Autor: Su, Jun - Prolib Integro

Skocz do pozycji: 1.

Tytuł:: Symmetry energy investigation with pion production from Sn+Sn systems
Autorzy:: Boretzky, K.
Kim, Y.J.
Atar, L.
Lasko, Paweł
Suzuki, D.
Nakamura, T.
Nishimura, S.
Jhang, G.
Lee, J.W.
Wolter, Hermann
Ahn, D.S.
Inabe, N.
Cozma, Dan
Colonna, Maria
Mohs, Justin
Pelczar, Krzysztof
Barney, J.
Wang, R.
Zhang, Y.
Lynch, W.G.
Sosin, Zbigniew
Isobe, T.
Zhang, Ying-Xun
Ieki, K.
Sumikama, T.
Su, Jun
Kurata-Nishimura, M.
Otsu, H.
Santamaria, C.
Cerizza, G.
Gasparic, I.
Danielewicz, Paweł
Nakatsuka, N.
Elfner, Hannah
Sato, H.
Yennello, S.J.
Fukuda, N.
Scheit, H.
Suzuki, H.
Tsang, M.B.
Sochocka, Anna
Baba, H.
Brzychczyk, Janusz
Chiga, N.
Xu, Jun
Olsen, R.
Lee, H.S.
Shimizu, Y.
Snoch, A.
Zhang, Zhen
Wang, Yong Jia
Ono, Akira
Morfouace, P.
Pawłowski, P.
Rossi, D.
Leifels, Y.
Takeda, H.
Xiao, Z.G.
Hong, B.
McIntosh, A.B.
Łukasik, J.
Simon, H.
Yurkon, J.
Kondo, Y.
Sakurai, H.
Toernqvist, H.
Horvat, A.
Ikeno, Natsumi
Oliinychenko, Dmytro
Kobayashi, T.
Togano, Y.
Aumann, T.
Tangwancharoen, S.
Ko, Che Ming
Murakami, T.
Estee, J.
Shane, R.
Kaneko, M.
Tsang, C.Y.
Manfredi, J.
Dostawca treści:: Repozytorium Uniwersytetu Jagiellońskiego

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Skocz do pozycji: 2.

Tytuł:: Comparison of methods for correcting outliers in ECG-based biometric identification
Autorzy:: Jun, Su
Szmajda, Miroslaw
Khoma, Volodymyr
Khoma, Yuriy
Sabodashko, Dmytro
Kochan, Orest
Wang, Jinfei
Tematy:: Euclidean distance
autoencoders
outlier correction
ECG signal
human identification
biometrics; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:: https://bibliotekanauki.pl/articles/221531.pdf Link otwiera się w nowym oknie
Opis:: The aim of this paper is to compare the efficiency of various outlier correction methods for ECG signal processing in biometric applications. The main idea is to correct anomalies in various segments of ECG waveform rather than skipping a corrupted ECG heartbeat in order to achieve better statistics. Experiments were performed using a self-collected Lviv Biometric Dataset. This database contains over 1400 records for 95 unique persons. The baseline identification accuracy without any correction is around 86%. After applying the outlier correction the results were improved up to 98% for autoencoder based algorithms and up to 97.1% for sliding Euclidean window. Adding outlier correction stage in the biometric identification process results in increased processing time (up to 20%), however, it is not critical in the most use-cases.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: IL-17A : induced PLET1 expression contributes to tissue repair and colon tumorigenesis
Autorzy:: Blackburn, Clare
Zhao, Junjie
Liu, Caini
Yang, Wen-Pin
Su, Bing
Zhu, Jun
Bulek, Katarzyna
Wang, Xinxin
Hao, Yujun
Chen, Xing
Kalady, Matthew F.
Carman, Julie
Wu, Ling
Zepp, Jarod A.
Huang, Yina H.
Hamilton, Thomas A.
Wang, Zhenghe
Ouyang, Wenjun
Li, Xiaoxia
Dostawca treści:: Repozytorium Uniwersytetu Jagiellońskiego

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Skocz do pozycji: 4.

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Skocz do pozycji: 5.

Tytuł:: Methodological guidance for selecting buffers in greenspace : health studies
Autorzy:: Su, Jason G
Jashni, Mahsa
Feng, Xiaoqi
Amegah, Adeladza Kofi
Bach, Albert
Yang, Bo-Yi
de Hoogh, Kees
Dzhambov, Angel M
Jacquemin, Benedicte
Nawrot, Tim S
Psyllidis, Achilleas
Samuelsson, Karl
Fernandes, Amanda
Knibbs, Luke D
Ibarluzea, Jesús
Hystad, Perry
Jerrett, Michael
Fallah Madvari, Rohollah
Astell-Burt, Thomas
Giannico, Vincenzo
Gouveia, Nelson
Heinrich, Joachim
Pearce, Jamie
Valentin, Antonia
Triguero-Mas, Margarita
Mehrparvar, Amirhooshang
Plusquin, Michelle
Zhao, Tianyu
Helbich, Marco
Bratman, Gregory N
Markevych, Iana
Dadvand, Payam
Yang, Jun
Knobel, Pablo
Miri, Mohammad
Fuertes, Elaine
O'Callaghan-Gordo, Cristina
Labib, S M
Nieuwenhuijsen, Mark J
Hartig, Terry
White, Mathew P
Lertxundi, Aitana
Kogevinas, Manolis
Mitchell, Richard
Zare Sakhvidi, Mohammad Javad
de Vries, Sjerp
James, Peter
van den Bosch, Matilda
Ubalde-Lopez, Mònica
Sanesi, Giovanni
Zhang, Jinguang
Browning, Matthew H E M
Opis:: Greenspace can promote health via diverse pathways. A common approach to assessing greenspace exposure is to estimate vegetation availability within buffers surrounding locations where people reside or spend time. However, no clear framework for informed buffer selection exists, and choices made show considerable heterogeneity, impeding evidence synthesis and causal inference. In this Personal View conducted by an interdisciplinary panel of experts, we aimed to establish a framework for informed buffer selection for epidemiological studies on greenspace. We began by reviewing available approaches for the selection of buffer types, which range from single fixed-location approaches to high-resolution mobility-based activity-space approaches, as well as different buffer sizes. We then summarised the determinants of buffer type and size selection including health outcomes and underlying mechanisms, study population, contextual factors, and data characteristics. Finally, based on these determinants, we developed recommendations for future research. Buffer type and size selection should be hypothesis driven, reflecting presumed greenspace-health mechanisms. Buffer selection should target activity-based approaches where feasible, and multiple buffer sizes should be tested. Overall, the assessment of greenspace exposure should shift from ad-hoc approaches to personalised, multiscale, and context-specific methods. We call for standardising and reporting the rationale for buffer selection to minimise bias and enhance comparability and evidence synthesis across studies.
Dostawca treści:: Repozytorium Uniwersytetu Jagiellońskiego

