21 research outputs found

    Context-aware Deep Model for Entity Recommendation in Search Engine at Alibaba

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    Entity recommendation, providing search users with an improved experience via assisting them in finding related entities for a given query, has become an indispensable feature of today's search engines. Existing studies typically only consider the queries with explicit entities. They usually fail to handle complex queries that without entities, such as "what food is good for cold weather", because their models could not infer the underlying meaning of the input text. In this work, we believe that contexts convey valuable evidence that could facilitate the semantic modeling of queries, and take them into consideration for entity recommendation. In order to better model the semantics of queries and entities, we learn the representation of queries and entities jointly with attentive deep neural networks. We evaluate our approach using large-scale, real-world search logs from a widely used commercial Chinese search engine. Our system has been deployed in ShenMa Search Engine and you can fetch it in UC Browser of Alibaba. Results from online A/B test suggest that the impression efficiency of click-through rate increased by 5.1% and page view increased by 5.5%.Comment: CIKM2019 International Workshop on Entity Retrieval. arXiv admin note: text overlap with arXiv:1511.08996 by other author

    Global Stabilization of High-Order Time-Delay Nonlinear Systems under a Weaker Condition

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    Under the weaker condition on the system growth, this paper further investigates the problem of global stabilization by state feedback for a class of high-order nonlinear systems with time-varying delays. By skillfully using the homogeneous domination approach, a continuous state feedback controller is successfully designed, which preserves the equilibrium at the origin and guarantees the global asymptotic stability of the resulting closed-loop system. A simulation example is given to demonstrate the effectiveness of the proposed design procedure

    Screening Driving Transcription Factors in the Processing of Gastric Cancer

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    Background. Construction of the transcriptional regulatory network can provide additional clues on the regulatory mechanisms and therapeutic applications in gastric cancer. Methods. Gene expression profiles of gastric cancer were downloaded from GEO database for integrated analysis. All of DEGs were analyzed by GO enrichment and KEGG pathway enrichment. Transcription factors were further identified and then a global transcriptional regulatory network was constructed. Results. By integrated analysis of the six eligible datasets (340 cases and 43 controls), a bunch of 2327 DEGs were identified, including 2100 upregulated and 227 downregulated DEGs. Functional enrichment analysis of DEGs showed that digestion was a significantly enriched GO term for biological process. Moreover, there were two important enriched KEGG pathways: cell cycle and homologous recombination. Furthermore, a total of 70 differentially expressed TFs were identified and the transcriptional regulatory network was constructed, which consisted of 566 TF-target interactions. The top ten TFs regulating most downstream target genes were BRCA1, ARID3A, EHF, SOX10, ZNF263, FOXL1, FEV, GATA3, FOXC1, and FOXD1. Most of them were involved in the carcinogenesis of gastric cancer. Conclusion. The transcriptional regulatory network can help researchers to further clarify the underlying regulatory mechanisms of gastric cancer tumorigenesis

    Conceptualized Representation Learning for Chinese Biomedical Text Mining

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    Biomedical text mining is becoming increasingly important as the number of biomedical documents and web data rapidly grows. Recently, word representation models such as BERT has gained popularity among researchers. However, it is difficult to estimate their performance on datasets containing biomedical texts as the word distributions of general and biomedical corpora are quite different. Moreover, the medical domain has long-tail concepts and terminologies that are difficult to be learned via language models. For the Chinese biomedical text, it is more difficult due to its complex structure and the variety of phrase combinations. In this paper, we investigate how the recently introduced pre-trained language model BERT can be adapted for Chinese biomedical corpora and propose a novel conceptualized representation learning approach. We also release a new Chinese Biomedical Language Understanding Evaluation benchmark (\textbf{ChineseBLUE}). We examine the effectiveness of Chinese pre-trained models: BERT, BERT-wwm, RoBERTa, and our approach. Experimental results on the benchmark show that our approach could bring significant gain. We release the pre-trained model on GitHub: https://github.com/alibaba-research/ChineseBLUE.Comment: WSDM2020 Health Da

    AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba

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    Conceptual graphs, which is a particular type of Knowledge Graphs, play an essential role in semantic search. Prior conceptual graph construction approaches typically extract high-frequent, coarse-grained, and time-invariant concepts from formal texts. In real applications, however, it is necessary to extract less-frequent, fine-grained, and time-varying conceptual knowledge and build taxonomy in an evolving manner. In this paper, we introduce an approach to implementing and deploying the conceptual graph at Alibaba. Specifically, We propose a framework called AliCG which is capable of a) extracting fine-grained concepts by a novel bootstrapping with alignment consensus approach, b) mining long-tail concepts with a novel low-resource phrase mining approach, c) updating the graph dynamically via a concept distribution estimation method based on implicit and explicit user behaviors. We have deployed the framework at Alibaba UC Browser. Extensive offline evaluation as well as online A/B testing demonstrate the efficacy of our approach.Comment: Accepted by KDD 2021 (Applied Data Science Track

    Clinical evaluation of CEA, CA19-9, CA72-4 and CA125 in gastric cancer patients with neoadjuvant chemotherapy

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    The detail of the en bloc technique and prognosis of spleen-preserving laparoscopic distal pancreatectomy for pancreatic cancer

