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Przejdź do strony domowej biblioteki Pedagogiczna Biblioteka Wojewódzka im. Komisji Edukacji Narodowej w Lublinie Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaPedagogiczna Biblioteka Wojewódzka im. Komisji Edukacji Narodowej w Lublinie
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Wyświetlanie 1-10 z 45
Tytuł:
Canadian Journal of Zoology vol. 52 (1974)
Paratylenchus robustus n. sp. (Paratylenchinae: Nematoda) from forest soil in Ontario
Autorzy:
Wu, Liang-Yu
Powiązania:
Canadian Journal of Zoology
Opis:
ze zbiorów prywatnych prof. M. Brzeskiego : MBBC147
Dostawca treści:
RCIN - Repozytorium Cyfrowe Instytutów Naukowych
Książka
Tytuł:
S100A4 promotes invasion and angiogenesis in breast cancer MDA-MB-231 cells by upregulating matrix metalloproteinase-13
Autorzy:
Wang, Lin
Wang, Xingang
Liang, Yu
Diao, Xinying
Chen, Qingfeng
Tematy:
S100A4
MMP-13
metastasis
breast cancer
Pokaż więcej
Wydawca:
Polskie Towarzystwo Biochemiczne
Powiązania:
https://bibliotekanauki.pl/articles/1039658.pdf  Link otwiera się w nowym oknie
Opis:
S100A4 is a member of the S100 family of calcium-binding proteins that is directly involved in tumor metastasis. In the present study, we examined the potential role of S100A4 in metastasis in breast cancer and its relation with matrix metalloproteinase-13 (MMP-13). Analysis of 100 breast cancer specimens including 50 with and 50 without lymph node metastasis showed a significant upregulation of S100A4 and MMP-13 expression in metastatic breast cancer tissues. Positive immunoreactivity for S100A4 was associated with MMP-13 expression. Overexpression of S100A4 in the MDA-MB-231 breast cancer cell line upregulated MMP13 expression leading to increased cell migration and angiogenesis. SiRNA-mediated silencing of S100A4 downregulated MMP13 expression and suppressed cell migration and angiogenesis. Moreover, neutralization of MMP-13 activity with a specific antibody blocked cell migration and angiogenesis in MDA-MB-231/S100A4 cells. In vivo siRNA silencing of S100A4 significantly inhibited lung metastasis in transgenic mice. The present results suggest that the S100A4 gene may control the invasive potential of human breast cancer cells by modulating MMP-13 levels, thus regulating metastasis and angiogenesis in breast tumors. S100A4 could therefore be of value as a biomarker of breast cancer progression and a novel therapeutic target for human breast cancer treatment.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Cross-oncopanel study reveals high sensitivity and accuracy with overall analytical performance depending on genomic regions
Autorzy:
Ma, Charles
Supplee, Julianna
Zhang, Sa
Kreil, David Philip
Blomquist, Thomas M.
Tom, Nikola
Xiao, Chunlin
Li, Weihua
LoCoco, Jennifer S.
Jones, Wendell
Megherbi, Dalila B.
Hipp, Jennifer
Horvath, Kyle
Strahl, Maya
Marella, Narasimha
Silla-Castro, Juan Carlos
López, Mario Solís
Qu, Wubin
Liang, Yu
Verma, Suman
Eterovic, Agda Karina
Pirooznia, Mehdi
Pabón-Peña, Carlos
Ghosal, Abhisek
Craig, Daniel J.
Chen, Tao
Hennigan, Brittany
Deveson, Ira W.
Qiu, Fujun
Chang, Chia-Jung
del Pozo, Angela
Tang, Lin-ya
Yip, Shun H.
Duncan, Daniel
Hu, Jianhong
Stetson, Daniel
Shi, Tieliu
Li, Quan-Zhen
Shaknovich, Rita
Chin, Christopher R.
Richmond, Todd A.
Willey, James C.
Bhandari, Ambica
Sebra, Robert
Zhang, Guangliang
Burgess, Daniel
Tichý, Boris
Jarosz, Mirna
Liu, Liang-Chun
Fan, Xiaohui
Szankasi, Philippe
Bushel, Pierre R.
Haseley, Nathan
Gong, Binsheng
Scherer, Andreas
Glenn, Sean
Crawford, Erin
Hong, Huixiao
Martín-Arenas, Rubén
Hung, Li-Yuan
Wirta, Valtteri
Chaubey, Alka
Bao, Wenjun
Li, Zhiguang
Shi, Leming
Zhou, Xiaoyan
Kerkhof, Jennifer
Lader, Eric
Garcia, Elena Vallespin
Chierici, Marco
Xu, Shibei
Li, Dan
Xu, Joshua
Liu, Zhichao
Morrison, Tom
Walker, Kimbley
Tan, Haowen
Mason, Christopher E.
Johann, Donald J.
Łabaj, Paweł
Butler, Daniel J.
Wang, Junwen
Best, Hunter
Ning, Baitang
Parsons, Barbara L.
