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  1. Article ; Online: Palladium catalyzed stereoselective intramolecular [3 + 2] cycloaddition reactions of (

    Ning, Chao / Yu, Zi-Qi / Wei, Yin / Shi, Min

    Organic & biomolecular chemistry

    2024  

    Abstract: A palladium-catalyzed ring-opening cyclization of ( ...

    Abstract A palladium-catalyzed ring-opening cyclization of (
    Language English
    Publishing date 2024-05-16
    Publishing country England
    Document type Journal Article
    ZDB-ID 2097583-1
    ISSN 1477-0539 ; 1477-0520
    ISSN (online) 1477-0539
    ISSN 1477-0520
    DOI 10.1039/d4ob00607k
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: MTC-CSNet: Marrying Transformer and Convolution for Image Compressed Sensing.

    Shen, Minghe / Gan, Hongping / Ma, Chunyan / Ning, Chao / Li, Hongqi / Liu, Feng

    IEEE transactions on cybernetics

    2024  Volume PP

    Abstract: Image compressed sensing (ICS) has been extensively applied in various imaging domains due to its capability to sample and reconstruct images at subNyquist sampling rates. The current predominant approaches in ICS, specifically pure convolutional ... ...

    Abstract Image compressed sensing (ICS) has been extensively applied in various imaging domains due to its capability to sample and reconstruct images at subNyquist sampling rates. The current predominant approaches in ICS, specifically pure convolutional networks (ConvNets)-based ICS methods, have demonstrated their effectiveness in capturing local features for image recovery. Simultaneously, the Transformer architecture has gained significant attention due to its capability to model global correlations among image features. Motivated by these insights, we propose a novel hybrid network for ICS, named MTC-CSNet, which effectively combines the strengths of both ConvNets and Transformer architectures in capturing local and global image features to achieve high-quality image recovery. Particularly, MTC-CSNet is a dual-path framework that consists of a ConvNets-based recovery branch and a Transformer-based recovery branch. Along the ConvNets-based recovery branch, we design a lightweight scheme to capture the local features in natural images. Meanwhile, we implement a Transformer-based recovery branch to iteratively model the global dependencies among image patches. Ultimately, the ConvNets-based and Transformer-based recovery branches collaborate through a bridging unit, facilitating the adaptive transmission and fusion of informative features for image reconstruction. Extensive experimental results demonstrate that our proposed MTC-CSNet surpasses the state-of-the-art methods on various public datasets. The code and models are publicly available at MTC-CSNet.
    Language English
    Publishing date 2024-02-26
    Publishing country United States
    Document type Journal Article
    ISSN 2168-2275
    ISSN (online) 2168-2275
    DOI 10.1109/TCYB.2024.3363748
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Identify Candidate Genes Associated with the Weight and Egg Quality Traits in Wenshui Green Shell-Laying Chickens by the Copy Number Variation-Based Genome-Wide Association Study.

    Yang, Suozhou / Ning, Chao / Yang, Cheng / Li, Wenqiang / Zhang, Qin / Wang, Dan / Tang, Hui

    Veterinary sciences

    2024  Volume 11, Issue 2

    Abstract: Copy number variation (CNV), as an essential source of genetic variation, can have an impact on gene expression, genetic diversity, disease susceptibility, and species evolution in animals. To better understand the weight and egg quality traits of ... ...

    Abstract Copy number variation (CNV), as an essential source of genetic variation, can have an impact on gene expression, genetic diversity, disease susceptibility, and species evolution in animals. To better understand the weight and egg quality traits of chickens, this paper aimed to detect CNVs in Wenshui green shell-laying chickens and conduct a copy number variation regions (CNVRs)-based genome-wide association study (GWAS) to identify variants and candidate genes associated with their weight and egg quality traits to support related breeding efforts. In our paper, we identified 11,035 CNVRs in Wenshui green shell-laying chickens, which collectively spanned a length of 13.1 Mb, representing approximately 1.4% of its autosomal genome. Out of these CNVRs, there were 10,446 loss types, 491 gain types, and 98 mixed types. Notably, two CNVRs showed significant correlations with egg quality, while four CNVRs exhibited significant associations with body weight. These significant CNVRs are located on chromosome 4. Further analysis identified potential candidate genes that influence weight and egg quality traits, including
    Language English
    Publishing date 2024-02-06
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2768971-2
    ISSN 2306-7381 ; 2306-7381
    ISSN (online) 2306-7381
    ISSN 2306-7381
    DOI 10.3390/vetsci11020076
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: A Countertraction Closed Reduction Technique in Minimally Invasive Fixation of Recent Type C Pelvic Ring Injuries.

