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FishPi: a bioinformatic prediction tool to link piRNA and transposable elements.
Mob DNA
January 2025
School of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK.
Background: Piwi-interacting RNAs (piRNA)s are non-coding small RNAs that post-transcriptionally affect gene expression and regulation. Through complementary seed region binding with transposable elements (TEs), piRNAs protect the genome from transposition. A tool to link piRNAs with complementary TE targets will improve our understanding of the role of piRNAs in genome maintenance and gene regulation.
View Article and Find Full Text PDFReal-Time Neuropsychological Testing for Hydrocephalus: Ultra-Fast Neuropsychological Testing During Infusion and Tap Test in Patients with Idiopathic Normal-Pressure Hydrocephalus.
Brain Sci
January 2025
Scientific Institute, IRCCS E. Medea, Dipartimento/Unità Operativa Pasian di Prato, 33037 Pasian di Prato, Italy.
Background/objectives: Ventriculoperitoneal shunting is a validated procedure for the treatment of idiopathic normal-pressure hydrocephalus. To select shunt-responsive patients, infusion and tap tests can be used. Only gait is evaluated after the procedure to establish a potential improvement.
View Article and Find Full Text PDFEfficiency enhancement in main path extraction in mRNA vaccine field: A novel approach leveraging intermediate patents, with shielding origin and terminus patent edges.
Hum Vaccin Immunother
December 2025
Institute of Medical Information & Library, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
mRNA vaccines offer groundbreaking technological advantages and broad application potential. Their rapid advancement, particularly during the COVID-19 pandemic, is the result of decades of research and numerous technological breakthroughs. These discoveries build upon each other, forming dense, interconnected networks of progress.
View Article and Find Full Text PDFComparison between traditional logistic regression and machine learning for predicting mortality in adult sepsis patients.
Front Med (Lausanne)
January 2025
Hepatobiliary Pancreatic Surgery Department, Huadu District People's Hospital of Guangzhou, Guangzhou, China.
Background: Sepsis is a life-threatening disease associated with a high mortality rate, emphasizing the need for the exploration of novel models to predict the prognosis of this patient population. This study compared the performance of traditional logistic regression and machine learning models in predicting adult sepsis mortality.
Objective: To develop an optimum model for predicting the mortality of adult sepsis patients based on comparing traditional logistic regression and machine learning methodology.
The impact of sociodemographic, psychological, and quality of life factors on dual-task performance in elderly individuals: a cross-sectional study in Iraq.
Aging Ment Health
January 2025
Faculty of Health Sciences, Department of Occupational Therapy, Çankırı Karatekin University, Çankırı, Turkey.
Objective: This study aims to explore how sociodemographic, psychological, and quality of life factors impact dual-task performance among elderly individuals in Iraq.
Methods: This cross-sectional study included 384 healthy community-dwelling participants aged 60 years and over, recruited from Najaf, Iraq. Data were collected using the Depression Anxiety Stress Scales-21 (DASS-21), Mindful Attention Awareness Scale (MAAS), and the World Health Organization Quality of Life Brief Form (WHOQOL-BREF).
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