Miracle-dz/UniFAR-FTUs huggingface dataset:
Barriers experienced by Asians in accessing injury-related services and compensations.

INTRODUCTION The Accident Compensation Corporation (ACC) administers New Zealand's (NZ) accident compensation scheme. Asians in NZ are apparently under-serviced by ACC and may be experiencing barriers to accessing services. This study identifies barriers that Asians in NZ face in accessing ACC's injury-related services and compensations. METHODS By utilising a qualitative research design, 113 Chinese, Korean, Indian, and South East Asian participants residing in Auckland, NZ were recruited through maximum variation and purposive snowball sampling. Data were gathered during 2006 through 22 individual in-depth interviews and 14 focus group discussions based on semi-structured interview schedules. Interviewees included Asian general practitioners, traditional health providers, users and non-users of injury-related services, case managers and Asian community leaders. Data were analysed using a general inductive approach. FINDINGS Results show that personal/cultural characteristics such as age, gender, English language competence, injury-related language competence, differing Asian worldviews, and consequent help-seeking behaviours act as barriers to accessing services and entitlements. This is exacerbated by logistical and environmental factors such as cost, transport, time, inadequate interpretation and translation services, as well as institutional barriers such as lack of information about services, culturally inappropriate services, discriminatory attitudes and employment risks. CONCLUSION It is evident that Asians living in NZ are experiencing several cultural, environmental and institutional barriers to accessing ACC services. There is clearly a need for more culturally relevant information and injury-related services if Asian immigrants' use of such services and entitlements is to be increased.
Support Vector Machines Trained with Evolutionary Algorithms Employing Kernel Adatron for Large Scale Classification of Protein Structures

With the increasing power of computers, the amount of data that can be processed in small periods of time has grown exponentially, as has the importance of classifying large-scale data efficiently. Support vector machines have shown good results classifying large amounts of high-dimensional data, such as data generated by protein structure prediction, spam recognition, medical diagnosis, optical character recognition and text classiffication, etc. Most state of the art approaches for large-scale learning use traditional optimization methods, such as quadratic programming or gradient descent, which makes the use of evolutionary algorithms for training support vector machines an area to be explored. The present paper proposes an approach that is simple to implement based on evolutionary algorithms and Kernel-Adatron for solving large-scale classiffication problems, focusing on protein structure prediction. The functional properties of proteins depend upon their three-dimensional structures. Knowing the structures of proteins is crucial for biology and can lead to improvements in areas such as medicine, agriculture and biofuels.
The fence and picket structure of the plasma membrane of live cells as revealed by single molecule techniques (Review)

Models of the organization of the plasma membrane of live cells as discovered through diffusion measurements of integral membrane molecules (transmembrane and GPI-anchored proteins, and lipid) at the single molecule level are discussed. Diffusion of transmembrane protein and, indeed, even lipid is anomalous in that the molecules tend to diffuse freely in limited size compartments, with infrequent intercompartment transitions. This average residency time in a compartment is dependent on the diffusing species and on its state of oligomerization, becoming completely confined to a single compartment upon sufficient oligomerization. This will be of great importance in determining cellular mechanisms for controlling the random diffusive motion of membrane molecules and in understanding signalling processes.
Confirmatory Factor Analysis of the Generalized Self-Efficacy Scale in Brazil and Portugal

Abstract This study aims to evaluate the construct validity, internal consistency and cross-cultural invariance of the Generalized Self-Efficacy Scale-Portuguese version (GSE) in a Brazilian and Portuguese sample. The GSE is composed of 10 items, designed to parsimoniously and comprehensively assess self-efficacy beliefs to deal with a wide range of stress-inducing situations. The construct validity (factorial, convergent and discriminant) and internal consistency of the instrument were established within a sample of 304 Portuguese adolescents (study 1) and a sample of 477 Brazilian adolescents (study 2). Then, the invariance of the GSE was tested in a sample of Brazilian adolescents (study 3), using Multigroup Confirmatory Factor Analysis (MGCFA). In the first two studies, the construct validity of the GSE was demonstrated in its three components and the reliability of the scales was confirmed based on satisfactory levels of internal consistency. In the third study, the cross-cultural invariance of the instrument was established. This work adds to previous research on generalized self-efficacy instruments, with good psychometric qualities. Moreover, comparisons can now be made with confidence using this instrument among adolescent samples from Portugal and Brazil.
Investment cost escalation – an overview of the literature and revised estimates

