Safety surveillance is considered one of the most important factors in many constructing industries for green internet of things(IoT)applications.However,traditional safety monitoring methods require a lot of labor so...Safety surveillance is considered one of the most important factors in many constructing industries for green internet of things(IoT)applications.However,traditional safety monitoring methods require a lot of labor source.In this paper,we propose intelligent safety surveillance(ISS)method using a convolutional neural network(CNN),which is an autosupervised method to detect workers whether or not wearing helmets.First,to train the CNN-based ISS model,the labeled datasets mainly come from two aspects:1)our labeled datasets with the full labeled on both helmet and pedestrian;2)public labeled datasets with the parts labeled either on the helmet or pedestrian.To fully take advantage of all datasets,we redesign CNN structure of network and loss functions based on YOLOv3.Then,we test our proposed ISS method based on the specific detection evaluation metrics.Finally,experimental results are given to show that our proposed ISS method enables the model to fully learn the labeled information from all datasets.When the threshold of intersection over union(IoU)between the predicted box and ground truth is set to 0.5,the average precision of pedestrians and helmets can reach 0.864 and 0.891,respectively.展开更多
Ductal carcinoma in situ (DCIS) is a non-invasive malignancy confined within</span></span><span><span><span style="font-family:""><span style="font-family:Verdana;&...Ductal carcinoma in situ (DCIS) is a non-invasive malignancy confined within</span></span><span><span><span style="font-family:""><span style="font-family:Verdana;"> the basement membrane of the breast ductal system. There is a lot of disparity in the natural history of DCIS with an estimated incidence of progression to </span><span style="font-family:Verdana;">invasive ductal carcinoma between 20%</span></span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;"> to</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;"> 53% over ten or more years afte</span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;">r </span><span style="font-family:Verdana;">initial diagnosis. The surgical and adjuvant management of DCIS has advanced significantly in the last couple of decades. Nonetheless, surgeons, medical oncologist</span></span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">s</span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;">, and radiation oncologists, along with their patients, still depend on conve</span><span style="font-family:Verdana;">ntional clinical and pathologic risk factors to make management decisions. Irrespective of the management strategy, long-term survival is excel</span><span style="font-family:Verdana;">lent. The debate around DCIS relates to preventing either under-treatment or over-treatment. In this paper, we will review the incidence and management </span><span style="font-family:Verdana;">options of DCIS. Additionally, we will focus on several current disputes related</span><span style="font-family:Verdana;"> to the management of DCIS, including breast conserving surgery, the role of radiation in breast conservation surgery, sentinel node biopsy in DCIS, hormonal therapy, various risk stratification schem展开更多
The worldwide change and transformations are taking place in socio-techno cultures. In the epicenter of all these Information and Communication Technologies (ICTs), the Internet is the backbone and paving salient comm...The worldwide change and transformations are taking place in socio-techno cultures. In the epicenter of all these Information and Communication Technologies (ICTs), the Internet is the backbone and paving salient communications and computations Medias like the emergence of social networking sites (SNSs). These SNSs are facilitating globalized entertainment, socialization, communications, and information sharing over hand-held electronic gazettes/mobiles like Facebook, Twitter, Instagram, Skype, and WhatsApp etc. The positive side of these SNSs is making the world a social village but apart from these positive aspects, there is another trait of multifold adversities/disruptions or negative effects which still have not been exposed and drawn attention. The remedial action for such adversities is needed to be designed and developed. The all age groups and genders are typically involved and resulting in wastage of time, money and peace of minds. The adverse effects of social media users in a Higher Learning Institutions are getting worse day-by-day. The prime aim of this research study is to design an automatic Surveillance System Framework for alleviation of the social media disruptions in these institutions. This framework aims to design and develop a surveillance system and access control guidelines for judiciously alleviating the misuse of social media. The study used MS form, Protopie, adobe XD and InVision for data collection, framework design and prototype development respectively. This research is an attempt to apply an explanatory and applied research design science approach using survey, interviews and technical observations-based primary data analytics. The study concluded with a cloud-based automatic surveillance, auto alerts and control system framework (DPS-KA-AT) and functionally validated by a system framework prototype. In the survey and interview, the 66% respondents’ response was “YES”, while 34% “NO” when enquired for the need assessment of the automatic surveillance and control system t展开更多
