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  1. Article ; Online: Important amino acid residues of hexachlorocyclohexane dehydrochlorinases (LinA) for enantioselective transformation of hexachlorocyclohexane isomers.

    Shrivastava, Nidhi / Macwan, Ankit S / Kohler, Hans-Peter E / Kumar, Ashwani

    Biodegradation

    2017  Volume 28, Issue 2-3, Page(s) 171–180

    Abstract: LinA-type1 and LinA-type2 are two well-characterized variants of the enzyme 'hexachlorocyclohexane ... and T133) in LinA-type1 that could be involved in selective binding of the substrates. Experimental ... in LinA-type1, i.e. K20Q, L96C, and A131G, caused a reversal in its preference ...

    Abstract LinA-type1 and LinA-type2 are two well-characterized variants of the enzyme 'hexachlorocyclohexane (HCH)-dehydrochlorinase'. They differ from each other at ten amino acid positions and exhibit differing enantioselectivity for the transformation of the (-) and (+) enantiomers of α-HCH. Amino acids responsible for this enantioselectivity, however, are not known. An in silico docking analysis identified four amino acids (K20, L96, A131, and T133) in LinA-type1 that could be involved in selective binding of the substrates. Experimental studies with constructed mutant enzymes revealed that a combined presence of three amino acid changes in LinA-type1, i.e. K20Q, L96C, and A131G, caused a reversal in its preference from the (-) to the (+) enantiomer of α-HCH. This preference was enhanced by the additional amino acid change T133 M. Presence of these four changes also caused the reversal of enantioselectivity of LinA-type1 for δ-HCH, and β-, γ-, and δ-pentachlorocyclohexens. Thus, the residues K20, L96, A131, and T133 in LinA-type1 and the residues Q20, C96, G131, and M133 in LinA-type 2 appear to be important determinants for the enantioselectivity of LinA enzymes.
    MeSH term(s) Amino Acids/chemistry ; Biodegradation, Environmental ; Chromatography, Gas ; Lindane/chemistry ; Lindane/metabolism ; Lyases/chemistry ; Lyases/genetics ; Lyases/metabolism ; Mutant Proteins/metabolism ; Mutation/genetics ; Stereoisomerism ; Structure-Activity Relationship
    Chemical Substances Amino Acids ; Mutant Proteins ; alpha-hexachlorocyclohexane (319-84-6) ; delta-hexachlorocyclohexane (319-86-8) ; Lindane (59NEE7PCAB) ; Lyases (EC 4.-) ; dehydrochlorinases (EC 4.5.-)
    Language English
    Publishing date 2017-06
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1056014-2
    ISSN 1572-9729 ; 0923-9820
    ISSN (online) 1572-9729
    ISSN 0923-9820
    DOI 10.1007/s10532-017-9786-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Clinical Efficacy of Sun's Abdominal Acupuncture Combined with CBTI in Treating Chronic Insomnia with Anxiety.

    Zhiyuan, He / Lina, Qin

    Alternative therapies in health and medicine

    2024  

    Abstract: Objective: This study aims to evaluate the clinical efficacy of Sun's abdominal acupuncture combined with cognitive behavioral therapy (CBTI) in the treatment of chronic insomnia with anxiety.: Methods: A total of 86 patients diagnosed with chronic ... ...

    Abstract Objective: This study aims to evaluate the clinical efficacy of Sun's abdominal acupuncture combined with cognitive behavioral therapy (CBTI) in the treatment of chronic insomnia with anxiety.
    Methods: A total of 86 patients diagnosed with chronic insomnia and anxiety were selected from October 2022 to September 2023. Patients were divided into two groups: the cognitive therapy group (treated with CBTI alone) and the combined therapy group (treated with Sun's abdominal acupuncture combined with CBTI). Various parameters including insomnia severity (measured by ISI score), sleep quality (assessed by PSQI score), polysomnography (PSG) results (including sleep duration, latency, wake time, and efficiency), cognitive function (MMSE score), anxiety symptoms (HAM-A score), and insomnia efficacy and anxiety efficacy were compared between the two groups.
    Results: The combined therapy group exhibited significantly lower ISI and PSQI scores compared to the cognitive therapy group (P < .05). PSG results showed increased sleep duration, decreased latency and wake time, and higher sleep efficiency in the combined therapy group (P < .05). Moreover, MMSE and HAM-A scores were significantly lower in the combined therapy group (P < .05). The total effective rate for both insomnia and anxiety efficacy were higher in the combined therapy group compared to the cognitive therapy group (P < .05).
    Conclusions: Sun's abdominal acupuncture combined with CBTI demonstrates superior clinical efficacy in the management of chronic insomnia with anxiety. This combined approach not only reduces insomnia severity and improves sleep quality but also enhances cognitive function and reduces anxiety symptoms. Overall, the efficacy of combined therapy surpasses that of CBTI alone, suggesting its potential for widespread clinical adoption and application.
    Language English
    Publishing date 2024-04-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1225073-9
    ISSN 1078-6791
    ISSN 1078-6791
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Scrotal small-incision to remove the testicular appendage for the treatment of patients with testicular appendage torsion: An experience of 230 cases.