This article presents an overview of literature and previous estimates of defence specific investment cost escalation (ICE). ICE, the cost increase between two generations of a weapon system, can place a heavy strain on defence budgets if not properly accounted for. Previous literature specifically pinpoints the competition element as the main driver behind ICE. This article also discusses the role of technology and of supply and demand. Finally, we provide more recent estimates of ICE, using more sophisticated methods than those previously used. Results indicate that ICE estimates are reduced when changes in weapon system characteristics are accounted for.
Productivity and Economic Growth in U.S. Agriculture: A New Look

It is widely reported that productivity growth is the main contributor to economic growth in U.S. agriculture. This article provides estimates of economic growth since World War II and decomposes that growth into the contributions of input growth and productivity growth. The analysis is based on recently revised production accounts, now spanning the 1948–2013 period. Our findings are fully consistent with those reported in the literature; productivity growth dominates input growth as a source of economic growth in the agricultural sector.
Location of New Firms: Influence of Commuting Behaviour

In this paper, we analyse where people who become self-employed actually start their firms. In the entrepreneurship literature, it is generally assumed that individuals who start a firm start it where they live. We question this general assumption and show that this does not hold for commuters. Our results show that of those individuals that were short-distance commuters in 2007 and become self-employed in 2008, 90.1 percent started their firm in their work munici-pality. Only 9.4 percent started their firm in their residence municipality. For long-distance commuters, the figures were 93.6 and 6.4 percent, respectively. Our econometric estimations show that the probability to start a firm in the work municipality increases with the number of years as a commuter, with commuting to a larger municipality, and with the relative size of the work municipality compared to the municipality of residence. Our results indicate that the entrepreneurship literature must reconsider its general statement that individuals start firms where they live.
Identification of Neonatal Hearing Impairment: Transient Evoked Otoacoustic Emissions during the Perinatal Period

Objectives 1) To describe transient evoked otoacoustic emission (TEOAE) levels, noise levels and signal to noise ratios (SNRs) for a range of frequency bands in three groups of neonates who were tested as a part of the Identification of Neonatal Hearing Impairment multi-center consortium project. 2) To describe the relations between these TEOAE measurements and age, test environment, baby state, and test time. Design TEOAEs were measured in 4478 graduates of neonatal intensive care units (NICUs), 353 well babies with at least one risk indicator, and 2348 well babies without risk factors. TEOAE and noise levels were measured for frequency bands centered at 1.0, 1.5, 2.0, 3.0, and 4.0 kHz for a click stimulus level of 80 dB SPL. For those ears not meeting “passing” stopping criteria at 80 dB pSPL, a level of 86 dB pSPL was included. Measurement-based stopping rules were used such that a test did not terminate unless the response revealed a criterion SNR in four out of five frequency bands or no response occurred after a preset number of averages. Baby state, test environment, and other test factors were captured at the time of test. Results: TEOAE levels, noise levels and SNRs were similar for NICU graduates, well babies with risk factors and well babies without risk factors. There were no consistent differences in response quality as a function of test environment, i.e., private room, unit, open crib, nonworking isolette, or working isolette. Noise level varied little across risk group, test environment, or infant state other than crying, suggesting that the primary source of noise in TEOAE measurements is infant noise. The most significant effect on response quality was center frequency. Responses were difficult to measure in the half-octave band centered at 1.0 kHz, compared with higher frequencies. Reliable responses were measured routinely at frequencies of 1.5 kHz and higher. Conclusions TEOAEs are easily measured in both NICU graduates and well babies with and without risk factors for hearing loss in a wide variety of test environments. Given the difficulties encountered in making reliable measurements for a frequency band centered at 1.0 kHz, its inclusion in a screening program may not be justified.
Do Territorial Agglomerations Still Provide Competitive Advantages? A Study of Social Capital, Innovation, and Knowledge

