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19 pages, 7937 KiB  
Article
Exploring the Benefits of Herbal Medicine Composite 5 (HRMC5) for Skin Health Enhancement
by Rira Ha, Won Kyong Cho, Euihyun Kim, Sung Joo Jang, Ju-Duck Kim, Chang-Geun Yi and Sang Hyun Moh
Curr. Issues Mol. Biol. 2024, 46(11), 12133-12151; https://doi.org/10.3390/cimb46110720 - 29 Oct 2024
Viewed by 556
Abstract
The skin, as the body’s largest organ, is vital for protecting against environmental stressors, regulating temperature, and preventing water loss. Here, we examined the potential of a mixture of five traditional Korean herbal extracts—Cimicifuga racemosa, Paeonia lactiflora, Phellodendron amurense, [...] Read more.
The skin, as the body’s largest organ, is vital for protecting against environmental stressors, regulating temperature, and preventing water loss. Here, we examined the potential of a mixture of five traditional Korean herbal extracts—Cimicifuga racemosa, Paeonia lactiflora, Phellodendron amurense, Rheum rhaponticum, and Scutellaria baicalensis—referred to as herbal medicine composite 5 (HRMC5) for enhancing skin health and managing menopausal symptoms. High-performance liquid chromatography identified 14 bioactive compounds, including flavonoids, phenolic acids, anthraquinones, and alkaloids. In vitro studies revealed an optimal concentration of 0.625 g/L for cell survival and UV protection, with the mixture demonstrating significant wound-healing properties comparable to epidermal growth factor. HRMC5 exhibited anti-inflammatory effects by downregulating COX2 expression and upregulating the key skin barrier proteins. A 4-week clinical trial involving 20 postmenopausal women showed significant improvements in skin redness, hemoglobin concentration, and skin moisture content. Visual analog scale assessments indicated substantial reductions in facial flushing severity and the associated sweating. The topical application of HRMC5 cream offered potential advantages over ingested phytoestrogens by reducing the systemic side effects. These findings suggest that HRMC5 is a promising non-invasive treatment for vasomotor symptoms in menopausal women and overall skin health, warranting further research on its long-term efficacy and safety in larger populations. Full article
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<p>HPLC analysis of a mixture of five traditional Korean herbal medicine extracts, collectively referred to as HRMC5. (<b>A</b>) Chromatograms of the extract at different wavelengths (210, 254, 280, 330, 360, and 420 nm). (<b>B</b>) Overlay chromatogram of the extract, showing peaks corresponding to 14 identified compounds.</p>
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<p>Effects of HRMC5 on cell survival and UV protection. (<b>A</b>) Survival rate of cells treated with different concentrations of herbal medicine extract. (<b>B</b>) Survival rate of cells treated with herbal medicine extract after UV exposure. Sterile water was utilized as the control while absolute ethanol 1% was used as the positive control (PC). The statistical significance indicators (*, **, and ***) are based on the specified levels (0.05, 0.01, and 0.001), respectively.</p>
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<p>Effect of HRMC5 on wound healing. (<b>A</b>) Microscopic images showing the wound-healing process at different time points and under different treatment conditions. Control T0: untreated control at 0 h after scratch. Control T18: untreated control at 18 h after scratch. EGF: positive control treated with epidermal growth factor (100 ng/mL). HRMC5: experimental group treated with a mixture of five herbal medicine extract compounds (0.625 g/L). (<b>B</b>) The percentage of healed area after 18 h of culture for different treatment groups. Statistical significance was determined using ANOVA followed by Tukey’s post-hoc test. *** <span class="html-italic">p</span> &lt; 0.001 compared to control.</p>
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<p>Effect of HRMC5 on <span class="html-italic">COX2</span>, <span class="html-italic">Filaggrin</span>, and <span class="html-italic">Claudin 1</span> gene expression. (<b>A</b>) The relative expression of <span class="html-italic">COX2</span>, an inflammatory marker, in various treatment groups. The control group received no treatment, while the UV group was exposed to ultraviolet radiation only. The positive control group was treated with dexamethasone (DEX), a known anti-inflammatory agent. The experimental group was treated with HRMC5. (<b>B</b>) The relative expression of <span class="html-italic">Filaggrin</span> encoding a skin barrier protein, in different treatment groups. The control group received no treatment, while the experimental group was treated with HRMC5. (<b>C</b>) The relative expression of <span class="html-italic">Claudin 1</span> encoding another skin barrier protein, in various treatment groups. The control group received no treatment, while the experimental group was treated with HRMC5. Statistical significance was determined using ANOVA followed by Tukey’s post-hoc test. *** <span class="html-italic">p</span> &lt; 0.001 compared to control.</p>
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<p>Effect of HRMC5 on skin barrier proteins. (<b>A</b>–<b>D</b>) Left panels: representative immunofluorescence staining images of (<b>A</b>) Involucrin, (<b>B</b>) Filaggrin, (<b>C</b>) Claudin 1 (all green), and (<b>D</b>) Collagen Type 1 (red) in keratinocytes treated with different concentrations of C5 or positive control (1% Glyceryl glucoside). DAPI (blue) stains cell nuclei. Right panels: quantification of protein expression relative to the control group for (<b>A</b>) Involucrin, (<b>B</b>) Filaggrin, (<b>C</b>) Claudin 1, and (<b>D</b>) Collagen Type 1. Statistical significance was determined using ANOVA followed by Tukey’s post-hoc test. Different letters indicated significant difference between groups (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effects of HRMC5-containing cream on various skin parameters over 4 weeks of use. HRMC5-containing cream was applied to participants, and individual skin parameters were examined at baseline, 2 weeks, and 4 weeks after initiating product use. (<b>A</b>) Quantitative analysis of skin redness reduction over time. (<b>B</b>) Representative images demonstrating visible reduction in skin redness at baseline, 2 weeks, and 4 weeks. (<b>C</b>) Graph showing the decrease in hemoglobin concentration in the skin over the study period. (<b>D</b>) Representative images illustrating the reduction in hemoglobin concentration at baseline, 2 weeks, and 4 weeks. (<b>E</b>) Quantitative assessment of hemoglobin distribution evenness improvement. (<b>F</b>) Representative images showing the progression of hemoglobin distribution evenness at baseline, 2 weeks, and 4 weeks. (<b>G</b>) Graph depicting the increase in skin moisture content over time. (<b>H</b>) Representative images illustrating improved skin hydration at baseline, 2 weeks, and 4 weeks. (<b>I</b>) Quantitative analysis of facial flushing severity reduction throughout the study period. (<b>J</b>) Graph showing the decrease in sweating intensity over the course of the study. All data are presented as mean ± standard deviation (n = 20). * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, and *** <span class="html-italic">p</span> &lt; 0.001 compared to the baseline measurements (before product use).</p>
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19 pages, 925 KiB  
Article
Tyrosinase Inhibitory Activity of Crude Procyanidin Extract from Green Soybean Seed and the Stability of Bioactive Compounds in an Anti-Aging Skin Care Formulation
by Kanyarat Pohntadavit, Suwit Duangmano, Mallika Osiriphan, Noppol Leksawasdi, Charin Techapun, Nutsuda Sumonsiri, Sarana Rose Sommano, Pornchai Rachtanapun, Rojarej Nunta and Julaluk Khemacheewakul
Cosmetics 2024, 11(5), 178; https://doi.org/10.3390/cosmetics11050178 - 8 Oct 2024
Viewed by 1058
Abstract
Green soybean (Glycine max L.) seed contains a high procyanidin content and high antioxidant activity. Moreover, ultrasound-assisted extraction (UAE) has proved to be advantageous in providing high extraction efficiency. Hence, this study aimed to extract procyanidins from green soybean seeds (GSSs) using [...] Read more.
