An anatomical and analytical study of the Modiolus: Enlightening its relevance to plastic surgery

Background: This study was designed to evaluate the structures, muscles, and fasciae of which the modiolus is composed. It can aid in the understanding and, therefore, the utilization of plastic surgery for the aesthetic or reconstructive treatment of that region, especially the angle of the mouth. Methods: Dissections of the midface were done on five different cadavers. They were of different races (3 males, 2 females). The anatomy of the modiolus was studied in detail. New anatomical observations were classified as type I through type VI. Results: The perifacial artery fascia contributed to the modiolus in four (80%) specimens and was not part of it in 1 (20%) specimen. The facial artery was anterior to it in one (20%) specimen, lateral in four (80%) specimens, and never medial to it. No significant relationship was observed between the perifacial artery fascia contribution to the modiolus and gender or race. Also, the location of the facial artery lateral or anterior to the modiolus was not significantly related to gender or race. In addition, the deep and superficial fasciae of the face converged not anterior to the masseter muscle but actually at the modiolus, which was different from observations made by others. Conclusion: The modiolus is of critical importance in aesthetic and reconstructive plastic surgery of the face. © 2008 Springer Science+Business Media, LLC and International Society of Aesthetic Plastic Surgery.

Photosensitisers - the progression from photodynamic therapy to anti-infective surfaces

Introduction: The application of light as a stimulus in pharmaceutical systems and the associated ability to provide precise spatiotemporal control over location, wavelength and intensity, allowing ease of external control independent of environmental conditionals, has led to its increased use. Of particular note is the use of light with photosensitisers.

Areas covered: Photosensitisers are widely used in photodynamic therapy to cause a cidal effect towards cells on irradiation due to the generation of reactive oxygen species. These cidal effects have also been used to treat infectious diseases. The effects and benefits of photosensitisers in the treatment of such conditions are still being developed and further realised, with the design of novel delivery strategies. This review provides an overview of the realisation of the pharmaceutically relevant uses of photosensitisers, both in the context of current research and in terms of current clinical application, and looks to the future direction of research.

Expert opinion: Substantial advances have been and are being made in the use of photosensitisers. Of particular note are their antimicrobial applications, due to absence of resistance that is so frequently associated with conventional treatments. Their potency of action and the ability to immobilise to polymeric supports is opening a wide range of possibilities with great potential for use in healthcare infection prevention strategies.

Anatomic dissection of the arterial supply of the lips:an anatomical and analytical approach

Previous investigators have not described some of the new anatomic variations or provided quantitative and analytical data of the arterial anatomy of the lips in as much depth as in this study. Dissections of 14 different facial sides of cadavers were done. Through investigating the arterial supply of the upper and lower lips, measurements were performed and statistically analyzed. The main arterial supply of the upper lip was from the superior labial artery (SLA, mean external diameter, 1.8 mm [SD, 0.74 mm]); in addition, the subalar and septal branches contributed to its vascularization. The origin of the SLA was above the labial commissure in 78.6%. The subalar branch was not found but replaced by the alar artery that arose from the infraorbital artery in 1 specimen. The main arterial supply of the lower lip was derived from 3 branches of the facial artery, the inferior labial artery (mean external diameters, 1.4 mm [SD, 0.31 mm]) and the horizontal and vertical labiomental arteries. The inferior labial artery originated mostly below the labial commissure in 42.9% and formed a common trunk with the SLA in 28.6%. The horizontal labiomental artery was present in all, but vertical labiomental artery was absent in 21.4% of specimens. Overall, observed anatomic variations were classified into types I to VIII. Significant relations between the demographic variables and measured parameters were reported including the correlation coefficient among evaluated parameters. In conclusion, this study provides various information that aids in creating new flaps and supports the vascular base for clinical procedures in reconstructive surgery of the lip.

