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Article ; Online: Fuzzy information recognition and translation processing in English interpretation based on a generalized maximum likelihood ratio algorithm.

Yin, Li

PeerJ. Computer science

2024 Volume 10, Page(s) e1668

Abstract: English interpretation plays a vital role as a critical link in cross-language communication. However, there are various types of ambiguous information in many interpreting scenarios, such as ambiguity, ambiguous vocabulary, and syntactic structures, ... ...

Abstract	English interpretation plays a vital role as a critical link in cross-language communication. However, there are various types of ambiguous information in many interpreting scenarios, such as ambiguity, ambiguous vocabulary, and syntactic structures, which may lead to inaccuracies and fluency issues in translation. This article proposes a method based on the generalized maximum likelihood ratio algorithm (GLR) to identify and process fuzzy information in English interpretation to improve the quality and efficiency of performance. Firstly, we systematically analyzed the common types of fuzzy information in interpretation and delved into the basic principles and applications of the generalized maximum likelihood ratio algorithm. This algorithm is widely used in natural language processing to solve uncertainty problems and has robust modeling and inference capabilities, making it suitable for handling fuzzy information in interpretation. Then, we propose a fuzzy information recognition model based on the generalized maximum likelihood ratio algorithm. This model utilizes a large-scale interpretation corpus for training and identifies potential fuzzy information in the interpretation process through statistical analysis and pattern recognition. Once fuzzy information is detected, we adopt a series of effective translation processing strategies, including contextual inference and adaptation, to ensure the accuracy and naturalness of interpretation. Finally, we conducted a series of experiments to evaluate the performance of the proposed method. The experimental results show that the fuzzy information recognition and translation processing method based on the generalized maximum likelihood ratio algorithm performs well in different interpretation scenarios, significantly improving the quality and fluency of interpretation and reducing ambiguity caused by fuzzy information.
Language	English
Publishing date	2024-01-31
Publishing country	United States
Document type	Journal Article
ISSN	2376-5992
ISSN (online)	2376-5992
DOI	10.7717/peerj-cs.1668
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Preservación del patrimonio cultural en Tíbet

Yin Li

Turismo y Patrimonio, Iss 15, Pp 45-

situación y perspectivas de futuro del Monasterio de Tholing

2020 Volume 58

Abstract: El Monasterio de Tholing es uno de los monumentos religiosos más importantes del oeste del Tíbet; sus murales muestran el mayor logro artístico de los tibetanos en el contexto cultural y estético en los dos períodos diferentes de la historia tibetana. ... ...

Abstract	El Monasterio de Tholing es uno de los monumentos religiosos más importantes del oeste del Tíbet; sus murales muestran el mayor logro artístico de los tibetanos en el contexto cultural y estético en los dos períodos diferentes de la historia tibetana. Este estudio presenta, en primer lugar, el contexto histórico de este monumento, indicando su importancia en el desarrollo de la historia tibetana; en segundo lugar, el valor histórico y artístico de los murales del Monasterio de Tholing. Se considera que este importante y valioso monumento debe contar con mayor atención para su investigación y preservación; y además, que cumple con los requisitos correspondientes para ser incluido en la Lista de Patrimonio Mundial de la UNESCO. La información y promoción sobre este monumento beneficia la industria turística de la zona.
Keywords	monasterio de tholing ; murales ; arte tibetano ; patrimonio cultural ; turismo ; Hospitality industry. Hotels ; clubs ; restaurants ; etc. Food service ; TX901-946.5 ; Recreation leadership. Administration of recreation services ; GV181.35-181.6
Language	English
Publishing date	2020-09-01T00:00:00Z
Publisher	Universidad de San Martín de Porres
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Self-feedback loop-containing synthetic mRNA switches for controlled microRNA sensing.

Liang, Zhenghua / Tan, Kaixin / Yin Li, Cheuk / Kuang, Yi

Bioorganic chemistry

2024 Volume 144, Page(s) 107081

Abstract: Synthetic mRNA switches are powerful cell fate manipulation tools that sense cellular input molecules to directly control protein expression at the translational level. The lack of available switch designs that can mimic the natural sophisticated protein ...

