Face Shape Research Articles

Revisiting the baby schema by a geometric morphometric analysis of infant facial characteristics across great apes

Infants across species are thought to exhibit specific facial features (termed the “baby schema”, such as a relatively bigger forehead and eyes, and protruding cheeks), with an adaptive function to induce caretaking behaviour from adults. There is abundant empirical evidence for this in humans, but, surprisingly, the existence of a baby schema in non-human animals has not been scientifically demonstrated. We investigated which facial characteristics are shared across infants in five species of great apes: humans, chimpanzees, bonobos, mountain gorillas, and Bornean orangutans. We analysed eight adult and infant faces for each species (80 images in total) using geometric morphometric analysis and machine learning. We found two principal components characterizing infant faces consistently observed across species. These included (1) relatively bigger eyes located lower in the face, (2) a rounder and vertically shorter face shape, and (3) an inverted triangular face shape. While these features are shared, human infant faces are unique in that the second characteristic (round face shape) is more pronounced, whereas the third (inverted triangular face shape) is less pronounced than other species. We also found some infantile features only found in some species. We discuss future directions to investigate the baby schema using an evolutionary approach.

Design Form of Graduation and Incremental Layer Cut according to Segmentation of Head Regions, Slice Line and Angle

Purpose: This research investigated how changing the division of a head area affects design. Furthermore, this research aimed to understand the variations in design form based on the slice line, present a sample of the cut design, and provide basic data for haircuts.Methods: The upper head was divided in to three areas by from the center point to the golden back medium point-then ear back point, from the center point to the back point-then ear back point, and from the center point to the back nape medium point- then ear back point. The upper head angle was 45° and the slice line adopts A line, parallel line, and V line. The upper and lower head angles were 110°, 130°, and 150°.Results: A line and V line became more distinct toward the face line, while the parallel line appeared flatter. There was no weight line in the incremental layer cut, and there was no noticeable difference in the change according to the angle in the concave stretched shape. When dividing the head area, the length was shortened when the starting point of the upper part was placed upward and lengthened when it was placed downward. The medium gradient cut appeared on the edge of the weight without falling hair on the same line.Conclusion: A line exhibited increased volume, weight, and expansion, while V line showed a decrease in these factors but an increase in volume, rhythm, and vitality. A line was observed to be mature and thin, while V line was cute and sporty, and the parallel line was plain and neat. Even with the same slice line, the length varied based on the segmentation of the head region. The head division, slice line, and angle should be selected based on the customer's head shape, face shape, and taste.

Evaluating 3D human face reconstruction from a frontal 2D image, focusing on facial regions associated with foetal alcohol syndrome

Foetal alcohol syndrome (FAS) is a preventable condition caused by maternal alcohol consumption during pregnancy. The FAS facial phenotype is an important factor for diagnosis, alongside central nervous system impairments and growth abnormalities. Current methods for analysing the FAS facial phenotype rely on 3D facial image data, obtained from costly and complex surface scanning devices. An alternative is to use 2D images, which are easy to acquire with a digital camera or smart phone. However, 2D images lack the geometric accuracy required for accurate facial shape analysis. Our research offers a solution through the reconstruction of 3D human faces from single or multiple 2D images. We have developed a framework for evaluating 3D human face reconstruction from a single-input 2D image using a 3D face model for potential use in FAS assessment. We first built a generative morphable model of the face from a database of registered 3D face scans with diverse skin tones. Then we applied this model to reconstruct 3D face surfaces from single frontal images using a model-driven sampling algorithm. The accuracy of the predicted 3D face shapes was evaluated in terms of surface reconstruction error and the accuracy of FAS-relevant landmark locations and distances. Results show an average root mean square error of 2.62 mm. Our framework has the potential to estimate 3D landmark positions for parts of the face associated with the FAS facial phenotype. Future work aims to improve on the accuracy and adapt the approach for use in clinical settings. Significance: Our study presents a framework for constructing and evaluating a 3D face model from 2D face scans and evaluating the accuracy of 3D face shape predictions from single images. The results indicate low generalisation error and comparability to other studies. The reconstructions also provide insight into specific regions of the face relevant to FAS diagnosis. The proposed approach presents a potential cost-effective and easily accessible imaging tool for FAS screening, yet its clinical application needs further research.

