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ShareScore release 0.9.0
Dataset results
782 results for “Conflict”
The Effect of Reproductive Violence Education Given to Women on Perception of Violence, Conflict Resolution Styles and Awareness of Violence: A Randomized Controlled Trial
ClinicalTrials.gov study NCT06951529. IPD Sharing: YES. Countries: 0. Publications: 0.
Putting Children First - Parent Training for Parents in High Conflict
ClinicalTrials.gov study NCT06809153. IPD Sharing: YES. Countries: 0. Publications: 0.
How Does STN-DBS Influence Emotional Conflict Decision in Parkinson's Disease: a EEG Study
ClinicalTrials.gov study NCT02786680. IPD Sharing: NO. Countries: 0. Publications: 0.
From Conflict to Family Trauma
ClinicalTrials.gov study NCT07134322. IPD Sharing: NO. Countries: 0. Publications: 0.
Transcription-Replication conflicts are linked to histone H3K79 methylation and R-loop dependent nucleosome eviction [BrdUseq]
GEO Series GSE267494. Homo sapiens. 20 samples. Type: Other.
Targeting transcription-replication conflicts is an effective therapeutic principle for MYCN-driven neuroblastoma [ChIP-seq_SHEP]
GEO Series GSE152478. Homo sapiens. 18 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Antagonistic conflict between transposon-encoded introns and guide RNAs (RNA-Seq)
GEO Series GSE261343. Escherichia coli; Clostridium senegalense. 4 samples. Type: Expression profiling by high throughput sequencing.
CDK12 prevents MYC-induced transcription-replication conflicts [RNA-seq]
GEO Series GSE236545. Homo sapiens. 14 samples. Type: Expression profiling by high throughput sequencing.
Targeting transcription-replication conflicts is an effective therapeutic principle for MYCN-driven neuroblastoma [ChIP-seq GB]
GEO Series GSE144283. Homo sapiens. 15 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
The MYCN oncoprotein resolves conflicts of stalling RNA Polymerase with the replication fork
GEO Series GSE164569. Homo sapiens. 122 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing; Other; Non-coding RNA profiling by high throughput sequencing.
Qualitative Event-based Diagnosis with Possible Conflicts Applied to Spacecraft Power Distribution Systems
Model-based diagnosis enables efficient and safe operation of engineered systems. In this paper, we describe two algorithms based on a qualitative event-based fault isolation framework augmented with model-based fault identification that are applied to spacecraft power distribution systems. Although based on a common framework, the fundamental difference between the two algorithms is that one uses a global model for residual generation, fault isolation, and fault identification; whereas the other uses a set of minimal submodels computed using Possible Conflicts. We describe the implementation of the two algorithms and compare their diagnosis results on a representative spacecraft power distribution system.
Qualitative Event-based Diagnosis with Possible Conflicts: Case Study on the Third International Diagnostic Competition
We describe two model-based diagnosis algo- rithms entered into the Third International Diag- nostic Competition. We focus on the first diag- nostic problem of the industrial track of the com- petition in which a diagnosis algorithm must de- tect, isolate, and identify faults in an electrical power distribution testbed in order to provide cor- rect abort recommendations. Both diagnosis al- gorithms are based on a qualitative event-based fault isolation framework augmented with model- based fault identification. Although based on a common framework, the fundamental difference between the two algorithms is that one is based on a global model for residual generation, fault iso- lation, and fault identification, whereas the other uses a set of minimal submodels computed using Possible Conflicts. We describe, compare, and contrast the two algorithms in terms of practical implementation and their diagnosis results.
Improving Multiple Fault Diagnosability using Possible Conflicts
Multiple fault diagnosis is a difficult problem for dynamic systems. Due to fault masking, compensation, and relative time of fault occurrence, multiple faults can manifest in many different ways as observable fault signature sequences. This decreases diagnosability of multiple faults, and therefore leads to a loss in effectiveness of the fault isolation step. We develop a qualitative, event-based, multiple fault isolation framework, and derive several notions of multiple fault diagnosability. We show that using Possible Conflicts, a model decomposition technique that decouples faults from residuals, we can significantly improve the diagnosability of multiple faults compared to an approach using a single global model. We demonstrate these concepts and provide results using a multi-tank system as a case study.
Improving Multiple Fault Diagnosability using Possible Conflicts
Multiple fault diagnosis is a difficult problem for dynamic systems. Due to fault masking, compensation, and relative time of fault occurrence, multiple faults can manifest in many different ways as observable fault signature sequences. This decreases diagnosability of multiple faults, and therefore leads to a loss in effectiveness of the fault isolation step. We develop a qualitative, event-based, multiple fault isolation framework, and derive several notions of multiple fault diagnosability. We show that using Possible Conflicts, a model decomposition technique that decouples faults from residuals, we can significantly improve the diagnosability of multiple faults compared to an approach using a single global model. We demonstrate these concepts and provide results using a multi-tank system as a case study.
Transcription-Replication Conflict Resolution by Nuclear RNA Interference [RNA-seq]
GEO Series GSE278839. Schizosaccharomyces pombe. 8 samples. Type: Expression profiling by high throughput sequencing.
Enhancing transcription replication conflict targets ecDNA positive cancers [GRO-seq]
GEO Series GSE249653. Homo sapiens. 8 samples. Type: Other.
ABL Kinase Inactivation Promotes Transcription-Replication Conflicts and Compromises Replication Forks Revealing a Therapeutic Vulnerability in Metastatic Small Cell Lung Cancer
GEO Series GSE289452. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Transcription-Replication Conflict Resolution by Nuclear RNA Interference
GEO Series GSE278850. Schizosaccharomyces pombe. 150 samples. Type: Other; Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
Tissue specific transcription patterns support the kinship theory of intragenomic conflict in honey bees (Apis mellifera)
GEO Series GSE155984. Apis mellifera. 24 samples. Type: Expression profiling by high throughput sequencing.
Testosterone differentially affects expression in the hypothalamus and the ventromedial telencephalon (VmT) of Juncos; Potential for sexual conflict assessed via testosterone-mediated transcriptional
GEO Series GSE41076. Junco hyemalis. 48 samples. Type: Expression profiling by array.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.