Application of artificial intelligence based on state grid ESG platform in clean energy scheduling optimization by Zhu, Tianyi, Guan, Xin, Chen, Chuan, Cao, Xiaojing, Wang, Caimeng, Liao, Jiarong

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The development of an interdisciplinary theoretical framework for Forest School in the United Kingdom by Knight, Sara Ann, Coates, Janine Kim, Lathlean, Judith, Perez-del-Aguila, Rossana

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Structure-tunable Janus fibers fabricated using spinnerets with varying port angles by Chen, Gaoyun, Xu, Ying, Yu, Deng-Guang, Zhang, Dao-Fang, Chatterton, Nicholas, White, Kenneth

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A compact balanced antipodal bow-tie antenna having double notch-bands by Dadgarpour, Abdolmehdi, Jolani, Farid, Yu, Yiqiang, Chen, Zhizhang, Virdee, Bal Singh, Denidni, Tayeb A.

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Internet search alters intra- and Inter-regional synchronization in the temporal gyrus by Liu, Xiaoyue, Lin, Xiao, Zheng, Ming, Hu, Yanbo, Wang, Yifan, Wang, Lingxiao, Du, Xiaoxia, Dong, Guangheng

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Ultrasound-compatible 3D-printed Franz diffusion system for sonophoresis with microbubbles by Chen, Xin, De Grandi, Davide, Zhu, Yonglian, Lutheryn, Gareth, Lane, Majella E., Sil dos Santos, Bruno, Carugo, Dario

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Effect of implementation of a smoke-free policy on physical violence in a psychiatric inpatient setting: an interrupted time series analysis by Robson, Debbie, Spaducci, Gilda, McNeill, Ann, Stewart, Duncan, Craig, Tom J. K., Yates, Mary, Szatkowski, Lisa

“…Methods: We conducted an interrupted time series analysis of incident reports of physical assault 30 months before and 12 months after the implementation of the policy using a quasi-Poisson generalised additive mixed model. Findings: There were 4,550 physical assaults over the study period; 4.9% of which were smoking-related. …”
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Molecular basis of selectivity and activity for the antimicrobial peptide Lynronne‐1 informs rational design of peptide with improved activity by Jayawant, Eleanor S., Hutchinson, Jack, Gašparíková, Dorota, Lockey, Christine, Pruñonosa Lara, Lidón, Guy, Ciaran, Brooks, Rhiannon L., Dixon, Ann M.

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Understanding digital inequality: a theoretical kaleidoscope by Kuhn, Caroline, Khoo, Su-Ming, Czerniewicz, Laura, Lilley, Warren, Bute, Swati, Crean, Aisling, Abegglen, Sandra, Burns, Tom, Sinfield, Sandra, Jandrić, Petar, Knox, Jeremy, MacKenzie, Alison

“…Given this reality, we, all educators, came together to find ways to understand and address some of these inequalities. …”
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Communication: Infrared spectroscopy of salt-water complexes by Tandy, Jonathan D., Feng, Cheng, Boatwright, Adrian, Sarma, Gautam, Sadoon, Ahmed M., Shirley, Andrew, Rodrigues, Natercia Das Neves, Cunningham, Ethan M., Yang, Shengfu, Ellis, Andrew M.

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Breast cancer detection based on simplified deep learning technique with histopathological image using BreaKHis database by Toma, Tania Afroz, Biswas, Shivazi, Miah, Md Sipon, Alibakhshikenari, Mohammad, Virdee, Bal Singh, Fernando, Sandra, Rahman, Md Habibur, Ali, Syed Mansoor, Arpanaei, Farhad, Hossain, Mohammad Amzad, Rahman, Md Mahbubur, Niu, Ming-bo, Parchin, Naser Ojaroudi, Livreri, Patrizia

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Predicted benign and synonymous variants in CYP11A1 cause primary adrenal insufficiency through missplicing by Maharaj, Avinaash, Buonocore, Federica, Meimaridou, Eirini, Ruiz-Babot, Gerard, Guasti, Leonardo, Peng, Hwei-Ming, Capper, Cameron P., Burgos-Tirado, Neikelyn, Prasad, Rathi, Hughes, Claire R., Maudhoo, Ashwini, Crowne, Elizabeth, Cheetham, Timothy D., Brain, Caroline E., Suntharalingham, Jenifer P., Striglioni, Niccolò, Yuksel, Bilgin, Gurbuz, Fatih, Gupta, Sangay, Lindsay, Robert, Couch, Robert, Spoudeas, Helen A., Guran, Tulay, Johnson, Stephanie, Fowler, Dallas J., Conwell, Louise S., McInerney-Leo, Aideen M., Drui, Delphine, Cariou, Bertrand, Lopez-Siguero, Juan P., Harris, Mark, Duncan, Emma L., Hindmarsh, Peter C., Auchus, Richard J., Donaldson, Malcolm D., Achermann, John C., Metherell, Louise A.

“…Taken together, these findings show that compound heterozygosity involving a relatively common and predicted "benign" variant in CYP11A1 is a major contributor to PAI of unknown etiology, especially in European populations. …”
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Non-probabilistic method to consider uncertainties in frequency response function for vibration-based damage detection using artificial neural network by Padil, Khairul Hazman

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Metaheuristic approach on feature extraction and classification algorithm for handwrittten character recognition by Mohamad, Muhammad ‘Arif

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Multistage artificial neural network in structural damage detection by Goh, Lyn Dee

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Machine learning applications for the topology prediction of transmembrane beta-barrel proteins by Grimaldi, Cédric Maxime

“…Therefore, there is a need to find computational tools that can predict and detect the structure of beta-barrel transmembrane proteins. …”
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Tunneling-induced ground movement and building damage prediction using hybrid artificial neural networks by Hajihassani, Mohsen

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Behavior of fiber reinforced polymer grouted splice connections by Koushfar, Kiarash

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Modelling of traffic control delays at priority junctions using artificial neural network by Mohammad Ali Sahraei

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Modeling of fenton treatment for landfill leachate by response surface methodology, multiple linear regression and artificial neural network by Roudi, Anita Maslahati

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