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Here, a composite material comprised of inner ternary TiO 2 /CaTi 4 O 9 /CaTiO 3 nanoparticles and outer reduced graphene oxide (RGO) layer was fabricated and further applied as the photocatalyst for hydrogen production and Cr(VI) reduction. The PL result shows that the intimate interface between RGO and TiO 2 /CaTi 4 O 9 /CaTiO 3 composite can effectively promote the transfer of electrons (e - ), thus reducing its recombination on TiO 2 /CaTi 4 O 9 /CaTiO 3 , which provides much more electrons for H 2 production and the Cr (VI) reduction reactions. A remarkable improvement in H 2 production and Cr (VI) reduction were achieved over TiO 2 /CaTi 4 O 9 /CaTiO 3 modified with RGO. Notably, with optimum RGO content, the 1.0 wt%RGO-TiO 2 /CaTi 4 O 9 /CaTiO 3 showed the best H 2 production performance of 34.78 mmol h−1 g−1, which is 15.09 and 6.86 times higher than TiO 2 and CaTiO 3 , respectively. Moreover, an excellent Cr (VI) reduction rate of 53.79% was also achieved over 1.0 wt%RGO-TiO 2 /CaTi 4 O 9 /CaTiO 3 , which is 4.82 and 5.55 times higher than that of TiO 2 and CaTiO 3 , respectively. • Reduced graphene oxide (RGO) surface-modified TiO 2 /CaTi 4 O 9 /CaTiO 3 composite was synthesized. • The electron transfer to the reduced graphene oxide (RGO) and reduced charge recombination has been investigated. • RGO-TiO 2 /CaTi 4 O 9 /CaTiO 3 composite showed excellent photocatalytic performance in both H 2 production and Cr(VI) reduction. • A dual-Z-scheme was established in the ternary composite. [ABSTRACT FROM AUTHOR]

With the increase in the integration of renewable sources, the home energy management system (HEMS) has become a promising approach to improve grid energy efficiency and relieve network stress. In this context, this paper proposes an optimization dispatching strategy for HEMS to reduce total cost with full consideration of uncertainties, while ensuring the users' comfort. Firstly, a HEMS dispatching model is constructed to reasonably schedule the start/stop time of the dispatchable appliances and energy storage system to minimize the total cost for home users. Besides, this dispatching strategy also controls the switching time of temperature-controlled load such as air conditioning to reduce the energy consumption while maintaining the indoor temperature in a comfortable level. Then, the optimal dispatching problem of HEMS is modeled as a Markov decision process (MDP) and solved by a deep reinforcement learning algorithm called deep deterministic policy gradient. The example results verify the effectiveness and superiority of the proposed method. The energy cost can be effectively reduced by 21.9% at least compared with other benchmarks and the indoor temperature can be well maintained. [ABSTRACT FROM AUTHOR]

Objective To compare genomic copy number variations (CNVs) among different subtypes of breast cancer and analyze specific CNVs in each subtype. Methods AIMS software was used for genotype breast cancer (BasL, Her2, LumA and LumB), and GISTIC2.0 software was used to analyze genome-wide CNVs in tumor tissues from TCGA. We collected and analyzed the information and samples of 324 cases of invasive breast cancer admitted to Jiangmen Central Hospital(JMCH). Fluorescence quantitative PCR was used to detect the CNV of ERBB2, TFDP1, MIR148B, CCND1, MDM2 and MIR139 genes in the tumor tissues, to verify TCGA analysis. Results 13q34 was specifically amplified and 12q13.13 was specifically deleted in BasL-type breast cancer. The 17q12 was specifically amplified in Her2 type. The 12q15 was specifically amplified and 11q13.4 was specifically deleted in LumB type, but LumA type had no specific amplification or deletion of chromosome region. The proportion of TFDP1 amplification or MIR148B deletion in BasL type were 57.8% (TCGA) and 71.4% (JMCH), which were significantly higher than other subtypes (P < 0.001). The proportion of ERBB2 amplification of Her2 type were 55.2% (TCGA) and 86.7% (JMCH), which were significantly higher than other subtypes (P < 0.001). The proportion of LumB type with CCND1 or MDM2 amplification or MIR139 deletion were 47.6% (TCGA) and 61.8% (JMCH), which were significantly higher than other subtypes (P < 0.05). Conclusion At the CNV level of breast cancer, Her2 type is characterized by the amplification of ERBB2, BasL type is characterized by the amplification of TFDP1 or the deletion of MIR148B, LumB type is characterized by the amplification of CCND1 or MDM2 or the deletion of MIR139, but LumA type lacks specific CNV characteristics.

This paper tackles high computational complexity in using Euclidean distance for residential load profiles (RLPs) similarity by proposing a three-stage incremental segmented slope clustering framework. The first two stages involve static clustering, where we obtain typical residential load profiles through piecewise slope clustering. In the third stage, dynamic clustering is performed based on the slope similarity of RLPs. This method enhances clustering performance and reduces computation cost, outperforming various benchmarks, with simulation results confirming the framework's effectiveness. [ABSTRACT FROM AUTHOR]

The elimination of traditional thermal generators and the increase of renewable energy source access reduced the inertia of the power system, and thermostatically controlled loads have the potential to provide ancillary services to the power system. This paper introduces a decentralized control strategy for thermostatically controlled loads (TCLs), which focuses on assisting large-scale TCLs in providing frequency support to power systems while considering energy efficiency ratio and measurement error correction. Initially, the nonlinear relationship between heat flow and TCLs' power is modeled using a polynomial relationship, and the coefficients are determined through a data-driven method to enhance accuracy in TCLs modeling and assess their regulation potential precisely. Subsequently, a decentralized control strategy tailored for power system frequency regulation is developed. To account for measurement errors in TCLs controllers, a measurement error back-correction method is proposed. Simulation examples demonstrate the effectiveness of the proposed control strategy in achieving accurate modeling and control of TCLs and reducing power system frequency fluctuations. [ABSTRACT FROM AUTHOR]