined with conventional ultrasound imaging and SWE. The maximum Young modulus value was measured to evaluate the stiffness of the thyroid nodules (E) and the 2-mm perinodular region (E Results: The mean age ± SD of the 108 patients was 33.12 ± 13.34 years (range, 18-80 years). Thirty-nine thyroid nodules were classified as benign and 89 as malignant. E Conclusions: Perinodular stiffness has potential to improve diagnosis of thyroid nodules.
MeSH term(s)	Adolescent ; Adult ; Aged ; Aged, 80 and over ; Elasticity Imaging Techniques/methods ; Female ; Humans ; Male ; Middle Aged ; Prospective Studies ; Reproducibility of Results ; Sensitivity and Specificity ; Thyroid Gland/diagnostic imaging ; Thyroid Gland/pathology ; Thyroid Neoplasms/diagnostic imaging ; Thyroid Neoplasms/pathology ; Thyroid Nodule/diagnostic imaging ; Thyroid Nodule/pathology ; Young Adult
Language	English
Publishing date	2018-02-26
Publishing country	England
Document type	Journal Article
ZDB-ID	604829-8
ISSN	1550-9613 ; 0278-4297
ISSN (online)	1550-9613
ISSN	0278-4297
DOI	10.1002/jum.14578
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Zs.A 1793: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (1.OG) ab Jg. 2022: Lesesaal (EG)
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