Miracle-dz/UniFAR-FTUs huggingface dataset:
A comparative study on dietary behavior, nutritional knowledge and life stress between Korean and Chinese female high school students

BACKGROUND/OBJECTIVES Dietary behavior and life stress in adolescence is related to growth rate and learning ability. This study was conducted to identify the relations between dietary habits, dietary attitude nutritional knowledge and life stress among high school girls in Korea and China. SUBJECTS/METHODS The subjects of this study were 221 high school girls in Korea and 227 high school girls in China. The questionnaire were about dietary habits, dietary attitude, nutritional knowledge and life stress. RESULTS The dietary habits of chinese girls were healthier than those of Korean girls with a significant difference (P < .001). There was no significant difference in dietary attitude between Korean girls and Chinese girls. Korean girls had more nutritional knowledge than Chinese girls with a significant difference (P < .001). Korean girls did less physical exercise but spent more time watching TV and using PCs, compared to Chinese girls. Korean girls' degree of confidence in nutrition information that they had learned and their performance in their real lives were low. Also, they had a low level of awareness of the need for nutritional education. There was no significant difference in life stress between the two groups. Dietary habits had a significantly negative correlation with life stress in both Korean and Chinese girls (P < .01, P < .001). As for Chinese students, dietary attitude had a negative correlation with life stress with a significant difference (P < .05). As for Korean girls, nutritional knowledge had a negative correlation with life stress with a significant difference (P < .05), which means as life stress was less, dietary habits were better. CONCLUSIONS This study shows that effective nutrition education programs should include components that encourage application of learned nutrition information to real life, increase physical exercise and reduce life stress.
Molecular cloning of a cell wall exo-beta-1,3-glucanase from Saccharomyces cerevisiae

A major protein of Saccharomyces cerevisiae cell walls is a 29-kilodalton glycoprotein which shows lectinlike binding to beta-1,3-glucan and chitin. It was solubilized by heating isolated cell walls at 90 degrees C and purified to homogeneity by running two high-pressure liquid chromatography columns. With the sequence information of the N terminus and seven peptides, two oligonucleotides were synthesized and the gene was cloned. Its sequence is similar to those of two plant beta-glucanases, and the protein was shown to possess beta-1,3-exoglucanase activity with laminarin as substrate. Haploid yeast cells contained one copy of the gene (BGL2). Gene disruption did not result in a phenotype.
Analytic model for the bispectrum of galaxies in redshift space

We develop an analytic theory for the redshift space bispectrum of dark matter, haloes, and galaxies. This is done within the context of the halo model of structure formation, as this allows for the self-consistent inclusion of linear and nonlinear redshift-space distortions and also for the nonlinearity of the halo bias. The model is applicable over a wide range of scales: on the largest scales the predictions reduce to those of the standard perturbation theory (PT); on smaller scales they are determined primarily by the nonlinear virial velocities of galaxies within haloes, and this gives rise to the $U$-shaped anisotropy in the reduced bispectrum\char22{}a finger print of the Finger-Of-God distortions. We then confront the predictions with measurements of the redshift-space bispectrum of dark matter from an ensemble of numerical simulations. On very large scales, $k=0.05h\text{ }\text{ }{\mathrm{Mpc}}^{\ensuremath{-}1}$, we find reasonably good agreement between our halo model, PT and the data, to within the errors. On smaller scales, $k=0.1h\text{ }\text{ }{\mathrm{Mpc}}^{\ensuremath{-}1}$, the measured bispectra differ from the PT at the level of $\ensuremath{\sim}10%\char21{}20%$, especially for colinear triangle configurations. The halo model predictions improve over PT, but are accurate to no better than 10%. On smaller scales $k=0.5\char21{}1.0h\text{ }\text{ }{\mathrm{Mpc}}^{\ensuremath{-}1}$, our model provides a significant improvement over PT, which breaks down. This implies that studies which use the lowest order PT to extract galaxy bias information are not robust on scales $k\ensuremath{\gtrsim}0.1h\text{ }\text{ }{\mathrm{Mpc}}^{\ensuremath{-}1}$. The analytic and simulation results also indicate that there is no observable scale for which the configuration dependence of the reduced bispectrum is constant\char22{}hierarchical models for the higher-order correlation functions in redshift space are unlikely to be useful. It is hoped that our model will facilitate extraction of information from large-scale structure surveys of the Universe, because different galaxy populations are naturally included into our description.
Relationship of parent and child informants to prevalence of mania symptoms in children with a prepubertal and early adolescent bipolar disorder phenotype.

