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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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. …”

Energy storage management for renewable energy systems by Feng, Xue

“…The device models including the dynamic battery model proposed are incorporated in the system simulations. A fine-grained intelligent control strategy with multiple operation modes is designed to distribute the power demand between the batteries and the ultracapacitors considering the real time power mismatches. …”
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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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Observation of flat bands and Dirac cones in a pyrochlore lattice superconductor by Huang, Jianwei, Setty, Chandan, Deng, Liangzi, You, Jing-Yang, Liu, Hongxiong, Shao, Sen, Oh, Ji Seop, Guo, Yucheng, Zhang, Yichen, Yue, Ziqin, Yin, Jia-Xin, Hashimoto, Makoto, Lu, Donghui, Gorovikov, Sergey, Dai, Pengcheng, Denlinger, Jonathan D., Allen, J. W., Hasan, M. Zahid, Feng, Yuan-Ping, Birgeneau, Robert J., Shi, Youguo, Chu, Ching-Wu, Chang, Guoqing, Si, Qimiao, Yi, Ming

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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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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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Wave propagation sensors for structural control by Pines, Darryll J. (Darryll John)

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Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures by Belov, Vladimir, Erwin-Grabner, Tracy, Aghajani, Moji, Aleman, Andre, Amod, Alyssa R., Basgoze, Zeynep, Benedetti, Francesco, Besteher, Bianca, Bülow, Robin, Ching, Christopher R. K., Connolly, Colm G., Cullen, Kathryn, Davey, Christopher G., Dima, Danai, Dols, Annemiek, Evans, Jennifer W., Fu, Cynthia H. Y., Gonul, Ali Saffet, Gotlib, Ian H., Grabe, Hans J., Groenewold, Nynke, Hamilton, J. Paul, Harrison, Ben J., Ho, Tiffany C., Mwangi, Benson, Jaworska, Natalia, Jahanshad, Neda, Klimes-Dougan, Bonnie, Koopowitz, Sheri-Michelle, Lancaster, Thomas, Li, Meng, Linden, David E. J., MacMaster, Frank P., Mehler, David M. A., Melloni, Elisa, Mueller, Bryon A., Ojha, Amar, Oudega, Mardien L., Penninx, Brenda W. J. H., Poletti, Sara, Pomarol-Clotet, Edith, Portella, Maria J., Pozzi, Elena, Reneman, Liesbeth, Sacchet, Matthew D., Sämann, Philipp G., Schrantee, Anouk, Sim, Kang, Soares, Jair C., Stein, Dan J., Thomopoulos, Sophia I., Uyar-Demir, Aslihan, van der Wee, Nic J. A., van der Werff, Steven J. A., Völzke, Henry, Whittle, Sarah, Wittfeld, Katharina, Wright, Margaret J., Wu, Mon-Ju, Yang, Tony T., Zarate, Carlos, Veltman, Dick J., Schmaal, Lianne, Thompson, Paul M., Goya-Maldonado, Roberto

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Generalization of the Multiplicative and Additive Compounds of Square Matrices and Contraction Theory in the Hausdorff Dimension by Wu, Chengshuai, Pines, Raz, Margaliot, Michael, Slotine, Jean-Jacques

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Comparison of different cooling strategies in achieving desired crystal size distribution for seeded potash alum crystallization process by Siti Zubaidah, Adnan, Noor Asma Fazli, Abdul Samad

“…Based on the simulation results, strategy I delivers the smallest size of CSD with high fines or small-sized crystals, while strategy II provides large CSD but with significant number of fines. …”
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Goblet cell differentiation in colorectal cancer by Abdullayeva, G

“…These groups included high, medium, and low MUC2/TFF3-expressing cell lines, cell lines with no/very low MUC2 but high TFF3 expression, and cell lines completely lacking these proteins. …”

Numerical modeling of the morphological change in Lhok Nga, west Banda Aceh, during the 2004 Indian Ocean tsunami : understanding tsunami deposits using a forward modeling method by Li, Linlin, Qiu, Qiang, Huang, Zhenhua

“…Phenomena such as landward thinning in deposit thickness, landward fining in grain size, and fining upwards in grain size are commonly used to identify tsunami deposits and were examined in this case study. …”
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Improving gene therapy by Wang, Eliza Lisha

“…Existing PT67 and Amphotropic-Phoenix retroviral packaging cell lines can be made more efficient to produce higher retroviral titers, giving rise to more efficient gene transfer. …”
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Automatic vanishing points detection for single view reconstruction by Potcharaphol, Chat Anan

“…The algorithm is found to be fast and effective for an image with clear feature lines but struggles with an image with few feature lines. …”
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Perceptual watermarking and data concealment in audio signals by Tio, Cedric Meng Meng.

“…This project aims to hide data in audio streams by direct substitution of the FFT spectral lines with the hidden data. The spectral lines to be replaced are carefully chosen with the help of a psychoacoustic model. …”
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POPX2 and its role in breast cancer. by Susila, Agatha.

“…We found that POPX2 is highly expressed in cancer cell lines compared to non-cancer cell lines.…”
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Analysing the effect of screw configuration using a stochastic twin-screw granulation model by McGuire, Andrew D., Mosbach, Sebastian, Reynolds, Gavin K., Patterson, Robert I. A., Bringley, Eric, Eaves, Nick, Dreyer, Jochen A. H., Kraft, Markus

“…However, the model has a tendency to over-predict the amount of fines in the final product. Nevertheless, the model qualitatively captures the reduction in fines associated with an increase in the number of kneading elements, as observed experimentally. …”
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