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Article ; Online: Transboundary ecological network identification for addressing conservation priorities and landscape ecological risks

Li An / Lei Shen / Shuai Zhong / Delong Li

Ecological Indicators, Vol 156, Iss , Pp 111159- (2023)

Insights from the Altai Mountains

2023

Abstract: Insufficient conservation measures and intense human disturbances gave rise to severe landscape ecological risks (LERs) in transboundary areas, highlighting the significance of transboundary ecological networks to maintain ecological functions and ... ...

Abstract	Insufficient conservation measures and intense human disturbances gave rise to severe landscape ecological risks (LERs) in transboundary areas, highlighting the significance of transboundary ecological networks to maintain ecological functions and landscape integrity. However, previous studies mainly concerned ecological networks in inner regions of a country, and various risk factors remain to be incorporated into ecological network identification to clarify the priorities for transboundary conservation. In this study, we took the Altai Mountains in the transboundary areas of China, Kazakhstan, Russia, and Mongolia as the study area, and identified transboundary ecological networks by integrating LER assessment, ecosystem service evaluation and circuit theory. The results showed that the LER was spatially heterogenous with salient risk exposure in China and Mongolia, and risk disturbance was mainly aggregated in Russia. The identified transboundary ecological networks included ecological sources with an area of 1.6 × 105 km2 and ecological corridors with a total length of 1.1 × 104 km, densely distributed in Russia and Kazakhstan. The area proportion of ecological sources not covered by existing protected areas reached 53.8 %, indicating priorities for further conservation. We put forward management zoning in different LER grades to better support conservation actions on ecological sources. Furthermore, suggestions were proposed to conserve ecological corridors in typical landscapes of the Altai Mountains. The results of this study can facilitate transboundary conservation plannings and policies in the Altai Mountains. Simultaneously, it also provides a reference for effective conservation of risked ecosystems and landscapes in other transboundary areas.
Keywords	Transboundary conservation ; Ecological network ; Landscape ecological risk ; Ecosystem service synergies ; Protected area ; Ecology ; QH540-549.5
Subject code	333
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: iTRAQ-Based Quantitative Proteomics Unveils Protein Dynamics in the Root of Solanum melongena L. under Waterlogging Stress Conditions

Xu Yang / Zheng Jiang / Jie He / Lei Shen

Life, Vol 13, Iss 1399, p

2023 Volume 1399

Abstract: Waterlogging poses significant abiotic stress that endangers the survival of plants, including crops. In response, plants dramatically change their physiology to enhance their tolerance to waterlogging, such as proteome reconfiguration. Here, we utilized ...

Abstract	Waterlogging poses significant abiotic stress that endangers the survival of plants, including crops. In response, plants dramatically change their physiology to enhance their tolerance to waterlogging, such as proteome reconfiguration. Here, we utilized isobaric tags for the relative and absolute quantitation (iTRAQ)-based protein labeling technique to examine the proteomic changes induced by waterlogging in the roots of Solanum melongena L., a solanaceous plant. The plants were subjected to 6, 12, and 24 h of waterlogging stress at the flowering stage. Of the 4074 identified proteins, compared to the control, the abundance of the proteins increased and decreased in 165 and 78 proteins, respectively, in 6 h of treatments; 219 and 89 proteins, respectively, in 12 h of treatments; and 126 and 127 proteins, respectively, in 24 h of treatments. The majority of these differentially regulated proteins participated in processes such as energy metabolism, amino acid biosynthesis, signal transduction, and nitrogen metabolism. Fructose–bisphosphate aldolase and three alcohol dehydrogenase genes, in particular, were up- or down-regulated in waterlogging-treated Solanum melongena roots, suggesting that some proteins related to anaerobic metabolism (glycolysis and fermentation) may play vital roles in protecting its roots from waterlogging stress to enable long-term survival. Overall, this research not only offers a comprehensive dataset of protein alterations in waterlogged Solanum melongena roots but also insights into the mechanisms by which solanaceous plants adapt to waterlogging stress.
Keywords	Solanum melongena L ; proteome ; iTRAQ ; waterlogging ; anaerobic metabolism ; Science ; Q
Subject code	580
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: An Information System for Comprehensive Evaluation of Natural Resources and Ecosystem Services Value

Yuefei Su / Shuai Zhong / Li An / Lei Shen / Ding Li

Sustainability, Vol 15, Iss 5247, p

Design and Case Application

2023 Volume 5247

Abstract: The study of natural resources and ecosystem service value assessments is crucial for understanding the direct economic benefits and potential ecological, environmental, and social benefits of these resources. Existing research lacks a comprehensive ... ...

