Miracle-dz/UniFAR-FTUs huggingface dataset:
The relationship between training satisfaction, organisational citizenship behaviour, and turnover intention: A PLS-SEM approach

Purpose The purpose of this paper is to explore the role of training satisfaction as a predictor of organisational citizenship behaviour (OCB) and turnover intention. The study further examines the mediating role of OCB between training satisfaction and turnover intention. Design/methodology/approach Data were collected from 409 Malaysian oil and gas (O&G) sector employees. Partial least squares structural equation modelling (PLS-SEM) was used to test the hypotheses in the research model using SmartPLS 3.0. Findings This study highlights the significant positive impact of training satisfaction on OCB and the negative effect on turnover intention. Contrary to expectations, OCB proved to be neither a predictor of turnover intention nor a mediator in the model. Practical implications Although the main aim of this study was to test the theoretically driven hypotheses, the findings have a number of valuable implications for organisations. This study suggests that O&G organisations should focus on increasing employee satisfaction with training to maximise desired workplace attitudes and behaviours. Originality/value This is the first study to explore the causal links between training satisfaction, OCB and turnover intention. Although it has been observed in the past that training does not directly influence turnover intention, the present study indicates that training satisfaction significantly influences turnover intention. Further, this study unexpectedly found no direct relationship between OCB and turnover intention. Also, OCB was not a significant mediator in the present study. These unexpected findings open new avenues for future research, thus representing an important contribution of the present study.
Ontology Engineering beyond the Modeling of Concepts and Relations

This papers presents a new approach for modeling large-scale ontologies. We extend well-established methods for modeling concepts and relations by transportable methods for modeling ontological axioms. The gist of our approach lies in the way we treat the majority of axioms. They are categorized into different types and specified as complex objects that refer to concepts and relations. Considering language and system particularities, this first layer of representation is then translated into the target representation language. This two-layer approach benefits engineering, because the intended meaning of axioms is captured by the categorization of axioms. Classified object representations allow for versatile access to and manipulations of axioms via graphical user interfaces.
On the survey-propagation equations for the random K-satisfiability problem

In this note we study the existence of a solution to the survey-propagation equations for the random K-satisfiability problem for a given instance. We conjecture that when the number of variables goes to infinity, the solution of these equations for a given instance can be approximated by the solution of the corresponding equations on an infinite tree. We conjecture (and we bring numerical evidence) that the survey-propagation equations on the infinite tree have an unique solution in the suitable range of parameters.
Improving State-Based Coverage Criteria Using Data Flow Information

Empirical evaluations have revealed limitations of existing state-based coverage criteria. As these criteria can be considered as executing the control flow structure of the statechart, we are attempting to investigate how data flow information can be used to improve these criteria. This report presents a comprehensive methodology to perform data flow analysis of UML statecharts, applies it to the round-trip path (transition tree) coverage criterion and reports on two case studies. The results of the case studies show that data flow information can be used to select the best transition tree when more than one satisfies the transition tree criterion. We further propose a more optimal strategy for the transition tree criterion, in terms of cost and effectiveness. The improved tree strategy is evaluated through the two case studies and the results suggest that it is a cost-effective strategy that would fit into many practical situations.
Loss of enterocyte mass is accompanied by diminished turnover of enterocytes after myeloablative therapy in haematopoietic stem-cell transplant recipients.

BACKGROUND Intestinal mucosal barrier injury (MBI), resulting from myeloablative conditioning for haematopoietic stem-cell transplantation (HSCT), is an important cause of morbidity. Despite its frequency, recognition presents a challenge, while the aetiology needs still to be unravelled. The relationship between enterocyte mass and enterocyte loss was explored by examining citrulline serum levels and by assessing circulating intestinal fatty acid-binding protein (I-FABP) and ileal bile acid-binding protein (I-BABP), proteins released by dying mature enterocytes. PATIENTS AND METHODS Thirty-four adult patients with haematological malignancy received allogeneic HSCT (HSCT day 0) 12 days after being given idarubicin, cyclophosphamide and total body irradiation as myeloablative conditioning, a regimen known to induce oral and intestinal MBI. Serum levels of citrulline, I-FABP and I-BABP were measured on HSCT days -12, -6, 0, +7, +14 and +21. RESULTS Myeloablative conditioning resulted in a significant decrease in serum citrulline with the nadir on HSCT day +7; thereafter, levels rose gradually. Simultaneously, a significant decrease in I-FABP and I-BABP levels occurred from the day of transplant until day +14. CONCLUSIONS Simultaneous reduction and subsequent increase of citrulline and I-FABP and I-BABP levels following cytotoxic treatment show that enterocyte mass corresponds to lower rate of dying enterocytes, indicating reduced turnover of enterocytes. Assessment of enterocyte turnover and mass offers opportunities for evaluation of new MBI therapies.
Sparse Penalty in Deep Belief Networks: Using the Mixed Norm Constraint