Green soybean (Glycine max L.) seed contains a high procyanidin content and high antioxidant activity. Moreover, ultrasound-assisted extraction (UAE) has proved to be advantageous in providing high extraction efficiency. Hence, this study aimed to extract procyanidins from green soybean seeds (GSSs) using UAE. This study also evaluated the inhibitory activities of tyrosinase and the cytotoxic effects of crude procyanidin extract. The extract exhibited maximum levels of bioactive components and antioxidant capacity when subjected to a temperature of 15 °C and an extraction time of 20 min. The crude procyanidin extract at a concentration of 10 mg/mL inhibited the tyrosinase enzyme by more than 60%, and the half-maximal inhibitory concentration (IC50) value obtained for the extract was 6.85 ± 0.81 mg/mL. This result was much greater than the IC50 value obtained for kojic acid (0.089 ± 0.08 mg/mL), which was used as a positive control. For the cytotoxicity assessment, the results indicated that the crude procyanidin extract showed no cytotoxicity and actually stimulated the growth of human skin fibroblast cells. More than 80% of the bioactive compounds (total phenolic content (TPC), total flavonoid content (TFC), procyanidin content (PC)) and antioxidant activities (DPPH and FRAP) of the crude extract powder were retained at 38.68 ± 0.01 mg GAE/g, 16.07 ± 0.01 mg CAE/g, 9.24 ± 0.01 mg PC/g, 359.8 ± 0.72 μM Trolox eq/g, and 1640 ± 2.86 μM Trolox eq/g, respectively, after 12 weeks of storage at 25 °C. The crude procyanidin extract powder was then included in a facial serum formulation and tested for pH value and physical evaluation. The stability of the crude procyanidin extract facial serum was shown to be greater for bioactive compounds and antioxidant activity when stored at a temperature of 4 °C than when stored at a temperature of 25 °C. These results suggest that the GSS extracts obtained via ultrasonication show promise for use in cosmeceutical formulations for whitening skincare products. Full article
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<p>The tyrosinase inhibition effects of aqueous crude procyanidin extract, procyanidin standard, and kojic acid. The data are shown as the mean ± standard deviation (SD) derived from three independent experiments (<span class="html-italic">n</span> = 3) (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Cytotoxicity of the crude procyanidin extract at various concentrations against human skin fibroblasts. BJ cells were treated with crude procyanidin extract at a final concentration ranging from 0.125 to 2 mg/mL for 24, 48, and 72 h. Cell viability was determined via the MTT assay. The percentage of cell survival was calculated by defining the absorption of cells without crude procyanidin extract treatment as 100%. The data are expressed as the mean ± SD.</p>
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14 pages, 4953 KiB  
Article
Alpha-Bisabolol-Loaded Cosmetic Micellar Solution with Cleansing and Antimicrobial Action for Facial Skin Hygiene
by Nadezhda Ivanova, Neli Ermenlieva and Velichka Andonova
Cosmetics 2024, 11(5), 173; https://doi.org/10.3390/cosmetics11050173 - 1 Oct 2024
Viewed by 1449
Abstract
The current research is focused on the discovery and optimization of an effective cosmetic carrier of alpha-bisabolol as a first step in the development of a cosmetic product with cleansing and antimicrobial action for facial skin hygiene. A micellar solution of Poloxamer 407 [...] Read more.
The current research is focused on the discovery and optimization of an effective cosmetic carrier of alpha-bisabolol as a first step in the development of a cosmetic product with cleansing and antimicrobial action for facial skin hygiene. A micellar solution of Poloxamer 407 was selected as a cosmetic base because of the good washing ability, easy application, and high tolerability of this polymeric surfactant. The solubilization capacity of a 5% micellar solution with respect to α-bisabolol was investigated by applying varying solubilization techniques and increasing concentrations of the oily active substance. The test samples were subjected to an accelerated physical stability test, viscosimetry, dynamic light scattering (DLS), electrophoretic light scattering (ELS), foamability test, and antimicrobial screening. Over the course of this research, the advantage of the film-hydration method over direct solubilization was demonstrated by the narrower size distribution and smaller hydrodynamic size of the micellar nano-carriers (ranging from 29.02 to 116.5 nm) and the respective higher physical stability of the dispersions. The optimized composition was found to be suitable for application on large skin areas in terms of viscosity in the temperature range from 20 °C to 40 °C (3.4–2.3 mPa.s). Preservation of the washing capacity of the micellar solution in the presence of solubilized α-bisabolol was established. The active composition demonstrated inhibitory activity against Staphylococcus aureus and Escherichia coli and fungicidal activity against Candida albicans. This study concludes that the optimal concentration of α-bisabolol to be solubilized in a 5% Poloxamer 407 micellar solution by the film-hydration technique is 1%, considering the desirable physical endurance and antimicrobial activity. Full article
(This article belongs to the Special Issue Nanotechnology Advances in Cosmetics)
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<p>Principles of direct solubilization (DS) and solubilization via film hydration (FH).</p>
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<p>Visual appearance of the bisabolol-loaded test samples.</p>
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<p>Centrifugation-induced creaming (pointed out with red arrows) by samples DS-10, DS-15, and FH-15, and stability (no creaming) by sample FH-10.</p>
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<p>Size distribution by intensity of DS-5 (<b>A</b>) before and (<b>B</b>) after the accelerated stability test.</p>
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<p>Size distribution by intensity of FH-5 (<b>A</b>) before and (<b>B</b>) after the accelerated stability test.</p>
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<p>Size distribution by intensity of DS-10 (<b>A</b>) before and (<b>B</b>) after the accelerated stability test.</p>
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<p>Size distribution by intensity of FH-10 (<b>A</b>) before and (<b>B</b>) after the accelerated stability test.</p>
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<p>Size distribution by intensity of DS-15 (<b>A</b>) before and (<b>B</b>) after the accelerated stability test.</p>
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<p>Size distribution by intensity of FH-15 (<b>A</b>) before and (<b>B</b>) after the accelerated stability test.</p>
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<p>Foamability and foam stability of free and bisabolol-loaded micellar solutions.</p>
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<p>Temperature–viscosity curves of the reference Poloxamer 5% solution (B-5) and the optimized bisabolol-loaded sample FH-10.</p>
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<p>(<b>A</b>) Microbicidal activity of bisabolol; (<b>B</b>) zones of inhibition of bisabolol.</p>
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19 pages, 2868 KiB  
Article
Retinol and Oligopeptide-Loaded Lipid Nanocarriers as Effective Raw Material in Anti-Acne and Anti-Aging Therapies
by Małgorzata Pawłowska, Marta Marzec, Waldemar Jankowiak and Izabela Nowak
Life 2024, 14(10), 1212; https://doi.org/10.3390/life14101212 - 24 Sep 2024
Viewed by 888
Abstract
The use of lipid nanocarriers as components of cosmetic formulations may provide an opportunity to fully exploit the beneficial properties of pentapeptide-18 and retinol while reducing the undesirable effects that occur during retinoid therapy. This study aimed to evaluate the effectiveness of semi-solid [...] Read more.
The use of lipid nanocarriers as components of cosmetic formulations may provide an opportunity to fully exploit the beneficial properties of pentapeptide-18 and retinol while reducing the undesirable effects that occur during retinoid therapy. This study aimed to evaluate the effectiveness of semi-solid formulations enriched with retinol and oligopeptide-loaded lipid nanocarriers. Solid lipid nanoparticles were produced using a high-shear homogenization method. The work included physicochemical characterization of the cosmetic products, and evaluation of their stability as well as their efficacy. The resulting semi-solid preparations were determined to be stable regardless of their storage temperature. No effect of the presence of lipid nanoparticles on the shelf-life stability of the cosmetic products was observed. A temperature of 25 °C was considered the recommended storage temperature for the tested semi-solid formulations. Beneficial effects of the cosmetic products were proven (in vivo study on volunteers), i.e., a significant reduction in the level of sebum secretion (anti-acne therapy) and a decrease in the number of facial wrinkles (anti-aging therapy). In addition, the protective properties of the lipid nanoparticles themselves against the skin were confirmed, reducing the irritating effect of retinol that is usually the case with classic retinoid therapies. Full article
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<p><b>A</b> step-by-step scheme for production of lipid nanoparticles.</p>
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<p>Changes in pH of the cosmetic formulations stored under various temperature conditions (4, 25, 45 °C) for 60 days.</p>
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<p>Changes in the Turbiscan Stability Index of the cosmetic formulations ((<b>a</b>) AAN; (<b>b</b>) AAB; (<b>c</b>) ACN; (<b>d</b>) ACB) stored under various temperature conditions (4, 25, 45 °C) for 60 days.</p>
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<p>Changes in intensity of the backscattering light for ACN stored at 45 °C for 60 days.</p>
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<p>Changes in intensity of the backscattering light for ACB stored at 45 °C for 60 days.</p>
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<p>Changes in intensity of the backscattering light for AAN stored at 25 °C for 60 days.</p>
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<p>Changes in intensity of the backscattering light for AAB stored at 4 °C for 60 days.</p>
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<p>Changes in skin hydration (<b>a</b>) and transepidermal water loss (<b>b</b>) determined for the anti-aging (AA) cosmetic formulations during in vivo studies.</p>
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<p>Changes in skin hydration (<b>a</b>) and transepidermal water loss (<b>b</b>) determined for the anti-acne (AC) cosmetic formulations during in vivo studies.</p>
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<p>Changes in skin elasticity determined for the anti-aging (AA) cosmetic formulations during in vivo studies.</p>
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<p>Changes in sebum level determined for the anti-acne (AC) cosmetic formulations during in vivo studies.</p>
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<p>Changes in skin macrorelief parameters determined for the anti-aging (AA) cosmetic formulations (forehead and eye area) during in vivo studies (8 weeks).</p>
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16 pages, 6270 KiB  
Article
C/Co3O4/Diatomite Composite for Microwave Absorption
by Yan Liao, Dashuang Wang, Wenrui Zhu, Zhilan Du, Fanbo Gong, Tuo Ping, Jinsong Rao, Yuxin Zhang and Xiaoying Liu
Molecules 2024, 29(18), 4336; https://doi.org/10.3390/molecules29184336 - 12 Sep 2024
Viewed by 700
Abstract
Transition metal oxides have been widely used in microwave-absorbing materials, but how to improve impedance matching is still an urgent problem. Therefore, we introduced urea as a polymer carbon source into a three-dimensional porous structure modified by Co3O4 nanoparticles and [...] Read more.
