Miracle-dz/UniFAR-FTUs huggingface dataset:
Work, Rest, Repeat: An Examination of the Relationship Between Psychological Detachment and Positive Work Experiences Across the Workweek

WORK, REST, REPEAT: AN EXAMINATION OF THE RELATIONSHIP BETWEEN PSYCHOLOGICAL DETACHMENT AND POSITIVE WORK EXPERIENCES ACROSS THE DAYS OF THE WORKWEEK Denisa Luta Advisors: University of Guelph, 2016 Professor Jeffrey R. Spence Professor David J. Stanley Professor Deborah Powell Building on the cyclical nature of the workweek and on theoretical advances on entrainment, I explored the interplay between positive affect, work engagement and psychological detachment over the course of the workweek. More specifically, my study addressed two questions: are daily fluctuations in positive affect and work engagement entrained (or aligned) to the workweek in terms of rhythm or cycle, and to what extent does psychological detachment facilitate the entrainment of positive affect and work engagement to the workweek? I tested these ideas with 145 employees who provided daily ratings of positive affect, work engagement, and psychological detachment over the course of 10 consecutive workdays. Growth modelling indicated that positive affect followed a curvilinear pattern, reaching its lowest point midweek. Furthermore, multilevel modelling indicated that daily psychological detachment was positively related to daily positive affect. Practical and theoretical implications of these findings are discussed in the conclusion.
Vision navigation for driver cognitive model in ACT-R architecture

Cognitive Science is widely studied as a high degree of cross-disciplinary. Various models are presented by several popular architectures. ACT-R (Adaptive Control of Thought-Rational) architecture is one of most popular cognitive architectures. A new combination of cognitive science and artificial intelligence is studied in this paper. Signal serials in visual modules are usually artificial defined in many cognitive models, including driver cognitive models. Vision based automatic navigation is explored for visual module of driver cognitive model. Signal serials in visual modules are provided by automatic vision based navigation systems from real driving video, and used for driver model in ACT-R architecture. Results are compared. Experimental result shows that the applying of vision navigation on cognitive model in ACT-R architecture is reliable.
Image segmentation algorithms on female pelvic ultrasound images

The processing and analysis of structures presented in images has been one of the areas of Computational Vision with greater potential and applicability. The main goal of the researchers of this area has been the development of new computational methodologies to study the behaviour of structures in images. The mentioned image-based analysis is very important in many domains. For example, in Medicine, the information obtained by the proposed automatic analysis is crucial to understand the functioning and the behaviour of organs, and thus to assist medical doctors. A faithful simulation of organs is extremely important to improve the accuracy of medical virtual systems, as of the human body and of computational surgical simulators and robotic surgery. In this work, several algorithms of image segmentation are evaluated on ultrasound images acquired from female pelvic cavity. 2 SEGMENTATION ALGORITHMS 2.1 Threshold Algorithms Global thresholding is simple and computationally fast. It is based on the assumption that the image has a bimodal histogram and, consequently, the structure of interest can be extracted from the background by a simple operation that compares image values with a threshold value . Let suppose that there is an image ( ) with a histogram containing two groups with different intensities, separated by The threshold image ( ) is defined as:
Photodynamic Inactivation of Root Canal Bacteria by Light Activation through Human Dental Hard and Simulated Surrounding Tissue

Introduction: Photodynamic inactivation of bacteria (PIB) may be a supportive antimicrobial approach for use in endodontics, but sufficient activation of photosensitizers (PS) in root canals is a critical point. Therefore, aim of this study was to evaluate the ability of PS absorbing blue (TMPyP) or red light (Methylene Blue; MB) for light activation through human dental hard and simulated surrounding tissue to inactivate root canal bacteria. Methods: A tooth model was fabricated with a human premolar and two molars in an acrylic resin bloc simulating the optical properties of a porcine jaw. The distal root canal of the first molar was enlarged to insert a glass tube (external diameter 2 mm) containing PS and stationary-phase Enterococcus faecalis. Both PS (10 μM) were irradiated for 120 s with BlueV (20 mW/cm2; λem = 400–460 nm) or PDT 1200L (37.8 mW/cm2; λem = 570–680 nm; both: Waldmann Medizintechnik), respectively. Irradiation parameters ensured identical numbers of photons absorbed by each PS. Three setups were chosen: irradiating the glass pipette only (G), the glass pipette inside the single tooth without (GT) and with (GTM) simulated surrounding tissues. Colony forming units (CFU) were evaluated. Transmission measurements of the buccal halves of hemisected mandibular first molars were performed by means of a photospectrometer. Results: PIB with both PS led to reduction by ≥ 5 log10 of E. faecalis CFU for each setup. From transmission measurements, a threshold wavelength λth for allowing an amount of light transmission for sufficient activation of PS was determined to be 430 nm. Conclusion: This study can be seen as proof of principle that light activation of given intra-canal PS from outside a tooth may be possible at wavelengths ≥ 430 nm, facilitating clinical application of PIB in endodontics.
Compact clustering based geometric tour planning for mobile data gathering mechanism in wireless sensor network

