Miracle-dz/UniFAR-FTUs huggingface dataset:
The advantages and challenges of neurodiversity employment in organizations

Anna Krzeminska1,2*, Robert D. Austin3, Susanne M. Bruyère4 and Darren Hedley5 Department of Management, Macquarie Business School, Sydney, Australia, Institute for Teaching and Learning Innovation, University of Queensland, Brisbane, Australia, Ivey Business School, Western University, London, ON, Canada, Lisa Yang and Hock E. Tan Institute on Employment and Disability, School of Industrial and Labor Relations, Cornell University, Ithaca, US and LaTrobe University, Melbourne, Australia *Corresponding author. Email: anna.krzeminska@mq.edu. au
A BAYESIAN SYSTEM FOR INTEGRATION OF ALGORITHMS FOR REAL-TIME BAYESIAN NETWORK INFERENCE

Bayesian networks (BNs) are a key method for representation and reasoning under uncertainty in artificial intelligence. Both exact and approximate BN inference have been proven to be NP-hard. The problems of inference become even less tractable under real-time constraints. One solution to real-time AI problems is to develop anytime algorithms. Anytime algorithms are iterative refinement algorithms that trade performance for time. They improve the quality of the output as the amount of time increases. Another solution to real-time AI consists of metareasoning and integrating multiple approximation methods. To date, researchers have developed various exact and approximate BN inference algorithms. Each of these has different properties and works better for different classes of inference problems. Given a BN inference problem instance, it is usually hard but important to decide in advance which algorithm among a set of choices is the most appropriate. This problem is known as the algorithm selection problem. This dissertation proposal addresses the problem of real-time BN inference. It proposes work on both development of new anytime approximation algorithms and integration of multiple inference algorithms. Specifically, I first propose to study the multifractal properties of the underlying joint probability distributions (JPDs) of BNs and the skewness of the conditional probability tables (CPT) in real-world Bayesian networks. Based on these multifractal properties, I shall develop search-based anytime approximate inference algorithms for different characteristic classes of Bayesian networks. I then propose a Bayesian scheme for integration of various BN inference algorithms, including newly-designed search-based approximation algorithms. This scheme aims to integrate various BN inference algorithms into a unified framework so that the most appropriate inference algorithm would be selected for any given real-world inference problem specification. Novel features of the proposed research plan include: • The study of multifractal properties of the joint probability distributions represented by BNs • The design and implementation of search-based anytime approximate inference algorithms based on multifractal and skewness properties of characteristic BNs • The implementation of a random " real-world " Bayesian network generator to generate representative synthetic data for training and testing • An algorithm selection framework, itself a Bayesian learning and inference system that embodies expert knowledge about the domain of Bayesian network inference to select the best suitable algorithm for a given inference problem instance.
The Agaricus bisporus cox1 Gene: The Longest Mitochondrial Gene and the Largest Reservoir of Mitochondrial Group I Introns

In eukaryotes, introns are located in nuclear and organelle genes from several kingdoms. Large introns (up to 5 kbp) are frequent in mitochondrial genomes of plant and fungi but scarce in Metazoa, even if these organisms are grouped with fungi among the Opisthokonts. Mitochondrial introns are classified in two groups (I and II) according to their RNA secondary structure involved in the intron self-splicing mechanism. Most of these mitochondrial group I introns carry a “Homing Endonuclease Gene” (heg) encoding a DNA endonuclease acting in transfer and site-specific integration (“homing”) and allowing intron spreading and gain after lateral transfer even between species from different kingdoms. Opposed to this gain mechanism, is another which implies that introns, which would have been abundant in the ancestral genes, would mainly evolve by loss. The importance of both mechanisms (loss and gain) is matter of debate. Here we report the sequence of the cox1 gene of the button mushroom Agaricus bisporus, the most widely cultivated mushroom in the world. This gene is both the longest mitochondrial gene (29,902 nt) and the largest group I intron reservoir reported to date with 18 group I and 1 group II. An exhaustive analysis of the group I introns available in cox1 genes shows that they are mobile genetic elements whose numerous events of loss and gain by lateral transfer combine to explain their wide and patchy distribution extending over several kingdoms. An overview of intron distribution, together with the high frequency of eroded heg, suggests that they are evolving towards loss. In this landscape of eroded and lost intron sequences, the A. bisporus cox1 gene exhibits a peculiar dynamics of intron keeping and catching, leading to the largest collection of mitochondrial group I introns reported to date in a Eukaryote.
A Repository of Free Lexical Resources for African Languages: The Project and the Method

