1,603 results on '"Dickson K"'
Search Results
152. Status of Solar Technology Implementation in the Southern African Developing Community (SADC) Region
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Jadhav, Atul S., Chembe, Dickson K., Strauss, Johann M., and Van Niekerk, Johannes L.
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- 2017
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153. Association of Calnexin with Mutant Peripheral Myelin Protein-22 ex vivo: A Basis for "Gain-of-Function" ER Diseases
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Dickson, K. M., Bergeron, J. J. M., Shames, I., Colby, J., Nguyen, D. T., Chevet, E., Thomas, D. Y., and Snipes, G. J.
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- 2002
154. The level of youth involvement in church-initiated programmes in Methodist church in Kenya, Nyambene synod
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null Elizabeth Kathuure Maitai, null Dickson K. Nkonge, and null David Bururia
- Abstract
The study aimed to examine the youth involvement level in Church initiated programmes in the Methodist Church in Kenya, Nyambene Synod. Methodist Church in Kenya has come up with Church-initiated programmes to assist the youth struggling with different life issues. However, the problem continues to persist in Nyambene Synod, where the youth have kept migrating from MCK to other churches, despite the significant role church-initiated programmes play in church. The study employed a descriptive research design. Data were obtained from questionnaires, focus group discussions and interview schedules. Functionalism theory was used to establish the level of youth involvement in church-initiated programmes. The study found that not all youth participate in church-initiated programmes, and Circuit ministers and circuit leaders were not offering church-initiated programmes effectively. This study recommends that the church ought to embrace modern ways, including technology, to involve more youth in the programmes and give the youth more room to express themselves through different youth activities, which should be carried out more often to retain them in church.
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- 2022
155. Water Meter Inaccuracy Assessment and Operation Control Considering Customer Information.
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Gidion, Dickson K., Masawe, Ezrael J., Chanzi, Ghanima H., Rutakyamirwa, Gonsalves, and Ochieng, Nelson A.
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WATER meters , *CONSUMERS , *ECONOMIC impact , *WATER consumption , *WATER use - Abstract
Water Meter Inaccuracy (WMI) is one of the apparent loss components contributing to an increase in non-revenue water. The estimation of the volume of water lost due to WMI and control within a utility is still a challenge; thus, the current study investigated its field operation using customer consumption records. A few studies estimated WMI using data obtained in a controlled experimental environment; however, WMI assessment requires a significant computation that includes unforeseen field fault operating environment. This study is of the view that experimental results are necessary for meter type selection, based on the designed flow characteristics and proposes a WMI assessment and control approach in which the field under- or over-registering meters are identified in a billing system. The analysis of this study reveals that a utility operation environment, economic factor and social trust can be efficiently improved using customers water consumption records. [ABSTRACT FROM AUTHOR]
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- 2024
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156. Multiple transmission optimization of medical images in recourse-constraint mobile telemedicine systems.
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Nan Jiang 0002, Yi Zhuang 0001, and Dickson K. W. Chiu
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- 2017
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157. Interactive transmission processing for large images in a resource-constraint mobile wireless network.
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Yi Zhuang 0001, Nan Jiang 0002, Hua Hu, Dickson K. W. Chiu, and Qing Li 0001
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- 2017
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158. Motivations for choosing librarianship as a second career among students at the University of British Columbia and the University of Hong Kong.
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Patrick Lo, Dickson K. W. Chiu, Zvjezdana Dukic, Allan Cho, and Jing Liu
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- 2017
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159. Facilitating Cloud Process Family Co-Evolution by Reusable Process Plug-in: An Open-source Prototype.
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Zaiwen Feng, Dickson K. W. Chiu, Rong Peng, Ping Gong 0004, Keqing He 0002, and Yiwang Huang
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- 2017
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160. Motivations and Behaviors of Young People in Playing Online Games.
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Hanxi He, Dickson K. W. Chiu, and Kevin K. W. Ho 0001
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- 2017
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161. Tourists' Mobile Information Seeking Behavior: An Investigation on China's Youth.
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Jing Yi Gong, Fred Schumann, Dickson K. W. Chiu, and Kevin K. W. Ho 0001
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- 2017
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162. The role of the library café as a learning space: A comparative analysis of three universities.
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Qi Deng, Bradley Allard, Patrick Lo, Dickson K. W. Chiu, Eric Wing Kuen See-To, and Alex Z. R. Bao
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- 2019
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163. Behavior and informal learning at night in a 24-hour space: A case study of the Hong Kong Design Institute Library.
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Terry Yip, Dickson K. W. Chiu, Allan Cho, and Patrick Lo
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- 2019
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164. Climate Change Adaptation Planning in Kenya: Do Scientific Evidences Really Count?
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Kwena, Kizito, Ndegwa, William, Esilaba, Anthony O., Nyamwaro, Sospeter O., Wamae, Dickson K., Matere, Stella J., Kuyiah, Joan W., Ruttoh, Reuben J., Kibue, Anthony M., Leal Filho, Walter, Series editor, Esilaba, Anthony O., editor, Rao, Karuturi P.C., editor, and Sridhar, Gummadi, editor
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- 2015
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165. Towards professionally user-adaptive large medical image transmission processing in mobile telemedicine systems
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Zhuang, Yi, Jiang, Nan, Li, Qing, Hu, Hua, and Chiu, Dickson K. W.
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- 2018
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166. Instagram for student learning and library promotions: a quantitative study using the 5E Instructional Model
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Dickson K. W. Chiu, Hiu Ching LAM, and Kai Wing Ho
- Subjects
Library and Information Sciences ,Information Systems - Abstract
PurposeLibraries worldwide, including Hong Kong, increasingly use social media tools to introduce and promote their services and resources to users. Instagram, in particular, is used to target younger users. This study investigates the effectiveness of Instagram in promoting library services and university students' perceptions of the value of Instagram as a learning support tool.Design/methodology/approachA major academic library in Hong Kong was chosen for this study. Library users' habits, perceptions, preferences, and views on Instagram's effectiveness as a learning support tool were compared in two age groups. The data were collected using a survey based on the 5E Instructional Model.FindingsDespite the significantly higher frequency of Instagram use by younger students, the results showed that Instagram was probably an ineffective promotion platform for either age group because of low user engagement, relatively neutral perception of Instagram as a learning support tool, and notably low user acceptance of Instagram as a promotional tool.Originality/valueStudies of student perspectives on various social media tools have increased; however, few have explored the use of Instagram, especially in Hong Kong or Asia. This study provides researchers and librarians with practical insights into current Instagram users' engagement, perceptions, and preferences and their view of its effectiveness as a learning support tool. The study also provides suggestions for improving the current situation.
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- 2022
167. Investigation of water utility efficiency features: production variables and the DEA model choices
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Gidion, Dickson K., primary
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- 2023
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168. The Role of Social Media as Aids for Accounting Education and Knowledge Sharing: Learning Effectiveness and Knowledge Management Perspectives in Mainland China
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Xie, Ziqing, primary, Chiu, Dickson K. W., additional, and Ho, Kevin K. W., additional
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- 2023
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169. Short-Form Videos for Public Library Marketing: Performance Analytics of Douyin in China
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Liu, Ying, primary, Chiu, Dickson K. W., additional, and Ho, Kevin K. W., additional
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- 2023
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170. Bridging K–12 Mathematics and Computational Thinking in the Scratch Community: Implications Drawn From a Creative Learning Context
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Xie, Zerong, primary, Wong, Gary K. W., additional, Chiu, Dickson K. W., additional, and Lei, Junru, additional
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- 2023
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171. Sentiment Analysis and Topic Modeling Regarding Online Classes on the Reddit Platform: Educators versus Learners
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Li, Shanghao, primary, Xie, Zerong, additional, Chiu, Dickson K. W., additional, and Ho, Kevin K. W., additional
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- 2023
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172. CRISPR single base-editing: in silico predictions to variant clonal cell lines.
