Miracle-dz/UniFAR-FTUs huggingface dataset:
Initial Development and Validation of the Rural Competency Scale.

INITIAL DEVELOPMENT AND VALIDATION OF THE RURAL COMPETENCY SCALE Cassandra Gail Pusateri Old Dominion University, 2013 Dissertation Chair: Dr. Danica Hays Rurality is a term that can be used to describe rural residency and the cultural characteristics of rural individuals and areas. The counseling profession has increased its attention to culture with the development of the multicultural counseling competencies (Sue, Arredondo, & McDavis, 1992) and assessments designed to measure competency levels for providing services to diverse clientele (e.g., Kim, Cartwright, Asay, & D’Andrea, 2003; LaFromboise, Coleman, & Hernandez, 1991; Ponterotto, Gretchen, Utsey, Rieger, & Austin, 2002; Sodowsky, Taffe, Gutkin, & Wise, 1994). However, the commonly used definitions of culture as well as the instruments available to measure multicultural counseling competence do not take rurality into account. The counseling profession’s current initiatives to increase the presence of counselors in rural areas (National Board for Certified Counselors [NBCC], 2010) provide evidence of an increased focus on appropriate services for rural individuals. Therefore, the purpose of this study is the development and validation of the Rural Competency Scale (RCS), a scale designed to measure counselors’ competency levels for providing mental health services to rural individuals and/or in rural areas. Using an exploratory mixed methods design with sequential data collection (Creswell & Plano Clark, 2007), the scale was developed (i.e., content analysis, item development study, expert review, pilot study) and validation analyses were performed (i.e., exploratory factor, internal replication, reliability, and validity analyses). For this study, 379 counseling students and professionals completed an online survey packet consisting of the RCS, Multicultural Counseling Knowledge and Awareness Scale (MCKAS; Ponterotto et al., 2002), and a demographic information form. A four-factor model was determined to be the best model for the sample accounting for 31.11% of the total variance. Internal consistency estimates were acceptable for the RCS total scale (a = .87) as well as the Rural Awareness (a = .87), Social Desirability (a = .81), Rural Knowledge (a = .75), and Rural Skills (a = .8 6 ) subscales. Additionally, the RCS was significantly, positively correlated with the MCKAS (Ponterotto et al., 2002) supporting convergent validity. Although further validation analyses are needed, initial results support the use o f the RCS in measuring competency levels for providing mental health services in rural areas and/or to rural individuals.
Predictors for long‐term seizure outcome in juvenile myoclonic epilepsy: 25–63 years of follow‐up

Purpose: The long‐term seizure outcome of juvenile myoclonic epilepsy (JME) is still controversial; the value of factors that are potentially predictive for seizure outcome remains unclear. The aim of this study was both to investigate the long‐term seizure outcome in patients with JME after a follow‐up of at least 25 years and to identify factors that are predictive for the seizure outcome.
DNA barcoding discriminates echinoderm species

DNA barcode sequences (a 657‐bp segment of the mtDNA cytochrome oxidase I gene, COI) were collected from 191 species (503 specimens) of Echinodermata. All five classes were represented: Ophiuroidea, Asteroidea, Echinoidea, Holothuroidea and Crinoidea. About 30% of sequences were collected specifically for this study, the remainder came from GenBank. Fifty‐one species were represented by multiple samples, with a mean intraspecific divergence of 0.62%. Several possible instances of cryptic speciation were noted. Thirty‐two genera were represented by multiple species, with a mean congeneric divergence of 15.33%. One hundred and eighty‐seven of the 191 species (97.9%) could be distinguished by their COI barcodes. Those that could not were from the echinoid genus Amblypneustes. Neighbour‐joining trees of COI sequences generally showed low bootstrap support for anything other than shallow splits, although with very rare exceptions, members of the same class clustered together. Two ophiuran species, in both nucleotide and amino acid neighbour‐joining trees, grouped loosely as sister taxa to Crinoidea rather than Ophiuroidea; sequences of these two species appear to have evolved very quickly. Results suggest that DNA barcoding is likely to be an effective, accurate and useful method of species diagnosis for all five classes of Echinodermata.
A Survival-Adjusted Quantal-Response Test for Analysis of Tumor Incidence Rates in Animal Carcinogenicity Studies