Transition metal oxides have been widely used in microwave-absorbing materials, but how to improve impedance matching is still an urgent problem. Therefore, we introduced urea as a polymer carbon source into a three-dimensional porous structure modified by Co3O4 nanoparticles and explored the influence of different heat treatment temperatures on the wave absorption properties of the composite. The nanomaterials, when calcined at a temperature of 450 °C, exhibited excellent microwave absorption capabilities. Specifically, at an optimized thickness of 9 mm, they achieved a minimum reflection loss (RLmin) of −97.3 dB, accompanied by an effective absorption bandwidth (EAB) of 9.83 GHz that comprehensively covered both the S and Ku frequency bands. On the other hand, with a thickness of 3 mm, the RLmin was recorded as −17.9 dB, with an EAB of 5.53 GHz. This excellent performance is attributed to the multi-facial polarization and multiple reflections induced by the magnetic loss capability of Co3O4 nanoparticles, the electrical conductivity of C, and the unique three-dimensional structure of diatomite. For the future development of bio-based microwave absorption, this work provides a methodology and strategy. Full article
(This article belongs to the Special Issue Functional Nanomaterials in Green Chemistry, 2nd Edition)
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<p>(<b>a</b>–<b>c</b>) SEM images of C/Co<sub>3</sub>O<sub>4</sub>/De-300, (<b>d</b>–<b>f</b>) C/Co<sub>3</sub>O<sub>4</sub>/De-450, and (<b>g</b>–<b>i</b>) C/Co<sub>3</sub>O<sub>4</sub>/De-600; (<b>j</b>–<b>l</b>) TEM images of C/Co<sub>3</sub>O<sub>4</sub>/De-600; and (<b>m</b>–<b>p</b>) HAADF-EDS element mapping images of Co, C, Si, and O of C/Co<sub>3</sub>O<sub>4</sub>/De-450.</p>
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<p>(<b>a</b>) XRD patterns and (<b>b</b>) XPS spectra of full survey scan, (<b>c</b>) C 1s spectrum, (<b>d</b>) Co 2p spectrum, (<b>e</b>) O 1s spectrum, and (<b>f</b>) N 1s spectrum of C/Co<sub>3</sub>O<sub>4</sub>/De-450.</p>
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<p>(<b>a</b>) FTIR spectra, (<b>b</b>) TGA, and (<b>c</b>) magnetic hysteresis loops for C/Co<sub>3</sub>O<sub>4</sub>/De-300, C/Co<sub>3</sub>O<sub>4</sub>/De-450, and C/Co<sub>3</sub>O<sub>4</sub>/De-600.</p>
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<p>(<b>a</b>) Real part of permittivity, (<b>b</b>) imaginary part of permittivity, and (<b>c</b>) dielectric loss tangent plots of all the samples; (<b>d</b>) real part of permeability, (<b>e</b>) imaginary part of permeability, and (<b>f</b>) dielectric loss tangent plots of all samples.</p>
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<p>(<b>a</b>) Cole–Cole plots of C/Co<sub>3</sub>O<sub>4</sub>/De-300, (<b>b</b>) C/Co<sub>3</sub>O<sub>4</sub>/De-450, (<b>c</b>) C/Co<sub>3</sub>O<sub>4</sub>/De-600; plots of (<b>d</b>) impedance matching, (<b>e</b>) attenuation constants, and (<b>f</b>) eddy current loss of all the samples.</p>
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<p>A 3D loss diagram, contour plot of RL with thickness and frequency (S, C, X and Ku bands), and frequency–loss 1D diagram of (<b>a</b>–<b>d</b>) C/Co<sub>3</sub>O<sub>4</sub>/De-300, (<b>e</b>–<b>h</b>) C/Co<sub>3</sub>O<sub>4</sub>/De-450, and (<b>i</b>–<b>l</b>) C/Co<sub>3</sub>O<sub>4</sub>/De-600.</p>
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<p>Schematic representation of EMW absorption diagram for C/Co<sub>3</sub>O<sub>4</sub>/De-450 composite.</p>
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<p>The CST simulation results for (<b>a</b>) C/Co<sub>3</sub>O<sub>4</sub>/De-300, (<b>b</b>) C/Co<sub>3</sub>O<sub>4</sub>/De-450, (<b>c</b>) C/Co<sub>3</sub>O<sub>4</sub>/De-600. (<b>d</b>) The simulated RCS curves of the PEC and C/Co<sub>3</sub>O<sub>4</sub>/De at a scattering angle of 0–180°. (<b>e</b>) The RCS reduction values (the RCS values of PEC minus that of the samples) for all the samples.</p>
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<p>The synthesis process of C/Co<sub>3</sub>O<sub>4</sub>/De.</p>
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15 pages, 13689 KiB  
Article
Impact of Changing Inlet Modes in Ski Face Masks on Adolescent Skiing: A Finite Element Analysis Based on Head Models
by Minxin Huang, Ruiqiu Zhang and Xiaocheng Zhang
Modelling 2024, 5(3), 936-950; https://doi.org/10.3390/modelling5030049 - 14 Aug 2024
Viewed by 662
Abstract
Due to the material properties of current ski face masks for adolescents, moisture in exhaled air can become trapped within the material fibers and freeze, leading to potential issues such as breathing difficulties and increased risk of facial frostbite after prolonged skiing. This [...] Read more.
Due to the material properties of current ski face masks for adolescents, moisture in exhaled air can become trapped within the material fibers and freeze, leading to potential issues such as breathing difficulties and increased risk of facial frostbite after prolonged skiing. This paper proposes a research approach combining computational fluid dynamics (CFD) and ergonomics to address these issues and enhance the comfort of adolescent skiers. We developed head and face mask models based on the head dimensions of 15–17-year-old males. For enclosed cavities, ensuring the smooth expulsion of exhaled air to prevent re-inhalation is the primary challenge. Through fluid simulation of airflow characteristics within the cavity, we evaluated three different inlet configurations. The results indicate that the location of the air inlets significantly affects the airflow characteristics within the cavity. The side inlet design (type II) showed an average face temperature of 35.35 °C, a 38.5% reduction in average CO2 concentration within the cavity, and a smaller vortex area compared to the other two inlet configurations. Although the difference in airflow velocity within the cavity among the three configurations was minimal, the average exit velocity differed by up to 0.11 m/s. Thus, we conclude that the side inlet configuration offers minimal obstruction to airflow circulation and better thermal insulation when used in the design of fully enclosed helmets. This enhances the safety and comfort of adolescent wearers during physical activities in cold environments. Through this study, we aim to further promote the development of skiing education, enhance the overall quality of adolescents’ skiing, and thus provide them with more opportunities for the future. Full article
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<p>RUROC RG1-DX adult ski helmet (airflow mechanism).</p>
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<p>Ski face protection design, ventilation mode, and size.</p>
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<p>(<b>a</b>) Fine modeling size of underage man’s nose (nasal length/depth/height); (<b>b</b>) nasal breadth; (<b>c</b>) anterior nostril opening angle/diffusion angle; (<b>d</b>) nose opening angle/diffusion angle.</p>
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<p>CO<sub>2</sub> distribution in different intake modes.</p>
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<p>(<b>a</b>) Vorticity research slice position; (<b>b</b>) velocity and temperature research section position.</p>
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<p>Total vorticity of 5 cross-slices.</p>
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<p>(<b>a</b>) The point of velocity and temperature section; (<b>b</b>) the analysis area division of ski face protection.</p>
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<p>(<b>a</b>) Temperatures of different air intake modes in the cavity; (<b>b</b>) velocities of different air intake modes in the cavity; (<b>c</b>) average velocity and temperature at the outlet.</p>
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29 pages, 3690 KiB  
Systematic Review
Systematic Review of Platelet-Rich Plasma in Medical and Surgical Specialties: Quality, Evaluation, Evidence, and Enforcement
by Eqram Rahman, Parinitha Rao, Hany Niamey Abu-Farsakh, Chirag Thonse, Imran Ali, Alice E. Upton, Shwetha Y. Baratikkae, Jean D. A. Carruthers, Ash Mosahebi, Nima Heidari and William Richard Webb
J. Clin. Med. 2024, 13(15), 4571; https://doi.org/10.3390/jcm13154571 - 5 Aug 2024
Viewed by 2928
Abstract
Background: Platelet-rich plasma (PRP) is widely used in various medical and surgical specialties for its regenerative properties, including aesthetics (facial rejuvenation, hair restoration, and skin tightening) and orthopedics (treatment of tendinitis and osteoarthritis). However, the inconsistent literature on PRP’s efficacy and safety leads [...] Read more.
