The automation strategy of today’s smart cities relies on large IoT (internet of Things) systems that collect big data analytics to gain insights. Although there have been recent reviews in this field, there is a remarkable gap that addresses four sides of the problem. Namely, the application of video surveillance in smart cities, algorithms, datasets, and embedded systems. In this paper, we discuss the latest datasets used, the algorithms used, and the recent advances in embedded systems to form edge vision computing are introduced. Moreover, future trends and challenges are addressed.
Background: Behçet’s disease (BD) is a chronic autoimmune disease. The early diagnosis of BD is very important to avoid serious and/or fatal complications such as eye damage, severe neurological involvement, and large vessel occlusion. New, sensitive biomarkers would aid in rapid diagnosis, the monitoring of disease activity, and the response to treatment.Methods: This study’s aim is to identify two immune system-related BD biomarkers. We measured long non-coding RNAs (lncRNAs) NEAT1 (nuclear-enriched abundant transcript 1), and lnc-DC (lncRNA in dendritic cells) in serum by real-time polymerase chain reaction (RT-PCR) in 52 BD patients and 52 controls. We analyzed the association between NEAT1 and lnc-DC and the clinical parameters of BD. Receiver operating characteristic (ROC) curve analysis was performed to explore the diagnostic performance of the studied genes.Results: Compared to controls, the significant upregulation of NEAT1 {median [interquartile range (IQR)] = 1.68 (0.38–7.7), p < 0.0001} and downregulation of lnc-DC [median (IQR) = 0.2 (0.12–1.39), p = 0.03] were detected in the sera collected from BD patients. Higher serum expression levels of NEAT1 and lnc-DC were significantly associated with the following clinical presentations: cutaneous lesions, vascular manifestations, articular manifestations, neurological manifestations, and higher disease activity score. Also, high NEAT1 levels were significantly associated with a negative pathergy test, while higher lnc-DC was significantly associated with a positive family history. ROC curves showed that NEAT1 and lnc-DC levels in serum could be used as predictors of BD with high specificity and fair sensitivity. NEAT1 had an area under the curve (AUC) of 0.692 (95% CI: 0.591–0.794, p = 0.001), and lnc-DC had an AUC of 0.615 (95% CI: 0.508–0.723, p = 0.043).Conclusion: Serum lncRNAs NEAT1 and lnc-DC are biomarkers for BD.
Background
Open reduction internal fixation (ORIF) is the gold standard management of fractures of the distal humerus. Stable fixation to allow early mobilization is not always possible in cases with comminuted fracture patterns and bone loss, with a high failure rate. We propose augmentation of internal fixation in these unstable situations with a spanning plate across the elbow to protect the fixation construct temporarily until bone union.
Methods
Eighteen patients with complex distal humeral fractures were managed with standard ORIF technique augmented with a temporary plate spanning across the elbow as an internal fixator. Cases included were either very distal, comminuted (6 cases) or insufficiency fractures (4 cases) or revision fixation cases (8 cases). The temporary spanning plate was removed as soon as signs of early radiographic union were detected.
Results
Seventeen patients were available for final follow up at a mean 28.3 months. The spanning plate was removed after 3.4 months on average. At the final follow-up, the mean elbow total arc of motion was 86.3°. The mean Mayo Elbow Performance Score (MEPS) was 80, and the mean Quick Disabilities of the Arm, Shoulder and Hand (Q-DASH) score was 27.
Conclusion
Spanning the elbow temporarily with a plate in adjunct to standard ORIF technique is both simple and effective in achieving fracture stability and union and minimizes failure rates after fixation of comminuted, very distal fractures, osteoporotic cases, or revision fixation cases with bone loss.
Level of evidence
Level IV, Therapeutic study
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