Displaying publications 1 - 20 of 49 in total

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  1. Zhang, Q., Ismail, N., Cheng, L.H.
    MyJurnal
    Chicken breast muscle powder (CBMP) was treated as a function of heating temperature, heating time and amount of alkali added. The pre-treated CBMP was then blended with modified waxy corn starch (MWCS) and characterized by flow analysis and temperature sweep. Flow analysis revealed that the blend behaved as a shear thickening and time dependent fluid with a yield stress. Statistical analysis showed that only linear and quadratic effects of heating temperature and heating time caused significant effects on flow behaviour index, consistency index and yield stress (p
  2. Zhang Q
    Multimed Tools Appl, 2023 May 25.
    PMID: 37362673 DOI: 10.1007/s11042-023-15355-4
    The method is providing and overview of the organization in the management perspective, within the health big data analysis, especially for the elderly employees, the organizations could sign the elderly employees within the right tasks, it reducing the costs by increasing the employees' job performance and organization performance. By addressing the importance role of big health data analytics (BDHA) in the healthcare system .moreover BDHA enables a patient's medical records to be searched in a dynamic, interactive manner. One billion records were made in two hours. Current clinical reporting compares large health data profiles and meta-big health data, giving health apps basic interfaces. A combination of Hadoop/MapReduce and HBase was used to generate the necessary hospital-specific large heath data. One billion (10TB) and three billion (30TB) HBase large health data files might be created in a week or a month using the concept. Apache Hadoop technologies tested simulated medical records. Inconsistencies reduced big health data. An encounter-centered big health database was difficult to set up due to the complicated medical system connections between big health data profiles. Associated with job performance such as the gender, current/past job positions and the health conditions are important. For genders the 66.36% of respondents in the experiments are females, 33.64 are males, majority of are healthy which are 66.97%, 30.58% are common geriatric disease, rest 2.45% are suffering from occupational disease; In terms of the current/past job positions, 20% of the respondents are working as accountant, followed by sales and management level. The Diagnostic and Statistical Manual, lists 157 distinct illnesses. Individuals may be diagnosed with one or more illnesses as a consequence of medical health professionals watching and analyzing their symptoms. It has been discovered that mental health issues have a negative impact on employees' job performance. For example, research on individuals with anxiety and depression has a direct impact on concentrations, decision-making process, and risk-taking behavior, which can be determined for job performance. Machine learning focuses on approaches that can be used to create accurate predictions about future characteristics based on previous training and post training. Principles such as job task and computational learning are crucial for machine learning algorithms that use a large amount of big health data.
  3. Zhang Q, Noryati I, Cheng LH
    J Food Sci, 2008 Mar;73(2):E82-7.
    PMID: 18298729 DOI: 10.1111/j.1750-3841.2007.00627.x
    Chicken breast muscle powder (CBMP) and modified waxy cornstarch (MWCS) blends were prepared at different pH conditions (pH 4, 5, 6, 7, 8, and 9). The blends were characterized by light microscopy, frequency sweep, flow analysis, and freeze-thaw stability analysis. Light microscopy showed that the blend structure was coarse at pH conditions close to the isoelectric point of protein and became finer with increasing pH. Frequency sweep demonstrated that the blend was more liquid-like with relatively lower storage (G') and loss (G'') moduli as the pH was increased from pH 4 to pH 9. Flow analysis revealed that thixotropy behavior was evident in samples treated at pHs 4 and 5, whereas antithixotropy was shown by those adjusted to pHs 6, 7, 8, and 9. The CBMP-MWCS blends were found to show better freeze-thaw stability at pH 8 that could be attributed to the formation of a highly interactive network structure of CBMP and MWCS.
  4. Alturkustani M, Bahakeem B, Zhang Q, Ang LC
    Malays J Pathol, 2020 Aug;42(2):187-194.
    PMID: 32860370
    INTRODUCTION: Multiple sclerosis (MS) has variable clinical presentations, prognoses, pathogeneses, and pathological patterns. We conducted a pathological review of acute MS-associated lesions that focused on the degree of axonal injury, myelin loss, and glial reaction to determine whether the observed demyelination was of the primary or secondary type.