Background: Platelet-rich plasma (PRP) is widely used in various medical and surgical specialties for its regenerative properties, including aesthetics (facial rejuvenation, hair restoration, and skin tightening) and orthopedics (treatment of tendinitis and osteoarthritis). However, the inconsistent literature on PRP’s efficacy and safety leads to critical knowledge gaps. This systematic review evaluates quality control measures in PRP preparation and application and explores the regulatory environment governing its clinical use. Methods: Following PRISMA guidelines, a comprehensive search was conducted across multiple databases, including PubMed, EMBASE, and Web of Science, for studies published from January 2020 to April 2024. The review included randomized controlled trials (RCTs) involving human participants undergoing PRP treatment for aesthetic or regenerative purposes. Key parameters such as the PRP preparation methods, platelet concentration, and quality control measures were analyzed. The study protocol was registered with PROSPERO (ID: CRD42024557669). Results: Out of 75 RCTs involving 5726 patients, the review identified significant variability in PRP preparation methods and application techniques, including differences in centrifugation protocols and platelet concentration levels. A new evidence-based scoring system, the William–Eqram Scoring System for PRP Quality Reporting (WESS-PQR), was proposed to address these inconsistencies. Correlation analysis revealed a strong positive correlation (r = 0.79) between proper temperature control during preparation and PRP efficacy. Initial platelet count assessment showed a moderate positive correlation (r = 0.57) with efficacy. Conclusions: Standardized PRP preparation protocols and robust regulatory frameworks are urgently needed to ensure the safety and efficacy of PRP treatments. The proposed WESS-PQR scoring system can serve as a valuable tool for clinicians and researchers, promoting consistency and reliability in PRP applications. Full article
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<p>PRISMA flow diagram. The PRISMA checklist has also been included as <a href="#app1-jcm-13-04571" class="html-app">Supplemental Material—S2</a> to ensure adherence to reporting guidelines.</p>
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<p>Risk of bias of the included studies (Traffic Light plot) [<a href="#B21-jcm-13-04571" class="html-bibr">21</a>,<a href="#B28-jcm-13-04571" class="html-bibr">28</a>,<a href="#B30-jcm-13-04571" class="html-bibr">30</a>,<a href="#B31-jcm-13-04571" class="html-bibr">31</a>,<a href="#B33-jcm-13-04571" class="html-bibr">33</a>,<a href="#B35-jcm-13-04571" class="html-bibr">35</a>,<a href="#B37-jcm-13-04571" class="html-bibr">37</a>,<a href="#B38-jcm-13-04571" class="html-bibr">38</a>,<a href="#B39-jcm-13-04571" class="html-bibr">39</a>,<a href="#B40-jcm-13-04571" class="html-bibr">40</a>,<a href="#B41-jcm-13-04571" class="html-bibr">41</a>,<a href="#B42-jcm-13-04571" class="html-bibr">42</a>,<a href="#B45-jcm-13-04571" class="html-bibr">45</a>,<a href="#B46-jcm-13-04571" class="html-bibr">46</a>,<a href="#B47-jcm-13-04571" class="html-bibr">47</a>,<a href="#B48-jcm-13-04571" class="html-bibr">48</a>,<a href="#B50-jcm-13-04571" class="html-bibr">50</a>,<a href="#B52-jcm-13-04571" class="html-bibr">52</a>,<a href="#B53-jcm-13-04571" class="html-bibr">53</a>,<a href="#B54-jcm-13-04571" class="html-bibr">54</a>,<a href="#B55-jcm-13-04571" class="html-bibr">55</a>,<a href="#B56-jcm-13-04571" class="html-bibr">56</a>,<a href="#B57-jcm-13-04571" class="html-bibr">57</a>,<a href="#B59-jcm-13-04571" class="html-bibr">59</a>,<a href="#B60-jcm-13-04571" class="html-bibr">60</a>,<a href="#B62-jcm-13-04571" class="html-bibr">62</a>,<a href="#B64-jcm-13-04571" class="html-bibr">64</a>,<a href="#B65-jcm-13-04571" class="html-bibr">65</a>,<a href="#B66-jcm-13-04571" class="html-bibr">66</a>,<a href="#B82-jcm-13-04571" class="html-bibr">82</a>,<a href="#B85-jcm-13-04571" class="html-bibr">85</a>,<a href="#B86-jcm-13-04571" class="html-bibr">86</a>,<a href="#B87-jcm-13-04571" class="html-bibr">87</a>,<a href="#B88-jcm-13-04571" class="html-bibr">88</a>,<a href="#B89-jcm-13-04571" class="html-bibr">89</a>,<a href="#B91-jcm-13-04571" class="html-bibr">91</a>,<a href="#B92-jcm-13-04571" class="html-bibr">92</a>,<a href="#B93-jcm-13-04571" class="html-bibr">93</a>,<a href="#B94-jcm-13-04571" class="html-bibr">94</a>,<a href="#B95-jcm-13-04571" class="html-bibr">95</a>,<a href="#B96-jcm-13-04571" class="html-bibr">96</a>,<a href="#B97-jcm-13-04571" class="html-bibr">97</a>,<a href="#B98-jcm-13-04571" class="html-bibr">98</a>,<a href="#B99-jcm-13-04571" class="html-bibr">99</a>,<a href="#B100-jcm-13-04571" class="html-bibr">100</a>,<a href="#B103-jcm-13-04571" class="html-bibr">103</a>,<a href="#B104-jcm-13-04571" class="html-bibr">104</a>,<a href="#B105-jcm-13-04571" class="html-bibr">105</a>,<a href="#B107-jcm-13-04571" class="html-bibr">107</a>,<a href="#B108-jcm-13-04571" class="html-bibr">108</a>,<a href="#B109-jcm-13-04571" class="html-bibr">109</a>,<a href="#B110-jcm-13-04571" class="html-bibr">110</a>,<a href="#B111-jcm-13-04571" class="html-bibr">111</a>,<a href="#B124-jcm-13-04571" class="html-bibr">124</a>,<a href="#B125-jcm-13-04571" class="html-bibr">125</a>,<a href="#B126-jcm-13-04571" class="html-bibr">126</a>,<a href="#B127-jcm-13-04571" class="html-bibr">127</a>,<a href="#B128-jcm-13-04571" class="html-bibr">128</a>,<a href="#B129-jcm-13-04571" class="html-bibr">129</a>,<a href="#B130-jcm-13-04571" class="html-bibr">130</a>,<a href="#B131-jcm-13-04571" class="html-bibr">131</a>,<a href="#B132-jcm-13-04571" class="html-bibr">132</a>,<a href="#B133-jcm-13-04571" class="html-bibr">133</a>,<a href="#B134-jcm-13-04571" class="html-bibr">134</a>,<a href="#B135-jcm-13-04571" class="html-bibr">135</a>,<a href="#B136-jcm-13-04571" class="html-bibr">136</a>,<a href="#B137-jcm-13-04571" class="html-bibr">137</a>,<a href="#B138-jcm-13-04571" class="html-bibr">138</a>,<a href="#B139-jcm-13-04571" class="html-bibr">139</a>,<a href="#B140-jcm-13-04571" class="html-bibr">140</a>,<a href="#B141-jcm-13-04571" class="html-bibr">141</a>,<a href="#B142-jcm-13-04571" class="html-bibr">142</a>,<a href="#B143-jcm-13-04571" class="html-bibr">143</a>,<a href="#B144-jcm-13-04571" class="html-bibr">144</a>].</p>
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<p>Summary of the Risk of bias.</p>
