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Bearings, as widely employed supporting components, frequently work in challenging working conditions, leading to diverse fault types. Traditional methods for diagnosing bearing faults primarily center on time–frequency analysis, but this often requires expert experience for accurate fault identification. Conversely, intelligent fault recognition and classification methods frequently lack interpretability. To address this challenge, this paper introduces a convolutional neural network with an attention mechanism method, denoted as CBAM-CNN, for bearing fault diagnosis. This approach incorporates an attention mechanism, creating a Convolutional Block Attention Module (CBAM), to enhance the fault feature extraction capability of the network in the time–frequency domain. In addition, the proposed method integrates a weight visualization module known as the Gradient-Weighted Class Activation Map (Grad-CAM), enhancing the interpretability of the convolutional neural network by generating visual heatmaps on fault time–frequency graphs. The experimental results demonstrate that utilizing the dataset employed in this study, the CBAM-CNN achieves an accuracy of 99.81%, outperforming the Base-CNN with enhanced convergence speed. Furthermore, the analysis of attention weights reveals that this method exhibits distinct focus of attention under various fault types and degrees. The interpretability experiments indicate that the CBAM module balances the weight allocation, emphasizing signal frequency distribution rather than amplitude distribution. Consequently, this mitigates the impact of the signal amplitude on the diagnostic model to some extent.

The intestinal epithelium provides an important barrier against bacterial endotoxin translocation, which can regulate the absorption of water and ions. The disruption of epithelial barrier function can result in water transport and tight junction damage, or further cause diarrhea. Therefore, reducing intestinal epithelial barrier injury plays an important role in diarrhea. Inflammatory response is an important cause of intestinal barrier defects. Daidzein improving the barrier integrity has been reported, but the effect on tight junction proteins and aquaporins is not well-described yet, and the underlying mechanism remains indistinct in the human intestinal epithelium. This study aimed to investigate the effects and mechanisms of daidzein on intestinal epithelial barrier injury induced by LPS, and a barrier injury model induced by LPS was established with human colorectal epithelial adenocarcinoma cell line Caco-2 cells. We found that daidzein protected the integrity of Caco-2 cell monolayers, reversed LPS-induced downregulation of ZO-1, occludin, claudin-1, and AQP3 expression, maintained intercellular junction of ZO-1, and suppressed NF-κB and the expression of inflammatory factors (TNF-α, IL-6). Furthermore, we found that daidzein suppressed the phosphorylation of the PI3K/AKT and P38 pathway-related proteins and the level of the related genes, and the PI3K/AKT and P38 pathway inhibitors increased ZO-1, occludin, claudin-1, and AQP3 expression. The study showed that daidzein could resist LPS-induced intestinal epithelial barrier injury, and the mechanism is related to suppressing the PI3K/AKT and P38 pathways. Therefore, daidzein could be a candidate as a dietary supplementation or drug to prevent or cure diarrhea.

Reverse osmosis concentrate (ROC) contains relatively high levels of refractory organic pollutants, posing significant challenges due to its difficult treatment and high environmental risks. Therefore, efficient and convenient removal strategies are essential. In this study, a self-developed iron-modified activated carbon fiber (Fe-ACF) was employed as an adsorbent to remove organic pollutants from ROC. Additionally, response surface methodology (RSM) was applied to model the adsorption process, identify and evaluate key influencing parameters, and optimize operational conditions. The adsorption mechanisms and regeneration stability of Fe-ACF were also investigated. Kinetic analysis revealed that the adsorption process is predominantly governed by chemisorption, with intraparticle diffusion identified as the primary rate-limiting step. Isothermal adsorption studies demonstrated that the Langmuir–Freundlich model best describes the adsorption behavior, yielding a theoretical maximum adsorption capacity of 12.21 ± 0.80 mg/g. Thermodynamic analysis confirmed that the adsorption process is spontaneous, endothermic, and driven by an increase in entropy. The RSM optimization identified pH as the dominant factor. The optimal adsorption conditions were a pH of 4.18, a temperature of 34.63 °C, a stirring speed of 547.91 rpm, and an adsorbent dosage of 1.55 g/L. The adsorption mechanism involves hydrogen bonding, π–π interactions, surface complexation, and electrostatic forces. Fe-ACF exhibits competitive regeneration stability and structural integrity. In summary, Fe-ACF demonstrates significant potential as a treatment material for ROC.

