Objective In this study,the combined effect of two stressors,namely,electromagnetic fields(EMFs)from mobile phones and fructose consumption,on hypothalamic and hepatic master metabolic regulators of the AMPK/SIRT1-UCP...Objective In this study,the combined effect of two stressors,namely,electromagnetic fields(EMFs)from mobile phones and fructose consumption,on hypothalamic and hepatic master metabolic regulators of the AMPK/SIRT1-UCP2/FOXO1 pathway were elucidated to delineate the underlying molecular mechanisms of insulin resistance.Methods Weaned Wistar rats(28 days old)were divided into 4 groups:Normal,Exposure Only(ExpO),Fructose Only(FruO),and Exposure and Fructose(EF).Each group was provided standard laboratory chow ad libitum for 8 weeks.Additionally,the control groups,namely,the Normal and FruO groups,had unrestricted access to drinking water and fructose solution(15%),respectively.Furthermore,the respective treatment groups,namely,the ExpO and EF groups,received EMF exposure(1,760 MHz,2 h/day x 8 weeks).In early adulthood,mitochondrial function,insulin receptor signaling,and oxidative stress signals in hypothalamic and hepatic tissues were assessed using western blotting and biochemical analysis.Result In the hypothalamic tissue of EF,SIRT1,FOXO 1,p-PI3K,p-AKT,ComplexⅢ,UCP2,MnSOD,and catalase expressions and OXPHOS and GSH activities were significantly decreased(P<0.05)compared to the Normal,ExpO,and FruO groups.In hepatic tissue of EF,the p-AMPKα,SIRT1,FOXO1,IRS1,p-PI3K,ComplexⅠ,Ⅱ,Ⅲ,Ⅳ,Ⅴ,UCP2,and MnSOD expressions and the activity of OXPHOS,SOD,catalase,and GSH were significantly reduced compared to the Normal group(P<0.05).Conclusion The findings suggest that the combination of EMF exposure and fructose consumption during childhood and adolescence in Wistar rats disrupts the closely interlinked and multi-regulated crosstalk of insulin receptor signals,mitochondrial OXPHOS,and the antioxidant defense system in the hypothalamus and liver.展开更多
To remove handwritten texts from an image of a document taken by smart phone,an intelligent removal method was proposed that combines dewarping and Fully Convolutional Network with Atrous Convolutional and Atrous Spat...To remove handwritten texts from an image of a document taken by smart phone,an intelligent removal method was proposed that combines dewarping and Fully Convolutional Network with Atrous Convolutional and Atrous Spatial Pyramid Pooling(FCN-AC-ASPP).For a picture taken by a smart phone,firstly,the image is transformed into a regular image by the dewarping algorithm.Secondly,the FCN-AC-ASPP is used to classify printed texts and handwritten texts.Lastly,handwritten texts can be removed by a simple algorithm.Experiments show that the classification accuracy of the FCN-AC-ASPP is better than FCN,DeeplabV3+,FCN-AC.For handwritten texts removal effect,the method of combining dewarping and FCN-AC-ASPP is superior to FCN-AC-ASP alone.展开更多
This paper discusses the possibility to use mobile phone network data to monitor spatial policies in land use and transport planning.Monitoring requires robust time series and reproducible concepts linking spatial pol...This paper discusses the possibility to use mobile phone network data to monitor spatial policies in land use and transport planning.Monitoring requires robust time series and reproducible concepts linking spatial policies to monitoring outcomes,a requirement differing from current literature where mobile phone data analysis is exemplified in selected areas with privileged data access.Concepts need to serve the evaluation of policy objectives,for example in regional or local area plans.In this study,we,therefore,extend the application of mobile phone network data to monitoring applications comparing urban settlement types and their characteristic mobility patterns.To accomplish this,we link mobile phone records with urban classifications and transport network data,using both visual and computational approaches to mine the data.The article presents comparisons of travel patterns for selected monocentric and polycentric city regions in Germany,testing hypotheses of transit-oriented regional development,as well as testing for congestion risks in the transport network.The results help us to gain a more detailed understanding of spatial and temporal patterns in mobility for different urban types and assess future potentials for monitoring spatial policies with mobile phone network data.展开更多
We investigated factors contributing to Internet addiction in 105 Japanese medical students. The subjects were administered by a self-reporting questionnaire designed to evaluate demographic factors, Internet addictio...We investigated factors contributing to Internet addiction in 105 Japanese medical students. The subjects were administered by a self-reporting questionnaire designed to evaluate demographic factors, Internet addiction, loneliness, health-related lifestyle factors, depressive state, patterns of behavior, and mobile phone dependence. Results of multivariate logistic regression analysis indicated that loneliness and mobile phone dependence were positively related to degree of addiction. Our findings suggest that Internet addiction is associated with loneliness and mobile phone dependence in Japanese students.展开更多