Influence of age and diet consistency on the oral muscle pressure of orthodontically treated and untreated subjects with normal occlusion and comparison of their 3D facial shape.

(1) To investigate the effect of age and diet consistency on maximum lips, tongue and cheek pressure of orthodontically treated and untreated subjects with normal, Class I dental occlusion, (2) to find out whether there is a muscle imbalance between anterior tongue and lip pressure in the same subjects at different ages and (3) to compare the 3D facial shape of treated and untreated individuals. Subjects with normal occlusion were prospectively grouped into orthodontically treated/untreated and in children/adolescents/adults. Iowa Oral Performance Instrument was used to record the maximum muscle pressure. Two-way ANOVA and Tukey post hoc test analysed age-specific differences in muscle pressure. Two-way ANCOVA analysed the effect of diet consistency on muscle pressure. Lips and tongue imbalance was analysed using z-scores and 3D faces using a generalized Procrustes analysis. One hundred thirty-five orthodontically untreated and 114 treated participants were included. Muscle pressure was found to increase with age in both groups, except for the tongue in treated subjects. No differences in the balance between lips and tongue muscle pressure were found, but a higher cheek pressure in untreated adults (p<0.05) was observed. 3D facial shapes showed subtle differences. Untreated subjects with soft diet consistency showed lower lip pressure (p<0.05). Oral muscle pressure of orthodontically treated patients without relapse does not differ from that of untreated patients with Class-I occlusion. This study provides normative lip, tongue and cheek muscle pressure in subjects with normal occlusion, which can be used for diagnosis, treatment planning and stability.

Digital template-guided genioplasty for patients with jaw deformity resulting from temporomandibular joint ankylosis: A comparison between single- and double-layer genioplasty

The aim of this study was to compare single- and double-layer digital template-assisted genioplasty for the correction of jaw deformity resulting from temporomandibular joint ankylosis (TMJA). Thirteen patients with jaw deformity resulting from TMJA who underwent lateral arthroplasty, costochondral graft, or total joint replacement combined with single- or double-layer digital template-assisted genioplasty were included. Computed tomography data were obtained for the preoperative design. Digital templates were designed and manufactured using three-dimensional printing to assist with the chin osteotomy and repositioning in single- or double-layer genioplasty. Of the 13 patients included, seven underwent single-layer genioplasty and six underwent double-layer genioplasty. The digital templates precisely reflected the osteotomy planes and repositioning of the chin segments intraoperatively. The radiographic evaluation showed that the patients who underwent double-layer genioplasty exhibited more chin advancement (11.95 ± 0.92 mm vs 7.50 ± 0.89 mm; P < 0.001) with a slightly larger mean surface error (1.19 ± 0.14 mm vs 0.75 ± 0.15 mm; P < 0.001) than those who underwent single-layer genioplasty. This indicates that double-layer genioplasty better promoted chin advancement and improved the facial shape, but was accompanied by more surgical error compared with the preoperative design. Furthermore, hardly any nerve damage was observed. Digital templates are useful for assisting in surgical procedures.

Using data-driven phenotyping to investigate the impact of sex on 3D human facial surface morphology.

The effects of sex on human facial morphology have been widely documented. Because sexual dimorphism is relevant to a variety of scientific and applied disciplines, it is imperative to have a complete and accurate account of how and where male and female faces differ. We apply a comprehensive facial phenotyping strategy to a large set of existing 3D facial surface images. We investigate facial sexual dimorphism in terms of size, shape, and shape variance. We also assess the ability to correctly assign sex based on shape, both for the whole face and for subregions. We applied a predefined data-driven segmentation to partition the 3D facial surfaces of 2446 adults into 63 hierarchically linked regions, ranging from global (whole face) to highly localized subparts. Each facial region was then analyzed with spatially dense geometric morphometrics. To describe the major modes of shape variation, principal components analysis was applied to the Procrustes aligned 3D points comprising each of the 63 facial regions. Both nonparametric and permutation-based statistics were then used to quantify the facial size and shape differences and visualizations were generated. Males were significantly larger than females for all 63 facial regions. Statistically significant sex differences in shape were also seen in all regions and the effects tended to be more pronounced for the upper lip and forehead, with more subtle changes emerging as the facial regions became more granular. Males also showed greater levels of shape variance, with the largest effect observed for the central forehead. Classification accuracy was highest for the full face (97%), while most facial regions showed an accuracy of 75% or greater. In summary, sex differences in both size and shape were present across every part of the face. By breaking the face into subparts, some shape differences emerged that were not apparent when analyzing the face as a whole. The increase in facial shape variance suggests possible evolutionary origins and may offer insights for understanding congenital facial malformations. Our classification results indicate that a high degree of accuracy is possible with only parts of the face, which may have implications for biometrics applications.

