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Article ; Online: Re: Ling L and Li X. A dorsalis pedis venous flap containing a U-shaped venous arch for the reconstruction of fingertip defects. J Hand Surg Eur. 2022. DOI: 10.1177/17531934221098064.

Ling, Li

The Journal of hand surgery, European volume

2022 Volume 48, Issue 1, Page(s) 75–76

MeSH term(s)	Humans ; Surgical Flaps ; Plastic Surgery Procedures ; Foot ; Fingers
Language	English
Publishing date	2022-11-17
Publishing country	England
Document type	Letter ; Comment
ZDB-ID	2272801-6
ISSN	2043-6289 ; 1753-1934
ISSN (online)	2043-6289
ISSN	1753-1934
DOI	10.1177/17531934221137782
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Article ; Online: Pressure, state and response

Ruiyi Zhao / Ling Li

Humanities & Social Sciences Communications, Vol 10, Iss 1, Pp 1-

configurational analysis of organizational resilience in tourism businesses following the COVID-19 pandemic crisis

2023 Volume 19

Abstract: Abstract Organizational resilience is key for tourism companies in coping with crises; however, little is known about how tourism companies can become more resilient. Furthermore, much of the empirical evidence in the extant literature comes from ... ...

Abstract	Abstract Organizational resilience is key for tourism companies in coping with crises; however, little is known about how tourism companies can become more resilient. Furthermore, much of the empirical evidence in the extant literature comes from developed countries. The study identifies key factors affecting organizational resilience based on a “resource–capacity-relationship” theoretical framework, incorporating the number of COVID-19 cases as an external factor in the stress-state-response (PSR) model, with the epidemic as pressure, corporate governance, and redundant resources as the enterprise state, and CSR performance as the response. The fsQCA method was used to analyse the interaction and joint effects among multisource influencing factors such as pressure, state and response. Based on an empirical analysis of 35 listed tourism companies in China from 2010 to 2020, the research found the following: (1) Four groupings of high organizational resilience: redundant resource deficit under epidemic pressure with high pay incentive compensation, low financial risk, and CSR driven under low epidemic pressure, resource deployment and CSR driven under low financial risk and CSR driven under low financial risk. Of these, CSR at the response level as a core condition is key to developing high organizational resilience. (2) Corporate governance capabilities play a high role in fostering organizational resilience under epidemic pressure and can compensate for organizational deficiencies in resources and relationships. (3) Under specific objective endowment conditions, unabsorbed redundant resources and absorbed redundant resources can substitute to some extent for deficiencies in capabilities and relationships. (4) The low organizational resilience configurations suggest that potentially redundant resources may be the key to low organizational resilience. CSR is not the ‘golden key’ to organizational resilience but is influenced by redundant resources. Furthermore, the key variables affecting organizational ...
Keywords	History of scholarship and learning. The humanities ; AZ20-999 ; Social Sciences ; H
Subject code	650
Language	English
Publishing date	2023-07-01T00:00:00Z
Publisher	Springer Nature
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: "GLOCALIZATION" OF SHAOXING CITY IN CHINA

Ling LI

Social Sciences and Education Research Review, Vol 6, Iss 2, Pp 174-

2019 Volume 197

Abstract: Department of College English Zhejiang Yuexiu University of Foreign Languages, ... ...

Abstract	Department of College English Zhejiang Yuexiu University of Foreign Languages, China
Keywords	textile ; glocalization ; china ; word association test ; semi-structured interview ; cultural exchanges ; Education (General) ; L7-991 ; Social sciences (General) ; H1-99
Language	English
Publishing date	2019-11-01T00:00:00Z
Publisher	Editura Sitech
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Health service behaviors of migrants: A conceptual framework.

Peng, Boli / Ling, Li

Frontiers in public health

2023 Volume 11, Page(s) 1043135

Abstract: Universal health coverage is vital to the World Health Organization's (WHO's) efforts to ensure access to health as a human right. However, it has been reported that migrants, including both international immigrants and internal migrants, underuse health ...

Abstract	Universal health coverage is vital to the World Health Organization's (WHO's) efforts to ensure access to health as a human right. However, it has been reported that migrants, including both international immigrants and internal migrants, underuse health services. Establishing a conceptual framework to facilitate research on the health service behaviors (HSB) of migrants is particularly important. Many theoretical frameworks explaining the general population's HSB have been published; however, most theoretical frameworks on migrants' HSB only focus on international immigrants without the inclusion of internal migrants. Of note, internal migrants are much more abundant than immigrants, and this group faces similar barriers to HSB as immigrants do. Based on theoretical frameworks of immigrants' HSB and Anderson's behavior model, the author proposes a new conceptual framework of migrants' HSB that includes both immigrants and internal migrants. The new conceptual framework divides the determinants into macro-structural or contextual factors, health delivery system characteristics, and characteristics of the population at risk and describes subgroup-specific factors. The author added some variables and reclassified variables in some dimensions, including characteristics of health delivery systems and access to healthcare. The characteristics of health delivery systems comprise the volume, organization, quality, and cost of the health delivery system, while the characteristics of access to healthcare include time accessibility, geographic accessibility, and information accessibility. The outcomes of HSB have been expanded, and relationships between them have been reported. The mediating effects of some variables have also been described. This conceptual framework can facilitate a deep and comprehensive understanding of the HSB determination process for migrants, including internal migrants.
MeSH term(s)	Humans ; Transients and Migrants ; Health Services Accessibility ; Health Services ; Health Behavior ; Emigrants and Immigrants
Language	English
Publishing date	2023-04-14
Publishing country	Switzerland
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2711781-9
ISSN	2296-2565 ; 2296-2565
ISSN (online)	2296-2565
ISSN	2296-2565
DOI	10.3389/fpubh.2023.1043135
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Article ; Online: Comparative and phylogenetic analyses of the chloroplast genomes of Filipendula species (Rosoideae, Rosaceae).

