Preparation of Quick-Dissolving Nanofiber Face Masks Based on Needleless Electrostatic Spinning.

As the global facial mask market continues to grow, consumers have put forward higher requirements for the functionality and ingredients of mask products. Ordinary facial masks mostly use ordinary non-woven fabrics as the mask base fabric and are used with essence. Preservatives are generally added. At the same time, they are susceptible to the influence of the external environment and are easily oxidized, causing the mask to deteriorate and cause skin allergic reactions. In addition, traditional facial masks have problems such as poor fit with the skin, poor breathability, insufficient absorption of nutrient solutions, and easy dripping. The high specific surface area and high porosity of a nanofiber mask prepared by electrospinning technology are beneficial to the skin's absorption of nutrients, and it has good fit with the skin and strong breathability. A unique advantage of this nanofiber mask is that it uses spray. After the mask is sprayed with water or essence, the water-soluble polymer within it can be quickly dissolved, saving a lot of time. Nanofiber facial mask products can effectively solve consumer pain points and are conducive to the high-end development of facial masks. Therefore, this article combines needleless electrospinning technology to develop a new solid-state, preservative-free, quick-dissolving nanofiber facial mask that can be prepared on a large scale. Based on needleless electrospinning technology, this article deeply explores the process parameters and their influencing mechanisms for preparing nanofiber, quick-dissolving facial masks to achieve the stable preparation of nanofiber facial masks with the best morphology; a comprehensive analysis of the structure and influence of nanofiber facial masks from micro and macro perspectives demonstrates their performance and allows evaluation of them. The experimental results show that the mask morphology is optimal under the process conditions of using a spinning liquid of 20% collagen peptide solution, a spinning voltage of 30 kV, a collection distance of 19 cm, and a liquid supply speed of 130 mL/h.

A two-center randomized controlled trial of a repairing mask as an adjunctive treatment for mild to moderate rosacea.

OBJECTIVE: To investigate the efficacy and safety of a repairing mask as an adjunctive treatment for skin barrier maintenance of mild to moderate rosacea. METHODS: Patients with rosacea were recruited in this dual center randomized controlled trial from November 2019 to December 2021. A total of 64 patients were included and randomized into two groups at a ratio of 3:1 into a mask group (n = 47) and a control group (n = 17). Patients in the mask group received treatment with Dr. Yu Centella asiatica repairing facial mask three times weekly for a duration of 6 weeks. All participants were instructed to continue their regimen of 50 mg oral minocycline twice daily and to apply Dr. Yu Intensive Hydrating Soft Cream twice daily. The primary endpoint of this study was the Investigator Global Assessment (IGA) score. RESULTS: A total of 54 patients completed this trial, with 41 in the mask group and 13 in the control group. After using this facial mask for 3 and 6 weeks, the IGA, facial skin dryness, facial flushing, and severity of skin lesion in the mask group showed significantly improvement (p < 0.05). Moreover, the change in the delta degree of skin flushing was significantly higher than that in the control group (p = 0.037). Throughout the study, no adverse events were reported in either group of participants. CONCLUSION: The Dr. Yu Centella asiatica repairing facial mask, as an adjunctive treatment of rosacea, appears to effectively repair and protect the skin barrier, alleviate cutaneous symptoms of rosacea, and is both efficacious and safe for patient use.

Inclusion of Pseudomonas fluorescens into soil-like fraction from municipal solid waste management park to enhance plastic biodegradation.

Single-use facial masks which are predominantly made out of polypropylene is being used and littered in large quantities during post COVID-19 situation. Extensive researches on bioremediation of plastic pollution on soil led to the identification of numerous plastic degrading microorganisms. These organisms assimilate plastic polymers as their carbon source for synthesizing energy. Pseudomonas fluorescens (PF) is one among such microorganism which is being identified to biodegrade plastic polymers in controlled environment. The natural biodegradation of facial mask in soil-like fraction collected from municipal waste management site, bioaugmentation of the degradation process with Pseudomonas fluorescens, biostimulation of the soil with carbonless nutritional supplements and combined bioaugmentation with biostimulation process were studied in the present work. The study has been conducted both in controlled and in natural condition for a period of 12 months. The efficiency of the degradation was verified through FTIR analyses using carbonyl index, bond energy change, Loss in ignition (LOI) measurement along with CHNS analyses of residual substances. The analysis of results reported that carbonyl index (in terms of transmittance) was reduced to 46% of the control batch through the inclusion of PF in natural condition. The bioaugmented batch maintained in natural condition showed 33% reduction of LOI with respect to the control batch. The unburnt carbon content of the residual matter obtained from the furnace were analysed using CHNS analyser and indicated the lowest carbon content in the same bioaugmented batch. In this study, an attempt is made to verify the feasibility of enhancing biodegradation of single-use facial mask by bioaugmentation of soil-like fraction available in solid waste management park with Pseudomonas fluorescens under natural condition. CHNS and FTIR analysis assures the biodegradation of plastic waste in the soil-like fraction using Pseudomonas fluorescens under both controlled and natural environmental condition.

