Miracle-dz/UniFAR-FTUs huggingface dataset:
Interval type-2 fuzzy logic based robotic sailing

Performance measurement of robotic controllers based on fuzzy logic, operating under uncertainty, is a subject area which has been somewhat ignored in the current literature. In this paper standard measures such as RMSE are shown to be inappropriate for use under conditions where the environmental uncertainty changes significantly between experiments. An overview of current methods which have been applied by other authors is presented, followed by a design of a more sophisticated method of comparison. This method is then applied to a robotic control problem to observe its outcome compared with a single measure. Results show that the technique described provides a more robust method of performance comparison than less complex methods allowing better comparisons to be drawn.
Differentiated Threat and the Genesis of Prejudice: Group-Specific Antecedents of Homonegativity, Islamophobia, Anti-Semitism, and Anti-Immigrant Attitudes

In this article we argue that an exclusive focus on the generalized aspect of prejudice limits understanding of the structure and genesis of prejudice towards particular out-groups. In order to conceptualize the specific nature of particular prejudices, we propose the differentiated threat approach. This framework postulates that different out-groups challenge diverse realistic and symbolic interests, and that these out-group specific threats affect various socio-economic strata and cultural groups differentially. The differentiated threat approach is applied to analyse majority-group Belgians’ attitudes towards immigrants, Muslims, Jews and homosexuals. The results show that a common denominator of prejudice can be distinguished, but that the prejudices towards the various out-groups contain substantively relevant unique components that are influenced by socio-demographic and attitudinal predictors in diverging ways. Gender traditionalism is found to reinforce homonegativity and temper Islamophobia at the same time. Feelings of relative deprivation are more strongly related to Islamophobia than to other forms of prejudice, and are unrelated to homonegativity. Religious involvement plays a more decisive role in the formation of antiSemitism and homonegativity than it does in the other forms of prejudice. Anti-immigration attitudes show a class gradient that is absent in attitudes towards other out-groups. Our results evidence that the concrete realization of attitudes towards a specific out-group cannot be understood without paying attention to structural and contextual factors, such as social positions, the nature of inter-group relations, power balances and elite discourses.
Ieee Transactions on Affective Computing a Survey of Personality Computing

—Personality is a psychological construct aimed at explaining the wide variety of human behaviors in terms of a few, stable and measurable individual characteristics. In this respect, any technology involving understanding, prediction and synthesis of human behavior is likely to benefit from Personality Computing approaches, i.e. from technologies capable of dealing with human personality. This paper is a survey of such technologies and it aims at providing not only a solid knowledge base about the state-of-the-art, but also a conceptual model underlying the three main problems addressed in the literature, namely Automatic Personality Recognition (inference of the true personality of an individual from behavioral evidence), Automatic Personality Perception (inference of personality others attribute to an individual based on her observable behavior) and Automatic Personality Synthesis (generation of artificial personalities via embodied agents). Furthermore, the article highlights the issues still open in the field and identifies potential application areas.
Accelerating the ANSYS Direct Sparse Solver with GPUs

As hardware accelerators and especially GPUs become more and more popular to accelerate the compute intensive parts of an algorithm, standard high performance computing packages are starting to benefit from this trend. We present the first GPU acceleration of the ANSYS direct sparse solver. We explain how such a multifrontal solver may be accelerated using an optimized dense matrix factorization, and show that with the current generation of hardware, speed-ups of up to 4× can be obtained by utilizing mixed precision, and 2.9× in double precision. We discuss the impact of the model being studied on the overall performance, as well as the influence of using single precision factorizations on the accuracy of the solution.
The effects of lightning-produced NO x and its vertical distribution on atmospheric chemistry: sensitivity simulations with MATCH-MPIC

Abstract. The impact of different assumptions concerning the source magnitude as well as the vertical placement of lightning-produced nitrogen oxides is studied using the global chemistry transport model MATCH-MPIC. The responses of NOx, O3, OH, HNO3 and peroxyacetyl-nitrate (PAN) are investigated. A marked sensitivity to both parameters is found. NOx burdens globally can be enhanced by up to 100% depending on the vertical placement and source magnitude strength. In all cases, the largest enhancements occur in the tropical upper troposphere, where lifetimes of most trace gases are longer and where they thus become more susceptible to long-range transport by large-scale circulation patterns. Comparison with observations indicate that 0 and 20 Tg(N)/yr production rates of NOx from lightning are too low and too high, respectively. However, no single intermediate production rate or vertical distribution can be singled out as best fitting the observations, due to the large scatter in the datasets. This underscores the need for further measurement campaigns in key regions, such as the tropical continents.
Laser-based Interacting People Tracking Using Multi-level Observations

