Miracle-dz/UniFAR-FTUs huggingface dataset:
Work ability in young adults

Young adults may need special attention in their shift from student life to working life, to guarantee work ability. Being new at the workplace, they may encounter high expectations, resulting in high job demands. Also, they can expect to have a long working life and therefore need to have good work ability when entering the labor market. The overall aim of this thesis is to understand work ability in young adults. Two prospective studies, one cross-sectional and one qualitative study, were included in the thesis. Young workers were examined using questionnaires and individual interviews, and students were investigated using questionnaires. The results showed that workers 25–30 years old experienced work ability as complex and as one’s own responsibility. To be alert and have energy, to possess sufficient education, skills, and working life experience and to experience meaningfulness and engagement in work were perceived to be fundamental for work ability. Work circumstances and private life could reduce or improve work ability. Similarly, changes in the job control and in the negative influence of job demands on one’s private life could reduce or improve work ability, and increased social support at work could improve work ability, among workers 21–25 years old. Opportunities for recovery at work, such as having varied work, were found to be associated with excellent work ability for male workers aged 18–29 years. Finally, widespread and long-lasting symptoms were established as possible risk factors for generally reduced productivity due to musculoskeletal pain or ache among students 18–25 years old. In sum, work ability can be seen as one’s own responsibility and complex, including, besides occupational factors, private life, and work–life balance. Having varied work could promote excellent work ability for young men, while widespread and long-lasting musculoskeletal symptoms can reduce general productivity. This thesis can be used as a basis for prevention and promotion programs of work ability, including adapted introductory education and mentorship for young adults.
Coronary Flow Reserve of the Non-Ischemia Related Coronary Artery During Dobutamine Stress Echocardiography

Background Incorporation of analysis of coronary velocities in stress studies adds diagnostic value to both clinical variables and dobutamine echocardiography. Micorcirculatory abnormalities may precede obstructive corornary disease. Therefore the aim of this study was to assess Doppler derived coronary velocity and flow of the left anterior descending coronary artery (LAD) during dobutamine stress echocardiography (DSE) in patients without LAD-related ischemia. Methods Sixty nine patients with chest pain underwent DSE studies to evaluate myocardial ischemia. All had trans-thoracic Doppler interrogation of the distal LAD before and just after termination of the DSE. Coronary velocity reserves (CFR) were calculated as the ratios of post-DSE/baseline diastolic velocities. Volumetric flow in the distal LAD was calculated from the diameter of LAD color jet and velocity integral. Volumetric flow reserve was calculated as the ratio of post-DSE baseline LAD flows. Results At rest all subjects had left ventricular wall motion score index (WMSI) = 1, while in 28, wall motion abnormality appeared in non-LAD territory with WMSI = 1.17 ± 0.08. Peak diastolic velocity after DSE increased form 28.5 ± 13.6 to 52.4 ± 23.7 cm/sec, P = 9.5 × 10-11, and velocity-CFR was 2.08 ± 0.7. Diastolic LAD flow increased from 36.5 ± 23.8 to 75.75 ± 48.7 mL/min, P = 1.21 × 10-7 and volumetric-CFR was 2.6 ± 2.8. Peak diastolic velocity-CFR in patients without LV wall motion abnormality was 2.4 ± 0.7 while in those with motion abnormality 1.77 ± 0.56, P = 0.00008. Flow-derived LAD-CFR was 3.3 ± 3.7 in those without compared to 1.88 ± 0.57 in patients with wall motion abnormality, P < 0.05. Conclusion LAD velocity and flow reserves are reduced in patients with remote myocardial ischemia, which may indicate early atherosclerotic involvement.
Efficacy of the neurokinin‐1 receptor antagonist rolapitant in preventing nausea and vomiting in patients receiving carboplatin‐based chemotherapy

Rolapitant, a novel neurokinin‐1 receptor antagonist, provided effective protection against chemotherapy‐induced nausea and vomiting (CINV) in a randomized, double‐blind phase 3 trial of patients receiving moderately emetogenic chemotherapy or an anthracycline and cyclophosphamide regimen. The current analysis explored the efficacy and safety of rolapitant in preventing CINV in a subgroup of patients receiving carboplatin.
Handwritten Character Recognition in Ancient Manuscripts

The eigenface method is a technique that has been widely used for facial recognition algorithms. The method relies on the use of a one-dimensional Singular Value Decomposition (SVD), but recently it has been argued that a two dimensional SVD would be more effective. In this study, both methods were applied to a handwritten character recognition problem. The two methods yielded similar accuracy rates, but in some applications the two-dimensional SVD may offer some computational advantages.
"I don't feel like a Genius": David Foster Wallace, Trickle-Down Aesthetics, and the MacArthur Foundation

