Zobrazeno 1 - 10
of 51 685
pro vyhledávání: '"Partridge"'
Publikováno v:
Global Social Challenges Journal, Vol 2, Iss 2 (2023)
To achieve the dual goals of minimising global pollution and meeting diverse demands for environmental justice, energy transitions need to involve not only a shift to renewable energy sources but also the safe decommissioning of older energy infrastr
Externí odkaz:
https://doaj.org/article/0eadd4eb39da4490983e89bbf414592e
Publikováno v:
Clinical, Cosmetic and Investigational Dermatology, Vol Volume 15, Pp 681-690 (2022)
Carlo Di Gregorio,1 Gerd Gauglitz,2 Jackie Partridge3 1Plastic Surgery Unit Clinica Candela, Palermo, Italy; 2Haut- und Laserzentrum im Glockenbachviertel, Munich, Germany; 3The Aesthetic Consultancy, Edinburgh, ScotlandCorrespondence: Carlo Di Grego
Externí odkaz:
https://doaj.org/article/610904ed43d740fa8a29f6322f7303e1
Autor:
Partridge, Brittanie R.
Glioblastoma (GBM) is the most common and deadliest of the malignant primary brain tumors in humans, with a reported 5-year survival rate of only 6.8% despite years of extensive research. Failure to improve local tumor control rates and overall patie
Externí odkaz:
http://hdl.handle.net/10919/112279
Autor:
Morris, Thomas W., Battistelli, Elia, Bustos, Ricardo, Choi, Steve K., Duivenvoorden, Adriaan J., Dunkley, Jo, Dünner, Rolando, Halpern, Mark, Guan, Yilun, van Marrewijk, Joshiwa, Mroczkowski, Tony, Naess, Sigurd, Niemack, Michael D., Page, Lyman A., Partridge, Bruce, Puddu, Roberto, Salatino, Maria, Sifón, Cristóbal, Wang, Yuhan, Wollack, Edward J.
At frequencies below 1\,Hz, fluctuations in atmospheric emission in the Chajnantor region in northern Chile are the primary source of interference for bolometric millimeter-wave observations. This paper focuses on the statistics of these fluctuations
Externí odkaz:
http://arxiv.org/abs/2410.13064
Autor:
Biermann, Emily K., Li, Yaqiong, Naess, Sigurd, Choi, Steve K., Clark, Susan E., Devlin, Mark, Dunkley, Jo, Gallardo, P. A., Guan, Yilun, Foster, Allen, Hasselfield, Matthew, Hervías-Caimapo, Carlos, Hilton, Matt, Hincks, Adam D., Ho, Anna Y. Q., Hood II, John C., Huffenberger, Kevin M., Kosowsky, Arthur, Niemack, Michael D., Orlowski-Scherer, John, Page, Lyman, Partridge, Bruce, Salatino, Maria, Sifón, Cristóbal, Staggs, Suzanne T., Vargas, Cristian, Wollack, Edward J.
We conduct a systematic search for astrophysical transients using data from the Atacama Cosmology Telescope (ACT). The data were taken from 2017 to 2022 in three frequency bands spanning 77 GHz to 277 GHz. In this paper we present a pipeline for tran
Externí odkaz:
http://arxiv.org/abs/2409.08429
Autor:
Farren, Gerrit S., Krolewski, Alex, Qu, Frank J., Ferraro, Simone, Calabrese, Erminia, Dunkley, Jo, Villagra, Carmen Embil, Hill, J. Colin, Kim, Joshua, Madhavacheril, Mathew S., Moodley, Kavilan, Page, Lyman A., Partridge, Bruce, Sehgal, Neelima, Sherwin, Blake D., Sifón, Cristóbal, Staggs, Suzanne T., Van Engelen, Alexander, Wollack, Edward J.
