Miracle-dz/UniFAR-FTUs huggingface dataset:
Is individualism-collectivism associated with self-control? Evidence from Chinese and U.S. samples

Self-control plays an important role in human’s daily life. In the recent two decades, scholars have exerted tremendous effort to examine the etiologies of the individual differences in self-control. Among numerous predictors of self-control, the role of culture has been relatively overlooked. In this study, the influences of cultural orientation on self-control were examined based on the collectivism-individualism framework using both self-report and behavioral task to assess self-control. A convenience sample of 542 Chinese and 446 U.S. undergraduates participated in the research. They were invited to fill out self-report questionnaires reporting their levels of attitudinal self-control and individualistic-collectivistic orientation after completing a computer-based Stroop task. Results of hierarchical regression models showed that Chinese participants reported less attitudinal self-control but had higher behavioral self-control than their U.S. counterparts. Moreover, individual-level individualism and collectivism was negatively and positively related to attitudinal self-control in both countries, respectively. Individual-level collectivism was significantly related to better behavioral self-control, but no significant results were found for the relationship between individual-level individualism and behavioral self-control. In sum, individualism and collectivism have some influences on individual differences in self-control. Implications for future research were discussed.
Demographics, treatment trends, and survival rate in incident pulmonary artery hypertension in Korea: A nationwide study based on the health insurance review and assessment service database

Epidemiologic data regarding pulmonary arterial hypertension (PAH) have relied on registries from Western countries. We assessed the current status of PAH in the Korean population. The Health Insurance Review and Assessment Service (HIRA) claim database, which comprises nationwide medical insurance data of Koreans from 2008–2016, was assessed to determine the current status of PAH. Overall, 1,307 patients were newly diagnosed with PAH from 2008–2016 (0.0005%, annual incidence: 4.84 patients/1 million people/year). The mean age at diagnosis was 44±13 years (range 18–65) and patients were mostly women (n = 906, 69.3%). Cases of idiopathic PAH (51.6%) accounted for the largest proportion, followed by acquired PAH (APAH) associated with congenital heart disease (25.8%) and APAH with connective tissue disease (17.2%). Overall, 807 (61.7%) patients received a single PAH-specific treatment based on their last prescription, of which bosentan (50.6%) was the most frequently used. Only 240 (18.4%) patients received combination therapy, with the bosentan-beraprost combination (32.9%) being the most common. During the mean follow-up of 1.9 years, the 1-, 2-, 3-, and 5-year estimated survival rates were 85%, 62%, 54%, and 46%, respectively. The prevalence and incidence of PAH in the Korean population is currently comparable with that in previous registries. The 5-year survival rate was slightly higher in the Korean population than previously reported.
A Case of Squamous Cell Carcinoma of the Oropharynx Invading Skull Base

Squamous cell carcinoma is the most common type of neoplasia which affects the mucosa of the upper aero-digestive tract. We present the case of a male patient that at the clinical exam showed a tumor mass at the rhinopharynx. The CT examination showed a tumor mass developed from the upper portion of the oropharynx, from the soft palate. The tumor was invasive into the nasopharynx, and into the structures of skull base the skull base, and with bilateral lymphnodes metastasis. At histopathological examination, the fragments of tumor biopsy revealed the aspect of a moderately differentiated keratinised squamous cell carcinoma, with lymph node metastasis, and with invasion in the adjacent fibro-muscular tissue.
Health information seeking behavior of female breast cancer patients

BACKGROUND AND AIM: One of the methods for involving breast cancer patients in their own treatment is to provide them with credible and simple information. To provide this information, it is first necessary to investigate health information-seeking behaviors of these patients including their information needs, sources, barriers, and attitudes regarding health information. METHODS: This is an applied type study using survey method. The statistical population included female breast cancer patients referring to Seyed-Al-Shohada Hospital of Isfahan (60 patients). Data gathered through questionnaire. RESULTS: “Self-care,” “emotional-psychological support information,” and “treatment length and chance of relapse” were the most sought-after health information by patients. “Brochure and catalog provided by hospital,” “other cancer patients,” and “physicians and nurses” were the most important information sources. “High cost of information sources,” “Lack of response from treatment personal (physicians and nurses),” and “lack or trust in website information” were the most important information-seeking barriers. Regarding attitude, participants stated that health information can help them in areas such as “controlling their conditions,” “adapting to their conditions,” “stress and anxiety control,” and “preforming their social roles” and “hopefulness. ” CONCLUSION: Credible and relevant information can help patients to seek their treatment with renewed motivation and energy. This information should be provided for the patients from various sources such as brochures and websites according to their information-seeking abilities and health literacy with low cost. The knowledge of library and medical information experts can be used for evaluation and creation of easy-to-understand information sources.
Optimal control of irrupting pest populations in a climate-driven ecosystem