We report on a project which we believe to have the potential to become home to, among others, bilingual dictionaries for African languages. Kept in a well-structured XML format with several possible degrees of conformance, the dictionaries will be able to get usable even in their early versions, which will be then subject to supervised improvement as user feedback accumulates. The project is FreeDict, part of SourceForge, a well-known Internet repository of open source content. We demonstrate a possible process of dictionary development on the example of one of FreeDict dictionaries, a Swahili-English dictionary that we maintain and have been developing through subsequent stages of increasing complexity and machine-processability. The aim of the paper is to show that even a small bilingual lexical resource can be submitted to this project and gradually developed into a machine-processable form that can then interact with other FreeDict resources. We also present the immediate benefits of locating bilingual African dictionaries in this project. We have found FreeDict to be a very promising project with a lot of potential, and the present paper is meant to spread the news about it, in the hope to create an active community of linguists and lexicographers of various backgrounds, where common research subprojects can be fruitfully carried out.
Relationship among Job Satisfaction, Task Complexity, and Organizational Context in Public Accounting

Prior research provides evidence on the link between job satisfaction and employee affective outcomes, including turnover and job performance. Given the importance of these variables to the management of accounting firms, this study provides insight on the variables that impact job satisfaction. While a number of researchers have examined the association between task and job satisfaction, very few if any have examined the link between organizational context and job satisfaction. This study examines the association between task complexity, organizational context variables of centralization, organizational complexity, formalization, and environmental uncertainty with job satisfaction. Based on regression results, task complexity, perceived environmental uncertainty, and organizational complexity have a strong influence on employee job satisfaction in accounting firms.
Adaptive Access Class Barring for Machine-Type Communications in LTE-A

In LTE-A networks, massive MTC (Machine-Type Communication) devices may request RACH (Random Access Channel) access simultaneously. The concurrent requests bring about the congestion of the channel. To solve the problem, 3GPP has adopted overload resolution mechanisms like ACB (Access Class Barring) and EAB (Extended Access Barring). In the mechanisms, barring parameters need to be set dynamically to reshape the access intensity of MTC devices. This paper proposes how to determine a barring parameter in ACB mechanism adaptively as an overload resolution mechanism. The experimental results show that our mechanism improves system performances including access success probability, collision probability, and access delay.
WATER VAPOR AND THE DYNAMICS OF CLIMATE CHANGES

Water vapor is not only Earth's dominant greenhouse gas. Through the release of latent heat when it condenses, it also plays an active role in dynamic processes that shape the global circulation of the atmosphere and thus climate. Here we present an overview of how latent heat release affects atmosphere dynamics in a broad range of climates, ranging from extremely cold to extremely warm. Contrary to widely held beliefs, atmospheric circulation statistics can change nonmonotonically with global‐mean surface temperature, in part because of dynamic effects of water vapor. For example, the strengths of the tropical Hadley circulation and of zonally asymmetric tropical circulations, as well as the kinetic energy of extratropical baroclinic eddies, can be lower than they presently are both in much warmer climates and in much colder climates. We discuss how latent heat release is implicated in such circulation changes, particularly through its effect on the atmospheric static stability, and we illustrate the circulation changes through simulations with an idealized general circulation model. This allows us to explore a continuum of climates, to constrain macroscopic laws governing this climatic continuum, and to place past and possible future climate changes in a broader context.
Fostering unlearning to facilitate change and innovation