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Dickson, K-A, Field, N, Blackman, T, Ma, Y, Xie, T, Kurangil, E, Idrees, S, Rathnayake, SNH, Mahbub, RM, Faiz, A, Marsh, DJ, Dickson, K-A, Field, N, Blackman, T, Ma, Y, Xie, T, Kurangil, E, Idrees, S, Rathnayake, SNH, Mahbub, RM, Faiz, A, and Marsh, DJ
- Abstract
Engineering single base edits using CRISPR technology including specific deaminases and single-guide RNA (sgRNA) is a rapidly evolving field. Different types of base edits can be constructed, with cytidine base editors (CBEs) facilitating transition of C-to-T variants, adenine base editors (ABEs) enabling transition of A-to-G variants, C-to-G transversion base editors (CGBEs) and recently adenine transversion editors (AYBE) that create A-to-C and A-to-T variants. The base-editing machine learning algorithm BE-Hive predicts which sgRNA and base editor combinations have the strongest likelihood of achieving desired base edits. We have used BE-Hive and TP53 mutation data from The Cancer Genome Atlas (TCGA) ovarian cancer cohort to predict which mutations can be engineered, or reverted to wild-type (WT) sequence, using CBEs, ABEs or CGBEs. We have developed and automated a ranking system to assist in selecting optimally designed sgRNA that considers the presence of a suitable protospacer adjacent motif (PAM), the frequency of predicted bystander edits, editing efficiency and target base change. We have generated single constructs containing ABE or CBE editing machinery, an sgRNA cloning backbone and an enhanced green fluorescent protein tag (EGFP), removing the need for co-transfection of multiple plasmids. We have tested our ranking system and new plasmid constructs to engineer the p53 mutants Y220C, R282W and R248Q into WT p53 cells and shown that these mutants cannot activate four p53 target genes, mimicking the behaviour of endogenous p53 mutations. This field will continue to rapidly progress, requiring new strategies such as we propose to ensure desired base-editing outcomes.
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- 2023
173. Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries
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Adisa, A, Bahrami-Hessari, M, Bhangu, A, George, C, Ghosh, D, Glasbey, J, Haque, P, Ingabire, J, Kamarajah, S, Kudrna, L, Ledda, V, Li, E, Lillywhite, R, Mittal, R, Nepogodiev, D, Ntirenganya, F, Picciochi, M, Simões, J, Booth, L, Elliot, R, Kennerton, A, Pettigrove, K, Pinney, L, Richard, H, Tottman, R, Wheatstone, P, Wolfenden, J, Smith, A, Sayed, A, Goswami, A, Malik, A, Mclean, A, Hassan, A, Nazimi, A, Aladna, A, Abdelgawad, A, Saed, A, Abdelmageed, A, Ghannam, A, Mahmoud, A, Alvi, A, Ismail, A, Adesunkanmi, A, Ebrahim, A, Al-Mallah, A, Alqallaf, A, Durrani, A, Gabr, A, Kirfi, A, Altaf, A, Almutairi, A, Sabbagh, A, Ajiya, A, Haddud, A, Alnsour, A, Singh, A, Mittal, A, Semple, A, Adeniran, A, Negussie, A, Oladimeji, A, Muhammad, A, Yassin, A, Gungor, A, Tarsitano, A, Soibiharry, A, Dyas, A, Frankel, A, Peckham-Cooper, A, Truss, A, Issaka, A, Ads, A, Aderogba, A, Adeyeye, A, Ademuyiwa, A, Sleem, A, Papa, A, Cordova, A, Appiah-Kubi, A, Meead, A, Nacion, A, Michael, A, Forneris, A, Duro, A, Gonzalez, A, Altouny, A, Ghazal, A, Khalifa, A, Ozair, A, Quzli, A, Haddad, A, Othman, A, Yahaya, A, Elsherbiny, A, Nazer, A, Tarek, A, Abu-Zaid, A, Al-Nusairi, A, Azab, A, Elagili, A, Elkazaz, A, Kedwany, A, Nuhu, A, Sakr, A, Shehta, A, Shirazi, A, Mohamed, A, Sherif, A, Awad, A, Abbas, A, Abdelrahman, A, Ammar, A, Azzam, A, Ciftci, A, Dural, A, Sanli, A, Rahy-Martín, A, Tantri, A, Khan, A, Al-Touny, A, Tariq, A, Gmati, A, Costas-Chavarri, A, Auerkari, A, Landaluce-Olavarria, A, Puri, A, Radhakrishnan, A, Ubom, A, Pradhan, A, Turna, A, Adepiti, A, Kuriyama, A, Kassam, A, Hassouneh, A, El-Hussuna, A, Habeebullah, A, Mousli, A, Biloslavo, A, Hoang, A, Kirk, A, Santini, A, Melero, A, Calvache, A, Baduell, A, Chan, A, Abrate, A, Balduzzi, A, Sánchez, A, Navarrete-Peón, A, Porcu, A, Brolese, A, Barranquero, A, Saibene, A, Adam, A, Vagge, A, Maquilón, A, Leon-Andrino, A, Sekulić, A, Trifunovski, A, Mako, A, Bedada, A, Broglia, A, Coppola, A, Giani, A, Grandi, A, Iacomino, A, Moro, A, D’Amico, A, Malagnino, A, Tang, A, Doyle, A, Alfieri, A, Haynes, A, Wilkins, A, Baldwin, A, Heriot, A, Laird, A, Lazarides, A, O'Connor, A, Trulson, A, Rokohl, A, Caziuc, A, Triantafyllou, A, Anesi, A, Nikova, A, Andrianakis, A, Charalabopoulos, A, Tsolakidis, A, Chirca, A, Arnaud, A, Narvaez-Rojas, A, Kavalakat, A, Spina, A, Recordare, A, Annicchiarico, A, Conti, A, Mohammed, A, Kocataş, A, Almhimid, A, Arnaout, A, Fahmy, A, Mangi, A, Modabber, A, Ulas, A, Mohamedahmed, A, Frontali, A, Moynihan, A, Yunus, A, Ahmad, A, Kent, A, Khamees, A, Ugwu, A, Turan, A, Navarro-Barrios, A, Yebes, A, De Sousa, Á, Moreno, A, Sethi, A, Dawson, A, Kaur, A, Wolde, A, Antonelli, A, Scifo, A, Alhamad, A, Davis, A, Alderazi, A, Harky, A, Mohammed-Durosinlorun, A, Seguya, A, Okhakhu, A, Chamakhi, A, Sebai, A, Souadka, A, Asla, A, Agrawal, A, Persad, A, Gupta, A, Elgazar, A, Kulkarni, A, Coates, A, Bellés, A, Hadzibegovic, A, Jotic, A, Kowark, A, Martins, A, Pineda, A, Peral, A, Gollarte, A, Senent-Boza, A, Camarena, A, Castaño-Leon, A, Bravo, A, Musina, A, Tapia-Herrero, A, Kothari, A, Raja, A, Aljaiuossi, A, Taha, A, Majbar, A, Prodromidou, A, Kanatas, A, Gupte, A, Zakaria, A, Balla, A, Barberis, A, Bondurri, A, Bottari, A, Costantino, A, Figus, A, Lauretta, A, Mingoli, A, Romanzi, A, Sagnotta, A, Scacchi, A, Picchetto, A, Valadez, A, Luzzi, A, Älgå, A, Fontalis, A, Hecker, A, Demetriades, A, Serban, A, Văcărașu, A, Cokan, A, Isaza-Restrepo, A, Beamish, A, Schache, A, Stevenson, A, Yiu, A, Cockbain, A, Litvin, A, Abad-Motos, A, Becerra, A, Ramos, Á, Chiaradia, A, Dell, A, Romano, A, Pascale, A, Marra, A, Dimas, A, Kolias, A, Cerovac, A, Koneru, A, Tidjane, A, Agbeko, A, Bajaj, A, Gosain, A, Allan, A, Carreras-Castañer, A, D'Amore, A, Dare, A, Maffioli, A, Palepa, A, Paspala, A, Konney, A, Gatta, A, Ezanno, A, Yiallourou, A, Kinnair, A, Rayner, A, Scafa, A, Bowan, A, Veglia, A, Russo, A, Maniaci, A, Castaldi, A, Gil-Moreno, A, Maffuz-Aziz, A, Meola, A, Nenna, A, Ferrer, A, Bonilla, A, Ramos-De