The APC Algorithm of Solving Large-Scale Linear Systems: A Generalized Analysis

A new algorithm called accelerated projection-based consensus (APC) has recently emerged as a promising approach to solve large-scale systems of linear equations in a distributed fashion. The algorithm adopts the federated architecture, and attracts increasing research interest; however, it's performance analysis is still incomplete, e.g., the error performance under noisy condition has not yet been investigated. In this paper, we focus on providing a generalized analysis by the use of the linear system theory, such that the error performance of the APC algorithm for solving linear systems in presence of additive noise can be clarified. We specifically provide a closed-form expression of the error of solution attained by the APC algorithm. Numerical results demonstrate the error performance of the APC algorithm, validating the presented analysis.Comment: 6 pages, 3 figure

The effectiveness of ultrasound-guided core needle biopsy in detecting lymph node metastases in the axilla in patients with breast cancer: systematic review and meta-analysis

Objective: This study aimed to perform a meta-analysis to investigate the diagnostic safety and accuracy of Ultrasound-Guided Core Needle Biopsy (US-CNB) Axillary Lymph Nodes (ALNs) region in patients with Breast Cancer (BC). Methods: The authors searched the electronic databases PubMed, Scopus, Embase, and Web of Science for clinical trials about US-CNB for the detection of ALNs in breast cancer patients. The authors extracted and pooled raw data from the included studies and performed statistical analyses using Meta-DiSc 1.4 and Review Manager 5.3 software. A random effects model was used to calculate the data. At the same time, data from the Ultrasound-guided Fine-Needle Aspiration (US-FNA) were introduced for comparison with the US-CNB. In addition, the subgroup was performed to explore the causes of heterogeneity. (PROSPERO ID: CRD42022369491). Results: In total, 18 articles with 2521 patients were assessed as meeting the study criteria. The overall sensitivity was 0.90 (95% CI [Confidence Interval], 0.87‒0.91; p = 0.00), the overall specificity was 0.99 (95% CI 0.98‒1.00; p = 0.62), the overall area under the curve (AUC) was 0.98. Next, in the comparison of US-CNB and US-FNA, US-CNB is better than US-FNA in the diagnosis of ALNs metastases. The sensitivity was 0.88 (95% CI 0.84‒0.91; p = 0.12) vs. 0.73 (95% CI 0.69‒0.76; p = 0.91), the specificity was 1.00 (95% CI 0.99‒1.00; p = 1.00) vs. 0.99 (95% CI 0.67‒0.74; p = 0.92), and the AUC was 0.99 vs. 0.98. Subgroup analysis showed that heterogeneity may be related to preoperative Neoadjuvant Chemotherapy (NAC) treatment, region, size of tumor diameter, and the number of punctures. Conclusion: US-CNB has a satisfactory diagnostic performance with good specificity and sensitivity in the preoperative diagnosis of ALNs in BC patients

Identifying vital nodes in recovering dynamical process of networked system

Vital nodes identification is the problem of identifying the most significant nodes in complex networks, which is crucial in understanding the property of the networks and has applications in various fields such as pandemic controlling and energy saving. Traditional methods mainly focus on some types of centrality indices, which have restricted application cases. To improve the flexibility of the process and enable simultaneous multiple nodes mining, a deep learning-based vital nodes identification algorithm is proposed in this study, where we train the influence score of each node by using a set of nodes to approximate the rest of the network via the graph convolutional network. Experiments are conducted with generated data to justify the effectiveness of the proposed algorithm. The experimental results show that the proposed method outperforms the traditional ways in adaptability and accuracy to recover the dynamical process of networked system under different classes of network structure

Golgi Phosphoprotein 3 Promotes Wls Recycling and Wnt Secretion in Glioma Progression