Unlearning involves individuals and organizations acknowledging and releasing prior learning in order to accommodate new information and behaviors. The study presented in this paper aims to identify factors that may assist or hinder unlearning during change and innovation, and how these factors may be impacted by an individual’s level of resistance to change. Analysis of a survey conducted revealed seven factors related to unlearning; five at the level of the individual and two at the level of the organization. These findings reinforce the emerging contention that individual issues are a critical factor for successful change and innovation.
Drug, Healthcare and Patient Safety Dovepress the Effectiveness and Limitations of Regulatory Warnings for the Safe Prescribing of Citalopram

Background: Citalopram is the most commonly prescribed antidepressant in Canada. Concerns have been raised about its cardiac safety, and a dose-dependent prolongation of the QT interval has been documented. Drug interactions involving concomitant use of other medications that prolong the QT interval or increase citalopram levels by interfering with its metabolism increase the cardiac risk. Regulatory bodies (Health Canada and the US Food and Drug Administration) issued warnings and required labeling changes in 2011/2012, suggesting maximum citalopram doses (,40 mg for those ,65 years; ,20 mg for those $65 years) and avoiding drug interactions that increase cardiac risk. The purpose of this study is to assess the impact of these warnings on citalopram prescribing practices. Methods: A quasi-experimental interrupted time series analysis was conducted using all citalopram prescribing data from the population of Manitoba, Canada from 1999 to 2014. This allowed for the examination of high-dose prescribing (above regulatory warning levels) and the number of interacting medications per citalopram prescription. Results: There was a dramatic decline in the prescribing of high doses in both age groups, with a 64.8% decline in those ,65 years and 33.6% in those $65 years. Segmented regression models indicated significant breakpoints in the third quarter of 2011 for both age groups (P,0.0001), corresponding to the time the regulatory warnings were issued. There appeared to be no impact of the warnings on the prescribing of interacting medications. The number of interacting medications actually increased in the postwarning period (,65, 0.78–0.81 interactions per citalopram prescription; $65, 0.93–0.94, P,0.001). Conclusion: Regulatory changes appear to have produced an important reduction in the high-dose prescribing of citalopram. In contrast to this relatively simple dosage change, there was no indication that the more complex issue of resolving drug–drug interactions was impacted by regulatory warnings.
Implementing a RtI tier 2 mathematics lab in a middle school

Abstract Response to intervention (RtI) in secondary schools is a viable option for mathematics, but limited research exists. In the study, students who received just Tier 1 (i.e., general education mathematics class) and students who received both Tier 1 and Tier 2 (i.e., a math lab) completed a pretest and posttest of grade-level content. The results suggest no statistically significant difference between the overall mean assessment gain scores of the two groups. The Tier 2 math lab intervention as implemented did not further exacerbate mathematical differences between struggling students and their peers but it did not work to decrease the mathematics deficits of students needing intervention either. The efficacy of a Tier 2 math lab as a RtI system at the secondary level can be questioned.
Impact of Intelligent Speed Adaptation Systems on Fuel Consumption and Driver Behaviour

This paper begins with a brief description of the Limiteur s’Adaptant a la VItesse Autorisee (LAVIA) program, which was undertaken to assess the effects of different kinds of intelligent speed adaptation (ISA) systems in terms of acceptance by the drivers and effectiveness of speed reduction in their daily trips. LAVIA was tested, in the Yvelines (France), on three variants : advisory, voluntary limited and mandatory limited. The study included 100 drivers using 20 equipped vehicles; the safety results were published in several papers. In this paper, the authors take the statistical analysis a step further, focusing on the respective impact of the three variants of the system on fuel consumption. The authors describe their surprising findings, which show that the voluntary limited mode of the ISA system leads to a significant increase in average fuel consumption, with less significance for the trips in inter-urban and motorway areas. They conclude with a discussion of the possible reasons for this unexpected finding.
Fournier's Gangrene: Current Practices

