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H19 regulation of oestrogen induction of symmetric division is achieved by antagonizing Let-7c in breast cancer stem-like cells. PubMed Scopus SCIE
期刊论文 | 2019 , 52 (1) , e12534 | Cell proliferation
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Abstract :

Breast cancer stem-like cells (BrCSCs) are the major reason for tumour generation, resistance and recurrence. The turbulence of their self-renewal ability could help to constrain the stem cell expansion. The way BrCSCs divided was related to their self-renewal capacity, and the symmetric division contributed to a higher ability. Non-coding long RNA of H19 was involved in multiple malignant procedures; the role and mechanistic proof of non-coding long RNA of H19 in controlling the divisions of BrCSCs were barely known.Indicative functions of H19 in preclinical study were analysed by using the TCGA data base. Division manners were defined by using fluorescence staining.We identified the stimulation of H19 on symmetric division of BrCSCs, which subsequently resulted in self-renewing increasing. H19 inhibited the Let-7c availability by acting as its specific molecular sponge, and with Let-7c inhibition, oestrogen receptor activated Wnt signalling was unconstrained. Similarly, restoring Let-7c constrained oestrogen receptor activated Wnt factors, which sequentially inhibited the H19 decreasing of Let-7 bioavailability. Let-7c is reactivated in vitro where H19 was knockdown, and later inhibited the symmetric division of BrCSCs. Reciprocally, Wnt pathway activation leads to H19 increasing, which in turn decreased Let-7c bioavailability.Our results revealed a previously undescribed double negative feedback loop between sponge H19 and targeted Let-7c through oestrogen activated Wnt signalling that dominated in stem cells' division.

Keyword :

division modes MiRNA sponge Wnt signalling cancer stem cells

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GB/T 7714 Wang Meng , Li Yuan , Xiao Guo-Dong et al. H19 regulation of oestrogen induction of symmetric division is achieved by antagonizing Let-7c in breast cancer stem-like cells. [J]. | Cell proliferation , 2019 , 52 (1) : e12534 .
MLA Wang Meng et al. "H19 regulation of oestrogen induction of symmetric division is achieved by antagonizing Let-7c in breast cancer stem-like cells." . | Cell proliferation 52 . 1 (2019) : e12534 .
APA Wang Meng , Li Yuan , Xiao Guo-Dong , Zheng Xiao-Qiang , Wang Ji-Chang , Xu Chong-Wen et al. H19 regulation of oestrogen induction of symmetric division is achieved by antagonizing Let-7c in breast cancer stem-like cells. . | Cell proliferation , 2019 , 52 (1) , e12534 .
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Selfie Posting on Social Networking Sites and Female Adolescents’ Self-Objectification: The Moderating Role of Imaginary Audience Ideation Scopus SSCI
期刊论文 | 2019 , 80 (5-6) , 325-331 | Sex Roles
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Abstract :

© 2018 Springer Science+Business Media, LLC, part of Springer Nature Posting selfies on social networking sites (SNSs) has become an increasingly popular activity among adolescents, especially female adolescents. Given this popularity and relevant studies, the current study aimed to examine the association between selfie-posting on SNSs and self-objectification among Chinese female adolescents and to test whether an imaginary audience could moderate this relationship. A sample of 963 female adolescents aged 12–16 years-old who have an active Qzone (one of the most popular SNS in China) account were recruited to participate in the present study. Participants were asked to complete measures of selfie-posting frequency on SNSs, self-objectification, and imaginary audience ideation. The results revealed that selfie-posting on SNSs was positively associated with self-objectification, and this relation was moderated by imaginary audience ideation. Specifically, the influence of self-objectification on selfie-posting was stronger for young women with higher levels of imaginary audience ideation. These findings add to the extant literature by suggesting that selfie-posting on SNSs may be a new experience of sexual objectification online, which has some theoretical and practical implications.

Keyword :

Female adolescents Imaginary audience ideation Self-objectification Selfie-posting

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GB/T 7714 Zheng, Dong , Ni, Xiao-li , Luo, Yi-jun . Selfie Posting on Social Networking Sites and Female Adolescents’ Self-Objectification: The Moderating Role of Imaginary Audience Ideation [J]. | Sex Roles , 2019 , 80 (5-6) : 325-331 .
MLA Zheng, Dong et al. "Selfie Posting on Social Networking Sites and Female Adolescents’ Self-Objectification: The Moderating Role of Imaginary Audience Ideation" . | Sex Roles 80 . 5-6 (2019) : 325-331 .
APA Zheng, Dong , Ni, Xiao-li , Luo, Yi-jun . Selfie Posting on Social Networking Sites and Female Adolescents’ Self-Objectification: The Moderating Role of Imaginary Audience Ideation . | Sex Roles , 2019 , 80 (5-6) , 325-331 .
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Family fortunes: The persisting grandparents' effects in contemporary British society Scopus SSCI PubMed
期刊论文 | 2019 , 77 , 179-192 | Social Science Research
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Abstract :

© 2018 Elsevier Inc. This study examines grandparents' effects on grandchildren in contemporary British society. We begin with grandchildren's occupational aspiration in their adolescent years and move on to assess their educational and class attainment in adulthood. Using the British Household Panel Survey and the UK Household Longitudinal Study, we find persisting grandparental effects in all three domains even after controlling for parents' socio-economic-cultural resources and other demographic and contextual factors. In addition, we find that self-employed grandparents have a strong impact on grandsons' (albeit not on granddaughters') likelihood of engagement in self-employment, a pattern that holds true even when parents are not self-employed. Our study shows that grandparents' class still affects grandchildren's life chances in contemporary UK society just as earlier research showed for mid-20th century Britain and that the effects are manifested at different stages of the life course, from occupational aspiration as teenagers to educational attainment as young adults to occupational destination as adults.

Keyword :

Class aspiration Educational and occupational attainment Grandparents' effects Self-employment UK

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GB/T 7714 Zhang, Min , Li, Yaojun . Family fortunes: The persisting grandparents' effects in contemporary British society [J]. | Social Science Research , 2019 , 77 : 179-192 .
MLA Zhang, Min et al. "Family fortunes: The persisting grandparents' effects in contemporary British society" . | Social Science Research 77 (2019) : 179-192 .
APA Zhang, Min , Li, Yaojun . Family fortunes: The persisting grandparents' effects in contemporary British society . | Social Science Research , 2019 , 77 , 179-192 .
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A new smooth method based on rotated hyperbola for support vector machine in classification EI
会议论文 | 2018 , 1074 (1) | International Conference on Mechanical, Electric and Industrial Engineering, MEIE 2018
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Abstract :

One smooth rotated hyperbola for support vector machine (RHSSVM) is proposed. Based on the approximation property of the hyperbola to its asymptotic lines, we build this model. Theoretical analysis shows that RHSSVM has the least error on approximating the plus function compared with three other typical models. Experimental results show that RHSSVM reduces the consuming time and efficiently deal with large scale and high dimensional programs. © Published under licence by IOP Publishing Ltd.

