Author: "Abdelrahman, Mahmoud" / Publication Type: Electronic Resources - Searchworks@Jio Institute Digital Library Search Results

24 results on '"Abdelrahman, Mahmoud"'

1. Set-based design application on dates harvesting machine

Author: Khandelwal, Priyansh, AL-Ashaab, Ahmed, Oad, Nirav Manishkumar, Kumar Masetty, Venkata Surendra, Yan, Pei, Abdelrahman, Mahmoud, Alkhateeb, Abdullatif Ali, Khandelwal, Priyansh, AL-Ashaab, Ahmed, Oad, Nirav Manishkumar, Kumar Masetty, Venkata Surendra, Yan, Pei, Abdelrahman, Mahmoud, and Alkhateeb, Abdullatif Ali
Abstract: This paper explores the application of Set-based Design (SBD) in the design of a dates harvesting machine. Dates are a popular fruit with significant economic importance, especially in Saudi Arabia. However, the process of harvesting them is highly labour-intensive, and there is a need for an automated solution to improve efficiency and reduce costs. The study begins with a comprehensive review of the literature on other fruit-harvesting machines. The research then proposes an architectural design of a dates harvesting machine based on the understanding of the typical fruit harvesting machines. The dates harvesting machine design proposed in this study consists of several sub-assemblies. Each sub-assembly is designed as a set of alternatives, with different configurations of components, mechanisms and materials. The understanding of the customer requirements of typical date farms helped to identify the list of values that are essential to design the dates harvesting machine. These values were filtered and analysed using an analytical hierarchy process to define three key value attributes of ‘design performance’, ‘safety’ and ‘cost’. The SBD approach helped to evaluate all the possible combinations of subsystems to identify the optimal solution that meets the customer's requirements and constraints. The SBD methodology resulted in the generation of 576 alternative design configurations which were aggressively narrowed down to 48 design solutions and then into 4 solutions where the final optimized design was selected using the PUGH matrix. The narrowing down is based on the combination of trade-off curves, solution performance and the identified key-value attributes. The proposed dates harvesting machine design shows great promise in improving the efficiency and sustainability of harvesting dates, and it can be adapted for use in agricultural applications.
Published: 2024

2. Investigating the impact of food tourism vlogger entrepreneurs' language characteristics on audiences' attitude and behaviours

Author: Hutchinson, Wei, Djafarova, Elmira, Liu, Shaofeng, Abdelrahman, Mahmoud, Hutchinson, Wei, Djafarova, Elmira, Liu, Shaofeng, and Abdelrahman, Mahmoud
Abstract: Purpose Despite entrepreneurial linguistic style gaining increased attention in entrepreneurship studies, the field for digital vlogger entrepreneurs still lacks a comprehensive understanding of how linguistic patterns enhance audiences attitude and behaviour. This study aims to propose a conceptual model of “language-mental imagery-attitude-behaviour model” that leads to the examination of rich sensory language style of food travel vlogger entrepreneurs and its persuasive effect on audiences' attitude and behavioural intention. Design/methodology/approach The present study utilises a stimulus-based survey method that involves a sensory-rich vlog script extracted from a high social media engagement authentic vlog. Data are collected through an online questionnaire distributed to a sample of 355 participants via the Amazon Turk mechanism. The study employs confirmatory factor analysis and structural equation modelling to test the proposed hypotheses, with the aim of contributing to the advancement of theories of embodied cognition in entrepreneurial language by examining the attitudes and behaviours of audiences exposed to sensory-rich language. The findings of this research provide valuable insights into the effects of sensory-rich language on audience responses and can inform future research on the role of embodied cognition in entrepreneurial communication. Findings The findings demonstrate that vlogger entrepreneurial sensory-rich linguistic communication style positively influence audiences' attitude, behavioural involvement with food and intention to taste. Visit intention will be enhanced via the mediating effects of attitude, behavioural involvement with food and intention to taste. Practical implications This research highlights the significance of sensory-rich language for vlogger entrepreneurs in entrepreneurial communication, digital storytelling and for destination marketing enterprises in creating a digital sensory engagement marketing strategy. Origina
Published: 2024

3. The Effect of Using the SQ4R Strategy on Tenth Graders' English Reading Comprehension

Author: Al-Alwan, Shoma Hussein, Abdelrahman, Mahmoud Sulaiman Bani, Al-Alwan, Shoma Hussein, and Abdelrahman, Mahmoud Sulaiman Bani
Abstract: This study investigated the effect of using the SQ4R strategy on tenth graders' English reading comprehension during the academic year 2022/2023. The study is quantitative and employs a quasi-experimental design. The school was purposefully selected on convenient grounds. Fifty EFL female students participated in the study at Um Jouzah Secondary School for Girls and were distributed into 25 students for the experimental group and 25 students for the control group, assigned by draw. To achieve the aim of the study, the instrument was used: pre-post-tests on reading comprehension in both groups. All the text topics were chosen from the Action Pack10 textbook for the first semester, the reading comprehension test was developed, content validated, and piloted as appropriate. The computed reliability for internal consistency for the comprehension test was 0.82. The results showed the positivity of the SQ4R strategy on improving reading comprehension for the sample of the study, the study found a significant difference between the experimental and control groups, with the experimental group scoring 15.36 and the control group scoring 11.08. The researcher recommended that further research to integrate technology into SQ4R to enhance engagement and accessibility to learners, as she recommended that regular curriculum updates, and fostering a collaborative environment are crucial for successful implementation, so the Ministry of Education should incorporate SQ4R into the curriculum to promote collaborative learning. Keywords: Reading comprehension, the SQ4R strategy DOI: 10.7176/JEP/15-1-06 Publication date: January 31st 2024
Published: 2024

4. Knowledge sharing by using knowledge management systems to support decision-making processes in multinational corporations

Author: Abdelrahman, Mahmoud Mohamed, Kawalek, Peter, and Papamichail, Nadia
Subjects: 658.4, Knowledge Management Systems, Knowledge Sharing, Decision Making Processes, Multinational Corporations
Abstract: In the current global market, knowledge is viewed as a source of competitive advantage. In particular, it has become a crucial factor for Multinational Corporations (MNCs). MNCs are searching for appropriate ways to manage and use their knowledge effectively and efficiently. Their challenge is how to facilitate the sharing of knowledge and maximise the value from all available knowledge assets. In response to this, MNCs use Knowledge Management Systems (KMSs) for sharing, utilising and integrating knowledge as well as supporting Decision-making Processes. Therefore, the primary concern of this research is to examine knowledge sharing by using KMSs to support decision-making processes in MNCs. The study extends the existing literature on KMSs, knowledge sharing, and decision-making processes by proposing and empirically testing a new conceptual model in MNCs. For this purpose, a mixed-methods approach has been designed, combining semi-structured interviews and a questionnaire to collect data from MNCs participants from Europe and the Middle-East. In the first phase of this study, 42 semi-structured interviews were conducted with participants from 32 different MNCs in 12 countries to explore the main factors affecting knowledge sharing by using KMSs to support decision-making processes. A conceptual framework comprising four core dimensions was developed using thematic analysis. In the first dimension, Knowledge Management Systems, three themes were identified: technology acceptance, communication tools, and KMSs usage. In the second dimension, Knowledge Sharing Practices, the three themes were: content, willingness to share, and external factors. In Culture, the themes were: national culture, organisational culture, and information technology culture. In the fourth dimension, Decision-making Processes, extent of analysis and speed of decision-making were identified. This study went a step further than merely identifying the factors that affect KS. A conceptual model and twelve hypotheses were developed based on the findings of the thematic analysis, literature review, and the research objectives. The new model comprises seven constructs: organisational culture, perceived ease of use and perceived usefulness of using KMSs, KMSs usage, knowledge sharing, decision-making processes and organisational effectiveness. A survey was conducted to collect data on participants’ perceptions to test the model. Responses from 221 KMSs users were analysed. Structural equation modelling was conducted to test the hypothesised relationships. The results revealed that all hypotheses are statistically significant. KMSs usage and organisational culture have a positive and significant impact on knowledge sharing, with organisational culture having the largest impact. KMSs usage, knowledge sharing and organisational culture have a significant effect on decision-making processes; knowledge sharing has the biggest impact, followed by KMSs usage, and a marginally positive impact of organisational culture. Moreover, perceived ease of use has a strong and positive significant impact on the perceived usefulness of KMSs. Perceived usefulness, perceived ease of use, and organisational culture have a positive and significant effect on KMSs usage, with organisational culture having the largest impact. Finally, organisational culture, decision-making processes and perceived usefulness have a positive and significant impact on organisational effectiveness, but decision-making processes have the biggest impact. This study has practical implications for different stakeholders in MNCs, including managers, decision makers, KMSs designers, IT specialists, and consultants, in linking KMSs usage and knowledge sharing with decision-making processes and organisational effectiveness, and by focusing on organisational culture in knowledge management.
Published: 2013