Abstract	Synthetic mRNA switches are powerful cell fate manipulation tools that sense cellular input molecules to directly control protein expression at the translational level. The lack of available switch designs that can mimic the natural sophisticated protein regulation is a fundamental issue that limits the application of synthetic mRNA switches. Here we report a new set of synthetic mRNA switches by incorporating self-feedback loop machineries to dynamically control protein expression levels upon sensing cellular microRNAs. We redesigned the coding region of the switch to express output protein along with mRNA regulatory proteins. RNA-binding proteins (RBPs) and RBP-binding RNA motifs (aptamers) guide the regulatory proteins to act on their own mRNAs, enhancing or flattening the effect of microRNA sensing. Importantly, we demonstrated that the switches with the positive feedback feature can enlarge a high-or-low microRNA effect into a nearly all-or-none pattern, substantially boosting the use of synthetic mRNA switches as high-performance microRNA sensors or binary cell regulation tools. We believe these novel mRNA switch designs provide new strategies to construct complex mRNA-based genetic circuits for future molecular sensing and cell engineering.
MeSH term(s)	MicroRNAs/genetics ; MicroRNAs/metabolism ; RNA, Messenger/genetics ; RNA, Messenger/metabolism ; Feedback ; Transcription Factors
Chemical Substances	MicroRNAs ; RNA, Messenger ; Transcription Factors
Language	English
Publishing date	2024-01-03
Publishing country	United States
Document type	Journal Article
ZDB-ID	120080-x
ISSN	1090-2120 ; 0045-2068
ISSN (online)	1090-2120
ISSN	0045-2068
DOI	10.1016/j.bioorg.2023.107081
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Article ; Online: Has high-tech cluster improved regional innovation capacity? evidence from Wuhan metropolitan area in China

Jinhong Bao / Yin Li

Frontiers in Environmental Science, Vol

2023 Volume 11

Abstract: As the core of “Rise of Central China” strategy, the regional innovation capacity of the Wuhan Metropolitan Area is the key to enhance the innovation ability of central China and even China. High-tech industries are the key driving force to improving ... ...

Abstract	As the core of “Rise of Central China” strategy, the regional innovation capacity of the Wuhan Metropolitan Area is the key to enhance the innovation ability of central China and even China. High-tech industries are the key driving force to improving regional innovation. Studying the relationship between high-tech clusters and regional innovation capacity helps optimize the spatial layout of regional high-tech industries, upgrade the industrial structure and enhance regional innovation capacity. Based on the panel data of nine cities in the Wuhan Metropolitan Area from 2010–2019, we measure the regional innovation capacity and the degree of high-tech cluster using the super-SBM and locational quotient. Furthermore, we explore the high-tech cluster’s influence on regional innovation capacity by constructing a non-linear panel threshold model and a spatial econometric model. The results showed: 1) The innovation capability of the Wuhan Metropolitan Area shows a “W” type fluctuation upward trend, and the degree of the high-tech cluster is below the quotient level of 1, showing a continuous “M” type trend; 2) There is a non-linear double-threshold effect between high-tech cluster and innovation capacity, and the overall effect of promotion, but there is a marginal decreasing, probably because of the crowding effect or over-competition of the high-tech cluster in some regions; 3) After considering the spatial effect, the impact of the high-tech cluster on the innovation capacity of both local and neighboring regions shows a “U” curve, but the spillover to the neighboring areas is relatively limited. Therefore, to give full play to the advantages of the high-tech cluster, it is necessary to take a long-term view when formulating relevant industrial policies while considering the differences in regional economic development levels and spatial spillover effects.
Keywords	Wuhan metropolitan area ; high-tech cluster ; regional innovation capacity ; panel threshold model ; spatial spillover ; Environmental sciences ; GE1-350
Subject code	339
Language	English
Publishing date	2023-07-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Engineering Rubisco to enhance CO2 utilization

Lei Zhao / Zhen Cai / Yin Li / Yanping Zhang

Synthetic and Systems Biotechnology, Vol 9, Iss 1, Pp 55-

2024 Volume 68

Abstract: Ribulose-1,5-bisphosphate carboxylase/oxygenase (Rubisco) is a pivotal enzyme that mediates the fixation of CO2. As the most abundant protein on earth, Rubisco has a significant impact on global carbon, water, and nitrogen cycles. However, the ... ...

