Background: With an estimated 80% of species remaining undescribed (but see Brewer et al. 2012), millipede taxonomy offers the opportunity to discover new species and explore biodiversity. The lack of basic alpha taxonomic information regarding millipedes belies their significant ecological role and potential as premier models in ecological and evolutionary studies. The group possesses many fascinating biological properties (e.g., bioluminescence, mimicry, and complex chemical secretions) that have been the focus of several recent studies and are emerging avenues of future investigation.

New Information: Here we summarize a methodology for large-bodied millipede collection, curation, and preservation for genetic analyses with the hope that sharing these techniques will stimulate interest in these charismatic detritivores.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4563156PMC
http://dx.doi.org/10.3897/BDJ.3.e5665DOI Listing

Publication Analysis

Top Keywords

general methodology
4
methodology collecting
4
collecting preserving
4
preserving xystodesmid
4
xystodesmid large
4
large millipedes
4
millipedes biodiversity
4
biodiversity background
4
background estimated
4
estimated 80%
4

Similar Publications

Musical pitch and timbre perception in stuttering children.

Int J Pediatr Otorhinolaryngol

January 2025

Department of Audiology, Ankara Medipol University Faculty of Health Sciences, Ankara, Turkey. Electronic address:

Objectives: This study aims to evaluate musical pitch and timbre perception in children who stutter and compare the results with typically developing children.

Methods: A total of 50 participants were included in the study, consisting of 25 children with stuttering (mean age = 10.06 years; range 6-17 years) and 25 typically developing children (mean age = 10.

View Article and Find Full Text PDF

Objective: Evaluate the accuracy and reliability of various generative artificial intelligence (AI) models (ChatGPT-3.5, ChatGPT-4.0, T5, Llama-2, Mistral-Large, and Claude-3 Opus) in predicting Emergency Severity Index (ESI) levels for pediatric emergency department patients and assess the impact of medically oriented fine-tuning.

View Article and Find Full Text PDF

Background: Preteen girls of lower socioeconomic position are at increased risk of physical inactivity. Parental support, particularly from mothers, is positively correlated with girls' physical activity levels. Consequently, family-based interventions are recognized as a promising approach to improve young people's physical activity.

View Article and Find Full Text PDF

Background: Machine learning models can reduce the burden on doctors by converting medical records into International Classification of Diseases (ICD) codes in real time, thereby enhancing the efficiency of diagnosis and treatment. However, it faces challenges such as small datasets, diverse writing styles, unstructured records, and the need for semimanual preprocessing. Existing approaches, such as naive Bayes, Word2Vec, and convolutional neural networks, have limitations in handling missing values and understanding the context of medical texts, leading to a high error rate.

View Article and Find Full Text PDF

Background: The increasing use of social media to share lived and living experiences of substance use presents a unique opportunity to obtain information on side effects, use patterns, and opinions on novel psychoactive substances. However, due to the large volume of data, obtaining useful insights through natural language processing technologies such as large language models is challenging.

Objective: This paper aims to develop a retrieval-augmented generation (RAG) architecture for medical question answering pertaining to clinicians' queries on emerging issues associated with health-related topics, using user-generated medical information on social media.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!