Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Strategic Human Resource Management on Teacher Turnover in Private Secondary Schools in Nyeri County

The study sought to establish the effect of strategic human resource management on teacher turnover in private secondary schools in Nyeri County. The objectives of the study were to; investigate the extent to which career development opportunities affect teachers’ turnover in private schools; assess the extent to which work environment in the private secondary schools on the teachers’ turnover in private schools; evaluate the extent to which reward system on the teachers’ turnover in private schools; examine the extent to which work-life balance policies on the teachers’ turnover in private schools in Nyeri County. The study adopted a survey design to achieve the objectives. The population of the study was the school managers of the 21 private schools in Nyeri County and teachers who have previously transferred from private secondary schools in Nyeri County. The study will used 30% of the population as the sample and use stratified random sampling to pick individuals to participate in the study. Snowball sampling method was also used to reach out to teachers who had previously transferred from private schools. To collect data a close ended questionnaire was e used. The data collected was analyzed using Statistical Package for Social Sciences. The data was analyzed to generate frequencies, mean and percentages. Regression model was also generated to establish the relationship between the independent variable and dependent variable. The findings were as follows: Reward system was the most important human resource practice that affects teachers’ turn out. Career development was the second important followed by working environment and the least practice that affect turnover was work-life balance. Keywords: Human Resource, Strategic Human Resource Management, Teacher Turnover, Private Secondary Schools, Career development.
Do Redistributive Policies Affect Economic Growth? ——An Empirical Study based on Canadian data

To reduce income inequality, redistributive policies are widely adopted by both federal and provincial governments in Canada. Quebec and Canada have a fairer society in OECD countries. However, their economic growth is slower than many other countries. This paper studies how these redistributive policies affect economic growth based on Canadian data for the first time. The growth model is based on standard augmented Solow model and includes several different self-defined policy indexes. Using high quality panel data spanning the period 1982 to 2009 calculated from statistic Canada’s website and Arellano-Bond panel technique, empirical analyses show that redistributive policy is negatively and significantly associated with economic growth. These findings are in accordance with many former literatures and may have important policy significance.
Long-term results after simple versus complex stenting of coronary artery bifurcation lesions

results of the Bifurcation Study. Background Randomized clinical trials with short-term follow-up have indicated that coronary bifurcation lesions may be optimally treated using the optional side branch stenting strategy. A of 413 patients with a coronary bifurcation lesion were randomly assigned to a simple stenting strategy of main vessel (MV) and optional stenting of side coronary bifurcation stenting with the crush versus the culotte tech- nique using sirolimus eluting stents: the Nordic Stent Technique Study. Circ Cardiovasc Interv 2009;2:27 – 34.
Cell Metabolism Ebf 2 Controls Brown Fat Cell Fate

Sona Rajakumari,1,2,6 Jun Wu,4,6 Jeff Ishibashi,1,2 Hee-Woong Lim,1,3 An-Hoa Giang,4 Kyoung-Jae Won,1,3 Randall R. Reed,5 and Patrick Seale1,2,* 1Institute for Diabetes, Obesity, and Metabolism 2Department of Cell and Developmental Biology 3Department of Genetics Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA 4Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA 5Center for Sensory Biology, Department of Molecular Biology and Genetics, Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA 6These authors contributed equally to this work *Correspondence: sealep@upenn.edu http://dx.doi. org/10.1016/j.cmet. 2013.01. 015
Representation of Landcover Along Breeding Bird Survey Routes in the Northern Plains

