Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relationship of Principal Resiliency to Job Satisfaction and Work Commitment: An Exploratory Study of K-12 Public School Principals in Florida.

The purpose of this study was to investigate characteristics associated with resilient school leaders. Principals juggle multiple responsibilities and work under increasingly stressful conditions. Despite recent role changes, added job responsibilities, and increased accountability, some principals remain remarkably resilient while working in a tumultuous environment. Using Henderson and Milstein’s (2003) definition, principal resiliency was described as “the capacity to spring back, rebound, successfully adapt in the face of adversity, and develop social, academic, and vocational competence despite exposure to severe stress or simply to the stress that is inherent in today’s world” (p. 7). This empirical study tested the theory that principals with higher levels of job satisfaction and work commitment would also likely have higher levels of resilience. This study also investigated whether years of experience, school location, school poverty rate, school level, principal salary, and student enrollment shared a significant relationship with principal resilience. This study used a questionnaire to measure participants’ levels of resiliency, job satisfaction, and work commitment. The survey consisted of three research-based, established psychometric tools: 1) the abbreviated Connor-Davidson Resilience Scale (CD-RISC 10) (Connor & Davidson, 2003); 2) Brayfield-Rothe Job Satisfaction Index (JSI) (Brayfield & Rothe, 1951); and 3) Three-Component Model (TCM) of commitment (Meyer & Allen, 1991). viii An analysis of 627 surveys completed by public school principals from the state of Florida revealed that years of experience, school location, school poverty rate, school level, principal salary, and student enrollment shared no significant relationship with principal resilience. However, results from this empirical study indicated that there was a significant relationship between job satisfaction and resiliency for principals as well as a significant relationship between affective work commitment and resiliency.
Design of a cooperative voltage harmonic compensation strategy for islanded microgrids combining virtual admittance and repetitive controller

Non-linear loads (NLLs) in three-phase systems are known to produce current harmonics at −5, 7, −11, 13… times the fundamental frequency; harmonics of the same frequencies are induced in microgrid voltage, reducing therefore the power quality. Dedicated equipment like active power filters can be used to compensate the microgrid harmonics; alternatively, each distributed generation (DG) unit present in the microgrid can be potentially used to compensate for those harmonics. The use of the virtual admittance concept combined with a PI-RES control structure has been recently proposed as a harmonic compensation sharing strategy when multiple DGs operate in parallel. The drawback of this methodology is that a large number of RES controllers might be required to compensate for all harmonic components induced by NLLs. This paper proposes the combined use of virtual admittance control loop and repetitive controller (RC) for harmonic compensation. The main advantage of the proposed method is that only one RC is required to compensate for all the harmonic components, significantly reducing the computational burden and the design complexity.
Dynamic PET Denoising with HYPR Processing

HighlY constrained backPRojection (HYPR) is a promising image-processing strategy with widespread application in time-resolved MRI that is also well suited for PET applications requiring time series data. The HYPR technique involves the creation of a composite image from the entire time series. The individual time frames then provide the basis for weighting matrices of the composite. The signal-to-noise ratio (SNR) of the individual time frames can be dramatically improved using the high SNR of the composite image. In this study, we introduced the modified HYPR algorithm (the HYPR method constraining the backprojections to local regions of interest [HYPR-LR]) for the processing of dynamic PET studies. We demonstrated the performance of HYPR-LR in phantom, small-animal, and human studies using qualitative, semiquantitative, and quantitative comparisons. The results demonstrate that significant improvements in SNR can be realized in the PET time series, particularly for voxel-based analysis, without sacrificing spatial resolution. HYPR-LR processing holds great potential in nuclear medicine imaging for all applications with low SNR in dynamic scans, including for the generation of voxel-based parametric images and visualization of rapid radiotracer uptake and distribution.
Things are not always what they seem

