Search results for: information transparency
7017 Comparing Emotion Recognition from Voice and Facial Data Using Time Invariant Features
Authors: Vesna Kirandziska, Nevena Ackovska, Ana Madevska Bogdanova
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The problem of emotion recognition is a challenging problem. It is still an open problem from the aspect of both intelligent systems and psychology. In this paper, both voice features and facial features are used for building an emotion recognition system. A Support Vector Machine classifiers are built by using raw data from video recordings. In this paper, the results obtained for the emotion recognition are given, and a discussion about the validity and the expressiveness of different emotions is presented. A comparison between the classifiers build from facial data only, voice data only and from the combination of both data is made here. The need for a better combination of the information from facial expression and voice data is argued.Keywords: emotion recognition, facial recognition, signal processing, machine learning
Procedia PDF Downloads 3167016 Health Transformation Program and Effects on Health Expenditures
Authors: Zeynep Karacor, Rahime Hulya Ozturk
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In recent years, the rise of population density and the problem of aging population took attention to the health expenditures. In Turkey, some regulations and infrastructure changes in health sector have occurred. These changes are called Health Transformation Program. The productivity of health services, patient satisfaction, quality of services are tried to be improved with this program. Some radical changes are applied in Turkish economy in this context. The aim of this paper is to present the effects of Health Transformation Program on health expenditures. In the first part of the paper, some information’s about health system and applications in Turkey are discussed. In the second part, the aims of Health Transformation Program are explained. And in the third part the effects of Health Transformation Program on health expenditures are examined.Keywords: health transformation program, Turkey, health services, health expenditures
Procedia PDF Downloads 3957015 RAPD Analysis of Genetic Diversity of Castor Bean
Authors: M. Vivodík, Ž. Balážová, Z. Gálová
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The aim of this work was to detect genetic variability among the set of 40 castor genotypes using 8 RAPD markers. Amplification of genomic DNA of 40 genotypes, using RAPD analysis, yielded in 66 fragments, with an average of 8.25 polymorphic fragments per primer. Number of amplified fragments ranged from 3 to 13, with the size of amplicons ranging from 100 to 1200 bp. Values of the polymorphic information content (PIC) value ranged from 0.556 to 0.895 with an average of 0.784 and diversity index (DI) value ranged from 0.621 to 0.896 with an average of 0.798. The dendrogram based on hierarchical cluster analysis using UPGMA algorithm was prepared and analyzed genotypes were grouped into two main clusters and only two genotypes could not be distinguished. Knowledge on the genetic diversity of castor can be used for future breeding programs for increased oil production for industrial uses.Keywords: dendrogram, polymorphism, RAPD technique, Ricinus communis L.
Procedia PDF Downloads 4717014 Representations of Childcare Robots as a Controversial Issue
Authors: Raya A. Jones
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This paper interrogates online representations of robot companions for children, including promotional material by manufacturers, media articles and technology blogs. The significance of the study lies in its contribution to understanding attitudes to robots. The prospect of childcare robots is particularly controversial ethically, and is associated with emotive arguments. The sampled material is restricted to relatively recent posts (the past three years) though the analysis identifies both continuous and changing themes across the past decade. The method extrapolates social representations theory towards examining the ways in which information about robotic products is provided for the general public. Implications for social acceptance of robot companions for the home and robot ethics are considered.Keywords: acceptance of robots, childcare robots, ethics, social representations
Procedia PDF Downloads 2527013 Anomaly Detection Based on System Log Data
Authors: M. Kamel, A. Hoayek, M. Batton-Hubert
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With the increase of network virtualization and the disparity of vendors, the continuous monitoring and detection of anomalies cannot rely on static rules. An advanced analytical methodology is needed to discriminate between ordinary events and unusual anomalies. In this paper, we focus on log data (textual data), which is a crucial source of information for network performance. Then, we introduce an algorithm used as a pipeline to help with the pretreatment of such data, group it into patterns, and dynamically label each pattern as an anomaly or not. Such tools will provide users and experts with continuous real-time logs monitoring capability to detect anomalies and failures in the underlying system that can affect performance. An application of real-world data illustrates the algorithm.Keywords: logs, anomaly detection, ML, scoring, NLP
Procedia PDF Downloads 947012 Unsupervised Learning of Spatiotemporally Coherent Metrics
