Lack of Black Physicians and Scientists.
In this study, the authors investigate the effect of phosphate functionalisation on the removal of uranyl ions from mine-drainage contaminated water.
Elsevier, Alzheimer’s Disease: Understanding Biomarkers, Big Data, and Therapy, Volume , 1 January 2021
In the next 30 years, Alzheimer’s disease cases are predicted to drastically increase. Consequently, there is a critical need for research that can counteract the increasing number of Alzheimer’s disease patients. However, current methods of Alzheimer’s disease research have significant limitations. For example, Alzheimer’s disease research is often restricted by resource, temporal, and recruitment barriers (e.g., participant dropout). Unlike standard research, big data analysis is excellent at investigating complex long-term phenomena such as Alzheimer’s disease.
Improving farming techniques and agricultural methods with advanced technology is becoming more crucial on our fast-evolving and ecologically challenged planet, where challenges such as energy deficiency, drought, global warming, etc., have adverse effects on common agricultural practices. This paper discusses how the hybridization of energy generation from renewable resources and the field of artificial intelligence can aid in optimizing and improving the current best practices followed by farmers. We propose the concept of harnessing natural and artificial wind energy, the turbulence produced by the displacement of air due to the motion of objects such as trains. This energy harnessed can then be used in powering Internet of Things devices that enable AI-based smart farmland monitoring systems. The aim is to solve the challenges facing common agricultural practices in suburban and rural areas where vertical axis wind turbines can be set up, ultimately easing the lives of agriculturalists.
The chapter provides an overview of the epidemiology, and the main etiological theories of co-occurring Alcohol Use Disorders (AUD) and Mental Health Disorders (MHD). It is hoped that this chapter can inform treatment and policies for this population.
This book chapter advances SDG3 Good Health and Wellbeing and SDG10 Reducing Inequalities by reviewing the steps needed to develop and implement a nutritional plan for patients with neurologic disorders.
This content aligns with Goal 3: Good Health and Wellbeing as well as Goal 10: Reducing Inequalities by using the statement "The negative impact of disability should have minimal effect on a person’s quality of life" to motivate research of a wearable headpiece and electronic mechanical wheelchair unit.
This content aligns with Goal 3: Good Health and Wellbeing as well as Goal 10: Reducing Inequalities by exploring the quality of online information on neurodevelopmental disorders, eating disorders, psychotic disorders, and mood and anxiety disorders.
Elsevier,
Biosignal Processing and Classification Using Computational Learning and Intelligence: Principles, Algorithms, and Applications, Volume , 1 January 2021
This content aligns with Goal 3: Good Health and Wellbeing as well as Goal 10: Reducing Inequalities by presenting EEG and machine learning approaches to the classification of attention deficit and hyperactivity disorders for the improvement of specificity, reducing over diagnosis and under diagnoses, thereby avoiding undesirable consequences in adulthood.
