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. …”

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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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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Learning from nature : experimental observation of mimosa pudica by Zhang, Yi

“…Remarkably, the partial pinna stimulation demonstrated a twofold increase in closing time in comparison to entire pinna stimulation, which implied the stimulation contact area did play a significant part in pinna closing time but had no effect on pinna reopening time. …”
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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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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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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. …”

Subprime crisis : the impact of different types of debt on corporate performance. by Lim, Chee Hau., Neo, Wei Ling., Lim, Brandon Weilong.

“…For pre-crisis to crisis period, result indicates that firms possessing pre-existing Undrawn Credit Lines during the pre-crisis period would not perform significantly better than firms which did not have access to Undrawn Credit Lines. …”
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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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Information pollution and the war in Gaza: implications for Singapore by Wong, Yasmine, Haciyakupoglu, Gulizar

“…Besides demonstrating various disinformation types and tactics, there is also the increased resonance of certain disinformation narratives as they overlap and impact on societal sensitivities and identity-based fault lines. These are challenges for Singapore, as societal fault lines present vulnerabilities for disinformation penetration, ultimately affecting social cohesion.…”
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General circulation models simulate negative liquid water path–droplet number correlations, but anthropogenic aerosols still increase simulated liquid water path by Mülmenstädt, J, Gryspeerdt, E, Dipu, S, Quaas, J, Ackerman, AS, Fridlind, AM, Tornow, F, Bauer, SE, Gettelman, A, Ming, Y, Zheng, Y, Ma, P-L, Wang, H, Zhang, K, Christensen, MW, Varble, AC, Leung, LR, Liu, X, Neubauer, D, Partridge, DG, Stier, P, Takemura, T

“…These results are a reminder that assessments of climate parameters based on multiple lines of evidence must carefully consider the complementary strengths of different lines when the lines disagree.…”

Characterization of artemisinin resistance in plasmodium falciparum by Rocamora, Frances Maureen C.

“…Long term in vitro selection produced two parasite lines that displayed profound stage-specific resistance to artemisinin and its relative compounds. …”
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Assessing the financial performance of container shipping companies by Cai, Kewei

“…Over the past few decades, a phenomenon was observed where container shipping lines are adapting vertical integration strategies towards the ports and logistics market, which is outside of their core business. …”
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