Authors: Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun
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Current state-of-the-art classification and detection algorithms rely on supervised training. In this work we study unsupervised feature learning in the context of temporally coherent video data. We focus on feature learning from unlabeled video data, using the assumption that adjacent video frames contain semantically similar information. This assumption is exploited to train a convolutional pooling auto-encoder regularized by slowness and sparsity. We establish a connection between slow feature learning to metric learning and show that the trained encoder can be used to define a more temporally and semantically coherent metric.Keywords: machine learning, pattern clustering, pooling, classification
Procedia PDF Downloads 4567011 Escalation of Commitment and Turnover in Top Management Teams
Authors: Dmitriy V. Chulkov
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Escalation of commitment is defined as continuation of a project after receiving negative information about it. While literature in management and psychology identified various factors contributing to escalation behavior, this phenomenon has received little analysis in economics, potentially due to the apparent irrationality of escalation. In this study, we present an economic model of escalation with asymmetric information in a principal-agent setup where the agents are responsible for a project selection decision and discover the outcome of the project before the principal. Our theoretical model complements the existing literature on several accounts. First, we link the incentive to escalate commitment to a project with the turnover decision by the manager. When a manager learns the outcome of the project and stops it that reveals that a mistake was made. There is an incentive to continue failing projects and avoid admitting the mistake. This incentive is enhanced when the agent may voluntarily resign from the firm before the outcome of the failing project is revealed, and thus not bear the full extent of reputation damage due to project failure. As long as some successful managers leave the firm for extraneous reasons, outside firms find it difficult to link failing projects with certainty to managers that left a firm. Second, we demonstrate that non-CEO managers have reputation concerns separate from those of the CEO, and thus may escalate commitment to projects they oversee, when such escalation can attenuate damage to reputation from impending project failure. Such incentive for escalation will be present for non-CEO managers if the CEO delegates responsibility for a project to a non-CEO executive. If reputation matters for promotion to the CEO, the incentive for a rising executive to escalate in order to protect reputation is distinct from that of a CEO. Third, our theoretical model is supported by empirical analysis of changes in the firm’s operations measured by the presence of discontinued operations at the time of turnover among the top four members of the top management team. Discontinued operations are indicative of termination of failing projects at a firm. The empirical results demonstrate that in a large dataset of over three thousand publicly traded U.S. firms for a period from 1993 to 2014 turnover by top executives significantly increases the likelihood that the firm discontinues operations. Furthermore, the type of turnover matters as this effect is strongest when at least one non-CEO member of the top management team leaves the firm and when the CEO departure is due to a voluntary resignation and not to a retirement or illness. Empirical results are consistent with the predictions of the theoretical model and suggest that escalation of commitment is primarily observed in decisions by non-CEO members of the top management team.Keywords: discontinued operations, escalation of commitment, executive turnover, top management teams
Procedia PDF Downloads 3657010 Assessment and Analysis of Literary Criticism and Consumer Research
Authors: Mohammad Mirzaei
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This article proposes literary criticism as a source of insight into consumer behavior, provides an extensive overview of literary criticism, provides concrete illustrative analysis, and offers suggestions for further research. To do, a literary analysis of advertising copy identifies elements that provide additional information to consumer researchers and discusses the contribution of literary criticism to consumer research. Important post-war critical schools of thought are reviewed, and relevant theoretical concepts are summarized. Ivory Flakes' advertisements are analyzed using a variety of concepts drawn from literary schools, primarily sociocultural and reader responses. Suggestions for further research on content analysis, image analysis, and consumption history are presented.Keywords: consumer behaviour, consumer research, consumption history, criticism
Procedia PDF Downloads 1007009 Heart Murmurs and Heart Sounds Extraction Using an Algorithm Process Separation
Authors: Fatima Mokeddem
