This locking scheme uses communication protocols such as TCP/IP to exchange locking information. To achieve this, the nodes employ a cluster-wide locking scheme for file system resources. A GFS2 file system is intended to provide a feature set which is as close as possible to a local file system, while at the same time enforcing full cluster coherency between nodes. The Red Hat Global File System 2 (GFS2) file system is a 64-bit symmetric cluster file system which provides a shared name space and manages coherency between multiple nodes sharing a common block device. Performing minimal PCP setup to gather file system dataĬhapter 1. Planning a GFS2 file system deployment Complete listing of available metrics for GFS2 in PCPĩ.4. Checking file system operation latency using the kernel tracepoint based metricsĩ.3. Checking the number of glock structures that are in a wait stateĩ.2.4. Examining the number of glock structures that exist per file system by typeĩ.2.3. Examining the number of glock structures that currently exist per file systemĩ.2.2. Displaying information about the available performance metrics with the pminfo tool"ĩ.2.1. Displaying information about the available performance metrics with the pminfo tool"Ĭollapse section "9.2. Displaying information about the available performance metrics with the pminfo toolĮxpand section "9.2. Monitoring and analyzing GFS2 file systems using Performance Co-Pilot (PCP)"ĩ.2. Monitoring and analyzing GFS2 file systems using Performance Co-Pilot (PCP)"Ĭollapse section "9. Monitoring and analyzing GFS2 file systems using Performance Co-Pilot (PCP)Įxpand section "9. GFS2 tracepoints and the glock debugfs interface"ĩ. GFS2 tracepoints and the glock debugfs interface"Ĭollapse section "8. GFS2 tracepoints and the glock debugfs interfaceĮxpand section "8. Gathering GFS2 data for troubleshootingĨ. Space indicated as used in empty file systemħ.6. GFS2 file system does not mount on newly added cluster nodeħ.5. GFS2 file system hangs and requires reboot of all nodesħ.4. GFS2 file system hangs and requires reboot of one nodeħ.3. GFS2 file system unavailable to a node (the GFS2 withdraw function)ħ.2. Diagnosing and correcting problems with GFS2 file systems"ħ.1. Diagnosing and correcting problems with GFS2 file systems"Ĭollapse section "7. Diagnosing and correcting problems with GFS2 file systemsĮxpand section "7. Troubleshooting GFS2 performance with the GFS2 lock dumpħ. Improving GFS2 performance"Ĭollapse section "6. Determining required memory for running fsck.gfs2Įxpand section "6. GFS2 file system repair"Ĭollapse section "5. Synchronizing quotas with the quotasync CommandĮxpand section "5. Keeping GFS2 disk quotas accurate with the quotacheck commandĤ.4. Setting up quotas in enforcement or accounting modeĤ.3. Configuring GFS2 disk quotas"Ĭollapse section "4.1. GFS2 quota management"Įxpand section "4.1. GFS2 quota management"Ĭollapse section "4. Adding journals to a GFS2 file systemĮxpand section "4. Suspending activity on a GFS2 file systemģ.6. Mounting a GFS2 file system that specifies mount optionsģ.4. Mounting a GFS2 file system with no options specifiedģ.2.2. Mounting a GFS2 file system"Ĭollapse section "3.2. GFS2 file system creation"Įxpand section "3.2. GFS2 file system creation"Ĭollapse section "3.1. Administering GFS2 file systems"Įxpand section "3.1. Administering GFS2 file systems"Ĭollapse section "3. Have each node allocate its own files, if possibleĮxpand section "3. Leave free space in the file systemĢ.7.2. Configuring virtual machines for GFS2Ģ.7.1. Samba (SMB or Windows) file serving over GFS2Ģ.6. VFS tuning options: research and experimentĢ.5. Recommendations for GFS2 usage"Ĭollapse section "2. Considerations for GFS2 in a clusterĮxpand section "2. GFS2 support considerations"Ĭollapse section "1.2. Planning a GFS2 file system deployment"Įxpand section "1.2. Planning a GFS2 file system deployment"Ĭollapse section "1. Planning a GFS2 file system deploymentĮxpand section "1. Providing feedback on Red Hat documentationġ.
