Zobrazeno 1 - 10
of 25 295
pro vyhledávání: '"Firat A"'
Autor:
Hasan Riza Aydin, Cagri Akin Sekerci, Huseyin Kocakgol, Banu Isbilen Basok, Fevzi Bedir, Ahmet Ozgur Guctas, Firat Akdeniz, Hamit Zafer Aksoy, Mehmet Akif Ramazanoglu, Yiloren Tanidir
Publikováno v:
Archivio Italiano di Urologia e Andrologia (2024)
Objective: The aim of this study was to investigate whether urinary glycosaminoglycans (GAG) levels reflect clinical status in men with lower urinary tract symptoms and if they could be used as a marker in management of overactive bladder (OAB). Me
Externí odkaz:
https://doaj.org/article/7e08c5524f9b4cbca7b7371934005512
Publikováno v:
Journal of Agricultural Sciences, Vol 29, Iss 2, Pp 643-654 (2023)
Energy is one of the most important inputs for pressurized irrigation systems in the world’s agriculture sector. As in all areas of life, energy used in irrigation has become an important research subject for researchers. In studies performed with
Externí odkaz:
https://doaj.org/article/561258380c7f4731a9330a49e84fc10e
Publikováno v:
Turkish Journal of Electrical Power and Energy Systems, Vol 2, Iss 1, Pp 85-93 (2022)
Externí odkaz:
https://doaj.org/article/faf022d08f9c4056862652653c549506
Autor:
Hulya Hanoglu Oral, Pembe Dilara Kecici, Firat Alaturk, Cemil Tolu, Bulent Ekiz, Ahmet Gokkus
Publikováno v:
Animals, Vol 13, Iss 21, p 3322 (2023)
Fifty-eight Karacabey Merino lambs were used to study the effects of feeding system (triticale pasture, oat pasture, or stall-fed), birth type (single or multiple), gender (male or female), and birth year (2016 or 2017) on various carcass and meat qu
Externí odkaz:
https://doaj.org/article/9e9803fda6984f3b882d651c4703bcf1
Autor:
Obrist, Jan, Zamora, Miguel, Zheng, Hehui, Hinchet, Ronan, Ozdemir, Firat, Zarate, Juan, Katzschmann, Robert K., Coros, Stelian
Data-driven methods have shown great potential in solving challenging manipulation tasks, however, their application in the domain of deformable objects has been constrained, in part, by the lack of data. To address this, we propose PokeFlex, a datas
Externí odkaz:
http://arxiv.org/abs/2410.07688
Autor:
Öncel, Fırat, Bethge, Matthias, Ermis, Beyza, Ravanelli, Mirco, Subakan, Cem, Yıldız, Çağatay
In the last decade, the generalization and adaptation abilities of deep learning models were typically evaluated on fixed training and test distributions. Contrary to traditional deep learning, large language models (LLMs) are (i) even more overparam
Externí odkaz:
http://arxiv.org/abs/2410.05581
Autor:
Vodrahalli, Kiran, Ontanon, Santiago, Tripuraneni, Nilesh, Xu, Kelvin, Jain, Sanil, Shivanna, Rakesh, Hui, Jeffrey, Dikkala, Nishanth, Kazemi, Mehran, Fatemi, Bahare, Anil, Rohan, Dyer, Ethan, Shakeri, Siamak, Vij, Roopali, Mehta, Harsh, Ramasesh, Vinay, Le, Quoc, Chi, Ed, Lu, Yifeng, Firat, Orhan, Lazaridou, Angeliki, Lespiau, Jean-Baptiste, Attaluri, Nithya, Olszewska, Kate
We introduce Michelangelo: a minimal, synthetic, and unleaked long-context reasoning evaluation for large language models which is also easy to automatically score. This evaluation is derived via a novel, unifying framework for evaluations over arbit
Externí odkaz:
http://arxiv.org/abs/2409.12640
Publikováno v:
JHEP volume 2024, article number 5 (2024)
We derive an analog of Mirzakhani's recursion relation for hyperbolic string vertices and investigate its implications for closed string field theory. Central to our construction are systolic volumes: the Weil-Petersson volumes of regions in moduli s
Externí odkaz:
http://arxiv.org/abs/2409.02982
Publikováno v:
IEEE Access, Vol 9, Pp 108819-108831 (2021)
Today, there are constant changes in terms of securities in stock markets. In these stock market investments, investors use fundamental analysis tools and indicators very widely. In this way, it is possible to have some knowledge of the situations ex
Externí odkaz:
https://doaj.org/article/045c96c28a8e4007a5a4c806ca11d85d
Autor:
Martin, Joshua, Feldman, Catherine, Siegmann, Eva, Curtis, Tony, Carlson, David, Coskun, Firat, Wood, Daniel, Gonzalez, Raul, Harrison, Robert J., Calder, Alan C.
Publikováno v:
Practice and Experience in Advanced Research Computing 2024 Article no.8
Astrophysical simulations are computation, memory, and thus energy intensive, thereby requiring new hardware advances for progress. Stony Brook University recently expanded its computing cluster "SeaWulf" with an addition of 94 new nodes featuring In
Externí odkaz:
http://arxiv.org/abs/2408.16084