Deep Belief Networks (DBN) have been successfully applied on popular machine learning tasks. Specifically, when applied on hand-written digit recognition, DBNs have achieved approximate accuracy rates of 98.8%. In an effort to optimize the data representation achieved by the DBN and maximize their descriptive power, recent advances have focused on inducing sparse constraints at each layer of the DBN. In this paper we present a theoretical approach for sparse constraints in the DBN using the mixed norm for both non-overlapping and overlapping groups. We explore how these constraints affect the classification accuracy for digit recognition in three different datasets (MNIST, USPS, RIMES) and provide initial estimations of their usefulness by altering different parameters such as the group size and overlap percentage.
Chiral phase transition and instanton-anti-instanton molecules.

In this paper we explore the idea that the chiral phase transition in QCD can be described as a transition from a disordered instanton liquid to a strongly correlated phase of polarized instanton--anti-instanton molecules. We calculate the degree of polarization of the molecules as a function of the temperature and show that the resulting [ital T] dependence of the fermion determinant drives the chiral phase transition. We also show how the polarization of the molecules can lead to a nontrivial behavior of the energy density and pressure. Finally, we study the effect of the presence of molecules on the propagation of quarks at [ital T][similar to][ital T][sub [ital c]]. We derive the corresponding effective interaction and find that the strength in the scalar-pseudoscalar channel is four times the strength in the vector--axial-vector channel which agrees with recent lattice QCD simulations. We give results for the quark condensates as well as mesonic and baryonic correlation functions and find that the screening masses'' of chiral partners become equal for [ital T][gt][ital T][sub [ital c]], where we still observe substantial attraction in the scalar-pseudoscalar meson channels.
A Measurement Study of Attacks on BitTorrent Seeds

We study a natural and potentially devastating attack against BitTorrent, namely, attacking the initial seed in a torrent's early stages. The goal of this attack is to diminish the seed's ability to upload blocks. If the attacker can discover and react quickly enough to the new torrent, it can possibly "nip the torrent in its bud," preventing all of the leechers from obtaining the entire file. We consider two natural seed attacks: the bandwidth attack and the connection attack. We take a three-prong approach to analyze these attacks. First, we actually launch and measure the attacks using popular BitTorrent seeds (Azureus, uTorrent, and BitTornado). To this end, because we do not want to interfere with torrents in the wild, we have created our own private torrents within PlanetLab. Second, to gain insight into our empirical results, we carefully analyze the connection management and seeding algorithms in open-source BitTorrent seeds. Third, we construct a simple fluid model which provides additional insights into the empirical results. We have discovered that the three BitTorrent seeds investigated are quite resilient to such an attack. The observations and conclusions in this paper can help P2P developers design highly-resilient P2P systems.
Are Caste Categories Misleading? The Relationship between Gender and Jati in Three Indian States

Indian society is highly stratified and hierarchical. Caste, class, and gender all contribute to an individual’s status. A large body of literature explores the importance of each of these. This chapter examines the relationship between caste and gender inequality in three states in India. When households are grouped using conventional, government-defined categories of caste, we find patterns that are consistent with existing literature: lower-caste women are more likely to participate in the labour market, have greater decision making autonomy within their households, and experience greater freedom of movement. When households are grouped by the narrower sub-caste categories of jati, where caste is lived and experienced, we find the relationships are far more varied and nuanced. These results suggest that focusing on broad caste categories such as ‘scheduled castes’ and ‘scheduled tribes’ can be misleading for understanding the relationship between caste and gender.
Improving intranasal delivery of neurological nanomedicine to the olfactory region using magnetophoretic guidance of microsphere carriers

Background Although direct nose-to-brain drug delivery has multiple advantages, its application is limited by the extremely low delivery efficiency (<1%) to the olfactory region where drugs can enter the brain. It is crucial to developing new methods that can deliver drug particles more effectively to the olfactory region. Materials and methods We introduced a delivery method that used magnetophoresis to improve olfactory delivery efficiency. The performance of the proposed method was assessed numerically in an image-based human nose model. Influences of the magnet layout, magnet strength, drug-release position, and particle diameter on the olfactory dosage were examined. Results and discussion Results showed that particle diameter was a critical factor in controlling the motion of nasally inhaled ferromagnetic drug particles. The optimal particle size was found to be approximately 15 μm for effective magnetophoretic guidance while avoiding loss of particles to the walls in the anterior nose. Olfactory delivery efficiency was shown to be sensitive to the position and strength of magnets and the release position of drug particles. The results of this study showed that clinically significant olfactory doses (up to 45%) were feasible using the optimal combination of magnet layout, selective drug release, and microsphere-carrier diameter. A 64-fold-higher delivery of dosage was predicted in the magnetized nose compared to the control case, which did not have a magnetic field. However, the sensitivity of olfactory dosage to operating conditions and the unstable nature of magnetophoresis make controlled guidance of nasally inhaled aerosols still highly challenging.
Serum immunoglobulin E (IgE) levels and dietary intake of Korean infants and young children with atopic dermatitis

