Miracle-dz/UniFAR-FTUs huggingface dataset:
Violence, aggression and fear in the workplace

Problem Statement: Fear is the most significant consequence of direct or vicarious experience of violence and aggression in the workplace. Both entities significantly affect workers’ physical and psychological well-being. Research Question: How does workplace violence/aggression effect workers’ well-being? Purpose of the Study: To identify behaviours of psychological aggression perpetrated by the public which occur more often and to analyse the implications of workplace violence/aggression on individual psychological and physical well-being. Methods: Cross-sectional and correlational study, developed on a sample of 131 inspectors (68% women) with an average age of 41.89 years. Collection of data: Physical and Vicarious Violence at Work; Fear of Future Violent Events at Work; Workplace Aggression Questionnaire; General Health Questionnaire. Results: The prevalence of aggression in the workplace was significant (40% physical; 90% psychological; 76% vicarious and 50% fear). The results showed that the effects of aggression in the workplace on well-being are indirect effects and mediated by fear. Those who experience both physical and vicarious violence feel more fear and fear affects their physical and psychological well-being. Conclusion: The results convey information which supports conceptualization and assessment models of workplace aggression as a nosologic entity originating in negative physical and psychological experiences lived by individuals in their workplace. Knowledge and a better understanding of the types and dimensions of the phenomenon violence and aggression in the workplace is a powerful support instrument for defining more effective prevention strategies.
Terpenes associated with resistance against the gall wasp, Leptocybe invasa, in Eucalyptus grandis.

Leptocybe invasa is an insect pest causing gall formation on oviposited shoot tips and leaves of Eucalyptus trees leading to leaf deformation, stunting, and death in severe cases. We previously observed different constitutive and induced terpenes, plant specialized metabolites that may act as attractants or repellents to insects, in a resistant and susceptible clone of Eucalyptus challenged with L. invasa. We tested the hypothesis that specific terpenes are associated with pest resistance in a Eucalyptus grandis half-sib population. Insect damage was scored over 2 infestation cycles, and leaves were harvested for near-infrared reflectance (NIR) and terpene measurements. We used Bayesian model averaging for terpene selection and obtained partial least squares NIR models to predict terpene content and L. invasa infestation damage. In our optimal model, 29% of the phenotypic variation could be explained by 7 terpenes, and the monoterpene combination, limonene, α-terpineol, and 1,8-cineole, could be predicted with an NIR prediction ability of . 67. Bayesian model averaging supported α-pinene, γ-terpinene, and iso-pinocarveol as important for predicting L. invasa infestation. Susceptibility was associated with increased γ-terpinene and α-pinene, which may act as a pest attractant, whereas reduced susceptibility was associated with iso-pinocarveol, which may act to recruit parasitoids or have direct toxic effects.
Association Test Algorithm Between a Qualitative Phenotype and a Haplotype or Haplotype Set Using Simultaneous Estimation of Haplotype Frequencies, Diplotype Configurations and Diplotype-Based Penetrances

Analysis of the association between haplotypes and phenotypes is becoming increasingly important. We have devised an expectation-maximization (EM)-based algorithm to test the association between a phenotype and a haplotype or a haplotype set and to estimate diplotype-based penetrance using individual genotype and phenotype data from cohort studies and clinical trials. The algorithm estimates, in addition to haplotype frequencies, penetrances for subjects with a given haplotype and those without it (dominant mode). Relative risk can thus also be estimated. In the dominant mode, the maximum likelihood under the assumption of no association between the phenotype and presence of the haplotype (L0max) and the maximum likelihood under the assumption of association (Lmax) were calculated. The statistic −2 log(L0max/Lmax) was used to test the association. The present algorithm along with the analyses in recessive and genotype modes was implemented in the computer program PENHAPLO. Results of analysis of simulated data indicated that the test had considerable power under certain conditions. Analyses of two real data sets from cohort studies, one concerning the MTHFR gene and the other the NAT2 gene, revealed significant associations between the presence of haplotypes and occurrence of side effects. Our algorithm may be especially useful for analyzing data concerning the association between genetic information and individual responses to drugs.
MIXSyn: An efficient logic synthesis methodology for mixed XOR-AND/OR dominated circuits

We present a new logic synthesis methodology, called MIXSyn, that produces area-efficient results for mixed XOR-AND/OR dominated logic functions. MIXSyn is a two step synthesis process. The first step is a hybrid logic optimization that enables selective and distinct optimization of AND/OR and XOR-intensive portions of the logic circuit. The second step is a library-free technology mapping that enhances design flexibility with a tractable computational cost. MIXSyn has been tested on a set of large MCNC benchmarks. Experimental results indicate that MIXSyn produces CMOS circuits with 18.0% and 9.2% fewer devices, on the average, with respect to state-of-art academic and commercial synthesis tools, respectively. MIXSyn is also capable to exploit the opportunity of novel XOR implementations offered by the use of double-gate ambipolar devices. Experimental results show that MIXSyn can reduce the number of ambipolar transistors by 20.9% and 15.3%, on the average, with respect to state-of-art academic and commercial synthesis tools, respectively.
Opportunism over strategy: a history of regional policy and spatial planning in Ireland

