A TOPIC SENSITIVE SIMRANK (TSSR) MODEL FOR EXPERTS FINDING ON ONLINE RESEARCH SOCIAL PLATFORMS

As an efficient online academic information repository and information channel with crowds’ contribution, online research social platforms have become an efficient tool for various kinds of research & management applications. Social network platforms have also become a major source to seek for field experts. They have advantages of crowd contributions, easy to access without geographic restrictions and avoiding conflict of interests over traditional database and search engine based approaches. However, current research attempts to find experts based on features such as published research work, social relationships, and online behaviours (e.g. reads and downloads of publications) on social platforms, they ignore to verify the reliability of identified experts. To bridge this gap, this research proposes an innovative Topic Sensitive SimRank (TSSR) model to identify “real” experts on social network platforms. TSSR model includes three components: LDA for Expertise Extension, Topic Sensitive Network for Reputation Measurement, and Topic Sensitive SimRank for unsuitable experts detection. We also design a parallel computing strategy to improve the efficiency of the proposed methods. Last, to verify the effectiveness of the proposed model, we design an experiment on one of the research social platforms-ScholarMate to seek for experts for companies that need academic-industry collaboration

Epigenetics in ovarian cancer: premise, properties, and perspectives.

Malignant ovarian tumors bear the highest mortality rate among all gynecological cancers. Both late tumor diagnosis and tolerance to available chemical therapy increase patient mortality. Therefore, it is both urgent and important to identify biomarkers facilitating early identification and novel agents preventing recurrence. Accumulating evidence demonstrates that epigenetic aberrations (particularly histone modifications) are crucial in tumor initiation and development. Histone acetylation and methylation are respectively regulated by acetyltransferases-deacetylases and methyltransferases-demethylases, both of which are implicated in ovarian cancer pathogenesis. In this review, we summarize the most recent discoveries pertaining to ovarian cancer development arising from the imbalance of histone acetylation and methylation, and provide insight into novel therapeutic interventions for the treatment of ovarian carcinoma

Comparison analysis of microRNAs in response to EV71 and CA16 infection in human bronchial epithelial cells by high-throughput sequencing to reveal differential infective mechanisms

AbstractHand, foot, and mouth disease (HFMD) mainly caused by Enterovirus 71 (EV71) and coxsackievirus A16 (CA16) infections which presented significantly different clinical manifestations. Nevertheless, the factors underlying these differences remain unclear. Recently, the functions of microRNAs (miRNAs) in pathogen-host interactions have been highlighted. Here, we performed comprehensive miRNA profiling in EV71- and CA16-infected human bronchial epithelial (16HBE) cells at multiple time points using high-throughput sequencing. The results showed that 154 known and 47 novel miRNAs exhibited remarkable differences in expression. Of these, 65 miRNAs, including 58 known and 7 novel miRNAs, presented opposite trends in EV71- and CA16-infected samples. Subsequently, we mainly focused on the 56 known differentially expressed miRNAs by further screening for targets prediction. GO and pathway analysis of these targets demonstrated that 18 biological processes, 7 molecular functions, 1 cellular component and 123 pathways were enriched. Among these pathways, Cadherin signalling pathway, Wnt signalling pathway and angiogenesis showed significant alterations. The regulatory networks of these miRNAs with predicted targets, GOs, pathways and transcription factors were determined, which suggested that miRNAs displayed intricate regulatory mechanisms during the infection phase. Consequently, we specifically analysed the hierarchical GO categories of the predicted targets involved in adhesion. The results indicated that the distinct changes induced by EV71 and CA16 infection may be partly linked to airway epithelial barrier function. Taken together, our data provide useful insights that help elucidate the different host-pathogen interactions following EV71 and CA16 infection and might offer novel therapeutic targets for these infections

High-Frame-Rate Contrast Echocardiography using diverging waves: initial in-vitro and in-vivo evaluation

