Consumers’ Purchase Intention toward Electric Vehicles from the Perspective of Perceived Green Value: An Empirical Survey from China von Zhao, Haipeng, Furuoka, Fumitaka, Rasiah, Rajah A/L, Shen, Erhuan

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Modeling Work Practices under Socio-Technical Systems for Sustainable Manufacturing Performance von Qureshi, Muhammad Imran, Rasiah, Rajah A/l, Al-Ghazali, Basheer M., Haider, Maqsood, Jambari, Hanifah, Iswan, Sasmoko

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Cannabis and schizophrenia von McLoughlin, Benjamin C, Pushpa‐Rajah, Jonathan A, Gillies, Donna, Rathbone, John, Variend, Hannele, Kalakouti, Eliana, Kyprianou, Katerina, McLoughlin, Benjamin C

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A proof of concept for a deep learning system that can aid embryologists in predicting blastocyst survival after thaw von Marsh, P., Radif, D., Rajpurkar, P., Wang, Z., Hariton, E., Ribeiro, S., Simbulan, R., Kaing, A., Lin, W., Rajah, A., Rabara, F., Lungren, M., Demirci, U., Ng, A., Rosen, M.

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Investigation of structural, optical and photoluminescence properties of non-essential amino acid capped zinc sulfide nanoparticles for optoelectronic applications von Raja, P., Rajkumar, P., Jegatheesan, P., Amalraj, A. Sales, Lourdu Rajah, A. Joseph

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The impact of coronavirus disease 2019 on suspected head and neck cancer two-week-wait referrals von Bhamra, N, Gorman, B, Arnold, W, Rajah, A, Jolly, K, Nieto, H, Fussey, J, Liew, L

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Anakinra for palmoplantar pustulosis: results from a randomized, double‐blind, multicentre, two‐staged, adaptive placebo‐controlled trial (APRICOT) von Cro, S., Cornelius, V.R., Pink, A.E., Wilson, R., Pushpa‐Rajah, A., Patel, P., Abdul‐Wahab, A., August, S., Azad, J., Becher, G., Chapman, A., Dunnill, G., Ferguson, A.D., Fogo, A., Ghaffar, S.A., Ingram, J.R., Kavakleiva, S., Ladoyanni, E., Leman, J.A., Macbeth, A.E., Makrygeorgou, A., Parslew, R., Ryan, A.J., Sharma, A., Shipman, A.R., Sinclair, C., Wachsmuth, R., Woolf, R.T., Wright, A., McAteer, H., Barker, J.N.W.N., Burden, A.D., Griffiths, C.E.M., Reynolds, N.J., Warren, R.B., Lachmann, H.J., Capon, F., Smith, C.H., Altamura, Davide, Piguet, Vincent, Verdolini, Roberto, Wallace, Marc, Sundararaj, Kavitha, Arujuna, Nisha, Fleming, Charlotte, Lamb, Ruth, Dodds, Jacqueline, Baryschpolec, Sonia, Cooper, Hywel

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Implementing core NICE guidelines for osteoarthritis in primary care with a model consultation (MOSAICS): a cluster randomised controlled trial von Dziedzic, K.S., Healey, E.L., Porcheret, M., Afolabi, E.K., Lewis, M., Morden, A., Jinks, C., McHugh, G.A., Ryan, S., Finney, A., Main, C., Edwards, J.J., Paskins, Z., Pushpa-Rajah, A., Hay, E.M.

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Cannabis and schizophrenia von Pushpa-Rajah, Jonathan A, McLoughlin, Benjamin C, Gillies, Donna, Rathbone, John, Variend, Hannele, Kalakouti, Eliana, Kyprianou, Katerina

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Factors Affecting Post Caesarean Pain Intensity among Women in the Northern Peninsular of Malaysia von Jasim, Hanan Hussein, Sulaiman, Syed Azhar Bin Syed, Khan, Amer Hayat, S Rajah, Usha A/P

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Colonoscopy polyp detection and classification: Dataset creation and comparative evaluations von Li, Kaidong, Fathan, Mohammad I, Patel, Krushi, Zhang, Tianxiao, Zhong, Cuncong, Bansal, Ajay, Rastogi, Amit, Wang, Jean S, Wang, Guanghui

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Multi- class classification of breast cancer abnormalities using Deep Convolutional Neural Network (CNN) von Heenaye-Mamode Khan, Maleika, Boodoo-Jahangeer, Nazmeen, Dullull, Wasiimah, Nathire, Shaista, Gao, Xiaohong, Sinha, G R, Nagwanshi, Kapil Kumar

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CO-IRv2: Optimized InceptionResNetV2 for COVID-19 detection from chest CT images von Mondal, M Rubaiyat Hossain, Bharati, Subrato, Podder, Prajoy

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ai-corona: Radiologist-assistant deep learning framework for COVID-19 diagnosis in chest CT scans von Yousefzadeh, Mehdi, Esfahanian, Parsa, Movahed, Seyed Mohammad Sadegh, Gorgin, Saeid, Rahmati, Dara, Abedini, Atefeh, Nadji, Seyed Alireza, Haseli, Sara, Bakhshayesh Karam, Mehrdad, Kiani, Arda, Hoseinyazdi, Meisam, Roshandel, Jafar, Lashgari, Reza

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PCAT-UNet: UNet-like network fused convolution and transformer for retinal vessel segmentation von Chen, Danny, Yang, Wenzhong, Wang, Liejun, Tan, Sixiang, Lin, Jiangzhaung, Bu, Wenxiu

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Optimised genetic algorithm-extreme learning machine approach for automatic COVID-19 detection von Albadr, Musatafa Abbas Abbood, Tiun, Sabrina, Ayob, Masri, Al-Dhief, Fahad Taha, Omar, Khairuddin, Hamzah, Faizal Amri

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COVID-19 diagnosis from CT scans and chest X-ray images using low-cost Raspberry Pi von Hosny, Khalid M, Darwish, Mohamed M, Li, Kenli, Salah, Ahmad

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Individual determinants of COVID-19 vaccine hesitancy von Gerretsen, Philip, Kim, Julia, Caravaggio, Fernando, Quilty, Lena, Sanches, Marcos, Wells, Samantha, Brown, Eric E, Agic, Branka, Pollock, Bruce G, Graff-Guerrero, Ariel

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Macular Ganglion Cell Analysis Determined by Cirrus HD Optical Coherence Tomography for Early Detecting Chiasmal Compression von Yum, Hae Ri, Park, Shin Hae, Park, Hae-Young Lopilly, Shin, Sun Young

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A divide and conquer approach to maximise deep learning mammography classification accuracies von Jaamour, Adam, Myles, Craig, Patel, Ashay, Chen, Shuen-Jen, McMillan, Lewis, Harris-Birtill, David

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