ABSTRACT Since the 1950s regional policy and spatial planning in Ireland has been largely reactive and opportunistic in nature rather than strategically or ideologically driven. As a result, inconsistent approaches to regional and spatial issues have arisen, driven mainly by short-term goals or issues of the day rather than adherence to a clear, long-term strategic objective. Thus, Government interest in regional and spatial issues has ebbed and flowed in reaction to the events and economic climate of the day; during the 1950s interest surged in reaction to rural decay, emigration and economic failure, waned with entry in to the European Economic Community in 1973 and the prolonged recession of the 1980s and re-emerged in response to growing congestion problems arising from the ‘Celtic Tiger’ at the turn of the century and led to the publication of the National Spatial Strategy (NSS) in 2002. This history is outlined and brought up to date, to incorporate recent developments, such as the publication of the government strategy document ‘Putting People First’. It is hoped that this may provide context to facilitate forthcoming deliberations around the recently announced ‘replacement’ NSS for Ireland.
Irreversible Investment and Uncertainty: An Empirical Study of Rice Mills in the Mekong River Delta, Vietnam

This paper investigates the irreversibility of investments and the impact this has on the nature of the relationship between investment and uncertainty. The empirical analysis uses firm-level data and is based on a survey of 210 rice-milling firms in the Mekong River Delta in Vietnam, which was carried out during the year 2000.We show that the relationship between investment and uncertainty is influenced by the extent to which investments are irreversible. In particular, the results indicate that when the degree of irreversibility increases, this increases the negative association between uncertainty and investment.
Clustering with Extended Constraints by Co-Training

Constrained Clustering is a data mining technique that produces clusters of similar data by using pre-given constraints about data pairs. If we consider using constrained clustering for some practical interactive systems such as information retrieval or recommendation systems, the cost of constraint preparation will be the problem as well as other machine learning techniques. In this paper, we propose a method to complement the lack of constraints by using co-training framework, which extends training examples by leveraging two kinds of feature sets. Our method is based on a constrained clustering ensemble algorithm that integrates a set of clusters produced by a constrained k-means with random ordered data assignment, and runs the same algorithm on two different feature sets to extend constraints. We evaluate our method on a Web page dataset that provides two different feature sets. The results show that our method achieves the performance improvement by using co-training approach.
Black Males’ Perceptions of the Work–College Balance

This study discusses the impact of employment on academic success among Black male students in the community college, from students’ perspectives. Data were collected from semi-structured interviews with 28 participants from a southwestern community college. Findings from this study illustrated that students, in general, discussed employment as a barrier to their academic success. In particular, students noted the difficulty in adjusting to new working schedules, being too tired to fully apply themselves to their studies, and tenuous relationships with supervisors/employers. Recommendations for preparing students for and facilitating a successful work–college balance are extended.
Correlates of Total Sedentary Time and Screen Time in 9–11 Year-Old Children around the World: The International Study of Childhood Obesity, Lifestyle and the Environment

Purpose Previously, studies examining correlates of sedentary behavior have been limited by small sample size, restricted geographic area, and little socio-cultural variability. Further, few studies have examined correlates of total sedentary time (SED) and screen time (ST) in the same population. This study aimed to investigate correlates of SED and ST in children around the world. Methods The sample included 5,844 children (45.6% boys, mean age = 10.4 years) from study sites in Australia, Brazil, Canada, China, Colombia, Finland, India, Kenya, Portugal, South Africa, the United Kingdom, and the United States. Child- and parent-reported behavioral, household, and neighborhood characteristics and directly measured anthropometric and accelerometer data were obtained. Twenty-one potential correlates of SED and ST were examined using multilevel models, adjusting for sex, age, and highest parental education, with school and study site as random effects. Variables that were moderately associated with SED and/or ST in univariate analyses (p<0.10) were included in the final models. Variables that remained significant in the final models (p<0.05) were considered correlates of SED and/or ST. Results Children averaged 8.6 hours of daily SED, and 54.2% of children failed to meet ST guidelines. In all study sites, boys reported higher ST, were less likely to meet ST guidelines, and had higher BMI z-scores than girls. In 9 of 12 sites, girls engaged in significantly more SED than boys. Common correlates of higher SED and ST included poor weight status, not meeting physical activity guidelines, and having a TV or a computer in the bedroom. Conclusions In this global sample many common correlates of SED and ST were identified, some of which are easily modifiable (e.g., removing TV from the bedroom), and others that may require more intense behavioral interventions (e.g., increasing physical activity). Future work should incorporate these findings into the development of culturally meaningful public health messages.
A Comparative Survey of Methods for Remote Heart Rate Detection From Frontal Face Videos