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<p>The assessment of the included studies using WESS-PQR [<a href="#B21-jcm-13-04571" class="html-bibr">21</a>,<a href="#B28-jcm-13-04571" class="html-bibr">28</a>,<a href="#B30-jcm-13-04571" class="html-bibr">30</a>,<a href="#B31-jcm-13-04571" class="html-bibr">31</a>,<a href="#B33-jcm-13-04571" class="html-bibr">33</a>,<a href="#B35-jcm-13-04571" class="html-bibr">35</a>,<a href="#B37-jcm-13-04571" class="html-bibr">37</a>,<a href="#B38-jcm-13-04571" class="html-bibr">38</a>,<a href="#B39-jcm-13-04571" class="html-bibr">39</a>,<a href="#B40-jcm-13-04571" class="html-bibr">40</a>,<a href="#B41-jcm-13-04571" class="html-bibr">41</a>,<a href="#B42-jcm-13-04571" class="html-bibr">42</a>,<a href="#B45-jcm-13-04571" class="html-bibr">45</a>,<a href="#B46-jcm-13-04571" class="html-bibr">46</a>,<a href="#B47-jcm-13-04571" class="html-bibr">47</a>,<a href="#B48-jcm-13-04571" class="html-bibr">48</a>,<a href="#B50-jcm-13-04571" class="html-bibr">50</a>,<a href="#B52-jcm-13-04571" class="html-bibr">52</a>,<a href="#B53-jcm-13-04571" class="html-bibr">53</a>,<a href="#B54-jcm-13-04571" class="html-bibr">54</a>,<a href="#B55-jcm-13-04571" class="html-bibr">55</a>,<a href="#B56-jcm-13-04571" class="html-bibr">56</a>,<a href="#B57-jcm-13-04571" class="html-bibr">57</a>,<a href="#B59-jcm-13-04571" class="html-bibr">59</a>,<a href="#B60-jcm-13-04571" class="html-bibr">60</a>,<a href="#B62-jcm-13-04571" class="html-bibr">62</a>,<a href="#B64-jcm-13-04571" class="html-bibr">64</a>,<a href="#B65-jcm-13-04571" class="html-bibr">65</a>,<a href="#B66-jcm-13-04571" class="html-bibr">66</a>,<a href="#B82-jcm-13-04571" class="html-bibr">82</a>,<a href="#B85-jcm-13-04571" class="html-bibr">85</a>,<a href="#B86-jcm-13-04571" class="html-bibr">86</a>,<a href="#B87-jcm-13-04571" class="html-bibr">87</a>,<a href="#B88-jcm-13-04571" class="html-bibr">88</a>,<a href="#B89-jcm-13-04571" class="html-bibr">89</a>,<a href="#B91-jcm-13-04571" class="html-bibr">91</a>,<a href="#B92-jcm-13-04571" class="html-bibr">92</a>,<a href="#B93-jcm-13-04571" class="html-bibr">93</a>,<a href="#B94-jcm-13-04571" class="html-bibr">94</a>,<a href="#B95-jcm-13-04571" class="html-bibr">95</a>,<a href="#B96-jcm-13-04571" class="html-bibr">96</a>,<a href="#B97-jcm-13-04571" class="html-bibr">97</a>,<a href="#B98-jcm-13-04571" class="html-bibr">98</a>,<a href="#B99-jcm-13-04571" class="html-bibr">99</a>,<a href="#B100-jcm-13-04571" class="html-bibr">100</a>,<a href="#B103-jcm-13-04571" class="html-bibr">103</a>,<a href="#B104-jcm-13-04571" class="html-bibr">104</a>,<a href="#B105-jcm-13-04571" class="html-bibr">105</a>,<a href="#B107-jcm-13-04571" class="html-bibr">107</a>,<a href="#B108-jcm-13-04571" class="html-bibr">108</a>,<a href="#B109-jcm-13-04571" class="html-bibr">109</a>,<a href="#B110-jcm-13-04571" class="html-bibr">110</a>,<a href="#B111-jcm-13-04571" class="html-bibr">111</a>,<a href="#B124-jcm-13-04571" class="html-bibr">124</a>,<a href="#B125-jcm-13-04571" class="html-bibr">125</a>,<a href="#B126-jcm-13-04571" class="html-bibr">126</a>,<a href="#B127-jcm-13-04571" class="html-bibr">127</a>,<a href="#B128-jcm-13-04571" class="html-bibr">128</a>,<a href="#B129-jcm-13-04571" class="html-bibr">129</a>,<a href="#B130-jcm-13-04571" class="html-bibr">130</a>,<a href="#B131-jcm-13-04571" class="html-bibr">131</a>,<a href="#B132-jcm-13-04571" class="html-bibr">132</a>,<a href="#B133-jcm-13-04571" class="html-bibr">133</a>,<a href="#B134-jcm-13-04571" class="html-bibr">134</a>,<a href="#B135-jcm-13-04571" class="html-bibr">135</a>,<a href="#B136-jcm-13-04571" class="html-bibr">136</a>,<a href="#B137-jcm-13-04571" class="html-bibr">137</a>,<a href="#B138-jcm-13-04571" class="html-bibr">138</a>,<a href="#B139-jcm-13-04571" class="html-bibr">139</a>,<a href="#B140-jcm-13-04571" class="html-bibr">140</a>,<a href="#B141-jcm-13-04571" class="html-bibr">141</a>,<a href="#B142-jcm-13-04571" class="html-bibr">142</a>,<a href="#B143-jcm-13-04571" class="html-bibr">143</a>,<a href="#B144-jcm-13-04571" class="html-bibr">144</a>].</p>
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<p>Correlation matrix heatmap demonstrating a strong and statistically significant relationship between quality control measures and PRP efficacy.</p>
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<p>Infographics of the critical point on PRP preparation [<a href="#B3-jcm-13-04571" class="html-bibr">3</a>,<a href="#B152-jcm-13-04571" class="html-bibr">152</a>,<a href="#B153-jcm-13-04571" class="html-bibr">153</a>].</p>
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10 pages, 1739 KiB  
Article
Tuning the Coordination Environment of Ru(II) Complexes with a Tailored Acridine Ligand
by Ali Awada, Pierre-Henri Lanoë, Christian Philouze, Frédérique Loiseau and Damien Jouvenot
Molecules 2024, 29(15), 3468; https://doi.org/10.3390/molecules29153468 - 24 Jul 2024
Viewed by 786
Abstract
A novel tridentate ligand featuring an acridine core and pyrazole rings, namely 2,7- di-tert-butyl-4,5-di(pyrazol-1-yl)acridine, L, was designed and used to create two ruthenium(II) complexes: [RuL2](PF6)2 and [Ru(tpy)L](PF6)2. Surprisingly, [...] Read more.
A novel tridentate ligand featuring an acridine core and pyrazole rings, namely 2,7- di-tert-butyl-4,5-di(pyrazol-1-yl)acridine, L, was designed and used to create two ruthenium(II) complexes: [RuL2](PF6)2 and [Ru(tpy)L](PF6)2. Surprisingly, the ligand adopted different coordination modes in the complexes: facial coordination for the homoleptic complex and meridional coordination for the heteroleptic complex. The electronic absorption and electrochemical properties were evaluated. Although both complexes exhibited favorable electronic properties for luminescence, neither emitted light at room temperature nor at 77 K. This study highlights the complex interplay between ligand design, coordination mode, and luminescence in ruthenium(II) complexes. Full article
(This article belongs to the Special Issue Exclusive Feature Papers in Inorganic Chemistry, 2nd Edition)
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Graphical abstract

Graphical abstract
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<p>The assigned aromatic region of the <sup>1</sup>H-NMR spectra of the complex [Ru(<b>L</b>)<sub>2</sub>]<sup>2+</sup> (red top), ligand <b>L</b> (black middle), and complex [Ru(tpy)<b>L</b>]<sup>2+</sup> (blue bottom) recorded in acetone-<span class="html-italic">d</span><sub>6</sub> at 500 MHz. Signals with an asterisk indicate peaks attributable to the tpy ligand.</p>
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<p>Different projections of the crystal structure of the complex [Ru(<b>L</b>)<sub>2</sub>]<sup>2+</sup> (40% ellipsoids). Solvent molecules (co-crystallized acetone molecules), hydrogen atoms, and PF<sub>6</sub><sup>−</sup> counterions are omitted for clarity.</p>
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<p>Different projections of the crystal structure of the complex [Ru(tpy)<b>L</b>]<sup>2+</sup> (40% ellipsoids). Solvent molecules (co-crystallized acetone molecules), hydrogen atoms, and PF<sub>6</sub><sup>−</sup> counter anions are omitted for clarity.</p>
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<p>The UV–visible absorption spectra of [Ru(<b>L</b>)<sub>2</sub>]<sup>2+</sup> (red) and [Ru(tpy)<b>L</b>]<sup>2+</sup> (blue) recorded in an acetonitrile solution. Inset: zoom on the visible region of the spectra.</p>
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<p>Synthesis of ligand <b>L</b>.</p>
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<p>Syntheses of complexes [Ru<b>L</b><sub>2</sub>](PF<sub>6</sub>)<sub>2</sub> and [Ru(tpy)<b>L</b>](PF<sub>6</sub>)<sub>2</sub>.</p>
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16 pages, 1755 KiB  
Article
Predicting Sleep Quality through Biofeedback: A Machine Learning Approach Using Heart Rate Variability and Skin Temperature
by Andrea Di Credico, David Perpetuini, Pascal Izzicupo, Giulia Gaggi, Nicola Mammarella, Alberto Di Domenico, Rocco Palumbo, Pasquale La Malva, Daniela Cardone, Arcangelo Merla, Barbara Ghinassi and Angela Di Baldassarre
Clocks & Sleep 2024, 6(3), 322-337; https://doi.org/10.3390/clockssleep6030023 - 23 Jul 2024
Viewed by 1391
Abstract
Sleep quality (SQ) is a crucial aspect of overall health. Poor sleep quality may cause cognitive impairment, mood disturbances, and an increased risk of chronic diseases. Therefore, assessing sleep quality helps identify individuals at risk and develop effective interventions. SQ has been demonstrated [...] Read more.
