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Article ; Online: The Relationship between Urban Public Art and Regional Environment Based on Wireless Network Technology

Juan Li

Computational Intelligence and Neuroscience, Vol

2022 Volume 2022

Abstract: The relationship between urban public art and regional environment based on wireless network technology is studied. Combining domestic specific cases and referring to sociology, art, and design thinking, combing about the relationship between the city’s ... ...

Abstract	The relationship between urban public art and regional environment based on wireless network technology is studied. Combining domestic specific cases and referring to sociology, art, and design thinking, combing about the relationship between the city’s public art and the regional environment, and further integration of its relationship components, at the same time, the planning study of Changning district, Shanghai, and the actual operation of the Shanghai Pudong International Airport, which incorporates the regional mesolevel background, are examples for case analysis. In reference cases and practical cases, they are deduced in sequence, starting from the environmental context of urban areas to the evolution model of public art. Moreover, the specific event background also constitutes a special opportunity period for the sudden growth of public art.
Keywords	Computer applications to medicine. Medical informatics ; R858-859.7 ; Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571
Subject code	700
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: Fast prototype selection algorithm based on adjacent neighbourhood and boundary approximation

Juan Li / Cai Dai

Scientific Reports, Vol 12, Iss 1, Pp 1-

2022 Volume 15

Abstract: Abstract The unceasing increase of data quantity severely limits the wide application of mature classification algorithms due to the unacceptable execution time and the insufficient memory. How to fast incrementally obtain high decision reference set and ...

Abstract	Abstract The unceasing increase of data quantity severely limits the wide application of mature classification algorithms due to the unacceptable execution time and the insufficient memory. How to fast incrementally obtain high decision reference set and adapt to incremental data environment is urgently needed in incremental environments, large dataset, etc. This paper proposes a novel prototype selection algorithm by integrating the strategies between condensing method and editing method. To an unlearned pattern, this algorithm extends the references scope from its single nearest neighbour to its k nearest neighbourhood that can expand the judgment information to obtain its detailed neighbour relationship. Then a pattern was determined whether it is a prototype using its neighbour relationship and classification boundary asymptotically strategy. To maintain the higher reference set, this algorithm periodically updates those prototypes that locates in the non-boundary zone or is long-time unlearned. The empirical study shows that this algorithm obtains the smaller and higher boundary prototypes without decreasing classification accuracy and reduction rate than the compared algorithms.
Keywords	Medicine ; R ; Science ; Q
Subject code	006
Language	English
Publishing date	2022-11-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Research on Embedded Multifunctional Data Mining Technology Based on Granular Computing

Juan Li / Xianghong Tian

Computational Intelligence and Neuroscience, Vol

2022 Volume 2022

Abstract: Due to the influence and limitations of the multisourced, heterogeneous, and unbalanced characteristics of embedded multifunctional data, the application effect of the current data mining technology is not good, and the accuracy is low. To solve the ... ...

Abstract	Due to the influence and limitations of the multisourced, heterogeneous, and unbalanced characteristics of embedded multifunctional data, the application effect of the current data mining technology is not good, and the accuracy is low. To solve the above problems, an embedded multifunctional data mining technology based on granular computing was studied. According to the three characteristics of embedded multifunctional data, preprocessing such as data reduction, data standardization, and data balance were implemented. We implemented data granulation for the preprocessed data and calculated the data granulation characteristics, including offset, particle density, and intraparticle interval. Taking granular features as the input content, embedded multifunctional data mining was realized by using a neural network to complete the objectives of data classification, anomaly detection, fault identification, and so on. The experimental results showed that the anomaly mining results of each type of data mining were greater than 0.9, indicating that the accuracy of the mining technology is high.
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: Comparative analysis of four complete mitogenomes from hoverfly genus Eristalinus with phylogenetic implications

Hu Li / Juan Li

Scientific Reports, Vol 12, Iss 1, Pp 1-

2022 Volume 14

Abstract: Abstract The genus Eristalinus is widely distributed globally. Four complete mitochondrial genomes (i.e., mitogenomes) of Eristalinus were sequenced and analyzed in this study: Eristalinus viridis (Coquillett, 1898), E. quinquestriatus (Fabricius, 1781), ...