The increasing availability of data in the urban context(e.g.,mobile phone,smart card and social media data)allows us to study urban dynamics at much finer temporal resolutions(e.g.,diurnal urban dynamics).Mobile phon...The increasing availability of data in the urban context(e.g.,mobile phone,smart card and social media data)allows us to study urban dynamics at much finer temporal resolutions(e.g.,diurnal urban dynamics).Mobile phone data,for instance,are found to be a useful data source for extracting diurnal human mobility patterns and for understanding urban dynamics.While previous studies often use call detail record(CDR)data,this study deploys aggregated network-driven mobile phone data that may reveal human mobility patterns more comprehensively and can mitigate some of the privacy concerns raised by mobile phone data usage.We first propose an analytical framework for characterizing and classifying urban areas based on their temporal activity patterns extracted from mobile phone data.Specifically,urban areas’diurnal spatiotemporal signatures of human mobility patterns are obtained through longitudinal mobile phone data.Urban areas are then classified based on the obtained signatures.The classification provides insights into city planning and development.Using the proposed framework,a case study was implemented in the city of Wuhu,China to understand its urban dynamics.The empirical study suggests that human activities in the city of Wuhu are highly concentrated at the Traffic Analysis Zone(TAZ)level.This large portion of local activities suggests that development and planning strategies that are different from those used by metropolitan Chinese cities should be applied in the city of Wuhu.This article concludes with discussions on several common challenges associated with using network-driven mobile phone data,which should be addressed in future studies.展开更多
Along with the deployment of 3G networks and the launch of diversified mobile Internet services, network service modes and operation modes have greatly changed, and now the smart phone plays a key role. Accordingly, t...Along with the deployment of 3G networks and the launch of diversified mobile Internet services, network service modes and operation modes have greatly changed, and now the smart phone plays a key role. Accordingly, the key technologies for the smart phone, such as the application security management framework, application software authentication mechanism, interoperating capability and dynamic power management should be paid much attention to. The mobile phone vendors are gradually transforming into platform providers who will offer the support for services, including hardware, protocol stacks and storage, instead of providing specific services. Meanwhile, operators and Internet service providers will become the main body of service development.展开更多
Cell phone and personal computer use has increased considerably in recent years, particularly in developed countries. These devices have facilitated communication on a global scale. However, there have been a number o...Cell phone and personal computer use has increased considerably in recent years, particularly in developed countries. These devices have facilitated communication on a global scale. However, there have been a number of reports of health problems related to the electromagnetic waves emitted by such electronic devices. A long list of both general and severe symptoms, including headaches, fatigue, tinnitus, dizziness, memory loss, irregular heartbeat and whole-body skin le-sions, have been reported. These are reportedly associated with the condition known as electro-magnetic hypersensitivity (EHS). This report shows how a subject’s abnormal involuntary body movements, caused by electromagnetic waves emitted by a cell phone, are prevented by placing a gold alloy inlay in the subject’s mouth. It appears that the subject’s involuntary movements are the result of balance dysregulation resulting from EHS. The subject’s various symptoms improve after the specific dental treatment. However, the underlying mechanism of the symptoms and the rea-sons why this treatment is so successful remain unknown. Further research is required to clarify these issues.展开更多
With the increasing use of electronic gadgets, the effects of electromagnetic waves on sperm quality have been reported. This study evaluated the capacity of seminal antioxidants to protect spermatozoa from the effect...With the increasing use of electronic gadgets, the effects of electromagnetic waves on sperm quality have been reported. This study evaluated the capacity of seminal antioxidants to protect spermatozoa from the effects of exposure to non-ionizing cellular phone radiation on markers of semen quality and DNA integrity in an in-vitro model. A total of seventy-three (73) patients attending a fertility centre in Sakumono, Tema metropolis were recruited for this study. About 2 - 3 mls of freshly ejaculated semen was neatly collected by masturbation with consent and analysed according to the 2010 WHO standard semen analysis. A portion of Semen was exposed to non-ionizing cellular phone radiation for three (3) hours. Superoxide dismutase (SOD) activity levels and DNA fragmentation index (DFI) were determined before and after exposure. Data was entered and analysed using SPSS version 20.00 and Graph pad prism. DFI was positively associated with immobility (r = 0.233;p = 0.05) and negatively associated with percentage progressive motility (r = -0.258;p = 0.028), percentage total motility (r = -0.233;p = 0.05) and SOD levels (r = -0.270;p = 0.028). There was a significant positive linear relationship between SOD and progressive motility (r = 0.451;p < 0.0001), vitality (r = 0.725;p < 0.0001) and total motility (r = 0.705, p = 0.05). Higher seminal SOD level is protective against the damaging effects of electromagnetic waves on sperm quality.展开更多
