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Last semester, my prerequisite java class was not available at the time of registration.
So after finding this article that java is now supported by AI, i started wondering if i can use this new knowledge.
If I write a program that takes an ArrayList as input and output a list without duplicates based on the values in the ArrayList, do I have to use the new CopyOnWriteArrayList.
What does copy-on-write mean?
Why do some tasks such as iterating over the elements or searching the elements in an ArrayList are much faster than creating a new ArrayList and comparing the old one with the new one?
When does it make sense to use these classes rather than creating a List?
What are the differences of CopyOnWriteArrayList over ArrayList?

I need to extract Json data from I am trying to download json data with class java.io.FileInputStream but only see the first 5 json entries and then I only see html. I tried to use streamReader but to no avail.I am using Putty to download the file. I am in Sweden

The two major explanations for the long-lasting use of the KKT heuristics are: “(1) the heuristics is so simple and elegant that it is easy to identify many good-quality feasible solutions, especially when the number of primal and dual variables is small relative to the problem dimension, and the fundamental barrier in the path of local optima” (Theory and algorithms for linear programming, San Diego: Academic Press, 1973, pg.

1. One way of solving a Quadratic Program (QP) is to use the KKT heuristics (Kuhn, et al., 1978). These heuristics are based on the dual problem obtained from the QP and are based on the Cauchy-Schwarz inequality. They directly address the problem of how much feasible solution information should be obtained before the problem becomes tractable. These heuristics are used for multiple applications including:

Solving Quadratic Programming (QP), Linear Programming (LP), and Mixed Integer Quadratic Programming (MIQP) problems.

Solving Optimization with the KKT Method in MATLAB Slices: a Numerical Experiment.

Convex Programming (CP) problems.

The idea behind

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Algorithm for intravenous noninvasive ventilation during general anesthesia for pediatric airway emergencies.
Noninvasive ventilatory support is rarely used in a general anesthesia environment. However, when it is used, it is usually for urgent situations in which a difficult airway is expected. The objective of this study was to describe the use of noninvasive ventilation during a general anesthesia for airway emergencies in children. Retrospective review of all cases of airway emergency in which noninvasive ventilation was used during general anesthesia for a pediatric population between January 1, 2011, and December 31, 2012. The medical record of every patient in whom noninvasive ventilation was administered for a pediatric airway emergency was reviewed. General anesthesia was used in 377 cases during the study period. Noninvasive ventilation was used in 52 cases, and a combined strategy was used in 9 cases, all of which occurred in neonates (median age 1.1 months, range 0.6-4.3 months; median weight 3.6 kg, range 1.9-8.2 kg). Twenty-three of the 52 patients in the noninvasive ventilation group had airway obstruction, and 28 had cardiac arrest. In the noninvasive ventilation group, the most common etiology was apnea of prematurity, which occurred in 14 of the 23 neonates. The duration of noninvasive ventilation support in the neonate population varied (median duration 4.3 h, range 1.6-6.3 h). In this study, we described the case of a 0.6-month-old neonate who received noninvasive ventilation for airway obstruction due to aspiration of gastric contents. We also reviewed the use of noninvasive ventilation in an attempt to describe a protocol to facilitate its use for airway emergencies during general anesthesia. We recommend the use of noninvasive ventilation during general anesthesia for airway emergencies in
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