Fabrication of multifunctional facial masks from phenolic acid grafted chitosan/collagen peptides via aqueous electrospinning.

Facial masks have become ubiquitous in our daily life to endow skin enough moisture and activated nutrition through mask nonwovens infused with skincare ingredients. However, the active nutrients in wet masks are prone to deterioration and deactivation. Herein, a novel multifunctional nanofiber dry mask was successfully prepared using aqueous-electrospun phenolic acid grafted chitosan/collagen peptides. When used, the functional nanofibers in the mask dissolve through spraying moisture, activating active ingredients in response to water and providing in-situ free radical scavenging, moisturizing and antibacterial effects to the skin. In this work, a series of gallic acid (GA), caffeic acid (CA), and protocatechuic acid (PA) have been studied to be grafted with chitosan to improve water solubility of chitosan (CS). Also, through aqueous electrospinning of phenolic acid-grafted chitosan/collagen peptides, a one-step green multifunctional nanofiber mask was obtained. The results showed that the mask had a 12.14 % moisturizing rate and a 94.09 % activity for removing free radicals from the skin after encountering moisture. Considering its high efficiency, controllable function release, and easy processability, the nanofiber multifunctional mask may provide a competitive alternative to facial masks and promote potential value-added applications of bio-based macro-molecules.

Efficacy of a moisturizing cream and facial mask for alleviating skin problems associated with medical mask use: A half-face, randomized controlled study.

BACKGROUND: Prolonged use of medical masks has increased skin-related issues. AIM: To evaluate the efficacy of a facial cream and facial mask in mitigating medical mask related skin symptoms. METHODS: Healthy women were randomly assigned to apply a facial cream (n = 32) or a facial mask plus a facial cream (n = 32) on half-faces after wearing medical masks for 4 h (Tb). Transepidermal water loss (TEWL), dryness score, and redness area were assessed at Tb and 10 min after using the cream (T1) in the facial cream group, and at Tb, 1 h after using the facial mask (T2), and 10 min after using the cream (T3) in the combined use group. RESULTS: In the facial cream group, the treated half-face showed significantly better improvements from Tb to T1 in TEWL (-2.95 ± 0.38 vs. -0.68 ± 0.35 g/h·cm2, p < 0.001) and skin dryness score (-1.00 ± 0.12 vs. 0.00 ± 0.00, p < 0.001). In the combined use group, the treated half-face showed significantly better improvements from Tb to T2 and T3 in TEWL (T2, -3.46 ± 0.33 vs. -0.09 ± 0.13 g/h·cm2; T3, -4.67 ± 0.31 vs. -0.28 ± 0.22 g/h·cm2) and skin dryness score (T2, -0.63 ± 0.13 vs. 0.03 ± 0.03; T3, -0.94 ± 0.17 vs. 0.19 ± 0.07) (all p < 0.001) then the untreated half-face. The combined use group had significantly lower TEWL at T3 than T2 (p < 0.05). The reduction in redness area was similar between the treated and untreated half-faces in both groups. CONCLUSIONS: The test facial cream and mask significantly improved skin barrier function and alleviated dryness symptoms associated with medical mask use, with the combined use offering superior benefits.

Preparation and efficacy verification of three-dimensional printed partitioned multi-effect precision-care gel facial mask.