OBJECTIVE A controversy regarding pediatric bipolar disorder is whether to use child in addition to parent informants. To investigate this issue, the authors conducted a study comparing separate child and parent interview data for child bipolar disorder. METHOD Responses on the Washington University in St. Louis Kiddie Schedule for Affective Disorders and Schizophrenia from 93 child and 93 parent informants were compared by using kappa statistics. Research nurses, blind to subject information, separately interviewed parents about their children and children about themselves. Different nurses were used for the parent and child in each family to avoid bias from the same research nurse interviewing a child after interviewing that child's parent. Mania was defined by DSM-IV criteria, with at least one of the two cardinal symptoms of mania (elated mood and/or grandiosity), to avoid diagnosing mania by symptoms that overlapped with those for attention deficit hyperactivity disorder (ADHD). RESULTS Parent-child concordance was poor to fair for all cardinal and noncardinal mania symptoms. Kappas were not significantly different by age within the 7-14-year-old age range. CONCLUSIONS Symptoms endorsed by just the child included substantial proportions of bipolar symptoms that have been shown to best differentiate mania from ADHD (i.e., elation, grandiosity, flight of ideas, racing thoughts, decreased need for sleep). These findings support the need for child informants in research on prepubertal and early adolescent bipolar disorder in children ages 7-14. Differences in mania symptom profiles between investigative groups may be, in part, due to whether child informants were assessed.
Barcelona Economics Working Paper Series Protestants and Catholics: Similar Work Ethic, Different Social Ethic

Europeans restricted their fertility long before other parts of the world did so. By raising the marriage age of women, and ensuring that a substantial proportion remained celibate, the "European Marriage Pattern" (EMP) reduced childbirths by up to 40%. We analyze the rise of this first socioeconomic institution in history that limited fertility through delayed marriage. Our model emphasizes changes in agricultural production following the Black Death. The production of meat, wool, and dairy (pastoral products) increased, while grain production declined. Women had a comparative advantage producing pastoral goods. They often worked as servants in husbandry, where they remained unmarried long after they had left the parental household. In a Malthusian world, this translated into lower population pressure, raising average wages by up to a quarter. The Black Death thus set into motion a virtuous circle of higher wages and fertility decline that underpinned Europe's high per capita incomes. We demonstrate the importance of this effect in a calibration of our model.
Critical reflections from a community-based participatory research course.

INTRODUCTION Training for new and existing researchers in community-based participatory research (CBPR) approaches requires flexibility and a departure from traditional research methods courses. The literature has not fully reported how universities teach CBPR or the impact of CBPR courses on students and researchers. METHOD In this paper, I use a reflective, inquiry-based methodology to find meaning from my experience in a doctoral level CBPR course offered by a southeastern university. RESULTS Five recommendations, complementary to guiding CBPR principles emerge. These include: Know the inherent challenges, find meaning and purpose, seek to understand complexities, recognize the implications, and use CBPR as a means to redress power. DISCUSSION The reflection process and recommendations may be useful for institutions, funding agencies, policy makers, and community-engaged researchers.
Reassessment Of Currency Index By Fundamentals

We examine empirical consistency of the fundamentals in (1) the Middle and South American and (2) the Asian currency crises with the first-generation model, using panel data. We also evaluate our model by forecasting, and examine the differences between the two currency crises in terms of fundamentals. Some differences in explanatory power between fundamentals suggest that we should consider other factors in addition to our fundamentals. Dividing data into the two countries groups manifests that the causes were slightly different. The in-sample and out-of-sample tests indicate that our model could better predict the Middle and South American currency crisis.
DopeLearning: A Computational Approach to Rap Lyrics Generation

Writing rap lyrics requires both creativity to construct a meaningful, interesting story and lyrical skills to produce complex rhyme patterns, which form the cornerstone of good flow. We present a rap lyrics generation method that captures both of these aspects. First, we develop a prediction model to identify the next line of existing lyrics from a set of candidate next lines. This model is based on two machine-learning techniques: the RankSVM algorithm and a deep neural network model with a novel structure. Results show that the prediction model can identify the true next line among 299 randomly selected lines with an accuracy of 17%, i.e., over 50 times more likely than by random. Second, we employ the prediction model to combine lines from existing songs, producing lyrics with rhyme and a meaning. An evaluation of the produced lyrics shows that in terms of quantitative rhyme density, the method outperforms the best human rappers by 21%. The rap lyrics generator has been deployed as an online tool called DeepBeat, and the performance of the tool has been assessed by analyzing its usage logs. This analysis shows that machine-learned rankings correlate with user preferences.
Chromatin Phenotype Karyometry Can Predict Recurrence in Papillary Urothelial Neoplasms of Low Malignant Potential

