Search Results (180)

Background and clinical significance: Trichoblastomas are rare, mixed epithelial tumors with a mesenchymal component and hair follicle differentiation. Case presentation: Herein, we present a case report of a 51-year-old female patient presenting to the obstetrics and gynecology department with complaints of edema and erythema of the right Bartholin gland, and a lesion measuring 2 cm on the right lateral edge of the mons pubis, towards the inguinal fold. Marsupialization of the Bartholin gland was performed, as well as an incision into the pubo-inguinal lesion, which the patient depicted as grossly resembling an ingrown hair. Upon incision into the pubic–inguinal lesion, it was dark brown in color and spontaneously popped out of the subcutis, without an attempt at enucleation. Histology and subsequent immunohistochemistry of the lesion showed a blue basaloid tumor with an extensive pigment component located deep in the dermis that was sharply demarcated from the surrounding tissues. Conclusion: Immunohistochemistry was diffusely and strongly positive for epithelial markers; melanocytic markers were positive only in dendritic melanocytes dispersed within the tumors, and the proliferative index was low. As such, the tumor was identified as melanotrichoblastoma. Full article

This study focuses on the stabilization of a natural hair dye derived from Lawsonia inermis L. (henna) and Indigofera suffruticosa (indigo). Although various formulations already exist, they are designed for immediate use and cannot be stored. Lawsonia, a primary component of the dye, tends to degrade after release. To ensure its stability, freeze-drying was implemented as a protective measure. Colorimetric analysis confirmed the dye’s ability to maintain an intense, uniform coloration even after multiple washing cycles. Stability tests demonstrate that freeze-drying effectively enhances the dye’s stability and capacity to retain its physical properties and color under various environmental conditions, demonstrating its potential for long-term use. The dye’s pH (5.05) aligns with the natural pH of hair, promoting cuticle sealing and improving hair health. Cytotoxicity tests confirmed the dye’s safety, showing no harmful effects. Gray hair exhibited a total color difference (ΔE) of 64.06 after the initial application, using natural gray hair as a reference. By the third application, ΔE increased to 69.86 and gradually decreased to 68.20 after 15 washing cycles, highlighting its long-term durability. Gray hair exposed to 720 h of UV radiation showed a ΔE of 17.34, whereas dyed gray hair exhibited a ΔE of 2.96 compared to non-UV-exposed samples. This indicates superior resistance to color degradation in dyed hair. Also, SEM imaging revealed the dye’s restorative effects, progressively improving hair cuticle structure with each application. Full article

This study addresses three major challenges in non-motorized vehicle rider helmet detection: multi-spectral interference between the helmet and hair color (HSV spatial similarity > 0.82), target occlusion in high-density traffic flows (with peak density reaching 11.7 vehicles/frame), and perception degradation under complex weather conditions (such as overcast, foggy, and strong light interference). To tackle these issues, we developed the GMAL-YOLO detection algorithm. This algorithm enhances feature representation by constructing a Feature-Enhanced Neck Network (FENN) that integrates both global and local features. It employs the Global Mamba Architecture Enhancement (GMET) to reduce parameter size while strengthening global context capturing ability. It also incorporates Multi-Scale Spatial Pyramid Pooling (MSPP) combined with multi-scale feature extraction to improve the model’s robustness. The enhanced channel attention mechanism with self-attention (ECAM) is designed to enhance local feature extraction and stabilize deep feature learning through partial convolution and residual learning, resulting in a 13.04% improvement in detection precision under occlusion scenarios. Furthermore, the model’s convergence speed and localization precision are optimized using the modified Enhanced Precision-IoU loss function(EP-IoU). Experimental results demonstrate that GMAL-YOLO outperforms existing algorithms on the self-constructed HelmetVision dataset and public datasets. Specifically, in extreme scenarios, the false detection rate is reduced by 17.3%, and detection precision in occluded scenes is improved by 13.6%, providing an effective technical solution for intelligent traffic surveillance. Full article