The emergence of new technologies together with the process of globalization and global outsourcing raise a question mark over the potential advantages of locating in an industrial district. In this context, there is a clear need for new studies to investigate whether the district effect still exists in these new circumstances. We propose that the increased availability of social capital, knowledge, and innovation would justify the firms in industrial districts obtaining competitive advantages and, therefore, greater levels of performance over the rest of the companies in an industry, allowing us to explore why the district effect is maintained in the current circumstances. The development of this study, in the footwear industry in Spain, has allowed us to analyze the existence of significant differences between industrial district firms and firms outside industrial districts. The results obtained in our study show that agglomerated firms, that is, firms located within industrial districts, achieve a greater performance than firms outside the industrial districts. With this study, we contribute to a deeper analysis of the competitive differences arising from the district effect. On one hand, we analyze if the competitive advantages of companies located in the districts will reveal differences in the obtained performance—growth, profitability, innovation performance, and general performance. We also analyze three key competitive factors in the competitive dynamics of industrial districts, with particular attention to social capital. In this sense, we look separately at the three dimensions of social capital—structural, relational, and cognitive.
Breast imaging reporting and data system lexicon for US: interobserver agreement for assessment of breast masses.

PURPOSE To retrospectively evaluate the interobserver agreement of radiologists who used the Breast Imaging Reporting and Data System (BI-RADS) lexicon to characterize and categorize ultrasonographic (US) features of breast masses. MATERIALS AND METHODS No institutional review board approval or patient consent was required. Five breast radiologists retrospectively independently evaluated 267 breast masses (113 benign and 154 malignant masses in 267 patients) by using the BI-RADS US lexicon. Reviewers were blinded to mammographic images, medical history, and pathologic findings. Interobserver agreement was assessed with the Aickin revised kappa statistic. RESULTS Interobserver agreement varied from fair for evaluation of mass margins (kappa = 0.36) to moderate for evaluation of lesion boundary (kappa = 0.48), echo pattern (kappa = 0.58), and posterior acoustic features (kappa = 0.47) to substantial for evaluation of mass orientation (kappa = 0.70) and shape (kappa = 0.64). For small (< or =0.7 cm; n = 49) or malignant (n = 154) masses, low concordance was noted for margin descriptors (kappa = 0.30 and 0.28, respectively) and BI-RADS category (kappa = 0.21 and 0.26, respectively). Overall, only fair agreement was obtained for BI-RADS category (kappa = 0.30). Agreement for subdivisions 4a, 4b, and 4c of BI-RADS category 4 was fair (kappa = 0.33), fair (kappa = 0.32), and poor (kappa = 0.17), respectively. CONCLUSION Reproducibility of US BI-RADS terminology is good except for margin evaluation. A trend toward lower concordance was noted for the evaluation of small masses and malignant lesions. Classification into subdivisions 4a, 4b, and 4c was poorly reproducible.
Incentives and Income Distribution in Tenancy Relationships

I analyze a problem of partnership formation between heterogeneous principals and agents, where each partnership is subject to a moral-hazard problem. In a Walrasian equilibrium of the economy, wealthier agents work in more productive lands following a positively assortative matching pattern, since higher wealth has greater marginal effect in high-productivity lands. Consequently, the matches that consist of less wealthy agents are not able to implement the efficient effort and contracts. Agents' share of the match output is in general nonmonotone with respect to initial wealth. If wealth is more unequally distributed than land quality, then the equilibrium share (of the agents) is a monotonically increasing function of wealth.
Factors Driving Potential Ammonia Oxidation in Canadian Arctic Ecosystems: Does Spatial Scale Matter?

