Integrative genomic analyses in adipocytes implicate DNA methylation in human obesity and diabetes by McAllan, Liam, Baranasic, Damir, Villicaña, Sergio, Brown, Scarlett, Zhang, Weihua, Lehne, Benjamin, Adamo, Marco, Jenkinson, Andrew, Elkalaawy, Mohamed, Mohammadi, Borzoueh, Hashemi, Majid, Fernandes, Nadia, Lambie, Nathalie, Williams, Richard, Christiansen, Colette, Yang, Youwen, Zudina, Liudmila, Lagou, Vasiliki, Tan, Sili, Castillo-Fernandez, Juan, King, James W. D., Soong, Richie, Elliott, Paul, Scott, James, Prokopenko, Inga, Cebola, Inês, Loh, Marie, Lenhard, Boris, Batterham, Rachel L., Bell, Jordana T., Chambers, John Campbell, Kooner, Jaspal S., Scott, William R.

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An omics-based machine learning approach to predict diabetes progression: a RHAPSODY study by Slieker, Roderick C., Münch, Magnus, Donnelly, Louise A., Bouland, Gerard A., Dragan, Iulian, Kuznetsov, Dmitry, Elders, Petra J. M., Rutter, Guy A., Ibberson, Mark, Pearson, Ewan R., Hart, Leen M. 't, van de Wiel, Mark A., Beulens, Joline W. J.

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Using brain structural neuroimaging measures to predict psychosis onset for individuals at clinical high-risk by Zhu, Yinghan, Maikusa, Norihide, Radua, Joaquim, Sämann, Philipp G., Fusar-Poli, Paolo, Agartz, Ingrid, Andreassen, Ole A., Bachman, Peter, Baeza, Inmaculada, Chen, Xiaogang, Choi, Sunah, Corcoran, Cheryl M., Ebdrup, Bjørn H., Fortea, Adriana, Garani, Ranjini Rg, Glenthøj, Birte Yding, Glenthøj, Louise Birkedal, Haas, Shalaila S., Hamilton, Holly K., Hayes, Rebecca A., He, Ying, Heekeren, Karsten, Kasai, Kiyoto, Katagiri, Naoyuki, Kim, Minah, Kristensen, Tina D., Kwon, Jun Soo, Lawrie, Stephen M., Lebedeva, Irina, Lee, Jimmy, Loewy, Rachel L., Mathalon, Daniel H., McGuire, Philip, Mizrahi, Romina, Mizuno, Masafumi, Møller, Paul, Nemoto, Takahiro, Nordholm, Dorte, Omelchenko, Maria A., Raghava, Jayachandra M., Røssberg, Jan I., Rössler, Wulf, Salisbury, Dean F., Sasabayashi, Daiki, Smigielski, Lukasz, Sugranyes, Gisela, Takahashi, Tsutomu, Tamnes, Christian K., Tang, Jinsong, Theodoridou, Anastasia, Tomyshev, Alexander S., Uhlhaas, Peter J., Værnes, Tor G., van Amelsvoort, Therese A. M. J., Waltz, James A., Westlye, Lars T., Zhou, Juan H., Thompson, Paul M., Hernaus, Dennis, Jalbrzikowski, Maria, Koike, Shinsuke

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The effects of atmosphere-ocean-wave coupling during tropical cyclone by Garg, Nikhil

“…This transfer of momentum (from atmosphere to ocean) is not a one-way link, i.e., there are feedback effects from ocean (both in terms of enthalpy and momentum) on the atmospheric boundary layer. …”
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The iHealth-T2D study, prevention of type 2 diabetes amongst South Asians with central obesity and prediabetes: study protocol for a randomised controlled trial by Kasturiratne, Anuradhani, Khawaja, Khadija I., Ahmad, Sajjad, Siddiqui, Samreen, Shahzad, Khurram, Athauda, Lathika K., Jayawardena, Ranil, Mahmood, Sara, Muilwijk, Mirthe, Batool, Tayyaba, Burney, Saira, Glover, Matthew, Palaniswamy, Saranya, Bamunuarachchi, Vodathi, Panda, Manju, Madawanarachchi, Suren, Rai, Baldeesh, Sattar, Iqra, Silva, Wnurinham, Waghdhare, Swati, Jarvelin, Marjo-Riitta, Rannan-Eliya, Ravindra P., Gage, Heather M., van Valkengoed, Irene G. M., Valabhji, Jonathan, Frost, Gary S., Loh, Marie, Wickremasinghe, Ananda R., Kooner, Jaspal S., Katulanda, Prasad, Jha, Sujeet, Chambers, John C.