Abstract	The study of natural resources and ecosystem service value assessments is crucial for understanding the direct economic benefits and potential ecological, environmental, and social benefits of these resources. Existing research lacks a comprehensive information management framework design and application exploration for the practice process, and a unified and standardized technical framework has not been established, which makes it difficult to expand the functions in the future. This study uses data from various aspects such as statistical yearbooks, remote sensing satellites, and field studies, and adopts the market value method and alternative cost method to construct a natural resources and ecosystem service value indicator system and a comprehensive evaluation information system, taking Shaanxi Province as an example. The total value of natural resources and ecosystem services in Shaanxi Province is CNY 107.67 trillion, of which the value of natural resources is CNY 105.11 trillion and the value of ecosystem services is CNY 2.56 trillion. This study makes up for the deficiencies in the realization path of the existing natural resources and ecosystem service value accounting studies, solves the problems of a large number of data collection sources, integration of accession criteria, integrated assessment methods, and synchronized assessment updates in natural resources management in Shaanxi Province, and realizes the visualization and information management of natural resources and ecosystem service value accounting.
Keywords	comprehensive evaluation ; natural resources value ; ecosystem services value ; information system ; integrated assessment ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	710
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: Evaluation of coupling coordination development between digital economy and green finance

Zebin Liu / Xiaoheng Zhang / Jingjing Wang / Lei Shen / Enlin Tang

PLoS ONE, Vol 18, Iss 10, p e

Evidence from 30 provinces in China.

2023 Volume 0291936

Abstract: The convergence of China's digital economy and green finance holds great significance for fostering a sustainable and high-quality developmental path. However, existing studies have not explored the coupling coordination development between these two ... ...

Abstract	The convergence of China's digital economy and green finance holds great significance for fostering a sustainable and high-quality developmental path. However, existing studies have not explored the coupling coordination development between these two crucial subsystems. To bridge this gap, this paper employs a modified coupling coordination degree (CCD) model to assess and affirm the coupling coordination degree between the digital economy and green finance across 30 provinces in China from 2015-2021. Based on degree results, provinces are classified into three clusters by using K-means and hierarchical clustering algorithm. Our findings unveil that the current level of coupling coordination development in China is at a primary coordination stage. Although regional disparities significantly exist, the overall level of coordination remains steadily increasing, with the eastern region outperforming the western region. Additionally, we determine that the COVID-19 pandemic's disruption on the coupling coordination development of these systems has been limited. This research sheds light on the evolution of coupling systems and offers practical recommendations for strengthening the coordinated development of the digital economy and green finance.
Keywords	Medicine ; R ; Science ; Q
Subject code	650
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: GSDA

Zhaoshan Liu / Qiujie Lv / Chau Hung Lee / Lei Shen

Heliyon, Vol 9, Iss 9, Pp e19585- (2023)

Generative adversarial network-based semi-supervised data augmentation for ultrasound image classification

2023

Abstract: Medical Ultrasound (US) is one of the most widely used imaging modalities in clinical practice, but its usage presents unique challenges such as variable imaging quality. Deep Learning (DL) models can serve as advanced medical US image analysis tools, ... ...

Abstract	Medical Ultrasound (US) is one of the most widely used imaging modalities in clinical practice, but its usage presents unique challenges such as variable imaging quality. Deep Learning (DL) models can serve as advanced medical US image analysis tools, but their performance is greatly limited by the scarcity of large datasets. To solve the common data shortage, we develop GSDA, a Generative Adversarial Network (GAN)-based semi-supervised data augmentation method. GSDA consists of the GAN and Convolutional Neural Network (CNN). The GAN synthesizes and pseudo-labels high-resolution, high-quality US images, and both real and synthesized images are then leveraged to train the CNN. To address the training challenges of both GAN and CNN with limited data, we employ transfer learning techniques during their training. We also introduce a novel evaluation standard that balances classification accuracy with computational time. We evaluate our method on the BUSI dataset and GSDA outperforms existing state-of-the-art methods. With the high-resolution and high-quality images synthesized, GSDA achieves a 97.9% accuracy using merely 780 images. Given these promising results, we believe that GSDA holds potential as an auxiliary tool for medical US analysis.
Keywords	Semi-supervised learning ; Generative adversarial network ; Convolutional neural network ; Medical image analysis ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
Subject code	006
Language	English
Publishing date	2023-09-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Genome-Wide Identification of Catalase Gene Family and the Function of SmCAT4 in Eggplant Response to Salt Stress

Lei Shen / Xin Xia / Longhao Zhang / Shixin Yang / Xu Yang

International Journal of Molecular Sciences, Vol 24, Iss 23, p

2023 Volume 16979

Abstract: Salinity is an important abiotic stress, damaging plant tissues by causing a burst of reactive oxygen species (ROS). Catalase (CAT) enzyme coded by Catalase (CAT) genes are potent in reducing harmful ROS and hydrogen peroxide (H 2 O 2 ) produced. Herein, ...

