98 research outputs found

    Spatial variation in aragonite saturation state and the influencing factors in Jiaozhou Bay, China

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    Both natural processes and human activities affect seawater calcium carbonate saturation state (Ωarag), while the mechanisms are still far from being clearly understood. This study analysed the seawater surface Ωarag during summer and winter in Jiaozhou Bay (JZB), China, based on two cruises observations performed in January and June 2017. The ranges of Ωarag values were 1.55~2.92 in summer and 1.62~2.15 in winter. Regression analyses were conducted to identify the drivers of the change of Ωarag distribution, and then the relative contributions of temperature, mixing processes and biological processes to the spatial differences in Ωarag were evaluated by introducing the difference between total alkalinity (TA) and dissolved inorganic carbon (DIC) as a proxy for Ωarag. The results showed that biological processes were the main factor affecting the spatial differences in Ωarag, with relative contributions of 70% in summer and 50% in winter. The contributions of temperature (25% in summer and 20% in winter) and the mixing processes (5% in summer and 30% in winter) were lower. The increasing urbanization in offshore areas can further worsen acidification, therefore environmental protection in both offshore and onshore is needed

    Center of mass distribution of the Jacobi unitary ensembles:Painleve V, asymptotic expansions

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    In this paper, we study the probability density function, P(c,α,β,n) dc\mathbb{P}(c,\alpha,\beta, n)\,dc, of the center of mass of the finite nn Jacobi unitary ensembles with parameters α >−1\alpha\,>-1 and β>−1\beta >-1; that is the probability that trMn∈(c,c+dc),{\rm tr}M_n\in(c, c+dc), where MnM_n are n×nn\times n matrices drawn from the unitary Jacobi ensembles. We first compute the exponential moment generating function of the linear statistics ∑j=1n f(xj):=∑j=1nxj,\sum_{j=1}^{n}\,f(x_j):=\sum_{j=1}^{n}x_j, denoted by Mf(λ,α,β,n)\mathcal{M}_f(\lambda,\alpha,\beta,n). The weight function associated with the Jacobi unitary ensembles reads xα(1−x)β,  x∈[0,1]x^{\alpha}(1-x)^{\beta},\; x\in [0,1]. The moment generating function is the n×nn\times n Hankel determinant Dn(λ,α,β)D_n(\lambda,\alpha,\beta) generated by the time-evolved Jacobi weight, namely, w(x;λ,α,β)=xα(1−x)β e−λ x, x∈[0,1], α>−1, β>−1w(x;\lambda ,\alpha,\beta )=x^{\alpha}(1-x)^{\beta}\,{\rm e}^{-\lambda\:x},\,x\in[0,1],\,\alpha>-1,\,\beta>-1. We think of λ\lambda as the time variable in the resulting Toda equations. The non-classical polynomials defined by the monomial expansion, Pn(x,λ)=xn+p(n,λ) xn−1+⋯+Pn(0,λ)P_n(x,\lambda)= x^n+ p(n,\lambda)\:x^{n-1}+\dots+P_n(0,\lambda), orthogonal with respect to w(x,λ,α,β)w(x,\lambda,\alpha,\beta ) over [0,1][0,1] play an important role. Taking the time evolution problem studied in Basor, Chen and Ehrhardt (\cite{BasorChenEhrhardt2010}), with some change of variables, we obtain a certain auxiliary variable rn(λ),r_n(\lambda), defined by integral over [0,1][0,1] of the product of the unconventional orthogonal polynomials of degree nn and n−1n-1 and w(x,λ,α,β)/xw(x,\lambda,\alpha,\beta )/x. It is shown that r_n(2\imath\/{\rm e}^{z}) satisfies a Chazy IIII equation. There is another auxiliary variable, denote as Rn(λ),R_n(\lambda), defined by an integral over [0,1][0,1] of the product of two polynomials of degree nn multiplied by w(x,λ)/x.w(x,\lambda)/x. Then Yn(−λ)=1−λ/Rn(λ)Y_n(-\lambda)=1-\lambda/R_n(\lambda) satisfies a particular Painlev\'{e} \uppercase\expandafter{\romannumeral 5}: PV(α2/2P_{\rm V}(\alpha^2/2, −β2/2,2n+α+β+1,1/2) -\beta^2/2, 2n+\alpha+\beta+1,1/2).\\ The σn\sigma_n function defined in terms of the λ p(n,−λ)\lambda\:p(n,-\lambda) plus a translation in λ\lambda is the Jimbo--Miwa--Okamoto σ\sigma-form of Painlev\'{e} \uppercase\expandafter{\romannumeral 5}. In the continuum approximation, treating the collection of eigenvalues as a charged fluid as in the Dyson Coulomb Fluid, gives an approximation for the moment generation function Mf(λ,α,β,n)\mathcal{M}_f(\lambda,\alpha,\beta,n) when nn is sufficiently large. Furthermore, we deduce a new expression of Mf(λ,α,β,n)\mathcal{M}_f(\lambda,\alpha,\beta,n) when nn is finite in terms the σ\sigma function of this the Painlev\'{e} \uppercase\expandafter{\romannumeral 5} An estimate shows that the moment generating function is a function of exponential type and of order nn. From the Paley-Wiener theorem, one deduces that P(c,α,β,n)\mathbb{P}(c,\alpha,\beta,n) has compact support [0,n][0,n]. This result is easily extended to the β\beta ensembles, as long as ww the weight is positive and continuous over $[0,1].