    Liu, Wei / Zhao, Jinmin / Cheng, Jianwen / Huang, Linke / Ning, Chao / Hu, Feng

    Orthopaedic surgery

    2024  Volume 16, Issue 4, Page(s) 989–997

    Abstract: Objective: Closed reduction of pelvic injuries is a prerequisite and critical step in minimally invasive treatment. Achieving non-invasive closed reduction of pelvic injuries is a challenging clinical problem. This study demonstrated a non-invasive ... ...

    Abstract Objective: Closed reduction of pelvic injuries is a prerequisite and critical step in minimally invasive treatment. Achieving non-invasive closed reduction of pelvic injuries is a challenging clinical problem. This study demonstrated a non-invasive traction technique for closed reduction called countertraction closed reduction technique (CCRT) and evaluated its effectiveness for type C pelvic ring injuries.
    Method: The data of patients with unstable pelvic fractures treated with CCRT and minimally invasive fixation were retrospectively reviewed from January 2017 to February 2022. Sacroiliac screws were placed to fix the posterior pelvic ring, and internal or external fixation was used to fix the anterior pelvic ring. Operation time, intraoperative blood loss, duration of hospital stay, fracture union and postoperative complications were recorded. Fracture reduction quality was evaluated using the Matta scoring criteria. Functional recovery and general quality of life were evaluated using the Majeed functional scoring criteria.
    Results: Thirteen patients (nine males and four females), with an average age of 49.6 years were treated with CCRT and followed up for a mean of 18.5 months. The average operation time was 137.2 minutes (range 92-195 minutes), the average intraoperative blood loss was 31.2 mL (range 10-120 mL) and the average duration of hospital stay was 14.3 days (range 4-32 days). All patients achieved bony union with an average union time of 11.9 weeks (range 10-16 weeks). According to the Matta radiographic criteria, the quality of fracture reduction was excellent in eight patients, good in four, and fair in one. The average Majeed functional score was 89.7 (range 78-100). The functional evaluation revealed that the outcomes were excellent in nine patients, and good in four patients. Complications included incision fat liquefaction in one patient, and heterotopic ossification in another patient. There were no surgical complications as a result of CCRT.
    Conclusion: CCRT is a non-invasive closed reduction method for minimally invasive fixation of fresh Tile C1 and C2 pelvic fractures. The advantages of CCRT combined with minimally invasive treatment include a small surgical incision, reduced intraoperative bleeding, satisfactory fracture reduction, bone healing and functional recovery.
    MeSH term(s) Male ; Female ; Humans ; Middle Aged ; Fracture Fixation, Internal/methods ; Retrospective Studies ; Blood Loss, Surgical ; Quality of Life ; Fractures, Bone/surgery ; Pelvic Bones/surgery ; Pelvic Bones/injuries ; Treatment Outcome
    Language English
    Publishing date 2024-02-22
    Publishing country Australia
    Document type Journal Article
    ZDB-ID 2503162-4
    ISSN 1757-7861 ; 1757-7853 ; 1757-7861
    ISSN (online) 1757-7861 ; 1757-7853
    ISSN 1757-7861
    DOI 10.1111/os.14005
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Resequencing Analyses Revealed Genetic Diversity and Selection Signatures during Rabbit Breeding and Improvement.

    Xie, Kerui / Ning, Chao / Yang, Aiguo / Zhang, Qin / Wang, Dan / Fan, Xinzhong

    Genes

    2024  Volume 15, Issue 4

    Abstract: Domestication has shaped the diverse characteristics of rabbits, including coat color, fur structure, body size, and various physiological traits. Utilizing whole-genome resequencing (DNBSEQ-T7), we analyzed the genetic diversity, population structure, ... ...

    Abstract Domestication has shaped the diverse characteristics of rabbits, including coat color, fur structure, body size, and various physiological traits. Utilizing whole-genome resequencing (DNBSEQ-T7), we analyzed the genetic diversity, population structure, and genomic selection across 180 rabbits from 17 distinct breeds to uncover the genetic basis of these traits. We conducted whole-genome sequencing on 17 rabbit breeds, identifying 17,430,184 high-quality SNPs and analyzing genomic diversity, patterns of genomic variation, population structure, and selection signatures related to coat color, coat structure, long hair, body size, reproductive capacity, and disease resistance. Through PCA and NJ tree analyses, distinct clusters emerged among Chinese indigenous rabbits, suggesting varied origins and domestication histories. Selective sweep testing pinpointed regions and genes linked to domestication and key morphological and economic traits, including those affecting coat color (
    MeSH term(s) Animals ; Rabbits/genetics ; Selection, Genetic ; Breeding ; Polymorphism, Single Nucleotide ; Domestication ; Whole Genome Sequencing ; Phenotype ; Genetic Variation ; Body Size/genetics
    Language English
    Publishing date 2024-03-29
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2527218-4
    ISSN 2073-4425 ; 2073-4425
    ISSN (online) 2073-4425
    ISSN 2073-4425
    DOI 10.3390/genes15040433
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Clinical research progress of novel antituberculosis drugs on multidrug-resistant tuberculosis.