OBJECTIVE: A partition multi-effect precision-care gel facial mask conforming to facial skin characteristics was prepared using three-dimensional (3D) printing technology. METHODS: First, the hydrogel matrix and humectant of a 3D-printed gel for facial masks were screened, and three 3D-printed gels of arbutin, hexapeptide, and salicylic acid were prepared with whitening, wrinkle removal, and oil control functions, respectively. Skin irritation tests were performed on the gels. Physicochemical properties such as pH, heat and cold tolerance were evaluated. The efficacy of three 3D-printed gels was assessed by measuring melanin value, wrinkle depression score, and oil secretion. Finally, the facial mask model design and printing parameters were studied, and a partition multi-effect precision-care gel facial mask was printed in line with facial skin characteristics. RESULTS: For the 3D-printed facial mask, the gel prescription with 2% hydroxyethyl cellulose gel as matrix and 7% glycerol as humectant was the best. The prepared 3D-printed gel did not irritate the human skin, and its physicochemical properties met the Chinese facial mask industry standard (QB/T2872-2017). We showed that three types of 3D-printed gels containing arbutin, hexapeptide, and salicylic acid could be applied to the corresponding parts of the face to solve different problems, such as facial skin dullness, wrinkles, and oil secretion. Therefore, according to facial physiological characteristics, the facial mask model was designed for the forehead and nasolabial fold, which needs to be anti-wrinkled; the cheek, which needs to be whitened; and the nose and chin, which need oil control. The optimal printing parameters were 0.26 mm nozzle diameter, 90 mm/s printing speed, 30% filling density, 140% wire extrusion ratio, and 0.25 mm layer height. Different skin care effects can be achieved using a three-nozzle printer to print arbutin, hexapeptide, or salicylic acid gel on the mask's forehead and nasolabial fold, cheek, and nose and chin, respectively. CONCLUSION: The 3D-printed partition multi-effect care gel facial mask prepared according to the skin features of different parts of the face can overcome the problem of the single skincare effect of the mass-produced facial masks.

OBJECTIF: Un masque facial de soin de précision en gel à effets multiples, adapté aux caractéristiques de la peau du visage, a été préparé à l'aide de la technologie d'impression tridimensionnelle (3D). MÉTHODES: Tout d'abord, la matrice d'hydrogel et l'humectant d'un gel imprimé en 3D pour les masques faciaux ont été sélectionnés, et trois gels imprimés en 3D d'arbutine, d'hexapeptide et d'acide salicylique ont été préparés avec des fonctions de blanchiment, d'élimination des rides et de contrôle du sébum, respectivement. Des tests d'irritation cutanée ont été réalisés sur les gels. Les propriétés physicochimiques telles que le pH et la tolérance à la chaleur et au froid ont été évaluées. L'efficacité des trois gels imprimés en 3D a été évaluée en mesurant la valeur de la mélanine, le score de dépression des rides et la sécrétion de sébum. Enfin, la conception du modèle de masque facial et les paramètres d'impression ont été étudiés, et un masque facial de gel de soin de précision à effets multiples a été imprimé en fonction des caractéristiques de la peau du visage. RÉSULTATS: Pour le masque facial imprimé en 3D, la prescription de gel avec 2 % de gel d'hydroxyéthylcellulose comme matrice et 7 % de glycérol comme humectant était la meilleure. Le gel imprimé en 3D n'a pas irrité la peau humaine et ses propriétés physicochimiques sont conformes à la norme industrielle chinoise relative aux masques faciaux (QB/T2872­2017). Nous avons montré que trois types de gels imprimés en 3D contenant de l'arbutine, de l'hexapeptide et de l'acide salicylique pouvaient être appliqués aux parties correspondantes du visage pour résoudre différents problèmes, tels que l'aspect terne de la peau du visage, les rides et la sécrétion de sébum. Par conséquent, en fonction des caractéristiques physiologiques du visage, le modèle de masque facial a été conçu pour le front et le sillon nasogénien, qui doivent être antirides, la joue, qui doit être blanchie, et le nez et le menton, qui ont besoin d'un contrôle du sébum. Les paramètres d'impression optimaux étaient les suivants : diamètre de buse de 0,26 mm, vitesse d'impression de 90 mm/s, densité de remplissage de 30 %, rapport d'extrusion du fil de 140 % et hauteur de couche de 0,25 mm. Différents effets de soin de la peau peuvent être obtenus en utilisant une imprimante à trois buses pour imprimer de l'arbutine, de l'hexapeptide ou du gel d'acide salicylique sur le front et le sillon nasogénien, la joue, le nez et le menton du masque, respectivement. CONCLUSION: Le masque facial en gel de soin à effets multiples imprimé en 3D et préparé en fonction des caractéristiques de la peau des différentes parties du visage peut résoudre le problème de l'effet de soin unique des masques faciaux produits en masse.

