Integrating Ecofeminism Into Canadian Nursing to Tackle Climate Change and Health Issues. [PDF]
Tremblay É, Harrisson S.
europepmc +1 more source
INVERSE DOMINATION NUMBER OF JUMP GRAPH [PDF]
M. Karthikeyan, Aarthi Elumalai
openalex +1 more source
CNS Mitochondria‐Derived Vesicle in Blood: Potential Biomarkers for Brain Mitochondria Dysfunction
ABSTRACT Objective Mitochondrial dysfunction is a hallmark of neurodegenerative diseases like Alzheimer's (AD) and Parkinson's (PD). Our goal was to develop practical, noninvasive methods to assess mitochondrial status through the detection of mitochondria‐derived vesicles (MDVs).
Qi Liu+12 more
wiley +1 more source
Computation of domination degree-based topological indices using python and QSPR analysis of physicochemical and ADMET properties for heart disease drugs. [PDF]
Kuriachan G, Parthiban A.
europepmc +1 more source
Complementary Perfect Domination Number of Regular Graphs
Vipin Kumar+2 more
openalex +1 more source
Compound Heterozygous MRPS14 Variants Associated With Leigh Syndrome
ABSTRACT MRPS14 (uS14m) is a nuclear‐encoded ribosomal protein important for mitochondria‐specific translation. To date, only a single individual with a recessive MRPS14‐related disorder (also known as COXPD38) has been reported. We report an additional subject possessing novel compound heterozygous MRPS14 variants (p.Asp37Asn, p.Asn60Asp). The subject
Maria Gabriela Otero+15 more
wiley +1 more source
Associations Between Peer Victimization and Aggression and Three Types of Domestic Violence in Adolescents with Attention-Deficit/Hyperactivity Disorder. [PDF]
Lin PC, Tsai CS, Hsiao RC, Yen CF.
europepmc +1 more source
Characterization of Circular-Arc Overlap Graphs with Domination Number Two
A. Sudhakaraiah, V. Raghava Lakshmi
openalex +1 more source
The Average Lower 2-Domination Number of Wheels Related Graphs and an Algorithm [PDF]
Tufan Turacı
openalex +1 more source
Precision‐Optimised Post‐Stroke Prognoses
ABSTRACT Background Current medicine cannot confidently predict who will recover from post‐stroke impairments. Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known.
Thomas M. H. Hope+4 more
wiley +1 more source