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Article ; Online: The Influence of Technological Innovation on the Profitability of Enterprises

Li Shasha

E3S Web of Conferences, Vol 235, p

2021 Volume 02075

Abstract: This paper studies whether the investment intensity of R&D expenses of listed companies can improve the profitability of enterprises. The data indicators of listed companies from 2015 to 2017 are obtained by using CSMAR database. R&D investment is ... ...

Abstract	This paper studies whether the investment intensity of R&D expenses of listed companies can improve the profitability of enterprises. The data indicators of listed companies from 2015 to 2017 are obtained by using CSMAR database. R&D investment is divided into two indicators: relative number index and absolute number index, and regression analysis is carried out by establishing the econometric analysis model of profitability and absolute number index and relative number index of R&D investment. It is found that the intensity of R&D investment has a positive effect on the profitability of enterprises. Therefore, enterprises can improve their profitability through technological innovation and increasing R&D investment.
Keywords	Environmental sciences ; GE1-350
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	EDP Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The impact of labor mobility on industrial upgrading in China

Li ShaSha

E3S Web of Conferences, Vol 235, p

2021 Volume 02055

Abstract: Using the data of 2010 population census and 2015 1% population sample survey in China and the data published by the National Bureau of Statistics, the index of industrial structure transformation was adopted to measure the explained variable of ... ...

Abstract	Using the data of 2010 population census and 2015 1% population sample survey in China and the data published by the National Bureau of Statistics, the index of industrial structure transformation was adopted to measure the explained variable of industrial upgrading, and the least squares model was constructed to investigate the impact of migrant labor force on industrial upgrading and its influencing mechanism. Research shows that the migrant labor force has a positive impact on the transformation of industrial structure, and increasing the proportion of urban migrant labor force is conducive to promoting the transformation of agricultural economic structure into non-agricultural industries. Furthermore, the paper discusses the mechanism through which labor flow affects industrial upgrading, and the test results show that labor flow promotes urban industrial upgrading through local market effect and human capital accumulation mechanism. Labor flow is a process of improving the efficiency of resource allocation. Cities attract a large number of foreign labor, which is of great significance to the transformation and upgrading of urban industrial structure.
Keywords	Environmental sciences ; GE1-350
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	EDP Sciences
Document type	Article ; Online
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Article ; Online: HKFGCN: A novel multiple kernel fusion framework on graph convolutional network to predict microbe-drug associations.

Wu, Ziyu / Li, Shasha / Luo, Lingyun / Ding, Pingjian

Computational biology and chemistry

2024 Volume 110, Page(s) 108041

Abstract: Accumulating clinical studies have consistently demonstrated that the microbes in the human body closely interact with the human host, actively participating in the regulation of drug effectiveness. Identifying the associations between microbes and drugs ...

Abstract	Accumulating clinical studies have consistently demonstrated that the microbes in the human body closely interact with the human host, actively participating in the regulation of drug effectiveness. Identifying the associations between microbes and drugs can facilitate the development of drug discovery, and microbes have become a new target in antimicrobial drug development. However, the discovery of microbe-drug associations relies on clinical or biological experiments, which are not only time-consuming but also financially burdensome. Thus, the utilization of computational methods to predict microbe-drug associations holds promise for reducing costs and enhancing the efficiency of biological experiments. Here, we introduce a new computational method, called HKFGCN (Heterogeneous information Kernel Fusion Graph Convolution Network), to predict the microbe-drug associations. Instead of extracting feature from a single network in previous studies, HKFGCN separately extracts topological information features from different networks, and further refines them by generating Gaussian kernel features. HKFGCN consists of three main steps. Firstly, we constructed two similarity networks and a microbe-drug association network based on numerous biological data. Second, we employed two types of encoders to extract features from these networks. Next, Gaussian kernel features were obtained from the drug and microbe features at each layer. Finally, we reconstructed the bipartite microbe-drug graph based on the learned representations. Experimental results demonstrate the excellent performance of the HKFGCN model across different datasets using the cross-validation scheme. Additionally, we conduced case studies on human immunodeficiency virus, and the results were corroborated by existing literatures. The prediction model's code is available at https://github.com/roll-of-bubble/HKFGCN.
Language	English
Publishing date	2024-03-02
Publishing country	England
Document type	Journal Article
ISSN	1476-928X
ISSN (online)	1476-928X
DOI	10.1016/j.compbiolchem.2024.108041
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Article ; Online: Predicting associations between drugs and G protein-coupled receptors using a multi-graph convolutional network.

