Publications by authors named "Jiasen Sun"

The issue of whether smart city construction (SCC) can promote urban green development (UGD) is controversial. To address this problem, first, a UGD evaluation index system with four dimensions, namely, green production, green living, green growth, and green ecology, is developed in this study to measure the UGD level. Second, the causal relationship between SCC and UGD is examined by using a double machine learning model.

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CHAC1, an essential regulator of oxidative stress and ferroptosis, is increasingly recognized for its significant roles in these cellular processes and its impact on various human diseases and cancers. This review aims to provide a comprehensive overview of CHAC1's molecular functions, regulatory mechanisms, and effects in different pathological contexts. Specifically, the study objectives are to elucidate the biochemical pathways involving CHAC1, explore its regulatory network, and discuss its implications in disease progression and potential therapeutic strategies.

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Artificial intelligence (AI) has been extensively used as a revolutionary and versatile technology in various fields. However, scholars have not given substantial consideration to the impact of AI on the environment, particularly carbon emission efficiency (CEE). This study adopts the global super-efficiency slacks-based model to evaluate CEE of 30 provinces in China from 2006 to 2019.

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In the epoch of the digital economy, digital finance (DF) has become an indispensable engine driving the high-quality development of the Chinese economy. The issues of how DF can be used to alleviate environmental pressure and how a long-term governance mechanism for carbon emissions reduction be formed have become particularly important. Based on the panel data of five national urban agglomerations in China from 2011 to 2020, this study utilizes the panel double fixed-effects model and chain mediation model to verify the impact mechanism of DF on carbon emissions efficiency (CEE).

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Assessing China's carbon emission efficiency (CEE) and analyzing efficiency state transition trends are necessary to accelerate the promotion of carbon emission reduction and achieve low carbon goals. This study evaluates China's economic and social environments by using the entropy weight method. The CEE of 30 Chinese provinces from 2006 to 2020 is measured using the three-stage slack-based model with an undesirable output.

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Background: Activation of alpha-7 nicotinic acetylcholine receptor (α7nAChR) can inhibit a systemic inflammatory response and preserve intestinal barrier integrity. This study aimed at elucidating the molecular mechanisms by which α7nAChR activation could inhibit intestinal barrier injury and cholestatic liver fibrosis in mice following bile duct ligation (BDL).

Materials And Methods: The intestine-specific heme oxygenase-1 (HO-1) knockout VillinCreHmox1 and control Hmox1 C57BL/6 mice were subjected to the BDL procedure.

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Objectives: Electroacupuncture (EA) at Zusanli (ST36) can attenuate inflammation in different rodent models. However, the therapeutic mechanisms underlying its action in inhibiting intestinal barrier destruction and liver injury in cholestasis mice have not been clarified. This study aimed at investigating whether EA at ST36 could activate the cholinergic anti-inflammatory pathway to inhibit intestinal barrier destruction and liver injury in cholestasis mice.

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This study focuses on the analysis of optimal energy allocation and environmental performance of China's three major urban agglomerations. Specifically, this paper first uses a fixed-input DEA model to obtain the optimal allocation of energy input. Then, an evaluation model based on the optimal allocation of energy input is proposed to evaluate environmental performance.

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The title compound, C(13)H(13)N(2) (+)·I(-), is a derivative of 1-amino-pyridinium iodide. The pyridine and benzene rings are oriented at a dihedral angle of 45.78 (3)°.

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