Average Face Research Articles

Poor face recognition predicts social anxiety in autism: A short report.

Research has shown that some autistic people have severe difficulties in recognising other people's faces. However, little is understood about how these difficulties impact the daily life and the mental well-being of autistic people. In this study, we asked 60 autistic adults with varying degrees of face recognition ability to complete two tests of face recognition, a questionnaire about social anxiety and a bespoke survey which asked participants about their experiences of face recognition and social interaction. We found that participants who had poor face recognition reported experiencing higher levels of social anxiety compared to those with average or better face recognition skills. More than half felt that their face recognition difficulties affected their social interactions, and over a third believed it hindered their ability to make friends. These findings suggest that face recognition difficulties may contribute to social anxiety among autistic individuals.

Patients´ experiences of an exercise intervention in primary care following robot-assisted radical cystectomy due to bladder cancer: a qualitative study

BackgroundPhysical activity is thought to be a key component in reducing postoperative complications following major abdominal surgery. The available literature on exercise interventions following radical cystectomy in patients with bladder cancer is scarce but suggests that physical activity and exercise might improve physical function and health-related quality of life, thus calling for further investigation. The CanMoRe-trial is a single-blinded randomised controlled trial (Clinicals Trials NCT03998579 25/06/2019), aimed at evaluating the impact of an exercise intervention in primary care following robot-assisted radical cystectomy. This study seeks to explore patients’ experiences of the exercise intervention in the CanMoRe-trial to gain a better understanding of facilitating aspects and potential barriers.MethodsA qualitative study was conducted involving 20 patients from the intervention group of the CanMoRe-trial who were interviewed individually between October 2020 and March 2023 using a semi-structured interview guide. The interviews were recorded and transcribed verbatim and reflexive thematic analysis was used to analyse the data.ResultsFour main themes were identified: Having to adapt to new circumstances, describing the challenges regarding physical activity patients face after discharge. Optimising conditions for rehabilitation, describing how practical conditions affect patients’ ability to exercise. Motivated to get back to normal, describing patients´ desire to get back to normal life and factors influencing motivation. Importance of a supportive environment, describing the impact of social support, support from physiotherapists, and how the environment where exercise takes place impacts patients’ ability to exercise.ConclusionThis study found that patients participating in the CanMoRe-trial are positive towards physical exercise in PC following radical RARC. They are motivated to get back to normal life but face major challenges when arriving home following surgery, which affect their ability to perform physical activity and engage in exercise. Conditions need to be optimised to support patients’ ability to engage in exercise by providing an accessible PC location to perform exercise in. A supportive environment is also needed, including guidance from healthcare professionals regarding which type of exercise, intensity and amount of exercise that should be performed, enabling patients gradually to develop self-efficacy regarding exercise and focusing on goals related to patients’ normal lives before surgery.

Fast updating of stimulus history reveals weak internal representations of faces in autism.

Atypical perception has been widely reported in autism spectrum disorders, and deficits in face recognition, specifically, are argued to be closely associated with social impairment experienced by these individuals. However, it is still debated (a) whether deficits are perceptually based, and (b)what the role is of experience-based refinements of perceptual face representations in autism. We investigated the effect of short- and long-term experienced stimulus history on face processing. Autistic and non-autistic individuals performed same-different judgments in a serial discrimination task where two consecutive faces were drawn from a distribution of morphed faces. Use of stimulus statistics was measured by testing the gravitation of face representations towards, the mean of a range of morphed faces around which they were sampled (regression-to-the-mean). The results show that unlike non-autistic individuals, representations of own- and other-race faces were equally biased by stimulus statistics in autistic individuals. Moreover, autistic individuals used the most recently exposed faces without forming a strong internal representation based on the overall experienced faces, indicating a weaker internal model of the "typical" averaged face. This accumulated history of faces may underlie typical face specialization, and thus may account for the reduced specialization for own-race faces shown in autism. The results shed light on the way autistic people process and recognize faces, and on the basic mechanisms underlying atypical face perception.

