Miracle-dz/UniFAR-FTUs huggingface dataset:
ANALISIS PENGARUH WORK FAMILY CONFLICT DAN FAMILY WORK CONFLICT TERHADAP INTENTION TO QUIT DENGAN BURNOUT SEBAGAI VARIABEL INTERVENING (Studi Pada Karyawan PT. Telekomunikasi Indonesia, Tbk. Wilayah Semarang)

I ntention to quit is one of the most widely researched areas in organizational analysis because the lack of competent employees can negatively impact the organization's competitive advantage. Employees who are less competent can be caused by work family conflict and family work conflict when they work. Imbalances of both roles can cause employees experiencing burnout due to prolonged stress. Continuous burnout conditions can trigger employees to have intention to quit from their work. The aim of this study is to describe and analyze the influence of work family conflict and family work conflict on intention to quit with burnout as an intervening variable. This research was conducted by distributing questionnaires to all female employees of PT Telekomunikasi Indonesia, Tbk. Wilayah Semarang which amounted to 46 employees. Data analysis method used is multiple linear regression analysis. Mechanical testing data used this study i nclude the path analysis and sobel test to test the effect of mediation. The results showed that work family conflict positive and significant influence to burnout and intention to quit, family work conflict positive and significant influence to burnout and intention to quit, and burnout positive and significant influence on intention to quit. Additionally, burnout capable mediating the relationship between work family conflict and family work conflict on intention to quit.
Towards implementation of far background tracker for vision-based robot navigation

Visual tracking of stationary points positioned at a large distance from moving robot provides a good basis for determining robot orientation and it may speed-up operation of structure from motion and navigation algorithms. This paper considers an implementation of the tracker that builds a far background model by assigning each visually tracked point a degree of membership that express an extent to which an apparent motion of corresponding image patch is in accordance to motion of projections of points at infinity. An experimental implementation of the tracker is described together with illustrative examples of its operation.
Wavelet frames generated by bandpass prolate functions

We refer to eigenfunctions of the kernel corresponding to truncation in a time interval followed by truncation in a frequency band as bandpass prelates (BPPs). We prove frame bounds for certain families of shifts of bandpass prolates, and we numerically construct dual frames for finite dimensional analogues. In the continuous case, the corresponding families produce wavelet frames for the space of square-integrable functions.
Comparison of Allevyn Adhesive and Biatain Adhesive in the management of pressure ulcers.

OBJECTIVE The primary objective was to assess dressing delamination and the ensuing potential consequences during wear and/or removal, as well as the effect of residue remaining in the ulcer following foam breakdown. METHOD In this prospective multicentre study, 32 patients with a grade II or III pressure ulcer were randomised to receive either Allevyn Adhesive or Biatain Adhesive dressing. The performance of the dressings was assessed over seven dressing changes or a maximum of six weeks. The primary efficacy variable was the proportion of patients with at least one delaminated dressing (delamination being defined as the falling apart of a dressing during wear or removal, or the presence of residue from the dressing in the ulcer). RESULTS Allevyn Adhesive was significantly less likely to delaminate than Biatain Adhesive: 83% of patients given Biatain Adhesive had a dressing that delaminated compared with 14% for Allevyn Adhesive (p = 0.014). Furthermore, a greater proportion of the Biatain Adhesive dressings delaminated compared with the Allevyn Adhesive dressings: 50% versus 4% (p < 0.001). Allevyn Adhesive performed significantly better in the following parameters: handling exudate (p = 0.044), comfort (p = 0.007), ease of application (p = 0.004), conformability during application (p = 0.003) and removal (p < 0.0001), and adherence to the skin during application (p = 0.003) and prior to removal (p = 0.011). Three patients given Allevyn Adhesive (21%) reported three adverse events; six patients given Biatain Adhesive (33%) reported eight adverse events. CONCLUSION Allevyn Adhesive is effective and well tolerated in the management of pressure ulcers and less likely to delaminate than Biatain Adhesive.
Enhanced community detection in social networks using active spectral clustering

