Cryotherapy versus fractional carbon dioxide laser in patchy alopecia areata: a self-controlled comparative study by Ahmed A. Afify, Maha A. Shaheen, Mays Q. Ojaimi

“…Comparison between trichoscopic hair parameters before and after treatment showed a significant decrease in black dots, yellow dots, and exclamation mark hair count in both cryotherapy and FCO2 groups. …”
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Dermoscopic And Clinical Features Of Alopecia Areata In Pakistani Patients: A Cross-Sectional Study by Mahwish Ahmed, Neelam Ayub, Muhammad Hamza, Asma Nafisa, Dua Zhaira Zaidi, Ismat Zhaira Zaidi

“…The Pearson chi-square test showed a significant correlation between age and the presence of black dots, yellow dots, broken hairs, exclamation mark hairs, pigtail hairs, short villus hairs, and Pohl-Pinkus constriction (p < 0.001). …”
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STRIAA (Severity TRichoscopy Index Alopecia Areata): Validation of a Novel Trichoscopic Tool for Evaluation of Alopecia Areata by Michela Starace, Francesca Pampaloni, Federico Quadrelli, Stephano Cedirian, Luca Rapparini, Francesca Bruni, Bianca Maria Piraccini

“…Methods Anonymized images from 340 patients were scored by two independent raters who analyzed four scalp areas (vertex, occipital, and left and right parietal) for trichoscopic signs: black dots, yellow dots, exclamation mark hairs, broken hairs, and short vellus hairs. …”
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REPRESENTATION OF IRONY IN WHATSAPP GROUP CHAT by Anna Riana Suryanti Tambunan, Fauziah Khairani Lubis, Winda Setia Sari, Widya Andayani, Moh Hilman Fikri

“…Sarcasm was detected by using uppercase characters, exclamation marks, and teasing words. Hyperbole and understatement were the second participants’ favorite to use to exaggerate reality and make a dramatic situation. …”
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Automatic detection of fake reviews at marketplaces using expert-based features and consumers’ reactions by A. N. Borodulina, E. V. Mikhalkova

“…The paper presents the results of automatic classification of reviews from Russian marketplaces into potentially fake and honest ones using modelling of features that experts call labels of a fake review (presence of template words, exclamation marks, emoji, positive sentiment), and machine learning algorithms. …”
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