Study on process parameter optimization for electron beam melting additive manufacturing by Wang, Chengcheng

“…The samples fabricated from fine powders (nominal size ~ 20 - 63 μm) exhibit typical columnar-grain microstructure and obvious anisotropy in tensile properties, which are commonly seen in AMed metals and alloys. …”
Get full text

Contact-free motion-robust vital signs monitoring by Zheng, Tianyue

“…To improve the vital signs monitoring under full-scale body movements, this thesis proposes MoRe-Fi, which enables fine-grained monitoring of respiratory waveforms through the use of an IR-UWB radar and deep learning. …”
Get full text

Scaling up parametric human recovery by Cai, Zhongang

“…We leverage Vision Transformers to examine the scaling law of model sizes in EHPS. Additionally, our fine-tuning strategy evolves SMPLer-X into specialist models, further boosting performance and achieving state-of-the-art results on seven benchmarks such as AGORA, UBody, EgoBody, and EHF. …”
Get full text

Investigation of polyoxometalates and nanostructured carbon materials as electrode materials for energy storage applications by Chen, Han-Yi

“…In order to figure out the charge storage and transport mechanism, in-situ V K-edge X-ray absorption fine structure (XAFS) measurements and temperature dependent Chronoamperometry measurements are utilized for Na6[V10O28] LIBs. …”
Get full text
Get full text

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

Get full text

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

Get full text

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

Get full text

A Brewster route to Cherenkov detectors by Lin, Xiao, Hu, Hao, Easo, Sajan, Yang, Yi, Shen, Yichen, Yin, Kezhen, Blago, Michele Piero, Kaminer, Ido, Zhang, Baile, Chen, Hongsheng, Joannopoulos, John, Soljačić, Marin, Luo, Yu

Get full text

Identification of genetic effects underlying type 2 diabetes in South Asian and European populations by Loh, Marie, Zhang, Weihua, Ng, Hong Kiat, Schmid, Katharina, Lamri, Amel, Tong, Lin, Meraj Ahmad, Lee, Jung-Jin, Ng, Maggie C. Y., Petty, Lauren E., Spracklen, Cassandra N., Takeuchi, Fumihiko, Md. Tariqul Islam, Jasmine, Farzana, Kasturiratne, Anuradhani, Muhammad Kibriya, Mohlke, Karen L., Paré, Guillaume, Prasad, Gauri, Mohammad Shahriar, Chee, Miao Ling, de Silva, H. Janaka, Engert, James C., Gerstein, Hertzel C., Mani, K. Radha, Sabanayagam, Charumathi, Vujkovic, Marijana, Wickremasinghe, Ananda R., Wong, Tien Yin, Yajnik, Chittaranjan S., Salim Yusuf, Habibul Ahsan, Bharadwaj, Dwaipayan, Anand, Sonia S., Below, Jennifer E., Boehnke, Michael, Bowden, Donald W., Chandak, Giriraj R., Cheng, Ching-Yu, Kato, Norihiro, Mahajan, Anubha, Sim, Xueling, McCarthy, Mark I., Morris, Andrew P., Kooner, Jaspal S., Saleheen, Danish, Chambers, John C.

“…The loci are enriched for regulatory features, including DNA methylation and gene expression in relevant tissues, and highlight CHMP4B, PDHB, LRIG1 and other genes linked to adiposity and glucose metabolism. A polygenic risk score based on South Asian-derived summary statistics shows ~4-fold higher risk for T2D between the top and bottom quartile. …”
Get full text

Short-wave infrared cavity resonances in a single GeSn nanowire by Kim, Youngmin, Assali, Simone, Joo, Hyo-Jun, Koelling, Sebastian, Chen, Melvina, Luo, Lu, Shi, Xuncheng, Burt, Daniel, Ikonic, Zoran, Nam, Donguk, Moutanabbir, Oussama

Get full text

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

Get full text

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

Get full text

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

Get full text

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

Get full text

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

Get full text

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.

Get full text

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. …”
Get full text

Cell-free hemoglobin mediated oxidative stress is associated with acute kidney injury and renal replacement therapy in severe falciparum malaria: an observational study by Plewes, Katherine, Kingston, Hugh W.F., Ghose, Aniruddha, Maude, Richard J., Herdman, M. Trent, Leopold, Stije J., Ishioka, Haruhiko, Hasan, Md. Mahtab Uddin, Haider, Md. Shafiul, Alam, Shamsul, Piera, Kim A., Charunwatthana, Prakaykaew, Silamut, Kamolrat, Yeo, Tsin Wen, Faiz, Md. Abul, Lee, Sue J., Mukaka, Mavuto, Turner, Gareth D. H., Anstey, Nicholas M., Jackson Roberts II, L., White, Nicholas J., Day, Nicholas P. J., Hossain, Md. Amir, Dondorp, Arjen M.

Get full text
Get full text

Physiological stress responses and meat quality of rabbits subjected to different road transportation and slaughter methods by Khadijah, Nakyinsige

“…This study describes the link between physiological stress responses to transport and slaughter to meat quality using rabbit as a model. …”
Get full text

Effects of nnav1.5 expression modulation on mhc I antigen processing machinery and invasion potential of breast cancer cells by Din, Ahmad Hafiz Murtadha Noor

“…Loss of immune surveillance enables cancer cells to metastasize hence this study is to explore the possible role of nNav1.5 in regulating the expression of immune components, MHC I antigen processing machinery (APM), which is deregulated in breast cancer. Several reports link VGSC and APM in neurons, but the correlation between nNav1.5 and APM in breast cancer is unknown. …”
Get full text