Miracle-dz/UniFAR-FTUs huggingface dataset:
Childhood Adversity, Deployment-Related Stress, and Mental Health in the Canadian Armed Forces

Background: For decades, researchers have been striving to better understand the complex mix of factors underlying post-combat mental illness, in the hope of enabling better outcomes for military personnel. This study focuses on investigating the behavior and possible interaction of two risk factors for poor mental health post-deployment to a combat mission: adverse childhood experience (ACE) and deployment-related stressful experience (DRSE). Methods: A longitudinal dataset linking data from 3302 military personnel at recruitment to data collected post-deployment to Canada’s mission in Afghanistan was analysed, using novel scoring systems for exposure classification. Results: Significant ACE-DRSE interaction terms were found in relation to SF-36 MCS, depression and suicidal ideation: the negative effect DRSE had on mental health outcomes was amplified as ACE levels increased. Conclusion: Individuals with a history of childhood adversity are more susceptible to the negative mental health impacts of stressful experiences during deployment to a combat zone.
Exploratory Factor Analysis: The Significance of Trust in a Revised Principal Academic Optimism Scale

Principal Academic Optimism is an hypothesized latent construct that has strong theoretical foundations in both educational research and educational psychology. Academic Optimism derives from research on school academic optimism and teacher academic optimism, which originated via Hoy’s, Tarter’s, and Woolfolk Hoy’s (2006a; 2006b) merger of school climate research with research on learned optimism, stemming from Martin Seligman’s (1998, 2006) research on positive psychology. Principal Academic Optimism expands upon discoveries of School Academic Optimism and Teacher Academic Optimism. The theoretical framework of Principal Academic Optimism is built upon a strong research foundation of the organizational health model, social capital theory, social cognitive theory and positive psychology. The purpose of this research is to revise Riegel’s (2012) Principal Academic Optimism Scale, thereby creating and testing a comprehensive measure of Principal Academic Optimism. The questionnaire used to accomplish this goal was a revised version of Riegel’s Principal Academic Optimism Scale and Tschannen-Moran’s and Gareis’s (2004) Principal Trust Scale. By incorporating a measure for principal trust in faculty with a measure of principal trust in clients (parents and students), a more comprehensive measure of Principal Academic Optimism was validated and found reliable (α = 0.908). Perhaps the most compelling finding of the study was the significant negative relationship between principals' perception of trust in clients whose schools have high percentages of students receiving free and reduced price lunches (r = -0.444; p < 0.05). Principals with high percentages of free and reduced price lunch rates explained 72.203% of the variance in principals’ self-reported perception of trust in clients. Principals of schools with 61%-80% or 81%+ percentages of free and reduced price lunch rates reported lower levels of trust in clients (parents and students).
Roof Maintenance Record Analysis Toward Proactive Maintenance Policies

Roof problems, especially roof leaks, not only disrupt building operations, but can also contribute to the occurrence of severe internal Indoor Air Quality (IAQ) problems (Oliver 1997; Rivin 2001; Haverinen, Vahteristo et al. 2003). One of the well-accepted causes of roof leaks is the lack of roof maintenance (Lounis, Vanier et al. 1998a). The out-of-sight, out-of-mind nature of a roof’s location, misjudgment regarding roof warrantees, and a lack of relevant roof maintenance information are typical reasons. The goal of this paper is to provide facility managers with critical information and proposes the move towards proactive roof maintenance. The findings give building owners a holistic view of a required roof maintenance methodology and a rationale to establish a proactive roof maintenance strategy.
DEMONSTRATION OF MOUSE ISOANTIGENS AT THE CELLULAR LEVEL BY THE FLUORESCENT ANTIBODY TECHNIQUE

The fluorescent antibody technique has been applied for the demonstration of mouse isoantigens at the cellular level. Specific reactions were obtained by the indirect or "sandwich" technique with a variety of living normal and neoplastic cells. Isoantigens of the H-2 system and of other systems could be demonstrated as well and appeared to be localized at the cell membrane. As far as the H-2 system was concerned, the membrane localization could be confirmed on histological sections. Different types of non-specific staining reactions have been identified and described. Pinocytosis and cell injury led to such reactions that were morphologically distinguishable from the specific "ring" reaction and as far as pinocytosis is concerned, could be easily avoided by reducing the incubation time. In addition, a non-specific staining reaction morphologically indistinguishable from the specific "ring" reaction could be seen in a small proportion of bone marrow and lymph node cells but in no other cell type studied. The possible nature of this reaction is discussed.
Food pattern and nutritional status of children with cerebral palsy

