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1,365 results for “Needs”
Drosophila Cbp80 is needed for the expression of piRNA components and piRNAs
GEO Series GSE89003. Drosophila melanogaster. 2 samples. Type: Expression profiling by high throughput sequencing.
Powell-Wiley: The Washington DC Cardiovascular Health and Needs Assessment
GEO Series GSE241763. Homo sapiens. 60 samples. Type: Methylation profiling by genome tiling array.
C. elegans display antipathy behavior towards food after contemporaneous integration of nutritional needs and dietary lipid availability. [neuronal]
GEO Series GSE272302. Caenorhabditis elegans. 6 samples. Type: Expression profiling by high throughput sequencing.
Gene body H2B1ub regulates RNA Polymerase II pause release and is not needed for transcription elongation
GEO Series GSE69738. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing; Other; Genome binding/occupancy profiling by high throughput sequencing.
C. elegans display antipathy behavior towards food after contemporaneous integration of nutritional needs and dietary lipid availability. [whole animal]
GEO Series GSE272301. Caenorhabditis elegans. 16 samples. Type: Expression profiling by high throughput sequencing.
Computational Skills Students Need to Hit the Ground Running
<p>Data from survey of computational physics researchers about which skills students need to know to get started in computational research versus skills they can learn along the way. </p> <p>Possible responses for each skill are:<br> Ideally, students have prior experience with these;<br> Students learn these in natural course of research with me;<br> Students get focused training on these;<br> This skill is unnecessary for my work;</p> <p>Full list of skills:<br> Algorithmic thinking skills [Converting a problem to a step-by-step procedure amenable to coding]<br> Basic coding skills and knowledge [Programming in some language at "hello, world!" level]<br> Basic coding skills and knowledge [Calculation/visualization environment (e.g. Mathematica, Jupyter notebook, Matlab)]<br> Basic coding skills and knowledge [ Numerical arithmetic (e.g. machine precision, data types)]<br> Basic coding skills and knowledge [Flow control (loops, conditionals, etc.)]<br> Basic coding skills and knowledge [Scoping rules particular to a programming language]<br> Basic coding skills and knowledge [Selecting and manipulating data structures]<br> Software engineering [Whiteboarding]<br> Software engineering [Pseudocoding & diagramming ]<br> Software engineering [Software lifecycle best practices (design-code-implement-validate-utilize-archive)]<br> Software engineering [Keeping a TODO list]<br> Software engineering [Documenting code and keeping documentation current]<br> Software engineering [camelType and other strong typing]<br> Software engineering [Interfacing homegrown code with external libraries]<br> Software engineering [Object oriented design principles]<br> Software engineering [Fluency in an object oriented language]<br> Software engineering [Parsing/understanding legacy or inherited code]<br> Software engineering [Extending functionality of existing code]<br> Software engineering [Version control]<br> Software engineering [Creating modular, well-structured code easily passed on to other students]<br> Software engineering [Using an IDE]<br> Scientific project and data management [Keeping a lab notebook or electronic log]<br> Scientific project and data management [In situ documentation (README files, etc)]<br> Scientific project and data management [Recording input parameters when codes are run in production mode]<br> Scientific project and data management [Recording version of code used to produce any set of data]<br> Scientific project and data management [Naming conventions of output files]<br> Scientific project and data management [Backing up and knowing how to restore data/codes]<br> Scientific project and data management [Sharing code effectively with others]<br> Scientific project and data management [Proactive communication of results and issues]<br> Scientific project and data management [Collaborative mindset]<br> Fundamental scientific computing skills [Running an executable code one is given]<br> Fundamental scientific computing skills [Asking people for help with running or writing code]<br> Fundamental scientific computing skills [Reading code documentation]<br> Fundamental scientific computing skills [Googling to answer coding questions]<br> Fundamental scientific computing skills [Locating existing code and libraries on web-based servers]<br> Fundamental scientific computing skills [Terminal / unix shell programming]<br> Fundamental scientific computing skills [Unix shell scripting]<br> Fundamental scientific computing skills [Accessing and utilizing remote platforms (ssh, scp, etc.)]<br> Fundamental scientific computing skills [Submitting jobs to a queue]<br> Fundamental scientific computing skills [Using a terminal-based text editor]<br> Fundamental scientific computing skills [Compiling and making]<br> Fundamental scientific computing skills [Reading formatted data]<br> Fundamental scientific computing skills [Writing formatted data]<br> Fundamental scientific computing skills [Understanding compile-time and runtime errors]<br> Fundamental scientific computing skills [Visualizing line data (plots)]<br> Fundamental scientific computing skills [Visualizing image data (2D)]<br> Fundamental scientific computing skills [Visualizing volumetric data (3D)]<br> Fundamental scientific computing skills [Creating animations]<br> More advanced computational skills [High performance computing]<br> More advanced computational skills [Profiling code and optimizing execution]<br> More advanced computational skills [Specialized hardware (GPUs, etc)]<br> More advanced computational skills [Using a debugging environment]</p>
