Zobrazeno 1 - 10
of 4 428
pro vyhledávání: '"Bingol, A."'
Autor:
Borisyuk, Fedor, Song, Qingquan, Zhou, Mingzhou, Parameswaran, Ganesh, Arun, Madhu, Popuri, Siva, Bingol, Tugrul, Pei, Zhuotao, Lee, Kuang-Hsuan, Zheng, Lu, Shao, Qizhan, Naqvi, Ali, Zhou, Sen, Gupta, Aman
This paper introduces LiNR, LinkedIn's large-scale, GPU-based retrieval system. LiNR supports a billion-sized index on GPU models. We discuss our experiences and challenges in creating scalable, differentiable search indexes using TensorFlow and PyTo
Externí odkaz:
http://arxiv.org/abs/2407.13218
Autor:
Kanellopoulos, Konstantinos, Bostanci, F. Nisa, Olgun, Ataberk, Yaglikci, A. Giray, Yuksel, Ismail Emir, Ghiasi, Nika Mansouri, Bingol, Zulal, Sadrosadati, Mohammad, Mutlu, Onur
The adoption of processing-in-memory (PiM) architectures has been gaining momentum because they provide high performance and low energy consumption by alleviating the data movement bottleneck. Yet, the security of such architectures has not been thor
Externí odkaz:
http://arxiv.org/abs/2404.11284
Autor:
Bingol, Bartu
In this paper, we study possible obstructed deformations of 2-dimensional Galois Representations attached to newforms of weight 2 and level $N > 1$. We provide conditions on the existence of local and global obstructions, and explicit description of
Externí odkaz:
http://arxiv.org/abs/2404.01414
Autor:
İlhami Gulcin, Eda Mehtap Ozden, Muzaffer Mutlu, Ziba Mirzaee, Zeynebe Bingol, Ekrem Köksal, Saleh Alwasel, Ahmet C. Goren
Publikováno v:
Future Journal of Pharmaceutical Sciences, Vol 10, Iss 1, Pp 1-16 (2024)
Abstract Background This study investigated the antidiabetic and antioxidant properties of hemp seed oil using various bioanalytical methods. Furthermore, this study determined the suppressive properties of hemp seed oil on α-amylase, acetylcholines
Externí odkaz:
https://doaj.org/article/ebc34fa751684cefa780cb1c5fe9623f
Publikováno v:
Journal of Orthopaedic Surgery and Research, Vol 19, Iss 1, Pp 1-9 (2024)
Abstract Purpose The posterior cruciate ligament (PCL) is a vital knee stabilizer. While PCL injuries are rare, high-energy traumas can lead to total ruptures, with accompanying injuries requiring surgery. This study aims to investigate the demograph
Externí odkaz:
https://doaj.org/article/e29cbd26c8ad40988372f907853340e2
Publikováno v:
Ebelik ve Sağlık Bilimleri Dergisi, Vol 7, Iss 2, Pp 206-216 (2024)
Objective: The birth experience profoundly changes couples’ lives. The husband's role in the birth experience is to provide emotional and physical support to his wife. However, complex emotions can be experienced in the first births due to uncertai
Externí odkaz:
https://doaj.org/article/3a48005f01a444ba941448711394fce7
Autor:
Izzet Bingol, Saygin Kamaci, Ibrahim Kaya, Ali Aykut Fidanci, Mustafa Okan Ayvali, Naim Ata, M. Mahir Ulgu, Suayip Birinci, Ozgur Ahmet Atay, Alper Kaya
Publikováno v:
BMC Musculoskeletal Disorders, Vol 25, Iss 1, Pp 1-9 (2024)
Abstract Background Concomitant knee injuries, such as meniscal tears, are observed in up to 80% of cases and can have a detrimental impact on outcomes following anterior cruciate ligament reconstruction (ACLR). Over recent decades, there has been a
Externí odkaz:
https://doaj.org/article/84389a19f4c2402b913aa5ec7ec6bbf4
Autor:
Haşim Tuner, Yüksel Kaya, Gülsüm Bingol, Özge Özden, Serkan Ünlü, Emre özmen, Medeni Karaduman, Rabia Çoldur, Enes Alıç, Fatih Öztürk
Publikováno v:
Advances in Interventional Cardiology, Vol 20, Iss 2, Pp 133-138 (2024)
Externí odkaz:
https://doaj.org/article/73f01f464eb54d9e805e3303feb6e10b
Autor:
Haghighi, Fatemeh, Ghosh, Soumitra, Ngu, Hai, Chu, Sarah, Lin, Han, Hejrati, Mohsen, Bingol, Baris, Hashemifar, Somaye
Parkinson's Disease (PD) is the second most common neurodegenerative disease in humans. PD is characterized by the gradual loss of dopaminergic neurons in the Substantia Nigra (SN). Counting the number of dopaminergic neurons in the SN is one of the
Externí odkaz:
http://arxiv.org/abs/2301.08141
Autor:
Barzekar, Hosein, Ngu, Hai, Lin, Han Hui, Hejrati, Mohsen, Valdespino, Steven Ray, Chu, Sarah, Bingol, Baris, Hashemifar, Somaye, Ghosh, Soumitra
Automated segmentation of anatomical sub-regions with high precision has become a necessity to enable the quantification and characterization of cells/ tissues in histology images. Currently, a machine learning model to analyze sub-anatomical regions
Externí odkaz:
http://arxiv.org/abs/2301.02925