    Luteolin inhibits GPVI-mediated platelet activation, oxidative stress, and thrombosis

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    Introduction: Luteolin inhibits platelet activation and thrombus formation, but the mechanisms are unclear. This study investigated the effects of luteolin on GPVI-mediated platelet activation in vitro and explored the effect of luteolin on thrombosis, coagulation, and platelet production in vivo.Methods: Washed human platelets were used for aggregation, membrane protein expression, ATP, Ca2+, and LDH release, platelet adhesion/spreading, and clot retraction experiments. Washed human platelets were used to detect collagen and convulxin-induced reactive oxygen species production and endogenous antioxidant effects. C57BL/6 male mice were used for ferric chloride-induced mesenteric thrombosis, collagen-epinephrine induced acute pulmonary embolism, tail bleeding, coagulation function, and luteolin toxicity experiments. The interaction between luteolin and GPVI was analyzed using solid phase binding assay and surface plasmon resonance (SPR).Results: Luteolin inhibited collagen- and convulxin-mediated platelet aggregation, adhesion, and release. Luteolin inhibited collagen- and convulxin-induced platelet ROS production and increased platelet endogenous antioxidant capacity. Luteolin reduced convulxin-induced activation of ITAM and MAPK signaling molecules. Molecular docking simulation showed that luteolin forms hydrogen bonds with GPVI. The solid phase binding assay showed that luteolin inhibited the interaction between collagen and GPVI. Surface plasmon resonance showed that luteolin bonded GPVI. Luteolin inhibited integrin αIIbβ3-mediated platelet activation. Luteolin inhibited mesenteric artery thrombosis and collagen- adrenergic-induced pulmonary thrombosis in mice. Luteolin decreased oxidative stress in vivo. Luteolin did not affect coagulation, hemostasis, or platelet production in mice.Discussion: Luteolin may be an effective and safe antiplatelet agent target for GPVI. A new mechanism (decreased oxidative stress) for the anti-platelet activity of luteolin has been identified

    Host Species Influence the Gut Microbiota of Endemic Cold-Water Fish in Upper Yangtze River