Quantitative and Biological survey of sexual health needs of female sex workers reached by two NGOs in Côte d'Ivoire (ANRS 12361 PrEP-CI)
<p><strong>Study setting</strong></p> <p>The ANRS 12361 PrEP-CI cross-sectional study was designed and implemented with two Ivorian community-based organizations between September 2016 and March 2017. Aprosam works within the city of San Pedro and in the surrounding areas, particularly in villages close to farming businesses (coffee and cocoa exploitation). Espace Confiance operates in several districts of Abidjan, the economic capital of Côte d’Ivoire (Koumassi, Marcory, Treichville, Zone 4 and Port-Bouët with its beaches). Both of these nongovernmental organizations (NGOs) deliver HIV prevention and testing services directly at prostitution sites (outreach activities) and provide HIV and SRH care services through a community clinic, for FSWs.</p> <p><strong>Survey</strong></p> <p>From October 2016 to January 2017, a convenient sample of 1000 FSWs completed a 45-item standardized paper questionnaire that assessed their sociodemographic characteristics (age, nationality, level of education, number of children), their sexual practices and behaviors (duration and location of sex work, usual price of sexual intercourses, condom use with clients and regular partners, assault/coerced sexual intercourse), their knowledge and use of community health services (medical consultations, hepatitis B immunization, declared STIs, sex work during menstruations, use and knowledge of contraception, undesired pregnancies, abortion), <em>a priori</em> acceptability of a PrEP (pre-exposure prophylaxis) offer (perception of the risk to contract HIV, knowledge of any medicine (traditional or modern) to prevent HIV infection, interest in a modern medicine for HIV prevention, acceptance of a medical follow-up every three months), HIV infection (HIV testing, knowledge of HIV status of the regular partner).</p> <p>The purpose of the quantitative study was not to be representative of all FSWs in Côte d’Ivoire but rather to represent FSWs who could be reached by the two partner NGOs and who could potentially benefit from PrEP in a future program. Therefore, the eligibility criteria for the quantitative survey included being 18 years or older, working at a prostitution site at the time of the survey, and never being tested for HIV or previously testing HIV-negative, as we performed a test to determine how many women were exposed to HIV and not diagnosed. FSWs visiting community clinics of the two NGOs for an HIV test were also included.</p> <p>Recruitment of participants for this study was made possible by the Aprosam and Espace Confiance organizations’ networks of peer educators and their access to the population. Peer educators enrolled FSWs who met eligibility criteria and agreed to participate, after reading an information sheet and signing a consent form. They carried out data collection in dedicated health centres and prostitution sites during face-to-face interviews.</p> <p><strong>HIV screening and laboratory analysis </strong></p> <p>HIV screening was carried out by two rapid tests (Determine®, Alere and Vikia®, bioMérieux) at the sex work sites. In the event of a positive result, HIV infection was confirmed by a rapid test (stat-pack®). Then, a dried blood spot (DBS) sample was taken and transported to the laboratory of the University Hospital of Tours, France, to determine the window of infection and false positive rate using a recent infection test adapted to the Ivorian context and performed directly on plasma. This recent infection test made it possible to classify HIV infections into two groups: HIV infections contracted less than 6 months prior and those contracted more than 6 months prior.</p> <p>During the study, FSW diagnosed with HIV infection were referred to community clinics by peer educators for ART.</p> <p><strong>Ethical considerations</strong></p> <p>Research authorizations were obtained from the National Committee of Research Ethics within the Ivorian Ministry of Health and Public Hygiene (reference number: 057/MSHP/CNER-kp, delivered on June 28, 2016). Confidentiality was maintained, and data were anonymized. Informed consent was obtained by the investigator before each interview or questionnaire.</p>
Dataset related to article "Telerehabilitation and Wellbeing Experience in Children with Special Needs during the COVID-19 Pandemic "
<p>Raw data of all variables analyzed in the study: groups, type of telerehabilitation, gravity, age, gender, demographic and socio-economic background, grade, type of technological device, engagement scale, Comprehensive Inventory of Thriving.</p>
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<u>Source</u>: Flickr <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1656262187.4341.jpg">https://4dcity.org/imgupload/1656262187.4341.jpg</a> <br>
Artifact for "Are LLMs all we need in code comparison tasks?"
