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Full recovery of brines at normal temperature with process-heat-supplied coupled air-carried evaporating separation (ACES) cycle

Conventional air-carried evaporating separation (ACES) technology, to achieve complete separation and recovery of water and salt in brine, tends to necessitate heating air above a critical temperature (typically>90 °C). In this paper, a novel concept of process-heat-supplied and an ACES cycle with this technique is proposed. A comprehensive thermodynamic analytical investigation is conducted. The results indicate that at heat source supply temperature Tsupply of only 45.17 °C, this novel unit is capable of achieving complete separation of water and salt from 5 wt% concentration brine. Meanwhile, thermodynamic mechanism analysis reveals that sufficient process-heat-supplied affords the fluid self-adaptive regulation on the driving potential of heat and mass transfer, thus circumventing traditional heat and mass transfer limitation. Additionally, a solar ACES system with process-heat-supplied incorporating heat pump is further proposed. For this system, theoretical evaporation rate for unit area of solar irradiation me-solar = 2.23 kg/(m2·h), integrated solar utilization efficiency ηi = 188%; while considering overall losses me-solar = 1.41 kg/(m2·h), ηi = 95.2%.

Multi-sectoral efforts are required for decarbonising the building sector: a case in Hong Kong

Decarbonising the building sector involves collaborative efforts from multiple sectors. Previous studies only focused on carbon mitigation within individual measures, impeding the interconnections within various stages, contributing sectors, and measures. We propose an innovative “stage-sector-measure” framework for evaluating the carbon mitigation effects of the building sector and apply it to Hong Kong. Results show carbon emissions of Hong Kong’s building sector will decrease by 84.4% in 2050. Electricity is the most significant contributing sector, accounting for 71.8% of accumulative mitigation effects of Hong Kong’s building sector. Regarding measures, cleaner production of concrete and steel represents 62.9% of mitigation effects in material production stage, while alternative fuel mix and carbon capture and storage account for 42.2–87.7% of those in other stages. By clarifying the relationships among the stages, contributing sectors, and measures, we identify the mitigation mechanism of the building sector and reveal the significance of multi-sectoral efforts in its decarbonisation.

The effect of avatar identity on spontaneous perspective-taking in patients with schizophrenia

Controversy exists regarding whether the spontaneity of altercentric intrusion is impaired in patients with schizophrenia during implicit visual perspective-taking tasks. This study explored the characteristics of spontaneous visual perspective-taking in patients with schizophrenia and the effect of an avatar identity on their perspective-taking. We recruited 65 patients with schizophrenia and 65 healthy participants to complete 4 visual perspective-taking experiments for uncued other-avatar and self-avatar tasks and cued other-avatar and self-avatar tasks. In uncued other-avatar experiments, healthy controls showed a significant reduction in accuracy and an increase in response latency when the number of visible discs differed from that seen by the other-avatar (inconsistent condition), indicating altercentric intrusion. However, patients with schizophrenia did not exhibit this effect. In uncued self-avatar experiments, when the avatar was defined as the participant themselves, patients with schizophrenia did not show spontaneous perspective-taking. However, in cued other-avatar experiments, they showed altercentric intrusion in response latency, and in cued self-avatar experiments, they showed altercentric intrusion in accuracy and response latency. These results suggest that patients with schizophrenia have the tendency to spontaneously adopt the perspective of others, which is predicated on their awareness of the existence of perspectives. In addition, the avatar’s identity as a stranger hinders the spontaneous perspective-taking processes in patients with schizophrenia.

Noise-agnostic quantum error mitigation with data augmented neural models

Quantum error mitigation, a data processing technique for recovering the statistics of target processes from their noisy version, is a crucial task for near-term quantum technologies. Most existing methods require prior knowledge of the noise model or the noise parameters. Deep neural networks have the potential to lift this requirement, but current models require training data produced by ideal processes in the absence of noise. Here we build a neural model that achieves quantum error mitigation without any prior knowledge of the noise and without training on noise-free data. To achieve this feature, we introduce a quantum augmentation technique for error mitigation. Our approach applies to quantum circuits and to the dynamics of many-body and continuous-variable quantum systems, accommodating various types of noise models. We demonstrate its effectiveness by testing it both on simulated noisy circuits and on real quantum hardware.

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