COMPARATIVE CHARACTERISTICS OF THE LINEAR DIMENSIONS OF VARIOUS FORMS OF THE FACIAL SKULL

For many years, radiography has traditionally been the main method for studying of the morphology of the facial skull and identifying craniofacial deformities, however, it is difficult to assess the typical variability of the linear dimensions of the facial skull on radiographs due to the many overlapping shadows of anatomical structures. Comparison of the results of craniometry of macerated skulls, radiographs and spiral computed tomography shows that multislice computed tomography in some cases can be the best alternative to conventional radiography and other methods of studying the facial skull. The purpose of the study was to conduct a comparative analysis of the linear dimensions of the facial skull with its various forms according to multislice computed tomography. Tomograms of 105 patients with different facial skull shapes were studied. Tomography was performed on a «Brilliance 64 Slice» multislice spiral X-ray computed tomography scanner at the Department of Magnetic Resonance and X-ray Computed Tomography of the Rostov State Medical University for suspected cerebrovascular pathology. The obtained images were analyzed using axial, multiplanar, and shadow density surface reconstructions in various projections. Measurements were made using a standard digital ruler of a computer tomography workstation, typical features of the linear dimensions of the facial skull were evaluated using the fan-beam method. In the studied group of individuals, the predominance of euryenes (46.7%, n=49) over mezenes (37.2%, n=35) and leptens (18.1%, n=9) was revealed. A comparative characteristic of the linear dimensions of the facial skull on spiral computed tomograms is described. According to the results of the study, the linear dimensions of the facial skull on the right dominate in leptens and euryenes, on the right in sections of the upper fan on the right, and on the left in sections of the lower and lateral fans. A left-sided asymmetry of the linear dimensions of the facial skull in sections of the lower fan, which is characteristic of mezenes, was established, while a right-sided asymmetry was found for euryenes and leptens. The data obtained as indicators of normal craniometry can be used in clinical practice by radiologists, plastic surgeons, maxillofacial surgeons, as well as in anthropology and forensic medicine.

Genioplasty: As Single Transforming Procedure

Dentofacial deformities are commonly associated with the chin area when it is inappropriate in size, shape, and position. When three-dimensional facial analysis is made, the chin becomes an important part within the same since it can significantly alter the symmetry, balance, and facial shape. We present a report of A 26 year old female reported with complaints of facial asymmery. On examination she had facial asymmetry with deviation of chin to her left side. Her radiograph (OPG) revealed hypoplasia on the left side of mandible and (lateral cephalogram) with severe chin retrusion. Further evaluation with CT confirmed her diagnosis of Hemifacial microsomia. She was planned for osseous sliding genioplasty procedure under general anesthesia It provide obvious and satisfactory outcome in severe chin deformity which seem very concerning and may seem to include other complex osteotomies. Hence with proper planning and asessment, prioratising patients chiefcomplaint genioplasty can give very satisfactory outcome.

