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Article ; Online: Strategies of Ice and Snow Tourism to Optimize Ecological Environment and Economic Growth from the Perspective of Sustainable Development.

Cheng, Xiejun / Zhang, Donghui

Journal of environmental and public health

2022 Volume 2022, Page(s) 9577859

Abstract: Due to the successful holding of the Winter Olympics, China's enthusiasm for ice and snow sports has soared, and its enthusiasm for ice and snow tourism has also been further stimulated. At present, most of China's ice and snow tourism (IST) attractions ... ...

Abstract	Due to the successful holding of the Winter Olympics, China's enthusiasm for ice and snow sports has soared, and its enthusiasm for ice and snow tourism has also been further stimulated. At present, most of China's ice and snow tourism (IST) attractions are concentrated in the three eastern provinces. At the same time, due to the increasingly harsh environment, the natural landscape of IST is also shrinking. Therefore, this paper aims at studying the strategies of IST to optimize the ecological environment and economic growth from the perspective of sustainable development. First of all, this paper makes a certain introduction to the current situation of IST. After that, the current IST resources in China were analyzed, and the three northeastern provinces were taken as the research objects, and the distribution location, traffic conditions, and development trends of IST resources were studied in detail. Then, the autoregressive model is used to fit the tourism resources and tourist growth with the economic growth, and combined with the trend shown by the economic growth model, a strategy for the sustainable development of IST is proposed. The experimental results of this paper prove that the regional system attribute of IST resources and economic growth model is between 3 and 5, and the average is about 3.6, which shows that the growth of tourism resources has a positive correlation with economic growth. Therefore, from the perspective of sustainable development, the economic growth of the IST industry should also focus on the protection and humidity development of natural ice and snow landscapes.
MeSH term(s)	China ; Economic Development ; Environment ; Ice ; Sustainable Development ; Tourism
Chemical Substances	Ice
Language	English
Publishing date	2022-10-04
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't ; Retracted Publication
ZDB-ID	2526611-1
ISSN	1687-9813 ; 1687-9813
ISSN (online)	1687-9813
ISSN	1687-9813
DOI	10.1155/2022/9577859
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Efficacy of decitabine combined with allogeneic hematopoietic stem cell transplantation in the treatment of recurrent and refractory acute myeloid leukemia (AML): A systematic review and meta-analysis.

Zhang, Donghui / Chen, Jiahui

Medicine

2022 Volume 101, Issue 37, Page(s) e30644

Abstract: Background: This analysis aimed to assess the effect of decitabine combined with allogeneic hematopoietic stem cell transplantation (allo-HSCT) in treating recurrent and refractory acute myeloid leukemia.: Method: The present analysis was carried out ...

Abstract	Background: This analysis aimed to assess the effect of decitabine combined with allogeneic hematopoietic stem cell transplantation (allo-HSCT) in treating recurrent and refractory acute myeloid leukemia. Method: The present analysis was carried out according to the principles of Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline statement. Web of Science, Embase, PubMed, The Cochrane Library, CNKI, VIP, and WanFang Data databases were searched for trials published from their corresponding inception to September 13, 2021. Retrospective research or published randomized controlled trials in Chinese or English were ruled out. The methodological quality of the included studies was assessed using the Physiotherapy Evidence Database scale. Mean differences with 95% confidence intervals were used to analyze continuous data. The I2 test was used to determine heterogeneity, and the meta-analysis was conducted using Revman 5.4. Results: Eight studies including 795 participants in total were identified. Decitabine and allo-HSCT showed significant reductions in recurrence after transplantation (odds ratio [OR] = 0.29, 95% confidence interval [CI] (0.17, 0.50), P < .00001), leukemia-free survival (OR = 2.17, 95% CI (1.47, 3.21), P < .0001), graft related death (OR = 0.50, 95% CI (0.25, 0.98), P = .04), and significant improvements in complete remission (OR = 0.39, 95% CI = 0.23-0.68, P = .0007) and partial remission (OR = 0.46, 95%CI = 0.27-0.78, P = .004). The median follow-up time, acute graft-versus-host disease, and no remission had no significant difference between treatment and control groups (the median follow-up time: OR = -1.76, 95% CI (-6.28, 2.76), P = .45; acute graft-versus-host disease: OR = 0.72, 95% CI (0.50, 1.03), P = .08; no remission: OR = 3.19, 95%CI = 2.06-4.94, P = .05). Overall, the magnitude of the effect was found to be in the small to moderate range. Conclusion: Decitabine combined with allo-HSCT can obtain lower recurrence risk and longer disease-free survival time, and improve the prognosis of patients. The safety is relatively stable. Due to the varying quality level of the included studies, the validation of multiple high-quality studies still needs improvement.
MeSH term(s)	Decitabine/therapeutic use ; Graft vs Host Disease/etiology ; Hematopoietic Stem Cell Transplantation ; Humans ; Leukemia, Myeloid, Acute/therapy ; Retrospective Studies
Chemical Substances	Decitabine (776B62CQ27)
Language	English
Publishing date	2022-09-19
Publishing country	United States
Document type	Journal Article ; Meta-Analysis ; Systematic Review
ZDB-ID	80184-7
ISSN	1536-5964 ; 0025-7974
ISSN (online)	1536-5964
ISSN	0025-7974
DOI	10.1097/MD.0000000000030644
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Article ; Online: Pathophysiological Effects of Various Interleukins on Primary Cell Types in Common Heart Disease.

