Publications by authors named "Jing T"

Chondrosarcoma-like malignant giant cell tumor (GCT) of the rib is an extremely rare and aggressive tumor, particularly in adolescents. This case report describes a 19-year-old female presenting with a GCT of the rib with chondrosarcomatous differentiation, highlighting the challenges posed by its unusual location and pathological complexity. Multidisciplinary diagnostic approaches, including advanced imaging, immunohistochemistry (IHC), and pathology, were essential for confirming the diagnosis.

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This paper presents a synthetic holographic stereogram printing approach that integrates neural radiance fields (NeRF) with the effective perspective images segmentation and mosaicking (EPISM) method. Sparse perspectives of a 3D scene are captured through random sampling and used to train a NeRF model with multi-resolution hash encoding, enabling rapid construction of an implicit scene representation. The EPISM method calculates the camera pose parameters needed for parallax images, which are rendered through the trained neural network.

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Sodium-based rechargeable batteries are some of the most promising candidates for electric energy storage with abundant sodium reserves, particularly, sodium-based dual-ion batteries (SDIBs) perform advantages in high work voltage (≈5.0 V), high-power density, and potentially low cost. However, irreversible electrolyte decomposition and co-intercalation of solvent molecules at the electrode interface under a high charge state are blocking their development.

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The widespread use of synthetic phenolic antioxidants (SPAs) has led to their ubiquity and may contribute to multiple adverse health outcomes by affecting hormone level disruption. This study aimed to assess the exposure levels of SPAs in the plasma of the normoglycemic rural Chinese population, investigate the association of single and mixed pollutant exposures with sex hormones, and analyze the moderating role of body mass index (BMI) in these relationships. A cross-sectional study including 763 individuals with normal blood glucose from the Henan Rural cohort was conducted.

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Monitoring cardiac rhythm is crucial for diagnosis of heart failure. However, the deficient sensitivity of polyvinylidene fluoride (PVDF) sensors impede their application in monitoring of cardiac rhythm due to the limited piezoelectricity. Here, doping of CoFeO and aligning fibers were jointly adopted to enhance the piezoelectricity of PVDF, attributed to the transformation of α-PVDF to β-PVDF from 51.

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is one of the most destructive quarantine pests, causing irreversible damage to pine trees. However, the unexpected identification of pine wilt disease in Northern China indicates that can survive under low temperatures. In this study, we analyzed the reproductivity variations among 18 different isolates, and SC13 was identified to have excellent low temperature resistance.

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Adventitious root (AR) formation in plants originates from non-root organs such as leaves and hypocotyls. Auxin signaling is essential for AR formation, but the roles of other phytohormones are less clear. In , at least two distinct mechanisms can produce ARs, either from hypocotyls as part of the general root architecture or from wounded organs during de novo root regeneration (DNRR).

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The microRNAs and phasiRNAs of plant are small non-coding RNAs with important functions through regulating gene expression at the post-transcriptional level. However, identifying miRNAs, phasiRNAs and their target genes from numerous sequencing raw data requires multiple software and command-line operations, which are time-consuming and labor-intensive for non-model plants. Therefore, we present CsMPDB (miRNAs and phasiRNAs database of Camellia sinensis), an interactive web application with multiple analysis modules developed to visualize and explore miRNA and phasiRNA in tea plants based on 259 sRNA-seq samples and 24 degradome-seq samples in NCBI.

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Generating computer-generated holograms (CGHs) for 3D scenes by learning-based methods can reconstruct arbitrary 3D scenes with higher quality and faster speed. However, the homogenization and difficulty of obtaining 3D high-resolution datasets seriously limit the generalization ability of the model. A novel approach is proposed to train 3D encoding models based on convolutional neural networks (CNNs) using 2D image datasets.

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Developing hybrid fluorescence (FL)/room-temperature phosphorescent (RTP) materials in dry-state, aqueous, and organic solvents holds paramount importance in broadening their applications. However, it is extremely challenging due to dissolved oxygen and solvent-assisted relaxation causing RTP quenching in an aqueous environment and great dependence on SiO-based materials. Herein, an efficient endogenetic carbon dot (CD) strategy within melamine-formaldehyde (MF) microspheres to activate RTP of CDs has been proposed through the pyrolysis of isophthalic acid (IPA) molecules and branched-chain intra-microspheres.

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The tea moth pest, is an economically important and highly damaging pest that drastically affects tea plant leaves. The chemical composition of its pheromone glands metabolites before and during calling period has not been reported yet. Therefore, the present study aimed at the metabolomic profiling of female moths' sex pheromones glands before and during calling period using gas chromatography time-of-flight mass spectrometry.