Contrast Echocardiography (CE) ultrasound with microbubble contrast agents (UCA) has significantly advanced our capability for assessment of cardiac function, including myocardium perfusion quantification. However in standard CE techniques obtained with line by line scanning, the frame rate and image quality are limited. Recent research has shown significant frame rate improvement in non-contrast cardiac imaging. In this work we present and initially evaluate, both in-vitro and in-vivo, a high frame rate (HFR) CE imaging system using diverging waves and pulse inversion sequence. An imaging frame rate of 5500 frames per second before and 250 frames per second after compounding is achieved. A destruction-replenishment sequence has also been developed. The developed HFR CE is compared with standard CE in-vitro on a phantom and then in-vivo on a sheep heart. The image signal to noise ratio, contrast between the myocardium and the chamber are evaluated. Results show up to 13.4 dB improvement in contrast for HFR CE over standard CE when compared at the same display frame-rate even when the average spatial acoustic pressure in HFR CE is 36% lower than the standard CE. It is also found that when coherent compounding is used the HFR CE image intensity can be significantly modulated by the flow motion in the chamber

Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering

This publication is the Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering from July 6-8, 2022. The EG-ICE International Workshop on Intelligent Computing in Engineering brings together international experts working on the interface between advanced computing and modern engineering challenges. Many engineering tasks require open-world resolution of challenges such as supporting multi-actor collaboration, coping with approximate models, providing effective engineer-computer interaction, search in multi-dimensional solution spaces, accommodating uncertainty, including specialist domain knowledge, performing sensor-data interpretation and dealing with incomplete knowledge. While results from computer science provide much initial support for resolution, adaptation is unavoidable and most importantly, feedback from addressing engineering challenges drives fundamental computer-science research. Competence and knowledge transfer goes both ways. &nbsp

Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering

This publication is the Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering from July 6-8, 2022. The EG-ICE International Workshop on Intelligent Computing in Engineering brings together international experts working on the interface between advanced computing and modern engineering challenges. Many engineering tasks require open-world resolution of challenges such as supporting multi-actor collaboration, coping with approximate models, providing effective engineer-computer interaction, search in multi-dimensional solution spaces, accommodating uncertainty, including specialist domain knowledge, performing sensor-data interpretation and dealing with incomplete knowledge. While results from computer science provide much initial support for resolution, adaptation is unavoidable and most importantly, feedback from addressing engineering challenges drives fundamental computer-science research. Competence and knowledge transfer goes both ways. &nbsp

Insights into biomonitoring of human exposure to polycyclic aromatic hydrocarbons with hair analysis: A case study in e-waste recycling area

In this study, 96 pairs of hair and urine samples were collected from e-waste (EW) dismantling workers of an industrial park, as well as residents living in surrounding areas. The concentrations of polycyclic aromatic hydrocarbons (PAHs) and hydroxylated PAH metabolites (OH-PAHs) were analyzed . The results show that concentrations of Sigma(15)PAHs ranged from 6.24 to 692 ng/g dry weight (dw) and Sigma 12OH-PAHs from undetected to 187 ng/g dw in hair external (hair-Ex), and ranged from 31.7 to 738 ng/g dw and 21.6 to 1887 ng/g dw in hair internal (hair-In). There was no significant difference in exposure levels between EW dismantling workers and residents of the surrounding area. For the parent PAHs, the concentrations of Sigma(15)PAHs of hair-In were comparable with those of hair-Ex for all populations except for the child residents. On the contrary, for the OH-PAHs, the concentrations of Sigma 12OH-PAHs of hair-In were 9-37 times higher than those of hair-Ex for populations. Moreover, the congener profiles of OH-PAHs of hair-In were different from those of hair-Ex, but similar to that of urine. Particularly, 3-OH-Bap, which is a carcinogenic metabolite, was only detected in the hair-In. These results indicate that OH-PAHs in hair-In, just like in urine, are mainly derived from endogenous metabolism and could be considered as reliable biomarkers for PAHs exposure. However, there was almost no significant correlations between hair-In and urine for OH-PAHs. This indicates that more attention should be paid to OH-PAHs when conducting PAHs exposure risk assessment using hair, which will help to obtain more reliable and comprehensive information on health risk assessments