Abstract The North American Breeding Bird Survey (BBS) is used extensively to make inferences about populations of many North American bird species and is increasingly being used for avian conservation planning. How well BBS routes represent the landscape is poorly known, even though accuracy of representation could significantly affect inferences made from BBS data. We used digital landcover data to examine how well landcover within 400-m buffers around BBS routes represented the surrounding landscape (the route neighborhood) for 52 routes in the Prairie Pothole Region of North Dakota and South Dakota. Differences in composition between landcover along BBS routes and the route neighborhood were not statistically significant for upland cover classes. The area of temporary and seasonal wetland basins was accurately represented by BBS routes in our study area, but the area of semipermanent and permanent wetland basins was significantly underrepresented along BBS routes. Number of wetland basins and upland patches was higher along routes. Area of urban, forest, and hay landcover classes was higher along routes, although differences were not statistically significant. Amount of bias in landcover representation was negatively correlated with the proportion of each landcover type in the study area, but bias was not correlated with area of the route neighborhoods. Differences between landcover along BBS routes and the route neighborhood were primarily attributable to increased anthropogenic activity along roads and siting of roads away from relatively large, deep water bodies. Our results suggest that inferences made from BBS data in our study region are likely biased for species that are associated with deeper-water habitats or are strongly influenced by landscape fragmentation. Inferences made from BBS data for species associated with uplands or shallow wetlands are less likely to be biased because of differences in landcover composition.
Chapter 2 Electrified Pressure-Driven Instability in Thin Liquid Films

The electrified pressure-driven instability of thin liquid films, also called electrohydrodynamic (EHD) lithography, is a pattern transfer method, which has gained much attention due to its ability in the fast and inexpensive creation of novel microand nanosized features. In this chapter, the mathematical model describing the dynamics and spatiotemporal evolution of thin liquid film is presented. The governing hydrodynamic equations, intermolecular interactions, and electrostatic force applied to the film interface and assumptions used to derive the thin film equation are discussed. The electrostatic conjoining/disjoining pressure is derived based on the long-wave limit approximation since the film thickness is much smaller than the characteristic wavelength for the growth of instabilities. An electrostatic model, called an ionic liquid (IL) model, is developedwhich considers a finite diffuse electric layer with a comparable thickness to the film. This model overcomes the lack of assuming very large and small electrical diffuse layer, as essential elements in the perfect dielectric (PD) and the leaky dielectric (LD) models, respectively. The ion distribution within the IL film is considered using the Poisson-Nernst-Planck (PNP) model. The resulting patterns formed on the film for three cases of PD-PD, PD-IL, and IL-PD double layer system are presented and compared.
Anesthesia : Essays and Researches

Neuromonitoring aims to detect harmful physiologic events, early enough to guide the treatment instituted. Evidences encourage us to implement multimodal monitoring, as no single monitor is capable of providing a complete picture of dynamic cerebral state. This review highlights the role of intracranial pressure monitoring, cerebral oxygenation (jugular venous oximetry, brain tissue oxygenation, near infrared oximetry, cerebral microdialysis) and cerebral blood fl ow monitoring (direct and indirect methods) in the management of neurologically injured patients. In this context, the recent developments of these monitors along with the relevant clinical implications have been discussed. Nevertheless, the diverse range of data obtained from these monitors needs to be integrated and simplifi ed for the clinician. Hence, the future research should focus on identifi cation of a most useful monitor for integration into multimodal system.
Assessment of MODIS NPP algorithm-based estimates using soil fertility and forest inventory data in mixed hemiboreal forests

Abstract Optical remote sensing data-based estimates of terrestrial net primary production (NPP) are released by different projects using light use efficiency-type models. Although spatial resolution of the NPP data sets is still too coarse (500–1000 m) for single forest stands, regional monitoring of forest management and growth with 25–100 ha sampling units is feasible if the NPPSAT estimates are sensitive to forest growth differences depending on soil fertility in the area of interest. In this study, NPP estimates for 2,914 mixed forest class pixels (according to the MODIS land cover map) located in Estonia were (1) obtained from three different NPPSAT products, (2) calculated using an empirical soil potential phytoproductivity (SPP) model applied to a 1:10,000 soil map (NPPSPP), and (3) calculated using stem volume increment estimates given in a forest management inventory data base (NPPFIDB). A linear multiple regression model was then used to explore the relationships of NPPSAT with the proportion of coniferous forests, the NPPSPP and distance of the pixels from the Baltic Sea coast – the variables that have been found informative in previous studies. We found a positive moderate correlation (0.57, p < 0.001) between NPPSPP and NPPFIDB. The local or downscaled meteorological data-based NPPSAT estimates were more consistent with the NPPSPP and NPPFIDB, but the correlation with NPPSAT was weak and sometimes even negative. The range of NPP estimates in NPPSAT data sets was much narrower than the range of NPPSPP or NPPFIDB. Errors in land cover maps and in estimates of absorbed photosynthetically active radiation were identified as the main reasons for NPPSAT inconsistencies.
Compartments in the Human Rhabdomyosarcoma Tumor Cell and Stroma Cell Signaling β and PDGFR α Distinct Effects of Ligand-Induced PDGFR