Fabrication of Circular Defects in 2-Dimensional Photonic Crystal Lasers with Convex Edge Structure

We have developed circular defects in 2-dimensional photonic crystal lasers that allow current injection for interconnected optical communications. However, when cleaving the sample to measure the output light, the output light intensity changes due to the cleaving position. In a previous study, we proposed a new end face structure called a convex edge structure. In this paper, we design the electron beam lithography patterns to fabricate this structure. With this design, it is possible to eliminate the effect of different cleaving positions and ensure that the cleavage tolerance is larger than the cleavage position error. We also develop the fabrication technology for this structure, fabricate samples, and measure the output light experimentally. The optical properties of the fabricated sample are similar to well-fabricated samples with normal cleavage edge faces. We are assured that these results contribute to future work such as accurate manufacturing and improving the end face configuration to obtain higher outputs.

Inspection, Testing and Examination System at Gangsa 2 Laboratory at Uitm Bukit Besi

Examination and testing of the (LEV) system was conducted at the Gangsa 2 laboratory of (UiTM) Kampus Bukit Besi to evaluate performance and compliance with safety standards. The inspection aimed to obtain data on airflow, static pressure, and velocities at key points in the LEV system, focusing on a single fume hood (FH-GANGSA 2). Methodology followed guidelines from the (ACGIH) and adhered to (USECHH) 2000 Regulations. Face velocities were measured at different sash heights, and duct transport velocities were assessed. Smoke tests were performed to visually evaluate containment efficiency. Instruments used included a hot wire anemometer, pitot tube, digital manometer, and smoke tester kit. Results showed the fume hood had an average face velocity of 117.8 fpm at the recommended working height of 19.7 inches, within the 80-100 fpm range specified by ACGIH. Duct transport velocity was 3102 fpm, exceeding the recommended 1000-2000 fpm range. The smoke test demonstrated excellent containment with smooth inflow and no escape of smoke outside the hood. A comparison with the previous year's inspection revealed a slight decrease in performance, with face velocity dropping from 109 fpm to 88.5 fpm. While for the flowrate, there is a notable increase in the flow rate from 2023 to 2024. The LEV system was found to meet acceptable working conditions based on ACGIH standards and comply with (USECHH) 2000 Regulations. Recommendations included designing the system by a registered professional engineer as stipulated in (USECHH) Regulation 2000, continuing monthly performance monitoring, and improving accessibility to the centrifugal fan for more comprehensive measurements. This examination helps establish baseline measurements for ongoing monitoring of the LEV system's effectiveness in protecting worker health and safety in laboratory settings.

Challenges Met by Intermediate Fast-Learner Classes on Communication Skills

This study explored the challenges faced by intermediate fast learner classes in five central schools of the Division of Surigao City in developing communication skills. Through interviews with 15 high-performing and 15 average-performing learners, challenges in reading, writing, speaking, and listening were identified and analyzed using thematic analysis. High-performing students struggle with comprehension, time management, and confidence, while average performers face additional difficulties in complex language and self-doubt. Strategies include resource use, external help, cognitive coping, and emotional regulation. Both groups employ various techniques to improve comprehension, fluency, and active listening

Cell topology during coarsening of simulated three-dimensional dry liquid foams.

Cell topology provides a deep insight into the structure of dry liquid foams. This paper analyses the cell topology of simulated 3-dimensional monodisperse dry liquid foams through the process of coarsening, where gas slowly diffuses through the cell interfaces. The coarsened foams are polydisperse, yet show a difference in cell types to annealed, low energy foams of comparable polydispersity. These two types of foams are analysed using average face degree of the cells and a measure of combinatorial roundedness, a new concept from combinatorial topology. We see that the spectrum of cell types changes drastically through the evolution of the foam via coarsening, from cells with a face degree between 12 and 14, with many 4-, 5-, and 6-side faces, to a combination of very large cells with many faces alongside a high frequency of tetrahedra and other cells with low face degree. These results demonstrate the insight that topological methods can give into foams and other complex structures.

Impact of Changing Inlet Modes in Ski Face Masks on Adolescent Skiing: A Finite Element Analysis Based on Head Models

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.

Difficult Airway Prediction in Infants with Apparently Normal Face and Neck Features.