Simultaneous determination of polybrominated diphenyl ethers, polycyclic aromatic hydrocarbons and their hydroxylated metabolites in human hair: a potential methodology to distinguish external from internal exposure

A new method for the simultaneous detection of 20 polybrominated diphenyl ethers (PBDEs), 16 polycyclic aromatic hydrocarbons (PAHs), 4 hydroxyl PBDEs (OH-PBDEs) and 10 hydroxyl PAHs (OH-PAHs) in human hair has been developed for the first time. External target analytes from hair (hair-Ex) were ultrasonically extracted with acetone, while the internal target analytes (hair-In) were obtained with further digestion and liquid-liquid extraction of washed hair. Alkaline digestion with liquid-liquid extraction under alkaline and re-acidification combination conditions was the key procedure to successfully extract both parent and metabolic compounds from hair. Both external and internal extracts were purified with gel permeation chromatography, and the parent compounds were subsequently separated from their hydroxylated metabolites with a silica solid phase extraction column prior to instrumental analysis. GC-MS-MS, GC-MS and HPLC-MS-MS were used to analyze PAHs, PBDEs and their hydroxylated metabolites, respectively. The method showed satisfactory accuracy as well as precision, and the recoveries of PBDEs, PAHs, OH-PBDEs and OH-PAHs ranged from 62%-145%, 48%-135%, 60%-146% and 60%-88%, respectively. The developed method was validated in a pilot biomonitoring campaign. All parent analytes were approximately 100% detected in both hair-In and hair-Ex, while no OH-PBDEs were detected in hair-In and hair-Ex. All OH-PAHs were approximately 100% detected in hair-In with a mean sigma 10OH-PAHs concentration of 174.7 ng per g dry weight (dw), and the concentration in hair-Ex was 18 times lower than that in hair-In with a relatively lower detection frequency. Both partial least squares discriminant analysis (PLS-DA) and Spearman correlation analysis with the concentration of analytes confirmed that the developed method performed well to distinguish the internal from external exposure to target analytes in hair

Organophosphate flame retardants, tetrabromobisphenol A, and their transformation products in sediment of e-waste dismantling areas and the flame-retardant production base

Due to the prohibition of polybrominated diphenyl ethers, organophosphate flame retardants (OPFRs) and tetrabromobisphenol A (TBBPA) have become emerging flame retardants. However, knowledge about their occurrence, especially their transformation products, is still limited. This study collected sediment samples from two rivers, i.e., Lianjiang River (located at an e-waste dismantling area) and Xiaoqing River (situated at a flame retardant production base), to investigate the occurrence, composition, and spatiality distribution of OPFRs, TBBPA, and their transformation products. Both targets were detected in the Lianjiang River in the range of 220-1.4 x 10(4) and 108-3.1 x 10(3) ng/g dw (dry weight) for OPFRs and TBBPA, and 0.11-2.35 and 4.8-414 ng/g dw for their respective transformation products, respectively. The concentrations of OPFRs and TBBPA in the Xiaoqing River ranged from 4.15 to 31.5 and 0.76-2.51 ng/g dw, respectively, and no transformation products were detected. Different compositional characteristics of OPFRs and distinct spatial distribution from mainstream and tributary observed between the two rivers are attributed to the difference in the local industries. Spatial distribution and principal component analysis indicated that e-waste dismantling activities could be a vital source of local pollution. Besides, the confluence of tributaries seemed to determine the contaminant levels in the Xiaoqing River. Also, concentration ratios and Spearman's correlation between metabolites and parent chemicals were analyzed. Low concentration ratios (3.6 x 10(-4) to 0.16) indicated a low transformation degree, and Spearman's correlation analysis suggested transformation products were partly stemming from commercial products. Considering the limited study of these transformation products, more studies on their sources, transform mechanism, and toxicity are required