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Article: A New Conformal Penetrating Heating Strategy for Atherosclerotic Plaque.

Wang, Hongying / Zhao, Shiqing / Zou, Jincheng / Zhang, Aili

2023 Volume 10, Issue 2

Abstract: 1) Background: A combination of radiofrequency (RF) volumetric heating and convection cooling has been proposed to realize plaque ablation while protecting the endothelial layer. However, the depth of the plaque and the thickness of the endothelial ... ...

Abstract	(1) Background: A combination of radiofrequency (RF) volumetric heating and convection cooling has been proposed to realize plaque ablation while protecting the endothelial layer. However, the depth of the plaque and the thickness of the endothelial layer vary in different atherosclerotic lesions. Current techniques cannot be used to achieve penetrating heating for atherosclerosis with two targets (the specified protection depth and the ablation depth). (2) Methods: A tissue-mimicking phantom heating experiment simulating atherosclerotic plaque ablation was conducted to investigate the effects of the control parameters, the target temperature (
Language	English
Publishing date	2023-01-26
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2746191-9
ISSN	2306-5354
ISSN	2306-5354
DOI	10.3390/bioengineering10020162
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Article: [Numerical Study on the Process of Human Brain Cooling Treated by Hemoperfusion Mild Hypothermia].

Fang, Xin / Xu, Zihang / Dai, Qizheng / Zhang, Aili

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation

2023 Volume 47, Issue 4, Page(s) 391–395

Abstract: Mild hypothermia, as a common means of intraoperative nerve protection, has been used in clinical practice. Compared with the traditional methods such as freezing helmet and nasopharyngeal cooling, hypothermic blood perfusion is considered to be a ... ...

Abstract	Mild hypothermia, as a common means of intraoperative nerve protection, has been used in clinical practice. Compared with the traditional methods such as freezing helmet and nasopharyngeal cooling, hypothermic blood perfusion is considered to be a promising treatment for mild hypothermia, but it lacks experimental and theoretical verification of its cooling effect. In this study, the commercial finite element simulation software COMSOL combined the Pennes equation with the cerebrovascular network model to construct a new simplified human brain model, which was further used to simulate the cooling process of cerebral hypothermic blood perfusion. When the hypothermic blood perfusion was 33 ℃, the human brain could enter the mild hypothermic state within 4 minutes. By comparing with helmet cooling, the feasibility and efficiency of the blood perfusion scheme were verified. By comparing with the calculation results based on Pennes equation, the rationality of the model constructed in this study were verified. This model can non-intrusively predict the changes of brain temperature during surgery, and provide a reference for the setting of treatment parameters such as blood temperature, so as to provide personalized realization of safer and more effective mild hypothermia neuro protection.
MeSH term(s)	Humans ; Hypothermia, Induced/methods ; Hypothermia ; Hemoperfusion ; Brain/surgery ; Brain/physiology ; Body Temperature
Language	Chinese
Publishing date	2023-08-14
Publishing country	China
Document type	English Abstract ; Journal Article
ISSN	1671-7104
ISSN	1671-7104
DOI	10.3969/j.issn.1671-7104.2023.04.007
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Article ; Online: A coupled thermal-electrical-structural model for balloon-based thermoplasty treatment of atherosclerosis.

Zhao, Shiqing / Wang, Hongying / Zou, Jincheng / Zhang, Aili

International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group

2023 Volume 40, Issue 1, Page(s) 2122597

Abstract: Objectives: The outcome of balloon-based atherosclerosis thermoplasty is closely related to the temperature/stress distribution during the treatment. For precise prediction of a required thermal lesion in the heterogeneous and thin atherosclerotic ... ...