ABSTRACT Ammonia oxidation is a major process in nitrogen cycling, and it plays a key role in nitrogen limited soil ecosystems such as those in the arctic. Although mm-scale spatial dependency of ammonia oxidizers has been investigated, little is known about the field-scale spatial dependency of aerobic ammonia oxidation processes and ammonia-oxidizing archaeal and bacterial communities, particularly in arctic soils. The purpose of this study was to explore the drivers of ammonia oxidation at the field scale in cryosols (soils with permafrost within 1 m of the surface). We measured aerobic ammonia oxidation potential (both autotrophic and heterotrophic) and functional gene abundance (bacterial amoA and archaeal amoA) in 279 soil samples collected from three arctic ecosystems. The variability associated with quantifying genes was substantially less than the spatial variability observed in these soils, suggesting that molecular methods can be used reliably evaluate spatial dependency in arctic ecosystems. Ammonia-oxidizing archaeal and bacterial communities and aerobic ammonia oxidation were spatially autocorrelated. Gene abundances were spatially structured within 4 m, whereas biochemical processes were structured within 40 m. Ammonia oxidation was driven at small scales (<1m) by moisture and total organic carbon, whereas gene abundance and other edaphic factors drove ammonia oxidation at medium (1 to 10 m) and large (10 to 100 m) scales. In these arctic soils heterotrophs contributed between 29 and 47% of total ammonia oxidation potential. The spatial scale for aerobic ammonia oxidation genes differed from potential ammonia oxidation, suggesting that in arctic ecosystems edaphic, rather than genetic, factors are an important control on ammonia oxidation.
The effects of a culturally responsive professional development series on the attitudes and beliefs of teachers of diverse students in a Missouri suburban school district

Contrary to what supporters of the “No Child Left Behind” Act (P.L. 107-110, 2001) would have us believe about the effects of this legislation, the academic achievement gap between students of color and White students, and between economically disadvantaged students and students from higher socio-economic backgrounds is not closing. Given the demands and accountability standards required by NCLB legislation (P.L. 107-110, 2001), why aren’t we closing the achievement gap and making better progress? It is my supposition that a culturally responsive approach to
International marketing journals : a preliminary regional and institutional examination of research productivity

Contributions to marketing knowledge are becoming more global (Stremersch and Verhoef, 2005). This paper explores the issue of regional contribution to the international marketing area, which could be expected to be more global than other areas. Publications within four leading international marketing journals were reviewed over a five-year period (1999-2003). Findings suggested that approximately 50 percent of the works were authored by academics outside North America.
Expression of c-kit in Common Benign and Malignant Breast Lesions

Aims and background c-kit (CD117) is a transmembrane tyrosine kinase that acts as a type III receptor for mast cell growth factor. In recent years, the role of c-kit in the development of preinvasive and invasive breast carcinomas has been investigated. The aim of our study was to detect c-kit expression in the entire spectrum of common benign and malignant breast lesions in correlation with a well-studied myoepithelial or stem-cell like marker (p63). Methods and study design We evaluated 270 cases of benign and malignant breast lesions including fibrocystic disease, fibroadenoma, sclerosing adenosis, atypical ductal hyperplasia, ductal/lobular carcinoma in situ, and ductal/lobular/mixed type carcinoma. C-kit staining was evaluated in the cytoplasm/cell membrane in epithelial and myoepithelial cells and p63 in the nuclei of myoepithelial cells. Results c-kit was highly expressed (85.3%) in benign lesions (fibrocystic disease, sclerosing adenosis, fibroadenoma), and p63 expression was 95.5% in the aforementioned lesions. c-kit distribution in preinvasive and invasive lesions was as follows: ductal/lobular carcinoma in-situ, 43%/35%; ductal/lobular carcinoma, 36%/39%; and mixed type carcinoma, 20%. c-kit was highly expressed in myofibroblast/fibroblast cells only in grade III ductal/lobular carcinomas. c-kit was totally absent in stromal cells in benign lesions and in situ carcinomas whereas expression was weak in grade I and II carcinomas. Conclusions Combined overexpression of c-kit and p63 is indicative of benign breast lesions. In contrast, there is reduced expression of c-kit in in situ and invasive breast carcinomas, with simultaneous overexpression in the stromal cells. This suggests that c-kit may play a role in breast cancer progression. Free full text available at www.tumorionline. it
Solution structure of the DNA-binding domain of NtrC with three alanine substitutions.

