Publications by authors named "JiaLin Yu"

Objective: This study aimed to investigate the roles of Mucin 1 (MUC1), the PI3K/AKT pathway, and enterocyte apoptosis in Necrotizing Enterocolitis (NEC).

Methods: Using an NEC Caco-2 cell model, retinoic acid treatment and MUC1 gene silencing were employed. Flow cytometry was used to assess apoptosis, while quantitative PCR and western blot analyses were conducted to evaluate the gene and protein expressions of MUC1, PI3K, Akt, and factors related to apoptotic modulation.

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Purpose: This study aims to elucidate the roles of the PI3K-Akt signaling pathway and enterocyte apoptosis in necrotizing enterocolitis (NEC) pathogenesis and investigate the impact of vitamin A intervention on these factors.

Methods: We employed an NEC mouse model and administered vitamin A treatment. Retinol levels in mouse blood were quantified using ELISA.

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Long-term use of naproxen can lead to serious side effects. Inspired by the biological activity of cinnamic acid, a series of cinnamic acid derivatives containing naproxen were designed and synthesized, and their anti-inflammatory activities and mechanisms were explored in vitro. Our results indicated that all of naproxen derivatives showed more significant inhibition against lipopolysaccharide (LPS)-induced nitric oxide (NO) production and had a lower degree of cytotoxicity than that of naproxen.

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Background: Reliable, fast, and accurate weed detection in farmland is crucial for precision weed management but remains challenging due to the diverse weed species present across different fields. While deep learning models for direct weed detection have been developed in previous studies, creating a training dataset that encompasses all possible weed species, ecotypes, and growth stages is practically unfeasible. This study proposes a novel approach to detect weeds by integrating semantic segmentation with image processing.

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Ethnopharmacological Relevance: Type 2 diabetes mellitus (T2DM) poses significant threats to public health. In Traditional Chinese Medicine (TCM), the Phellodendri Chinensis Cortex-Anemarrhenae Rhizoma (PCC/AR) herb pair has long been used for T2DM treatment, although its specific anti-diabetic mechanisms remain unclear.

Aim Of The Study: This study aimed to elucidate the relationship between metabolomics of T2DM patients and the anti-diabetic effects of PCC/AR herb pair in mice through clinical metabolomics and both in vitro and in vivo experiments.

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Background: Colorectal cancer (CRC) is the second primary malignancy in China with tough treatment challenge. Although Oleanolic acid (OA) protects against various cancers, its mechanisms in CRC are not well defined. Our previously study showed that Nur77 has CRC promoting effect.

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Antibiotics are currently used for the treatment of (), which is confirmed to be the major cause of gastric disorders. However, the long-term consumption of antibiotics has already caused antibiotic resistance and side effects in vivo. Therefore, there is an emerging need for searching for safe and effective anti- agents.

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Autophagy plays a vital role in eliminating intracellular mycobacterium. It is regulated by multiple metabolic processes including glutaminolysis. Glutaminase 1 (GLS1) is the rate-limiting enzyme of glutaminolysis and has been reported to control intracellular Gln content.

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Photocatalysis has the potential for lignin valorization to generate functionalized aromatic monomers, but its application has been limited by the slow conversion rate and the low selectivity to desirable aromatic products. In this work, we designed the phase junction CdS with coexposed hexagonal (100) and cubic (220) facets to improve the photogenerated charge carriers' transfer efficiency from (100) facet to (220) facet and the hydrogen transfer efficiency for an enhanced conversion rate of lignin to aromatic monomers. Water is found as a sufficient external hydrogen supplier to increase the yields of aromatic monomers.

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We present first results from a dark photon dark matter search in the mass range from 44 to 52  μeV (10.7-12.5 GHz) using a room-temperature dish antenna setup called GigaBREAD.

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Objective: Since 2016, China has successively implemented Accelerated Drug Marketing Registration Procedures (ADMRPs) for drugs, including Breakthrough Therapy Drug (BTD), Conditional Approval (CA), and Priority Review and Approval (PRA), which have played an important role in promoting the development and review of clinically urgently needed drugs. In this study, we focused on the antineoplastic and immunomodulating agents approved for marketing through ADMRPs, to provide a reference for promoting the formation of a stable and mature regulatory system for the review and approval of antineoplastic drugs and immunomodulating agents in China.

Methods: Reviewed the National Medical Products Administration (NMPA) drug review reports for the years 2016-2022 and screened the antineoplastic and immunomodulating agents approved through ADMRPs.

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Phosphorylation is indispensable in comprehending biological processes, while biological experimental methods for identifying phosphorylation sites are tedious and arduous. With the rapid growth of biotechnology, deep learning methods have made significant progress in site prediction tasks. Nevertheless, most existing predictors only consider protein sequence information, that limits the capture of protein spatial information.

