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Article ; Online: Golgi apparatus-targeting fluorescent probe for the imaging of superoxide anion (O

Chang, Jia / Wang, Yan / Kong, Xiuqi / Dong, Baoli / Yue, Tao

2024 Volume 1298, Page(s) 342410

Abstract: Ferroptosis is an emerging iron-dependent oxidative cell death type, and recently has been demonstrated to show close relation with Golgi apparatus (GA). Exploring the fluctuation of superoxide anion ( ... ...

Abstract	Ferroptosis is an emerging iron-dependent oxidative cell death type, and recently has been demonstrated to show close relation with Golgi apparatus (GA). Exploring the fluctuation of superoxide anion (O
MeSH term(s)	Superoxides ; Fluorescent Dyes/toxicity ; Ferroptosis ; Iron ; Golgi Apparatus/metabolism
Chemical Substances	Superoxides (11062-77-4) ; Fluorescent Dyes ; Iron (E1UOL152H7)
Language	English
Publishing date	2024-02-26
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	1483436-4
ISSN	1873-4324 ; 0003-2670
ISSN (online)	1873-4324
ISSN	0003-2670
DOI	10.1016/j.aca.2024.342410
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Article ; Online: Multi-Task Foreground-Aware Network with Depth Completion for Enhanced RGB-D Fusion Object Detection Based on Transformer.

Pan, Jiasheng / Zhong, Songyi / Yue, Tao / Yin, Yankun / Tang, Yanhao

Sensors (Basel, Switzerland)

2024 Volume 24, Issue 7

Abstract: Fusing multiple sensor perceptions, specifically LiDAR and camera, is a prevalent method for target recognition in autonomous driving systems. Traditional object detection algorithms are limited by the sparse nature of LiDAR point clouds, resulting in ... ...

Abstract	Fusing multiple sensor perceptions, specifically LiDAR and camera, is a prevalent method for target recognition in autonomous driving systems. Traditional object detection algorithms are limited by the sparse nature of LiDAR point clouds, resulting in poor fusion performance, especially for detecting small and distant targets. In this paper, a multi-task parallel neural network based on the Transformer is constructed to simultaneously perform depth completion and object detection. The loss functions are redesigned to reduce environmental noise in depth completion, and a new fusion module is designed to enhance the network's perception of the foreground and background. The network leverages the correlation between RGB pixels for depth completion, completing the LiDAR point cloud and addressing the mismatch between sparse LiDAR features and dense pixel features. Subsequently, we extract depth map features and effectively fuse them with RGB features, fully utilizing the depth feature differences between foreground and background to enhance object detection performance, especially for challenging targets. Compared to the baseline network, improvements of 4.78%, 8.93%, and 15.54% are achieved in the difficult indicators for cars, pedestrians, and cyclists, respectively. Experimental results also demonstrate that the network achieves a speed of 38 fps, validating the efficiency and feasibility of the proposed method.
Language	English
Publishing date	2024-04-08
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s24072374
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Article ; Online: Comprehensive analysis of ICD-related lncRNAs in predicting risk stratification, clinical prognosis and immune response for breast cancer.

Wang, Yuli / Yue, Tao / He, Qingqing

Aging

2023 Volume 15, Issue 17, Page(s) 8833–8850

Abstract: Background: Breast cancer (BRCA) represents a significant threat with high mortality rates due to relapse, metastasis, and chemotherapy resistance. As a regulated cell death process characterized by the induction of immunogenic signals, immunogenic cell ...

Abstract	Background: Breast cancer (BRCA) represents a significant threat with high mortality rates due to relapse, metastasis, and chemotherapy resistance. As a regulated cell death process characterized by the induction of immunogenic signals, immunogenic cell death (ICD) has been identified as an effective anti-tumorigenesis approach. However, the comprehensive study and its clinical value of ICD-related lncRNAs in BRCA is still missing. Methods: The transcriptome matrix and corresponding clinical information of BRCA patients were obtained from The Cancer Genome Atlas (TCGA) database. Pearson correlation analysis was performed to identify ICD-related lncRNAs (ICDRLs). To determine the prognostic value of the identified ICDRLs, univariate Cox regression analysis, LASSO algorithm, and multivariate Cox regression analysis were employed to construct a risk model. The prognostic risk model was subsequently evaluated using univariate and multivariate Cox regression analysis, as well as Nomogram analysis. Results: We established a prognostic risk signature consisting of five ICDRLs. The prognostic value of this model was subsequently confirmed in guiding BRCA prognostic stratification. Furthermore, we explored the correlation of the risk score with various clinical characteristics and chemotherapy response. qRT-PCR result confirmed the abnormal expression of ICDRLs, which was consistent with the bioinformatics data. Conclusions: Our findings provide evidence of the critical role of ICDRLs in BRCA and offer a novel perspective for exploring precise treatment options for BRCA patients.
MeSH term(s)	Humans ; Female ; Breast Neoplasms/genetics ; Immunogenic Cell Death ; RNA, Long Noncoding/genetics ; Neoplasm Recurrence, Local ; Prognosis ; Immunity ; Risk Assessment
Chemical Substances	RNA, Long Noncoding
Language	English
Publishing date	2023-09-09
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ISSN	1945-4589
ISSN (online)	1945-4589
DOI	10.18632/aging.205002
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Article ; Online: Semi-Blindly Enhancing Extremely Noisy Videos With Recurrent Spatio-Temporal Large-Span Network.