5. Control-style ambidexterity and information systems project performance: an expanded view of control activities

Author: Syed, Tahir Abbas, Wiener, Martin, Mehmood, Fahad, Abdelrahman, Mahmoud, Syed, Tahir Abbas, Wiener, Martin, Mehmood, Fahad, and Abdelrahman, Mahmoud
Abstract: Information systems (IS) projects represent key building blocks of large-scale digital transformation and innovation initiatives. As a result, IS projects have become increasingly ambitious in terms of both goals and scale, making it even more challenging for managers to exercise control over such projects. While prior research focused primarily on the direct and interactive effects of formal and informal control modes on IS project performance, recent research directs attention to the importance of considering project managers’ control styles (i.e., how managers interact with controlees to enact controls). Corresponding studies also indicate that “either/or” control approaches–as opposed to “both/and” approaches–are no longer viable in today’s complex environment. As such, our study draws on an ambidexterity perspective to theoretically develop and empirically test the direct and interactive effects of control-style ambidexterity on IS project performance. Using matched-pair data from 146 IS projects (from 146 high-tech firms), we find that control-style ambidexterity improves project performance–directly and in combination with both formal and informal control. The study results contribute novel insights regarding the effective control of IS projects in the digital era and help explain mixed findings in prior literature, thereby facilitating continued theory development in the research area.
Published: 2023

6. The Impact of Using RAFT Strategy on Enhancing Creative Writing Skills of EFL Ninth Grade Students and Their Attitudes Towards It

Author: AL Zaidaneen, Bothaina Faisal, Abdelrahman, Mahmoud Sulaiman Bani, AL Zaidaneen, Bothaina Faisal, and Abdelrahman, Mahmoud Sulaiman Bani
Abstract: The study aimed to examine the impact of using RAFT strategy in enhancing creative writing skills of EFL ninth grade students and their attitudes towards it, in the first semester of the academic year 2022/2023.The sample of the study consisted of (60) EFL female ninth grade students attributed into two groups, one was experimental, and the other was control group. A pre post creative writing test was applied to examine the impact of the strategy, and creative writing attitudes scale was used to identify the students’ attitudes towards creative writing. validity and reliability of the instruments were verified. The results indicated that RAFT strategy is effective in enhancing the creative writing skills of EFL ninth grade students. It also showed that RAFT strategy is effective in enhancing students’ attitudes towards creative writing. in light of the study results, the study recommends Including English language teacher book with instructional strategies of teaching creativity, and guide the teacher to use it effectively, and to include more writing activities in the English language curricula in order to enhance the student’s achievement level in writing proficiency. Keywords: RAFT strategy, creative writing, attitudes DOI: 10.7176/JEP/14-33-01 Publication date: November 30th 2023
Published: 2023

7. Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Author: Adisa, Adewale, Bahrami-Hessari, Michael, Bhangu, Aneel, George, Christina, Ghosh, Dhruv, Glasbey, Jame, Haque, Parvez, Ingabire, J C Allen, Kamarajah, Sivesh Kathir, Kudrna, Laura, Ledda, Virginia, Li, Elizabeth, Lillywhite, Robert, Mittal, Rohin, Nepogodiev, Dmitri, Ntirenganya, Faustin, Picciochi, Maria, Simões, Joana Filipa Ferreira, Booth, L, Elliot, R, Kennerton, A S, Pettigrove, K L, Pinney, L, Richard, H, Tottman, R, Wheatstone, P, Wolfenden, John W D, Smith, Jenovia Amisti, Sayed, A Emad, Goswami, Aakansha Giri, Malik, Aamer, Mclean, Aaron Lawson, Hassan, Abba, Nazimi, Abd Jabar, Aladna, Abdallah, Abdelgawad, Abdalrahman, Saed, Abdel, Abdelmageed, Abdelfatah, Ghannam, Abdelilah, Taha, Abdelrahman Mahmoud Ahmed Abdelsamad, Alvi, Abdul, Ismail, Abdulaziz, Adesunkanmi, Abdulhafiz, Ebrahim, Abdulla, Al-Mallah, Abdullah, Alqallaf, Abdullah, Durrani, Abdullah, Gabr, Abdullah, Kirfi, Abdullahi Musa, Altaf, Abdulmalik, Almutairi, Abdulmjeed, Sabbagh, Abdulrahman J, Ajiya, Abdulrazak, Haddud, Abdurrahman, Alnsour, Abed Alfattah Mahmoud, Singh, Abhinav, Mittal, Abhishek, Semple, Abigail, Adeniran, Abiodun, Negussie, Abraham, Oladimeji, Abraham, Muhammad, Abubakar Bala, Yassin, Abubaker, Gungor, Abuzer, Tarsitano, Achille, Soibiharry, Adaiah, Dyas, Adam, Frankel, Adam, Peckham-Cooper, Adam, Truss, Adam, Issaka, Adamu, Ads, Adel Mohamed, Aderogba, Adeleke Akeem, Adeyeye, Ademola, Ademuyiwa, Adesoji, Sleem, Adham, Papa, Adrian, Cordova, Adriana, Appiah-Kubi, Adu, Meead, Adullah, Nacion, Aeris Jane D, Michael, Afieharo, Forneris, Agustin Albani, Duro, Agustin, Gonzalez, Agustin Rodriguez, Altouny, Ahmad, Ghazal, Ahmad, Khalifa, Ahmad, Ozair, Ahmad, Quzli, Ahmad, Haddad, Ahmad, Othman, Ahmad Faidzal, Yahaya, Ahmad Shuib, Elsherbiny, Ahmed, Nazer, Ahmed, Hammad, Ahmed Tarek, Abu-Zaid, Ahmed, Al-Nusairi, Ahmed, Azab, Ahmed, Elagili, Ahmed, Elkazaz, Ahmed, Kedwany, Ahmed, Nuhu, Ahmed Mohammed, Sakr, Ahmed, Shehta, Ahmed, Shirazi, Ahmed, Mohamed, Ahmed Mohamed Ibrahim, Sherif, Ahmed Elshawadfy, Awad, Ahmed K, Abbas, Ahmed M, Abdelrahman, Ahmed Saber, Ammar, Ahmed Siddique, Azzam, Ahmed Y, Ciftci, Ahmet Burak, Dural, Ahmet Cem, Sanli, Ahmet Necati, Rahy-Martín, Aida Cristina, Tantri, Aida Rosita, Khan, Aimal, Al-Touny, Aiman, Tariq, Aiman, Gmati, Aimen, Costas-Chavarri, Ainhoa, Auerkari, Aino, Landaluce-Olavarria, Aitor, Puri, Ajay, Radhakrishnan, Ajay, Ubom, Akaninyene Eseme, Pradhan, Akhilesh, Turna, Akif, Adepiti, Akinfolarin, Kuriyama, Akira, Kassam, Al-Faraaz, Hassouneh, Ala, El-Hussuna, Alaa, Habeebullah, Alaa, Ads, Alaa Mohamed, Mousli, Alaa, Biloslavo, Alan, Hoang, Alan, Kirk, Alan, Santini, Alasdair, Melero, Alba Vazquez, Calvache, Albaro José Nieto, Baduell, Albert, Chan, Albert, Abrate, Alberto, Balduzzi, Alberto, Sánchez, Alberto Cabañero, Navarrete-Peón, Alberto, Porcu, Alberto, Brolese, Alberto, Barranquero, Alberto G, Saibene, Alberto Maria, Adam, Albushra Altayeb, Vagge, Aldo, Maquilón, Alejandra Jara, Leon-Andrino, Alejandro, Sekulić, Aleksandar, Trifunovski, Aleksandar, Mako, Aleksandro, Bedada, Alemayehu Ginbo, Broglia, Alessandro, Coppola, Alessandro, Giani, Alessandro, Grandi, Alessandro, Iacomino, Alessandro, Moro, Alessandro, D’Amico, Alessia, Malagnino, Alessia, Tang, Alethea, Doyle, Alex, Alfieri, Alex, Haynes, Alex, Wilkins, Alex, Baldwin, Alexander, Heriot, Alexander, Laird, Alexander, Lazarides, Alexander, O'Connor, Alexander, Trulson, Alexander, Rokohl, Alexander Christopher, Caziuc, Alexandra, Triantafyllou, Alexandra, Anesi, Alexandre, Nikova, Alexandrina, Andrianakis, Alexandro, Charalabopoulos, Alexandro, Tsolakidis, Alexandro, Chirca, Alexandru, Arnaud, Alexis P, Narvaez-Rojas, Alexis Rafael, Kavalakat, Alfie, Spina, Alfio, Recordare, Alfonso, Annicchiarico, Alfredo, Conti, Alfredo, Mohammed, Alhassan Datti, Kocataş, Ali, Almhimid, Ali, Arnaout, Ali, Fahmy, Ali, Mangi, Ali, Modabber, Ali, Ulas, Ali Bilal, Mohamedahmed, Ali Yasen Y, Frontali, Alice, Moynihan, Alice, Yunus, Alif, Ahmad, Aline, Kent, Alistair J, Khamees, Almu'Atasim, Ugwu, Aloy Okechukwu, Turan, Alparslan, Mohammed, Alsnosy Abdullah Khalefa, Navarro-Barrios, Alvaro, Yebes, Alvaro, De Sousa, Álvaro Francisco Lope, Moreno, Amabelle, Sethi, Aman, Dawson, Amanda Caroline, Othman, Amani Alsayd Abdulsalam, Kaur, Amanjot, Wolde, Amanuel, Antonelli, Amedeo, Scifo, Amedeo, Alhamad, Ameen, Davis, Amelia, Alderazi, Amer, Harky, Amer, Mohammed-Durosinlorun, Amina, Seguya, Amina, Okhakhu, Amina, Chamakhi, Amine, Sebai, Amine, Souadka, Amine, Asla, Amir, Agrawal, Amit, Persad, Amit, Gupta, Amit, Elgazar, Amr, Kulkarni, Amruta, Coates, Amy, Bellés, Ana Ciscar, Hadzibegovic, Ana Danic, Jotic, Ana, Kowark, Ana, Martins, Ana, Pineda, Ana Mejía, Peral, Ana, Gollarte, Ana Sánchez, Senent-Boza, Ana, Camarena, Ana Isabel Avellaneda, Castaño-Leon, Ana M, Bravo, Ana Maria Minaya, Moro, Ana María Gimeno, Musina, Ana-Maria, Tapia-Herrero, Ana-María, Kothari, Anai, Gupta, Anand, Raja, Anand, Aljaiuossi, Ana, Taha, Ana, Majbar, Anass Mohammed, Prodromidou, Anastasia, Kanatas, Anastasio, Gupte, Anaya, Zakaria, Andee Dzulkarnaen, Balla, Andrea, Barberis, Andrea, Bondurri, Andrea, Bottari, Andrea, Costantino, Andrea, Figus, Andrea, Lauretta, Andrea, Mingoli, Andrea, Romanzi, Andrea, Sagnotta, Andrea, Scacchi, Andrea, Picchetto, Andrea, Valadez, Andrea Estefania Cueto, Luzzi, Andrea-Pierre, Älgå, Andrea, Fontalis, Andrea, Hecker, Andrea, Demetriades, Andreas K, Serban, Andreea-Madalina, Văcărașu, Andrei Bogdan, Cokan, Andrej, Isaza-Restrepo, Andre, Beamish, Andrew, Schache, Andrew, Stevenson, Andrew, Yiu, Andrew, Cockbain, Andrew J, Litvin, Andrey, Abad-Motos, Ane, Becerra, Angel, Ramos, Ángel Cilleruelo, Chiaradia, Angela, Dell, Angela, Romano, Angela, Pascale, Angelo, Marra, Angelo Alessandro, Dimas, Angelo, Kolias, Angelo, Cerovac, Ani, Koneru, Anish, Tidjane, Anisse, Agbeko, Anita Eseenam, Bajaj, Ankur, Gosain, Ankush, Allan, Anna, Carreras-Castañer, Anna, D'Amore, Anna, Dare, Anna, Maffioli, Anna, Palepa, Anna, Paspala, Anna, Konney, Anna, Gatta, Anna Nunzia Della, Ezanno, Anne-Cecile, Yiallourou, Anneza, Kinnair, Anthony, Rayner, Anthony, Scafa, Anthony Kevin, Bowan, Antoinette Bediako, Veglia, Antonella, Russo, Antonino, Maniaci, Antonino, Castaldi, Antonio, Gil-Moreno, Antonio, Maffuz-Aziz, Antonio, Meola, Antonio, Nenna, Antonio, Ferrer, Antonio Perez, Bonilla, Antonio Ramo, Ramos-De La Medina, Antonio, Infante, Antonio Rodriguez, Santoro, Antonio, Laganà, Antonio Simone, Bateman, Antony, Michael, Antony Louis Rex, Abozid, Anwaar, Seidu, Anwar Sadat, Lowery, Aoife, Tantraworasin, Apichat, Rasheed, Aqsa, Picciariello, Arcangelo, Isik, Arda, Saif, Areeba, Anjum, Arfa, Ioannidis, Argyrio, Abeldaño, Ariel, Hussain, Arif, Nathan, Arjun, Bedzhanyan, Arkady, Perfecto, Arkaitz, De Virgilio, Armando, Galvan, Armando, Sablotzki, Armin, Böttcher, Arne, Pellacani, Arrigo, Gatti, Arthur, Ibrahimli, Arturan, Menon, Arun, Sahni, Arun, Mwenda, Aruyaru Stanley, Choudhry, Asad, Jayawardane, Asanka, Gupta, Ashish, Ramasamy, Ashok, Mitul, Ashrarur Rahman, Bawa, Ashvind, Nugur, Ashwani, Rammohan, Ashwin, Sachdeva, Ashwin, Mehraj, Asif, Yildirim, Asif, Alqaseer, Asma, Radwan, Asmaa, Sallam, Asser, Syllaios, Athanasio, Tampakis, Athanasio, Alwael, Athari, Samara, Athina, Eroglu, Atilla, Rahman, Atiqur, Ulkucu, Attila, Zaránd, Attila, Dulskas, Audriu, Tawiah, Augustine, Zani, Augusto, Vas, Aurelia, Lukosiute-Urboniene, Ausra, Adamu, Auwal, Aujayeb, Avinash, Malik, Awais Amjad, İplikçi, Ayberk, Mahmud, Ayesha, Cil, Aylin Pelin, Makanjuola, Ayomide, Akwaisah, Ayoub, Galandarova, Aysuna, Saracoglu, Ayten, Regan, Azel, Barlas, Aziz Mutlu, Alhassan, Baba Alhaji Bin, Mostafa, Badr, Hamida, Baha Ben, Torun, Bahar Canbay, Abdullah, Bahiyah, Balagobi, Balasingam, Banky, Balaz, Singh, Baljit, Alegbeleye, Bamidele, Yigit, Banu, Hajjaj, Baraa Nabil, Burgos-Blasco, Barbara, Seeliger, Barbara, Alayande, Barnaba, Alhazmi, Barrag, Enodien, Bassey, Torre, Beatrice, Pérez, Beatriz Gómez, Tamayo, Beatriz Villota, De Andrés-Asenjo, Beatriz, Quintana-Villamandos, Begoña, Girgin, Behiç, Barmayehvar, Behrad, Beisenov, Bekzat, Creavin, Ben, Dunne, Ben, Marson, Ben, Waterson, Ben, Martin, Benjamin, Zucker, Benjamin, Wong, Benjamin Ngie Xiong, Ozmen, Berk Bari, Hammond, Bernard, Mbwele, Bernard, Núñez, Bernardo, Dhondt, Bert, Gafsi, Besma, Mcleish, Bethan, Lieske, Bettina, Tailor, Bhavesh, La