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  1. Article ; Online: Function of Innate Lymphoid Cells in Periodontal Tissue Homeostasis

    Zhiyu Ma / Jinsong Wang / Lei Hu / Songlin Wang

    International Journal of Molecular Sciences, Vol 24, Iss 6099, p

    A Narrative Review

    2023  Volume 6099

    Abstract: Periodontitis is an irreversible inflammatory response that occurs in periodontal tissues. Given the size and diversity of natural flora in the oral mucosa, host immunity must strike a balance between pathogen identification and a complicated system of ... ...

    Abstract Periodontitis is an irreversible inflammatory response that occurs in periodontal tissues. Given the size and diversity of natural flora in the oral mucosa, host immunity must strike a balance between pathogen identification and a complicated system of tolerance. The innate immune system, which includes innate lymphoid cells (ILCs), certainly plays a crucial role in regulating this homeostasis because pathogens are quickly recognized and responded to. ILCs are a recently discovered category of tissue-resident lymphocytes that lack adaptive antigen receptors. ILCs are found in both lymphoid and non-lymphoid organs and are particularly prevalent at mucosal barrier surfaces, where they control inflammatory response and homeostasis. Recent studies have shown that ILCs are important players in periodontitis; however, the mechanisms that govern the innate immune response in periodontitis still require further investigation. This review focuses on the intricate crosstalk between ILCs and the microenvironment in periodontal tissue homeostasis, with the purpose of regulating or improving immune responses in periodontitis prevention and therapy.
    Keywords innate immunity ; periodontitis (PD) ; innate lymphoid cells (ILC) ; Biology (General) ; QH301-705.5 ; Chemistry ; QD1-999
    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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  2. Article ; Online: Design of girth welding system based on tungsten inert gas welding

    Lei Chen / Jizhong Liu / Lei Hu

    International Journal of Advanced Robotic Systems, Vol

    2023  Volume 20

    Abstract: This article studies the multi-layer and multi-pass welding of the circumferential weld in the thick pipe welding of an aviation enterprise, based on the static characteristics of the welding arc, through data calculations and experiments to verify the ... ...

    Abstract This article studies the multi-layer and multi-pass welding of the circumferential weld in the thick pipe welding of an aviation enterprise, based on the static characteristics of the welding arc, through data calculations and experiments to verify the relationship between arc voltage and arc length, proposes to use the arc voltage controller to accurately adjust the arc voltage in real time, improve the welding stability, use the welding torch wiggler to expand the welding fusion width, meet the adaptive adjustment of the wide weld, and build the main control system based on programmable logic controller (PLC) control. Integrating all subsystems and put them into the actual production of the enterprise, significantly improves the production efficiency of parts welding, reduces welding defects, and improves the quality of aviation parts.
    Keywords Electronics ; TK7800-8360 ; Electronic computers. Computer science ; QA75.5-76.95
    Language English
    Publishing date 2023-07-01T00:00:00Z
    Publisher SAGE Publishing
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Geospatial Semantics Analysis of the Qinghai–Tibetan Plateau Based on Microblog Short Texts

    Jun Xu / Lei Hu

    ISPRS International Journal of Geo-Information, Vol 10, Iss 682, p

    2021  Volume 682

    Abstract: Place descriptions record qualitative information related to places and their spatial relationships; thus, the geospatial semantics of a place can be extracted from place descriptions. In this study, geotagged microblog short texts recorded in 2017 from ... ...

    Abstract Place descriptions record qualitative information related to places and their spatial relationships; thus, the geospatial semantics of a place can be extracted from place descriptions. In this study, geotagged microblog short texts recorded in 2017 from the Tibetan Autonomous Region and Qinghai Province were used to extract the place semantics of the Qinghai–Tibetan Plateau (QTP). ERNIE, a language representation model enhanced by knowledge, was employed to extract thematic topics from the microblog short texts, which were then geolocated and used to analyze the place semantics of the QTP. Considering the large number of microblogs published by tourists in both Qinghai and Tibet, we separated the texts into four datasets according to the user, i.e., local users in Tibet, tourists in Tibet, local users in Qinghai, and tourists in Qinghai, to explore the place semantics of the QTP from different perspectives. The results revealed clear spatial variability in the thematic topics. Tibet is characterized by travel- and scenery-related language, whereas Qinghai is characterized by emotion, work, and beauty salon-related language. The human cognition of place semantics differs between local residents and tourists, and with a greater difference between the two in Tibet than in Qinghai. Weibo texts also indicate that local residents and tourists are concerned with different aspects of the same thematic topics. The cities on the QTP can be classified into three groups according to their geospatial semantic components, i.e., tourism-focused, life-focused, and religion-focused cities.
    Keywords geospatial semantics ; cognition ; microblog short text ; ERNIE ; Qinghai–Tibetan Plateau ; language representation model ; Geography (General) ; G1-922
    Subject code 910
    Language English
    Publishing date 2021-10-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Positive Solutions to Periodic Boundary Value Problems of Nonlinear Fractional Differential Equations at Resonance