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    The fish gut microbiome plays an important role in nutrition absorption and energy metabolism. Studying the gut microbes of cold-water fish is important to understand the dietary adaptation strategies in extreme environments. In this study, the gut samples of Schizothorax wangchiachii (SW, herbivorous), Schizothorax kozlovi (SK, omnivorous), and Percocypris pingi (PP, carnivorous) in the upper Yangtze River were collected, and we sequenced 16S rRNA amplicon to study the potential relationship between gut microbes and host species. The results showed that gut microbial composition and diversity were significantly different between the three cold-water fishes. These fishes had different key taxa in their gut microbes, including bacteria involved in the breakdown of food (e.g., Cetobacterium, Aeromonas, and Clostridium sensu stricto 10). The highest alpha diversity indices (e.g., Chao 1 index) were identified in the herbivore (SW), followed by the carnivore (PP), and the lowest in the omnivore (SK). Non-metric multidimensional scaling (NMDS) results revealed that the gut microbial community of these species was different between host species. The neutral community model (NCM) showed that the microbial community structure of SW was shaped by stochastic processes, and the highest species dispersal was found in SW, followed by PP, and the lowest in SK. The results of niche breadth agreed with these findings. Our results demonstrated that host species influenced the gut microbiome composition, diversity, and microbial community assembly processes of the three cold-water fishes. These findings implied that the variation of gut microbiome composition and function plays a key role in digesting and absorbing nutrients from different foods in cold-water fish

    Assessing effects of afforestation projects in China

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    How Medical Staff Alleviates Job Burnout through Sports Involvement: The Mediating Roles of Health Anxiety and Self-Efficacy

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    In the current healthcare environment, job burnout among medical staff is increasingly evident. Burnout not only affects the mental and physical health and career development of individuals but also affects the quality of care and the doctor–patient relationship. This paper investigates the influence of sports involvement on burnout in medical staff based on the job demands–resources theory, focusing on the mediating role of health anxiety and self-efficacy in the relationship between sports involvement and job burnout. A questionnaire survey was used to collect data from 444 medical staff in public hospitals in Wuhan, China. Structural equation modeling (SEM) with a bootstrapping approach was conducted to test the hypothesis and mediating effects. It was found that health anxiety and self-efficacy played a significant mediating role between sports involvement and job burnout. The results indicate the important role that sports involvement plays in addressing burnout, revealing that decreasing health anxiety and increasing self-efficacy attenuated job burnout. This finding suggests that hospital administrators should not only pay attention to medical staff’s health conditions and improve their enthusiasm for work but also encourage them to become more engaged in sports

    Mechanical Characteristics for Rocks under Different Paths and Unloading Rates under Confining Pressures

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    To investigate mechanical characteristics of rocks under different unloading conditions, triaxial tests are carried out with initial confining pressures of 10, 20, and 30 MPa and unloading rates of 0.05~1 MPa/s in three stress paths. Results show that the increment of axial strain is far less than that of the lateral strain. The unloading rates of confining pressures have less influence on variation of strain and lateral increment in path I. The variation of axial increment strain in the same time is slightly larger than the variation of lateral increment; D-value is influenced by unloading rates of confining pressures in path II. The variation of axial strain increment decreases firstly and then increases with the variation of confining pressures. The relation decreases and then increases with unloading rates increases in path III. The dilatancy angle decreases with initial confining pressures increases. The vary rates of dilatancy angle from initial point of dilatancy angle to peak point of dilatancy angle increase with the unloading rates of confining pressures. In the same rates, the vary rates of dilatancy angle from the initial point of the dilatancy angle to peak point of the dilatancy angle in path I are greater than those in path II

    Hybrid Curriculum Learning for Emotion Recognition in Conversation

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    Emotion recognition in conversation (ERC) aims to detect the emotion label for each utterance. Motivated by recent studies which have proven that feeding training examples in a meaningful order rather than considering them randomly can boost the performance of models, we propose an ERC-oriented hybrid curriculum learning framework. Our framework consists of two curricula: (1) conversation-level curriculum (CC); and (2) utterance-level curriculum (UC). In CC, we construct a difficulty measurer based on "emotion shift" frequency within a conversation, then the conversations are scheduled in an "easy to hard" schema according to the difficulty score returned by the difficulty measurer. For UC, it is implemented from an emotion-similarity perspective, which progressively strengthens the model's ability in identifying the confusing emotions. With the proposed model-agnostic hybrid curriculum learning strategy, we observe significant performance boosts over a wide range of existing ERC models and we are able to achieve new state-of-the-art results on four public ERC datasets.Comment: Accepted by AAAI-202
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