Publications by authors named "Jiaping Hu"

To systematically investigate the influence of the number of [AO] layers in the unit cell of hexagonal perovskite oxide on the oxygen evolution reaction performance, we successfully synthesized the three new hexagonal perovskite oxides 2H-BaCoRuO, 6H-BaCoRuO, and 10H-BaCoRuO with the same element composition but different [BaO] layers via the sol-gel method. Here, 2H, 6H, and 10H refer to the number of [BaO] layers contained in the unit cell of the BaCoRuO system. Experimentally, 10H-BaCoRuO, featuring ten layers of [BaO], exhibits optimal electrochemical activity among the three oxide catalysts, and in situ Raman results under various bias voltages confirm its ability to maintain a high surface crystal structural stability.

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Vertebral compression fractures (VCFs) are the most common type of osteoporotic fractures, yet they are often clinically silent and undiagnosed. Chest frontal radiographs (CFRs) are frequently used in clinical practice and a portion of VCFs can be detected through this technology. This study aimed to develop an automatic artificial intelligence (AI) tool using deep learning (DL) model for the opportunistic screening of VCFs from CFRs.

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This study investigated the molecular mechanism behind the highly efficient performance of nitrogen-doped carbon dots (NCDs)-assisted microbial electrosynthesis systems (MESs). The impact of NCDs (C:N precursor = 1:0.5-1:3) on acetogens was examined in the biocathode.

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Article Synopsis
  • Meniscal injuries often lead to knee pain and can be a precursor to osteoarthritis; this study seeks to enhance diagnosis using an automatic classification system for meniscal injuries based on MRI images.
  • Utilizing data from the Osteoarthritis Initiative, researchers developed a model called LGSA-UNet, which effectively segments and classifies different types of meniscus injuries with high accuracy and DICE coefficients.
  • The results showed that the deep learning models outperformed a junior radiologist in diagnosing meniscal injuries, indicating that AI could significantly improve diagnostic efficiency in this area.
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Background: Artificial intelligence shows promise in assessing knee osteoarthritis (OA) progression on MR images, but faces challenges in accuracy and interpretability.

Purpose: To introduce a temporal-regional graph convolutional network (TRGCN) on MR images to study the association between knee OA progression status and network outcome.

Study Type: Retrospective.

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We present a study on the electrocatalysis of 214-type perovskite oxides LnSrCoO (Ln = La, Pr, Sm, Eu, and Ga) with semiconducting-like behavior synthesized using the sol-gel method. Among these five catalysts, PrSrCoO exhibits the optimal electrochemical performance in both the oxygen evolution reaction and the hydrogen evolution reaction, mainly due to its larger electrical conductivity, mass activity, and turnover frequency. Importantly, the weak dependency of LSV curves in a KOH solution with different pH values, revealing the adsorbate evolving mechanism in PrSrCoO, and the density functional theory (DFT) calculations indicate that PrSrCoO has a smaller Gibbs free energy and a higher density of states near the Fermi level, which accelerates the electrochemical water splitting.

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Background: No investigations have thoroughly explored the feasibility of combining magnetic resonance (MR) images and deep-learning methods for predicting the progression of knee osteoarthritis (KOA). We thus aimed to develop a potential deep-learning model for predicting OA progression based on MR images for the clinical setting.

Methods: A longitudinal case-control study was performed using data from the Foundation for the National Institutes of Health (FNIH), composed of progressive cases [182 osteoarthritis (OA) knees with both radiographic and pain progression for 24-48 months] and matched controls (182 OA knees not meeting the case definition).

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FeS/SnS@N-C composites were successfully synthesized through the combination of nucleation self-assembly, N-doped carbon coating, and in situ vulcanization. The experimental results show that the discharge capacitance of FeS/SnS@N-C in the lithium storage process is 796.90 mAh g at 0.

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Background: The treatment of unstable scaphoid fracture and nonunion remains a challenging problem for hand surgeons. Minimally invasive treatment has become the preferred method of treatment.

Purpose: This study introduces the arthroscopic technique with two headless compression screws (HCS) fixation and distal radius bone grafting for the treatment of unstable scaphoid fracture and nonunion, aiming to evaluate its clinical and radiological outcomes.

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Background: The infrapatellar fat pad (IPFP) plays an important role in the incidence of knee osteoarthritis (OA). Magnetic resonance (MR) signal heterogeneity of the IPFP is related to pathologic changes. In this study, we aimed to investigate whether the IPFP radiomic features have predictive value for incident radiographic knee OA (iROA) 1 year prior to iROA diagnosis.

