Miracle-dz/UniFAR-FTUs huggingface dataset:
I'm Leaving the IT Field: the Impact of Stress, Job Insecurity, and Burnout on IT Professionals

The information technology field has highly fluid, rapidly-evolving workforce requirements. The nature of the profession creates unique challenges and strains for IT workers. As a result, many IT professionals leave the field and seek alternative careers. The purpose of this research is to provide an empirical basis for understanding the determinants of career change. A theoretical model was developed and tested. Stress, job insecurity, and burnout are included as antecedents of intention to leave the IT field. This model was evaluated using data from a survey of IT professionals within a public-service organization. Data was analyzed using structural equation modeling. The determinants were all confirmed, although age was not found to moderate any of the relationships. In total, the constructs accounted for 32.9% of the variance in intention to leave the IT field. The theoretical implications of this study are discussed. Recommendations for decreasing workrelated stress, job security, and burnout are proposed.
Affinity and dose of TCR engagement yield proportional enhancer and gene activity in CD4+ T cells

Affinity and dose of T cell receptor (TCR) interaction with antigens govern the magnitude of CD4+ T cell responses, but questions remain regarding the quantitative translation of TCR engagement into downstream signals. We find that while the response of mouse CD4+ T cells to antigenic stimulation is bimodal, activated cells exhibit analog responses proportional to signal strength. Gene expression output reflects TCR signal strength, providing a signature of T cell activation. Expression changes rely on a pre-established enhancer landscape and quantitative acetylation at AP-1 binding sites. Finally, we show that graded expression of activation genes depends on ERK pathway activation, suggesting that an ERK-AP-1 axis plays an important role in translating TCR signal strength into proportional activation of enhancers and genes essential for T cell function. DOI: http://dx.doi. org/10.7554/eLife.10134. 001
Distribution and susceptibility to amphotericin B and fluconazole of Candida spp. isolated from Taiwan

Susceptibilities to amphotericin B and fluconazole of 628 clinical yeast strains collected from 22 hospitals in Taiwan were determined. A total of 53 isolates (8·4%) were resistant to fluconazole. Each hospital had different resistance rate to fluconazole ranging from 0% to 24%. None of the 186 isolates from eight of the 22 hospitals was resistant to fluconazole. In contrast, isolates from nine of the remaining 14 hospitals had greater than 10% resistance rate to fluconazole. Consistently, 88·9% (8/9) fluconazole-resistant C. albicans isolates were from hospitals having a high resistance rate to fluconazole. The prevalence of various Candida spp. in each hospital was different. A positive association was found between the prevalence of C. tropicalis and the resistance rate to fluconazole for individual hospitals. Although only three isolates (0·5%) were resistant to amphotericin B, a co-resistance to both amphotericin B and fluconazole was observed, which highlights the emerging problem of drug resistance.
Water Maser Emission and the Parsec-Scale Jet in NGC 3079

We have conducted VLBI observations at subparsec resolution of water maser and radio continuum emission in the nucleus of the nearby active galaxy NGC 3079. The 22 GHz maser emission arises in compact (~0.01 pc at a distance of 16 Mpc) clumps, distributed over ~2 pc along an axis that is approximately aligned with the major axis of the galactic disk. The Doppler velocities of the water maser clumps are consistent with their lying in the inner parsec of a molecular disk with a binding mass ~106 M☉, rotating in the same sense as the edge-on kiloparsec-scale molecular disk observed in CO emission. However, the velocity field has a significant nonrotational component, which may indicate supersonic turbulence in the disk. This distribution is markedly different from that of water masers in NGC 4258, which trace a nearly perfectly Keplerian rotating disk with a binding mass of 3.5 × 107 M☉. The 22 GHz radio continuum emission in NGC 3079 is dominated by a compact (<0.1 pc) source that is offset 0.5 pc to the west of the brightest maser feature. No bright maser emission is coincident with a detected compact continuum source. This suggests that the large apparent luminosity of the maser is not caused by beamed amplification of high brightness temperature continuum emission. At 8 and 5 GHz, we confirm the presence of two compact continuum sources with a projected separation of 1.5 pc. Both have inverted spectra between 5 and 8 GHz and steep spectra between 8 and 22 GHz. NGC 3079 may be a nearby, low-luminosity example of the class of compact symmetric gigahertz-peaked spectrum radio sources. We detected a third continuum component that lies along the same axis as the other two, strongly suggesting that this galaxy possesses a nuclear jet. Faint maser emission was detected near this axis, which may indicate a second population of masers associated with the jet.
A Normative Study of the Disability Assessment for Dementia in Community-Dwelling Elderly Koreans

