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To mitigate the impact of oscillations on new energy power systems， it is crucial to assess the system stability state online and identify weak points susceptible to oscillations for proactive measures. To achieve this， two methods for locating weak points in new energy power systems are proposed， each from the perspectives of frequency domain characteristics and time-domain responses of the ports. The frequency domain method involves evaluating the system’s stability state based on the impedance characteristics of the ports at new energy substations， pinpointing weak substations according to the magnitude of the real part of the impedance at each substation. The time-domain method involves actively injecting a wideband small disturbance signal and utilizing the HHT （Hilbert-Huang transform） to analyze the current response at each port of new energy substations. Damping ratios of weak modes are extracted， and weak substations are located based on their magnitudes. The effectiveness of these location methods is validated using a small-scale new energy system composed of three wind farms. The results indicate that both methods accurately identify weak points in the system oscillations.

Objective To investigate the effect of PDCA cycle method in reducing the rate of hemolysis in venous blood samples. Methods The PDCA cycle method was used to implement the standardized procedure of venous blood sampling, and the hemolysis rate of venous blood samples from inpatients and outpatients in the same period of 2020 and 2021 was compared and analyzed. Results The rates of hemolysis in venous blood specimen of hospitalized patients and outpatients after implementation of PDCA cycle (in 2021) were significantly lower than those before PDCA cycle (in 2020) , respectively(5. 40% vs. 2. 42%, P＜0. 01; 7. 01%vs. 5. 09%, P＜0. 01). Conclusion The application of PDCA cycle method is effective to reduce the rate of hemolysis in venous blood specimen. (目的 探讨运用PDCA循环降低静脉血标本溶血率的效果。方法 应用PDCA循环法实施标准化规范化的静脉采血操作流程, 对比分析2020年与2021年同期住院部静脉血标本和门诊静脉血标本的溶血率。结果 实施PDCA循环管理后, 2021年住院部静脉血标本和门诊静脉血标本溶血发生率分别为5. 40%和2. 42%, 较2020年的7. 01%和5. 09%降低, 差异有统计学意义(P＜0. 01)。结论 应用PDCA循环法能够降低静脉血标本溶血率, 优化静脉采血流程。)

Lessons learnedThe combination of carotuximab with axitinib did not provide a benefit over axitinib monotherapy in patients with metastatic clear cell renal cell carcinoma who had previously progressed on one or more vascular endothelial growth factor (VEGF)-targeted therapies. Exploratory evaluation of pretreatment circulating biomarkers suggested the combination might benefit patients who have low baseline VEGF levels.BackgroundEndoglin is an angiogenic receptor expressed on proliferating tumor vessels and renal cell carcinoma (RCC) stem cells that is implicated as a mechanism of resistance to vascular endothelial growth factor receptor (VEGFR) inhibitors. This study evaluated an antiendoglin monoclonal antibody (carotuximab, TRC105) combined with axitinib in patients with advanced or metastatic clear cell renal cell carcinoma (mccRCC) who had progressed following one or more prior VEGF inhibitors.MethodsTRAXAR was a multicenter, international randomized 1:1 (stratified by ECOG, 0 vs. 1), phase II study of carotuximab combined with axitinib versus axitinib alone in mccRCC patients who had progressed following one or more prior VEGF inhibitors. The primary endpoint was progression-free survival (PFS) assessed by independent central review (ICR) per RECIST 1.1 RESULTS: A total of 150 patients were randomized. The combination therapy resulted in shorter median PFS by RECIST 1.1 than axitinib monotherapy (6.7 vs. 11.4 months). The combination was tolerated similarly to axitinib monotherapy, and there were no treatment related deaths. Exploratory evaluation of pretreatment circulating biomarkers suggested the combination might benefit patients who have low baseline VEGF levels.ConclusionThe combination of carotuximab with axitinib did not demonstrate additional efficacy over single agent axitinib in patients with mccRCC who progressed following one or more prior VEGF inhibitor treatment.

ObjectiveTo learn the epidemiological features of foodborne diseases， and to provide scientific basis for disease control.MethodsThe monitoring data of foodborne diseases in Minhang from 2016 to 2020 were analyzed. Stool or swab specimens were collected to detect salmonella， Vibrio parahaemolyticus， Escherichia coli， Shigella， Campylobacter jejuni and norovirus.ResultsThe information of 15 951 foodborne disease cases and 11 176 samples were collected， with the positive rate of 12.03%.The cases with diarrhea accounted for 99.90% of the total. The cases with fever accounted for 14.70% of the total. The cases with water stool accounted for 89.70% of the total. May to October were the epidemic periods of foodborne diseases in Minhang（79.78%）. The detection rate was the highest in the 30‒39 age group and cadre staff occupation（13.53%，13.49%）. The detection rates of foodborne bacteria and virus were 5.39% （Vibrio parahaemolyticus）， 3.25% （salmonella），1.44% （norovirus）， 1.06%（Escherichia coli）， 0.56% （Campylobacter jejuni）， 0.34% （mixed infection） and 0% （Shigella）. During this 5-year period， the positive rate of Vibrio parahaemolyticus decreased significantly， while the positive rate of salmonella and Escherichia coli and Campylobacter jejuni increased significantly. The main suspected food were aquatic products （29.44%）， meat （25.80%） and fruits （10.78%）. The main processing methods of suspected food were family workshop （41.12%） and restaurants （37.55%）. The total detection rate of the cases was the highest in the canteen， reaching 20.51%.ConclusionFoodborne disease cases have a seasonal peak. The positive detection of pathogens tends to be similar year by year. The main suspected food is aquatic products. The main resources of suspected food are family workshop， restaurants， and canteen. Targeted health education， supervision and management should be taken to prevent the occurrence of foodborne diseases and the outbreak of food poisoning

DNA methylation is a ubiquitous chromatin feature, present in 25% of cytosines in the maize genome, but variation and evolution of the methylation landscape during maize domestication remain largely unknown. Here, we leverage whole-genome sequencing (WGS) and whole-genome bisulfite sequencing (WGBS) data on populations of modern maize, landrace, and teosinte (Zea mays ssp. parviglumis) to estimate epimutation rates and selection coefficients. We find weak evidence for direct selection on DNA methylation in any context, but thousands of differentially methylated regions (DMRs) are identified population-wide that are correlated with recent selection. For two trait-associated DMRs, vgt1-DMR and tb1-DMR, HiChIP data indicate that the interactive loops between DMRs and respective downstream genes are present in B73, a modern maize line, but absent in teosinte. Our results enable a better understanding of the evolutionary forces acting on patterns of DNA methylation and suggest a role of methylation variation in adaptive evolution.