Design and implementation of enhanced lightweight memory-based and monostable physical unclonable functions by Zhong, Hui Shu

“…Over the last decade, it has gained a strong foothold in cryptographic key generation, device identification and authentication applications. …”
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Phase measurements based indoor visible light positioning systems by Zhang, Sheng

“…As the GPS signals have severe multi-path effects and strong signal attenuations in indoor buildings, visible light with its line of sight (LOS) property and fewer reflections and diffractions gains advantages in the positioning accuracy over other RF-based techniques.There are several positioning algorithms, the simplest one in structure is the received signal strength (RSS) which has good signal-to-noise ratio (SNR) property, but is not feasible in situations with rotations and intensity disturbance. …”
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中国大陆文化软实力对台湾政治安全的影响 ：以偶像养成类综艺选秀节目为案例分析 = The influence of mainland China’s cultural soft power on Taiwan's political security : a case study on idol survival variety programmes... by 王凯义 Ong, Kai Yi

“…By analysing and examining the development of idol survival variety programmes in Mainland China and Taiwan, specifically “Youth With You (season 2)” and “Dancing Diamond 52” from Mainland China and Taiwan respectively, the paper posits that through the broadcasting of idol survival variety programmes, Mainland China has enhanced her national image and gained greater cultural impact alongside international influences. …”
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A study on open set recognition methods by Sun, Xin

“…A potential solution to address this issue is Open Set Recognition (OSR), which assumes that deficient knowledge exists during the training stage, and aims to not only classify samples of known classes but detect unknown samples during the testing stage. OSR methods are gaining more and more attention these years. Considering that information can only be extracted from known samples, to realize unknown detection, some OSR methods are based on generative models (such as Generative Adversarial Networks (GAN) or Variational Auto-Encoders (VAE)). …”
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Non-newtonian fluids and droplets in microchannels by Huang, Yi

“…With the development of microfluidics, electro-osmotic (EO) driven flow has gained intense research interest as a result of its unique flow profile and the corresponding benefits in its application in the transportation of sensitive samples. …”
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Vision-based patient wellness monitoring using facial cues by Sathyanarayana, Supriya

“…Patient monitoring systems (PMS) are gaining importance considering the increasing demand for wellness monitoring at affordable costs. …”
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Detection of false data injection attacks in smart grid cyber-physical systems by Li, Beibei

“…By issuing fake or biased commands, the attackers anticipate to manipulate the regional electricity prices with the purpose of illicit financial gains. The proposed scheme builds a Dirichlet-based probabilistic model to assess the reputation levels of LAs. …”
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Micropropagation and determination of essential oil components and antimicrobial activities of temu hitam (Curcuma aeruginosa roxb.) by Abdul Aziz, Julia

“…Curcuma aeruginosa Roxb. which belongs to the family Zingiberaceae is one of the oriental herbs that is gaining popularity for its medicinal properties as tonic called ‘Jamu’. …”
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Effectiveness of digital education on communication skills among medical students : systematic review and meta-analysis by the digital health education collaboration by Kyaw, Bhone Myint, Posadzki, Pawel, Paddock, Sophie, Car, Josip, Campbell, James, Car, Lorainne Tudor

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Uncertainties of glacial isostatic adjustment model predictions in North America associated with 3D structure by Li, Tanghua, Wu, Patrick, Wang, Hansheng, Steffen, Holger, Khan, Nicole S., Engelhart, Simon E., Vacchi, Matteo, Shaw, Timothy Adam, Peltier, W. Richard, Horton, Benjamin Peter

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Longitudinal assessment of antibiotic resistance gene profiles in gut microbiomes of infants at risk of eczema by Loo, Evelyn Xiu Ling, Zain, Amanda, Yap, Gaik Chin, Purbojati, Rikky Wenang, Drautz-Moses, Daniela Isabel, Koh, Yanqing Michelle, Chong, Yap Seng, Tan, Kok Hian, Gluckman, Peter D., Yap, Fabian, Eriksson, Johan Gunnar, Tham, Elizabeth, Shek, Lynette Pei-Chi, Kjelleberg, Staffan, Schuster, Stephan Christoph, Banerjee, Ritu, Lee, Bee Wah

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Outcome assessment for out-of-hospital cardiac arrest patients in Singapore and Japan with initial shockable rhythm by Okada, Yohei, Shahidah, Nur, Ng, Yih Yng, Chia, Michael Y. C., Gan, Han Nee, Leong, Benjamin S. H., Mao, Desmond R., Ng, Wei Ming, Irisawa, Taro, Yamada, Tomoki, Nishimura, Tetsuro, Kiguchi, Takeyuki, Kishimoto, Masafumi, Matsuyama, Tasuku, Nishioka, Norihiro, Kiyohara, Kosuke, Kitamura, Tetsuhisa, Iwami, Taku, Ong, Marcus Eng Hock

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Innovation and firm survival: the role of timing, funding, and networks by Gao, Ming