    Lei Hu

    International Journal of Differential Equations, Vol

    2016  Volume 2016

    Abstract: By Leggett-Williams norm-type theorem for coincidences due to O’Regan and Zima, we discuss the existence of positive solutions to fractional order with periodic boundary conditions at resonance. At last, an example is presented to demonstrate the main ... ...

    Abstract By Leggett-Williams norm-type theorem for coincidences due to O’Regan and Zima, we discuss the existence of positive solutions to fractional order with periodic boundary conditions at resonance. At last, an example is presented to demonstrate the main results.
    Keywords Mathematics ; QA1-939 ; Science ; Q
    Language English
    Publishing date 2016-01-01T00:00:00Z
    Publisher Hindawi Publishing Corporation
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Analysis and multiple index evaluation of SPO distribution of bone traction needles for pelvic fracture reduction.

    Yimin, Wei / Jingtao, Lei / Lei, Hu / Lihai, Zhang

    Medical engineering & physics

    2023  Volume 119, Page(s) 104031

    Abstract: For robot-assisted pelvic fracture reduction, at least two bone needles need to be inserted into the ilium of the affected pelvis, and the robot clamping device is connected with the bone needles. The biomechanical properties of the pelvic ... ...

    Abstract For robot-assisted pelvic fracture reduction, at least two bone needles need to be inserted into the ilium of the affected pelvis, and the robot clamping device is connected with the bone needles. The biomechanical properties of the pelvic musculoskeletal tissues are different with the different Spatial Position and Orientation (SPO) of the bone needles. In order to determine the optimal SPO of bone needle pairs, the constraints between the bone needles and the pelvis are analyzed, and the SPO vectors of 150 groups bone needles are obtained by the KNN-hierarchical clustering method; a batch modeling method of bone needles with different SPO is proposed. 150 finite element models of damaged pelvic musculoskeletal tissue with different SPO of bone needles are established and simulated. The stress and strain distribution homogenization of musculoskeletal tissue with bone needles as evaluation index, the simulation results of 150 models are evaluated. Results show that, the anterior superior iliac spine and the anterior inferior iliac spine are suitable regions to place bone needles in the pelvis, and the optimal distribution of the needle combination is found in this region. The overall stress and strain distribution of the damaged pelvic musculoskeletal tissue under the large reduction force is the best.
    MeSH term(s) Humans ; Traction ; Needles ; Pelvis ; Fractures, Bone ; Fracture Fixation
    Language English
    Publishing date 2023-07-23
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1181080-4
    ISSN 1873-4030 ; 1350-4533
    ISSN (online) 1873-4030
    ISSN 1350-4533
    DOI 10.1016/j.medengphy.2023.104031
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: TTNet

    Liangcun Jiang / Feng Li / Li Huang / Feifei Peng / Lei Hu

    Remote Sensing, Vol 15, Iss 4555, p

    A Temporal-Transform Network for Semantic Change Detection Based on Bi-Temporal Remote Sensing Images

    2023  Volume 4555

    Abstract: Semantic change detection (SCD) holds a critical place in remote sensing image interpretation, as it aims to locate changing regions and identify their associated land cover classes. Presently, post-classification techniques stand as the predominant ... ...