Background: A preceding exploratory study (J. Clin. Pathol. 57(2004), 1201–1207) had shown that a karyometric assessment of nuclei from papillary urothelial neoplasms of low malignant potential (PUNLMP) revealed subtle differences in phenotype which correlated with recurrence of disease. Aim of the Study: To validate the results from the exploratory study on a larger sample size. Materials: 93 karyometric features were analyzed on haematoxylin and eosin-stained sections from 85 cases of PUNLMP. 45 cases were from patients who had a solitary PUNLMP lesion and were disease-free during a follow-up period of at least 8 years. The other 40 were from patients with a unifocal PUNLMP, with one or more recurrences in the follow-up. A combination of the previously defined classification functions together with a new P-index derived classification method was used in an attempt to classify cases and identify a biomarker of recurrence in PUNLMP lesions. Results: Validation was pursued by a number of separate approaches. First, the exact procedure from the exploratory study was applied to the large validation set. Second, since the discriminant function 2 of the exploratory study had been based on a small sample size, a new discriminant function was derived. The case classification showed a correct classification of 61% for non-recurrent and 74% for recurrent cases, respectively. Greater success was obtained by applying unsupervised learning technologies to take advantage of phenotypical composition (correct classification of 92%). This approach was validated by dividing the data into training and test sets with 2/3 of the cases assigned to the training sets, and 1/3 to the test sets, on a rotating basis, and validation of the classification rate was thus tested on three separate data sets by a leave-k-out process. The average correct classification was 92.8% (training set) and 84.6% (test set). Conclusions: Our validation study detected subvisual differences in chromatin organization state between non-recurrent and recurrent PUNLMP, thus allowing a very stable method of predicting recurrence of papillary urothelial neoplasms of low malignant potential by karyometry.
Assessing and predicting the relative ecological impacts of disturbance on habitats with different sensitivities

1. Methods for assessing habitat sensitivity to human impacts are needed to gauge the sustainability of existing impacts, develop spatial management plans and support meaningful environmental impact assessments. These methods should be quantitative, validated, repeatable and applicable at the scales of impact and management. 2. Existing methods for assessing the sensitivity of marine habitats to human impacts have tended to rely on expert judgement and/or scoring systems. They are neither validated, quantitative nor repeatable. 3. We have developed a method that meets the criteria for assessing the sensitivity of seabed habitats to physical disturbance, and delineating and mapping habitat sensitivity at large spatial scales (>105 km2). The method assumes that sensitivity is related to the recovery time of production or biomass, as predicted using a size-based model that takes account of the effects of natural disturbance. 4. As trawling disturbance is a major and widespread direct human impact on shelf seas, this was used as an example of anthropogenic physical disturbance. We mapped habitat sensitivity to trawling in 9-km2 boxes across an area of 125 000 km2 in the North Sea. 5. Habitat sensitivities varied widely, and a trawling frequency of 5 year-1 in the least-sensitive habitat had the same ecological effect as a trawling frequency of 0.3 year-1 in the most-sensitive habitat (based on production). When trawling effort was held constant but redirected to the least-sensitive habitats, the existing impacts on production and biomass were reduced by 36% and 25%, respectively. 6. Synthesis and applications. The method described in this paper enables managers to predict the implications of changing patterns of human impact on seabed habitats when establishing spatial management plans. In the context of fisheries management, this will support the identification and selection of fishing grounds that minimize the adverse ecological effects of fishing; the selection of closed areas (both representative and highly sensitive); the comparison of management options that might reduce the overall environmental impacts of fishing; and any future steps towards the application of environmental impact assessment in advance of fishery development.
Investigation of single event upset and total ionizing dose in FeRAM for medical electronic tag

We investigate the single event upset (SEU) and total ionizing dose (TID) tolerance of FeRAMs fabricated in 180-nm technology against neutron and gamma-ray radiation. Our irradiation tests reveal that the FeRAM has an SEU rate of less than 8.5 × 10 3 FIT/Gbit for terrestrial neutrons and a tolerance up to the dose of 100-kGy for gamma-ray radiation. These results indicate that the FeRAM is suitable for the medical electronic tags which require sterilization with 25-kGy ionization radiation.
Unconscious-Thought Effects Take Place Off-Line, Not On-Line