In-situ electrospinning with precise deposition of antioxidant nanofiber facial mask loaded with Enteromorpha prolifera polysaccharides.

In order to fabricate a novel antioxidant nanofiber facial mask, a metal cone modified in-situ electrospinning with precise deposition was employed by utilizing Enteromorpha prolifera polysaccharides (EPPs). The metal cone could control the deposition area to achieve precise fabrication of facial mask on skin. The EPPs exhibited remarkable antioxidant ability, as evidenced by the half-maximal inhibitory concentrations (IC50) of 1.44 mg/mL and 0.74 mg/mL against DPPH and HO• free radicals, respectively. The antioxidant ability of the facial mask was improved by elevating the electrospinning voltage from 15 kV to 19 kV, due to the improved release capacity of EPPs by 7.09 %. Moreover, the facial mask demonstrated robust skin adhesion and moisture-retaining properties compared with commercial facial mask, which was benefited by the in-situ electrospinning technology. Furthermore, cytotoxicity assay, animal skin irritation test, and ocular irritation test collectively affirmed the safety of the facial mask. Thus, this research introduces a novel in situ electrospinning with precise deposition method and a natural antioxidant additive for preparing facial mask.

The use of face masks and the impact on heart rate variability during baseline ECG

We compared electrocardiograms (ECGs) findings with one year difference between each other with and without use of face mask at the moment to be tested. The first ECG was done one year before without face mask, and the second ECG with a mask one year later after 3 months of mandatory use for epidemiological COVID-19 pandemic justifications in healthy youth elite athletes.ResultsRegarding heart rate variability (HRV), an increase in RMSSD was recorded when the test was performed with a mask (M): 108.5 ± 90 ms vs. No mask (NM): 72.9 ± 54.2 ms (p <0.002). And also an increase in SDNN, when the test was done with a M: 86.2 ± 47.2 ms vs. NM: 65.9 ± 43.5 ms (p <0.036).ConclusionsThe results on ECG are consistent with the increasing predominance of parasympathetic regulation, which is responsible for regulation of the autonomic loop when the subject is using face mask. (AU)

Biocompatible anti-aging face mask prepared with curcumin and natural rubber with antioxidant properties.

Natural rubber latex (NRL) is a biopolymer widely used in biomedical applications. In this work, we propose an innovative cosmetic face mask, combining the NRL's biological properties with curcumin (CURC), which has a high level of antioxidant activity (AA) to provide anti-aging benefits. Chemical, mechanical and morphological characterizations were performed. The CURC released by the NRL was evaluated by permeation in Franz cells. Cytotoxicity and hemolytic activity assays were performed to assess safety. The findings showed that the biological properties of CURC were preserved after loading in the NRL. About 44.2 % of CURC was released within the first six hours, and in vitro permeation showed that 9.36 % ± 0.65 was permeated over 24h. CURC-NRL was associated with a metabolic activity higher than 70 % in 3 T3 fibroblasts, cell viability ≥95 % in human dermal fibroblasts, and a hemolytic rate ≤ 2.24 % after 24 h. Furthermore, CURC-NRL maintained the mechanical characteristics (range suitable) for human skin application. We observed that CURC-NRL preserved ~20 % antioxidant activity from curcumin-free after loading in the NRL. Our results suggest that CURC-NRL has the potential to be used in the cosmetics industry, and the experimental methodology utilized in this study can be applied to different kinds of face masks.

Tannic-Acid-Enriched Poly(vinyl alcohol) Nanofibrous Membrane as a UV-Shie lding and Antibacterial Face Mask Filter Material.