Sleep quality (SQ) is a crucial aspect of overall health. Poor sleep quality may cause cognitive impairment, mood disturbances, and an increased risk of chronic diseases. Therefore, assessing sleep quality helps identify individuals at risk and develop effective interventions. SQ has been demonstrated to affect heart rate variability (HRV) and skin temperature even during wakefulness. In this perspective, using wearables and contactless technologies to continuously monitor HR and skin temperature is highly suited for assessing objective SQ. However, studies modeling the relationship linking HRV and skin temperature metrics evaluated during wakefulness to predict SQ are lacking. This study aims to develop machine learning models based on HRV and skin temperature that estimate SQ as assessed by the Pittsburgh Sleep Quality Index (PSQI). HRV was measured with a wearable sensor, and facial skin temperature was measured by infrared thermal imaging. Classification models based on unimodal and multimodal HRV and skin temperature were developed. A Support Vector Machine applied to multimodal HRV and skin temperature delivered the best classification accuracy, 83.4%. This study can pave the way for the employment of wearable and contactless technologies to monitor SQ for ergonomic applications. The proposed method significantly advances the field by achieving a higher classification accuracy than existing state-of-the-art methods. Our multimodal approach leverages the synergistic effects of HRV and skin temperature metrics, thus providing a more comprehensive assessment of SQ. Quantitative performance indicators, such as the 83.4% classification accuracy, underscore the robustness and potential of our method in accurately predicting sleep quality using non-intrusive measurements taken during wakefulness. Full article
(This article belongs to the Section Computational Models)
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Figure 1

Figure 1
<p>Schematics of the experimental procedures. (<b>A</b>) Thermogram of a representative participant showing the ROIs’ positions covering the glabella (G), nose tip (NT), and nostrils (N); skin temperature data and (<b>B</b>) HRV metrics were the two objective physiological signals obtained. Additionally, (<b>C</b>) sleep quality was subjectively assessed using the PSQI. (<b>D</b>) Machine learning using thermic and HRV data separately or in combination was used to estimate and (<b>E</b>) classify sleep categories. The image was created using <a href="http://BioRender.com" target="_blank">BioRender.com</a>.</p>
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<p>Confusion matrix graph visually representing the number of times the SVM algorithm correctly predicted the good-quality and poor-quality sleep groups using (<b>A</b>) HRV, (<b>B</b>) IRT, and (<b>C</b>) combined HRV and IRT metrics. Receiver operating characteristic curve graphs with computed area under the curve (AUC) show the difference performance obtained using (<b>D</b>) HRV, (<b>E</b>) IRT, or (<b>F</b>) combined HRV and IRT metrics as predictors.</p>
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<p>Histograms report HRV metrics in subjects with good and poor sleep quality as assessed by PSQI. (<b>A</b>) Mean heart rate; (<b>B</b>) Maximum heart rate; (<b>C</b>) Standard deviation of the heart rate; (<b>D</b>) Low-Frequency power expressed as log; (<b>E</b>) Very Low-Frequency power expressed as ms<sup>2</sup>; (<b>F</b>) Low-Frequency power expressed as ms<sup>2</sup>; (<b>G</b>) Low-Frequency/High-Frequency ratio expressed as ms<sup>2</sup>; (<b>H</b>) Low-Frequency power expressed as percentage; (<b>I</b>) High-Frequency power expressed as percentage; (<b>J</b>) High-Frequency power expressed as normalized units; (<b>K</b>) Low-Frequency power expressed as normalized units; (<b>L</b>) Standard deviation 2/Standard deviation 1 ratio of the Poincaré plot expressed as arbitrary units. An unpaired <span class="html-italic">t</span>-test was used to check for statistical differences. Data are reported as the mean and standard deviation. * <span class="html-italic">p</span> &lt; 0.05, VLF = very low frequency; LF = low frequency; LF/HF = ratio between low frequency and high frequency; GQ = good quality; PQ = poor quality.</p>
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<p>Histograms report IRT metrics in subjects with good and poor sleep quality as assessed by the PSQI. (<b>A</b>) Delta of temperature at the glabella; (<b>B</b>) Delta of temperature at the nose tip; (<b>C</b>) Delta of temperature at the nostrils; (<b>D</b>) Skewness of temperature at the nose tip; (<b>E</b>) Sample entropy at the nose tip; (<b>F</b>) Power spectrum density of the respiratory band at the glabella; (<b>G</b>) Power spectrum density of the myogenic band at the nose tip. An unpaired <span class="html-italic">t</span>-test was used to check for statistical differences. Data are reported as the mean and standard deviation. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01. SampEn = sample entropy; PSD = power spectrum density; RespBand = respiratory band; MyoBand = myogenic band.</p>
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12 pages, 6986 KiB  
Article
WO3 Nanoplates Decorated with Au and SnO2 Nanoparticles for Real-Time Detection of Foodborne Pathogens
by Xueyan Li, Zeyi Wu, Xiangyu Song, Denghua Li, Jiajia Liu and Jiatao Zhang
Nanomaterials 2024, 14(8), 719; https://doi.org/10.3390/nano14080719 - 19 Apr 2024
Cited by 2 | Viewed by 1371
Abstract
Nowadays, metal oxide semiconductor gas sensors have diverse applications ranging from human health to smart agriculture with the development of Internet of Things (IoT) technologies. However, high operating temperatures and an unsatisfactory detection capability (high sensitivity, fast response/recovery speed, etc.) hinder their integration [...] Read more.
Nowadays, metal oxide semiconductor gas sensors have diverse applications ranging from human health to smart agriculture with the development of Internet of Things (IoT) technologies. However, high operating temperatures and an unsatisfactory detection capability (high sensitivity, fast response/recovery speed, etc.) hinder their integration into the IoT. Herein, a ternary heterostructure was prepared by decorating WO3 nanoplates with Au and SnO2 nanoparticles through a facial photochemical deposition method. This was employed as a sensing material for 3-hydroxy-2-butanone (3H-2B), a biomarker of Listeria monocytogenes. These Au/SnO2–WO3 nanoplate-based sensors exhibited an excellent response (Ra/Rg = 662) to 25 ppm 3H-2B, which was 24 times higher than that of pure WO3 nanoplates at 140 °C. Moreover, the 3H-2B sensor showed an ultrafast response and recovery speed to 25 ppm 3H-2B as well as high selectivity. These excellent sensing performances could be attributed to the rich Au/SnO2–WO3 active interfaces and the excellent transport of carriers in nanoplates. Furthermore, a wireless portable gas sensor equipped with the Au/SnO2–WO3 nanoplates was assembled, which was tested using 3H-2B with known concentrations to study the possibilities of real-time gas monitoring in food quality and safety. Full article
(This article belongs to the Special Issue The Application of Nanosensors in Energy and Environment)
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Figure 1
<p>(<b>a</b>) The synthesis schematic of XAu/SnO<sub>2</sub>–WO<sub>3</sub> nanoplates. (<b>b</b>,<b>c</b>) HRTEM images. (<b>d</b>) HAADF−STEM image and corresponding EDS elemental mapping results of the 1Au/SnO<sub>2</sub>–WO<sub>3</sub> nanoplates.</p>
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<p>(<b>a</b>) XRD patterns of WO<sub>3</sub> nanoplates, Au–WO<sub>3</sub> nanoplates, SnO<sub>2</sub>–WO<sub>3</sub> nanoplates, and 1Au/SnO<sub>2</sub>–WO<sub>3</sub> nanoplates; XPS spectra of (<b>b</b>) W 4f, (<b>c</b>) Au 4f, (<b>d</b>) Sn 3d, and (<b>e</b>) O 1s; (<b>f</b>) EPR spectra of WO<sub>3</sub> and 1Au/SnO<sub>2</sub>–WO<sub>3</sub> nanoplates.</p>
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<p>(<b>a</b>) Response curves of WO<sub>3</sub> and XAu/SnO<sub>2</sub>–WO<sub>3</sub> nanoplate-based sensors to 25 ppm 3H-2B at different working temperatures. (<b>b</b>) Dynamic response and recovery curves of WO<sub>3</sub> and XAu/SnO<sub>2</sub>–WO<sub>3</sub> nanoplate-based sensors toward different concentrations (1.25, 2.5, 5, 10, 15, and 25 ppm) of 3H-2B at 140 °C. (<b>c</b>) Response curves of WO<sub>3</sub> and XAu/SnO<sub>2</sub>–WO<sub>3</sub> nanoplate-based sensors toward different concentrations of 3H-2B. (<b>d</b>,<b>e</b>) Dynamic response and recovery curves of WO<sub>3</sub> and XAu/SnO<sub>2</sub>–WO<sub>3</sub> nanoplate-based sensors toward 25 ppm 3H-2B. (<b>f</b>) Selectivity tests of WO<sub>3</sub> and XAu/SnO<sub>2</sub>–WO<sub>3</sub> nanoplate-based sensors toward different target gases.</p>
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<p>Schematic of the surface-sensing reaction of 1Au/SnO<sub>2</sub>–WO<sub>3</sub> nanoplates toward 3H-2B and the corresponding band diagram of the sensing mechanism.</p>
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<p>(<b>a</b>) Optical photograph of wireless portable sensor connected to a laptop via ZigBee. (<b>b</b>) Dynamic response and recovery curves displayed on the laptop when the portable sensor was exposed to 25 ppm 3H-2B.</p>
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10 pages, 1456 KiB  
Article
Infrared Thermography in Assessment of Facial Temperature of Racing Sighthound-Type Dogs in Different Environmental Conditions
by Anna Budny-Walczak, Martyna Wilk and Robert Kupczyński
Animals 2024, 14(8), 1180; https://doi.org/10.3390/ani14081180 - 14 Apr 2024
Viewed by 1272
Abstract
The aim of the study was to assess the usefulness of IRT measurements of selected regions of interest (ROI), i.e., the eyeball and the nose of whippet dogs, before and after coursing competitions taking place in various environmental conditions, thereby enabling the assessment [...] Read more.