Constructing the structure of protein signaling networks by Bayesian network technology is a key issue in the field of bioinformatics. The primitive structure learning algorithms of the Bayesian network take no account of the causal relationships between variables, which is unfortunately important in the application of protein signaling networks. In addition, as a combinatorial optimization problem with a large searching space, the computational complexities of the structure learning algorithms are unsurprisingly high. Therefore, in this paper, the causal directions between any two variables are calculated first and stored in a graph matrix as one of the constraints of structure learning. A continuous optimization problem is constructed next by using the fitting losses of the corresponding structure equations as the target, and the directed acyclic prior is used as another constraint at the same time. Finally, a pruning procedure is developed to keep the result of the continuous optimization problem sparse. Experiments show that the proposed method improves the structure of the Bayesian network compared with the existing methods on both the artificial data and the real data, meanwhile, the computational burdens are also reduced significantly.

Knowledge, attitude and willingness of ethnic minorities in China towards cadaver donation programs were assessed. Questionnaire and interviews were conducted to investigate Yi, Bai, Hani, Dai and Han ethnicities. Educational level and per capita income of ethnic minorities were lesser than those of Han ethnicity (p<0.01). Agriculture was the primary occupation and proportions of technical personnel and public officials was lesser among ethnic minorities (p<0.01). Surveyed ethnic minorities universally practice religious traditions, Bai and Dai ethnicities practice Buddhist beliefs also (p<0.01). Knowledge of Yi, Bai, Hani and Dai ethnic respondents was lesser than those of Han ethnicity (p<0.01). Over 83.8% of Yi, Bai, Hani and Dai ethnicity residents were unwilling to register for body donation programs with receiving a driver's license (p<0.01). Less than 46.9% of ethnic minorities supported use of honorary certificates (p<0.01). Ethnic minorities were supportive of financial compensation for body donations and denied that financial compensation led to the commercialization of cadaver donation (p<0.01, p<0.01). Willingness of ethnic minorities to participate in cadaver donation programs was primarily related to religious beliefs (p<0.01), economic status (p<0.01). Knowledge, attitude and willingness of ethnic minorities to participate in cadaver donation programs were markedly different from those of Han ethnicity, and the religious belief and economic status played a decisive role. To increase participation, programs based on respecting religious belief should be developed to support improvements in economy, education, medical care and social security system.

Tumor-induced immunosuppressive microenvironment in which myeloid-derived suppressor cells (MDSCs) plays an important role, remains an obstacle for effective oncotherapy currently. Inducing MDSCs into maturation was confirmed as an effective method to reduce the tumor-bearing host's immunosuppression. Traditional Chinese medicines (TCM) possess characteristics of alleviating immunosuppression of cancer patients and low toxicity. Jianpi Huayu Decoction (JHD) was an experienced formula of TCM for oncotherapy based on TCM theory and clinical practice. We previously observed that JHD attenuated the expression of interleukin-10 (IL-10) and transforming growth factor beta (TGF-β) in tumor. IL-10 and TGF-β were found to be cytokines positively related to immunosuppression induced by MDSCs. Here, our study was designed to further investigate the regulation of JHD on the immune system in the H22 liver-cancer mouse model. Mainly, flow cytometry was used to detect the proportion of immune cells, to analyze the apoptosis, differentiation and reactive oxygen species of MDSCs. We found that JHD significantly reduced the destruction of spleen structure, reduced the proportion of regulatory T cells (Treg) and T helper 17 cells (Th17), and increased the proportion of cytotoxic T lymphotes (CTL), Dendritic cells (DC) and CD11b+Gr-1+cells in spleen, but with no significant change of T helper 1 cells (Th1), T helper 2 cells (Th2) and macrophages. In vitro experiments showed that apoptosis of MDSCs was decreased as the time of JHD stimulation increased, which partly explained the increase of CD11b+Gr-1+cells in the spleen. Meanwhile, JHD could promote the differentiation of MDSCs into macrophages and dendritic cells, attenuate expression of ROS in MDSCs and reduce its inhibition on the proliferation of CD4+ T cells, in vitro. Therefore, that the proportion of CD11b+Gr-1+ cells increased in the spleen of tumor-bearing hosts may not be villainy after treatment, when these drugs suppress the immunosuppressive ability of CD11b+Gr-1+ cells and promote it mature to replenish dendritic cell, at the same time. Generally, JHD may be a complementary and alternative drug for attenuating the immunosuppressive status induced by hepatocellular carcinoma, possibly by promoting differentiation and inhibiting the immunosuppressive activity of MDSCs.