Laughter Type Recognition from Whole Body Motion

Despite the importance of laughter in social interactions it remains little studied in affective computing. Respiratory, auditory, and facial laughter signals have been investigated but laughter-related body movements have received almost no attention. The aim of this study is twofold: first an investigation into observers' perception of laughter states (hilarious, social, awkward, fake, and non-laughter) based on body movements alone, through their categorization of avatars animated with natural and acted motion capture data. Significant differences in torso and limb movements were found between animations perceived as containing laughter and those perceived as nonlaughter. Hilarious laughter also differed from social laughter in the amount of bending of the spine, the amount of shoulder rotation and the amount of hand movement. The body movement features indicative of laughter differed between sitting and standing avatar postures. Based on the positive findings in this perceptual study, the second aim is to investigate the possibility of automatically predicting the distributions of observer's ratings for the laughter states. The findings show that the automated laughter recognition rates approach human rating levels, with the Random Forest method yielding the best performance.

Perception and Automatic Recognition of Laughter from Whole-Body Motion: Continuous and Categorical Perspectives

Despite its importance in social interactions, laughter remains little studied in affective computing. Intelligent virtual agents are often blind to users’ laughter and unable to produce convincing laughter themselves. Respiratory, auditory, and facial laughter signals have been investigated but laughter-related body movements have received less attention. The aim of this study is threefold. First, to probe human laughter perception by analyzing patterns of categorisations of natural laughter animated on a minimal avatar. Results reveal that a low dimensional space can describe perception of laughter “types”. Second, to investigate observers’ perception of laughter (hilarious, social, awkward, fake, and non-laughter) based on animated avatars generated from natural and acted motion-capture data. Significant differences in torso and limb movements are found between animations perceived as laughter and those perceived as non-laughter. Hilarious laughter also differs from social laughter. Different body movement features were indicative of laughter in sitting and standing avatar postures. Third, to investigate automatic recognition of laughter to the same level of certainty as observers’ perceptions. Results show recognition rates of the Random Forest model approach human rating levels. Classification comparisons and feature importance analyses indicate an improvement in recognition of social laughter when localized features and nonlinear models are used.

Global Sensitivity Analysis for MAP Inference in Graphical Models

We study the sensitivity of a MAP configuration of a discrete probabilistic graphical model with respect to perturbations of its parameters. These perturbations are global, in the sense that simultaneous perturbations of all the parameters (or any chosen subset of them) are allowed. Our main contribution is an exact algorithm that can check whether the MAP configuration is robust with respect to given perturbations. Its complexity is essentially the same as that of obtaining the MAP configuration itself, so it can be promptly used with minimal effort. We use our algorithm to identify the largest global perturbation that does not induce a change in the MAP configuration, and we successfully apply this robustness measure in two practical scenarios: the prediction of facial action units with posed images and the classification of multiple real public data sets. A strong correlation between the proposed robustness measure and accuracy is verified in both scenarios.

Semi-Qualitative Probabilistic Networks in Computer Vision Problems

This paper explores the application of semi-qualitative probabilistic networks (SQPNs) that combine numeric and qualitative information to computer vision problems. Our version of SQPN allows qualitative influences and imprecise probability measures using intervals. We describe an Imprecise Dirichlet model for parameter learning and an iterative algorithm for evaluating posterior probabilities, maximum a posteriori and most probable explanations. Experiments on facial expression recognition and image segmentation problems are performed using real data.

Mer and fac isomerism in tris chelate diimine metal complexes

In this perspective, we highlight the issue of meridional (mer) and facial (fac) orientation of asymmetrical diimines in tris-chelate transition metal complexes. Diimine ligands have long been the workhorse of coordination chemistry, and whilst there are now good strategies to isolate materials where the inherent metal centered chirality is under almost complete control, and systematic methodologies to isolate heteroleptic complexes, the conceptually simple geometrical isomerism has not been widely investigated. In systems where the two donor atoms are significantly different in terms of the σ-donor and π-accepting ability, the fac isomer is likely to be the thermodynamic product. For the diimine complexes with two trigonal planar nitrogen atoms there is much more subtlety to the system, and external factors such as the solvent, lattice packing and the various steric considerations play a delicate role in determining the observed and isolable product. In this article we discuss the possibilities to control the isomeric ratio in labile systems, consider the opportunities to separate inert complexes and discuss the observed differences in their spectroscopic properties. Finally we report on the ligand orientation in supramolecular systems where facial coordination leads to simple regular structures such as helicates and tetrahedra, but the ability of the ligand system to adopt a mer orientation enables self-assembled structures of considerable beauty and complexity. 

