Publications by authors named "Chen Jinglong"

Eggs serve as a vital source of high-quality protein and lipids in the human diet, contributing significantly to nutritional intake; however, the relation between egg intake and health risks has been controversial. This study aimed to assess the relationship between egg intake and obesity and the effects of the various nutrients in eggs on obesity were separately investigated. This review involved searching Scopus, PubMed, Google Scholar for relevant articles from 2002 to 2022.

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This study aimed to investigate the role of the neutrophil-to-lymphocyte ratio (NLR) and prognostic nutritional index (PNI) in unresectable hepatocellular carcinoma (HCC) patients treated with tyrosine kinase inhibitors (TKIs) and immune checkpoint inhibitors (ICIs). The optical cutoff values of the NLR and PNI were determined via time-dependent receiver operating characteristic curve analysis. The associations between overall survival (OS) and various potential risk factors were analyzed.

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To achieve the ambitious carbon neutrality goal by 2060, the Chinese government has implemented a series of carbon neutrality policies. These policy documents are pivotal in facilitating the examination of policy substance, the scrutiny of policy evolution, and the dissection of the policy instruments involved. This study develops an analytical framework for assessing carbon neutrality through policy documents, applying text mining and network analysis to probe the intricacies of policy topics, interagency collaboration, and diffusion dynamics.

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Introduction: This study aims to use machine learning to conduct in-depth analysis of key factors affecting the recurrence of HCC patients with high preoperative systemic immune-inflammation index (SII) levels after receiving ablation treatment, and based on this, construct a nomogram model for predicting recurrence-free survival (RFS) of patients.

Methods: This study included clinical data of 505 HCC patients who underwent ablation therapy at Beijing You'an Hospital from January 2014 to January 2020, and accepted 65 HCC patients with high SII levels from Beijing Ditan Hospital as an external validation cohort. 505 patients from Beijing You'an Hospital were divided into low SII and high SII groups based on the optimal cutoff value of SII scores.

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Aims: Extended fasting-postprandial switch intermitting time has been shown to affect Alzheimer's disease (AD). Few studies have investigated the cerebral perfusion response to fasting-postprandial metabolic switching (FMS) in AD patients. We aimed to evaluate the cerebral perfusion response to FMS in AD patients.

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Article Synopsis
  • Effective anomaly detection (AD) for liquid rocket engines (LRE) is vital for safety but current methods fail to utilize the inherent relationships in data and prior knowledge of mechanical systems.
  • The proposed framework enhances system-level AD by segmenting data samples to maximize the diversity of learned normal features and using temporal convolution with graph attention to analyze the multivariate time series.
  • Testing on two real multi-sensor LRE datasets shows the method's effectiveness and potential in improving system-level AD.
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This study investigated the ameliorating effects of high-energy and high-amino acid (HEHA) diets on heat stress (HS) in yellow-feathered broilers. Broilers aged 35 d were randomly assigned to 3 groups: control and HS groups fed the basic normal diet, and the HEHA group fed the HEHA diet (basal diet + 100 kcal/kg AME + 15 % DAAs). The HS and HEHA groups were exposed to cyclic HS (30 ± 1 to 34 ± 1 ℃) for 2 wk, while the control group was maintained at 26 ± 1 ℃.

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Background And Aim: Sarcopenia has gained considerable attention in the context of hepatocellular carcinoma, as it has been correlated with a poorer prognosis among patients undergoing sorafenib or lenvatinib treatment for hepatocellular carcinoma (HCC). The clinical significance of sarcopenia in first-line advanced HCC patients treated with lenvatinib and programmed death-1 (PD-1) inhibitors needs to be clarified.

Methods: Sarcopenia was diagnosed using CT (Computed tomography) or MRI (Magnetic Resonance Imaging), with the psoas muscle index (PMI) as the surrogate marker.

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Article Synopsis
  • - We created a new method for selectively forming complex olefins using a cyclic intermediate that involves a specific movement of phenyl groups.
  • - Our approach also includes a general technique for producing deuterated trisubstituted alkenes from an affordable deuteration source, achieving high rates of deuteration.
  • - This process showcases a unique reaction mechanism, high selectivity for stereochemistry, and yields deuterated alkenes with impressive deuteration ratios.
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Emerging evidences suggest that cognitive deficits in individuals with mild cognitive impairment (MCI) are associated with disruptions in brain functional connectivity (FC). This systematic review and meta-analysis aimed to comprehensively evaluate alterations in FC between MCI individuals and healthy control (HC) using functional near-infrared spectroscopy (fNIRS). Thirteen studies were included in qualitative analysis, with two studies synthesized for quantitative meta-analysis.

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Alkynes are readily available and multifunctional synthetic intermediates, but their 1,1-oxofunctionalization remains challenging. Herein, we report a 1,1-oxycarbonation of terminal alkynes to construct ketones through sequential borylation, 1,2-carbon migration, and oxidation with Oxone as the proton source and oxidant. The synthetic potential of this transformation is showcased by the broad functional groups, scale-up synthesis, and diverse product transformations.