    Shi, Jizhou / Chen, Zedong / Zhang, Lina / Li, He

    Asian journal of surgery

    2024  Volume 47, Issue 4, Page(s) 2012–2013

    MeSH term(s) Male ; Humans ; Spermatic Cord Torsion/surgery ; Testis/surgery ; Scrotum/surgery
    Language English
    Publishing date 2024-01-19
    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.2023.12.208
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Identification of two novel HLA-DRB1 alleles, HLA-DRB1*08:03:13 and HLA-DRB1*08:119.

    He, Yizhen / Dong, Lina / Chen, Nanying / Zhang, Wei / Zhu, Faming

    HLA

    2024  Volume 103, Issue 4, Page(s) e15462

    Abstract: Compared with HLA-DRB1*08:03:02:01, the alleles HLA-DRB1*08:03:13 and HLA-DRB1*08:119 each show one nucleotide substitution, respectively. ...

    Abstract Compared with HLA-DRB1*08:03:02:01, the alleles HLA-DRB1*08:03:13 and HLA-DRB1*08:119 each show one nucleotide substitution, respectively.
    MeSH term(s) Humans ; Alleles ; HLA-DRB1 Chains/genetics ; Nucleotides
    Chemical Substances HLA-DRB1 Chains ; Nucleotides
    Language English
    Publishing date 2024-04-03
    Publishing country England
    Document type Journal Article
    ZDB-ID 2845111-9
    ISSN 2059-2310 ; 2059-2302
    ISSN (online) 2059-2310
    ISSN 2059-2302
    DOI 10.1111/tan.15462
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Identification of the novel HLA-DPA1*02:02:15 allele by next-generation sequencing.

    Dong, Lina / Chen, Chen / He, Yizhen / Zhang, Wei / Zhu, Faming

    HLA

    2024  Volume 103, Issue 4, Page(s) e15469

    Abstract: The novel HLA-DPA1*02:02:15 allele differs from HLA-DPA1*02:02:02:01 by one nucleotide substitution in exon 1. ...

    Abstract The novel HLA-DPA1*02:02:15 allele differs from HLA-DPA1*02:02:02:01 by one nucleotide substitution in exon 1.
    MeSH term(s) Humans ; Alleles ; Histocompatibility Testing ; HLA-DP alpha-Chains/genetics ; High-Throughput Nucleotide Sequencing
    Chemical Substances HLA-DPA1 antigen ; HLA-DP alpha-Chains
    Language English
    Publishing date 2024-04-04
    Publishing country England
    Document type Journal Article
    ZDB-ID 2845111-9
    ISSN 2059-2310 ; 2059-2302
    ISSN (online) 2059-2310
    ISSN 2059-2302
    DOI 10.1111/tan.15469
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Research on rice disease recognition based on improved SPPFCSPC-G YOLOv5 network

    Bo Yang / Lina Zhang / Jinping He

    PLoS ONE, Vol 18, Iss

    2023  Volume 12

    Keywords Medicine ; R ; Science ; Q
    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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  7. Article ; Online: The power of attention: Government climate-risk attention and agricultural-land carbon emissions.

    Chen, Minghao / Xiao, Hongyu / Zhao, He / Liu, Lina

    Environmental research

    2024  Volume 251, Issue Pt 2, Page(s) 118661

    Abstract: Climate change is a common challenge faced by all humanity. Promoting emission and carbon reduction in agricultural land is the most important priority for addressing climate change and realizing sustainable development. Based on data from 296 prefecture- ...

    Abstract Climate change is a common challenge faced by all humanity. Promoting emission and carbon reduction in agricultural land is the most important priority for addressing climate change and realizing sustainable development. Based on data from 296 prefecture-level cities in China from 2011 to 2021, this study utilizes machine-learning and text-analysis methods to construct an indicator of government climate-risk attention (GCRA). It combines a two-way fixed-effects model to investigate how GCRA affects agricultural-land carbon emissions (ALCE) and carbon intensity (ALCI) and the mechanism of the impact. The results indicate that (1) GCRA substantially reduces ALCE and ALCI, and the conclusions are robust to a battery of tests. Furthermore, (2) mechanism analysis reveals that GCRA primarily uses three mechanisms-strengthening environmental regulation, promoting agricultural green-technology innovation, and upgrading agricultural-land mechanization-to reduce ALCE and lower ALCI. Additionally, (3) heterogeneity analysis suggests that the carbon-emission reduction effect of GCRA is more significant in the east, in arid and humid climate zones, and in non-grain-producing regions. Finally, (4) spatial-spillover effect analysis and quantile regression results demonstrate that GCRA also significantly inhibits carbon emissions and the carbon intensity of nearby agricultural land, with the inhibition effect becoming more pronounced at higher levels of government attention. This study's discoveries are helpful in promoting the emission reduction and carbon sequestration of agricultural land and provide references for developing countries to cope with climate change.
    Language English
    Publishing date 2024-03-13
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 205699-9
    ISSN 1096-0953 ; 0013-9351
    ISSN (online) 1096-0953
    ISSN 0013-9351
    DOI 10.1016/j.envres.2024.118661
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Causal relationship of gut microbiota with diabetic nephropathy: a Mendelian randomization analysis.