OBJECTIVES To assess the food intake pattern and the nutritional status of children with cerebral palsy. METHODS Cross-sectional study with 90 children from two to 12.8 years with cerebral palsy in the following forms: hemiplegia, diplegia, and tetraplegia. Nutritional status was assessed by weight, height, and age data. Food intake was verified by the 24-hour recall and food frequency questionnaire. The ability to chew and/or swallowing, intestinal habits, and physical activity were also evaluated. RESULTS For 2-3 year-old age group, the mean energy intake followed the recommended range; in 4-6 year-old age group with hemiplegia and tetraplegia, energy intake was below the recommended limits. All children presented low intake of carbohydrates, adequate intake of proteins and high intake of lipids. The tetraplegia group had a higher prevalence of chewing (41%) and swallowing (12.8%) difficulties compared to 14.5 and 6.6% of children with hemiplegia, respectively. Most children of all groups had a daily intestinal habit. All children presented mild physical activity, while moderate activity was not practiced by any child of the tetraplegia group, which had a significantly lower height/age Z score than those with hemiplegia (-2.14 versus -1.05; p=0.003). CONCLUSIONS The children with cerebral palsy presented inadequate dietary pattern and impaired nutritional status, with special compromise of height. Tetraplegia imposes difficulties regarding chewing/swallowing and moderate physical activity practice.
AutoInSpec: Using Missing Test Coverage to Improve Specifications in GUIs

Developers of a software's graphical user interface (GUI) often fail to document the interface specifications. Without these, models used for automated test generation and execution remain imperfect and incomplete. This leads to unexpected behavior that creates unrecoverable situations for test harnesses, and missed coverage. In this paper, we present AutoInSpec, a technique to infer an important class of specifications, temporal and state-based invariants between GUI events that have been incorrectly modeled. Unlike existing specification mining approaches that require full execution traces, or source code, and that mine all invariants, we simplify the problem. We guide AutoInSpec with coverage criteria and use a previously developed repair framework that builds coverage-adequate test suites, removing unexecutable sub-sequences from consideration. These failing sub-sequences are input to a logic-based inference engine, armed with known invariant templates, to obtain the missing specifications. We validate AutoInSpec on a set of well studied GUI applications.
Procedural Fairness, Public Service Motives, and Employee Work Outcomes: Evidence From Pakistani Public Service Organizations

Studies in public administration hypothesize the direct effect of public service motivation (PSM) on employee attitudes and behavior. We examine the relationship between public employees’ perceptions of procedural fairness on job satisfaction and organizational commitment, and propose the moderating effect of PSM dimensions on the aforementioned relationships. Using a sample of 232 respondents drawn from multiple public service organizations, our findings indicate a positive relationship between procedural fairness perceptions and employee work outcomes (job satisfaction and organizational commitment). PSM dimensions of attraction to policy making (rational motive) and public interest (normative motive) moderate the relationship between procedural fairness and employee outcomes. However, their effect was significant only for individuals who experienced low levels of these motivations. The moderating effect of compassion (affective motive) was significant for individuals possessing high level of compassion. The implications and future research directions are discussed.
Information asymmetry in the digital economy

Information asymmetry is a problem that prevents communication processes to be effective in the digital economy. In this paper, we propose a model for understanding information asymmetry. Our analyses are conducted using the newspaper industry, the healthcare sector, and the stock exchange market. These analyses are examined using theories of communication processes in which two or more actors are necessary to engage in activities of information exchange. The study of these three examples resulted in the identification of four information exchange patterns: influenced, intentional, hindered, and unawares. Furthermore, we discuss implications of the model for information exchange in practice. The paper concludes by challenging sustainability in the digital economy, which remains problematic and difficult to achieve.
Suicide – Dying for a higher purpose? A study of the motives of the Islamic female suicide bombers through Emile Durkheim’s structural view on suicide

There have been several accounts of suicide attacks in the last few years; and although male attackers outnumber female attackers, the number of female suicide bombers has been on the rise. This thesis analyzes the motivation of Muslim female suicide bombers using Durkheim’s theory on suicide and society. Interviews with experts on suicide and radicalization were conducted to provide a perspective that enriches the literature review and the statistical analysis. Drawing on Durkheim’s theory on suicide I argue that radical Muslims view perceived pious femininity as less important than martyrdom and therefore have a different set of norms for women than men.
Photometric and dynamic evolution of an isolated disc galaxy simulation