Abstract	Abstract The genus Eristalinus is widely distributed globally. Four complete mitochondrial genomes (i.e., mitogenomes) of Eristalinus were sequenced and analyzed in this study: Eristalinus viridis (Coquillett, 1898), E. quinquestriatus (Fabricius, 1781), E. tarsalis (Macquart, 1855), and E. sp. Within these four sequenced mitogenomes, most protein-coding genes (ND2, CO1, COX2, COX3, ND3, ND5, ND4, ND4L, ND6, and Cytb) began with a typical ATN (T/C/G/A) start codon and ended with a stop codon TAA or incomplete T, whereas ND1 began with the start codon TTG. ND3 ended with TAG. The secondary tRNA structure was that of a typical cloverleaf, and only the tRNA-Ser1 lacked a DHU arm. Three and five domains appeared in the 12S and 16S rRNA secondary structures, respectively. The phylogenetic relationships among the four Eristalinus species combined with the published mitogenomes of Syrphidae were reconstructed using the maximum likelihood and Bayesian inference methods, which support the monophyly of the subfamily Syrphinae but do not support that of the subfamily Eristalinae. Of note, Eristalini and Syrphini are monophyletic groups. The mitogenomes of E. viridis, E. quinquestriatus, E. sp., and E. tarsalis are useful for determining the phylogenetic relationships and evolution of Syrphidae.
Keywords	Medicine ; R ; Science ; Q
Subject code	572
Language	English
Publishing date	2022-03-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A Local Discrete Text Data Mining Method in High-Dimensional Data Space

Juan Li / Aiping Chen

International Journal of Computational Intelligence Systems, Vol 15, Iss 1, Pp 1-

2022 Volume 8

Abstract: Abstract Aiming at the problems of low accuracy, the long time required, and the large memory consumption of traditional data mining methods, a local discrete text data mining method in high-dimensional data space is proposed. First of all, through the ... ...

Abstract	Abstract Aiming at the problems of low accuracy, the long time required, and the large memory consumption of traditional data mining methods, a local discrete text data mining method in high-dimensional data space is proposed. First of all, through the data preparation and preprocessing step, we obtain the minimum data divergence and maximize the data dimension to meet the demand for data in high-dimensional space; second, we use the information gain method to mine the pre-processed discrete text data to establish an objective function to obtain the highest information gain; finally, the objective functions established in data preparation, preprocessing, and mining are combined to form a multi-objective optimization problem to realize local discrete text data mining. The simulation experiment results show that our method effectively reduces the time and improves the accuracy of data mining, where it also consumes less memory, indicating that the multi-objective optimization method can effectively solve multiple problems and effectively improve the data mining effect.
Keywords	High-dimensional data space ; Local discrete text ; Data mining ; Fuzzy rules ; MTPIG algorithm ; Multi-objective optimization ; Electronic computers. Computer science ; QA75.5-76.95
Subject code	006
Language	English
Publishing date	2022-07-01T00:00:00Z
Publisher	Springer
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Eighteen mitochondrial genomes of Syrphidae (Insecta

Hu Li / Yan Yan / Juan Li

PLoS ONE, Vol 18, Iss 1, p e

Diptera: Brachycera) with a phylogenetic analysis of Muscomorpha.

2023 Volume 0278032

Abstract: In this study, 18 mitochondrial genomes (mitogenomes) of Syrphidae were sequenced. These mitogenomes ranged from 15,648 to 16,405 bp and contained 37 genes that were similar to those from other Syrphidae species. Most protein-coding genes (PCGs) started ... ...

Abstract	In this study, 18 mitochondrial genomes (mitogenomes) of Syrphidae were sequenced. These mitogenomes ranged from 15,648 to 16,405 bp and contained 37 genes that were similar to those from other Syrphidae species. Most protein-coding genes (PCGs) started with a standard ATN codon and ended with TAA/G. All transfer RNAs (tRNAs) could be folded into the cloverleaf secondary structure except tRNA-Ser (AGN), which lacks a dihydrouridine arm. The secondary structures of ribosomal RNAs (rRNAs) were predicted. Six domains (III is absent in arthropods) and 44 helices were included in the 16S rRNA, and three domains and 24 helices were included in the 12S rRNA. We found three conserved fragments in all syrphid mitogenomes. Phylogenetic analyses were performed based on the nucleotide data of 13 PCGs and two rRNAs from 76 Muscomorpha and three outgroup species. In results the paraphyly of Aschiza and Schizophora were supported, the Acalyptratae was also paraphyletic but the relationships of its superfamilies were difficult to determine, the monophyly of Calyptratea was supported with the relationships of Oestroidea and Muscoidea need to be further reconsidered. Within Syrphidae the monophyly of family level was supported, the Syrphinae were clustered into one branch, while the paraphyly of Eristalinae was still well supported.
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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Article ; Online: Efficiency of photobiomodulation on accelerating the tooth movement in the alignment phase of orthodontic treatment—A systematic review and meta-analysis

