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Human SPLUNC1 can suppress nasopharyngeal carcinoma (NPC) tumor formation; however, the correlation between SPLUNC1expression and NPC patient prognosis has not been reported. In the present study, we used a large-scale sample of 1015 tissue cores to detect SPLUNC1 expression and its association with patient prognosis. SPLUNC1 expression was reduced in NPC(More)
and Applied Analysis 3 ΔA t ,ΔB t ,ΔD t KF t Ea, Eb, Ed , 2.2 where K,Ea, Eb, Ed are the known constant matrices with appropriate dimensions; F t is unknown continuous time-varying matrix function satisfying F t F t ≤ I, for all t ≥ 0. The nominal Σ0 of Σ can be defined as Σ0 : ⎧ ⎪⎨ ⎪⎩ ẋ t − Cẋ t − τ2 Ax t Bx t − τ1 D ∫ t t−h x s ds, t > 0, x t φ t , t ∈(More)
The robust stability of uncertain discrete-time recurrent neural networks with time-varying delay is investigated. By decomposing some connection weight matrices, new Lyapunov-Krasovskii functionals are constructed, and serial new improved stability criteria are derived. These criteria are formulated in the forms of linear matrix inequalities LMIs. Compared(More)
Provision of feed containing arsenic may cause intestinal flora imbalance and consequently, the dysfunction of immunological protection of the cock. To understand the intricate tuning of immune responses in the intestinal tract elicited by subchronic arsenism, a cock model (1-day-old Hy-line cocks) was established by subjecting cocks to different(More)
—This paper studies the mean square exponential synchronization problem of a class of stochastic neutral type chaotic neural networks with mixed delay. On the Basis of Lyapunov stability theory, some sufficient conditions ensuring the mean square exponential synchronization of two identical chaotic neural networks are obtained by using stochastic analysis(More)