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759 results for “addiction”
Working With HIV Clinics to Adopt Addiction Treatments Using Implementation Facilitation
ClinicalTrials.gov study NCT02907944. IPD Sharing: NO. Countries: 1. Publications: 4.
Investigation of Cocaine Addiction Using mGluR5 PET and fMRI
ClinicalTrials.gov study NCT03471182. IPD Sharing: YES. Countries: 1. Publications: 1.
Contingency Management Treatment for Crack Addiction - Study With Brazilian Population
ClinicalTrials.gov study NCT01815645. IPD Sharing: NO. Countries: 1. Publications: 3.
The Effect of Art-Based Nursing Intervention Helping to Develop Healthy Digital Habits on Digital Addiction, Cyberbullying and Self-Efficacy in Adolescents
ClinicalTrials.gov study NCT07123194. IPD Sharing: NO. Countries: 0. Publications: 9.
A Pragmatic Trial of the Consult for Addiction Treatment and Care in Hospitals (CATCH) Model for Engaging Patients in Opioid Use Disorder Treatment
ClinicalTrials.gov study NCT03611335. IPD Sharing: NO. Countries: 1. Publications: 3.
Prescription Opioid Addiction Treatment Study (POATS)
ClinicalTrials.gov study NCT00316277. IPD Sharing: Not stated. Countries: 1. Publications: 13.
Addiction Treatment in Russia: Oral vs. Naltrexone Implant
ClinicalTrials.gov study NCT00218426. IPD Sharing: Not stated. Countries: 2. Publications: 2.
Imaging Synaptic Density in Cocaine and Opiate Addiction In Vivo Using 11UCB-J PET
ClinicalTrials.gov study NCT03527485. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Imaging the Neurochemistry of Drug Addiction With PET
ClinicalTrials.gov study NCT02817698. IPD Sharing: NO. Countries: 1. Publications: 1.
Addiction and Behavior Related to Menthol Cigarette Substitutes
ClinicalTrials.gov study NCT04844762. IPD Sharing: NO. Countries: 1. Publications: 1.
Cross-sectional study of Facebook addiction in a sample of Nepalese population
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Data from: Neural responses to kills/deaths in real MOBA games are associated with addiction-related traits and subjective pleasant/unpleasant experiences
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Utilizing Social Media for Identifying Drug Addiction and Recovery Intervention
<p>This dataset is for the paper "Utilizing Social Media for Identifying Drug Addiction and Recovery Intervention" published in Data Analytics for Smart Health (DASH) workshop (<a href="https://sites.google.com/view/ieee-dash-2020">https://sites.google.com/view/ieee-dash-2020</a>) co-located with the IEEE BigData 2020 conference.</p> <p><strong>Overview of the Paper</strong></p> <p>Topic-specific social media forums such as Reddit have become popular platforms for users discussing health-related information as well as for scientific analysis of that information. Such discussions among users have been found to be effective in providing useful insights and assistance in many healthcare applications. This study focuses on one such application, where we utilize Reddit posts related to drug addiction/substance abuse, in order to help the addicted persons. We observe some linguistic differences in the posts as users gradually move from the addicted stage to more and more advanced recovery stages. We then classify user-posts on Reddit as to be indicative of drug addiction or of different stages of recovery of the user. By annotating Reddit posts with the help of standard social and health psychology literature, we develop a Machine Learning classifier based on linguistic features, to classify the posts among different classes related to addiction and recovery. Finally, we identify users having an intention to recover and perform a personalized mentor recommendation by referring them to users who are already in their advanced stage of recovery based on the usage of drugs. To our knowledge, this work is the first attempt to utilize social media for helping addicted users having the intention to recover with personalized mentor recommendations to facilitate their process of recovery.</p> <p><strong>Overview of the dataset </strong></p> <p>The dataset contains posts from drug addiction-related Subreddits which are topic-specific communities within the Reddit OSM (Online Social Media). We considered 100 distinct Subreddits related to drug addiction and recovery, which are listed in the Wiki page of the Subreddit `Drugs' (<a href="https://www.reddit.com/r/Drugs/wiki/subreddits">https://www.reddit.com/r/Drugs/wiki/subreddits</a>). We annotated 3151 posts out of all the posts collected as one of the 5 classes: 'Addicted', ' E(early)-Recovery', ' M(maintaining)-Recovery', ' A(advanced)-Recovery', 'Others'. </p> <p>The dataset has the following 8 fields, </p> <p>* id: A unique identifier for each post<br> * username: The username for each post<br> * title: Each post is associated with a title<br> * body: The main descriptive part of the post is identified by its 'body'<br> * #comments: This field represents the number of comments the post has received<br> * score: This field represents the number of upvotes received by each post<br> * label_classification: The label given to a post for the classification task (one of the 5 classes stated above)<br> * label_recommendation: The label given to a post for the recommendation task where the 'Addicted' class of classification task was further divided into 'Addicted with intention to recover', and 'Addicted without intention to recover'</p> <p>Note that the dataset has been anonymized by replacing all personally identifiable information (PII) such as usernames, email-ids, phone numbers, SSNs, etc. by using the tool available at <a href="https://github.com/mns-llc/bitsnarf">https://github.com/mns-llc/bitsnarf</a> as well as using some standard dictionary-based methods.</p> <p> </p>
FIGURE 6 in Mammalian Diversity In The Savanna From Peru, With Three New Addictions From Country
FIGURE 6: Range-abundance curves (pi) for small mammals from Pampas del Heath. Codes of each species are denoted in Table 1. Trophic group: Insectivorous (full triangles), Frugivorous (circles), Herbivorous (empty circles), Carnivorous (stars), Omnivorous (empty triangles), Nectarivorous (diamonds) and Granivorous species (squares).
FIGURE 5 in Mammalian Diversity In The Savanna From Peru, With Three New Addictions From Country
FIGURE 5: Species accumulation curves for each vegetation types evaluated. Empirical curves (upper left) and Clench models (the rest).
FIGURE 3 in Mammalian Diversity In The Savanna From Peru, With Three New Addictions From Country
FIGURE 3: Some species registered in Pampas del Heath from Peru: (A) Lutreolina crassicaudata˅; (B) Cryptonanus unduaviensis*; (C) Rhogeessa hussoni*; (D) Eumops patagonicus*; (E) Cavia aperea*; and (F) Chrysocyonbrachyurus* (Photos by K. Pino˅ and A. Pari*).
FIGURE 2 in Mammalian Diversity In The Savanna From Peru, With Three New Addictions From Country
FIGURE 2: Panoramic views of the Pampas del Heath from Peru (top) with patches of forests (middle) and palms (bottom).
FIGURE 1 in Mammalian Diversity In The Savanna From Peru, With Three New Addictions From Country
FIGURE 1: Location of Pampas del Heath from Peru: (1) Aguas Claras Camp; (2) Cocha Paujil; and (3) Refugio Juliaca. The gray area represents the Savanna (from Josse et al., 2007).
FIGURE 4 in Mammalian Diversity In The Savanna From Peru, With Three New Addictions From Country
FIGURE 4: Left to right, dorsal, ventral and lateral views of cranium and mandible. (A) Cryptonanus unduaviensis MUSA 12695; (B) Rhogeessa hussoni MUSA 12902; and (C) and Rhogeessa io MUSA 12903. Scale bar equal to 10 mm.
The prenatal hypoxic pathology associated with maternal stress predisposes to dysregulated expression of the chrna7 gene and the subsequent development of nicotine addiction in adult offspring (Supplementary)
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.