Cot editor

Author: c | 2025-04-25

EditCoT works by generating a chain-of-thought (CoT) for a given input and then iteratively refining this CoT process using a CoT editor based on updated knowledge. In response to these limitations, we propose EditCoT, a novel knowledge editing framework that flexibly and efficiently updates LLMs across various tasks without retraining. EditCoT works by generating a chain-of-thought (CoT) for a given input and then iteratively refining this CoT process using a CoT editor based on updated knowledge.

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NewsFeb 25, 20252 minsDevelopment Libraries and FrameworksRustWeb Development ‘Batteries-included’ web framework inspired by Django is still in early development and not ready for production use. Web developers looking for an easier time with the Rust language may want to check out Cot, an emerging web framework pitched as being for “lazy developers.”While still in early stages of development and not ready for production use, Cot promises to combine an “easy-to-use” API modeled after the Django web framework and a built-in ORM (object-relational mapper) for database interaction. Other features of Cot include type safety, an admin panel, and safeguards against common web vulnerabilities designed to make apps “secure by default.” Developers can try out Cot by running the command cargo install cot-cli && cot new.“Cot was born out of frustration — the kind that every Rust developer feels when searching for a batteries-included, Django-like web framework that just handles the basics for you,” Cot co-developer Mateusz Mackowski wrote in a February 18 blog post. “While Rust is a really mature language, the web ecosystem is still sort of lacking. Let’s change that.” Mackowski describes himself as an open-source contributor in the Rust ecosystem. He and Marek Grzelak, a hobbyist Rust developer, are partnering in the development of Cot. While noting there are many web libraries for Rust, such as axum, Rocket, and Actix, Mackowski said that most are very low-level and pretty rough even for the basics. “Cot tries to fill in this gap and tries to create a web framework for lazy developers.” Early releases of Cot can be found on GitHub. Cot currently is ready for community involvement, said Mackowski. Developers interested in participating can reach out via the project’s Discord server.

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Cot command-line toolThe cot command-line tool allows you to control CotEditor from the command-line.InstallationThe cot command is bundled in CotEditor.app. So, run the following line on your Terminal.app to create a symlink to the cot command.$ ln -s /Applications/CotEditor.app/Contents/SharedSupport/bin/cot /usr/local/bin/cotYou may need to modify paths in this command depending on where you've installed CotEditor/cot.UsageRun cot with --help to learn how to use it.$ cot --helpusage: cot [-h] [-v] [-w] [-g] [-r] [-n] [-s SYNTAX] [-l LINE] [-c COLUMN] [FILE ...]command-line utility for CotEditor.positional arguments: FILE path to file to openoptional arguments: -h, --help show this help message and exit -v, --version show program's version number and exit -w, --wait wait for opened file to be closed -g, --background do not bring the application to the foreground -r, --readonly open the document as read-only -n, --new create a new blank document -s SYNTAX, --syntax SYNTAX set specific syntax to opened document -l LINE, --line LINE jump to specific line in opened document -c COLUMN, --column COLUMN jump to specific column in opened document

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Group were 13 (7–17) and 14 (9–16), respectively [22]. In the study by Fernandez and coworkers, the APACHE II scores in the COT group and HFNC group were 21 ± 8.2 and 21 ± 8.8, respectively [23]. In the study by Tiruvoipati and coworkers, the APACHE III scores were reported, and the scores in the protocol A group and protocol B group were 70.55 ± 27.39 and 72.95 ± 23.22, respectively [25]. Three of the included studies reported the Simplified Acute Physiology Score (SAPS) II. In the study by Maggiore and colleagues, the SAPS II scores in the COT group and HFNC group were 44 ± 16 and 43 ± 14, respectively [12]. In the crossover study by Rittayamai and coworkers, the SAPS II score was 30.9 ± 4.4 [13]. In the crossover study by Di mussi and colleagues, the SAPS II score was 39.6 ± 13.2, and the Sequential Organ Failure Assessment (SOFA) score was 5.6 ± 2.5 [26]. In the study by Parke and coworkers, the EuroSCORE was reported, and the scores in the COT group and HFNC group were 5.3 ± 2.8 and 5.1 ± 2.8, respectively [17]. In the study by Futier and colleagues, the preoperative risk score was reported; few patients in both groups (15% patients in the COT group and 17% patients in the HFNC group) were at high-risk levels, and the main patients in both groups were at moderate levels [27]. According to the severity scores of populations, we stratified the included studies into a severe subgroup (APACHE II ≥ 15, SAPS II ≥ 38, SOFA ≥ 2) and non-severe subgroup (APACHE II 37, 38]. However, we found no interactions between subgroups with regard to postextubation respiratory failure (Pinteraction = 0.42), reintubation (Pinteraction = 0.36), respiratory rate (Pinteraction = 0.39), and PaO2 (Pinteraction = 0.92), which meant that the severity of patients would not influence the effect of HFNC with regard to postextubation respiratory failure, reintubation, respiratory rate, and PaO2.Although a lower postextubation respiratory failure would be expected to decrease reintubation rate and shorten the length of ICU and hospital stays, no differences. EditCoT works by generating a chain-of-thought (CoT) for a given input and then iteratively refining this CoT process using a CoT editor based on updated knowledge. In response to these limitations, we propose EditCoT, a novel knowledge editing framework that flexibly and efficiently updates LLMs across various tasks without retraining. EditCoT works by generating a chain-of-thought (CoT) for a given input and then iteratively refining this CoT process using a CoT editor based on updated knowledge.