    Zhong, Xinxin / Lin, Ao / Luo, Jian / Li, Yeqin / Chen, Jinlan / Ning, Chao / Cao, Fu

    Postgraduate medical journal

    2024  Volume 100, Issue 1184, Page(s) 366–372

    Abstract: Multidrug-resistant tuberculosis (MDR-TB) has become a critical challenge to public health, and the prevention and treatment of MDR-TB are of great significance in reducing the global burden of tuberculosis. How to improve the effectiveness and safety of ...

    Abstract Multidrug-resistant tuberculosis (MDR-TB) has become a critical challenge to public health, and the prevention and treatment of MDR-TB are of great significance in reducing the global burden of tuberculosis. How to improve the effectiveness and safety of chemotherapy for MDR-TB is a pressing issue that needs to be addressed in tuberculosis control efforts. This article provides a comprehensive review of the clinical application of new antituberculosis drugs in MDR-TB, aiming to provide a scientific basis for the prevention and treatment strategy of MDR-TB.
    MeSH term(s) Humans ; Tuberculosis, Multidrug-Resistant/drug therapy ; Antitubercular Agents/therapeutic use ; Mycobacterium tuberculosis/drug effects
    Language English
    Publishing date 2024-01-09
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 80325-x
    ISSN 1469-0756 ; 0032-5473
    ISSN (online) 1469-0756
    ISSN 0032-5473
    DOI 10.1093/postmj/qgad140
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Construction of pyrroles, furans and thiophenes

    Meng, Zhe / Yan, Jun / Ning, Chao / Shi, Min / Wei, Yin

    Chemical science

    2023  Volume 14, Issue 28, Page(s) 7648–7655

    Abstract: Pyrroles, furans, and thiophenes are important structural motifs in biologically active substances, pharmaceuticals and functional materials. In this paper, we disclose an efficient synthetic strategy for the rapid construction of multisubstituted ... ...

    Abstract Pyrroles, furans, and thiophenes are important structural motifs in biologically active substances, pharmaceuticals and functional materials. In this paper, we disclose an efficient synthetic strategy for the rapid construction of multisubstituted pyrroles, furans, and thiophenes
    Language English
    Publishing date 2023-06-13
    Publishing country England
    Document type Journal Article
    ZDB-ID 2559110-1
    ISSN 2041-6539 ; 2041-6520
    ISSN (online) 2041-6539
    ISSN 2041-6520
    DOI 10.1039/d3sc01542d
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Whole transcriptome sequencing reveals key genes and ceRNA regulatory networks associated with pimpled eggs in hens.

    Li, Wenqiang / Cao, Zhi / Xu, Fei / Zhang, Xuguang / Sun, Yifei / Xie, Zhongbiao / Ning, Chao / Zhang, Qin / Wang, Dan / Tang, Hui

    Poultry science

    2024  Volume 103, Issue 6, Page(s) 103715

    Abstract: Eggshell is one of the most important indicators of egg quality, and due to low shell strength, pimple eggs (PE) are more susceptible to breakage, thus causing huge economic losses to the egg industry. At the current time, the molecular mechanisms that ... ...

    Abstract Eggshell is one of the most important indicators of egg quality, and due to low shell strength, pimple eggs (PE) are more susceptible to breakage, thus causing huge economic losses to the egg industry. At the current time, the molecular mechanisms that regulate the formation of pimple eggs are poorly understood. In this study, uterine tissues of PE-laying hens (n = 8) and normal egg (NE) -laying hens (n = 8) were analyzed by whole transcriptome sequencing, and a total of 619 differentially expressed mRNAs (DE mRNAs), 122 differentially expressed lncRNAs (DE lncRNAs) and 21 differentially expressed miRNAs (DE miRNAs) were obtained. Based on the targeting relationship among DE mRNAs, DE lncRNAs and DE miRNAs, we constructed a competitive endogenous RNA (ceRNA) network including 12 DE miRNAs, 19 DE lncRNAs, and 128 DE mRNAs. Considering the large amount of information contained in the network, we constructed a smaller ceRNA network to better understand the complex mechanisms of pimple egg formation. The smaller ceRNA network network contains 7 DE lncRNAs (LOC107056551, LOC121109367, LOC121108909, LOC121108862, LOC112530033, LOC121113165, LOC107054145), 5 DE miRNAs (gga-miR-6568-3p, gga-miR-31-5p, gga-miR-18b-3p, gga-miR-1759-3p, gga-miR-12240-3p) and 7 DE mRNAs (CABP1, DNAJC5, HCN3, HPCA, IBSP, KCNT1, OTOP3), and these differentially expressed genes may play key regulatory roles in the formation of pimpled eggs in hens. This study provides the overall expression profiles of mRNAs, lncRNAs and miRNAs in the uterine tissues of hens, which provides a theoretical basis for further research on the molecular mechanisms of pimpled egg formation, and has potential applications in improving eggshell quality.
    Language English
    Publishing date 2024-04-07
    Publishing country England
    Document type Journal Article
    ZDB-ID 242586-5
    ISSN 1525-3171 ; 0032-5791
    ISSN (online) 1525-3171
    ISSN 0032-5791
    DOI 10.1016/j.psj.2024.103715
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: ToxMPNN: A deep learning model for small molecule toxicity prediction.