Purpose – The purpose of this paper is to illuminate the question ”given all that we know about knowledge transfer in organizations, why do problems persist? ” This is achieved by examining the challenges confronting organizations in developing an effective knowledge transfer strategy.Design/methodology/approach – A questionnaire was administered to a Fortune 500 company actively engaged in pursuing a knowledge management strategy that emphasizes intra‐organizational knowledge transfer. Data were analyzed using a hierarchical regression to assess the relative importance of reputation, culture, and incentives to organizational efforts at knowledge transfer.Findings – It was found that culture and reputation have significant positive effects on knowledge transfer. However, the study found no support for the role of incentives. The findings lend credence to the notion that knowledge transfer is a social activity in which employees must willingly engage and is one that cannot be incentivized.Research limitatio.
Social work students, self-care, compassion fatigue, and burnout

This thesis examined the impact of self-care, compassion fatigue and burnout on social work students, measured their prevalence and effects, identified their predictors, and attempted to identify more complete methods of addressing them. This was achieved through the use of the Self-Care Assessment, the Professional Quality of Life-IV (ProQOL-IV) survey, and the Maslach Burnout Inventory Human Services Survey (MBI-HSS). A total of seven research questions were examined statistically, to include: the most common methods of self-care employed, the overall levels of compassion fatigue, the overall levels of burnout, student demographic variables' prediction of the subscales of the ProQOL-IV, student demographic variables' prediction of the subscales of the MBI-HSS, the Self-Care Assessment subscales' prediction of the subscales of the ProQOL-IV, and the Self-Care Assessment subscales' prediction of the MBI-HSS for social work students in field internship placements. Questionnaires were sent out electronically, with a response rate of 39 students in field internship practicum placements. The results indicated that students most often attend to keeping their workplace and professional lives in order while placing less emphasis on their psychological and emotional needs. Additionally, students struggled for balance between their work and personal lives, with personal achievement proving to be tied to grade point average. Results also indicated that overall, students are happy with their work in the helping profession; yet also experienced burnout. Striving to achieve a high grade point average proved to negatively impact student compassion satisfaction, as did student social work program. Discussion included suggestions for the building of student strengths and resilience through programming, curriculum, and resources in order to help students to develop a more complete understanding of themselves as social work practitioners in order to promote long-term health and career longevity
Fatigue, menopausal symptoms, and cognitive function in women after adjuvant chemotherapy for breast cancer: 1- and 2-year follow-up of a prospective controlled study.

PURPOSE We previously evaluated fatigue, menopausal symptoms, and cognitive dysfunction in patients receiving adjuvant therapy for breast cancer and matched healthy women. Here we report assessment of these women 1 and 2 years later. PATIENTS AND METHODS Patients without relapse and controls were evaluated by the Functional Assessment of Cancer Treatment-General Quality of Life questionnaire, with subscales for fatigue and endocrine symptoms, and by the High Sensitivity Cognitive Screen. RESULTS There were 104, 91, and 83 patients and 102, 81, and 81 controls assessed at baseline and at 1 and 2 years, respectively. Median Functional Assessment of Cancer Treatment-Fatigue scores (range, 0 to 52) for patients improved from 31 (on chemotherapy) to 43 and 45 at 1 and 2 years, respectively, but were stable in controls (46 to 48). Median Functional Assessment of Cancer Treatment-Endocrine Symptoms scores (range, 0 to 72) for patients improved from 57 (on chemotherapy) to 59 and 61 at 1 and 2 years, respectively, and were stable in controls (64 to 65). Differences between patients and controls remained significant for these scales. The incidence of moderate-severe cognitive dysfunction by the High Sensitivity Cognitive Screen decreased in patients from 16% (on chemotherapy) to 4.4% and 3.8% and in controls from 5% to 3.6% and 0% at 1 and 2 years, respectively. There were minimal differences between estrogen receptor-positive patients who started hormonal therapy (mainly tamoxifen) after chemotherapy and estrogen receptor-negative patients who did not. Differences in quality of life between patients and controls were significant only at baseline. CONCLUSION Fatigue, menopausal symptoms, and cognitive dysfunction are important adverse effects of chemotherapy that improve in most patients. Hormonal treatment has minimal impact on them.
Is Truth Perspectival in Science? Viability of Pragmatic Account of Scientific Truth for Mixed-Methods Research