Platelet-derived growth factor receptors (PDGFR) a and b have been suggested as potential targets for treatment of rhabdomyosarcoma, themost common soft tissue sarcoma in children. This study identifies biologic activities linked to PDGF signaling in rhabdomyosarcomamodels and human sample collections. Analysis of gene expression profiles of 101 primary human rhabdomyosarcomas revealed elevated PDGF-C and -D expression in all subtypes, with PDGF-D as the solely overexpressed PDGFRb ligand. By immunohistochemistry, PDGF-CC, PDGFDD, and PDGFRa were found in tumor cells, whereas PDGFRb was primarily detected in vascular stroma. These results are concordant with the biologic processes and pathways identified by data mining. While PDGF-CC/ PDGFRa signaling associated with genes involved in the reactivation of developmental programs, PDGF-DD/ PDGFRb signaling related to wound healing and leukocyte differentiation. Clinicopathologic correlations further identified associations between PDGFRb in vascular stroma and the alveolar subtype and with presence of metastases. Functional validation of our findings was carried out in molecularly distinct model systems, where therapeutic targeting reduced tumor burden in a PDGFR-dependent manner with effects on cell proliferation, vessel density, andmacrophage infiltration. The PDGFR-selective inhibitor CP-673,451 regulated cell proliferation throughmechanisms involving reduced phosphorylation ofGSK-3a andGSK-3b. Additional tissue culture studies showed a PDGFR-dependent regulation of rhabdosphere formation/cancer cell stemness, differentiation, senescence, and apoptosis. In summary, the study shows a clinically relevant distinction in PDGF signaling in human rhabdomyosarcoma and also suggests continued exploration of the influence of stromal PDGFRs on sarcoma progression. Cancer Res; 73(7); 2139–49. 2013 AACR.
Wind driven waves and re-suspension dynamics in shallow lakes : St. Lucia, South Africa.

This study investigated wind-driven wave characteristics together with associated sediment re-suspension dynamics in a shallow lake estuarine environment. Natural processes such as circulation patterns and nutrient distribution, as well as characteristics such as water quality and phytoplankton abundance depend on the physical mechanisms provided by wind-driven waves within the shallow lake habitat. A field study was conducted over a period of 20 days wherein measuring stations were deployed throughout Lake St Lucias South Lake. Lake St Lucia is a 328 km2 estuarine lake with a depth of ≈ 1 m located near the east coast of South Africa. Each measuring station consisted of a pressure transducer used to measure wave heights, and a water quality logging system to measure turbidity levels, salinity, temperature and dissolved oxygen levels. Wave stations were positioned to sample a range of fetch distances and depths as well as varying bed composition types, from areas composed of fine grained mud/silt to areas composed of large grained sand. Time series of measured significant wave heights were derived from the pressure data. Predicted significant wave heights were derived from a semi-empirical model that uses wind speed, fetch distance and average depth over fetch as input variables, but does not consider the influence of variable bed composition. The measurements were compared with the modelled significant wave heights to determine the efficacy of applying the semi-empirical wave model in an environment with variable bed composition. A simplified model relating sediment re-suspension to wave energy was also calibrated and evaluated for accuracy and efficiency using turbidity field measurements. The wave model produced good predictions of peak significant wave heights and agreed with the observed wave development trends in conditions where the wind speed and direction were high and relatively constant respectively. Sudden wind speed and direction changes resulted in poor prediction by the model. The poor performance was ascribed to the lakes geometric complexity where slight changes in wind direction cause large changes in fetch distance; and to the models sensitivity to wind speed. Instances of wave attenuation were identified, but these cannot be conclusively linked to the effects of muddy substrates. The model for suspended sediment concentration (SSC) predicted peak re-suspension concentrations well but the settlement process was not accurately reproduced by the model. This suggests that settling velocities may have a complex relationship to SSC, turbulence levels and suspended sediment composition.
Vellaria zucchellii sp. nov. a new monothalamous foraminifer from Terra Nova Bay, Antarctica

