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Traditional healthcare services have transitioned into modern healthcare services where doctors remotely diagnose the patients. Cloud computing plays a significant role in this change by providing easy access to patients' medical records to all stakeholders, such as doctors, nurses, patients, life insurance agents, etc. Cloud services are scalable, cost-effective, and offer a broad range of mobile access to patients' electronic health record (EHR). Despite the cloud's enormous benefits like real-time data access, patients' EHR security and privacy are major concerns. Since the information about patients' health is highly sensitive and crucial, sharing it over the unsecured wireless medium brings many security challenges such as eavesdropping, modifications, etc. Considering the security needs of remote healthcare, this paper proposes a robust and lightweight, secure access scheme for cloud-based E-healthcare services. The proposed scheme addresses the potential threats to E-healthcare by providing a secure interface to stakeholders and prohibiting unauthorized users from accessing information stored in the cloud. The scheme makes use of multiple keys formed through the key derivation function (KDF) to ensure end-to-end ciphering of information for preventing misuse. The rights to access the cloud services are provided based on the identity and the association between stakeholders, thus ensuring privacy. Due to its simplicity and robustness, the proposed scheme is the best fit for protecting data security and privacy in cloud-based E-healthcare services.In recent years, smartphone users are interested in large volumes to view live videos and sharing video resources over social media (e.g., Youtube, Netflix). The continuous streaming of video in mobile devices faces many challenges in network parameters namely bandwidth estimation, congestion window, throughput, delay, and transcoding is a challenging and time-consuming task. To perform these resource-intensive tasks via mobile is complicated, and hence, the cloud is integrated with smartphones to provide Mobile Cloud Computing (MCC). To resolve the issue, we propose a novel framework called delay aware bandwidth estimation and intelligent video transcoder in mobile cloud. In this paper, we introduced four techniques, namely, Markov Mobile Bandwidth Cloud Estimation (MMBCE), Cloud Dynamic Congestion Window (CDCW), Queue-based Video Processing for Cloud Server (QVPS), and Intelligent Video Transcoding for selecting Server (IVTS). To evaluate the performance of the proposed algorithm, we implemented a testbed u2 ms and the server's utilization by 20%. Hence, in this work, the cloud minimizes delay effectively to deliver a good quality of video streaming on mobile.
This study examined the Childhelp Speak Up Be Safe (CHSUBS) child abuse prevention curriculum for high school students and addressed a gap in evidence-based child maltreatment prevention programs. CHSUBS is grounded in theory and was developed to 1) provide students with the skills they need to prevent or interrupt child abuse, bullying, and neglect, and 2) increase student knowledge about safety related to abuse.
Utilizing a cluster-randomized controlled trial design, the three high schools were randomly assigned to participate in the CHSUBS curriculum or the control group. Survey items measured the efficacy of the curriculum in grades 9 through 12. Surveys were implemented at baseline, immediately after the intervention, and after 6 months for a follow-up. Analyses included exploratory factor analyses and a paired samples
test to determine whether increases in child maltreatment knowledge and resistance skills were gained.
Findings showed positive significant results that child maltreatment knowledge and resistance skills were significantly different from pre to post for the CHSUBS group and showed no significant control group changes.
High school students in the CHSUBS group appeared to gain both child maltreatment knowledge and resistance skills. Future studies on prevention programming for high school students might show results that lead to a reduction in child maltreatment and an increase in better health outcomes for adolescents.
High school students in the CHSUBS group appeared to gain both child maltreatment knowledge and resistance skills. Future studies on prevention programming for high school students might show results that lead to a reduction in child maltreatment and an increase in better health outcomes for adolescents.The coronavirus disease 2019 (COVID-19) is characterized by viral pneumonia with mild to moderate symptoms. Emerging studies suggest that some patients may experience uncommon complications, such as thrombotic or hemorrhagic episodes. click here Here we present a 59-year-old male patient who had a hemorrhage episode from a branch of the pulmonary arteries and was treated by interventional embolization. Our case report demonstrates the importance of early diagnosis of hemorrhagic complications of COVID-19 and the possible benefits of early vascular intervention.The SARS-CoV-2 infection has been predominately associated with lung disease. However, emerging evidence has associated the COVID-19 infection with a hypercoagulable state. This hypercoagulable state can occur despite the use of anticoagulants and antiplatelets. In fact, it may even be the presenting symptom of COVID-19 in some patients. Thromboembolism associated with COVID-19 carries a worse prognosis and should be identified as early as possible. Therefore, we report 2 patients with arterial thrombosis in the form of limb ischemia in the setting of COVID-19.The request for CT (computed tomography) diagnostic in patients with suspected COVID-19 pneumonia has become part of the daily clinical routine. We reported a case of a 61-year-old patient with flu-like symptoms and a suspected COVID-19 pneumonia. After a negative PCR-test (polymerase chain reaction), a non-contrast enhanced CT was performed which revealed a suspicious hyperdensity in the left pulmonary artery and a pneumonia in the left lower lobe. A contrast enhanced CT confirmed a pulmonary embolism. An acute pulmonary embolism is a major complication and a main differential diagnosis of COVID-19. A hyperdense pulmonary artery sign (PAS) is a sensitive sign for a pulmonary embolism. Non-enhanced chest CT scans should be checked for hyperdense PAS in suspected of COVID-19 patients.
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