Abstract	Objectives: The outcome of balloon-based atherosclerosis thermoplasty is closely related to the temperature/stress distribution during the treatment. For precise prediction of a required thermal lesion in the heterogeneous and thin atherosclerotic vessel, a numerical model incorporating heat-induced tissue expansion or shrinkage and the strain caused by balloon dilation is necessary. Methods: A fully coupled thermal-electrical-structural new model was established. The model features a heterogeneous structure including eccentric plaque, healthy artery and surrounding tissue. Tissue expansion/shrinkage and hyperelasticity material model were taken into consideration. Different heating strategies and plaque mechanical properties were investigated. The temperature distribution was compared with the traditional thermal-electrical coupled model. The possibility of thermoplasty treatment using balloons with different sizes was also explored. Results: The temperature, the electrical intensity and the stress during the thermoplasty were obtained. Lower stress was found in the heating region where tissue shrinkage occurred. The ablation depth was predicted to be ∼0.42 mm larger without coupling the biomechanical influence. The mechanical properties and input condition significantly affect the temperature and stress distribution considering the small dimensions of the tissue. Besides, with a 12.5% reduction of balloon diameter, the largest Von Mises stress decreases by 25.4%. Conclusions: It is confirmed that a coupled thermal-electrical-structural model is needed for precise temperature prediction in the balloon-based thermoplasty of the heterogeneous and thin tissue. The model presented may help with future development of optimized treatment planning considering both ablation depth and minimum stress.
MeSH term(s)	Humans ; Hot Temperature ; Temperature ; Atherosclerosis
Language	English
Publishing date	2023-01-13
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	632526-9
ISSN	1464-5157 ; 0265-6736
ISSN (online)	1464-5157
ISSN	0265-6736
DOI	10.1080/02656736.2022.2122597
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Article ; Online: Impact of Pilot Zones for Green Finance Reform and Innovations on green technology innovations: evidence from Chinese manufacturing corporates.

Sun, Xinyu / Zhang, Aili / Zhu, Mengze

Environmental science and pollution research international

2023 Volume 30, Issue 15, Page(s) 43901–43913

Abstract: Green technology innovation is a crucial factor in the global quest for sustainability. In 2017, China approved the establishment of Pilot Zones for Green Financial Reform and Innovations to build and improve the green financial system. Using a ... ...

Abstract	Green technology innovation is a crucial factor in the global quest for sustainability. In 2017, China approved the establishment of Pilot Zones for Green Financial Reform and Innovations to build and improve the green financial system. Using a difference-in-difference (DID) model, this paper examines the impact of this pilot policy on corporate green technology innovation and its transmission mechanism based on the data of green patents of Chinese A-share listed manufacturing companies between 2014 and 2019. It is found that Pilot Zones for Green Financial Reform and Innovations have contributed to the growth of green technology innovations. This conclusion is confirmed after a series of robustness tests. The pilot policy's promotion of green technology innovations is mainly reflected in the application of corporate green invention patents. However, it is more significant for non-heavy polluting enterprises, high-tech certified enterprises, and large enterprises. The paper also finds that the pilot policy promotes corporate green technology innovation by promoting social financing, talent support, and government financial support.
MeSH term(s)	Certification ; China ; Commerce ; Technology ; Manufacturing Industry ; Sustainable Growth
Language	English
Publishing date	2023-01-21
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-023-25371-4
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Article: The Clinical Efficacy of Platelet-Rich Plasma Injection Therapy versus Different Control Groups for Chronic Low Back Pain: A Network Meta-Analysis of Randomized Controlled Trials.

Zhang, Xue / Zhang, Aili / Guan, Hao / Zhou, Li / Zhang, Jiao / Yin, Wenjie

Journal of pain research

2024 Volume 17, Page(s) 1077–1089

Abstract: Objective: Low back pain is one of the main causes of disability in the world. Although regenerative medicine may represent breakthroughs in the management of low back pain, its use remains controversial. Therefore, we conducted a meta-analysis to ... ...