Keyword :

Approximation properties High-dimensional Typical model

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GB/T 7714 Wang, En . A new smooth method based on rotated hyperbola for support vector machine in classification [C] . 2018 .
MLA Wang, En . "A new smooth method based on rotated hyperbola for support vector machine in classification" . (2018) .
APA Wang, En . A new smooth method based on rotated hyperbola for support vector machine in classification . (2018) .
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Big Data Digging of the Public's Cognition about Recycled Water Reuse Based on the BP Neural Network SCIE
期刊论文 | 2018 | COMPLEXITY
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Abstract :

Reuse of recycled water is very important to both the environment and economy, while the public cognition degree towards recycled water reuse also plays a key role in this process, and it determines the acceptance degree of the public towards recycled water reuse. Under the background of the big data, the Hadoop platform was used to collect and save data about the public's cognition towards recycled water in one city and the BP neural network algorithm was used to construct an evaluation model that could affect the public's cognition level. The public's risk perception, subjective norm, and perceived behavioral control regarding recycled water reuse were selected as key factors. Based on a multivariate clustering algorithm, MATLAB software was used to make real testing on massive effective data and assumption models, so as to analyze the proportion of three evaluation factors and understand the simulation parameter scope of the cognition degree of different groups of citizens. Lastly, several suggestions were proposed to improve the public's cognition on recycled water reuse based on the big data in terms of policy mechanism.