Robust bimodal person identification using face and speech with limited training data and corruption of both modalities

This paper presents a novel method of audio-visual fusion for person identification where both the speech and facial modalities may be corrupted, and there is a lack of prior knowledge about the corruption. Furthermore, we assume there is a limited amount of training data for each modality (e.g., a short training speech segment and a single training facial image for each person). A new representation and a modified cosine similarity are introduced for combining and comparing bimodal features with limited training data as well as vastly differing data rates and feature sizes. Optimal feature selection and multicondition training are used to reduce the mismatch between training and testing, thereby making the system robust to unknown bimodal corruption. Experiments have been carried out on a bimodal data set created from the SPIDRE and AR databases with variable noise corruption of speech and occlusion in the face images. The new method has demonstrated improved recognition accuracy.

Nerve Growth Factor Sensitisation of TRPA1 on Sensory Neurones

Background: Sensory neurones from the trigeminal nerve innervate the oro-facial region and teeth. Transient receptor potential channels (TRPs) expressed by these neurones are responsible for relaying sensory information such as changes in ambient temperature, mechanical sensations and pain. Study of TRP channel expression and regulation in human sensory neurones therefore merits investigation to improve our understanding of allodynia and hyperalgesia. Objective: The objective of this study was to differentiate human dental pulp stem cells (hDPSCs) towards a neuronal phenotype (peripheral neuronal equivalents; PNEs) and employ this model to study TRP channel sensitisation. Method: hDPSCs were enriched by preferential adhesion to fibronectin, plated on coverslips (thickness 0) coated with poly-l-ornithine and laminin and then differentiated for 7 days in neurobasal A medium with additional supplementation. A whole cell patch clamp technique was used to investigate whether TRP channels on PNE membranes were modulated in the presence of nerve growth factor (NGF). PNEs were treated with NGF for 20 minutes immediately before experimentation and then stimulated for TRPA1 activity using cinnamaldehyde. Peak currents were read at 80 mV and -80 mV and compared to peak currents recorded in untreated PNEs. Data were analysed and plotted using Clampfit9 software (Molecular Devices, Sunnyvale, California, USA). Result: Results showed for the first time that pre-treatment of PNEs by NGF produced significantly larger inward and outward currents demonstrating that TRPA1 channels on PNE membranes were capable of becoming sensitised following treatment with NGF. Conclusion: Sensitisation of TRPA1 by NGF provides evidence of a mechanism for rapid neuronal sensitisation that is independent of TRPA1 gene expression

An in vitro model of nociceptors in human trigeminal nerves

Background: The oro-facial region is densely innervated by the trigeminal nerve, which when stimulated can induce noxious pain sensation and contribute to neurogenic inflammation in local tissues. Recent research on the expression of specialised ion channels on the trigeminal nerve has highlighted the need to undertake more extensive studies on ion channel expression/functionality with the aim of elucidating their role in pain sensations. A major family of such ion channels is the transient receptor potential (TRP) channels which are activated by a wide variety of thermal, mechanical or chemical stimuli and merit investigation as possible druggable targets for future analgesics.
Objective: Study of TRP channel expression and regulation in oro-facial tissues is hindered by the fact that the cell bodies of neurons innervating these tissues are located in the trigeminal ganglion. Using dental pulp stem cells differentiated towards peripheral neuronal equivalents (PNEs), we sought to determine TRP channel expression, functionality and potential modulation by cytokines in this novel model.
Method: Dental pulp stem cells (DPSCs) were grown on substrate-coated tissue culture plates and differentiated towards a neuronal phenotype using neuronal induction media. Quantitative polymerase chain reaction (qPCR) was performed on PNEs +/-cytokine treatment. Ion channel functionality was investigated using whole cell patch clamping.
Result: qPCR analysis showed that PNEs expressed the TRP channels TRPA1, TRPV1, TRPV4 and TRPM8. TRPA1 was the most abundantly expressed TRP channel studied whereas TRPM8 was lowly expressed. TRP channel expression was shown to be regulated by treatment with inflammatory cytokines. Patch clamp studies using specific agonists and antagonists for TRPA1 and TRPV1 showed these channels were functional.
Conclusion: PNEs differentiated from DPSCs provide a suitable model for TRP channel expression, regulation, and sensistisation in oro-facial tissues. This human neuronal model has potential for use in pre-clinical studies of novel analgesics.

