Zobrazeno 1 - 10
of 25 323
pro vyhledávání: '"Hassanzadeh"'
Autor:
Hassanzadeh-Tabrizi S.A.
Publikováno v:
علوم و تکنولوژی پلیمر, Vol 35, Iss 6, Pp 519-527 (2023)
Hypothesis: Due to the special properties of nanomaterials, the production of nanoparticles has received much attention in recent years and various methods have been used to produce these materials. One of the methods is to use polymer structures to
Externí odkaz:
https://doaj.org/article/d31bfda4ed974e7ea924d440f180387b
Autor:
Ghanizadeh Sohrab, Ardabili Farzad Sattari, Kheirandish Mohammad, Rasouli Eshagh, Hassanzadeh Mohammad
Publikováno v:
Organizacija, Vol 55, Iss 3, Pp 214-227 (2022)
Background and purpose: Today’s dynamic environment is increasingly pressuring public organizations to be simultaneously flexible and efficient. The purpose of this study was to examine the mediating role of organizational ambidexterity in the rela
Externí odkaz:
https://doaj.org/article/31d54700c07748d0827aa44dbc2bbc1d
Publikováno v:
Slovak Journal of Civil Engineering, Vol 30, Iss 1, Pp 42-48 (2022)
Very large floating structures (VLFSs) have various applications, such as recreational applications, port facilities, etc. A surge in the population, the advantages of building floating structures compared to traditional methods of land extraction fr
Externí odkaz:
https://doaj.org/article/665aae1333ff4c0987e7c1d8d35e40e3
Autor:
Eslaminejad Touba, Pourshojaei Yaghoub, Naghizadeh Mahmood, Eslami Hoda, Daneshpajouh Mohammad, Hassanzadeh Abdolreza
Publikováno v:
Journal of the Serbian Chemical Society, Vol 87, Iss 10, Pp 1125-1142 (2022)
Iron homeostasis is altered in tumours in response to a perturbation in the expression of iron-dependent proteins. Therefore, iron chelators make cancerous cells more vulnerable to iron deficiency. Compounds having thiosemicarbazide scaffold with the
Externí odkaz:
https://doaj.org/article/26bb327c054248ee8a8fac8194e90736
Autor:
Bai, Fan, Harrigian, Keith, Stremmel, Joel, Hassanzadeh, Hamid, Saeedi, Ardavan, Dredze, Mark
Clinical Question Answering (QA) systems enable doctors to quickly access patient information from electronic health records (EHRs). However, training these systems requires significant annotated data, which is limited due to the expertise needed and
Externí odkaz:
http://arxiv.org/abs/2412.04573
Autor:
Kouzy, Ramez, Attar-Olyaee, Roxanna, Rooney, Michael K., Hassanzadeh, Comron J., Li, Junyi Jessy, Mohamad, Osama
Health-related discussions on social media like Reddit offer valuable insights, but extracting quantitative data from unstructured text is challenging. In this work, we present an adapted framework from QuaLLM into QuaLLM-Health for extracting clinic
Externí odkaz:
http://arxiv.org/abs/2411.17967
Autor:
Sun, Y. Qiang, Hassanzadeh, Pedram, Zand, Mohsen, Chattopadhyay, Ashesh, Weare, Jonathan, Abbot, Dorian S.
Predicting gray swan weather extremes, which are possible but so rare that they are absent from the training dataset, is a major concern for AI weather/climate models. An important open question is whether AI models can extrapolate from weaker weathe
Externí odkaz:
http://arxiv.org/abs/2410.14932
Autor:
Hassanzadeh, S. Hamid
This paper studies algebraic residual intersections in rings with Serre's condition \( S_{s} \). It demonstrates that residual intersections admit free approaches i.e. perfect subideal with the same radical. This fact leads to determining a uniform u
Externí odkaz:
http://arxiv.org/abs/2409.05705
Autor:
Guan, Yifei, Hassanzadeh, Pedram, Schneider, Tapio, Dunbar, Oliver, Huang, Daniel Zhengyu, Wu, Jinlong, Lopez-Gomez, Ignacio
Different approaches to using data-driven methods for subgrid-scale closure modeling have emerged recently. Most of these approaches are data-hungry, and lack interpretability and out-of-distribution generalizability. Here, we use {online} learning t
Externí odkaz:
http://arxiv.org/abs/2409.04985