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Article ; Online: Changes in Cultivated Land Loss and Landscape Fragmentation in China from 2000 to 2020

Xue Wang

Land, Vol 11, Iss 684, p

2022 Volume 684

Abstract: Cultivated land area and fragmentation are two crucial elements that influence food production in China. However, few studies have analyzed the fine-grained changes in both the area and the fragmentation of cultivated land from a national perspective. ... ...

Abstract	Cultivated land area and fragmentation are two crucial elements that influence food production in China. However, few studies have analyzed the fine-grained changes in both the area and the fragmentation of cultivated land from a national perspective. Using a 30 m annual land-cover dataset with the help of cultivated land area (CA) and a newly constructed coupling landscape fragmentation index (CLFI), this research identified the spatial distribution characteristics of both the area and the landscape fragmentation of cultivated land in Chinese counties and simultaneously analyzed the changes in the above two elements since the beginning of the 21st century. The results showed that the distribution pattern of CA in China’s counties was large in the north and small in the south. During the first two decades of the 21st century, the total CA of China decreased, but the decrease rate decreased from 2.91% in 2000–2010 to 0.41% in 2010–2020; in contrast, the CLFI of China showed an increasing trend, but the increase rate also decreased, from 4.06% in 2000–2010 to 0.51% in 2010–2020. Spatially, from 2000 to 2010, there was an obvious reverse distribution pattern between counties with large CA changes and those with large CLFI changes; however, this pattern became less obvious from 2010 to 2020. Urban expansion, sloping land conversion programs and other ecological protection programs, and land development and consolidation programs were major causes of changes in the CA and CLFI across China. The findings of this research provide a data basis and scientific support for the protection and large-scale utilization of cultivated land, where this information is necessary to ensure food security.
Keywords	land-use change ; land fragmentation ; land-cover data ; cultivated land protection ; China ; Agriculture ; S
Subject code	710
Language	English
Publishing date	2022-05-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The effect of nursing intervention on self-care self-efficacy and genes related to anxiety in patients with bone marrow transplantation.

Xue Wang / Hongyue Yang / Xiaoling Zhang / Qi Fan

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

2023 Volume 69, Issue 3, Page(s) 98–102

Abstract: Leukemia patients, after bone marrow transplantation, face many problems that hurt their self-efficacy in self-care. The present study aimed to determine the effect of health promotion strategies on the self-efficacy of patients undergoing bone marrow ... ...

Abstract	Leukemia patients, after bone marrow transplantation, face many problems that hurt their self-efficacy in self-care. The present study aimed to determine the effect of health promotion strategies on the self-efficacy of patients undergoing bone marrow transplantation in self-care. The expression level of two genes affecting anxiety (i.e., 5-hydroxytryptamine receptor 1A (5-HT1A) and Corticotropin Releasing Hormone Receptor 1 (CRHR1)) was also investigated. For this purpose, this semi-experimental study was conducted before and after in bone marrow transplant candidate patients. Sixty patients were randomly divided into test and control groups. The test group received training on health promotion strategies, and the control group was treated according to the department's routine. Then the self-efficacy of the two groups was compared before and thirty days after the intervention. Also, the expression level of two genes was done by real-time PCR. Data analysis was done using descriptive statistics and paired t-tests, independent t-tests, analysis of covariance, and chi-square in SPSS 11.5 software. The results showed that there was no significant difference between the demographic variables of the two groups. The self-efficacy of the test group in the general scale and dimensions of adaptability, decision-making, and stress reduction increased compared to the control group and themselves before the training (p>0.001). The difference in self-efficacy scores in all dimensions before the intervention was statistically significant (p<0.05). The genetic evaluations also confirmed the obtained results. According to the expression of 5-HT1A and CRHR1 genes, the level of these genes which directly relate to anxiety were significantly decreased after intervention in the test group. In general, teaching health promotion strategies to bone marrow transplant patients can increase the confidence of these patients in taking care of themselves in the treatment process, which will ultimately lead to more survival and a higher quality of life in these patients.
MeSH term(s)	Humans ; Bone Marrow Transplantation ; Self Efficacy ; Self Care ; Quality of Life ; Anxiety/genetics ; Anxiety/therapy
Language	English
Publishing date	2023-03-31
Publishing country	France
Document type	Randomized Controlled Trial ; Journal Article
ZDB-ID	1161779-2
ISSN	1165-158X ; 0145-5680
ISSN (online)	1165-158X
ISSN	0145-5680
DOI	10.14715/cmb/2023.69.3.13
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Article ; Online: Improved Giza pyramids construction algorithm for Modify the deep neural network-based method for energy demand forecasting

Xue Wang / Saeid Razmjooy

Heliyon, Vol 9, Iss 10, Pp e20527- (2023)

2023

Abstract: Accurate prediction of energy demand is crucial for improving services, reducing costs, and optimizing operations in energy systems. Deep neural networks (DNNs) have emerged as a popular method for energy demand forecasting. However, the performance of ... ...

