This paper proposes a First-Finished First-Scheduled(FFFS) algorithm of single-resource task schedule for the micro-satellite named EFFFS to resolve the conflicts among tasks which have an exclusion relation and the same priority, analyzes the performance of the algorithm, and compare it with other algorithms.Test results show that the algorithm has less time complexity and better performance, and it is suitable for the environment with limited computing resources.
Suffusion erosion may occur in sandy gravel dam foundations that use suspended cutoff walls. This erosion causes a loss of fine particles, degrades the soil strength and deformation moduli, and adversely impacts the cutoff walls of the dam foundation, as well as the overlying dam body. A comprehensive evaluation of these effects requires models that quantitatively describe the effects of fine particle losses on the stress-strain relationships of sandy gravels. In this work, we propose an experimental scheme for studying these types of models, and then perform triaxial and confined compression tests to determine the effects of particle losses on the stress-strain relationships. Considering the Duncan-Chang E-B model, quantitative expressions describing the relationship between the parameters of the model and the particle losses were derived. The results show that particle losses did not alter the qualitative stress-strain characteristics of the soils; however, the soil strength and deformation moduli were degraded. By establishing the relationship between the parameters of the model and the losses, the same model can then be used to describe the relationship between sandy gravels and erosion levels that vary in both time and space.
Abstract Background In this prospective nation-wide survey of bloodstream isolates associated with first episode of FN in high-risk cancer patients from 14 US cancer centers (December 2016 and June 2018), viridans group Streptococci (VGS) were the most common Gram-positive isolate. We sought to clinically and microbiologically characterize VGS bloodstream infections (BSI). Methods Among 343 patients,we compared 90 with VGS vs 253 with non-VGS BSI. Minimum inhibitory concentrations for blood culture isolates were determined by broth dilution for selected agents at our reference microbiology laboratory (UNMC). Clinical data were electronically captured in RedCap, including local site isolate identification and confirmatory reference lab identification via MALDI. Categorical and continuous variables were assessed via chi-square and Mann–Whitney U tests, respectively. Results Ninety-two VGS isolates were identified among 90 FN patients, representing 27% of all BSI isolates. S. mitis or oralis comprised 64 (70%) of VGS. There were no differences between age, sex, and primary diagnosis (50% with AML) among the 2 groups; 1/3 were HSCT recipients. Fluoroquinolone prophylaxis was used in 64 (71%) vs. 139 (55%), P < 0.01, in VGS vs non-VGS groups. Critical illness composite (new need for pressor(s), mechanical ventilation or death within 30 days) was 6 (7%) vs. 44 (17%), P = 0.01, in the VGS vs non-VGS groups. Figure 1 displays an overview of antibiotic susceptibilities for 79 testable isolates. VGS susceptibilities to levofloxacin, penicillin, and ceftriaxone were 39%, 47%, and 94%, respectively. Conclusion VGS are common pathogens in FN patients. Prior fluoroquinolone prophylaxis use may be a risk factor. VGS BSI was not associated with increased critical illness compared with non-VGS. Finally, assuming ceftriaxone susceptibility confers that of cefepime, >90% of VGS are susceptible to empiric FN cefepime regimens. Disclosures All authors: No reported disclosures.
Mobile apps are born to work in an environment with ever-changing network connectivity, random hardware interruption, unanticipated task switches, etc. However, such interference cases are often oblivious in traditional mobile testing but happen frequently and sophisticatedly in the field, causing various robustness, responsiveness and consistency problems. In this paper, we propose JazzDroid to introduce interference to mobile testing. JazzDroid adopts a gray-box approach to instrument apps at binary level such that interference logic is inlined with app execution and can be triggered to effectively affect normal execution. Then, JazzDroid repeatedly orchestrates the instrumented app through app developers' existing tests and continuously randomizes interference on the fly to reveal possible faulty executions. Upon discovering problems, JazzDroid generates a test script with the user inputs from developers' tests and the interference injected for developers to reproduce the problems. At a high level, JazzDroid can be seamlessly integrated into app developers' testing procedures, detecting more problems from existing tests. We implement JazzDroid to function on unmodified apps directly from app markets and interface with de facto industrial testing toolchain. JazzDroid improves mobile testing by discovering 6x more problems, including crashes, functional bugs, UI consistency issues and common bug patterns that fail numerous apps.
To explore the role of mitochondrial DNA 5178 C/A (Mt5178) polymorphism of NADH-dehydrogenase subunit 2 (ND2) gene in type-2 diabetes mellitus (T2DM) among ethnic Han Chinese through a case-control study.The Mt5178C/A polymorphism was determined by sequencing 1103 T2DM patients and 791 healthy controls. Logistic regression analysis was conducted to estimate odds ratios (OR) and 95% confidence intervals (CI). To confirm the results, a meta-analysis was conducted based on published literature on the association of Mt5178 variant with T2DM.No significant association was found between the Mt5178C/A variant and T2DM either by our study or the meta-analysis which included eight published studies. Nevertheless, it was found that the T2DM patients with 5178C genotype were at a higher risk for nephropathy complication (OR=1.49, 95%CI: 1.005-2.197, P<0.05) and at significantly lower risk for hypertension complication (OR=0.744, 95%CI: 0.556-0.996, P<0.05) compared with those carrying a 5178A genotype.No association was found between the Mt5178C/A polymorphism of mitochondrial ND2 gene with the increased risk of T2DM. However, the polymorphism may affect the development of nephropathy and hypertension complications among T2DM patients.
