An Efficient Parallel Solver for SDD Linear Systems

We present the first parallel algorithm for solving systems of linear equations in symmetric, diagonally dominant (SDD) matrices that runs in polylogarithmic time and nearly-linear work. The heart of our algorithm is a construction of a sparse approximate inverse chain for the input matrix: a sequence of sparse matrices whose product approximates its inverse. Whereas other fast algorithms for solving systems of equations in SDD matrices exploit low-stretch spanning trees, our algorithm only requires spectral graph sparsifiers

Induction of heartwood formation in young Indian sandalwood (Santalum album L.) by gas elicitors

Induction of heartwood formation in 6-year-old Indian sandalwood (Santalum album L.) trees by treatment with carbon dioxide, ethylene, nitrogen, and wounding was investigated. All treatments induced fragrant heartwood formation upward and downward from the drill hole. The amount of heartwood formed above and below the drill hole depended on the treatment in the order nitrogen>carbon dioxide>ethylene>wounding, whereas the radial extension proportion was, in order, nitrogen>carbon dioxide>ethylene=wounding. Based on the chemical analysis (GC–MS) and evaluation of the essential oil quality and heartwood properties, heartwood induced by carbon dioxide showed the maximum similarities to naturally formed heartwood, which included the same color, similar chemical composition, reasonable oil content, and quality essential oil, whereas ethylene, nitrogen, and wounding treatment showed fewer similarities to natural heartwood. The results suggest that carbon dioxide is a promising candidate gas elicitor for inducing heartwood formation in young S. album

OptScaler: A Hybrid Proactive-Reactive Framework for Robust Autoscaling in the Cloud

Autoscaling is a vital mechanism in cloud computing that supports the autonomous adjustment of computing resources under dynamic workloads. A primary goal of autoscaling is to stabilize resource utilization at a desirable level, thus reconciling the need for resource-saving with the satisfaction of Service Level Objectives (SLOs). Existing proactive autoscaling methods anticipate the future workload and scale the resources in advance, whereas the reliability may suffer from prediction deviations arising from the frequent fluctuations and noise of cloud workloads; reactive methods rely on real-time system feedback, while the hysteretic nature of reactive methods could cause violations of the rigorous SLOs. To this end, this paper presents OptScaler, a hybrid autoscaling framework that integrates the power of both proactive and reactive methods for regulating CPU utilization. Specifically, the proactive module of OptScaler consists of a sophisticated workload prediction model and an optimization model, where the former provides reliable inputs to the latter for making optimal scaling decisions. The reactive module provides a self-tuning estimator of CPU utilization to the optimization model. We embed Model Predictive Control (MPC) mechanism and robust optimization techniques into the optimization model to further enhance its reliability. Numerical results have demonstrated the superiority of both the workload prediction model and the hybrid framework of OptScaler in the scenario of online services compared to prevalent reactive, proactive, or hybrid autoscalers. OptScaler has been successfully deployed at Alipay, supporting the autoscaling of applets in the world-leading payment platform

Analysis of weighted co-regulatory networks in maize provides insights into new genes and regulatory mechanisms related to inositol phosphate metabolism

Sub-network 1 and 2 of “magenta2”, node annotation. (XLSX 10 kb

The Statistical Damage Constitutive Model of Longmaxi Shale under High Temperature and High Pressure

AbstractIn the exploitation of shale gas in deep and ultradeep formations, the mechanical properties of shale change under the action of high temperature and pressure. High-temperature stimulation can effectively release the damage of water phase trapping, which was caused during the drilling and completion of hydraulic fracturing of shale gas reservoirs. In this paper, the experiments have twelve groups of shale samples (three samples per group) under four target temperatures, 25, 200, 400, and 600°C as well as the confining pressure set as 0 MPa, 15 MPa, and 30 MPa. The servo testing machine is used to perform triaxial compression tests on the shale specimens that have undergone high temperature. The porosity, permeability, and velocity are also obtained under different temperatures. A statistical constitutive model of shale after temperature thermal damage under triaxial compression is established. Based on the characteristics of the random statistical distribution of rock strength and strain strength theory, apply relevant knowledge of damage mechanics as well as consider the failure of the microprotocol and the nonlinear relationship between elastic modulus and temperature. According to the test results, the relationship between the mechanical parameters of the shale and the temperature is discussed. The parameters of the statistical constitutive model considering temperature thermal damage are given also; a comparison with the results of uniaxial compression experiments shows the rationality and reliability. This work not only enriches the theory of shale failure pattern but also contributes to the deep shale development at high temperature

Reporting of ethical considerations in clinical trials in Chinese nursing journals

Background: It is acknowledged that publishers now require all primary research papers to demonstrate that they have obtained ethical approval for their research. Objectives: To assess the rate of reporting of ethical approval in clinical trials in core nursing journals in mainland China. Research design: A retrospective observational study. Participants: All clinical trials published in all of the 12 core nursing periodicals from 2016 edition China Science and Technology Journal Citation Report (core version) between 2013 and 2016 were retrieved by hand to explicate rate of reporting ethical approval and informed consent. Ethical considerations: The study did not require approval from the research ethics committee as it did not involve human subjects or records. Results: In total, 40,278 papers were published in 12 nursing periodicals between 2013 and 2016. Out of these, 9488 (23.6%) focused on clinical trials. Informed consent obtained from patients or the legally authorized representative was reported in 51.8% of clinical trials. Notably, only 27.4% of clinical trials reported that they had obtained written consent. Furthermore, 25.9% of clinical trials described ethical approval; however, the rate of reporting informed consent and ethical approval in these 12 nursing journals in China during 4 years from 2013 to 2016 improved markedly, with 38.1%, 44.0%, 59.0% and 66.6%, respectively (p<0.001), and 17.6%, 21.9%, 28.6% and 35.8%, respectively (p<0.001). In addition, both reporting informed consent and reporting written informed consent had a positive significant correlation with the reporting ethical approval (p<0.05 or p<0.01). Conclusion: Chinese scientific nursing journals have improved the rate of reporting informed consent and ethical approval in clinical trials during the last 4 years. However, it should be noted that nearly half of clinical trials still did not report either ethical approval or whether informed consent was obtained. Efforts from editors, researchers, sponsors and authors are needed to ensure the transparency of ethical scrutiny and adherence to ethical guidelines in publishing clinical trials in Chinese nursing journals

Neural Correlates of Feedback Processing in Visuo-Tactile Crossmodal Paired-Associate Learning

Previous studies have examined the neural correlates for crossmodal paired-associate (PA) memory and the temporal dynamics of its formation. However, the neural dynamics for feedback processing of crossmodal PA learning remain unclear. To examine this process, we recorded event-related scalp electrical potentials for PA learning of unimodal visual-visual pairs and crossmodal visual-tactile pairs when participants performed unimodal and crossmodal tasks. We examined event-related potentials (ERPs) after the onset of feedback in the tasks for three effects: feedback type (positive feedback vs. negative feedback), learning (as the learning progressed) and the task modality (crossmodal vs. unimodal). The results were as follows: (1) feedback type: the amplitude of P300 decreased with incorrect trials and the P400/N400 complex was only present in incorrect trials; (2) learning: progressive positive voltage shifts in frontal recording sites and negative voltage shifts in central and posterior recording sites were identified as learning proceeded; and (3) task modality: compared with the unimodal PA learning task, positive voltage shifts in frontal sites and negative voltage shifts in posterior sites were found in the crossmodal PA learning task. To sum up, these results shed light on cortical excitability related to feedback processing of crossmodal PA learning