The mutual grafting affecting the physiological characteristics and selenium (Se) absorption capacity in offspring of Solanum photeinocarpum from the farmland and mining ecosystems were studied by the pot experiments. The mutual grafting significantly increased the dry biomass, antioxidant enzyme activity, and soluble protein content in offspring of S. photeinocarpum from the farmland ecosystem, while the activities of superoxide dismutase and catalase in offspring of S. photeinocarpum from the mining ecosystem were inhibited than the ungrafted S. photeinocarpum. It was observed that the photosynthetic pigment level of S. photeinocarpum offspring from the farmland ecosystem was lower than the ungrafted S. photeinocarpum to varying degrees. Besides, mutual grafting not only increased the Se concentration of S. photeinocarpum offspring, but also significantly promoted the amount of extracted Se by S. photeinocarpum offspring. The shoots Se extraction and dry biomass of S. photeinocarpum offspring with combination of S. photeinocarpum from the mining ecosystem / S. photeinocarpum from the farmland ecosystem reached the maximum level, thereby promoting the growth and Se accumulation capacity of S. photeinocarpum offspring than another grafting combination.

As we enter the 5G (5th-Generation) era, the amount of information and data has become increasingly tremendous. Therefore, electronic circuits need to have higher chip density, faster operating speed and better signal quality of transmission. As the carrier of electronic components, the design difficulty of high-speed PCB (Printed Circuit Board) is also increasing. Equal-length wiring is an essential part of PCB design. But now, it can no longer meet the needs of designers. Accordingly, in view of the shortcomings of the traditional equal-length wiring, this article proposes two optimization ways: the ”spiral wiring” way and the ”double spiral wiring” way. Based on the theoretical analysis of the transmission lines, the two optimization ways take the three aspects of optimizing the layout and wiring space, suppressing crosstalk and reducing reflection as the main points to optimize the design. Eventually, this article performs simulation and verification of schematic diagram and PCB of the optimal design by using HyperLynx simulation software. The simulation results show that these two ways not only improve the flexibility of the transmission line layout, but also improve the signal integrity of the transmission lines. Of course, this also proves the feasibility and reliability of the two optimized designs.

Polarity-tunable photocurrents provide an intrinsic decision variable that enables in-sensor computing within a single device, moving beyond simple intensity detection toward next-generation intelligent vision, yet traditional photodetectors are limited by static doping profiles and fixed junction polarities. To overcome this bottleneck, we propose a Te0.61Se0.39 nanowire device with polarity-tunable photoresponse for broadband optoelectronic logic operation via photocarrier diffusion under localized light illumination. By simultaneously harnessing temporal (pulse width), spatial (light positions), amplitude (light intensity), and bias, our polarity-tunable devices deterministically realize the four fundamental Boolean logic gates (AND, NAND, XNOR, XOR), with a responsivity of 1.39 A/W and a specific detectivity of 1.75 × 1010 Jones across the visible to mid-wave infrared spectrum. We further showcased its scalability by constructing a two-layer composite Boolean circuit through the integration of optoelectronic AND and NAND gates. Practical applications in optical encoding/decoding transmission and differential perception highlight its broad functional adaptability. This work establishes a paradigm for broadband polarity devices in low-dimensional nanowires, providing a versatile platform for optoelectronic logic and differential imaging applications.

ObjectiveThis study aimed to characterise the clinical features and treatment regimens of patients with lupus who have lymphadenopathy (LAP), as well as to investigate the presence and potential implications of Langerhans cells (LCs) infiltration in lymph nodes.MethodsA case-control study was conducted to identify the clinical characteristics of newly diagnosed, treatment-naïve patients with lupus who have LAP. Lymph node biopsies were performed, and LC infiltration was assessed using immunohistochemical staining for S100, CD1a and Langerin.ResultsA total of 59 patients with SLE who have LAP (SLE-LAP) were enrolled, with 81 patients with SLE without LAP serving as controls. The SLE-LAP group exhibited significantly higher frequencies of fever (64.4% vs 35.8%, p<0.001), anaemia (71.2% vs 42.0%, p<0.001), serous effusion (27.1% vs 11.1%, p=0.015), myositis (10.2% vs 1.2%, p=0.045) and elevated CRP levels (44.1% vs 22.2%, p=0.006). Moreover, autoantibodies, including anti-Smith (37.3% vs 16.0%, p=0.004), anticardiolipin IgG (27.1% vs 11.1%, p=0.015), IgM (42.4% vs 9.9%, p<0.001) and IgA (8.5% vs 0.0%, p=0.027), were more frequently detected in the LAP group. LC infiltration was confirmed in 29 of the 59 lymph node biopsies (49.2%). Immunohistochemical analysis revealed a scattered (58.6%) or focal (41.4%) distribution of LCs. Patients with LC infiltration predominantly presented with fever (72.4%), anaemia (64.3%), skin rashes (62.1%) and arthritis (62.1%). However, no significant differences in clinical manifestations were observed between LC-positive and LC-negative patients.ConclusionLC infiltration in the lymph nodes of patients with SLE is relatively common and should be carefully evaluated to prevent misdiagnosis. The role of LCs in the autoimmune response and pathogenesis of SLE warrants further investigation.