In this paper we propose a new clustering based data gathering mechanism for large scale wireless sensor networks. Our proposed mechanism first stores the locations of the sensors by GPS information and then sends a mobile data-collector (which can be an autonomous robot or a vehicle equipped with a transceiver and battery) which can move into the whole sensing field like a movable base station and collect data from the static sensors. Here at first our algorithm divides the region into a number of compact regions according to the range of the mobile collector and then determines a geometrical routing path along which the mobile collector can move and collect data from the sensors all in single hop data transmission technique and in minimal time. In wireless sensor networks, the data packets are directly gathered without relays and collisions. As a result, the lifetime of the sensors are prolonged. In our algorithm we have focused mainly on the facts like maximizing the network coverage, minimizing the overlapping of the regions, maximizing the number of nodes getting attended in one poll by the mobile collector and minimizing the path length so that the collector can cover the whole region in minimum time. The simulation results show a significant improved performance of proposed model.
The Underlying Search for Magic Templates and Tabulation

The main aim of this paper is to present a framework for tabulated SLDresolution that allows a strict separation between search space and search. We introduce the notion of a search forest to model the search space, and we define what we understand by a search strategy for it. We present some basic search strategies and discuss how a particular tabulation technique, OLDT-resolution, and a particular transformation technique, Magic Templates, relate to our approach. This comparison also reveals an inherent difference between the tabulation and the transformation approach.
Identifying predictors of time-inhomogeneous viral evolutionary processes

Abstract Various factors determine the rate at which mutations are generated and fixed in viral genomes. Viral evolutionary rates may vary over the course of a single persistent infection and can reflect changes in replication rates and selective dynamics. Dedicated statistical inference approaches are required to understand how the complex interplay of these processes shapes the genetic diversity and divergence in viral populations. Although evolutionary models accommodating a high degree of complexity can now be formalized, adequately informing these models by potentially sparse data, and assessing the association of the resulting estimates with external predictors, remains a major challenge. In this article, we present a novel Bayesian evolutionary inference method, which integrates multiple potential predictors and tests their association with variation in the absolute rates of synonymous and non-synonymous substitutions along the evolutionary history. We consider clinical and virological measures as predictors, but also changes in population size trajectories that are simultaneously inferred using coalescent modelling. We demonstrate the potential of our method in an application to within-host HIV-1 sequence data sampled throughout the infection of multiple patients. While analyses of individual patient populations lack statistical power, we detect significant evidence for an abrupt drop in non-synonymous rates in late stage infection and a more gradual increase in synonymous rates over the course of infection in a joint analysis across all patients. The former is predicted by the immune relaxation hypothesis while the latter may be in line with increasing replicative fitness during the asymptomatic stage.
Codes of Ethics as Living Documents: The Case of the American Society for Public Administration

Abstract This article provides a framework for creating or revising a code of ethics. It discusses the classical notions of codes of ethics, conduct, and regulations, primarily based on level of abstraction. It also examines the two major issues in constructing codes as well as a series of technical challenges. This is a case study of the formal review process of ASPA’s 1994 code of ethics in 2001–2003. The history of this process is discussed, using an analytical framework. The conclusion emphasizes the virtues of having such a debate and the types of parameters necessary to maximize the value of dialogue.
How to avoid unwanted email

U nwanted communication ranges from nuisance (junk mail) to annoyance (telemarketing) to dangerous to the very medium conveying the message (junk fax, obscene or harassing telephone calls). The usefulness of email is seriously threatened by the commercialization of the Internet because it is easier than ever to collect address lists and cheaper than ever to mass-distribute messages. If companies spent as much money sending junk email as they do sending junk physical mail, an established Internet user would likely get more than 100 junk messages per day. Every time a user sends a message to a public newsgroup or list, fills out a Web form, or mails in a product registration card, the server cheaply obtains an email address and usually some indication of the user's interests. This information is then sold to marketing firms that easily automate mass emailings of advertisements , surveys, and other annoyances that cost the user connect time and, worse, valuable attention. More sinister unwanted email is becoming common as well, including harassing and hate mail. The main technique today for avoiding unwanted communication is to restrict the set of people to whom users give their addresses. For example, people pay to avoid having their phone numbers listed; in email, people sometimes maintain multiple email accounts, using different accounts for different purposes , such as commercial vs. personal. This unlisted address approach is expensive and slow to recover from security breaches; if an address is leaked to an adversary, the only alternative is to pay the service provider to change it (often a lengthy process). Once Despite looking like conventional email, a channelized email address and its related agent allow email users to reliably cut off unwanted correspondents.
FLOW IN FIREFIGHTERS AND ITS RELATIONSHIP WITH PERFORMANCE IN HIGH-RISK TASKS: PRELIMINAR RESEARCH