This paper attempts to assess the viability of M. Frapolli’s pragmatic account of scientific truth in the context of moderately pluralistic view of research process. Mixed-methods approach, which embodies the moderately pluralistic view in the social sciences, combines various methods, i.e. quantitative and qualitative, within a single research process in order to cross-validate and integrate the results into a coherent answer to the initial problem. Prima facie the pragmatic account of scientific truth squares well with the pragmatic justification of the mixed-methods approach, addressing the objections on content incommensurability or meaning ambiguities. However, as I argue, the pragmatic account of truth may not be able to significantly contribute to resolve the problem of ‘institutionalized assertion of falsehood’, unless it will accommodate some form of moderately pluralistic view of the research process allowing for cross-validation of tentative assertion of the purported scientific truth.
Junctions, Pathways and Turning Points in Biographical Genesis of Right-Wing Extremism

This article adopts the hypothesis that the primary organizational structures of the family and immediate social environment play a decisive role in explaining the genesis of racist attitudes and behavioral disposition. Processes of upbringing and socialization are always to be un-derstood as products of active subjective interaction and thus to be reconstructed as such within the framework of social work research. In the context of the research this article is based on, it was of special interest to scrutinize the biographies of young people by analyzing junctions and relevant turning points on their pathways to right-wing extremism. This bio-graphical junctions and turning points are seen as timeframes where agency and biographical meaning gets evident and can be re-constructed. This method is supported by more recent findings which unanimously warn against relying on the results of socialization while neglecting that the acquisition of social disposition is a process which is highly individual in characteristic. To make the model of junctions and turning points understandable, the second half of this article discusses a generic case of a young man and his subjectively relevant meanings of becoming and being right-wing extremist.
The neuropeptide FMRF-amide decreases both the Ca2+ conductance and a cyclic 3',5'-adenosine monophosphate-dependent K+ conductance in identified molluscan neurons

The molluscan neuropeptide FMRF-amide (10 to 50 microM) decreases the duration of the Ca2+-dependent action potential recorded in the cell body of identified neurons of the snail Helix aspersa (cells D3 and E2). In these neurons, FMRF-amide evokes a decrease of the Ca2+ current resulting from a decrease in Ca2+ conductance. In another single neuron, cell E11, FMRF-amide, besides evoking a decrease of the Ca2+ conductance, induces a decrease of the S-current (Klein, M., J. S. Camardo, and E. R. Kandel (1982) Proc. Natl. Acad Sci. U. S. A. 79: 5713–5717), a K+ current controlled by cyclic AMP. However, in this E11 cell, FMRF-amide also evokes a decrease of the amplitude of the Ca2+ spike plateau. As discussed in the preceding paper (Paupardin-Tritsch, D., L. Colombaioni, P. Deterre, and H. M. Gerschenfeld (1985) J. Neurosci. 5: 2522–2532), it is suggested that these FRMF-amide-induced modulations of ionic conductances involved in the Ca2+-dependent spike recorded in these neuronal somata may intervene in processes of presynaptic inhibition and facilitation.
A Case Study of Incremental and Background Hybrid In-Memory Checkpointing

