A User-Centered Concept Mining System for Query and Document Understanding at Tencent

Concepts embody the knowledge of the world and facilitate the cognitive processes of human beings. Mining concepts from web documents and constructing the corresponding taxonomy are core research problems in text understanding and support many downstream tasks such as query analysis, knowledge base construction, recommendation, and search. However, we argue that most prior studies extract formal and overly general concepts from Wikipedia or static web pages, which are not representing the user perspective. In this paper, we describe our experience of implementing and deploying ConcepT in Tencent QQ Browser. It discovers user-centered concepts at the right granularity conforming to user interests, by mining a large amount of user queries and interactive search click logs. The extracted concepts have the proper granularity, are consistent with user language styles and are dynamically updated. We further present our techniques to tag documents with user-centered concepts and to construct a topic-concept-instance taxonomy, which has helped to improve search as well as news feeds recommendation in Tencent QQ Browser. We performed extensive offline evaluation to demonstrate that our approach could extract concepts of higher quality compared to several other existing methods. Our system has been deployed in Tencent QQ Browser. Results from online A/B testing involving a large number of real users suggest that the Impression Efficiency of feeds users increased by 6.01% after incorporating the user-centered concepts into the recommendation framework of Tencent QQ Browser.Comment: Accepted by KDD 201

Study on the Inhibitory Effects of Ephedra Aconite Asarum

Dendritic cells (DCs) can secrete cytokines stimulated by lipopolysaccharide (LPS), which leads to not just acute inflammatory responses but also Th1 polarization. Furtherly, chronic inflammation or autoimmune diseases could be triggered. As a classic Traditional Chinese Medicine formula, Ephedra Aconite Asarum Decoction with the main ingredients of ephedrine and hypaconitine can show effect on anti-inflammation and immunoregulation. But it remains unclear whether Ephedra Aconite Asarum Decoction controls DCs. In this study, we investigated the effects of Ephedra Aconite Asarum Decoction on LPS-induced bone marrow-derived DCs (BMDCs) in vitro. We found that Ephedra Aconite Asarum Decoction lowered surface costimulators on DCs and reduced the expression of Th1 type cytokines. Yet it is slightly beneficial for shifting to Th2. Our work reveals that the Ephedra Aconite Asarum Decoction can regulate Th1 inflammation through intervening DCs

COVID-19 epidemic phases and morbidity in different areas of Chinese mainland, 2020

BackgroundIn the early stage of COVID-19 epidemic, the Chinese mainland once effectively controlled the epidemic, but COVID-19 eventually spread faster and faster in the world. The purpose of this study is to clarify the differences in the epidemic data of COVID-19 in different areas and phases in Chinese mainland in 2020, and to analyze the possible factors affecting the occurrence and development of the epidemic.MethodsWe divided the Chinese mainland into areas I, I and III, and divided the epidemic process into phases I to IV: limited cases, accelerated increase, decelerated increase and containment phases. We also combined phases II and III as outbreak phase. The epidemic data included the duration of different phases, the numbers of confirmed cases, asymptomatic infections, and the proportion of imported cases from abroad.ResultsIn area I, II and III, only area I has a Phase I, and the Phase II and III of area I are longer. In Phase IV, there is a 17-day case clearing period in area I, while that in area II and III are 2 and 0 days, respectively. In phase III or the whole outbreak phase, the average daily increase of confirmed cases in area I was higher than that in areas II and III (P = 0.009 and P = 0.001 in phase III; P = 0.034 and P = 0.002 in the whole outbreak phase), and the average daily in-hospital cases were most in area I and least in area III (P = 0.000, P = 0.000, and P = 0.000 in phase III; P = 0.000, P = 0.000, and P = 0.009 in the whole outbreak phase). The average number of daily in-hospital COVID-19 cases in phase III was more than that in phase II in each area (P = 0.000, P = 0.000, and P = 0.001). In phase IV, from March 18, 2020 to January 1, 2021, the increase of confirmed cases in area III was higher than areas I and II (both P = 0.000), and the imported cases from abroad in Chinese mainland accounted for more than 55–61%. From June 16 to July 2, 2020, the number of new asymptomatic infections in area III was higher than that in area II (P = 0.000), while there was zero in area I. From July 3, 2020 to January 1, 2021, the increased COVID-19 cases in area III were 3534, while only 14 and 0, respectively, in areas I and II.ConclusionsThe worst epidemic areas in Chinese mainland before March 18, 2020 and after June 15, 2020 were area I and area III, respectively, and area III had become the main battlefield for Chinese mainland to fight against imported epidemic since March 18, 2020. In Wuhan, human COVID-19 infection might occur before December 8, 2019, while the outbreak might occur before January 16 or even 10, 2020. Insufficient understanding of COVID-19 hindered the implementation of early effective isolation measures, leading to COVID-19 outbreak in Wuhan, and strict isolation measures were effective in controlling the epidemic. The import of foreign COVID-19 cases has made it difficult to control the epidemic of area III. When humans are once again faced with potentially infectious new diseases, it is appropriate to first and foremost take strict quarantine measures as soon as possible, and mutual cooperation between regions should be explored to combat the epidemic