The unconscious-thought effect refers to an improvement in decision making following distraction from the decision context for a period of time. The dominant explanation for this effect is that unconscious processes continue to deal with the problem during the distraction period. Recently, however, some researchers have proposed that unconscious thinkers may be merely recalling a judgment that was formed on-line (i.e., during information acquisition). We present two experiments that rule out the latter interpretation. In the unconscious-thought condition of the first experiment, participants who reported making their decision after unconscious thought made better decisions than those who reported making their decision on-line. In the second experiment, all participants judged the choice alternatives both on-line and off-line. On-line judgments were predictive of off-line judgments only in the immediate-decision condition, but not in the conscious- and unconscious-thought conditions. These results demonstrate that a period of unconscious thought does improve judgments that were formed earlier on-line.
Congestion Estimation and Localization in FPGAs : A Visual Tool for Interconnect Prediction

In this paper, we are concerned with locating the most congested regions in FPGA designs before routing is completed. As well, we are interested in the amount of congestion in these locations relative to surrounding areas. If this estimation is done accurately and early enough, e.g. prior to routing or even prior to placement, the data can be used during clustering, placement and perhaps during routing to avoid or spread out congestion before it becomes a problem. We implemented several estimation methods in the VPR tool set and visually compare estimation results to an actual routing congestion map. We find that standard image processing techniques such as blending and peak saturation considerably improve the quality of estimation for all metrics.
Augmenting LTP-Like Plasticity in Human Motor Cortex by Spaced Paired Associative Stimulation

Paired associative stimulation (PASLTP) of the human primary motor cortex (M1) can induce LTP-like plasticity by increasing corticospinal excitability beyond the stimulation period. Previous studies showed that two consecutive PASLTP protocols interact by homeostatic metaplasticity, but animal experiments provided evidence that LTP can be augmented by repeated stimulation protocols spaced by ~30min. Here we tested in twelve healthy selected PASLTP responders the possibility that LTP-like plasticity can be augmented in the human M1 by systematically varying the interval between two consecutive PASLTP protocols. The first PASLTP protocol (PAS1) induced strong LTP-like plasticity lasting for 30-60min. The effect of a second identical PASLTP protocol (PAS2) critically depended on the time between PAS1 and PAS2. At 10min, PAS2 prolonged the PAS1-induced LTP-like plasticity. At 30min, PAS2 augmented the LTP-like plasticity induced by PAS1, by increasing both magnitude and duration. At 60min and 180min, PAS2 had no effect on corticospinal excitability. The cumulative LTP-like plasticity after PAS1 and PAS2 at 30min exceeded significantly the effect of PAS1 alone, and the cumulative PAS1 and PAS2 effects at 60min and 180min. In summary, consecutive PASLTP protocols interact in human M1 in a time-dependent manner. If spaced by 30min, two consecutive PASLTP sessions can augment LTP-like plasticity in human M1. Findings may inspire further research on optimized therapeutic applications of non-invasive brain stimulation in neurological and psychiatric diseases.
Beta amyloid precursor protein and patterns of HIV p24 immunohistochemistry in different brain areas of AIDS patients

ObjectivesTo evaluate the correlation between immunohistochemical positive patterns (globular and filamentous structures) of β-amyloid precursor protein (β-APP), used as a marker of axonal damage, and the different distribution of HIV p24 antigens, in three different brain areas of AIDS patients. MethodsEighteen AIDS patients with HIV-related brain lesions were included in the study. Forty-nine sections from basal ganglia, frontal cortex and hippocampus were selected. After microwave oven pre-treatment, the sections were incubated with anti-HIV p24 and anti-β-APP monoclonal antibodies; the reactions were developed with peroxidase/3,3′diaminobenzidine. The positivity was graded by semi-quantitative scores. Double immunohistochemical staining was used to evaluate the co-localization of the antigens. ResultsHIV p24 immunohistochemistry was positive in 44 of 49 sections (89%), with a prevalence of interstitial positive cells and positive microglial nodules in 27 and 13 sections respectively. β-APP-positive structures were demonstrated in 23 of 44 sections (52%) with HIV-related lesions, and were absent from the five sections without viral expression. Globular and filamentous lesions were observed in 21 of 23 sections and 10 of 23 lesions respectively. Moreover, a high grade of globular type lesion was related to an elevated presence of diffuse interstitial HIV p24-positive cells in basal ganglia; double immunohistochemical reactions demonstrated the co-localization of β-APP globules and HIV p24 antigens. ConclusionsThe data obtained confirm the coexpression of β-APP and viral antigens in particular areas of the brain with HIV-related lesions; there is a strict correlation between β-APP globules (indicating chronic cerebral damage) and the interstitial pattern of HIV p24 immunohistochemistry.