Age Sensitivity of Face Recognition Algorithms

This paper investigates the performance degradation of facial recognition systems due to the influence of age. A comparative analysis of verification performance is conducted for four subspace projection techniques combined with four different distance metrics. The experimental results based on a subset of the MORPH-II database show that the choice of subspace projection technique and associated distance metric can have a significant impact on the performance of the face recognition system for particular age groups

Patient satisfaction with the quality of care in a primary health care setting in Botswana

Background: Primary health care involves a sustained partnership between patients and providers that addresses the majority of a population’s health needs over time. Patients’ perception of satisfaction is an aspect of healthcare quality that is being increasingly recognised for its importance. The objective of this study was to investigate the factors contributing to patients’ satisfaction with and their rating of the quality of care in Extension II Clinic in Gaborone, Botswana.Method: This was a cross-sectional study in which 360 systematically selected participants completed five-point Likert scale self-administered questionnaires.Results: Overall, participants were quite satisfied (mean score = 3.75) with the services provided by the different service providers. The participants indicated that overall, the quality of care of the health care facility was good (mean score = 3.45). The pharmacy received the highest satisfaction level with a mean rating of 4.1. Thirty-eight per cent of the participants rated the services provided by the doctors as best despite giving the highest quality ratings with a mean of 3.9 to the pharmacy compared to mean ratings of 3.4 for the doctors. The participants’ greatest displeasure was with the time spent at the facility, as 63.9% of them were displeased with this aspect. A total of 36.9% was most pleased with information given to them as a factor of importance.Conclusion: The participants were quite satisfied with the services provided as well as the quality of care provided by the different service providers of the health care facility. There is, however, a need for interventions in terms of time spent at the facility, which would promote good customer-focused service delivery.Keywords: factors; satisfaction; quality of care; primary health care; Botswana; patient

Information Content of Insider Trades, IPO lockup Expiration and long-run IPO performance

A number of previous studies have assessed whether insider trades convey information to the market. Whilst lots of research has been undertaken in the past three decades, the issue is still contentious and there is ongoing debate concerning the legality and profitability of insider trading. Regulators restrict insider trading before any material news announcements, so that insider cannot take advantage of private information. Motivated by the studies in individual and aggregate insider trading, the objective of this thesis is to understand the role of signals that insiders send to the financial market about their companies when they trade, in general and to assess the role of insider trading in the context of initial public offerings (IPOs), particularly under lockup restrictions and the high information asymmetries inherent in IPOs

Semi-Automated & Collaborative Online Training Module For Improving Communication Skills

This is the author accepted manuscript. The final version is available from ACM via the DOI in this recordThis paper presents a description and evaluation of the ROC Speak system, a platform that allows ubiquitous access to communication skills training. ROC Speak (available at rocspeak.com) enables anyone to go to a website, record a video, and receive feedback on smile intensity, body movement, volume modulation, filler word usage, unique word usage, word cloud of the spoken words, in addition to overall assessment and subjective comments by peers. Peer comments are automatically ranked and sorted for usefulness and sentiment (i.e., positive vs. negative). We evaluated the system with a diverse group of 56 online participants for a 10-day period. Participants submitted responses to career oriented prompts every other day. The participants were randomly split into two groups: 1) treatment - full feedback from the ROC Speak system; 2) control - written feedback from online peers. When judged by peers (p<.001) and independent raters (p<.05), participants from the treatment group demonstrated statistically significant improvement in overall speaking skills rating while the control group did not. Furthermore, in terms of speaking attributes, treatment group showed an improvement in friendliness (p<.001), vocal variety (p<.05) and articulation (p<.01)

CovTiNet: Covid text identification network using attention-based positional embedding feature fusion

Covid text identification (CTI) is a crucial research concern in natural language processing (NLP). Social and electronic media are simultaneously adding a large volume of Covid-affiliated text on the World Wide Web due to the effortless access to the Internet, electronic gadgets and the Covid outbreak. Most of these texts are uninformative and contain misinformation, disinformation and malinformation that create an infodemic. Thus, Covid text identification is essential for controlling societal distrust and panic. Though very little Covid-related research (such as Covid disinformation, misinformation and fake news) has been reported in high-resource languages (e.g. English), CTI in low-resource languages (like Bengali) is in the preliminary stage to date. However, automatic CTI in Bengali text is challenging due to the deficit of benchmark corpora, complex linguistic constructs, immense verb inflexions and scarcity of NLP tools. On the other hand, the manual processing of Bengali Covid texts is arduous and costly due to their messy or unstructured forms. This research proposes a deep learning-based network (CovTiNet) to identify Covid text in Bengali. The CovTiNet incorporates an attention-based position embedding feature fusion for text-to-feature representation and attention-based CNN for Covid text identification. Experimental results show that the proposed CovTiNet achieved the highest accuracy of 96.61±.001% on the developed dataset (BCovC) compared to the other methods and baselines (i.e. BERT-M, IndicBERT, ELECTRA-Bengali, DistilBERT-M, BiLSTM, DCNN, CNN, LSTM, VDCNN and ACNN)

Development of duplex eye contact framework for human-robot inter communication

Funding Information: This work was supported in part by the National Research Foundation of Korea-Grant funded by the Korean Government (Ministry of Science and ICT) under Grant NRF 2020R1A2B5B02002478, in part by the Sejong University through its Faculty Research Program, and in part by the Directorate of Research and Extension (DRE), Chittagong University of Engineering and Technology.Peer reviewedPublisher PD