Background/Objectives: Prediction of a difficult airway during pre-anesthetic evaluation is of great importance because it enables an adequate anesthetic approach and airway management. As there is a scarcity of prospective studies evaluating the role of anthropometric measures of the face and neck in predicting difficult airways in infants with an apparently normal airway, we aimed to identify the aforementioned predictors of difficult facemask ventilation and intubation in infants. Methods: A prospective, observational study that included 97 infants requiring general endotracheal anesthesia was conducted. Anthropometric and specific facial measurements were obtained before ventilation and intubation. Results: The incidence of difficult facemask ventilation was 15.5% and 38.1% for difficult intubation. SMD (sternomental distance), TMA (tragus-to-mouth angle distance), NL (neck length) and mouth opening were significantly lower in the difficult facemask ventilation group. HMDn (hyomental distance in neutral head position), HMDe (hyomental distance in neck extension), TMD (thyromental distance), SMD, mandibular development and mouth opening were significantly different in the intubation difficulty group compared to the non-difficult group. HMDn and HMDe showed significantly greater specificities for difficult intubation (83.8% and 76.7%, respectively), while higher sensitivities were observed in TMD, SMD and RHSMD (ratio of height to SMD) (89.2%, 75.7%, and 70.3%, respectively). Regarding difficult facemask ventilation, TMA showed greater sensitivity (86.7%) and SMD showed greater specificity (80%) compared to other anthropometric parameters. In a multivariate model, BMI (body mass index), COPUR (Colorado Pediatric Airway Score), BOV (best oropharyngeal view) and TMA were found to be independent predictors of difficult intubation, while BMI, ASA (The American Society Physical Status Classification System), CL (Cormack-Lehane Score), TMA and SMD predicted difficult facemask ventilation. Conclusions: Preoperative airway assessment is of great importance for ventilation and intubation. Patient's overall condition and facial measurements can be used as predictors of difficult intubation and ventilation.

Development and validation of Adolescent Sexual and Reproductive Health- Knowledge, Attitude, and Self-Efficacy Questionnaires (ASRH-KASeQ).

The tools to measure knowledge, attitudes, and self-efficacy related to adolescent sexual and reproductive health have been developed, but with adolescent subjects over 15 years old and with specific topics. The needs and focus of SRH education in adolescents are different from those of young adults. This study aimed to develop a valid and reliable tool to measure adolescents' knowledge, attitude, and self-efficacy regarding SRH. A total of 100 items were developed based on a literature search, focus group discussion, and expert panel encompassing three domains: knowledge, attitude, and self-efficacy. The Adolescent Sexual andReproductive Health- Knowledge, Attitude, and Self-Efficacy Questionnaires (ASRH-KASeQ) then underwent a validation process that included content validity, face validity, and internal consistency reliability. This study was conducted on adolescents aged 12-15 years in secondary school in Yogyakarta, Indonesia. All statistical methods were analyzed using STATA software. The average content validity (S-CVI/Ave) and face validity (S-FVI/Ave) for knowledge, attitude, and self-efficacy demonstrated good validity with scores of 0.93 and 0.94, 0.92 and 0.96, and 0.95 and 0.96, respectively. The internal consistency reliability using Cronbach's alpha for the knowledge, attitude, and self-efficacy domains exceeded 0.6, with results of 0.7, 0.81, and 0.89, which were considered acceptable. The final set of ASRH-KASeQ consisted of 100 items measuring knowledge (40 items), attitude (30 items), and self-efficacy (30 items) of adolescents SRH. ASRH-KASeQ was shown to be a reliable and valid tool for Indonesian adolescents, especially those aged 12-15 years.

