Zobrazeno 1 - 10
of 283
pro vyhledávání: '"KUANG Xu"'
Publikováno v:
Immunity, Inflammation and Disease, Vol 11, Iss 7, Pp n/a-n/a (2023)
Abstract Introduction Sepsis is characterized by an endotoxin tolerance phenotype that occurs in the stage of infection. Persistent bacterial infection can lead to immune cell exhaustion. Triad3A, an E3 ubiquitin ligase, negatively regulates its acti
Externí odkaz:
https://doaj.org/article/a00b02295d3c4f259d634f2276cd5995
Publikováno v:
Infectious Agents and Cancer, Vol 17, Iss 1, Pp 1-12 (2022)
Abstract Various investigations have expanded the views that tuberculosis is an important risk factor for lung cancer occurrence. Lung cancer originates from chronic inflammation and infection. It is becoming clearer that Mycobacterium tuberculosis (
Externí odkaz:
https://doaj.org/article/684317acb35647e296939f10d236f7d0
Publikováno v:
Entropy, Vol 25, Iss 1, p 100 (2023)
With the increasing demand for high-specific-strength materials for high-temperature applications, particularly in the aerospace field, novel (TiVCrZr)100−xWx (x = 5, 10, 15 and 20) refractory high-entropy alloys (RHEAs) were developed. The phase f
Externí odkaz:
https://doaj.org/article/b491bed9988148458a939c19ea4522aa
Publikováno v:
Entropy, Vol 24, Iss 12, p 1796 (2022)
As a potential candidate for the next generation of high-temperature alloys, refractory high entropy alloys (RHEAs) have excellent mechanical properties and thermal stability, especially for high-temperature applications, where the processing of RHEA
Externí odkaz:
https://doaj.org/article/1c743108be914102bf9f385e52864d2b
Autor:
Kuang, Xu, Mendelson, Gal
Being able to detect service slowdowns is crucial to many operational problems. We study how to use observational congestion data to detect service slowdown in a multi-server system, and in particular, the statistical implications of running adaptive
Externí odkaz:
http://arxiv.org/abs/2401.07305
Real-world applications of contextual bandits often exhibit non-stationarity due to seasonality, serendipity, and evolving social trends. While a number of non-stationary contextual bandit learning algorithms have been proposed in the literature, the
Externí odkaz:
http://arxiv.org/abs/2310.07786
Despite the subject of non-stationary bandit learning having attracted much recent attention, we have yet to identify a formal definition of non-stationarity that can consistently distinguish non-stationary bandits from stationary ones. Prior work ha
Externí odkaz:
http://arxiv.org/abs/2302.12202
We study randomized experiments in a service system when stochastic congestion can arise from temporarily limited supply or excess demand. Such congestion gives rise to cross-unit interference between the waiting customers, and analytic strategies th
Externí odkaz:
http://arxiv.org/abs/2302.12093
Autor:
Kuang Xu, John N. Tsitsiklis
Publikováno v:
Stochastic Systems, Vol 2, Iss 1, Pp 1-66 (2012)
We propose and analyze a multi-server model that captures a performance trade-off between centralized and distributed processing. In our model,a fraction p of an available resource is deployed in a centralized manner (e.g., to serve a most-loaded sta
Externí odkaz:
https://doaj.org/article/df6a96225e89415b9048e8a490b22000
Autor:
Mendelson, Gal, Kuang, Xu
Load balancing across parallel servers is an important class of congestion control problems that arises in service systems. An effective load balancer relies heavily on accurate, real-time congestion information to make routing decisions. However, ob
Externí odkaz:
http://arxiv.org/abs/2206.02410