“…There is a large body of literature that provides empirical evidence for the debate regarding the positive and negative links between firms’ innovation and survival. While many studies have discussed how innovation influences firms’ survival, little has been done to explore how this relationship is shaped by other factors. …”
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Predicting glaucoma progression using deep learning framework guided by generative algorithm by Hussain, Shaista, Chua, Jacqueline, Wong, Damon, Lo, Justin, Kadziauskiene, Aiste, Asoklis, Rimvydas, Barbastathis, George, Schmetterer, Leopold, Yong, Liu

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Energy transfer driven brightening of MoS2 by ultrafast polariton relaxation in microcavity MoS2/hBN/WS2 heterostructures by Hu, Zehua, Krisnanda, Tanjung, Fieramosca, Antonio, Zhao, Jiaxin, Sun, Qianlu, Chen, Yuzhong, Liu, Haiyun, Luo, Yuan, Su, Rui, Wang, Junyong, Watanabe, Kenji, Taniguchi, Takashi, Eda, Goki, Wang, Renshaw Xiao, Ghosh, Sanjib, Dini, Kevin, Sanvitto, Daniele, Liew, Timothy Chi Hin, Xiong, Qihua

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High-quality semiconductor fibres via mechanical design by Wang, Zhixun, Wang, Zhe, Li, Dong, Yang, Chunlei, Zhang, Qichong, Chen, Ming, Gao, Huajian, Wei, Lei

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AI is a viable alternative to high throughput screening: a 318-target study by Wallach, Izhar, Bernard, Denzil, Nguyen, Kong, Ho, Gregory, Morrison, Adrian, Stecula, Adrian, Rosnik, Andreana, O’Sullivan, Ann Marie, Davtyan, Aram, Samudio, Ben, Thomas, Bill, Worley, Brad, Butler, Brittany, Laggner, Christian, Thayer, Desiree, Moharreri, Ehsan, Friedland, Greg, Truong, Ha, van den Bedem, Henry, Ng, Ho Leung, Stafford, Kate, Sarangapani, Krishna, Giesler, Kyle, Ngo, Lien, Mysinger, Michael, Ahmed, Mostafa, Anthis, Nicholas J., Henriksen, Niel, Gniewek, Pawel, Eckert, Sam, de Oliveira, Saulo, Suterwala, Shabbir, PrasadPrasad, Srimukh Veccham Krishna, Shek, Stefani, Contreras, Stephanie, Hare, Stephanie, Palazzo, Teresa, O’Brien, Terrence E., Van Grack, Tessa, Williams, Tiffany, Chern, Ting-Rong, Kenyon, Victor, Lee, Andreia H., Cann, Andrew B., Bergman, Bastiaan, Anderson, Brandon M., Cox, Bryan D., Warrington, Jeffrey M., Sorenson, Jon M., Goldenberg, Joshua M., Young, Matthew A., DeHaan, Nicholas, Pemberton, Ryan P., Schroedl, Stefan, Abramyan, Tigran M., Gupta, Tushita, Mysore, Venkatesh, Presser, Adam G., Ferrando, Adolfo A., Andricopulo, Adriano D., Ghosh, Agnidipta, Ayachi, Aicha Gharbi, Mushtaq, Aisha, Shaqra, Ala M., Toh, Alan Kie Leong, Smrcka, Alan V., Ciccia, Alberto, de Oliveira, Aldo Sena, Sverzhinsky, Aleksandr, de Sousa, Alessandra Mara, Agoulnik, Alexander I., Kushnir, Alexander, Freiberg, Alexander N., Statsyuk, Alexander V., Gingras, Alexandre R., Degterev, Alexei, Tomilov, Alexey, Vrielink, Alice, Garaeva, Alisa A., Bryant-Friedrich, Amanda, Caflisch, Amedeo, Patel, Amit K., Rangarajan, Amith Vikram, Matheeussen, An, Battistoni, Andrea, Caporali, Andrea, Chini, Andrea, Ilari, Andrea, Mattevi, Andrea, Foote, Andrea Talbot, Trabocchi, Andrea, Stahl, Andreas, Herr, Andrew B., Berti, Andrew, Freywald, Andrew, Reidenbach, Andrew G., Lam, Andrew, Cuddihy, Andrew R., White, Andrew, Taglialatela, Angelo

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Yeast9: a consensus genome-scale metabolic model for S. cerevisiae curated by the community by Zhang, Chengyu, Sánchez, Benjamín J., Li, Feiran, Cheng, Eiden Wei Quan, Scott, William T., Liebal, Ulf W., Blank, Lars M., Mengers, Hendrik G., Anton, Mihail, Rangel, Albert Tafur, Mendoza, Sebastián N., Zhang, Lixin, Nielsen, Jens, Lu, Hongzhong, Kerkhoven, Eduard J.

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Modeling and optimization of photovoltaic systems under partially shaded and rapidly changing conditions by Jiang, Lian Lian

“…Since the existing methods show either low accuracy in derived parameters of the PV array or too much complexity in their calculation, in Chapter 3, we proposed a Chebyshev functional link neural network (CFLNN) to model the PV module. …”
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Signal processing for cooperative cognitive radio networks by Rabiee, Ramtin

“…For example, cooperative spectrum sensing (CSS), which is suggested to solve the hidden terminal problem, entails two important parameters as the quality of reporting channels (links between secondary users and fusion center) and the number of cooperative users. …”
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