Irruptions of small consumer populations, driven by pulsed resources, can lead to adverse effects including the decline of indigenous species or increased disease spread. Broad-scale pest management to combat such effects benefits from forecasting of irruptions and an assessment of the optimal control conditions for minimising consumer abundance. We use a climate-based consumer-resource model to predict irruptions of a pest species (Mus musculus) population in response to masting (episodic synchronous seed production) and extend this model to account for broad-scale pest control of mice using toxic bait. The extended model is used to forecast the magnitude and frequency of pest irruptions under low, moderate and high control levels, and for different timings of control operations. In particular, we assess the optimal control timing required to minimise the frequency with which pests reach ‘plague’ levels, whilst avoiding excessive toxin use. Model predictions suggest the optimal timing for mouse control in beech forest, with respect to minimising plague time, is mid-September. Of the control regimes considered, a seedfall driven biannual-biennial regime gave the greatest reduction in plague time and plague years for low and moderate control levels. Although inspired by a model validated using house mouse populations in New Zealand forests, our modelling approach is easily adapted for application to other climate-driven systems where broad-scale control is conducted on irrupting pest populations.
Long term outcomes after left atrial appendage closure with the LARIAT device—Stroke risk reduction over five years follow-up

Introduction Left atrial appendage closure (LAAC) with LARIAT offers an alternative to oral anticoagulation (OAC) for patients with atrial fibrillation. The aim of this study was to present long-term clinical outcomes of LAAC in these patients (AF). Material and methods A prospective, single-center study was performed in 139 patients undergoing LAAC with Lariat. Thromboembolic events, severe bleeding and mortality rate were recorded. The reduction in risk of thromboembolism and bleeding after LAAC was calculated. Results The mean CHADS2-score was 1.8 ± 1.0, mean CHA2DS2-VASc score was 2.9 ± 1.6 and HAS-BLED score was 3.1 ± 1.1. After 428.4 patient-years of follow-up (mean 4.2±1.0 years), the thromboembolism rate was 0.6% with a calculated thromboembolism risk reduction of 81%. The severe bleeding rate was 0.8%; calculated bleeding risk reduction was 78%. The overall mortality rate was 1.6%. Conclusions Long-term outcomes show that LAAC with Lariat is a safe and effective treatment for stroke prevention and bleeding risk reduction in AF patients with a high level of underlying risk.
Designing a Curriculum-Aligned Assessment of Cumulative Learning about Marine Primary Production to Improve an Undergraduate Marine Sciences Program†

We developed an assessment to track changes in understanding about marine primary production, a key concept taught across our undergraduate curriculum. Question content was informed by investigating student misunderstandings, conducting faculty interviews, and mapping primary production concepts to the curriculum. Content questions were paired with questions asking students how confident they were in their answers. Although students gained knowledge of marine primary production across educational levels, confidence data and item analysis indicated student misunderstandings on several concepts. Many students had difficulty on questions that required interpreting graphs or other higher-order thinking skills. The results set the stage for additional focused assessment and curriculum revision, and the questions may be useful in developing a large-scale, interdisciplinary marine sciences concept inventory.
A description of classroom help networks, individual network position, and their associations with academic achievement

This study examined how classroom peer relations can be described in terms of the network of help relations among students, and the positions students take up in this help network, and whether the structure of adolescent classroom help networks and individual network positions were associated with academic achievement. Help networks were based on the peer nomination question "Who helps you with problems? " Building on previous studies on classroom climate and individual network position, higher academic achievement was expected in classrooms with: a dense help network; no or a few network isolates (referring to students that did not give or receive help at all); less segmentation in help relations; equally distributed help nominations. In addition, higher achievement was expected for individuals with more helpers and a more central position in the help network. Using the Dutch SNARE data (54 classrooms; 1,144 students), the multilevel models suggested that lower achievement was related to an unequal distribution of help relations in a classroom. Moreover, the centrality of individuals in the help network was linked to higher achievement. Classrooms varied strongly on network dimensions, and networks that would theoretically be expected to be most beneficial for achievement (with high density, a few isolates, low segmentation, and high equality) turned out to be highly uncommon. The findings demonstrated that subtle network processes were relevant for academic success, and that classroom network characteristics are associated with classroom-level variation in academic achievement. Descriptive results underlined the complexity of the social context of classrooms, and the absence of 'beneficial' classrooms suggests that researchers should adjust their notion of what is a beneficial or detrimental classroom environment for adolescents.
Human ecological and social determinants of dental caries among the Xavante Indigenous people in Central Brazil