With increasingly rampant telephone fraud activities,the social impact and economic losses caused to China have increased dramatically.Precise,convenient,and efficient fraudulent phone call recognition has become a ch...With increasingly rampant telephone fraud activities,the social impact and economic losses caused to China have increased dramatically.Precise,convenient,and efficient fraudulent phone call recognition has become a challenge since telephone fraud became more varied and covert.To deal with this problem,many researchers have extracted some statistical features of telephone fraud behavior and proposed some machine learning algorithms on the field of fraudulent phone call recognition.In this paper,the calling detail records are utilized to construct a classifier for fraudulent phone call recognition.Meantime,a deep learning approach based on convolutional neural network(CNN)is proposed for better features learning and compared with the existing state-of-the-art machine learning algorithms.It learns phone number and call behavior features of telephone fraud,and improves the accuracy of classification.The evaluation results show that the proposed algorithm outperforms competitive algorithms.展开更多
Urban traffic volume detection is an essential part of trafficplanning in terms of urban planning in China. To improve the statisticsefficiency of road traffic volume, this thesis proposes a method for predictingmotor...Urban traffic volume detection is an essential part of trafficplanning in terms of urban planning in China. To improve the statisticsefficiency of road traffic volume, this thesis proposes a method for predictingmotor vehicle traffic volume on urban roads in small and medium-sizedcities during the traffic peak hour by using mobile signal technology. Themethod is verified through simulation experiments, and the limitations andthe improvement methods are discussed. This research can be divided intothree parts: Firstly, the traffic patterns of small and medium-sized cities areobtained through a questionnaire survey. A total of 19745 residents weresurveyed in Luohe, a medium-sized city in China and five travel modes oflocal people were obtained. Secondly, after the characteristics of residents’rest and working time are investigated, a method is proposed in this studyfor the distribution of urban residential and working places based on mobilephone signaling technology. Finally, methods for predicting traffic volume ofthese travel modes are proposed after the characteristics of these travel modesand methods for the distribution of urban residential and working placesare analyzed. Based on the actual traffic volume data observed at offlineintersections, the project team takes Luohe city as the research object and itverifies the accuracy of the prediction method by comparing the predictiondata. The prediction simulation results of traffic volume show that the averageerror rate of traffic volume is unstable. The error rate ranges from 10% to 30%.In this thesis, simulation experiments and field investigations are adopted toanalyze why these errors occur.展开更多
基金supported by the Indian Council of Medical Research(ICMR)in New Delhi.(Sanction NO:5/10/FR/13/2015-RBMH)。
文摘Objective In this study,the combined effect of two stressors,namely,electromagnetic fields(EMFs)from mobile phones and fructose consumption,on hypothalamic and hepatic master metabolic regulators of the AMPK/SIRT1-UCP2/FOXO1 pathway were elucidated to delineate the underlying molecular mechanisms of insulin resistance.Methods Weaned Wistar rats(28 days old)were divided into 4 groups:Normal,Exposure Only(ExpO),Fructose Only(FruO),and Exposure and Fructose(EF).Each group was provided standard laboratory chow ad libitum for 8 weeks.Additionally,the control groups,namely,the Normal and FruO groups,had unrestricted access to drinking water and fructose solution(15%),respectively.Furthermore,the respective treatment groups,namely,the ExpO and EF groups,received EMF exposure(1,760 MHz,2 h/day x 8 weeks).In early adulthood,mitochondrial function,insulin receptor signaling,and oxidative stress signals in hypothalamic and hepatic tissues were assessed using western blotting and biochemical analysis.Result In the hypothalamic tissue of EF,SIRT1,FOXO 1,p-PI3K,p-AKT,ComplexⅢ,UCP2,MnSOD,and catalase expressions and OXPHOS and GSH activities were significantly decreased(P<0.05)compared to the Normal,ExpO,and FruO groups.In hepatic tissue of EF,the p-AMPKα,SIRT1,FOXO1,IRS1,p-PI3K,ComplexⅠ,Ⅱ,Ⅲ,Ⅳ,Ⅴ,UCP2,and MnSOD expressions and the activity of OXPHOS,SOD,catalase,and GSH were significantly reduced compared to the Normal group(P<0.05).Conclusion The findings suggest that the combination of EMF exposure and fructose consumption during childhood and adolescence in Wistar rats disrupts the closely interlinked and multi-regulated crosstalk of insulin receptor signals,mitochondrial OXPHOS,and the antioxidant defense system in the hypothalamus and liver.