Abstract	Salinity is an important abiotic stress, damaging plant tissues by causing a burst of reactive oxygen species (ROS). Catalase (CAT) enzyme coded by Catalase (CAT) genes are potent in reducing harmful ROS and hydrogen peroxide (H 2 O 2 ) produced. Herein, we performed bioinformatics and functional characterization of four SmCAT genes, retrieved from the eggplant genome database. Evolutionary analysis CAT genes revealed that they are divided into subgroups I and II. The RT-qPCR analysis of SmCAT displayed a differential expression pattern in response to abiotic stresses. All the CAT proteins of eggplant were localized in the peroxisome, except for SmCAT4, which localized in the cytomembrane and nucleus. Silencing of SmCAT4 compromised the tolerance of eggplant to salt stress. Suppressed expression levels of salt stress defense related genes SmTAS14 and SmDHN1 , as well as increase of H 2 O 2 content and decrease of CAT enzyme activity was observed in the SmCAT4 silenced eggplants. Our data provided insightful knowledge of CAT gene family in eggplant. Positive regulation of eggplant response to salinity by SmCAT4 provides resource for future breeding programs.
Keywords	eggplant ( Solanum melongena ) ; catalase ; SmCAT4 ; salt stress ; Biology (General) ; QH301-705.5 ; Chemistry ; QD1-999
Subject code	580
Language	English
Publishing date	2023-11-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Exploring Sustainable Fashion Consumption Behavior in the Post-Pandemic Era

Jun Xu / Yun Zhou / Lei Jiang / Lei Shen

Sustainability, Vol 14, Iss 15, p

Changes in the Antecedents of Second-Hand Clothing-Sharing in China

2022 Volume 9566

Abstract: Second-hand consumption of clothing plays a vital role in promoting the overall global trend of low-carbon transition; however, the COVID-19 outbreak put this consumption model into a development dilemma. Cultivating consumers’ sustainable behavior will ... ...

Abstract	Second-hand consumption of clothing plays a vital role in promoting the overall global trend of low-carbon transition; however, the COVID-19 outbreak put this consumption model into a development dilemma. Cultivating consumers’ sustainable behavior will be an effective way to promote the sustainable development of the apparel industry. Based on the unified theory of acceptance and use of technology (UTAUT), this study starts with fashion-sharing behavior and investigates the antecedents that influence consumers’ use of second-hand clothing-sharing platforms in the post-pandemic era. The research background involves the Chinese clothing-sharing market in the growing period. The findings revealed that the pandemic raised people’s awareness of health and hygiene protection. In addition, the cleaning problem of platform clothing has become the primary reason for curbing consumers’ choice of sharing. High-cost performance, high efficiency, and convenience can stimulate consumers to use shared services. Considering that the pandemic has driven consumer economic fluctuations, perceived economic risks could widen the gap between willingness and behavior. In conclusion, platforms must fully realize the transparency of the clothing cleaning and maintenance process, improve their own construction level such as ease of use, convenience, and safety, and incorporate functional clothing-sharing to refine people’s sustainable consumption habits.
Keywords	fashion-sharing ; second-hand clothes ; UTAUT ; clothing rental service ; cleaning issues ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	690
Language	English
Publishing date	2022-08-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: The relationship between adolescent risk perception and emotions during the COVID-19: a short-term longitudinal study.

Xin, Tong-Tong / Li, Xiu-Jun / Lei-Shen / Ding, Wen-Yu / Wei-Liu / Ning-Chen

Current psychology (New Brunswick, N.J.)

2022 , Page(s) 1–10

Abstract: This study explores the relationship between adolescents' perceptions of epidemic risk and their emotions through three follow-up surveys during the early stages of the COVID-19 pandemic on February 11th (T1), 18th (T2), and 25th (T3), 2020. Three ... ...