Abstract	Accurate prediction of energy demand is crucial for improving services, reducing costs, and optimizing operations in energy systems. Deep neural networks (DNNs) have emerged as a popular method for energy demand forecasting. However, the performance of DNNs can be affected by data quality and hyperparameter selection. To address these concerns, this study proposes a novel energy demand forecasting technique that combines DNNs with an enhanced Giza pyramid construction methodology. The aim of this study is to provide a more reliable and effective approach for forecasting energy demand. The DNNs are employed to capture the complex relationships between input and output variables, while the Giza pyramids algorithm is utilized to optimal selection of hyperparameters of the network. Real-world energy demand data is used to evaluate the proposed approach, comparing it with state-of-the-art baseline models. The research methodology involves assessing the suggested approach using real-world energy demand information and conducting a comparative analysis with cutting-edge baseline models, including modified BP neural network (MBPNN), Neural Network based Genetic Algorithm (NNGA), and reinforcement learning and deep neural network (RLDNN). The IGPCA/CNN method outperforms other methods in energy prediction accuracy across short-term, medium-term, and long-term time scales. It achieves an MSE score of 0.564, lower than MBPNN, NNGA, and RLDNN. In medium-term prediction, it achieves an MSE score of 0.587, better than MBPNN, NNGA, and RLDNN. In long-term prediction, it achieves an MSE score of 0.629, lower than MBPNN and RLDNN. Further analysis and validation experiments are needed to ensure robustness and generalizability. Comparing the method with other state-of-the-art approaches can provide a comprehensive understanding of its superiority. The performance of the models is evaluated based on reliability and effectiveness in energy demand forecasting. The major conclusion of this study is that the proposed approach ...
Keywords	Energy demand ; Forecasting ; Deep neural networks ; Efficiency ; Improved giza pyramids construction algorithm ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
Subject code	690
Language	English
Publishing date	2023-10-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Skin Manifestation of Human Monkeypox

Xue Wang / Wenhui Lun

Journal of Clinical Medicine, Vol 12, Iss 914, p

2023 Volume 914

Abstract: Monkeypox is a zoonotic infectious disease caused by the monkeypox virus (MPXV) infection, which is mainly manifested as characteristic rashes. It spreads mainly through direct skin-to-skin contact. In some cases, respiratory transmission occurs through ... ...

Abstract	Monkeypox is a zoonotic infectious disease caused by the monkeypox virus (MPXV) infection, which is mainly manifested as characteristic rashes. It spreads mainly through direct skin-to-skin contact. In some cases, respiratory transmission occurs through contact with respiratory droplets when in close contact with an infected person for a long time. The monkeypox outbreak in 2022 frequently occurred in the MSM (men who have sex with men) population, raising concerns about whether monkeypox could be transmitted through sexual behavior. This article mainly reviews the research progress of skin manifestations of monkeypox, including typical and atypical rashes of monkeypox, and different skin manifestations in some special groups, such as children, pregnant women and individuals co-infected with HIV (human immunodeficiency virus) and MPXV. At present, dermatologists are not very familiar with the diagnosis and treatment of monkeypox, it is therefore necessary to review the skin manifestations of monkeypox, which can help clinicians diagnose the sporadic cases and monitor the occurrence of monkeypox early, particularly in people at higher risk of infection. Early clinical diagnosis and treatment can largely avoid serious complications and death from monkeypox.
Keywords	monkeypox ; viral dermatosis ; skin manifestations ; HIV–MPX co-infection ; Medicine ; R
Subject code	616
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The mechanism and traditional Chinese medicine research of bone destruction and hypercalcemia in multiple myeloma

Xue Wang

TMR Theory and Hypothesis, Vol 2, Iss 3, Pp 225-

2019 Volume 228

Abstract: Multiple myeloma is a malignant proliferative disease of plasma cells. Its main feature is the malignant proliferation of monoclonal plasma cells and the secretion of a large number of monoclonal immunoglobulins. Because of the uncontrolled proliferation, ...

