Deep Learning Convective Flow Using Conditional Generative Adversarial Networks

We developed a general deep learning framework, FluidGAN, that is capable of learning and predicting time-dependent convective flow coupled with energy transport. FluidGAN is thoroughly data-driven with high speed and accuracy and satisfies the physics of fluid without any prior knowledge of underlying fluid and energy transport physics. FluidGAN also learns the coupling between velocity, pressure and temperature fields. Our framework could be used to learn deterministic multiphysics phenomena where the underlying physical model is complex or unknown

Comprehensive Control of Networked Control Systems with Multistep Delay

In networked control systems with multi-step delay, long time-delay causes vacant sampling and controller design difficulty. In order to solve the above problems, comprehensive control methods are proposed in this paper. Time-delay compensation control and linear-quadratic-Guassian (LQG) optimal control are adopted and the systems switch different controllers between two different states. LQG optimal controller is used with probability 1-α in normal state, which is shown to render the systems mean square exponentially stable. Time-delay compensation controller is used with probability α in abnormal state to compensate vacant sampling and long time-delay. In addition, a buffer window is established at the actuator of the systems to store some history control inputs which are used to estimate the control state of present sampling period under the vacant sampling cases. The comprehensive control methods simplify control design which is easier to be implemented in engineering. The performance of the systems is also improved. Simulation results verify the validity of the proposed theory

Master–slave game-based optimal scheduling of community-integrated energy system by considering incentives for peak-shaving and ladder-type carbon trading

To alleviate the challenges posed by high energy consumption, significant carbon emissions, and conflicting interests among multiple parties in a community-level microgrid, the authors of this study propose a master–slave game-based optimal scheduling strategy for a community-integrated energy system (CIES). First, we analyze the decision variables and revenue-related objectives of each stakeholder in the CIES, and use the results to construct a framework of implementation. Second, we develop a model to incentivize peak regulation and a ladder-type carbon trading model that consider the correlation between the load owing to residential consumers, the load on the regional grid, and the sources of carbon emissions. Third, we propose a master–slave game-based mechanism of interaction and a decision-making model for each party to the game, and show that it has a Stackelberg equilibrium solution by combining genetic algorithms and quadratic programming. The results of evaluations showed that compared with an optimization strategy that considers only the master–slave game, the proposed strategy increased the consumption surplus of the user aggregator by 13.65%, the revenue of the community energy operator by 7.95%, increased the revenue of the energy storage operator, reduced CO2 emissions by 6.10%, and adequately responded to peak-cutting and valley-filling by the power grid company

Upregulation of CD94 on CD8+T Cells in Anterior Chamber-Associated Immune Deviation

<p>Abstract</p> <p>Background</p> <p>CD8⁺regulatory T cells (Treg) have been considered to be involved in a model of ocular-induced tolerance, known as anterior chamber-associated immune deviation (ACAID). The phenotype and characteristics of CD8⁺Treg in ACAID remain only poorly understood. Recent studies have reported that the CD94-Qa-1 system is implicated in the induction of ACAID CD8⁺Treg, but the functions and characteristics of CD8⁺CD94⁺T cells remain unclear.</p> <p>Results</p> <p>Both mRNA and protein of CD94 and NKG2A were markedly up-regulated on splenic CD8⁺T cells of ACAID mice compared with controls. Flow cytometric analysis showed that very few CD8⁺CD94⁺T cells express granzyme B, perforin and Foxp3. CD8⁺CD94⁺T cells, but not CD8⁺CD94^-T cells, magnetically isolated from the spleens of ACAID mice, produced large amounts of TGF-beta1 and exhibited suppressive activity in vitro. Neutralization of TGF-beta1 caused reversal of suppression mediated by CD8⁺CD94⁺T cells.</p> <p>Conclusion</p> <p>CD8⁺CD94⁺T cells from ACAID mice exhibited suppressive activity in association with enhanced expression of TGF-beta1, suggesting that CD8⁺Treg are mainly distributed in CD94⁺T cell subpopulations.</p

Correlation between Insulin Resistance and Thyroid Nodule in Type 2 Diabetes Mellitus

Objective. The present study explored the association between insulin resistance (IR) and the clinical characteristics of thyroid nodules in patients with type 2 diabetes mellitus (T2DM). Methods. All the patients were newly diagnosed with T2DM. 201 patients with thyroid nodule disease and 308 patients without the nodular thyroid disease. The participants were evaluated by relevant examination. Correlation analyses and regression analyses were performed to examine the relationships between the two groups. Results. HOMA-IR values, serum FT4 (free thyroxine) levels, and age were higher in the thyroid nodule group than in the control group. The proportion of women in the thyroid nodule group is greater than the proportion of women in the control group. Logistic regression analysis showed that age, sex, FT4, and HOMA-IR were positive factors for thyroid nodule. The volume and size of the thyroid nodule were positively correlated with HOMA-IR, irrespective of gender. The thyroid nodule volume and size and the TSH (thyroid stimulating hormone) were greater in females than in males, whereas FT3 (free triiodothyronine) was lower in females. Conclusion. IR might be a risk factor for thyroid nodule. Whether alleviating the IR might slow the growth, or diminish the volume and size of the thyroid nodules, is yet to be elucidated

Деградація земель у Калуському районі внаслідок сольового забруднення

Показано, що джерелами деградації ґрунтів внаслідок, їх засолення, є солевідвали Домбровського кар’єру. Основними чинниками, що призводять до деградації є вітрова і водна ерозія. Досліджено, що основну роль в засоленні ґрунтового покриву відіграють процеси дифузії. Встановлено, що площа засолення (деградація) ґрунтів у декілька разів перевищує площу солевідводів.Показано, что источниками деградации почв вследствие их засоления, являются солеотвалы Домбровского карьера. Основными факторами, которые приводят к деградации является ветровая и водная эрозия. Доказано, что основную роль в засолении почвенного покрова играют процессы диффузии. Установлено, что площадь засоления (деградация) почв в несколько раз превышает площадь солеотвалов.In the article is shown that the sources of land degradation occurs because of their salinity and salt piles from Dombrowsky career. The main factors that lead to the degradation are wind and water erosion. It is investigated that the main role in the salinity of soil processes play diffusion. It is established that the area of salinity (degradation) of soil several times salt piles are