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    Background: Although laparoscopic spleen-preserving distal pancreatectomy surgery is more and more popular, the reports about the en bloc technique used for pancreatic cancer were still rare. The aim of our study was to illustrate the detail of the spleen-preserving en bloc technique as well as the short-term and long-term outcomes. Methods: The detail of the en bloc technique with pictures was described. The prognosis of the successive 23 cases that underwent the laparoscopic distal pancreatectomy (LDP) surgery was evaluated. Results: There were 17 cases that underwent spleen-preserving LDP while six cases underwent spleen-resecting LDP. The average surgery time was 203 +/- 54 min, and the average blood loss volume was 208 +/- 264 ml; one case transferred to open surgery because of severe adhesion. The complication rate was 47 % (n = 8) shortly after surgery. Pancreatic fistula rate was 41 % (n = 7). No lethal case occurred. The average diameter of the tumor was 32 +/- 12 mm. The average number of the lymph nodes obtained was 19.8 +/- 9.3. All the cutting edges were negative. Survival rates of the patient after 1, 3, and 5 years are 64.7, 52.9, and 41.2 %, respectively. These records showed no statistical significance compared with spleen-resecting LDP and open distal pancreatectomy (ODP) surgeries. Conclusions: The en bloc spleen-preserving LDP can be performed by experienced surgeons. This surgery has good short-term and long-term outcomes.Beijing Municipal Administration of Hospitals Clinical Medicine Development of Special Funding Support [XMLX201309]; Japan-China Sasakawa Medical FellowshipSCI(E)[email protected]

    Experimental Investigation on Friction Coefficient between Sawtooth Steel Plate and Concrete

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    It is easy to think of using sawtooth steel plate on the surface of column to increase the interfacial friction in the temporary RC column underpinning structure. However, there is little research on the friction properties between sawtooth steel plate and concrete. 108 working condition of double interface shear tests were conducted for measuring the friction coefficient between the sawtooth steel plate and the concrete, and the effects of concrete strength, sawtooth size, interface contact method and interface normal pressure on the friction coefficient were also analyzed. The results show that concrete strength on the friction coefficient is not significant when the interface normal pressure is less than 6MPa. After the use of sawtooth steel, the coefficient of friction is greatly improved, and the friction coefficient is approximately linearly related to the aspect ratio of the sawtooth. Damage on the concrete surface will be reduced after adding a flexible material at the contacting interface, but at the same time, it will reduce the friction coefficient. When the sawtooth steel is in direct contact with the concrete, the friction coefficient increases with increasing normal pressure at the interface, however, when the interface is added with flexible material, the friction coefficient is almost irrelevant to the normal pressure

    Short- and long-term outcomes as well as anal function of transanal natural orifice specimen extraction surgery versus conventional laparoscopic surgery for sigmoid colon or rectal cancer resection: a retrospective study with over 5-year follow-up

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    INTRODUCTION: To date, long-term safety including functional outcomes of transanal natural orifice specimen extraction surgery (NOSES) for colorectal cancer resection has not been confirmed. AIM: To explore the short- and long-term outcomes as well as anal function of transanal NOSES versus conventional laparoscopic surgery for sigmoid colon or rectal cancer resection. MATERIAL AND METHODS: A retrospective review of data from a prospectively maintained database was performed to analyze the data of 69 patients who underwent transanal NOSES for sigmoid colon or rectal cancer resections and another 69 matched patients who underwent conventional laparoscopic (CL) surgery. Anal function of patients was evaluated using the Wexner fecal incontinence scale postoperatively. RESULTS: Transanal NOSES resulted in faster recovery of intestinal function, shorter postoperative length of stay, less incisional pain, fewer postoperative complications and shorter scars than CL surgery (p < 0.05). The two groups had similar overall survival (p = 0.863) and disease-free survival (p = 0.961). Wexner scores of the NOSES group at 1, 3 and 6 months after surgery were higher than in the CL group (p < 0.05), and there was no difference between the two groups at 12, 18 and 24 months after surgery. CONCLUSIONS: Transanal NOSES achieves similar survival outcomes to CL surgery. Transanal NOSES has the advantages of faster recovery, shorter postoperative hospital stay, less incisional pain, shorter scars, etc. However, transanal NOSES can indeed impair anal function, needing more attention

    Trimethylamine oxide and serum amyloid A in diagnosis of chronic cerebral hypoperfusion

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    ObjectiveTo investigate the diagnostic value of trimethylamine N-Oxide (TMAO) and serum amyloid A (SAA) levels in peripheral blood of patients with chronic cerebral hypoperfusion (CCH). MethodsThe patients attending the Department of Neurology of Sichuan Provincial Peoples Hospital from February 2022 to June 2022 were divided into CCH group (n=55) and control group (n=42) based on the results of magnetic resonance arterial spin labeling (ASL). The levels of TMAO and SAA were detected by ELISA and their diagnostic value for CCH were anaylzed by ROC curve. ResultsThe levels of TMAO (47.24±8.84 vs 40.81±8.33, t=3.639, P<0.05) and SAA (14.04±2.70 vs 12.20±2.30, t=3.542, P<0.05) in CCH group were significantly higher than those in control group. High levels of TMAO and SAA and history of primary hypertension were independent risk factors for the occurrence of CCH (P<0.05). The areas under ROC curve (AUC) of TMAO and SAA for diagnosing CCH were 0.701 (95%CI: 0.594-0.809) respectively and 0.675 (95%CI: 0.565-0.786). The combined detection of TMAO and SAA achieved the highest AUC of 0.765 (95%CI: 0.667-0.863). ConclusionBoth TMAO and SAA are related to the occurrence of CCH and can be used as auxiliary diagnostic indicators for CCH
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