Zobrazeno 1 - 10
of 1 176
pro vyhledávání: '"P, Bozdağ"'
Autor:
Denolle, M., Tape, C., Bozdağ, E., Wang, Y., Waldhauser, F., Gabriel, A. A., Braunmiller, J., Chow, B., Ding, L., Feng, K. F., Ghosh, A., Groebner, N., Gupta, A., Krauss, Z., McPherson, A., Nagaso, M., Niu, Z., Ni, Y., Orsvuran, R. \", Pavlis, G., Rodriguez-Cardozo, F., Sawi, T., Schliwa, N., Schneller, D., Shi, Q., Thurin, J., Wang, C., Wang, K., Wong, J. W. C., Wolf, S., Yuan, C.
With the rise of data volume and computing power, seismological research requires more advanced skills in data processing, numerical methods, and parallel computing. We present the experience of conducting training workshops over various forms of del
Externí odkaz:
http://arxiv.org/abs/2409.19147
Autor:
Ozdemir, Cagri, Olaimat, Mohammad Al, Vashishath, Yashu, Bozdag, Serdar, Initiative, Alzheimer's Disease Neuroimaging
Developing computational tools for integrative analysis across multiple types of omics data has been of immense importance in cancer molecular biology and precision medicine research. While recent advancements have yielded integrative prediction solu
Externí odkaz:
http://arxiv.org/abs/2401.17612
Autor:
Olaimat, Mohammad Al, Bozdag, Serdar
Motivation: Electronic Health Records (EHR) represent a comprehensive resource of a patient's medical history. EHR are essential for utilizing advanced technologies such as deep learning (DL), enabling healthcare providers to analyze extensive data,
Externí odkaz:
http://arxiv.org/abs/2401.14694
Autor:
Zitnik, Marinka, Li, Michelle M., Wells, Aydin, Glass, Kimberly, Gysi, Deisy Morselli, Krishnan, Arjun, Murali, T. M., Radivojac, Predrag, Roy, Sushmita, Baudot, Anaïs, Bozdag, Serdar, Chen, Danny Z., Cowen, Lenore, Devkota, Kapil, Gitter, Anthony, Gosline, Sara, Gu, Pengfei, Guzzi, Pietro H., Huang, Heng, Jiang, Meng, Kesimoglu, Ziynet Nesibe, Koyuturk, Mehmet, Ma, Jian, Pico, Alexander R., Pržulj, Nataša, Przytycka, Teresa M., Raphael, Benjamin J., Ritz, Anna, Sharan, Roded, Shen, Yang, Singh, Mona, Slonim, Donna K., Tong, Hanghang, Yang, Xinan Holly, Yoon, Byung-Jun, Yu, Haiyuan, Milenković, Tijana
Network biology is an interdisciplinary field bridging computational and biological sciences that has proved pivotal in advancing the understanding of cellular functions and diseases across biological systems and scales. Although the field has been a
Externí odkaz:
http://arxiv.org/abs/2309.08478
Autor:
Selim Zırh, Elham Bahador Zırh, Süleyman Erol, Lale Karakoç Sökmensüer, Gürkan Bozdağ, Sevda Fatma Müftüoğlu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract The Hedgehog signaling pathway plays a crucial role in folliculogenesis; however, the association between FF-MAS oxysterol activity in folliculogenesis and the Hedgehog signaling pathway has not been revealed. The evaluation of FF-MAS activi
Externí odkaz:
https://doaj.org/article/55f8d7a0da144fee904b6e00a4f7a552
Autor:
Day, Thomas C., Zamani-Dahaj, S. Alireza, Bozdag, G. Ozan, Burnetti, Anthony J., Bingham, Emma P., Conlin, Peter L., Ratcliff, William C., Yunker, Peter J.
Many organisms exhibit branching morphologies that twist around each other and become entangled. Entanglement occurs when different objects interlock, creating complex and often irreversible configurations. This physical phenomenon is well-studied in
Externí odkaz:
http://arxiv.org/abs/2306.08070
Publikováno v:
Mediterranean Nursing and Midwifery, Vol 4, Iss 3, Pp 173-180 (2024)
Objective: The aim of this study was to investigate the work stress and burnout levels of neonatal intensive care nurses and the factors affecting them. Method: This descriptive study was conducted with 270 (73%) of 372 neonatal intensive care nurse
Externí odkaz:
https://doaj.org/article/08d18dccf8964a3994e421c056bcc59c
A large number of real-world networks include multiple types of nodes and edges. Graph Neural Network (GNN) emerged as a deep learning framework to generate node and graph embeddings for downstream machine learning tasks. However, popular GNN-based a
Externí odkaz:
http://arxiv.org/abs/2303.16781
Decompressive Craniotomy for Malignant Middle Cerebral Artery Infarction: A Prospective Cohort Study
Publikováno v:
Ahi Evran Medical Journal, Vol 8, Iss 2, Pp 234-241 (2024)
Purpose: For malignant middle cerebral artery (MCA) infarctions, the mortality rate is very high. Although decompressive craniotomy (DC) appears to reduce mortality, the quality of life remains a current topic of debate. We aimed to present the outco
Externí odkaz:
https://doaj.org/article/982415dbf8194da29a2c41c83921b83b
Autor:
Mendinatou Agbetou Houessou, Thierry Adoukonou, Willy Tchuenga Fokom, Nelly Dovoedo, Tayyar Şaşmaz, Fatma Bozdağ, Derya Uluduz, Timothy J. Steiner
Publikováno v:
The Journal of Headache and Pain, Vol 25, Iss 1, Pp 1-9 (2024)
Abstract Background A global schools-based programme within the Global Campaign against Headache is estimating the burden of headache in children (6–11 years) and adolescents (12–17 years), cluster-sampling the world by conducting national studie
Externí odkaz:
https://doaj.org/article/18d11da002bc49cdaa9266bf3fbcf35f