Future exascale computing systems will have high failure rates due to the sheer number of components present i n the system. A classic fault-tolerance technique used in tod ay’s supercomputers is a checkpoint-restart mechanism. Howeve r, traditional hard disk-based checkpointing techniques wil soon hit the scalability wall. Recently, many emerging non-volatile memory technologies , such as Phase-Change RAM (PCRAM), are becoming available and can replace disks with the superior latency and power characteristics. Previous research has demonstrated that taking checkpoints at multiple levels referred to ashybrid checkpointing and employing PCRAM for taking local checkpoints can dramatically reduce checkpoint overhead and has the potential to s cale beyond the exascale. In this work, we develop two prototypes to evaluate hybrid checkpointing. We find that, although global checkpointing is slow, by carefully scheduling checkpointoperations, we can hide its overhead using an extra checkpoint cop y maintained in the local PCRAM of each node. In addition, as local checkpointing gets faster, taking more frequent chec kpoints can help reduce the size of incremental checkpoints. Howeve r, in order to benefit from incremental checkpointing, the checkpoint interval has to be less than 10 seconds.
Rational Design of Analyte Channels of the Green Fluorescent Protein for Biosensor Applications

A novel solvent-exposed analyte channel, generated by F165G substitution, on the surface of green fluorescent protein (designated His6GFPuv/F165G) was successfully discovered by the aid of molecular modeling software (PyMOL) in conjunction with site-directed mutagenesis. Regarding the high predictive performance of PyMOL, two pore-containing mutants namely His6GFPuv/H148G and His6GFPuv/H148G/F165G were also revealed. The pore sizes of F165G, H148G, and the double mutant H148G/F165G were in the order of 4, 4.5 and 5.5 Å, respectively. These mutants were subjected to further investigation on the effect of small analytes (e.g. metal ions and hydrogen peroxide) as elucidated by fluorescence quenching experiments. Results revealed that the F165G mutant exhibited the highest metal sensitivity at physiological pH. Meanwhile, the other 2 mutants lacking histidine at position 148 had lower sensitivity against Zn2+ and Cu2+ than those of the template protein (His6GFPuv). Hence, a significant role of this histidine residue in mediating metal transfer toward the GFP chromophore was proposed and evidently demonstrated by testing in acidic condition. Results revealed that at pH 6.5 the order of metal sensitivity was found to be inverted whereby the H148G/F165G became the most sensitive mutant. The dissociation constants (Kd) to metal ions were in the order of 4.88×10-6 M, 16.67×10-6 M, 25×10-6 M, and 33.33×10-6 M for His6GFPuv/F165G, His6GFPuv, His6GFPuv/H148G/F165G and His6GFPuv/H148G, respectively. Sensitivity against hydrogen peroxide was in the order of H148G/F165G > H148G > F165G indicating the crucial role of pore diameters. However, it should be mentioned that H148G substitution caused a markedly decrease in pH- and thermo-stability. Taken together, our findings rendered the novel pore of GFP as formed by F165G substitution to be a high impact channel without adversely affecting the intrinsic fluorescent properties. This opens up a great potential of using F165G mutant in enhancing the sensitivity of GFP in future development of biosensors.
REPK: an analytical web server to select restriction endonucleases for terminal restriction fragment length polymorphism analysis

Terminal restriction fragment length polymorphism (T-RFLP) analysis is a widespread technique for rapidly fingerprinting microbial communities. Users of T-RFLP frequently overlook the resolving power of well-chosen restriction endonucleases and often fail to report how they chose their enzymes. REPK (Restriction Endonuclease Picker) assists in the rational choice of restriction endonucleases for T-RFLP by finding sets of four restriction endonucleases that together uniquely differentiate user-designated sequence groups. With REPK, users can provide their own sequences (of any gene, not just 16S rRNA), specify the taxonomic rank of interest and choose from a number of filtering options to further narrow down the enzyme selection. Bug tracking is provided, and the source code is open and accessible under the GNU Public License v.2, at http://code.google. com/p/repk. The web server is available without access restrictions at http://rocaplab.ocean. washington.edu/tools/repk.
Freeze-TCP: a true end-to-end TCP enhancement mechanism for mobile environments

