Traumatic intractable epistaxis following fractures of the facial and base of skull rarely may be life-threatening. Common sites of injury are the internal carotid and maxillary artery. When conventional methods of arresting haemorrhage fail, the choices are then an open arterial ligation or superselective embolisation. This paper presents a patient with life-threatening epistaxis from a Le Fort type II fracture. Angiography revealed a maxillary artery injury in which superselective embolisation was performed and the haemorrhage was successfully arrested. A literature review of this technique is discussed, including its advantages and the relationship of the internal maxillary artery to facial fractures.
The paper discusses the management of two individuals with asymptomatic hypertriglyceredemia, a common problem faces by Family Physicians in Malaysia. In such instances it is advisable to exclude an underlying disorder (e.g. metabolic syndrome) and take a pragmatic approach.
The vast majority of its population being a pastoralist community, the Somali region in Ethiopia shares the longest border with its neighboring east African countries. These communities face a high risk for transmission of imported COVID-19 cases and remain vulnerable due to lack of access to health delivery and low utilisation of services. Valuable lessons from other countries, has placed the One Health Approach as an appropriate, feasible and applicable preventive and control measure for COVID-19. This paper discusses the epidemiological and social susceptibility of pastoral communities in the transmission of COVID-19 and the introduction of One Health Approach as an effective inter-disciplinary response and management.
The article identifies the relationship among different agile software development approaches such as response extensiveness, response efficiency, team autonomy, team diversity, and software functionality that software teams face difficult challenges in associating and achieving the right balance between the two agility dimensions. This research strategy, in terms of quantity, is descriptive and correlational. Statistical analysis of the data was carried out, using SmartPLS 3.0. Statistical population, consist of employees of software industries in Bangladesh, who were engaged in 2017 and their total number is about 100 people. The data show that the response extensiveness, response efficiency, team autonomy, team diversity, and software functionality have impact on software development agility and software development performance.
Over the years, neuroscientists and psychophysicists have been asking whether data acquisition for facial analysis should be performed holistically or with local feature analysis. This has led to various advanced methods of face recognition being proposed, and especially techniques using facial landmarks. The current facial landmark methods in 3D involve a mathematically complex and time-consuming workflow involving semi-landmark sliding tasks. This paper proposes a homologous multi-point warping for 3D facial landmarking, which is verified experimentally on each of the target objects in a given dataset using 500 landmarks (16 anatomical fixed points and 484 sliding semi-landmarks). This is achieved by building a template mesh as a reference object and applying this template to each of the targets in three datasets using an artificial deformation approach. The semi-landmarks are subjected to sliding along tangents to the curves or surfaces until the bending energy between a template and a target form is minimal. The results indicate that our method can be used to investigate shape variation for multiple datasets when implemented on three databases (Stirling, FRGC and Bosphorus).
Conventional and license-free radio-controlled drone activities are limited to a line-of-sight (LoS) operational range. One of the alternatives to operate the drones beyond the visual line-of-sight (BVLoS) range is replacing the drone wireless communications system from the conventional industrial, scientific, and medical (ISM) radio band to a licensed cellular-connected system. The Long Term Evolution (LTE) technology that has been established for the terrestrial area allows command-and-control and payload communications between drone and ground station in real-time. However, with increasing height above the ground, the radio environment changes, and utilizing terrestrial cellular networks for drone communications may face new challenges. In this regard, this paper aims to develop an LTE-based control system prototype for low altitude small drones and investigate the feasibility and performance of drone cellular connectivity at different altitudes with measuring parameters such as latency, handover, and signal strength. The measurement results have shown that by increasing flight height from ground to 170 m the received signal power and the signal quality levels were reduced by 20 dBm and 10 dB respectively, the downlink data rate decreased to 70%, and latency increased up to 94 ms. It is concluded that although the existing LTE network can provide a minimum requirement for drone cellular connectivity, further improvements are still needed to enhance aerial coverage, eliminate interference, and reduce network latency.