Laser based people tracking systems have been developed for mobile robotics and intelligent surveillance areas. Existing systems rely on simple laser point clustering methods to extract object locations. However, when dealing with multiple interacting people, laser points of different persons are often interlaced and undistinguishable due to measurement noise and they can not provide reliable features. It causes current systems quite fragile and unreliable. In this paper, we try to explore potentials from multi-level observations including weakly detected features, stably extracted features and foreground points. For inference, detection incorporated joint particle filter is used. And stably extracted features are utilized to properly estimate parameters of dynamic model for each target. In real experiments, we obtain raw data from multiple registered laser scanners, which measure two legs for each people. Evaluations with real data show that the proposed method is more robust and effective than existing approaches
Three‐area epidemiological study of geographic differences in stroke mortality.: II. Results

An epidemiological study was conducted of geographic differences in stroke mortality between the following areas within the United States; Savannah, Georgia (high stroke rates), Hagerstown, Maryland (intermediate stroke rates) and Pueblo, Colorado (low stroke rates). Population samples 35–54 years of age of the three cities were drawn for interview and examination to determine medical conditions and living habits of these populations. The population samples were compared with emphasis on possible risk factors for stroke: serum cholesterol and glucose tolerance test determinations, weight and height measurements, blood pressure and cigarette smoking. The gradient of increasing prevalence of stroke-related risk factors from low to intermediate to high for the three cities was present for blood pressure in black females and white males and for glucose tolerance tests in whites and nonwhites. No other consistent pattern of increasing prevalence of risk factors for stroke was evident.
Endocannabinoid Signaling in Rat Somatosensory Cortex: Laminar Differences and Involvement of Specific Interneuron Types

Endocannabinoid-mediated retrograde signaling exerts powerful control over synaptic transmission in many brain areas. However, in the neocortex, the precise laminar, cellular, and subcellular localization of the type 1 cannabinoid receptor (CB1) as well as its function has been elusive. Here we combined multiple immunolabeling with whole-cell recordings to investigate the morpho-functional characteristics of cannabinoid signaling in rat somatosensory cortex. Immunostaining for CB1 revealed axonal and somatic labeling with striking layer specificity: a high density of CB1-positive fibers was seen in layers II-III, in layer VI, and in upper layer V, whereas other layers had sparse (layer IV) or hardly any (layer I) staining. Membrane staining for CB1 was only found in axon terminals, all of which contained GABA and formed symmetric synapses. Double immunostaining also revealed that CB1-positive cells formed two neurochemically distinct subpopulations: two-thirds were cholecystokinin positive and one-third expressed calbindin, each subserving specific inhibitory functions in cortical networks. In addition, cannabinoid sensitivity of GABAergic input showed striking layer specificity, as revealed by both electrophysiological and anatomical experiments. We found a unique population of large pyramidal neurons in layer VB that received much less perisomatic innervation from CB1-expressing GABAergic axon terminals and, accordingly, showed no depolarization-induced suppression of inhibition, unlike pyramidal cells in layer II, and a population of small pyramidal cells in layer V. This suggests that inhibitory control of pyramidal cells involved in intracortical or corticostriatal processing is fine-tuned by activity-dependent endocannabinoid signaling, whereas inhibition of pyramidal cells relaying cortical information to lower subcortical effector centers often lacks this plasticity.
Residual entropy in a model for the unfolding of single-polymer chains

We study the unfolding of a single-polymer chain due to an external force. We use a simplified model which allows to perform all calculations in closed form without assuming a Boltzmann-Gibbs form for the equilibrium distribution. Temperature is then defined by calculating the Legendre transform of the entropy under certain constraints. The application of the model is limited to flexible polymers. It exhibits a gradual transition from compact globule to rod. The boundary line between these two phases shows reentrant behavior. This behavior is explained by the presence of residual entropy.
The angular power spectrum of NVSS radio galaxies

We measure the angular power spectrum C of radio galaxies in the NRAO VLA Sky Survey (NVSS) using two independent methods: direct spherical harmonic analysis and maximum likelihood estimation (MLE). The results are consistent and can be understood using models for the spatial matter power spectrum and for the redshift distribution of radio galaxies at mJy flux density levels. A good fit to the angular power spectrum can only be achieved if radio galaxies possess high bias with respect to mass fluctuations; by marginalizing over the other parameters of the model we derive a 68 per cent confidence interval 1.53 < b 0 x σ 8 < 1.87, where b 0 is the linear bias factor for radio galaxies and σ 8 describes the normalization of the matter power spectrum. Our models indicate that the majority of the signal in the NVSS C spectrum is generated at low redshifts z ≤ 0.1. Individual redshifts for the NVSS sources are thus required to alleviate projection effects and probe directly the matter power spectrum on large scales.
Confrontation Naming and Reading Abilities at Primary School: A Longitudinal Study