Arib, Hanane
Thierry-Mieg, Danielle
Lapunzina, Pablo
Blackburn, James
Tao, Yonghui
Wang, Charles
Thomas, David
Zhao, Meiru
Happe, Scott
Cai, Wanshi
Zheng, Yuanting
Stuart, Alan
Shi, Qiang
Sadikovic, Bekim
Giorda, Kristina
Boardman, Lisa
Wen, Zhining
Kusko, Rebecca
Xu, Chang
Raymond, Amelia
Chen, Guangchun
Mittal, Vinay K.
Hang, Xinyi
Meng, Qingchang
Zhang, Yifan
Li, Peng
Wang, Yexun
Thakkar, Shraddha
Thodima, Venkat J.
Wilkins, Katherine
Tong, Weida
Mieczkowski, Piotr A.
Lucas, Anne Bergstrom
Cooley Coleman, Jessica
Liu, Shaoqing
Ringler, Rebecca
Lai, Kevin
Schulze, Egbert
Yu, Ying
Mercer, Timothy
Muzny, Donna
Guan, Meijian
Yang, Mary
Rindler, Paul
Song, Ping
Paweletz, Cloud P.
Wu, Leihong
Bao, Longlong
Kipp, Benjamin
Attwooll, Claire
Wang, Shangzi
Haag, Christine
Smith, Melissa
Thierry-Mieg, Jean
Furlanello, Cesare
Bisgin, Halil
Ying, Jianming
Novoradovskaya, Natalia
Zhang, Zhihong
Babson, Kevin
Close, Devin
Conroy, Jeffrey
Burgher, Blake
Xiao, Wenzhong
Cawley, Simon
Foox, Jonathan
Opis:
Targeted sequencing using oncopanels requires comprehensive assessments of accuracy and detection sensitivity to ensure analytical validity. By employing reference materials characterized by the U.S. Food and Drug Administration-led SEquence Quality Control project phase2 (SEQC2) effort, we perform a cross-platform multi-lab evaluation of eight Pan-Cancer panels to assess best practices for oncopanel sequencing.
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Artykuł
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
Artykuł
Tytuł:
Vision-based biomechanical markerless motion classification
Autorzy:
Liew, Yu Liang
Chin, Jeng Feng
Tematy:
vision
single camera
markerless
stick model
human motion
motion classification
data mining
Pokaż więcej
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Instytut Informatyki Technicznej
Powiązania:
https://bibliotekanauki.pl/articles/2204259.pdf  Link otwiera się w nowym oknie
Opis:
This study used stick model augmentation on single-camera motion video to create a markerless motion classification model of manual operations. All videos were augmented with a stick model composed of keypoints and lines by using the programming model, which later incorporated the COCO dataset, OpenCV and OpenPose modules to estimate the coordinates and body joints. The stick model data included the initial velocity, cumulative velocity, and acceleration for each body joint. The extracted motion vector data were normalized using three different techniques, and the resulting datasets were subjected to eight classifiers. The experiment involved four distinct motion sequences performed by eight participants. The random forest classifier performed the best in terms of accuracy in recorded data classification in its min-max normalized dataset. This classifier also obtained a score of 81.80% for the dataset before random subsampling and a score of 92.37% for the resampled dataset. Meanwhile, the random subsampling method dramatically improved classification accuracy by removing noise data and replacing them with replicated instances to balance the class. This research advances methodological and applied knowledge on the capture and classification of human motion using a single camera view.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Effect of mechanical activation on carbothermic reduction and nitridation of titanomagnetite concentrates
Autorzy:
Wen, Xiaojin
Yu, Wen
Zeng, Danliang
Zhu, Liang Liang
Chen, Jiangan
Tematy:
titanomagnetite concentrates
carbothermic reduction
mechanical activation
titanium nitride
Pokaż więcej
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Powiązania:
https://bibliotekanauki.pl/articles/1446680.pdf  Link otwiera się w nowym oknie
Opis:
The carbothermic reduction and nitridation process of titanomagnetite concentrates with the help of mechanical activation were investigated by particle size analysis, thermodynamic calculation, thermogravimetric analysis, X-ray diffraction analysis, scanning electron microscopy, and energy-dispersive spectroscopy analysis. The thermogravimetric and X-ray diffraction results indicated that either the reduction of iron oxide or the reduction and nitridation of M3O5 to TiN could be promoted significantly with the increase in activation time. The results obtained from scanning electron microscopy and energy-dispersive spectroscopy showed that, when samples were not activated, chunks of and thin M3O5 were derived from the reduction of ilmenite and titanomagnetite. They were severely sintered with impurities to form a dense structure. As a result, M3O5 was difficult to be converted to TiN, especially chunks of M3O5. However, when samples were activated, the sintering degrees of the impurity and M3O5 were mitigated, and the particle size of the iron as a medium for delivering C to M3O5 was decreased in the roasted product. This condition enhanced the diffusion of C to the surface of M3O5. Meanwhile, the bulk of ilmenite was broken in the activation process, which prevented the formation of chunks of M3O5. Thus, the conversion of M3O5 to TiN was promoted.
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-10 z 45

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