Constructing a cataplexy face prediction model for narcolepsy type 1 based on ResNet-18

Objective: To establish a prediction model for the identifying of cataplexy facial features based on clinical shooting videos by using a deep learning image recognition network ResNet-18. Methods: A cross-sectional study. Twenty-five narcolepsy type 1 patients who were first diagnosed and never received treatment and 25 healthy controls recruited by advertisement in the Second Affiliated Hospital of Nanchang University from 2020 to 2023.After image preprocessing, a total of 1 180 images were obtained, including 583 cataplexy faces and 597 normal faces.90% were selected as the training set and validation set, and then expanded the data by 5 times.80% of the expanded data set was extracted as the training set and 20% as the validation set, that is, the number of the training set was (583+597)×0.9×0.8×5=4 248, the number of the validation set was (583+597)×0.9×0.2×5=1 062. The data sets for training and validation were used train parameters to establish the model and were trained through the five-fold cross-validation method, to establish the ResNet-18 cataplexy face recognition model via transfer learning.10% (118 images) of the original non-amplified images were extracted as the test set. The test set data did not participate in data enhancement and model training, and was only used to evaluate the final performance of the model. Finally, ResNet-18 was compared with VGG-16, ResNet-34 and Inception V3 deep learning models, and the receiver operating characteristic curve was used to evaluate the value of ResNet-18 image recognition network in cataplexy face recognition. Results: Among 25 patients with narcolepsy type 1, 15 were males and 10 were females, aged [M (Q1, Q3)] of 14.0(11.0, 20.5) years.Among 25 healthy controls, 14 were males and 11 were females, with a median age of 16.0(14.4, 23.0) years.The overall accuracy of ResNet-18 image recognition network in the test set was 90.9%, the sensitivity was 96.4% and the specificity was 85.2%. The area under the ROC curve was 0.99(95%CI:0.96-1.00). The ResNet-18 model parameter amount was 11.69 M, the floating point operation amount was 1 824.03 M, and the single image recognition time was 5.9 ms. Conclusions: The cataplexy face prediction model built based on the deep learning image recognition network ResNet-18 has a high accuracy in identifying cataplexy faces.

Three-dimensional Sonography in the Evaluation of Normal and Abnormal Fetal Face

Three-dimensional Sonography in the Evaluation of Normal and Abnormal Fetal Face

A Three-Zone Identification Method for Coal Mine Area Based on DS Evidence Theory

As coal ore and other resources are continuously mined, a three-zone structure is formed underground consisting of a sagging zone, fault zone, and caving zone. The use of well-logging data to identify the three zones is important for production safety and environmental management. Owing to the scarcity of data that can reflect three zones in normal coal mining, conventional identification and prediction methods face challenges when extracting data features, incurring a degree of uncertainty within prediction results. Accordingly, the accurate identification of the three zones has become a critical objective in daily production. To address this issue, we developed a method called a method called backpropagation neural networks with Dempster–Shafer (DS) evidence theory. Initially, we preprocessed the training data and deployed two backpropagation neural networks (BPNNs) to predict the three zones according to two parameters. According to these prediction results, the local and global credibility of each prediction is calculated and used to obtain the basic probability assignment function required for the DS evidence theory. Finally, the DS evidence theory is used to fuse the two BPNNs prediction results, thereby producing the final prediction results. The proposed method was demonstrated to improve prediction accuracy by 6.4% compared to a conventional neural network.

‘We are all alike’: Composite Portraits, CONVICTS, and the Ethics of Representation

In the digital age, historians face a transformation in methodologies due to vast data availability. While quantitative techniques are considered essential for managing large datasets, their increased use demands heightened vigilance. Through a critique of the CONVICTS exhibition, viewed at the Hobart Penitentiary Chapel in 2019, this article illustrates why it is important to have a clear understanding of the purpose and limitations of the methodologies we engage. CONVICTS remakes Francis Galton's ‘pictorial statistics’, using contemporary methods to create composite portraits of nineteenth and twenty-first-century convicts. While Galton sought to identify the defining features of the ‘ideal criminal’, the creators of CONVICTS draw attention to the commonality and likeness of these portraits to our experience of the average person. However, presenting averaged faces as familiar and relatable can inadvertently reinforce biased judgments based on appearances. Moreover, the process of averaging faces erases individuality and fails to represent any actual convict.