Pira, Biagia, Picardi, Biagio, Zampogna, Biagio, Casagranda, Biagio, Festa, Bianca Maria, Panda, Bijnya, Kirmani, Bilal, Sulaiman, Bilal, Gurung, Binay, Zacharia, Bincy, Bette, Birgit, Ayana, Birhanu, Nikolovska, Bisera, Vilaró, Blanca Capdevila, De Vega Sánchez, Blanca, Hameed, Bm Zeeshan, Diaconescu, Bogdan, Kovacevic, Bojan, Bumber, Bori, Sakakushev, Bori, Tadic, Bori, Malek, Bouhani, Alrayes, Bourhan, Thomas, Bradley, Gális, Branislav, Gallagher, Brendan, Knowles, Brett, Cunningham, Brian, Daley, Brian, Mishra, Brijesh, Ashford, Bruce, Pirozzi, Brunella Maria, Berselli, Bruno, Martinez-Leo, Bruno, Sensi, Bruno, Nardo, Bruno, Celik, Burak, Giray, Burak, Abud, Burçin, Almiqlash, Bushray, Pramesh, C S, Taskiran, Cagatay, De Campos Prado, Caio Antonio, Cipolla, Calogero, Kumar, Calvin, English, Camilla, Riccetti, Camilla, Vanni, Camilla, Brasset, Camille, Downey, Candice, Duffy, Caoimhe, Chwat, Carina, Cutmore, Carina, Sars, Carl, Ratto, Carlo, Pacilio, Carlo Alberto, De La Infiesta García, Carlo, Moreno, Carlos Guijarro, Magalhães, Carlo, Prada, Carlo, Zapata, Carlos Shiraishi, Senni, Carlotta, Flumignan, Carolina Dutra Queiroz, Martinez-Perez, Carolina, Duarte, Carolina Lugo, Garcia, Carolina Soledad Romero, Anderson, Caroline, Hing, Caroline, Cullinane, Carolyn, Cina, Caterina, Zabkiewicz, Catheriner, Sohrabi, Catrin, Guldogan, Cem Emir, Ciubotaru, Cezar, Desai, Chaitya, Raut, Chandrajit, Demetriou, Chari, Handford, Charle, Okpani, Charle, Paranjape, Charudutt, Koh, Cherry, Khatri, Chetan, Parmar, Chetan, Mok, Chi Wei, Caricato, Chiara, Marafante, Chiara, Echieh, Chidiebere Peter, Tan, Chih Ying, Ong, Chon Sum, Conso, Christel, Jardinez, Christiaan, Konrads, Christian, Warner, Christian, Makwe, Christian Chigozie, Henein, Christin, Fleming, Christina, Roland, Christina L, Maurus, Christine, Nitschke, Christine, Mittermair, Christof, Mallmann, Christoph, Andro, Christophe, Harmston, Christopher, Kuppler, Christopher, Lotz, Christopher, Nahm, Christopher, Rowe, Christopher, Ryalino, Christopher, Wallis, Christopher, Millward, Christopher Paul, Anthoulakis, Christo, Apostolou, Christo, Chouliaras, Christo, Kalfountzos, Christo, Kaselas, Christo, Vosinakis, Christo, Okereke, Chukwuma, Chean, Chung Shen, Barlow, Ciaran, Tatar, Cihad, Clancy, Cillian, Forde, Cillian, Sharpin, Claire, Mccarthy, Claire, Nestor, Claire, Warden, Claire, Ávila, Clara Castro, Massaguer, Clara, Fang, Clarissa Ern Hui, Martins, Claudia Pinto, Guerci, Claudio, Mauriello, Claudio, Holzmeister, Clemen, Miller, Clemen, Weber, Clemen, Wiesinger, Clemens Georg, Kenington, Cleo, Noel, Colin, Sue-Chue-Lam, Colin, Adumah, Collin, Neary, Colm, Sen, Comert, Fitzgerald, Conall, Ezeme, Constantine, Nastos, Constantino, Mesina, Cristian, Bombardini, Cristina, Torregrosa, Cristina, Valdespino, Cristina Puente, Don, Cristine Pathirannehalage, Wickramasinghe, Dakshitha, Milanesi, Damiano, Armijos, Daniel, Asiimwe, Daniel, Beswick, Daniel, Clerc, Daniel, Cox, Daniel, Doherty, Daniel, Martínez, Daniel Fernández, Lechuga, Daniel Garay, Gero, Daniel, Gil-Sala, Daniel, Lindegger, Daniel, Reim, Daniel, Shaerf, Daniel, Shmukler, Daniel, Branzan, Daniela, Filipescu, Daniela, Rega, Daniela, Bernardi, Daniele, Bissacco, Daniele, Fusario, Daniele, Morezzi, Daniele, Sabella, Danielle, Zimak, Danijela Mrazovac, Vinci, Danilo, Sale, Danjuma, Khan, Danyal Zaman, Thereska, Dariel, Andreotti, Dario, Tartaglia, Dario, Abdulai, Darling Ramatu, Mukherjee, Dattatreya, Verdi, Daunia, Idowu, David, John, David, Johnson, David, Moro-Valdezate, David, Naumann, David, Omar, David, Proud, David, Roberts, David, Guzmán, David Santo, Watson, David, Bergkvist, David Julià, Lumenta, David Benjamin, Ferrari, Davide, Rizzo, Davide, Degarege, Dawit, Castillo, Dayan Fanery Campino, Douglas, Deborah, Wright, Deborah, Nanjiani, Deedar, Bratus, Dejan, Altun, Demet, Sievers, Denise, Vaysburg, Denni, Katechia, Devvrat, Ghosh, Dhruva, Azize, Diallo Abdoul, Rodrigues, Diana, Pachajoa, Diana Alejandra Pantoja, Hayne, Dickon, Mutter, Didier, Raimondo, Diego, Eskinazi, Diego, Sasia, Diego, Corallino, Diletta, Muduly, Dillip, Grewal, Dilraj, Hadzhiev, Dimitar, Peristeri, Dimitra, Pournaras, Dimitri, Raptis, Dimitri Aristotle, Angelou, Dimitrio, Haidopoulos, Dimitrio, Magouliotis, Dimitrio, Moris, Dimitrio, Schizas, Dimitrio, Symeonidis, Dimitrio, Tsironis, Dimitrio, Korkolis, Dimitrio, Tatsis, Dimitri, Thekkinkattil, Dinesh, Bulian, Dirk Rolf, Pandey, Diwakar, Vatansever, Dogan, Parker, Dominic, Wiedemann, Dominik, Borselle, Dominika, Pedini, Domiziana, 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(ORCID:0000-0001-6261-2772), Colombo, Francesco, Franceschini, Gianluca (ORCID:0000-0002-2950-3395), Gasparini, Giulio (ORCID:0000-0001-5091-5178), Bianco, Giuseppe (ORCID:0000-0001-7451-4002), Brisinda, Giuseppe (ORCID:0000-0001-8820-9471), Marano, Luigi (ORCID:0000-0002-9833-8055), Fransvea, Pietro (ORCID:0000-0003-4969-3373), Familiari, Pietro (ORCID:0000-0002-5181-2928), Adisa, Adewale, Bahrami-Hessari, Michael, Bhangu, Aneel, George, Christina, Ghosh, Dhruv, Glasbey, Jame, Haque, Parvez, Ingabire, J C Allen, Kamarajah, Sivesh Kathir, Kudrna, Laura, Ledda, Virginia, Li, Elizabeth, Lillywhite, Robert, Mittal, Rohin, Nepogodiev, Dmitri, Ntirenganya, Faustin, Picciochi, Maria, Simões, Joana Filipa Ferreira, Booth, L, Elliot, R, Kennerton, A S, Pettigrove, K L, Pinney, L, Richard, H, Tottman, R, Wheatstone, P, Wolfenden, John W D, Smith, Jenovia Amisti, Sayed, A Emad, Goswami, Aakansha Giri, Malik, Aamer, Mclean, Aaron Lawson, Hassan, Abba, Nazimi, Abd Jabar, Aladna, Abdallah, 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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 Torre, Nunes, Rafael Leite, Aspide, Raffaele, Lombardi, Raffaele, Vidya, Raghavan, Elboraei, Rahma, Saaid, Rahmah, Ghodke, Rahul, Gupta, Rahul, Sharma, Rahul Deo, Lunevicius, Raimunda, 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 Isaac, Függer, Reinhold, Othman, Rema, Saad, Rema, Amores, Remedios Revilla, Colombari, Renan Carlo, Radivojević, Renata Curic, Patrone, Renato, Novysedlák, René, Huatuco, René Manuel Palacio, Baertschiger, Reto, Liang, Rhea, Luckwell, Rhy, Escrevente, Ricardo, Rezende, Ricardo Fernande, 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 Esteve, 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, Sauliu, 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 Marco, 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, Sompraka, Alkhatib, Sondo, 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, Styliano, 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, Tama, Sztipits, Tamá, 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, Taxiarchi, Bisgin, Tayfun, Perra, Teresa, Uprak, Tevfik Kıvılcım, Dagklis, Themistokli, Liakakos, Theodore, Sidiropoulos, Theodoro, Adjeso, Theophilus Justus Kofi, Dölker, Theresa, Oung, Thida, Aherne, Thoma, Diehl, Thoma, Pinkney, Thoma, Raymond, Thoma, Rhomberg, Thoma, Schmitz-Rixen, Thoma, Madhuri, Thumuluru Kavitha, Lohmann, Tibor Karl, Yeoh, Tien, Zaimis, Tilemacho, Bright, Tim, Vilz, Tim O, Glowka, Tim R, Board, Timothy, Hardcastle, Timothy, Cohnert, Tina, Mahečić, Tina Tomić, William, Tinka George, Klatte, Tobia, Abbott, Tom, Watcyn-Jones, Tom, Mendes, Tome, Kulis, Tomislav, Sečan, Tomislav, Campagnaro, Tommaso, Frisoni, Tommaso, Simoncini, Tommaso, Violante, Tommaso, Safranovs, Toms Jani, 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, Uro, 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, Vasileio, 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, Vlasio, 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, Balogh, Zsolt J, Smith, A, Mahmoud, Abdelrahman, Tarek, Ahmed, Moro, Alessandro (ORCID:0000-0002-6708-171X), Marra, Angelo Alessandro (ORCID:0000-0001-8384-5081), Ratto, Carlo (ORCID:0000-0002-0556-0037), D'acapito, Fabrizio, Rosa, Fausto (ORCID:0000-0002-7280-8354), Bussu, Francesco (ORCID:0000-0001-6261-2772), Colombo, Francesco, Franceschini, Gianluca (ORCID:0000-0002-2950-3395), Gasparini, Giulio (ORCID:0000-0001-5091-5178), Bianco, Giuseppe (ORCID:0000-0001-7451-4002), Brisinda, Giuseppe (ORCID:0000-0001-8820-9471), Marano, Luigi (ORCID:0000-0002-9833-8055), Fransvea, Pietro (ORCID:0000-0003-4969-3373), and Familiari, Pietro (ORCID:0000-0002-5181-2928)
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 co-prioritized 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.
Published: 2023