Tu Huang / Zihao Wang / Juan Li

Heliyon, Vol 9, Iss 2, Pp e13220- (2023)

2023

Abstract: Objectives: To investigate the efficiency of photobiomodulation on accelerating the tooth movement in the alignment phase of orthodontic treatment. Materials and methods: The data search was performed with PubMed, Embase, Scopus, and the Cochrane Library. ...

Abstract	Objectives: To investigate the efficiency of photobiomodulation on accelerating the tooth movement in the alignment phase of orthodontic treatment. Materials and methods: The data search was performed with PubMed, Embase, Scopus, and the Cochrane Library. Randomized clinical trials and controlled clinical trials evaluating the efficiency of photobiomodulation on accelerating tooth movement in the alignment phase were selected, and the characteristics of the included studies were collected in a customized data form. Data analysis was conducted by the random-effects model after risk of bias and certainty of evidence were assessed. Results: Five randomized clinical trials and three controlled clinical trials were included in the final analysis. All included studies reported positive results except the study of Shehawy et al. The results of the analysis showed that photobiomodulation significantly increased the rate of tooth movement and reduced the treatment duration, compared with the control group. Although the heterogeneity was large among the included studies, it was improved after subgroup analysis. Conclusions: This systematic review offered evidence that photobiomodulation can accelerate tooth movement in alignment procedures and reduce treatment time. Future studies are needed to find the best PBM protocol for orthodontic practice.
Keywords	Photobiomodulation ; Tooth movement ; Orthodontic treatment ; Laser therapy ; Light-emitting diodes ; Alignment ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
Subject code	796
Language	English
Publishing date	2023-02-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Study on the physical and chemical properties of lead passivating agent in soil

Chengyu Han / Juan Li / Jianglong Shen

Scientific Reports, Vol 13, Iss 1, Pp 1-

2023 Volume 9

Abstract: Abstract With the rapid development of industry, heavy metal pollution has seriously damaged the health of soil, and heavy metals spread through the food chain, posing a threat to human health. The firm existence of heavy metals in soil under earthy ... ...

Abstract	Abstract With the rapid development of industry, heavy metal pollution has seriously damaged the health of soil, and heavy metals spread through the food chain, posing a threat to human health. The firm existence of heavy metals in soil under earthy conditions is a center trouble faced by soil dense metal pollution solidification and correction technology. However, the existing investigation results are mostly controlled to soil passivation experiments using various materials. Macroscopically, heavy metal passivation materials have been selected, but the intrinsic mechanisms of different compound functional groups in soil passivation have been ignored. With the common heavy metal ion Pb2+ as an example, the stability of the combination of heavy metal ions and common ion groups in soil was analyzed in this study by using quantum chemical calculation as the theoretical guidance. The results show that SO4 2− and PO4 3−, as functional groups of passivating agents, are used to control lead pollution and have been verified to have good effects. When the pollution is particularly serious and not easy to passivation and precipitation, Fe3+ can be considered to enhance the passivation effect.
Keywords	Medicine ; R ; Science ; Q
Subject code	910
Language	English
Publishing date	2023-10-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Circ_0035796 depletion inhibits transforming growth factor-β1-induced pulmonary fibrosis in a miR-150-5p/L1CAM-dependent manner

Juan Li / Xiaohong Chen / Baohong Zhang / Chenlu Wang

Autoimmunity, Vol 56, Iss

2023 Volume 1

Abstract: Background: The pathogenesis of pulmonary fibrosis is not fully understood. Previous work has demonstrated the important role of circular RNA (circRNA) in pulmonary fibrosis development. This study aims to analyse the role of circ_0035796 in pulmonary ... ...