The roan coat color is described as the dispersion of white hairs within an otherwise solid background color coat. This phenotype is primarily expressed on the body of the horse, with the head and legs exhibiting few to no white hairs. Previous studies mapped the locus for roan to the KIT region and observed linked variants in a small number of breeds. However, utilizing those linked markers to determine the roan genotype in other breeds has seen limited success. In this communication we identify a second roan allele (RN2) which, in conjunction with a previously observed roan allele (RN1) discovered in previous studies, accounts for approximately 74%, or 188 horses, out of a sample size totaling 257 roan horses. These two alleles were present in the non-roan population (N = 3212) at less than 1%, only in horses with light coat color and dilution alleles, likely obscuring the roan phenotype. Future work is required to identify additional alleles responsible for additional roan-type horse coat color phenotypic variation. Full article

Lawsonia inermis L. is renowned for its hair dyeing properties, with henna quality and safety often regulated by restrictions on the lawsone (2-hydroxy-1,4-naphthoquinone) content. In henna leaves, lawsone exists as glycosylated precursors, hennosides A, B, and C. Aqueous maceration revealed the sensitivity of enzymatic lawsone release, while ethanol extraction inhibited β-glucosidase activity, enabling controlled hennoside extraction. Hennoside A was isolated via RP-column chromatography and characterized using ESI-TOF, ¹H-/¹³C-NMR, COSY, NOESY, HSQC, and HMBC. The purified compound proved suitable as an HPLC reference standard. The acidic hydrolysis of hennoside-rich extracts highlighted the limitations of lawsone-based analysis, underscoring glycosylated precursors as more reliable quality markers. Lawsone quantification via enzymatic or acid catalysis demonstrated varying accuracy in quality control. A hennoside-based approach ensures consistency by estimating the maximum releasable lawsone without inducing its formation, providing a more robust metric for a henna quality assessment. Full article

Melanoma incidence is increasing, with distinct genetic and clinical patterns observed in the Latin American population. This study aimed to evaluate melanoma risk in a Colombian cohort through polygenic risk analysis using 37 variants across nine genes previously associated with melanoma. We performed polygenic risk score (PRS) analysis on 85 melanoma patients and 165 controls. Genotyping was performed for 37 melanoma-associated SNPs, and on the basis of previous GWAS reports, individual PRSs were calculated for each participant. The participants were then stratified into quartiles to examine risk gradients. In addition, phenotypic features such as eye and hair color were evaluated, and genetic models and haplotype analyses were performed, adjusting for sex and family history of cancer. PRS quartile stratification revealed a clear risk gradient. Notably, 31.8% of the melanoma cases were clustered in the highest-risk quartile (Q4), with a maximum PRS of 1.04. Variants in TYR, TYRP1, CDKN2A, and HERC2 significantly contributed to risk, and light brown eye and hair colors were strongly associated with increased melanoma risk. Moreover, a protective haplotype in the OCA2-HERC2 region was identified among males. The integration of the PRS with clinical and phenotypic factors has potential for improving melanoma risk stratification in the Colombian population, warranting further investigation in larger, diverse cohorts. Full article

Forensic genetics has experienced remarkable advancements over the past decades, evolving from the analysis of a limited number of DNA segments to comprehensive genome-wide investigations. This progression has significantly improved the ability to establish genetic profiles under diverse conditions and scenarios. Beyond individual identification, forensic genetics now enables the inference of physical traits (e.g., eye, hair, and skin color, as well as body composition), biogeographic ancestry, lifestyle habits such as alcohol and tobacco use, and even the transfer of genital microbiomes post-coitus, among other characteristics. Emerging trends point to a future shaped by the integration of cutting-edge technologies, including CRISPR-Cas systems, artificial intelligence, and machine learning, which promise to further revolutionize the field. This review provides a thorough exploration of forensic genetics, tracing its evolution from its foundational methods (past) to its diverse modern applications (present) and offering insights into its potential future directions. Full article