Facial recognition has a significant application for security, especially in surveillance technologies. In surveillance systems, recognizing faces captured far away from the camera under various lighting conditions, such as in the daytime and nighttime, is a challenging task. A system capable of recognizing face images in both daytime and nighttime and at various distances is called Cross-Spectral Cross Distance (CSCD) face recognition. In this paper, we proposed a phase-based CSCD face recognition approach. We employed Homomorphic filtering as photometric normalization and Band Limited Phase Only Correlation (BLPOC) for image matching. Different from the state-of-the-art methods, we directly utilized the phase component from an image, without the need for a feature extraction process. The experiment was conducted using the Long-Distance Heterogeneous Face Database (LDHF-DB). The proposed method was evaluated in three scenarios: (i) cross-spectral face verification at 1m, (ii) cross-spectral face verification at 60m, and (iii) cross-spectral face verification where the probe images (near-infrared (NIR) face images) were captured at 1m and the gallery data (face images) was captured at 60 m. The proposed CSCD method resulted in the best recognition performance among the CSCD baseline approaches, with an Equal Error Rate (EER) of 5.34% and a Genuine Acceptance Rate (GAR) of 93%.
This paper discusses the evolution of PSR development for people with severe mental illness since the early 20th century in Malaysia. The various aspects of PSR include the activities, service target, the treatment settings, factors contributed to the development and the challenges that have been faced are also described along with the evolution, comparing the past and
present. It is learned that despite of many challenges, PSR in Malaysia has now continued to progress with increasing supports from the stakeholders and is in keeping with the current PSR concept.
The surface facial imagings have many applications in medical fields. The recent past has seen great advances in three dimensional imaging which include laser scanning or stereophotogrammetry. Here, we reviewed various systems with reference to image acquisition, advantages and disadvantages. Examples of important clinical application with reference to the human face are also discussed. Finally, a 3D imaging system at Universiti Sains Malaysia (USM) is described.
Anomalies of the genitourinary tract occur in approximately 10% of the population and account for about one third of all congenital malformations in children (1). Congenital malformations involving the genitourinary system are major therapeutic challenges faced by the practising urologist.
Skin detection has gained popularity and importance in the computer vision community. It is an essential step for important vision tasks such as the detection, tracking and recognition of face, segmentation of hand for gesture analysis, person identification, as well as video surveillance and filtering of objectionable web images. All these applications are based on the assumption that the regions of the human skin are already located. In the recent past, numerous techniques for skin colour modeling and recognition have been proposed. The aims of this paper are to compile the published pixel-based skin colour detection techniques to describe their key concepts and try to find out and summarize their advantages, disadvantages and characteristic features.
A 57-year old woman presented with acute bleeding from the left ear associated with reduced hearing and tinnitus. She also complained of redness and discomfort of her left eye; but there was no visual loss. A day before, she was slapped on the left side of her face. Previously, she did not have any hearing or visual problem.
Temporary obturator is necessary for maxillectomy procedures to minimise functional disabilities of speech and the swallowing of food and fluid following surgery.l.2 It also provides a base to hold surgical packing and/ or tissue conditioners in place. This packing helps to restore function and counter act contraction during healing of the ,tissues at the operated site. Dental clinicians are often faced with the problem of surgical staffs requesting an obturator for their patients at short notice.This article describes a fast technique of constructing an immediate surgical obturator.
Robotic navigation has remained an open issue through the last two decades. Mobile robot
is required to navigate safely to goal location in presence of obstacles. Recently the use of mobile
robot in unknown dynamic environment has significantly increased. The aim of this paper is to offer a
comprehensive review over different approaches to mobile robots in dynamic environments,
particularly on how they solve many issues that face the researchers recently. This paper also explains
the advantages and drawbacks of each reviewed paper. The authors decide to categorize these articles
based on the entire content of each paper into ten common challenges which have been discussed in
this paper, including: traveling distance, traveling time, safety, motion control, smooth path, future
prediction, stabilization, competence, precision, and low computation cost. Finally, some open areas
and challenging topics are offered according to the articles mentioned.
Pedestrians' fatality trend in road crashes has been improving in recent years though it remains third in rank behind
motorcyclists and car occupants. Based on the statistics, young pedestrians were the most affected group and the
commonest injury regions were head and legs. Pedestrian crashes occurred primarily in rural areas and straight roads
and at low light environment, and often involve cars and motorcycles. In addition to existing issues of careless and
illegal crossing practices, there are potential new hazards face by pedestrian, which are mobile electronic device use
and electric vehicle, especially when crossing roads. Road safety programs and interventions shall consider these new
issues.