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Potassium-ion batteries (PIBs) have received much attention as next-generation energy storage systems because of their abundance, low cost, and slightly lower standard redox potential than lithium-ion batteries (LIBs). Nevertheless, they still face great challenges in the design of the best electrode materials for applications. Herein, we have successfully synthesized nano-sized CoSe encapsulated by N-doped reduced graphene oxide (denoted as CoSe@N-rGO) by a direct one-step hydrothermal method, including both orthorhombic and cubic CoSe phases.

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The high overpotential required for the oxygen evolution reaction (OER)-due to the transfer of four protons and four electrons-has greatly hindered the commercial viability of water electrolysis. People have been committed to the development of alternative precious metal-free OER electrocatalysts, especially electrocatalysts for alkaline media. In this study, we report the application of Sr(CoFe)O (SCF-H) perovskite oxide with a hexagonal phase structure in the field of OER electrocatalysis.

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This study aimed to reveal the synergistic effect of bioanode and biocathode on nitrobenzene (NB) removal with different microbial community structures and functions. Single-chamber bioelectrochemical reactors were constructed and operated with different initial concentrations of NB and glucose as the substrate. With the synergistic effect of biocathode and bioanode, NB was completely removed within 8 h at a kinetic rate constant of 0.

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Colorectal cancer (CRC) is the third-commonest malignant cancer, and its metastasis is the major reason for cancer-related death. The process of metastasis is highly coordinated and involves a complex cascade of multiple steps. In recent years, miRNAs, as highly conserved, endogenous, noncoding, single-stranded RNA, has been confirmed to be involved in the development of various cancers.

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This study aimed to enhance treatment of wastewater containing nitrobenzene (NB) and sulfate using biocathode enriched with sulfate-reducing bacteria in microbial electrolysis cell (MEC). Artificial wastewater with 50 mg L NB and 200 mg L sulfate was used as the catholyte. With 0.

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This study aimed to investigate the graphene oxide (GO) conversion by the sulfate-reducing biocathode and its modified effects on performance of the microbial electrolysis cell (MEC). Biocathodes were acclimated with autotrophic sulfate-reducing cultures using medium containing 500 mg L sulfate. Sulfate reductive rate in the MEC was 230 and 135 g m d, respectively, with and without 30 mg L GO addition.

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The removal efficiencies of environmental pollutants in a microbial electrolysis system (MES) with a biocathode are highly affected by the externally applied voltage. Although the cathode biofilm plays a key role in the pollution removal, its response to the applied voltage is still unknown. A two-chambered MES with a biocathode was constructed to study the impact of the different applied voltages (0.

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Tumor suppressor genes (TSGs), including Ten-eleven translocation 1 (TET1), are hypermethylated in hepatocellular carcinoma (HCC). TET1 catalytic domain (TET1-CD) induces genome-wide DNA demethylation to activate TSGs, but so far, anticancer effects of TET1-CD are unclear. Here we showed that after HCC cells were transiently transfected with TET1-CD, the methylation levels of TSGs, namely APC, p16, RASSF1A, SOCS1 and TET1, were distinctly reduced, and their mRNA levels were significantly increased and HCC cells proliferation, migration and invasion were suppressed, but the methylation and mRNA levels of oncogenes, namely C-myc, Bmi1, EMS1, Kpna2 and c-fos, were not significantly change.

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Colorectal cancer (CRC) is among the cancers with the highest incidence globally, and it currently ranks as the fourth leading cause of cancer-related deaths worldwide. Novel strategies for the treatment of advanced CRC are urgently needed, and adoptive transfer of allogeneic natural killer (NK) cells represents an attractive option. In this study, we successfully expanded NK cells from umbilical cord blood (UCB) with membrane-bound interleukin (IL)-21, termed eUCB-NK cells.

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Colorectal cancer (CRC) remains a major health problem worldwide and the detailed mechanisms of CRC still need further understanding. Circular RNAs (circRNAs), a special class of endogenous RNAs, have emerged recently as a new potential player in governing fundamental biological process and cancer progression. In this study, we chose circRNA0003906 as a targeted circRNA to evaluate its expression pattern and clinical value in CRC patients.

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Desmoid tumors, also known as aggressive fibromatoses, are clinically rare soft-tissue tumors that arise from such connective tissues as the musculoaponeurotic structures. The majority of the reported intra-abdominal desmoid tumors occur in the small intestinal mesentery and peritoneum, whereas stomach desmoid tumors are extremely rare. The present study reports a case of stomach desmoid tumor and reviews the related available literature.

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