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Skocz do pozycji: 6.

Tytuł:: Fungal diversity notes 2017-2122 : taxonomic and phylogenetic contributions to freshwater fungi and other fungal taxa
Autorzy:: Bandini, Ditte
Usman, Muhammad
Xiao, Yuanpin
Porcu, Giuseppe
Abeywickrama, Pranami D.
Liu, Jian-Wei
Armand, Alireza
Danteswari, Chalasani
Subramani, Priyadarshini
Casula, Marco
Zhang, Huang
Chen, Li-Jia
Dai, Dong-Qin
Liang, Yu-Shan
Zhao, Hai-Jun
Miller, Steven L.
Dissanayake, Asha J.
Rinaldi, Andrea C.
Wu, Na
Kumar, Shambhu
Martín, María P.
Svantesson, Sten
Kumla, Jaturong
Abdollahzadeh, Jafar
Tennakoon, Danushka S.
Yang, Chun-Lin
Kiss, Levente
Piri Kakihai, Sodabeh
Condé, Thiago O.
Suwannarach, Nakarin
Leonardi, Marco
Cheng, Song-Qi
Kezo, Kezhocuyi
Yu, Fu-Qiang
Shivas, Roger G.
Wang, Fei-Hu
Kabdraisova, Aisulu
Ronikier, Anna
Henkel, Terry W.
Khalid, Abdul Nasir
Yang, Yan-Yan
Gafforov, Yusufjon
Gao, Ying
de Silva, Nimali I.
Mleczko, Piotr
Du, Tian-Ye
Oset, Magdalena
Hyde, Kevin D.
Wen, Ting-Chi
Karunarathna, Samantha C.
Zhang, Jing-Yi
Ren, Guang-Cong
Ma, Jian
Gomdola, Deecksha
Ossowska, Emilia Anna
Yang, Yunhui
Suduri, Leila
Mahadevakumar, Shivannegowda
Mua, Alberto
Mohammadi Hamidi, Leila
Manawasinghe, Ishara Sandeepani
Ronikier, Michał
Li, Yan-Xia
Ferreira, Renato Juciano
Abdel-Wahab, Mohamed A.
Hernandez-Monroy, Abril
Podile, Appa Rao
Liao, Chun-Fang
Aime, M. Catherine
Rossi, Walter
Hashemlou, Esmaeil
Javan-Nikkhah, Mohammad
Lu, Yong-Zhong
Ghosta, Youbert
Jeewon, Rajesh
Gasca-Pineda, Jaime
Senanayake, Indunil Chinthani
Maharachchikumbura, Sajeewa S. N.
Rutkowski, Ryszard
Baseia, Iuri Goulart
Lumyong, Saisamorn
Bundhun, Digvijayini
Liu, Feng
Tian, Xing-Guo
Senwanna, Chanokned
Vaghefi, Niloofar
Gui, Heng
Sun, Ya-Ru
Wei, De-Ping
Chellapan, Naveenkumar
Bashiri, Samaneh
Xu, Rong-Ju
Karpowicz, Filip
Piepenbring, Meike
Chandranayaka, Siddaiah
Kunca, Vladimir
Kukwa, Martin
Han, Li-Su
Shu, Yong-Xin
Chen, Yanpeng
Chaiwan, Napalai
Acharya, Krishnendu
He, Shu-Cheng
Arumugam, Elangovan
de Farias, Antonio Roberto Gomes
Jayawardena, Ruvishika S.
Tan, Yu Pei
Pereira, Olinto L.
Zhao, Qi
Rajwar, Soumyadeep
Leão, Ana F.
Tarafder, Entaj
Velez, Patricia
Murugadoss, Ramesh
Tibpromma, Saowaluck
Sarma, Pullabhotla V. S. R. N.
Sanna, Massimo
Ahmadpour, Abdollah
Kaygusuz, Oğuzhan
Custódio, Fábio A.
Doilom, Mingkwan
Calabon, Mark S.
Singh, Raghvendra
Afshari, Naghmeh
Kosecka, Magdalena
Luo, Zong-Long
Shen, Hong-Wei
Glejdura, Stanislav
Kaliyaperumal, Malarvizhi
Dong, Wei
Vasan, Vigneshwari
Guzow-Krzemińska, Beata
Yang, Yu
Li, Hua
Amirashayeri, Pezhman
Chen, Liu-Huan
Monkai, Jutamart
Tang, Xia
Dostawca treści:: Repozytorium Uniwersytetu Jagiellońskiego

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