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21 results for “online posts”
TDMentions: A Dataset of Technical Debt Mentions in Online Posts
<p># TDMentions: A Dataset of Technical Debt Mentions in Online Posts (version 1.0)</p> <p>TDMentions is a dataset that contains mentions of technical debt from Reddit, Hacker News, and Stack Exchange. It also contains a list of blog posts on Medium that were tagged as technical debt. The dataset currently contains approximately 35,000 items. </p> <p>## Data collection and processing</p> <p>The dataset is mainly collected from existing datasets. We used data from:</p> <p>- the archive of Reddit posts by Jason Baumgartner (available at [https://pushshift.io](https://pushshift.io), <br> - the archive of Hacker News available at Google's BigQuery (available at [https://console.cloud.google.com/marketplace/details/y-combinator/hacker-news](https://console.cloud.google.com/marketplace/details/y-combinator/hacker-news)), and the Stack Exchange data dump (available at [https://archive.org/details/stackexchange](https://archive.org/details/stackexchange)). <br> - the [GHTorrent](http://ghtorrent.org) project <br> - the [GH Archive](https://www.gharchive.org)</p> <p>The data set currently contains data from the start of each source/service until 2018-12-31. For GitHub, we currently only include data from 2015-01-01.</p> <p>We use the regular expression `tech(nical)?[\s\-_]*?debt` to find mentions in all sources except for Medium. We decided to limit our matches to variations of technical debt and tech debt. Other shorter forms, such as TD, can result in too many false positives. For Medium, we used the tag `technical-debt`. </p> <p>## Data Format</p> <p>The dataset is stored as a compressed (bzip2) JSON file with one JSON object per line. Each mention is represented as a JSON object with the following keys.</p> <p>- `id`: the id used in the original source. We use the URL path to identify Medium posts.<br> - `body`: the text that contains the mention. This is either the comment or the title of the post. For Medium posts this is the title and subtitle (which might not mention technical debt, since posts are identified by the tag).<br> - `created_utc`: the time the item was posted in seconds since epoch in UTC. <br> - `author`: the author of the item. We use the username or userid from the source.<br> - `source`: where the item was posted. Valid sources are:<br> - HackerNews Comment<br> - HackerNews Job<br> - HackerNews Submission<br> - Reddit Comment<br> - Reddit Submission<br> - StackExchange Answer<br> - StackExchange Comment<br> - StackExchange Question<br> - Medium Post<br> - `meta`: Additional information about the item specific to the source. This includes, e.g., the subreddit a Reddit submission or comment was posted to, the score, etc. We try to use the same names, e.g., `score` and `num_comments` for keys that have the same meaning/information across multiple sources.</p> <p>This is a sample item from Reddit:</p> <p>```JSON<br> {<br> "id": "ab8auf",<br> "body": "Technical Debt Explained (x-post r/Eve)",<br> "created_utc": 1546271789,<br> "author": "totally_100_human",<br> "source": "Reddit Submission",<br> "meta": {<br> "title": "Technical Debt Explained (x-post r/Eve)",<br> "score": 1,<br> "num_comments": 0,<br> "url": "http://jestertrek.com/eve/technical-debt-2.png",<br> "subreddit": "RCBRedditBot"<br> }<br> }<br> ```</p> <p>## Sample Analyses</p> <p>We decided to use JSON to store the data, since it is easy to work with from multiple programming languages. In the following examples, we use [`jq`](https://stedolan.github.io/jq/) to process the JSON.</p> <p>### How many items are there for each source?</p> <p>```<br> lbzip2 -cd postscomments.json.bz2 | jq '.source' | sort | uniq -c<br> ```</p> <p>### How many submissions that mentioned technical debt were posted each month?</p> <p>```<br> lbzip2 -cd postscomments.json.bz2 | jq 'select(.source == "Reddit Submission") | .created_utc | strftime("%Y-%m")' | sort | uniq -c<br> ```</p> <p>### What are the titles of items that link (`meta.url`) to PDF documents?</p> <p>```<br> lbzip2 -cd postscomments.json.bz2 | jq '. as $r | select(.meta.url?) | .meta.url | select(endswith(".pdf")) | $r.body'<br> ```</p> <p>### Please, I want CSV!</p> <p>```<br> lbzip2 -cd postscomments.json.bz2 | jq -r '[.id, .body, .author] | @csv'<br> ```</p> <p>Note that you need to specify the keys you want to include for the CSV, so it is easier to either ignore the meta information or process each source.</p> <p>Please see [https://github.com/sse-lnu/tdmentions](https://github.com/sse-lnu/tdmentions) for more analyses</p> <p># Limitations and Future updates</p> <p>The current version of the dataset lacks GitHub data and Medium comments. GitHub data will be added in the next update. Medium comments (responses) will be added in a future update if we find a good way to represent these.</p>
Dataset Literatur Review Online Business AND Post-Covid
<p>Data tersebut didapatkan dengan menggunakan website lens.org dengan memilih Scholarly Works dan pencariannya berbasis kata kunci/keyword “Online Business AND Post-Covid” dan akan memunculkan sejumlah data yang didalamnya berbentuk dokumen. Yang selanjutnya di filter sebanyak 2 kali yang mana fitur filter pertama yaitu pada bagian Document Type “Journal Article dan Conference Proceeding” setelahnya menggunakan fitur filter Subject Matter pada Subject “Law”. Pada setiap tahapan mulai awal hingga akhir semua data tersebut masing-masing di export dengan format CSV dan BIBTEX, dan diambil semua gambar yang muncul pada menu analisys di lens.org pada tahap terakhir.</p>
Dataset Literatur Review Online Business AND Post-Covid
<p>Data tersebut didapatkan dengan menggunakan website lens.org dengan memilih Scholarly Works dan pencariannya berbasis kata kunci/keyword “Online Business AND Post-Covid” dan akan memunculkan sejumlah data yang didalamnya berbentuk dokumen. Yang selanjutnya di filter sebanyak 2 kali yang mana fitur filter pertama yaitu pada bagian Document Type “Journal Article dan Conference Proceeding” setelahnya menggunakan fitur filter Subject Matter pada Subject “Law”. Pada setiap tahapan mulai awal hingga akhir semua data tersebut masing-masing di export dengan format CSV dan BIBTEX, dan diambil semua gambar yang muncul pada menu analisys di lens.org pada tahap terakhir. Kemudian semua data yang sudah terkumpul akan digunakan untuk membuat penelitian sesuai dengan Literature Review dengan kata kunci Online Business AND Post-Covid</p>
Food Safety and Online Food Delivery Apps Post Covid-19
<p>The data collection method that will be used will be questionnaires that will be made available online and written in Indonesian. Questionnaires were distributed during the post outbreak of COVID-19</p>
Comparison of Clinical Performance and Hemocompatibility of Dialyzers Applied During Post-dilution Online Hemodiafiltration
ClinicalTrials.gov study NCT04714281. IPD Sharing: NO. Countries: 3. Publications: 1.