Liu, Yong / Zhang, Donghui / Yin, Dan

International journal of molecular sciences

2023 Volume 24, Issue 7

Abstract: Myocardial infarction (MI), heart failure, cardiomyopathy, myocarditis, and myocardial ischemia-reperfusion injury (I/R) are the most common heart diseases, yet there is currently no effective therapy due to their complex pathogenesis. Cardiomyocytes ( ... ...

Abstract	Myocardial infarction (MI), heart failure, cardiomyopathy, myocarditis, and myocardial ischemia-reperfusion injury (I/R) are the most common heart diseases, yet there is currently no effective therapy due to their complex pathogenesis. Cardiomyocytes (CMs), fibroblasts (FBs), endothelial cells (ECs), and immune cells are the primary cell types involved in heart disorders, and, thus, targeting a specific cell type for the treatment of heart disease may be more effective. The same interleukin may have various effects on different kinds of cell types in heart disease, yet the exact role of interleukins and their pathophysiological pathways on primary cell types remain largely unexplored. This review will focus on the pathophysiological effects of various interleukins including the IL-1 family (IL-1, IL-18, IL-33, IL-37), IL-2, IL-4, the IL-6 family (IL-6 and IL-11), IL-8, IL-10, IL-17 on primary cell types in common heart disease, which may contribute to the more precise and effective treatment of heart disease.
MeSH term(s)	Humans ; Interleukin-6/metabolism ; Endothelial Cells/metabolism ; Interleukins/metabolism ; Myocardial Infarction/metabolism ; Interleukin-1/metabolism
Chemical Substances	Interleukin-6 ; Interleukins ; Interleukin-1
Language	English
Publishing date	2023-03-30
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	2019364-6
ISSN	1422-0067 ; 1422-0067 ; 1661-6596
ISSN (online)	1422-0067
ISSN	1422-0067 ; 1661-6596
DOI	10.3390/ijms24076497
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Article: Cardiac Disease Modeling with Engineered Heart Tissue.

Cai, Lin / Wang, Ruxiang / Zhang, Donghui

Handbook of experimental pharmacology

2023 Volume 281, Page(s) 235–255

Abstract: The rhythmically beating heart is the foundation of life-sustaining blood flow. There are four chambers and many different types of cell in the heart, but the twisted myofibrillar structures formed by cardiomyocytes are particularly important for cardiac ...

Abstract	The rhythmically beating heart is the foundation of life-sustaining blood flow. There are four chambers and many different types of cell in the heart, but the twisted myofibrillar structures formed by cardiomyocytes are particularly important for cardiac contraction and electrical impulse transmission properties. The ability to generate cardiomyocytes using human-induced pluripotent stem cells has essentially solved the cell supply shortage for in vitro simulation of cardiac tissue function; however, modeling heart at the tissue level needs mature myocardial structure, electrophysiology, and contractile characteristics. Here, the current research on human functionalized cardiac microtissue in modeling cardiac diseases is reviewed and the design criteria and practical applications of different human engineered heart tissues, including cardiac organoids, cardiac thin films, and cardiac microbundles are analyzed. Table summarizing the ability of several in vitro myocardial models to assess heart structure and function for cardiac disease modeling.
MeSH term(s)	Humans ; Cell Differentiation ; Myocytes, Cardiac/metabolism ; Myocardium ; Tissue Engineering ; Heart Diseases/metabolism
Language	English
Publishing date	2023-08-10
Publishing country	Germany
Document type	Review ; Journal Article
ISSN	0171-2004
ISSN	0171-2004
DOI	10.1007/164_2023_681
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Article ; Online: Solution Self-Assembly of Coil-Crystalline Diblock Copolypeptoids Bearing Alkyl Side Chains.