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GB/T 7714 Fu, Hanliang , Liu, Zhijian , Wang, Mengmeng et al. Big Data Digging of the Public's Cognition about Recycled Water Reuse Based on the BP Neural Network [J]. | COMPLEXITY , 2018 .
MLA Fu, Hanliang et al. "Big Data Digging of the Public's Cognition about Recycled Water Reuse Based on the BP Neural Network" . | COMPLEXITY (2018) .
APA Fu, Hanliang , Liu, Zhijian , Wang, Mengmeng , Wang, Zelin . Big Data Digging of the Public's Cognition about Recycled Water Reuse Based on the BP Neural Network . | COMPLEXITY , 2018 .
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Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017 SCIE
期刊论文 | 2018 , 392 (10159) , 1923-1994 | LANCET
Stanaway, Jeffrey D. | Afshin, Ashkan | Gakidou, Emmanuela | Lim, Stephen S. | Abate, Degu | Abate, Kalkidan Hassell | Abbafati, Cristiana | Abbasi, Nooshin | Abbastabar, Hedayat | Abd-Allah, Foad | Abdela, Jemal | Abdelalim, Ahmed | Abdollahpour, Ibrahim | Abdulkader, Rizwan Suliankatchi | Abebe, Molla | Abebe, Zegeye | Abera, Semaw F. | Abil, Olifan Zewdie | Abraha, Haftom Niguse | Abrham, Aklilu Roba | Abu-Raddad, Laith Jamal | Abu-Rmeileh, Niveen M. E. | Accrombessi, Manfred Mario Kokou | Acharya, Dilaram | Acharya, Pawan | Adamu, Abdu A. | Adane, Akikw Awoke | Adebayo, Oladimeji M. | Adedoyin, Rufus Adesoji | Adekanmbi, Victor | Ademi, Zanfina | Adetokunboh, Olatunji | Adib, Mina G. | Admasie, Amha | Adsuar, Jose C. | Afanvi, Kossivi Agbelenko | Afarideh, Mohsen | Agarwal, Gina | Aggarwal, Anju | Aghayan, Sargis Aghast | Agrawal, Anurag | Agrawal, Sutapa | Ahmadi, Alireza | Ahmadi, Mehdi | Ahmadieh, Hamid | Ahmed, Muktar Beshir | Aichour, Amani Nidhal | Aichour, Ibtihel | Aichour, Miloud Taki Eddine | Akbari, Mohammad Esmaeil | Akinyemiju, Tomi | Akseer, Nadia | Al-Aly, Ziyad | Al-Eyadhy, Ayman | Al-Mekhlafi, Hesham M. | Alandab, Fares | Alam, Khurshid | Alam, Samiah | Alam, Tahiya | Alashi, Alaa | Alavian, Seyed Moayed | Alene, Kefyalew Addis | Ali, Komal | Ali, Syed Mustafa | Alijanzadeh, Mehran | Alizadeh-Navaei, Reza | Aljunid, Syed Mohamed | Alkerwi, Ala'a | Alla, Francois | Alsharif, Ubai | Altirkawi, Khalid | Alvis-Guzman, Nelson | Amare, Azmeraw T. | Ammar, Walid | Anber, Nahla Hamed | Anderson, Jason A. | Andrei, Catalina Liliana | Androudi, Sofia | Animut, Megbaru Debalkie | Anjomshoa, Mina | Ansha, Mustafa Geleto | Anto, Josep M. | Antonio, Carl Abelardo T. | Anwari, Palwasha | Appiah, Lambert Tetteh | Appiah, Seth Christopher Yaw | Arabloo, Jalal | Aremu, Olatunde | Amlov, Johan | Artaman, Al | Aryal, Krishna K. | Asayesh, Hamid | Ataro, Zerihun | Ausloos, Marcel | Avokpaho, Euripide F. G. A. | Awasthi, Ashish | Quintanilla, Beatriz Paulina Ayala | Ayer, Rakesh | Ayuk, Tanabe B. | Azzopardi, Peter S. | Babazadeff, Arefeh | Badali, Hamid | Badawi, Alaa | Balakrishnan, Kalpana | Bali, Ayele Geleto | Ball, Kylie | Bellew, Shoshana H. | Banach, Maciej | Banoub, Joseph Adel Mattar | Barac, Aleksandra | Barker-Collo, Suzanne Lyn | Bamighausen, Till Winfried | Barrero, Lope H. | Basu, Sanjay | Baune, Bernhard T. | Bazargan-Hejazi, Shahrzad | Bedi, Neeraj | Beghi, Ettore | Behzadifar, Masoud | Behzadifar, Meysam | Bejoy, Yannick | Bekele, Bayu Begashaw | Bekru, Fyasu Tamru | Belay, Ezra | Belay, Yilhalem Abebe | Bell, Michelle L. | Bello, Aminu K. | Bennett, Derrick A. | Bensenor, Isabela M. | Bergeron, Gilles | Berhane, Adugnaw | Bemabe, Eduardo | Bemstein, Robert S. | Beuran, Mircea | Beyranvand, Tina | Bhala, Neeraj | Bhalla, Ashish | Bhattarai, Suraj | Bhutta, Zulfiqar A. | Biadgo, Belete | Bijani, Ali | Bikbov, Boris | Bilano, Ver | Bililign, Nigus | Bin Sayeed, Muhamad Shandaat | Bisanzio, Donal | Biswas, Tuhin | Bjorge, Tone | Blacker, Brigette F. | Bleyer, Archie | Borschmann, Rohan | Bou-Orm, Ibrahim R. | Boufous, Soufiane | Bourne, Rupert | Brady, Oliver J. | Brauer, Michael | Brazinova, Alexandra | Breitborde, Nicholas J. K. | Brenner, Hermann | Briko, Andrey Nikolaevich | Britton, Gabrielle | Brugha, Traolach | Buchbindet, Rachelle | Burnett, Richard T. | Busse, Reinhard | Butt, Zahid A. | Cahill, Leah E. | Cahuana-Hurtado, Lucero | Campos-Nonato, Ismael R. | Cardenas, Rosario | Carreras, Giulia | Carrero, Juan J. | Carvalho, Felix | Castaneda-Orjuela, Carlos A. | Rivas, Jacqueline Castillo | Castro, Franz | Catala-Lopez, Ferran | Causey, Kate | Cercy, Kelly M. | Cerin, Ester | Chaiah, Yazan | Chang, Hying-Ti | Chang, Jung-Chen | Chang, Kai-Lan | Charlson, Fiona J. | Chattopadhyay, Aparajita | Chattu, Vijay Kumar | Chee, Miao Li | Cheng, Ching-Yu | Chew, Adrienne | Chiang, Peggy Pei-Chia | Chimed-Ochir, Odgerel | Chin, Ken Lee | Chitheer, Abdulaal | Choi, Jee-Young J. | Chowdhury, Rajiv | Christensen, Hanne | Christopher, Devasahayam J. | Chung, Sheng-Chia | Cicuttini, Flavia M. | Grillo, Massimo | Cohen, Aaron J. | Collado-Mateo, Daniel | Cooper, Cyrus | Cooper, Owen R. | Coresh, Josef | Cornaby, Leslie | Cortesi, Paolo Angelo | Cortinovis, Monica | Costa, Megan | Cousin, Ewerton | Criqui, Michael H. | Cromwell, Elizabeth A. | Cundiff, David K. | Daba, Alenmeh Kabeta | Dachew, Berihun Assefa | Dadi, Abel Fekadu | Damasceno, Alberti Antonio Moura | Dandona, Lalit | Dandona, Rakhi | Darby, Sarah C. | Dargan, Paul I. | Daryani, Ahmed | Das Gupta, Rajat | Das Neves, Jose | Dasa, Tamirat Tesfaye | Dash, Aditya Prasad | Davitoiu, Dragos Virgil | Davletov, Kairat | De la Cruz-Gongora, Vanessa | De la Hoz, Fernando Pio | De Leo, Diego | De Neve, Jan-Walter | Degenhardt, Louisa | Deiparine, Selina | Dellavalle, Robert P. | Demoz, Gebre Teklemariam | Denova-Gutierrez, Edgar | Deribe, Kebede | Dervenis, Nikolaos | Deshpande, Aniruddha | Jarlais, Don C. Des | Dessie, Getenet Ayalew | Deveber, Gabrielle Aline | Dey, Subhojit | Dharmaratne, Samath Dhamminda | Dhimal, Meghnath | Dinberu, Mesfin Tadese | Ding, Eric L. | Diro, Helen Derara | Djalalinia, Shirin | Huyen Phoc Do | Dokova, Klara | Doku, David Teye | La Doyle, Kerrie | Driscoll, Tim R. | Dubey, Manisha | Dubljanin, Eleonora | Duken, Eyasu Ejeta | Duncan, Bruce B. | Duraes, Andre R. | Ebert, Natalie | Ebrahimi, Hedyeh | Ebrahimpour, Soheil | Edvardsson, David | Elfiong, Andem | Eggen, Anne Elise | El Bcheraoui, Charbel | El-Khatib, Iad | Elyazar, Iqbal Rf | Enayati, Ahmadali | Endries, Aman Yesuf | Er, Benjamin | Erskine, Holly E. | Eskandarieh, Sharareh | Esteghamati, Alireza | Estep, Kara | Fakhim, Hamed | Faramarzi, Mahbobeh | Fareed, Mohammad | Farid, Talha A. | Farinha, Carla Sofia E. Sa | Farioli, Andrea | Faro, Andre | Farvid, Maryam S. | Farzaei, Mohammad Hosein | Fatima, Batool | Fay, Kairsten A. | Fazaeli, Ali Akbar | Feigin, Valery L. | Feigl, Andrea B. | Fereshtehnejad, Seyed-Mohammad | Fernandes, Eduarda | Fernandes, Joao C. | Ferrara, Giannina | Ferrari, Alize J. | Ferreira, Manuela L. | Filip, Irina | Finger, Jonas David | Fischer, Florian | Foigt, Nataliya A. | Foreman, Kyle J. | Fukumoto, Takeshi | Fullman, Nancy | Furst, Thomas | Furtado, Joao M. | Futran, Neal D. | Gall, Seana | Gallus, Silvan | Gamkrelidze, Amiran | Ganji, Morsaleh | Garcia-Basteiro, Alberto L. | Gardner, William Ni | Gebre, Abadi Kahsu | Gebremedhin, Amanuel Tesfay | Gebremichael, Teklu Gebrehiwo | Gelano, Tilayie Feto | Geleijnse, Johanna M. | Geramo, Yilma Chisha Dea | Gething, Peter W. | Geese, Kebede Embaye | Ghadimi, Reza | Ghadiri, Keyghobad | Falavarjani, Khalil Ghasemi | Ghasemi-Kasman, Maryam | Ghimire, Mamata | Ghosh, Rakesh | Ghoshal, Aloke Gopal | Giampaoli, Simona | Gill, Paramjit Singh | Gill, Tiffany K. | Gillum, Richard F. | Ginawi, Ibrahim Abdelmageed | Giussani, Giorgia | Gnedovskaya, Elena V. | Godwin, William W. | Goli, Srinivas | Gomez-Dantes, Hector | Gona, Philimon N. | Gopalani, Sameer Vali | Goulart, Alessandra C. | Grada, Ayman | Grams, Morgan E. | Grosso, Giuseppe | Gugnani, Hanish Chander | Guo, Yuming | Gupta, Rahul | Gupta, Rajeev | Gupta, Tanush | Gutierrez, Reyna Alma | Gutierrez-Torres, Daniela S. | Haagsma, Juanita A. | Habtewold, Tesfa Dejenie | Hachinski, Vladimir | Hafezi-Nejad, Nima | Hagos, Tekleberhan B. | Hailegiyorgis, Tewodros Tesfa | Hailu, Gessessew Bugssa | Haj-Mirzaian, Arvin | Haj-Mirzaian, Arya | Hamadeh, Randah R. | Hamidi, Samer | Handal, Alexis J. | Hankey, Graeme J. | Liao, Yuantao | Harb, Hilda L. | Harikrishnan, Sivadasanpillai | Haro, Josep Maria | Hassankhani, Hadi | Hassen, Hamid Yimam | Havmoeller, Rasmus | Hawley, Caitlin N. | Hay, Simon I. | Hedayatizadeh-Omran, Akbar | Heibati, Behzad | Heidari, Behnam | Heidari, Mohsen | Hendrie, Delia | Henok, Andualem | Heredia-Pi, Ileana | Herteliu, Claudiu | Heydarpour, Fatemeh | Heydarpour, Sousan | Hibstu, Desalegn T. | Higazi, Tarig B. | Hilawe, Esayas Haregot | Hoek, Hans W. | Hoffiman, Howard J. | Hole, Michael K. | Rad, Enayatollah Homaie | Hoogar, Praveen | Hosgood, H. Dean | Hosseini, Seyed Mostafa | Hosseinzadeh, Mehdi | Hostiuc, Mihaela | Hostiuc, Sorin | Hoy, Damian G. | Hsairi, Mohamed | Hsiao, Thomas | Hu, Guoqing | Ha, Howard | Huang, John J. | Hussen, Mamusha Aman | Huynh, Chantal K. | Iburg, Kim Moesgaard | Ikeda, Nayu | Ilesanmi, Olayinka Stephen | Iqbal, Usman | Irvani, Seyed Sina Naghibi | Irvine, Caleb Mackay Salpeter | Islam, Sheikh Mohammed Shariful | Islami, Farhad | Jackson, Maria D. | Jacobsen, Kathryn H. | Jahangiry, Leila | Jahanmehr, Nader | Jain, Sudhir Kumar | Jakovljevic, Mihajlo | James, Spencer L. | Jassal, Simerjot K. | Jayatilleke, Achala Upendra | Jeemon, Panniyammakal | Jha, Ravi Prakash | Jha, Vivekanand | Ji, John S. | Jonas, Jost B. | Jonnagaddala, Jitendra | Shushtari, Zahra Jorjoran | Joshi, Ankur | Jozwiak, Jacek Jerzy | Jurisson, Mikk | Kabir, Zubair | Kahsay, Amaha | Kalani, Rizwan | Kanchan, Tanuj | Kant, Surya | Kar, Chittaranjan | Karami, Manoochehr | Matin, Behzad Karami | Karch, Andre | Karema, Corine | Karimi, Narges | Karimi, Seyed M. | Kasaeian, Amir | Kassa, Dessalegn H. | Kassa, Getachew Mullu | Kassa, Tesfaye Dessale | Kassebaum, Nicholas J. | Katikireddi, Srinivasa Vittal | Kaul, Anil | Kawakami, Norito | Kazemi, Zhila | Karyani, Ali Kazemi | Kefale, Adane Teshome | Keiyoro, Peter Njenga | Kemp, Grant Rodgers | Kengne, Andre Pascal | Keren, Andre | Kesavachandran, Chandrasekharan Nair | Khader, Yousef Saleh | Khafaei, Behzad | Khafaie, Morteza Abdullatif | Khajavi, Alireza | Khalid, Nauman | Khalil, Ibrahim A. | Khan, Gulfaraz | Khan, Muhammad Shahzeb | Khan, Muhammad Ali | Khang, Young-Ho | Khater, Mona M. | Khazaei, Mohammad | Khazaie, Habibolah | Khoja, Abdullah T. | Khosravi, Ardeshir | Khosravi, Mohammad Hossein | Kiadaliri, Aliasghar A. | Kiirithio, Daniel N. | Kim, Cho-Il | Kim, Daniel | Kim, Young-Eun | Kim, Yun Jin | Kimokoti, Ruth W. | Kinfh, Yohannes | Kisa, Adnan | Kissimova-Skarbek, Katarzyna | Kivimaki, Mika | Knibbs, Luke D. | Knudsen, Ann Kristin Skrindo | Kochhar, Sonali | Kokubo, Yoshihiro | Kolola, Tufa | Kopec, Jacek A. | Kosen, Soewarta | Koul, Parvaiz A. | Koyanagi, Ai | Kravchenko, Michael A. | Krishan, Kewal | Krohn, Kristopher J. | Kromhout, Hans | Defo, Barthelemy Kuate | Bicer, Burcu Kucuk | Kumar, G. Anil | Kumar, Manasi | Kuzin, Igor | Kyu, Hmwe Hmwe | Lachat, Carl | Lad, Deepesh P. | Lad, Sheetal D. | Lafranconi, Alessandra | Lalloo, Ratilal | Lallukka, Tea | Lami, Faris Hasan | Lang, Justin J. | Lansingh, Van C. | Larson, Samantha Leigh | Latifi, Arman | Lazarus, Jeffrey V. | Lee, Paul H. | Leigh, James | Leili, Mostafa | Leshargie, Chem Tesema | Leung, Janni | Levi, Miriam | Lewycka, Sonia | Li, Shanshan | Li, Yichong | Liang, Juan | Liang, Xiaofeng | Lian, Yu | Liben, Misgan Legesse | Lim, Lee-Ling | Linn, Shai | Liu, Shiwei | Lodha, Rakesh | Logroscino, Giancarlo | Lopez, Alan D. | Lorkowski, Stefan | Lotufo, Paulo A. | Lozano, Rafael | Lucas, Tim C. D. | Lunevicius, Raimundas | Ma, Stefan | Macarayan, Erlyn Rachele King | Machado, Isis Eloah | Madotto, Fabiana | Mai, Hue Thi | Majdan, Marek | Majdzadeh, Reza | Majeed, Azeem | Malekzadeh, Reza | Malta, Deborah Carvalho | Mamum, Abdullah A. | Manda, Ana-Laura | Manguerra, Helena | Mansournia, Mohammad Ali | Mantovani, Lorenzo Giovanni | Maravilla, Joemer C. | Marcenes, Wagner | Marks, Ashley | Martin, Randall V. | Martins, Sheila C. | Martins-Melo, Francisco Rogerlandio | Marz, Winfried | Marzan, Melvin B. | Massenburg, Benjamin Ballard | Mathur, Manu Rai | Mathur, Prashant | Matsushita, Kunihiro | Maulik, Pallab K. | Mazidi, Mohsen | McAlinden, Cohn | McGrath, John J. | McKee, Martin | Mehrotra, Ravi | Mehta, Kala M. | Mehta, Varshil | Meier, Toni | Mekonnen, Fantahun Ayenew | Melaku, Yohannes A. | Melese, Addisu | Melku, Mulugeta | Memiah, Peter T. N. | Memish, Ziad A. | Mendoza, Walter | Mengistu, Desalegn Tadese | Mensah, George A. | Mensink, Gert B. M. | Mereta, Seid Tiku | Meretola, Atte | Meretoja, Tuomo J. | Mestrovic, Tomislav | Mezgebe, Haftay Berhane | Miazgowski, Bartosz | Miazgowski, Tomasz | Millear, Anoushka I. | Miller, Ted R. | Miller-Petrie, Molly Katherine | Mini, G. K. | Mirarefin, Mojde | Mirica, Andreea | Mirrakhimov, Erkin M. | Misganaw, Awoke Temesgen | Mitiku, Habtamu | Moazen, Babak | Mohajer, Bahram | Mohammad, Karzan Abdulmuhsin | Mohammadi, Moslem | Mohammadifard, Noushin | Mohammadnia-Afrouzi, Mousa | Mohammed, Shafiu | Mohebi, Farnam | Mokdad, Ali H. | Molokhia, Mariam | Momeniha, Fatemeh | Monasta, Lorenzo | Moodley, Yoshan | Moradi, Ghobad | Moradi-Lakeh, Maziar | Moradinazar, Mehdi | Moraga, Paula | Morawska, Lidia | Morgado-Da-Costa, Joana | Morrison, Shane Douglas | Moschos, Marilita M. | Mouodi, Simin | Mousavi, Seyyed Meysam | Mozaffarian, Dariush | Mruts, Kalayu Brhane | Muche, Achenef Asmamaw | Muchie, Kindle Fentahun | Mueller, Ulrich Otto | Muhammed, Oumer Sada | Mukhopadhyay, Satinath | Muller, Kate | Musa, Kamarul Imran | Mustafa, Ghulam | Nabhan, Ashraf F. | Naghavi, Mohsen | Naheed, Aliya | Nahvijou, Azin | Naik, Gurudatta | Naik, Nitish | Najafi, Land | Nangia, Vinay | Nansseu, Jobert Richie | Nascimento, Bruno Ramos | Neal, Bruce | Neamati, Nahid | Negoi, Iona T. | Negoi, Ruxandra Irina | Neupane, Subas | Newton, Charles Richard James | Ngunjiri, Josephine V. | Anh Quynh Nguyen | Nguyen, Grant | Ha Thu Nguyen | Huong Lan Thi Nguyen | Huong Thanh Nguyen | Minh Nguyen | Nam Ba Nguyen | Nichols, Emma | Nie, Jing | Ningrum, Dina Nur Anggraini | Nirayo, Yirga Legesse | Nishi, Nobuo | Nixon, Molly R. | Nojomi, Marzieh | Nomura, Shuhei | Norheim, Ole F. | Noroozi, Mehdi | Norrving, Bo | Noubiap, Jean Jacques | Nouri, Hamid Reza | Shiadeh, Malihe Nourollahpour | Nowroozi, Mohammad Reza | Nsoesie, Elaine O. | Nyasulu, Peter S. | Obermeyer, Carla M. | Odell, Christopher M. | Ofori-Asenso, Richard | Ogbo, Felix Akpojene | Oh, In-Hwan | Oladimeji, Olanrewaju | Olagunju, Andrew T. | Olagunju, Tinuke O. | Olivares, Pedro