    Abstract Semantic change detection (SCD) holds a critical place in remote sensing image interpretation, as it aims to locate changing regions and identify their associated land cover classes. Presently, post-classification techniques stand as the predominant strategy for SCD due to their simplicity and efficacy. However, these methods often overlook the intricate relationships between alterations in land cover. In this paper, we argue that comprehending the interplay of changes within land cover maps holds the key to enhancing SCD’s performance. With this insight, a Temporal-Transform Module (TTM) is designed to capture change relationships across temporal dimensions. TTM selectively aggregates features across all temporal images, enhancing the unique features of each temporal image at distinct pixels. Moreover, we build a Temporal-Transform Network (TTNet) for SCD, comprising two semantic segmentation branches and a binary change detection branch. TTM is embedded into the decoder of each semantic segmentation branch, thus enabling TTNet to obtain better land cover classification results. Experimental results on the SECOND dataset show that TTNet achieves enhanced performance when compared to other benchmark methods in the SCD task. In particular, TTNet elevates mIoU accuracy by a minimum of 1.5% in the SCD task and 3.1% in the semantic segmentation task.
    Keywords semantic change detection ; change relationship ; siamese convolutional neural network ; deep learning ; Science ; Q
    Subject code 006
    Language English
    Publishing date 2023-09-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Which Factors Influence the Regional Difference of Urban–Rural Residential CO 2 Emissions? A Case Study by Cross-Regional Panel Analysis in China

    Zheng Wang / Shaojian Wang / Chuanhao Lu / Lei Hu

    Land, Vol 11, Iss 632, p

    2022  Volume 632

    Abstract: Residential CO 2 emissions (RCE) are an important component of anthropogenic CO 2 emissions. In order to formulate reasonable reduction policies and measures, it is necessary to understand the dynamics of RCE production and the factors that influence it. ...

    Abstract Residential CO 2 emissions (RCE) are an important component of anthropogenic CO 2 emissions. In order to formulate reasonable reduction policies and measures, it is necessary to understand the dynamics of RCE production and the factors that influence it. This paper explores the spatiotemporal evolution characteristics of RCE from the perspectives of eastern, central, and western China, as well as urban–rural areas, and analyzes the factors driving RCE based on the STIRPAT model. The results indicated that between 2010 and 2019 the eastern region contributed the greatest proportion of overall RCE and the central region saw the largest increase. Per capita RCE in urban areas was greater than in rural areas, except in eastern China. The factors affecting RCE showed regional and urban–rural differences. Population size and income per capita were two dominant factors affecting RCE for all regions. The per capita income plays a more important role in developed regions such as eastern regions and eastern urban areas. Urbanization contributed to RCE reduction in the eastern region but promoted RCE in the central and western regions. Energy structure shows a negative effect on RCE, particularly in central urban and western rural areas. Appropriate policies and measures need to be put forward to local conditions. Reduction policies and measures of each region and urban–rural area need to be based on the dominant factors driving CO 2 emissions.
    Keywords residential CO 2 emissions ; spatiotemporal characteristics ; driving factors ; regional differences ; urban–rural disparity ; Agriculture ; S
    Subject code 910
    Language English
    Publishing date 2022-04-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: IRA-MRSNet

    Jie Ling / Lei Hu / Lang Cheng / Minghui Chen / Xin Yang

    Remote Sensing, Vol 14, Iss 5598, p

    A Network Model for Change Detection in High-Resolution Remote Sensing Images

    2022  Volume 5598

    Abstract: Deep learning (DL)-based change detection (CD) methods for high-resolution (HR) remote sensing images can still be improved by effective acquisition of multi-scale feature and accurate detection of the edge of change regions. We propose a new end-to-end ... ...

    Abstract Deep learning (DL)-based change detection (CD) methods for high-resolution (HR) remote sensing images can still be improved by effective acquisition of multi-scale feature and accurate detection of the edge of change regions. We propose a new end-to-end CD network, named the Multi-Scale Residual Siamese Network fusing Integrated Residual Attention (IRA-MRSNet), which adopts an encoder-decoder structure, introduces the Multi-Res block to extract multi-scale features and deep semantic information, and uses the Attention Gates module before the skip connection to highlight the change region features. Considering that the residual connection and attention module benefits the edge feature extraction, we proposed an IRA unit, consisting of the Res2net + module, the Split and Concat (SPC) module, and the Channel Attention Module (CAM), which can make the CD results better through finer-grained multi-scale feature extraction and adaptive feature refinement of the feature map channel dimension. The experimental results show that the F 1 and OA values of our network model outperform other state-of-the-art (SOTA) CD methods on the Seasonal Change Detection Dataset (CDD) and the Sun Yat-Sen University Change Detection Dataset (SYSU-CD), and the number of parameters and the calculated amount are reduced significantly.
    Keywords high-resolution remote sensing images ; change detection ; IRA unit ; Multi-Res block ; Attention Gates module ; Science ; Q
    Subject code 600
    Language English
    Publishing date 2022-11-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Three-Dimensional Cell Co-Culture Liver Models and Their Applications in Pharmaceutical Research

    Yinping Ma / Lei Hu / Jianhua Tang / Weiwei Guo / Yujie Feng / Yanmiao Liu / Fushan Tang

    International Journal of Molecular Sciences, Vol 24, Iss 6248, p

    2023  Volume 6248

    Abstract: As the primary site for the biotransformation of drugs, the liver is the most focused on organ type in pharmaceutical research. However, despite being widely used in pharmaceutical research, animal models have inherent species differences, while two- ... ...