A Study on the Characteristics of Makeup Behavior in the New Silver Generation

The objectives of the current study are to examine the makeup behavior of the New Silver Generation. A survey of 188 the age of 5060 was conducted. Analysis of the data collected from the survey was performed using SPSS 21.0. The frequency analysis, calculation of Cronbach's coefficient α, exploratory factor analysis were performed for statistical processing of the collected data. The results are summarized as follows. Makeup behavior Factors were Makeup Ideal Self-image, Makeup Trend Leadership, Makeup Interesting, Makeup Etiquette, Makeup Conformity, Makeup Esthetics. Makeup Ideal Self-image: Expresses a bright and individual image similar to a celebrity's appearance. Express the image of a successful entrepreneur or a skilled professional. Makeup expressions that look younger than your actual age. Expressing an image of opulence and elegance like the upper class. Makeup Trend Leadership: When buying makeup products, always pay attention to the latest trends. Watch TV, online, and mobile ads related to the latest makeup products. Want to know what kind of makeup products are trending. Buying new trendy makeup products before people around you. Makeup Interesting: Always be interested in what others do with makeup. Interesting to change makeup or hairstyle. Interested in the makeup of singers and actors when watching TV or movies. Try it yourself to see if the makeup product looks good on you. Makeup Etiquette: Wonder what kind of makeup suits my face shape and skin tone. Always try to keep your makeup calm and calm. When you go out to meet acquaintances, be sure to wear makeup. Choose natural and calm colors and images for makeup products Makeup Conformity: More comfortable when I wear makeup similar to the people around me. Choose makeup products that people around you usually use a lot. Make up similar to the people around you. When applying makeup, pay special attention to color harmony. Makeup Esthetics: Trying to get reviews that your face with makeup looks great. Applying makeup according to a new style is very important to me. Choose makeup products that highlight your strengths. As long as it suits you, it's okay to wear a little flashy makeup.

Association between prenatal alcohol exposure and children's facial shape: a prospective population-based cohort study.

Is there an association between low-to-moderate levels of prenatal alcohol exposure (PAE) and children's facial shape? PAE before and during pregnancy, even at low level (<12 g of alcohol per week), was found associated with the facial shape of children, and these associations were found attenuated as children grow older. High levels of PAE during pregnancy can have significant adverse associations with a child's health development resulting in recognizably abnormal facial development. This study was based on the Generation R Study, a prospective cohort from fetal life onwards with maternal and offspring data. We analyzed children 3-dimensional (3D) facial images taken at ages 9 (n = 3149) and 13 years (n = 2477) together with the data of maternal alcohol consumption. We defined six levels of PAE based on the frequency and dose of alcohol consumption and defined three tiers based on the timing of alcohol exposure of the unborn child. For the image analysis, we used 3D graph convolutional networks for non-linear dimensionality reduction, which compressed the high-dimensional images into 200 traits representing facial morphology. These 200 traits were used for statistical analysis to search for associations with PAE. Finally, we generated heatmaps to display the facial phenotypes associated with PAE. The results of the linear regression in the 9-year-old children survived correction for multiple testing with false discovery rate (FDR). In Tier 1 where we examined PAE only before pregnancy (exposed N = 278, unexposed N = 760), we found three traits survived FDR correction. The lowest FDR-P is 1.7e-05 (beta = 0.021, SE = 0.0040) in Trait #29; In Tier 2b where we examine any PAE during first trimester (exposed N = 756; unexposed N = 760), we found eight traits survived FDR correction. The lowest FDR-P is 9.0e-03 (beta = -0.013, SE = 0.0033) in Trait #139. Moreover, more statistically significant facial traits were found in higher levels of PAE. No FDR-significant results were found in the 13-year-old children. We map these significant traits back to the face, and found the most common detected facial phenotypes included turned-up nose tip, shortened nose, turned-out chin, and turned-in lower-eyelid-related regions. We had no data for alcohol consumption more than three months prior to pregnancy and thus do not know if maternal drinking had chronic effects. The self-reported questionnaire might not reflect accurate alcohol measurements because mothers may have denied their alcohol consumption. Our results imply that facial morphology, such as quantified by the approach we proposed here, can be used as a biomarker in further investigations. Furthermore, our study suggests that for women who are pregnant or want to become pregnant soon, should quit alcohol consumption several months before conception and completely during pregnancy to avoid adverse health outcomes in the offspring. This work was supported by Erasmus Medical Centre, Rotterdam, the Erasmus University Rotterdam, and the Netherlands Organization for Health Research. V.W.V.J. reports receipt of funding from the Netherlands Organization for Health Research (ZonMw 90700303). W.J.N. is a founder, a scientific lead, and a shareholder of Quantib BV. N/A.

