Academic Articles & Research Papers

Publisher Correction: Endophenotype effect sizes support variant pathogenicity in monogenic disease susceptibility genes

Antibacterial and antioxidant effects of Punicalagin extracts from Punica granatum peels

The growing recognition of the health-promoting potential of compounds derived from natural sources, particularly those exhibiting antimicrobial and antioxidant activities, has resulted in a surge of research publications dedicated to explo...

Maternal dietary fiber intake during pregnancy and child development: the Japan Environment and Children's Study

BackgroundAnimal studies have shown that maternal low-fiber diets during pregnancy may impair brain development and function in offspring, but this has not been validated by epidemiological studies. The aim of this study was to investigate ...

A Sea Ice Entrapment Event in the Southern Chukchi Sea: Analysis and Prediction

Abstract Amplified Arctic warming is reducing sea ice cover, which is driving an increase in geopolitical interest in the region as it offers the possibility of reducing shipping times between Asia, Europe, and eastern North America, at the...

Geospatial for Good: Empowering Citizens for Sustainable Urban and Rural Futures

Geospatial technologies are rapidly emerging as pivotal tools for advancing sustainable urban and rural development through citizen empowerment in India and worldwide. This study systematically reviews peer-reviewed and grey literature to e...

Water conservation in arid and semi-arid basins exhibits a nonlinear effect on water quality improvement

Study region: The Weihe River Basin (WRB), a typical arid and semi-arid basin in China. Study focus: Water conservation regulates hydrological processes and pollutant transport, yet the response mechanisms of water quality to water conserva...

Housekeeping gene expression variability in differentiating and non-differentiating 3T3-L1 cells

ABSTRACTNormalization is a crucial step in gene expression analysis to avoid misinterpretation. Reverse transcription-quantitative polymerase chain reaction was used to measure the expression of 10 candidate housekeeping genes in non-differ...

The Role of Mast Cells and Their Potential as a Therapeutic Target For Neuroinflammation

Sarah Adriana Scuderi,1 Rossella Basilotta,2 Laura Cucinotta,2 Alessio Ardizzone,3 Emanuela Esposito21Genetics and Pharmacogenetics Unit, ‘Gaetano Martino’ University Hospital, Messina, Italy; 2Department of Chemical, Biological, Pharmaceut...

Improving Muscle Function Through a Multimodal Behavioural Intervention for Knee Osteoarthritis and Obesity: The POMELO Trial

ABSTRACT Background Treatments aimed at improving physical function and body composition, including reducing fat mass (FM) and increasing muscle mass, may benefit individuals with advanced knee osteoarthritis (OA) and obesity. We investigat...

Artificial intelligence in clinical medicine: a state-of-the-art overview of systematic reviews with methodological recommendations for improved reporting

Medicine has become increasingly receptive to the use of artificial intelligence (AI). This overview of systematic reviews (SRs) aims to categorise current evidence about it and identify the current methodological state of the art in the fi...

Assessing perception and equity of cultural ecosystem services in urban parks using social media data

Abstract Scientific assessment of cultural ecosystem services (CESs) levels in urban parks and refined analysis of their spatial equity are essential for residents’ social well-being. However, traditional assessment methods often fail to ca...

Exhaust Emissions from Gasoline Vehicles with Different Fuel Detergency and the Prediction Model Using Deep Learning

Enhancing gasoline detergency is pivotal for enhancing fuel efficiency and mitigating exhaust emissions in gasoline vehicles. This study investigated gasoline vehicle emission characteristics with different gasoline detergency, explored syn...

Machine Learning Methods in the Environmental Sciences

Machine learning methods originated from artificial intelligence and are now used in various fields in environmental sciences today. This is the first single-authored textbook providing a unified treatment of machine learning methods and th...

Portable NIR Spectroscopy Combined with Machine Learning for Kiwi Ripeness Classification: An Approach to Precision Farming

This study aims to evaluate and classify the ripening stages of yellow-fleshed kiwifruit by integrating spectral and physicochemical data collected from the pre-harvest phase through 60 days of storage. A portable near-infrared (NIR) spectr...

Global patterns of gully occurrence and their sensitivity to environmental changes

Gully formation is a significant driver of soil erosion and land degradation worldwide and often leads to important downstream impacts. Nonetheless, our understanding of the global patterns and the factors controlling this process remains l...

Evaluating new technology for biodiversity monitoring: Are drone surveys biased?

Abstract Drones and machine learning‐based automated detection methods are being used by ecologists to conduct wildlife surveys with increasing frequency. When traditional survey methods have been evaluated, a range of factors have been fou...