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High p16 expression and heterozygous RB1 loss are biomarkers for CDK4/6 inhibitor resistance in ER+ breast cancer by Palafox, Marta, Monserrat, Laia, Bellet, Meritxell, Villacampa, Guillermo, Gonzalez-Perez, Abel, Oliveira, Mafalda, Brasó-Maristany, Fara, Ibrahimi, Nusaibah, Kannan, Srinivasaraghavan, Mina, Leonardo, Herrera-Abreu, Maria Teresa, Òdena, Andreu, Sánchez-Guixé, Mònica, Capelán, Marta, Azaro, Analía, Bruna, Alejandra, Rodríguez, Olga, Guzmán, Marta, Grueso, Judit, Viaplana, Cristina, Hernández, Javier, Su, Faye, Lin, Kui, Clarke, Robert B., Caldas, Carlos, Arribas, Joaquín, Michiels, Stefan, García-Sanz, Alicia, Turner, Nicholas C., Prat, Aleix, Nuciforo, Paolo, Dienstmann, Rodrigo, Verma, Chandra Shekhar, Lopez-Bigas, Nuria, Scaltriti, Maurizio, Arnedos, Monica, Saura, Cristina, Serra, Violeta

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Design and implementation of an ultra sound distance estimation device by Ng, Waylon Wei Lun.

“…The most common type of ultrasonic distance measurement device uses the parallax ping where the signal is transmitted from the ultrasonic transmitter to the target and back to the ultrasonic receiver. …”
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A machine-learned approach for reducing airborne delays and environmental impact in terminal manoeuvring area using extended arrival management by Lim, Zhi Jun

“…Air traffic management divides the airspace into three sections: the airport control zone (taxiing, takeoff, landing), the terminal manoeuvring area (TMA, for climbs and descents), and the en-route airspace (cruise). The TMA, a critical link between en-route airspace and the airport, is a major source of airborne delays. …”
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Health monitoring, lifetimes estimation, and thermal management of IGBT-based power converters by Mohamed Halick Mohamed Sathik

“…Reliability of a power converter is mainly verbalized by the failure rate of power semiconductor device and dc-link capacitor. For instance, in applications demanding higher reliability, electrolytic capacitors are swapped with film capacitors, since they exhibit lower equivalent series resistance (ESR) with increased reliability. …”
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Immobilization of lipase from Thermomyces lanuginosus and its Glycerolysis ability in diacylglycerol preparation by Xie, Rui, Lee, Yee Ying, Xie, Pengkai, Tan, Chin Ping

“…The selected immobilization conditions were identified as pH 7.0, 35 °C, cross-linking agent concentration 2.0%, cross-linking time 4 h, lipase amount 5 mg/g of support, and adsorption time 4 h. …”
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Data-driven forward and inverse analysis of two-dimensional soil consolidation using physics-informed neural network by Wang, Yu, Shi, Chao, Shi, Jiangwei, Lu, Hu

“…Different random seeds are used to test the robustness of the PINN developed and quantify the associated model uncertainty. …”
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Physics-informed neural network for fast prediction of temperature distributions in cancerous breasts as a potential efficient portable AI-based diagnostic tool by Mukhmetov, Olzhas, Zhao, Yong, Mashekova, Aigerim, Zarikas, Vasilios, Ng, Eddie Yin Kwee, Aidossov, Nurduman

“…This work presents the development of a novel Physics-Informed Neural Network (PINN) method for fast forward simulation of heat transfer through cancerous breast models. …”
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MOFs-derived copper sulfides embedded within porous carbon octahedra for electrochemical capacitor applications by Wu, Renbing, Wang, Dan Ping, Kumar, Vipin, Zhou, Kun, Law, Adrian Wing-Keung, Lee, Pooi See, Lou, Jun, Chen, Zhong

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The effect of the molecular weight of blackberry polysaccharides on gut microbiota modulation and hypoglycemic effect in vivo by Xi, Lai, Weibing, Xu, Shuyong, Fu, Sheng-Hua, Li, Xiong, Fu, Chin-Ping, Tan, Ping-Ping, Wang, Zu-Man, Dou, Chun, Chen

Green building technology and carbon footprint analysis by Xu, Ping Wei.

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Cross cultural study on traditional customs & gift giving behaviour in chinese marriages by Boon, Hue Ping, Hu, Ping Ting, Ong, June May Hui

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Service quality (SERVQUAL) model in private higher education institutions: A bibliometric analysis of past, present, and future prospects by Wider, Walton, Tan, Foong Ping, Tan, Yen Ping, Lin, Jiaming, Muhammad Ashraf, Fauzi, Wong, Lingshing, Tanucan, Jem Cloyd M., Hossain, Syed Far Abid

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Perceptual distortion analysis for images by Dong, Li

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Banks regulatory reforms in Singapore. by Foo, Cindy Ping Ping., Lee, Shirleen Sok Loon., Ng, Mui Chee.

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Cost-benefit analysis of renewable energy sources for smart grids by Htun Htun, Aung

“…It is also linked to the product database which contains a wide range of models for solar panels, wind turbines and fuel cells.…”
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