20 research outputs found

    Parallel assembly of arbitrary defect-free atom arrays with a multi-tweezer algorithm

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    Defect-free atom arrays are an important precursor for quantum information processing and quantum simulation. Yet, large-scale defect-free atom arrays remain challenging to realize, due to the losses encountered when rearranging stochastically loaded atoms to achieve a desired target array. Here, we demonstrate a novel parallel rearrangement algorithm that uses multiple mobile tweezers to independently sort and compress atom arrays in a way that naturally avoids atom collisions. For a high degree of parallelism, the required number of moves scales as N^0.5 with respect to the target array size N, as opposed to existing single-tweezer algorithms that scale as N or larger. We further determine the optimal degree of parallelism to be a balance between the algorithmic speedup and intermodulation effects. The defect-free probability for a 225-atom array is demonstrated to be as high as 33(1)% in a room temperature setup after multiple cycles of rearrangement. The algorithm presented here can be implemented for any target array geometry with an underlying periodic structure

    Lobaplatin-based prophylactic hyperthermic intraperitoneal chemotherapy for T4 gastric cancer patients: A retrospective clinical study

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    ObjectiveTo explore the clinical efficacy of lobaplatin-based prophylactic hyperthermic intraperitoneal chemotherapy (HIPEC) for patients with T4 gastric cancer after surgery and to evaluate its impact on survival.Materials and methodsData on patients with T4 gastric cancer who underwent radical gastric resection between March 2016 and August 2017 were collected from the National Cancer Center and Huangxing Cancer Hospital. Enrolled patients were divided into two groups according to receiving or not receiving HIPEC.ResultsA total of 106 patients were included in this study; among them, 51 patients underwent radical gastric resection plus prophylactic HIPEC, and 55 patients underwent radical gastric resection only. The baseline characteristics were well balanced between the two groups. The postoperative platelet counts in the HIPEC group were significantly lower than those in the non-HIPEC group (P < 0.05); however, we did not observe any occurrences of serious bleeding in the HIPEC group. There were no significant differences in the postoperative complication rates between the two groups (P > 0.05). The postoperative (1 month) CEA, CA19-9, and CA72-4 levels in the HIPEC group were significantly decreased in the HIPEC group (P < 0.05). At a median follow-up of 59.3 months, 3 (5.5%) patients in the HIPEC group experienced peritoneal recurrence, and 10 (18.2%) patients in the non-HIPEC group experienced peritoneal recurrence (P < 0.05). Both groups had comparable 5-year overall survival (OS) rates (41.1% HIPEC group vs. 34.5% non-HIPEC group, P = 0.118). The 5-year disease-free survival was significantly higher in the HIPEC group than in the non-HIPEC group (28.6% versus 39.7%, p = 0.046).ConclusionsLobaplatin-based prophylactic HIPEC is feasible and safe for patients with T4 gastric cancer and does not increase postoperative adverse effects. The use of HIPEC showed a significant decrease in the incidence of local recurrence rates and blood tumor marker levels. The 5-year disease-free survival was significantly higher in the HIPEC group; however, the 5-year OS benefit was not found in T4 stage patients

    Case Report: Chronic hepatitis E virus Infection in an individual without evidence for immune deficiency

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    Chronic hepatitis E virus (HEV) infection occurs mainly in immunosuppressed populations. We describe an investigation of chronic HEV infection of genotype 3a in an individual without evidence for immune deficiency who presented hepatitis with significant HEV viremia and viral shedding. We monitored HEV RNA in plasma and stools, and assessed anti-HEV specific immune responses. The patient was without apparent immunodeficiency based on quantified results of white blood cell, lymphocyte, neutrophilic granulocyte, CD3+ T cell, CD4+ T cell, and CD8+ T cell counts and CD4/CD8 ratio, as well as total serum IgG, IgM, and IgA, which were in the normal range. Despite HEV specific cellular response and strong humoral immunity being observed, viral shedding persisted up to 109 IU/mL. After treatment with ribavirin combined with interferon, the indicators of liver function in the patient returned to normal, accompanied by complete suppression and clearance of HEV. These results indicate that HEV chronicity can also occur in individuals without evidence of immunodeficiency

    Calculation and Analysis of the Interval Power Flow for Distributed Energy System Based on Affine Algorithm

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    Due to the coupling of different energy systems, optimization of different energy complementarities, and the realization of the highest overall energy utilization rate and environmental friendliness of the energy system, distributed energy system has become an important way to build a clean and low-carbon energy system. However, the complex topological structure of the system and too many coupling devices bring more uncertain factors to the system which the calculation of the interval power flow of distributed energy system becomes the key problem to be solved urgently. Affine power flow calculation is considered as an important solution to solve uncertain steady power flow problems. In this paper, the distributed energy system coupled with cold, heat, and electricity is taken as the research object, the influence of different uncertain factors such as photovoltaic and wind power output is comprehensively considered, and affine algorithm is adopted to calculate the system power flow of the distributed energy system under high and low load conditions. The results show that the system has larger operating space, more stable bus voltage and more flexible pipeline flow under low load condition than under high load condition. The calculation results of the interval power flow of distributed energy systems can provide theoretical basis and data support for the stability analysis and optimal operation of distributed energy systems

    Calculation and Analysis of the Interval Power Flow for Distributed Energy System Based on Affine Algorithm