Objective We investigated demographic influences on Korean version of Disability Assessment for Dementia (DAD-K) performance and developed normative data for DAD-K. Methods The DAD-K was administered to 2362 normal controls (NCs), 296 patients with mild cognitive impairment (MCI) and 293 patients with Alzheimer's disease (AD). MANOVA and ROC curve analysis were used to compare DAD-K performance and the diagnostic accuracy of DAD-K, respectively. The demographic influence on DAD-K scores was analyzed by multiple linear regression and ANOVA. Normative DAD-K data were calculated using natural logarithmic transformation. Results All DAD-K scores were significantly different among groups (p<0.001). Post hoc analysis showed that instrumental activities of daily living (IADL), executive function and DAD-K total scores began to decline significantly in the very mild stage of AD, whereas the basic activities of daily living (BADL) scores began to decline in the mild stage of AD. The area under the ROC curve differentiating MCI or AD from NC was 0.737 and that differentiating AD from MCI or NC was 0.911. IADL and planning and organization scores were influenced by age and education and performance and DAD-K total scores were influenced by education. Conclusion The demographic influences on DAD-K scores are not conspicuous and are mainly limited to the IADL and planning and organization scores. Unitary or minimally stratified norms for a specific population were developed for DAD-K application. Our results suggest that the DAD-K is useful for differentiating NC or MCI from AD but not as powerful for differentiating NC from MCI.
A Framework for Evaluating Effects of Channel Prediction Inaccuracy on the Performance of Channel Adaptive Techniques

Abstract—Adapting transmission parameters to the future channel state is an appealing approach to improve efficiency in wireless communication. Adaptation requires predicting the channel state. Current channel-adaptive techniques as- sume perfect prediction. In this paper, we claim that neglect- ing the prediction error leads to poor performance results, possibly even worse than without prediction at all. We have developed a simulation framework which allows us to inves- tigate the effects of the prediction error on achieved perfor- mance results (e. g., throughput) independently of the predic- tion algorithm by introducing models for the prediction error. Furthermore, the simulation environment offers flexible in- terfaces which allow to replace components of the simulation model, like traffic generator, prediction model, channel model. To substantiate our claim, we have investigated the perfor- mance of two channel-adaptive schedulers, showing that the prediction error has to be considered.
CLIC: clustering analysis of large microarray datasets with individual dimension-based clustering

Large microarray data sets have recently become common. However, most available clustering methods do not easily handle large microarray data sets due to their very large computational complexity and memory requirements. Furthermore, typical clustering methods construct oversimplified clusters that ignore subtle but meaningful changes in the expression patterns present in large microarray data sets. It is necessary to develop an efficient clustering method that identifies both absolute expression differences and expression profile patterns in different expression levels for large microarray data sets. This study presents CLIC, which meets the requirements of clustering analysis particularly but not limited to large microarray data sets. CLIC is based on a novel concept in which genes are clustered in individual dimensions first and in which the ordinal labels of clusters in each dimension are then used for further full dimension-wide clustering. CLIC enables iterative sub-clustering into more homogeneous groups and the identification of common expression patterns among the genes separated in different groups due to the large difference in the expression levels. In addition, the computation of clustering is parallelized, the number of clusters is automatically detected, and the functional enrichment for each cluster and pattern is provided. CLIC is freely available at http://gexp2.kaist. ac.kr/clic.
How to trick respondents into revealing implicit attitudes – talk to them