基金Sponsored by the Scientific Research Project of Zhejiang Provincial Department of Education(Grant No.KYY-ZX-20210329).
文摘To remove handwritten texts from an image of a document taken by smart phone,an intelligent removal method was proposed that combines dewarping and Fully Convolutional Network with Atrous Convolutional and Atrous Spatial Pyramid Pooling(FCN-AC-ASPP).For a picture taken by a smart phone,firstly,the image is transformed into a regular image by the dewarping algorithm.Secondly,the FCN-AC-ASPP is used to classify printed texts and handwritten texts.Lastly,handwritten texts can be removed by a simple algorithm.Experiments show that the classification accuracy of the FCN-AC-ASPP is better than FCN,DeeplabV3+,FCN-AC.For handwritten texts removal effect,the method of combining dewarping and FCN-AC-ASPP is superior to FCN-AC-ASP alone.
文摘This paper discusses the possibility to use mobile phone network data to monitor spatial policies in land use and transport planning.Monitoring requires robust time series and reproducible concepts linking spatial policies to monitoring outcomes,a requirement differing from current literature where mobile phone data analysis is exemplified in selected areas with privileged data access.Concepts need to serve the evaluation of policy objectives,for example in regional or local area plans.In this study,we,therefore,extend the application of mobile phone network data to monitoring applications comparing urban settlement types and their characteristic mobility patterns.To accomplish this,we link mobile phone records with urban classifications and transport network data,using both visual and computational approaches to mine the data.The article presents comparisons of travel patterns for selected monocentric and polycentric city regions in Germany,testing hypotheses of transit-oriented regional development,as well as testing for congestion risks in the transport network.The results help us to gain a more detailed understanding of spatial and temporal patterns in mobility for different urban types and assess future potentials for monitoring spatial policies with mobile phone network data.
文摘We investigated factors contributing to Internet addiction in 105 Japanese medical students. The subjects were administered by a self-reporting questionnaire designed to evaluate demographic factors, Internet addiction, loneliness, health-related lifestyle factors, depressive state, patterns of behavior, and mobile phone dependence. Results of multivariate logistic regression analysis indicated that loneliness and mobile phone dependence were positively related to degree of addiction. Our findings suggest that Internet addiction is associated with loneliness and mobile phone dependence in Japanese students.
基金Under the auspices of the National Natural Science Foundation of China(No.41571146)China Postdoctoral Science Foundation(No.2019M651784)。
文摘The increasing availability of data in the urban context(e.g.,mobile phone,smart card and social media data)allows us to study urban dynamics at much finer temporal resolutions(e.g.,diurnal urban dynamics).Mobile phone data,for instance,are found to be a useful data source for extracting diurnal human mobility patterns and for understanding urban dynamics.While previous studies often use call detail record(CDR)data,this study deploys aggregated network-driven mobile phone data that may reveal human mobility patterns more comprehensively and can mitigate some of the privacy concerns raised by mobile phone data usage.We first propose an analytical framework for characterizing and classifying urban areas based on their temporal activity patterns extracted from mobile phone data.Specifically,urban areas’diurnal spatiotemporal signatures of human mobility patterns are obtained through longitudinal mobile phone data.Urban areas are then classified based on the obtained signatures.The classification provides insights into city planning and development.Using the proposed framework,a case study was implemented in the city of Wuhu,China to understand its urban dynamics.The empirical study suggests that human activities in the city of Wuhu are highly concentrated at the Traffic Analysis Zone(TAZ)level.This large portion of local activities suggests that development and planning strategies that are different from those used by metropolitan Chinese cities should be applied in the city of Wuhu.This article concludes with discussions on several common challenges associated with using network-driven mobile phone data,which should be addressed in future studies.
基金funded by the National High Technology Research and Development Program of China ("863" Program) under Grant No.2002AA1Z2306
文摘Along with the deployment of 3G networks and the launch of diversified mobile Internet services, network service modes and operation modes have greatly changed, and now the smart phone plays a key role. Accordingly, the key technologies for the smart phone, such as the application security management framework, application software authentication mechanism, interoperating capability and dynamic power management should be paid much attention to. The mobile phone vendors are gradually transforming into platform providers who will offer the support for services, including hardware, protocol stacks and storage, instead of providing specific services. Meanwhile, operators and Internet service providers will become the main body of service development.