La Medina, A, Infante, A, Santoro, A, Laganà, A, Bateman, A, Abozid, A, Seidu, A, Lowery, A, Tantraworasin, A, Rasheed, A, Picciariello, A, Isik, A, Saif, A, Anjum, A, Ioannidis, A, Abeldaño, A, Hussain, A, Nathan, A, Bedzhanyan, A, Perfecto, A, De Virgilio, A, Galvan, A, Sablotzki, A, Böttcher, A, Pellacani, A, Gatti, A, Ibrahimli, A, Menon, A, Sahni, A, Mwenda, A, Choudhry, A, Jayawardane, A, Ramasamy, A, Mitul, A, Bawa, A, Nugur, A, Rammohan, A, Sachdeva, A, Mehraj, A, Yildirim, A, Alqaseer, A, Radwan, A, Sallam, A, Syllaios, A, Tampakis, A, Alwael, A, Samara, A, Eroglu, A, Rahman, A, Ulkucu, A, Zaránd, A, Dulskas, A, Tawiah, A, Zani, A, Vas, A, Lukosiute-Urboniene, A, Adamu, A, Aujayeb, A, İplikçi, A, Mahmud, A, Cil, A, Makanjuola, A, Akwaisah, A, Galandarova, A, Saracoglu, A, Regan, A, Barlas, A, Alhassan, B, Mostafa, B, Hamida, B, Torun, B, Abdullah, B, Balagobi, B, Banky, B, Singh, B, Alegbeleye, B, Yigit, B, Hajjaj, B, Burgos-Blasco, B, Seeliger, B, Alayande, B, Alhazmi, B, Enodien, B, Torre, B, Pérez, B, Tamayo, B, De Andrés-Asenjo, B, Quintana-Villamandos, B, Girgin, B, Barmayehvar, B, Beisenov, B, Creavin, B, Dunne, B, Marson, B, Waterson, B, Martin, B, Zucker, B, Wong, B, Ozmen, B, Hammond, B, Mbwele, B, Núñez, B, Dhondt, B, Gafsi, B, Mcleish, B, Lieske, B, Tailor, B, La Pira, B, Picardi, B, Zampogna, B, Casagranda, B, Festa, B, Panda, B, Kirmani, B, Sulaiman, B, Gurung, B, Zacharia, B, Bette, B, Ayana, B, Nikolovska, B, Vilaró, B, De Vega Sánchez, B, Hameed, B, Diaconescu, B, Kovacevic, B, Bumber, B, Sakakushev, B, Tadic, B, Malek, B, Alrayes, B, Thomas, B, Gális, B, Gallagher, B, Knowles, B, Cunningham, B, Daley, B, Mishra, B, Ashford, B, Pirozzi, B, Berselli, B, Martinez-Leo, B, Sensi, B, Nardo, B, Celik, B, Giray, B, Abud, B, Almiqlash, B, Pramesh, C, Taskiran, C, De Campos Prado, C, Cipolla, C, Kumar, C, English, C, Riccetti, C, Vanni, C, Brasset, C, Downey, C, Duffy, C, Chwat, C, Cutmore, C, Sars, C, Ratto, C, Pacilio, C, De La Infiesta García, C, Moreno, C, Magalhães, C, Prada, C, Zapata, C, Senni, C, Flumignan, C, Martinez-Perez, C, Duarte, C, Garcia, C, Anderson, C, Hing, C, Cullinane, C, Cina, C, Zabkiewicz, C, Sohrabi, C, Guldogan, C, Ciubotaru, C, Desai, C, Raut, C, Demetriou, C, Handford, C, Okpani, C, Paranjape, C, Koh, C, Khatri, C, Parmar, C, Mok, C, Caricato, C, Marafante, C, Echieh, C, Tan, C, Ong, C, Conso, C, Jardinez, C, Konrads, C, Warner, C, Makwe, C, Henein, C, Fleming, C, Roland, C, Maurus, C, Nitschke, C, Mittermair, C, Mallmann, C, Andro, C, Harmston, C, Kuppler, C, Lotz, C, Nahm, C, Rowe, C, Ryalino, C, Wallis, C, Millward, C, Anthoulakis, C, Apostolou, C, Chouliaras, C, Kalfountzos, C, Kaselas, C, Vosinakis, C, Okereke, C, Chean, C, Barlow, C, Tatar, C, Clancy, C, Forde, C, Sharpin, C, Mccarthy, C, Nestor, C, Warden, C, Ávila, C, Massaguer, C, Fang, C, Martins, C, Guerci, C, Mauriello, C, Holzmeister, C, Miller, C, Weber, C, Wiesinger, C, Kenington, C, Noel, C, Sue-Chue-Lam, C, Adumah, C, Neary, C, Sen, C, Fitzgerald, C, Ezeme, C, Nastos, C, Mesina, C, Bombardini, C, Torregrosa, C, Valdespino, C, Don, C, Wickramasinghe, D, Milanesi, D, Armijos, D, Asiimwe, D, Beswick, D, Clerc, D, Cox, D, Doherty, D, Martínez, D, Lechuga, D, Gero, D, Gil-Sala, D, Lindegger, D, Reim, D, Shaerf, D, Shmukler, D, Branzan, D, Filipescu, D, Rega, D, Bernardi, D, Bissacco, D, Fusario, D, Morezzi, D, Sabella, D, Zimak, D, Vinci, D, Sale, D, Khan, D, Thereska, D, Andreotti, D, Tartaglia, D, Abdulai, D, Mukherjee, D, Verdi, D, Idowu, D, John, D, Johnson, D, Moro-Valdezate, D, Naumann, D, Omar, D, Proud, D, Roberts, D, Guzmán, D, Watson, D, Bergkvist, D, Lumenta, D, Ferrari, D, Rizzo, D, Degarege, D, Castillo, D, Douglas, D, Wright, D, Nanjiani, D, Bratus, D, Altun, D, Sievers, D, Vaysburg, D, Katechia, D, Azize, D, Rodrigues, D, Pachajoa, D, Hayne, D, Mutter, D, Raimondo, D, Eskinazi, D, Sasia, D, Corallino, D, Muduly, D, Grewal, D, Hadzhiev, D, Peristeri, D, Pournaras, D, Raptis, D, Angelou, D, Haidopoulos, D, Magouliotis, D, Moris, D, Schizas, D, Symeonidis, D, Tsironis, D, Korkolis, D, Tatsis, D, Thekkinkattil, D, Bulian, D, Pandey, D, Vatansever, D, Parker, D, Wiedemann, D, Borselle, D, Pedini, D, Schweitzer, D, Venskutonis, D, Otokwala, J, Adamu, K, Pk, P, Garod, M, Ellafi, A, Zivkovic, D, Jelovac, D, Wijeysundera, D, Mcpherson, D, Ryan, É, Ugwu, E, Baidoo, E, Shaddad, E, Memişoğlu, E, Naranjo, E, Brodkin, E, Segalini, E, Viglietta, E, Hendriks, E, Bonci, E, Sá-Marta, E, Ortega, E, Gomez, E, Joviliano, E, Clune, E, Horwell, E, Mains, E, Vasarhelyi, E, Caruana, E, Nevins, E, Yenli, E, Baili, E, Lostoridis, E, Morgan, E, Shiban, E, Latif, E, Tampaki, E, Ezenwa, E, Irune, E, Borg, E, Eisa, E, Gialamas, E, Parvez, E, Theophilidou, E, Toma, E, Arnaoutoglou, E, Samadov, E, Kantor, E, Ulman, E, Colak, E, Cassinotti, E, Bannone, E, Sarjanoja, E, Yates, E, Vincent, E, Lun, E, Cerovac, E, Dif, E, Alkhalifa, E, Daketsey, E, Fayad, E, Sheikh, E, Pontecorvi, E, Cammarata, E, La