Abstract This paper outlines the cognitive processing involved in cases of language regard and shifts the focus from receivers/hearers to producers/speakers. Investigation of the latter by means of established pragmatic and discourse techniques can uncover features of language use (e.g. implicature, presupposition) that just as surely reveal implicit characteristics of a speaker’s beliefs and regard for language and variety as any of the long-standing (e.g. matched guise) or more recently developed (e.g. the IAT) experimental techniques that seek to uncover implicitness in this area.
Comparative Efficacies of Conventional Amphotericin B, Liposomal Amphotericin B (AmBisome), Caspofungin, Micafungin, and Voriconazole Alone and in Combination against Experimental Murine Central Nervous System Aspergillosis

ABSTRACT Central nervous system (CNS) aspergillosis is a severe disease that responds poorly to current therapies. The current studies examined the efficacies of several antifungal agents alone or in combination with a murine model of CNS aspergillosis. Immunosuppressed mice were infected intracerebrally with Aspergillus fumigatus and treated with an amphotericin B preparation, an echinocandin, or voriconazole (VCZ) given alone or in combination. Monotherapy studies showed that micafungin (MICA), caspofungin (CAS), VCZ, conventional amphotericin B (AMB), Abelcet (ABLC) (a lipid-carried AMB formulation; Enzon Pharmaceuticals, Inc.), and AmBisome (AmBi) (liposomal AMB; Gilead Sciences, Inc.) were efficacious. However, doses of AmBi above 15 mg/kg of body weight showed reduced efficacy. Neither MICA nor CAS showed dose responsiveness at the doses tested (1, 5, or 10 mg/kg). Only the 40-mg/kg dose of VCZ was effective. AmBi and ABLC showed dose responsiveness, with 10-mg/kg doses causing a significant reduction in fungal burden; they had equivalent activities at the 10-mg/kg dose. Suboptimal dosages of AmBi in combination with MICA, CAS, or VCZ were effective in prolonging survival. However, significantly enhanced activity was demonstrated only with AmBi and VCZ in combination. AmBi in combination with MICA or CAS showed a trend toward enhanced activity, but the combination was not significantly superior to monotherapy. The use of AmBi with CAS or VCZ at optimal doses did not improve efficacy. Cure was not attained with any dosage combinations. These results indicate that AmBi in combination with VCZ may be superior for treatment of CNS aspergillosis; combinations of AmBi and MICA or CAS were not antagonistic and may have a slight benefit.
Plateau de Bure interferometer observations of the disk and outflow of HH 30

HH30 is a well-known Pre-Main-Sequence star in Taurus. HST observations have revealed a flared, edge-on disk driving a highly-collimated optical jet, making this object a case study for the disk-jet-outflow paradigm. We obtained high angular resolution (about 1") observations of the dust continuum at 2.7 and 1.3 mm, and of the 12CO(2-1), 13CO(2-1) & (1-0), C18O(1-0) emissions around HH30. A standard disk model is used to fit the 13CO(2-1) uv-plane visibilities and derive the disk properties, and the stellar mass. It results that HH30 is a low mass TTauri of spectral type around M1 and age 1 to 4 Myrs, surrounded by a medium size Keplerian disk, of mass around 4e-3 Msun and outer radius 420 AU. The disk rotation vector points toward the North-Eastern jet. Using a distance of 140 pc, we deduce a stellar mass of 0.45 Msun. A highly asymmetric outflow originates from the inner parts of the disk. It presents to first order a conical morphology with a 30 degree half opening angle and a constant (12 km/s) radial velocity field. Outflow rotation was searched for but not found. These observations do not enable to assign the origin of the molecular outflow to entrainment by the optical jet or to a disk wind. In the latter case, the upper limit of the outflow rotation velocity implies an origin in the inner 15 AU of the disk.
Federal Reserve Bank of Philadelphia the Cyclical Behavior of State Employment during the Postwar Period the Cyclical Behavior of State Employment during the Postwar Period