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The widespread deployment of residential distributed photovoltaic (RDPV) remains complex and challenging due to photovoltaic output intermittency, fluctuating electricity demand, and rising electric vehicle (EV) adoption. Simultaneously, the energy storage capabilities of EVs and residential demand response (DR) offer solutions for optimizing RDPV applications. This study proposes an integrated RDPV capacity planning model by encompassing EV charging, vehicle-to-home, and flexible load DR.

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Background: Hepatocellular carcinoma (HCC) patients complicated with portal vein tumor thrombus (PVTT) exhibit poor prognoses and treatment responses.

Aim: To investigate efficacies and safety of the combination of PD-1 inhibitor, transcatheter arterial chemoembolization (TACE) and Lenvatinib in HCC subjects comorbid with PVTT.

Methods: From January 2019 to December 2020, HCC patients with PVTT types I-IV were retrospectively enrolled at Beijing Ditan Hospital.

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Background: This study examined the association between chest muscles and chronic obstructive pulmonary disease (COPD) and the relationship between chest muscle areas and acute exacerbations of COPD (AECOPD).

Methods: There were 168 subjects in the non-COPD group and 101 patients in the COPD group. The respiratory and accessory respiratory muscle areas were obtained using 3D Slicer software to analysis the imaging of  computed tomography (CT).

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In the detection of slipping anomalies in viscoelastic sandwich cylindrical structures (VSCS), conventional methods may encounter challenges due to the extremely rare and weak nature of slipping signals. This study focuses on normal signals and introduces unsupervised graph representation learning (UGRL) with discriminative embedding similarity for VSCS's detection. UGRL involves data preprocessing, model embedding, and matrix reconstructing.

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Organoboron compounds are environmentally benign, have low toxicity and are versatile reagents that are extensively employed in organic synthesis, especially in the realm of asymmetric synthesis. The last several decades have witnessed a tremendous outburst of asymmetric reactions based on various organoboron compounds. Among them, 1,1-diborylalkanes, which contain two boryl groups at the same sp-carbon atom, are regarded as some of the most versatile and powerful reagents for their unique structure and unusual reaction mode in organic synthesis.

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Background: Recently, combination therapy has shown a better trend towards improved tumour response and survival outcomes than monotherapy in patients with hepatocellular carcinoma (HCC). However, research on triple therapy [lenvatinib + sintilimab + transarterial chemoembolization (TACE)] as a first-line treatment for advanced HCC is limited.

Aim: To evaluate the safety and efficacy of triple therapy as a first-line treatment for advanced HCC.

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Following the publication of this paper, it was drawn to the Editor's attention by a concerned reader that certain of the western blotting data shown in Figs. 3B and 9, and the migration assay data shown in Fig. 6C, were strikingly similar to data that had already appeared in other publications written by different authors at different research institutes.

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PCD is a rare disease characterized by productive cough, rhinitis, and recurrent infections of the upper and lower airways. Because the diagnosis of PCD is often delayed, patients receive more antibiotics, experience a heavier financial burden, and have a worse prognosis; thus, it is very important to identify the pathogeny and use the correct antibiotic. In this large single-center study of PCD microbiota, we identified an outline of the bacterial microbes from the respiratory tract; furthermore, we found that the microbiota diversity in pediatric sputum was richer than that in pediatric BALF through sequencing, indicating a heterogeneous community structure.

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Background And Aims: Hepatocellular carcinoma (HCC) with portal vein tumor thrombus (PVTT) predicts a poor prognosis. The aim of the present study was to evaluate the efficacy and safety of using lenvatinib and camrelizumab combined with transarterial chemoembolization (TACE) to treat HCC with PVTT.

Methods: This was a single-arm, open-label, multicenter, and prospective study.

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The Internet of Things (IoT) is crucial in developing next-generation high-speed railways (HSRs). HSR IoT enables intelligent diagnosis of trains using multi-sensor data, which is critical for maintaining high speeds and ensuring passenger safety. Graph neural network (GNN)-based methods have gained popularity in HSR IoT research due to the ability to represent the sensor network as intuitive graphs.

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Background: Lenvatinib is a first-line agent for advanced hepatocellular carcinoma (HCC), but individual responses to treatment are highly heterogeneous. The aim of this study was to investigate the clinical parameters that influence the efficacy of Lenvatinib and to develop a prognostic model.

Methods: We retrospectively enrolled 333 Lenvatinib-treated patients with HCC with a median age of 57 years.

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α-Haloboronates have a wide range of applications in organic chemistry as synthetic synthons; however, traditional synthetic methods of α-haloboronates are harsh and complicated. Herein, we used BuLi as the nucleophilic reagent to attack the boron atom in diborylalkanes to form tetracoordinate boron species and successfully achieved α-chloroboronates and α-bromoboronates with readily accessible electrophilic halogen reagents (NCS and NBS). The reaction is transition-metal-free and features a broad substrate scope and diversified valuable products.

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Multicomponent two-dimensional (2D) transition metal dichalcogenides (TMDCs) semiconductors based on adjustable band gap are increasingly used to design optoelectronic devices with specific spectral response. Here, we have designed the Mo W S /graphene heterostructure with adjustable band gap by adopting the combination idea of alloying and multiple heterogeneous recombination. The contact type, stability and photoelectric properties of Mo W S /graphene heterojunction were investigated theoretically.

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