Jiang, Naisheng / Zhang, Donghui

Polymers

2021 Volume 13, Issue 18

Abstract: Polypeptoids, a class of synthetic peptidomimetic polymers, have attracted increasing attention due to their potential for biotechnological applications, such as drug/gene delivery, sensing and molecular recognition. Recent investigations on the solution ...

Abstract	Polypeptoids, a class of synthetic peptidomimetic polymers, have attracted increasing attention due to their potential for biotechnological applications, such as drug/gene delivery, sensing and molecular recognition. Recent investigations on the solution self-assembly of amphiphilic block copolypeptoids highlighted their capability to form a variety of nanostructures with tailorable morphologies and functionalities. Here, we review our recent findings on the solutions self-assembly of coil-crystalline diblock copolypeptoids bearing alkyl side chains. We highlight the solution self-assembly pathways of these polypeptoid block copolymers and show how molecular packing and crystallization of these building blocks affect the self-assembly behavior, resulting in one-dimensional (1D), two-dimensional (2D) and multidimensional hierarchical polymeric nanostructures in solution.
Language	English
Publishing date	2021-09-16
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	2527146-5
ISSN	2073-4360 ; 2073-4360
ISSN (online)	2073-4360
ISSN	2073-4360
DOI	10.3390/polym13183131
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Article ; Online: IL-37 Modulates Myocardial Calcium Handling via the p-STAT3/SERCA2a Axis in HF-Related Engineered Human Heart Tissue.

Yin, Dan / Liu, Yong / Xue, Bingqing / Ding, Rui / Wang, Gang / Xia, Shutao / Zhang, Donghui

Advanced healthcare materials

2024 , Page(s) e2303957

Abstract: Interleukin-37 (IL-37) is a potent anti-inflammatory cytokine belonging to the IL-1 family. This study investigates the regulatory mechanism and reparative effects of IL-37 on HF-related human induced pluripotent stem cells derived cardiomyocytes (hiPSC- ... ...

Abstract	Interleukin-37 (IL-37) is a potent anti-inflammatory cytokine belonging to the IL-1 family. This study investigates the regulatory mechanism and reparative effects of IL-37 on HF-related human induced pluripotent stem cells derived cardiomyocytes (hiPSC-CMs) and engineered human heart tissue subjected to hypoxia and H
Language	English
Publishing date	2024-02-09
Publishing country	Germany
Document type	Journal Article
ZDB-ID	2649576-4
ISSN	2192-2659 ; 2192-2640
ISSN (online)	2192-2659
ISSN	2192-2640
DOI	10.1002/adhm.202303957
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Article: Models for calcific aortic valve disease in vivo and in vitro.

Zhu, Zijin / Liu, Zhirong / Zhang, Donghui / Li, Li / Pei, Jianqiu / Cai, Lin

Cell regeneration (London, England)

2024 Volume 13, Issue 1, Page(s) 6

Abstract: Calcific Aortic Valve Disease (CAVD) is prevalent among the elderly as the most common valvular heart disease. Currently, no pharmaceutical interventions can effectively reverse or prevent CAVD, making valve replacement the primary therapeutic recourse. ... ...

Abstract	Calcific Aortic Valve Disease (CAVD) is prevalent among the elderly as the most common valvular heart disease. Currently, no pharmaceutical interventions can effectively reverse or prevent CAVD, making valve replacement the primary therapeutic recourse. Extensive research spanning decades has contributed to the establishment of animal and in vitro cell models, which facilitates a deeper understanding of the pathophysiological progression and underlying mechanisms of CAVD. In this review, we provide a comprehensive summary and analysis of the strengths and limitations associated with commonly employed models for the study of valve calcification. We specifically emphasize the advancements in three-dimensional culture technologies, which replicate the structural complexity of the valve. Furthermore, we delve into prospective recommendations for advancing in vivo and in vitro model studies of CAVD.
Language	English
Publishing date	2024-03-01
Publishing country	China
Document type	Journal Article ; Review
ZDB-ID	2682438-3
ISSN	2045-9769
ISSN	2045-9769
DOI	10.1186/s13619-024-00189-8
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Article ; Online: Spectral-Spatial Feature Fusion for Hyperspectral Anomaly Detection.