    No full text
    Due to the coupling of different energy systems, optimization of different energy complementarities, and the realization of the highest overall energy utilization rate and environmental friendliness of the energy system, distributed energy system has become an important way to build a clean and low-carbon energy system. However, the complex topological structure of the system and too many coupling devices bring more uncertain factors to the system which the calculation of the interval power flow of distributed energy system becomes the key problem to be solved urgently. Affine power flow calculation is considered as an important solution to solve uncertain steady power flow problems. In this paper, the distributed energy system coupled with cold, heat, and electricity is taken as the research object, the influence of different uncertain factors such as photovoltaic and wind power output is comprehensively considered, and affine algorithm is adopted to calculate the system power flow of the distributed energy system under high and low load conditions. The results show that the system has larger operating space, more stable bus voltage and more flexible pipeline flow under low load condition than under high load condition. The calculation results of the interval power flow of distributed energy systems can provide theoretical basis and data support for the stability analysis and optimal operation of distributed energy systems

    Serum diamine oxidase as a hemorrhagic shock biomarker in a rabbit model.

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    BACKGROUND: In prolonged hemorrhagic shock, reductions in intestinal mucosal blood perfusion lead to mucosal barrier damage and systemic inflammation. Gastrointestinal failure in critically ill patients has a poor prognosis, so early assessment of mucosal barrier injury in shock patients is clinically relevant. Unfortunately, there is no serum marker that can accurately assess intestinal ischemia-reperfusion injury. OBJECTIVE: The aim of this study was to assess if serum diamine oxidase levels can reflect intestinal mucosal injury subsequent to prolonged hemorrhagic shock. METHODS: Thirty New Zealand white rabbits were divided into three groups: a control group, a medium blood pressure (BP) group (exsanguinated to a shock BP of 50 to 41 mm Hg), and a low BP group (exsanguinated to a shock blood pressure of 40 to 31 mm Hg), in which the shock BP was sustained for 180 min prior to fluid resuscitation. RESULTS: The severity of hemorrhagic shock in the low BP group was significantly greater than that of the medium BP group according to the post-resuscitation BP, serum tumor necrosis factor (TNF)-α, and arterial lactate. Intestinal damage was significantly more severe in the low BP group according to Chiu's scoring, claudin-1, intercellular adhesion molecule (ICAM)-1, and myeloperoxidase expression. Serum diamine oxidase was significantly increased in the low BP group compared to the medium BP and control groups and was negatively correlated with shock BP. CONCLUSION: Serum diamine oxidase can be used as a serological marker in evaluating intestinal injury and shows promise as an indicator of hemorrhagic shock severity

    Profiling of circulating serum exosomal microRNAs in elderly patients with infectious stress hyperglycaemia

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    Abstract Background Early diagnosis of hospitalized elderly patients with infectious stress hyperglycaemia (ISH) is clinically important, especially under the global coronavirus disease 2019 (COVID‐19) pandemic, as without timely prevention and effective treatment, it is likely to deteriorate into septic shock, thus worsening patient survival and complications. Moreover, cumulative studies have showed that patients with COVID‐19 are reported to have a greater prevalence of hyperglycaemia. However, the underlying mechanism remained unknown. Aim and method Systematic screening of specific biomarkers of serum exosome‐derived microRNAs (sE‐miRNAs) from ISH patient has not yet been reported. In this study, sE‐miRNAs were derived from 10 elderly patients with ISH and 5 control patients with disease‐match without hyperglycaemia (non‐ISH). RNA sequencing identified that a total number of 49 sE‐miRNAs with differential expression between ISH and control group. Of which, top 22 miRNAs ranked by sensitivity × specificity were chosen for further research. Moreover, 7 out of 22 miRNAs that related to glucose metabolism or immune disorder were picked up for further validation in an independent cohort consisting of 52 participants (31 ISH and 21 non‐ISH). Result A validation analysis revealed that three miRNAs (hsa‐miR‐21‐5p, hsa‐miR‐335‐5p and hsa‐miR‐28‐3p) were statistically up‐regulated in exosomes from ISH patients. In the validation cohort and discovery cohort, the AUC of three individual miRNAs ranged from 0.73 to 0.88. A logistic model combining three miRNAs achieved an AUC of 0.96. Besides, sE‐miRNAs‐based signatures effectively characterized patients' poor clinical outcome. Survival curve analysis showed that hsa‐miR‐335‐5p, hsa‐miR‐28‐3p but not hsa‐miR‐21‐5p, were significantly closely related to mortality, and the combination of these three miRNAs could also predict patients outcome (p < .05). Conclusion This study depicted the circulating exosomal miRNAs change in ISH patient, which could be used as a promising biomarker to detect ISH at an early stage and predict patients clinical outcome

    Prolonged Hemorrhagic Shock Causes Intestinal Mucosal Damage.

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    <p>A: control group; B: medium BP group; C: low BP group; and D: Chiu’s score quantifies intestinal mucosal damage. Animals in the medium BP group or low BP group underwent hemorrhagic shock for 180 min at 41–50 mm Hg or 31–40 mm Hg, respectively, before fluid resuscitation. The control group was the sham shock group. Data are shown as means ± SDs. *<i>P</i><0.05 vs. control group or medium BP group, <sup>#</sup><i>P</i><0.05 vs. control group.</p
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