Abstract:Considering the novels and essays of David Foster Wallace alongside the history of the MacArthur Foundation offers a methodology for analyzing the effects of institutional philanthropy on American literature. The receipt of a MacArthur "Genius" grant after the publication of Infinite Jest catalyzed Wallace's thinking about the relationship between the individual artist and the institutions of American modernity. Wallace was ambivalent about institutions, which seemed to enclose and stifle the free play of creativity, yet open up sites of social engagement and world-making. Counter the MacArthur's neoliberal philanthropic ideology of "trickle-down aesthetics," Wallace sought to move beyond both romantic geniusworship and ironic critique by re-imagining the relationship between institutions and individuals. In The Pale King and his essays in the '00s, Wallace depicts a synthesis between individual and collectivity with the pragmatic recognition that, in the conditions of modernity, institutions are vehicles to help individuals overcome isolation and build community.
Overview of cognitive visualisation

Since the beginning of mankind, there has been a need to display knowledge in such a way that it could be easily understood. In today's highly technological world we face an overwhelming amount of information from a variety of sources, namely: business applications such as customer comments and communications, trade publications, internal research reports and competitor web sites. Most of this knowledge is stored in textual format so in order to conceptually visualize this information, we need to extract the knowledge it contains and then try to comprehend it. However, one of the characteristics of textual information is its unstructured format which is not readily assimilated and understood. This paper presents a summary of current techniques used in information visualization. We present some of the main visual text analytics systems, highlighting their techniques, in addition to providing a brief overview of visual text analytics, semantic analysis of text and ontology that could be used to facilitate the process of cognitive visualization.
A Thermodynamic Framework for Damage Mechanics of Solder Joints

Damage mechanics describes the degradation process that takes place in materials and structures. Traditionally, Coffin–Manson type empirical curves are used to determine the fatigue life. Damage mechanics allows us to determine the fatigue life without the need for empirical curves. The main problem in damage mechanics has always been a lack of universally agreed upon definition of a damage metric. In this paper a damage metric based on the second law of thermodynamics and statistical mechanics is presented. The proposed thermodynamic framework treats a solid body as a thermodynamic system and requires that the entropy production be nonnegative. Verification of the damage model has been performed by extensive comparisons with laboratory test data of low cycle fatigue of Pb40/Sn60 solder alloy.
Image Denoising Using Shearlet Transform and Nonlinear Diffusion

In this paper, we present a new image denoising method for removing Gaussian noise from corrupted image by using shearlet transform and nonlinear diffusion. The image is decomposed by the shearlet transform to obtain the shearlet coefficients in each subband; then a diffusion scheme based on statistical property of shearlet coefficients is used to shrink noisy shearlet coefficients. The test shows the proposed method has better performance compared to the relevant methods.
Algorithms for computing network coding rate regions via single element extensions of matroids

We propose algorithms for finding extreme rays of rate regions achievable with vector linear codes over finite fields Fq, q ∈ {2, 3, 4} for which there are known forbidden minors for matroid representability. We use the idea of single element extensions (SEEs) of matroids and enumeration of non-isomorphic matroids using SEEs, to first propose an algorithm to obtain lists of all non-isomorphic matroids representable over a given finite field.We modify this algorithm to produce only the list of all non-isomorphic connected matroids representable over the given finite field. We then integrate the process of testing which matroids in a list of matroids form valid linear network codes for a given network within matroid enumeration. We name this algorithm, which essentially builds all matroids that form valid network codes for a given network from scratch, as network-constrained matroid enumeration.
On the application of minimum phase space volume parameter estimation

In this paper, we consider the influence of high dimensional noise process on the accuracy of signal parameter estimation in low dimensional chaotic noise. Because of the inherently deterministic nature of the chaotic signal, instead of conventional probabilistic methods, a complexity measure based on phase space volume (PSV) of the reconstructed attractor is used to identify unknown system parameters. It was shown that through minimization of PSV a very effective system identification procedure could be achieved. This procedure however relies upon the fact that PSV of the chaotic process is negligible for embedding dimensions higher than the true dimension of the chaotic attractor, therefore any additional high dimensional noise degrades the estimation accuracy. Monte Carlo simulations are carried out to illustrate the efficiency of the minimum PSV method for parameter estimation in the presence of high dimensional noise. To reduce the optimization complexity a kd-tree search algorithm was used which takes only order Nlog(N) operations.
Prediction of P53 Mutants (Multiple Sites) Transcriptional Activity Based on Structural (2D&3D) Properties