Detecting community structure is a fundamental problem in social networks analysis. In this paper, an enhanced semi-supervised approach to community detection using active spectral clustering is proposed. This approach incorporates partial background knowledge in the form of pairwise must-link and cannot-link constraints into community detection. It achieves significant performance improvement using fewer constraints by actively selecting the most informative constraints and querying human expert for them. The constraints are incorporated into spectral clustering by adjusting the pairwise similarity matrix accordingly. Experimental results on benchmark synthetic and real world social networks show that this approach significantly outperforms recent semi-supervised algorithms for community detection in terms of the Normalized Mutual Information (NMI) achieved with respects to the percentage of constraints used.
Teaching for well-being? Introducing mindfulness in an undergraduate course

Abstract Student mental health and well-being are increasing concerns in higher education. This exploratory study examined students’ learning in a mindfulness programme incorporated into an undergraduate class. Six brief mindfulness-based practices were introduced: mindfulness meditation, walking meditation, body scan, mindful eating, loving-kindness and Tonglen meditation. Fourteen students were interviewed after completion of the course to explore their conceptions and use of mindfulness and other self-care practices. Results of thematic analyses suggest that there were variations in students’ adoption of mindfulness-based practices and students’ preferred mindfulness techniques. Most participants reported that mindfulness instruction and practice were beneficial but this was not universal; some students reported that mindfulness was ‘not for them’. Findings suggest that mindfulness fostered self-reflection, self-awareness and relaxation for many students and incorporating mindfulness at the beginning of class improved the overall quality of discussion and facilitated students’ learning. Findings further suggest that students incorporated mindfulness into existing self-care practices that included a variety of other preferred techniques to enhance self-reflection, self-awareness and relaxation. Overall, our findings suggest that students should be helped, through explicit instruction, to develop a ‘toolbox’ of self-care approaches that may include, but are not necessarily limited to, mindfulness techniques.
Evolutionof genetic redundancy

1. Janzen, D. H. Coevolution of mutualism between ants and Acacia in Central America. Evolution 20, 249–275 (1966). 2. Hocking, B. Insect associations with the swollen-thorn acacias. Trans. R. Ent. Soc. Lond. 122, 211–255. 3. Knox, R. B. , Marginson, R. , Kenrick, J. & Beattie, A. J. in Insects and the Plant Surface (eds Juniper, B. E. & Southwood, T. R. E.) 295–307 (Arnold, London, 1986). 4. Del-Claro, K. , Berto, V. & Reu, W. Effect of herbivore deterrence by ants on the fruit set of an extrafloral nectary plant Qualea multiflora (Vochysiaceae). J. Trop. Ecol. 12, 887–792 (1996). 5. Niesenbaum, R. A. Linking herbivory and pollination: defoliation and selective fruit abortion in Lindera benzoin. Ecology 77, 2324–2331 (1996). 6. Koptur, S. in Insect–Plant Interactions (ed. Bernays, E.) 81–129 (CRC Press, Boca Raton, 1992). 7. Ross, J. H. An analysis of the African Acacia species: their distribution, possible origins and relationships. Bothalia 13, 389–413 (1981). 8. Young, T. P., Stubblefield, C. H. & Isbell, L. A. Ants on swollen thorn Acacias: species coexistence in a simple system. Oecologia 109, 98–107 (1997). 9. Stone, G. N. , Willmer, P. G. & Nee, S. Daily partitioning of pollinators in an African Acacia community. Proc. R. Soc. Lond. B 263, 1389–1393 (1996). 10. Tybirk, K. Pollination, breeding system and seed abortion in some African acacias. Bot. J. Linn. Soc. 112, 107–137 (1993). 11. Feinsinger, P. & Swarm, L. A. How common are ant-repellent nectars? Biotropica 10, 238–139 (1978). 12. Prys-Jones, O. E. & Willmer, P. G. The biology of alkaline nectar in the Purple Toothwort (Lathrea clandestina): ground level defence. Biol. J. Linn. Soc. 45, 373–388 (1992).
A grammatical evolution approach to intrusion detection on mobile ad hoc networks