    Zhou, Yini / Ning, Chao / Tan, Yijun / Li, Yaqi / Wang, Jiaxu / Shu, Yuanyuan / Liang, Songping / Liu, Zhonghua / Wang, Ying

    Journal of applied toxicology : JAT

    2024  

    Abstract: Machine learning (ML) has shown a great promise in predicting toxicity of small molecules. However, the availability of data for such predictions is often limited. Because of the unsatisfactory performance of models trained on a single toxicity endpoint, ...

    Abstract Machine learning (ML) has shown a great promise in predicting toxicity of small molecules. However, the availability of data for such predictions is often limited. Because of the unsatisfactory performance of models trained on a single toxicity endpoint, we collected toxic small molecules with multiple toxicity endpoints from previous study. The dataset comprises 27 toxic endpoints categorized into seven toxicity classes, namely, carcinogenicity and mutagenicity, acute oral toxicity, respiratory toxicity, irritation and corrosion, cardiotoxicity, CYP450, and endocrine disruption. In addition, a binary classification Common-Toxicity task was added based on the aforementioned dataset. To improve the performance of the models, we added marketed drugs as negative samples. This study presents a toxicity predictive model, ToxMPNN, based on the message passing neural network (MPNN) architecture, aiming to predict the toxicity of small molecules. The results demonstrate that ToxMPNN outperforms other models in capturing toxic features within the molecular structure, resulting in more precise predictions with the ROC_AUC testing score of 0.886 for the Toxicity_drug dataset. Furthermore, it was observed that adding marketed drugs as negative samples not only improves the predictive performance of the binary classification Common-Toxicity task but also enhances the stability of the model prediction. It shows that the graph-based deep learning (DL) algorithms in this study can be used as a trustworthy and effective tool to assess small molecule toxicity in the development of new drugs.
    Language English
    Publishing date 2024-02-26
    Publishing country England
    Document type Journal Article
    ZDB-ID 604625-3
    ISSN 1099-1263 ; 0260-437X
    ISSN (online) 1099-1263
    ISSN 0260-437X
    DOI 10.1002/jat.4591
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: TransCS: A Transformer-Based Hybrid Architecture for Image Compressed Sensing.

    Shen, Minghe / Gan, Hongping / Ning, Chao / Hua, Yi / Zhang, Tao

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

    2022  Volume 31, Page(s) 6991–7005

    Abstract: Well-known compressed sensing (CS) is widely used in image acquisition and reconstruction. However, accurately reconstructing images from measurements at low sampling rates remains a considerable challenge. In this paper, we propose a novel Transformer- ... ...

    Abstract Well-known compressed sensing (CS) is widely used in image acquisition and reconstruction. However, accurately reconstructing images from measurements at low sampling rates remains a considerable challenge. In this paper, we propose a novel Transformer-based hybrid architecture (dubbed TransCS) to achieve high-quality image CS. In the sampling module, TransCS adopts a trainable sensing matrix strategy that gains better image reconstruction by learning the structural information from the training images. In the reconstruction module, inspired by the powerful long-distance dependence modelling capacity of the Transformer, a customized iterative shrinkage-thresholding algorithm (ISTA)-based Transformer backbone that iteratively works with gradient descent and soft threshold operation is designed to model the global dependency among image subblocks. Moreover, the auxiliary convolutional neural network (CNN) is introduced to capture the local features of images. Therefore, the proposed hybrid architecture that integrates the customized ISTA-based Transformer backbone with CNN can gain high-performance reconstruction for image compressed sensing. The experimental results demonstrate that our proposed TransCS obtains superior reconstruction quality and noise robustness on several public benchmark datasets compared with other state-of-the-art methods. Our code is available on TransCS.
    Language English
    Publishing date 2022-11-14
    Publishing country United States
    Document type Journal Article
    ISSN 1941-0042
    ISSN (online) 1941-0042
    DOI 10.1109/TIP.2022.3217365
    Database MEDical Literature Analysis and Retrieval System OnLINE

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