Face masks are increasingly important in the battle against infectious diseases and air pollution. Nanofibrous membranes (NFMs) are promising filter layers for removing particulate matter (PM) without restricting air permeability. In this study, tannic-acid-enriched poly(vinyl alcohol) (PVA-TA) NFMs were fabricated by electrospinning PVA solutions containing large amounts of tannic acid (TA), a multifunctional polyphenol compound. We were able to prepare uniform electrospinning solution without coacervate formation by inhibiting the robust hydrogen bonding between PVA and TA. Notably, the NFM maintained its fibrous structure even under moist conditions after heat treatment without the use of a cross-linking agent. Further, the mechanical strength and thermal stability of the PVA NFM were improved by the introduction of TA. The functional PVA NFM with a high TA content showed excellent UV-shielding (UV-A: 95.7%, UV-B: 100%) and antibacterial activity against Escherichia coli (inhibition zone: 8.7 ± 1.2 mm) and Staphylococcus aureus (inhibition zone: 13.7 ± 0.6 mm). Moreover, the particle filtration efficiency of the PVA-TA NFM for PM0.6 particles was 97.7% at 32 L min-1 and 99.5% at 85 L min-1, indicating excellent filtration performance and a low pressure drop. Therefore, the TA-enriched PVA NFM is a promising mask filter layer material with excellent UV-blocking and antibacterial properties and has the potential for various practical applications.

The effects of facial mask use on ocular surface parameters and tear film cytokine profile in prolonged use.

OBJECTIVE: To compare tear fluid levels of matrix metalloproteinase 9 (MMP-9) and IL-1ß cytokines between healthcare workers wearing facial masks and controls with correlations in clinical findings. METHODS: In a prospective, controlled clinical trial tear fluid was analyzed for MMP-9 and IL-1ß levels using a commercially available test (Invitrogen; Thermo Fisher Scientific Inc. Waltham, Massachusetts, USA). Symptoms and signs of dry eye disease (DED) were evaluated using the ocular surface disease index (OSDI), noninvasive tear break-up time (NIBUT), tear meniscus height (TMH), Oxford corneal staining, meibomiography, and clinical findings of meibomian gland dysfunction (MGD). RESULTS: In the 38 eyes of healthcare workers and 30 eyes of controls, there was no statistically significant difference between the groups in terms of age and sex (p > 0.05). The mean OSDI score, daily mask wear time, meibomiography degree, and rate of positive clinical findings of MGD were higher in group 1 than in group 2, and the mean NIBUT was higher in group 2. (p > 0.05). The mean values of IL-1ß and MMP-9 were higher in group 1 (p = 0.036 and p = 0.001, respectively). The TMH and Oxford score percentages were similar between the two groups (p > 0.05). CONCLUSIONS: Elevated levels of IL-1ß and MMP-9 in the basal tear fluid reveal increased ocular inflammation in healthcare professionals. Lower NIBUT values with higher OSDI and meibomian gland loss scores support ocular surface disturbance depending on regular mask use.

Development of Sustainable Hydrophilic Azadirachta indica Loaded PVA Nanomembranes for Cosmetic Facemask Applications.

Nanofiber-based facial masks have attracted the attention of modern cosmetic applications due to their controlled drug release, biocompatibility, and better efficiency. In this work, Azadirachta indica extract (AI) incorporated electrospun polyvinyl alcohol (PVA) nanofiber membrane was prepared to obtain a sustainable and hydrophilic facial mask. The electrospun AI incorporated PVA nanofiber membranes were characterized by scanning electron microscope, Ultraviolet-visible spectroscopy (UV-Vis) drug release, water absorption analysis, 2,2-diphenyl-1-picrylhydrazyl (DPPH) scavenging, and antibacterial activity (qualitative and quantitative) at different PVA and AI concentrations. The optimized nanofiber of 376 ± 75 nm diameter was obtained at 8 wt/wt% PVA concentration and 100% AI extract. The AI nanoparticles of size range 50~250 nm in the extract were examined through a zeta sizer. The water absorption rate of ~660% and 17.24° water contact angle shows good hydrophilic nature and water absorbency of the nanofiber membrane. The UV-Vis also analyzed fast drug release of >70% in 5 min. The prepared membrane also exhibits 99.9% antibacterial activity against Staphylococcus aureus and has 79% antioxidant activity. Moreover, the membrane also had good mechanical properties (tensile strength 1.67 N, elongation 48%) and breathability (air permeability 15.24 mm/s). AI-incorporated nanofiber membrane can effectively be used for facial mask application.