Corte, E, Rausa, E, Odai, E, Guasch, E, Cano-Trigueros, E, Uldry, E, Ros, E, Matthews, E, Donmez, E, Giorgakis, E, Kapetanakis, E, Stamatakis, E, Bua, E, Schneck, E, Nachelleh, E, Ofori, E, Akin, E, Gönüllü, E, Kirkan, E, Çelik, E, Wong, E, Capozzi, E, Pinotti, E, Colás-Ruiz, E, González, E, Fekaj, E, Ohazurike, E, Kebede, E, Erginöz, E, Duran, E, Scott, E, Aytac, E, Albanese, E, Castro, E, Albayadi, E, Kriem, E, Siddig, E, Otify, E, El Tayeb, E, Hong, E, Saguil, E, Belzile, E, Tuyishime, E, Panieri, E, Martínez, E, Myriokefalitaki, E, Samara, E, Agbeno, E, Drozdov, E, Tokidis, E, Shah, F, Barra, F, Carbone, F, Ferreli, F, Marino, F, Martinelli, F, D'Acapito, F, Masciello, F, Bàmbina, F, Issa, F, Salameh, F, Kethy, F, Mahmood, F, Gareb, F, Idrees, F, Karimian, F, Ashraf, F, Haji, F, Inayat, F, Begum, F, Nabil, F, Rosa, F, Haider, F, Parray, F, Calculli, F, Ferracci, F, Saraceno, F, Coppola, F, Coccolini, F, Fusini, F, Migliorelli, F, Pecoraro, F, Alconchel, F, Coimbra, F, 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Prashanth, Salunke, Pravin, Shah, Pritik A, Punjabi, Prof Prakash P, Christodoulou, Prokopis, Hamdan, Qusai, Tawalbeh, Ra'fat, Gadelkareem, Rabea, Awad, Rabih, Callcut, Rachael, Clegg, Rachael, Choron, Rachel, Payne, Rachel, Gefen, Rachel, Costea, Radu, Drasovean, Radu, Mirica, Radu Mihail, Ravindra, Raevin, Fajardo, Rafael Torres, Nunes, Rafael Leite, Aspide, Raffaele, Lombardi, Raffaele, Vidya, Raghavan, Elboraei, Rahma, Saaid, Rahmah, Ghodke, Rahul, Gupta, Rahul, Sharma, Rahul Deo, Lunevicius, Raimundas, Kalayarasan, Raja, Mohan, Rajashekar, Singh, Rajdeep, Sivaprakasam, Rajesh, Seenivasagam, Rajkumar Kottayasamy, Rajendram, Rajkumar, Radulescu, Raluca Bievel, Goicea, Raluca, Seshadri, Ramakrishnan Ayloor, Sarı, Ramazan, Nataraja, Ramesh, Aslam, Ramisha, Abdelemam, Rania, Shrestha, Rashmit, Bharathan, Rasiah, Pellini, Raul, Guevara, Raul, Agarwal, Ravi, Vissapragada, Ravi, Alharmi, Rawan Arahman, Sayyed, Raza, Browning, Rebecca, Critchley, Rebecca, Mallick, Rebecca, Alarabi, Rehab, Beron, Reinaldo Isaacs, Függer, Reinhold, Othman, Rema, Saad, Rema, Amores, Remedios Revilla, Colombari, Renan Carlo, Radivojević, Renata Curic, Patrone, Renato, Novysedlák, René, Huatuco, René Manuel Palacios, Baertschiger, Reto, Liang, Rhea, Luckwell, Rhys, Escrevente, Ricardo, Rezende, Ricardo Fernandes, Cruz, Ricardo Pedrini, Lenzi, Riccardo, Rosati, Riccardo, Donovan, Richard, Egan, Richard, Morris, Richard, Page, Richard, Seglenieks, Richard, Unsworth, Richard, Wilkin, Richard, Skipworth, Richard Je, Davies, Richard Justin, Bezirci, Rifat, Talwar, Rishi, Azami, Rizwan, Bohmer, Rob, Crichton, Robert, Fruscio, Robert, Hooker, Robert, Jach, Robert, Parker, Robert, Pillerstorff, Robert, Sinnerton, Robert, Stabler, Robert, O'connell, Robert Michael, Ragozzino, Roberta, Tutino, Roberta, Angelico, Roberta, Cammarata, Roberto, Colasanti, Roberto, Macchiavello, Roberto, Peltrini, Roberto, Pirrello, Roberto, Vaschetti, Roberto, Pires, Robinson Esteves, Papalia, Rocco, Arrangoiz, Rodrigo, Hompes, Roel, Salah, Rokeya, Pinto, Romina, Flumignan, Ronald, Callan, Rory, Cuthbert, Rory, Dennis, Rory, Scaramuzzo, Rosa, Macías, Rosa Montero, Sánchez, Rosa, Ogu, Rosemary, Ramely, Rosnelifaizur, Sgarzani, Rossella, Ramli, Roszalina, Hillier, Roxane, Thumbadoo, Ruben, Ooi, Rucira, Abdus-Salam, Rukiyat, Masri, Ruqaya, Hodgson, Russell, Mathew, Ryan, Wade, Ryckie, D'archi, Sabatino, Khan, Sabina, Ngaserin, Sabrina, Kale, Sachin, Hassan, Sadiq, Merghani, Safa, Benamar, Safia, Muhammad, Sagir, Badran, Saif, Elsahli, Saifaleslam, Heta, Saimir, Hammouche, Salah, Baeesa, Saleh, Paiella, Salvatore, Eldeen, Samaher Taj Eldeen Hassan Taj, Arkani, Samara, Mittal, Samarth, Hirji, Sameer, Tebha, Sameer, Emile, Sameh, Dbouk, Samer, Bandyopadhyay, Samik Kumar, Muhammad, Saminu, Olori, Samson, Asirifi, Samuel Amoako, Hailu, Samuel, Ling, Samuel, Newman, Samuel, Ross, Samuel, Wanjara, Samuel, Kumar, Sandip, Seneviratne, Sanjeewa, Tamburello, Sara, Suarez, Sara Busto, Ingallinella, Sara, Irshaidat, Sara, Konswa, Sara, Mambrilla, Sara, Nasser, Sara, Parini, Sara, Pitoni, Sara, Ornaghi, Sara, Rodrigues, Sara Castanheira, Abdelmohsen, Sarah, Aitken, Sarah, Tian, Sarah, Badiani, Sarit, Ahmad, Sarwat, Swed, Sarya, Muthu, Sathish, Lakpriya, Sathya, Alzahrani, Saud, Mikalauskas, Saulius, Lasrado, Savita, Satoskar, Savni, Bawa, Sayesha, Altiner, Saygin, Garcia, Sean, Stevens, Sean, Demir, Sebahattin, Ken-Amoah, Sebastian, Tranca, Sebastian, Ziemann, Sebastian, Awad, Selmy, Atici, Semra Demirli, Subramaniam, Sentilnathan, Erel, Serap, Jiang, Serena, Efetov, Sergey, Efremov, Sergey, Katorkin, Sergey, Valladares, Sergio Chávez, Contreras, Sergio Marcos, Meriç, Serhat, Zenger, Serkan, Safi, Seyer, Leventoğlu, Sezai, Elsalhawy, Shady, Shaikh, Shafaque, Sheik, Shahila, Islam, Shahnoor, Shamim, Shahzad, Waqar, Shahzad Hussain, Ahmad, Shahzaib, Farid, Shahzaib, Seraj, Shaikh Sanjid, Sundarraju, Shalini, Karandikar, Sharad, Sambhwani, Sharan, Chopra, Sharat, Chowdhury, Sharfuddin, Laura, Sharon, Ahmed, Sharwany, Wason, Shaun, Tan, Shawn Jia Hwang, Fraser, Sheila, Williams, Shekinah, Ghozy, Sherief, Abdelmawgoud, Sherif, Shehata, Sherif, Sharma, Shilpa, Ahmed, Shima, Al-Touny, Shimaa A, Ramzanali, Shireen, Nah, Shireen Anne, Jansen, Shirley, Rajan, Shiv, Dindyal, Shiva, Amin, Shivang, Ahmad, Shoaib, Shoukrie, Shoukrie I M, Karar, Shoura, Patkar, Shraddha, Abdulsalam, Shuaib, Lin, Shuxun, Hegde, Siddhi, Fiorelli, Silvia, Quaresima, Silvia, Redondo, Silvia