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Topic Review
Long COVID-19
“Long COVID-19” refers to the existence of symptoms weeks or months after contracting the SARS-CoV-2 infection, regardless of the viral state. The long COVID-19 or post COVID-19 condition is defined as the illness that arises in patients who have a history of suspected or confirmed SARS-CoV-2 infection, usually within three months of the commencement of COVID-19, with symptoms and consequences lasting at least two months.
  • 402
  • 19 Dec 2022
Topic Review
Dietary Assessment Tools for Preschool-Aged Children
Preschool-aged children in the U.S. have suboptimal diets. Interventions to improve child nutrition focus on parents and their role in shaping social and physical home environments, which influence children’s eating behaviors. Dietary assessment tools selected to measure intervention objectives, and how results are interpreted in key findings, are essential when examining children’s diets. Dietary assessment tools can be used to capture habitual or acute dietary intake as well as a variety of dietary outputs—foods and food groups consumed (e.g., fruits and vegetables), energy (calories), macronutrients (carbohydrates, fats and protein), micronutrients (vitamins and minerals), and dietary scores or quality indices (e.g., diet diversity, Healthy Eating Index).
  • 735
  • 16 Dec 2022
Topic Review
Electroencephalogram Control Strategies
Electroencephalography (EEG) is the most often-used brain signal in brain-machine interface applications. EEG measures brain activity electric signals generated by currents created by neurons within the brain. Several factors contribute to this popularity compared to other brain wave measurement methods. EEG signals are non-invasive, low cost, compatible, portable, and have a high temporal resolution. This explains why EEG is the most widely used tool to measure brain activity. Furthermore, it is reasonably priced and has an excellent temporal resolution (1 ms).
  • 416
  • 16 Dec 2022
Topic Review
Wastewater Fecal Pollution Management
Global water scarcity has led to significant dependence on reclaimed or recycled water for potable uses. Effluents arising from human and animal gut microbiomes highly influence water quality. Wastewater pollution is, therefore, frequently monitored using bacterial indicators (BI).
  • 758
  • 16 Dec 2022
Topic Review
COVID-19 Diseases in Lipid Metabolism Pregnancy Women
Coronavirus disease (COVID-19) is an infectious disease caused by SARS-CoV-2. Elderly people, people with immunodeficiency, autoimmune and malignant diseases, as well as people with chronic diseases have a higher risk of developing more severe forms of the disease. Pregnant women and children can becomesick, although more often they are only the carriers of the virus. Studies have indicated that infants can also be infected by SARS-CoV-2 and develop a severe form of the disease with a fatal outcome. Acute Respiratory Distress Syndrome (ARDS) ina pregnant woman can affect the supply of oxygen to the fetus and initiate the mechanism of metabolic disorders of the fetus and newborn caused by asphyxia. The initial metabolic response of the newborn to the lack of oxygen in the tissues is the activation of anaerobic glycolysis in the tissues and an increase in the concentration of lactate and ketones. Lipid peroxidation, especially in nerve cells, is catalyzed by iron released from hemoglobin, transferrin and ferritin, whose release is induced by tissue acidosis and free oxygen radicals. Ferroptosis-inducing factors can directly or indirectly affect glutathione peroxidase through various pathways, resulting in a decrease in the antioxidant capacity and accumulation of lipid reactive oxygen species (ROS) in the cells, ultimately leading to oxidative cell stress, and finally, death.
  • 401
  • 15 Dec 2022
Topic Review
Functional Foods to Ameliorate Neurogenic Muscle Atrophy
Neurogenic muscle atrophy is a debilitating condition that occurs from nerve trauma in association with diseases or during aging, leading to reduced interaction between motoneurons and skeletal fibers. Therapeutic approaches aiming at preserving muscle mass in a scenario of decreased nervous input include physical activity and employment of drugs that slow down the progression of the condition yet provide no concrete resolution. Nutritional support appears as a precious tool, adding to the success of personalized medicine, and could thus play a relevant part in mitigating neurogenic muscle atrophy.
  • 537
  • 15 Dec 2022
Topic Review
Gestational Pesticide Exposure and the Child’s Respiratory System
Concerns have arisen worldwide about the potential adverse effects that could result from early-life exposure to pesticides. Asthma, bronchitis, and persistent cough in children have been linked to gestational exposure to pesticides. The respiratory effects of gestational exposure to pesticides are controversial. The relationship between pesticide exposure in pregnant women and its effect on the respiratory system of their children is summarized herein. 
  • 319
  • 15 Dec 2022
Topic Review
Sulfur Compounds in Garlic for Asthma Treatment
Asthma is a chronic inflammatory disease in the airways with a multifactorial origin but with inflammation and oxidative stress as related pathogenic mechanisms. Garlic (Allium sativum) is a nutraceutical with different biological properties due to sulfur-containing natural compounds. Studies have shown that several compounds in garlic may have beneficial effects on cardiovascular diseases, including those related to the lungs. Therefore, it is possible to take advantage of the compounds from garlic as nutraceuticals for treating lung diseases.
  • 944
  • 14 Dec 2022
Topic Review
Motor Imagery EEG Signal Channel Selection Techniques
Communication, neuro-prosthetics, and environmental control are just a few applications for disabled persons who use robots and manipulators that use brain-computer interface (BCI) systems. The brain’s motor imagery (MI) signal is an essential input for a brain-related task in BCI applications. Due to their noninvasive, portability, and cost-effectiveness, electroencephalography (EEG) signals are the most widely used input in BCI systems. The EEG data are often collected from more than 100 different locations in the brain; channel selection techniques are critical for selecting the optimum channels for a given application. However, when analyzing EEG data, the principal purpose of channel selection is to reduce computational complexity, improve classification accuracy by avoiding overfitting, and reduce setup time. Several channel selection assessment algorithms, both with and without classification-based methods, extracted appropriate channel subsets using defined criteria. 
  • 410
  • 14 Dec 2022
Topic Review
Artificial Intelligence in Reproductive Medicine
Infertility is a global health issue affecting women and men of reproductive age with increasing incidence worldwide, in part due to greater awareness and better diagnosis. Assisted reproduction technologies (ART) are considered the ultimate step in the treatment of infertility. Artificial intelligence (AI) has been progressively used in the many fields of medicine, integrating knowledge and computer science through machine learning algorithms. AI has the potential to improve infertility diagnosis and ART outcomes estimated as pregnancy and/or live birth rate, especially with recurrent ART failure.
  • 469
  • 12 Dec 2022
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