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Background: Accurate detection of weeds and estimation of their coverage is crucial for implementing precision herbicide applications. Deep learning (DL) techniques are typically used for weed detection and coverage estimation by analyzing information at the pixel or individual plant level, which requires a substantial amount of annotated data for training. This study aims to evaluate the effectiveness of using image-classification neural networks (NNs) for detecting and estimating weed coverage in bermudagrass turf.

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Background: Machine vision-based precision weed management is a promising solution to substantially reduce herbicide input and weed control cost. The objective of this research was to compare two different deep learning-based approaches for detecting weeds in cabbage: (1) detecting weeds directly, and (2) detecting crops by generating the bounding boxes covering the crops and any green pixels outside the bounding boxes were deemed as weeds.

Results: The precision, recall, F1-score, mAP, mAP0 of You Only Look Once (YOLO) v5 for detecting cabbage were 0.

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Background: Accurate and reliable weed detection in real time is essential for realizing autonomous precision herbicide application. The objective of this research was to propose a novel neural network architecture to improve the detection accuracy for broadleaf weeds growing in alfalfa.

Results: A novel neural network, ResNet-101-segmentation, was developed by fusing an image classification and segmentation module with the backbone selected from ResNet-101.

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Article Synopsis
  • This research focuses on improving weed detection for automatic herbicide application using a novel semi-supervised learning (SSL) approach, reducing the reliance on large labeled image datasets.
  • SSL methods (like FixMatch) showed increased classification accuracy compared to fully supervised learning (FSL) models like ResNet50, with FixMatch being the most effective at achieving high accuracy with fewer labeled images.
  • The findings indicate that SSL deep neural networks are not only accurate but also more time- and labor-efficient, making them a viable alternative to traditional FSL methods in weed detection.
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Tumor necrosis factor receptor-associated factor 6 (TRAF6) is an E3 ubiquitin ligase that is extensively involved in the autophagy process by interacting with diverse autophagy initiation and autophagosome maturation molecules. However, whether TRAF6 interacts with lysosomal proteins to regulate Mycobacterium-induced autophagy has not been completely characterized. Herein, the present study showed that TRAF6 interacted with lysosomal key proteins Rab7 through RING domain which caused Rab7 ubiquitination and subsequently ubiquitinated Rab7 binds to STX17 (syntaxin 17, a SNARE protein that is essential for mature autophagosome), and thus promoted the fusion of autophagosomes and lysosomes.

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Phage therapy is gaining traction as an alternative to antibiotics due to the rise of multi-drug-resistant (MDR) bacteria. This study assessed the pharmacokinetics and safety of PA_LZ7, a phage targeting MDR , in mice. After intravenous administration, the phage showed an exponential decay in plasma and its concentration dropped significantly within 24 h for all dosage groups.

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Article Synopsis
  • Deep generative models, particularly generative adversarial networks (GANs), are powerful tools for drug molecular generation, but they face training challenges like instability and model collapse.
  • The proposed method, STAGAN, addresses these issues by introducing a new gradient penalty for the discriminator and implementing a batch normalization layer in the generator.
  • STAGAN demonstrated improved performance by generating a higher number of valid and unique molecules compared to previous models, indicating its effectiveness in enhancing stability during the training process.
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Background: An intradermal nevus is a common skin tumour, and the classical method of removal has a risk of recurrence and scarring. It is a challenge for dermatologists to treat eyebrow intradermal nevi quickly and efficiently. This study focused on investigating the efficacy and safety of shearing combined with electrocautery and curettage in the treatment of eyebrow intradermal nevi.

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The potential for commercial cultivation of genetically engineered (GE) alfalfa has raised ecological concerns due to the possibility of introgression of GE alleles into conventional populations. The main objectives of this study were to determine the key affecting factors (i.e.

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Objective: Oxaliplatin is a first-line chemotherapy drug for the treatment of colorectal cancer, but its induced oxaliplatin-induced peripheral neurotoxicity (OIPN) affect the chemotherapy process and quality of life of tumor patients. OIPN is a serious and potentially permanent side effect of cancer treatment. Currently, no unified standard has been established for preventing and treating OIPN in Western medicine.

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The principal benefit of employing percutaneous vertebroplasty (PVP) for managing osteoporotic vertebral compression fractures lies in its capacity to facilitate early mobilization in elderly patients, thereby effectively avoiding the potential catastrophic complications associated with prolonged bedridden states. However, bone cement leakage, as the most common complication of PVP, may have fatal consequences. Here, we report a case involving an 85-year-old male patient with L1 vertebral compression fracture who underwent PVP at our hospital and was discharged on the same day of the surgical intervention.

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infection is a significant threat to global public health, and the increasing prevalence of antibiotic resistance exacerbates the situation. Therefore, finding new and effective ways to combat this pathogen is essential. Phages are natural predators of bacteria and can be used as an alternative to antibiotics to kill specific bacteria, including drug-resistant strains.

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