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In order to solve the problem of uneven ammonia injection in selective catalytic reduction (SCR) de-NOx system of coal-fired power plant, a precise ammonia control optimization method was proposed by combining the intelligent feed-forward cascade control technology with the partition control technology. In the intelligent feed-forward process, the improved one-dimensional convolution neural network model with higher prediction accuracy was used to predict the NOx mass concentration at the inlet of the SCR reactor, which was used as the intelligent feed-forward control signal to realize the fast and accurate control of the NOx mass concentration under the whole working condition of the unit. In the partition control process, the single sub area and multi-point synchronous sampling measurement technology and equalization control strategy were combined to realize the precise control of ammonia injection in each partition. The proposed optimization method has been applied to several coal-fired power plants. The operation results show that the precise control of ammonia injection amount is realized under the whole working conditions of the unit. The NOx mass concentration at the outlet section of SCR reactor is uniformly distributed. The ammonia consumption is obviously reduced and the economic benefit is significant.

Ti3C2Tx, as a member of the two-dimensional (2D) MXene family, is subject to severe self-restacking due to van der Waals forces between the surfaces of the nanosheets, which limits its application in supercapacitors. In addition, Ti3C2Tx always stores electrical energy non-Faradaic, resulting in a low specific capacitance about 100 F g–1 in basic electrolytes. In this work, we report conductive bismuth-catecholate metal–organic frameworks (Bi-(HHTP)) with one-dimensional (1D) channels grown on the surfaces of 2D Ti3C2Tx nanosheets (Ti3C2Tx/Bi-(HHTP)) for supercapacitors. In the hybrid structure, conductive Bi-(HHTP) serves not only as the spacers to relieve the self-stacking of Ti3C2Tx nanosheets but also as the active component to provide battery-type capacitance. Meanwhile, Ti3C2Tx nanosheets provide skeletons for the conductive Bi-(HHTP), further enhancing the overall specific capacitance of Ti3C2Tx/Bi-(HHTP). By taking advantage of appropriate porosity, redox activity, and good properties of charge transport of Bi-(HHTP), the specific capacitance of Ti3C2Tx nanosheets is significantly increased. The Ti3C2Tx/Bi-(HHTP) electrode obtained exhibits an impressive specific capacitance of 326 F g–1 at 0.5 A g–1 and a good rate capacity of 52%. Additionally, an asymmetric device is assembled with a Ni-(OH)2 cathode and a Ti3C2Tx/Bi-(HHTP) anode, demonstrating remarkable performance with a maximum specific energy of 22.3 Wh kg–1 and a maximum specific power of 11.2 kW kg–1. This work presents a promising strategy for developing high-performance supercapacitor electrodes based on Ti3C2Tx, offering potential avenues for enhancing performance in energy storage applications. [ABSTRACT FROM AUTHOR]

The advent of smart grid technologies has brought about a paradigm shift in the management and operation of distribution networks, allowing for intricate system information to be encapsulated within semantic network models. These models, while robust, are not immune to faults within their knowledge entities, which can arise from a myriad of issues, potentially leading to verification failures and operational disruptions. Addressing this critical vulnerability, our research delves into the development of a novel fault detection methodology specifically tailored for the knowledge entity variables of semantic networks in distribution networks. In our approach, we first construct a state space equation that models the behavior of knowledge entity variables in the presence of faults. This foundational framework enables us to apply an unknown input observer strategy to effectively detect anomalies within the system. To bolster the fault identification process, we introduce the innovative use of a siamese network, a neural network architecture which is proficient in differentiating between similar datasets. Through simulation scenarios, we demonstrate the efficacy of our proposed fault detection method. [ABSTRACT FROM AUTHOR]

Chemical synthesis of an orthogonally protected hexasaccharide relevant to the reducing‐end half of axinelloside A, a highly sulfated marine lipopolysaccharide, is disclosed. The synthesis features preparation of the scyllo‐inositol unit via a Ferrier‐type‐II rearrangement, construction of the 1,2‐cis‐glycosidic bonds via remote participation, and concise [2+2+2] assembly via Au(I)‐catalyzed glycosylation. [ABSTRACT FROM AUTHOR]

Lung cancer is one of the most common cancers in men. Although many diagnostic and treatment regimens have been followed in the treatment for lung cancer, increasing mortality rate due to lung cancer is depressing and hence requires alternative plant based therapeutics with with less side‐effects. Myrtenol exhibits anti‐inflammatory and antioxidant properties. Hence we intended to study the effect of Myrtenol on B(a)P‐induced lung cancer. Our study showed that B(a)P lowered hematological count, decreased phagocyte and avidity indices, nitroblue tetrazolium (NBT) reduction, levels of immunoglubulins, antioxidant levels, whereas Myrtenol treatment restored them back to normal levels. On the other hand, xenobiotic and liver dysfunction marker enzymes and pro‐inflammatory cytokines were elevated on B(a)P exposure, which retuned back to normal by Myrtenol. This study thus describes the immunomodulatory and antioxidant effects of Myrtenol on B[a]P‐induced immune destruction. [ABSTRACT FROM AUTHOR]

The combination of metal oxides and 2D nanomaterials demonstrated remarkable enhancement in gas sensing performance. In this work, a heterojunction composite of 2D Bi2Se3 nanosheets and 1D MoO3 nanobelts was first synthesized by a simple and low-cost strategy. Significantly, the Bi2Se3/MoO3-2 composite with a mass ratio of 2 : 1 for MoO3 to Bi2Se3 exhibited a pronounced response of 151 to 10 ppm TEA at 240 °C, which was five times higher than that of MoO3. Moreover, the sensor showed excellent selectivity to triethylamine (TEA), long-term stability (96% response retention after 30 days), and a low detection limit of ∼5.5 ppb. The enhanced TEA sensing performance can be attributed to the formation of the n–n heterojunction between Bi2Se3 and MoO3, which provides more active sites for the reaction of TEA molecules and improves the electron carrier transfer from Bi2Se3 to MoO3. This work demonstrates the potential of the Bi2Se3 nanosheet and MoO3 nanobelt composite as an ultrasensitive sensor for TEA detection. [ABSTRACT FROM AUTHOR]