Abstract	Background: The pathogenesis of pulmonary fibrosis is not fully understood. Previous work has demonstrated the important role of circular RNA (circRNA) in pulmonary fibrosis development. This study aims to analyse the role of circ_0035796 in pulmonary fibrosis and the underlying mechanism. Methods: Human foetal lung fibroblast 1 (HFL1) cells were treated with transforming growth factor-β1 (TGF-β1) to mimic a pulmonary fibrosis cell model. The expression of circ_0035796, microRNA-150-5p (miR-150-5p) and L1 cell adhesion molecule (L1CAM) was determined by quantitative real-time polymerase chain reaction (qRT-PCR). The protein expression of L1CAM, collagen I and fibronectin was detected by Western blot. Cell viability was analysed by CCK-8 assay. Cell proliferation, invasion and migration were investigated by 5-Ethynyl-2’-deoxyuridine (EdU) assay, transwell invasion assay and wound-healing assay, respectively. The secretion of interleukin-6 (IL-6) and tumour necrosis factor-α (TNF-α) was analysed by Enzyme-linked immunosorbent assay (ELISA). Oxidative stress was assessed by detecting Superoxide Dismutase (SOD) activity and Malondialdehyde (MDA) level using commercial kits. The association of miR-150-5p with circ_0035796 and L1CAM was identified by dual-luciferase reporter assay, RNA pull-down assay and RNA immunoprecipitation (RIP) assay. Results: Circ_0035796 and L1CAM expression were dramatically upregulated, while miR-150-5p expression was downregulated in TGF-β1-treated HFL1 cells. TGF-β1 treatment induced cell proliferation, migration, invasion, IL-6 and TNF-α secretion, and oxidative stress, whereas circ_0035796 depletion relieved these effects. In addition, circ_0035796 acted as a sponge of miR-150-5p and miR-150-5p combined with L1CAM. Moreover, miR-150-5p depletion attenuated circ_0035796 knockdown-mediated effects in TGF-β1-exposed HFL1 cells. The regulation of miR-150-5p on TGF-β1-induced fibroblast activation involved the downregulation of L1CAM. Further, circ_0035796 modulated L1CAM expression by ...
Keywords	pulmonary fibrosis ; circ_0035796 ; mir-150-5p ; l1cam ; Internal medicine ; RC31-1245
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	Taylor & Francis Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Clinical Characteristics and Prognosis of Secondary Acute Lymphoblastic Leukemia in Patients with Multiple Myeloma during Long-Term Thalidomide Maintenance

Junru Liu / Beihui Huang / Jingli Gu / Juan Li

Journal of Personalized Medicine, Vol 13, Iss 412, p

2023 Volume 412

Abstract: Background: Secondary primary malignancies (SPM) have attracted increasing attention with the application of autologous hematopoietic stem cell transplantation (ASCT) and novel agents in multiple myeloma (MM). Secondary acute lymphoblastic leukemia (sALL) ...

Abstract	Background: Secondary primary malignancies (SPM) have attracted increasing attention with the application of autologous hematopoietic stem cell transplantation (ASCT) and novel agents in multiple myeloma (MM). Secondary acute lymphoblastic leukemia (sALL) has rarely been reported, and the clinical characteristics and prognosis of sALL have not been described in detail. Methods: We retrospectively enrolled 179 consecutive newly diagnosed multiple myeloma (NDMM) patients undergoing bortezomib-based induction regimens followed by upfront ASCT and maintenance therapy from December 2006 to April 2018 in our center. Results: The median follow-up interval was 69.1 months, and 12 patients (6.7%) developed sALL during maintenance therapy. The median time from the diagnosis of MM to the occurrence of sALL was 51.1 (31.7–91.5) months. All sALL patients received thalidomide as maintenance therapy before the onset of sALL, and the median duration of thalidomide maintenance was 39.5 (24–74) months. The cumulative incidence of sALL was 6.6% and 11.2% at 5 and 10 years after the diagnosis of MM, respectively. All sALL patients presented with a B-cell immunophenotype accompanied by myeloid antigen expression according to flow cytometry analysis, and the BCR/ABL fusion gene was all negative. Only one patient had evidence of active MM, and the other patients were in stable status at the time of the diagnosis of sALL. The prognosis of most sALL patients was very poor, and the median overall survival time was 11.9 (1.1–51.2) months since the diagnosis of sALL. Conclusions: sALL should be considered for MM patients who developed unexplained persistent cytopenia while on long-term thalidomide maintenance treatment, particularly if it has been more than 3 years. With the increasing availability of new drugs for MM, thalidomide may be recommended for no more than 3 years. Sequential allogeneic hematopoietic stem cell transplantation was considered as soon as possible after achieving remission in order to achieve a longer survival.
Keywords	multiple myeloma ; acute lymphoblastic leukemia ; thalidomide ; maintenance ; Medicine ; R
Subject code	610
Language	English
Publishing date	2023-02-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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