research Defining Social Housing: A Discussion on the Suitable Criteria
Social housing is a system for those with limited financial resources, needing subsidies and an allocation system, with Germany fitting this criteria.
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research Considerations in genetic counseling of transgender patients: Cultural competencies and altered disease risk profiles
Genetic counselors should be culturally skilled and aware of transgender patients' unique health risks and needs.
research The regulatory role of the tetrapeptide A cSDKP in skin and hair physiology and the prevention of ageing effects in these tissues – a potential cosmetic role
AcSDKP may help prevent skin and hair aging and promote their growth.
research Controversy: Synthetic hairs and their role in hair restoration?
Synthetic hair fibers for hair restoration were controversial in 2009 due to health risks and lack of support from the International Society of Hair Restoration.
research Volumetric Rejuvenation: General Concepts
Aging involves volume loss, not just gravity and skin changes, and restoring facial volume is key for a youthful look.
research Skin problems in the long‐distance runner 2500 years after the Battle of Marathon
Runners often face skin problems like blisters and infections, and both prevention and early treatment are important.
research HAIR AND BLOOD ENDOGENOUS LOW LEVEL BIOMAGNETIC FIELDS CROSS-TALK EFFECTS ON FIBRIN INHIBITION AND ROULEAU FORMATION
Human hair's biomagnetic fields can affect blood cell clumping and coagulation.
research The Mossman–Pacey Paradox
Men using steroids or finasteride to look more attractive may harm their fertility and sexual function, creating a paradox where they seem fit but may be less able to reproduce.
research Harnessing Deep Learning for Scalp and Hair Disease Classification: A Comparative Study of Convolutional Neural Networks Architectures
VGG16 and VGG19 are the most accurate for classifying scalp and hair diseases.
research Optimizing skin disease diagnosis: harnessing online community data with contrastive learning and clustering techniques
Researchers improved a skin disease diagnosis model using online images, achieving up to 49.64% accuracy.