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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Optimized location prediction handover algorithm for Long Term Evolution Advanced (LTE-A) network by Ahmad Hasbollah, Arfah

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Spray angle and droplet size analysis for gas turbine fogging by Tan, Beng Chiat

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Electrical breakdown and structural characterization in synthetic resins using optical techniques by Dodd, Stephen John

“…The early tree growth is shown to be driven by the high electrical field near the pin tip, which is itself dependent on the pin-plane electrode separation as well as the applied voltage. …”
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Extraction and microencapsulation of polyphenol-rich antioxidant from Clinacanthus nutans for controlled release formulation by Abdul Karim, Norsuhada

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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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Candida rugosa lipase supported on biomass-based nanocellulose-silica hybrid polyethersulfone membrane for synthesis of pentyl valerate by Elias, Nursyafiqah

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Biomechanical evaluation and new improvement on ankle external fixator by Ramlee, Muhammad Hanif

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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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Low-loss paper-substrate triple-band-frequency reconfigurable microstrip antenna for sub-7 GHz applications by Singh, Ajit Kumar, Mahto, Santosh Kumar, Sinha, Rashmi, Alibakhshikenari, Mohammad, Al-Gburi, Ahmed Jamal Abdullah, Ahmad, Ashfaq, Kouhalvandi, Lida, Virdee, Bal Singh, Dalarsson, Mariana

“…In this paper, a low-cost resin-coated commercial-photo-paper substrate is used to design a printed reconfigurable multiband antenna. The two PIN diodes are used mainly to redistribute the surface current that provides reconfigurable properties to the proposed antenna. …”
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Tunneling-induced ground movement and building damage prediction using hybrid artificial neural networks by Hajihassani, Mohsen

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Cost-aware real-time divisible loads scheduling in cloud computing by Abdul Majid, Mimi Liza

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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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Evaluation of sustainable supply chain risk: evidence from the Iranian food industry by Tavakoli Haji Abadi, Yasamin, Avakh Darestani, Soroush

“…The final weight of the main and sub-criteria was obtained using the F-BWM method via LINGO software. Risk management in the sustainable supply chain has the role of identifying, analyzing and providing solutions to control risks. …”
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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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Data-driven modelling and optimization of palm oil refining process by Sulaiman, Nurul Sulaiha

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Does cognitive biased knowledge influence investor decisions? An empirical investigation using machine learning and artificial neural network by Bihari, Anshita, Dash, Manoranjan, Muduli, Kamalakanta, Kumar, Anil, Mulat-Weldemeskel, Eyob, Luthra, Sunil

“…The goal of this research is to find out how biases in information based on knowledge affect decisions about investments. …”
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