8. Feasibility study of computational occupational dosimetry: evaluating a proof-of-concept in an endovascular and interventional cardiology setting

Author: Universitat Politècnica de Catalunya. Institut de Tècniques Energètiques, Universitat Politècnica de Catalunya. Doctorat en Enginyeria Nuclear i de les Radiacions Ionitzants, Universitat Politècnica de Catalunya. IONHE - Ionising Radiation, Health and Environment, O'Connor, Una, Walsh, Colin, Gorman, Dermot, O'Reilly, Geraldine, Martin, Zenia, Madhavan, Prakash, Murphy, Ross, Szirt, Richard, Almén, Anja, Andersson, Martin, Camp Brunés, Anna, García Balcaza, Víctor, Duch Guillen, María Amor, Ginjaume Egido, Mercè, Abdelrahman, Mahmoud, Lombardo, Pasquale, Vanhavere, Filip, Universitat Politècnica de Catalunya. Institut de Tècniques Energètiques, Universitat Politècnica de Catalunya. Doctorat en Enginyeria Nuclear i de les Radiacions Ionitzants, Universitat Politècnica de Catalunya. IONHE - Ionising Radiation, Health and Environment, O'Connor, Una, Walsh, Colin, Gorman, Dermot, O'Reilly, Geraldine, Martin, Zenia, Madhavan, Prakash, Murphy, Ross, Szirt, Richard, Almén, Anja, Andersson, Martin, Camp Brunés, Anna, García Balcaza, Víctor, Duch Guillen, María Amor, Ginjaume Egido, Mercè, Abdelrahman, Mahmoud, Lombardo, Pasquale, and Vanhavere, Filip
Abstract: Individual monitoring of radiation workers is essential to ensure compliance with legal dose limits and to ensure that doses are As Low As Reasonably Achievable. However, large uncertainties still exist in personal dosimetry and there are issues with compliance and incorrect wearing of dosimeters. The objective of the PODIUM (Personal Online Dosimetry Using Computational Methods) project was to improve personal dosimetry by an innovative approach: the development of an online dosimetry application based on computer simulations without the use of physical dosimeters. Occupational doses were calculated based on the use of camera tracking devices, flexible individualised phantoms and data from the radiation source. When combined with fast Monte Carlo simulation codes, the aim was to perform personal dosimetry in real-time. A key component of the PODIUM project was to assess and validate the methodology in interventional radiology workplaces where improvements in dosimetry are needed. This paper describes the feasibility of implementing the PODIUM approach in a clinical setting. Validation was carried out using dosimeters worn by Vascular Surgeons and Interventional Cardiologists during patient procedures at a hospital in Ireland. Our preliminary results from this feasibility study show acceptable differences of the order of 40% between calculated and measured staff doses, in terms of the personal dose equivalent quantity Hp(10), however there is a greater deviation for more complex cases and improvements are needed. The challenges of using the system in busy interventional rooms have informed the future needs and applicability of PODIUM. The availability of an online personal dosimetry application has the potential to overcome problems that arise from the use of current dosimeters. In addition, it should increase awareness of radiation protection among staff. Some limitations remain and a second phase of development would be required to bring the PODIUM method into ope, Peer Reviewed, Postprint (published version)
Published: 2022