    MATERIALS AND METHODS: After searching the records for a 15-year period at the London Health Sciences Centre Pathology Department, we identified 8 cases of surgical acute lesion biopsies in which clinical MS diagnoses were made before or after the biopsy.

    RESULTS: The white matter pathologies in these cases could be sorted into 3 morphological patterns. The first pattern, which represents typical demyelinated plaques, was observed in 4 cases and was characterised by nearly complete demyelination accompanied by variable degrees of axon preservation and axonal swelling. The second pattern was observed in 3 cases and was characterised by demyelinating lesions containing variable numbers of myelinated axons mixed with a few demyelinated axons and variable numbers of axonal swellings. The myelinated axons ranged from scattered fibres to bands of variable thickness, and the demyelination was a mixture of primary and secondary demyelination. The third pattern was observed in 1 case and was characterised by well-demarcated areas of reduced myelin staining and numerous apoptotic nuclei. Axonal staining revealed many fragmented axons with reduced myelin staining but no definitely demyelinated axons.

    CONCLUSIONS: This report shows that the predominant pathology underlying acute MS-related lesions is not limited to demyelination but can include axonal degeneration alone or in combination with primary demyelination which reflect different pathogenesis for these acute lesions.

  5. Zhang Q, Sun H, Peng X, Lin Q
    PLoS One, 2023;18(6):e0287227.
    PMID: 37352245 DOI: 10.1371/journal.pone.0287227
    The intention of pro-environmental behavior (PEB) directly affects the sustainable development of protected areas, especially national parks, but few studies have done comparative research on tourist and hiker behaviors. This study explores the intention of tourists' and hikers' pro-environmental behavior based on theory of planned behavior (TPB) and norm activation theory (NAM). Researchers surveyed 454 tourists and 466 hikers in Wuyishan National Park a structural equation modeling data analysis method. The results demonstrate that the TPB and the NAM were accurate in describing for tourists' and hikers' pro-environmental behavior in national park. However, for specific influencing factors, hikers' attitude, awareness of consequences, and assumption of responsibility were significantly different from those of the tourists. This study sheds light on how to better comprehend and advocate for PEB in national parks and proposes different management approaches to improve the PEB of tourists and hikers.
  6. Zhang Q, Wang Y, Ariffin SK
    PLoS One, 2024;19(2):e0296339.
    PMID: 38358985 DOI: 10.1371/journal.pone.0296339
    The rapid development of live-streaming e-commerce has driven billions of sales revenues and made customers' purchase intention a life-and-death issue for sellers. This study examines the influencing factors of customers' purchase intention from a value perspective by adopting and extending the Theory of Consumption Values (TCV). We also incorporated streamer popularity as a moderating variable to reveal its significant impact on live-streaming e-commerce. This study collected 457 valid online questionnaires from Chinese live-streaming e-commerce users. Our findings show that five of six consumption values, namely functional, social, emotional, conditional, and self-gratification value, are significant drivers of purchase intention. In addition, streamer popularity has strengthened the influence of functional, social, emotional, and self-gratification value on purchase intention. This study deepens the current understanding of live-streaming and customer value research by establishing and validating a comprehensive research model, and reveals the decisive role of multi-dimensional value and streamer popularity in live-streaming industry. The research findings could guide live-streaming merchants to increase sales by reallocating their resources to different consumption values and optimising their investment strategy in popular streamers.
  7. Zhang Q, Zhao JJ, Xu J, Feng F, Qu W
    J Ethnopharmacol, 2015 Sep 15;173:48-80.
    PMID: 26091967 DOI: 10.1016/j.jep.2015.06.011
    The genus Uncaria belongs to the family Rubiaceae, which mainly distributed in tropical regions, such as Southeast Asia, Africa and Southeast America. Their leaves and hooks have long been thought to have healing powers and are already being tested as a treatment for asthma, cancer, cirrhosis, diabetes, hypertension, stroke and rheumatism. The present review aims to provide systematically reorganized information on the ethnopharmacology, phytochemistry and pharmacology of the genus Uncaria to support for further therapeutic potential of this genus. To better understanding this genus, information on the stereo-chemistry and structure-activity relationships in indole alkaloids is also represented.
  8. Fang G, Zhang Q, Pang Y, Thu HE, Hussain Z
    J Control Release, 2019 06 10;303:181-208.
    PMID: 31015032 DOI: 10.1016/j.jconrel.2019.04.027
    Owing to its intricate autoimmune pathophysiology and significant risks of progression to other rheumatic co-morbidities (i.e., osteoporosis and osteoarthritis), a plausible therapeutic regimen is mandatory for early-stage management of rheumatoid arthritis (RA). Nevertheless, the conventional therapeutic agents particularly the corticosteroids and disease-modifying anti-rheumatic drugs (DMARDs) have shown grander success in the treatment of RA; however, long-term use of these agents is also associated with serious adverse events. To combat these issues and optimize therapeutic efficacy, nanotechnology-based interventions have been emerged as viable option. While, nanomedicines signposted superiority over the conventional pharmacological moieties; there are still many pharmacokinetic and pharmacodynamic challenges to nanomedicines following their intravenous or intra-articular administration. To circumvent these challenges, significant adaptations such as PEGylation, surface conjugation of targeting ligand(s), and site- responsive behavior (i.e., pH-, biochemical-, or thermal-responsiveness) have been implemented. Besides, multi-functionalization of nanomedicines has been emerging as an exceptional strategy to overcome pharmacokinetic challenges, improve targetability to inflamed synovium, maximise internalisation into the activated macrophages, and improved therapeutic outcomes for treatment of RA. Therefore, this review aims to conceptualize and recapitulate the substantial evidences regarding the pharmacokinetic and pharmacodynamic superiority of multi-functionalized nanomedicines over the naked nanomedicines for site-selective targeting to inflamed synovium and rational treatment of RA and other rheumatic co-morbidities. Pharmaceutical sustainability of the multi-functionalized nanomedicines for improved biocompatibility, profound interaction with the targeting tissue/cells/sub-cellular domain, and diminished systemic toxicity has also been pondered.
  9. Wang Y, Wang X, Wang X, Naqvi AA, Zhang Q, Zang X
    Curr Med Res Opin, 2021 05;37(5):829-837.
    PMID: 33719815 DOI: 10.1080/03007995.2021.1901680
    OBJECTIVE: To translate the English version of general medication adherence scale (GMAS) into a Chinese version and test its reliability and validity in Chinese patients with chronic diseases.