The structure of the 20 kDa C-terminal DNA-binding domain of NtrC from Salmonella typhimurium (residues Asp380-Glu469) with alanine replacing Arg456, Asn457, and Arg461, was determined by NMR spectroscopy. NtrC is a homodimeric enhancer-binding protein that activates the transcription of genes whose products are required for nitrogen metabolism. The 91-residue C-terminal domain contains the determinants necessary for dimerization and DNA-binding of the full length protein. The mutant protein does not bind to DNA but retains many characteristics of the wild-type protein, and the mutant domain expresses at high yield (20 mg/l) in minimal medium. Three-dimensional (1)H/(13)C/(15)N triple-resonance, (1)H-(13)C-(13)C-(1)H correlation and (15)N-separated nuclear Overhauser effect (NOE) spectroscopy experiments were used to make backbone and side-chain (1)H,(15)N, and (13)C assignments. The structures were calculated using a total of 1580 intra and inter-monomer distance and hydrogen bond restraints (88 hydrogen bonds; 44 hydrogen bond restraints), and 88 phi dihedral restraints for residues Asp400 through Glu469 in both monomers. A total of 54 ambiguous restraints (intra or inter-monomer) involving residues close to the 2-fold symmetry axis were also included. Each monomer consists of four helical segments. Helices A (Trp402-Leu414) and B (Leu421-His440) join with those of another monomer to form an antiparallel four-helix bundle. Helices C (Gln446-Leu451) and D (Ala456-Met468) of each monomer adopt a classic helix-turn-helix DNA-binding fold at either end of the protein. The backbone rms deviation for the 28 best of 40 starting structures is 0.6 (+/-0.2) A. Structural differences between the C-terminal domain of NtrC and the homologous Factor for Inversion Stimulation are discussed.
Dispersal and gene flow in the rare, parasitic Large Blue butterfly Maculinea arion

Dispersal is crucial for gene flow and often determines the long‐term stability of meta‐populations, particularly in rare species with specialized life cycles. Such species are often foci of conservation efforts because they suffer disproportionally from degradation and fragmentation of their habitat. However, detailed knowledge of effective gene flow through dispersal is often missing, so that conservation strategies have to be based on mark–recapture observations that are suspected to be poor predictors of long‐distance dispersal. These constraints have been especially severe in the study of butterfly populations, where microsatellite markers have been difficult to develop. We used eight microsatellite markers to analyse genetic population structure of the Large Blue butterfly Maculinea arion in Sweden. During recent decades, this species has become an icon of insect conservation after massive decline throughout Europe and extinction in Britain followed by reintroduction of a seed population from the Swedish island of Öland. We find that populations are highly structured genetically, but that gene flow occurs over distances 15 times longer than the maximum distance recorded from mark–recapture studies, which can only be explained by maximum dispersal distances at least twice as large as previously accepted. However, we also find evidence that gaps between sites with suitable habitat exceeding ∼20 km induce genetic erosion that can be detected from bottleneck analyses. Although further work is needed, our results suggest that M. arion can maintain fully functional metapopulations when they consist of optimal habitat patches that are no further apart than ∼10 km.