Alopecia areata (AA) is an autoimmune disorder causing non-scarring hair loss, which is often triggered by psychological stress. Conventional treatments, such as corticosteroids and immunotherapy, show variable efficacy and can cause side effects like hair discoloration. Exosome therapy, utilizing extracellular vesicles, presents a promising alternative, though its use in stress-related AA remains underexplored. A 39-year-old male with unifocal AA on the right parietal scalp developed hair loss following emotional distress after his fiancée’s death. Methotrexate and prednisolone were ineffective, prompting a bioregenerative approach using rose stem cell-derived exosomes (RSCEs) combined with thulium laser therapy. Six monthly sessions of RSCEs (20 mg/vial, 10 billion exosomes) were administered, with laser pre-treatment enhancing absorption. Within one month, vellus hair regrowth appeared, progressing to an increased density and pigmentation at three months. By six months, complete regrowth and natural pigmentation were achieved, with reduced inflammation confirmed by trichoscopy. The therapy was well-tolerated, with no adverse effects. This case highlights RSCE therapy as a promising treatment for stress-induced AA, achieving significant regrowth without corticosteroid-related side effects. Further studies are needed to validate its efficacy and refine protocols for broader clinical applications. Full article

Background/Objectives: Identification of human remains is of utmost importance for criminal investigations and providing closure to the families. The reconstruction of a biological profile of the individual will narrow down the list of candidates for identification. From another perspective, facial approximations performed by a forensic artist can provide investigative leads, with the identity being confirmed by primary or secondary methods of identification. In recent years, DNA analysis has evolved, trying to create a portrait of the perpetrator/victim based on External Visible Characteristics (EVCs), the color of the eyes, hair, and skin and Biogeographical ancestry (BGA), called DNA phenotyping. Despite these advances, currently, there are no studies integrating the biological profile performed by forensic anthropologists, the facial approximation created by forensic artists and EVCs determined by DNA. The goal of this work was to integrate these three investigative leads to enhance the possibility of human identification. Methods: Five donated remains from Mercyhurst were studied through these approaches: reconstruction of biological profile, facial approximation and estimation of EVCs based on previous studies. Results: Our results indicated the feasibility of integrating this biological profile and EVCs data into the facial approximation developed by the forensic artist, aiming to an enhance portrait of the remains. In a second phase of this project, the accuracy of the integrated facial approximation will be assessed. Conclusions: This study pointed out the importance of an interdisciplinary approach towards the identification of human remains, as well as the combination of current methods with new technologies. Full article

This study aimed to develop a sustainable and safe alternative to chemical hair dyes by exploring the functional performance and safety evaluation of herbal mixtures. Natural dyes were extracted from Lawsonia inermis leaves, Clitoria ternatea flowers, and Indigofera tinctoria leaves using an eco-friendly extraction method with deionized water and ultrasonication. The ratios of these natural dyes were optimized using statistical tools, specifically Minitab, to determine the most effective formulation. The safety profiles and dyeing performance of individual dyes and their combinations were evaluated with a focus on color intensity, stability, and resistance to washing and light exposure. The optimal herbal mixture, with a ratio of 2:2:1:1 (L. inermis/C. ternatea/I. tinctoria/water), demonstrated the highest absorbance and lowest lightness, indicating the darkest color profile. When applied for 30 min, this herbal combination yielded a long-lasting and intense dark color. Further testing using the hen’s egg chorioallantoic membrane test confirmed the favorable safety profile, and examination under a scanning electron microscope showed no damage to the hair cuticle, indicating that the herbal formulation is safer than chemical hair dyes. Therefore, this herbal mixture showed promise as an alternative to synthetic dyes, and further formulation development was suggested. Full article