R. | Olsen, Helen Elizabeth | Olusanya, Bolajoko Olubukunola | Olusanya, Jacob Olusegun | Ong, Kanyin L. | Ong, Sok King | Oren, Eyal | Orpana, Heather M. | Ortiz, Alberto | Ota, Erika | Otstavnov, Stanislav S. | Overland, Simon | Owolabi, Mayowa Ojo | Pacella, Mahesh P. A. Rosana | Pakhare, Abhijit P. | Pakpour, Amir H. | Pana, Adrian | Panda-Jonas, Songhomitra | Park, Eun-Kee | Parry, Charles D. H. | Parisian, Hadi | Patel, Shanti | Pati, Sanghamitra | Patil, Snehal T. | Patle, Ajay | Patton, George C. | Paudel, Deepak | Paulson, Katherine R. | Ballesteros, Wayra Citlali Paz | Pearce, Neil | Pereira, Alexandre | Pereira, David M. | Perico, Norberto | Pesudovs, Konrad | Petzold, Max | Hai Quang Pham | Phillips, Michael R. | Pillay, Julian David | Piradov, Michael A. | Pirsaheb, Meghdad | Pischon, Tobias | Pishgar, Farhad | Plana-Ripoll, Oleguer | Plass, Dietrich | Polinder, Suzanne | Polkinghorne, Kevan R. | Postma, Maarten J. | Poulton, Richie | Pourshams, Akram | Poustchi, Hossein | Prabhakaran, Dorairal | Prakash, Swayam | Prasad, Narayan | Purcell, Caroline A. | Purwar, Manorama B. | Qorbani, Mostafa | Radfar, Amir | Rafay, Anwar | Rafiei, Alireza | Rahim, Fakher | Rahimi, Zohreh | Rahimi-Movaghar, Afarin | Rahimi-Movaghar, Vafa | Rahman, Mahfuzar | Rahman, Mohammad Hifz Ur | Rahman, Muhammad Aziz | Rai, Rajesh Kumar | Rajati, Fatemeh | Rajsic, Sasa | Raju, Sree Bhushan | Ram, Usha | Ranabhat, Chhabi Lal | Ranjan, Prabhat | Rath, Goura Kishor | Rawaf, David Laith | Rawaf, Salman | Reddy, K. Srinath | Rehm, Colin D. | Rehm, Jurgen | Reiner, Robert C. | Reitsma, Marissa B. | Remuzzi, Giuseppe | Renzaho, Andre M. N. | Resnikoff, Serge | Reynales-Shigematsu, Luz Myriam | Rezaei, Satar | Ribeiro, Antonio Luiz P. | Rivera, Juan A. | Roba, Kedir Teji | Rodrigues-Ramirez, Sonia | Roever, Leonardo | Roman, Yesenia | Ronfani, Luca | Roshandel, Gholamreza | Rostami, Ali | Roth, Gregory A. | Rothenbacher, Dietrich | Roy, Ambuj | Rubagotti, Enrico | Rushton, Lesley | Sabanayagam, Charumathi | Sachdev, Perminder S. | Saddik, Basema | Sadeghi, Ehsan | Moghaddam, Sahar Saeedi | Safari, Hosein | Safari, Yahya | Safari-Faramani, Roya | Safdarian, Mandi | Safi, Sare | Safiri, Saeid | Sagar, Rajesh | Sahebkar, Amirhossein | Sahraian, Mohammad Ali | Sajadi, Haniye Sadat | Salam, Nasir | Salamati, Payman | Saleem, Zikria | Salimi, Yahya | Salimeadeh, Hamideh | Salomon, Joshua A. | Salvi, Devashri Digvijay | Satz, Inbal | Samy, Abdullah M. | Sanabria, Juan | Sanchez-Nino, Maria Dolores | Sanchez-Pimienta, Tania G. | Sanders, Taren | Sang, Yingying | Santomauro, Damian Francesco | Santos, Itamar S. | Santos, Joao Vasco | Milicevic, Milena M. Santric | Jose, Bruno Piassi Sao | Sardana, Mayank | Sacker, Abdur Razzaque | Sarmiento-Suarez, Rodrigo | Sarrafzadegan, Nizal | Sartorius, Benn | Sarvi, Shahabeddin | Sathian, Brifesh | Satpathy, Maheswar | Sawant, Arundhati R. | Sawhney, Monika | Saylan, Mete | Sayyah, Mehdi | Schaeffner, Elke | Schmidt, Maria Ines | Schneider, Ione J. C. | Schottker, Ben | Schutte, Aletta Elisabeth | Schwehel, David C. | Schwendicke, Falk | Scott, James G. | Seedat, Soraya | Sekerija, Mario | Sepanlou, Sadaf G. | Serre, Marc L. | Servan-Mori, Edson | Seyedmousavi, Seyedmojtaba | Shabaninejad, Hosein | Shaddick, Gavin | Shafieesabet, Azadeh | Shahbazi, Mehdi | Shaheen, Amira A. | Shaikh, Masood Ali | Levy, Teresa Slaamah | Shams-Beyranvand, Mehran | Shamsi, Mohammadbagher | Sharafi, Heidar | Sharafi, Kiomairs | Sharif, Mehdi | Sharif-Alhoseini, Matadi | Sharifi, Hamid | Sharma, Jayendra | Sharma, Meenakshi | Sharma, Rajesh | She, Jun | Sheikh, Aziz | Shi, Peilin | Shibuya, Kenji | Shiferaw, Mekonnen Sisay | Shigematsu, Mika | Shin, Min-Jeong | Shirt, Rahman | Shirkoohi, Reza | Shiue, Ivy | Shokraneh, Farhad | Shoman, Haitham | Shrime, Mark G. | Shupler, Matthew S. | Si, Si | Siabani, Soraya | Sibai, Abla Mehio | Siddiqi, Tariq J. | Sigfusdottir, Inga Dora | Sigurvinsdottir, Rannveig | Silva, Diego Augusto Santos | Silva, Joao Pedro | Silveira, Dayane Gabriele Alves | Singh, Jasvinder A. | Singh, Narinder Pal | Singh, Virendra | Sinha, Dhirendra Narain | Skiadaresi, Eirini | Skirbekk, Vegard | Smith, David L. | Smith, Mari | Sobaih, Badr Hasan | Sobhani, Soheila | Somayaji, Ranjani | Soofi, Moslem | Sorensen, Reed J. D. | Soriano, Joan B. | Soyiri, Ireneous N. | Spinelli, Angela | Sposato, Luciano A. | Sreeramareddy, Chandrashekhar T. | Srinivasan, Vinay | Starodubow, Vladimir I. | Steckling, Nadine | Stein, Dan J. | Stein, Murray B. | Stevanovic, Goran | Stockfelt, Leo | Stokes, Mark A. | Sturua, Lela | Subart, Michelle L. | Sudaryanto, Agus | Sufiyan, Mu'awiyyah Babale | Sulo, Gerhard | Sunguya, Bruno F. | Sur, Patrick John | Sykes, Bryan I. | Szoeke, Cassandra E. I. | Tabares-Seisdedos, Rafael | Tabuchi, Takahiro | Tadakamadla, Santosh Kumar | Takahashi, Ken | Tandon, Nikhil | Tassew, Segen Gebremeskel | Tavakkoli, Mohammad | Taveira, Nuno | Tehrani-Banihashemi, Arash | Tekalign, Tigist Gashaw | Tekelemedhin, Shishay Wandey | Tekle, Merhawi Gebremedhin | Temesgen, Habtamu | Temsah, Mohamad-Rani | Temsah, Omar | Terkawi, Abdullah Sulieman | Tessema, Belay | Teweldemedhin, Mebrahtu | Thankappan, Kavumpurathu Raman | Theis, Andrew | Thirunavukkarasu, Sathish | Thomas, Hannah J. | Thomas, Matthew Lloyd | Thomas, Nihal | Thurston, George D. | Tilahun, Binyam | Tillmana, Taavi | To, Quyen G. | Tobollik, Myriarn | Tonelli, Marcello | Topor-Madry, Roman | Torre, Anna E. | Tortajada-Girbes, Miguel | Touvier, Mathilde | Tovani-Palone, Marcos Roberto | Towbin, Jeffrey A. | Tran, Bach Xuan | Tran, Khanh Baca | Truelsen, Thomas Clement | Nu Thi Truong | Tsadik, Afewerki Gebremeskel | Car, Lorainne Tudor | Tuzcu, E. Murat | Tymeson, Hayley D. | Tyrovolas, Stefanos | Ukwaja, Kingsley N. | Ullah, Irfan | Updike, Rachel L. | Usman, Muhammad Shariq | Uthman, Olalekan A. | Vaduganathan, Mutblab | Vaezi, Afsane | Valdez, Pascual R. | Van Donkelaar, Aaron | Varavikova, Elena | Varughese, Santosh | Vasankari, Tommi Juhani | Venkateswaran, Vidhya | Venketasubramanian, Narayanaswamy | Villafaina, Santos | Violante, Francesco S. | Vladimirov, Sergey Konstantinovitch | Vlassov, Vasily | Vollset, Stein Emil | Vos, Theo | Vbsoughi, Kia | Vu, Giang Thu | Vujcic, Isidora S. | Wagnew, Fasil Shiferaw | Waheed, Yasir | Waller, Stephen G. | Walson, Judd L. | Wang, Yafeng | Wang, Yanping | Wang, Yuan-Pang | Weiderpass, Elisabete | Weintraub, Robert G. | Weldegebreal, Fitsum | Werdecker, Andrea | Weiknah, Adhena Ayaliew | West, J. Jason | Westerman, Ronny | Whiteford, Harvey A. | Widecka, Justyna | Wijeratne, Tissa | Winkler, Andrea Sylvia | Wiyeh, Alison B. | Wiysonge, Charles Shey | Wolfe, Charles D. A. | Wong, Tien Yin | Wu, Shoaling | Xavier, Denis | Xu, Gelin | Yadgir, Simon | Yadollahpour, Ali | Jabbari, Seyed Hossein Yahyazadeh | Yamada, Tomohide | Yan, Lijing L. | Yano, Yuichiro | Yaseri, Mehdi | Yasin, Jemal Yasin | Yeshanely, Alex | Yimer, Ebrahim M. | Yip, Paul | Yisma, Engida | Yonemoto, Naohiro | Yoon, Seok-Jun | Yotebieng, Marcel | Younis, Mustafa Z. | Yousefifard, Mahmoud | Yu, Chuanhua | Zaidi, Zoubida | Bin Zaman, Sojib | Zamani, Mohammad | Zavala-Arciniega, Luis | Zhang, Anthony Lin | Zhang, Hao | Zhang, Kai | Thou, Maigeng | Zimsen, Stephanie M. | Zodpey, Sanjay | Murray, Christopher J. L.
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Abstract :