Villacé, Palmisano, Silvia, Ruggiero, Silvia, Balogun, Simon, Cais, Simon, Cole, Simon, Federer, Simon, Le Roux, Simon, Ippoliti, Simona, Meneghini, Simona, Viola, Simona, Manfredelli, Simone, Novello, Simone, Gananadha, Sivakumar, Mesli, Smain Nabil, Kale, Smruti, Tani, Sobhana Iftekhar, Malik, Sobia, Anastasiadou, Sofia, Boligo, Sofia, Esposito, Sofia, Valanci, Sofia, Xenaki, Sofia, Pejkova, Sofija, Bandyopadhyay, Soham, Trungu, Sokol, Basu, Somprakas, Alkhatib, Sondos, Pérez-Bertólez, Sonia, Flores, Sonia Lopez, Donoghue, Sophie, Lunca, Sorinel, Orsoo, Soyombo, Potamianos, Spyridon, Devarakonda, Sreekar, Suresh, Sreelakshmi, Croghan, Stefanie M, Turi, Stefano, Capella, Stefano, Lucchini, Stefano, Magnone, Stefano, Salizzoni, Stefano, Scabini, Stefano, Scaringi, Stefano, Cioffi, Stefano Piero Bernardo, Seyfried, Steffen, Degener, Stephan, Potten, Stephanie, Taha-Mehlitz, Stephanie, Ali, Stephen, Angamuthu, Stephen, Mcaleer, Stephen, Knight, Stephen Richard, White, Stuart, Mantziari, Styliani, Kykalos, Stylianos, Goh, Su Kah, Chowdhury, Subhadip Pal, Ibrahim, Sufyan, Elzwai, Suha, Bansal, Sujesh, Tripathy, Sujit, Amrayev, Sultan, Anwar, Sumadi Lukman, Banerjee, Sumit, Thakar, Sumit, Saeed, Summaya, Venkatappa, Sunil Kumar, Das, Sunit, Techapongsatorn, Suphakarn, Dube, Surya Kumar, Lee, Susan, González-Suárez, Susana, Henriques, Susana, Konjevoda, Suzana, Gisbertz, Suzanne, Bravo, Sybil Lizanne, Mannan, Syed, Bukhari, Syed Imran, Zafar, Syed Nabeel, Batista, Sylvia, Chin, Synn Lynn, Arif, Tahera, Lawal, Taiwo Akeem, Aktokmakyan, Talar Vartanoglu, Osborn, Tamara, Szakmany, Tamas, Sztipits, Tamás, Triantafyllou, Tania, Valadez, Tania Abigail Cueto, Singh, Tanveer, Khaliq, Tanwir, Patel, Tapan, Fadalla, Tarig, Jichi, Tarik, Sammour, Tarik, Al-Shaiji, Tariq, Naggs, Taryn, Barišić, Tatjana, Nikolouzakis, Taxiarchis, Bisgin, Tayfun, Perra, Teresa, Uprak, Tevfik Kıvılcım, Dagklis, Themistoklis, Liakakos, Theodore, Sidiropoulos, Theodoros, Adjeso, Theophilus Justus Kofi, Dölker, Theresa, Oung, Thida, Aherne, Thomas, Diehl, Thomas, Pinkney, Thomas, Raymond, Thomas, Rhomberg, Thomas, Schmitz-Rixen, Thomas, Madhuri, Thumuluru Kavitha, Lohmann, Tibor Karl, Yeoh, Tien, Zaimis, Tilemachos, Bright, Tim, Vilz, Tim O, Glowka, Tim R, Board, Timothy, Hardcastle, Timothy, Cohnert, Tina, Mahečić, Tina Tomić, William, Tinka George, Klatte, Tobias, Abbott, Tom, Watcyn-Jones, Tom, Mendes, Tome, Kulis, Tomislav, Sečan, Tomislav, Campagnaro, Tommaso, Frisoni, Tommaso, Simoncini, Tommaso, Violante, Tommaso, Safranovs, Toms Janis, Risteski, Toni, Pang, Tony, Akinyemi, Tosin, Yotsov, Tsanko, Laeke, Tsegazeab, Kochiyama, Tsukasa, Sholadoye, Tunde T, Alekberli, Tural, Ezomike, Uchechukwu, Giustizieri, Ugo, Grossi, Ugo, Köksoy, Ülkü Ceren, Bork, Ulrich, Kisser, Ulrich, Ronellenfitsch, Ulrich, Saeed, Umar, Bracale, Umberto, Jayarajah, Umesh, Rauf, Umme Habiba Abdul, Bumbasirevic, Uros, Ferrer, Ursula María Jariod, Ahmed, Usama, Bello, Usman Mohammed, Jogiat, Uzair, Sadia, Uzma, Galandarov, Vagif, Narayanan, Vairavan, Calu, Valentin, Bianchi, Valentina, Ciniero, Valeria, Tonini, Valeria, Silvestri, Vania, Vijay, Vardhini, Dewan, Varun, Lohsiriwat, Varut, Thuduvage, Vasanthika, Mousafeiris, Vasileios, Dragisic, Vedran, Sasireka, Veerasamy, Santric, Veljko, Kusuma, Venkata Ramana Murthy, Kolli, Venkata Satish, Alonso, Veronica, De Simone, Veronica, Picotti, Veronica, Martínez, Verónica Martín, Panduro-Correa, Vicky, Kakotkin, Victor, Angulo, Victor Pinto, Turrado-Rodriguez, Victor, Krishnamoorthy, Vijay, Ban, Vin Shen, Shah, Vinay, Maiola, Vincenza, Giordano, Vincenzo, La Vaccara, Vincenzo, Lizzi, Vincenzo, Papagni, Vincenzo, Schiavone, Vincenzo, Satchithanantham, Vinojan, Garcia-Virto, Virginia, Jimenez, Virginia, Kumar, Vishal, Shelat, Vishal, Bhat, Vivek, Sodhai, Vivek, Graziadei, Vivien, Kutuzov, Vladislav, Stoyanov, Vladislav, Oktseloglou, Vlasios, Flis, Vojko, Elhassan, Wael Atif Fadl, Yang, Wah, Soon, Wai Cheong, Tashkandi, Wail, Al-Khyatt, Waleed, Mabood, Waleed, Bijou, Walid, Wijenayake, Wasantha, D, Wasim, Krawczyk, Wiktor, Atkins, William, Bolton, William, White, William, Ceelen, Wim, Vagena, Xanthoula, Gozal, Yaacov, Baba, Yabasin Iddrisu, Subramani, Yamini, Jansen, Yanina, Mittal, Yash, Kara, Yasi̇n, Zwain, Yasir, Noureldin, Yasser, Alawneh, Yazan, Aydin, Yener, Lam, Yick Ho, Tang, Yita, Lim, Yizhe, Dean, Yomna, Tanas, Yousef, Su, Yu-Xiong, Fujimoto, Yuki, Altinel, Yuksel, Frolova, Yulia, Oshodi, Yusuf, Fadel, Zahir T, Zahid, Zahra, Elahi, Zain, Djama, Zakarya, Zaheen, Zakia, Jawad, Zaynab, Demetrashvili, Zaza, Gebremeskel, Zersenay, Gudisa, Zewdie, Alyami, Ziyad, Garoufalia, Zoe, Li, Zoe, Zimak, Zoran, Radin, Zorana, and Balogh, Zsolt J
- Abstract
Background: Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods: This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was coprioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low-middle-income countries. Results: In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of 'single-use' consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low-middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion: This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high- and low-middle-income countries.
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- 2023
174. Does political extremity harm the ability to identify online information validity? Testing the impact of polarisation through online experiments.