Hair care products that have oxidative hair dye ingredients have been widely used to permanently change hair color for the characteristic and younger appearance of people and/or their companion animals. In the European Union and the Republic of Korea, these ingredients have been carefully used or prohibited for cosmetic products according to their genotoxic potential. There is a growing demand for reliable quantification methods to monitor oxidative hair dye ingredients in hair care products. However, accurately quantifying oxidative dyes in cosmetic samples is challenging due to their high reactivity and chemical instability under both basic and ambient conditions. For this reason, for the quantification methods, elaborate sample preparation procedures should be accompanied by chemical derivatization to avoid chemical reactions between hair dye ingredients, before instrumental analysis. Therefore, this study utilized a gas chromatography–mass spectrometry (GC-MS) method combined with in situ chemical derivatization to quantify 26 oxidative hair dye ingredients in hair care products. In situ derivatization using acetic anhydride provided the characteristic [M-CH₂CO]⁺ ions at m/z (M-42), produced by the loss of a ketene from the hair dye ingredient derivatives. These characteristic ions can be used to establish a selective ion monitoring (SIM) mode of GC-MS. The established method was successfully applied to hair dye products (n = 13) and hair coloring shampoos (n = 12). Most products contained unintended hair dye ingredients including catechol without labeling. It was cautiously speculated that these unintended hair dye ingredients might be caused by biodegradation due to various enzymes in natural product extracts. This study presents a reliable GC-MS method with in situ derivatization to quantify 26 oxidative hair dye ingredients in hair care products, addressing challenges related to their chemical instability. This method is crucial for public health and regulatory compliance. Full article

Background and Objectives: Traction alopecia is a common type of hair loss that primarily results from prolonged tension in hair follicles. This condition is often associated with certain hairstyles and hair care practices that are prevalent in various cultures, especially in Africa. There have been few studies on this issue in Africa, and none have been conducted in Sudan. Therefore, we aimed to examine the prevalence and associated factors of traction alopecia in women in north Sudan. Materials and Methods: A community-based, cross-sectional study was conducted in north Sudan in December 2022. Women’s sociodemographic characteristics were assessed using a questionnaire, and hair and scalp examinations were performed. A multivariate binary analysis was performed. Results: A total of 192 women participated in the study, and 48 (25.0%) had traction alopecia. The median age of the women was 42.0 years (interquartile range: 32.0–52.0 years). In a multivariate binary analysis, a family history of women with male pattern baldness or thinning (adjusted odds ratio [AOR] = 2.96, 95% confidence interval [CI] = 1.05–8.37) and the use of hair color or chemicals (AOR = 2.98, 95% CI = 1.30–6.83) were positively associated with traction alopecia. In contrast, increasing age was inversely associated with traction alopecia (AOR = 0.96, 95% CI = 0.93–0.99). The women with traction alopecia showed characteristics such as hair breakage, hair loss with the root attached, scalp tenderness, and trichodynia. Conclusions: In north Sudan, one in four women is affected by traction alopecia. Increasing awareness of this condition, providing education on proper hair care methods, and conducting large-scale research are essential steps to prevent its occurrence. Full article

This study explores the external morphology of larva of Cricula trifenestrata Helfer at the fifth instar stage, focusing on sexual dimorphism, scoli, and fluorescence hair warts. The larva displays a black body adorned with varying shades of orange to crimson–red transverse stripes and small yellow dorsal spots. Longitudinal stripes with fluorescent warts are observed in the subspiracular region, accompanied by an overall coverage of long white hairs. These distinctive features, including scoli and fluorescence hair warts, serve as effective defense mechanisms against predators and parasitoids. The results enhance our understanding of C. trifenestrata Helfer larval biology, providing valuable insights for entomology and evolutionary biology. The identification of species-specific adaptations, particularly the presence of scoli and fluorescence hair warts, underscores their significance in shaping survival strategies and ecological interactions. Full article