The aim of the study was to assess the usefulness of IRT measurements of selected regions of interest (ROI), i.e., the eyeball and the nose of whippet dogs, before and after coursing competitions taking place in various environmental conditions, thereby enabling the assessment of well-being and the level of heat stress. The research was carried out over two different periods with different thermal humidity indexes (THIs). In the first period, the THI was 59.27 (Run 1), while in the second period, the THI was 63.77 (Run 2). The experimental subjects comprised 111 sighthound-type dogs—whippets—that were photographed with a thermal imaging camera to determine their eye temperature (ET) and nose temperature (NT). The average minimum and maximum eye temperatures were statistically lower after running in both measurements. Increased minimum and maximum nose temperatures were also demonstrated after both runs. The nasal temperature values were statistically higher for Run 2, for which the THI was higher, compared to Run 1. Eyeball temperature may be a marker of thermoregulation ability, regardless of the ambient temperature. The value of ETmax decreased on average by 2.23 °C and 0.4 °C, while NTmax increased uniformly by 2 °C after both runs. A correlation was found between the IRT measurements and physiological indicators. Full article
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Figure 1

Figure 1
<p>IRT image with marked ROI of observation of left eye (ET left), right eye (ET right), and nose (NT). Red dots are showing the maximal temperature, and blue dots are showing the minimal temperature of the marked regions.</p>
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<p>Spearman correlation matrix with r values from log2 fold change values of IRT parameters (ETmin and max, left and right—eye temperature; NTmin and max—nose temperature) and physiological parameters (BW—body weight, RT—rectal temperature, SpO<sub>2</sub>—oxygen saturation, PR—pulse rate, RR—respiratory rate). Legend is presented in the last line. The red color indicates a strong negative correlation, the blue color indicates a strong positive correlation, and the gray color indicates no correlation.</p>
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10 pages, 4094 KiB  
Case Report
Histological, Clinical Assessment, and Treatment of a Permanent Filler Complication in the Upper Lip: A Case Report with 16-Year Follow-Up
by Samuel Fiuza, Tiago Marques, Irving Padin, Maria Teresa Carvalho, Nelio Veiga, Juliana Campos Hasse Fernandes, Gustavo Vicentis Oliveira Fernandes and Patrícia Couto
Cosmetics 2024, 11(2), 50; https://doi.org/10.3390/cosmetics11020050 - 1 Apr 2024
Viewed by 2379
Abstract
There is a considerable increase in the use of substances and medical procedures aimed at changing the esthetics of the face, particularly the appearance of the lips. Permanent fillers such as polydimethylsiloxane, also called liquid silicone, are widely used, but their application for [...] Read more.
There is a considerable increase in the use of substances and medical procedures aimed at changing the esthetics of the face, particularly the appearance of the lips. Permanent fillers such as polydimethylsiloxane, also called liquid silicone, are widely used, but their application for facial esthetics is currently obsolete. Silicone belongs to this polymer family; its viscosity is determined by its degree of polymerization. Liquid injectable silicone is odorless, colorless, non-volatile, and oily to the touch. The substance is not altered by storage at room temperature and is not carcinogenic or teratogenic. However, the long-term complications remain a reality, as they can occur decades after the application. Thus, the goal of this case report was to present a complication after 16 years of treatment using liquid silicone. This case report involved a 52-year-old male with a complication of bilateral permanent filler in the upper lip performed 16 years ago, its surgical removal, and histological analysis. The patient had the first appointment at the University Dental Clinic—Universidade Católica Portuguesa (Viseu, Portugal) in April 2022, dissatisfied with his upper lip’s esthetic appearance and shape. He was not a smoker or diabetic but had hypertension and hypercholesterolemia and was medicated with Losartan, Hydrochlorothiazide, and Pitavastatin. No relevant findings were observed in the extraoral examination; he had bruxism and a good periodontal condition. The patient had an asymptomatic bilateral mass, hard to palpation, located on the upper lip due to permanent lip filling performed to increase its volume in 2006 associated with non-related generalized granules of Fordyce. The treatment options presented just observation or complete material removal in two surgical steps, which was the patient’s choice. Then, the first surgical procedure was performed under local anesthesia on the right side of the lip, one carpule of Lidocaine 2% with adrenaline 1:100,000, with a chalazion clamp, a diode laser for hemorrhagic control, and a simple suture. In this procedure, three fragments were biopsied: a cuboid measuring 1 × 1 × 0.8 cm and an irregular one consisting of two fragments that at one end of the piece were in continuity with each other, one measuring 1.6 × 0.5 × 0.4 cm and the other 2.5 × 0.6 × 0.5 cm. A similar macroscopic appearance in all the material, white in color, irregular surface, elastic, white section surface, or slightly fasciculate. The patient was medicated with Tylenol 500 mg thrice a day for two days. With 20-day intervals, the sutures from the first surgery were removed, as well as the foreign body from the upper lip on the left side, following the same surgical technique and medication. Histologically, it was possible to identify a chronic inflammatory, lymphoplasmacytic, and granulomatous reaction, with foreign body giant cells’ reaction, in relation to non-polarizable exogenous material due to the reaction to silicone. The most common complications are granulomas’ appearance and material displacement. The case report shows these granulomas are characterized as chronic low-caliber inflammation around the silicone. They have an unknown etiology but are probably multifactorial, from continuous trauma, friction or irritation, iatrogenic factors, infection, immunological mechanisms, and genetic and molecular variations, and can be highly related to the impurity of the injected material. This case brings the opportunity for health professionals to increase awareness of the long-term adverse effects of the silicone material used to fill the lip in order to make its application more predictable and conscious. Full article
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<p>The upper lip’s esthetic is shaped after 16 years of treatment using a liquid silicone filling (Frontal view and upper lip vermilion).</p>
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<p>The first surgical procedure used a chalazion clamp that was placed (<b>left</b>) to help with the linear incision. Access was performed (<b>right</b>) to visualize the inner content.</p>
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<p>A portion of the biopsied material.</p>
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<p>(<b>Left</b>) side: Histological analysis with Hematoxylin and eosin stain (HE), 40×, showing a fibroadipose tissue, mixed inflammatory infiltrate, and multinucleated giant foreign body-type cells in relation to eosinophilic material; (<b>Right</b>) side: 100× mixed mononuclear and polymorphonuclear inflammatory infiltrate, including foreign body multinucleated giant infectious cells.</p>
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<p>Four months postoperative. (<b>Left</b>) side: Frontal view; (<b>Right</b>) side: Upper lip vermilion.</p>
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22 pages, 8299 KiB  
Article
Impacts of Mask Wearing and Leakages on Cyclic Respiratory Flows and Facial Thermoregulation
by Kian Barari, Xiuhua Si and Jinxiang Xi
Fluids 2024, 9(1), 9; https://doi.org/10.3390/fluids9010009 - 27 Dec 2023
Cited by 2 | Viewed by 2324
Abstract
Elevated face temperature due to mask wearing can cause discomfort and skin irritation, making mask mandates challenging. When thermal discomfort becomes intolerable, individuals instinctively or unknowingly loosen or remove their facemasks, compromising the mask’s protective efficacy. The objective of this study was to [...] Read more.