9. Smartwatch-based ecological momentary assessments for occupant wellness and privacy in buildings

Author: Miller, Clayton, Christensen, Renee, Leong, Jin Kai, Abdelrahman, Mahmoud, Tartarini, Federico, Quintana, Matias, Müller, Andre Matthias, Frei, Mario, Miller, Clayton, Christensen, Renee, Leong, Jin Kai, Abdelrahman, Mahmoud, Tartarini, Federico, Quintana, Matias, Müller, Andre Matthias, and Frei, Mario
Abstract: This paper describes the adaptation of an open-source ecological momentary assessment smart-watch platform with three sets of micro-survey wellness-related questions focused on i) infectious disease (COVID-19) risk perception, ii) privacy and distraction in an office context, and iii) triggers of various movement-related behaviors in buildings. This platform was previously used to collect data for thermal comfort, and this work extends its use to other domains. Several research participants took part in a proof-of-concept experiment by wearing a smartwatch to collect their micro-survey question preferences and perception responses for two of the question sets. Participants were also asked to install an indoor localization app on their phone to detect where precisely in the building they completed the survey. The experiment identified occupant information such as the tendencies for the research participants to prefer privacy in certain spaces and the difference between infectious disease risk perception in naturally versus mechanically ventilated spaces.
Published: 2022

10. Targeting occupant feedback using digital twins: Adaptive spatial-temporal thermal preference sampling to optimize personal comfort models

Author: Abdelrahman, Mahmoud, Miller, Clayton, Abdelrahman, Mahmoud, and Miller, Clayton
Abstract: Collecting intensive longitudinal thermal preference data from building occupants is emerging as an innovative means of characterizing the performance of buildings and the people who use them. These techniques have occupants giving subjective feedback using smartphones or smartwatches frequently over the course of days or weeks. The intention is that the data will be collected with high spatial and temporal diversity to best characterize a building and the occupant's preferences. But in reality, leaving the occupant to respond in an ad-hoc or fixed interval way creates unneeded survey fatigue and redundant data. This paper outlines a scenario-based (virtual experiment) method for optimizing data sampling using a smartwatch to achieve comparable accuracy in a personal thermal preference model with fewer data. This method uses BIM-extracted spatial data and Graph Neural Network-based (GNN) modeling to find regions of similar comfort preference to identify the best scenarios for triggering the occupant to give feedback. This method is compared to two baseline scenarios that use conventional zoning and a generic 4x4 square meter grid method from two field-based data sets. The results show that the proposed Build2Vec method has an 18-23\% higher overall sampling quality than the spaces-based and square-grid-based sampling methods. The Build2Vec method also performs similar to the baselines when removing redundant occupant feedback points but with better scalability potential.
Published: 2022
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11. Personal dosimetry using monte-carlo simulations for occupational dose monitoring in interventional radiology: The results of a proof of concept in a clinical setting

Author: Universitat Politècnica de Catalunya. Institut de Tècniques Energètiques, Universitat Politècnica de Catalunya. Departament de Ciència i Enginyeria de Materials, Universitat Politècnica de Catalunya. DRM - Dosimetria i Radiofísica Mèdica, Almén, Anja, Andersson, Martin, O'Connor, Una, Abdelrahman, Mahmoud, Camp Brunés, Anna, García Fernández, Víctor Gerardo, Duch Guillen, María Amor, Ginjaume Egido, Mercè, Vanhavere, Filip, Universitat Politècnica de Catalunya. Institut de Tècniques Energètiques, Universitat Politècnica de Catalunya. Departament de Ciència i Enginyeria de Materials, Universitat Politècnica de Catalunya. DRM - Dosimetria i Radiofísica Mèdica, Almén, Anja, Andersson, Martin, O'Connor, Una, Abdelrahman, Mahmoud, Camp Brunés, Anna, García Fernández, Víctor Gerardo, Duch Guillen, María Amor, Ginjaume Egido, Mercè, and Vanhavere, Filip
Abstract: Exposure levels to staff in interventional radiology (IR) may be significant and appropriate assessment of radiation doses is needed. Issues regarding measurements using physical dosemeters in the clinical environment still exist. The objective of this work was to explore the prerequisites for assessing staff radiation dose, based on simulations only. Personal dose equivalent, Hp(10), was assessed using simulations based on Monte Carlo methods. The position of the operator was defined using a 3D motion tracking system. X-ray system exposure parameters were extracted from the x-ray equipment. The methodology was investigated and the simulations compared to measurements during IR procedures. The results indicate that the differences between simulated and measured staff radiation doses, in terms of the personal dose equivalent quantity Hp(10), are in the order of 30–70 %. The results are promising but some issues remain to be solved, e.g. an automated tracking of movable parts such as the ceiling-mounted protection shield., Peer Reviewed, Postprint (published version)
Published: 2021

12. Autonomous delivery vehicles to fight the spread of Covid-19 – How do men and women differ in their acceptance?

Author: Kapser, Sebastian, Abdelrahman, Mahmoud, Bernecker, Tobias, Kapser, Sebastian, Abdelrahman, Mahmoud, and Bernecker, Tobias
Abstract: Covid-19 seriously impacts and endangers lives of millions worldwide. To fight the spread of the virus, governments have taken various restricting measures including stay at home orders. Ultimately, the home delivery volume increased significantly, which still bears the risk of human–human infection during the final delivery. From a logisticians perspective, autonomous delivery vehicles (ADVs), which are a contactless delivery solution, have the potential to radically change the way groceries are delivered to customer homes and help to stop the spread of the virus. However, to date, research on user acceptance of ADVs is rare. This paper theoretically extends the Unified Theory of Acceptance and Use of Technology (UTAUT2) including gender as a moderator. The study is based on quantitative data collected in Germany through an online questionnaire (n = 501). Data were analysed using structural equation modelling. The results indicate that trust in technology, price sensitivity, innovativeness, performance expectancy, hedonic motivation, social influence, and perceived risk determine behavioural intention. However, some constructs are only significant for women. The findings of this paper have theoretical, managerial and policy contributions and implications within the areas of last-mile delivery and technology acceptance.
Published: 2021

13. Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2Vec

Author: Abdelrahman, Mahmoud, Chong, Adrian, Miller, Clayton, Abdelrahman, Mahmoud, Chong, Adrian, and Miller, Clayton
Abstract: Conventional thermal preference prediction in buildings has limitations due to the difficulty in capturing all environmental and personal factors. New model features can improve the ability of a machine learning model to classify a person's thermal preference. The spatial context of a building can provide information to models about the windows, walls, heating and cooling sources, air diffusers, and other factors that create micro-environments that influence thermal comfort. Due to spatial heterogeneity, it is impractical to position sensors at a high enough resolution to capture all conditions. This research aims to build upon an existing vector-based spatial model, called Build2Vec, for predicting spatial-temporal occupants' indoor environmental preferences. Build2Vec utilizes the spatial data from the Building Information Model (BIM) and indoor localization in a real-world setting. This framework uses longitudinal intensive thermal comfort subjective feedback from smart watch-based ecological momentary assessments (EMA). The aggregation of these data is combined into a graph network structure (i.e., objects and relations) and used as input for a classification model to predict occupant thermal preference. The results of a test implementation show 14-28% accuracy improvement over a set of baselines that use conventional thermal preference prediction input variables.
Published: 2021
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14. A parametric study of occupational radiation dose in interventional radiology by Monte-Carlo simulations

Author: Universitat Politècnica de Catalunya. Institut de Tècniques Energètiques, Universitat Politècnica de Catalunya. DRM - Dosimetria i Radiofísica Mèdica, Abdelrahman, Mahmoud, Lombardo, Pasquale, Camp Brunés, Anna, Duch Guillen, María Amor, Phillips, Christophe, Seret, Alain, Universitat Politècnica de Catalunya. Institut de Tècniques Energètiques, Universitat Politècnica de Catalunya. DRM - Dosimetria i Radiofísica Mèdica, Abdelrahman, Mahmoud, Lombardo, Pasquale, Camp Brunés, Anna, Duch Guillen, María Amor, Phillips, Christophe, and Seret, Alain
Abstract: This paper presents the results of a parametric study on the occupational exposure in interventional radiology to explore the influence of various variables on the staff doses. These variables include the angiography beam settings: x-ray peak voltage (kVp), added copper filtration, field diameter, beam projection and source to detector distance. The study was performed using Monte-Carlo simulations with MCNPX for more than 5600 combinations of parameters that account for different clinical situations. Additionally, the analysis of the results was performed using both multiple and random forest regression to build a predictive model and to quantify the importance of each variable when the variables simultaneously change. Primary and secondary projections were found to have the most effect on the scatter fraction that reaches the operator followed by the effect of changing the x-ray beam quality. The effect of changing the source to image intensifier distance had the lowest effect., Postprint (author's final draft)
Published: 2020

15. Humans-as-a-sensor for buildings: Intensive longitudinal indoor comfort models

Author: Jayathissa, Prageeth, Quintana, Matias, Abdelrahman, Mahmoud, Miller, Clayton, Jayathissa, Prageeth, Quintana, Matias, Abdelrahman, Mahmoud, and Miller, Clayton
Abstract: Evaluating and optimising human comfort within the built environment is challenging due to the large number of physiological, psychological and environmental variables that affect occupant comfort preference. Human perception could be helpful to capture these disparate phenomena and interpreting their impact; the challenge is collecting spatially and temporally diverse subjective feedback in a scalable way. This paper presents a methodology to collect intensive longitudinal subjective feedback of comfort-based preference using micro ecological momentary assessments on a smartwatch platform. An experiment with 30 occupants over two weeks produced 4,378 field-based surveys for thermal, noise, and acoustic preference. The occupants and the spaces in which they left feedback were then clustered according to these preference tendencies. These groups were used to create different feature sets with combinations of environmental and physiological variables, for use in a multi-class classification task. These classification models were trained on a feature set that was developed from time-series attributes, environmental and near-body sensors, heart rate, and the historical preferences of both the individual and the comfort group assigned. The most accurate model had multi-class classification F1 micro scores of 64%, 80% and 86% for thermal, light, and noise preference, respectively. The discussion outlines how these models can enhance comfort preference prediction when supplementing data from installed sensors. The approach presented prompts reflection on how the building analysis community evaluates, controls, and designs indoor environments through balancing the measurement of variables with strategically asking for occupant preferences in an intensive longitudinal way.
Published: 2020
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16. Build2Vec: Building Representation in Vector Space

Author: Abdelrahman, Mahmoud, Chong, Adrian, Miller, Clayton, Abdelrahman, Mahmoud, Chong, Adrian, and Miller, Clayton
Abstract: In this paper, we represent a methodology of a graph embeddings algorithm that is used to transform labeled property graphs obtained from a Building Information Model (BIM). Industrial Foundation Classes (IFC) is a standard schema for BIM, which is utilized to convert the building data into a graph representation. We used node2Vec with biased random walks to extract semantic similarities between different building components and represent them in a multi-dimensional vector space. A case study implementation is conducted on a net-zero-energy building located at the National University of Singapore (SDE4). This approach shows promising machine learning applications in capturing the semantic relations and similarities of different building objects, more specifically, spatial and spatio-temporal data., Comment: 4 pages, 9 figures, 24 referencess
Published: 2020

17. Medicine, psychiatry and human rights

Author: Abdelrahman, Mahmoud Abdelwahab
Subjects: 362.1, Medical ethics
Published: 1986

18. [ANT]: A Machine Learning Approach for Building Performance Simulation: Methods and Development

Author: Abdelrahman, Mahmoud M., Toutou, Ahmed Mohamed Yousef, Abdelrahman, Mahmoud M., and Toutou, Ahmed Mohamed Yousef
Abstract: In this paper, we represent an approach for combining machine learning (ML) techniques with building performance simulation by introducing four methods in which ML could be effectively involved in this field i.e. Classification, Regression, Clustering and Model selection . Rhino-3d-Grasshopper SDK was used to develop a new plugin for involving machine learning in design process using Python programming language and making use of scikit-learn module, that is, a python module which provides a general purpose high level language to nonspecialist user by integration of wide range supervised and unsupervised learning algorithms with high performance, ease of use and well documented features. ANT plugin provides a method to make use of these modules inside Rhino\Grasshopper to be handy to designers. This tool is open source and is released under BSD simplified license. This approach represents promising results regarding making use of data in automating building performance development and could be widely applied. Future studies include providing parallel computation facility using PyOpenCL module as well as computer vision integration using scikit-image.
Published: 2019

19. Traveling solitary wave solutions for the symmetric regularized long-wave equation

Author: khater, Mostafa, Abdelrahman, Mahmoud AE, khater, Mostafa, and Abdelrahman, Mahmoud AE
Abstract: In this paper, we employ the extended tanh function method to nd the exact traveling wave solutions involving parameters of the symmetric regularized long- wave equation. When these parameters are taken to be special values, the solitary wave solutions are derived from the exact traveling wave solutions. These studies reveal that the symmetric regularized long-wave equation has a rich varietyof solutions.
Published: 2015