The opinions expressed in this paper are those of the authors and do not necessarily represent those of the Federal Reserve Bank of Philadelphia, the Federal Reserve System, or Villanova University. Abstract This study documents a substantial decline in employment volatility at business-cycle frequencies over the postwar period using state-industry level data. The distribution of total employment volatilities at the state level has become less disperse over time, and mean volatility has fallen. Similar results are obtained using employment data on one-digit sectors across states: all sectors have seen a decline in employment volatility over the postwar period, and state-sectors are more alike in terms of volatility levels. A key source of the decline in volatility appears to be widespread (across states and industries) decreases in the size of shocks hitting employment levels. Shifts in the demographic factors, and industrial structures of state economies have had little or no impact. Neither have interstate employment shifts, such as migrations from the Frostbelt to the Sunbelt. The sources of the smaller employment shocks are unclear, although the evidence points to macroeconomic phenomena.
Dlg protein is required for junction structure, cell polarity, and proliferation control in Drosophila epithelia

The Discs large (Dlg) protein of Drosophila is the prototypic member of a growing family of proteins termed membrane-associated guanylate kinase homologs (MAGUKs). The MAGUKs are composed of a series of peptide domains that include one or three DHR/PDZs, an SH3, and a region homologous to guanylate kinase (GUK). We have previously shown that the product of this gene, the Dlg protein, is localized at the septate junctions between epithelial cells, and that mutations in the gene cause neoplastic overgrowth of the imaginal discs. The dlg locus is therefore defined as a tumor suppressor gene. In this paper, we show that the Dlg protein is localized on the cytoplasmic face of the septate junction and is required for the maintenance of this structure. It is also required for proper organization of the cytoskeleton, for the differential localization of membrane proteins, and for apicobasal polarity of epithelial cells. However, these other functions can be uncoupled from Dlg's role as a tumor suppressor since mutations in two domains of the protein, the SH3 and GUK, cause loss of normal cell proliferation control without affecting the other functions of the protein. These results suggest that, besides regulating cellular proliferation, the Dlg protein is a critical component of the septate junctions and is required for maintaining apicobasal polarity in Drosophila epithelium.
(duo\\&klogkrrgg(gxfdwlrqqdqgg&duhhiruu&kloguhq Iurp /rzlqfrphhruu0lqrulw\\%dfnjurxqgv Intelligence and Learning in Young Children Some Recent Currents in Early Childhood Research Child Rearing Challenges for Low-income and Minority Families

INTRODUCTION 1. In many countries, systems of early childhood care and education (ECEC) are currently under review. A major force behind the reappraisal is the growing labour force participation of women, putting heavy demands on the existing systems that are forced to expand their capacity and to extend their services. A second major force is the alleged role of ECEC in preparing children from socioeconomically , disadvantaged families for formal schooling in primary school and in preventing psychosocial problems. A third issue-arising from increased immigration to industrial countries in past decades-is the challenge to provide for the children of cultural and linguistic minorities, although in most countries, traditional low-SES communities and indigenous minorities had never fully disappeared from national political agendas. 2. At the same time, new issues are being raised. Societies are becoming aware that early childhood is a particularly sensitive period, marked by a high degree both of adaptability and vulnerability in the developing child to the stimulation and stresses of his or her environment. With this new knowledge, uncertainty has also arisen concerning the impact of changes in traditional child-rearing patterns on the cognitive and social-emotional development of the young. Does early, intensive, long-day care-as a recent study suggests-lead to an increase of negative, aggressive behaviour in young children? One may dispute such far-reaching conclusions based on a single study, conducted in a particular social and cultural context. Less disputed, however, is the fact, based on studies across many countries, that low quality in early childhood services may increase child-or family-related developmental risks. Further, it is well researched that economic and cultural mechanisms operating within ECEC systems predetermine low-income and ethnic and socio-linguistic minority families to choose disproportionately the lower quality options. 3. The reverse side of the medal is also present, above all, the knowledge that the tremendous capacity and adaptability of young children provide an effective starting point for preventive interventions as part of a broader social inclusion policy. Education-oriented care-and preschool programmes are found to contribute importantly to the development of cognitive and language skills, providing disadvantaged children with a head start in primary school when formal instruction starts. 4. The recent OECD report Starting Strong (OECD, 2001) describes these developments in 12 OECD countries, detailing the recent changes in ECEC systems and national policies, revealing both common challenges and diverse solutions. The present paper focuses on a specific issue within this broad framework, …
Forensic Analysis of DoS Attack Traffic in MANET