Vellaria zucchellii sp. nov. is described from coastal sediment samples from Terra Nova Bay (Ross Sea, Antarctica, 74°40′28.1″S, 164°04′11.6″E, Tethys Bay, 25 m depth). This organic-walled monothalamous (single chambered) foraminifer is characterized by a wide, prominent aperture that facilitates attachment to larger particles (small sand grains or other foraminiferal shells). It shares this feature with the two other known species of Vellaria, both of which were described from an Indian estuary. Phylogenetic analysis of small subunit rRNA gene sequences suggest that V. zucchellii is related to the genus Psammophaga. However, the new species lacks the mineral grain inclusions that are characteristic of Psammophaga. The description of this new organic-walled monothalamous foraminiferal species further documents the high taxonomic diversity of these delicate and abundant protists in the polar benthic communities.
Molecular Cell CHK 2 Structure phosphorylation of Thr 383 on the activation loop

The CHK2 protein kinase is an important transducer of DNA damage checkpoint signals, and its mutation contributes to hereditary and sporadic cancer. CHK2 activation is triggered by the phosphorylation of Thr68 by the DNA damage-activated ATM kinase. This leads to transient CHK2 dimerization, in part through intermolecular phosphoThr68-FHA domain interactions. Dimerization promotes kinase activation through activation-loop autophosphorylation, but the mechanism of this process has not been clear. The dimeric crystal structure of CHK2, described here, in conjunction with biochemical and mutational data reveals that productive CHK2 dimerization additionally involves intermolecular FHAkinase domain and FHA-FHA interactions. Ile157, mutated in the Li-Fraumeni cancer-predisposition syndrome, plays a central role in the FHA-kinase domain interface, explaining the lack of dimerization and autophosphorylation of this mutant. In the dimer, the kinase active sites face each other in close proximity, indicating that dimerization may also serve to optimally position the kinase active sites for efficient activation loop transphosphorylation.
Distributed Smoothed Tree Kernel Lorenzo Ferrone

English. In this paper we explore the possibility to merge the world of Compositional Distributional Semantic Models (CDSM) with Tree Kernels (TK). In particular, we will introduce a specific tree kernel (smoothed tree kernel, or STK) and then show that is possibile to approximate such kernel with the dot product of two vectors obtained compositionally from the sentences, creating in such a way a new CDSM. Italiano. In questo paper vogliamo esplorare la possibilità di unire il mondo dei metodi di semantica distribuzione composizionale (CDSM) con quello dei tree Kernel (TK). In particolare introdurremo un particolare tree kernel e poi mostreremo che possibile approssimare questo kernel tramite il prodotto scalare tra due vettori ottenuti composizionalmente a partire dalle frasi di partenza, creando cos̀ı di fatto un nuovo modello di semantica distribuzionale composizionale.
microRNA clusters A computational screen for mouse signaling pathways targeted by Material Supplemental