Abstract	This study explores the relationship between adolescents' perceptions of epidemic risk and their emotions through three follow-up surveys during the early stages of the COVID-19 pandemic on February 11th (T1), 18th (T2), and 25th (T3), 2020. Three hundred and four adolescents in different academic stages (junior high middle school, senior high middle school, and university) participated in the online survey, and cross-lag analysis was used to examine the causal relationship between epidemic risk perceptions and positive and negative emotions. The results found that the individual's positive emotions were significantly higher than the negative emotions in T1, T2 and T3. Cross-lag analysis found that for positive emotions, T2 positive emotions could negatively predict T3 epidemic risk perceptions, and T2 epidemic risk perceptions could negatively predict the individual's T3 positive emotions. For negative emotions, risk perceptions at T1 could positively predict negative emotions at T2, and at the same time, negative emotions at T1 could also positively predict epidemic risk perceptions at T2. This indicates that during the early stages of the COVID-19 pandemic, there was a causal relationship between the perceptions of epidemic risk and the emotions of adolescents, and this relationship had high stability among groups of different genders and academic stages.
Language	English
Publishing date	2022-03-04
Publishing country	United States
Document type	Journal Article
ZDB-ID	2021598-8
ISSN	1936-4733 ; 1046-1310
ISSN (online)	1936-4733
ISSN	1046-1310
DOI	10.1007/s12144-022-02860-2
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: hMSCs Migrate under the Chemotaxis of CXCL-13 and Enhance Islet B Cell Activity through p-AKT Signaling Pathway in High-Glucose Environment

Yongtao Li / Wenshan Bian / Yang Jiang / Danyang Liu / Lei Shen

Journal of Healthcare Engineering, Vol

2022 Volume 2022

Abstract: As a common clinical chronic disease, the incidence of diabetes is increasing year by year. According to the latest statistics from the International Diabetes Federation, as of 2019, the global prevalence of diabetes has reached 8.3%. This study aims to ... ...

Abstract	As a common clinical chronic disease, the incidence of diabetes is increasing year by year. According to the latest statistics from the International Diabetes Federation, as of 2019, the global prevalence of diabetes has reached 8.3%. This study aims to investigate the effect of CXCL-13 on the migration ability of human mesenchymal stem cells (hMSCs) and to clarify the specific molecular mechanism of the protective effect of hMSCs on islet B cells. The hMSCs were cultured in high-glucose environment, and the effect of CXCL-13 on the migration ability of hMSCs was determined by Transwell experiment. After coculture of hMSCs and islet B cells, the activity of cells was detected by CCK8 assay, the expression of Ki-67 in cells was detected by RT-PCR, and the expression of P53 was detected by Western blot to investigate the effect of hMSCs on the proliferation and apoptosis of islet B cells. The effect of hMSCs on the function of islet B cells was determined by glucose stimulated insulin secretion experiment. Transwell experiment results showed that CXCL-13 could promote the migration of hMSCs to islet B cells in high-glucose environment. The results of CCK-8 showed that the cell activity in the coculture group was significantly higher than that of the other groups, and RT-PCR showed that the expression of Ki-67 was significantly increased in the coculture group of hMSCs and islet B cells. The results of Western blot showed that the expression of P53 was significantly decreased in the coculture group, and the glucose stimulated insulin secretion test showed that insulin secretion was significantly increased. It was found that after the inhibition of ATK, cell activity was significantly reduced, and apoptosis was significantly increased. Meanwhile, the expression of Ki-67 was inhibited, the expression of P-53 was significantly increased, and insulin secretion was significantly reduced. To sum up, in a high-glucose environment, CXCL-13 effectively promoted the migration of hMSCs, and hMSCs protected the activity and ...
Keywords	Medicine (General) ; R5-920 ; Medical technology ; R855-855.5
Subject code	571
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Hindawi Limited
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Role of Servitization, Digitalization, and Innovation Performance in Manufacturing Enterprises

Lei Shen / Cong Sun / Muhammad Ali

Sustainability, Vol 13, Iss 9878, p

2021 Volume 9878

Abstract: The structure of the manufacturing industry has forced manufacturing companies to understand the importance of digitalization and servitization transformation, in terms of production and R&D. In this study, we examine the relationship between ... ...

Abstract	The structure of the manufacturing industry has forced manufacturing companies to understand the importance of digitalization and servitization transformation, in terms of production and R&D. In this study, we examine the relationship between servitization, digitization, and enterprise innovation performance through the lens of dynamic capabilities within enterprises. We also discuss the impact of the transformation servitization strategy on business innovation, and the mechanisms by which it impacts business innovation performance. The study’s findings indicate that servitization significantly contributes to innovation performance, and digitalization acts as a mediating mechanism between the proposed relationships. Thus, this article argues for the integration and growth of servitization and digitization.
Keywords	servitization ; digitalization ; dynamic capabilities ; enterprise innovation performance ; PSM-DID ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	650
Language	English
Publishing date	2021-09-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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