Luo, Yuxun / Li, Shasha / Peng, Li / Ding, Pingjian / Liang, Wei

Computational biology and chemistry

2024 Volume 110, Page(s) 108060

Abstract: Developing new drugs is an expensive, time-consuming process that frequently involves safety concerns. By discovering novel uses for previously verified drugs, drug repurposing helps to bypass the time-consuming and costly process of drug development. As ...

Abstract	Developing new drugs is an expensive, time-consuming process that frequently involves safety concerns. By discovering novel uses for previously verified drugs, drug repurposing helps to bypass the time-consuming and costly process of drug development. As the largest family of proteins targeted by verified drugs, G protein-coupled receptors (GPCR) are vital to efficiently repurpose drugs by inferring their associations with drugs. Drug repurposing may be sped up by computational models that predict the strength of novel drug-GPCR pairs interaction. To this end, a number of models have been put forth. In existing methods, however, drug structure, drug-drug interactions, GPCR sequence, and subfamily information couldn't simultaneously be taken into account to detect novel drugs-GPCR relationships. In this study, based on a multi-graph convolutional network, an end-to-end deep model was developed to efficiently and precisely discover latent drug-GPCR relationships by combining data from multi-sources. We demonstrated that our model, based on multi-graph convolutional networks, outperformed rival deep learning techniques as well as non-deep learning models in terms of inferring drug-GPCR relationships. Our results indicated that integrating data from multi-sources can lead to further advancement.
Language	English
Publishing date	2024-04-02
Publishing country	England
Document type	Journal Article
ISSN	1476-928X
ISSN (online)	1476-928X
DOI	10.1016/j.compbiolchem.2024.108060
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Article ; Online: New perspective of small-molecule antiviral drugs development for RNA viruses.

Li, Shasha / Li, Huixia / Lian, Ruiya / Xie, Jingying / Feng, Ruofei

Virology

2024 Volume 594, Page(s) 110042

Abstract: High variability and adaptability of RNA viruses allows them to spread between humans and animals, causing large-scale infectious diseases which seriously threat human and animal health and social development. At present, AIDS, viral hepatitis and other ... ...

Abstract	High variability and adaptability of RNA viruses allows them to spread between humans and animals, causing large-scale infectious diseases which seriously threat human and animal health and social development. At present, AIDS, viral hepatitis and other viral diseases with high incidence and low cure rate are still spreading around the world. The outbreaks of Ebola, Zika, dengue and in particular of the global pandemic of COVID-19 have presented serious challenges to the global public health system. The development of highly effective and broad-spectrum antiviral drugs is a substantial and urgent research subject to deal with the current RNA virus infection and the possible new viral infections in the future. In recent years, with the rapid development of modern disciplines such as artificial intelligence technology, bioinformatics, molecular biology, and structural biology, some new strategies and targets for antivirals development have emerged. Here we review the main strategies and new targets for developing small-molecule antiviral drugs against RNA viruses through the analysis of the new drug development progress against several highly pathogenic RNA viruses, to provide clues for development of future antivirals.
MeSH term(s)	Animals ; Humans ; Antiviral Agents/chemistry ; Artificial Intelligence ; RNA Viruses/genetics ; Virus Diseases ; Zika Virus/genetics ; Zika Virus Infection/drug therapy
Chemical Substances	Antiviral Agents
Language	English
Publishing date	2024-03-07
Publishing country	United States
Document type	Journal Article ; Review
ZDB-ID	200425-2
ISSN	1096-0341 ; 0042-6822
ISSN (online)	1096-0341
ISSN	0042-6822
DOI	10.1016/j.virol.2024.110042
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Article: Therapeutic effect of ofatumumab in patients with myasthenia gravis: immunoregulation of follicular T helper cells and T helper type 17 cells.

Li, Shasha / Zhang, Zhaoxu / Liu, Zunjing

Frontiers in neurology

2023 Volume 14, Page(s) 1278250

Abstract: Introduction: This study aimed to study the therapeutic effects of ofatumumab in patients with myasthenia gravis (MG) in addition to the immunomodulatory effects on peripheral follicular T helper (Tfh) cells and T helper type 17 (Th17) cells.: Methods! ...