Enzymatic biofuel cell-powered iontophoretic facial mask for enhanced transdermal drug delivery.

Recent advances in enzymatic biofuel cells (EBFCs) have resulted in great progress in health monitoring and supplying power to medical applications, such as drug delivery. On the other hand, to enhance the electric field-assisted transdermal permeation for facial mask application, an external power source is usually required. Herein, we attempted to combine an EBFC with a facial mask so that the microcurrent generated can boost the transdermal permeability of target molecules in the facial mask essence. When screen-printed onto a polypropylene-based non-woven fabric, the three-layered flexible EBFC could produce a voltage of ∼0.4 V and a maximum power density of 23.3 µW cm-2, leading to an approximately 2-3-fold increase in permeated nicotinamide, arbutin, and aspirin levels within 15 min compared to non-iontophoretic transdermal drug delivery. Both cell viability and animal experiments further demonstrated that the EBFC-powered iontophoresis worked well in living animals with good biocompatibility. These results suggest that the EBFC-powered iontophoretic facial mask can effectively improve the permeation of drugs and holds a promise for the possible cosmetic application.

Development of Real-Time Landmark-Based Emotion Recognition CNN for Masked Faces.

Owing to the availability of a wide range of emotion recognition applications in our lives, such as for mental status calculation, the demand for high-performance emotion recognition approaches remains uncertain. Nevertheless, the wearing of facial masks has been indispensable during the COVID-19 pandemic. In this study, we propose a graph-based emotion recognition method that adopts landmarks on the upper part of the face. Based on the proposed approach, several pre-processing steps were applied. After pre-processing, facial expression features need to be extracted from facial key points. The main steps of emotion recognition on masked faces include face detection by using Haar-Cascade, landmark implementation through a media-pipe face mesh model, and model training on seven emotional classes. The FER-2013 dataset was used for model training. An emotion detection model was developed for non-masked faces. Thereafter, landmarks were applied to the upper part of the face. After the detection of faces and landmark locations were extracted, we captured coordinates of emotional class landmarks and exported to a comma-separated values (csv) file. After that, model weights were transferred to the emotional classes. Finally, a landmark-based emotion recognition model for the upper facial parts was tested both on images and in real time using a web camera application. The results showed that the proposed model achieved an overall accuracy of 91.2% for seven emotional classes in the case of an image application. Image based emotion detection of the proposed model accuracy showed relatively higher results than the real-time emotion detection.

Perceptions of persons who wear face coverings are modulated by the perceivers' attitude.

We examined if the effect of facial coverings on person perception is influenced by the perceiver's attitudes. We used two online experiments in which participants saw the same human target persons repeatedly appearing with and without a specific piece of clothing and had to judge the target persons' character. In Experiment 1 (N = 101), we investigated how the wearing of a facial mask influences a person's perception depending on the perceiver's attitude toward measures against the COVID-19 pandemic. In Experiment 2 (N = 114), we examined the effect of wearing a head cover associated with Arabic culture on a person's perception depending on the perceiver's attitude toward Islam. Both studies were preregistered; both found evidence that a person's perception is a process shaped by the personal attitudes of the perceiver as well as merely the target person's outward appearance. Integrating previous findings, we demonstrate that facial covers, as well as head covers, operate as cues which are used by the perceivers to infer the target persons' underlying attitudes. The judgment of the target person is shaped by the perceived attitude toward what the facial covering stereotypically symbolizes.

Comparison of the Pre-Lens Tear Film Stability and Visual Performance of a Novel and Two Other Daily Disposable Contact Lenses in Healthcare Professionals Wearing Facial Masks for Prolonged Time.