Fournier's gangrene is an acute, rapidly progressive, and potentially fatal, infective necrotizing fasciitis affecting the external genitalia, perineal or perianal regions, which commonly affects men, but can also occur in women and children. There has been an increase in number of cases in recent times. Despite advanced management mortality is still high and averages 20–30%. Early diagnosis using Laboratory Risk Indicator for Necrotizing Fasciitis score and stratification of patients into high risk category using Fournier's Gangrene Severity Index score help in early initiation of treatment. Triple antibiotic combined with radical debridement is the mainstay of treatment. There have been many advances in management of Fournier gangrene including use of vaccum assisted closure and hyperbaric oxygen therapy. With introduction of newer devices like Flexi-Seal, fecal diversion can be done, avoiding colostomy. Reconstruction of perineal defects using skin grafts, flaps, and urethral reconstruction using gracilis flaps can reduce the morbidity associated with FG and provide acceptable functional and aesthetic outcomes.
Excerpted From: Illustrating Transparency: Communicating the 3d Shape of Layered Transparent Chapter Four: Feature Line Textures

Preceding chapters described the motivation for adding a sparse, opaque texture to an overlaid transparent surface, to help better communicate its shape and relative depth distance from underlying opaque structures while preserving its overall transparent character. The goal of this chapter is to describe the perceptual motivation for selectively opacifying valley and ridge regions and to present an implementation that I developed, independently and concurrently with similar efforts elsewhere, to do this. Inspired by the ability of gifted artists to define a figure with just a few strokes, I would like to define a technique for illustrating layered transparent surfaces, in three dimensions, so that they can be both clearly seen and easily seen through at the same time. My aim is to efficiently and effectively communicate the essential features of the superimposed surface in an intuitively meaningful way, using a clear and simple representation that is appropriate for dynamic viewing conditions, minimizes extraneous detail and allows a largely unobstructed and undistorted view of underlying objects. Research in pictorial representation and image understanding indicates that line drawings, and outline in particular, are a natural and universally understood means for communicating information about objects. A wide range of experiments (cited in [Kennedy 1974]) with animals, children and individuals from a variety of culturally-diverse populations provide evidence that the ability to recognize objects from line drawings is inborn (as opposed to a learned technique). The ease with which we interpret line drawings may suggest an intrinsic relationship between this type of representation and the way our visual system processes and stores visual information. David Marr's " primal sketch " theory of visual information processing [Marr 1976], for example, is founded on the observation that many of the essential elements of image understanding can be derived from the type of information that is encoded in a line drawing representation of a scene; he postulates that the extraction of this " primal sketch " is a first step in visual information processing, at least for two-dimensional intensity images. Experiments by Biederman and Ju [1988] showed that familiar objects could be identified slightly more quickly and accurately in simple line drawings than in color slides when the images were presented, with masking, for extremely brief (50ms) exposure durations. (The accuracy and speed of object identification was equivalent for the two presentation methods when exposure durations were longer, and the objects could be correctly identified in …
Utjecaj spola, tjelesne mase pri klanju i proizvodne sezone na &zikalno-kemijska svojstva mesa janjadi ličke pramenke

1 dr. sc. Ana Kaić, znanstvena novakinja – viša asistentica; prof.dr.sc. Boro Mioč, redoviti profesor; Ante Kasap, dipl.ing. agr. , znanstveni novak – asistent; Zavod za specijalno stočarstvo, Sveučilište u Zagrebu Agronomski fakultet, Svetošimunska cesta 25, 10 000 Zagreb, Hrvatska 2 Leopold Živković, student, Preddiplomski studij Animalne znanosti, Sveučilište u Zagrebu Agronomski fakultet, Svetošimunska cesta 25, 10 000 Zagreb, Hrvatska Utjecaj spola, tjelesne mase pri klanju i proizvodne sezone na 'zikalno-kemijska svojstva mesa janjadi ličke pramenke
A Knowledge Acquisition System for a university educational process