Abstract	Objective: Low back pain is one of the main causes of disability in the world. Although regenerative medicine may represent breakthroughs in the management of low back pain, its use remains controversial. Therefore, we conducted a meta-analysis to evaluate the clinical efficacy of platelet-rich plasma (PRP) injection therapy versus different control groups for chronic low back pain during 4 weeks, 3 months, and 6 months. Methods: Different electronic databases were searched for randomized controlled trials up to August 2023. Mean changes from baseline in pain and Oswestry Disability Index (ODI) scores at 4 weeks, 3 months, and 6 months and standard deviations of outcome were recorded. Results: Four articles with 154 cases were finally included in this meta-analysis. After 4 weeks, corticosteroid (CS) was the optimal treatment option for chronic low back pain in terms of improvement in pain and disability index (surface under the cumulative ranking curve [SUCRA]=71.3%, SUCRA=57.8%, respectively). After 3 months, radiofrequency (RF) emerged as the best therapy in pain (SUCRA=100%) and disability index (SUCRA=98.5%), followed by PRP (SUCRA=62.3%, SUCRA=64.3%, respectively), CS (SUCRA=24.6%, SUCRA=25.9%, respectively) and lidocaine (SUCRA=13.1%, SUCRA=11.3%, respectively). At 6 months, RF was most likely to be the best treatment in pain (SUCRA=94.9%) and disability index (SUCRA=77.3%), followed by PRP (SUCRA=71.2%, SUCRA=79.6%, respectively). However, compared with the last follow-up, there was a slight downward trend in improvement pain and disability index with RF, while PRP was still an upward trend. Conclusion: This study demonstrated better short-term improvement of chronic low back pain with CS after 4 weeks. PRP and RF improvement effects matched, but follow-up of at least 6 months showed that PRP seemed to be more advantageous in improvement in disability indices. Considering the limitations of this study, these conclusions still need to be verified by more comparative RCTs and a longer follow-up period.
Language	English
Publishing date	2024-03-14
Publishing country	New Zealand
Document type	Journal Article
ZDB-ID	2495284-9
ISSN	1178-7090
ISSN	1178-7090
DOI	10.2147/JPR.S444189
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Article ; Online: Application of Deep Learning and Intelligent Sensing Analysis in Smart Home.

Lu, Yi / Zhou, Lejia / Zhang, Aili / Zha, Siyu / Zhuo, Xiaojie / Ge, Sen

Sensors (Basel, Switzerland)

2024 Volume 24, Issue 3

Abstract: Deep learning technology can improve sensing efficiency and has the ability to discover potential patterns in data; the efficiency of user behavior recognition in the field of smart homes has been further improved, making the recognition process more ... ...

Abstract	Deep learning technology can improve sensing efficiency and has the ability to discover potential patterns in data; the efficiency of user behavior recognition in the field of smart homes has been further improved, making the recognition process more intelligent and humanized. This paper analyzes the optical sensors commonly used in smart homes and their working principles through case studies and explores the technical framework of user behavior recognition based on optical sensors. At the same time, CiteSpace (Basic version 6.2.R6) software is used to visualize and analyze the related literature, elaborate the main research hotspots and evolutionary changes of optical sensor-based smart home user behavior recognition, and summarize the future research trends. Finally, fully utilizing the advantages of cloud computing technology, such as scalability and on-demand services, combining typical life situations and the requirements of smart home users, a smart home data collection and processing technology framework based on elderly fall monitoring scenarios is designed. Based on the comprehensive research results, the application and positive impact of optical sensors in smart home user behavior recognition were analyzed, and inspiration was provided for future smart home user experience research.
Language	English
Publishing date	2024-02-01
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s24030953
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Article: Upregulation of homeobox D10 expression suppresses invasion and migration of clear cell renal cell carcinoma through targeting of E-cadherin

Ren, Zongtao / Niu, Yunfeng / Fan, Bo / Zhang, Aili

Molecular biology reports. 2022 Mar., v. 49, no. 3

2022

Abstract: BACKGROUND: Clear cell renal cell carcinoma (CCRCC) is one of the most common types of renal cell carcinoma. Accumulating evidence indicates that homeobox D10 (HOXD10) acts as a tumor suppressor or oncogene in various carcinomas. However, the regulation ... ...