Objective: To compare a novel daily disposable contact lens (DDCL) verofilcon A with other DDCL materials in terms of pre-lens tear film (PLTF) stabilization and visual performance for prolonged use in healthcare professionals with the use of masks. Methods: Subjects aged 20-40 years old were prospectively randomized into three study groups. Group 1: verofilcon A, group 2: nesofilcon A and group 3: senofilcon A. The subjects were evaluated at baseline with best corrected visual acuity (BCVA), non-invasive tear break up time (NIBUT) of pre-lens tear film, and high order aberrations (HoAs). After 28 days of CL use, NIBUT at 1, 4, 8, and 12 h, HoAs, contrast sensitivity (CS) with CVS100-E and contact lens dry eye questionnaire-8 (CLDEQ-8) were evaluated. Results: Between August and September 2021, 147 eyes of 77 subjects were included in the three study groups. At day 28, the CS scores at 18 cycles per degree, spatial frequencies, and the mean NIBUT scores at 4, 8, and 12 h were higher in the verofilcon A group compared to the nesofilcon A and at 12 h were higher compared to the senofilcon A (p < 0.05). The mean HoAs and CLDEQ-8 test scores were higher in the nesofilcon A group (p < 0.001). Conclusion: The results of this study suggest the superiority of the PLTF stabilization ability of verofilcon A in healthcare professionals with prolonged use of mask. The improved CS and NIBUT scores of this lens could be explained by a new and unique surface technology with greater than 80% water content.

ULN: An efficient face recognition method for person wearing a mask.

Although the face recognition has advanced by leaps and bounds in recent years, recognizing faces with large occlusion, e.g., masks, is still a challenging problem. In the context of the COVID-19 outbreak, wearing masks becomes mandatory, which fails numerous face attendance and surveillance systems. Therefore, a robust face recognition algorithm that can deal with facial masks is urgently needed. To build a mask-robust face recognition algorithm, we first generate numerous facial images with masks based on public face datasets, which obviously alleviates the problem of the training data shortage. Second, we propose a novel network architecture called Upper-Lower Network (ULN) to recognize the faces with masks efficiently. The upper branch of ULN with the mask-free images as input is pretrained that provides supervisory information for the training of the lower branch. Considering that the occlusion areas of masks usually appear in the lower parts of faces, we further divide the high-order semantic features into upper and lower parts. The designed loss function force the learned features of the lower branch similar to those of the upper branch with the same mask-free image inputs, but only the upper part of features similar to the mask counterparts. Extensive experiments demonstrate that the proposed method is effective for recognizing persons with masks and outperforms other state-of-the-art face recognition methods.

Season- and facial site-specific skin changes due to long-term mask wearing during the COVID-19 pandemic.

BACKGROUND: As people have regularly worn facial masks due to the coronavirus disease 2019 (COVID-19) pandemic, mask-wear-related adverse effects on the skin have been recognized. The aim of this study was to explore skin changes, their seasonal variations in the general population caused by commonly used masks and a possible mechanism underlying negative effects of mask-wearing. MATERIALS AND METHODS: Eighteen Japanese females participated in the study during summer and winter in Japan. Skin characteristics were measured in the non-mask-wearing preauricular area and the mask-wearing cheek and perioral areas. RESULTS: Trans-epidermal water loss (TEWL) on the cheek area tended to be increased in winter, which was positively correlated with skin scaliness on the same area. Ceramide (CER) content and composition in the mask-covered stratum corneum (SC) were slightly changed between summer and winter, and CER [NP]/[NS] ratio was negatively correlated with the TEWL on the perioral skin in winter. Skin hydration and sebum secretion were higher on the cheek compared to the perioral area in summer. Skin redness was particularly high on the cheek in winter. CONCLUSION: Mask-wear-related skin changes were season- and facial site-specific, and alterations in SC CER may play a role in barrier-related skin problems caused by mask use.

Emotion Recognition for Partial Faces Using a Feature Vector Technique.

Wearing a facial mask is indispensable in the COVID-19 pandemic; however, it has tremendous effects on the performance of existing facial emotion recognition approaches. In this paper, we propose a feature vector technique comprising three main steps to recognize emotions from facial mask images. First, a synthetic mask is used to cover the facial input image. With only the upper part of the image showing, and including only the eyes, eyebrows, a portion of the bridge of the nose, and the forehead, the boundary and regional representation technique is applied. Second, a feature extraction technique based on our proposed rapid landmark detection method employing the infinity shape is utilized to flexibly extract a set of feature vectors that can effectively indicate the characteristics of the partially occluded masked face. Finally, those features, including the location of the detected landmarks and the Histograms of the Oriented Gradients, are brought into the classification process by adopting CNN and LSTM; the experimental results are then evaluated using images from the CK+ and RAF-DB data sets. As the result, our proposed method outperforms existing cutting-edge approaches and demonstrates better performance, achieving 99.30% and 95.58% accuracy on CK+ and RAF-DB, respectively.