Abstract	Introduction: This study aimed to study the therapeutic effects of ofatumumab in patients with myasthenia gravis (MG) in addition to the immunomodulatory effects on peripheral follicular T helper (Tfh) cells and T helper type 17 (Th17) cells. Methods: Thirty-one patients with anti-acetylcholine receptor (AChR) antibody-positive MG were included in this study. At weeks 0, 1, 2, and 4, an initial dose of 20 mg of ofatumumab was injected subcutaneously, with a 2-month follow-up after completing this first cycle. At baseline, 1 month, and 3 months, we assessed the Quantitative MG (QMG), 15-item MG-Quality of Life (MG-QOL15), and MG-Activities of Daily Living (MG-ADL) scales and measured the frequencies of Tfh, Th17, and B cells and the levels of anti-AChR antibody, IL-6, IL-21, and IL-17 in the peripheral blood. Results: At 1 month and 3 months, the QMG, MG-QOL15, and MG-ADL scores were all significantly reduced. At 3 months, doses of prednisone were reduced by an average of 37%. Decreased frequencies of Tfh and Th17 cells, depletion of B cells, and reduced levels of IL-6, IL-21, and IL-17 were all observed at 1 month or 3 months. Discussion: Therefore, the therapeutic effect of ofatumumab could be detected after one cycle of treatment, which was maintained for 2 months. The immunomodulatory effect of ofatumumab during the observation period may involve depletion of B cells, reduction of Tfh and Th17 cells frequencies, and reduced levels of IL-6, IL-21, and IL-17. The findings provide novel data for the potential application of ofatumumab in MG.
Language	English
Publishing date	2023-12-11
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2564214-5
ISSN	1664-2295
ISSN	1664-2295
DOI	10.3389/fneur.2023.1278250
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Article ; Online: The effects of vaginal surgery and pelvic floor disorders on female sexual function.

Li, Shasha / Tan, Cheng / Yang, Xin

The journal of sexual medicine

2023 Volume 20, Issue 5, Page(s) 645–650

Abstract: Background: The effects of pelvic organ prolapse (POP) and stress urinary incontinence (SUI) on sexual activity and female sexual dysfunction (FSD) remain unknown. How female sexual function is affected by surgery to treat SUI and/or POP remains ... ...

Abstract	Background: The effects of pelvic organ prolapse (POP) and stress urinary incontinence (SUI) on sexual activity and female sexual dysfunction (FSD) remain unknown. How female sexual function is affected by surgery to treat SUI and/or POP remains controversial. Aim: The objectives of this study were to identify the prevalence of FSD and potential risk factors in women with POP and/or SUI and to assess whether pelvic floor surgery leads to alterations in female sexual function. Methods: This investigation was prospective and observational. Informed consent was obtained from women who were scheduled to undergo pelvic floor surgery to manage POP and/or SUI at Peking University People's Hospital, which is an urban medical center. Sexual function was assessed by an investigator preoperatively and 12 months postoperatively. Outcomes: Sexual activity and sexual function before and after surgery were investigated with potential risk factors. Sexual function was measured by 2 validated questionnaires: the Female Sexual Function Index and the PISQ-12 (Pelvic Organ Prolapse/Urinary Incontinence Sexual Questionnaire Short Form). Results: A total of 233 women were recruited, and all were ethnically Chinese. The average age was 63 years (range, 31-83), and 47.2% were sexually active. The lack of sexual activity before surgery was associated with increasing age (mean ± SD, 56.3 ± 9.5 vs 68.4 ± 8.1 years; P < .001) and postmenopausal status (70.0% vs 97.6%, P < .001). Among the sexually active women, 62.7% were diagnosed with FSD. Increasing age (58.6 ± 9.6 vs 52.3 ± 7.8 years, P < .001) and postmenopausal status (82.6% vs 48.8%, P < .001) were associated with the presence of FSD. Overall there was no significant difference between the PISQ-12 score before and 12 months after surgery (34.7 ± 6.7 vs 33.9 ± 6.6, P = .14). Lubrication of the vagina (P = .044) was an independent factor associated with the improvement in quality of sexual life after surgery. Menopause negatively affected the improvement in quality of sexual life after surgery (P = .024). Clinical implications: Menopause and lubrication of the vagina might affect the improvement in sexual function after surgery. Strengths and limitations: Strengths include the prospective design, validated questionnaires, and adequate follow-up time. As a limitation, this study is a single-center study that included only Chinese patients with advanced POP/SUI, so it may not be generalizable to other populations. Conclusion: Nearly half of women with symptomatic POP and/or SUI are still sexually active. Increasing age and menopause are associated with a lack of sexual activity. Premenopausal status and better lubrication of the vagina before surgery might lead to an improvement in sexual function after pelvic floor surgery.
MeSH term(s)	Humans ; Female ; Middle Aged ; Aged ; Adult ; Pelvic Floor Disorders/complications ; Pelvic Floor Disorders/epidemiology ; Pelvic Floor Disorders/surgery ; Quality of Life ; Sexual Behavior ; Urinary Incontinence ; Urinary Incontinence, Stress/surgery ; Urinary Incontinence, Stress/complications ; Pelvic Organ Prolapse/complications ; Pelvic Organ Prolapse/surgery ; Surveys and Questionnaires
Language	English
Publishing date	2023-03-02
Publishing country	Netherlands
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2251959-2
ISSN	1743-6109 ; 1743-6095
ISSN (online)	1743-6109
ISSN	1743-6095
DOI	10.1093/jsxmed/qdad020
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Article: Lewis Acid Catalyzed Multicomponent Reaction of Aliphatic Aldehydes, Ynamides, Carboxylic Acids, and Amines to Access β3-Acylamino Amides