Abstract	BACKGROUND: Clear cell renal cell carcinoma (CCRCC) is one of the most common types of renal cell carcinoma. Accumulating evidence indicates that homeobox D10 (HOXD10) acts as a tumor suppressor or oncogene in various carcinomas. However, the regulation and potential mechanisms of HOXD10 in CCRCC remain largely unknown. PURPOSE: To explore the effect and potential mechanism of HOXD10 on the invasion and migration of CCRCC cells. METHODS: The expression of HOXD10, E-cadherin and other epithelial mesenchymal transition (EMT)-related proteins was assessed by reverse transcription-quantitative real-time PCR (qRT-PCR) and Western blots. A series of functional assays were performed in RCC cell lines to explore the function of HOXD10 in CCRCC progression. Bioinformatics analysis, ChIP assays, and dual luciferase reporter assays were utilized to identify the interaction between HOXD10 and E-cadherin. RESULTS: Low expression of HOXD10 and E-cadherin was observed in CCRCC tissues and ACHN and 786-O cells. Downregulation of HOXD10 expression was correlated with the TNM stage of CCRCC patients. Functional experiments demonstrated that malignant biological ability was significantly inhibited by HOXD10 overexpression in RCC cells. Moreover, E-cadherin was a potential target gene of HOXD10, as evidenced by a series of assays. In addition, overexpression of HOXD10 inhibited the progression of CCRCC by regulating the expression of E-cadherin, vimentin, and β-catenin in vitro. CONCLUSION: HOXD10 acts as a tumor suppressor and suppresses invasion and migration of CCRCC cells by regulating E-cadherin and EMT processes. Thus, targeting HOXD10 may be a therapeutic strategy for CCRCC treatment.
Keywords	bioinformatics ; cadherins ; epithelium ; luciferase ; molecular biology ; oncogenes ; quantitative polymerase chain reaction ; renal cell carcinoma ; therapeutics ; vimentin
Language	English
Dates of publication	2022-03
Size	p. 1837-1846.
Publishing place	Springer Netherlands
Document type	Article
ZDB-ID	186544-4
ISSN	1573-4978 ; 0301-4851
ISSN (online)	1573-4978
ISSN	0301-4851
DOI	10.1007/s11033-021-06993-8
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Analysis of the expression and significance of lymphocyte ratio in different stages and clinical types of COVID-19.

Xu, Jinwei / Yao, Guangyao / Zhang, Aili / Gao, Haixiang / Yan, Li

Cellular and molecular biology (Noisy-le-Grand, France)

2023 Volume 69, Issue 15, Page(s) 132–135

Abstract: This study aimed to analyze the expression of lymphocyte ratio (LY%) in different stages and clinical staging of COVID-19 and explore the relationship between peripheral blood lymphocyte (PBL) ratio and COVID-19 severity to provide reference for early ... ...

Abstract	This study aimed to analyze the expression of lymphocyte ratio (LY%) in different stages and clinical staging of COVID-19 and explore the relationship between peripheral blood lymphocyte (PBL) ratio and COVID-19 severity to provide reference for early intervention. For this purpose, a total of 125 patients with COVID-19 admitted to Hebei Provincial People's Hospital from February 1, 2020, to March 1, 2022, were reviewed and divided into moderate, severe, and critical groups by the severity to analyze and compare peripheral lymphocyte ratios of patients with different clinical typing. Results showed that lymphocyte count, lymphocyte percentage, CD3+ T-lymphocyte count, CD4+ T-lymphocyte count, and CD8+ T-lymphocyte count all decreased gradually with increasing severity (F = 27.84, P<0.05; F = 15.28, P<0.05; F = 46.12, P<0.05; F = 34.65, P<0.05); the absolute numbers of CD3+, CD4+ and CD8+ cells in peripheral blood were higher in the recovery phase than in the acute phase (P<0.05). In conclusion, COVID-19 may cause a decrease in the number of lymphocytes, and the decrease in the number of lymphocytes and T-lymphocyte subsets may predict the severity of the disease. The fewer lymphocytes there are, the more likely they are to progress to the severe type and the worse the prognosis.
MeSH term(s)	Humans ; COVID-19 ; T-Lymphocyte Subsets ; CD8-Positive T-Lymphocytes ; Lymphocyte Count ; Hospitalization
Language	English
Publishing date	2023-12-31
Publishing country	France
Document type	Journal Article
ZDB-ID	1161779-2
ISSN	1165-158X ; 0145-5680
ISSN (online)	1165-158X
ISSN	0145-5680
DOI	10.14715/cmb/2023.69.15.23
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Article: Stiffening of the gluteal muscle increased the intramuscular stress: An in-silico implication of deep tissue injury.