In rodent cancer bioassays, groups of animals are exposed to different doses of a chemical of interest and followed for tumor occurrence. The resulting tumor rates are commonly analyzed using a survival-adjusted Cochran-Armitage (CA) trend test. The CA trend test has reasonable power when the tumor-response curve is linear in dose, but it may be underpowered for a nonlinear response. An alternative survival-adjusted test procedure based on isotonic regression methodology has previously been proposed. Although this alternative procedure performs well when the tumor response is nonlinear in dose, it has less power than the CA trend test when the response is linear in dose. Here, we introduce a new survival-adjusted test procedure that makes use of both the CA trend test and the isotonic regression-based trend test. Using a broad range of experimental conditions typical of National Toxicology Program (NTP) bioassays, we conducted extensive computer simulations to compare the false-positive error rate and power of the proposed procedure with the survival-adjusted CA trend test. The new procedure competes well with the survival-adjusted CA trend test when observed tumor rates are linear in dose and performs substantially better when observed tumor rates are nonlinear in dose. Further, the proposed trend test almost always has a smaller false-positive rate than does the survival-adjusted CA trend test. We also developed an order-restricted inference-based procedure for performing multiple pairwise comparisons between each of the dose groups and the control group. The trend test and the multiple pairwise comparisons test are demonstrated using an example from a study conducted by the NTP.
Survey non-response in an internet-mediated, longitudinal autism research study

OBJECTIVE To evaluate non-response rates to follow-up online surveys using a prospective cohort of parents raising at least one child with an autism spectrum disorder. A secondary objective was to investigate predictors of non-response over time. MATERIALS AND METHODS Data were collected from a US-based online research database, the Interactive Autism Network (IAN). A total of 19,497 youths, aged 1.9-19 years (mean 9 years, SD 3.94), were included in the present study. Response to three follow-up surveys, solicited from parents after baseline enrollment, served as the outcome measures. Multivariate binary logistic regression models were then used to examine predictors of non-response. RESULTS 31,216 survey instances were examined, of which 8772 or 28.1% were partly or completely responded to. Results from the multivariate model found non-response of baseline surveys (OR 28.0), years since enrollment in the online protocol (OR 2.06), and numerous sociodemographic characteristics were associated with non-response to follow-up surveys (all p<0.05). DISCUSSION Consistent with the current literature, response rates to online surveys were somewhat low. While many demographic characteristics were associated with non-response, time since registration and participation at baseline played the greatest role in predicting follow-up survey non-response. CONCLUSION An important hazard to the generalizability of findings from research is non-response bias; however, little is known about this problem in longitudinal internet-mediated research (IMR). This study sheds new light on important predictors of longitudinal response rates that should be considered before launching a prospective IMR study.
Still life with less: North Korean young adult defectors in South Korea show continued poor nutrition and physique

North Korean defectors who settle in South Korea have experienced severe food shortage and transition of food environment which could affect their health status. However, little is known about their anthropometric measurements and dietary intake after settlement in South Korea. The purpose of this study is to compare anthropometric measurements and dietary intake between North Korean young adults who defected to South Korea and those of South Koreans. We hypothesized that North Korean young adults' physiques and dietary intake would be poorer than that of South Koreans. We compared anthropometric measurements and dietary intake from 3-day food records in a cross-sectional study of 103 North Korean young adult defectors, aged 12 to 24 and 309 South Korean subjects. North Korean subjects were significantly shorter (4.9 to 10.8 cm) and lighter (6.0 to 12.5 kg) than the control group. Body mass index were significantly different between North and South Korean groups only in men. North Korean young adult defectors had lower mean daily intakes of energy and most nutrients and food groups compared to the control group, while North Korean subjects had higher nutrient density diet than that of South Koreans. The proportion of subjects who had dietary intakes of nutrients of less than the Estimated Average Requirement was higher in North Korean subjects than in controls except for in the cases of vitamin A and vitamin C. In conclusion, we recommend providing nutrition support programs for North Korean young adult defectors to secure adequate nutrient intake.
Fast spatio-temporal image reconstruction for dynamic PET