Background: Palivizumab were used for the premature infant or a high-risk infant with congenital heart disease. However, recently outbreak pattern of respiratory syncytial (RS) virus infection has been varying year by...Background: Palivizumab were used for the premature infant or a high-risk infant with congenital heart disease. However, recently outbreak pattern of respiratory syncytial (RS) virus infection has been varying year by year. Moreover, it also has some regional difference. Therefore, the object of the present study was to develop early detection of the timing of that outbreak had started in each prefecture. Method: We used data in National Official Sentinel Surveillance for Infectious Diseases (NOSSID). Study period was March 16th, 2011 to December 30th, 2018. We defined stating period to initiate to take palivizumab as 8 - 12 weeks before from the peak of outbreak. We estimated whether the week is included in starting period or not from April 1st to the peak of outbreak by the past number of patients of RS virus infection on week and its squared. Additionally, we have to take delay in NOSSID into consideration. Results: In nationwide, the last two seasons, the model predicted precisely the starting period. At prefectural level, the model predicted the starting period precisely in 16.6% of all year and prefectures pairs. When we consider the delay in NOSSID into consideration, the patients can start to take in 14.9% of all year and prefectures pairs. Discussion and Conclusion: The result of the probability model was not good, and thus we have to develop more sophisticated model for prediction at prefecture level.展开更多
Background: Bacterial meningitis is an inflammation of the meninges caused mainly by three bacterial species Neisseria meningitidis, Streptococcus pneumoniae and Haemophilus influenzae that are transmitted by nasophar...Background: Bacterial meningitis is an inflammation of the meninges caused mainly by three bacterial species Neisseria meningitidis, Streptococcus pneumoniae and Haemophilus influenzae that are transmitted by nasopharyngeal secretions emitted by carriers. Meningitis is a public health problem in Benin, like all countries in the African meningitis belt. This study aims to analyze the epidemiological surveillance data of meningitis in Benin from 2016 to 2018. Methods: Each suspect case of meningitis was recorded and Cerebrospinal Fluid (CSF) samples were collected. CSF collection was accompanied by the Integrated Disease Surveillance and Response form. This sheet provides information on the patient’s social-demographic and epidemiological data. CSF specimens were sent to the laboratory for analysis and identification (Gram stain, biochemical parameters, and latex agglutination test) of pathogens according to the WHO standards. Results: Of the 2992 patients with suspected meningitis, 2893 were hospitalized with a death rate of 9.4% (281/2992). The sex ratio of registered patients was 1.29 in favor of men. The median age was 4 years (min: 0;max: 90). Patients younger than five years were the most represented (44.8%). During the study period, there was a decrease in the incidence of meningitis per 100,000 inhabitants (6.3 to 3.2 from 2016 to 2018). Of 2928 CSF samples collected we were able to identify 899 pathogenic bacterial species. The most represented species are S. pneumoniae (63.4%), N. meningitidis (24.4%) and H. influenzae (12.2%). Conclusion: The burden of disease is disproportionate in the northern departments as in others. The frequency of bacterial meningitis in the northern region increased during the study period. However, deaths have been recorded in the departments of the South (“Atlantic”, “Plateau”). This suggests an improvement in epidemiological surveillance and case management throughout the national territory.展开更多
