A facile and efficient approach was adopted for the synthesis of a series of novel pyrimido [5,4c]quinolin-4(3H)-one derivatives.All the synthesized compounds were characterized using spectroscopic data (IR, 1 H NMR, and mass spectrometry) and evaluated for their in vitro antimicrobial activities against Gram-positive bacteria (Bacillus subtilis and Staphylococcus aureus), Gram-negative bacteria (Escherichia coli) as well as fungi (Canibia albican) by broth microdilution method.The antimicrobial screening revealed that the tested compounds showed slightly to moderate antibacterial and antifungal activities.
Abstract Background: Patients with primary liver cancer (PLC) experience a range of symptoms in the early postoperative period. Symptoms include cancer-related symptoms and adverse effects of treatment. Exploring the core symptoms and their dynamics in the early post-hepatectomy patientsmay help provide better symptom management programs. Objective: The purpose of this study was to identify the core symptoms in early post-hepatectomy patients and to explore the trajectory of their dynamics. Methods: 249 participants with PLC underwent curative surgical procedures between March 2021 and September 2022 at the Hepatobiliary Surgery Departments of two Eastern Chinese hospitals. A comprehensive symptom assessment was administered to the patients 1-2 days after surgery (T1) and 1-2 days before discharge (T2). Network analysis was used to identify core symptoms in early post-hepatectomy patients based on symptom severity. Results: The network analysis identified the core symptoms of dry mouth, pain, abdominal distension, lack of appetite, and nausea at T1. In contrast, at T2, lack of appetite, pain, shortness of breath, and disturbed sleep were revealed. At the two early time points, while the results of the network structure test showed no statistically significant difference in the overall symptom network structure, there was a significant difference in the results for the core symptoms. Conclusion: Our study demonstrates the need to identify core symptoms in the early in early post-hepatectomy to improve symptom management in PLC patients. It is crucial to apply network analysis as an essential component of cancer care.
In the processes of industrial defects detections, deep neural networks have received much favor for its high efficiency and low labor cost. As is known, a big amount of dataset is the precondition to train any network. However, the datasets of industrial defects tended to be small and hard to obtain. To solve the problem above, we raise a thought of simulation based on MCMC aiming to sample from the posterior distribution of the defect's images, which is viewed as the limit distribution of certain Markov Chain. Once we capture the posterior distribution, the law of the defects is revealed. 1Therefore, generating pseudo samples by the law is quite reasonable. It has been proved that the algorithm is practicable by advanced devices and economical in the long term. The significance of this work is to raise a practicable thought towards the problem of mini-batch industrial datasets. Code is available at https://github.com/MrSmallWang/solutions-tosmall- datasets.
Primary liver cancer (PLC) is a common cancer of the digestive system. Patients with PLC often experience a heavy symptom burden and along with a significant levels of anxiety and depression after liver resection. High levels of symptom burden can lead to increased anxiety and depression, whereas high levels of resilience can alleviate these conditions. Therefore, we aimed to explore the relationships among symptom burden, resilience, and anxiety/depression in Chinese patients with PLC after liver resection and to determine whether resilience mediates the relationship between symptom burden and anxiety/depression.A total of 223 postoperative PLC patients were recruited from two public hospitals in Anhui Province, China. All participants completed the MD Anderson Symptom Inventory (MDASI), Hospital Anxiety and Depression Scale (HADS), and Connor-Davidson Resilience Scale (CD-RISC). The mediating effect of resilience was estimated using the bootstrap method via IBM SPSS AMOS 26.0.The mean HADS score was 12.37 ± 6.03 points in postoperative PLC patients. Among these patients, 78 (34.98%) had anxiety, and 64 (28.70%) had depression, as indicated by a subscale score ≥ 8. Pearson correlation analysis revealed that anxiety/depression was positively associated with symptom burden (p < 0.05) and negatively associated with resilience (p < 0.05). Furthermore, resilience partially mediated the relationship between symptom burden and anxiety/depression (β = 0.04; 95% confidence interval: 0.01-0.08).The levels of anxiety and depression in postoperative PLC patients should be decreased. Resilience partially mediated the relationship between symptom burden and anxiety/depression, but the indirect effect was much weaker than the direct effect of symptom burden on anxiety/depression. Consequently, rather than focusing primarily on resilience interventions, joint symptom-psychological interventions focusing on symptoms should be considered for patients with PLC after hepatectomy to reduce the levels of anxiety/depression.
The three-rank examination is a highlight in National Computer Rank Examination.Especially,most of the examinees do not major in computer in university,so it is an urgent problem for every examinee how to have an objective review and take the exam efficiently.In order to improve the examinees' capacity to accomplish the exam,we make deep analysis about practicing on computer in details accented three main types of the test as well as three main templates of how to deal with them making sure that examines are able to infer.Meanwhile,we also conclude some suggestions about the review and many important matters during the exam.It would be play a directed role in review and techniques of examination for the examinees.Even it can be half the work with double results.
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