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  1. Article ; Online: The Influence of Virtual Idol Characteristics on Consumers’ Clothing Purchase Intention

    Qian-Qian Huang / Hong-Jian Qu / Pei Li

    Sustainability, Vol 14, Iss 14, p

    2022  Volume 8964

    Abstract: In the context of a company actively using virtual idols to carry out marketing activities, it is very important to help the company understand the key factors affecting consumer purchase intention. In total, 459 eligible responses were collected via an ... ...

    Abstract In the context of a company actively using virtual idols to carry out marketing activities, it is very important to help the company understand the key factors affecting consumer purchase intention. In total, 459 eligible responses were collected via an online questionnaire survey. The psychometric properties of the model were examined by factor analysis, and the multiple regression method was applied to test the hypotheses. This paper empirically analyzes the influence of virtual idol characteristics on consumers’ willingness to buy brand clothing, with consumers’ attitudes as intermediary variables and clients’ involvement in virtual idolatry and adult playfulness as adjusting variables. A quasi-replication study method using both MRA and fsQCA found that the popularity, homogeneity, relevance and anthropomorphism of virtual idols enhance customers’ willingness to buy from big to small. Among them, attitude plays an intermediary role in the influence of popularity on purchase intention, and plays a complete intermediary role in the influence of relevance and homogeneity over purchase intention; consumer idolatry involvement positively regulates the relationship between professionalism, relevance and attitude; consumers’ adult playfulness positively regulates the relationship between popularity and consumer attitude. Finally, from the perspective of improving attitude and purchase intention, we provide suggestions for virtual idol creation applicable by operation teams and clothing brand companies.
    Keywords virtual idol ; marketing ; attitude ; adult playfulness ; idolatry ; purchase intention ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 650
    Language English
    Publishing date 2022-07-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: A hydraulic soft microgripper for biological studies

    Sina Baghbani Kordmahale / Jian Qu / Anastasia Muliana / Jun Kameoka

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

    2022  Volume 13

    Abstract: Abstract We have developed a microscale hydraulic soft gripper and demonstrated the handling of an insect without damage. This gripper is built on Polydimethylsiloxane (PDMS) with the soft material casting technique to form three finger-like columns, ... ...

    Abstract Abstract We have developed a microscale hydraulic soft gripper and demonstrated the handling of an insect without damage. This gripper is built on Polydimethylsiloxane (PDMS) with the soft material casting technique to form three finger-like columns, which are placed on a circular membrane. The fingers have a length of 1.5 mm and a diameter of 300 µm each; the distance between the two fingers is 600 µm of center-to-center distance. A membrane as a 150 µm soft film is built on top of a cylindrical hollow space. Applying pressure to the interior space can bend the membrane. Bending the membrane causes the motion of opening/closing of the gripper, and as a result, the three fingers can grip an object or release it. The PDMS was characterized, and the experimental results were used later in Abaqus software to simulate the gripping motion. The range of deformation of the gripper was investigated by simulation and experiment. The result of the simulation agrees with the experiments. The maximum 543 µN force was measured for this microfluidic-compatible microgripper and it could lift a ball that weighs 168.4 mg and has a 0.5 mm diameter. Using this microgripper, an ant was manipulated successfully without any damage. Results showed fabricated device has great a potential as micro/bio manipulator.
    Keywords Medicine ; R ; Science ; Q
    Subject code 629
    Language English
    Publishing date 2022-12-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Comparative and Phylogenetic Analysis of Complete Plastomes among Aristidoideae Species (Poaceae)

    Xiu-Xiu Guo / Xiao-Jian Qu / Xue-Jie Zhang / Shou-Jin Fan

    Biology, Vol 11, Iss 63, p

    2022  Volume 63

    Abstract: Aristidoideae is a subfamily in the PACMAD clade of family Poaceae, including three genera, Aristida , Stipagrostis , and Sartidia. In this study, the plastomes of Aristida adscensionis and Stipagrostis pennata were newly sequenced, and a total of 16 ... ...