We present a detailed analysis of the evolution of a simulated isolated disc galaxy. The simulation includes stars, gas, star formation and simple chemical yields. Stellar particles are split in two populations: the old one is present at the beginning of the simulation and is calibrated according to various ages and metallicities; the new population is born in the course of the simulation and inherits the metallicity of the gas particles. The result has been calibrated in four wavebands with the spectrophotometric evolutionary model GISSEL2000 (Bruzual & Charlot 1993). Dust extinction has also been taken into account. A rest-frame morphological and bidimensional photometric analysis has been performed on simulated images, with the same tools as for observations. The effects of the stellar bar formation and the linked star formation episode on the global properties of the galaxy (mass and luminosity distribution, colours, isophotal radii) have been analysed. In particular, we have disentangled the effects of stellar evolution from dynamic evolution to explain the cause of the isophotal radii variations. We show that the dynamic properties (e.g. mass) of the area enclosed by any isophotal radius depends on the waveband and on the level of star formation activity. It is also shown that the bar isophotes remain thinner than mass isodensities a long time (>0.7 Gyr) after the maximum of star formation rate. We show that bar ellipticity is very wavelength dependent as suggested by real observations. Effects of dust extinction on photometric and morphological measurements are systematically quantified. For instance, it is shown that, when the star formation rate is maximum, no more than 20% of the B band luminosity can escape from the bar region whereas, without dust extinction, bar B band luminosity accounts for 80% of the total B band luminosity. Moreover, the extinction is not uniformly distributed inside the bar.
Genetic variation in the cholesterol transporter NPC1L1, ischaemic vascular disease, and gallstone disease.

AIMS Ezetimibe reduces plasma levels of low-density lipoprotein (LDL) cholesterol by inhibiting Niemann-Pick C1-Like protein 1 (NPC1L1), the transporter responsible for cholesterol uptake from the intestine into enterocytes and from the bile into hepatocytes. We tested the hypothesis that genetic variation in NPC1L1, mimicking the effect of ezetimibe, was associated with reduced risk of ischaemic vascular disease (IVD) and with increased risk of symptomatic gallstone disease. METHODS AND RESULTS We included 67 385 individuals from the general population. Of these, 5255 and 3886 individuals developed IVD or symptomatic gallstone disease, respectively, during follow-up from 1977 to 2013. We genotyped four common NPC1L1 variants, previously associated with reduced LDL cholesterol levels, thus mimicking the effect of ezetimibe, and calculated a weighted genotype score. With increasing genotype score, LDL cholesterol decreased stepwise up to 3.5% (0.12 mmol/L) and total cholesterol up to 1.9% (0.11 mmol/L) (P-trend: 2 × 10(-12) and 2 × 10(-9)). The cumulative incidence by age of IVD decreased, while that of symptomatic gallstone disease increased as a function of increasing genotype score (P-trend: 0.005 and 0.01). Hazard ratios for genotype scores ≥ 5.0 vs. <2.0 were 0.82 (95% confidence interval: 0.70-0.95) for IVD and 1.22 (0.99-1.49) for gallstone disease (P-trend across genotype scores: 0.004 and 0.01). CONCLUSION Genetic variation in NPC1L1 is associated with a reduction in risk of IVD, with a corresponding reduction in LDL cholesterol, but with a concomitant increased risk of gallstone disease. These data support the hypothesis that treatment with ezetimibe protects against IVD but raise the question whether long-term treatment increases the risk of gallstone disease.
Near-Infrared Photometric Survey of Proto-Planetary Nebula Candidates

We present JHK′ photometric measurements of 78 objects mostly consisting of proto–planetary nebula candidates. Photometric magnitudes are determined by means of imaging and aperture photometry. Unlike the observations with a photometer with a fixed-sized beam, the method of imaging photometry permits accurate derivation of photometric values, because the target sources can be correctly identified and confusion with neighboring sources can be easily avoided. Of the 78 sources observed, we report nearly 10 cases in which the source seems to have been misidentified or confused by nearby bright sources. We also present nearly two dozen cases in which the source seems to have indicated a variability that prompts a follow-up monitoring. There are also a few sources that show previously unreported extendedness. In addition, we present H-band finding charts of the target sources.
From the Selectedworks of Nader Ale Ebrahim Virtual Environments Innovation and R&d Activities: Management Challenges Virtual Environments Innovation and R&d Activities: Management Challenges

Companies will not survive long unless they join a threefold revolution in management itself, innovation, and information technology. Innovation plays a central role in economic development, at regional and national level. In the competitive environment companies are obliged to produce more rapidly, more effectively and more efficiently in new product development which is a result of research and development (R&D) activities. It is necessary for them to put together different capabilities and services with the goal, through cooperation between suppliers and customers, service providers and scientific institutions to achieve innovations of high quality. Depending on the type of industry, the type of business, the type of innovation and the strategic objectives that have been set, firms will regularly have to modify the way in which their R&D and innovation is organized and how information technology should managed. Nowadays shift from serial to simultaneous and parallel working in innovation has become more commonplace. Literatures have shown that collaboration is as a meta-capability for innovation. This article after define a virtual teams and its characteristics, addressing virtual environments innovation and the relationship to R&D activities. Finally conclude that managers of company should invest less in tangible assets, but more in R&D and virtual team to generate knowledge, and in their employees' creativity to stimulate incremental innovations in already existing technologies that will directly generate their future competitive advantage
Novel Cost-Sensitive Approach to Improve the Multilayer Perceptron Performance on Imbalanced Data

