Accumulating evidence suggests that the gut microbiota plays an important role in the pathogenesis of inflammatory bowel disease(IBD).Carnosic acid(CA)is a major antioxidant component of rosemary and sage.Herein,we in...Accumulating evidence suggests that the gut microbiota plays an important role in the pathogenesis of inflammatory bowel disease(IBD).Carnosic acid(CA)is a major antioxidant component of rosemary and sage.Herein,we investigated the protective effects of dietary CA on dextran sodium sulfate(DSS)-induced colitis mouse model with an emphasis on its impact on the composition and metabolic function of gut microbiota.We found that CA effectively attenuated DSS-stimulated colitis in mice,as evidenced by reduced disease activity index(DAI),and systemic and colonic inflammation.Additionally,CA restored microbial diversity and improved the composition of gut microbiota in DSS-treated mice.Moreover,Spearman’s correlation coefficient showed a significant correlation between the fecal metabolites and the gut microbiota species.Changes in gut microbiota and the correlated metabolites might partially explain CA’s anti-inflammatory effects against colitis.Future clinical trials are needed to determine the therapeutic effects and mechanisms of CA on IBD in humans.展开更多
Label-sensor is an essential component of the label printer which is becoming a most significant tool for the development of Internet of Things(IoT).However,some drawbacks of the traditional infrared label-sensor make...Label-sensor is an essential component of the label printer which is becoming a most significant tool for the development of Internet of Things(IoT).However,some drawbacks of the traditional infrared label-sensor make the printer fail to realize the high-speed recognition of labels as well as stable printing.Herein,we propose a selfpowered and highly sensitive tribo-label-sensor(TLS)for accurate label identification,positioning and counting by embedding triboelectric nanogenerator into the indispensable roller structure of a label printer.The sensing mechanism,device parameters and deep comparison with infrared sensor are systematically studied both in theory and experiment.As the results,TLS delivers 6 times higher signal magnitude than traditional one.Moreover,TLS is immune to label jitter and temperature variation during fast printing and can also be used for transparent label directly and shows long-term robustness.This work may provide an alternative toolkit with outstanding advantages to improve current label printer and further promote the development of IoT.展开更多
The learning status of learners directly affects the quality of learning.Compared with offline teachers,it is difficult for online teachers to capture the learning status of students in the whole class,and it is even ...The learning status of learners directly affects the quality of learning.Compared with offline teachers,it is difficult for online teachers to capture the learning status of students in the whole class,and it is even more difficult to continue to pay attention to studentswhile teaching.Therefore,this paper proposes an online learning state analysis model based on a convolutional neural network and multi-dimensional information fusion.Specifically,a facial expression recognition model and an eye state recognition model are constructed to detect students’emotions and fatigue,respectively.By integrating the detected data with the homework test score data after online learning,an analysis model of students’online learning status is constructed.According to the PAD model,the learning state is expressed as three dimensions of students’understanding,engagement and interest,and then analyzed from multiple perspectives.Finally,the proposed model is applied to actual teaching,and procedural analysis of 5 different types of online classroom learners is carried out,and the validity of the model is verified by comparing with the results of the manual analysis.展开更多
Objective： Although lithium has been a commonly prescribed neurotrophic/neuroprotective mood-stabilizing agents, its effect on spontaneous brain activity in patients with bipolar depression remains unclear. The aim o...Objective： Although lithium has been a commonly prescribed neurotrophic/neuroprotective mood-stabilizing agents, its effect on spontaneous brain activity in patients with bipolar depression remains unclear. The aim of this study is to reveal the basic mechanism underlying the pathological influences of lithium on resting-state brain function of bipolar depression patients. Methods：97 subjects including 9 bipolar depression patients with lithium treatment, 19 bipolar depression patients without lithium treatment and 69 healthy controls, were recruited to participate in this study. Amplitude of low-frequency fluctuation （ ALFF ） and fractional amplitude of low-frequency fluctuation （ fALFF） were used to capture the changes of spontane-ous brain activity among different groups. In addition, further analysis in terms of Hamilton Depression Rating Scale, the number of depressive episodes, and illness duration in pooled bipolar depression patients were conducted, which combined FLEF and fALEF to identify the basic neural features of bipolar depression patients. Results： It was observed from the imaging results that both the bipolar depression patients receiving lithium treatment and healthy control subjects showed signifi-cantly decreased ALFF/fALFF values in the right anterior cingulate cortex and right middle frontal gyrus compared to that from the bipolar depression patients without lithium treatmetn. The ALFF values of the right＆amp;nbsp;middle temporal gyrus was also found to be negative related to the number of depressive episode and the total episodes. Conclusions：Our findings suggested that the bipolar depression subjects were identified to have ab-normal ALFF/ fALFF in the corticolimbic systems, in-cluding regions like right anterior cingulate cortex, bilateral middle frontal gyrus, right orbital frontal gyrus, and right middle temporal gyrus. In addition, it was also revealed that the decreased ALFF/fALFF in the right anterior cingulate cortex and right middle frontal gyrus might be a biomarker that is related to the lithium effects.展开更多
基金supported by Natural Science Foundation of Guangdong basic and applied basic research foundation(2021A1515010965)General project of Basic and applied basic Research in Guangzhou(202102080241)+3 种基金Laboratory opening project of Guangzhou Medical University(PX-1020423)Natural Science Foundation of Guangdong basic and applied basic research foundation([2018]105)Guangdong Provincial Department of Education(S202010570042)Communist Youth League Committee of Guangzhou Medical University(2019A060).