Atopic dermatitis (AD) has become a serious epidemic in Korean children. We aimed to identify dietary factors associated w/serum total and food allergen‐specific IgEs. A total of 119 children (0–24 mo) diagnosed w/AD were recruited from a medical center, Seoul. For dietary data collection of children and mothers who breastfed for more than one mo after diagnosis of AD, a 24h recall and a semiquantative FFQ were used. Serum total and six allergen‐specific IgEs (spe‐IgE) measured by CAP‐FEIA. Multiple linear regression was performed to estimate the coefficients b/w IgEs and dietary intake. Total IgEs were associated positively w/CHO and ω‐6/ω‐3 ratio; inversely with energy intake (p<0.05). Positive associations were found b/w CHO intake and specific IgEs to egg white, milk and soy (p<0.05); vit E and spe‐IgE to milk and wheat; ω‐6/ω‐3 ratio and spe‐IgEs to milk, wheat, buck wheat and soy (p<0.05). Fat intake was inversely related w/spe‐IgEs to egg white and milk (p<0.01). Inversely associated w/maternal dietary intake during lactation was fat w/all spe‐IgEs (p<0.05); vit E w/spe‐IgEs to milk, wheat, soy and peanut; ω‐6 fatty acid w/spe‐IgE to milk (p<0.05). Evidences from our study seem to suggest that ω‐3 intake, not vit E, may possibly lower total and spe‐IgEs in infants and children w/AD. This work was supported by the Korea Research Foundation Grant funded by the Korean Government (MOEHRD) (KRF‐2007‐331‐C00281).
Resource Management of Manycores with a Hierarchical and a Hybrid Main Memory for MN-MATE Cloud Node

The advent of manycore in computing architecture causes severe energy consumption and memory wall problem. Emerging technologies such as on-chip DRAM and nonvolatile memory (NVRAM) receive attention as promising solutions for them. Nonvolatile memory is a viable DRAM replacement, achieving competitive performance at lower power consumption. On-chip DRAM extends the memory bandwidth. The confluence of these trends offers a new opportunity to rethink traditional computing system and memory hierarchies. In an attempt to mitigate the energy and memory wall, we propose MN-MATE, a novel architecture and management techniques for resource allocation of a number of cores, onchip DRAM, and large size of off-chip DRAM and NVRAM. In MN-MATE, each guest OS utilizes cores and various memories allocated by the hypervisor. Based on the knowledge about the allocated resources, a guest OS co-schedules tasks accessing different types of memory with complementary access intensity. Memory management system of the OS utilizes on-chip DRAM as a part of main memory having low latency. It also selects proper location of data from the three types of memory based on the data's access characteristics. Preliminary experimental results show that these techniques with the new architecture improve system performance and reduce energy consumption.
Mating Damages the Cuticle of C. elegans Hermaphrodites

Lifespan costs to reproduction are common across multiple species, and such costs could potentially arise through a number of mechanisms. In the nematode Caenorhabditis elegans, it has been suggested that part of the lifespan cost to hermaphrodites from mating results from physical damage owing to the act of copulation itself. Here, we examine whether mating damages the surface of the hermaphrodite cuticle via scanning electron microscopy. It is found that mated hermaphrodites suffered delamination of cuticle layers surrounding the vulva, and that the incidence of such damage depends on genetic background. Unmated hermaphrodites demonstrated almost no such damage, even when cultured in soil with potentially abrasive particles. Thus, a consequence of mating for C. elegans hermaphrodites is physical cuticle damage. These experiments did not assess the consequences of cuticle damage for lifespan, and the biological significance of this damage remains unclear. We further discuss our results within the context of recent studies linking the lifespan cost to mating in C. elegans hermaphrodites to male secretions.
Intuition, affect, and personality: unconscious coherence judgments and self-regulation of negative affect.