Encoding of dynamic facial information in the middle dorsal face area

Faces in motion reveal a plethora of information through visual dynamics. Faces can move in complex patterns while transforming facial shape, e.g., during the generation of different emotional expressions. While motion and shape processing have been studied extensively in separate research enterprises, much less is known about their conjunction during biological motion. Here, we took advantage of the discovery in brain-imaging studies of an area in the dorsal portion of the macaque monkey superior temporal sulcus (STS), the middle dorsal face area (MD), with selectivity for naturalistic face motion. To gain mechanistic insights into the coding of facial motion, we recorded single-unit activity from MD, testing whether and how MD cells encode face motion. The MD population was highly sensitive to naturalistic facial motion and facial shape. Some MD cells responded only to the conjunction of facial shape and motion, others were selective for facial shape even without movement, and yet others were suppressed by facial motion. We found that this heterogeneous MD population transforms face motion into a higher dimensional activity space, a representation that would allow for high sensitivity to relevant small-scale movements. Indeed, we show that many MD cells carry such sensitivity for eye movements. We further found that MD cells encode motion of head, mouth, and eyes in a separable manner, requiring the use of multiple reference frames. Thus, MD is a bona fide face-motion area that uses highly heterogeneous cell populations to create codes capturing even complex facial motion trajectories.

Comprehensive Assessment of Lower-Face Volume Reduction Using Laser-Assisted Liposuction as an Additive Procedure in Asian Rhytidectomy.

The most important factor that distinguishes a youthful appearance from an aged one is the shape of the lower face. This study aimed to examine the outcome of volume reduction of the lower face using laser-assisted liposuction (SmartLipo) at the time of rhytidectomy in Asians. There were 20 patients (Group 1) for whom only extended deep-plane rhytidectomy were performed, while extended deep-plane rhytidectomy with laser-assisted liposuction was performed on 42 patients (Group 2). This study was performed retrospectively. The FACE-Q questionnaire was given to evaluate the subjective result of the patient. Efficacy was evaluated by measuring the fat quantity at the midpoint and anterior border of the masseter muscle on each side by using an ultrasound scan in Group 2. Then, the correlation between the change in the quantity of fat and the FACE-Q was investigated. The overall satisfaction, and satisfaction for the lower face, jawline, and the area under the chin were significantly higher for Group 2 for which the procedure was concurrently performed in comparison to Group 1. In Group 2, change in the fat was reduced by 21.2% (Rt.) and 22.5% (Lt.) at the mid-point and 24.5% (Rt.) and 26.4% (Lt.) at the anterior border of the masseter muscle. Changes in the fat quantity and lower face satisfaction displayed a significant correlation. With a greater reduction in fat quantity, the score of lower face satisfaction was higher. In addition, with a higher level of satisfaction for the lower face and jawline, the overall satisfaction score displayed a higher positive correlation. Laser-assisted liposuction was useful for the additive procedure at the time of rhytidectomy and improved patient's satisfaction after surgery.

Beyond 3DMM: Learning to Capture High-Fidelity 3D Face Shape.

3D Morphable Model (3DMM) fitting has widely benefited face analysis due to its strong 3D priori. However, previous reconstructed 3D faces suffer from degraded visual verisimilitude due to the loss of fine-grained geometry, which is attributed to insufficient ground-truth 3D shapes, unreliable training strategies and limited representation power of 3DMM. To alleviate this issue, this paper proposes a complete solution to capture the personalized shape so that the reconstructed shape looks identical to the corresponding person. Specifically, given a 2D image as the input, we virtually render the image in several calibrated views to normalize pose variations while preserving the original image geometry. A many-to-one hourglass network serves as the encode-decoder to fuse multiview features and generate vertex displacements as the fine-grained geometry. Besides, the neural network is trained by directly optimizing the visual effect, where two 3D shapes are compared by measuring the similarity between the multiview images rendered from the shapes. Finally, we propose to generate the ground-truth 3D shapes by registering RGB-D images followed by pose and shape augmentation, providing sufficient data for network training. Experiments on several challenging protocols demonstrate the superior reconstruction accuracy of our proposal on the face shape.

4D Atlas: Statistical Analysis of the Spatiotemporal Variability in Longitudinal 3D Shape Data.

