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Author(s):  
Eric G. Post ◽  
Janet E. Simon PhD ◽  
Hannah Robison ◽  
Sarah N. Morris ◽  
David R. Bell

ABSTRACT Context: With 8 million annual participants in the United States, the epidemiology of sports-related injuries in high school athletics has garnered significant interest. The most recent studies examining overuse injury rates in high school sports reported data from 2012–2013 and therefore may not reflect current overuse injury rates in high school sports. Objective: To 1) to determine overuse time-loss (TL) and non-time-loss (NTL) injury rates among high school student athletes using NATION-SP data collected from 2014–2015 to 2018–2019 and 2) compare overuse injury rates based on student-athlete gender defined by sport, sport, and injury location. Design: Descriptive epidemiology study. Setting: Online injury surveillance from 211 high schools (345 individual years of high school data). Patients or Other Participants: Athletes participating in secondary school-sponsored boys' and girls' sports. Main Outcome Measures: Boys' and girls' overuse injury data from the National Athletic Treatment, Injury and Outcomes Network Surveillance Program (NATION-SP) from the 2014–2015 to 2018–2019 school years were analyzed. Overuse injuries were identified using a combination of reported injury mechanism and diagnosis. TL injuries resulted in restriction from participation beyond the day of injury; a NTL injury did not result in restriction from participation beyond the day of injury or lost no time due to the injury. Injury counts, rates, and rate ratios (IRRs) were reported with 95% confidence intervals (CIs). Results: The overall overuse injury rate was 5.3/10,000 AEs (95%CI=5.1, 5.7), the NTL overuse injury rate was 3.4/10,000 AEs (95%CI=3.1, 3.6), and the TL overuse injury rate was 2.0/10,000 AEs (95%CI=1.8, 2.2). The overuse injury rate was greater in girls' sports compared to boys' sports (IRR=1.9; 95%CI=1.7, 2.1). The highest rates of overuse injury were reported in girls' cross-country (19.2/10,000 AEs; 95%CI=15.0, 24.2), girls' track and field (16.0/10,000 AEs; 95%CI=13.5, 18.8), and girls' field hockey (15.1/10,000 AEs; 95%CI=10.2, 21.6). Overuse injury rates were highest for the lower extremity compared to the upper extremity (IRR=5.7; 95%CI=4.9, 6.7) and for the lower extremity compared to the trunk and spine (IRR=8.9; 95%CI=7.3, 10.8). Conclusions: Awareness of overuse injury risk as well as prevention and intervention recommendations are necessary and should be specifically targeted towards cross-country, field hockey, and track and field athletes.


Author(s):  
Simon Karanja ◽  
Badru R.A

Surveillance along the Kenya-Somalia border has been a big challenge that has continuously puzzled the security personnel, due to insurgency of armed militia Al-Shabaab from Somalia , the Kenyan government proposed construction of a barrier wall. This project developed a low cost wireless sensor network surveillance system to be deployed along the Kenya-Somalia border. The research study utilized two PIR sensor for detecting human intrusion, one motion is detected the sensor transmit the data via an Xbee module. Arduino microcontroller was used to process the data collected by the sensor before transmission. The system developed has two units, the Transmitter unit and a User Graphic interface running on Tuna Term software that displays the received data. During testing, the prototype system detected human intrusion, using the Arduino serial monitor the results were displayed before being package for transmission.


Author(s):  
Jaap van Till

This chapter is about some observations of the social and economic impact of ICT and ICT digital infrastructures and more specifically what users do with processing and telecommunication power tools. Network architects should be aware of those. Computer systems are no longer neutral tools, but they influence companies, public policies for control and institutions, and civil society cooperatives. Even the internet architecture board (IAB) has issued a directive about these effects. Electronic and network surveillance of users and what they do is growing with effects on elections. ICT is at the core of several large-scale transitions identified in this chapter. Groups of people who are immune to social media propaganda and alternative truth are discovered. And the chapter is rounded off with a hopeful vision about constructive value creation in cooperatives and science teams, making use of liberty of though and diversity of backgrounds. Making swarms and micro grids makes society alive again. Social super resolution is an interesting direction to pursue together.


2020 ◽  
Author(s):  
Sarah N. Morris ◽  
Avinash Chandran ◽  
Erin B. Wasserman ◽  
Sara L. Quetant ◽  
Hannah J. Robison ◽  
...  