Jia, Jingyi / Gong, Shengbo / Zhang, Aili / Jiang, Liping / Yao, Yifei

Heliyon

2023 Volume 9, Issue 2, Page(s) e13459

Abstract: Objectives: Deep tissue injury is a common form of pressure ulcers in muscle tissues under bony prominences caused by sustained pressure or shear, which has a great impact on patients with restricted mobility such as spinal cord injury. Frequent spasms ... ...

Abstract	Objectives: Deep tissue injury is a common form of pressure ulcers in muscle tissues under bony prominences caused by sustained pressure or shear, which has a great impact on patients with restricted mobility such as spinal cord injury. Frequent spasms in spinal cord injury patients featured by muscle stiffening may be one of the factors leading to deep tissue injury. The purpose of this study was to investigate the relationship between the gluteal muscle shear modulus and intramuscular compressive/shear stress/strain. Methods: A semi-3D finite element model of the human buttock was established using COMSOL software and the acquired biomechanical data were analyzed through Pearson correlation and Spearman correlation. Results: Results showed that the compressive stress, strain energy density, and average von Mises stress increased with the increase of the gluteal muscle shear modulus. Conclusion: These results may indicate muscle stiffening caused by muscle spasms could lead to higher deep tissue injury development risk as well as shed light on effective treatments for relieving muscular sclerosis mechanically.
Language	English
Publishing date	2023-02-03
Publishing country	England
Document type	Journal Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2023.e13459
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Article: Annotation-efficient learning for OCT segmentation.

Zhang, Haoran / Yang, Jianlong / Zheng, Ce / Zhao, Shiqing / Zhang, Aili

Biomedical optics express

2023 Volume 14, Issue 7, Page(s) 3294–3307

Abstract: Deep learning has been successfully applied to OCT segmentation. However, for data from different manufacturers and imaging protocols, and for different regions of interest (ROIs), it requires laborious and time-consuming data annotation and training, ... ...

Abstract	Deep learning has been successfully applied to OCT segmentation. However, for data from different manufacturers and imaging protocols, and for different regions of interest (ROIs), it requires laborious and time-consuming data annotation and training, which is undesirable in many scenarios, such as surgical navigation and multi-center clinical trials. Here we propose an annotation-efficient learning method for OCT segmentation that could significantly reduce annotation costs. Leveraging self-supervised generative learning, we train a Transformer-based model to learn the OCT imagery. Then we connect the trained Transformer-based encoder to a CNN-based decoder, to learn the dense pixel-wise prediction in OCT segmentation. These training phases use open-access data and thus incur no annotation costs, and the pre-trained model can be adapted to different data and ROIs without re-training. Based on the greedy approximation for the k-center problem, we also introduce an algorithm for the selective annotation of the target data. We verified our method on publicly-available and private OCT datasets. Compared to the widely-used U-Net model with 100% training data, our method only requires
Language	English
Publishing date	2023-06-13
Publishing country	United States
Document type	Journal Article
ZDB-ID	2572216-5
ISSN	2156-7085
ISSN	2156-7085
DOI	10.1364/BOE.486276
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