Publications by authors named "Kelong Liu"

The achievement of photocatalytic CO and epoxide cycloaddition under mild conditions such as room temperature and atmospheric pressure is important for green chemistry, which can be achieved by developing coordination synergies between catalysts and photosensitizers. In this context, we exploit the use of coordinate bonds to connect pyridine-appended iridium photosensitizers and catalysts for CO cycloaddition, which is systematically demonstrated by H nuclear magnetic resonance titration and X-ray photoelectron spectroscopic measurements. It is shown that the hybrid Ir(Cltpy)/MnCd photocatalytic system with coordination synergy exhibits excellent catalytic performance (yield ≈ 98.

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Carbon lock-in is a major obstacle to transforming carbon-based energy systems toward carbon peaking and neutralization, affecting the green economy. However, its impacts and paths on green development are unclear, and it is difficult to represent carbon lock-in using a single indicator. This study measures five types of carbon lock-ins and their comprehensive effect using the entropy index of 22 indirect indicators in 31 Chinese provinces during 1995-2021.

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Understanding energy-environmental efficiency is important for coordinating economic development and eco-environment protection through energy use; however, vague definitions and conflicting results confuse researchers and policymakers and impact China's high-quality development. After delimiting energy-environmental efficiency, this study employed the intermediate adjustment situation three-stage Slacks-Based Model Data Envelopment Analysis model to explore Chinese provincial energy-environmental efficiencies from 1995 to 2018, and discussed their impacts by regional strategies. The results illustrated that Chinese energy-environmental efficiencies were overestimated, and their national average value dropped from 0.

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Background: Increasing evidences supported the association between long non-coding RNA (lncRNA) and disease free survival in gastric cancer (GC) patients. The purpose of the current study was to construct and verify a noninvasive preoperative predictive tool for disease free survival in GC patients.

Methods: There were 265 and 300 GC patients in model dataset and validation dataset respectively.

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Background: As a serious challenge for public health, the prognosis of gastric cancer patients is still poor. The current study aimed to develop and validate a prognostic signature to predict the overall survival of gastric cancer patients.

Patients And Methods: The dataset in the present study was obtained from The Cancer Genome Atlas database.

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