Background/Aims: Golgi phosphoprotein 3 (GOLPH3) plays pro-malignancy roles in several types of cancer. However, the molecular mechanism underlying GOLPH3 promoting tumor progression remains poorly understood. Methods: The expression of GOLPH3 and Wntless (Wls) in glioma tissues was examined by western blotting and immunohistochemistry. EdU incorporation assay and colony formation assay was used to examine the cell growth ability. The effect of GOLPH3 on Wls recycling, Wnt secretion and β-catenin activity was detected using western blotting, immunofluorescence, RT-PCR, ELISA or luciferase assay. Results: The protein levels of GOLPH3 and Wls were upregulated and positively correlated with each other in human glioma tissues. The promoting effect of GOLPH3 on glioma cell proliferation was partially mediated by Wls. In addition, GOLPH3 interacted with Wls and GOLPH3 down-regulation drove Wls into lysosome for degradation, inhibiting its recycling to golgi and the plasma membrane. Importantly, GOLPH3 down-regulation inhibited Wnt2b secretion and decreased β-catenin level and transcription activity. Conclusions: This study provides a brand new evidence that GOLPH3 promotes glioma cell proliferation by facilitating Wls recycling and Wnt/β-catenin signaling. Our findings suggest a rationale for targeting the GOLPH3-Wls-Wnt axis as a promising therapeutic approach for glioblastoma

Preparation and electrocatalytic performance of gasification slag residual carbon particle electrode

Coal chemical industry is one of the economic pillars of China. Coal gasification slag and gasification wastewater are the wastes produced in the process of coal gasification, and the current treatment is too simple and causes great pollution to the environment. In this paper, microemulsion was used as the capture agent for flotation of coal gasification fine slag, and the physicochemical properties of residual charcoal were analysed by means of industrial analyser, FTIR, BET, SEM, XRD, Raman, XPS and other means of characterization, and the electrochemical properties of the residual charcoal were analysed by means of CV, EIS test, and the electrochemical properties and stability of the residual charcoal as a particle electrode in the three-dimensional electrochemical system were examined, and the feasibility of using it as a The feasibility of the residual carbon as a particle electrode was investigated, and the mechanism of ammonia nitrogen removal by the residual carbon particle electrode was proposed to be analysed. The results show that the flotation residual carbon has a high specific surface area, and the pore structure is dominated by mesopores. In addition, some of the carbon in the residual carbon exhibits a certain degree of electrical conductivity due to graphitization, which provides a basis for its electrochemical applications. In addition, the residual carbon particles electrocatalytic system had lower electrical resistance, which was conducive to accelerating the charge transfer rate. The three-dimensional electrocatalytic system of residual carbon particles had 19.82% higher ammonia nitrogen removal rate than the two-dimensional electrocatalytic system under the same conditions of ammonia nitrogen wastewater degradation, and it has certain catalytic ability.In the residual charcoal particle electrode cycling test, the residual charcoal particles were reused for five times, and the removal rate of ammonia nitrogen only decreased by 5.3%, and this result shows that the residual charcoal particle electrode has good stability. In this paper, a novel particle electrode material in a three-dimensional electrocatalytic system is developed, and through systematic characterisation and performance evaluation, it is demonstrated that the residual charcoal particle electrode of gasification slag has great potential in improving the efficiency of wastewater treatment. The development of residual charcoal particle electrode provides a new idea for the resourceful utilisation of gasification slag, and also provides a new method for wastewater degradation treatment technology

Impact of a mobile health intervention based on multi-theory model of health behavior change on self-management in patients with differentiated thyroid cancer: protocol for a randomized controlled trial

IntroductionTheoretical models of health behavior are important guides for disease prevention and detection, treatment and rehabilitation, and promotion and maintenance of physical and mental health, but there are no intervention studies related to differentiated thyroid cancer (DTC) that use theoretical models of health as a guide. In this study, we used a microblogging platform as an intervention vehicle and mobile patient-doctor interactive health education as a means of intervention, with the aim of improving the health behaviors of DTC patients as well as the corresponding clinical outcomes.MethodsThis research project is a quantitative methodological study, and the trial will be a single-blind, single-center randomized controlled trial conducted at the Fourth Hospital of Harbin Medical University in Harbin, Heilongjiang Province. The study subjects are patients over 18 years of age with differentiated thyroid cancer who were given radioactive iodine-131 therapy as well as endocrine therapy after radical surgery for thyroid cancer. The intervention group will receive MTM-mhealth, and the realization of health education will rely on the smart terminal WeChat platform. Routine discharge education will be given to the control group at discharge. The primary outcome will be change in thyroid-stimulating hormone (TSH) from baseline and at 3 and 6 months of follow-up, and secondary outcomes will include change in self-management behavior, social cognitive and psychological, and metabolic control.DiscussionThis study will explore a feasible mHealth intervention program applied to a population of DTC patients using the Multi-theory model of health behavior change (MTM) as a guide, with the aim of evaluating the MTM-based intervention program for clinical outcome improvement in DTC patients, as well as determining the effectiveness of the MTM-based intervention program in improving self-management skills in DTC patients. The results of this study will indicate the feasibility as well as the effectiveness of the application of health theoretical modeling combined with mHealth applications in disease prognostic health management models, and provide policy recommendations and technological translations for the development of mobility-based health management applications in the field of health management