Remotely measuring physiological activity can provide substantial benefits for both the medical and the affective computing applications. Recent research has proposed different methodologies for the unobtrusive detection of heart rate (HR) using human face recordings. These methods are based on subtle color changes or motions of the face due to cardiovascular activities, which are invisible to human eyes but can be captured by digital cameras. Several approaches have been proposed such as signal processing and machine learning. However, these methods are compared with different datasets, and there is consequently no consensus on method performance. In this article, we describe and evaluate several methods defined in literature, from 2008 until present day, for the remote detection of HR using human face recordings. The general HR processing pipeline is divided into three stages: face video processing, face blood volume pulse (BVP) signal extraction, and HR computation. Approaches presented in the paper are classified and grouped according to each stage. At each stage, algorithms are analyzed and compared based on their performance using the public database MAHNOB-HCI. Results found in this article are limited on MAHNOB-HCI dataset. Results show that extracted face skin area contains more BVP information. Blind source separation and peak detection methods are more robust with head motions for estimating HR.
Tetravariate point-process model for the continuous characterization of cardiovascular-respiratory dynamics during passive postural changes

In this study, we present a new methodology for time-varying characterization of cardiovascular (CV) control, which includes RR interval (RRI), systolic arterial pressure (SAP), respiration (RSP) and pulse transit time (PTT). Within a multivariate model, CV dynamics are represented as stochastic point processes whose means has a tetravariate autoregressive structure. Such framework provides the simultaneous time-frequency assessment of: (i) both arms of the SAP-RRI loop, along baroreflex and mechanical feedforward pathways; (ii) Respiratory sinus arrhythmia (RSA), through the direct evaluation of the interactions between RSP and the RRI; (iii) the coupling between cardio-respiratory activity and vascular tone through quantification of the interactions between PTT and the other CV variables. We validated the model by characterizing CV control in 16 healthy subjects during a tilt table test, and we were able to confirm a satisfactory model's goodness-of-ft. We further estimated transfer function gains, instantaneous powers and directed coherences, and observed that RSP strongly drove respiratory-related oscillations in all the other CV variables, and that PTT depended on RRI dynamics rather than blood pressure variations. During head-up tilt, baroreflex sensitivity and RSA decreased, while the gain from RRI to SAP increased, thus confirming previous physiological characterizations.
Design of a receiver faster than Nyquist signalling in DVB-S2 standard

In this paper, we intend to give an exemplary receiver architecture for Faster Than Nyquist(FTN) signalling transmission that is applicable to DVB-S2 standard. In order to ensure higher spectral efficiency(SE) than the existing DVB-S2 standard based on Nyquist rate, symbol time interval can be reduced by relaxing the orthogonal criterion. As a result, the problem of inter symbol interference(ISI) arises. This paper is mainly shown to adapt to DVB-S2 receiver under ISI channel that is caused by FTN signaling. The proposed structure can bring about the improvement of SE and tolerate the ISI channel impairment, effectively.
Investigating casual conversation: a systemic functional linguistic and social network model of analysing social reality

This research is concerned with the study of language and the social order. Working within the systemic functional theory of language, and utilising the concept of a social network to model the social order, the primary aim is to put on display the relationship between the linguistic system and social order, between language and culture. Systemic functional grammar (Halliday, 1995; Halliday and Hasasn, 1985/9; Halliday and Matthiesen, 1997; Eggins and Slade 1997), with its emphasis on language as a social semiotic, is used to analyse the language used by a group of four women engaged in casual conversation in a small Australian island community. Here the analysis reveals how the women negotiate their social reality when speaking to each other. It shows how their social relations are shaped within a text (Hasan, 1996), and explores the notion that, despite the seemingly trivial, unconscious nature of casual interactions, power and solidarity are continually being negotiated by the participants (Halliday, 1994; Eggins and Slade, 1997). More specifically, this research examines the notion that through lexico-grammatical and semantic selections participants are able to negotiate dominant positions in interaction. Social Network analysis has been used to examine the relationship between the individual and the group. It offers a quantifiable analytical tool for describing the character of an individual's everyday social relationships (Milroy, 1987). A social network analysis is used in the present study to map the social relationships in the tight-knit network, or speech fellowship, of these women (creating a map of the context of situation in SFL terminology). Change in the social relationships and language choices is modeled by revisiting the participants 15 months later in a contextually similar environment and re-analysing the network and linguistic options. Systemic functional linguistics is then used to highlight the interdependency of language and social order. Through systematic accounts of language and the context in which it is embedded this reciprocal nature is displayed and language and social order can be seen, not as two distinct entities, but rather as one phenomena seen from two different perspectives (Halliday, 1978; Mathiessen, 1993).
Global Routing in VLSI Design: Algorithms, Theory, and Computational Practice