    Abstract Aristidoideae is a subfamily in the PACMAD clade of family Poaceae, including three genera, Aristida , Stipagrostis , and Sartidia. In this study, the plastomes of Aristida adscensionis and Stipagrostis pennata were newly sequenced, and a total of 16 Aristidoideae plastomes were compared. All plastomes were conservative in genome size, gene number, structure, and IR boundary. Repeat sequence analysis showed that forward and palindrome repeats were the most common repeat types. The number of SSRs ranged from 30 ( Sartidia isaloensis ) to 54 ( Aristida purpurea ). Codon usage analysis showed that plastome genes preferred to use codons ending with A/T. A total of 12 highly variable regions were screened, including four protein coding sequences ( mat K, ndh F, inf A, and rpl 32) and eight non-coding sequences ( rpl 16-1- rpl 16-2, ccs A- ndh D, trn Y-GUA- trn D-GUC, ndh F- rpl 32, pet N- trn C-GCA, trn T-GGU- trn E-UUC, trn G-GCC- trn fM-CAU, and rpl 32- trn L-UAG). Furthermore, the phylogenetic position of this subfamily and their intergeneric relationships need to be illuminated. All Maximum Likelihood and Bayesian Inference trees strongly support the monophyly of Aristidoideae and each of three genera, and the clade of Aristidoideae and Panicoideae was a sister to other subfamilies in the PACMAD clade. Within Aristidoideae, Aristida is a sister to the clade composed of Stipagrostis and Sartidia . The divergence between C 4 Stipagrostis and C 3 Sartidia was estimated at 11.04 Ma, which may be associated with the drought event in the Miocene period. Finally, the differences in carbon fixation patterns, geographical distributions, and ploidy may be related to the difference of species numbers among these three genera. This study provides insights into the phylogeny and evolution of the subfamily Aristidoideae.
    Keywords Aristidoideae ; plastome ; comparative genomics ; phylogenomics ; species diversification ; Biology (General) ; QH301-705.5
    Subject code 590
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Small Interfering RNA for Gliomas Treatment

    Xin-Qi Teng / Jian Qu / Guo-Hua Li / Hai-Hui Zhuang / Qiang Qu

    Frontiers in Cell and Developmental Biology, Vol

    Overcoming Hurdles in Delivery

    2022  Volume 10

    Abstract: Gliomas are central nervous system tumors originating from glial cells, whose incidence and mortality rise in coming years. The current treatment of gliomas is surgery combined with chemotherapy or radiotherapy. However, developing therapeutic resistance ...

    Abstract Gliomas are central nervous system tumors originating from glial cells, whose incidence and mortality rise in coming years. The current treatment of gliomas is surgery combined with chemotherapy or radiotherapy. However, developing therapeutic resistance is one of the significant challenges. Recent research suggested that small interfering RNA (siRNA) has excellent potential as a therapeutic to silence genes that are significantly involved in the manipulation of gliomas’ malignant phenotypes, including proliferation, invasion, metastasis, therapy resistance, and immune escape. However, it is challenging to deliver the naked siRNA to the action site in the cells of target tissues. Therefore, it is urgent to develop delivery strategies to transport siRNA to achieve the optimal silencing effect of the target gene. However, there is no systematic discussion about siRNAs’ clinical potential and delivery strategies in gliomas. This review mainly discusses siRNAs’ delivery strategies, especially nanotechnology-based delivery systems, as a potential glioma therapy. Moreover, we envisage the future orientation and challenges in translating these findings into clinical applications.
    Keywords gliomas ; glioblastoma ; siRNA ; delivery ; nanoparticles ; therapy-resistance ; Biology (General) ; QH301-705.5
    Subject code 610
    Language English
    Publishing date 2022-07-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: A New Multi-Attribute Emergency Decision-Making Algorithm Based on Intuitionistic Fuzzy Cross-Entropy and Comprehensive Grey Correlation Analysis

    Ping Li / Ying Ji / Zhong Wu / Shao-Jian Qu

    Entropy, Vol 22, Iss 768, p

    2020  Volume 768

    Abstract: Intuitionistic fuzzy distance measurement is an effective method to study multi-attribute emergency decision-making (MAEDM) problems. Unfortunately, the traditional intuitionistic fuzzy distance measurement method cannot accurately reflect the difference ...