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Cheuk Hang (Allen) Au, Kevin K. W. Ho 0001, and Dickson K. W. Chiu
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- 2021
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175. Interpretation of Post-operative Distal Humerus Radiographs After Internal Fixation: Prediction of Later Loss of Fixation
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Spoor, A.B., Chauhan, A., Wahegaonkar, A.L., Shafritz, A.B., Garcia G, A.E., Miller, A.N., Barquet, A., Kristan, A., Apard, T., Armstrong, A.D., Berner, A., Jubel, A., Kreis, B.E., Babis, C.G., Sutker, B., Sears, B.W., Nolan, B.M., Crist, B.D., Cross, B.J., Wills, B.P., Barreto, C.J., Ekholm, C., Swigart, C., Oliveira Miranda, C.D., Manke, C., Zalavras, C., Goldfarb, C.A., Cassidy, C., Walsh, C.J., Jones, C.M., Garnavos, C., Young, C., Moreno-Serrano, C.L., Lomita, C., Klostermann, C., van Deurzen, D.F., Rikli, D.A., Polatsch, D., Beingessner, D., Drosdowech, D., Eygendaal, D., Patel, M., Brilej, D., Walbeehm, E.T., Ballas, E.G., Ibrahim, E.F., Melamed, E., Stojkovska Pemovska, E., Hofmeister, E., Hammerberg, E.M., Kaplan, F.T., Suarez, F., Fernandes, C.H., Lopez-Gonzalez, F., Walter, F.L., Frihagen, F., Kraan, G.A., Kontakis, G., Dyer, G.S., Kohut, G., Panagopoulos, G., Hernandez, G.R., Porcellini, G., Bayne, G.J., Merrell, G., DeSilva, G., Della Rocca, G.J., Bamberger, H.B., Broekhuyse, H., Durchholz, H., Kodde, I.F., McGraw, I., Harris, I., Pountos, I., Wiater, J.M., Choueka, J., Kazanjian, J.E., Gillespie, J.A., Biert, J., Fanuele, J.C., Johnson, J.W., Greenberg, J.A., Abrams, J., Hall, J., Fischer, J., Scheer, J.H., Itamura, J., Capo, J.T., Braman, J., Rubio, J., Ortiz, J.A., Filho, J.E., Nolla, J., Abboud, J., Conflitti, J.M., Abzug, J.M., Patiño, J.M., Rodríguez Roiz, J.M., Adams, J., Bishop, J., Kabir, K., Chivers, K., Prommersberger, K., Egol, K., Rumball, K.M., Dickson, K., Jeray, K., Poelhekke, L.M., Campinhos, L.A., Mica, L., Borris, L.C., Adolfsson, L.E., Schulte, L.M., Elmans, L., Lane, L.B., Paz, L., Taitsman, L., Guenter, L., Austin, L.S., Waseem, M., Palmer, M.J., Abdel-Ghany, M.I., Richard, M.J., Rizzo, M., Pirpiris, M., Di Micoli, M., Bonczar, M., Loebenberg, M.I., Richardson, M., Mormino, M., Menon, M., Soong, M., Wood, M.M., Meylaerts, S.A., Darowish, M., Nancollas, M., Prayson, M., Grafe, M.W., Kessler, M.W., Kaminaris, M.D., Pirela-Cruz, M.A., Mckee, M., Merchant, M., Tyllianakis, M., Shafi, M., Powell, A.J., Shortt, N.L., Felipe, N.E., Parnes, N., Bijlani, N., Elias, N., Akabudike, N.M., Rossiter, N., Lasanianos, N.G., Kanakaris, N.K., Brink, O., van Eerten, P.V., Paladini, P., Martineau, P.A., Appleton, P., Levin, P., Althausen, P., Evans, P.J., Jebson, P., Krause, P., Schandelmaier, P., Peters, A., Dantuluri, P., Blazar, P., Andreas, P., Inna, P., Quell, M., Ramli, R.M., de Bedout, R., Ranade, A.B., Ashish, S., Smith, R.M., Babst, R.H., Omid, R., Buckley, R., Jenkinson, R., Gilbert, R.S., Page, R.S., Papandrea, R., Zura, R.D., Gray, R.L, Wagenmakers, R., Pesantez, R., van Riet, R., Calfee, R.P., van Helden, S.H., Bouaicha, S., Kakar, S., Kaplan, S., Scott, F.D., Kaar, S.G., Mitchell, S., Rowinski, S., Dodds, S., Kennedy, S.A., Beldner, S., Schepers, T., Guitton, T.G., Gosens, T., Baxamusa, T., Taleb, C., Tosounidis, T., Wyrick, T., Begue, T., DeCoster, T., Dienstknecht, T., Varecka, T.F., Mittlmeier, T., Fischer, T.J., Chesser, T., Omara, T., Bafus, T., Siff, T., Havlicek, T., Sabesan, V.J., Nikolaou, V.S., Philippe, V., Giordano, V., Vochteloo, A.J., Batson, W.A., Hammert, W.C., Satora, W., Weil, Y., Ruch, D., Marsh, L., Swiontkowski, M., Hurwit, S., Claessen, Femke M.A.P., Stoop, Nicky, Doornberg, Job N., Guitton, Thierry G., van den Bekerom, Michel P.J., and Ring, David
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- 2016
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176. Alert-Based Hiker Status System
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Cheung, Bob H. L., Chiu, Dickson K. W., Hu, Haiyang, Zhuang, Yi, Hu, Hua, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Chiu, Dickson K. W., editor, Bellatreche, Ladjel, editor, Sasaki, Hideyasu, editor, Leung, Ho-fung, editor, Cheung, Shing-Chi, editor, Hu, Haiyang, editor, and Shao, Jie, editor
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- 2011
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177. Forming Buyer Coalition Schemes with Ontologies in E-Marketplaces
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Tansiri, Panida, Boongasame, Laor, Chiu, Dickson K. W., Leung, Ho-fung, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Chiu, Dickson K. W., editor, Bellatreche, Ladjel, editor, Sasaki, Hideyasu, editor, Leung, Ho-fung, editor, Cheung, Shing-Chi, editor, Hu, Haiyang, editor, and Shao, Jie, editor
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- 2011
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178. Digital Protection of Traditional Villages for Sustainable Heritage Tourism
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Yixin Zuo, Apple Hiu Ching Lam, and Dickson K. W. Chiu
