Spotted around the web: Visual impairments; metabolomics; diagnosing girls
Bibliographic record
Abstract
Research roundupAutistic youth make up 11.5 percent of all the adolescents admitted to two psychiatric facilities in Canada, where 1.5 percent of the general population is autistic. Journal of Autism and Developmental DisordersAutistic and non-autistic children show similar visual-gaze responses to facial expressions of emotions when the emotion strength increases over time, but they respond differently when strong emotions are presented early in a sequence.Autism Research Rats prenatally exposed to valproic acid, a model of autism, have altered microbiota and lower levels of short-chain fatty acids in their gastrointestinal tract compared with control rats, and associated changes in brain neurotransmitters.Frontiers in Physiology Autistic people often have severe visual impairment for which early interventions can be helpful. Journal of Public Health ResearchThe Depression Anxiety Stress Scales-21 outperforms the Center for Epidemiological Studies Depression Scale-Revised in assessing symptoms of mood disorders in autistic people. Journal of Autism and Developmental DisordersEarly interventions in children with autism or at an elevated likelihood of the condition have limited impact on neurodevelopmental outcomes, according to a review of clinical studies. Autism ResearchA phospholipid imbalance during mid-pregnancy and dysregulation of many more metabolites at birth may serve as biomarkers for autism, according to a metabolomic analysis of blood.Molecular Psychiatry Mice missing the autism-linked gene CSMD3 display altered sociability, repetitive behaviors and motor problems, as well as changes in the form and function of cerebellar Purkinje cells.Journal of Neuroscience Autistic girls, like non-autistic girls, use more words and speak more quickly than their male peers.Molecular Autism Autistic young people with genetic variants strongly linked to the condition tend to have Spectrum | Autism Research News https://www.spectrumnews.orgmore sensory issues than those without identified genetic contributors. Journal of Autism and Neurodevelopmental DisordersGut-brain axis: Bacterial species in the gut, and their short-chain fatty acid metabolites, appear to affect brain neurotransmitter levels in an animal model of autism. Science and societyThe authors of a 2017 journal article that claimed brain imaging in combination with machine learning could predict suicidality have retracted the study.The lead author, Marcel Adam Just, co-wrote a Spectrum opinion piece on imaging brain connectivity in autism in 2013.Retraction Watch Early-career autism researchers may find opportunities by shifting their focus to align with the autism community's stated needs, writes Diana Weiting Tan in a commentary.Autism in Adulthood Genetic testing should be offered more widely, as genetic diagnoses can help families of children with neurodevelopmental conditions seek better treatment and find community, writes a physician parent of a child with a CACNA1A-related disorder.STAT More girls are being diagnosed with autism than in the past, but so are more womenleading some to wonder how many girls are still being missed.The New York Times Rutgers University faculty unions, which include adjunct faculty and graduate students, are striking after year-long negotiations over salaries.NJ.com
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".