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The phonocardiogram signal (PCG) is a physiological signal that reflects heart mechanical activity, is a promising tool for curious researchers in this field because it is full of indications and useful information for medical diagnosis. PCG segmentation is a basic step to benefit from this signal. Therefore, this paper presents an algorithm that serves the separation of heart sounds and heart murmurs in case they exist in order to use them in several applications and heart sounds analysis. The separation process presents here is founded on three essential steps filtering, envelope detection, and heart sounds segmentation. The algorithm separates the PCG signal into S1 and S2 and extract cardiac murmurs.Keywords: phonocardiogram signal, filtering, Envelope, Detection, murmurs, heart sounds
Procedia PDF Downloads 1417008 Development of an Interagency Crime Management System for Nigeria’s Law Enforcement Agencies
Authors: Muhammad Abba Jallo, Fred Fudah Moveh
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This study addresses the challenges faced by Nigerian law enforcement agencies due to the lack of an integrated crime management system. While various agencies use ICT-based systems, the absence of interoperability creates barriers to effective collaboration and information sharing. The research proposes the development of an Interagency Crime Management System (ICMS), which integrates the Crime Management Systems (CMS) of different agencies through an Application Program Interface (API). The system is designed to allow all law enforcement agencies to input data using a standardized format, improving crime tracking, reporting, and management across Nigeria. This paper details the design and implementation process, highlighting the benefits of enhanced collaboration for crime management.Keywords: crime management, Nigeria, law enforcement, ICT
Procedia PDF Downloads 197007 Evaluating the Effects of Weather and Climate Change to Risks in Crop Production
Authors: Marcus Bellett-Travers
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Different modelling approaches have been used to determine or predict yield of crops in different geographies. Central to the methodologies are the presumption that it is the absolute yield of the crop in a given location that is of the highest priority to those requiring information on crop productivity. Most individuals, companies and organisations within the agri-food sector need to be able to balance the supply of crops with the demand for them. Different modelling approaches have been used to determine and predict crop yield. The growing need to ensure certainty of supply and stability of prices requires an approach that describes the risk in producing a crop. A review of current methodologies to evaluate the risk to food production from changes in the weather and climate is presented.Keywords: crop production, risk, climate, modelling
Procedia PDF Downloads 3867006 GIS Pavement Maintenance Selection Strategy
Authors: Mekdelawit Teferi Alamirew
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As a practical tool, the Geographical information system (GIS) was used for data integration, collection, management, analysis, and output presentation in pavement mangement systems . There are many GIS techniques to improve the maintenance activities like Dynamic segmentation and weighted overlay analysis which considers Multi Criteria Decision Making process. The results indicated that the developed MPI model works sufficiently and yields adequate output for providing accurate decisions. Hence considering multi criteria to prioritize the pavement sections for maintenance, as a result of the fact that GIS maps can express position, extent, and severity of pavement distress features more effectively than manual approaches, lastly the paper also offers digitized distress maps that can help agencies in their decision-making processes.Keywords: pavement, flexible, maintenance, index
Procedia PDF Downloads 627005 The Use of Electronic Shelf Labels in the Retail Food Sector
Authors: Brent McKenzie, Victoria Taylor
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The use of QR (Quick Response Codes) codes for customer scanning with mobile phones is a rapidly growing trend. The QR code can provide the consumer with product information, user guides, product use, competitive pricing, etc. One sector for QR use has been in retail, through the use of Electronic Shelf Labeling (henceforth, ESL). In Europe, the use of ESL for pricing has been in practice for a number of years but continues to lag in acceptance in North America. Stated concerns include costs as a key constraint, but there is also evidence that consumer acceptance represents a limitation as well. The purpose of this study is to present the findings of a consumer based study to gage the impact on their use in the retail food sector.Keywords: electronic price labels, consumer behaviour, grocery shopping, mixed methods research
Procedia PDF Downloads 3377004 Pythagorean-Platonic Lattice Method for Finding all Co-Prime Right Angle Triangles
Authors: Anthony Overmars, Sitalakshmi Venkatraman
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This paper presents a method for determining all of the co-prime right angle triangles in the Euclidean field by looking at the intersection of the Pythagorean and Platonic right angle triangles and the corresponding lattice that this produces. The co-prime properties of each lattice point representing a unique right angle triangle are then considered. This paper proposes a conjunction between these two ancient disparaging theorists. This work has wide applications in information security where cryptography involves improved ways of finding tuples of prime numbers for secure communication systems. In particular, this paper has direct impact in enhancing the encryption and decryption algorithms in cryptography.Keywords: Pythagorean triples, platonic triples, right angle triangles, co-prime numbers, cryptography