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Background: As albino tea under the geographical protection of agricultural products, Zheng'an Bai tea is not only rich in amino acids, polyphenols and other beneficial components for the human body, but also its leaf color will turn green as the temperature gradually rises, thus causing changes in the quality characteristics of tea leaves. However, these changing characteristics have not yet been revealed.

Methods: In-depth quality analysis was carried out on the fresh leaves of Zheng'an Bai tea at four different developmental stages and four samples from the processing stage through extensive targeted metabolomics and SPME-GC-MS analysis.

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The quantum spin Hall (QSH) effect has attracted extensive research interest due to its great promise in topological quantum computing and novel low-energy electronic devices. Here, using first-principles calculations, we find that MX (M = Ru and Os; X = As and Sb) monolayers are 2D topological insulators (TIs). The spin-orbit coupling (SOC) band gaps for RuAs, RuSb, OsAs, and OsSb monolayers are predicted to be 80, 131, 118, and 221 meV, respectively.

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The cotton-melon aphid Aphis gossypii Glover is a severe pest worldwide. Interhaplotype genomic variation can be used as a starting point to analyze the adaptability of Ap. gossypii.

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Background/aims: N-Methyl-N'-nitroso-N-nitrosoguanidine (MNNG) is suspected to increase the risk of developing stomach cancer. Folic acid (FA) is familiar with decreasing inflammation. We expected that FA would protect against MNNG-induced gastric mucosal injury.

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Article Synopsis
  • The OVATE gene family consists of transcriptional repressors crucial for plant growth and development, with studies showing they affect tissue and organ development as well as stress resistance, though their role in Rosa roxburghii is largely unexplored.
  • Researchers identified 14 members of the OVATE family distributed across 6 chromosomes in Rosa roxburghii, revealing specific expression patterns in different tissues and links to hormone-related elements.
  • The study concludes by highlighting the diverse functions of OVATE genes in Rosa roxburghii and constructing a regulatory co-expression network based on transcriptome data from various tissues.
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The water lily aphid, , is the only known aphid that can live in both terrestrial and aquatic conditions. In this study, the complete mitochondrial genome of was generated using Illumina sequencing technology. The typical circular DNA mitochondrial genome of is 15,772 bp in length, with a high A+T content (84.

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Esophageal cancer (EC) ranks among the most prevalent cancers worldwide, with a particularly high incidence in the Asian population. Due to the inconspicuous nature of early symptoms, patients with esophageal cancer are typically diagnosed in the middle to late stages, resulting in suboptimal overall treatment outcomes. Consequently, there is an urgent need to explore and refine therapeutic strategies.

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The arena of exosomal research presents substantial emerging prospects for clinical dermatology applications. This investigation conducts a thorough analysis of the contemporary global research landscape regarding exosomes and their implications for dermatological applications over the preceding decade. Employing bibliometric methodologies, this study meticulously dissects the knowledge framework and identifies dynamic trends within this specialized field.

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  • Deep learning has been effectively utilized to enhance hit screening and molecular optimization, particularly for Wee1 inhibitors in this study.
  • Using various deep learning techniques, researchers optimized a specific Wee1 inhibitor, starting from GLX0198 with an initial IC of 157.9 nM, resulting in three significantly improved compounds with ICs of 13.5 nM, 33.7 nM, and 47.1 nM.
  • The best-performing compound demonstrated strong inhibitory effects on multiple cancer cell lines, with IC values below 100 nM, highlighting deep learning's potential in streamlining molecular optimization decisions.
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  • Chemoresistance in pancreatic ductal adenocarcinoma (PDAC) presents significant treatment challenges, motivating research into the molecular mechanisms behind it.
  • This study specifically examines changes in the epigenetic landscape and the role of super-enhancers during the development of resistance to the chemotherapy drug gemcitabine.
  • Key findings include the identification of deactivation of the NDRG1 super-enhancer, which leads to WNT/β-catenin signaling activation, contributing to gemcitabine resistance and highlighting potential therapeutic targets for overcoming this resistance in PDAC.
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Article Synopsis
  • Plant glycosyltransferases (UGTs) help plants grow and live better by affecting their metabolism.
  • In a study of 28 plant species, researchers found that UGTs in tea plants expanded a lot, while some other gene groups shrank.
  • The study showed that some UGT genes help tea plants deal with weather conditions like cold and drought, and that tea growers may have changed the plants to make them taste better and stronger in cold weather.
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A growing percentage of diabetes-related deaths has been attributed to cancer, with environmental factors playing important contributions. Thus, we studied the potential relationship between endocrine disruptors polychlorinated biphenyls (PCBs) and cancer risk in diabetes. We aimed to evaluate the association between serum seven indicator-PCB (PCB-28/52/101/118/138/153/180) levels and incident cancer, and further explore the possible modifying role of lifestyle.

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