We propose a novel framework to learn the spatiotemporal variability in longitudinal 3D shape data sets, which contain observations of objects that evolve and deform over time. This problem is challenging since surfaces come with arbitrary parameterizations and thus, they need to be spatially registered. Also, different deforming objects, hereinafter referred to as 4D surfaces, evolve at different speeds and thus they need to be temporally aligned. We solve this spatiotemporal registration problem using a Riemannian approach. We treat a 3D surface as a point in a shape space equipped with an elastic Riemannian metric that measures the amount of bending and stretching that the surfaces undergo. A 4D surface can then be seen as a trajectory in this space. With this formulation, the statistical analysis of 4D surfaces can be cast as the problem of analyzing trajectories embedded in a nonlinear Riemannian manifold. However, performing the spatiotemporal registration, and subsequently computing statistics, on such nonlinear spaces is not straightforward as they rely on complex nonlinear optimizations. Our core contribution is the mapping of the surfaces to the space of Square-Root Normal Fields (SRNF) where the [Formula: see text] metric is equivalent to the partial elastic metric in the space of surfaces. Thus, by solving the spatial registration in the SRNF space, the problem of analyzing 4D surfaces becomes the problem of analyzing trajectories embedded in the SRNF space, which has a euclidean structure. In this paper, we develop the building blocks that enable such analysis. These include: (1) the spatiotemporal registration of arbitrarily parameterized 4D surfaces even in the presence of large elastic deformations and large variations in their execution rates; (2) the computation of geodesics between 4D surfaces; (3) the computation of statistical summaries, such as means and modes of variation, of collections of 4D surfaces; and (4) the synthesis of random 4D surfaces. We demonstrate the performance of the proposed framework using 4D facial surfaces and 4D human body shapes.

BabyNet: Reconstructing 3D faces of babies from uncalibrated photographs

We present a 3D face reconstruction system that aims at recovering the 3D facial geometry of babies from uncalibrated photographs, BabyNet. Since the 3D facial geometry of babies differs substantially from that of adults, baby-specific facial reconstruction systems are needed. BabyNet consists of two stages: 1) a 3D graph convolutional autoencoder learns a latent space of the baby 3D facial shape; and 2) a 2D encoder that maps photographs to the 3D latent space based on representative features extracted using transfer learning. In this way, using the pre-trained 3D decoder, we can recover a 3D face from 2D images. We evaluate BabyNet and show that 1) methods based on adult datasets cannot model the 3D facial geometry of babies, which proves the need for a baby-specific method, and 2) BabyNet outperforms classical model-fitting methods even when a baby-specific 3D morphable model, such as BabyFM, is used.

Simulation of Postoperative Facial Appearances via Geometric Deep Learning for Efficient Orthognathic Surgical Planning.

Orthognathic surgery corrects jaw deformities to improve aesthetics and functions. Due to the complexity of the craniomaxillofacial (CMF) anatomy, orthognathic surgery requires precise surgical planning, which involves predicting postoperative changes in facial appearance. To this end, most conventional methods involve simulation with biomechanical modeling methods, which are labor intensive and computationally expensive. Here we introduce a learning-based framework to speed up the simulation of postoperative facial appearances. Specifically, we introduce a facial shape change prediction network (FSC-Net) to learn the nonlinear mapping from bony shape changes to facial shape changes. FSC-Net is a point transform network weakly-supervised by paired preoperative and postoperative data without point-wise correspondence. In FSC-Net, a distance-guided shape loss places more emphasis on the jaw region. A local point constraint loss restricts point displacements to preserve the topology and smoothness of the surface mesh after point transformation. Evaluation results indicate that FSC-Net achieves 15× speedup with accuracy comparable to a state-of-the-art (SOTA) finite-element modeling (FEM) method.

3D Talking Face With Personalized Pose Dynamics.

Recently, we have witnessed a boom in applications for 3D talking face generation. However, most existing 3D face generation methods can only generate 3D faces with a static head pose, which is inconsistent with how humans perceive faces. Only a few articles focus on head pose generation, but even these ignore the attribute of personality. In this article, we propose a unified audio-driven approach to endow 3D talking faces with personalized pose dynamics. To achieve this goal, we establish an original person-specific dataset, providing corresponding head poses and face shapes for each video. Our framework is composed of two separate modules: PoseGAN and PGFace. Given an input audio, PoseGAN first produces a head pose sequence for the 3D head, and then, PGFace utilizes the audio and pose information to generate natural face models. With the combination of these two parts, a 3D talking head with dynamic head movement can be constructed. Experimental evidence indicates that our method can generate person-specific head pose sequences that are in sync with the input audio and that best match with the human experience of talking heads.

