Kawasaki disease (KD) is an inflammatory vasculitis. KD is classified into two groups based on clinical characteristics criteria, namely classic and incomplete. Cerebral vascular abnormality, ...especially arterial ischemic stroke (AIS) is very rare and unusual in KD. Here, we report a 4-year-old boy who was referred to our tertiary pediatric center with abrupt right hemiparesis and aphasia. At admission time, he had febrile illness and was toxic. On physical examination, we found unilateral left submandibular lymphadenopathy. On neurologic examination, we obtained right sided hemiparesis with hemiparetic gait and aphasia. His deep tendon reflexes (DTRs) of right extremities were exaggerated and his sensory system was intact. Based on these features, some differential diagnoses were suggested, such as acute encephalitis with focal signs, brain abscess, cerebral vasculitis, hemorrhagic insults, and ischemic stroke, etc. After a complete evaluation, especially brain MRI and MRA, our diagnosis was arterial ischemic stroke (AIS) following atypical KD. Based on these findings, we administered intravenous immunoglobulin (IVIG 2 gm/kg) and oral high dose aspirin (100 mg/kg/d). He responded to these anti-inflammatory treatments dramatically.
Discussions over paid peering and usage fees have become a global phenomenon, with ISPs insisting content providers pay for the substantial downstream traffic they generate, while content providers ...argue for settlement-free agreements, citing that consumers already pay ISPs for content delivery and content providers reduce costs for ISPs by delivering traffic close to customers. This contention is echoed in debates around net neutrality and related policies across the United States, Europe, and South Korea, prompting regulators to consider whether to regulate peering prices and/or impose usage fees. This question gains significance in the United States in light of the recent Federal Communications Commission (FCC) decision to consider the reinstatement of net neutrality rules. Our study examines whether the peering price set by the market aligns with the socially optimal peering price. We first analyze the cost-based peering price, which reflects the ISP's incremental costs for direct content delivery versus via transit providers. We discover that this price can effectively be zero with sufficient content localization, yet remains above zero without it, influenced by the number of interconnection points. We then evaluate the profit-maximizing peering price using a two-sided market model, finding that increased content localization decreases this price. These prices establish a range if the peering price is unregulated, from the cost-based peering price (at the low end) to the profit-maximizing peering price (at the high end). Regulatory oversight of peering prices may be warranted when there is a substantial difference between cost-based and profit-maximizing prices. Finally, our study informs the debate on potential regulatory interventions about peering prices or usage fees. We compare unregulated market outcomes with those under regulatory measures aimed at maximizing consumer surplus or social welfare. Through our analysis, we identify optimal peering prices within our determined range, considering the influence of content localization and interconnection points on these prices.
POLR3A is a main subunit encoding RNA polymerase III, which is involved in transcription of many RNA structures. Here, we report a new presentation of c.1771‐6C > G intronic variant presenting as ...developmental regression, seizure, and dystonia in a 6‐year‐old boy associated with striatum involvement in the brain MRI.
A new presentation of POLR3A gene mutation presenting as developmental regression, seizure and dystonia in a 6‐year‐old boy associated with striatum involvement in the brain MRI.
In this article, a method was proposed for strapdown inertial navigation systems initial alignment by drawing on the conventional alignment method for stable platform navigation systems. When a ...vessel is moored, the strapdown inertial navigation system contributes to the disturbing motion. Moreover, the conventional methods of accurate alignment fail to succeed within an acceptable period of time due to the slow convergence of the heading channel in the mooring conditions. In this work, the heading was adjusted using the velocity bias resulting from the component of the angular velocity of the Earth on the east channel on the strapdown inertial navigation systems analytic platform plane to accelerate convergence in the initial alignment of navigation system. To this end, an extended Kalman filter with control signal feedback was used. The heading error was calculated using the north channel residual velocity of the strapdown inertial navigation systems analytic platform plane and was entered into an extended Kalman filter. Simulation and turntable experimental tests were indicative of the ability of the proposed alignment method to increase heading converge speed in mooring conditions.
Drug-induced hypersensitivity syndrome (DHS), also named drug rash with Eosinophilia and systemic symptoms (DRESS) is a potentially dangerous side effect of some drugs, especially antiepileptic drugs ...(AEDs) such as phenobarbital, phenytoin, carbamazepine, lamotrigine, primidone, etc. It can also be caused by other drugs, such as sulfonamides and captopril. Diagnosis of DHS may be difficult because of the variety of clinical and laboratory abnormalities and manifestations and because the syndrome may mimic infectious or collagen vascular disorders. Management includes immediate withdrawal of the culprit drug, supportive care and systemic steroids or Immunoglobulins (IVIG). Here, we briefly reviewed the literature, followed by a case report that had all of the criteria of DRESS without eosinophilia.