Abstract Background Blood stream infection (BSI) during neutropenia is associated with high risk for morbidity and mortality in patients with hematologic malignancies receiving chemotherapy or undergoing hematopoietic cell transplant (HCT). We sought to identify factors associated with increased risk for critical illness (CI) morbidities within 7 days of BSI with index FN following chemotherapy. Methods A prospective ongoing survey among 14 high-volume US cancer centers submitting clinical and microbiologic data from consecutive HM patients with blood stream infection (BSI) during first FN after cytotoxic chemotherapy or HCT. We evaluated factors influencing poor outcomes defined as critical illness (need for pressor support, mechanical ventilation, new pneumonia or new BSI) within 7 days of BSI with index FN. Concordance between antibiotic and BSI isolate was determined by investigator (AZ, AF) interpretation of susceptibility reports provided by each center compared with the initial antimicrobial regimen (IAR) used, for single organism bacteremias only. Results Among 294 FN bacteremic episodes (93 HCT) were 336 bacterial pathogens (48.5% Gram-negative [GN], 46.5% Gram-positive [GP], and 6% anaerobes). Death occurred in 11/294 (4%) and 41/294 (14%) had CI by day 8. At FN presentation, mean MASCC score of those with CI vs. those without was 16.9 vs. 18.6 (P = 0.03) and there was a trend toward higher mean PITT scores for patients with CI by day 8 vs. those without (1.54 vs. 0.82 (P = 0.08)). Among GN bacteremias, 15% developed CI vs. 14.5% in nonviridans group Streptococci (VGS) GP bacteremias, and 10.9% in VGS bacteremias (NS). Among patients with single organism bacteremias (88% of all BSI), mismatch of IAR coverage with isolate susceptibilities occurred in 16.7% (38/227). Among patients whom IAR was active vs. inactive against BSI isolate, 16% vs 14.3%, respectively, developed CI (P = 0.81). Conclusion These data indicate that the MASCC score applied to high-risk inpatients may be a predictor for CI in the first week after bacteremia FN. The PITT shows less correlation with poor outcomes. There was no association between isolate type (GN, GP, or VGS) and CI. Notably there was no association between mismatched BSI susceptibility and antimicrobial spectrum of the IAR and early CI. Disclosures A. G. Freifeld, Merck: Investigator, Research grant. A. Zimmer, Merck: Investigator, Research grant. S. Pergam, Merck: Consultant, Consulting fee. Chimerix: Consultant, Consulting fee. K. V. Rolston, Merck: Investigator, Research grant. JMI Laboratories: Investigator, Research grant. Shionogi (Japan): Investigator, Research grant. S. Shoham, Merck: Investigator and Scientific Advisor, Consulting fee and Grant recipient. Astellas: Investigator, Grant recipient. Shionogi (Japan): Investigator, Grant recipient. Gilead: Investigator, Grant recipient. Shire: Investigator, Grant recipient. T. J. Walsh, Merck: Grant Investigator, Research grant. Atellas: Consultant, Grant Investigator and Scientific Advisor, Consulting fee and Research grant. Gilead: Scientific Advisor, Consulting fee. Allergan: Grant Investigator and Scientific Advisor, Consulting fee and Research grant. Scynexis: Grant Investigator, Research grant. Amplyx: Grant Investigator, Research grant. Shionogi: Scientific Advisor, Consulting fee. J. A. Young, GSK: Investigator, The University of Minnesota is reimbursed for contract costs associated with conducting clinical trials of vaccine. I receive no personal financial benefit. Y. Zhang, Merck: Investigator, Research grant. J. Meza, Merck: Investigator, Research grant.
Based on the systemic coring data and analysis test data,combined with well logging and seismic data,and according to the characteristics of lava lithology,electrical property,petrochemistry and so on,along with the seismic reverberation of different lithology and lithofacies,volcanic strata of Kalagang Formation in Niu-dong area in Malang sag of Santanghu basin can be divided into different units,such as layer,cyclothem,period,and sub-gyration.Regarding volcanic eruptible period as the basal unit of lava stratigraphic division and correlation,the lava stratigraphic division and correlation in this area has been done.The study indicates that fracture eruption is the main eruptible mode in Kalagang Formation.Volcanic distribution reveals that the thickness and number of the volcanic layer decrease distinctly from southwest to northeast.Kalagang Formation has the thickness of more than 1,000 meters and can be divided into eight sub-volcanic eruptible periods and four sub-gyrations.
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