In tomographic imaging, dynamic images are typically obtained by reconstructing the frames of a time sequence independently, one by one. A disadvantage of this frame-by-frame reconstruction approach is that it fails to account. For temporal correlations in the signal. Ideally, one should treat the entire image sequence as a single spatio-temporal signal. However, the resulting reconstruction task becomes computationally intensive. Fortunately, as the authors show in this paper, the spatio-temporal reconstruction problem call be greatly simplified by first applying a temporal Karhunen-Loeve (KL) transformation to the imaging equation. The authors show that if the regularization operator is chosen to be separable into space and time components, penalized weighted least squares reconstruction of the entire image sequence is approximately equivalent to frame-by-frame reconstruction in the space-KL domain. By this approach, spatio-temporal reconstruction can be achieved at reasonable computational cost. One can achieve further computational savings by discarding high-order KL components to avoid reconstructing them. Performance of the method is demonstrated through statistical evaluations of the bias-variance tradeoff obtained by computer simulation reconstruction.
Spatiotemporal Data Mining: A Computational Perspective

Explosive growth in geospatial and temporal data as well as the emergence of new technologies emphasize the need for automated discovery of spatiotemporal knowledge. Spatiotemporal data mining studies the process of discovering interesting and previously unknown, but potentially useful patterns from large spatiotemporal databases. It has broad application domains including ecology and environmental management, public safety, transportation, earth science, epidemiology, and climatology. The complexity of spatiotemporal data and intrinsic relationships limits the usefulness of conventional data science techniques for extracting spatiotemporal patterns. In this survey, we review recent computational techniques and tools in spatiotemporal data mining, focusing on several major pattern families: spatiotemporal outlier, spatiotemporal coupling and tele-coupling, spatiotemporal prediction, spatiotemporal partitioning and summarization, spatiotemporal hotspots, and change detection. Compared with other surveys in the literature, this paper emphasizes the statistical foundations of spatiotemporal data mining and provides comprehensive coverage of computational approaches for various pattern families. ISPRS Int. J. Geo-Inf. 2015, 4 2307 We also list popular software tools for spatiotemporal data analysis. The survey concludes with a look at future research needs.
Stage‐dependent nigral neuronal loss in incidental Lewy body and Parkinson's disease

To gain a better understanding of the significance of α‐synuclein pathological conditions during disease progression in Parkinson's disease, we investigated whether 1) nigral neuronal loss in incidental Lewy body disease and Parkinson's disease donors is associated with the local burden α‐synuclein pathological conditions during progression of pathological conditions; 2) the burden and distribution of α‐synuclein pathological conditions are related to clinical measures of disease progression. Post‐mortem tissue and medical records of 24 Parkinson's disease patients, 20 incidental Lewy body disease donors, and 12 age‐matched controls were obtained from the Netherlands Brain Bank for morphometric analysis. We observed a 20% decrease in nigral neuronal cell density in incidental Lewy body disease compared with controls. Nigral neuronal loss (12%) was already observed before the appearance α‐synuclein aggregates. The progression from Braak α‐synuclein stage 3 to 4 was associated with a significant decline in neuronal cell density (46%). Nigral neuronal loss increased with later Braak α‐synuclein stages but did not vary across consecutive Braak α‐synuclein stages. We observed a negative correlation between neuronal density and local α‐synuclein burden in the substantia nigra of Parkinson's disease patients (ρ = −0.54), but no relationship with Hoehn & Yahr stage or disease duration. In conclusion, our findings cast doubt on the pathogenic role of α‐synuclein aggregates in elderly, but do suggest that the severity of neurodegeneration and local burden of α‐synuclein pathological conditions are closely coupled during disease progression in Parkinson's disease. © 2014 International Parkinson and Movement Disorder Society
Screening Some Medicinal Plant Extracts Against Alternaria sesami, the Causal Agent of Alternaria Leaf Spot of Sesame