    Abstract Intuitionistic fuzzy distance measurement is an effective method to study multi-attribute emergency decision-making (MAEDM) problems. Unfortunately, the traditional intuitionistic fuzzy distance measurement method cannot accurately reflect the difference between membership and non-membership data, where it is easy to cause information confusion. Therefore, from the intuitionistic fuzzy number (IFN), this paper constructs a decision-making model based on intuitionistic fuzzy cross-entropy and a comprehensive grey correlation analysis algorithm. For the MAEDM problems of completely unknown and partially known attribute weights, this method establishes a grey correlation analysis algorithm based on the objective evaluation value and subjective preference value of decision makers (DMs), which makes up for the shortcomings of traditional model information loss and greatly improves the accuracy of MAEDM. Finally, taking the Wenchuan Earthquake on May 12th 2008 as a case study, this paper constructs and solves the ranking problem of shelters. Through the sensitivity comparison analysis, when the grey resolution coefficient increases from 0.4 to 1.0, the ranking result of building shelters remains stable. Compared to the traditional intuitionistic fuzzy distance, this method is shown to be more reliable.
    Keywords multi-attribute emergency decision-making ; intuitionistic fuzzy cross-entropy ; grey correlation analysis ; earthquake shelters ; attribute weights ; Science ; Q ; Astrophysics ; QB460-466 ; Physics ; QC1-999
    Subject code 006
    Language English
    Publishing date 2020-07-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Identification of Unknown Abnormal Conditions in Catalytic Cracking Process Based on Two-Step Clustering Analysis and Signed Directed Graph

    Juan Hong / Jian Qu / Wende Tian / Zhe Cui / Zijian Liu / Yang Lin / Chuankun Li

    Processes, Vol 9, Iss 2055, p

    2021  Volume 2055

    Abstract: There are many unknown abnormal working conditions in industrial production. It is difficult to identify unknown abnormal working conditions because there are few relative sample and experience in this field. To solve this problem, a new identification ... ...

    Abstract There are many unknown abnormal working conditions in industrial production. It is difficult to identify unknown abnormal working conditions because there are few relative sample and experience in this field. To solve this problem, a new identification method combining two-step clustering analysis and signed directed graph (TSCA-SDG) is proposed. Firstly, through correlation analysis and R-type clustering analysis, the variables are effectively selected and extracted. Then, a two-step clustering analysis was carried out on the selected variables to obtain the cluster results. Through the establishment of the signed directed graph (SDG) model, the causes of abnormal working conditions and their mutual influence are deduced from the mechanism. The application of the TSCA-SDG method in the catalytic cracking process shows that this method has good performance for abnormal condition identification.
    Keywords two-step clustering analysis ; signed directed graph ; catalytic cracking process ; abnormal identification ; Chemical technology ; TP1-1185 ; Chemistry ; QD1-999
    Language English
    Publishing date 2021-11-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article: Heat transfer performance of a novel tubular oscillating heat pipe with sintered copper particles inside flat-plate evaporator and high-power LED heat sink application

    Wang, Hai / Jian Qu / Youquan Peng / Qin Sun

    Energy conversion and management. 2019 June 01, v. 189

    2019  

    Abstract: A novel tubular oscillating heat pipe (OHP) with sintered copper particles (SCPs) inside a flat-plate evaporator for the thermal management of high-power LED chips was designed and fabricated. The thermal performance of designed OHP, temperature ... ...

    Abstract A novel tubular oscillating heat pipe (OHP) with sintered copper particles (SCPs) inside a flat-plate evaporator for the thermal management of high-power LED chips was designed and fabricated. The thermal performance of designed OHP, temperature distribution and illumination profiles of LED array were experimentally tested and evaluated. Results showed that the addition of SCPs on the evaporator of OHP can facilitate the startup and make oscillating motions of liquid-plugs/vapor-bubbles inside copper tubes more easily. A lowest thermal resistance of 0.168 K/W was achieved by the OHP with SCPs when the input power to the LED array was 60 W, and the corresponding maximum LED temperature can be controlled below 70 °C. The temperature distribution of LED array at different inclination angles was almost coincident and achieved good uniformity if the designed OHP was operated at low filling ratios, indicating that the gravity action can be partially neglected. It was also found that the temperature of LED array was inversely proportional to the illumination intensity, and a high filling ratio can cause the degradation of illumination intensity of LED chips. A low filling ratio of 30% was preferred for the designed OHP applied in high-power LED cooling.
    Keywords cooling ; copper ; gravity ; heat tolerance ; heat transfer ; light intensity ; lighting ; temperature
    Language English
    Dates of publication 2019-0601
    Size p. 215-222.
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 2000891-0
    ISSN 0196-8904
    ISSN 0196-8904
    DOI 10.1016/j.enconman.2019.03.093
    Database NAL-Catalogue (AGRICOLA)

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  8. Article ; Online: Super-Enhancer Associated Five-Gene Risk Score Model Predicts Overall Survival in Multiple Myeloma Patients

    Tingting Qi / Jian Qu / Chao Tu / Qiong Lu / Guohua Li / Jiaojiao Wang / Qiang Qu

    Frontiers in Cell and Developmental Biology, Vol

    2020  Volume 8

    Abstract: Multiple myeloma (MM) is a malignant plasma cell tumor with high heterogeneity, characterized by anemia, hypercalcemia, renal failure, and lytic bone lesions. Although various powerful prognostic factors and models have been exploited, the development of ...