Elevated face temperature due to mask wearing can cause discomfort and skin irritation, making mask mandates challenging. When thermal discomfort becomes intolerable, individuals instinctively or unknowingly loosen or remove their facemasks, compromising the mask’s protective efficacy. The objective of this study was to numerically quantify the microclimate under the mask and facial thermoregulation when wearing a surgical mask with different levels of misfit. An integrated ambient–mask–face–airway computational model was developed with gaps of varying sizes and locations and was validated against complementary experiments. The low Reynolds number (LRN) k-ω turbulence model with porous media was used to simulate transient respiratory flows. Both skin convective heat transfer and tissue heat generation were considered in thermoregulation under the facemask, besides the warm air exhaled from the body and the cool air inhaled from the ambient. The results of this study showed that when wearing a surgical mask with a perfect fit under normal breathing, the temperature at the philtrum increased by 4.3 °C compared to not wearing a mask. A small gap measuring 0.51 cm2 (gap A) at the nose top resulted in 5.6% leakage but reduced the warming effect by 28% compared to zero gap. Meanwhile, a gap of 4.3 cm2 (R1L1) caused 42% leakage and a 62% reduction in the warming effect. Unique temporospatial temperature profiles were observed at various sampling points and for different gap sizes, which correlated reasonably with the corresponding flow dynamics, particularly close to the gaps. The temperature change rate also exhibited patterns unique to the gap site and sampling point, with distinctive peaks occurring during the inspiratory–expiratory flow transitions. These results have the significant implications that by using the temporospatial temperature profiles at several landmark points, the gap location can potentially be pinpointed, and the gap size and leakage fractions can be quantified. Full article
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<p>Computational model for simulating facemask airflow and thermoregulation: (<b>a</b>) the integrated ambient–mask–face–airway model with gaps (A, AB, ABC, ABCD, R1L1, Side) of different sizes and locations, (<b>b</b>) computational domains and mesh with mesh sensitivity analysis.</p>
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<p>Methods and validation: (<b>a</b>) TSI 8131A facemask tester for breathing resistance and filtration efficiency, (<b>b</b>) breathing waveform for computational simulations, (<b>c</b>) infrared imaging and thermal meter for the characterization of surface and airflow temperatures, and (<b>d</b>) model validation against anemometer-measured leakage flows from a controlled side gap.</p>
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<p>Validation: (<b>a</b>) no mask, (<b>b</b>) with mask.</p>
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<p>Comparison of surface temperatures on the facemask and exposed face during one breathing cycle between (<b>a</b>) thermal camera imaging and (<b>b</b>) numerical predictions with no leak.</p>
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<p>Comparison of the streamlines and temperature profiles at three instants from the start of inhalation for three facemask-wearing scenarios: (<b>a</b>) with a gap at the nose bridge (R1L1), (<b>b</b>) with a gap at the left cheek (Side), and (<b>c</b>) with no mask.</p>
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<p>Instantaneous vortex structures at varying instants for (<b>a</b>) R1L1, (<b>b</b>) Side, and (<b>c</b>) no mask. The facial contour and vortices were color-coded by temperature.</p>
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<p>Comparison of the facial and airflow temperature distributions at 2.3 s with increasing gaps at the nose top (A–D, R1L1) in comparison to no leak and no mask: (<b>a</b>) no leak, (<b>b</b>) A, (<b>c</b>) AB, (<b>d</b>) ABC, (<b>e</b>) ABCD, (<b>f</b>) R1L1, and (<b>g</b>) no mask.</p>
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<p>Temperature variation at the philtrum: (<b>a</b>) temperature profiles under eight conditions; (<b>b</b>) comparison of the philtrum temperatures among eight conditions; (<b>c</b>) philtrum temperatures relative to that with no mask (i.e., dT); (<b>d</b>) the integration of dT, int(dT) representing the warming and cooling effects relative to ‘no mask’ for three consecutive breathing cycles; (<b>e</b>) mean and variance of the warming (orange) and cooling (blue) from three cycles; and (<b>f</b>) net warming effects.</p>
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<p>The change rate of philtrum temperature (dT/dt) vs. time: (<b>a</b>) dT/dt profiles under four facemask wearing conditions (i.e., no leak, R1L1, Side, and no mask); and (<b>b</b>) comparison of dT/dt profiles among eight facemask wearing conditions, with zoomed views during the flow transitions to inhalation (19.9–20.9 s) and exhalation (21–24 s).</p>
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<p>Temperature variation at the chin: (<b>a</b>) temperature variation vs. time under four facemask wearing conditions (i.e., no leak, R1L1, Side, and no mask); (<b>b</b>) comparison of the chin temperatures among eight conditions; and (<b>c</b>) warming (orange) and cooling (blue) effects at the chin.</p>
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<p>Temperature variation and thermal regulation under varying facemask wearing conditions at different sampling points: (<b>a</b>) right-middle cheek; (<b>b</b>) left-side cheek (under the side gap); and (<b>c</b>) nose bridge.</p>
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<p>Comparison of the temperature change rate (dT/dt) among four sampling points for four mask wearing conditions: (<b>a</b>) no leak, (<b>b</b>) R1L1, (<b>c</b>) Side, and (<b>d</b>) no mask. The four sampling points included the chin, right-middle cheek, left-side cheek (coinciding with the side gap), and nose bridge (coinciding with the R1L1 gap).</p>
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15 pages, 6692 KiB  
Article
Automatic Segmentation of Facial Regions of Interest and Stress Detection Using Machine Learning
by Daniel Jaramillo-Quintanar, Jean K. Gomez-Reyes, Luis A. Morales-Hernandez, Benjamin Dominguez-Trejo, David A. Rodriguez-Medina and Irving A. Cruz-Albarran
Sensors 2024, 24(1), 152; https://doi.org/10.3390/s24010152 - 27 Dec 2023
Cited by 2 | Viewed by 1556
Abstract
Stress is a factor that affects many people today and is responsible for many of the causes of poor quality of life. For this reason, it is necessary to be able to determine whether a person is stressed or not. Therefore, it is [...] Read more.
Stress is a factor that affects many people today and is responsible for many of the causes of poor quality of life. For this reason, it is necessary to be able to determine whether a person is stressed or not. Therefore, it is necessary to develop tools that are non-invasive, innocuous, and easy to use. This paper describes a methodology for classifying stress in humans by automatically detecting facial regions of interest in thermal images using machine learning during a short Trier Social Stress Test. Five regions of interest, namely the nose, right cheek, left cheek, forehead, and chin, are automatically detected. The temperature of each of these regions is then extracted and used as input to a classifier, specifically a Support Vector Machine, which outputs three states: baseline, stressed, and relaxed. The proposal was developed and tested on thermal images of 25 participants who were subjected to a stress-inducing protocol followed by relaxation techniques. After testing the developed methodology, an accuracy of 95.4% and an error rate of 4.5% were obtained. The methodology proposed in this study allows the automatic classification of a person’s stress state based on a thermal image of the face. This represents an innovative tool applicable to specialists. Furthermore, due to its robustness, it is also suitable for online applications. Full article
(This article belongs to the Section Sensing and Imaging)
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<p>General methodology for condition classification.</p>
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<p>Short protocol based on the Trier Social Stress Test.</p>
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<p>Segmented ROIs to evaluate thermal behavior.</p>
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<p>Numbered face landmarks (Numbers 9, 28, 31 and 34 highlighted in red are those considered in this work.</p>
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<p>Methodology for automated ROI selection.</p>
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<p>Thermal data extraction methodology.</p>
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<p>Smart status classifier chart.</p>
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<p>Face ROI detection results matrix.</p>
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<p>Thermal data distribution in the ROIs.</p>
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<p>Confusion matrix for the proposed classifier.</p>
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19 pages, 3146 KiB  
Article
Non-Contact Thermal and Acoustic Sensors with Embedded Artificial Intelligence for Point-of-Care Diagnostics
by Luís Rodríguez-Cobo, Luís Reyes-Gonzalez, José Francisco Algorri, Sara Díez-del-Valle Garzón, Roberto García-García, José Miguel López-Higuera and Adolfo Cobo
Sensors 2024, 24(1), 129; https://doi.org/10.3390/s24010129 - 26 Dec 2023
Cited by 3 | Viewed by 1567
Abstract
This work involves exploring non-invasive sensor technologies for data collection and preprocessing, specifically focusing on novel thermal calibration methods and assessing low-cost infrared radiation sensors for facial temperature analysis. Additionally, it investigates innovative approaches to analyzing acoustic signals for quantifying coughing episodes. The [...] Read more.
This work involves exploring non-invasive sensor technologies for data collection and preprocessing, specifically focusing on novel thermal calibration methods and assessing low-cost infrared radiation sensors for facial temperature analysis. Additionally, it investigates innovative approaches to analyzing acoustic signals for quantifying coughing episodes. The research integrates diverse data capture technologies to analyze them collectively, considering their temporal evolution and physical attributes, aiming to extract statistically significant relationships among various variables for valuable insights. The study delineates two distinct aspects: cough detection employing a microphone and a neural network, and thermal sensors employing a calibration curve to refine their output values, reducing errors within a specified temperature range. Regarding control units, the initial implementation with an ESP32 transitioned to a Raspberry Pi model 3B+ due to neural network integration issues. A comprehensive testing is conducted for both fever and cough detection, ensuring robustness and accuracy in each scenario. The subsequent work involves practical experimentation and interoperability tests, validating the proof of concept for each system component. Furthermore, this work assesses the technical specifications of the prototype developed in the preceding tasks. Real-time testing is performed for each symptom to evaluate the system’s effectiveness. This research contributes to the advancement of non-invasive sensor technologies, with implications for healthcare applications such as remote health monitoring and early disease detection. Full article
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<p>Proposed system diagram.</p>
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<p>Diagram of the thermal system.</p>
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<p>Captured thermographic images with (<b>a</b>) sensor AMG8833 and (<b>b</b>) sensor MLX90640.</p>
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<p>Validation test diagram.</p>
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<p>Example of cough spectrogram.</p>
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<p>Confusion matrix for the chosen model.</p>
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<p>Flow diagram of cough detection system.</p>
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<p>Example of a 2 s duration waveform.</p>
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<p>Examples of audio signals for the new classes: (<b>a</b>) music, (<b>b</b>) conversation, and (<b>c</b>) ambient noise. Examples of spectrograms of audio signals for the new classes: (<b>a</b>) music, (<b>b</b>) conversation, and (<b>c</b>) ambient noise.</p>
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<p>Complete system with validation tool. The different parts of the system are (1) bed mounting; (2) control unit; (3) Peltiers for calibration; (4) reference system for tests.</p>
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