One of the hardest challenges in marriage are how to face negative thoughts that arised from difficult
situations such as feeling inferior, abandoned, mistrust, and excessive jealousy. From the Cognitive-
Behavioral perspective, these feelings are being exacerbated by unhealthy individual thought patterns
originating from society and family upbringing. This article discusses the unhealthy thought patterns
that are common in marriage, and strategies in changing these thought patterns by using healthy
templates of Islamic thought patterns.
Establishing identification during skull-photo superimposition relies on correlating the salient morphological features of an unidentified skull with those of a face-image of a suspected dead individual using image overlay processes. Technical progression in the process of overlay has included the incorporation of video cameras, image-mixing devices and software that enables real-time vision-mixing. Conceptual transitions occur in the superimposition methods that involve 'life-size' images, that achieve orientation of the skull to the posture of the face in the photograph and that assess the extent of match. A recent report on the reliability of identification using the superimposition method adopted the currently prevalent methods and suggested an increased rate of failures when skulls were compared with related and unrelated face images. The reported reduction in the reliability of the superimposition method prompted a review of the transition in the concepts that are involved in skull-photo superimposition. The prevalent popular methods for visualizing the superimposed images at less than 'life-size', overlaying skull-face images by relying on the cranial and facial landmarks in the frontal plane when orienting the skull for matching and evaluating the match on a morphological basis by relying on mix-mode alone are the major departures in the methodology that may have reduced the identification reliability. The need to reassess the reliability of the method that incorporates the concepts which have been considered appropriate by the practitioners is stressed.
Recent research has shown facial adiposity (apparent weight in the face) to be a significant predictor of both attractiveness and health, thus making it an important determinant of mate selection. Studies looking at the relationship between attractiveness and health have shown that individuals differentiate between the two by preferring a lower weight for attractiveness than for health in female faces. However, these studies have either been correlational studies, or have investigated weight perceived from only the face. These differences have been discussed with regard to sociocultural factors such as pressure from parents, peers and also media, which has been seen to have the highest influence. While exposure to media images has been shown to influence women's own-body image, no study has yet directly tested the influence of these factors on people's preferred weight in other women's bodies. Here we examine how a short exposure to images of models influences men's and women's judgments of the most healthy looking and attractive BMI in Malaysian Chinese women's bodies by comparing differences in preferences (for attractiveness and health) between groups exposed to images of models of varying attractiveness and body weight. Results indicated that participants preferred a lower weight for attractiveness than for health. Further, women's but not men's preferred BMI for attractiveness, but not health, was influenced by the type of media images to which they were exposed, suggesting that short term exposure to model images affect women's perceptions of attractiveness but not health.
Color is one of the most prominent features of an image and used in many skin and face detection applications. Color space transformation is widely used by researchers to improve face and skin detection performance. Despite the substantial research efforts in this area, choosing a proper color space in terms of skin and face classification performance which can address issues like illumination variations, various camera characteristics and diversity in skin color tones has remained an open issue. This research proposes a new three-dimensional hybrid color space termed SKN by employing the Genetic Algorithm heuristic and Principal Component Analysis to find the optimal representation of human skin color in over seventeen existing color spaces. Genetic Algorithm heuristic is used to find the optimal color component combination setup in terms of skin detection accuracy while the Principal Component Analysis projects the optimal Genetic Algorithm solution to a less complex dimension. Pixel wise skin detection was used to evaluate the performance of the proposed color space. We have employed four classifiers including Random Forest, Naïve Bayes, Support Vector Machine and Multilayer Perceptron in order to generate the human skin color predictive model. The proposed color space was compared to some existing color spaces and shows superior results in terms of pixel-wise skin detection accuracy. Experimental results show that by using Random Forest classifier, the proposed SKN color space obtained an average F-score and True Positive Rate of 0.953 and False Positive Rate of 0.0482 which outperformed the existing color spaces in terms of pixel wise skin detection accuracy. The results also indicate that among the classifiers used in this study, Random Forest is the most suitable classifier for pixel wise skin detection applications.