25 research outputs found

    Electrical power output prediction of combined cycle power plants using a recurrent neural network optimized by waterwheel plant algorithm

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    It is difficult to analyze and anticipate the power output of Combined Cycle Power Plants (CCPPs) when considering operational thermal variables such as ambient pressure, vacuum, relative humidity, and temperature. Our data visualization study shows strong non-linearity in the experimental data. We observe that CCPP energy production increases linearly with temperature but not pressure. We offer the Waterwheel Plant Algorithm (WWPA), a unique metaheuristic optimization method, to fine-tune Recurrent Neural Network hyperparameters to improve prediction accuracy. A robust mathematical model for energy production prediction is built and validated using anticipated and experimental data residuals. The residuals’ uniformity above and below the regression line suggests acceptable prediction errors. Our mathematical model has an R-squared value of 0.935 and 0.999 during training and testing, demonstrating its outstanding predictive accuracy. This research provides an accurate way to forecast CCPP energy output, which could improve operational efficiency and resource utilization in these power plants

    AD-linked R47H-TREM2 mutation induces disease-enhancing microglial states via AKT hyperactivation

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    The hemizygous R47H variant of triggering receptor expressed on myeloid cells 2 (TREM2), a microglia-specific gene in the brain, increases risk for late-onset Alzheimer’s disease (AD). Using transcriptomic analysis of single nuclei from brain tissues of patients with AD carrying the R47H mutation or the common variant (CV)–TREM2, we found that R47H-associated microglial subpopulations had enhanced inflammatory signatures reminiscent of previously identified disease-associated microglia (DAM) and hyperactivation of AKT, one of the signaling pathways downstream of TREM2. We established a tauopathy mouse model with heterozygous knock-in of the human TREM2 with the R47H mutation or CV and found that R47H induced and exacerbated TAU-mediated spatial memory deficits in female mice. Single-cell transcriptomic analysis of microglia from these mice also revealed transcriptomic changes induced by R47H that had substantial overlaps with R47H microglia in human AD brains, including robust increases in proinflammatory cytokines, activation of AKT signaling, and elevation of a subset of DAM signatures. Pharmacological AKT inhibition with MK-2206 largely reversed the enhanced inflammatory signatures in primary R47H microglia treated with TAU fibrils. In R47H heterozygous tauopathy mice, MK-2206 treatment abolished a tauopathy-dependent microglial subcluster and rescued tauopathy-induced synapse loss. By uncovering disease-enhancing mechanisms of the R47H mutation conserved in human and mouse, our study supports inhibitors of AKT signaling as a microglial modulating strategy to treat AD

    Diffusion adaptation over networks of particles subject to Brownian fluctuations

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    This work investigates the influence of diffusion adaptation on the behavior of networks of micro-organisms that are subject to Brownian fluctuations in the motion of their constituent agents. The organisms are assumed to share information, usually through chemical signaling. The information may signal the direction of a target (such as a foreign body) towards which the cells need to migrate. The sharing of information enables the nodes to bias the probabilities of their random walks in favor of the desired direction of motion. It is verified that the adaptive diffusion of direction information enhances the foraging and tracking ability of the cells

    Al-Biruni Earth Radius Optimization Based Algorithm for Improving Prediction of Hybrid Solar Desalination System

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    The performance of a hybrid solar desalination system is predicted in this work using an enhanced prediction method based on a supervised machine-learning algorithm. A humidification–dehumidification (HDH) unit and a single-stage flashing evaporation (SSF) unit make up the hybrid solar desalination system. The Al-Biruni Earth Radius (BER) and Particle Swarm Optimization (PSO) algorithms serve as the foundation for the suggested algorithm. Using experimental data, the BER–PSO algorithm is trained and evaluated. The cold fluid and injected air volume flow rates were the algorithms’ inputs, and their outputs were the hot and cold fluids’ outlet temperatures as well as the pressure drop across the heat exchanger. Both the volume mass flow rate of hot fluid and the input temperatures of hot and cold fluids are regarded as constants. The results obtained show the great ability of the proposed BER–PSO method to identify the nonlinear link between operating circumstances and process responses. In addition, compared to the other analyzed models, it offers better statistical performance measures for the prediction of the outlet temperature of hot and cold fluids and pressure drop values

    Correlation of FXIII Val34Leu Polymorphism with Decreased Risk of Myocardial Infarction in Egypt

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    Aim: Factor XIII is a transglutaminase that crosslinks fibrin in the last steps of the coagulation process. A few polymorphic sites have been identified in this gene, one of them being a point mutation (FXIII Val34Leu), leading to an amino acid change of valine to leucine. Several studies were published on the association between FXIII 34Leu allele and a decreased incidence of myocardial infarction (MI) with high controversy results dependent on the population. The aim of our study was to further investigate the possible protective role of the FXIII 34Leu allele polymorphism against acute MI in Egyptian patients. Study Design: Clinical examination by cardiologist specialists, blood test for biochemical markers and DNA genotyping using specific molecular sensing probes in Real Time PCR. Place and Duration of Study: Patients were recruited from consecutive admission to the coronary care unit, Suez Canal University Hospital, Ismailia, Egypt. Material and Methods: Total 107 subjects were recruited and subdivided into two main groups; patients (82) and control group (25). On admission, the following data were fulfilled: age, smoking, history of Diabetes Mellitus (DM) and Hypertension (HTN), family history of MI. Clinical examination: Blood pressure and Body Mass Index calculation were done and for patients a short outcome prognosis was done using left ventricular Ejection Fraction (EF). Routine laboratory investigations for recruited groups including fasting and postprandial glucose level, Triglycerides, total Cholesterol, HDL-C and LDLC were carried out. Factor XIII Val34Leu was genotyped for all the recruited subjects using site specific molecular probes in real time PCR. Results: Obtained data were analyzed using OD and CI values, Pearson correlation coefficient Inter-correlations and Regression analysis model that showed insignificant association between FXIII Val34Leu polymorphism and MI patients. Conclusion: FXIII 34Leu variant has no association with reduced incidence of myocardial infarction in Egyptian patients
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