MicroRNAs (miRNAs) are one class of short, endogenous RNAs which can regulate gene expression at the post-transcriptional level. Previous analysis revealed that mammalian miRNAs tend to cluster on chromosomes. However, the functional consequences of this clustering and conservation property are largely unknown. In this study we present a method to identify signaling pathways targeted by clustered miRNAs. We performed a computational screen for mouse signaling pathways targeted by miRNA clusters. Here, we report that the target genes of 3 miRNA clusters are overrepresented in 15 signaling pathways. We provided experimental evidence that one miRNA cluster, mmu-mir-183–96–182 targets Irs1, Rasa1, and Grb2, all of which are located in the insulin signaling pathway. Theses results suggest that by targeting components with different roles along a signaling pathway, different members of one miRNA cluster can act as a whole to coordinately control the signal transduction process.
Experimental dielectronic recombination rate coefficients for Na-like S VI and Na-like Ar VIII

Aims. Absolute recombination rate coefficients for two astrophysically relevant Na-like ions are presented. Methods. Recombination rate coefficients of S vi and Ar viii are determined from merged-beam type experiments at the CRYRING electron cooler. Calculated rate coefficients are used to account for recombination into states that are field-ionized and therefore not detected in the experiment. Results. Dielectronic recombination rate coefficients were obtained over an energy range covering Δn = 0 core excitations. For Na-like Ar a measurement was also performed over the Δn = 1 type of resonances. In the low-energy part of the Ar viii spectrum, enhancements of more than one order of magnitude are observed as compared to the calculated radiative recombination. The plasma recombination rate coefficients of the two Na-like ions are compared with calculated results from the literature. In the 10 3 −10 4 K range, large discrepancies are observed between calculated plasma rate coefficients and our data. At higher temperatures, above 10 5 K, in the case of both ions our data is 30% higher than two calculated plasma rate coefficients, other data from the literature having even lower values. Conclusions. Discrepancies below 10 4 K show that at such temperatures even state-of-the-art calculations yield plasma rate coefficients that have large uncertainties. The main reason for these uncertainties are the contributions from low-energy resonances, which are difficult to calculate accurately.
Semi-device-independent bounds on entanglement

Detection and quantification of entanglement in quantum resources are two key steps in the implementation of various quantum-information processing tasks. Here, we show that Bell-type inequalities are not only useful in verifying the presence of entanglement but can also be used to bound the entanglement of the underlying physical system. Our main tool consists of a family of Clauser-Horne-like Bell inequalities that cannot be violated maximally by any finite-dimensional maximally entangled state. Using these inequalities, we demonstrate the explicit construction of both lower and upper bounds on the concurrence for two-qubit states. The fact that these bounds arise from Bell-type inequalities also allows them to be obtained in a semi-device-independent manner, that is, with assumption of the dimension of the Hilbert space but without resorting to any knowledge of the actual measurements being performed on the individual subsystems.
Banner Adverts : More than the Final Click

Purpose/Summary: This study intends to gain an exploratory insight into the behaviours of young adults (18-25) which affects their response to online banner adverts. By utilising the consumer-controlled focus of the Interactive Advertising Model and incorporated functional behaviours of internet motives and modes as the pivot of the study, enabled the ability to facilitate a core behavioural understanding of the targeted cohort as well as key associated factors. In addition, brief, yet constructive recommendations in relation to this study are presented for the business community. Design Methodology: An exploratory understanding was examined by means of a qualitative research approach. Semi-Structured face-to-face interviews were conducted with 8 university students. Data was analysed using the template analysis coding system. Findings: Findings indicate that adverts relatedness, personal interest, risk, and congruity, in conjunction with mode of behaviour and internet motive are important factors affecting a young adult’s response; Ignore, Notice, Click, to banner adverts. Research Implications: Vast amounts of online advertising spend is directed towards engaging with young adults. With characteristics showcasing young adults as worldly enough to see through advertising messages, understanding the behaviours of which influences the likely hood of engagement with banner adverts is therefore an essential focus. Originality/Value: To the best of the author’s knowledge, studies to date have failed to test the consumer-controlled dynamic of the IAM to the young adult cohort from a qualitative approach. A qualitative approach provides the ability to yield rich information collection and gather in-depth insights into subjective meanings. In addition, the outcomes of this study can be exploited to drive further research in the field.