Li, Shasha / Zhuang, Pengfei

Synlett

2023 Volume 34, Issue 19, Page(s) 2341–2345

Abstract: An atom-economical strategy for the synthesis of alkylated β 3 -acylamino amides via Lewis acid catalyzed one-pot multicomponent reaction of ynamides, carboxylic acids, and aromatic amines with aliphatic aldehydes is described. In addition to the ... ...

Abstract	An atom-economical strategy for the synthesis of alkylated β 3 -acylamino amides via Lewis acid catalyzed one-pot multicomponent reaction of ynamides, carboxylic acids, and aromatic amines with aliphatic aldehydes is described. In addition to the synthetic utility and scalability, the method exhibits excellent substrate scope and functional-group tolerance. The products can easily be transformed into valuable building blocks, such as peptide chains.
Keywords	multicomponent reactions ; β-acylamino amides ; ynamides ; Ugi reaction ; Lewis acids
Language	English
Publishing date	2023-07-25
Publisher	Georg Thieme Verlag KG
Publishing place	Stuttgart ; New York
Document type	Article
ZDB-ID	2042012-2
ISSN	1437-2096 ; 0936-5214
ISSN (online)	1437-2096
ISSN	0936-5214
DOI	10.1055/a-2138-7655
Database	Thieme publisher's database

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Article ; Online: Predictors of rapid eye movement sleep behavior disorder in patients with Parkinson’s disease based on random forest and decision tree

Wu Chong-Wen / Li Sha-Sha / E. Xu

PLoS ONE, Vol 17, Iss

2022 Volume 6

Abstract: Background and objectives Sleep disorders related to Parkinson’s disease (PD) have recently attracted increasing attention, but there are few clinical reports on the correlation of Parkinson’s disease patients with rapid eye movement (REM) sleep behavior ...

Abstract	Background and objectives Sleep disorders related to Parkinson’s disease (PD) have recently attracted increasing attention, but there are few clinical reports on the correlation of Parkinson’s disease patients with rapid eye movement (REM) sleep behavior disorder (RBD). Therefore, this study conducted a cognitive function examination for Parkinson’s disease patients and discussed the application effect of three algorithms in the screening of influencing factors and risk prediction effects. Methods Three algorithms (logistic regression, machine learning-based regression trees and random forest) were used to establish a prediction model for PD-RBD patients, and the application effects of the three algorithms in the screening of influencing factors and the risk prediction of PD-RBD were discussed. Results The subjects included 169 patients with Parkinson’s disease (Parkinson’s disease with RBD [PD-RBD] = 69 subjects; Parkinson’s disease without RBD [PD-nRBD] = 100 subjects). This study compared the predictive performance of RF, decision tree and logistic regression, selected a final model with the best model performance and proposed the importance of variables in the final model. After the analysis, the accuracy of RF (83.05%) was better than that of the other models (decision tree = 75.10%, logistic regression = 71.62%). PQSI, Scopa-AUT score, MoCA score, MMSE score, AGE, LEDD, PD-course, UPDRS total score, ESS score, NMSQ, disease type, RLSRS, HAMD, UPDRS III and PDOnsetage are the main variables for predicting RBD, along with increased weight. Among them, PQSI is the most important factor. The prediction model of Parkinson’s disease RBD that was established in this study will help in screening out predictive factors and in providing a reference for the prognosis and preventive treatment of PD-RBD patients. Conclusions The random forest model had good performance in the prediction and evaluation of PD-RBD influencing factors and was superior to decision tree and traditional logistic regression models in many ...
Keywords	Medicine ; R ; Science ; Q
Subject code	610
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
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Article ; Online: Do spatial spillovers matter? Estimating the impact of tourism development on CO

Li, ShaSha / Lv, Zhike

Environmental science and pollution research international

2021

Abstract: Most of the extant literature on the environmental impact of tourism has ignored the possible spatial interaction effects across countries. This study thus aims to re-investigate the impact of tourism development on ... ...

Abstract	Most of the extant literature on the environmental impact of tourism has ignored the possible spatial interaction effects across countries. This study thus aims to re-investigate the impact of tourism development on CO
Language	English
Publishing date	2021-02-25
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-021-12988-6
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