This paper investigates distributed denial of service attacks using non-address-spoofing flood (NASF) over mobile ad hoc networks (MANET). Detection features based on statistical analysis of IDS log files and flow rate information are proposed. Detection of NASF attack is evaluated using three metrics, including detection ratio, detection time and false detection rate. Thus, the proposed framework address important issues in forensic science to identify what and when does the attack occur. Different NASF attack patterns with different network throughput degradations are simulated and examined in this paper.
Interaction settings for measuring ( social ) intelligence in multi-agent systems

In this paper we discuss several possibilities for an interaction setting used to evaluate (social) intelligence in multi-agent systems. The setting is based on a simple Reinforcement Learning scenario based on agents and cells, where agents compete or co-operate for rewards. We study the configurations where dynamics is not spoilt in the limit by equilibria, deadlocks or other inadequate properties, and where the complexity of agents and environment can play a meaningful role.
The Stoyanovsky-Ribault-Teschner Map and String Scattering Amplitudes

Recently, Ribault and Teschner pointed out the existence of a one-to-one correspondence between N-point correlation functions for the SL(2,C)_k/SU(2) WZNW model on the sphere and certain set of 2N-2-point correlation functions in Liouville field theory. This result is based on a seminal work by Stoyanovsky. Here, we discuss the implications of this correspondence focusing on its application to string theory on curved backgrounds. For instance, we analyze how the divergences corresponding to worldsheet instantons in AdS_3 can be understood as arising from the insertion of the dual screening operator in the Liouville theory side. We also study the pole structure of N-point functions in the 2D Euclidean black hole and its holographic meaning in terms of the Little String Theory. This enables us to interpret the correspondence between CFTs as encoding a LSZ-type reduction procedure. Furthermore, we discuss the scattering amplitudes violating the winding number conservation in those backgrounds and provide a formula connecting such amplitudes with observables in Liouville field theory. Finally, we study the WZNW correlation functions in the limit k -> 0 and show that, at the point k=0, the Stoyanovsky-Ribault-Teschner dictionary turns out to be in agreement with the FZZ conjecture at a particular point of the space of parameters where the Liouville central charge becomes c=-2. This result makes contact with recent studies on the dynamical tachyon condensation in closed string theory.
Algorithms for computing the group exponential of diffeomorphisms: Performance evaluation

In computational anatomy variability among medical images is encoded by a large deformation diffeomorphic mapping matching each instance with a template. The set of diffeomorphisms is usually endowed with a Riemannian manifold structure and parameterized by non-stationary velocity vector fields. An alternative parameterization based on stationary vector fields has been proposed, where paths of diffeomorphisms are the one-parameter subgroups, identified with the group exponential map. A log-Euclidean framework was proposed to compute statistics on finite dimensional Lie groups and later extended to diffeomorphisms. A fast algorithm based on the scaling and squaring (SS) method for the matrix exponential was applied to compute the exponential of diffeomorphisms. In this work we evaluate the performance of different approaches to compute the exponential in terms of accuracy and computational time. These approaches include forward Euler method, Taylor expansion, iterative composition, SS method, and a combination of interpolation and SS. In our results the SS method obtained the best performance trade-off, as it is accurate, fast and robust, but it has an intrinsic lower bound in accuracy. This lower bound can be partially overcome by oversampling the grid, at the expense of increased memory and time requirements. The Taylor expansion provided a fast alternative when spatial frequencies are small, and particularly for low ambient dimensions, but its convergence is not guaranteed in general.