Study of the Effects of Five Different Machining Fluids on the Surface Hardness and Corrosion Behaviour of Al6061 Alloy

The effects of various machining fluids on the surface hardness and corrosion behaviour of Al6061 alloy were investigated in this study. The study employed the two-step method to develop the machining fluid containing TiO2 nanoparticles with various percentage concentrations. The corrosion study media consist of soluble oil (sample A1), mineral oil (sample A2), 0.2-g/l-TiO2 nano-mineral machining fluid (sample A3), 0.4-g/l-TiO2 nano-mineral machining fluid (sample A4) and 0.6-g/l-TiO2 nano-mineral machining fluid (sample 5). The corrosion study was carried out with Potentiodynamic corrosion and polarisation resistance techniques. After the corrosion study, the SEM and EDS were employed to investigate the microstructure and elemental composition of the machining fluid effects on the Al6061 alloy, and the Vickers micro-hardness machine was used to test the surface hardness of the normal face region that was exposed to the corrosion study. The results show that the soluble oil has a high corrosion rate, with the list polarisation resistance rate compared to the other machining fluid employed in this study. Furthermore, the 0.6-g/l-TiO2 nano-mineral machining fluid has the lowest corrosion rate of 0.115 (µm/year) and the highest polarisation resistance of 1.543 (MΩ). The study concluded that the 0.6-g/l-TiO2 nano-mineral machining fluid is viable for the machining process.

Effects of cleft lip on visual scanning and neural processing of infant faces.

Infant faces readily capture adult attention and elicit enhanced neural processing, likely due to their importance evolutionarily in facilitating bonds with caregivers. Facial malformations have been shown to impact early infant-caregiver interactions negatively. However, it remains unclear how such facial malformations may impact early visual processing. The current study used a combination of eye tracking and electroencephalography (EEG) to investigate adults' early visual processing of infant faces with cleft lip/palate as compared to normal infant faces, as well as the impact cleft palate has on perceived cuteness. The results demonstrated a significant decrease in early visual attention to the eye region for infants with cleft palate, while increased visual attention is registered on the mouth region. Increased neural processing of the cleft palate was evident at the N170 and LPP, suggesting differences in configural processing and affective responses to the faces. Infants with cleft palate were also rated significantly less cute than their healthy counterparts (mean difference = .73, p < .001). These results suggest that infants' faces with cleft lip/palate are processed differently at early visual perception. These processing differences may contribute to several important aspects of development (e.g., joint attention) and may play a vital role in the previously observed difficulties in mother-infant interactions.

Binocular rivalry reveals differential face processing in congenital prosopagnosia

Congenital Prosopagnosia (CP) is an innate impairment in face perception with heterogeneous characteristics. It is still unclear if and to what degree holistic processing of faces is disrupted in CP. Such disruption would be expected to lead to a focus on local features of the face. In this study, we used binocular rivalry (BR) to implicitly measure face perception in conditions that favour holistic or local processing. The underlying assumption is that if stimulus saliency affects the perceptual dominance of a given stimulus in BR, one can deduce how salient a stimulus is for a given group (here: participants with and without CP) based on the measured perceptual dominance. A further open question is whether the deficit in face processing in CP extends to the processing of the facial display of emotions. In experiment 1, we compared predominance of upright and inverted faces displaying different emotions (fearful, happy, neutral) vs. houses between participants with CP (N = 21) and with normal face perception (N = 21). The results suggest that CP observers process emotions in faces automatically but rely more on local features than controls. The inversion of faces, which is supposed to disturb holistic processing, affected controls in a more pronounced way than participants with CP. In experiment 2, we introduced the Thatcher effect in BR by inverting the eye and mouth regions of the presented faces in the hope of further increasing the effect of face inversion. However, our expectations were not borne out by the results. Critically, both experiments showed that inversion effects were more pronounced in controls than in CP, suggesting that holistic face processing is less relevant in CP. We find BR to be a useful implicit test for assessing visual processing specificities in neurological participants.