Ultra‐Fast Benzene Gas (C6H6) Detection Characteristics of Cobalt‐Doped Aluminum Oxide Sensors

AbstractIn this study, undoped and Cobalt‐doped Al2O3 were synthesized though a precipitation method followed by microwave irradiation for benzene gas sensing studies. The Co‐doped Al2O3 nanoparticles are offering lattice disorder that facilitate imperfection/defects. An XPS survey scan has been used to confirm the presence of the relevant elements and to calculate their amounts, respectively. Moreover, the doped nanoparticles face shape and size revision which warrants the device application. After characterization, the samples were used for fabrication of gas sensors. Benzene gas sensing studies revealed that the sensor with higher amount of Co‐doping had a high response to this gas. The optimized gas sensor showed a fast response time of 1.5 s and a recovery time of 2 s. The doped sensor has effectively sensed the lower concentration of 5 ppm gas. Sensor surface is readily active for grabbing oxygen from air and then release electrons at very fast in‐contact of benzene. Furthermore, it showed high stability and good selectivity. Improved performance for the optimized gas sensor was related to decrease of particle size as a result of doping, generation of oxygen vacancies due to the presence of Co‐dopant and also catalytic activity of Co. The ageing‐test of the sensor had reproduced the ∼98 % results which affirms the long‐term stability. The result of this study can be used for further exploration of role of Co in the gas response of different sensing materials.

Dissecting the Complexity of Skeletal-Malocclusion-Associated Phenotypes: Mouse for the Rescue.

Skeletal deformities and malocclusions being heterogeneous traits, affect populations worldwide, resulting in compromised esthetics and function and reduced quality of life. Skeletal Class III prevalence is the least common of all angle malocclusion classes, with a frequency of 7.2%, while Class II prevalence is approximately 27% on average, varying in different countries and between ethnic groups. Orthodontic malocclusions and skeletal deformities have multiple etiologies, often affected and underlined by environmental, genetic and social aspects. Here, we have conducted a comprehensive search throughout the published data until the time of writing this review for already reported quantitative trait loci (QTL) and genes associated with the development of skeletal deformation-associated phenotypes in different mouse models. Our search has found 72 significant QTL associated with the size of the mandible, the character, shape, centroid size and facial shape in mouse models. We propose that using the collaborative cross (CC), a highly diverse mouse reference genetic population, may offer a novel venue for identifying genetic factors as a cause for skeletal deformations, which may help to better understand Class III malocclusion-associated phenotype development in mice, which can be subsequently translated to humans. We suggest that by performing a genome-wide association study (GWAS), an epigenetics-wide association study (EWAS), RNAseq analysis, integrating GWAS and expression quantitative trait loci (eQTL), micro and small RNA, and long noncoding RNA analysis in tissues associated with skeletal deformation and Class III malocclusion characterization/phenotypes, including mandibular basic bone, gum, and jaw, in the CC mouse population, we expect to better identify genetic factors and better understand the development of this disease.

Examination of Facial Convexity and Concavity Values With Reference to the External Acoustic Pore: A Retrospective Study.

The human skull serves as an essential material for facial reconstruction. In particular, the petrous part of the temporal bone is vital due to its compact structure, which can resist mechanical forces. The study aims to give descriptive values to estimate the face shape and produce regression formulas through the external acoustic pore as a reference point. The study was carried out on 3-dimensional computed tomography images, a total of 83 adult images (45 females and 38 males) in the Department of Radiology of Bursa Uludag University Medical Faculty. The distances between the imaginary vertical line passing through the porion and the anthropometric points revealing the facial features were measured for the soft and hard tissue. The vertical distances between the soft and hard tissue landmarks were also measured for both sexes. Measurements were performed with the Image J program, and for the statistical analysis, SPSS 25.0 was used ( P < 0.005). Linear simple regression analysis was used to produce formulas to estimate the soft tissue thickness using hard tissue. Also, discriminant function analysis was performed to determine sex in the presence of an unknown skull. The descriptive values of the variables on the axial and vertical planes and the differences between sexes are given. Also, all formulas make accurate predictions of 90% or more. The authors tried to estimate the anatomical points that roughly reveal the facial features with the regression formulas developed using anthropometric measurements. The authors think that the shape of the face, which is more specific to the individual, can be reached more clearly using mathematical models, and the authors believe that this study will set an example for future studies.