Flow is an operational mental state in which people is fully immersed in a performed activity. The aim of this study was to measure in professional firefighters flow and its relationship with performance in tasks with a high risk component. The state of flow was assessed by the Flow State Scale (FSS) in six professional firefighters during a simulation of a traffic accident (STA), together with their expected and perceived performance. Results indicated that firefighters reached high levels of flow during their work performance in risky tasks potentially generating high levels of stress. Adequate performance values and a positive correlation between flow and expected or perceived performance were obtained. Quantitative results were complemented by qualitative interviews after STA. Data obtained emphasize the relevance of flow study in those professions involving conditions of high risk.
Algorithm comparison and benchmarking using a parallel spectra transform shallow water model

In recent years, a number of computer vendors have produced supercomputers based on a massively parallel processing (MPP) architecture. These computers have been shown to be competitive in performance with conventional vector supercomputers for some applications. As spectral weather and climate models are heavy users of vector supercomputers, it is interesting to determine how these models perform on MPPS, and which MPPs are best suited to the execution of spectral models. The benchmarking of MPPs is complicated by the fact that different algorithms may be more efficient on different architectures. Hence, a comprehensive benchmarking effort must answer two related questions: which algorithm is most efficient on each computer and how do the most efficient algorithms compare on different computers. In general, these are difficult questions to answer because of the high cost associated with implementing and evaluating a range of different parallel algorithms on each MPP platform.
Exploiting GPU On-chip Shared Memory for Accelerating Schedulability Analysis

Embedded electronic devices like mobile phones and automotive control units must perform under strict timing constraints. As such, schedulability analysis constitutes an important phase of the design cycle of these devices. Unfortunately, schedulability analysis for most realistic task models turn out to be computationally intractable (NP-hard). Naturally, in the recent past, different techniques have been proposed to accelerate schedulability analysis algorithms, including parallel computing on Graphics Processing Units (GPUs). However, applying traditional GPU programming methods in this context restricts the effective usage of on-chip memory and in turn imposes limitations on fully exploiting the inherent parallel processing capabilities of GPUs. In this paper, we explore the possibility of accelerating schedulability analysis algorithms on GPUs while exploiting the usage of on-chip memory. Experimental results demonstrate upto 9× speedup of our GPU-based algorithms over the implementations on sequential CPUs.
Scholarship at UWindsor Scholarship at UWindsor

: We present a series of realistic examples of deliberation and discuss how they can form the basis for building a typology of deliberation dialogues. The observations from our examples are used to suggest that argumentation researchers and philosophers have been thinking about deliberation in overly simplistic ways. We argue that to include all the kinds of argumentation that make up realistic deliberations, it is necessary to distinguish between different kinds of deliberations. We propose a model including a problem-solving type of deliberation based on practical reasoning, characterised by revisions of the initial issue made necessary by the agents’ increased knowledge of new circumstances.
Largeness and Sq-Universality of cyclically Presented Groups

Largeness, SQ-universality, and the existence of free subgroups of rank 2 are measures of the complexity of a finitely presented group. We obtain conditions under which a cyclically presented group possesses one or more of these properties. We apply our results to a class of groups introduced by Prishchepov which contains, amongst others, the various generalizations of Fibonacci groups introduced by Campbell and Robertson.
Embedded DRAM for a reconfigurable array

A field-programmable gate array, coupled with an on-chip 2 Mb DRAM bank has been designed, to aid in the study of the tradeoffs involved in the design of embedded DRAM for FPGAs. The memory can be used both as configuration storage, enabling reconfiguration in under 5 /spl mu/s, and application data memory, providing application logic executing on the array with up to 2 GB/sec data bandwidth. The variable latency of the DRAM is hidden from the logic by a stall mechanism and an SRAM-like interface.
Built-In Self-Test Configurations for Atmel FPGAs Using Macro Generation Language

The development and automatic generation of Built-In Self-Test (BIST) configurations for Atmel AT40K series Field Programmable Gate Arrays (FPGAs) are described. These BIST configurations completely test the programmable logic and routing resources in the core of the FPGA along with the dedi- cated Random Access Memories (RAMs) dispersed within the array. The BIST configurations are generated using Atmel's Macro Generation Language (MGL) for any size FPGA. The advantages and limitations of this approach are discussed. 1
Strategic Aspects of an Eco-Logistic Chain Optimization