Abstract	Ribulose-1,5-bisphosphate carboxylase/oxygenase (Rubisco) is a pivotal enzyme that mediates the fixation of CO2. As the most abundant protein on earth, Rubisco has a significant impact on global carbon, water, and nitrogen cycles. However, the significantly low carboxylation activity and competing oxygenase activity of Rubisco greatly impede high carbon fixation efficiency. This review first summarizes the current efforts in directly or indirectly modifying plant Rubisco, which has been challenging due to its high conservation and limitations in chloroplast transformation techniques. However, recent advancements in understanding Rubisco biogenesis with the assistance of chaperones have enabled successful heterologous expression of all Rubisco forms, including plant Rubisco, in microorganisms. This breakthrough facilitates the acquisition and evaluation of modified proteins, streamlining the measurement of their activity. Moreover, the establishment of a screening system in E. coli opens up possibilities for obtaining high-performance mutant enzymes through directed evolution. Finally, this review emphasizes the utilization of Rubisco in microorganisms, not only expanding their carbon-fixing capabilities but also holding significant potential for enhancing biotransformation processes.
Keywords	Rubisco ; Plant CO2 fixation ; Microbial ; Carbon fixation pathway ; Synthetic biology ; Enzyme engineering ; Biotechnology ; TP248.13-248.65 ; Biology (General) ; QH301-705.5
Subject code	580
Language	English
Publishing date	2024-03-01T00:00:00Z
Publisher	KeAi Communications Co., Ltd.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Identification of sulfur metabolism-related gene signature in osteoarthritis and TM9SF2's sustenance effect on M2 macrophages' phagocytic activity.

Zheng, Shuang / Li, Yetian / Yin, Li / Lu, Ming

Journal of orthopaedic surgery and research

2024 Volume 19, Issue 1, Page(s) 62

Abstract: Background: Osteoarthritis (OA) is a chronic and low-grade inflammatory disease associated with metabolism disorder and multiple cell death types in the synovial tissues. Sulfur metabolism has not been studied in OA.: Methods: First, we calculated ... ...

Abstract	Background: Osteoarthritis (OA) is a chronic and low-grade inflammatory disease associated with metabolism disorder and multiple cell death types in the synovial tissues. Sulfur metabolism has not been studied in OA. Methods: First, we calculated the single sample gene set enrichment analysis score of sulfur metabolism-associated annotations (i.e., cysteine metabolism process, regulation of sulfur metabolism process, and disulfidptosis) between healthy and synovial samples from patients with OA. Sulfur metabolism-related differentially expressed genes (DEGs) were analyzed in OA. Least absolute shrinkage and selection operator COX regression were used to identify the sulfur metabolism-associated gene signature for diagnosing OA. Correlation and immune cell deconvolution analyses were used to explore the correlated functions and cell specificity of the signature gene, TM9SF2. TM9SF2's effect on the phagocytosis of macrophages M2 was analyzed by coculturing macrophages with IgG-coated beads or apoptotic Jurkat cells. Results: A diagnostic six gene signature (i.e., MTHFD1, PDK4, TM9SF2, POU4F1, HOXA2, NCKAP1) was identified based on the ten DEGs, validated using GSE12021 and GSE1919 datasets. TM9SF2 was upregulated in the synovial tissues of OA at both mRNA and protein levels. The relationship between TM9SF2 and several functional annotations, such as antigen processing and presentation, lysosome, phagosome, Fcγ-mediated phagocytosis, and tyrosine metabolism, was identified. TM9SF2 and macrophages M2 were significantly correlated. After silencing TM9SF2 in THP-1-derived macrophages M2, a significantly reduced phagocytosis and attenuated activation of PLC-γ1 were observed. Conclusion: A sulfur metabolism-associated six-gene signature for OA diagnosis was constructed and upregulation of the phagocytosis-associated gene, TM9SF2, was identified. The findings are expected to deepen our understanding of the molecular mechanism underlying OA development and be used as potential therapeutic targets.
MeSH term(s)	Humans ; Osteoarthritis/genetics ; Osteoarthritis/metabolism ; Synovial Membrane/metabolism ; Macrophages/metabolism ; Up-Regulation ; Sulfur/metabolism ; Membrane Proteins/genetics
Chemical Substances	Sulfur (70FD1KFU70) ; TM9SF2 protein, human ; Membrane Proteins
Language	English
Publishing date	2024-01-13
Publishing country	England
Document type	Journal Article
ZDB-ID	2252548-8
ISSN	1749-799X ; 1749-799X
ISSN (online)	1749-799X
ISSN	1749-799X
DOI	10.1186/s13018-023-04384-2
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Total cholesterol mediates the association between history of gestational diabetes mellitus and bone mineral density in US women aged 20-49 years.