Liu, Shaocong / Li, Zhen / Wang, Guangyuan / Qiu, Xianfei / Liu, Tinghao / Cao, Jing / Zhang, Donghui

Sensors (Basel, Switzerland)

2024 Volume 24, Issue 5

Abstract: Hyperspectral anomaly detection is used to recognize unusual patterns or anomalies in hyperspectral data. Currently, many spectral-spatial detection methods have been proposed with a cascaded manner; however, they often neglect the complementary ... ...

Abstract	Hyperspectral anomaly detection is used to recognize unusual patterns or anomalies in hyperspectral data. Currently, many spectral-spatial detection methods have been proposed with a cascaded manner; however, they often neglect the complementary characteristics between the spectral and spatial dimensions, which easily leads to yield high false alarm rate. To alleviate this issue, a spectral-spatial information fusion (SSIF) method is designed for hyperspectral anomaly detection. First, an isolation forest is exploited to obtain spectral anomaly map, in which the object-level feature is constructed with an entropy rate segmentation algorithm. Then, a local spatial saliency detection scheme is proposed to produce the spatial anomaly result. Finally, the spectral and spatial anomaly scores are integrated together followed by a domain transform recursive filtering to generate the final detection result. Experiments on five hyperspectral datasets covering ocean and airport scenes prove that the proposed SSIF produces superior detection results over other state-of-the-art detection techniques.
Language	English
Publishing date	2024-03-03
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/s24051652
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Article ; Online: Lightweight Deep Learning Models for High-Precision Rice Seedling Segmentation from UAV-Based Multispectral Images.

Zhang, Panli / Sun, Xiaobo / Zhang, Donghui / Yang, Yuechao / Wang, Zhenhua

Plant phenomics (Washington, D.C.)

2023 Volume 5, Page(s) 123

Abstract: Accurate segmentation and detection of rice seedlings is essential for precision agriculture and high-yield cultivation. However, current methods suffer from high computational complexity and poor robustness to different rice varieties and densities. ... ...

Abstract	Accurate segmentation and detection of rice seedlings is essential for precision agriculture and high-yield cultivation. However, current methods suffer from high computational complexity and poor robustness to different rice varieties and densities. This article proposes 2 lightweight neural network architectures, LW-Segnet and LW-Unet, for high-precision rice seedling segmentation. The networks adopt an encoder-decoder structure with hybrid lightweight convolutions and spatial pyramid dilated convolutions, achieving accurate segmentation while reducing model parameters. Multispectral imagery acquired by unmanned aerial vehicle (UAV) was used to train and test the models covering 3 rice varieties and different planting densities. Experimental results demonstrate that the proposed LW-Segnet and LW-Unet models achieve higher F1-scores and intersection over union values for seedling detection and row segmentation across varieties, indicating improved segmentation accuracy. Furthermore, the models exhibit stable performance when handling different varieties and densities, showing strong robustness. In terms of efficiency, the networks have lower graphics processing unit memory usage, complexity, and parameters but faster inference speeds, reflecting higher computational efficiency. In particular, the fast speed of LW-Unet indicates potential for real-time applications. The study presents lightweight yet effective neural network architectures for agricultural tasks. By handling multiple rice varieties and densities with high accuracy, efficiency, and robustness, the models show promise for use in edge devices and UAVs to assist precision farming and crop management. The findings provide valuable insights into designing lightweight deep learning models to tackle complex agricultural problems.
Language	English
Publishing date	2023-11-30
Publishing country	United States
Document type	Journal Article
ISSN	2643-6515
ISSN (online)	2643-6515
DOI	10.34133/plantphenomics.0123
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Article ; Online: Real-time calcium imaging in living plants.

Zhang, Yachun / Zhang, Donghui / Huang, Shanjin / Ye, Nenghui / He, Yuchi

Trends in plant science

2023 Volume 28, Issue 11, Page(s) 1326–1327

Language	English
Publishing date	2023-08-12
Publishing country	England
Document type	Journal Article
ZDB-ID	1305448-x
ISSN	1878-4372 ; 1360-1385
ISSN (online)	1878-4372
ISSN	1360-1385
DOI	10.1016/j.tplants.2023.07.002
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