This paper will discuss the design and construction of BESIII [1], which is designed to study physics in the τ-charm energy region utilizing the new high luminosity BEPCII double ring e + ecollider [2]. The expected performance will be given based on Monte Carlo simulations and results of cosmic ray and beam tests. In BESIII, tracking and momentum measurements for charged particles are made by a cylindrical multilayer drift chamber in a 1 T superconducting solenoid. Charged particles are identified with a time-of-flight system based on plastic scintillators in conjunction with dE/dx (energy loss per unit pathlength) measurements in the drift chamber. Energies of electromagnetic showers are measured by a CsI(Tl) crystal calorimeter located inside the solenoid magnet. Muons are identified by arrays of resistive plate chambers in the steel magnetic flux return. The level 1 trigger system, Data Acquisition system and the event filter system based on networked computers will also be described.

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Chemical‐looping technology provides a versatile platform to convert methane in a clean and efficient manner, achieving CO2 capture and generation of syngas/pure H2 without additional separation processes (e.g., separation of CO2 from N2‐diluted exhaust gases, separation of O2 from air, and separation of H2 from syngas) using a two‐step redox concept through recyclable oxygen storage materials (named oxygen carriers) as intermediates. The design and elaboration of appropriate oxygen carriers is a key issue to effectively optimize the products and energy distribution. Various oxygen storage materials (e.g., Fe‐based, Ni‐based, Cu‐based, Ce‐based, perovskite‐type oxides and their mixed oxides) have been widely investigated with the corresponding chemical‐looping process. This work aims to comprehensively describe the advances of chemical‐looping conversion of methane, including chemical‐looping combustion, partial oxidation, steam reforming, and dry reforming technologies. Specifically, this Review focuses on the development of oxygen carriers, including the effects of composition, micro and macro structures, morphology, and supports on the performance for selective conversion of methane. The advances in understanding the reaction mechanisms between methane and different oxygen carriers in chemical‐looping processes are also discussed. Finally, future research directions for developing high‐performance oxygen carriers are proposed.

Electric load forecasting is an important issue for a power utility, associated with the management of daily operations such as energy transfer scheduling, unit commitment, and load dispatch. Inspired by strong non-linear learning capability of support vector regression (SVR), this paper presents a SVR model hybridized with the empirical mode decomposition (EMD) method and auto regression (AR) for electric load forecasting. The electric load data of the New South Wales (Australia) market are employed for comparing the forecasting performances of different forecasting models. The results confirm the validity of the idea that the proposed model can simultaneously provide forecasting with good accuracy and interpretability.

An oxygen-storage material with high reducibility and redox stability was obtained by anchoring isolated CeO2 nanoparticles on Fe2O3 rods after a high-temperature thermal treatment.