Zhang, Shu-Dong / Ling, Li-Zhen

Scientific reports

2023 Volume 13, Issue 1, Page(s) 17748

Abstract: Genus Filipendula (Rosoideae, Rosaceae) comprises about 15 species and mainly distributed in Northern Hemisphere. The phylogenetic relationships based on the nrITS marker are not consistent with the traditional taxonomic systems of the genus. Here, we ... ...

Abstract	Genus Filipendula (Rosoideae, Rosaceae) comprises about 15 species and mainly distributed in Northern Hemisphere. The phylogenetic relationships based on the nrITS marker are not consistent with the traditional taxonomic systems of the genus. Here, we first analysed the complete chloroplast (cp) genomes of seven Filipendula species (including two varieties of F. palmate). Our results indicated that the cp genomes of Filipendula species had few changes in size, ranging from 154,205 bp to 154,633 bp and the average of 36.63% GC content. A total of 126 annotated genes had the identical order and orientation, implying that the cp genome structure of Filipendula species was rather conserved. However, the cp genomes of Filipendula species exhibited structural differences, including gene loss, transposition and inversion when compared to those of other genera of Rosoideae. Moreover, SSRs with the different number were observed in the cp genome of each Filipendula species and sequence divergence mainly occurred in noncoding regions, in which four mutational hotspots were identified. In contrast, only two positive selection genes (matK and rps8) were found. Phylogenetic and molecular-dating analysis indicated that Filipendula species were divergent from other genera of Rosoideae at about 82.88 Ma. Additionally, Filipendula species from East Asia were split at about 9.64 Ma into two major clades. These results provide a basis for further studying the infrageneric classification of Filipendula.
MeSH term(s)	Phylogeny ; Filipendula ; Rosaceae/genetics ; Chloroplasts/genetics ; Genome, Chloroplast
Language	English
Publishing date	2023-10-18
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-023-45040-3
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Article ; Online: Omental flap used in breast reconstruction prevents lymphedema and provides aesthetic outcomes.

Li, Li / Lu, Ling-Li

Asian journal of surgery

2023 Volume 46, Issue 9, Page(s) 3815–3817

MeSH term(s)	Humans ; Female ; Mammaplasty ; Lymphedema/surgery ; Esthetics ; Breast Neoplasms/surgery
Language	English
Publishing date	2023-04-04
Publishing country	Netherlands
Document type	Letter
ZDB-ID	1068461-x
ISSN	0219-3108 ; 1015-9584
ISSN (online)	0219-3108
ISSN	1015-9584
DOI	10.1016/j.asjsur.2023.03.114
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Article ; Online: Museum Relic Image Detection and Recognition Based on Deep Learning

Qi Wang / Ling Li

Computational Intelligence and Neuroscience, Vol

2022 Volume 2022

Abstract: To improve the accuracy of museum cultural relic image recognition, the DenseNet and ResNet are selected as the backbone neural networks for detection and recognition. In view of the small target problem in cultural relics, the feature pyramid is ... ...

Abstract	To improve the accuracy of museum cultural relic image recognition, the DenseNet and ResNet are selected as the backbone neural networks for detection and recognition. In view of the small target problem in cultural relics, the feature pyramid is introduced in this paper to improve the DenseNet method. The accuracy of target detection is improved through multiscale feature extraction and fusion. At the same time, aiming the problem of weak robustness and feature extraction of cultural relic images, the attention mechanism is proposed to improve ResNet. Therefore, this network can pay attention to the key of feature areas in the image. Finally, the aforementioned methods are verified by experiments. The results show that compared with the YOLOv3 and other algorithms, the accuracy of the improved ResNet proposed in this experiment is above 90%. Furthermore, the number of missed and erroneous detection is the lowest, which are 171 and 134, respectively. The identified mAP indicator accuracy can reach 86%, which also exceeds SVD-Net and DenseNet. It can be seen that the constructed method can effectively detect and recognize the museum cultural relic images.
Keywords	Computer applications to medicine. Medical informatics ; R858-859.7 ; Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571
Subject code	006
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: PIK3CA regulates development of diabetes retinopathy through the PI3K/Akt/mTOR pathway

