PersonRank: Detecting Important People in Images

Always, some individuals in images are more important/attractive than others in some events such as presentation, basketball game or speech. However, it is challenging to find important people among all individuals in images directly based on their spatial or appearance information due to the existence of diverse variations of pose, action, appearance of persons and various changes of occasions. We overcome this difficulty by constructing a multiple Hyper-Interaction Graph to treat each individual in an image as a node and inferring the most active node referring to interactions estimated by various types of clews. We model pairwise interactions between persons as the edge message communicated between nodes, resulting in a bidirectional pairwise-interaction graph. To enrich the personperson interaction estimation, we further introduce a unidirectional hyper-interaction graph that models the consensus of interaction between a focal person and any person in a local region around. Finally, we modify the PageRank algorithm to infer the activeness of persons on the multiple Hybrid-Interaction Graph (HIG), the union of the pairwise-interaction and hyperinteraction graphs, and we call our algorithm the PersonRank. In order to provide publicable datasets for evaluation, we have contributed a new dataset called Multi-scene Important People Image Dataset and gathered a NCAA Basketball Image Dataset from sports game sequences. We have demonstrated that the proposed PersonRank outperforms related methods clearly and substantially.Comment: 8 pages, conferenc

Dexmedetomidine mitigates myocardial ischemiareperfusion injury via regulation of HMGB1-TLR4-NF-κB signaling axis

Purpose: To study the effect of dexmedetomidine (Dex) on myocardial ischemia-reperfusion injury (MIRI), and the associated mechanism of action.Methods: Sixty Sprague-Dawley (SD) rats were assigned to sham, ischemia-reperfusion (I/R), Dex, and MD groups (methyllycaconitine prior to injection with Dex), with 15 rats in each group. Pathological changes in myocardial tissues were determined in all groups. Protein expression levels of HMGB1, TLR4, NF-κB and myeloid differentiation protein 88 (MyD88) in serum and myocardial tissues were assayed and compared.Results: Protein levels of HMGB1, TLR4, MyD88 and NF-κB were significantly higher in heart muscle I/R rats than those in sham group, but lower in heart muscle of rats in Dex group than in heart muscle of I/R rats (p < 0.05). However, they were significantly up-regulated in MD group, relative to Dex group (p< 0.05).Conclusion: Dex exerts a protective effect against ischemia/reperfusion-induced myocardial damage via HMGB1-TLR4-NF-κB signal axis via CAP, and thus, is a potential agent for the management of myocardial disease

Relationship between Whole-Blood Magnesium and Cognitive Performance among Chinese Adults

Objective: To explore the association between magnesium levels and the odds of mild cognitive impairment (MCI). Method: In this cross-sectional study of 1006 participants (≥55 years) from China, whole-blood magnesium concentration was measured using inductively coupled plasma mass spectrometry. MCI was diagnosed according to Petersen criteria using self-reported cognitive decline and a neuropsychological test battery, including the trail-making test-part B (TMT-B), auditory verbal learning test (AVLT), digit symbol substitution test (DSST), and verbal fluency test (VFT), which measured the assessment of executive, memory, attention, and language functioning, respectively. A logistic regression was used to assess the relationship between magnesium levels and MCI, and linear regression analyses were performed for the association between magnesium and cognitive function score. Results: The MCI group had a significantly lower concentration of magnesium compared to the Non-MCI group (34.7 ± 9.8 vs. 36.7 ± 9.7, p = 0.017). After adjusting for covariates, a negative association was observed between magnesium levels and MCI. Compared with the lowest quartile (median: 25.4 mg/L), the odds ratio for MCI was 0.53 (95%CI 0.32–0.90) for the highest quartile (median: 48.4 mg/L), and there was an inverse dose–response relationship (p for trend = 0.009). In addition, higher levels of magnesium were positively correlated with VFT scores (β = 0.37, 95%CI = 0.11–0.62) and DSST scores (β = 0.50, 95%CI = 0.01~0.98) and negatively correlated with TMT scores (β = −1.73, 95%CI = −3.40–−0.07) in the middle-aged and older adults. Conclusions: Whole-blood magnesium was inversely associated with the occurrence of MCI and positively associated with performance in neuropsychological tests assessing attention, executive, and language ability in middle-aged and older adults

CYP1B1: A Novel Molecular Biomarker Predicts Molecular Subtype, Tumor Microenvironment, and Immune Response in 33 Cancers

Background: Cytochrome P450 Family 1 Subfamily B Member 1 (CYP1B1) is a critical metabolic enzyme of melatonin. Although melatonin has been identified to exhibit tumor suppressing activity, the role and mechanism of the clinical and immunological characteristics of CYP1B1 in cancer remain unclear. Methods: In this study, RNA expression and clinical data were obtained from The Cancer Genome Atlas (TCGA) across 33 solid tumors. The expression, survival, immune subtype, molecular subtype, tumor mutation burden (TMB), microsatellite instability (MSI), biological pathways, and function in vitro and vivo were evaluated. The predictive value of CYP1B1 in immune cohorts was further explored. Results: We found the dysregulated expression of CYP1B1 was associated with the clinical stage and tumor grade. Immunological correlation analysis showed CYP1B1 was positively correlated with the infiltration of lymphocyte, immunomodulator, chemokine, receptor, and cancer-associated fibroblasts (CAFs) in most cancer. Meanwhile, CYP1B1 was involved in immune subtype and molecular subtype, and was connected with TMB, MSI, neoantigen, the activation of multiple melatonergic and immune-related pathways, and therapeutic resistance. Conclusions: Together, this study comprehensively revealed the role and mechanism of CYP1B1 and explored the significant association between CYP1B1 expression and immune activity. These findings provide a promising predictor and molecular target for clinical immune treatment