    METHODS: After translating the original English version into Chinese (GMAS-C) following the forward-backward translation and expert review procedure, we conducted a pilot study among 10 chronic disease patients. Each patient took about 10 min to complete the scale and was asked about the difficulty of understanding or filling the scale. Then a total of 312 patients aged 18 years or older with chronic illness were selected from the outpatient departments of two tertiary hospitals and a community center in Tianjin from April 2019 to May 2020 by convenience sampling. Cronbach's α coefficient, item-total correlation and test-retest reliability were used to evaluate the scale reliability; expert evaluation method was used to evaluate the content validity of the scale; and exploratory factor analysis, confirmatory factor analysis, and known group validity were used to evaluate the construct validity of the scale.

    RESULTS: As a result of the adaptation process, the GMAS-C's structure was determined. It included 3 dimensions and 11 items and was reliable and valid for Chinese patients with chronic diseases. Total Cronbach's α coefficient of the scale was 0.781 and test-retest reliability coefficient was 0.883 after two weeks. The item-level content validity indexes (CVIs) were ≥ 0.78 for all items. A Kaiser-Meyer-Olkin test and Bartlett' test of sphericity test indicated that the sample met the requirements of factor analysis. Exploratory factor analysis extracted three factors with eigenvalue >1, and 60% of the total variance was explained by three-factor solution. Confirmatory factor analysis showed acceptable fit indices (χ2/df = 1.58, IFI = 0.96, TLI = 0.94, CFI = 0.96 and RMSEA = 0.05).