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It allows users to construct their Cmaps in their personal computer, share them on servers (CmapServers) anywhere on the Internet, link their Cmaps to other Cmaps on servers, automatically create web pages of their concept maps on servers, edit their maps synchronously (at the same time) with other users on the Internet, and search the web for information relevant to a concept map. conducted at the Florida Institute for Human & Machine Cognition (IHMC). IHMC CmapTools facilitates the manipulation of Concept Maps. Este Cmap, tiene informacin relacionada con: CmapTools - Home Page Cmap, Software Toolkit is composed of CmapServers, IHMC CmapTools facilitates the. Launch Wasm Multiple Threaded Launch Wasm Single Threaded Cmap CmapTools. IHMC CmapTools () program empowers users to construct, navigate, share and criticize knowledge models represented as concept maps. The IHMC CmapServer has information related to: IHMC, CmapTools, Concept Map, cmap, Concept Mapping, Knowledge Representation, knowledge model, knowledge elicitation, education, CmapServer. If you need help turning JavaScript On, click here. None of the links on this page will work until it is reactivated. Learn about the research project at IHMC that has developed and continues to enhance CmapTools. Site of the bi-annual concept mapping conferences. A Biomedical Engineering Design Course involves Fundamental Design Tools, Fundamental Design Tools includes Flowcharting, A Biomedical Engineering Design. IHMC Sample Knowledge Models Warning: JavaScript is turned OFF. The IHMC CmapTools software empowers users to construct, navigate, share and criticize knowledge models represented as concept maps. The title applications in the selected articles project the usefulness of extracting valuable knowledge leading to new hypotheses targeting deeper understanding and further investigation in DM. Concerning the type of data, clinical datasets were mainly used. Support vector machines (SVM) arise as the most successful and widely used algorithm. In general, 85% of those used were characterized by supervised learning approaches and 15% by unsupervised ones, and more specifically, association rules. A wide range of machine learning algorithms were employed. The aim of the present study is to conduct a systematic review of the applications of machine learning, data mining techniques and tools in the field of diabetes research with respect to a) Prediction and Diagnosis, b) Diabetic Complications, c) Genetic Background and Environment, and e) Health Care and Management with the first category appearing to be the most popular. Extensive research in all aspects of diabetes (diagnosis, etiopathophysiology, therapy, etc.) has led to the generation of huge amounts of data. Diabetes mellitus (DM) is defined as a group of metabolic disorders exerting significant pressure on human health worldwide. To this end, application of machine learning and data mining methods in biosciences is presently, more than ever before, vital and indispensable in efforts to transform intelligently all available information into valuable knowledge. The remarkable advances in biotechnology and health sciences have led to a significant production of data, such as high throughput genetic data and clinical information, generated from large Electronic Health Records (EHRs). Kavakiotis, Ioannis Tsave, Olga Salifoglou, Athanasios Maglaveras, Nicos Vlahavas, Ioannis Chouvarda, Ioanna Machine Learning and Data Mining Methods in Diabetes Research. PERFORMING.341.280.5500 pm I " Aw Sig rill Ia 2110-01 SECTION 1 INTRODUCTION 1.1 BACKGROUND Research in machine learning has taken two directions in the problem of FUNDING NUMBERS MACHINE LEARNING C - F19628-89-C-0001 PE - 62702F PR - MOlE S. To achieve this goal, learning methods were designed, implemented and experimented within several different problem solving environments.ĭTIC i.LE COPY RADC-TR-90-25 Final Technical Report April 1990 MACHINE LEARNING The MITRE Corporation Melissa P. Another major theme is the development of robust machine learning programs that can be integrated with a variety of intelligent systems. In particular, emphasis was placed on representing and using spatial information about three dimensional objects and constraints on the arrangement of these objects in space. The research focused on integrating different representation methods to describe different kinds of knowledge more effectively than any one method can alone. The major goal of the research was to develop flexible, effective methods for representing the qualitative knowledge necessary for solving large problems that require symbolic reasoning as well as numerical computation. Research in knowledge representation, machine learning, and knowledge acquisition performed at Knowledge Systems Lab. Research on knowledge representation, machine learning, and knowledge acquisition Eve) (07:11)Ĭhris Geka Tecca – Swindles (Ruben Zurita Remix) (07:12)Ĭlash vs Danceforce feat. 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It’s a neat touch, meaning you earn your solution. It’s also a puzzle within a puzzle, with its contents page offering a series of number based riddles that require answering before you know what page to consult. This book is huge, weighing in at hundreds of pages, but you can use it to find a solution to mostly anything. One other form of assistance comes from a manual that you’re given at the start of the game. On the plus side, you’re never overwhelmed by items, so you can generally figure out what you’re meant to be doing through a process of elimination. It’s sometimes tricky to tell what you can and can’t interact with, and the small screen of the iPhone further enhances this issue. Another time, you have to enter a room that’s a kind of giant camera, having you develop photos within, in order to fool a security camera.