Background. Confrontation naming tasks are useful in the assessment of children with learning and language disorders. Objectives. The aims of this study were (1) providing longitudinal data on confrontation naming; (2) investigating the role of socioeconomic status (SES), intelligence, age, and gender in confrontation naming; (3) identifying relationship between confrontation naming and reading abilities (fluency, accuracy, and comprehension). Method. A five-year longitudinal investigation of confrontation naming (i.e., the Boston Naming Test (BNT)) in a nonclinical sample of Italian primary school children was conducted (n = 126), testing them at the end of each school year, to assess nonverbal intelligence, confrontation naming, and reading abilities. Results. Performance on the BNT emerged as a function of IQ and SES. Significant correlations between confrontation naming and reading abilities, especially comprehension, were found; BNT scores correlated better with reading fluency than with reading accuracy. Conclusions. The longitudinal data obtained in this study are discussed with regard to reading abilities, intelligence, age, gender, and socioeconomic status.
Warm and Competent Hassan = Cold and Incompetent Eric: A Harsh Equation of Real-Life Hiring Discrimination

In a field experiment, we sent out 5,636 job applications varying how Swedish (in-group) and Arab (out-group) applicants presented themselves in terms of two fundamental dimensions of social judgment: warmth and competence. Results indicate substantial discrimination where Arab applicants receive fewer invitations to job interviews. Conveying a warmer or more competent personality increases invitations. However, appearing both warm and competent seems to be especially important for Arab applicants. Arab applicants need to appear warmer and more competent than Swedish applicants to be invited equally often. The practical importance of signaling warmth and competence in labor market contexts is discussed.
Chapter 23 . Patient Acuity

For more than 50 years, researchers have worked to develop staffing methodologies to accurately indicate the number of nurses needed to give good care to patients. By the 1980s, patient classification systems (PCSs) were in common use to predict patient requirements for nursing care. These requirements, or patient acuity, could then be used to manage nursing personnel resources, costs, and quality. 3 PCSs have numerous limitations, however. Paramount among these are (a) validity and reliability are infrequently monitored; 5 (b) the tools are often complex and require considerable time to complete; (c) they lack credibility among staff nurses and administrators; 6 (d) they are not designed to detect census variability throughout the day from patient movement due to admissions, discharges, transfers, and short-stays; 8 and (e) their focus on tasks shortchanges the cognitive work and knowledge inherent to expert nursing care and sophisticated surveillance. 10 As restructuring and mergers escalated in the 1990s, issues of patient acuity once again moved to the foreground. Patients were said to be sicker and leaving health care facilities more quickly. Concerns about rising patient acuity continue into the new millennium because of the relentless change that is now common in health care. Moreover, acuity is one of many elements that comprise the often used but not yet well specified concept of workload. 12
Inter-Organizational Knowledge Transfer: Current Themes and Future Prospects

Many papers have been published recently in the fields of strategy and international business research incorporating the role of organizational knowledge as a basis of firm competitive advantage. While such knowledge is normally developed within the firm, it is important that firms possess the ability to learn from others in order to meet the increasing pace of competition. Knowledge transfer, defined here as an event through which one organization learns from the experience of another, has thus become an important research area within the broader domain of organizational learning and knowledge management. This paper presents a theoretical framework, identifies key themes covered by the six articles included in the Special Issue on Inter-Organizational Knowledge Transfer, and then discusses priorities for future research.
The future role of dams in the United States of America

Storage and controlled distribution of water have been key elements of a human strategy to overcome the space and time variability of water, which have been marked by catastrophic droughts and floods throughout the course of civilization. In the United States, the peak of dam building occurred in the mid‐20th century with knowledge limited to the scientific understanding and hydrologic records of the time. Ecological impacts were considered differently than current legislative and regulatory controls would potentially dictate. Additionally, future costs such as maintenance or removal beyond the economic design life were not fully considered. The converging risks associated with aging water storage infrastructure and uncertainty in climate in addition to the continuing need for water storage, flood protection, and hydropower result in a pressing need to address the state of dam infrastructure across the nation. Decisions regarding the future of dams in the United States may, in turn, influence regional water futures through groundwater outcomes, economic productivity, migration, and urban growth. We advocate for a comprehensive national water assessment and a formal analysis of the role dams play in our water future. We emphasize the urgent need for environmentally and economically sound strategies to integrate surface and groundwater storage infrastructure in local, regional, and national water planning considerations. A research agenda is proposed to assess dam failure impacts and the design, operation, and need for dams considering both paleo and future climate, utilization of groundwater resources, and the changing societal values toward the environment.
Mitochondrial turnover in liver is fast in vivo and is accelerated by dietary restriction: application of a simple dynamic model