Natural plant extracts / products have the potential as safe alternatives for chemical fungicides in plant disease management. Methanol and pure methanol:water (50:50 v/v) extracts of peppermint, lavandula, eucalyptus, datura and nettle were screened for their antifungal activity against Alternaria sesami, the causal agent of Alternaria leaf spot of sesame at 5, 10 and 15% concentrations in Shahrood Agricultural Research Center, Shahrood, Iran, during 2010. Poisoned food technique and spore germination assay were used to evaluate the antifungal potential of plant extracts against the pathogen. Fungicide mancozeb 80WP (0.2%) was used for better comparison. Results indicated that methanolic extracts of peppermint (15 and 10%), lavandula (15%) and eucalyptus (15%) were more effective than methanol: water extracts and completely inhibited the growth of the pathogen. Among tested extracts, methanolic extracts of peppermint (15%) and eucalyptus (15%) were best in preventing the spore germination of the pathogen (P =0.01).
On the capacity of non-uniform phase MIMO nakagami-m fading channels

This letter investigates the ergodic capacity of MIMO Nakagami-m fading channels with both uniformly and non-uniformly distributed phases. We first obtain a tight capacity upper bound for the channel and then derive exact expressions for the low signal-to-noise ratio (SNR) capacity metrics, based on which we examine the impact of fading parameter m on the capacity.
Noise Robust LVCSR feature extraction based on stabilized weighted linear prediction

In this paper, we evaluate a recently proposed spectral envelope estimation method, stabilized weighted linear prediction (SWLP), in the feature extraction stage of a large vocabulary continuous speech recognizer (LVCSR) system. Using speech recorded in real-world noisy environments, we compare recognition error rates obtained with SWLP to those given by the conventional spectrum estimation methods in feature extraction. We use large vocabulary speech that is simultaneously recorded using a headset, lavalier and a fixed medium-distance microphone. When the recognizer is trained using a multicondition training set the results do not differ significantly. However, when the models are trained with clean speech and evaluated in noisy environments, the SWLP models perform significantly better than the conventional MFCC in all environments and in all recording settings.
‘Career and Money Aside, What's the Point of University?’ A Comparison of Students’ Non‐economic Entry Motives in Three European Countries

This paper explores students’ non-economic motives for attending university. Drawing on the results of a tri-national survey involving online questionnaires and email interviews with education students at English, German and Portuguese universities, it compares and discusses the extent to which the participants are motivated by a number of extrinsic and intrinsic factors. In contrast to certain other studies, the findings reveal a strong consensus across all three settings in relation to certain motivational elements—strong intrinsic desires for self-improvement and low motivations driven by social pressures or seeing university as a default option. More pronounced national differences emerge, however, regarding motives to contribute to society and the appeal of the social dimension of university life. The paper interprets the similarities and differences revealed and considers a number of conclusions.
Mathematical modelling of solidification and melting: a review

The major methods of mathematical modelling of solidification and melting problems are reviewed in this paper. Different analytical methods, nowadays still used as standard references to validate numerical models, are presented. Various mathematical formulations to numerically solve solidification and melting problems are categorized. Relative merits and disadvantages of each formulation are analysed. Recent advances in modelling solidification and melting problems associated with convective motion of liquid phase are discussed. Based on this comprehensive survey, basic guidelines are outlined to choose a correct mathematical formulation for solving solidification and melting problems.
Smokers' Early E-cigarette Experiences, Reasons for Use, and Use Intentions.