Procedia PDF Downloads 2397003 Phone Number Spoofing Attack in VoLTE
Authors: Joo-Hyung Oh, Sekwon Kim, Myoungsun Noh, Chaetae Im
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The number of service users of 4G VoLTE (voice over LTE) using LTE data networks is rapidly growing. VoLTE based on All-IP network enables clearer and higher-quality voice calls than 3G. It does, however, pose new challenges; a voice call through IP networks makes it vulnerable to security threats such as wiretapping and forged or falsified information. Moreover, in particular, stealing other users’ phone numbers and forging or falsifying call request messages from outgoing voice calls within VoLTE result in considerable losses that include user billing and voice phishing to acquaintances. This paper focuses on the threats of caller phone number spoofing in the VoLTE and countermeasure technology as safety measures for mobile communication networks.Keywords: LTE, 4G, VoLTE, phone number spoofing
Procedia PDF Downloads 5227002 Working Mode and Key Technology of Thermal Vacuum Test Software for Spacecraft Test
Authors: Zhang Lei, Zhan Haiyang, Gu Miao
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A universal software platform is developed for improving the defects in the practical one. This software platform has distinct advantages in modularization, information management, and the interfaces. Several technologies such as computer technology, virtualization technology, network technology, etc. are combined together in this software platform, and four working modes are introduced in this article including single mode, distributed mode, cloud mode, and the centralized mode. The application area of the software platform is extended through the switch between these working modes. The software platform can arrange the thermal vacuum test process automatically. This function can improve the reliability of thermal vacuum test.Keywords: software platform, thermal vacuum test, control and measurement, work mode
Procedia PDF Downloads 4147001 Evaluation of Hydrogen Particle Volume on Surfaces of Selected Nanocarbons
Authors: M. Ziółkowska, J. T. Duda, J. Milewska-Duda
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This paper describes an approach to the adsorption phenomena modeling aimed at specifying the adsorption mechanisms on localized or nonlocalized adsorbent sites, when applied to the nanocarbons. The concept comes from the fundamental thermodynamic description of adsorption equilibrium and is based on numerical calculations of the hydrogen adsorbed particles volume on the surface of selected nanocarbons: single-walled nanotube and nanocone. This approach enables to obtain information on adsorption mechanism and then as a consequence to take appropriate mathematical adsorption model, thus allowing for a more reliable identification of the material porous structure. Theoretical basis of the approach is discussed and newly derived results of the numerical calculations are presented for the selected nanocarbons.Keywords: adsorption, mathematical modeling, nanocarbons, numerical analysis
Procedia PDF Downloads 2687000 An Innovation Decision Process View in an Adoption of Total Laboratory Automation
Authors: Chia-Jung Chen, Yu-Chi Hsu, June-Dong Lin, Kun-Chen Chan, Chieh-Tien Wang, Li-Ching Wu, Chung-Feng Liu
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With fast advances in healthcare technology, various total laboratory automation (TLA) processes have been proposed. However, adopting TLA needs quite high funding. This study explores an early adoption experience by Taiwan’s large-scale hospital group, the Chimei Hospital Group (CMG), which owns three branch hospitals (Yongkang, Liouying and Chiali, in order by service scale), based on the five stages of Everett Rogers’ Diffusion Decision Process. 1.Knowledge stage: Over the years, two weaknesses exists in laboratory department of CMG: 1) only a few examination categories (e.g., sugar testing and HbA1c) can now be completed and reported within a day during an outpatient clinical visit; 2) the Yongkang Hospital laboratory space is dispersed across three buildings, resulting in duplicated investment in analysis instruments and inconvenient artificial specimen transportation. Thus, the senior management of the department raised a crucial question, was it time to process the redesign of the laboratory department? 2.Persuasion stage: At the end of 2013, Yongkang Hospital’s new building and restructuring project created a great opportunity for the redesign of the laboratory department. However, not all laboratory colleagues had the consensus for change. Thus, the top managers arranged a series of benchmark visits to stimulate colleagues into being aware of and accepting TLA. Later, the director of the department proposed a formal report to the top management of CMG with the results of the benchmark visits, preliminary feasibility analysis, potential benefits and so on. 3.Decision stage: This TLA suggestion was well-supported by the top management of CMG and, finally, they made a decision to carry out the project with an instrument-leasing strategy. After the announcement of a request for proposal and several vendor briefings, CMG confirmed their laboratory automation architecture and finally completed the contracts. At the same time, a cross-department project team was formed and the laboratory department assigned a section leader to the National Taiwan University Hospital for one month of relevant training. 