‘Mitochondrial dysfunction’, which may result from an accumulation of damaged mitochondria in cells due to a slowed‐down rate of mitochondrial turnover and inadequate removal of damaged mitochondria during aging, has been implicated as both cause and consequence of the aging process and a number of age‐related pathologies. Despite growing interest in mitochondrial function during aging, published data on mitochondrial turnover are scarce, and differ from each other by up to one order of magnitude. Here we demonstrate that re‐utilization of the radioactively labelled precursor in pulse‐chase assays is the most likely cause of significant overestimation of mitochondrial turnover rates. We performed a classic radioactive label pulse‐chase experiment using 14C NaHCO3, whose 14C is incorporated into various amino acids, to measure mitochondrial turnover in mouse liver. In this system, the activity of the urea cycle greatly limited arginine dependent label re‐utilization, but not that of other amino acids. We used information from tissues that do not have an active urea cycle (brain and muscle) to estimate the extent of label re‐utilization with a dynamic mathematical model. We estimated the actual liver mitochondrial half life as only 1.83 days, and this decreased to 1.16 days following 3 months of dietary restriction, supporting the hypothesis that this intervention might promote mitochondrial turnover as a part of its beneficial effects.
How can PhD supervisors play a role in bridging academic cultures?

ABSTRACT PhD supervision is generally deemed a rewarding experience as supervisors and students embark on an academic journey together. Pursuing a PhD in a ‘foreign’ context inevitably brings forth distinct opportunities and challenges for students and their supervisors. Using Interpretative Phenomenological Analysis, this qualitative study of supervisors and PhD students examines the cross-cultural facets of doctoral supervision in the light of Urie Bronfenbrenner’s bio-ecological theory of human development and its underpinning explanation for supervisory processes and learning orientations. Undertaken in the Danish context, our paper highlights exemplars of contrasting supervisors’ and PhD students’ experience in relation to academic and psychosocial adaptations. This research strongly endorses that supervisors’ appreciation of the intertwined link between academia and society combined with a positive view of their role in bridging academic cultures can powerfully complement students’ adjustments and subsequently make a qualitative difference towards a more fulfilling and meaningful academic journey together.
How Bayesians Debug

Manual debugging is expensive. And the high cost has motivated extensive research on automated fault localization in both software engineering and data mining communities. Fault localization aims at automatically locating likely fault locations, and hence assists manual debugging. A number of fault localization algorithms have been developed in recent years, which prove effective when multiple failing and passing cases are available. However, we notice what is more commonly encountered in practice is the two-sample debugging problem, where only one failing and one passing cases are available. This problem has been either overlooked or insufficiently tackled in previous studies. In this paper, we develop a new fault localization algorithm, named BayesDebug, which simulates some manual debugging principles through a Bayesian approach. Different from existing approaches that base fault analysis on multiple passing and failing cases, BayesDebug only requires one passing and one failing cases. We reason about why BayesDebug fits the two- sample debugging problem and why other approaches do not. Finally, an experiment with a real-world program grep-2.2 is conducted, which exemplifies the effectiveness of BayesDebug.
Quantum automorphism groups of small metric spaces

To any ? nite metric space X we associate the universal Hopf C*-algebra H coacting on X. We prove that spaces X having at most 7 points fall into one of the following classes: (1) the coaction of H is not transitive; (2) H is the algebra of functions on the automorphism group of X; (3) X is a simplex and H corresponds to a Temperley? Lieb algebra; (4) X is a product of simplices and H corresponds to a Fuss? Catalan algebra.
Cimmyt Institutional Multimedia Publications Repository Sample Size for Detecting and Estimating the Proportion of Transgenic Plants with Narrow Confidence Intervals Sample Size for Detecting and Estimating the Proportion of Transgenic Plants with Narrow Confidence Intervals

Detecting the presence of genetically modified plants (adventitious presence of unwanted transgenic plants, AP) from outcrossing species such as maize requires a method that lowers laboratory costs without losing precision. Group testing is a procedure in which groups that contain several units (plants) are analysed without having to inspect individual plants, with the purpose of estimating the prevalence of AP in a population at a low cost without losing precision. When pool (group) testing is used to estimate the prevalence of AP (p), there are sampling procedures for calculating a confidence interval (CI); however, they usually do not ensure precision in the estimation of p. This research proposes a method to determine the number of pools (g), given a pool size (k), that ensures precision in the estimated proportion of AP (that is, it ensures a narrow CI). In addition, the study computes the maximum likelihood estimator of p under pool testing and its exact CI, considering the detection limit of the laboratory, d, and the concentration of AP per unit (c). The proposed sample procedure involves two steps: (1) obtain a sample size that guarantees that the mean width of the CI (w) is narrower than the desired width (v); and (2) iteratively increase the sample size until w is smaller than the desired width (v) with a specified degree of certainty (g). Simulated data were created and tables are presented showing the different possible scenarios that a researcher may encounter. An R program is given and explained that will reproduce the results and make it easy for the researcher to create other scenarios.