    Yan, Wei / Ge, Ying / Wang, Lina / Wang, Yuntao / He, Daikun

    Frontiers in microbiology

    2024  Volume 14, Page(s) 1281361

    Abstract: Background: Patients with DN (diabetic nephropathy) show remarkable variations in their gut microbiota composition. However, to date, no study has shown whether a causal relationship exists between gut microbiota composition and DN.: Methods: Here, ... ...

    Abstract Background: Patients with DN (diabetic nephropathy) show remarkable variations in their gut microbiota composition. However, to date, no study has shown whether a causal relationship exists between gut microbiota composition and DN.
    Methods: Here, we performed a two-sample Mendelian randomization (MR) investigation for identifying causal associations of gut microbiota with DN. Gut microbiota genetic data were gathered from the recent genome-wide association study pooled data of the MiBioGen consortium, which included 24 cohorts and 18,340 individuals.
    Results: IVW(Inverse variance weighting) revealed that
    Conclusion: Two-sample MR analysis identified 12 microbial taxa in gut microbiota (one of which is yet to be officially named) that showed significant causal associations with DN; 8 of these taxa significantly increased the risk of DN, while the remaining 4 taxa (including the one without an official name) reduced the risk of DN. The precise mechanisms influencing the interactions of gut microbiota with DN occurrence remain unclear; hence, additional investigations should be conducted to clarify these mechanisms.
    Language English
    Publishing date 2024-01-03
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2587354-4
    ISSN 1664-302X
    ISSN 1664-302X
    DOI 10.3389/fmicb.2023.1281361
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: A densely connected LDCT image denoising network based on dual-edge extraction and multi-scale attention under compound loss.

    Lina, Jia / Xu, He / Aimin, Huang / Beibei, Jia / Zhiguo, Gui

    Journal of X-ray science and technology

    2023  Volume 31, Issue 6, Page(s) 1207–1226

    Abstract: Background: Low dose computed tomography (LDCT) uses lower radiation dose, but the reconstructed images contain higher noise that can have negative impact in disease diagnosis. Although deep learning with the edge extraction operators reserves edge ... ...

    Abstract Background: Low dose computed tomography (LDCT) uses lower radiation dose, but the reconstructed images contain higher noise that can have negative impact in disease diagnosis. Although deep learning with the edge extraction operators reserves edge information well, only applying the edge extraction operators to input LDCT images does not yield overall satisfactory results.
    Objective: To improve LDCT images quality, this study proposes and tests a dual edge extraction multi-scale attention mechanism convolution neural network (DEMACNN) based on a compound loss.
    Methods: The network uses edge extraction operators to extract edge information from both the input images and the feature maps in the network, improving the utilization of the edge operators and retaining the images edge information. The feature enhancement block is constructed by fusing the attention mechanism and multi-scale module, enhancing effective information, while suppressing useless information. The residual learning method is used to learn the network, improving the performance of the network, and solving the problem of gradient disappearance. Except for the network structure, a compound loss function, which consists of the MSE loss, the proposed joint total variation loss, and the edge loss, is proposed to enhance the denoising ability of the network and reserve the edge of images.
    Results: Compared with other advanced methods (REDCNN, CT-former and EDCNN), the proposed new network achieves the best PSNR and SSIM values in LDCT images of the abdomen, which are 33.3486 and 0.9104, respectively. In addition, the new network also performs well on head and chest image data.
    Conclusion: The experimental results demonstrate that the proposed new network structure and denoising algorithm not only effectively removes the noise in LDCT images, but also protects the edges and details of the images well.
    MeSH term(s) Algorithms ; Neural Networks, Computer ; Thorax ; Tomography, X-Ray Computed
    Language English
    Publishing date 2023-09-25
    Publishing country Netherlands
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2012019-9
    ISSN 1095-9114 ; 0895-3996
    ISSN (online) 1095-9114
    ISSN 0895-3996
    DOI 10.3233/XST-230132
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Ion Dynamics at the Intermediate Charging State of the Sodium Vanadium Fluorophosphate Cathode.

    Gao, Lina / Li, Guijie / Chen, Qinlong / Liu, Tingyu / He, Tian / Li, Jianhua / Wang, Linjun / Kong, Xueqian

    ACS nano

    2024  

    Abstract: Na super ionic conductor (NASICON)-type polyanionic vanadium fluorophosphate ... ...

    Abstract Na super ionic conductor (NASICON)-type polyanionic vanadium fluorophosphate Na
    Language English
    Publishing date 2024-05-03
    Publishing country United States
    Document type Journal Article
    ISSN 1936-086X
    ISSN (online) 1936-086X
    DOI 10.1021/acsnano.4c01831
    Database MEDical Literature Analysis and Retrieval System OnLINE

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