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| 1 | Biomarkers for early diagnosis of autism obtained through bioinformatics analysis of human blood sample显示文摘Objective:autism spectrum disorder(ASD),a serious disorder that begins early in life,con-tinues throughout the lifespan.Children with ASD who are diagnosed early are more responsive to therapeutic interventions and have less social and language impair-ment than children diagnosed later;however,current di-agnostic measures are mostly applied to children older than one year and lack the appropriate biological markers for early diagnosis of ASD.Using bioinformatic analy-sis,this study explores the molecular information mech-anism of ASD.Method:in this study,we used dataset GSE6575 from Gene Expression Omnibus(GEO)to an-alyze the mRNA expression profile of ASD,including 35 ASD samples and 12 normal control samples looking for different genes and we did enrichment analysis of those genes.We then used the STRING database to construct a protein-protein interaction(PPI)network of differential genes.Finally,Cytoscape plug-in cytoHubba was used to search for hub genes.The diagnostic value of the hub genes was verified by subject operating characteristic curves.Result:we looked for 50 different genes and did an enrichment analysis of those genes.The results of the enrichment analysis showed that these differential genes were mainly concentrated in the response to viruses,the immune regulation of inflammation and energy metabo-lism.Using Cytoscape plug-in cytoHubba,we found ten different genes.We drew ROC curves for all ten genes among which two genes,interleukin 2 receptor subunit beta(IL2Rβ)and perforin 1(PRF1),had good sensitivity and specificity for the early diagnosis of autism.The ar-eas under the ROC curves were 0.855,0.830 for IL2Rβ,PRF1.Conclusion:data analysis using the GEO data-base can provide new insights into the etiology of ASD as well as some possible biomarkers and therapeutic targets for early diagnosis and treatment of ASD. | Liuyin Jin Linman Wu Zhilan Yang Junyi Xiang Wenqian Xu Chang Shu Gaohua Wang | 2021 | Journal of Translational Neuroscience2021，6，4： | 0 |
| 2 | Evaluating and correcting short-term clock drift in data from temporary seismic deployments显示文摘Temporary seismic network deployments often suffer from incorrect timing records and thus pose a challenge to fully utilize the valuable data.To inspect and fix such time problems,the ambient noise cross-correlation function(NCCF)has been widely adopted by using daily waveforms.However,it is still challenging to detect the shortterm clock drift and overcome the influence of local noise on NCCF.To address these challenges,we conduct a study on two temporary datasets,including an ocean-bottom-seismometer(OBS)dataset from the southern Mariana subduction zone and a dataset from a temporary dense network from the Weiyuan shale gas field,Sichuan,China.We first inspect the teleseismic and local event waveforms to evaluate the overall clock drift and data quality for both datasets.For the OBS dataset,NCCF using different time segments(3,6,and 12-h)beside daily waveforms data is computed to select the data length with optimal detection capability.Eventually,the 6-h segment is the preferred choice with high detection efficiency and low noise level.For the land dataset,higher drift detection is achieved by NCCF using the daily long waveforms.Meanwhile,we find that NCCF symmetry on the dense array is highly influenced by localized intense noise for large interstation distances(>1 km)but is well preserved for short interstation distances.The results have shown that the use of different segments of daily waveform data in the OBS dataset,and the careful selection of interstation distances in the land dataset substantially improved the NCCF results.All the clock drifts in both datasets are successfully corrected and verified with waveforms and NCCF.The newly developed strategies using short-segment NCCF help to overcome the existing issues to correct the clock drift of seismic data. | Aqeel Abbas Gaohua Zhu Jinping Zi Han Chen Hongfeng Yang | 2023 | Earthquake Research Advances2023，3，2： | 0 |
| 3 | High-resolution velocity structure and seismogenic potential of strong earthquakes in the Bamei-Kangding segment of the Xianshuihe fault zone显示文摘On September 5,2022,a strong MS6.8 earthquake struck the Luding area in the Kangding-Moxi segment of the Xianshuihe fault zone,which is the northern boundary of the Sichuan-Yunnan rhombic block,causing considerable casualties.The Bamei-Kangding segment of the Xianshuihe fault zone,which is located only tens of kilometers away from the Luding earthquake,has hosted frequent moderate to strong earthquakes in history and is a dangerous earthquake-prone zone.Therefore,it is critical to investigate the regional seismogenic environment for strong earthquakes and to evaluate the impact of the Luding earthquake in this area.For this purpose,we deployed a dense seismic array comprising over 200 short-period nodes in this region from July to August,2022 and acquired seismic ambient noise for over 30 days.Using the collected data,we conducted surface wave tomography and obtained a high-resolution 3-D shear wave velocity model for the regional shallow crust down to 8 km in depth.The key findings include:(1)the Bamei-Kangding segment of the Xianshuihe fault zone exhibits widespread stripped lowvelocity anomalies,suggesting shear movements at a relatively high temperature of the Xianshuihe fault zone;the Zheduoshan granitic pluton situated between the Zheduotang and southern Selaha faults shows a distinct low-velocity anomaly,which may be attributed to the localized high-temperature anomaly resulted by a deep magmatic heat source and the recent rapid uplift of the Zheduoshan area;(2)a ten-kilometer-wide high velocity body found below 4 km in depth near the Zhonggu area in the Bamei segment coincides with the seismic gap of moderate to strong earthquakes in this region,suggesting that the high velocity body may act as a seismic barrier;(3)the heterogeneity of the velocity structure along the Bamei-Kangding segment of the Xianshuihe fault zone corresponds to the regional changes in temperature,which reveals the reason for the spatially varying seismogenic potential in this segment;especially,the Selaha and Zheduotang faults which are located along the boundaries between the high and low velocity anomalies may possess considerable seismogenic potential;(4)the Coulomb failure stress calculations indicate that the Luding earthquake has imposed nontrivial stress loading in the Bamei-Kangding segment,and may shorten the earthquake recurrence intervals of the southern Selaha fault,the Zheduotang fault,and the Xuemenkan segment of the Xianshuihe fault zone.Thus,the Luding earthquake may potentially pose threats to the Sichuan-Xizang railway passing through this region. | Yan ZHAO Junlun LI Jian XU Huajian YAO Gaohua ZHU Hongfeng YANG Jinyu ZHANG Renqi LU | 2023 | Science China Earth Sciences2023，66，9： | 0 |
| 4 | A Unifi ed View of Carbon Neutrality:Solar-Driven Selective Upcycling of Waste Plastics显示文摘With the rapid development of plastic production and consumption globally,the amount of post-consumer plastic waste has reached levels that have posed environmental threats.Considering the substantial CO_(2)emissions throughout the plastic lifecycle from material production to its disposal,photocatalysis is considered a promising strategy for eff ective plastic recycling and upcycling.It can upgrade plastics into value-added products under mild conditions using solar energy,realizing zero carbon emissions.In this paper,we explain the basics of photocatalytic plastic reformation and underscores plastic feedstock reformation pathways into high-value-added products,including both degradation into CO_(2)followed by reformation and direct reformation into high-value-added products.Finally,the current applications of transforming plastic waste into fuels,chemicals,and carbon materials and the outlook on upcycling plastic waste by photocatalysis are presented,facilitating the realization of carbon neutrality and zero plastic waste. | Zhiyong Zhao Shuai Yue Gaohua Yang Pengfei Wang Sihui Zhan | 2024 | Transactions of Tianjin University2024，30，1： | 0 |
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