4.Implementation stage: During the implementation, the project team called for regular meetings to review the results of the operations and to offer an immediate response to the adjustment. The main project tasks included: 1) completion of the preparatory work for beginning the automation procedures; 2) ensuring information security and privacy protection; 3) formulating automated examination process protocols; 4) evaluating the performance of new instruments and the instrument connectivity; 5)ensuring good integration with hospital information systems (HIS)/laboratory information systems (LIS); and 6) ensuring continued compliance with ISO 15189 certification. 5.Confirmation stage: In short, the core process changes include: 1) cancellation of signature seals on the specimen tubes; 2) transfer of daily examination reports to a data warehouse; 3) routine pre-admission blood drawing and formal inpatient morning blood drawing can be incorporated into an automatically-prepared tube mechanism. The study summarizes below the continuous improvement orientations: (1) Flexible reference range set-up for new instruments in LIS. (2) Restructure of the specimen category. (3) Continuous review and improvements to the examination process. (4) Whether installing the tube (specimen) delivery tracks need further evaluation.Keywords: innovation decision process, total laboratory automation, health care
Procedia PDF Downloads 4196999 Experimental Evaluation of UDP in Wireless LAN
Authors: Omar Imhemed Alramli
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As Transmission Control Protocol (TCP), User Datagram Protocol (UDP) is transfer protocol in the transportation layer in Open Systems Interconnection model (OSI model) or in TCP/IP model of networks. The UDP aspects evaluation were not recognized by using the pcattcp tool on the windows operating system platform like TCP. The study has been carried out to find a tool which supports UDP aspects evolution. After the information collection about different tools, iperf tool was chosen and implemented on Cygwin tool which is installed on both Windows XP platform and also on Windows XP on virtual box machine on one computer only. Iperf is used to make experimental evaluation of UDP and to see what will happen during the sending the packets between the Host and Guest in wired and wireless networks. Many test scenarios have been done and the major UDP aspects such as jitter, packet losses, and throughput are evaluated.Keywords: TCP, UDP, IPERF, wireless LAN
Procedia PDF Downloads 3546998 Psychological Variables Predicting Academic Achievement in Argentinian Students: Scales Development and Recent Findings
Authors: Fernandez liporace, Mercedes Uriel Fabiana
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Academic achievement in high school and college students is currently a matter of concern. National and international assessments show high schoolers as low achievers, and local statistics indicate alarming dropout percentages in this educational level. Even so, 80% of those students intend attending higher education. On the other hand, applications to Public National Universities are free and non-selective by examination procedures. Though initial registrations are massive (307.894 students), only 50% of freshmen pass their first year classes, and 23% achieves a degree. Low performances use to be a common problem. Hence, freshmen adaptation, their adjustment, dropout and low academic achievement arise as topics of agenda. Besides, the hinge between high school and college must be examined in depth, in order to get an integrated and successful path from one educational stratum to the other. Psychology aims at developing two main research lines to analyse the situation. One regarding psychometric scales, designing and/or adapting tests, examining their technical properties and their theoretical validity (e.g., academic motivation, learning strategies, learning styles, coping, perceived social support, parenting styles and parental consistency, paradoxical personality as correlated to creative skills, psychopathological symptomatology). The second research line emphasizes relationships within the variables measured by the former scales, facing the formulation and testing of predictive models of academic achievement, establishing differences by sex, age, educational level (high school vs college), and career. Pursuing these goals, several studies were carried out in recent years, reporting findings and producing assessment technology useful to detect students academically at risk as well as good achievers. Multiple samples were analysed totalizing more than 3500 participants (2500 from college and 1000 from high school), including descriptive, correlational, group differences and explicative designs. A brief on the most relevant results is presented. Providing information to design specific interventions according to every learner’s features and his/her educational environment comes up as a mid-term accomplishment. Furthermore, that information might be helpful to adapt curricula by career, as well as for implementing special didactic strategies differentiated by sex and personal characteristics.Keywords: academic achievement, higher education, high school, psychological assessment
