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| 1 | A viewpoint-independent process for spatial reorientation显示文摘 | Nardini M Thomas R.L Knowland V.C.P Braddick O.J & Atkinson J | | 0，，： | 1 |
| 2 | The Beveridge Curve显示文摘 | Blanchard O.J P.Diamond | | 0，，01： | 1 |
| 3 | What Do Firms Do With Cash Windfalls显示文摘 | Blanchard O.J F.Lopez-de-Silanes A.Shleifer | | 0，，： | 1 |
| 4 | Artificial Neural Networks Analysis of S(a)o Paulo Subway Tunnel Settlement Data显示文摘 | Santos Jr O.J T.B.Celestino | | 0，，05： | 1 |
| 5 | Do increases in mortality from intrahepatic cholangiocarcinoma reflect a genuine increase in risk? Insights from cancer registry data in Scotland显示文摘 | R Wood D.H Brewster L.A Fraser H Brown P.C Hayes O.J Garden | 2003 | European Journal of Cancer2003，，14： | 1 |
| 6 | The Medium Run显示文摘 | Blanchard O.J | | 0，，： | 1 |
| 7 | The dynamic effects of aggregate demand and supply disturbances显示文摘 | Blanchard O.J D.Quah | | 0，，： | 1 |
| 8 | Lyocell纤维的阳离子化显示文摘介绍了Lyocell纤维和织物的改法方法,这种改性方法,能使纤维素纤维的染色用阴离子型羊毛染料(酸性和反应性染料),在5min的短时间内和温和的染色条件(60℃,pH4.2)下使整个截面均匀染色。染色后织物的颜色深浅取决于改性程度。该改性方法是基于:用环氧氢丙烷,在Zn(BF_4)_2或0.01M苛性钠溶液的催化下活化Lyocell纤维;然后在碱性条件下,用乙二胺盐酸盐使活化的Lyocell纤维阳离子化。阳离子化的Lyocell纤维的染色性能与羊相似,测定不出改性Lyocell纤维在改性过程中曾受到损伤,改性既不影响纤维的抗拉强度,也不影响织物的手感。 | O.Jünger K.Schfer H.Hcker 孙宾 岳文涛 | 1999 | 国际纺织导报1999，，1： | 1 |
| 9 | Factors influencing the physico-chemical,morphological,thermal and rheological properties of some chemically modified starches for food applications-A review显示文摘 | Singh J Kaur L McCarthy O.J | | 0，，01： | 1 |
| 10 | The △H of reaction and recalibration of garnet-pyroxene-plagioclase-quartz geobarometers in the CMAS system by solution calorimetry显示文摘 | Eckert Jr J.O Newton R.C Kleppa O.J | | 0，，： | 1 |
| 11 | Monopolistic competition and the effects of aggregate demand显示文摘 | Blanchard O.J Kiyotaki N | | 0，，： | 1 |
| 12 | High frequency sequence stratigraphy using syntactic methods and cluster applied to the upper limestone coal group of Kincardine Basin,United Kingdom显示文摘 | Duan T.Z Cedric M.G Sverre O.J | | 0，，07： | 1 |
| 13 | The Dynamic Effect of Aggregate Demand and Supply Disturbances显示文摘 | Blanchard O.J D.Quah | | 0，，79： | 1 |
| 14 | University capabilities in facilitating entrepreneurship:A longitudinal study of spin-off ventures at midrange universities显示文摘 | Rasmussen E Borch O.J | | 0，，05： | 1 |
| 15 | Metaphors and the market:Consequences and preconditions of agent and object metaphors in stock market commentary显示文摘 | Morris M.W Sheldon O.J Ames D.R Young M.J | | 0，，： | 1 |
| 16 | Social Opinion Network Analytics in Community Based Customer Churn Prediction显示文摘Community based churn prediction,or the assignment of recognising the influence of a customer’s community in churn prediction has become an important concern for firms in many different industries.While churn prediction until recent times have focused only on transactional dataset(targeted approach),the untargeted approach through product advisement,digital marketing and expressions in customer’s opinion on the social media like Twitter,have not been fully harnessed.Although this data source has become an important influencing factor with lasting impact on churn management.Since Social Network Analysis(SNA)has become a blended approach for churn prediction and management in modern era,customers residing online predominantly and collectively decide and determines the momentum of churn prediction,retention and decision support.In existing SNA approaches,customers are classified as churner or non-churner(1 or 0).Oftentimes,the customer’s opinion is also neglected and the network structure of community members are not exploited.Consequently,the pattern and influential abilities of customers’opinion on relative members of the community are not analysed.Thus,the research developed a Churn Service Information Graph(CSIG)to define a quadruple churn category(churner,potential churner,inertia customer,premium customer)for non-opinionated customers via the power of relative affinity around opinionated customers on a direct node to node SNA.The essence is to use data mining technique to investigate the patterns of opinion between people in a network or group.Consequently,every member of the online social network community is dynamically classified into a churn category for an improved targeted customer acquisition,retention and/or decision supports in churn management. | Ayodeji O.J Ibitoye Olufade F.W Onifade | 2022 | Journal on Big Data2022，4，2： | 0 |
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