Zeng, Yan / Yin, Li / Yin, Xiaoping / Zhao, Danqing

BMC public health

2024 Volume 24, Issue 1, Page(s) 81

Abstract: Objective: The aim of this study is to investigate the potential association between a history of gestational diabetes mellitus (GDM) and lumbar bone mineral density (BMD) among premenopausal women, with an additional examination of the mediating role ... ...

Abstract	Objective: The aim of this study is to investigate the potential association between a history of gestational diabetes mellitus (GDM) and lumbar bone mineral density (BMD) among premenopausal women, with an additional examination of the mediating role of serum total cholesterol (TC). Methods: In this cross-sectional study, 1809 women aged 20-49 years with at least one live birth between 2011 and 2018, drawn from the NHANES dataset, were analyzed. GDM history was identified through questionnaires. Using weighted multiple linear regression, we assessed the relationship between GDM history and lumbar BMD. Additionally, mediation analysis was performed to investigate the potential mediating role of TC. Results: The fully adjusted linear regression model revealed a negative association between a history of GDM and lumbar BMD, indicating a reduction in lumbar BMD (β = -0.023, 95% CI: -0.043, -0.003, P = 0.0275). Subgroup analysis highlighted a more pronounced trend in individuals aged ≥ 35 years and with a body mass index ≥ 30 kg/m². Furthermore, mediation analysis demonstrated a significant direct effect of a history of GDM on lumbar BMD (P < 0.0001), with serum TC playing a partial mediating role in this interaction (5.33%, P = 0.028). Conclusions: In women aged 20-49 years within the United States, a history of GDM was associated with diminished lumbar BMD, potentially mediated through serum TC.
MeSH term(s)	Female ; Humans ; Pregnancy ; Absorptiometry, Photon ; Bone Density ; Cholesterol ; Cross-Sectional Studies ; Diabetes, Gestational/epidemiology ; Nutrition Surveys ; United States/epidemiology
Chemical Substances	Cholesterol (97C5T2UQ7J)
Language	English
Publishing date	2024-01-03
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2041338-5
ISSN	1471-2458 ; 1471-2458
ISSN (online)	1471-2458
ISSN	1471-2458
DOI	10.1186/s12889-023-17609-0
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Alterations in Adipocytokine Signaling Pathway and Pyroptosis in Neonatal Hypoxic-ischemic Encephalopathy.

Ran, Min / Yin, Li / Guo, Yatu / Zhang, Wei

Current medicinal chemistry

2024

Abstract: Aims: The aims of this study are to discover dysregulated adipocytokine signaling pathway and pyroptosis-related genes to predict neonatal hypoxic-ischemic encephalopathy (HIE) occurrence.: Background: HIE is an important cause of infant death and ... ...