Oral potential malignant disorders (OPMDs), a series of local diseases with carcinogenic potential occurred in oral mucosa, have the possibility of developing into oral cancer. Effective diagnosis and surveillance at ...Oral potential malignant disorders (OPMDs), a series of local diseases with carcinogenic potential occurred in oral mucosa, have the possibility of developing into oral cancer. Effective diagnosis and surveillance at the early stage of OPMDs may be of help for interrupting the malignant transformation. In this review, we introduced the available non-invasive approaches of detecting the suspicious lesions, including vital staining, oral cytology, optical detection, saliva biomarkers detection, and image analysis, which can enhance the detection efficiency for the early diagnosis and surveillance of OPMDs. However, limitations which restrict the clinical application of these approaches still exist. How to improve the sensitivity and specificity of these techniques deserves further detailed study.展开更多
文摘Safety surveillance is considered one of the most important factors in many constructing industries for green internet of things(IoT)applications.However,traditional safety monitoring methods require a lot of labor source.In this paper,we propose intelligent safety surveillance(ISS)method using a convolutional neural network(CNN),which is an autosupervised method to detect workers whether or not wearing helmets.First,to train the CNN-based ISS model,the labeled datasets mainly come from two aspects:1)our labeled datasets with the full labeled on both helmet and pedestrian;2)public labeled datasets with the parts labeled either on the helmet or pedestrian.To fully take advantage of all datasets,we redesign CNN structure of network and loss functions based on YOLOv3.Then,we test our proposed ISS method based on the specific detection evaluation metrics.Finally,experimental results are given to show that our proposed ISS method enables the model to fully learn the labeled information from all datasets.When the threshold of intersection over union(IoU)between the predicted box and ground truth is set to 0.5,the average precision of pedestrians and helmets can reach 0.864 and 0.891,respectively.
文摘Ductal carcinoma in situ (DCIS) is a non-invasive malignancy confined within</span></span><span><span><span style="font-family:""><span style="font-family:Verdana;"> the basement membrane of the breast ductal system. There is a lot of disparity in the natural history of DCIS with an estimated incidence of progression to </span><span style="font-family:Verdana;">invasive ductal carcinoma between 20%</span></span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;"> to</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;"> 53% over ten or more years afte</span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;">r </span><span style="font-family:Verdana;">initial diagnosis. The surgical and adjuvant management of DCIS has advanced significantly in the last couple of decades. Nonetheless, surgeons, medical oncologist</span></span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">s</span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;">, and radiation oncologists, along with their patients, still depend on conve</span><span style="font-family:Verdana;">ntional clinical and pathologic risk factors to make management decisions. Irrespective of the management strategy, long-term survival is excel</span><span style="font-family:Verdana;">lent. The debate around DCIS relates to preventing either under-treatment or over-treatment. In this paper, we will review the incidence and management </span><span style="font-family:Verdana;">options of DCIS. Additionally, we will focus on several current disputes related</span><span style="font-family:Verdana;"> to the management of DCIS, including breast conserving surgery, the role of radiation in breast conservation surgery, sentinel node biopsy in DCIS, hormonal therapy, various risk stratification schem
文摘The worldwide change and transformations are taking place in socio-techno cultures. In the epicenter of all these Information and Communication Technologies (ICTs), the Internet is the backbone and paving salient communications and computations Medias like the emergence of social networking sites (SNSs). These SNSs are facilitating globalized entertainment, socialization, communications, and information sharing over hand-held electronic gazettes/mobiles like Facebook, Twitter, Instagram, Skype, and WhatsApp etc. The positive side of these SNSs is making the world a social village but apart from these positive aspects, there is another trait of multifold adversities/disruptions or negative effects which still have not been exposed and drawn attention. The remedial action for such adversities is needed to be designed and developed. The all age groups and genders are typically involved and resulting in wastage of time, money and peace of minds. The adverse effects of social media users in a Higher Learning Institutions are getting worse day-by-day. The prime aim of this research study is to design an automatic Surveillance System Framework for alleviation of the social media disruptions in these institutions. This framework aims to design and develop a surveillance system and access control guidelines for judiciously alleviating the misuse of social media. The study used MS form, Protopie, adobe XD and InVision for data collection, framework design and prototype development respectively. This research is an attempt to apply an explanatory and applied research design science approach using survey, interviews and technical observations-based primary data analytics. The study concluded with a cloud-based automatic surveillance, auto alerts and control system framework (DPS-KA-AT) and functionally validated by a system framework prototype. In the survey and interview, the 66% respondents’ response was “YES”, while 34% “NO” when enquired for the need assessment of the automatic surveillance and control system t
