Subject:
All Disciplines Arts & Humanities Biology & Life Sciences Business & Economics Chemistry & Materials Science Computer Science & Mathematics Engineering Environmental & Earth Sciences Medicine & Pharmacology Physical Sciences Public Health & Healthcare Social Sciences
Sort:
Hottest Latest Alphabetical (A-Z) Alphabetical (Z-A)
Type:
All Topic Review Biography
Topic Review
CRC and Gut Microbiota
The gut microbiota plays an important role in maintaining homeostasis in the human body, and the disruption of these communities can lead to compromised host health and the onset of disease.
  • 553
  • 23 Jun 2021
Topic Review
Physical Activity and Dementia
Physical activity (PA) has emerged as an alternative nonpharmacological approach to effectively address the effects of dementia. This is mainly because regular PA improves the strength of cells and tissues to respond to oxidative stress, vascularization, and energy metabolism and also allows neurotropic effects through neurotrophic factor (BDNF) concentrations, which contribute to brain plasticity, memory improvement, neurogenesis, and synaptic plasticity [15]. These processes attenuate for the loss of brain tissue while the brain is ageing [14]. 
  • 552
  • 24 Aug 2021
Topic Review
Climatic and Environmental Factors in Disease Modeling
Climatic and environmental factors may influence the arbovirus disease outbreak, transmission, and surveillance. Thus, there is a call for further research on the area. To benefit from arbovirus modeling, it is crucial to consider the influence of climatic and environmental factors, especially in Africa, where there are limited studies exploring this phenomenon.
  • 552
  • 06 Dec 2022
Topic Review
Vaginal Infections and Treatment
Vaginal infections are a global public health issue affecting worldwide up to 70% of women of reproductive age. The symptoms or clinical manifestations are itching, irritation, abnormal vaginal discharge, and discomfort when urinating and during sexual activity.
  • 552
  • 26 Mar 2024
Topic Review
Resistance Training on Blood Pressure
The aim was to systematically review and meta-analyze the current evidence for the effects of resistance training (RT) on blood pressure (BP) as the main outcome and body mass index (BMI) in children and adolescents. Limited evidence suggests that RT has no adverse effects on BP and may positively affect BP in youths. More high-quality studies are needed to clarify the association between RT and BP in light of body composition changes throughout childhood and adolescence. 
  • 551
  • 24 Nov 2020
Topic Review
Higher Blood Pressure & Neurodegeneration
High Blood Pressure (Hypertension) is a major risk factor for cerebral health. Midlife hypertension is associated with a two- to five-fold increased risk of stroke, and up to 50% greater risk of developing vascular dementia. Moreover, hypertension is also linked to the development of amyloid angiopathy, the progression of white matter lesions (WMLs), and neurodegeneration. This recent meta-analysis demonstrates that higher blood pressure, even within the normal range, is associated with a reduction in global and regional brain volumes.
  • 550
  • 06 Mar 2021
Topic Review
Sanitation Workers in African cities
Sanitation workers provide an essential public service that is key to achieving the Sustainable Development Goals (SDG), but often costs them their dignity and health. Many governments in low- and middle-income countries fail to support their sanitation workforce. This is due, in part, to a lack of knowledge about sanitation workers’ needs and the challenges they face. 
  • 551
  • 06 Dec 2022
Topic Review
AI/Big Data in Healthcare
Multimorbidity refers to the coexistence of two or more chronic diseases in one person. Therefore, patients with multimorbidity have multiple and special care needs. However, in practice it is difficult to meet these needs because the organizational processes of current healthcare systems tend to be tailored to a single disease. To improve clinical decision making and patient care in multimorbidity, a radical change in the problem-solving approach to medical research and treatment is needed. In addition to the traditional reductionist approach, we propose interactive research supported by artificial intelligence (AI) and advanced big data analytics. Such research approach, when applied to data routinely collected in healthcare settings, provides an integrated platform for research tasks related to multimorbidity. This may include, for example, prediction, correlation, and classification problems based on multiple interaction factors. However, to realize the idea of this paradigm shift in multimorbidity research, the optimization, standardization, and most importantly, the integration of electronic health data into a common national and international research infrastructure is needed. Ultimately, there is a need for the integration and implementation of efficient AI approaches, particularly deep learning, into clinical routine directly within the workflows of the medical professionals.
  • 549
  • 14 Sep 2021
Topic Review
Cytokines as Selected Biomarkers of Depression
Depression is one of the leading mental illnesses worldwide and lowers the quality of life of many. According to WHO, about 5% of the worldwide population suffers from depression. Studies report a staggering global prevalence of 27.6%, and it is rising. Professionally, depression belonging to affective disorders is a psychiatric illness, and the category of major depressive disorder (MDD) comprises various diagnoses related to persistent and disruptive mood disorders. Due to this fact, it is imperative to find a way to assess depression quantitatively using a specific biomarker or a panel of biomarkers that would be able to reflect the patients’ state and the effects of therapy. Cytokines, hormones, oxidative stress markers, and neuropeptides are studied in association with depression. 
  • 549
  • 31 Jan 2023
Topic Review
Smart Sensing Chair for Sitting Posture Monitoring
Smart sensing chairs, equipped with advanced sensor technologies such as Force Sensing Resistors (FSRs), show significant potential in mitigating the negative health impacts of incorrect sitting postures, which can lead to spinal misalignment and musculoskeletal disorders. Research emphasizes the use of sophisticated machine learning techniques, including Convolutional Neural Networks (CNNs) and Artificial Neural Networks (ANNs), for classifying sitting postures. Notably, these advanced models do not always outperform traditional models due to the limitations of the training datasets, which often lack sufficient diversity in representing different human body types and health conditions. This finding underscores the critical need for datasets that more accurately reflect the demographic and physiological diversity of users. Additionally, this research highlights a significant opportunity for innovation in user feedback mechanisms within smart sensing chairs, suggesting that enhanced interactive features could improve posture correction efforts and overall user health outcomes.
  • 554
  • 13 May 2024
  • Page
  • of
  • 183
Featured Entry Collections
>>

Featured Books

>>
Encyclopedia of Social Sciences
Encyclopedia of COVID-19
Encyclopedia of Fungi
Encyclopedia of Digital Society, Industry 5.0 and Smart City
ScholarVision Creations
Feedback