Background The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 comparative risk assessment (CRA) is a comprehensive approach to risk factor quantification that offers a useful tool for synthesising evidence on risks and risk outcome associations. With each annual GBD study, we update the GBD CRA to incorporate improved methods, new risks and risk outcome pairs, and new data on risk exposure levels and risk outcome associations. Methods We used the CRA framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or groups of risks from 1990 to 2017. This study included 476 risk outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk and exposure estimates from 46 749 randomised controlled trials, cohort studies, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. We explored the relationship between development and risk exposure by modelling the relationship between the Socio-demographic Index (SDI) and risk-weighted exposure prevalence and estimated expected levels of exposure and risk-attributable burden by SDI. Finally, we explored temporal changes in risk-attributable DALYs by decomposing those changes into six main component drivers of change as follows: (1) population growth; (2) changes in population age structures; (3) changes in exposure to environmental and occupational risks; (4) changes in exposure to behavioural risks; (5) changes in exposure to metabolic risks; and (6) changes due to all other factors, approximated as the risk-deleted death and DALY rates, where the risk-deleted rate is the rate that would be observed had we reduced the exposure levels to the TMREL for all risk factors included in GBD 2017. Findings In 2017,34.1 million (95% uncertainty interval [UI] 33.3-35.0) deaths and 121 billion (144-1.28) DALYs were attributable to GBD risk factors. Globally, 61.0% (59.6-62.4) of deaths and 48.3% (46.3-50.2) of DALYs were attributed to the GBD 2017 risk factors. When ranked by risk-attributable DALYs, high systolic blood pressure (SBP) was the leading risk factor, accounting for 10.4 million (9.39-11.5) deaths and 218 million (198-237) DALYs, followed by smoking (7.10 million [6.83-7.37] deaths and 182 million [173-193] DALYs), high fasting plasma glucose (6.53 million [5.23-8.23] deaths and 171 million [144-201] DALYs), high body-mass index (BMI; 4.72 million [2.99-6.70] deaths and 148 million [98.6-202] DALYs), and short gestation for birthweight (1.43 million [1.36-1.51] deaths and 139 million [131-147] DALYs). In total, risk-attributable DALYs declined by 4.9% (3.3-6.5) between 2007 and 2017. In the absence of demographic changes (ie, population growth and ageing), changes in risk exposure and risk-deleted DALYs would have led to a 23.5% decline in DALYs during that period. Conversely, in the absence of changes in risk exposure and risk-deleted DALYs, demographic changes would have led to an 18.6% increase in DALYs during that period. The ratios of observed risk exposure levels to exposure levels expected based on SDI (O/E ratios) increased globally for unsafe drinking water and household air pollution between 1990 and 2017. This result suggests that development is occurring more rapidly than are changes in the underlying risk structure in a population. Conversely, nearly universal declines in O/E ratios for smoking and alcohol use indicate that, for a given SDI, exposure to these risks is declining. In 2017, the leading Level 4 risk factor for age-standardised DALY rates was high SBP in four super-regions: central Europe, eastern Europe, and central Asia; north Africa and Middle East; south Asia; and southeast Asia, east Asia, and Oceania. The leading risk factor in the high-income super-region was smoking, in Latin America and Caribbean was high BMI, and in sub-Saharan Africa was unsafe sex. O/E ratios for unsafe sex in sub-Saharan Africa were notably high, and those for alcohol use in north Africa and the Middle East were notably low. Interpretation By quantifying levels and trends in exposures to risk factors and the resulting disease burden, this assessment offers insight into where past policy and programme efforts might have been successful and highlights current priorities for public health action. Decreases in behavioural, environmental, and occupational risks have largely offset the effects of population growth and ageing, in relation to trends in absolute burden. Conversely, the combination of increasing metabolic risks and population ageing will probably continue to drive the increasing trends in non-communicable diseases at the global level, which presents both a public health challenge and opportunity. We see considerable spatiotemporal heterogeneity in levels of risk exposure and risk-attributable burden. Although levels of development underlie some of this heterogeneity, O/E ratios show risks for which countries are overperforming or underperforming relative to their level of development. As such, these ratios provide a benchmarking tool to help to focus local decision making. Our findings reinforce the importance of both risk exposure monitoring and epidemiological research to assess causal connections between risks and health outcomes, and they highlight the usefulness of the GBD study in synthesising data to draw comprehensive and robust conclusions that help to inform good policy and strategic health planning. Copyright (C) 2018 The Author(s). Published by Elsevier Ltd.