文摘Background: Palivizumab were used for the premature infant or a high-risk infant with congenital heart disease. However, recently outbreak pattern of respiratory syncytial (RS) virus infection has been varying year by year. Moreover, it also has some regional difference. Therefore, the object of the present study was to develop early detection of the timing of that outbreak had started in each prefecture. Method: We used data in National Official Sentinel Surveillance for Infectious Diseases (NOSSID). Study period was March 16th, 2011 to December 30th, 2018. We defined stating period to initiate to take palivizumab as 8 - 12 weeks before from the peak of outbreak. We estimated whether the week is included in starting period or not from April 1st to the peak of outbreak by the past number of patients of RS virus infection on week and its squared. Additionally, we have to take delay in NOSSID into consideration. Results: In nationwide, the last two seasons, the model predicted precisely the starting period. At prefectural level, the model predicted the starting period precisely in 16.6% of all year and prefectures pairs. When we consider the delay in NOSSID into consideration, the patients can start to take in 14.9% of all year and prefectures pairs. Discussion and Conclusion: The result of the probability model was not good, and thus we have to develop more sophisticated model for prediction at prefecture level.
文摘Background: Bacterial meningitis is an inflammation of the meninges caused mainly by three bacterial species Neisseria meningitidis, Streptococcus pneumoniae and Haemophilus influenzae that are transmitted by nasopharyngeal secretions emitted by carriers. Meningitis is a public health problem in Benin, like all countries in the African meningitis belt. This study aims to analyze the epidemiological surveillance data of meningitis in Benin from 2016 to 2018. Methods: Each suspect case of meningitis was recorded and Cerebrospinal Fluid (CSF) samples were collected. CSF collection was accompanied by the Integrated Disease Surveillance and Response form. This sheet provides information on the patient’s social-demographic and epidemiological data. CSF specimens were sent to the laboratory for analysis and identification (Gram stain, biochemical parameters, and latex agglutination test) of pathogens according to the WHO standards. Results: Of the 2992 patients with suspected meningitis, 2893 were hospitalized with a death rate of 9.4% (281/2992). The sex ratio of registered patients was 1.29 in favor of men. The median age was 4 years (min: 0;max: 90). Patients younger than five years were the most represented (44.8%). During the study period, there was a decrease in the incidence of meningitis per 100,000 inhabitants (6.3 to 3.2 from 2016 to 2018). Of 2928 CSF samples collected we were able to identify 899 pathogenic bacterial species. The most represented species are S. pneumoniae (63.4%), N. meningitidis (24.4%) and H. influenzae (12.2%). Conclusion: The burden of disease is disproportionate in the northern departments as in others. The frequency of bacterial meningitis in the northern region increased during the study period. However, deaths have been recorded in the departments of the South (“Atlantic”, “Plateau”). This suggests an improvement in epidemiological surveillance and case management throughout the national territory.
文摘Oral potential malignant disorders (OPMDs), a series of local diseases with carcinogenic potential occurred in oral mucosa, have the possibility of developing into oral cancer. Effective diagnosis and surveillance at the early stage of OPMDs may be of help for interrupting the malignant transformation. In this review, we introduced the available non-invasive approaches of detecting the suspicious lesions, including vital staining, oral cytology, optical detection, saliva biomarkers detection, and image analysis, which can enhance the detection efficiency for the early diagnosis and surveillance of OPMDs. However, limitations which restrict the clinical application of these approaches still exist. How to improve the sensitivity and specificity of these techniques deserves further detailed study.