The cost of information management and manpower involvement in administrative operations is increasing rapidly with the rise in amount of transactions. In order to counteract the above issue, all the tasks involved in administrative operations should be automated. Integrating a knowledge based support to this automation would be a novel approach. For storing and deploying the task automation knowledge, the present research describes a Knowledge-Acquisition System (KAS) to store the process oriented knowledge to be used by a typical knowledge based system called as knowledge based educational administrative system (KBEADS). This knowledge based system provides the necessary support to the administrative staff of a large engineering institution to carry out their knowledge intensive academic operations such as optimization of student graduation path. The KAS permits advisors to specify rules on the more substantive advising issues. The system permits the university students to obtain an optimized selection of courses without the assistance of a human advisor. The knowledge base consisting of rules and facts has been implemented using Java Expert System Shell version 71p2. In this paper, we describe the system structure, facility, user interface, and some experience with the system.
Complete genome sequence of the moderate thermophile Anaerobaculum mobile type strain (NGAT)

Anaerobaculum mobile Menes and Muxí 2002 is one of three described species of the genus Anaerobaculum, family Synergistaceae, phylum Synergistetes. This anaerobic and motile bacterium ferments a range of carbohydrates and mono- and dicarboxylic acids with acetate, hydrogen and CO2 as end products. A. mobile NGAT is the first member of the genus Anaerobaculum and the sixth member of the phylum Synergistetes with a completely sequenced genome. Here we describe the features of this bacterium, together with the complete genome sequence, and annotation. The 2,160,700 bp long single replicon genome with its 2,053 protein-coding and 56 RNA genes is part of the GenomicEncyclopedia ofBacteria andArchaea project.
Data Fusion in Distributed Embedded Wireless Sensor Network

the extended Kalman filter. The extended Kalman filter is used at each node during Level I processing to produce an accurate estimate of the sensor measurement to overcome the uncertainty peculiar to the wireless sensors, and the estimate error covariance. These estimates are sent to the fusion center where data fusion is performed based on weighted average method using the error covariance as the weight. This approach has the potential of producing better results than using individual sensors or mere average of results from the sensors.
Simulating Building Motions Using Ratios of the Building's Natural Frequencies and a Timoshenko Beam Model

A simple prismatic Timoshenko beam model with soil-structure interaction (SSI) is developed to approximate the dynamic linear elastic behavior of buildings. A closed-form solution with complete vibration modes is derived. It is demonstrated that building properties, including mode shapes, can be derived from knowledge of the natural frequencies of the first two translational modes in a particular direction and from the building dimensions. In many cases, the natural frequencies of a building's first two vibrational modes can be determined from data recorded by a single seismometer. The total building's vibration response can then be simulated by the appropriate modal summation. Preliminary analysis is performed on the Caltech Millikan Library, which has significant bending deformation because it is much stiffer in shear.
Moves by taking account into other players in Othello

In this paper, we introduce a modified Temporal Difference method which takes account into the moves of other players in populations for 1-ply Othello. That is, by using Temporal Learning method, we introduce Memetic Algorithm, i.e., hybridization of EA with local search method. The proposed modified TD-method can maintain the diversity in populations. Experimental results show the effectiveness of the proposed method.
Carbon Lock‐In: The Role of Expectations

We argue that expectations about future energy use affect the transition from fossil to renewables, because of an interaction between innovation and resource scarcity. The paper presents a model of directed technical change to study this interaction. We find that fossil-saving technical change erodes the incentives to implement the renewables. Conversely, the anticipation of a transition to renewables diminishes the incentives to invest in fossil technology. As a result, two equilibria may arise, one with a transition to renewables and with low fossil efficiency, and one without renewables and with high fossil efficiency. Expectations determine which equilibrium arises in equilibrium.