Procedia PDF Downloads 3696997 Antiglycemic Activity of Raw Plant Materials as Potential Components of Functional Food
Authors: Ewa Flaczyk, Monika Przeor, Joanna Kobus-Cisowska, Józef Korczak
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The aim of this paper was to collect the information concerning the most popular raw plant materials of antidiabetic activity, in a context of functional food developing production. The elaboration discusses morphological elements possible for an application in functional food production of the plants such as: common bean, ginger, Ceylon cinnamon, white mulberry, fenugreek, French lilac, ginseng, jambolão, and bitter melon. An activity of bioactive substances contained in these raw plant materials was presented, pointing their antiglycemic and also hypocholesterolemic, antiarthritic, antirheumatic, antibacterial, and antiviral activity in the studies on humans and animals. Also the genesis of functional food definition was presented.Keywords: antiglycemic activity, raw plant materials, functional food, food, nutritional sciences
Procedia PDF Downloads 4706996 A Clinician’s Perspective on Electroencephalography Annotation and Analysis for Driver Drowsiness Estimation
Authors: Ruxandra Aursulesei, David O’Callaghan, Cian Ryan, Diarmaid O’Cualain, Viktor Varkarakis, Alina Sultana, Joseph Lemley
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Human errors caused by drowsiness are among the leading causes of road accidents. Neurobiological research gives information about the electrical signals emitted by neurons firing within the brain. Electrical signal frequencies can be determined by attaching bio-sensors to the head surface. By observing the electrical impulses and the rhythmic interaction of neurons with each other, we can predict the mental state of a person. In this paper, we aim to better understand intersubject and intrasubject variability in terms of electrophysiological patterns that occur at the onset of drowsiness and their evolution with the decreasing of vigilance. The purpose is to lay the foundations for an algorithm that detects the onset of drowsiness before the physical signs become apparent.Keywords: electroencephalography, drowsiness, ADAS, annotations, clinician
Procedia PDF Downloads 1156995 Cognitive Control Moderates the Concurrent Effect of Autistic and Schizotypal Traits on Divergent Thinking
Authors: Julie Ramain, Christine Mohr, Ahmad Abu-Akel
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Divergent thinking—a cognitive component of creativity—and particularly the ability to generate unique and novel ideas, has been linked to both autistic and schizotypal traits. However, to our knowledge, the concurrent effect of these trait dimensions on divergent thinking has not been investigated. Moreover, it has been suggested that creativity is associated with different types of attention and cognitive control, and consequently how information is processed in a given context. Intriguingly, consistent with the diametric model, autistic and schizotypal traits have been associated with contrasting attentional and cognitive control styles. Positive schizotypal traits have been associated with reactive cognitive control and attentional flexibility, while autistic traits have been associated with proactive cognitive control and the increased focus of attention. The current study investigated the relationship between divergent thinking, autistic and schizotypal traits and cognitive control in a non-clinical sample of 83 individuals (Males = 42%; Mean age = 22.37, SD = 2.93), sufficient to detect a medium effect size. Divergent thinking was evaluated in an adapted version of-of the Figural Torrance Test of Creative Thinking. Crucially, since we were interested in testing divergent thinking productivity across contexts, participants were asked to generate items from basic shapes in four different contexts. The variance of the proportion of unique to total responses across contexts represented a measure of context adaptability, with lower variance indicating increased context adaptability. Cognitive control was estimated with the Behavioral Proactive Index of the AX-CPT task, with higher scores representing the ability to actively maintain goal-relevant information in a sustained/anticipatory manner. Autistic and schizotypal traits were assessed with the Autism Quotient (AQ) and the Community Assessment of Psychic Experiences (CAPE-42). Generalized linear models revealed a 3-way interaction of autistic and positive schizotypal traits, and proactive cognitive control, associated with increased context adaptability. Specifically, the concurrent effect of autistic and positive schizotypal traits on increased context adaptability was moderated by the level of proactive control and was only significant when proactive cognitive control was high. Our study reveals that autistic and positive schizotypal traits interactively facilitate the capacity to generate unique ideas across various contexts. However, this effect depends on cognitive control mechanisms indicative of the ability to proactively maintain attention when needed. The current results point to a unique profile of divergent thinkers who have the ability to respectively tap both systematic and flexible processing modes within and across contexts. This is particularly intriguing as such combination of phenotypes has been proposed to explain the genius of Beethoven, Nash, and Newton.Keywords: autism, schizotypy, creativity, cognitive control