Regression predictive modeling of high-speed motorized spindle using POA-LSTM

With the increasing importance of motorized spindles in high-end machining, the accuracy requirements for motorized spindles have been increasing. Therefore, the accuracy problem caused by thermal deformation of the motor spindle during machining has become a prominent and current topic of interest. The problem of thermal deformation of the spindle is due to the fact that a large amount of heat is accumulated inside the spindle during the high-speed rotation of the electric spindle, which has no timely temperature compensation measures and can only rely on the conditions of heat conduction, heat convection and heat radiation to transfer the heat to the outside world, which leads to the thermal expansion of the spindle. Aiming at this problem, this paper takes the A02 electric spindle as the research object, and collects and analyzes the temperature information of the current temperature rise of the key parts of the electric spindle and the thermal elongation of the spindle by constructing the experimental platform for thermal simulation and analysis; and then through the COMSOL steady-state simulation cloud diagram combined with the K-means clustering and gray correlation analysis, it filters out the four temperature points with the highest correlation degree of the temperature data, and constructs the POA-LSTM thermal error model to predict the thermal elongation of the spindle at different rotational speeds, and compared the accuracy of SSA-LSTM and LSTM thermal error models, at a high rotational speed of 10,000 r/min, the accuracies of Early LSTM, SSA-LSTM, and LSTM were 97.44 %, 90.27 %, and 86.66 %, respectively, and the model accuracy of POA-LSTM was about 98.257 %; thus the POA-LSTM thermal error model has high prediction accuracy and robustness

Effects of genus Epimedium in the treatment of osteoarthritis and relevant signaling pathways

Abstract Osteoarthritis (OA) is a common chronic degenerative joint disease in clinical practice with a high prevalence, especially in the elderly. Traditional Chinese Medicine (TCM) believes that OA belongs to the category of “Bi syndrome” and the “bone Bi syndrome”. The etiology and pathogenesis lie in the deficiency of the liver and kidney, the deficiency of Qi and blood, and external exposure to wind, cold, and dampness. Epimedium is a yang-reinforcing herb in TCM, which can tonify the liver and kidney, strengthen muscles and bones, dispel wind, cold and dampness, and can treat both the symptoms and the root cause of “bone Bi syndrome”. In addition, Epimedium contains a large number of ingredients. Through modern science and technology, more than 270 compounds have been found in Epimedium, among which flavonoids are the main active ingredients. Therefore, our study will review the effects and mechanisms of genus Epimedium in treating OA from two aspects: (1) Introduction of Epimedium and its main active ingredients; (2) Effects of Epimedium and its active ingredients in treating OA and relevant signaling pathways, in order to provide more ideas for OA treatment

Study on the Synergistic Effect of Primary Support and Surrounding Rock of Large Buried Depth Tunnel in Soft and Fractured Strata

The soft and fractured strata can cause significant deformation of surrounding rock during tunnel excavation. This study analyzes field monitoring test results and compares numerical simulations from the third bid project of the Dali I section construction within the water diversion project in central Yunnan to address the issue of significant deformation following tunnel excavation in soft and fractured strata. It proposes an optimized support scheme consisting of a densified steel arch and enhanced initial support strength and stiffness. In addition, the research investigates support effectiveness considering varying support strengths and steel arch ring spacing. The study findings indicated the following: (1) The tunnel traverses soft and fractured strata, causing unevenly distributed vertical convergence deformation around the cavern. The maximum settlement occurs at the crown, showing pronounced nonlinearity. (2) The maximum stress in the steel arch is concentrated at the arch crown, measuring −19.02 MPa. The arch remains compressed, with stress decreasing from the crown to the waist. (3) The axial force in the anchor bolt reduces from the crown to the arch’s waist on both sides. As the depth of the rock mass increases, the axial force in each anchor bolt decreases and the tension state is maintained. The maximum axial force reaches 46.57 kN. (4) The maximum displacement decreases from 4.21 to 0.15 cm after the optimized support structure is implemented, demonstrating the optimization scheme’s effectiveness. Future constructions can refer to this scheme and make necessary adjustments based on various terrain conditions to ensure safety

Effect of lubricants on microstructure and properties of metal abrasive tools via wet molding

To study the microstructure and the thermodynamic properties of lubricants, as well as their effects on the structure and mechanical property of wet-forming or sintered materials, different lubrication release agents are added into metal abrasive tools which are fabricated with wet forming and degreasing sintering process. Synchronous thermal analyzer, scanning electron microscope and X-ray diffractometer are used to analyze the performance of the samples. The results indicate that the the residual degreasing amount of zinc stearate is about 20.00% while that of HV1 lubricant is only 3.00%. The residue of zinc stearate is the aggregate of nanometer particles and the counterpart of HV1 is ～10 μm interlocking irregular particles. Both HV1 and zinc stearate lubricant have better release effect on wet molding. However, adding HV1 or zinc stearate lubricant reduces the density of the compact by 0.5% or 5%, the density of sintered samples by 1.5% or 3.4%, and the bending strength by 4.4% or 9.1%, respectively. Compared with zinc stearate lubricant, HV1 has good demoulding effect and less influence on the properties of the compact and the sample, which is more suitable for metal abrasives of wet forming applications