Objective:To explore the relationship between the dark triad, fear of missing out and smartphone addiction, as well as the mediating role of fear of missing out between the dark triad and smartphone addiction.Methods:A total of 408 college students were assessed using dirty dozen, fear of missing out scale, and mobile phone addiction index. SPSS 24.0 software was used for common method bias tests, descriptive statistical analysis, and correlation analysis. Mplus 8.3 software was employed to construct a structural equation model, and the Bootstrap method was used for mediation effect analysis.Results:The dark triad (36.14±9.06) was positively correlated with fear of missing out (22.55±6.60) and smartphone addiction (46.77±13.62) ( r=0.48, 0.45, both P<0.01). Fear of missing out was also positively correlated with smartphone addiction ( r=0.54, P<0.01). Fear of missing out played a partial mediating role in the relationship between the dark triad and smartphone addiction, with a total effect value of 0.495 and a mediating effect value of 0.217. Conclusion:Fear of missing out partially mediates the relationship between the dark triad and smartphone addiction. The dark triad not only directly predicts smartphone addiction but also indirectly influences smartphone addiction through fear of missing out.

Objective:To explore the relationship between the dark triad, fear of missing out and smartphone addiction, as well as the mediating role of fear of missing out between the dark triad and smartphone addiction.Methods:A total of 408 college students were assessed using dirty dozen, fear of missing out scale, and mobile phone addiction index. SPSS 24.0 software was used for common method bias tests, descriptive statistical analysis, and correlation analysis. Mplus 8.3 software was employed to construct a structural equation model, and the Bootstrap method was used for mediation effect analysis.Results:The dark triad (36.14±9.06) was positively correlated with fear of missing out (22.55±6.60) and smartphone addiction (46.77±13.62) ( r=0.48, 0.45, both P<0.01). Fear of missing out was also positively correlated with smartphone addiction ( r=0.54, P<0.01). Fear of missing out played a partial mediating role in the relationship between the dark triad and smartphone addiction, with a total effect value of 0.495 and a mediating effect value of 0.217. Conclusion:Fear of missing out partially mediates the relationship between the dark triad and smartphone addiction. The dark triad not only directly predicts smartphone addiction but also indirectly influences smartphone addiction through fear of missing out.

Objective:To explore the clinical manifestations and genetic basis for a rare case of Generalized arterial calcification of infancy (GACI).Methods:A 44-day-old female infant who was treated at Baoding Hospital of Beijing Children′s Hospital Affiliated to Capital Medical University on August 26, 2022 was selected as the study subject. Clinical data of the child was collected, and Trio-whole exome sequencing (Trio-WES), whole genome copy number variation sequencing (CNV-seq) and minigene splicing assay were carried out to analyze the pathogenicity of the variants.Results:The child had presented with fever and high inflammatory indicators, for which treatment with various antibiotics was ineffective. Ultrasound had revealed extensive arterial calcification and arterial wall thickening. The child was suspected for GACI with arteritis related to the primary disease. Her fever was relieved by treatment with glucocorticoid and biological agents. Trio-WES revealed that she has harbored compound heterozygous variants of the ABCC6 gene, namely c. 4404-1G>A and c. 4041+ 5G>T, for which the latter was unreported previously. Based on the guidelines from the American College of Medical Genetics and Genomics, the variants were classified as likely pathogenic (PVS1+ PM2_Supporting) and variant of unknown significance (PM2_Supporting+ PM3+ PP3), respectively. The result of CNV-seq was negative. And the minigene splicing assay has further verified that both variants can result in alternative splicing. Conclusion:For pyrexia with unknown causes and refractory to conventional treatment, it is necessary to recommend early genetic testing to avoid missed diagnosis of GACI.

Objective:To explore the innovative measures of scientific and technological achievements transformation in hospital by taking the practical experience of scientific and technological achievements transformation of West China Hospital of Sichuan University (WCH).Methods:The data of patents and technological achievements transformation of WCH was analyzed.Results:WCH applied for 1 800 patents and granted 1 145 during January 2015 and December 2019. By 2019, the conversion rate of scientific and technological achievements of WCH reached 14%.Conclusions:WCH has achieved remarkable results in promoting the scientific and technological achievements transformation through a series of innovative explorations and practices, including building professional technology transfer organizations and teams, establishing achievement transformation incentive policies, developing technology transformation standard process and regulations, creating a positive atmosphere of achievement transformation , as well as actively cultivating high-value patents.

Objective To explore the effect of radiofrequency heating on type Ⅱ collagen expression in a rabbit model of osteoarthritis.Methods Knee osteoarthritis was induced in the right hind legs of 54 male rabbits using modified Hulth modeling.The rabbits were randomly divided into a model group which was not given any special treatment,a Lugua polypeptide group and a radiofrequency hyperthermia group.The Lugua polypeptide group was injected with Lugua polypeptide;the radiofrequency hyperthermia group was treated with radiofrequency irradiation.Six,12 and 18 days after the treatment,the morphological condition of the rats' right femoral medial condyle cartilages were evaluated using modified Mankins scoring and the type Ⅱ collagen content of the cartilage was detected using a quantitative PCR technique.Results At the same time points after treatment,the average Mankins scores were decreased in all the 3 groups,with that of the model group was significantly higher than those of both of the other groups,and the radiofrequency hyperthermia group's average score was significantly better than that of the Lugua polypeptide group.The average type Ⅱ collagen content was significantly increased in all the 3 groups to various extent (the radiofrequency hyperthermia group ＞ Lugua polypeptide group ＞ model group).For the radiofrequency hyperthermia group,the average Mankins score decreased significantly and the average type Ⅱ collagen content increased significantly as the treatment continued.Conclusion Radiofrequency hyperthermia is superior to Lugua polypeptide for treating knee osteoarthritis,at least in rabbits.Its therapeutic effectiveness may be related to a significant increase of type Ⅱ collagen in the cartilage.

OBJECTIVE: To filtrate and prove the different microRNAs (miRs) profiles in nasopharyngeal carcinoma. METHOD: Screening the different expressions of miRs between nasopharyngeal carcinoma and the inflammatory tissues by the application of expression profiling of chip high-throughput and large-scale microarray analysis. Then we used RT-QPCR technology to prove the accuracy of screening results. RESULT: There were significant expression differences of miRs between nasopharyngeal carcinoma and the control tissues, 144 human miRs had 2 or more fold the difference ratio. Compared with the inflammatory tissues, we have found that miRs-34b, miRs-449b and miRs-7-1 significantly low expressed in nasopharyngeal carcinoma, yet miRs-125b, miRs-184, miRs-196b, miRs-205 and miRs-24-1 expressed high. The results were consistent with the microarray analysis. CONCLUSION The difference expressed miRs might be closely related to the process of nasopharyngeal carcinoma, and the research on miRs profiles maybe provide a powerful target basis for early diagnosis and therapy of nasopharyngeal carcinoma.
Carcinoma ; Gene Expression Profiling ; Humans ; MicroRNAs ; genetics ; Nasopharyngeal Carcinoma ; Nasopharyngeal Neoplasms ; genetics ; Oligonucleotide Array Sequence Analysis