In recent years mobile ad hoc networks (MANETs) have become a very popular research topic. By providing communication in the absence of a fixed infrastructure they are very attractive for many applications such as tactical and disaster recovery operations and virtual conferences. On the other hand, this flexibility introduces new security risks. Moreover, different characteristics of MANETs make conventional security systems ineffective and inefficient for this new environment. Intrusion detection, which is an indispensable part of a security system, presents also a particular challenge due to the dynamic nature of MANETs, the lack of central points, and their highly constrained nodes. In this paper, we propose to investigate the use of an artificial intelligence based learning technique to explore this difficult design space. The grammatical evolution technique inspired by natural evolution is explored to detect known attacks on MANETs such as DoS attacks and route disruption attacks. Intrusion detection programs are evolved for each attack and distributed to each node on the network. The performance of these programs is evaluated on different types of networks with different mobility and traffic patterns to show their effects on intrusion detection ability.
An Adjoint Approach for Stabilizing the Parareal Method

The parareal algorithm seeks to extract parallelism in the time-integration direction of time-dependent differential equations. While it has been applied with success to a wide range of problems, it suffers from some stability issues when applied to non-dissipative problems. We express the method through an iteration matrix and show that the problematic behavior is related to the non-normal structure of the iteration matrix. To enforce monotone convergence we propose an adjoint parareal algorithm, accelerated by the Conjugate Gradient Method. Numerical experiments confirm the stability and suggest directions for further improving the performance.
PDGF- and insulin/IGF-1-specific distinct modes of class IA PI 3-kinase activation in normal rat retinas and RGC-5 retinal ganglion cells.

PURPOSE To compare PDGF- and insulin/IGF-1-induced class I(A) PI 3-kinase/Akt survival signaling in normal retinas and retinal ganglion cells (RGCs). METHODS Normal rat retinas and RGC-5 cells were used for (1) immunohistochemical and immunoblot studies to detect PDGF receptor (PDGFR) subtypes and (2) immunoprecipitation, immunoblot, and in vitro lipid kinase assays to determine basal and PDGF-induced class I(A) PI 3-kinase/Akt survival signaling, in comparison with insulin or IGF-1 responses. Furthermore, RGC-5 cells were exposed to broad-spectrum (LY294002) or p110 isoform-selective (PI-103) PI 3-kinase inhibitors (versus Akt inhibitor) to assess the consequent effects on Akt phosphorylation, caspase-3/PARP cleavage, apoptotic phenotype, and cell viability, as a function of serum trophic factors. RESULTS PDGFR-alpha and -beta immunoreactivity was observed in rat retinal Müller cells and in the RGC layer and blood vessels, respectively. In addition, PDGFR-alpha and -beta protein expression was observed in RGC-5 cells. Both retinas and RGC-5 cells exhibited a similar pattern of subunit-specific basal class I(A) PI 3-kinase activity, which was stimulated in a temporal and signal-specific manner by PDGF and insulin/IGF-1. Furthermore, RGC-5 cells showed PDGFR-alpha/beta tyrosine phosphorylation that induced the p85alpha regulatory subunit to activate p110alpha/beta-associated class I(A) PI 3-kinase, which in turn enhanced Akt phosphorylation. Exposure of serum-deprived RGC-5 cells to PI 3-kinase or Akt inhibitors increased susceptibility to apoptotic phenotype as revealed by caspase-3 and PARP cleavage. CONCLUSIONS The present findings provide direct evidence of two distinct modes of retinal class I(A) PI 3-kinase activation that occurs in response to PDGF receptor and insulin/IGF-1 receptor stimulation. PDGF-induced PI 3-kinase/PIP3/Akt axis may provide new therapeutic approaches to ameliorate cell death in diabetic retinopathy and other retinal neurodegenerations.
Bio-inspired Aluminium-based Random Plasmonic Metasurface for Biosensing Applications