    Abstract As the primary site for the biotransformation of drugs, the liver is the most focused on organ type in pharmaceutical research. However, despite being widely used in pharmaceutical research, animal models have inherent species differences, while two-dimensional (2D) liver cell monocultures or co-cultures and three-dimensional (3D) liver cell monoculture in vitro liver models do not sufficiently represent the complexity of the human liver’s structure and function, making the evaluation results from these tools less reliable. Therefore, there is a pressing need to develop more representative in vitro liver models for pharmaceutical research. Fortunately, an exciting new development in recent years has been the emergence of 3D liver cell co-culture models. These models hold great promise as in vitro pharmaceutical research tools, because they can reproduce liver structure and function more practically. This review begins by explaining the structure and main cell composition of the liver, before introducing the potential advantages of 3D cell co-culture liver models for pharmaceutical research. We also discuss the main sources of hepatocytes and the 3D cell co-culture methods used in constructing these models. In addition, we explore the applications of 3D cell co-culture liver models with different functional states and suggest prospects for their further development.
    Keywords liver ; 3D cell co-culture ; HepaRG ; liver sinusoidal endothelial cells ; in vitro models ; pharmaceutical research ; Biology (General) ; QH301-705.5 ; Chemistry ; QD1-999
    Subject code 571
    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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  10. Article ; Online: The roles and molecular mechanisms of long non-coding RNA WT1-AS in the maintenance and development of gastric cancer stem cells

    Xiaobei Zhang / Meng Jin / Shiqi Liu / Mingde Zang / Lei Hu / Tao Du / Baogui Zhang

    Heliyon, Vol 9, Iss 4, Pp e14655- (2023)

    2023  

    Abstract: It has been proposed that cancer stem cells (CSCs) are responsible for almost all malignant phenotypes of tumors. Long non-coding RNA WT1 antisense RNA (WT1-AS) has been found to be implicated in lung cancer cell stemness. However, the roles and ... ...

    Abstract It has been proposed that cancer stem cells (CSCs) are responsible for almost all malignant phenotypes of tumors. Long non-coding RNA WT1 antisense RNA (WT1-AS) has been found to be implicated in lung cancer cell stemness. However, the roles and molecular mechanisms of WT1-AS in the development of gastric cancer stem cells (GCSCs) remain unknown. Our present study showed that WT1-AS negatively regulated WT1 expression in GCSCs. WT1-AS knockdown or Wilms’ tumor 1 (WT1) overexpression improved GCSC proliferative and migratory capacities, inhibited GCSC apoptosis, potentiated the resistance of GCSCs to 5-FU, promoted GCSC EMT, induced HUVEC angiogenesis, enhanced GCSC stemness, and facilitated in-vitro 3D GCSC aggregate formation. WT1-AS overexpression exerted reverse effects. WT1-AS ameliorated the malignant phenotypes of GCSCs by down-regulating WT1 in vitro. WT1-AS inhibited tumor growth and metastasis, and reduced tumor stemness in GCSCs-derived (s.c., i.p., and i.v.) xenografts in vivo. Moreover, XBP1 was identified as an upstream regulator of WT1-AS in GCSCs. Also, 4 potential WT1-AS downstream targets (i.e. PSPH, GSTO2, FYN, and PHGDH) in GCSCs were identified. Additionally, CACNA2D1 was demonstrated to be a downstream target of the WT1-AS/WT axis. XBP1 or CACNA2D1 knockdown exerted an adverse effect on the maintenance of stem cell-like behaviors and characteristics of GCSCs. In conclusion, WT1-AS weakened the stem cell-like behaviors and characteristics of GCSCs in vitro and in vivo by down-regulating WT1. Investigations into the molecular mechanisms underlying the complex phenotypes of GCSCs might contribute to the better management of gastric cancer.
    Keywords Gastric cancer stem cells ; Growth ; Metastasis ; WT1-AS ; RNA sequencing ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
    Subject code 571
    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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