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GB/T 7714 Stanaway, Jeffrey D. , Afshin, Ashkan , Gakidou, Emmanuela et al. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017 [J]. | LANCET , 2018 , 392 (10159) : 1923-1994 .
MLA Stanaway, Jeffrey D. et al. "Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017" . | LANCET 392 . 10159 (2018) : 1923-1994 .
APA Stanaway, Jeffrey D. , Afshin, Ashkan , Gakidou, Emmanuela , Lim, Stephen S. , Abate, Degu , Abate, Kalkidan Hassell et al. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017 . | LANCET , 2018 , 392 (10159) , 1923-1994 .
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More than double jeopardy: An intersectional analysis of persistent income disadvantages of Chinese female migrant workers SSCI Scopus
期刊论文 | 2018 , 24 (2) , 246-269 | ASIAN JOURNAL OF WOMENS STUDIES
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Abstract :

Researchers have attributed the low wages of Chinese female migrant workers to the independent effects of gender and hukou (household registration). Using an intersectional perspective that recognizes the interplay of gender, birthplace, and hukou, this paper identifies six different groups of workers in China's urban labor market. Both in-depth interviews and survey data demonstrate that from 2003 to 2013, a decade seen as one of China's continuous economic growth and rising income inequality, female migrant workers earned the lowest wages among the six groups, and their income disadvantages were more than double the disadvantages of gender and hukou combined. This trend was persistent during this decade even after the workers' education, party membership, and labor market segregation were taken into account. These results imply a within-job wage differential for female migrant workers and a discriminatory wage policy that is tacitly observed by both state and private employers.

