Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.4414/smw.2010.12831 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Continuous Polarizability-Based Separation of Lithium Iron Phosphate and Graphite Using a Dielectrophoretic Particle Separator.
Langmuir
January 2025
College of Chemistry and Chemical Engineering, Qingdao University, Qingdao 266071, China.
The recovery of valuable materials from spent lithium-ion batteries (LIBs) has experienced increasing demand in recent years. Current recycling technologies are typically energy-intensive and are often plagued by high operation costs, low processing efficiency, and environmental pollution concerns. In this study, an efficient and environmentally friendly dielectrophoresis (DEP)-based approach is proposed to separate the main components of "black mass" mixtures from LIBs, specifically lithium iron phosphate (LFP) and graphite, based on their polarizability differences.
View Article and Find Full Text PDFKnockout of a testis-specific gene cluster impairs male fertility in the fall armyworm, Spodoptera frugiperda.
Pest Manag Sci
January 2025
Key Laboratory of Plant Protection Resources and Pest Management of the Ministry of Education, Key Laboratory of Integrated Pest Management on the Loess Plateau of Ministry of Agriculture and Rural Affairs, College of Plant Protection, Northwest A&F University, Yangling, China.
Background: The function of some testis-specific genes (TSGs) in model insects have been studied, but their function in non-model insects remains largely unexplored. In the present study, we identified several TSGs in the fall armyworm (FAW), a significant agricultural pest, through comparative transcriptomic analysis. A testis-specific gene cluster (TSGC) comprising multiple functional genes and long non-coding RNAs was found.
View Article and Find Full Text PDFReports of Echolalia and Related Behaviors in Autism From Parents, Teachers, and Clinicians: Evidence From the Simon Simplex Collection.
Autism Res
January 2025
Department of Allied Health Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Echolalia, the immediate or delayed repetition of speech, is a core diagnostic criterion for autism spectrum disorder. It has been studied for over 50 years and is well-described; however, no consensus on prevalence estimates exists for echolalia's occurrence in autistic youth. The current study sought to (1) describe endorsement of echolalia-related items using parent-, teacher-, and clinician-reports in a well-validated sample of autistic youth and (2) characterize relations between echolalia and other key factors, including age, language ability, and repetitive behaviors.
View Article and Find Full Text PDFAI predictive models and advancements in microdissection testicular sperm extraction for non-obstructive azoospermia: a systematic scoping review.
Hum Reprod Open
November 2024
Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Study Question: How accurately can artificial intelligence (AI) models predict sperm retrieval in non-obstructive azoospermia (NOA) patients undergoing micro-testicular sperm extraction (m-TESE) surgery?
Summary Answer: AI predictive models hold significant promise in predicting successful sperm retrieval in NOA patients undergoing m-TESE, although limitations regarding variability of study designs, small sample sizes, and a lack of validation studies restrict the overall generalizability of studies in this area.
What Is Known Already: Previous studies have explored various predictors of successful sperm retrieval in m-TESE, including clinical and hormonal factors. However, no consistent predictive model has yet been established.
Detection of neurologic changes in critically ill infants using deep learning on video data: a retrospective single center cohort study.
EClinicalMedicine
December 2024
Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Background: Infant alertness and neurologic changes can reflect life-threatening pathology but are assessed by physical exam, which can be intermittent and subjective. Reliable, continuous methods are needed. We hypothesized that our computer vision method to track movement, pose artificial intelligence (AI), could predict neurologic changes in the neonatal intensive care unit (NICU).
View Article and Find Full Text PDFWant 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!