Identification of copper death-associated molecular clusters and immunological profiles in rheumatoid arthritis

Objective: An analysis of the relationship between rheumatoid arthritis (RA) and copper death-related genes (CRG) was explored based on the GEO dataset. / Methods: Based on the differential gene expression profiles in the GSE93272 dataset, their relationship to CRG and immune signature were analysed. Using 232 RA samples, molecular clusters with CRG were delineated and analysed for expression and immune infiltration. Genes specific to the CRGcluster were identified by the WGCNA algorithm. Four machine learning models were then built and validated after selecting the optimal model to obtain the significant predicted genes, and validated by constructing RA rat models. / Results: The location of the 13 CRGs on the chromosome was determined and, except for GCSH. LIPT1, FDX1, DLD, DBT, LIAS and ATP7A were expressed at significantly higher levels in RA samples than in non-RA, and DLST was significantly lower. RA samples were significantly expressed in immune cells such as B cells memory and differentially expressed genes such as LIPT1 were also strongly associated with the presence of immune infiltration. Two copper death-related molecular clusters were identified in RA samples. A higher level of immune infiltration and expression of CRGcluster C2 was found in the RA population. There were 314 crossover genes between the 2 molecular clusters, which were further divided into two molecular clusters. A significant difference in immune infiltration and expression levels was found between the two. Based on the five genes obtained from the RF model (AUC = 0.843), the Nomogram model, calibration curve and DCA also demonstrated their accuracy in predicting RA subtypes. The expression levels of the five genes were significantly higher in RA samples than in non-RA, and the ROC curves demonstrated their better predictive effect. Identification of predictive genes by RA animal model experiments was also confirmed. / Conclusion: This study provides some insight into the correlation between rheumatoid arthritis and copper mortality, as well as a predictive model that is expected to support the development of targeted treatment options in the future

Comprehensive molecular etiology analysis of nonsyndromic hearing impairment from typical areas in China

<p>Abstract</p> <p>Background</p> <p>Every year, 30,000 babies are born with congenital hearing impairment in China. The molecular etiology of hearing impairment in the Chinese population has not been investigated thoroughly. To provide appropriate genetic testing and counseling to families, we performed a comprehensive investigation of the molecular etiology of nonsyndromic deafness in two typical areas from northern and southern China.</p> <p>Methods</p> <p>A total of 284 unrelated school children with hearing loss who attended special education schools in China were enrolled in this study, 134 from Chifeng City in Inner Mongolia and the remaining 150 from Nangtong City in JiangSu Province. Screening was performed for <it>GJB2</it>, <it>GJB3</it>, <it>GJB6</it>, <it>SLC26A4</it>, <it>12S rRNA</it>, <it>and tRNA</it>^{<it>ser</it>(<it>UCN</it>)}genes in this population. All patients with <it>SLC26A4 </it>mutations or variants were subjected to high-resolution temporal bone CT scan to verify the enlarged vestibular aqueduct.</p> <p>Results</p> <p>Mutations in the <it>GJB2 </it>gene accounted for 18.31% of the patients with nonsyndromic hearing loss, 1555A>G mutation in mitochondrial DNA accounted for 1.76%, and <it>SLC26A4 </it>mutations accounted for 13.73%. Almost 50% of the patients with nonsyndromic hearing loss in these typical Chinese areas carried <it>GJB2 </it>or <it>SLC26A4 </it>mutations. No significant differences in mutation spectrum or prevalence of <it>GJB2 </it>and <it>SLC26A4 </it>were found between the two areas.</p> <p>Conclusion</p> <p>In this Chinese population, 54.93% of cases with hearing loss were related to genetic factors. The <it>GJB2 </it>gene accounted for the etiology in about 18.31% of the patients with hearing loss, <it>SLC26A4 </it>accounted for about 13.73%, and <it>mtDNA </it>1555A>G mutation accounted for 1.76%. Mutations in <it>GJB3, GJB6</it>, and <it>mtDNA tRNA</it>^{<it>ser</it>(<it>UCN</it>)}were not common in this Chinese cohort. Conventionally, screening is performed for <it>GJB2</it>, <it>SLC26A4</it>, and mitochondrial <it>12S rRNA </it>in the Chinese deaf population.</p