The result of ecological aspects being taken into consideration in human activities and aiming at an optimization of the chains of deliveries is an intention to close the loop of deliveries. One of the ways to achieve this aim is an application of the concept of ecologistics. While waste constitutes one of the main elements of ecologistics, it poses the most serious threat to the natural environment. The state’s ecologic policy for the years of 2002–2010 was a document to support the activities of communes aimed at environmental protection. Long-term objectives are to be realized within the framework of the Strategy of the Sustainable Development of Poland by the Year 2025. In this article, an attempt was undertaken of a critical interpretation of American and European views in this area. The possibilities of the optimization and polyoptimization of the behaviors of individual and group inhabitants in the context of logistics chains modelling were highlighted. Standardized indexes will permit an effective assessment of the behaviors of a human or a given society referred to the economic (business) values in an area determined by the necessity of the functioning of ecologistic chains (this activity is proper to the objectives of designing and an objective assessment of the functioning of ecologistic chains).
Religiosity, Religious Fundamentalism, and Perceived Threat as Predictors of Muslim Support for Extremist Violence

Religion is often seen as one of the main causes of extremist violence, such as suicide attacks. Because empirical studies analyzing this purported relationship are scarce, we investigated how religious practices and attitudes, perceived threat, and demographic variables contribute to support for extremist violence. We analyzed multinational face-to-face interview data for native Muslims with a final sample size of N = 6,576. Using multilevel ordinal regression, we found that increased support for extremist violence was strongly predicted by social religious activities and perceived threat. Conversely, aspects of individual religiosity and even religious fundamentalism were associated with a decrease in support for extremist violence. Demographic variables showed small or no significant effects. Important practical and theoretical implications of the findings are discussed.
Relación entre la violencia en el noviazgo y observación de modelos parentales de maltrato

El objetivo fue describir la posible relacion entre las caracteristicas de la violencia en el noviazgo (recibida y ejercida), en adolescentes y jovenes, con respecto a la observacion de maltrato entre sus padres. El diseno fue descriptivo-correlacional, la muestra fue no probabilistica (589 estudiantes, entre los 12-22 anos). Los instrumentos fueron: listas de chequeo de experiencias de maltrato en la pareja (violencia recibida -forma A- y violencia ejercida -forma B-) y cuestionario de auto informe sobre violencia conyugal. Las variables evaluadas fueron presentacion de violencia (fisica, emocional, psicologica, sexual) y observacion de violencia entre los padres. Los resultados mostraron que el 70.9 % de los participantes reportaron haber sido victimas de al menos una forma de violencia por parte de su pareja y el 48.6% reporto haber utilizado la violencia en contra de su pareja, los tipos mas identificados fueron emocional y psicologica (61% y 51.4%). Se evidencio mas reporte de violencia ejercida en mujeres (51.5 %) y mas violencia recibida en hombres (50.7%). Se encontro una relacion significativa entre haber observado violencia entre los padres y uso de conductas violentas con la pareja. Lo anterior es relevante para comprender el fenomeno de la violencia en el noviazgo en Colombia y plantear nuevas preguntas en relacion con caracteristicas de genero, demograficas y culturales.
Portability, Salary and Asset Price Risk: A Continuous-Time Expected Utility Comparison of DB and DC Pension Plans

This paper compares two different types of private retirement plans from the perspective of a representative beneficiary: a defined benefit (DB) and a defined contribution (DC) plan. While salary risk is the main common risk factor in DB and DC pension plans, one of the key differences is that DB plans carry portability risks, whereas DC plans bear asset price risk. We model these tradeoffs explicitly in this paper and compare these two plans in a utility-based framework. Our numerical analysis focuses on answering the question of when the beneficiary is indifferent between the DB and DC plan. Most of our results confirm the findings in the existing literature, among which, e.g., portability losses considerably reduce the relative attractiveness of the DB plan. However, we also find that the attractiveness of the DB plan can decrease in the level of risk aversion, which is inconsistent with the existing literature.
Topology control with Hexagonal Tessellation

Geographic Adaptive Fidelity (GAF) is an important topology control approach in Wireless Sensor Networks. It extends the system lifetime by exploiting node redundancy. However, the properties of the square grid in GAF have not been fully studied. This paper shows that there exists an unreachable corner in the GAF grid architecture. Using an analytical model, we are able to calculate the unreachable probability and analyse its impacts on data delivery. We propose to replace the square grid of GAF with Hexagonal Tessellation (GAF-h). We then proceed to prove that GAF-h is able to achieve zero loss with little extra cost when compared to the original scheme. A node association algorithm is also proposed for efficient implementation. This algorithm is proved to integrate with the original GAF protocol with little computing overhead.