Chen, Xin / Hu, Xuemei / Yue, Tao

IEEE transactions on pattern analysis and machine intelligence

2023 Volume 45, Issue 7, Page(s) 8984–9003

Abstract: Capturing videos under the extremely dark environment is quite challenging for the extremely large and complex noise. To accurately represent the complex noise distribution, the physics-based noise modeling and learning-based blind noise modeling methods ...

Abstract	Capturing videos under the extremely dark environment is quite challenging for the extremely large and complex noise. To accurately represent the complex noise distribution, the physics-based noise modeling and learning-based blind noise modeling methods are proposed. However, these methods suffer from either the requirement of complex calibration procedure or performance degradation in practice. In this paper, we propose a semi-blind noise modeling and enhancing method, which incorporates the physics-based noise model with a learning-based Noise Analysis Module (NAM). With NAM, self-calibration of model parameters can be realized, which enables the denoising process to be adaptive to various noise distributions of either different cameras or camera settings. Besides, we develop a recurrent Spatio-Temporal Large-span Network (STLNet), constructed with a Slow-Fast Dual-branch (SFDB) architecture and an Interframe Non-local Correlation Guidance (INCG) mechanism, to fully investigate the spatio-temporal correlation in a large span. The effectiveness and superiority of the proposed method are demonstrated with extensive experiments, both qualitatively and quantitatively.
Language	English
Publishing date	2023-06-05
Publishing country	United States
Document type	Journal Article
ISSN	1939-3539
ISSN (online)	1939-3539
DOI	10.1109/TPAMI.2023.3234026
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Article ; Online: Tracheal injury following robotic thyroidectomy: A literature review of epidemiology, etiology, diagnosis, and treatment and 3 case reports.

Ma, Yunhan / Yue, Tao / He, Qingqing

Asian journal of surgery

2023 Volume 47, Issue 1, Page(s) 83–88

Abstract: Robotic thyroidectomy is one of the most advanced surgical procedures used to manage benign and malignant thyroid nodules. However, complication risks such as tracheal injury still exists. Tracheal injury in robotic thyroidectomy is difficult to detect ... ...

Abstract	Robotic thyroidectomy is one of the most advanced surgical procedures used to manage benign and malignant thyroid nodules. However, complication risks such as tracheal injury still exists. Tracheal injury in robotic thyroidectomy is difficult to detect and is one of the life-threatening complications. This study reviews the current literature on the tracheal injury following robotic thyroidectomy and also discusses our findings on 2060 cases of robotic thyroidectomy via Da Vinci Surgical System performed in our department and finally presents 3 cases treated in our center. PubMed and Web of Science database were searched using Medical Subject Headings (Mesh) related to "tracheal injury" and "robotic thyroidectomy". The search was conducted without publication date limits. We reviewed the literature and summarized common causes, diagnosis and therapeutic options of tracheal injury in robotic thyroidectomy, which has been described in comparison studies or retrospective studies. Tracheal injury is often diagnosed when patients suffer from dyspnea and usually leads to severe postoperative consequences. Tracheal injury can be suspected in all patients having subcutaneous emphysema, pneumomediastinum, pneumothorax or dyspnea after robotic thyroidectomy. Tracheoscopy is necessary to determine the location and size of tracheal injury. In patients whose condition is stable and the injury is contained, conservative treatment is feasible. Certainly, primary closure or tracheotomy is necessary for patients with serious respiratory difficulty or pneumothorax.
MeSH term(s)	Humans ; Thyroidectomy/adverse effects ; Thyroidectomy/methods ; Thyroid Neoplasms/surgery ; Robotic Surgical Procedures/adverse effects ; Robotic Surgical Procedures/methods ; Retrospective Studies ; Pneumothorax/surgery ; Treatment Outcome ; Tracheal Diseases/diagnosis ; Tracheal Diseases/epidemiology ; Tracheal Diseases/etiology ; Dyspnea
Language	English
Publishing date	2023-10-23
Publishing country	Netherlands
Document type	Case Reports ; Journal Article ; Review
ZDB-ID	1068461-x
ISSN	0219-3108 ; 1015-9584
ISSN (online)	0219-3108
ISSN	1015-9584
DOI	10.1016/j.asjsur.2023.10.039
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Book ; Online: Evolve the Model Universe of a System Universe