    CONCLUSIONS: The GMAS-C demonstrates satisfactory reliability and validity. This scale can be a clinically useful tool to identify the levels of medication adherence and possible barriers for adherence of the medication regime in patients with chronic diseases.

  10. Hu X, Chen T, Zhang S, Zhang Q, Li C, Wang X
    Basic Clin Pharmacol Toxicol, 2022 Jan;130(1):56-69.
    PMID: 34634178 DOI: 10.1111/bcpt.13673
    Oleandrigenin-3-O-β-D-diginoside (a derivative of odoroside A), isolated and purified by our group, has seldom been explored for its pharmacological activity. This study aimed at clarifying the mechanisms towards the leukaemia-suppressive role of odoroside A (compound #1) and its derivative, oleandrigenin-3-O-β-D-diginoside (compound #2) isolated from Nerium oleander. Viability and nuclear morphology change were assessed by CCK-8 assay and fluorescence microscope, respectively. Then, the cell apoptosis and autophagy induced by the compounds were detected by flow cytometry and Western blot. Xenograft model of nude mice was also applied to measure the leukaemia-suppressive effects of compound #2 in vivo. The result displayed that compound #1 and compound #2 inhibited the proliferation of HL60 and K562 cells and stronger effects were found in HL60 than K562 cells. Both of the compounds induced a dose-dependent apoptosis and autophagy in HL60 cells, where compound #2 was more potent than compound #1. Compound #2 also demonstrated a time-dependent apoptosis and autophagy in HL60 cells. Furthermore, ROS generation and JNK phosphorylation occurred in a dose-dependent manner in the cells treated with compound #2. Mitochondria also played critical role, proved by the decrease of Bcl-2, the release of cyto c to cytosol and the activation of caspase-3 and caspase-9. Moreover, the antitumour effects of compound #2 were validated in the nude mouse xenograft model in vivo. Odoroside A and its derivative inhibited the growth of leukaemia by inducing apoptosis and autophagy through the activation of ROS/JNK pathway. These results suggest that the compounds can serve as potential antitumour agents against leukaemia, especially acute myeloid leukaemia (AML).
  11. Zhang Q, Abdullah AR, Chong CW, Ali MH
    Comput Intell Neurosci, 2022;2022:8235308.
    PMID: 35126503 DOI: 10.1155/2022/8235308
    Gross domestic product (GDP) is an important indicator for determining a country's or region's economic status and development level, and it is closely linked to inflation, unemployment, and economic growth rates. These basic indicators can comprehensively and effectively reflect a country's or region's future economic development. The center of radial basis function neural network and smoothing factor to take a uniform distribution of the random radial basis function artificial neural network will be the focus of this study. This stochastic learning method is a useful addition to the existing methods for determining the center and smoothing factors of radial basis function neural networks, and it can also help the network more efficiently train. GDP forecasting is aided by the genetic algorithm radial basis neural network, which allows the government to make timely and effective macrocontrol plans based on the forecast trend of GDP in the region. This study uses the genetic algorithm radial basis, neural network model, to make judgments on the relationships contained in this sequence and compare and analyze the prediction effect and generalization ability of the model to verify the applicability of the genetic algorithm radial basis, neural network model, based on the modeling of historical data, which may contain linear and nonlinear relationships by itself, so this study uses the genetic algorithm radial basis, neural network model, to make, compare, and analyze judgments on the relationships contained in this sequence.
  12. Bhuiyan MA, Zhang Q, Xuan W, Rahman MK, Khare V
    SN Bus Econ, 2023;3(1):33.
    PMID: 36684689 DOI: 10.1007/s43546-022-00408-x
    This paper aims to analyze the articles regarding the role of good governance in sustainable tourism for China. Following the PRISMA guidelines, a systematic literature review approach has been conducted in this paper. A total number of 100 peer-reviewed journal papers have been critically evaluated. Our review analysis shows that taking necessary steps under good governance can promote sustainable tourism development in China. Few policy recommendations and future research aspects have also been included in the paper.

    SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s43546-022-00408-x.

  13. Ding K, Choo WC, Ng KY, Zhang Q
    Front Psychol, 2023;14:1120845.
    PMID: 36874802 DOI: 10.3389/fpsyg.2023.1120845
    INTRODUCTION: Online reviews have become an important source of information for investigating customers' consumption experiences in academic studies. In the context of sharing economy-based accommodation, various studies have been conducted to investigate the user experience of Airbnb by analyzing online reviews; however, most previous Airbnb studies had focused on analyzing the user experience of Airbnb at a holistic level without distinguishing the accommodation attributes of Airbnb. Therefore, this article aimed to investigate how the preferences revealed by Airbnb users in online reviews vary across Airbnb listings with different levels of sharing and price ranges.

    METHODS: This study analyzed 181,190 online reviews under Airbnb listings in Kuala Lumpur, Malaysia, using the structural topic model (STM).

    RESULTS: This study identified 21 topics related to Airbnb service and product attributes.

    DISCUSSION: The findings show that Airbnb users who stay at entire property are more concerned with the hedonic value of their stay, while those who stay at shared property are more concerned with the utilitarian value. The purposes of the host-guest interaction were also found to differ between these two types of Airbnb accommodations. Regarding the effect of listing prices on users' preferences, findings reveal that those staying at lower-priced rooms were more concerned about the convenience of exploring the surrounding area, while those who stayed at higher-priced rooms were more concerned about the surrounding environment and the interior facilities of the property.

  14. Wang CP, Zhang Q, Wong PPW, Wang L
    Front Psychol, 2023;14:1139116.
    PMID: 36935952 DOI: 10.3389/fpsyg.2023.1139116
    INTRODUCTION: The theory of planned behavior (TPB) has dominated the limited number of green hotel visitation studies; however, those studies' findings are often inconclusive or even controversial. Thus, research needs to move beyond using the TPB to measure consumers' intention and behavior, and to experiment with alternative theoretical frameworks to explain behavioral change. Value-belief-norm theory of environmentalism (VBN) proposed that various facets of values can influence individuals' beliefs, subsequently effecting their moral obligations, ultimately, their pro-environmental behaviors. Hence, this study aims to examine the relationship between value components (i.e., biospheric, altruistic, collectivistic), beliefs (i.e., explicit and implicit attitude), norms (i.e., social and personal norm), and green purchase intention to visit green hotels.

    METHODS: An online survey of convenience sampling technique was adopted for data collection. A total of 373 valid questionnaires were subjected to descriptive analysis, and confirmatory factor analysis and structural equation modeling were performed for the testing of the hypotheses.

    RESULTS: The results suggested that biospheric and collectivistic value positively influence explicit environmental attitude while altruistic value positively influences intrinsic environmental attitude, but negatively influences extrinsic environmental attitude. Social norm was shown to have a positive impact on personal norm and green purchase intention. Furthermore, implicit environmental attitude was shown to influence personal norm and intention, while personal norm positively influences green purchase intention to visit green hotels.

    DISCUSSION: This study provided an alternative perspective on the selection of green hotels among consumers based on value-belief-norm theory in the tourism literature. These empirical findings would greatly benefit green hotel managers and other key stakeholders in the hospitality industry.