Exposure to children and risk of active trachoma in Tanzanian women

The authors surveyed the trachoma status of 515 women aged 18-60 years and 527 children aged 1-7 years in the trachoma hyperendemic region of Kongwa, Tanzania, in 1989 to further describe the importance of exposure to young children as a risk factor for active trachoma in women. The women were identified as caretakers, who currently cared for children aged 1-7 years; noncaretakers, who lived with, but did not care for, children aged 1-7; or those without children aged 1-7 in the household. The age-adjusted odds ratios for active trachoma seemed to rise with greater exposure to young children, from 1.00 for women without such children, to 1.63 for noncaretakers and 2.43 for caretakers (trend test, p = 0.08). Among those who lived in households with young children, the prevalence of active trachoma in women increased with the total number of young children cared for and with the number of infected children cared for. The prevalence of active trachoma was 40% (6 of 15) for caretakers of three or more infected children, compared with 0 (0 of 88) for caretakers with no infected children (p < 0.0001). Caring for infected children also appeared to be associated with signs of chronic trachoma in caretakers. Noncaretakers who lived with infected children were not at a significantly increased risk for trachoma compared with noncaretakers who were not exposed to such children (5.4% (three of 56) vs. 5.6% (one of 18); p > 0.4). None of the facial signs observed in the children (flies on the face, nasal discharge, etc.) appeared to increase the odds ratio of active trachoma in caretakers beyond the increase associated with trachoma alone in the child. These data support the hypothesis that active disease in women is associated with direct caretaking of young children with active disease. Strategies that interrupt household transmission may affect the binding sequelae of trachoma in women.

Logic Brightens My Day: Evidence for Implicit Sensitivity to Logical Validity.

A key assumption of dual process theory is that reasoning is an explicit, effortful, deliberative process. The present study offers evidence for an implicit, possibly intuitive component of reasoning. Participants were shown sentences embedded in logically valid or invalid arguments. Participants were not asked to reason but instead rated the sentences for liking (Experiment 1) and physical brightness (Experiments 2-3). Sentences that followed logically from preceding sentences were judged to be more likable and brighter. Two other factors thought to be linked to implicit processing-sentence believability and facial expression-had similar effects on liking and brightness ratings. The authors conclude that sensitivity to logical structure was implicit, occurring potentially automatically and outside of awareness. They discuss the results within a fluency misattribution framework and make reference to the literature on discourse comprehension. 

Face Recognition in the Scrambled Domain via Salience-Aware Ensembles of Many Kernels

With the rapid development of internet-of-things (IoT), face scrambling has been proposed for privacy protection during IoT-targeted image/video distribution. Consequently in these IoT applications, biometric verification needs to be carried out in the scrambled domain, presenting significant challenges in face recognition. Since face models become chaotic signals after scrambling/encryption, a typical solution is to utilize traditional data-driven face recognition algorithms. While chaotic pattern recognition is still a challenging task, in this paper we propose a new ensemble approach – Many-Kernel Random Discriminant Analysis (MK-RDA) to discover discriminative patterns from chaotic signals. We also incorporate a salience-aware strategy into the proposed ensemble method to handle chaotic facial patterns in the scrambled domain, where random selections of features are made on semantic components via salience modelling. In our experiments, the proposed MK-RDA was tested rigorously on three human face datasets: the ORL face dataset, the PIE face dataset and the PUBFIG wild face dataset. The experimental results successfully demonstrate that the proposed scheme can effectively handle chaotic signals and significantly improve the recognition accuracy, making our method a promising candidate for secure biometric verification in emerging IoT applications.