Yue, Tao / Ali, Shaukat

2023

Abstract: Uncertain, unpredictable, real time, and lifelong evolution causes operational failures in intelligent software systems, leading to significant damages, safety and security hazards, and tragedies. To fully unleash the potential of such systems and ... ...

Abstract	Uncertain, unpredictable, real time, and lifelong evolution causes operational failures in intelligent software systems, leading to significant damages, safety and security hazards, and tragedies. To fully unleash the potential of such systems and facilitate their wider adoption, ensuring the trustworthiness of their decision making under uncertainty is the prime challenge. To overcome this challenge, an intelligent software system and its operating environment should be continuously monitored, tested, and refined during its lifetime operation. Existing technologies, such as digital twins, can enable continuous synchronisation with such systems to reflect their most updated states. Such representations are often in the form of prior knowledge based and machine learning models, together called model universe. In this paper, we present our vision of combining techniques from software engineering, evolutionary computation, and machine learning to support the model universe evolution.
Keywords	Computer Science - Software Engineering
Subject code	006
Publishing date	2023-09-23
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Development of bishydrazide-based fluorescent probes for the imaging of cellular peroxynitrite (ONOO

Li, Shijing / Mehmood, Abdul Hadi / Tang, Xiaochan / Yue, Tao / Dong, Baoli

Analytical methods : advancing methods and applications

2024 Volume 16, Issue 9, Page(s) 1409–1414

Abstract: Peroxynitrite ( ... ...

Abstract	Peroxynitrite (ONOO
MeSH term(s)	Fluorescent Dyes/chemistry ; Peroxynitrous Acid/chemistry ; Peroxynitrous Acid/metabolism ; Ferroptosis ; Optical Imaging ; Xanthenes
Chemical Substances	Fluorescent Dyes ; Peroxynitrous Acid (14691-52-2) ; Xanthenes
Language	English
Publishing date	2024-02-29
Publishing country	England
Document type	Journal Article
ZDB-ID	2515210-5
ISSN	1759-9679 ; 1759-9660
ISSN (online)	1759-9679
ISSN	1759-9660
DOI	10.1039/d4ay00022f
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Article ; Online: Development of a turn-on fluorescent probe for the imaging of intracellular hypochlorous acid (HClO) during ferroptosis.

Wang, Yan / Wang, Ruifei / Zou, Jidong / Xie, Wanru / Chang, Jia / Dong, Baoli / Yue, Tao

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy

2024 Volume 313, Page(s) 124123

Abstract: Ferroptosis is a burgeoning iron-dependent cell death form, and has close relation with hypochlorous acid (HClO). Exploring the fluctuation of the HClO level in living cells during ferroptosis could contribute to the profound study of the biological ... ...

Abstract	Ferroptosis is a burgeoning iron-dependent cell death form, and has close relation with hypochlorous acid (HClO). Exploring the fluctuation of the HClO level in living cells during ferroptosis could contribute to the profound study of the biological functions of HClO during ferroptosis. Here, we present a turn-on probe (RH-C) for the imaging of intracellular HClO during ferroptosis. The probe RH-C utilized the N,N-dimethylthiocarbamate group as a selective recognition site for HClO, and displayed desirable sensitivity and selectivity to HClO. The probe RH-C could detect the exogenous and endogenous HClO in living cells. Furthermore, RH-C was competent in monitoring the changes of endogenous HClO level during the process of ferroptosis. Biological imaging results suggested that erastin-induced ferroptosis can result in the excessive production of the endogenous HClO, and ferrostatin-1 (Fer-1) and vitamin E (VE) could block the massive accumulation of HClO in living cells.
MeSH term(s)	Fluorescent Dyes ; Hypochlorous Acid/metabolism ; Ferroptosis ; Optical Imaging/methods ; Cell Death
Chemical Substances	Fluorescent Dyes ; Hypochlorous Acid (712K4CDC10)
Language	English
Publishing date	2024-03-05
Publishing country	England
Document type	Journal Article
ZDB-ID	210413-1
ISSN	1873-3557 ; 0370-8322 ; 0584-8539 ; 1386-1425
ISSN (online)	1873-3557
ISSN	0370-8322 ; 0584-8539 ; 1386-1425
DOI	10.1016/j.saa.2024.124123
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Article ; Online: Secondary metabolites from Scindapsus officinalis (Roxb.) Schott. with in vitro antidiabetic activities.