Optimizing TCP (transport layer) for mobility has been researched extensively. We present a brief summary of existing results which indicates that most schemes require intermediaries (such as base stations) to monitor the TCP traffic and actively participate in flow control in order to enhance performance. Although these methods simulate end-to-end semantics, they do not comprise true end-to-end signaling. As a result, these techniques are not applicable when the IP payload is encrypted. For instance IPSEC, which is expected to be standard under IPv6, encrypts the entire IP payload making it impossible for intermediaries to monitor TCP traffic unless those entities are part of the security association. In addition, these schemes require changes (in the TCP/IP code) at intermediate nodes making it difficult for the mobile clients to inter-operate with the existing infrastructure. In this paper we explore the "freeze-TCP" mechanism which is a true end-to-end scheme and does not require the involvement of any intermediaries (such as base stations) for flow control. Furthermore, this scheme does not require any changes on the "sender side" or intermediate routers; changes in TCP code are restricted to the mobile client side, making it possible to fully inter-operate with the existing infrastructure. We then outline a method which integrates the best attributes of freeze-TCP and some existing solutions. Performance results highlight the importance of pro-active action/signaling by the mobile-host. The data indicate that in most cases, simply reacting to disconnections tends to yield lower performance than pro-active mechanisms such as freeze-TCP.
Snow White's heritage : gender, social roles and alcohol use

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Global Kinetic Analysis of Mammalian E3 Reveals pH-dependent NAD+/NADH Regulation, Physiological Kinetic Reversibility, and Catalytic Optimum*

Mammalian E3 is an essential mitochondrial enzyme responsible for catalyzing the terminal reaction in the oxidative catabolism of several metabolites. E3 is a key regulator of metabolic fuel selection as a component of the pyruvate dehydrogenase complex (PDHc). E3 regulates PDHc activity by altering the affinity of pyruvate dehydrogenase kinase, an inhibitor of the enzyme complex, through changes in reduction and acetylation state of lipoamide moieties set by the NAD+/NADH ratio. Thus, an accurate kinetic model of E3 is needed to predict overall mammalian PDHc activity. Here, we have combined numerous literature data sets and new equilibrium spectroscopic experiments with a multitude of independently collected forward and reverse steady-state kinetic assays using pig heart E3. The latter kinetic assays demonstrate a pH-dependent transition of NAD+ activation to inhibition, shown here, to our knowledge, for the first time in a single consistent data set. Experimental data were analyzed to yield a thermodynamically constrained four-redox-state model of E3 that simulates pH-dependent activation/inhibition and active site redox states for various conditions. The developed model was used to determine substrate/product conditions that give maximal E3 rates and show that, due to non-Michaelis-Menten behavior, the maximal flux is different compared with the classically defined kcat.
Matched direction detectors and estimators for array processing with subspace steering vector uncertainties

In this paper, we consider the problem of estimating and detecting a signal whose associated spatial signature is known to lie in a given linear subspace but whose coordinates in this subspace are otherwise unknown, in the presence of subspace interference and broad-band noise. This situation arises when, on one hand, there exist uncertainties about the steering vector but, on the other hand, some knowledge about the steering vector errors is available. First, we derive the maximum-likelihood estimator (MLE) for the problem and compute the corresponding Crame/spl acute/r-Rao bound. Next, the maximum-likelihood estimates are used to derive a generalized likelihood ratio test (GLRT). The GLRT is compared and contrasted with the standard matched subspace detectors. The performances of the estimators and detectors are illustrated by means of numerical simulations.
External Cameras and a Mobile Robot for Enhanced Multi-person Tracking

In this paper, we present a cooperative multi-person tracking system between external fixed-view wall mounted cameras and a mobile robot. The proposed system fuses visual detections from the external cameras and laser based detections from a mobile robot, in a centralized manner, employing a "tracking-by-detection" approach within a Particle Filtering scheme. The enhanced multi-person tracker's ability to track targets in the surveilled area distinctively is demonstrated through quantitative experiments.