Keyword :

Intersectionality income inequality hukou female migrant workers China patriarchy

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GB/T 7714 Wang, Yixuan , Cheng, Cheng , Bian, Yanjie . More than double jeopardy: An intersectional analysis of persistent income disadvantages of Chinese female migrant workers [J]. | ASIAN JOURNAL OF WOMENS STUDIES , 2018 , 24 (2) : 246-269 .
MLA Wang, Yixuan et al. "More than double jeopardy: An intersectional analysis of persistent income disadvantages of Chinese female migrant workers" . | ASIAN JOURNAL OF WOMENS STUDIES 24 . 2 (2018) : 246-269 .
APA Wang, Yixuan , Cheng, Cheng , Bian, Yanjie . More than double jeopardy: An intersectional analysis of persistent income disadvantages of Chinese female migrant workers . | ASIAN JOURNAL OF WOMENS STUDIES , 2018 , 24 (2) , 246-269 .
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Which Socio-Economic Indicators Influence Collective Morality? Big Data Analysis on Online Chinese Social Media SSCI Scopus
期刊论文 | 2018 , 54 (4) , 792-800 | EMERGING MARKETS FINANCE AND TRADE
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Abstract :

The relationship between Socio-economic factors and morality remains controversial. Previous research has found that wealth makes people unethical, while other research suggests that poverty is a good predictor of unethical behavior. The relationship between other social factors is also ambiguous. In the current study, the relationship between socio-economic indicators reported by the National Bureau of Statistics of the People's Republic of China and moral motivation revealed from online social networking, Sina Weibo was constructed. Using data from the whole year of 2013 Sina Weibo microblogs, we found that the poor and rich areas were more willing to behave immorally, and the relation between GDP and collective moral motivation was curved. Also, normal people were less ethical when prices increased than when incomes decreased. Ecological construction and the value added by industries which used more farmers and off-farm workers were both correlated with morality. We also found a dark side to science and technological innovation, which harmed collective morality when areas grew richer. But all the results we found were correlational, more casual lab experiments were needed in future research.

Keyword :

GDP moral motivation online social network big data morality

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GB/T 7714 Zhang, Yu , Yu, Feng . Which Socio-Economic Indicators Influence Collective Morality? Big Data Analysis on Online Chinese Social Media [J]. | EMERGING MARKETS FINANCE AND TRADE , 2018 , 54 (4) : 792-800 .
MLA Zhang, Yu et al. "Which Socio-Economic Indicators Influence Collective Morality? Big Data Analysis on Online Chinese Social Media" . | EMERGING MARKETS FINANCE AND TRADE 54 . 4 (2018) : 792-800 .
APA Zhang, Yu , Yu, Feng . Which Socio-Economic Indicators Influence Collective Morality? Big Data Analysis on Online Chinese Social Media . | EMERGING MARKETS FINANCE AND TRADE , 2018 , 54 (4) , 792-800 .
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Research on Big Data Digging of Hot Topics about Recycled Water Use on Micro-Blog Based on Particle Swarm Optimization SSCI SCIE Scopus
期刊论文 | 2018 , 10 (7) | SUSTAINABILITY
WoS CC Cited Count: 43
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Abstract :

The public's acceptance level of recycled water use is a key factor that affects the popularization of this technology; therefore, it is critical to know the public's attitude in order to make guiding policies effectively and scientifically. To examine the major focuses and hot topics among the public about recycled water use, one of the major platforms for social opinion in China, the micro blog, is used as a source to obtain data related to the topic. Through the "follow-be followed" and "forward-dialogue" behaviors, a network of discussion of recycled water use among micro-blog users has been constructed. Improved particle swarm optimization has been used to allow deep digging for key words. Ultimately, key words about the topic of have been clustered into three categories, namely, the popularization status of recycled water use, the main application, and the public's attitude. The conclusion accurately describes the concerns of Chinese citizens regarding recycled water use, and has important significance for the popularization of this technology.

Keyword :

big date micro-blog particle swarm optimization recycled water use

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GB/T 7714 Fu, Hanliang , Li, Zhaoxing , Liu, Zhijian et al. Research on Big Data Digging of Hot Topics about Recycled Water Use on Micro-Blog Based on Particle Swarm Optimization [J]. | SUSTAINABILITY , 2018 , 10 (7) .
MLA Fu, Hanliang et al. "Research on Big Data Digging of Hot Topics about Recycled Water Use on Micro-Blog Based on Particle Swarm Optimization" . | SUSTAINABILITY 10 . 7 (2018) .
APA Fu, Hanliang , Li, Zhaoxing , Liu, Zhijian , Wang, Zelin . Research on Big Data Digging of Hot Topics about Recycled Water Use on Micro-Blog Based on Particle Swarm Optimization . | SUSTAINABILITY , 2018 , 10 (7) .
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The Structure of Labor Markets in the US and China: Social Capital and Guanxi SSCI Scopus
期刊论文 | 2018 , 14 (1) , 5-36 | MANAGEMENT AND ORGANIZATION REVIEW
WoS CC Cited Count: 1
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Abstract :

Despite the major cultural and political differences between the United States and China, in both countries access to jobs is supposed to be guided by fair and equitable procedures. In the US, there is a presumption of an open labor market in which potential employees compete on the basis of their qualifications, where the fairness of decisions is guided by anti-discrimination laws and normative organizational policies. In China, although there is a history of close relationships that guide the exchange of favors, following the 1949 revolution, Communist Party leaders were given the authority to allocate positions in ways that were supposed to eliminate special privileges of class and background. Yet recent research has suggested that social connections are an important part of getting a job in both the US and China for two-thirds to three-quarters of job seekers. In the US context, such connections are described as social capital. In the Chinese context, connections are defined as guanxi. In this article, we review research on labor market processes in both the US and China to address three important questions: (a) How can we understand the similar functioning of labor markets in such distinct cultural and political systems as the US and China? (b) What are the mechanisms or processes by which people find jobs in the US and China, and how are people able to access these mechanisms or processes in the context of constraining social structures and legal environments? and (c) What are the theoretical implications of the generalized particularism' that seems to shape labor markets in both the US and China.

Keyword :

guanxi social capital labor markets social networks

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GB/T 7714 DiTomaso, Nancy , Bian, Yanjie . The Structure of Labor Markets in the US and China: Social Capital and Guanxi [J]. | MANAGEMENT AND ORGANIZATION REVIEW , 2018 , 14 (1) : 5-36 .
MLA DiTomaso, Nancy et al. "The Structure of Labor Markets in the US and China: Social Capital and Guanxi" . | MANAGEMENT AND ORGANIZATION REVIEW 14 . 1 (2018) : 5-36 .
APA DiTomaso, Nancy , Bian, Yanjie . The Structure of Labor Markets in the US and China: Social Capital and Guanxi . | MANAGEMENT AND ORGANIZATION REVIEW , 2018 , 14 (1) , 5-36 .
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