Deep Neural Networks (DNNs) have been widely adopted in several advanced artificial intelligence applications due to their competitive accuracy to the human brain. Nevertheless, the superior accuracy of a DNN is achieved at the expense of intensive computations and storage complexity, requiring custom expandable hardware, i.e., graphics processing units (GPUs). Interestingly, leveraging the synergy of parallelism and edge computing can significantly improve CPU-based hardware platforms. Therefore, this manuscript explores levels of parallelism techniques along with edge computation offloading to develop an innovative hardware platform that improves the efficacy of deep learning computing architectures. Furthermore, the multitask learning (MTL) approach is employed to construct a parallel multi-task classification network. These tasks include face detection and recognition, age estimation, gender recognition, smile detection, and hair color and style classification. Additionally, both pipeline and parallel processing techniques are utilized to expedite complicated computations, boosting the overall performance of the presented deep face analysis architecture. A computation offloading approach, on the other hand, is leveraged to distribute computation-intensive tasks to the server edge, whereas lightweight computations are offloaded to edge devices, i.e., Raspberry Pi 4. To train the proposed deep face analysis network architecture, two custom datasets (HDDB and FRAED) were created for head detection and face-age recognition. Extensive experimental results demonstrate the efficacy of the proposed pipeline-parallel architecture in terms of execution time. It requires 8.2 s to provide detailed face detection and analysis for an individual and 23.59 s for an inference containing 10 individuals. Moreover, a speedup of 62.48% is achieved compared to the sequential-based edge computing architecture. Meanwhile, 25.96% speed performance acceleration is realized when implementing the proposed pipeline-parallel architecture only on the server edge compared to the sever sequential implementation. Considering classification efficiency, the proposed classification modules achieve an accuracy of 88.55% for hair color and style classification and a remarkable prediction outcome of 100% for face recognition and age estimation. To summarize, the proposed approach can assist in reducing the required execution time and memory capacity by processing all facial tasks simultaneously on a single deep neural network rather than building a CNN model for each task. Therefore, the presented pipeline-parallel architecture can be a cost-effective framework for real-time computer vision applications implemented on resource-limited devices. Full article

Repeated expeditions across various regions of Georgia in the early 2000s led to the identification of 434 wild grapevine individuals (Vitis vinifera L. subsp. sylvestris (C.C. Gmel.) Hegi) across 127 different sites, with 45% of these sites containing only a single vine and only 7% more than 9 vines. A total of 70 accessions were propagated in a germplasm collection, 41 of them were descripted from the ampelographic point of view and 32 from the phenological one. The geographical and ecological analysis confirmed that wild grapevines primarily grow in humid environments with warm and fully humid climates, often near rivers. They favor deep, fertile, and evolved soils, mainly alluvial and cinnamonic types (80%), with a marginal presence on strongly eroded soils. Their main natural vegetations are forests and open woodlands, with some individuals in the Southeast found in steppes. The altitudinal range spans from 0 to 1200 m, with 80% of vines distributed between 400 and 900 m. The phenological analysis revealed significant differences among the accessions but no difference among populations, with only a slight variation in bud-break timing, indicating a high level of synchronicity overall. Flowering timing proved to be the most uniform stage, suggesting minimal environmental pressure on genetic adaptation. The mature leaf morphology exhibited significant polymorphism, though leaves were generally three- or five-lobed, weak-wrinkling, and -blistering, with a low density of hairs. Bunch and berry morphology were more uniform. Bunches were consistently very small, cylindrical, and never dense or winged. Berries were also very small, mostly globular, always blue-black in color, and non-aromatic. A striking feature was the frequency of red flesh coloration, which ranged from weak to strong, with uncolored flesh being rare. The Georgian population of wild grapevines was found to be fragmented, often consisting of scattered single individuals or small groups. Therefore, we believe it is urgent for Georgia to implement specific protection measures to preserve this vital genetic resource. Full article