research A study on multidimensional quantification of occupations : development of numerical criteria for a broad range of occupations
The study created a numerical system to describe and compare 601 jobs in Japan.
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research Unravelling Childhood Tinea Capitis: A Multi-Dimensional Investigation Using Dermoscopy, Scanning Electron Microscopy and Mass Spectrometry
Tinea capitis in a child was caused by a fungus from cats, highlighting the need for accurate diagnosis and treatment.
research Machine learning predicts scarring progression in lichen planopilaris: A multidimensional model integrating trichoscopy, vitamin D, and diagnostic timelines
A machine learning model can predict scarring in lichen planopilaris using factors like vitamin D levels and diagnostic delay.
research Artificial Intelligence in Non-Surgical Cosmetic Procedures: A Multi-Stakeholder Revolution
AI is revolutionizing non-surgical cosmetic procedures by improving personalization, safety, and access.
research GBP1 as a machine learning-prioritized biomarker and therapeutic target for epstein-barr virus-induced clear cell renal cell carcinoma: multi-omics causal validation
GBP1 is a key target for treating Epstein-Barr virus-related kidney cancer, and finasteride may help.
research Core Curriculum for Hair Restoration Surgery, Recommended by the International Society of Hair Restoration Surgery (ISHRS)
The International Society of Hair Restoration Surgery established a curriculum in 2005 to standardize knowledge and skills for treating hair loss, emphasizing it as a multidimensional specialty.
research Perfectionism and Body Dysmorphic Disorder Symptoms among Men Seeking and Not Seeking Hair Transplant
Men seeking hair transplants show higher perfectionism and body dysmorphic disorder symptoms.
research Hair vibrancy: A quantitative multi‐modal approach bridging consumer perception, expert and instrumental evaluation
Hair vibrancy involves how hair looks and feels, helping create better hair products.
research Expert consensus on systemic treatment activation and grading evaluation for alopecia areata
Experts recommend starting systemic treatment for alopecia areata when the condition is severe or causes significant distress.
research Disfunción eréctil : función endotelial e interacción hormonal, efectos sobre la salud vascular -De la fisiopatología molecular a los aspectos clínicos-
Erectile dysfunction is linked to hormone imbalances and vascular health, requiring personalized treatment approaches.
research 원형탈모증과 안드로겐성 탈모증 환자에서 생활사건 스트레스와 대처방식에 관한 연구
Stress management is important for hair loss conditions like alopecia areata and androgenetic alopecia.
research How Much Health Insurance Is Enough? Revisiting the Concept of Underinsurance
The document concludes that there is no clear definition of adequate health insurance, and a consistent method to measure underinsurance is needed.
research Abstracts from the 17th Congress of the European Society for Dermatology and Psychiatry
The congress showed that psychological therapy can help skin condition patients, social media affects acne stigma, education improves atopic dermatitis, and patient satisfaction in dermatology is high, especially with good doctor engagement.
research Protein Microarrays
Protein microarrays are highly sensitive tools useful for disease diagnosis and studying proteins.
research A Nonredundant Human Protein Chip for Antibody Screening and Serum Profiling
The technology can help diagnose and subtype autoimmune diseases by identifying specific autoantibodies.
research MEGA PROTAC, MEGA DOCK-based PROTAC mediated ternary complex formation pipeline with sequential filtering and rank aggregation
MEGA PROTAC improves prediction and ranking of protein complexes better than existing methods.
research Proteomics as a tool to improve novel insights into skin diseases: what we know and where we should be going
Proteomics combined with other technologies can lead to a better understanding of skin diseases.
research Optimal processing for proteomic genotyping of single human hairs
The method improved hair analysis for better forensic identification.
research Development of high-performance two-dimensional gel electrophoresis for human hair shaft proteome
A new method improves protein analysis in hair, aiding health and disease research.
research Improved two‐dimensional electrophoretic mapping of Japanese human hair proteins; application to curved and straight Japanese human hairs; and protein identification by MALDI MS and MS/MS quadrupole time‐of‐flight mass spectrometry
The study found that minor protein differences between curved and straight Japanese hair are unlikely to significantly affect hair structure.
research Characterisation of low abundance wool proteins through novel differential extraction techniques
New techniques helped identify rare wool proteins by reducing dominant ones.
research Quantitative Analysis of Cashmere and Other Animal Hair Fibers in Textiles Using MALDI-TOF Mass Spectrometry
The new method reliably identifies and measures different animal hair fibers in textiles.
research Validation and casework testing of the BioPlex-11 for STR typing of telogen hair roots
BioPlex-11 improves DNA profiling from telogen hair roots in forensic work.
research Identification of Cashmere and Other Animal Hair Fibers in Textiles by MALDI-TOF Mass Spectrometry
Researchers developed a method to identify animal fibers in textiles, which works on processed and blended materials.
research Ultrahigh-Power Sonicator Lysis Enables Deep ProteomicProfiling of Hair Shafts for Fetal Growth Restriction Biomarker Discovery
A new method helps find proteins in hair to identify fetal growth issues.
research Multiplex matrix network analysis of protein complexes in the human TCR signalosome
Alopecia areata patients show unique protein activity patterns, suggesting imbalanced signaling pathways.
research Topological Markers for Subcellular Chemical Mapping using TOF-SIMS
TOF-SIMS improved chemical mapping in cells, confirming gunshot residue, tracking anti-tumor drugs, and identifying molecules in mosquitoes and wounds.
research Predicting Physical Appearance from Low Template: State of the Art and Future Perspectives
Machine learning improves DNA predictions for eye and hair color, but challenges remain for skin tone and facial features.
research Ultrahigh-Power Sonicator Lysis Enables Deep Proteomic Profiling of Hair Shafts for Fetal Growth Restriction Biomarker Discovery
A new method improves protein extraction from hair, helping identify potential biomarkers for fetal growth issues.
research 574 A deep learning classifier for the analysis of tiger tail banding in trichothiodystrophy
A deep learning model was developed to help diagnose trichothiodystrophy by analyzing hair patterns.