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Similar to the plight of other traditional villages, Qiqiao Ancient Village is declining under the impact of urbanization and the devastation of modernization. Qiqiao is chosen as the case study as it is the second-largest settlement of Confucian descendants, with a rich cultural heritage. In recent years, the local government has taken measures such as cultural heritage restoration and tourism development to protect their traditional village, but the result is unsatisfactory. By field observation and interviewing three groups of stakeholders, the protection project manager, villagers, and tourists, this research analyzed the current situation of Qiqiao and digital protection applications for its heritage tourism to reveal some recent problems. Considering the local economic and technological conditions, this research suggested digital solutions for similar traditional villages in protection projects for sustainable heritage tourism.
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- 2023
179. The Role of Social Media as Aids for Accounting Education and Knowledge Sharing: Learning Effectiveness and Knowledge Management Perspectives in Mainland China
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Ziqing Xie, Dickson K. W. Chiu, and Kevin K. W. Ho
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Economics and Econometrics - Published
- 2023
180. Adult Learners' Perceptions of Online Language English Learning in China
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Yauyau Liu, Junru Lei, Dickson K. W. Chiu, and Zerong Xie
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Ubiquitous internet access over the past decade has provided opportunities to learn languages online. However, most of the online language learning studies focus on higher education perspectives, while the related learner contribution on the commercial platform has yet to be explored. This study investigates Chinese adult learners' perception of learning English on the online course platform through a qualitative research approach. The semi-structured interview questions comprise five parts: learners' background, learning situation (frequency and time spent), assessment of instructors and teaching materials, preference of delivery model (with traditional classroom compared), and their attainment from the online learning platform. These findings can help platform operators better understand the perception of Chinese amateur adult learners and fill the literature gap to provide educators with insights and references on current research agendas.
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- 2023
181. Social Media Analytics for Non-Governmental Organizations
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Shanghao Li, Dickson K. W. Chiu, Eleanna Kafeza, and Kevin K. W. Ho
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Social media has provided promotion and communication channels for organizations to reach their target audience efficiently and cost-effectively. Despite wide social media analytics applications in different areas, scant studies focus on NGOs. This research analyzes the use of social media by a well-known NGO, the Hong Kong Generation Next Arts Limited (HKGNA), on its presence and user sentiment on Twitter and Facebook to evaluate the brand image, engagement conditions, and promotion effectiveness. These findings showed a low usage frequency of their Twitter channel. Despite the overall positive sentiment, there are some deviations from their charity mission. Yet, their Facebook channel serves well for publicity, and the interaction is relatively active. Thus, more measures are necessary to improve the digital relationship between HKGNA and its targeted audience. Moreover, this methodology for data analysis serves as an example for other NGOs to improve their communication.
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- 2023
182. How Important Is It to Be Beautiful?
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Linyan Li, Dickson K. W. Chiu, and Kevin K. W. Ho
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To explore the effect of beauty on income in the Chinese labor market and its impact, this chapter uses the Chinese family panel studies (CFPS2018) open-access data to conduct a regression to explore the correlation of “beauty premium” in China's labor market. The authors use gender, age groups, educational levels, and individual characteristics such as height and body mass index (BMI) as independent variables. The authors show that appearance directly affects income through cognitive and non-cognitive abilities.
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- 2023
183. COVID-19 Fake News on Twitter
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Yuk Ho Lu, Chin Fung Chiu, Dickson K. W. Chiu, and Kevin K. W. Ho
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There have been increasing concerns about spreading COVID-19 fake news and misinformation from social media sites (SNSs) such as Facebook and Twitter, as they facilitate connection and communication on a large scale. Because of the massive amount of information transmitted through SNSs, manual verification of such information is impossible, prompting the development and implementation of automated methods for fake news identification, aka automatic fact-checking. Fake news creators employ a variety of aesthetic tactics to increase their success rates, one of which is to excite the readers' sentiment. Therefore, this research uses sentiment analysis to analyze whether sentimental and emotional words in SNSs content could explain the situations between the spreading of true and fake news. In this way, governments and platform providers could take action to help the general public identify fake news and misinformation and curb them at their source. This research also offers insights to the public on the importance and impacts of sentiment words in SNS content.
