Objective: Fetal movement (FM) is one of the objective phenomena of fetal life. The decrease of FM is a clinical indicator of fetal hypoxia. A fetal motion detection method is based on multiple pressure sensors and mu...
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Objective: Fetal movement (FM) is one of the objective phenomena of fetal life. The decrease of FM is a clinical indicator of fetal hypoxia. A fetal motion detection method is based on multiple pressure sensors and multi features. Methods: Collecting the abdominal data of pregnant women using multi-pressure sensors, preprocessing the signal with a digital filter, extracting the time-frequency characteristics of FM signal. The designed classifier is used for recognition of the extracted features. Results: The detection system used for FM time series can provide reliable results with a detection rate of 93.0% and a positive rate is 75.9%. Conclusion: The portable detection system proposed in this paper is a good alternative that will optimize medical use, professionals and hospital resources and has potential application prospects in the field of home electronic medical treatment.
China’s architecture,engineering,and construction(AEC)industry needs a clear and sustainable development *** inspiration from speeches delivered at a seminar hosted by the Chinese Academy of Engineering and extensive...
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China’s architecture,engineering,and construction(AEC)industry needs a clear and sustainable development *** inspiration from speeches delivered at a seminar hosted by the Chinese Academy of Engineering and extensive literature research on Chinese policies,this article presents a summary of the current trends in the AEC industry in four dimensions:industrialization as the foundation,intelligence as the enabler,lean management as the strategy,and green development as the *** four dimensions are intricately interconnected and rooted in multiple *** article provides a detailed review of the current practices,challenges,and future directions associated with each ***,ten grand challenges were proposed to stimulate discussions on the future of the AEC *** article offers an overarching understanding of the AEC industry and presents a four-dimension framework for sustainable development,which can be valuable for AEC practitioners.
We used Gaussian modeling to depict the changes in finger photoplethysmographic (PPG) pulse during pregnancy in healthy women. We enrolled 70 healthy pregnant women and recorded their PPG pulses in 11-13 gestational w...
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We used Gaussian modeling to depict the changes in finger photoplethysmographic (PPG) pulse during pregnancy in healthy women. We enrolled 70 healthy pregnant women and recorded their PPG pulses in 11-13 gestational weeks, 20-22 gestational weeks, and 37-39 gestational weeks. Three independent positive Gaussian functions were utilized to decompose the pulses, and each Gaussian function extracted three key parameters: the peak amplitude (H), the peak position (T), and the half-width (W). The method of ANOVA and post-hoc multiple comparisons of mathematical statistics were utilized to study the differences of these parameters between the three trimesters. We found that in the first trimester H-1 increased significantly (H-1 : 49.7 +/- 10.3 versus 52.9 +/- 6.9, p < 0.05). T-2 and T-3 increased in the first trimester (T-2 : 28.1 +/- 2.8 versus 28.4 +/- 2.2, p > 0.05;T-3: 54.3 +/- 4.2 versus 56.3 +/- 4.3, p < 0.01), then decreased significantly (T-2 : 28.4 +/- 2.2 versus 27.3 +/- 2.2, T-3: 56.3 +/- 4.3 versus 54.7 +/- 5.2, p < 0.05). H-1 is associated with cardiac output, and T-2 and T-3 are associated with peripheral vascular resistance. The results of this study were consistent with the conclusion that healthy pregnant women exhibited high flow state of the cardiovascular system and their peripheral vascular resistance decreased first and then gradually recovered during pregnancy. This study indicated that PPG pulse could also reflect the changes in the maternal cardiovascular system during pregnancy.
The compact extracellular matrix (ECM) of pancreatic ductal adenocarcinoma (PDAC) is the major physical barrier that hinders the delivery of anti-tumor drugs, leading to strong inherent chemotherapy resistance as well...
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The compact extracellular matrix (ECM) of pancreatic ductal adenocarcinoma (PDAC) is the major physical barrier that hinders the delivery of anti-tumor drugs, leading to strong inherent chemotherapy resistance as well as establishing an immunosuppressive tumor microenvironment (TME). However, forcibly destroying the stroma barrier would break the balance of delicate signal transduction and dependence between tumor cells and matrix components. Uncontrollable growth and metastasis would occur, making PDAC more difficult to control. Hence, we design and construct an aptamer-decorated hypoxia-responsive nanoparticle s(DGL)(n)@Apt co-loading gemcitabine monophosphate and STAT3 inhibitor HJC0152. This nanoparticle can reverse its surficial charge in the TME, and reduce the size triggered by hypoxia. The released ultra-small DGL particles loading gemcitabine monophosphate exhibit excellent deep-tumor penetration, chemotherapy drugs endocytosis promotion, and autophagy induction ability. Meanwhile, HJC0152 inhibits overactivated STAT3 in both tumor cells and tumor stroma, softens the stroma barrier, and reeducates the TME into an immune-activated state. This smart code -livery strategy provides an inspiring opportunity in PDAC treatment.
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