Abstract Background: The National Athletic Treatment, Injury, and Outcomes Network Surveillance Program (NATION-SP) was established in 2011 to provide a comprehensive appraisal of injuries sustained by high school student-athletes receiving services from athletic trainers (ATs). The purpose of this manuscript is to update the surveillance methodology of NATION-SP for data reported during the 2014/15 through 2018/19 academic years. Surveillance system structure: NATION-SP used a convenience sample of US high schools with access to ATs via a rolling recruitment model. ATs at participating institutions volunteered to contribute data through electronic medical records systems; common data elements were then pushed to and maintained by the Datalys Center. ATs completed detailed reports on each injury, including condition and circumstances. The treatments component was used to comprehensively assess services provided to athletes by ATs. The outcomes companion component was developed to monitor patient-reported outcomes following athletic injury. Summary: NATION-SP continues to serve a critical purpose in informing injury prevention and treatment efforts among high school athletes.


2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Naixuan Guo ◽  
Junzhou Luo ◽  
Zhen Ling ◽  
Ming Yang ◽  
Wenjia Wu ◽  
...  

Cybercrime is significantly growing as the development of internet technology. To mitigate this issue, the law enforcement adopts network surveillance technology to track a suspect and derive the online profile. However, the traditional network surveillance using the single-device tracking method can only acquire part of a suspect’s online activities. With the emergence of different types of devices (e.g., personal computers, mobile phones, and smart wearable devices) in the mobile edge computing (MEC) environment, one suspect can employ multiple devices to launch a cybercrime. In this paper, we investigate a novel cross-device tracking approach which is able to correlate one suspect’s different devices so as to help the law enforcement monitor a suspect’s online activities more comprehensively. Our approach is based on the network traffic analysis of instant messaging (IM) applications, which are typical commercial service providers (CSPs) in the MEC environment. We notice a new habit of using IM applications, that is, one individual logs in the same account on multiple devices. This habit brings about devices’ receiving sync messages, which can be utilized to correlate devices. We choose five popular apps (i.e., WhatsApp, Facebook Messenger, WeChat, QQ, and Skype) to prove our approach’s effectiveness. The experimental results show that our approach can identify IM messages with high F1-scores (e.g., QQ’s PC message is 0.966, and QQ’s phone message is 0.924) and achieve an average correlating accuracy of 89.58% of five apps in an 8-people experiment, with the fastest correlation speed achieved in 100 s.


2020 ◽  
Vol 55 (2) ◽  
pp. 188-194
Author(s):  
Alison R. Snyder Valier ◽  
Kellie C. Huxel Bliven ◽  
Amy Gibson ◽  
Janet Simon ◽  
Thomas P. Dompier ◽  
...  

Context Most studies of injury trends associated with softball focus on injuries requiring at least 24 hours of missed participation time (time-loss [TL] injuries), with little focus on those that do not (non–time-loss [NTL] injuries). A better understanding of injury trends associated with softball will improve athlete care. Objective To describe NTL and TL injuries experienced by secondary school girls' softball players. Design Descriptive epidemiology study. Setting Secondary school athletic training clinics. Patients or Other Participants Secondary school girls' softball players. Main Outcome Measure(s) Aggregate data were collected from schools participating in the National Athletic Treatment, Injury, and Outcomes Network surveillance program during the 2011–2012 through 2013–2014 academic years. Frequencies and rates of injuries (NTL and TL) according to time of season, event type, body part injured, and diagnosis were analyzed. Results In total, 1059 injuries were reported during 140 073 athlete-exposures (AEs): overall injury rate = 7.56/1000 AEs. Of these injuries, 885 (83.6%) were NTL (NTL rate = 6.32/1000 AEs) and 174 (16.4%) were TL (TL rate = 1.24/1000 AEs). Of the NTL and TL injuries, the largest numbers occurred during the regular season (NTL: n = 443 [50.1%]; TL: n = 131 [75.3%]). Injuries sustained during practices accounted for the majority of NTL and TL injuries (NTL: n = 631 [71.3%]; TL: n = 104 [59.8%]). The NTL injuries occurred most often at the shoulder (n = 134 [15.1%]) and hand/fingers (n = 109 [12.3%]) and were diagnosed as contusions (n = 316 [35.7%]), strains (n = 157 [17.7%]), and abrasions (n = 151 [17.1%]). The largest numbers of TL injuries were to the head/face (n = 71 [40.8%]) and diagnosed as concussions (n = 50 [28.7%]) and strains (n = 28 [16.1%]). Conclusions Secondary school softball players sustained a larger proportion of NTL injuries than TL injuries. Although NTL injuries may be less severe, they are numerous. Efforts are needed to ensure that injury-prevention programs are incorporated into the care of softball athletes to promote health and reduce injury occurrence.


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