文摘Accumulating evidence suggests that the gut microbiota plays an important role in the pathogenesis of inflammatory bowel disease(IBD).Carnosic acid(CA)is a major antioxidant component of rosemary and sage.Herein,we investigated the protective effects of dietary CA on dextran sodium sulfate(DSS)-induced colitis mouse model with an emphasis on its impact on the composition and metabolic function of gut microbiota.We found that CA effectively attenuated DSS-stimulated colitis in mice,as evidenced by reduced disease activity index(DAI),and systemic and colonic inflammation.Additionally,CA restored microbial diversity and improved the composition of gut microbiota in DSS-treated mice.Moreover,Spearman’s correlation coefficient showed a significant correlation between the fecal metabolites and the gut microbiota species.Changes in gut microbiota and the correlated metabolites might partially explain CA’s anti-inflammatory effects against colitis.Future clinical trials are needed to determine the therapeutic effects and mechanisms of CA on IBD in humans.
基金supported by the National Key Research and Development Program(2021YFA1201602)the NSFC(62004017)+2 种基金the Fundamental Research Funds for the Central Universities(2021CDJQY-019)J.C.also want to acknowledge the supporting from the Natural Science Foundation of Chongqing(Grant No.cstc2021jcyjmsxmX0746)the Scientific Research Project of Chongqing Education Committee(Grant No.KJQN202100522).
文摘Label-sensor is an essential component of the label printer which is becoming a most significant tool for the development of Internet of Things(IoT).However,some drawbacks of the traditional infrared label-sensor make the printer fail to realize the high-speed recognition of labels as well as stable printing.Herein,we propose a selfpowered and highly sensitive tribo-label-sensor(TLS)for accurate label identification,positioning and counting by embedding triboelectric nanogenerator into the indispensable roller structure of a label printer.The sensing mechanism,device parameters and deep comparison with infrared sensor are systematically studied both in theory and experiment.As the results,TLS delivers 6 times higher signal magnitude than traditional one.Moreover,TLS is immune to label jitter and temperature variation during fast printing and can also be used for transparent label directly and shows long-term robustness.This work may provide an alternative toolkit with outstanding advantages to improve current label printer and further promote the development of IoT.
基金supported by the Chongqing Normal University Graduate Scientific Research Innovation Project (Grants YZH21014 and YZH21010).
文摘The learning status of learners directly affects the quality of learning.Compared with offline teachers,it is difficult for online teachers to capture the learning status of students in the whole class,and it is even more difficult to continue to pay attention to studentswhile teaching.Therefore,this paper proposes an online learning state analysis model based on a convolutional neural network and multi-dimensional information fusion.Specifically,a facial expression recognition model and an eye state recognition model are constructed to detect students’emotions and fatigue,respectively.By integrating the detected data with the homework test score data after online learning,an analysis model of students’online learning status is constructed.According to the PAD model,the learning state is expressed as three dimensions of students’understanding,engagement and interest,and then analyzed from multiple perspectives.Finally,the proposed model is applied to actual teaching,and procedural analysis of 5 different types of online classroom learners is carried out,and the validity of the model is verified by comparing with the results of the manual analysis.
基金Acknowlegements ： The authors gratefully acknowledge the Beijing Normal University Imaging Center for Brain Research and Prof. Yufeng Zang for their contributions in MRI data acquisition. This study was supported by grants from the Beijing Municipal Science ＆ Technology Commission （Grant no. D121100005012002） , Beijing Municipal Administration of Hospitals Clinical Medicine Development of Special Funding Support （ Grant no. ZYLX201403） , the National Natural Science Foundation of China （ Grant no. 81471389 ） , the High level health technical personnel in Beijing （ Grant no. 2014 - 3-095）, the MYRG2014 - 00093 - FHS and MYRG 2015-00036- FHS grants from the University of Macao in Macao, and FDCT 026/2014/A1 and FDCT 025/ 2015/A1 grants from Macao government.
文摘Objective： Although lithium has been a commonly prescribed neurotrophic/neuroprotective mood-stabilizing agents, its effect on spontaneous brain activity in patients with bipolar depression remains unclear. The aim of this study is to reveal the basic mechanism underlying the pathological influences of lithium on resting-state brain function of bipolar depression patients. Methods：97 subjects including 9 bipolar depression patients with lithium treatment, 19 bipolar depression patients without lithium treatment and 69 healthy controls, were recruited to participate in this study. Amplitude of low-frequency fluctuation （ ALFF ） and fractional amplitude of low-frequency fluctuation （ fALFF） were used to capture the changes of spontane-ous brain activity among different groups. In addition, further analysis in terms of Hamilton Depression Rating Scale, the number of depressive episodes, and illness duration in pooled bipolar depression patients were conducted, which combined FLEF and fALEF to identify the basic neural features of bipolar depression patients. Results： It was observed from the imaging results that both the bipolar depression patients receiving lithium treatment and healthy control subjects showed signifi-cantly decreased ALFF/fALFF values in the right anterior cingulate cortex and right middle frontal gyrus compared to that from the bipolar depression patients without lithium treatmetn. The ALFF values of the right＆amp;nbsp;middle temporal gyrus was also found to be negative related to the number of depressive episode and the total episodes. Conclusions：Our findings suggested that the bipolar depression subjects were identified to have ab-normal ALFF/ fALFF in the corticolimbic systems, in-cluding regions like right anterior cingulate cortex, bilateral middle frontal gyrus, right orbital frontal gyrus, and right middle temporal gyrus. In addition, it was also revealed that the decreased ALFF/fALFF in the right anterior cingulate cortex and right middle frontal gyrus might be a biomarker that is related to the lithium effects.
