Publications by authors named "Chen JiaMin"

Tunnel magnetoresistance (TMR) sensors, known for their high sensitivity, efficiency, and compact size, are ideal for detecting weak currents, particularly leakage currents in smart grids. However, temperature variations can negatively impact their accuracy. This work investigates the effects of temperature variations on measurement accuracy.

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Graph Neural Networks (GNNs) have shown remarkable achievements and have been extensively applied in various downstream tasks, such as node classification and community detection. However, recent studies have demonstrated that GNNs are vulnerable to subtle adversarial perturbations on graphs, including node injection attacks, which negatively affect downstream tasks. Existing node injection attacks have mainly focused on the limited local nodes, neglecting the analysis of the whole graph which restricts the attack's ability.

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Objectives: To develop ultrasound-based radiomics models and a clinical model associated with inflammatory markers for predicting intrahepatic cholangiocarcinoma (ICC) lymph node (LN) metastasis. Both are integrated for enhanced preoperative prediction.

Methods: This study retrospectively enrolled 156 surgically diagnosed ICC patients.

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Introduction: Falls are the primary cause of unintentional fatalities among individuals aged 65 and older. Enhancing research on fall prevention among older adults is an urgent priority. Consequently, this study aims to investigate the prevalence and influencing factors of falls among community-dwelling older adults in Guangzhou, China, with a particular emphasis on the impact of family functioning.

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Article Synopsis
  • Accurate assessment of pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) is vital for reducing toxic effects in breast cancer patients who don’t respond to treatment.
  • Ultrasound (US) is highlighted as an effective tool for evaluating treatment response due to its affordability and safety, and this study aimed to create a predictive model using US and clinicopathological data.
  • The study identified four key characteristics that predict pCR, achieving high accuracy with an AUC of 0.912, 90.0% sensitivity, and 79.6% specificity, indicating that these factors can significantly aid in treatment planning for breast cancer patients.
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Background: N-Acetyltransferase 8 Like (NAT8L) inhibits natural killer (NK)/T-cell cytotoxicity by impairing the formation of the immunological synapse via N-acetylaspartate (NAA). Existing research has predominantly focused on the metabolic functions of NAT8L, particularly in adipose tissues and myelination in the brain. However, in contrast to other N-acetyltransferases such as NAT1 and NAT2, the role of NAT8L in cancer has been less extensively studied.

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Article Synopsis
  • Hybrid ESD is a newer technique gaining attention for treating laterally spreading tumors (LSTs) compared to traditional ESD.
  • A study analyzed outcomes from 890 patients who underwent ESD, revealing that hybrid ESD resulted in shorter procedure times and lower hospitalization costs but had a lower R0 resection rate.
  • For LSTs sized 10-30 mm, hybrid ESD is a viable option that balances cost savings and operative efficiency without sacrificing resection quality.
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Background: Despite vaccination, SARS-CoV-2 evolution leads to breakthrough infections and reinfections worldwide. Knowledge of hybrid immunization is crucial for future broad-spectrum SARS-CoV-2 vaccines.

Methods: In this study, we investigated neutralizing antibodies (nAbs) against the SARS-CoV-2 ancestral virus (wild-type [WT]), pre-Omicron VOCs, Omicron subvariants, and SARS-CoV-1 using plasma collected from four distinct cohorts: individuals who received three doses of BBIBP-CorV/CoronaVac vaccines, those who experienced BA.

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The application of antibiotics has advanced modern medicine significantly. However, the abuse and discharge of antibiotics have led to substantial antibiotic residues in water, posing great harm to natural organisms and humans. To address the problem of antibiotic degradation, this study developed a novel catalytic membrane by depositing Co catalysts onto MXene nanosheets and fabricating the polyethersulfone composite (Co@MXene/PES) using vacuum-assisted self-assembly.

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Article Synopsis
  • - The study examined the link between vegetable consumption and major depressive disorder (MDD) using data from the National Health and Nutrition Examination Survey (NHANES) and genetic research from the UK Biobank.
  • - Results indicated that lower vegetable intake (less than 2 cups per day) was correlated with a higher risk of MDD, with adjusted odds showing a significant association (OR = 1.53).
  • - However, the two-sample Mendelian randomization analysis found no causal relationship between vegetable intake and MDD, suggesting that while there is an association, it may not imply that low vegetable consumption directly causes increased depression.
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Purpose: The explosive progression of residual hepatocellular carcinoma (HCC) following incomplete thermal ablation is challenging, and the underlying mechanisms require further exploration. We investigated the mechanism by which Forkhead box P4 (FOXP4) promotes the malignant transformation of residual HCC cells through N-deacetylase and N-sulfotransferase 2 (NDST2) after incomplete thermal ablation.

Methods: The clinical significance of FOXP4 and NDST2 in HCC was evaluated using big data analysis.