Procedia PDF Downloads 1376994 Using Set Up Candid Clips as Viral Marketing via New Media
Authors: P. Suparada, D. Eakapotch
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This research’s objectives were to analyze the using of new media in the form of set up candid clip that affects the product and presenter, to study the effectiveness of using new media in the form of set up candid clip in order to increase the circulation and audience satisfaction and to use the earned information and knowledge to develop the communication for publicizing and advertising via new media. This research is qualitative research based on questionnaire from 50 random sampling representative samples and in-depth interview from experts in publicizing and advertising fields. The findings indicated the positive and negative effects to the brands’ image and presenters’ image of product named “Scotch 100” and “Snickers” that used set up candid clips via new media for publicizing and advertising in Thailand. It will be useful for fields of publicizing and advertising in the new media forms.Keywords: candid clip, effect, new media, social network
Procedia PDF Downloads 2236993 Preoperative Smoking Cessation Audit: A Single Centre Experience from Metropolitan Melbourne
Authors: Ya-Chu May Tsai, Ibrahim Yacoub, Eoin Casey
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The Australian and New Zealand College of Anaesthetists (ANZCA) advises that smoking should not be permitted within 12 hours of surgery. There is little information in the medical literature regarding patients awareness of perioperative smoking cessation recommendations nor their appreciation of how smoking might negatively impact their perioperative course. The aim of the study is to assess the prevalence of current smokers presenting to Werribee Mercy Hospital (WMH) and to evaluate if pre-operative provision of both written and verbal pre-operative advice was, 1: Effective in improving patient awareness of the benefits of pre-operative smoking cessation, 2: Associated with an increase in the number of elective surgical patients who stop smoking at least 12 hours pre-operatively. Methods: The initial survey included all patients who presented to WMH for elective surgical procedures from 19 – 30 September 2016 using a standardized questionnaire focused on patients’ smoking history and their awareness of smoking cessation preoperatively. The intervention consisted of a standard pre-operative phone call to all patients advising them of the increased perioperative risks associated with smoking, and advised patients to cease 12 hours prior. In addition, written information on smoking cessation strategies were sent out in mail at least 1 week prior to planned procedure date to all patients. Questionnaire-based study after the intervention was conducted on day of elective procedure from 10 – 21 October 2016 inclusive. Primary outcomes measured were patient’s awareness of smoking cessation and proportion of smokers who quit >12 hours, considered a clinically meaning duration to reduce anaesthetics complications. Comparison of pre and post intervention results were made using SPSS 21.0. Results: In the pre-intervention group (n=156), 36 (22.4%) patients were current smokers, 46 were ex-smokers (29.5%) and 74 were non-smokers (48.1%). Of the smokers, 12 (33%) reported having been informed of smoking cessation prior to operation and 8 (22%) were aware of increased intra- and perioperative adverse events associated with smoking. In the post-intervention group n= 177, 38 (21.5%) patients were current smokers, 39 were ex-smokers (22.0%) and 100 were non-smokers (56.5%). Of the smokers, 32 (88.9%) reported having been informed of smoking cessation prior to operation and 35 (97.2%) reported being aware of increased intra- and perioperative adverse events associated with smoking. The median time since last smoke in the pre-intervention group was 5.5 hours (Q1-Q3 = 2-14) compared with 13 hours (Q1-Q3 = 5-24) in post intervention group. Amongst the smokers, smoking cessation at least 12 hours prior to surgery significantly increased from 27.8% pre-intervention to 52.6% post intervention (P=0.03). Conclusion: A standard preoperative phone call and written instruction on smoking cessation guidelines at time of waitlist placement increase preoperative smoking cessation rates by almost 2-fold.Keywords: anaesthesia, audit, perioperative medicine, smoking cessation
Procedia PDF Downloads 3066992 TDApplied: An R Package for Machine Learning and Inference with Persistence Diagrams
Authors: Shael Brown, Reza Farivar
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Persistence diagrams capture valuable topological features of datasets that other methods cannot uncover. Still, their adoption in data pipelines has been limited due to the lack of publicly available tools in R (and python) for analyzing groups of them with machine learning and statistical inference. In an easy-to-use and scalable R package called TDApplied, we implement several applied analysis methods tailored to groups of persistence diagrams. The two main contributions of our package are comprehensiveness (most functions do not have implementations elsewhere) and speed (shown through benchmarking against other R packages). We demonstrate applications of the tools on simulated data to illustrate how easily practical analyses of any dataset can be enhanced with topological information.Keywords: machine learning, persistence diagrams, R, statistical inference