Interpretation of Cultural Conflict in The Joy Luck Club from Perspective of High-context and Low-context Cultures

The Joy Luck Club, a masterpiece by Amy Tan, tells the story of the mother-daughter conflicts, focusing on the differences between Chinese culture and American culture. According to the theory of high-context and low-context cultures put forward by Eward T. Hall, Chinese culture can be classified as a high-context culture, while American culture is classified as a low-context culture. In light of high-context and low-context cultures theory, this paper deeply analyzes mother-daughter conflicts in The Joy Luck Club, aiming to provide reference for exploring the right way to resolve cultural conflict. In this paper, the author introduces the main differences of high and low-context cultures, on the basis of which the cultural conflict between Chinese and American reflected in The Joy Luck Club were summarized and analyzed. The conflicts can be divided into three aspects: different ways of language expression, different understandings of the relationship between parents and children and different ways of emotional expression

Experimental investigation of the thermal-hydraulic characteristics of liquid cooling heat sinks with novel pin fins

Pin-fin heat sinks (PFHSs) in single-phase liquid cooling systems possess significant potential for extracting higher levels of heat from avionics. However, there is a scarcity of investigations on PFHSs with innovative pin fin shapes. Here, petaloid I and II, pinwheel-like, and honeycombed shapes were designed, and their thermal-hydraulic characteristics were examined under inlet temperatures of 10 and 20 °C, flow rates of 400–2000 mL/min, and heat fluxes of 60–150 kW/m2. Among these PFHSs, the honeycombed shape exhibited the highest heat transfer coefficient, followed by the pinwheel-like shape; they also displayed the lowest wall temperature. However, their Nusselt numbers were lower than those of petaloid heat sink I. The Nusselt number of each heat sink exhibited a downward trend with the increasing inlet temperature and heat flux, while the friction factor remained largely unaffected. The performances were evaluated by a comprehensive factor, and the honeycombed PFHS ranked first. New correlations for the Nusselt number and friction factor of these PFHSs were developed. The mean absolute deviations were all less than 5%, with most predicted values falling within the ±5% range compared to experimental values. These novel heat sinks are crucial for enhancing the performance of airborne liquid cooling systems

Study on the flow boiling characteristics of novel pin fin heat sinks in a two-phase mechanically pumped cooling loop

As a new thermal control technology, a two-phase mechanically pumped cooling loop (MPCL) holds promise in addressing cooling issues of avionics. The heat sinks in MPCL can remove heat from avionics to refrigerant. Since previous research focused primarily on conventional heat sinks, three novel pin fin heat sinks (PFHSs) were investigated based on an MPCL. With increasing heat flux, heat transfer coefficient (HTC) and frictional pressure drop (FPD) increase. With the inlet state from subcooled to saturated and then to two-phase, HTC and FPD increase. Increasing inlet saturation temperature yields an increase in HTC and heating wall temperature (Tw). An increase in flow rate inhibits heat transfer deterioration while inducing significant growth in FPD. When heat flux is below 150 kW/m2, the petaloid I PFHS has the best temperature control performance, while the honeycombed PFHS has the best FPD. When heat flux exceeds 150 kW/m2, HTC decreases rapidly after reaching the peak. Increasing average vapor quality leads to a slight decrease in Tw but an increase in FPD. When heating load is started, flow rate decreases and Tw and pressure drop increase significantly, but they can gradually stabilize. These findings have significant implications for optimizing the MPCL