This community study evaluates complex interactions between macro and micro determinants of oral health in a local Indigenous population based on a theoretical framework of demographic, economic, and healthcare transformation over the last half century. The study population included all residents of eight Xavante villages in Central Brazil. Our hypothetical model posited multiple direct and indirect associations between dental caries and village groups with differentiated territorial and oral care histories, as well as household socioeconomic indicators and food acquisition patterns, individual sociodemographic characteristics, use of dental health services, and oral hygiene practices. Structural equation modelling methods were used to evaluate direct and indirect associations linking exogenous factors and dental caries. Results include 18 direct and 14 indirect statistically significant pathways between determinant variables and dental caries. Significant links with dental caries were shown for socioeconomic indicators, oral healthcare variables, household food acquisition patterns, sex, and age. These findings suggest that the oral health of Xavante residents in the villages studied is associated with determinant factors of different epidemiological and historical scales. The specific historical frame of territorial circumscription and demographic crisis followed by rapid population increase since the 1970s should be considered a cause-of-cause determinant of the economic, healthcare, and sociodemographic profile contributing to oral health among the Xavante. Considering the limitations of cross-sectional studies, our findings underline the importance for oral health determination of historical currents affecting minority ethnic groups within national societies.
Seed characteristic variations and genetic structure of wild Zizania latifolia along a latitudinal gradient in China: implications for neo-domestication as a grain crop

Abstract Crop wild relatives are not only important genetic resources for crop improvement, but also domestication candidates for selecting new crops. As a close relative of American wild rice Zizania palustris, Z. latifolia is a perennial aquatic grass widely distributed in China. Although Z. latifolia has been domesticated and cultivated as an aquatic vegetable for >1000 years, a neo-domestication for grain production needs to be soundly evaluated. In this study, we investigated the seed characteristic variations and genetic structure of 15 Z. latifolia wild populations along a latitudinal gradient in China. Our results showed that Z. latifolia tended to produce relatively larger seeds with lower moisture content and lower investments in seed pericarp at lower latitudes. The width, size, shape, seed-pericarp ratio and relative water content of seeds were significantly associated with climatic variables. The seeds of Z. latifolia showed a relatively low germination percentage and strong dormancy, which might hinder the neo-domestication. In addition, high genetic differentiation had been found among Z. latifolia populations, which could be attributed to isolation by distance. This study offered preliminary information for the utilization and conservation of wild Z. latifolia. It suggested that the wild populations in the middle and lower reaches of the Yangtze River could be good candidates for grain crop domestication due to appropriate seed traits and high genetic diversity. The neo-domestication of wild Z. latifolia requires further researches on the genetic mechanism of the Domestication Syndrome and more works on artificial breeding.
A DNA barcode reference library of Neuroptera (Insecta, Neuropterida) from Beijing

Abstract Neuroptera (lacewings) is one of the ancient holometabolous insect groups, but some extant species stand as important natural enemies for biological control. As the capital city of China, Beijing has a rich fauna of Neuroptera, previously with 47 species recorded and sorted in 32 genera of seven families. In this study, DNA barcoding based on sequences of COI gene fragments is used to discriminate lacewing species from Beijing. 217 DNA barcode sequences belonging to 49 species were successfully obtained. The COI barcode data worked well for identification of almost all lacewing species herein examined except Pseudomalladaprasinus (Burmeister), in which cryptic species may exist. Twenty species of Neuroptera are newly recorded from Beijing. Besides, Nothochrysinae is first recorded from Beijing. Chrysopidiaciliata (Wesmael) and Drepanepteryxalgida (Erichson) are first recorded from China.
Assessment of Trisama, an ayurvedic formulation on intestinal transit time in swiss albino mice

Background: Trisama is an Ayurvedic formulation that can be prescribed for wide range of disorders, especially abdominal disorders such as indigestion, constipation and flatulence. Trisama is prepared by mixing an equal quantity of powder of Shunthi (Zingiber officinale Linn.), Haritaki (Terminalia chebula Retz.) and Guduchi (Tinospora cordifolia [Willd.] Miers.). As a single ingredient, Haritaki is an alternative to prokinetic drugs, Guduchi for intestinal motility and Shunthi for digestion-related problems. Materials and Methods: The present study aims to evaluate the effect of Trisama dosage forms on intestinal motility by adopting kaolin expulsion test in Swiss albino mice. Trisama powder (0.65 and 1.3 g/kg) and Trisama decoction (12.48 ml/kg) were administered and intestinal transit time of kaolin and latency of onset of kaolin expulsion in fecal matter was assessed. Results: Both the dosage forms of Trisama shortened the intestinal transit time of kaolin. However, the observed effects were statistically significant in Trisama powder at higher dose and Trisama decoction in comparison to control group. The behaviors of mice and consistency of fecal pellet were almost the same as observed in normal control group. Conclusion: From the present study, it is concluded that Trisama has significant intestinal motility-enhancing property in mice which may be useful in gastric problems without affecting the general physiology.
Taking a Dive: Experiments in Deep Learning for Automatic Ontology-based Annotation of Scientific Literature