Prediction of secondary site mutations that reinstate mutated p53 to normalcy has been the focus of intense research in the recent past owing to the fact that p53 mutants have been implicated in more than half of all human cancers and restoration of p53 causes tumor regression. However laboratory investigations are more often laborious and resource intensive but computational techniques could well surmount these drawbacks. In view of this, we formulated a novel approach utilizing computational techniques to predict the transcriptional activity of multiple site (one-site to five-site) p53 mutants. The optimal MCC obtained by the proposed approach on prediction of one-site, two-site, three-site, four-site and five-site mutants were 0.775,0.341,0.784,0.916 and 0.655 respectively, the highest reported thus far in literature. We have also demonstrated that 2D and 3D features generate higher prediction accuracy of p53 activity and our findings revealed the optimal results for prediction of p53 status, reported till date. We believe detection of the secondary site mutations that suppress tumor growth may facilitate better understanding of the relationship between p53 structure and function and further knowledge on the molecular mechanisms and biological activity of p53, a targeted source for cancer therapy. We expect that our prediction methods and reported results may provide useful insights on p53 functional mechanisms and generate more avenues for utilizing computational techniques in biological data analysis.
Path Oriented DEcision Making ( PODEM )

Automatic-test-pattern generation algorithms generate circuit test patterns, can identify redundant circuit logic and compare various circuit implementations. Functional test is impractical for larger circuits and E-beam testing was very expensive. To overcome the above said difficulties structural test is used. D algorithm was proposed for pattern generation but this algorithm proved to be highly ineffective for faults which needed multiple paths to be sensitized simultaneously. To overcome this inefficiency PODEM was introduced. PODEM expanded the binary decision tree around primary input variables only, thus accelerating the algorithm. PODEM algorithm had a subroutine to check the existence of D-frontier. If not, PODEM backtracks immediately, thus speeding up the process. Backtracing is an important method introduced by Goel in PODEM.
Internal Control Disclosure and Cost of Capital: An Empirical Study from Shanghai Stock Market in Fiscal Year of 2008

This paper examined cost of capital reactions to management's evaluations of internal control and audit opinions on reports of internal control which based on samples of 2008 Chinese Shanghai Stock market, the results have shown that, those companies who disclosed positive internal control or clean audit opinions on reports of internal control will bear lower cost of capital, compared with the companies those who have shown negative actions on internal control disclosing or negative audit opinions on internal control reports after controlling for other independent variables. Overall, the result of our cross-sectional test is consistent with good internal control will be valued by capital market.
${\rm HfCo}_{7}$-Based Rare-Earth-Free Permanent-Magnet Alloys

This study presents the structural and magnetic properties of melt-spun HfCo<sub>7</sub>,HfCo<sub>7-x</sub>Fe<sub>x</sub> (0.25 ≤ × ≤ 1) and HfCo<sub>7</sub>Si<sub>x</sub>(0.2 ≤ × ≤1.2) alloys. Appreciable permanent-magnet properties with a magnetocrystalline anisotropy of about 9.6-16.5 Mergs/cm<sup>3</sup>, a magnetic polarization J<sub>s</sub> ≈ 7.2-10.6 kG, and coercivities H<sub>c</sub> = 0.5-3.0 kOe were obtained by varying the composition of these alloys. Structural analysis reveals that the positions of x-ray diffraction peaks of HfCo<sub>7</sub> show good agreement with those corresponding to an orthorhombic structure having lattice parameters of about α = 4.719 Å, b = 4.278 Å, and c = 8.070 Å. Based on these results, a model crystal structure for HfCo<sub>7</sub> is developed and used to estimate the magnetic properties of HfCo<sub>7</sub> using density-functional calculations, which agree with the experimental results.
P2Y2 receptor knock-out mice display normal NaCl absorption in medullary thick ascending limb

Local purinergic signals modulate renal tubular transport. Acute activation of renal epithelial P2 receptors causes inhibition of epithelial transport and thus, should favor increased water and salt excretion by the kidney. So far only a few studies have addressed the effects of extracellular nucleotides on ion transport in the thick ascending limb (TAL). In the medullary thick ascending limb (mTAL), basolateral P2X receptors markedly (~25%) inhibit NaCl absorption. Although this segment does express both apical and basolateral P2Y2 receptors, acute activation of the basolateral P2Y2 receptors had no apparent effect on transepithelial ion transport. Here we studied, if the absence of the P2Y2 receptor causes chronic alterations in mTAL NaCl absorption by comparing basal and AVP-stimulated transepithelial transport rates. We used perfused mouse mTALs to electrically measure NaCl absorption in juvenile (<35 days) and adult (>35 days) male mice. Using microelectrodes, we determined the transepithelial voltage (Vte) and the transepithelial resistance (Rte) and thus, transepithelial NaCl absorption (equivalent short circuit current, I'sc). We find that mTALs from adult wild type (WT) mice have significantly lower NaCl absorption rates when compared to mTALs from juvenile WT mice. This could be attributed to significantly higher Rtevalues in mTALs from adult WT mice. This pattern was not observed in mTALs from P2Y2 receptor knockout (KO) mice. In addition, adult P2Y2 receptor KO mTALs have significantly lower Vtevalues compared to the juvenile. No difference in absolute I'sc was observed when comparing mTALs from WT and KO mice. AVP stimulated the mTALs to similar increases of NaCl absorption irrespective of the absence of the P2Y2 receptor. No difference was observed in the medullary expression level of NKCC2 in between the genotypes. These data indicate that the lack of P2Y2 receptors does not cause substantial differences in resting and AVP-stimulated NaCl absorption in mouse mTAL.
Rural School Food Service Director Perceptions on Voluntary School Meal Reforms

