Zobrazeno 1 - 10
of 14 568
pro vyhledávání: '"Saarinen A"'
Publikováno v:
Orthopedic Research and Reviews, Vol Volume 15, Pp 183-189 (2023)
Vivian Reinhold,1 Antti Saarinen,2 Eetu Suominen,2 Stina Syrjänen,3,4 Minna Kankuri-Tammilehto1,5 1Institute of Biomedicine, University of Turku, Turku, Finland; 2Department of Paediatric Orthopaedic Surgery, University of Turku and Turku University
Externí odkaz:
https://doaj.org/article/a62ca340d0e94b348e8d73762dda292f
Autor:
Kabusure, Kabusure M., Piskunen, Petteri, Saarinen, Jarkko J., Linko, Veikko, Hakala, Tommi K.
Here we show how surface-enhanced Raman spectroscopy (SERS) features can be fine-tuned in optically active substrates made of layered materials. To demonstrate this, we used DNA-assisted lithography (DALI) to create substrates with silver bowtie nano
Externí odkaz:
http://arxiv.org/abs/2409.03848
Autor:
Abdurakhimov, Leonid, Adam, Janos, Ahmad, Hasnain, Ahonen, Olli, Algaba, Manuel, Alonso, Guillermo, Bergholm, Ville, Beriwal, Rohit, Beuerle, Matthias, Bockstiegel, Clinton, Calzona, Alessio, Chan, Chun Fai, Cucurachi, Daniele, Dahl, Saga, Davletkaliyev, Rakhim, Fedorets, Olexiy, Frieiro, Alejandro Gomez, Gao, Zheming, Guldmyr, Johan, Guthrie, Andrew, Hassel, Juha, Heimonen, Hermanni, Heinsoo, Johannes, Hiltunen, Tuukka, Holland, Keiran, Hotari, Juho, Hsu, Hao, Huhtala, Antti, Hyyppä, Eric, Hämäläinen, Aleksi, Ikonen, Joni, Inel, Sinan, Janzso, David, Jaakkola, Teemu, Jenei, Mate, Jolin, Shan, Juliusson, Kristinn, Jussila, Jaakko, Khalid, Shabeeb, Kim, Seung-Goo, Koistinen, Miikka, Kokkoniemi, Roope, Komlev, Anton, Ockeloen-Korppi, Caspar, Koskinen, Otto, Kotilahti, Janne, Kuisma, Toivo, Kukushkin, Vladimir, Kumpulainen, Kari, Kuronen, Ilari, Kylmälä, Joonas, Lamponen, Niclas, Lamprich, Julia, Landra, Alessandro, Leib, Martin, Li, Tianyi, Liebermann, Per, Lintunen, Aleksi, Liu, Wei, Luus, Jürgen, Marxer, Fabian, de Griend, Arianne Meijer-van, Mitra, Kunal, Moqadam, Jalil Khatibi, Mrożek, Jakub, Mäkynen, Henrikki, Mäntylä, Janne, Naaranoja, Tiina, Nappi, Francesco, Niemi, Janne, Ortega, Lucas, Palma, Mario, Papič, Miha, Partanen, Matti, Penttilä, Jari, Plyushch, Alexander, Qiu, Wei, Rath, Aniket, Repo, Kari, Riipinen, Tomi, Ritvas, Jussi, Romero, Pedro Figueroa, Ruoho, Jarkko, Räbinä, Jukka, Saarinen, Sampo, Sagar, Indrajeet, Sargsyan, Hayk, Sarsby, Matthew, Savola, Niko, Savytskyi, Mykhailo, Selinmaa, Ville, Smirnov, Pavel, Suárez, Marco Marín, Sundström, Linus, Słupińska, Sandra, Takala, Eelis, Takmakov, Ivan, Tarasinski, Brian, Thapa, Manish, Tiainen, Jukka, Tosto, Francesca, Tuorila, Jani, Valenzuela, Carlos, Vasey, David, Vehmaanperä, Edwin, Vepsäläinen, Antti, Vienamo, Aapo, Vesanen, Panu, Välimaa, Alpo, Wesdorp, Jaap, Wurz, Nicola, Wybo, Elisabeth, Yang, Lily, Yurtalan, Ali
Quantum computing has tremendous potential to overcome some of the fundamental limitations present in classical information processing. Yet, today's technological limitations in the quality and scaling prevent exploiting its full potential. Quantum c
Externí odkaz:
http://arxiv.org/abs/2408.12433
Autor:
Puliti, Stefano, Lines, Emily R., Müllerová, Jana, Frey, Julian, Schindler, Zoe, Straker, Adrian, Allen, Matthew J., Winiwarter, Lukas, Rehush, Nataliia, Hristova, Hristina, Murray, Brent, Calders, Kim, Terryn, Louise, Coops, Nicholas, Höfle, Bernhard, Junttila, Samuli, Krůček, Martin, Krok, Grzegorz, Král, Kamil, Levick, Shaun R., Luck, Linda, Missarov, Azim, Mokroš, Martin, Owen, Harry J. F., Stereńczak, Krzysztof, Pitkänen, Timo P., Puletti, Nicola, Saarinen, Ninni, Hopkinson, Chris, Torresan, Chiara, Tomelleri, Enrico, Weiser, Hannah, Astrup, Rasmus
Proximally-sensed laser scanning offers significant potential for automated forest data capture, but challenges remain in automatically identifying tree species without additional ground data. Deep learning (DL) shows promise for automation, yet prog
Externí odkaz:
http://arxiv.org/abs/2408.06507
Bayesian Additive Regression Trees (BART) is a popular Bayesian non-parametric regression model that is commonly used in causal inference and beyond. Its strong predictive performance is supported by theoretical guarantees that its posterior distribu
Externí odkaz:
http://arxiv.org/abs/2406.19958
Autor:
Hamesse, Charles, Fréville, Timothée, Saarinen, Juha, Vlaminck, Michiel, Luong, Hiep, Haelterman, Rob
Miniaturization of cameras and LiDAR sensors has enabled the development of wearable 3D mapping systems for emergency responders. These systems have the potential to revolutionize response capabilities by providing real-time, high-fidelity maps of dy
Externí odkaz:
http://arxiv.org/abs/2405.03514
We show, assuming PD, that every complete finitely axiomatized second order theory with a countable model is categorical, but that there is, assuming again PD, a complete recursively axiomatized second order theory with a countable model which is non
Externí odkaz:
http://arxiv.org/abs/2405.03428
Autor:
Lv, Zhaoyang, Charron, Nicholas, Moulon, Pierre, Gamino, Alexander, Peng, Cheng, Sweeney, Chris, Miller, Edward, Tang, Huixuan, Meissner, Jeff, Dong, Jing, Somasundaram, Kiran, Pesqueira, Luis, Schwesinger, Mark, Parkhi, Omkar, Gu, Qiao, De Nardi, Renzo, Cheng, Shangyi, Saarinen, Steve, Baiyya, Vijay, Zou, Yuyang, Newcombe, Richard, Engel, Jakob Julian, Pan, Xiaqing, Ren, Carl
We present Aria Everyday Activities (AEA) Dataset, an egocentric multimodal open dataset recorded using Project Aria glasses. AEA contains 143 daily activity sequences recorded by multiple wearers in five geographically diverse indoor locations. Each
Externí odkaz:
http://arxiv.org/abs/2402.13349
Autor:
Chan, Colleen, You, Kisung, Chung, Sunny, Giuffrè, Mauro, Saarinen, Theo, Rajashekar, Niroop, Pu, Yuan, Shin, Yeo Eun, Laine, Loren, Wong, Ambrose, Kizilcec, René, Sekhon, Jasjeet, Shung, Dennis
Applications of large language models (LLMs) like ChatGPT have potential to enhance clinical decision support through conversational interfaces. However, challenges of human-algorithmic interaction and clinician trust are poorly understood. GutGPT, a
Externí odkaz:
http://arxiv.org/abs/2312.10072
Disease gene prioritization assigns scores to genes or proteins according to their likely relevance for a given disease based on a provided set of seed genes. Here, we describe a new algorithm for disease gene prioritization based on continuous-time
Externí odkaz:
http://arxiv.org/abs/2311.05486