  15. Zhang Q, Chong CW, Abdullah AR, Ali MH
    Comput Intell Neurosci, 2021;2021:1370180.
    PMID: 34691167 DOI: 10.1155/2021/1370180
    At present, the development speed of international trade cannot catch up with the economic development speed, and the insufficient development speed of international trade will directly affect the rapid development of national economy. In order to solve the problem of international trade, the overall optimal scheduling of trade vehicles and the optimal planning of trade transportation path are very important to improve enterprise services, reduce enterprise costs, increase enterprise benefits, and enhance enterprise competitiveness. The second development of the program is based on the programming interface provided by Baidu map. This paper proposes a neural network algorithm for genetic optimization of multiple mutations, which overcomes the shortcoming of traditional genetic algorithm population "ten" character distribution by mixing multiple coding methods, and enhances the local search ability of genetic algorithm by introducing a new large-mutation small-range search population. The example application shows that the optimization method can realize the optimization of international trade path under real road conditions and greatly improve the work efficiency of actual trade.
  16. Zhang Q, Sun H, Lin Q, Lin K, Chong KM
    PLoS One, 2024;19(7):e0306726.
    PMID: 38991020 DOI: 10.1371/journal.pone.0306726
    In the process of hikers' choosing a destination, searching for information is one of the important elements, playing a decisive role in decision-making. Based on the Baidu Index for "hiking," this paper analyzes the spatial and temporal characteristics of and factors that influenced network attention to hiking in China from 2016 to 2021. The study found that (1) Network attention to hiking in China was generally relatively stable across the period studied, with highly uneven distribution between different months. The search volume was higher on weekends, and mobile searches increased year by year, far exceeding computer searches. (2) Different regions in China experienced different levels of network attention, with the highest levels in the east, followed by the center, and the lowest in the west. Except for East China, network attention to hiking was highly unevenly distributed within each region. (3) The COVID-19 pandemic increased the geographical concentration index and coefficient of variation but reduced the primacy index. A region's level of economic development, degree of network development, population size, and population age structure are proposed as factors that affect network attention to hiking.
  17. Kim HS, Wu Y, Lin SJ, Deerochanawong C, Zambahari R, Zhao L, et al.
    Curr Med Res Opin, 2008 Jul;24(7):1951-63.
    PMID: 18547466 DOI: 10.1185/03007990802138731
    BACKGROUND: Data on achieving National Cholesterol Education Program Adult Treatment Panel III (ATP III) goals in Asia are limited.

    OBJECTIVE: To examine treatment patterns, goal attainment, and factors influencing treatment among patients in 6 Asian countries who were taking statins.

    METHODS: A retrospective cohort study was conducted in China, Korea, Malaysia, Singapore, Taiwan, and Thailand, where 437 physicians (41% cardiologists) recruited adults with hypercholesterolemia newly initiated on statin monotherapy.

    RESULTS: Of 2622 patients meeting inclusion and exclusion criteria, approximately 66% had coronary heart disease (CHD)/diabetes mellitus, 24% had no CHD but > or =2 risk factors, and 10% had no CHD and <2 risk factors. Most patients ( approximately 90%) received statins at medium or lower equipotency doses. Across all cardiovascular risk categories, 48% of patients attained ATP III targets for low-density lipoprotein cholesterol (LDL-C), including 38% of those with CHD/diabetes (goal: <100 mg/dL), 62% of those without CHD but with > or =2 risk factors (goal: <130 mg/dL), and 81% of those without CHD and <2 risk factors (goal: <160 mg/dL). Most patients who achieved goals did so within the first 3 months. Increasing age (odds ratio (OR)=1.015 per 1-year increment; 95% confidence interval (CI)=1.005-1.206; p=0.0038) and initial statin potency (OR=2.253; 95% CI=1.364-3.722; p=0.0015) were directly associated with goal attainment, whereas increased cardiovascular risk (OR=0.085; 95% CI=0.053-0.134; p<0.0001 for CHD/diabetes mellitus at baseline compared with <2 risk factors,) and baseline LDL-C (OR=0.990; 95% CI=0.987-0.993); p<0.0001 per 1-mg/dL increment) were inversely associated with LDL-C goal achievement. Limitations of this study include potential differences in treatment settings and cardiovascular risk factors between different countries and centers. In addition, the effects on cholesterol goal achievement of concomitant changes in lifestyle were not assessed.

    CONCLUSION: LDL-C goal attainment is low in Asians, particularly those with CHD/diabetes. More effective patient monitoring, treatments, including combining regimens and dose titration, and adherence to these treatments along with therapeutic lifestyle counseling may facilitate goal attainment.