Abstract	Multiple myeloma is a malignant proliferative disease of plasma cells. Its main feature is the malignant proliferation of monoclonal plasma cells and the secretion of a large number of monoclonal immunoglobulins. Because of the uncontrolled proliferation, extensive infiltration of malignant plasma cells, and the appearance and deposition of a large number of monoclonal immunoglobulins, normal polyclonal plasma cell proliferation and polyclonal immunoglobulin secretion are inhibited. It can cause extensive bone destruction, hypercalcemia, repeated infection, renal insufficiency, high viscosity syndrome and other clinical manifestations, which can alsolead to adverse consequences.In view of these unique clinical manifestations and pathological features of multiple myeloma, we systematically expounded the pathological characteristics of multiple myeloma and the treatment of traditional Chinese medicine from extensive bone destruction and hypercalcemia on the basis of Chinese and Western medicine. In order to provide theoretical support and clinical guidance for the treatment of multiple bone marrow tumors with bone destruction and hypercalcemia.
Keywords	Multiple myeloma ; Bone destruction ; Hypercalcemia ; Traditional Chinese medicine research ; Medicine (General) ; R5-920
Language	English
Publishing date	2019-09-01T00:00:00Z
Publisher	TMR publishing group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Improvement of Students’ Autonomous Learning Behavior by Optimizing Foreign Language Blended Learning Mode

Xue Wang / Wei Zhang

SAGE Open, Vol

2022 Volume 12

Abstract: Given the significance of cultivating students’ autonomous learning ability, there is a need to develop an instructional model that can improve students’ awareness and behavior of autonomous learning, as well as to explore the effectiveness and ... ...

Abstract	Given the significance of cultivating students’ autonomous learning ability, there is a need to develop an instructional model that can improve students’ awareness and behavior of autonomous learning, as well as to explore the effectiveness and optimization of this model effectively. Taking college English course as a case study, this paper constructs a blended learning mode based on SPOC, which combines advantages of online and offline teaching. 15 types of nonredundant sets resulting from 500 questionnaires has been explored, and the optimal factor combinations have been found out from 15 types with the technology of data mining to optimize the mode constructed previously. Optimized blended learning mode, emphasizing the optimal factors more, has been applied to College English curriculum design and teaching practice in China. Surveys of students’ achievement and autonomous learning behavior have been conducted after experiment. The results of the research indicate that the optimized blended learning mode will stimulate foreign language learners’ learning motivation, cultivate their autonomous learning ability, so as to construct and improve their autonomous learning behavior further.
Keywords	History of scholarship and learning. The humanities ; AZ20-999 ; Social Sciences ; H
Subject code	370
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	SAGE Publishing
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Influence of polycrystalline MoS2 nanoflowers on mouse breast cancer cell proliferation via molten salt sintering

Xue Wang / Mengli Zhao / Jianmin Feng / Dejun Li

Arabian Journal of Chemistry, Vol 16, Iss 4, Pp 104596- (2023)

2023

Abstract: In this paper, polycrystalline molybdenum disulfide (MoS2) nanoflowers were prepared by mixing ammonium molybdate tetrahydrate [(NH4)6Mo7O24·4H2O] and potassium thiocyanate (KSCN) at 300 °C for 2 h via molten salt sintering method. Under scanning ... ...

Abstract	In this paper, polycrystalline molybdenum disulfide (MoS2) nanoflowers were prepared by mixing ammonium molybdate tetrahydrate [(NH4)6Mo7O24·4H2O] and potassium thiocyanate (KSCN) at 300 °C for 2 h via molten salt sintering method. Under scanning electron microscope (SEM) and high-resolution transmission electron microscope (HRTEM), MoS2 showed popcorn-like shape, which surface distribution defects were easy to be further modified. MoS2 as a nano-enzyme was used to inhibit the proliferation of mouse breast cancer cells (4 T1), which had 69.8 % inhibitory effect on 4 T1 cell proliferation. Electron spin resonance (ESR) analysis showed that MoS2 could produce a large number of stable hydroxyl radicals (–OH). The disulfide bond in MoS2 was highly sensitive to reactive oxygen species (ROS). High ROS level leads to the death of cancer cells under oxidative stress and inhibits the proliferation of 4 T1. This work demonstrates that MoS2 is a potential anticancer drug or carrier for cancer treatment.
Keywords	Molybdenum disulfide ; Molten salt sintering ; Nanoflowers ; Mouse breast cancer cells ; Proliferation ; Chemistry ; QD1-999
Language	English
Publishing date	2023-04-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Prevalence and risk factors for anxiety and depression among community dwelling patients with cervical spondylosis during the COVID-19 pandemic

Yuying Chu / Xue Wang / Hongliang Dai

Heliyon, Vol 9, Iss 2, Pp e13497- (2023)

2023

Abstract: Background: The emergence of COVID-19 and its unfavorable consequences lead to disease fear and other related mental health problems for individuals worldwide. This study aimed to analyze the prevalence and relevant factors of anxiety and depression ... ...