According to personality systems interaction theory, a negative mood was expected to reduce access to extended semantic networks and to reduce performance on intuitive judgments of coherence for participants who have an impaired ability to down-regulate negative affect (i.e., state-oriented participants). Consistent with expectations, state-oriented participants reporting higher levels of perseverating negative mood had a reduced discrimination between coherent and incoherent standard word triples (Study 1) and individually derived word triples describing persons (Study 2). Participants who are able to down-regulate negative affect (i.e., action-oriented participants) did not show this tendency. In addition, Study 2 revealed a dissociation between state orientation and Neuroticism that is discussed in terms of a functional difference between the two constructs.
Automated Concept Extraction From Plain Text

We describe a system for extracting concepts from unstructured text. We do this by identifying relationships between words in the text based on a lexical database and identifying groups of these words which form closely tied conceptual groups. The word relationships are used to create a directed graph, called a Semantic Relationship Graph (SRG). This SRG a robust representation of the relationships between word senses which can be used to identify the individual concepts which occur in the text. We demonstrate the usefulness of this technique by creating a classifier based on SRGs which is considerably more accurate than a Naive Bayes text classifier.
Using solar shadow trajectories for camera calibration

In this paper we show that solar shadow trajectories can be used for a robust camera calibration. Expanding on the previous work on calibration from solar shadows, we relax the condition that the shadow casting object be visible in the image. This enables us to work with shadows of non-vertical objects as well. The important observation that we make in this work is that these shadow trajectories form an interesting geometry on the ground plane. Using properties of these cast shadows, the horizon line (or the line at infinity) of the ground plane is robustly estimated. This leads to pole-polar constraints on the image of the absolute conic (IAC), which we decompose for estimating the camera parameters. We show that our method performs well in presence of large noise. We perform experiments with synthetic data and real data captured from live webcams, demonstrating encouraging results.
A Secure Base: Clinical Applications of Attachment Theory. By John Bowlby. London: Routledge. 1988. 180 pp. £8.95 (pb).

These books are additions to the Sage series titled â€ ̃¿ Deve lopmental Clinical Psychology and Psychiatry', the aim of which is to present the latest research developments. Both books are transatlantic in language and style and are expensive for their size. The first book commences with a history ofinterest in the prevention of child maladjustment in the USA. There is an emphasis on the relevance of social policy and the rights of children, with a final chapter on child advocacy. A wide range of â€ ̃¿ maladjustments' are covered, from the consequences of being abused to the development of schizophrenia. Theories of prevention as well as accountsof a number of programmesare presented. Despite the large field that the authors have addressed, they have produced an informative and read able introduction to the subject. Trainees in psychiatry and all those interested in child welfare would benefit from reading this book. In the second book, Achenbach and McConaughy describe an empirical approach to assessment and its practical applications. Two useful chapters present ideas and findings relevant to assessment, for example the concept of a prototype and the poor correlations between informants. The use of the term â€ ̃¿ multiaxial' for their method of assessment is confusing, because what is emphasised is the use of multiple informants. Addition ally, the advocated five axes bear only a minimal re lationship to those employed in the pentaxial system commonly used by British psychiatrists. Case histories are visually clarified by syndrome profiles based on the checklists and report forms developd by the authors. By looking at a proffle, a child's score on each syndrome can be easily seen in relation to the normal range. For someone developing an interest in research this book could be useful.
Entanglement and topological entropy of the toric code at finite temperature

We calculate exactly the von Neumann and topological entropies of the toric code as a function of system size and temperature. We do so for systems with infinite energy scale separation between magnetic and electric excitations, so that the magnetic closed loop structure is fully preserved while the electric loop structure is tampered with by thermally excited electric charges. We find that the entanglement entropy is a singular function of temperature and system size, and that the limit of zero temperature and the limit of infinite system size do not commute. The two orders of limit differ by a term that does not depend on the size of the boundary between the partitions of the system, but instead depends on the topology of the bipartition. From the entanglement entropy we obtain the topological entropy, which is shown to drop to half its zero-temperature value for any infinitesimal temperature in the thermodynamic limit, and remains constant as the temperature is further increased. Such discontinuous behavior is replaced by a smooth decreasing function in finite-size systems. If the separation of energy scales in the system is large but finite, we argue that our results hold at small enough temperature and finite systemmore » size, and a second drop in the topological entropy should occur as the temperature is raised so as to disrupt the magnetic loop structure by allowing the appearance of free magnetic charges. We discuss the scaling of these entropies as a function of system size, and how the quantum topological entropy is shaved off in this two-step process as a function of temperature and system size. We interpret our results as an indication that the underlying magnetic and electric closed loop structures contribute equally to the topological entropy (and therefore to the topological order) in the system. Since each loop structure per se is a classical object, we interpret the quantum topological order in our system as arising from the ability of the two structures to be superimposed and appear simultaneously. « less