Ruijuan Guan / Zefeng Kang / Ling Li / Xin Yan / Tianpeng Gao

PLoS ONE, Vol 19, Iss

2024 Volume 1

Keywords	Medicine ; R ; Science ; Q
Language	English
Publishing date	2024-01-01T00:00:00Z
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: Pan-cancer analysis identified IGF2BP2 as a potential prognostic biomarker for multiple tumor types

Hong-Lu Zhou / Dan-Dan Chen / Xiu-Ling Li

Egyptian Journal of Medical Human Genetics, Vol 25, Iss 1, Pp 1-

2024 Volume 15

Abstract: Abstract Background Insulin-like growth factor 2 (IGF2) mRNA-binding proteins 2 (IGF2BP2/IMP2), an RNA-binding protein encoded by the IGF2BP2 gene, exerts its influence across diverse pathological pathways. While accumulating evidence underscores the ... ...

Abstract	Abstract Background Insulin-like growth factor 2 (IGF2) mRNA-binding proteins 2 (IGF2BP2/IMP2), an RNA-binding protein encoded by the IGF2BP2 gene, exerts its influence across diverse pathological pathways. While accumulating evidence underscores the potential significance of IGF2BP2 in the tumorigenesis of specific cancers, a comprehensive pan-cancer investigation into its role remains absent. Methods Consequently, we conducted an exhaustive exploration employing a multitude of databases to elucidate the plausible oncogenic implications of IGF2BP2. This encompassed a comprehensive scrutiny of its expression profiles, prognostic implications, association with cancer-associated fibroblast infiltration, biological functionality in distinct tumor contexts, and plausible correlations with drug sensitivities. Results Our findings showed that IGF2BP2 was highly expressed in some types of cancers, but presented at low levels in several cancer types. Furthermore, the role of IGF2BP2 in predicting prognosis exhibited a dichotomous interplay across varied cancer types. Remarkably, observations unveiled the cancer-associated fibroblast infiltration within specific tumors, notably encompassing breast invasive carcinoma of the luminal A subtype, kidney renal clear cell carcinoma, ovarian serous cystadenocarcinoma, pheochromocytoma and paraganglioma, and prostate adenocarcinoma, and thymoma. Intriguingly, gene enrichment analyses spotlighted the co-expression of IGF2BP2 with genes implicated in pivotal biological processes, including DNA replication and recombinational repair. Conclusion Our investigation intricately unveils the potential of IGF2BP2 as a versatile prognostic biomarker across diverse tumor categories. This study bridges existing knowledge gaps and augments the understanding of IGF2BP2’s intricate involvement in tumorigenesis, underscoring its significance as a prospective avenue for therapeutic intervention.
Keywords	IGF2BP2 ; Prognosis ; Pan-cancer ; Biomarker ; Immune infiltration ; Medicine (General) ; R5-920 ; Genetics ; QH426-470
Subject code	616
Language	English
Publishing date	2024-01-01T00:00:00Z
Publisher	SpringerOpen
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Comparative Analysis of Time Series Prediction Algorithms on Multiple Network Function Data of NWDAF

Dasheng Chen / Qi Song / Yinbin Zhang / Ling Li / Zhiming Yang

International Journal of Distributed Sensor Networks, Vol

2024 Volume 2024

Abstract: With the emergence and vigorous development of 5G technology, there is a significant surge in network usage and traffic, resulting in heightened complexity within network and IT environments. This exponential increase in activity produces a plethora of ... ...

Abstract	With the emergence and vigorous development of 5G technology, there is a significant surge in network usage and traffic, resulting in heightened complexity within network and IT environments. This exponential increase in activity produces a plethora of events, making conventional systems inadequate for the efficient management of 5G networks. In comparison to 4G technology, 5G technology brings forth a host of new features, one of which is the network data analytics function (NWDAF). This function grants network operators the flexibility to either employ their own data analytics methodologies based on machine learning (ML) and deep learning (DL) into their networks. In this paper, we present a dataset named “NWDAF-NFPP” for network function performance time series prediction, collected from a laboratory at China Telecom. The dataset is carefully anonymized to ensure maximum realism and comprehensiveness, while safeguarding sensitive information. It encompasses eight categories of network functions, with data collected at five-minute intervals. The availability of this dataset provides valuable resources for researchers to conduct time series prediction research on network element performance. Following data collection, a total of six models were employed for network element performance prediction, encompassing both machine learning and deep learning approaches. This diverse set of models was carefully chosen to ensure comprehensive coverage of different techniques and algorithms. Through the comparison and analysis of these models, we aim to evaluate their predictive capabilities and identify the most effective approach for network element performance prediction. This comparative analysis will provide valuable insights into the strengths and limitations of each model, aiding in informed decision-making for network optimization and management strategies in the future.
Keywords	Electronic computers. Computer science ; QA75.5-76.95
Subject code	006
Language	English
Publishing date	2024-01-01T00:00:00Z
Publisher	Hindawi - SAGE Publishing
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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