    Abstract Multiple myeloma (MM) is a malignant plasma cell tumor with high heterogeneity, characterized by anemia, hypercalcemia, renal failure, and lytic bone lesions. Although various powerful prognostic factors and models have been exploited, the development of more accurate prognosis and treatment for MM patients is still facing many challenges. Given the essential roles of super-enhancer (SE) associated genes in the tumorigenesis of MM, we tried to initially screen and identify the significant prognostic factors from SE associated genes in MM by the least absolute shrinkage and selection operator (Lasso) penalized Cox regression, univariate and multivariate Cox regression analysis using GSE24080 and GSE9782 datasets. Risk score model of five genes including CSGALNACT1, FAM53B, TAPBPL, REPIN1, and DDX11, was further constructed and the Kaplan-Meier (K-M) curves showed that the low-risk group seems to have better clinical outcome of survival compared to the high-risk group. Time-dependent receiver operating characteristic (ROC) curves presented the favorable performance of the model. An interactive nomogram consisting of the five-gene risk group and eleven clinical traits was established and identified by calibration curves. Therefore, the risk score model of SE associated five genes developed here could be used to predict the prognosis of MM patients, which may assist the clinical treatment of MM patients in the future.
    Keywords multiple myeloma ; super-enhancer ; LASSO ; overall survival ; risk score model ; Biology (General) ; QH301-705.5
    Subject code 610
    Language English
    Publishing date 2020-12-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Functions and Clinical Significance of Super-Enhancers in Bone-Related Diseases

    Jian Qu / Zhanbo Ouyang / Wenqiang Wu / Guohua Li / Jiaojiao Wang / Qiong Lu / Zhihong Li

    Frontiers in Cell and Developmental Biology, Vol

    2020  Volume 8

    Abstract: Super-enhancers (SEs) are a large cluster of cis-regulatory DNA elements that contain many binding motifs, which master transcription factors and cofactors bind to with high density. SEs usually regulate the expression of genes that can control the cell ... ...

    Abstract Super-enhancers (SEs) are a large cluster of cis-regulatory DNA elements that contain many binding motifs, which master transcription factors and cofactors bind to with high density. SEs usually regulate the expression of genes that can control the cell identity and fate, and SEs can be used to explain the patterns of the expression of cell-specific genes. Hence, it shows great potential for application in the treatment of diseases like cancer. At present, the clinical treatments for osteosarcoma, Ewing sarcoma, and other bone-related diseases remain challenging. The poor prognosis and difficult treatment of these diseases imposes heavy economic burden on patients and society. In recent years, research on SEs with respect to bone-related diseases has attracted increasing attention. In this paper, we first review the identification and functional mechanisms of SEs. Then, we integrate the findings of the emerging studies on SEs in bone-related diseases. Finally, we summarize recent strategies for targeting SEs for the treatment of bone-related diseases. This review aims to provide comprehensive insights into the roles of SEs in bone-related diseases.
    Keywords super-enhancers ; bone-related diseases ; osteosarcoma ; Ewing sarcoma ; multiple myeloma ; Biology (General) ; QH301-705.5
    Subject code 610
    Language English
    Publishing date 2020-06-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Corrigendum

    Zhanbo Ouyang / Guohua Li / Haihong Zhu / Jiaojiao Wang / Tingting Qi / Qiang Qu / Chao Tu / Jian Qu / Qiong Lu

    Frontiers in Cell and Developmental Biology, Vol

    Construction of a Five-Super-Enhancer-Associated-Genes Prognostic Model for Osteosarcoma Patients

    2021  Volume 8

    Keywords osteosarcoma ; super-enhancer ; prognostic model ; Lasso ; weighted gene co-expression network analysis ; overall survival ; Biology (General) ; QH301-705.5
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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