FARMER TO CONSUMER – AN ONLINE SUPPLY CHAIN PROCESS SYSTEM USING BLOCKCHAIN TECHNOLOGY

Globally, the mango industry is one of the largest industrial sectors – also considered the backbone industry of the country’s agriculture sector. This sector mobilizes key industrial activities of many economies, such as agriculture, production, handling, storage, logistics, certification, and packing of a variety of mangoes (e.g., with over 1,500 varieties, of which at least 30 are grown commercially in Pakistan). From local, regional, and national, to international levels, many businesses in this sector are involved in extensive mango supply networks fulfilling the demands of many consumers and markets (e.g., B2B, B2C, etc.) locally worldwide. Currently, 43% of total farmers in Pakistan are smallholder farmers, as they possess less than 2.6 hectares of land. Intermediaries dominate the entire supply chain in Pakistan, due to which small to average farmers face several challenges. This can be avoided by developing a user-friendly system to link farmers directly to the market or consumers. The proposed system identifies the gaps in the process model of Pakistan’s mango supply chain system. It creates a platform to link farmers directly to the market or consumers through a seamless online system using blockchain technology for performing reliable transactions using smart contracts. The proposed system is implemented through Ethereum, a permissioned blockchain network using Smart Contracts. It is a distributed ledger accessible to participants of the supply chain with permission to ensure the trust and authenticity of the information. By using this system, the farmers will attain increased profit through direct access to retailers, consumers, and the international market.

Attractive combinations of female gingival displays, buccal corridor sizes, and facial heights according to orthodontists, dentists, and laypeople of different ages and sexes: a psychometric study

IntroductionEsthetics plays a crucial role in orthodontics and many other dental and medical fields. To date, no study has assessed the combined effects of the 3 facial features ‘facial height, gingival display (GD), and buccal corridor size (BC)’ on facial/smile beauty. Therefore, this study was conducted for the first time.MethodsIn this psychometric diagnostic study, beauty of 27 randomized perceptometric images of a female model with variations in facial heights (short, normal, long), gingival displays (0, 2, 4, 6 mm), and buccal corridor sizes (2%, 10%, 15%, 20%, 25%) were evaluated by 108 judges (36 orthodontists, 36 dentists, 36 laypeople) using a 5-scale Likert scale (1 to 5). Combined effects of facial heights, GDs, BCs, judges’ sexes, ages, and jobs, and their 2-way interactions were tested using a mixed-model multiple linear regression and a Bonferroni test. Zones of ideal features were determined for all judges and also for each group using repeated-measures ANOVAs and the Bonferroni test (α=0.05).ResultsJudges’ sex but not their age or expertise might affect their perception of female beauty: men gave higher scores. The normal face was perceived as more beautiful than the long face (the short face being the least attractive). Zero GD was the most attractive followed by 4 mm; 6 mm was the least appealing. BCs of 15% followed by 10% were the most attractive ones, while 25% BC was the worst. The zone of ideal anatomy was: long face + 0mm GD + 15% BC; normal face + 2mm GD + 15% BC; long face + 2mm GD + 15% BC; normal face + 0mm GD + 15% BC.ConclusionsNormal faces, zero GDs, and 15% BCs may be the most appealing. Facial heights affect the perception of beauty towards GDs but not BCs.

Fetal face shape analysis from prenatal 3D ultrasound images

3D ultrasound imaging of fetal faces has been predominantly confined to qualitative assessment. Many genetic conditions evade diagnosis and identification could assist with parental counselling, pregnancy management and neonatal care planning. We describe a methodology to build a shape model of the third trimester fetal face from 3D ultrasound and show how it can objectively describe morphological features and gestational-age related changes of normal fetal faces. 135 fetal face 3D ultrasound volumes (117 appropriately grown, 18 growth-restricted) of 24-34 weeks gestation were included. A 3D surface model of each face was obtained using a semi-automatic segmentation workflow. Size normalisation and rescaling was performed using a growth model giving the average size at every gestation. The model demonstrated a similar growth rate to standard head circumference reference charts. A landmark-free morphometry model was estimated to characterize shape differences using non-linear deformations of an idealized template face. Advancing gestation is associated with widening/fullness of the cheeks, contraction of the chin and deepening of the eyes. Fetal growth restriction is associated with a smaller average facial size but no morphological differences. This model may eventually be used as a reference to assist in the prenatal diagnosis of congenital anomalies with characteristic facial dysmorphisms.