We present a joint analysis of the CMB lensing power spectra measured from the Data Release 6 of the Atacama Cosmology Telescope and Planck PR4, cross-correlations between the ACT and Planck lensing reconstruction and galaxy clustering from unWISE, a
Externí odkaz:
http://arxiv.org/abs/2409.02109
Autor:
Park, Hyun Jin, Agarwal, Dhruuv, Chen, Neng, Sun, Rentao, Partridge, Kurt, Chen, Justin, Zhang, Harry, Zhu, Pai, Bartel, Jacob, Kastner, Kyle, Wang, Gary, Rosenberg, Andrew, Wang, Quan
The keyword spotting (KWS) problem requires large amounts of real speech training data to achieve high accuracy across diverse populations. Utilizing large amounts of text-to-speech (TTS) synthesized data can reduce the cost and time associated with
Externí odkaz:
http://arxiv.org/abs/2408.10463
Autor:
Park, Hyun Jin, Agarwal, Dhruuv, Chen, Neng, Sun, Rentao, Partridge, Kurt, Chen, Justin, Zhang, Harry, Zhu, Pai, Bartel, Jacob, Kastner, Kyle, Wang, Gary, Rosenberg, Andrew, Wang, Quan
This paper explores the use of TTS synthesized training data for KWS (keyword spotting) task while minimizing development cost and time. Keyword spotting models require a huge amount of training data to be accurate, and obtaining such training data c
Externí odkaz:
http://arxiv.org/abs/2407.18879
One of the challenges in developing a high quality custom keyword spotting (KWS) model is the lengthy and expensive process of collecting training data covering a wide range of languages, phrases and speaking styles. We introduce Synth4Kws - a framew
Externí odkaz:
http://arxiv.org/abs/2407.16840
Autor:
SuperCDMS Collaboration, Albakry, M. F., Alkhatib, I., Alonso-González, D., Amaral, D. W. P., Anczarski, J., Aralis, T., Aramaki, T., Arnquist, I. J., Langroudy, I. Ataee, Azadbakht, E., Bathurst, C., Bhattacharyya, R., Biffl, A. J., Brink, P. L., Buchanan, M., Bunker, R., Cabrera, B., Calkins, R., Cameron, R. A., Cartaro, C., Cerdeño, D. G., Chang, Y. -Y., Chaudhuri, M., Chen, J. -H., Chen, R., Chott, N., Cooley, J., Coombes, H., Cushman, P., Cyna, R., Das, S., De Brienne, F., Dharani, S., di Vacri, M. L., Diamond, M. D., Elwan, M., Fascione, E., Figueroa-Feliciano, E., Fouts, K., Fritts, M., Germond, R., Ghaith, M., Golwala, S. R., Hall, J., Harms, S. A. S., Harris, K., Hassan, N., Hong, Z., Hoppe, E. W., Hsu, L., Huber, M. E., Iyer, V., Jardin, D., Kashyap, V. K. S., Keller, S. T. D., Kelsey, M. H., Kennard, K. T., Kubik, A., Kurinsky, N. A., Lee, M., Leyva, J., Liu, J., Liu, Y., Loer, B., Asamar, E. Lopez, Lukens, P., MacFarlane, D. B., Mahapatra, R., Mammo, J. S., Mast, N., Mayer, A. J., Theenhausen, H. Meyer zu, Michaud, É., Michielin, E., Mirabolfathi, N., Mirzakhani, M., Mohanty, B., Monteiro, D., Nelson, J., Neog, H., Novati, V., Orrell, J. L., Osborne, M. D., Oser, S. M., Pandey, L., Pandey, S., Partridge, R., Pedreros, D. S., Peng, W., Perna, L., Perry, W. L., Podviianiuk, R., Poudel, S. S., Pradeep, A., Pyle, M., Rau, W., Reid, E., Ren, R., Reynolds, T., Rios, M., Roberts, A., Robinson, A. E., Ryan, J. L., Saab, T., Sadek, D., Sadoulet, B., Sahoo, S. P., Saikia, I., Sander, J., Sattari, A., Schmidt, B., Schnee, R. W., Scorza, S., Serfass, B., Simchony, A., Sincavage, D. J., Sinervo, P., Street, J., Sun, H., Tanner, E., Terry, G. D., Toback, D., Verma, S., Villano, A. N., von Krosigk, B., Watkins, S. L., Wen, O., Williams, Z., Wilson, M. J., Winchell, J., Wykoff, K., Yellin, S., Young, B. A., Yu, T. C., Zatschler, B., Zatschler, S., Zaytsev, A., Zhang, E., Zheng, L., Zuniga, A., Zurowski, M. J.
This article presents constraints on dark-matter-electron interactions obtained from the first underground data-taking campaign with multiple SuperCDMS HVeV detectors operated in the same housing. An exposure of 7.63 g-days is used to set upper limit
Externí odkaz:
http://arxiv.org/abs/2407.08085