5 s, the accuracy rate of predicting medium-risk or high-risk status occurring in the next 0.7 s is higher than 85 % using multi-layer perceptron model. Meanwhile, the results from the analysis of influencing factors show that the input variables related to the risk status score higher in the ranking of feature importance. A part from that, speed difference, headway distance, speed and acceleration are still important in predicting driving risk status. The proposed methods in this paper can be applied in connected and autonomous vehicle (CAV) to reduce driver cognitive workload and hence improve driving safety fed with naturalistic driving data collected using in-vehicle systems. To characterize the clinical features of occlusive retinal vasculitis (ORV). Retrospective case series. 42 patients with ORV. A retrospective chart review identified all patients with ORV seen by the University of Colorado uveitis service between 1/2013 and 4/2020. All included patients had non-infectious uveitis and evidence of vascular occlusion in the presence of retinal vascular inflammation on widefield fluorescein angiography. Demographic data, visual acuity, clinical findings, and fluorescein angiography findings. We identified 73 eyes from 42 patients (15 male, 27 female) with ORV. 31 of 42 patients had bilateral disease. The majority of eyes (54/73) had mixed arteriolar/venous vasculitis compared to primarily arteriolar (6/73) or venous (15/73). 13 of 42 patients had an underlying systemic condition, most commonly granulomatosis with polyangiitis, however bilaterality was not associated with a systemic condition. Retinal non-perfusion was present equally in zone 2 (28/73) and zone 3 (28/73) compared to zone 1 (16/73). Retinal or iris neovascularization was present in 25 of 73 eyes. 18 of 42 of patients required more than one immunosuppressive medication (average 1.33) to prevent progressive vascular occlusive disease. ORV is a heterogenous entity with significant risk of visual impairment. Systemic disease was more prevalent in this specific cohort compared to prior studies of retinal vasculitis.ORV is a heterogenous entity with significant risk of visual impairment. Systemic disease was more prevalent in this specific cohort compared to prior studies of retinal vasculitis.Many inhaler devices with varying handling requirements for optimal use are available for the treatment of asthma and chronic obstructive pulmonary disease (COPD). Patients may be prescribed different device types for reliever and maintenance medications, which may lead to confusion and suboptimal device use. We aimed to understand whether simplifying inhaler regimens by employing a single device type in patients who use multiple devices or prescribing a device with which a patient was already experienced could improve clinical and economic outcomes in asthma and COPD management. A targeted literature search was performed and additional articles were identified through hand searching citations within screened publications. A total of 114 articles were included in the final review. Findings suggest that simplifying inhaler regimens by applying the same type of inhaler for concomitant inhaled medications over time minimizes device misuse, leading to improved clinical outcomes and reduced health care use in patients with asthma or COPD. Physicians should consider a patient's suitability for a device and training needs when prescribing an inhaled medication and before changing the medication type or dose, especially when suboptimal treatment outcomes are observed. Further research is required to determine whether consistent use of the same device type is associated with better treatment adherence and persistence in patients with asthma or COPD. Nevertheless, this literature review identified clinical benefits and reduced health care use with simplified inhaler regimens.Atrial fibrillation (AF) is the most frequently encountered arrhythmia in clinical practise. One of the major problems in the management of AF is the difficulty in identifying the arrhythmia sources from clinical recordings. That difficulty occurs because it is currently impossible to verify algorithms which determine these sources in clinical data, as high resolution true excitation patterns cannot be recorded in patients. Therefore, alternative approaches, like computer modelling are of great interest. In a recent published study such an approach was applied for the verification of one of the most commonly used algorithms, phase mapping (PM). see more A meandering rotor was simulated in the right atrium and a basket catheter was placed at 3 different locations at the Superior Vena Cava (SVC), the Crista Terminalis (CT) and at the Coronary Sinus (CS). It was shown that although PM can identify the true source, it also finds several false sources due to the far-field effects and interpolation errors in all three posit.02cmms had a stronger effect on the false rotors than on the true rotor. This led to a detection rate of 56.6% for the true rotor, while all the other false rotors disappeared. A similar trend was observed for the CT position. For the CS position, DGM already had a low performance for the true rotor for CVmin=0.01cmms (14.7%). For CVmin=0.02cmms the false and the true rotors could therefore not be distinguished. We can conclude that DGM can overcome some of the limitations of PM by varying one of its input parameters (CVmin). The true rotor is less dependent on this parameter than the false rotors, which disappear at a CVmin=0.02cmms. In order to increase to detection rate of the true rotor, one can decrease CVmin and discard the new rotors which also appear at lower values of CVmin.Early diagnosis of breast lesions and differentiation of malignant lesions from benign lesions are important for the prognosis of breast cancer. In the diagnosis of this disease ultrasound is an extremely important radiological imaging method because it enables biopsy as well as lesion characterization. Since ultrasonographic diagnosis depends on the expert, the knowledge level and experience of the user is very important. In addition, the contribution of computer aided systems is quite high, as these systems can reduce the workload of radiologists and reinforce their knowledge and experience when considered together with a dense patient population in hospital conditions. In this paper, a hybrid based CNN system is developed for diagnosing breast cancer lesions with respect to benign, malignant and normal. Alexnet, MobilenetV2, and Resnet50 models are used as the base for the Hybrid structure. The features of these models used are obtained and concatenated separately. Thus, the number of features used are increased.