For all my iOS projects only simulators running iOS 16.4 are listed as Run Destinations ... although I've installed the iOS 13 simulator and corresponding entries are listed under "Devices & Simulators". I've toggled "Show run destination" from "Automatic" to "Always" with no avail. Deployment target is e.g. iOS 13, and I'm running Xcode Version 14.3 (14E222b) on a 14" MBP with Apple Silicon.
It seems that simulators running iOS 13.x and some specific devices runs in "Rosetta"-mode rather than "Apple Silicon". These devices are hidden by default in the latest Xcode version on macs running with Apple Silicon.
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Also note that some devices will remain hidden even after enabling this option, for those you'll have to navigate to Window -> Devices and Simulators -> Simulators and then select the device that's hidden. Then select "Always" on the "Show run destination" option.
I just installed Xcode and the iOS 13.7 simulator on my Intel Mac Mini: After switching the simulator to "show always" it can be selected as a Run Destination and works. Looks like these "older" simulators are not listed on Macs running with Apple Silicon, like my 14" MBP. I'd consider this a bug...
I'm trying to completely remove Rosetta support on the simulators but can't figure it out. I've installed Xcode on top of the older version, removed Xcode, removed all the simulators and yet it still shows:
Yesterday I updated my Visual Studio and Xcode. Immediately afterward I lost any listing of available iOS simulators for my Xamarin project in Visual Studio. I can plug my iPhone in however and deploy my project onto it just fine, but I'm used to working with Preview in VS and also running a simulator for quicker response.
Now Visual Studio shows the only available simulator as being the Generic Simulator with a hammer, which doesn't launch anything that I can tell. When I look at the list to choose a simulator I see the message line: "Lower the 'Deployment Target' to see older simulators or check your Apple SDK path"
When I launch a test project directly from within Xcode, it offers iPhone 8, 8+, 11, 11 Pro and others as available simulators and those indeed work. In Visual Studio I have changed each Deployment Target from 6.0 to 12.2 and not one of those makes available any simulators.
After trying a bunch of suggestions, this simple fix worked for me. First I changed my deployment target in the info.plist from 9.3 to 11. After checking that my Apple SDK path in VS was pointing at Xcode11 and the iOS SDK version on my Mac was 13.0, I simply force quit Visual Studio and Restarted my computer. Then I began to see iPhone8 & iPhone11 simulators. Goodluck.
Ran into this issue many times for the last updates. Nothing really helped, until I came across a Microsoft forum where someone mentioned the Apple SDK path needs a trailing slash, which is not added when using the Browse button to navigate to the Apple SDK Location.
I resolved the issue as well by going under the Visual Studio --> Check for Updates menu and switching the channel to "Xcode 11 Previews". Finally some updates were available and I updated everything normally. I also updated everything in the "Stable" and "Preview" channels as well. Now I have iPhone 8 and iPhone 11 simulators working, however I no longer have any of the other simulators like iPhone 7, etc. like I did before.
I had the same problem when the iOS 14 updates were first installed. I had already installed both XCode and VS updates.What I did is: I restarted the Mac and I had to install the XCode Command-line tools from VS separately. Then the simulators were visible.
After plugging in my physical phone with the usb cable, the list of simulator devices appeared in like 2 seconds... Before plugging in my phone, only the generic simulator and my phone were shown as deployment options
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In the context of veterinary education, simulators are devices or sets of conditions aiming to imitate real patients and enable students to practice skills without the need for live animal use. Simulator use in veterinary education has increased significantly in recent years, allowing consistent practical teaching without reliance on clinical cases. This review examines the available literature regarding the use of simulation and simulators for teaching practical day one competences to veterinary students. Scientific databases were searched and 73 relevant articles were reviewed. The reviewed articles revealed that there are a number of simulators currently available to veterinary educators, that simulators can enhance student skills and provide an alternative learning environment without the need for live animal and/or cadaver use, and that they usually receive positive feedback from the students who use them. There appears to be a bias towards small animal simulators - however, some skills that are developed through the use of small animal or table-top models will be transferrable to other species. The majority of large animal simulators focus on bovine rectal palpation and/or pregnancy diagnosis. Further research is required to increase the repertoire of available simulators for use in veterinary education, in order to improve the practical skills of veterinary students and reduce the use of live animals and cadaver material for teaching purposes.
Context: No single large published randomized controlled trial (RCT) has confirmed the efficacy of virtual simulators in the acquisition of skills to the standard required for safe clinical robotic surgery. This remains the main obstacle for the adoption of these virtual simulators in surgical residency curricula.
Evidence acquisition: In April 2015 a literature search was conducted on PubMed, Web of Science, Scopus, Cochrane Library, the Clinical Trials Database (US) and the Meta Register of Controlled Trials. All publications were scrutinized for relevance to the review and for assessment of the levels of evidence provided using the classification developed by the Oxford Centre for Evidence-Based Medicine.
Evidence synthesis: The publications included in the review consisted of one RCT and 28 cohort studies on validity, and seven RCTs and two cohort studies on skills transfer from virtual simulators to robot-assisted surgery. Simulators were rated good for realism (face validity) and for usefulness as a training tool (content validity). However, the studies included used various simulation training methodologies, limiting the assessment of construct validity. The review confirms the absence of any consensus on which tasks and metrics are the most effective for the da Vinci Skills Simulator and dV-Trainer, the most widely investigated systems. Although there is consensus for the RoSS simulator, this is based on only two studies on construct validity involving four exercises. One study on initial evaluation of an augmented reality module for partial nephrectomy using the dV-Trainer reported high correlation (r=0.8) between in vivo porcine nephrectomy and a virtual renorrhaphy task according to the overall Global Evaluation Assessment of Robotic Surgery (GEARS) score. In one RCT on skills transfer, the experimental group outperformed the control group, with a significant difference in overall GEARS score (p=0.012) during performance of urethrovesical anastomosis on an inanimate model. Only one study included assessment of a surgical procedure on real patients: subjects trained on a virtual simulator outperformed the control group following traditional training. However, besides the small numbers, this study was not randomized.
Conclusions: There is an urgent need for a large, well-designed, preferably multicenter RCT to study the efficacy of virtual simulation for acquisition competence in and safe execution of clinical robotic-assisted surgery.
Patient summary: We reviewed the literature on virtual simulators for robot-assisted surgery. Validity studies used various simulation training methodologies. It is not clear which exercises and metrics are the most effective in distinguishing different levels of experience on the da Vinci robot. There is no reported evidence of skills transfer from simulation to clinical surgery on real patients.
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Quantum simulators are a class of devices that leverage uniquely quantum effects to solve challenging simulation problems that are intractable for classical computers. Prominent examples include predicting the properties of high-temperature superconductivity and modeling photosynthesis. While a universal quantum computer will also be able to tackle these problems, fault-tolerant machines may not be available until far in the future. However, quantum simulation can be advanced in the short term using special-purpose devices. These include analog quantum simulators, which mimic the problem of interest, digital devices that employ algorithms composed of elementary gates, as well as hybrids of the two. Significant progress achieved over the last two decades on developing quantum simulators has opened up new opportunities in the field. In this work, which is the product of a U.S. National Science Foundation supported workshop, we map out the opportunities and challenges in this space. 152ee80cbc
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