Traditional learning algorithms applied to complex and highly imbalanced training sets may not give satisfactory results when distinguishing between examples of the classes. The tendency is to yield classification models that are biased towards the overrepresented (majority) class. This paper investigates this class imbalance problem in the context of multilayer perceptron (MLP) neural networks. The consequences of the equal cost (loss) assumption on imbalanced data are formally discussed from a statistical learning theory point of view. A new cost-sensitive algorithm (CSMLP) is presented to improve the discrimination ability of (two-class) MLPs. The CSMLP formulation is based on a joint objective function that uses a single cost parameter to distinguish the importance of class errors. The learning rule extends the Levenberg-Marquadt's rule, ensuring the computational efficiency of the algorithm. In addition, it is theoretically demonstrated that the incorporation of prior information via the cost parameter may lead to balanced decision boundaries in the feature space. Based on the statistical analysis of results on real data, our approach shows a significant improvement of the area under the receiver operating characteristic curve and G-mean measures of regular MLPs.
Depletion of Saccharomyces cerevisiae tRNAHis Guanylyltransferase Thg1p Leads to Uncharged tRNAHis with Additional m5C

ABSTRACT The essential Saccharomyces cerevisiae tRNAHis guanylyltransferase (Thg1p) is responsible for the unusual G−1 addition to the 5′ end of cytoplasmic tRNAHis. We report here that tRNAHis from Thg1p-depleted cells is uncharged, although histidyl tRNA synthetase is active and the 3′ end of the tRNA is intact, suggesting that G−1 is a critical determinant for aminoacylation of tRNAHis in vivo. Thg1p depletion leads to activation of the GCN4 pathway, most, but not all, of which is Gcn2p dependent, and to the accumulation of tRNAHis in the nucleus. Surprisingly, tRNAHis in Thg1p-depleted cells accumulates additional m5C modifications, which are delayed relative to the loss of G−1 and aminoacylation. The additional modification is likely due to tRNA m5C methyltransferase Trm4p. We developed a new method to map m5C residues in RNA and localized the additional m5C to positions 48 and 50. This is the first documented example of the accumulation of additional modifications in a eukaryotic tRNA species.
Comparison of the CMAM30 data set with ACE-FTS and OSIRIS: polar regions

Abstract. CMAM30 is a 30-year data set extending from 1979 to 2010 that is generated using a version of the Canadian Middle Atmosphere Model (CMAM) in which the winds and temperatures are relaxed to the Interim Reanalysis product from the European Centre for Medium-Range Weather Forecasts (ERA-Interim). The data set has dynamical fields that are very close to the reanalysis below 1 hPa and chemical tracers that are self-consistent with respect to the model winds and temperature. The chemical tracers are expected to be close to actual observations. The data set is here compared to two satellite records – the Atmospheric Chemistry Experiment Fourier transform spectrometer and the Odin Optical Spectrograph and Infrared Imaging System – for the purpose of validating the temperature, ozone, water vapour and methane fields. Data from the Aura microwave limb sounder are also used for validation of the chemical processing in the polar vortex. It is found that the CMAM30 temperature is warmer by up to 5 K in the stratosphere, with a low bias in the mesosphere of ~ 5–15 K. Ozone is reasonable (±15 %), except near the tropopause globally and in the Southern Hemisphere winter polar vortex. Water vapour is consistently low by 10–20 %, with corresponding high methane of 10–20 %, except in the Southern Hemisphere polar vortex. Discrepancies in this region are shown to stem from the treatment of polar stratospheric cloud formation in the model.
Enhancing Intrusion Detection System (IDS) by Using Honeybee Concepts and Framework

Intrusion Detection System has been studied for more than ten years. Though Artificial Intelligence (AI) techniques have been integrated to improve IDS but the success is still far from satisfaction. Thus, we believe a new strategy to improve IDS is badly needed. One of the solutions is by imitating the honeybee colony that can successfully protect their colony. In fact, the honeybee colony system and problems are quite similar with network system, and the way the bees protecting their colony can also be considered similar with the IDS in the network system. In this paper, we investigated the honeybee colony system as well as their detection system to get improvement methods for IDS engine in order to enhance IDS system for a better network defense. The adaptation of the honeybee protection and defense system itself is a new knowledge that can help other systems such as antivirus, antimalware, or even defense system to imitate the AI techniques in performing their functions. We train the proposed system with different types of attacks data and model different types of attack signatures. The performance of the proposed IDS is evaluated using NSL-KDD data set. The experiments show that the performance of the proposed model can detect novel intrusions and reduce false alarms.