This mixed-method study examined rural U.S. food service directors’ perceptions of and experiences with voluntary school meal programs, which have the potential to improve school nutrition but have not been widely adopted in rural areas of the United States. Little is known about how rural food service directors perceive these programs. Interview and survey instruments examined how rural food service directors characterize barriers and facilitators to participation in voluntary school meal programs like farm-to-school and school garden programs. Rural school food service directors participated in a semistructured telephone interview (n=67) and an online survey (n=57). We defined rural school districts by the most rural locale codes (as categorized by the National Center for Education Statistics) in a midsized Midwestern state. Quantitative data were analyzed using descriptive statistics. We analyzed qualitative responses using thematic coding. The qualitative analysis revealed that directors had little experience with these programs and perceived these programs to be very challenging to implement. Issues common to rural school districts were a very small staff, lack of concrete knowledge about how these programs work, and lack of access to local producers and chefs. These findings underscore a * Corresponding author: Dr. Natoshia M. Askelson, Assistant Professor, Community & Behavioral Health, University of Iowa; natoshia-askelson@uiowa.edu b Dr. Disa Lubker Cornish, Assistant Professor, Health Promotion & Education, University of Northern Iowa; disa.cornish@uni.edu c Elizabeth Golembiewski, Research Assistant, Public Policy Center, University of Iowa; elizabethgolembiewski@uiowa.edu Journal of Agriculture, Food Systems, and Community Development ISSN: 2152-0801 online www.AgDevJournal. com 66 Volume 6, Issue 1 / Fall 2015 the need to consider the unique situation of rural schools when promoting voluntary school meals reform programs. We make recommendations about adopting and adapting these voluntary programs to better fit the reality of rural areas.
On the Complexity of Sorted Neighborhood

Record linkage concerns identifying semantically equivalent records in databases. Blocking methods are employed to avoid the cost of full pairwise similarity comparisons on $n$ records. In a seminal work, Hernandez and Stolfo proposed the Sorted Neighborhood blocking method. Several empirical variants have been proposed in recent years. In this paper, we investigate the complexity of the Sorted Neighborhood procedure on which the variants are built. We show that achieving maximum performance on the Sorted Neighborhood procedure entails solving a sub-problem, which is shown to be NP-complete by reducing from the Travelling Salesman Problem. We also show that the sub-problem can occur in the traditional blocking method. Finally, we draw on recent developments concerning approximate Travelling Salesman solutions to define and analyze three approximation algorithms.
Academic papers evaluation software

Mastering academic English is crucial for both academicians and students functioning in English speaking environment. However, getting the command of the language at the advanced level might be a long and a painful process. Creating software providing analysis of academic English can play an important role in addressing the issues of linguistic analysis of academic discourse as well as in teaching English for academic purposes. The paper describes the results of development and implementation of the special software to analyse academic texts. Categories are suggested for identifying most important features of academic discourse.
Composite Module Analyst: a fitness-based tool for identification of transcription factor binding site combinations

MOTIVATION Functionally related genes involved in the same molecular-genetic, biochemical or physiological process are often regulated coordinately. Such regulation is provided by precisely organized binding of a multiplicity of special proteins [transcription factors (TFs)] to their target sites (cis-elements) in regulatory regions of genes. Cis-element combinations provide a structural basis for the generation of unique patterns of gene expression. RESULTS Here we present a new approach for defining promoter models based on the composition of TF binding sites and their pairs. We utilize a multicomponent fitness function for selection of the promoter model that fits best to the observed gene expression profile. We demonstrate examples of successful application of the fitness function with the help of a genetic algorithm for the analysis of functionally related or co-expressed genes as well as testing on simulated and permutated data. AVAILABILITY The CMA program is freely available for non-commercial users. URL http://www.gene-regulation.com/pub/programs.html#CMAnalyst. It is also a part of the commercial system ExPlain (www.biobase.de) designed for causal analysis of gene expression data.