Abstract	Aims: The aims of this study are to discover dysregulated adipocytokine signaling pathway and pyroptosis-related genes to predict neonatal hypoxic-ischemic encephalopathy (HIE) occurrence. Background: HIE is an important cause of infant death and long-term neurological sequelae. Current treatment options for HIE are relatively limited and the pathogenesis of HIE remains to be fully explored. This study investigated the alterations of adipocytokine signaling pathway and pyroptosis in neonatal HIE. Objective: To reveal the alterations of adipocytokine signaling pathway and pyroptosis relevant to HIE occurrence. Methods: Data on neonatal HIE were downloaded from the Gene Expression Omnibus (GEO) database. Pathway analyses of single-sample gene set enrichment analysis (ss- GSEA) and GSEA were performed on the adipocytokine signaling pathway and pyroptosis. Proportions of immune cells in a single sample were also calculated by ssGSEA and CIBERSORT algorithm. The relationship between the adipocytokine signaling pathway and pyroptosis was analyzed according to Pearson correlation analysis. Results: The activities of KEGG pathways changed after the occurrence of HIE, and adipocytokine signaling pathway was activated with related overexpressed genes. For the three energy metabolisms, carbohydrate metabolism was enhanced; lipid metabolism showed increased fatty acids metabolism and decreased ability of fatty acids synthesis; metabolic levels of phosphate and phenylalanine in amino acid metabolism were elevated. Enhanced pyroptosis and relevant overexpressed genes were accompanied by increased immune cells. A positive connection between adipocytokine signaling pathway and pyroptosis was observed. Conclusion: These results indicated that the adipocytokine signaling pathway may promote HIE occurrence by upregulating the expression of pyroptosis-related genes, providing a novel mechanism for HIE.
Language	English
Publishing date	2024-02-16
Publishing country	United Arab Emirates
Document type	Journal Article
ZDB-ID	1319315-6
ISSN	1875-533X ; 0929-8673
ISSN (online)	1875-533X
ISSN	0929-8673
DOI	10.2174/0109298673293975240214091034
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Article ; Online: Turning waste gases into valuables

Huawei Zhu / Yin Li

Synthetic and Systems Biotechnology, Vol 7, Iss 3, Pp 847-

2022 Volume 848

Keywords	Biotechnology ; TP248.13-248.65 ; Biology (General) ; QH301-705.5
Language	English
Publishing date	2022-09-01T00:00:00Z
Publisher	KeAi Communications Co., Ltd.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Aloe-Emodin Ameliorates Diabetic Nephropathy by Targeting Interferon Regulatory Factor 4

Ling Lu / Yin Li

Evidence-Based Complementary and Alternative Medicine, Vol

2022 Volume 2022

Abstract: Diabetic nephropathy (DN) is one of the leading causes of end-stage renal disease and lacks effective clinical treatment for its complicated pathogenesis. In this study, the gene expression profiles downloaded from the GEO database were used to identify ... ...

Abstract	Diabetic nephropathy (DN) is one of the leading causes of end-stage renal disease and lacks effective clinical treatment for its complicated pathogenesis. In this study, the gene expression profiles downloaded from the GEO database were used to identify the key regulatory gene through bioinformatics analyses, and the potential mechanism in regulating DN was revealed via the gene set enrichment analysis, pathway analysis, and in vitro phenotype detection. The effect of the screened drug on DN was analyzed through in vitro and in vivo model experiments. Interferon regulatory factor 4 (IRF4) in DN was identified to be upregulated compared with that in normal control tissues. Further results revealed that IRF4 promoted the DN progression through inflammation, immunity, and extracellular matrix remodeling. The screening results of the TCM library showed that aloe-emodin (Ae) should be a potentially active target drug, and the in vitro and in vivo experiment results demonstrated that Ae could ameliorate DN by targeting IRF4. In conclusion, this study revealed the mechanism of the DN progression and demonstrated that Ae could be a potential target drug in ameliorating DN, providing ideas for the clinical treatments for DN.
Keywords	Other systems of medicine ; RZ201-999
Subject code	570
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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