Īt times, the puzzles are less clear which isn’t helped by hotspot issues. An early puzzle has you placing lemons on a fuse board, connecting up the electrical current to get things working again. Those puzzles are reasonably interesting, at least. It works, but it feels more shallow and less exciting than it could. You then spend some time solving a puzzle to progress to the next section. You enter a new area, chat to some quirky characters, before finding your way forward blocked. Most of these puzzles serve to unlock the next area of the game, meaning you soon feel like you’re repeating yourself. Its many puzzles are offered up to you in a way that’s more like a Professor Layton game than a regular adventure. It’s immediately heartwarming, even if you do soon realise it’s all a facade.ĭespite initially seeming like a fairly typical adventure game, however, Lumino City soon feels more disjointed like that. At times, you see the action drawn around you, as you enter a new section. You’re given a camera to take in-game shots, and I found myself often hitting the button just to appreciate a great new look. Lumino City is a very linear tale, hardly requiring any backtracking, so make sure to take in the surroundings whenever possible. Just turning a corner to a new area feels spectacular as you watch the world turn with you, capturing a real sense of scale. Think of the stylings of something like LittleBigPlanet and you’re not far off. The world is made of cardboard, felt, wood, and all sorts of other delightfully tactile looking things. Her grandfather has gone missing (not unlike in Lume), so off she goes to figure out what happened. Such beauty means that you’ll forgive it a lot of the time though, just about.Īs before, you play a young girl called Lumi. In a similar vein, Lumino City is just as beautiful to look at, but offers some shallow puzzles in return. Remember Lume? Lume was a rather gorgeous adventure game that suffered due to some awkward puzzles. 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Quicker or easier paths to healing, like havening, may have benefit in some cases, but they don’t always work. Most mental health professionals agree that recovering from trauma and other emotional distress takes time and usually plenty of effort. To sum up, havening could certainly help you feel a little better, but it’s best to maintain realistic expectations. Havening didn’t seem to make a difference in the participants’ pain levels or their use of pain medication, either at the time of the study or when the researchers followed up a month later. However, the results of this study were less promising. These results seem promising, but the study’s limitations - including no control group, a small number of participants, and self-reporting - make it less than conclusive.Ī small, randomized controlled trial from 2018 explored havening’s potential usefulness as a pain management technique after surgery. These benefits seemed to persist as long as 2 months after the session. After one havening session, participants reported general improvement of their symptoms and work performance. One small 2015 study looked at 27 healthcare professionals who reported symptoms of depression or anxiety serious enough to affect their work. Keep in mind that havening is young in terms of mental health treatments - less than 20 years old - and research remains in the early stages. There’s no clear answer, since experts have yet to conduct the high-quality controlled trials needed to support havening’s effectiveness. Its creators believe this happens because havening disrupts the pathways in your brain that activate distressing memories.Īlong with helping ease the pain and trauma associated with these events, havening could make it more difficult for you to bring up those memories at all, according to the creators. If the technique works as intended, you might notice your emotional tension diminish right away. Havening doesn’t require any sort of hypnosis, so you’ll remain fully conscious and awake, helping direct the process. The aim is to repeat the process until your level of distress falls to 0 or 1, or remains stable after three repetitions of havening. They may use a phrase or mantra such as “release,” “let it go,” or “almost there,” or they might encourage you to take a few deep breaths. You’ll relax your arms and perform another series of eye movements as your provider strokes your arms or forehead a few more times.The process then repeats, though your provider may ask you to use a different visualization or song.At this point, they’ll ask you to assess your level of distress a second time.Your practitioner will ask you to hum a simple song, such as “Happy Birthday” or “Twinkle Twinkle Little Star.” As you hum, they’ll use gentle touch to stroke your forehead or arms - or, if you prefer not to be touched, you can perform this action yourself. You might, for example, be asked to look left, right, up, and down, then roll your eyes in a complete circle, first clockwise and then counterclockwise. With open eyes, you’ll cross your arms and then perform a series of eye movements.With each number counted, you’ll visualize taking one step or one item from the drawer. Your practitioner will ask you to imagine yourself doing some sort of visually oriented task, such as walking down stairs or removing items from a drawer. While continuing this action, y ou’ll close your eyes and count down from 20.You’ll next be instructed to rub your arms up and down.You’ll then be instructed to clear your thoughts or focus on something positive and calming. You might say “8 out of 10” or “high,” or describe your concern in one word, such as “scared” or “angry.” Your care provider will ask you to rate your current level of emotional distress.Interested in trying out the havening technique for yourself? 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After all, Audition provides you with a multitrack recording environment, with insanely detailed tools for audio manipulation and enhancement, and still to this day has one of the fastest workflows we’ve come across. Here’s the thing though Adobe Audition allows the user to do many of those same tasks, yet you’d struggle to find anyone who’d include it in a list of popular DAWs. From Ableton Live to Cubase, and from Pro Tools to Bitwig, each offers a broadly similar set of features allowing the recording, manipulation, editing and production of audio into a musical format. We’re all familiar with digital audio workstations ( DAWs).
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