Comparative Safety and Clinical Performance of Dialyzers Applied During Post-dilution Online Hemodiafiltration
ClinicalTrials.gov study NCT03611218. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Profiling of Post Covid-19 Infection Patients: an Online Survey
ClinicalTrials.gov study NCT04912778. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Can High Convection Volumes be Achieved in Each Patient During Online Post-dilution Hemodiafiltration?
ClinicalTrials.gov study NCT01877499. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Data from: Optimizing mouse surgery with online rectal temperature monitoring and preoperative heat supply. Effects on post-ischemic acute kidney injury.
Body temperature affects outcomes of tissue injury. We hypothesized that online body core temperature recording and selective interventions help to standardize peri-interventional temperature control and the reliability of outcomes in experimental renal ischemia reperfusion injury (IRI). We recorded core temperature in up to seven mice in parallel using a Thermes USB recorder and ret-3-iso rectal probes with three different protocols. Setup A: Heating pad during ischemia time; Setup B: Heating pad from incision to wound closure; Setup C: A ventilated heating chamber before surgery and during ischemia time with surgeries performed on a heating pad. Temperature profile recording displayed significant declines upon installing anesthesia. The profile of the baseline experimental setup A revealed that <1 % of the temperature readings were within the target range of 36.5 to 38.5 °C. Setup B and C increased the target range readings to 34.6 ± 28.0 % and 99.3 ± 1.5 %, respectively. Setup C significantly increased S3 tubular necrosis, neutrophil influx, and mRNA expression of kidney injury markers. In addition, using setup C different ischemia times generated a linear correlation with acute tubular necrosis parameters at a low variability, which further correlated with the degree of kidney atrophy 5 weeks after surgery. Changing temperature control setup A to C was equivalent to 10 minutes more ischemia time. We conclude that body temperature drops quickly in mice upon initiating anesthesia. Immediate heat supply, e.g. in a ventilated heating chamber, and online core temperature monitoring can help to standardize and optimize experimental outcomes.
Online and Shared Decision-Making Interventions to Engage Service Men and Women in Post-Deployment Mental Health Care
ClinicalTrials.gov study NCT03539068. IPD Sharing: NO. Countries: 1. Publications: 0.
StriveWeekly Online Mental Health Trial Post-pandemic
ClinicalTrials.gov study NCT04927845. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Online Ultrasound Curriculum on Learning Outcomes of Post-graduate Physicians
ClinicalTrials.gov study NCT06950346. IPD Sharing: UNDECIDED. Countries: 0. Publications: 3.
An Integrated Online Program Using Psychoeducation and Expressive Writing for People With Probable Post-traumatic Stress Disorder and Coexisting Dissociative Symptoms
ClinicalTrials.gov study NCT06523023. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Optimizing mouse surgery with online rectal temperature monitoring and preoperative heat supply. Effects on post-ischemic acute kidney injury.
Open the record for dataset details and reuse information.
Pilot Trial of an Online Physical Activity Intervention for Peri- and Post-menopausal Working Women
ClinicalTrials.gov study NCT06821841. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Building Better Caregivers Online: An Online Workshop for Caregivers of Those With Traumatic Brain Injury, Post Traumatic Stress Disorder, or Alzheimer's or Other Dementia
ClinicalTrials.gov study NCT00799786. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Complementary and Integrative Medicine as an Online Intervention in Patients With Post-covid Syndrome After COVID-19
ClinicalTrials.gov study NCT06004362. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
An Online Post-Adoption Family Intervention Using Trust-Based Relational Intervention (TBRI) to Improve Understanding, Well-Being, and Connection in Adoptive Families
ClinicalTrials.gov study NCT04443504. IPD Sharing: NO. Countries: 1. Publications: 0.
Post Discharge Online Telerehabilitation Program
ClinicalTrials.gov study NCT03480620. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Effect Of Online Breastfeeding Counseling Given At The Post-Birth Period On Breastfeeding Behavior
ClinicalTrials.gov study NCT05322434. IPD Sharing: NO. Countries: 0. Publications: 0.
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