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- 2023
184. Analyzing the Hong Kong Philharmonic Orchestra's Facebook Community Engagement With the Honeycomb Model
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Suming Deng and Dickson K. W. Chiu
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Online social media has gradually become a trend. Many companies, brands, and organizations attach great importance to social media for community engagement, aiming for marketing, reputation, etc. This study analyzes the effectiveness of the Hong Kong Philharmonic's (HKPhil) Facebook social media with the seven aspects of the honeycomb model. Through quantitative and qualitative analysis of the problems encountered, the authors found that the video posts on Facebook are more active than posts without videos, and the comments are generally positive. HKPhil's engagement on Facebook is good, with about 1.9% average participation rate. This research help understand whether Facebook engagement is effective and can reflect the audience's expectations, suggesting improvement strategies of social media to attract and engage more audiences and discover potential users.
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- 2023
185. Application of the AIDA Model in Social Media Promotion and Community Engagement for Small Cultural Organizations
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Xinyu Jiang, Dickson K. W. Chiu, and Cheuk Ting Chan
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This study explores the AIDA model (attention, interest, desire, action) for social media promotion and community engagement for small cultural organizations. The internal situation and external environment were first analyzed with the SWOT analysis augmented with PEST analysis. Then, the authors show how the AIDA model can be used in social media marketing to improve public awareness, engagement, and thus participation in the organization's activities. As the global economy is getting linked to the internet and social media, utilizing the AIDA model for small cultural organizations contributes to effective information dissemination and increases interactions in the targeted community. The rise of social media has also triggered smaller organizations to consider how to survive under dynamic changes and fulfill their mission through better community engagement.
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- 2023
186. Digital Transformation of Museum Conservation Practices
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Athena Kin-kam Wong and Dickson K. W. Chiu
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Museums offer education and enjoyment to the public through exhibitions and public programs, but what happens behind the museums can be a mystery. Thus, this study uses the visit to conservation laboratories as a behind-the-scenes tour to illustrate the conservation practices at public museums in Hong Kong and thus potential digital transformation. The value chain analysis was used to systematically exanime the environment and operations of the conservation process in depth, focusing on museum education and extension activities. Lacking human resources, safety, and access constraints often limited the capacity to offer such tours. Some suggestions on digital transformation using contemporary information and communication technologies (ICTs) were proposed for engagement improvement and expanding the audience. Scant studies research how such conservation tours facilitate learning and engagement with visitors or analyze museum operations with value-chain analysis for digital transformation, especially in East Asia.
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- 2023
187. Personalized and efficient social image transmission scheme in mobile wireless network.
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Yi Zhuang 0001, Nan Jiang 0002, Qing Li 0001, Dickson K. W. Chiu, and Hua Hu
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- 2016
- Full Text
- View/download PDF
188. Engaging Asian students through game mechanics: Findings from two experiment studies.
- Author
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Khe Foon Hew, Biyun Huang, Samuel Kai-Wah Chu, and Dickson K. W. Chiu
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- 2016
- Full Text
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189. Enterprise Content Management System for IT Training.
- Author
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Kelvin Chung Tak Tang, Dickson K. W. Chiu, Agnes Wai Yan Chan, and Jeff K. T. Tang
- Published
- 2016
- Full Text
- View/download PDF
190. OPAC Usability Problems of Archives: A Case Study of the Hong Kong Film Archive.
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Ada Chi Wai Chung and Dickson K. W. Chiu
- Published
- 2016
- Full Text
- View/download PDF
191. Exploring the Use of Social Media to Advance K12 Science Education.
- Author
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Jinjin Ma, Dickson K. W. Chiu, and Jeff K. T. Tang
- Published
- 2016
- Full Text
- View/download PDF
192. Applications of Social Media in Academic Library Services: A Case of the Hong Kong Polytechnic University Library.
- Author
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Elaine Wei San Kong, Dickson K. W. Chiu, and Kevin K. W. Ho 0001
- Published
- 2016
- Full Text
- View/download PDF
193. Use of smartphones by art and design students for accessing library services and learning.
- Author
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Patrick Lo, Allan Cho, Man-hon Leung, Dickson K. W. Chiu, Eddie H. T. Ko, and Kevin K. W. Ho 0001
- Published
- 2016
- Full Text
- View/download PDF
194. A pre-evolutionary advisor list generation strategy for robust defensing reputation attacks.
- Author
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Shu-Juan Ji, Haiyan Ma, Shu-lian Zhang, Ho-fung Leung, Dickson K. W. Chiu, Chun-jin Zhang, and Xianwen Fang
- Published
- 2016
- Full Text
- View/download PDF
195. A Personalized Travel System Based on Crowdsourcing Model.
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Yi Zhuang 0001, Fei Zhuge, Dickson K. W. Chiu, Chunhua Ju, and Bo Jiang
- Published
- 2014
- Full Text
- View/download PDF
196. A Personalized Travel System Based on Crowdsourcing Model
- Author
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Zhuang, Yi, Zhuge, Fei, Chiu, Dickson K. W., Ju, Chunhua, Jiang, Bo, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, Series editor, Tanaka, Yuzuru, Series editor, Wahlster, Wolfgang, Series editor, Siekmann, Jörg, Series editor, Luo, Xudong, editor, Yu, Jeffrey Xu, editor, and Li, Zhi, editor
- Published
- 2014
- Full Text
- View/download PDF
197. Automating Tendering Processes with Web Services: A Case Study on Building Construction Tendering in Hong Kong
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Chiu, Dickson K. W., NG, Nick L. L., Lai, Sau Chan, Farwick, Matthias, Hung, Patrick C. K., Bouguettaya, Athman, editor, Sheng, Quan Z., editor, and Daniel, Florian, editor
- Published
- 2014
- Full Text
- View/download PDF
198. Patrons’ Satisfaction with Self-Service Public Libraries: A Demographic Study
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Yihong Zhang, Dickson K. W. Chiu, Tianji Jiang, and Kevin K. W. Ho
- Subjects
Library and Information Sciences - Published
- 2022
199. Operation management of academic libraries in Hong Kong under COVID-19
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Dickson K. W. Chiu, Ernest Tak Hei Lam, and Pui Yik Yu
- Subjects
Library and Information Sciences ,Information Systems - Abstract
PurposeThis research studies the influence of the COVID-19 pandemic on the operation management of Hong Kong academic libraries for understanding the difficulties and challenges for librarians to adapt to the special arrangements during the pandemic.Design/methodology/approachQualitative semi-structured interviews were conducted with librarians in major universities and higher education institutions of Hong Kong. Participants were interviewed either in the face-to-face format or text-based format.FindingsParticipants provided a broad scope about the actual library management and operation changes during the COVID-19. According to the respondents, the most challenging problem for librarians during COVID-19 was to strike a balance between concerns of library staff and users. While they described how these arrangements and changes affected the service quality of academic libraries from different perspectives, the pandemic situation also brought some opportunities, such as pushing the digitalization of all collections and using online resources for future development. A hybrid model for library service would be more common in the future with more demands toward online resources and digital collection, in which academic libraries should be prepared after the pandemic.Originality/valueThis paper provided broad insights into library management and the future development of academic libraries for the post-COVID-19 period. There are scant studies of this topic, especially in an Asian metropolis context with dense population, small campus and limited library physical spaces.
- Published
- 2022
200. A Blockchain Model for Word-Learning Systems.
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Jiemin Zhong, Haoran Xie 0001, Di Zou, and Dickson K. W. Chiu
- Published
- 2018
- Full Text
- View/download PDF
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