文摘Cell phone and personal computer use has increased considerably in recent years, particularly in developed countries. These devices have facilitated communication on a global scale. However, there have been a number of reports of health problems related to the electromagnetic waves emitted by such electronic devices. A long list of both general and severe symptoms, including headaches, fatigue, tinnitus, dizziness, memory loss, irregular heartbeat and whole-body skin le-sions, have been reported. These are reportedly associated with the condition known as electro-magnetic hypersensitivity (EHS). This report shows how a subject’s abnormal involuntary body movements, caused by electromagnetic waves emitted by a cell phone, are prevented by placing a gold alloy inlay in the subject’s mouth. It appears that the subject’s involuntary movements are the result of balance dysregulation resulting from EHS. The subject’s various symptoms improve after the specific dental treatment. However, the underlying mechanism of the symptoms and the rea-sons why this treatment is so successful remain unknown. Further research is required to clarify these issues.
文摘With the increasing use of electronic gadgets, the effects of electromagnetic waves on sperm quality have been reported. This study evaluated the capacity of seminal antioxidants to protect spermatozoa from the effects of exposure to non-ionizing cellular phone radiation on markers of semen quality and DNA integrity in an in-vitro model. A total of seventy-three (73) patients attending a fertility centre in Sakumono, Tema metropolis were recruited for this study. About 2 - 3 mls of freshly ejaculated semen was neatly collected by masturbation with consent and analysed according to the 2010 WHO standard semen analysis. A portion of Semen was exposed to non-ionizing cellular phone radiation for three (3) hours. Superoxide dismutase (SOD) activity levels and DNA fragmentation index (DFI) were determined before and after exposure. Data was entered and analysed using SPSS version 20.00 and Graph pad prism. DFI was positively associated with immobility (r = 0.233;p = 0.05) and negatively associated with percentage progressive motility (r = -0.258;p = 0.028), percentage total motility (r = -0.233;p = 0.05) and SOD levels (r = -0.270;p = 0.028). There was a significant positive linear relationship between SOD and progressive motility (r = 0.451;p < 0.0001), vitality (r = 0.725;p < 0.0001) and total motility (r = 0.705, p = 0.05). Higher seminal SOD level is protective against the damaging effects of electromagnetic waves on sperm quality.
基金the National Natural Science Foundation of China(No.61931019).
文摘With increasingly rampant telephone fraud activities,the social impact and economic losses caused to China have increased dramatically.Precise,convenient,and efficient fraudulent phone call recognition has become a challenge since telephone fraud became more varied and covert.To deal with this problem,many researchers have extracted some statistical features of telephone fraud behavior and proposed some machine learning algorithms on the field of fraudulent phone call recognition.In this paper,the calling detail records are utilized to construct a classifier for fraudulent phone call recognition.Meantime,a deep learning approach based on convolutional neural network(CNN)is proposed for better features learning and compared with the existing state-of-the-art machine learning algorithms.It learns phone number and call behavior features of telephone fraud,and improves the accuracy of classification.The evaluation results show that the proposed algorithm outperforms competitive algorithms.
文摘Urban traffic volume detection is an essential part of trafficplanning in terms of urban planning in China. To improve the statisticsefficiency of road traffic volume, this thesis proposes a method for predictingmotor vehicle traffic volume on urban roads in small and medium-sizedcities during the traffic peak hour by using mobile signal technology. Themethod is verified through simulation experiments, and the limitations andthe improvement methods are discussed. This research can be divided intothree parts: Firstly, the traffic patterns of small and medium-sized cities areobtained through a questionnaire survey. A total of 19745 residents weresurveyed in Luohe, a medium-sized city in China and five travel modes oflocal people were obtained. Secondly, after the characteristics of residents’rest and working time are investigated, a method is proposed in this studyfor the distribution of urban residential and working places based on mobilephone signaling technology. Finally, methods for predicting traffic volume ofthese travel modes are proposed after the characteristics of these travel modesand methods for the distribution of urban residential and working placesare analyzed. Based on the actual traffic volume data observed at offlineintersections, the project team takes Luohe city as the research object and itverifies the accuracy of the prediction method by comparing the predictiondata. The prediction simulation results of traffic volume show that the averageerror rate of traffic volume is unstable. The error rate ranges from 10% to 30%.In this thesis, simulation experiments and field investigations are adopted toanalyze why these errors occur.