Medical Engineering, California Institute of Technology, Pasadena, CA 91125, USA NanoPhotonics Group, Kapitza Building, Cavendish Laboratory, University of Cambridge, UK Institute of Microstructure Technology, Karlsruhe Institute of Technology, Hermann-von-Helmholtzplatz1, 76344 Eggenstein-Leopoldshafen, Germany Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK 5 Electrical Engineering, California Institute of Technology, Pasadena, CA 91125, USA
An adaptive node partition clustering protocol using particle swarm optimization

Wireless Sensor Networks (WSNs) are networks of autonomous nodes used for monitoring an environment, and clustering is one of the most popular and effective approach for WSNs that require scalability and robustness. In this paper, we propose and analyze an Adaptive Node Partition Clustering protocol using Particle Swarm Optimization (ANPC-PSO), a protocol that partitions the network field adaptively and selects cluster heads (CHs) consider the networks states information. The results of performance evaluation show that ANPC-PSO can improve system lifetime and data delivery by distributing energy dissipation evenly in the networks.
Near-native Protein Structure Simulation

The protein folding problem is a fundamental problem in computational molecular biology and biochemical physics. The high resolution 3D structure of a protein is the key to the understanding and manipulating of its biochemical and cellular functions. All information necessary to fold a protein to its native structure is contained in its amino-acid sequence. Proteins structure could be calculated from knowledge of its sequence and our understanding of the sequence-structure relationships. Various optimization methods have been applied to formulation of the folding problem. There are two main approaches. The one is based on properties of homologous proteins. Other is based on reduced models of proteins structure like hydrophobic-polar (HP) protein model. After that, the folding problem is defined like optimization problem. It is a hard optimization problem and most of the authors apply Monte Carlo or metaheuristic methods to solve it. In this paper other approach will be used. By HP model is explained the structures of proteins conformation observed by biologists and is studied the correspondence between the primary and tertiary structures of the proteins.
Understanding Data Analytics Workloads on Intel(R) Xeon Phi(R)

The Intel® Xeon Phi™ is gaining popularity for high-performance computing (HPC) applications, but the performance of this many-core coprocessor with wide floating point SIMD units has yet to be explored on data analytics workloads. We construct a benchmark suite to explore the Xeon Phi™'s potential for use in data center servers. Our resulting PhiBench consists of eight representative data analytics workloads covering six application domains. These workloads are optimized for Xeon Phi™ and implemented with openMP and Cilk Plus. We run them on real-world datasets and compare their performances for different programming models, input data sizes, and thread counts. Most benefit from the Xeon Phi™'s high computational capacity, delivering speedups by factors of four to almost 29. We further analyze their microarchitecture-level performance characteristics, including vectorization intensities and cache behaviors, and we investigate the impact of affinities and scheduling policies on performance and scalability. Our observations should help other researchers and practitioners to understand and optimize the behaviors of data analytics workloads on the Xeon Phi™.
Treatment of Chronic HCV Infection in Special Populations

The mainstay of treatment of chronic hepatitis C is pegylated interferon combined with ribavirin and more than 50% of naïve patients will have viral cure with either 6 months (genotypes 2 and 3) or 12 months (genotypes 1,4, and 6) with the initial treatment. However, populations have been defined that respond less well to routine treatment including African Americans, immune suppressed populations, obese patients and cirrhotic patients. These types of patients are enriched in groups of patients who are non-responders to treatment. This article discusses viral kinetics that may impact treatment response, strategies to maximize treatment effectiveness in these populations and the treatment of non-responders in general. Early viral kinetics can be used to define response or non-response and these results can be used to modify subsequent treatment length and dose.
Testing Flight Paths for Collecting 3D LADAR Imagery of Inconspicuous Targets

