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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Blood-stage malaria vaccine candidate RH5.1/Matrix-M in healthy Tanzanian adults and children; an open-label, non-randomised, first-in-human, single-centre, phase 1b trial by Silk, SE, Kalinga, WF, Salkeld, J, Mtaka, IM, Ahmed, S, Milando, F, Diouf, A, Bundi, CK, Balige, N, Hassan, O, Mkindi, CG, Rwezaula, S, Athumani, T, Mswata, S, Lilolime, NS, Simon, B, Msami, H, Mohamed, M, David, DM, Mohammed, L, Nyaulingo, G, Mwalimu, B, Juma, O, Mwamlima, TG, Sasamalo, IA, Mkumbange, RP, Kamage, JJ, Barrett, JR, King, LDW, Hou, MM, Pulido, D, Carnrot, C, Lawrie, AM, Cowan, RE, Nugent, FL, Roberts, R, Cho, J-S, Long, CA, Nielsen, CM, Miura, K, Draper, SJ, Olotu, AI, Minassian, AM

“…<p><strong>Background:</strong> A blood-stage Plasmodium falciparum malaria vaccine would provide a second line of defence to complement partially effective or waning immunity conferred by the approved pre-erythrocytic vaccines. …”

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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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

“…Here, we show that p16 overexpression is associated with reduced antitumor activity of CDK4/6 inhibitors in patient-derived xenografts (n = 37) and estrogen receptor-positive breast cancer cell lines, as well as reduced response of early and advanced breast cancer patients to CDK4/6 inhibitors (n = 89). …”
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Novel method of probe design for characterising unclassified microbial taxa in wastewater by Tan, Shi Ming

“…Shimingles; distinct clades were in line with two draft genomes recovered through genomic binning. …”
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Artificial neural networks solutions for solving differential equations: A focus and example for flow of viscoelastic fluid with microrotation by Abdullah, null, Faye, Ibrahima, Laila Amera, Aziz

“…PINN offers an alternative to classical numerical methods. …”
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InAlN/GaN high electron mobility transistors on Si for RF applications by Xing, Weichuan

“…Also, device geometries including gate length, line-to-space ratio of the nanostripchannel and gate-to-source distance have been studied. …”
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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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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

Software defined network : user centric network by Lim, Derrick Teck Leong.

“…A test of the application was done by running two continuous pings, one from each host to the other. Then, the path in use was disconnected. …”
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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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Modelling familiarity : towards age-friendly exergame design by Zhang, Hao

“…Study I aims to evaluate the effectiveness of familiarity on improving older adults' ability and motivation to exergames. 44 Singaporean older adults were involved in this study to play Ping Pong exergame, which is infused with table tennis activities. …”
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Physics-Informed Deep Learning for Plasma Etch Optimization by Dighamber, Mohit

“…Future work includes utilizing the PINN model in a Bayesian framework to facilitate recipe optimization for the desired etch profile.…”
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Synthesis characterization and effect of silver nanoparticles on Citrobacter sp. A1 and Enterococcus sp. C1 in simulated environment / by Lau, Chew Ping, 1989-, author 522842