OBJECTIVES This study examined the context of smokers' first e-cigarette experiences, reasons for trying e-cigarettes, not continuing their use, and future use intentions. METHODS We surveyed a nationally representative sample of 519 current cigarette smokers in the United States (classified as never, current, or former e-cigarette users/triers) in April 2014 about their e-cigarette experiences and use intentions. RESULTS Among ever e-cigarette users/triers, 43% purchased an e-cigarette on their own as their first method of trial. These respondents were more likely to have used e-cigarettes more times than those who first tried e-cigarettes from a friend. Positive perceptions about first experiences were significantly higher among current (34.5%) compared to former e-cigarette users/triers (17.9%). Few (8.7%) current e-cigarette users/triers had a negative first experience. Susceptibility to future e-cigarette use was significantly associated with e-cigarette use status, intention to quit smoking and satisfaction with first e-cigarette experience. Among those interested in e-cigarettes, 26.3% were more interested in trying an e-cigarette made by a major tobacco company and 31.8% in trying an e-cigarette that looked "similar" versus different (13.8%) than a real cigarette. CONCLUSIONS The context and perceptions of e-cigarette trial experiences, product quality, style and manufacturer may influence e-cigarette trial and use.
Portfolio Allocation Over the Life Cycle: Evidence from Swedish Household Data

This paper provides empirical evidence on life-cycle patterns in the asset allocation of Swedish households. Data on household portfolio allocation are collected from the HINK surveys for the period 1982-1992, and portfolio shares of different asset categories are regressed on age, period, and cohort dummies as well as socio-economic and demographic variables. There are evident differences in the age profiles for the demand of different assets. The fraction of "risky" financial assets follows a hump-shaped age profile, as does the share of total real assets. While the probability of ownership of "safe" financial assets increases over life, the weight in the portfolio has a U-shaped age pattern. This is also true for the fraction of total financial assets. Furthermore, there are differences in the asset allocation of different birth cohorts; the portfolio weight of real assets is relatively higher for the "baby-boom" generation, while younger generations are more prone to invest in "risky" financial assets.
Investigating the Improvement of Decoding Abilities and Working Memory in Children with Incremental or Entity Personal Conceptions of Intelligence: Two Case Reports

One of the most significant current discussions has led to the hypothesis that domain-specific training programs alone are not enough to improve reading achievement or working memory abilities. Incremental or Entity personal conceptions of intelligence may be assumed to be an important prognostic factor to overcome domain-specific deficits. Specifically, incremental students tend to be more oriented toward change and autonomy and are able to adopt more efficacious strategies. This study aims at examining the effect of personal conceptions of intelligence to strengthen the efficacy of a multidimensional intervention program in order to improve decoding abilities and working memory. Participants included two children (M age = 10 years) with developmental dyslexia and different conceptions of intelligence. The children were tested on a whole battery of reading and spelling tests commonly used in the assessment of reading disabilities in Italy. Afterwards, they were given a multimedia test to measure motivational factors such as conceptions of intelligence and achievement goals. The children took part in the T.I. R.D. Multimedia Training for the Rehabilitation of Dyslexia (Rappo and Pepi, 2010) reinforced by specific units to improve verbal working memory for 3 months. This training consisted of specific tasks to rehabilitate both visual and phonological strategies (sound blending, word segmentation, alliteration test and rhyme test, letter recognition, digraph recognition, trigraph recognition, and word recognition as samples of visual tasks) and verbal working memory (rapid words and non-words recognition). Posttest evaluations showed that the child holding the incremental theory of intelligence improved more than the child holding a static representation. On the whole this study highlights the importance of treatment programs in which both specificity of deficits and motivational factors are both taken into account. There is a need to plan multifaceted intervention programs based on a transverse approach, considering both cognitive and motivational factors.