Abstract	Background: The emergence of COVID-19 and its unfavorable consequences lead to disease fear and other related mental health problems for individuals worldwide. This study aimed to analyze the prevalence and relevant factors of anxiety and depression among community dwelling cervical spondylosis (CS) patients, and to explore the relationship between fear of COVID-19 and anxiety and depression, so as to provide scientific basis for improving their mental health. Methods: A community-based cross-sectional study was conducted among a cohort of 556 CS patients by using convenient sampling. These participants were asked to complete a demographic questionnaire, the Hospital Anxiety and Depression Scale (HADS), and the Fear of COVID-19 Scale (FCV-19S). The Chi-square test was used to determine the differences among categorical variables. Binary stepwise logistic regression was used to determine predictors of anxiety and depression. Results: The median HADS-A score was 5 (interquartile interval 2–7), and the median HADS-D score was 4 (interquartile interval 2–8). In this study, the prevalence of anxiety and depression was 25.0% and 26.6%, respectively. Gender and comorbid chronic diseases were predictors of depressive symptoms. In addition, fear of COVID-19 was related to depression and anxiety among community dwelling CS patients. Conclusion: Approximately one quarter of community dwelling CS patients were suffering depression or anxiety. Our findings could provide a basis for the development of psychological crisis intervention strategies for CS patients under public health emergencies in the future.
Keywords	Cervical spondylosis ; Anxiety ; Depression ; Fear of COVID-19 ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
Subject code	150
Language	English
Publishing date	2023-02-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Roles of p53-Mediated Host–Virus Interaction in Coronavirus Infection

Xue Wang / Yi Liu / Kaiyuan Li / Zhihui Hao

International Journal of Molecular Sciences, Vol 24, Iss 6371, p

2023 Volume 6371

Abstract: The emergence of the SARS-CoV-2 coronavirus has garnered global attention due to its highly pathogenic nature and the resulting health crisis and economic burden. Although drugs such as Remdesivir have been considered a potential cure by targeting the ... ...

Abstract	The emergence of the SARS-CoV-2 coronavirus has garnered global attention due to its highly pathogenic nature and the resulting health crisis and economic burden. Although drugs such as Remdesivir have been considered a potential cure by targeting the virus on its RNA polymerase, the high mutation rate and unique 3’ to 5’ exonuclease with proofreading function make it challenging to develop effective anti-coronavirus drugs. As a result, there is an increasing focus on host–virus interactions because coronaviruses trigger stress responses, cell cycle changes, apoptosis, autophagy, and the dysregulation of immune function and inflammation in host cells. The p53 tumor suppressor molecule is a critical regulator of cell signaling pathways, cellular stress responses, DNA repair, and apoptosis. However, viruses can activate or inhibit p53 during viral infections to enhance viral replication and spread. Given its pivotal role in cell physiology, p53 represents a potential target for anti-coronavirus drugs. This review aims to summarize the relationship between p53 and coronaviruses from various perspectives, to shed light on potential targets for antiviral drug development and vaccine design.
Keywords	p53 ; coronavirus ; antiviral ; Biology (General) ; QH301-705.5 ; Chemistry ; QD1-999
Subject code	572
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Development and validation of a prediction model for the prolonged length of stay in Chinese patients with lower extremity atherosclerotic disease

Jian Zhang / Yu Yang / Xue Wang / Shuang Zang

BMJ Open, Vol 13, Iss

a retrospective study

2023 Volume 2

Abstract: Objectives This study aims to develop and internally validate a prediction model, which takes account of multivariable and comprehensive factors to predict the prolonged length of stay (LOS) in patients with lower extremity atherosclerotic disease (LEAD). ...

Abstract	Objectives This study aims to develop and internally validate a prediction model, which takes account of multivariable and comprehensive factors to predict the prolonged length of stay (LOS) in patients with lower extremity atherosclerotic disease (LEAD).Design This is a retrospective study.Setting China.Participants, primary and secondary outcomes Data of 1694 patients with LEAD from a retrospective cohort study between January 2014 and November 2021 were analysed. We selected nine variables and created the prediction model using the least absolute shrinkage and selection operator (LASSO) regression model after dividing the dataset into training and test sets in a 7:3 ratio. Prediction model performance was evaluated by calibration, discrimination and Hosmer-Lemeshow test. The effectiveness of clinical utility was estimated using decision curve analysis.Results LASSO regression analysis identified age, gender, systolic blood pressure, Fontaine classification, lesion site, surgery, C reactive protein, prothrombin time international normalised ratio and fibrinogen as significant predictors for predicting prolonged LOS in patients with LEAD. In the training set, the prediction model showed good discrimination using a 500-bootstrap analysis and good calibration with an area under the receiver operating characteristic of 0.750. The Hosmer-Lemeshow goodness of fit test for the training set had a p value of 0.354. The decision curve analysis showed that using the prediction model both in training and tests contributes to clinical value.Conclusion Our prediction model is a valuable tool using easily and routinely obtained clinical variables that could be used to predict prolonged LOS in patients with LEAD and help to better manage these patients in routine clinical practice.
Keywords	Medicine ; R
Subject code	310
Language	English
Publishing date	2023-02-01T00:00:00Z
Publisher	BMJ Publishing Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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