Procedia PDF Downloads 866991 Structural and Binding Studies of Peptidyl-tRNA Hydrolase from Pseudomonas aeruginosa Provide a Platform for the Structure Based Inhibitor Design against Peptidyl-tRNA Hydrolase
Authors: Sujata Sharma, Avinash Singh, Lovely Gautam, Pradeep Sharma, Mau Sinha, Asha Bhushan, Punit Kaur, Tej P. Singh
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Peptidyl-tRNA hydrolase (Pth) Pth is an essential bacterial enzyme that catalyzes the release of free tRNA and peptide moeities from peptidyl tRNAs during stalling of protein synthesis. In order to design inhibitors of Pth from Pseudomonas aeruginosa (PaPth), we have determined the structures of PaPth in its native state and in the bound states with two compounds, amino acylate-tRNA analogue (AAtA) and 5-azacytidine (AZAC). The peptidyl-tRNA hydrolase gene from Pseudomonas aeruginosa was amplified by Phusion High-Fidelity DNA Polymerase using forward and reverse primers, respectively. The E. coliBL21 (λDE3) strain was used for expression of the recombinant peptidyl-tRNA hydrolase from Pseudomonas aeruginosa. The protein was purified using a Ni-NTA superflow column. The crystallization experiments were carried out using hanging drop vapour diffusion method. The crystals diffracted to 1.50 Å resolution. The data were processed using HKL-2000. The polypeptide chain of PaPth consists of 194 amino acid residues from Met1 to Ala194. The centrally located β-structure is surrounded by α-helices from all sides except the side that has entrance to the substrate binding site. The structures of the complexes of PaPth with AAtA and AZAC showed the ligands bound to PaPth in the substrate binding cleft and interacted with protein atoms extensively. The residues that formed intermolecular hydrogen bonds with the atoms of AAtA included Asn12, His22, Asn70, Gly113, Asn116, Ser148, and Glu161 of the symmetry related molecule. The amino acids that were involved in hydrogen bonded interactions in case of AZAC included, His22, Gly113, Asn116, and Ser148. As indicated by fittings of two ligands and the number of interactions made by them with protein atoms, AAtA appears to be a more compatible with the structure of the substrate binding cleft. However, there is a further scope to achieve a better stacking than that of O-tyrosyl moiety because it is not still ideally stacked. These observations about the interactions between the protein and ligands have provided the information about the mode of binding of ligands, nature and number of interactions. This information may be useful for the design of tight inhibitors of Pth enzymes.Keywords: peptidyl tRNA hydrolase, Acinetobacter baumannii, Pth enzymes, O-tyrosyl
Procedia PDF Downloads 4316990 Activity Data Analysis for Status Classification Using Fitness Trackers
Authors: Rock-Hyun Choi, Won-Seok Kang, Chang-Sik Son
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Physical activity is important for healthy living. Recently wearable devices which motivate physical activity are quickly developing, and become cheaper and more comfortable. In particular, fitness trackers provide a variety of information and need to provide well-analyzed, and user-friendly results. In this study, frequency analysis was performed to classify various data sets of Fitbit into simple activity status. The data from Fitbit cloud server consists of 263 subjects who were healthy factory and office workers in Korea from March 7th to April 30th, 2016. In the results, we found assumptions of activity state classification seem to be sufficient and reasonable.Keywords: activity status, fitness tracker, heart rate, steps
Procedia PDF Downloads 3846989 Characterization of Onboard Reliable Error Correction Code FORSDRAM Controller
Authors: N. Pitcheswara Rao
Abstract:
In the process of conveying the information there may be a chance of signal being corrupted which leads to the erroneous bits in the message. The message may consist of single, double and multiple bit errors. In high-reliability applications, memory can sustain multiple soft errors due to single or multiple event upsets caused by environmental factors. The traditional hamming code with SEC-DED capability cannot be address these types of errors. It is possible to use powerful non-binary BCH code such as Reed-Solomon code to address multiple errors. However, it could take at least a couple dozen cycles of latency to complete first correction and run at a relatively slow speed. In order to overcome this drawback i.e., to increase speed and latency we are using reed-Muller code.Keywords: SEC-DED, BCH code, Reed-Solomon code, Reed-Muller code
Procedia PDF Downloads 4286988 Integration Multi-Layer Security Modeling with Fuzzy Logic in Service-Oriented Architectures
Authors: Zeinab Ranjbar
Abstract:
Service-oriented architecture in the world today, it is proposed to exchange information and services of interest to those such as IT managers, business managers, designers and system builders scene. The basic architecture of the software used to provide service to all users.the worries of all people (managers, business managers, designers, and system builders scene) effectiveness of this model, how reliable it is in security transactions.To increase the reliability of multi-layer fuzzy logic Architectures used.Keywords: SOA, service oriented architecture, fuzzy logic, multi layer, SOA security
Procedia PDF Downloads 386