Zhao, Lei / Wang, Yan / Wang, Zhenqiang / Niu, Tong / Yu, Jinqian / Yue, Tao

Fitoterapia

2024 Volume 173, Page(s) 105822

Abstract: One new phenolic cyclobutantetraol ester united chromone glycoside (1), one new amide (2), and three new phenyl ethanol glycosides (3-5) were obtained from the water extract of Scindapsus officinalis (Roxb.) Schott, in which compound 1 was the first ... ...

Abstract	One new phenolic cyclobutantetraol ester united chromone glycoside (1), one new amide (2), and three new phenyl ethanol glycosides (3-5) were obtained from the water extract of Scindapsus officinalis (Roxb.) Schott, in which compound 1 was the first reported structure incorporating the phenolic cyclobutantetraol ester and chromone via the glucose phenolic metabolites in nature. Structures of the isolated compounds, including absolute configurations, were elucidated according to the analysis of HRESIMS, NMR, ECD and BLYP/6-31G* geometry optimization calculations of
MeSH term(s)	Humans ; Hypoglycemic Agents/pharmacology ; Insulin Resistance ; Molecular Structure ; Glycosides/chemistry ; Chromones ; Anti-Inflammatory Agents/pharmacology ; Anti-Inflammatory Agents/chemistry ; Phenols ; Esters ; Glucose
Chemical Substances	Hypoglycemic Agents ; Glycosides ; Chromones ; Anti-Inflammatory Agents ; Phenols ; Esters ; Glucose (IY9XDZ35W2)
Language	English
Publishing date	2024-01-13
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	412385-2
ISSN	1873-6971 ; 0367-326X
ISSN (online)	1873-6971
ISSN	0367-326X
DOI	10.1016/j.fitote.2024.105822
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Article ; Online: Correlations between the structure and anti-diabetic activity of novel polysaccharides from raw and "Nine Steaming Nine Sun-Drying" Polygonti rhizome.

Yu, Jinqian / Zhao, Lei / Wang, Zhenqiang / Yue, Tao / Wang, Xiao / Liu, Wei

International journal of biological macromolecules

2024 Volume 260, Issue Pt 2, Page(s) 129171

Abstract: Nine Steaming Nine Sun-Drying" Polygonti rhizome has been used as valuable tonic health-care products for thousands of years. This research aimed to determine the correlations between the structure and anti-diabetic activities of three novel ... ...

Abstract	"Nine Steaming Nine Sun-Drying" Polygonti rhizome has been used as valuable tonic health-care products for thousands of years. This research aimed to determine the correlations between the structure and anti-diabetic activities of three novel polysaccharides isolated from the raw and "Nine Steaming Nine Sun-Drying" Polygonti rhizome, with PRP-R from the raw ones and PRP-9Z and PRP-9A from the steamed ones. Structures of the isolated polysaccharides were determined by IR and NMR spectra, as well as monosaccharide composition and methylation analysis. In vitro assays indicated that PRP-9Z could improve the glucose consumptions more effectively than PRP-R and PRP-9A via Akt/GSK3β insulin signal pathway by western blotting analysis. In vivo assays indicated PRP-9Z could improve the glucose tolerance in the BKS-db mice. Histopathological assay demonstrated that PRP-9Z effectively reduced the damage of the kidney and liver. The above results indicated that PRP-9Z from "Nine Steaming Nine Sun-Drying" Polygonti rhizome showed significant anti-diabetic properties, which indicated that PRP-9Z with higher content of →1)-β-Frup-(2→ was more active than PRP-R with higher →1,6)-β-Fruf-(2→ and PRP-9A with higher →4)-β-Galp(1→.
MeSH term(s)	Animals ; Mice ; Rhizome/chemistry ; Polysaccharides/chemistry ; Steam ; Plant Extracts/chemistry ; Glucose/analysis
Chemical Substances	Polysaccharides ; Steam ; Plant Extracts ; Glucose (IY9XDZ35W2)
Language	English
Publishing date	2024-01-02
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	282732-3
ISSN	1879-0003 ; 0141-8130
ISSN (online)	1879-0003
ISSN	0141-8130
DOI	10.1016/j.ijbiomac.2023.129171
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