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JMP Pro is licensed to Cornell University and its use is limited to Cornell University staff, faculty, and students (including Weill Cornell Medical College), and to employees of Cornell-affiliated institutions located on the Ithaca campus (for example, the Boyce Thompson Institute). Use of the software is restricted to individuals who have purchased a license for the current license period. You must log in with your Cornell NetID or Weill CWID to enable the download.
Download JMP from PioneerWeb > Resources Tab > Software Download Box > JMP. When the download is finished open the .dmg file. If JMP is already installed, start JMP and create a new script. If it is not installed, open the JMP-Install and run the installer. If this is a new install, you simply need to choose 'open license' at the start of JMP.
Atlassian recommends that you upgrade to the latest Long Term Support release. For a full description of the latest version, see the Confluence Server and Data Center Release Notes. You can download the latest version from the download centre.
Microsoft 365 (formerly Office 365) provides desktop, online, and mobile access to the variety of Microsoft apps for collaboration and productivity on the go. As a bonus, Sac State licensing provides a free download of Office Pro Plus on up to 5 personal devices.
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The difference in ICH location, as also seen in the study by Martin-Schild et al., is an interesting finding which does not have a very clear explanation. Our study also shows that although spontaneous ICH in a subcortical area is more common among crack-cocaine users, distribution of ICH in various subcortical structures is similar among cocaine-positive and cocaine-negative groups, with the most common area being basal ganglia followed by thalamus, brainstem, and cerebellum. Even though the overall ICH score was not that high in our study, a major component of the mortality percentage was driven by smaller volume ICH primarily in the brainstem location. The mortality in ICH varies with various topographic locations which was shown in a study done by Arboix et al. which showed that the highest mortality (65%) was seen in multiple-topographic involvement while brainstem ICH had a mortality of 40% [25]. Given that the majority of the patients in both groups had a diagnosis of systemic hypertension, a possible mechanism may be that cocaine use causes spikes in BP in patients with preexisting hypertensive cerebral vasculopathy in the subcortical areas, leading to ICH primarily in this location. A study evaluating for chronic hypertensive changes in brain in an autopsy series of 26 patients with cocaine-related ICH, 7 of 19 cases did not have any findings suggestive of chronic vasculopathy. This argues against the background of chronic hypertensive vasculopathy being the sole mechanism responsible for ICH in this population [14]. Perhaps a more reasonable hypothesis would be similar to the one proposed by Kibayashi et al. stating that a combination of cocaine-related spikes in BP, lowering of the upper limit of BP for cerebral autoregulation among cocaine users, and preexisting hypertensive cerebral vasculopathy leads to spontaneous ICH [14].
Harmful contents are rising in internet day by day and this motivates the essence of more research in fast and reliable obscene and immoral material filtering. Pornographic image recognition is an important component in each filtering system. In this paper, a new approach for detecting pornographic images is introduced. In this approach, two new features are suggested. These two features in combination with other simple traditional features provide decent difference between porn and non-porn images. In addition, we applied fuzzy integral based information fusion to combine MLP (Multi-Layer Perceptron) and NF (Neuro-Fuzzy) outputs. To test the proposed method, performance of system was evaluated over 18354 download images from internet. The attained precision was 93% in TP and 8% in FP on training dataset, and 87% and 5.5% on test dataset. Achieved results verify the performance of proposed system versus other related works. Category: Artificial Intelligence 2b1af7f3a8