A pilot study was performed to examine flight paths for an airborne foliage-penetrating Laser Detection and Ranging (LADAR) three-dimensional (3D) imaging system. Such systems form 3D images based on time-of-flight of laser photons, some of which pass through gaps in foliage or other partial obscurants such as camouflage nets. Hence the 3D image will contain partial information about any objects behind or underneath such obscurants. The obscurant can be removed from the image by only keeping points within some appropriate range, leaving a partial image of the hidden objects which may include targets of interest. An improved overall image can be formed by combining images taken from several different viewpoints, using knowledge of the LADAR sensor's location at each viewpoint. In this study, we compared the overall 3D images obtained from an airborne LADAR system during different flight paths. The scene for each flight path consisted of a four-wheel-drive vehicle placed in a section of a eucalypt forest. Models for the vehicle and the individual trees were created in the 3D modelling software Maya, and exported as point clouds to be used in the general-purpose analysis software MATLAB. The overall forest scene was then assembled from the individual trees. The amount of light penetrating the foliage was determined at three different locations within the scene. On average, results were found to roughly agree with the prediction that light penetration scales with the sine of the angle from horizontal. Formation of LADAR images was modelled by determining the set of points in the scene that had a direct line-of-sight to the airborne sensor. This low-fidelity approach was taken because the aim of the study was to investigate ways of tasking the sensor system, rather than using the model as part of a hardware design process or a testbed for data processing algorithms. Since there is already a random effect due to line-of-sight through the forest canopy, it was decided that further random effects leading to false returns or missed returns would unnecessarily complicate the comparison between results from different flight paths. The flight paths in this study were intended to keep the sensor footprint directed at a known or assumed target area on the ground. One type of path was an arc centred at this location, with the sensor constantly directed sideways at an appropriate elevation. The other type of path went straight past the target area, with the sensor needing to be constantly redirected. Different scan spacings along the path were also investigated. It was assumed that the unobscured view from each flight path would be sufficient for the surveillance or reconnaissance task. So for each flight path, the Hausdorff distance was calculated as a measure of the difference between the 3D image of the target taken through the foliage and the corresponding unobscured image from the same flight path. No significant difference was found between results for the straight and arc paths, but the 3D images were closest to the unobscured views for the smallest scan spacing.
AGILE MANUFACTURING: ENABLERS AND AN IMPLEMENTATION FRAMEWORK

Tougher competitive situations have led to increasing attention being paid to customer satisfaction, of which timely and customized services are the key concepts. As the product life cycle becomes shortened, high product quality becomes necessary for survival. Markets become highly diversified and global, and continuous and unexpected change become the key factors for success. The need for a method of rapidly and cost-effectively developing products, production facilities and supporting software, including design, process planning and shop floor control system has led to the concept of agile manufacturing. Agile manufacturing can be defined as the capability to survive and prosper in a competitive environment of continuous and unpredictable change by reacting quickly and effectively to changing markets, driven by customer-designed products and services. This article details the key concepts and enablers of agile manufacturing. The key enablers of agile manufacturing include: (i) virtual enterprise formati.
Performance of Rate-Based Control Method Using EPRCA – Initial Transient State Analysis of EFCI Switch –

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Diversity of individual dynamic patterns of emergence of resistance to quinolones in Escherichia coli from the fecal flora of healthy volunteers exposed to ciprofloxacin.

BACKGROUND Emergence of quinolone-resistant Escherichia coli (QREC) is an increasing clinical challenge mostly originating in fecal microbiota. The dynamics of the emergence of QREC in feces from individuals exposed to ciprofloxacin is unknown. METHODS A total of 48 healthy volunteers received oral ciprofloxacin for 14 days. Fecal specimens were collected on days 0, 8, 14, and 42. Subpopulations of QREC were detected on selective agar, genetically characterized, and compared with quinolone-susceptible E. coli (QSEC) strains collected on different days. RESULTS On day 42, 34 subjects carried QSEC, and 14 carried QREC. Of the 14 who carried QREC, 9 carried quinolone-susceptible E. coli on day 0, 1 carried E. coli with a lower level of quinolone resistance on day 0, and 4 carried E. coli with similar levels of resistance and RAPD-genotypes on days 0 and 42. No plasmid acquisition and no selection of resistant mutants from the initial microbiota was evidenced in any case. CONCLUSIONS In QREC emerging under ciprofloxacin pressure in the fecal microbiota, no proof of selection of quinolone-resistant mutants from the initial microbiota was evidenced, suggesting that QREC strains on day 42 were either present at undetectable levels in the initial microbiota or that exogenous acquisition of QREC strains occurred. Clinical Trials Registration. NCT00190151.