  18. Zhang Q, Yang R, Lim PE, Chin Y, Zhou S, Gao Y, et al.
    Nutr Cancer, 2021 Sep 23.
    PMID: 34555987 DOI: 10.1080/01635581.2021.1981403
    5-fluorouracil (5-FU)-induced intestinal mucositis (IM) often makes chemotherapy patients suffer from physical and psychological suffering. Kappaphycus alvarezii (KA) is known for its potent multiple biological activities from decades. In the current study, we explored the effect of sun-dried and air-dried Kappaphycus alvarezii as a whole food supplement on 5-FU-induced IM. Diets supplemented with sun-dried Kappaphycus alvarezii (SKA, 3%), air-dried Kappaphycus alvarezii (AKA, 3%), and 5-aminosalicylic acid (0.005%) for consecutive14 days. While intraperitoneal injection of 5-FU (50 mg/kg) induced IM for last three consecutive days, and IM was assessed by the disease activity index (DAI) and inflammatory cytokine levels. Pretreatment of KA could alleviate phenotypic index, inhibit the increase of DAI, and reverse villus/crypt ratio. On the 14th day, AKA significantly increased the weight growth rate of the mice. The intervention of SKA significantly reduced the level of TNF-α and IL-1β (P 
  19. Jia Y, Zheng F, Zhang Q, Duan HF, Savic D, Kapelan Z
    Water Res, 2021 Oct 01;204:117594.
    PMID: 34474249 DOI: 10.1016/j.watres.2021.117594
    Hydraulic modeling of a foul sewer system (FSS) enables a better understanding of the behavior of the system and its effective management. However, there is generally a lack of sufficient field measurement data for FSS model development due to the low number of in-situ sensors for data collection. To this end, this study proposes a new method to develop FSS models based on geotagged information and water consumption data from smart water meters that are readily available. Within the proposed method, each sewer manhole is firstly associated with a particular population whose size is estimated from geotagged data. Subsequently, a two-stage optimization framework is developed to identify daily time-series inflows for each manhole based on physical connections between manholes and population as well as sewer sensor observations. Finally, a new uncertainty analysis method is developed by mapping the probability distributions of water consumption captured by smart meters to the stochastic variations of wastewater discharges. Two real-world FSSs are used to demonstrate the effectiveness of the proposed method. Results show that the proposed method can significantly outperform the traditional FSS model development approach in accurately simulating the values and uncertainty ranges of FSS hydraulic variables (manhole water depths and sewer flows). The proposed method is promising due to the easy availability of geotagged information as well as water consumption data from smart water meters in near future.
  20. Li C, Liu J, Shaozhou W, Bai X, Zhang Q, Hua R, et al.
    Viruses, 2016 Nov 10;8(11).
    PMID: 27834908
    Duck Tembusu virus (DTMUV) causes substantial egg drop disease. DTMUV was first identified in China and rapidly spread to Malaysia and Thailand. The antigenicity of the DTMUV E protein has not yet been characterized. Here, we investigated antigenic sites on the E protein using the non-neutralizing monoclonal antibodies (mAbs) 1F3 and 1A5. Two minimal epitopes were mapped to (221)LD/NLPW(225) and (87)YAEYI(91) by using phage display and mutagenesis. DTMUV-positive duck sera reacted with the epitopes, thus indicating the importance of the minimal amino acids of the epitopes for antibody-epitope binding. The performance of the dot blotting assay with the corresponding positive sera indicated that YAEYI was DTMUV type-specific, whereas (221)LD/NLPW(225) was a cross-reactive epitope for West Nile virus (WNV), dengue virus (DENV), and Japanese encephalitis virus (JEV) and corresponded to conserved and variable amino acid sequences among these strains. The structure model of the E protein revealed that YAEYI and LD/NLPW were located on domain (D) II, which confirmed that DII might contain a type-specific non-neutralizing epitope. The YAEYI epitope-based antigen demonstrated its diagnostic potential by reacting with high specificity to serum samples obtained from DTMUV-infected ducks. Based on these observations, a YAEYI-based serological test could be used for DTMUV surveillance and could differentiate DTMUV infections from JEV or WNV infections. These findings provide new insights into the organization of epitopes on flavivirus E proteins that might be valuable for the development of epitope-based serological diagnostic tests for DTMUV.
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