<p>This is the artifact for paper "Are LLMs all we need in code comparison tasks?"</p> <p>It includes all the datasets and results.</p>
Fig. 2 in Distributional modeling of Mantophasmatodea (Insecta: Notoptera): a preliminary application and the need for future sampling
Fig. 2 Summed distribution maps for the potential distribution of all modeled genera in this study
A Systematic Review of LET-guided Treatment Plan Optimisation in Proton Therapy: Identifying the current state and future needs
<p>Data extraction materials, TikZ and Python code for Figures 1 and 3, respectively, for the paper "A Systematic Review of LET-guided Treatment Plan Optimisation in Proton Therapy: Identifying the current state and future needs" published in Cancers, 2023.</p>
Dataset and Code for the Research Paper: "A Smile is All You Need: Predicting Limiting Activity Coefficients from SMILES with Natural Language Processing."
<p><strong>Dataset and Code for the Research Paper: "A Smile is All You Need: Predicting Limiting Activity Coefficients from SMILES with Natural Language Processing."</strong></p> <p>For detailed instructions on how to utilize the resources, please refer to the <code>README.md</code> and see the original publication: https://doi.org/10.1039/D2DD00058J</p>
Alternative splicing detection workflow needs a careful combination of sample prep and bioinformatics analysis
GEO Series GSE58001. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Hepatic Lcmr1 activates the transcription of G6pc and is needed for gluconeogenesis
GEO Series GSE272627. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Translation switch from initiation to elongation needs Not4 and Not5 collaboration
GEO Series GSE137613. Saccharomyces cerevisiae. 6 samples. Type: Expression profiling by high throughput sequencing.
Dataset related to article "A 'Multiomic' Approach of Saliva Metabolomics, Microbiota, and Serum Biomarkers to Assess the Need of Hospitalization in COVID-19"
<p>*These authors contributed equally to the work<sup> #</sup>Corresponding author</p> <p>This record contains raw data related to article “A ‘Multiomic’ Approach of Saliva Metabolomics, Microbiota, and Serum Biomarkers to Assess the Need of Hospitalization in COVID-19"</p> <p>Abstract:</p> <p>The SARS-CoV-2 pandemic has overwhelmed the treatment capacity of the healthcare systems during the highest viral diffusion rate. Patients reaching the emergency department had to be either hospitalized or discharged. Still, the decision was taken based on the individual assessment of the actual clinical condition, without specific biomarkers to predict future improvement or deterioration. Often discharged patients returned to the hospital for aggravation of their condition. Here we have developed a new combined approach of omics to identify factors that could distinguish COVID-19 inpatients from outpatients. We tested the metabolome in the saliva and identified nine metabolites that separated the inpatient from the outpatient population, but not completely. When combined with serum biomarkers, just two salivary metabolites (myo-inositol and 2-pyrollidine acetic acid) and one serum protein, Chitinase 3-like-1(CHI3L1) were sufficient to separate the two groups completely. These metabolites positively or negatively correlated with four modulated microbiota taxa. This is a proof-of-concept that a combined omic analysis can be used to stratify patients.</p>
Case Management Practices to Solve Problems and Fulfill Clients Needs at Bogor Correctional Hall
<p>The correctional system in Indonesia aims to expedite an integration process between correctional citizens and societies. It is a must that correctional clients have prepared well enough so they can adapt to the social life with the knowledge and ability that they got from correctional programs. Correctional guides play an important role to make sure some of the correctional system goals succeeded such as assisting the client and preparing them to understand what might be right to do after their sentences are done. One of the practices, that correctional guides must do is case management which they become case managers for many clients. These practices are done to ensure their ability to solve problems and fulfill clients’ needs. The researchers used the qualitative method by interviewing correctional guides and clients in order to receive thorough information about the condition of works at Bogor Correctional Hall. Researchers also gather information from official reports, news media, and other literacy as secondary data. The findings are that correctional guides implement case management practices and play an important role as an advocate to solve clients’ problems. On the other hand, correctional guides find there are also obstacles. To summarize the research, correctional guides have implemented case management practices to solve problems and fulfill clients’ needs.</p>
Artifact: Are LLMs all we need in code comparison tasks?
<p>The datasets and results for paper "Are LLMs all we need in code comparison tasks?"</p>
Cross-cultural adaptation and validation of a surgical neonatal nursing workload tool to the Italian context: The Italian Win-nipeg Surgical Complex Assessment of Neonatal Nursing Needs Tool
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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.