20. Traveling wave solutions for the Couple Boiti-Leon-Pempinelli System by using extended Jacobian elliptic function expansion method

Author: Khater, Mostafa, Abdelrahman, Mahmoud A.E., Khater, Mostafa, and Abdelrahman, Mahmoud A.E.
Abstract: In this work, an extended Jacobian elliptic function expansion method is pro-posed for constructing the exact solutions of nonlinear evolution equations. The validity and reliability of the method are tested by its applications to the Couple Boiti-Leon-Pempinelli System which plays an important role in mathematical physics.
Published: 2015

21. Assessment of Obesity Complications during Antenatal Period at Qena University Hospital, Egypt

Author: Iosr journals, Shwikar Mahmoud Etman Othman, prof. Dr. Ahmad Hashem Abdellah, Dr. Nadia Abdallah Mohamed, Dr. Ghadah Abdelrahman Mahmoud, Iosr journals, Shwikar Mahmoud Etman Othman, prof. Dr. Ahmad Hashem Abdellah, Dr. Nadia Abdallah Mohamed, and Dr. Ghadah Abdelrahman Mahmoud
Published: 2015
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22. An Analysis of the Tenth Grade English Language Textbooks Questions in Jordan Based on the Revised Edition of Bloom's Taxonomy

Author: Abdelrahman, Mahmoud Sulaiman Hamad Bani and Abdelrahman, Mahmoud Sulaiman Hamad Bani
Abstract: This study aimed at identifying and analyzing the types and levels of questions available in the tenth grade English language textbooks which are used in Jordan during the academic year 2012-2013.The purpose of the analysis was to determine the distribution of the questions over the six levels of the new version of Bloom's Taxonomy of the cognitive domain. The sample of the study consisted of the Tenth grade English language textbooks where the researcher analyzed (655) questions. A study analysis sheet was prepared and used in the classification of the questions according to the new version of Bloom's Taxonomy to achieve the purposes of the study. The results revealed the following: most of the questions were within the first two levels; remembering and understanding (55.11%) , 16.18% for applying and less for the other levels 28.71% which reflected the preponderance of the low level question in the two investigated textbooks. The results revealed that the difference were in favor of the low level questions as the percentage was 51.9%. In light of the results, the researcher recommended to improve the questions in the textbooks to cover the six levels of the new version of Bloom's Taxonomy and to train teachers and designers of curriculum to use and write questions following the new version of Bloom's Taxonomy. Key words: tenth grade, new version of Bloom's Taxonomy, English language textbooks
Published: 2014

23. Information Literacy: Study of Incoming First-year Undergraduates Students who major in English Language at Al-Hussein Bin Talal University

Author: Abdelrahman, Mahmoud Bani, Jwaifell, Mustafa, El-Subhieen, Eid, Abdelrahman, Mahmoud Bani, Jwaifell, Mustafa, and El-Subhieen, Eid
Abstract: This study is aimed at determining Information Literacy (skills and standards) among undergraduate’s students who majors in English Language at Al-Hussein Bin Talal University. The participants in this study are 142 Male/Female students. The researchers used a questionnaire developed by Mittermeyer and Quirion (2003) to achieve their aim and objective. The results of this study pointed that information skills are not mastered by AHU students, thus this study is recommended for students in AHU University and other institutions of higher learning. Keywords: (information literacy, undergraduates, English Language).
Published: 2014

24. User acceptance of autonomous delivery vehicles : an empirical study in Germany

Author: Kapser, Sebastian and Abdelrahman, Mahmoud
Subjects: 658.7, L300 Sociology, L400 Social Policy, N100 Business studies
Abstract: The inevitable need to develop new delivery practices in last-mile delivery arises from the enormously growing business to consumer (B2C) e-commerce and the associated challenges for logistics service providers. Autonomous delivery vehicles (ADVs) will potentially revolutionise last-mile delivery with regard to efficiency, sustainability and customer orientation. However, if not widely accepted by end-consumers, the introduction of ADVs as a delivery option can be a substantial waste of resources. At present, the research on consumers' receptivity of innovations in last-mile delivery, such as ADVs, is limited. This study is the first that investigates user acceptance of ADVs in Germany by utilising a theoretically extended and modified version of the Unified Theory of Acceptance and Use of Technology (UTAUT2) in the specific context of last-mile delivery. Quantitative data was collected through an online survey approach (n = 501) and structural equation modelling was undertaken. The results indicate that overall trust in technology is the strongest predictor of behavioural intention (i.e., user acceptance), followed by price sensitivity, performance expectancy, innovativeness, hedonic motivation, social influence and overall perceived risk; whereas no effect could be found for effort expectancy and facilitating conditions. Additionally, street performance and parcel drop-off performance significantly influence overall trust in technology. The same is true for the effect of perceived performance risk during parcel drop-off and perceived safety risk when driving autonomously on overall perceived risk. Moreover, it has been found that overall trust in technology negatively influences overall perceived risk. Collectively, the Autonomous Delivery Vehicle Acceptance Model was able to explain 80 percent of the variance in behavioural intention to use ADVs. These findings have not only important theoretical contributions but also managerial implications in the areas of technology acceptance and last-mile delivery innovations, which will support the long-term success of ADVs as a last-mile delivery option in Germany.
Published: 2019

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24 results on '"Abdelrahman, Mahmoud"'

1. Set-based design application on dates harvesting machine

2. Investigating the impact of food tourism vlogger entrepreneurs' language characteristics on audiences' attitude and behaviours

3. The Effect of Using the SQ4R Strategy on Tenth Graders' English Reading Comprehension

4. Knowledge sharing by using knowledge management systems to support decision-making processes in multinational corporations

5. Control-style ambidexterity and information systems project performance: an expanded view of control activities

6. The Impact of Using RAFT Strategy on Enhancing Creative Writing Skills of EFL Ninth Grade Students and Their Attitudes Towards It

7. Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

8. Feasibility study of computational occupational dosimetry: evaluating a proof-of-concept in an endovascular and interventional cardiology setting

9. Smartwatch-based ecological momentary assessments for occupant wellness and privacy in buildings

10. Targeting occupant feedback using digital twins: Adaptive spatial-temporal thermal preference sampling to optimize personal comfort models

11. Personal dosimetry using monte-carlo simulations for occupational dose monitoring in interventional radiology: The results of a proof of concept in a clinical setting

12. Autonomous delivery vehicles to fight the spread of Covid-19 – How do men and women differ in their acceptance?

13. Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2Vec

14. A parametric study of occupational radiation dose in interventional radiology by Monte-Carlo simulations

15. Humans-as-a-sensor for buildings: Intensive longitudinal indoor comfort models

16. Build2Vec: Building Representation in Vector Space

17. Medicine, psychiatry and human rights

18. [ANT]: A Machine Learning Approach for Building Performance Simulation: Methods and Development

19. Traveling solitary wave solutions for the symmetric regularized long-wave equation

20. Traveling wave solutions for the Couple Boiti-Leon-Pempinelli System by using extended Jacobian elliptic function expansion method

21. Assessment of Obesity Complications during Antenatal Period at Qena University Hospital, Egypt

22. An Analysis of the Tenth Grade English Language Textbooks Questions in Jordan Based on the Revised Edition of Bloom's Taxonomy

23. Information Literacy: Study of Incoming First-year Undergraduates Students who major in English Language at Al-Hussein Bin Talal University

24. User acceptance of autonomous delivery vehicles : an empirical study in Germany

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24 results on '"Abdelrahman, Mahmoud"'

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