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Um I'm not sure where prod80 is getting their information, but I can promise you CoT is highly incompatible with some ENBs! I know this from personal experience, I fought with getting an ENB to work with CoT for quite some time! CoT is not an ENB itself, but it changes the lighting and visual appearance of the game in a way that is unlike most mods, and sense pretty much all ENBs are made with the vanilla lighting scheme in mind, it can create real problems if combined with advanced ENBs, sense they will often over darken areas CoT darkens, and when the game tries to display these areas, the image will be so dark it inverts color, you'll get bright, almost metallic white areas in shadows, and especially when absorbing dragon souls or reading words of powers. That's just one issue, I also had moons shining like the sun, amongst a few other smaller glitches. It took me a while to find an ENB that works well with CoT that was visually noticeable enough to be worth the effort, I would suggest the one I use, but at the moment I'm using a highly modified combo of two ENBs.If an ENB doesn't work with it, trying using ENB Customizer to turn settings on and off until it does work. If you can't get it to work, just try another ENB. CoT is very sensitive to changes made to the sky, and global lighting, so that would probably be the best place to start tweaking. Also, I've had problems with color correction/adaption as well.My personal suggestion is use an ENB designed for CoT, I believe CoT actually has a list of compatible ENBs in the description! ^_^ Imaginator is also a great alternative to ENBs, if you just want brighter colors, or for things to have more 'pop', Dynavision adds in Depth of Field without the need for an ENB, if that's what you are after!And of coarse, making sure your load order is probably sorted with BOSS should be your first priority. ENBs do not have ESPs, so this doesn't matter as much, but it's possible the error you are having is coming from JUST CoT. It would really help if you were more specific about what the error is, and when exactly it started happening, in addition to what other mods you have installed...

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With regard to study type (RCT study SMD, − 1.12 [95% CI, − 1.45, − 0.79] vs. Crossover study, − 0.35 [95% CI, − 0.75, 0.04], Pinteraction = 0.004), HFNC duration (HFNC ≥ 24 h SMD, − 1.12 [95% CI, − 1.45, − 0.79] vs. HFNC Pinteraction = 0.004), hypercapnic or not (non-hypercapnic SMD, − 0.16 [95% CI, − 0.59,0.26] vs. mixed subgroup SMD, − 1.07 [95% CI, − 1.37, − 0.77], Pinteraction = 0.007) in respiratory rate (Table 3).Fig. 3Comparison of PaO2 between the HFNC group and COT groupFull size imageFig. 4Comparison of respiratory rates between the HFNC group and COT group=Full size imageThere were no significant differences in reintubation rate, length of ICU and hospital stay, comfort score, PaCO2, and mortality in ICU and hospital between HFNC and COT group (Additional file 1: Figure S8-S14) .Severe adverse eventsAmong the included studies, no severe adverse effects were reported in both groups.Visual inspection of the funnel plot did not show any publication bias (Additional file 1: Figure S15–S24). Summary of findings with GRADE system are shown in Table 4.Table 4 Summary of findingsFull size tableDiscussionThis systematic review and meta-analysis, including 1708 planned patients (HFNC group: 856 patients; COT group: 852 patients), demonstrated that compared with COT, HFNC might significantly reduce postextubation respiratory failure (RR, 0.61; 95% CI, 0.41, 0.92; z = 2.38; P = 0.02) and respiratory rates (SMD, − 0.70; 95% CI, − 1.16, − 0.25; z = 3.02; P = 0.002) and increase PaO2 (SMD, 0.30; 95% CI, 0.04, 0.56; z = 2.23; P = 0.03). There were no significant differences in reintubation rate, length of ICU and hospital stay, comfort score, PaCO2, mortality in ICU and hospital, and severe adverse events between the HFNC and COT group.The present systematic review and meta-analysis demonstrated a biologically plausible association between HFNC therapy and decreased postextubation respiratory failure in planned extubation patients. Previous animal and human mechanistic studies have demonstrated that HFNC enables to deliver more adequate inspiratory flow, flush the nasopharyngeal dead space, and deliver warm and humidified gas, thereby generating a positive airway pressure, ameliorating oxygenation and dyspnea,

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It easy to handle and easy to pick up and carry. Where can I get spare parts for my product? Spare parts are available from selected retailers. To find a store near you, simply go to the store locator on our website. What accessories can I use with this stroller? The following accessories can be used with the Melio/Melio Carbon: Melio Cot, Melio Cot Rain Cover, Melio Seat Unit, Rain Cover, Car Seat Adapters, Footmuff, Snogga 2 compact footmuff, Summer Seat Liner, Cup Holder. Usage Can I carry my newborn baby in this stroller? Yes, the stroller can be reclined to an ergonomic lie-flat position, which allows newborn babies to lie down comfortably. For extra comfort our Newborn Nest is available and can be easily installed. Or you can attach a cot to carry your newborn baby for their first six months. Can I use this stroller as a travel system? Yes, this stroller is travel system ready. You can attach a cot, an infant car seat or a seat unit to the stroller frame. Functionality Is this stroller suitable for hot weather? This stroller has a Supreme XXL sun canopy with UPF50+ protection, and a mesh backrest and canopy window providing ventilation. For extra comfort our Summer Seat Liner is available: it can be easily installed in all CYBEX strollers. What is a one-pull harness? This is a brand new feature for CYBEX strollers. Rather than tightening the harness straps individually, which can be time consuming, the one-pull harness can be tightened simply by pulling a strap at the base of the seat with one hand. This makes getting your child onboard quick and easy, and also helps you find the perfect form-hugging fit for your child’s comfort and safety.. EditCoT works by generating a chain-of-thought (CoT) for a given input and then iteratively refining this CoT process using a CoT editor based on updated knowledge. In response to these limitations, we propose EditCoT, a novel knowledge editing framework that flexibly and efficiently updates LLMs across various tasks without retraining. EditCoT works by generating a chain-of-thought (CoT) for a given input and then iteratively refining this CoT process using a CoT editor based on updated knowledge.