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The clinicopathological features of HIV-related primary central nervous system lymphoma (PCNSL) and immunocompetent primary central nervous system lymphoma (IC-PCNSL) were found to be distinct. Thirty-seven patients with HIV-related PCNSL and thirty patients with IC-PCNSL were included in our study. Hematoxylin & eosin (HE) staining, immunohistochemical detection using CD10, MUM1, CD20, Bcl-2, Bcl-6, p53, C-MYC, Ki67, methyltransferase like factor 3 (METTL3) antibodies and Epstein-Barr encoding region (EBER) in situ hybridization were performed.

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Objective: The aim of this study was to develop and validate a health action process approach (HAPA) inventory for measuring cognitive belief factors influencing home nutritional behavior among postoperative gastric cancer patients.

Methods: Item pool of the inventory was constructed based on the HAPA, literature review, and qualitative interview. Expert consultations were used for item improvement.

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Two-dimensional (2D) magnetic semiconductors offer an intriguing platform for investigating magneto-optoelectronic properties and hold immense potential in developing prospective devices when they are combined with valley electronic materials like 2D transition-metal dichalcogenides. Herein, we report various magneto-optoelectronic response features of the vertical hBN-FLG-CrI-WSe-FLG-hBN van der Waals heterostructure. Through a sensible layout and exquisite manipulation, an hBN-FLG-CrI-FLG-hBN heterostructure was also fabricated on identical CrI and FLGs for better comparison.

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Background: Central obesity was considered as a risk factor for falls among the older population. Waist circumference (WC), lipid accumulation product (LAP), visceral adiposity index (VAI), and the Chinese visceral adiposity index (CVAI) are considered as surrogate markers for abdominal fat deposition in increasing studies. Nevertheless, the longitudinal relationship between these indices and falls among the older population remains indistinct.

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Vibration substantially degrades machining quality and measurement accuracy in ultra-precision processes, necessitating the implementation of vibration isolators to mitigate these effects. Magnetic vibration isolators represent a promising alternative due to their wide isolation frequency range, low energy consumption, and compatibility with vacuum environments. In designing the quasi-zero stiffness magnetic vibration isolator, the particle swarm optimization algorithm is employed to balance multiple performance indicators.

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The high mortality rate of esophageal squamous cell carcinoma (ESCC) is exacerbated by the absence of early diagnostic markers. The pronounced heterogeneity of mutations in ESCC renders copy number alterations (CNAs) more prevalent among patients. The identification of CNA genes within esophageal squamous dysplasia (ESD), a precancerous stage of ESCC, is crucial for advancing early detection efforts.

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In recent years, there has been a significant increase in the prevalence of electronic wearables, among which flexible magnetoelectronic skin has emerged as a key component. This technology is part of the rapidly progressing field of flexible wearable electronics, which has facilitated a new human perceptual development known as the magnetic sense. However, the magnetoelectronic skin is limited due to its low sensitivity and substantial field limitations as a wearable electronic device for sensing minor magnetic fields.

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β-Lactoglobulin (βLG) is a major allergen in bovine milk protein. This study was designed to investigate changes in βLG structure, digestibility, and allergenicity induced by covalent binding modification with different contents of (-)-epigallocatechin 3-gallate (EGCG). The reaction of EGCG conjugation with βLG reached saturation at a molar ratio of 1:60 βLG:EGCG.

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Tomatoes, widely cherished for their high nutritional value, necessitate precise ripeness identification and selective harvesting of mature fruits to significantly enhance the efficiency and economic benefits of tomato harvesting management. Previous studies on intelligent harvesting often focused solely on identifying tomatoes as the target, lacking fine-grained detection of tomato ripeness. This deficiency leads to the inadvertent harvesting of immature and rotten fruits, resulting in economic losses.

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Multi-modal attention mechanisms have been successfully used in multi-modal graph learning for various tasks. However, existing attention-based multi-modal graph learning (AMGL) architectures heavily rely on manual design, requiring huge effort and expert experience. Meanwhile, graph neural architecture search (GNAS) has made great progress toward automatically designing graph-based learning architectures.

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Silkworm () pupae are popular edible insects with high nutritional and therapeutic value. Currently, there is growing interest in the comprehensive application of silkworm pupae. In this study, peptides that exhibited anti-photoaging activity were obtained from silkworm pupae protein, aiming to investigate the protective effects and potential mechanisms of silkworm pupae peptides (SPPs) on skin photoaging.

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Ferromagnetic pipes are widely used in the oil and gas industry. They are subject to cracks due to corrosion, pressure, and fatigue. It is significant to detect cracks for the safety of pipes.

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Objectives: This study was designed to explore and validate the value of different machine learning models based on ultrasound image-omics features in the preoperative diagnosis of lymph node metastasis in pancreatic cancer (PC).

Methods: This research involved 189 individuals diagnosed with PC confirmed by surgical pathology (training cohort: n = 151; test cohort: n = 38), including 50 cases of lymph node metastasis. Image-omics features were extracted from ultrasound images.

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