EEG-based attention recognition using machine learning by Sun, Haoqi

“…The accuracy 94.3% (±5.6%) is the best compared to other feature selection and channel selection algorithms. Based on CSDF, we find that the first and second order difference in the left parietal and temporal lobes, as well as the Higuchi fractal dimension and mean signal amplitude in the right frontal lobe, are relevant to selective attention. …”
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“可爱” 又 “可恶” 的女人 ：中国广场舞大妈 = Adorable or abominable? : Chinese square dancing dama by 徐昕 Xin, Xu

“…This article tries to find that square dancing is so enticing to the square dancing "dama" due to its overall health benefits. …”
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A high-performance main-memory query engine on emerging many-core processors by Cheng, Xuntao

“…Firstly, we revisit the state-of-the-art hash join algorithms and software optimizations experimentally on the many-core processor with die-stacked HBMs. We find that although many findings on database algorithms from existing studies are still valid on the latest many-core architecture, there are major performance issues that existing optimizations are insufficient to address. …”
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Simulations study of fluid-structure interaction of a wind turbine by Zheng, Shuai

“…The motivation of the current investigation is to address the FSI problem of HAWT in the whole flow field analysis with hybrid turbulence model method which is used to find out the flow and structure characteristics of wind turbine in operation under different tip speed ratio (TSR). …”
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Discrete geodesic graphs by Fang, Zheng

“…The discrete geodesic problem aims to find the shortest path and distance between arbitrary points on discrete surfaces. …”
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Association of current Schistosoma mansoni, Schistosoma japonicum, and Schistosoma mekongi infection status and intensity with periportal fibrosis: a systematic review and meta-ana... by Ewuzie, A, Wilburn, L, Thakrar, DB, Cheng, H, Reitzug, F, Roberts, N, Malouf, R, Chami, GF

“…The protocol adhered to PRISMA reporting standards and was prospectively registered on PROSPERO, CRD42022333919.</p> <p><strong>Findings:&nbsp;</strong>Our electronic search retrieved 2853 records, of which 1036 were duplicates. …”

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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Visualization of engine design, simulation and optimization by Wang, Yan Chao

“…With the system, a user may query a certain group of engines or compare multiple engine groups, identify an issue, and find its potential causes. The functionality and usability of EngineQV are evaluated by several case studies. …”
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Extreme learning machine for classification and clustering on multiview data by Chen, Jichao

“…Multiview spectral clustering is one of the most popular kinds of multiview clustering algorithms, which leverages eigendecomposition on the graph Laplacian to find the clusters. Meanwhile, extreme learning machine (ELM) is attracting more and more attention for its promising performance in various real-world applications. …”
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Adversarial robustness of deep reinforcement learning by Qu, Xinghua

“…Although some achievements and interesting findings have been observed, existing adversarial attacks are deemed to be less realistic due to the extensive assumptions utilized, such as white-box policy access and full-state adversary setting. …”
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Neural abstractive summarization: improvements at the sequence-level by Ravaut, Mathieu

“…We study this latter problem in depth, referred to as the middle-curse, on the task of abstractive summarization, and find that it affects performance sharply.…”
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Efficient techniques for subgraph mining and query processing by Lin, Wenqing

“…In this thesis, we study three important problems on subgraph mining and query processing, i.e., frequent subgraph mining, network motif discovery, and generalized subgraph query processing. These problems find numerous applications in real world, whereas they are extremely challenging.% since subgraph isomorphism testing is NP-hard. …”
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Precipitation trend analysis for The Langat River Basin, Selangor, Malaysia by Palizdan, Narges

“…The Discrete Wavelet Transform (DWT) coupled with the Mann-Kendall (MK) test and the sequential MK analysis were utilized in order to find out which time scale are affecting the trends observed in each homogenous region. …”
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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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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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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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