Gujin Dan is a Chinese medicine formulation that stimulates cell proliferation and differentiation by controlling multiple genes involved in MC3T3-E1 cells

Background: With the development of Traditional Chinese medicine (TCM) in recent years, the use of TCM in the treatment of osteoporosis has received much attention and research. Gujin Dan (GJD) is one of the representative Chinese medicine formulations that work synergistically with 19 herbs and has been used for decades to treat cervical spondylosis, lumbar disc herniation, osteoarthritis and osteoporosis. However, the exact molecular mechanism by which GJD is used to strengthen bones in the treatment of osteoporosis remains largely unknown. / Methods: In this study, an aqueous extract of GJD was prepared and its components were identified by high-performance liquid chromatography (HPLC). The effect of GJD aqueous extract on MC3T3-E1 cells was determined by Cell Counting Kit-8 (CCK-8) assay, alkaline phosphatase (ALP), and alizarin red S staining (ARS), combined with RNA sequencing (RNA-seq) and qRT-PCR. / Results: Our study showed that GJD significantly promoted the proliferation of MC3T3-E1 cells, as well as the synthesis and mineralisation of the extracellular matrix. GJD significantly increased the expression levels of genes that promote cell proliferation such as Adamts1, Mcam, Cyr61, Fos, Cebpd, Fosl2, Sirt1, Nipbl, Sema3c and Kcnq1ot1, up-regulated genes that inhibit apoptosis such as Gadd45a, Birc3, up-regulated genes that inhibit osteoclastogenesis such as Bcl6, Nfkbiz, Clcf1, Bcl3, Lgals3, Wisp1, Dusp1 and Fblim1, up-regulated genes that promote MC3T3-E1 cell differentiation such as Junb, Egr1, Klf10, Atf6, Malat1, Btg2, Sertad4, Zfyve16, Tet2, Creb5, Snai2, Fam46a, Calcrl and Pdzrn3. In addition, GJD mildly upregulated the expression levels of gene markers such as Atf4, Fn1, Usp7, Sox4, Col16a1, Spp1, Bmp1, Runx2, Bglap, Col12a1, and Alpl in osteoblasts. / Conclusions: Our results show that GJD promotes the differentiation and proliferation of MC3T3-E1 cells, inhibits osteoclast formation, and prevents osteoblast apoptosis. The present study significantly improves the current understanding of the molecular effects of GJD on MC3T3-E1 cells. This study also provides a new strategy for the further use of Chinese medicinal preparations against bone metabolism-related diseases

Genome-Wide Linkage Mapping Reveals QTLs for Seed Vigor-Related Traits Under Artificial Aging in Common Wheat (Triticum aestivum)

Long-term storage of seeds leads to lose seed vigor with slow and non-uniform germination. Time, rate, homogeneity, and synchrony are important aspects during the dynamic germination process to assess seed viability after storage. The aim of this study is to identify quantitative trait loci (QTLs) using a high-density genetic linkage map of common wheat (Triticum aestivum) for seed vigor-related traits under artificial aging. Two hundred and forty-six recombinant inbred lines derived from the cross between Zhou 8425B and Chinese Spring were evaluated for seed storability. Ninety-six QTLs were detected on all wheat chromosomes except 2B, 4D, 6D, and 7D, explaining 2.9–19.4% of the phenotypic variance. These QTLs were clustered into 17 QTL-rich regions on chromosomes 1AL, 2DS, 3AS (3), 3BS, 3BL (2), 3DL, 4AS, 4AL (3), 5AS, 5DS, 6BL, and 7AL, exhibiting pleiotropic effects. Moreover, 10 stable QTLs were identified on chromosomes 2D, 3D, 4A, and 6B (QaMGT.cas-2DS.2, QaMGR.cas-2DS.2, QaFCGR.cas-2DS.2, QaGI.cas-3DL, QaGR.cas-3DL, QaFCGR.cas-3DL, QaMGT.cas-4AS, QaMGR.cas-4AS, QaZ.cas-4AS, and QaGR.cas-6BL.2). Our results indicate that one of the stable QTL-rich regions on chromosome 2D flanked by IWB21991 and IWB11197 in the position from 46 to 51 cM, presenting as a pleiotropic locus strongly impacting seed vigor-related traits under artificial aging. These new QTLs and tightly linked SNP markers may provide new valuable information and could serve as targets for fine mapping or markers assisted breeding