Purpose
A vision-assisted fuzzy adaptive sliding mode controller is presented in this research and implemented on a nonlinear helicopter model, which is about to land on a moving ship. Stabilization ...of the dynamics and tracking the landing path are required, at the same time. This study aims to take one step closer to fully autonomous landing, which is a growing trend.
Design/methodology/approach
An integrated guidance and control is considered for the model helicopter. A fuzzy logic is designed to adaptively choose the best control parameters for the sliding mode controller and solve the challenge of parameter tuning. A self-organizing matrix consisting of fuzzy sliding mode parameters is formed instead of a single parameter with the goal of enhancing controller tracking capability. A simple, precise and fast image recognition system based on OpenCV is used to detect the proper point for descending without getting any special data from the ship and by only using a general “H” sign.
Findings
The problem is simulated under intense disturbances, while the approach and landing performances are acceptable. Controller performance is compared and validated. Simulation results show the robustness, agility, stability and outperformance of the proposed controller.
Originality/value
The novelty of this paper is the designed procedure for using a simple image recognition system in the process of autonomous ship-landing, which does not use any special data sent from the ship. Besides, an improved nonlinear controller is designed for integrated guidance and control in this specific application.
Blind Star Identification Algorithm Somayehee, Farshad; Nikkhah, Amir Ali; Roshanian, Jafar ...
IEEE transactions on aerospace and electronic systems,
02/2020, Letnik:
56, Številka:
1
Journal Article
Recenzirano
In this paper, a new algorithm called blind star identification is presented to identify the stars in night sky images without using the intrinsic parameters of the star sensor camera (focal length, ...principal point, and pixel size), and in lost in space mode. The accuracy and reliability of the proposed algorithm were successfully validated by using the real night sky images and Monte Carlo simulations. Accordingly, the proposed algorithm was successfully able to identify in more than 90% of the images containing more than five stars and no wrong identification was observed in the Monte Carlo simulations. On the other hand, the rotation around the optical axis, which cannot be estimated using vector observations, should be minimized in the process of designing and manufacturing the star sensor and carefully measured in the ground calibration, like as the aberration and lens distortion. Ultimately, another advantage of this algorithm is the simultaneous use of planar and interstellar angles. This advantage leads to data redundancy and greater reliability of the algorithm so that the performance of the algorithm is guaranteed under severe error conditions.
This paper presents a novel estimation method for coarse alignment of a marine strapdown inertial navigation system (SINS) under mooring conditions. The properties of gravitational motion are used to ...improve the accuracy of coarse alignment. The parametric motion of gravitational apparent is a circle that is on the surface of a sphere. The location of this parametric circle is dependent on the definition of the reference frames and the initial angles of SINS. In the method proposed here the initial direct cosine matrix is calculated only from the location of the gravity motion parametric circle. The novelty of this paper is to provide a new method for estimating the gravity motion trajectory in inertial frame, as well as direct extraction of the initial direct cosine matrix from this estimated trajectory. Simulation and testing show that the proposed method is suitable for coarse alignment in mooring conditions.
Background
Breath‐holding spells (BHS) are common in infancy and early childhood and may appear like seizures. Factors such as autonomic dysfunction and iron deficiency anemia are thought to ...contribute to the incidence of BHS. In this study, electrocardiographic (ECG) parameters of patients with BHS were compared to those of healthy, normal children. Logistic regression and machine‐learning (ML) models were then created to predict these spells based on ECG characteristics.
Methods
In this case–control study, 52 BHS children have included as the case and 150 healthy children as the control group. ECG was taken from all children along with clinical examinations. Multivariate logistic regression model was used to predict BHS occurrence based on ECG parameters. ML model was trained and validated using the Gradient‐Boosting algorithm, in the R programming language.
Results
In BHS and control groups, the average age was 11.90 ± 6.63 and 11.33 ± 6.17 months, respectively (p = .58). Mean heart rate, PR interval, and QRS interval on ECGs did not differ significantly between the two groups. BHS patients had significantly higher QTc, QTd, TpTe, and TpTe/QT (all p‐values < .001). Evaluation of the ML model for prediction of BHS, fitting on the testing data showed AUC, specificity, and sensitivity of 0.94, 0.90, and 0.94 respectively.
Conclusion
There are repolarization changes in patients with BHS, as the QTc, QTd, TpTe, and TpTe/QT ratio were significantly higher in these patients, which might be noticeable for future arrhythmia occurrence. In this regard, we developed a successful ML model to predict the possibility of BHS in suspected subjects.
In this case–control study, we initially compared different electrocardiographic (ECG) characteristics of children with a history of the breath‐holding spell (BHS) versus normal subjects, then we developed and evaluated a machine‐learning model to predict BHSs in children with such suspected attacks, based on their ECG parameters.
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