Text mining approaches for automated ontology-based curation of biological and biomedical literature have largely focused on syntactic and lexical analysis along with machine learning. Recent advances in deep learning have shown increased accuracy for textual data annotation. However, the application of deep learning for ontology-based curation is a relatively new area and prior work has focused on a limited set of models. Here, we introduce a new deep learning model/architecture based on combining multiple Gated Recurrent Units (GRU) with a character+word based input. We use data from five ontologies in the CRAFT corpus as a Gold Standard to evaluate our model’s performance. We also compare our model to seven models from prior work. We use four metrics - Precision, Recall, F1 score, and a semantic similarity metric (Jaccard similarity) to compare our model’s output to the Gold Standard. Our model resulted in a 84% Precision, 84% Recall, 83% F1, and a 84% Jaccard similarity. Results show that our GRU-based model outperforms prior models across all five ontologies. We also observed that character+word inputs result in a higher performance across models as compared to word only inputs. These findings indicate that deep learning algorithms are a promising avenue to be explored for automated ontology-based curation of data. This study also serves as a formal comparison and guideline for building and selecting deep learning models and architectures for ontology-based curation.
CNN Features for Emotional Impact of Movies Task

A framework is proposed to predict the emotional impact of movies by using the audio, action, object and scene features. First, four state-of-the-art features are extracted from four pre-trained convolutional neural networks to depict video contents, and an early fusion strategy is used to combine vectors of these features. Then, the linear support vector regression or linear support vector machine is employed to separately learn affective models or fear models, and the strategy of cross-validation is utilized to select training parameters. Finally, the Gaussian blur function is used to smooth scores of video segments. The experiments show that the combination of these features obtains promising results.
No-Audio Multimodal Speech Detection in Crowded Social Settings Task at MediaEval 2018

This overview paper provides a description of the automatic Human Behaviour Analysis (HBA) task for the MediaEval 2018. In its first edition, the HBA task focuses on analyzing one of the most basic elements of social behavior: the estimation of speaking status. Task participants are provided with cropped videos of individuals while interacting freely during a crowded mingle event that was captured by an overhead camera. Each individual is also wearing a badge-like device hung around the neck recording tri-axial acceleration. The goal of this task is to automatically estimate if a person is speaking or not using these two alternative modalities. In contrast to conventional speech detection approaches, no audio is used for this task. Instead, the automatic estimation system must exploit the natural human movements that accompany speech. The task seeks to achieve competitive estimation performance compared to audio-based systems by exploiting the multi-modal aspects of the problem.
Towards Learning Emotional Subspace

We introduce a model designed to predict emotional impact of movies through affective video content analysis. Specifically, our approach utilizes a two-stage learning framework, which first conducts subspace learning using emotion preserving embedding (EPE) or biased discriminant embedding (BDE) to uncover the informative subspace from the original feature space according to the continuous or discrete emotional labels, respectively, and then carries out the prediction utilizing the support vector machine (SVM). Experimentation on a movie dataset validates the effectiveness of our learning framework.
Transductive Parameter Transfer, Bags of Dense Trajectories and MILES for No-Audio Multimodal Speech Detection

This paper presents the algorithms that task organisers deployed for the automatic Human Behaviour Analysis (HBA) task of the MediaEval 2018. HBA task aims to investigate alternate modalities of video and body-worn acceleration for the detection of speaking status. For unimodal estimation from acceleration, a transfer learning approach, Transductive Parameter Transfer (TPT), which is shown to perform satisfactorily in a similar setting[4] is employed. For the estimation from the video modality, bags of Dense Trajectories were used in a multiple instance learning approach (MILES) [2]. Finally, late fusion is used for combining the outputs from both modalities. The multi-modal approach resulted in a mean AUC of 0.658, outperforming the performance of both single modality approaches.
OOPS: The Ontology of Plant Stress, A Semi-Automated Standardization Methodology

Plant stress traits are important breeding targets for all crop species. Massive amounts of research dollars are spent generating data to combat plant diseases and environmental stress. Often this data is used to achieve a single goal, and then left in a repository to never be used again. As a scientific community, we should be striving to make all publicly funded data reusable, and interoperable. This goal is achievable only through careful annotation using universal data and metadata standards. One such standard is the use of a standardized vocabulary, or ontology. This paper presents a semi-automated method to define and label plant stresses using a combination of web scraping and ontology design patterns. Standardizing the definitions and linking plant stress with established hierarchies leverages previous work of developed knowledge bases such as taxonomic classifications and other ontologies. Keywords—ontology; plant pathology; nutrient deficiency; data standards; Planteome; automation; web scraping.