Global routing in VLSI (very large scale integration) design is one of the most challenging discrete optimization problems in computational theory and practice. In this paper, we present a polynomial time algorithm for the global routing problem based on integer programming formulation with a theoretical approximation bound. The algorithm ensures that all routing demands are satisfled concurrently, and the overall cost is approximately minimized. We provide both serial and parallel implementation as well as develop several heuristics used to improve the quality of the solution and reduce running time. We provide computational results on two sets of well-known benchmarks and show that, with a certain set of heuristics, our new algorithms perform extremely well compared with other integer-programming models.
Self-assembly of polystyrene-block-poly(4-vinylpyridine) block copolymer on molecularly functionalized silicon substrates: fabrication of inorganic nanostructured etchmask for lithographic use

Block copolymers (BCPs) are seen as a possible cost effective complementary technique to traditional lithography currently used in the semiconductor industry. This unconventional approach has received increased attention in recent years as a process capable of facilitating the ever decreasing device size demanded. Control over microdomain orientation and enhancing long range order are key aspects for the utility of BCPs for future lithographic purposes. This paper provides an efficient route for the fabrication of highly ordered nanostructures suitable for such application. We investigate the significant effect of surface treatment regarding the self-assembly process of polystyrene-block-poly(4-vinylpyridine) (PS-b-P4VP) by employing an ethylene glycol layer, producing well defined perpendicular P4VP cylinders with long range order over large surface areas. Nanopores are generated through surface reconstruction using a preferential solvent, which allows for the incorporation of an inorganic moiety. Treatment of this pattern with UV/Ozone leads to formation of well-ordered iron oxide nanodots with a pitch of ∼26 nm. Furthermore, high aspect ratio silicon nanopillars result following pattern transfer (using Ar/O2).
Design and experimental validation of a hybrid optimal control for DC-DC power converters

In this article, the problem of hybrid optimal control for DC-DC power converters is treated. The designed control is of type bang-bang established from Pontryagin's maximum principle. The control is a state feedback and it is determined using an energy based minimization criterion derived from the power balance of Port-Hamiltonian systems. The developed control has the advantage to be easy to design and simple to implement in real time applications. The proposed control is applied to a SEPIC converter and validated in simulation and experimentation.
P-selectin glycoprotein ligand 1 is a ligand for L-selectin on neutrophils, monocytes, and CD34+ hematopoietic progenitor cells

Selectins play a critical role in initiating leukocyte binding to vascular endothelium. In addition, in vitro experiments have shown that neutrophils use L-selectin to roll on adherent neutrophils, suggesting that they express a nonvascular L-selectin ligand. Using a L- selectin/IgM heavy chain (mu) chimeric protein as an immunocytological probe, we show here that L-selectin can bind to neutrophils, monocytes, CD34+ hematopoietic progenitors, and HL-60 and KG-1 myeloid cells. The interaction between L-selectin and leukocytes was protease sensitive and calcium dependent, and abolished by cell treatment with neuraminidase, chlorate, or O-sialoglycoprotein endopeptidase. These results revealed common features between leukocyte L-selectin ligand and the mucin-like P-selectin glycoprotein ligand 1 (PSGL-1), which mediates neutrophil rolling on P- and E-selectin. The possibility that PSGL-1 could be a ligand for L-selectin was further supported by the ability of P-selectin/mu chimera to inhibit L-selectin/mu binding to leukocytes and by the complete inhibition of both selectin interactions with myeloid cells treated with mocarhagin, a cobra venom metalloproteinase that cleaves the amino terminus of PSGL-1 at Tyr-51. Finally, the abrogation of L- and P-selectin binding to myeloid cells treated with a polyclonal antibody, raised against a peptide corresponding to the amino acid residues 42-56 of PSGL-1, indicated that L- and P-selectin interact with a domain located at the amino- terminal end of PSGL-1. The ability of the anti-PSGL-1 mAb PL-1 to inhibit L- and P-selectin binding to KG-1 cells further supported that possibility. Thus, apart from being involved in neutrophil rolling on P- and E-selectin, PSGL-1 also plays a critical role in mediating neutrophil attachment to adherent neutrophils. Interaction between L- selectin and PSGL-1 may be of major importance for increasing leukocyte recruitment at inflammatory sites.
Optimal parallel all-nearest-neighbors using the well-separated pair decomposition

We present an optimal parallel algorithm to construct the well-separated pair decomposition of a point set P in R/sup d/. We show how this leads to a deterministic optimal O(log n) time parallel algorithm for finding the k nearest neighbors of each point in P, where k is a constant. We discuss several additional applications of the well-separated pair decomposition for which we can derive faster parallel algorithms. <<ETX>>