Design of digital-intensive time-mode data converters based on delay correction utilising a time-to-digital converter by Kong, Junjie

“…Of the two TDCs, the Coarse-Fine TDC has a high resolution of 1.08 ps, and a sampling frequency of 278 MHz and consumes a relatively lower power of 1.8 mW. …”
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Towards haptic intelligence in robots by learning from demonstration by Turlapati Sri Harsha

“…In the first part of this thesis, we build on this latter idea of performing haptic exploration of surfaces with a focus on extracting the geometry of fine features. We propose a novel quantity, haptic mismatch that identifies and refines missing geometric features based on the discrepancy in force feedback from actual interactions with an object. …”
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Investigation on the role of Sb doping on grain growth and properties of solution-processed CuIn(S,Se)2 by Ho, John Chun Wan

“…The resultant film is dense and uniform but has very fine grains which are detrimental to carrier transport. …”
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The IDentif.AI-x pandemic readiness platform: rapid prioritization of optimized COVID-19 combination therapy regimens by Blasiak, Agata, Truong, Anh T. L., Remus, Alexandria, Hooi, Lissa, Seah, Shirley Gek Kheng, Wang, Peter, Chye, De Hoe, Lim, Angeline Pei Chiew, Ng, Kim Tien, Teo, Swee Teng, Tan, Yee-Joo, Allen, David Michael, Chai, Louis Yi Ann, Chng, Wee Joo, Lin, Raymond T. P., Lye, David C., Wong, John Eu-Li, Tan, Gladys Gek-Yen, Chan, Conrad En Zuo, Chow, Edward Kai-Hua, Ho, Dean

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Scope, characteristics, behavior change techniques, and quality of conversational agents for mental health and well-being: systematic assessment of apps by Lin, Xiaowen, Martinengo, Laura, Jabir, Ahmad Ishqi, Ho, Andy Hau Yan, Car, Josip, Atun, Rifat, Tudor Car, Lorainne

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Employment of a high throughput functional assay to define the critical factors that influence vaccine induced cross-variant neutralizing antibodies for SARS-CoV-2 by Gu, Yue, Shunmuganathan, Bhuvaneshwari, Qian, Xinlei, Gupta, Rashi, Tan, Rebecca S. W., Kozma, Mary, Purushotorman, Kiren, Murali, Tanusya M., Tan, Nikki Y. J., Preiser, Peter Rainer, Lescar, Julien, Nasir, Haziq, Somani, Jyoti, Tambyah, Paul A., Smith, Kenneth G. C., Renia, Laurent, Ng, Lisa F. P., Lye, David C., Young, Barnaby E., MacAry, Paul A.

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Ultrastrong exciton-plasmon couplings in WS2 multilayers synthesized with a random multi-singular metasurface at room temperature by Wu, Tingting, Wang, Chongwu, Hu, Guangwei, Wang, Zhixun, Zhao, Jiaxin, Wang, Zhe, Chaykun, Ksenia, Liu, Lin, Chen, Mengxiao, Li, Dong, Zhu, Song, Xiong, Qihua, Shen, Zexiang, Gao, Huajian, Garcia-Vidal, Francisco J., Wei, Lei, Wang, Qi Jie, Luo, Yu

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Correlates of lifestyle patterns among children in Singapore aged 10 years: the growing up in Singapore towards healthy outcomes (GUSTO) study by Tan, Sarah Yi Xuan, Chia, Airu, Tai, Bee Choo, Toh, Jia Ying, Colega, Marjorelee, Padmapriya, Natarajan, Setoh, Peipei, Kee, Michelle Zhi Ling, Yuan, Wen Lun, Lee, Yung Seng, Loo, Benny Kai Guo, Yap, Fabian Kok Peng, Tan, Kok Hian, Godfrey, Keith M., Chong, Yap Seng, Eriksson, Johan, Müller-Riemenschneider, Falk, Chong, Mary Foong-Fong

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Stability improvement and control optimization of isolated two-stage AC-DC-DC converter systems by Feng, Fan

“…The analysis results offer instructive implications to fine-tune the design rules of the DAB converters. …”
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Enhancing tensile and fatigue properties of additively manufactured alloys by post-processing heat treatment by Radhakrishnan, Jayaraj

“…LB-PBF process results in a fine hierarchical microstructure which can impart a simultaneous enhancement of strength and fracture toughness. …”
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Understanding the role of Enterococcus faecalis in polymicrobial wounds by Davient, Bala

“…Since E. faecalis T7SS encodes toxins involved in bacterial competition, but not the MPT and EET systems, I hypothesized that a link between the energy metabolism systems and the T7SS may exist. …”
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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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Uncertainty quantification framework for combined statistical spatial downscaling and temporal disaggregation for climate change impact studies on hydrology by Rajendran Queen Suraajini

“…Thus, the strategies to assist future adaption planning and risk mitigation during extreme flood events need to be developed based on the predicted future climate conditions. Fine spatial and temporal resolutions in climate data are needed to simulate the change in future flood events and to study the climate change impact on hydrology. …”
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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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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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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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