Miracle-dz/UniFAR-FTUs huggingface dataset:
Solar polarization observations at 3 and 13 mm

The ﬁrst solar radio polarization observations at 3 mm (86 GHz) and 13 mm (22 GHz) were made at Aalto University Metsähovi Radio Observatory in Finland in spring 2019. This was the ﬁrst time that 3 mm (86 GHz) and 13 mm (1.3 cm) solar polarization observations were made with the same radio telescope. In this paper we describe the observing system and data analysis, and present the ﬁrst results. We also compare our data with polarization observations made with the Nobeyama Radioheliograph and ﬁnd that the results are consistent. Additionally, we determine the quiet Sun level brightness temperature at 3 mm (86 GHz) using the New Moon for refererence, and obtain a mean value of 6310 K.
Brand Orientation and WOM: Mediating Roles of Brand Love

This study has examined the association of the brand factors with the primary concentration on brand love and its impact on word of mouth (WOM) communication. Brand love is used as a mediator. The questionnaire for the study was adapted from earlier established scales and measures which were based on five points Likert Scale. The study was concentrated on the mall-going customers in the city of Karachi. The study used a sample size of 387 and data was collected non-randomly. The response rate was 86% which showed that mall customers have a high interest on the brand. Smart PLS was used for data analysis. After preliminary statistical analysis including descriptive, reliability and validity, the hypotheses results were generated through bootstrapping. The results suggest that consumes love those brands that have strong brand image, and with which they are satisfied. Contrary to earlier research, we found that brand image has an insignificant association with WOM. However, we found consumers in love with a brand become advocators of that brand. Furthermore, the results suggest that satisfied customers not only love the brand but they also become source of WOM. We also found that brand love failed to mediate brand experience and WOM. However, our results support brand love through brand image and brand satisfaction influence WOM.
Principles of Exercise Testing & Interpretation: Including Pathophysiology and Clinical Applications

Now in its revised, updated Third Edition, this volume provides both the conceptual basis and the practical tools for using exercise testing as part of the cardiorespiratory workup. The coverage ranges from extensive discussions of the pathophysiology of exercise-limiting disorders, to testing protocols, normal values, principles of interpretation, clinical applications, and case presentations. This edition includes three new clinical chapters: training and exercise rehabilitation; diagnoses uniquely made by cardiopulmonary exercise testing; and clinical applications of cardiopulmonary exercise testing. It is part of the "Doody's Core Titles 2009. "
Commentary Health Plan Switching and Attrition Bias in the RAND Health Insurance Experiment

One of the most influential "lessons" of the RAND Health Insurance Experiment (HIE) is that cost sharing can reduce hospitalizations by about a quarter, with no effect on health for the average adult. In an earlier paper in this journal, I sug- gested that a portion of this reduction is due to participants becoming ill and dropping out of the experiment in order to switch to their preexperiment insurance coverage and thus avoid paying the cost-sharing amount. The sixteenfold higher voluntary attrition rate in the cost-sharing arms provides compelling evidence in support of this alternative explanation. Evidence is also provided by the finding in Manning, Duan, Keeler (1993) that the predicted number of hospitalizations among those who dropped out of the coinsurance arms was significantly greater by 34.5 percent than the actual number of hospitalizations, suggesting that participants anticipate hospi- talizations and leave the experiment before incurring the cost-sharing payment. Still more evidence is provided by the finding that those (cost-sharing) participants with greater incomes, instead of being more likely to be hospitalized, as greater income usually implies, were less likely to be hospitalized than poor participants. This find - ing is consistent with their having better preexperiment insurance coverage than poor participants and therefore being more likely to have an incentive to drop out. This inpatient attrition bias makes it dangerous to rely on this lesson of the HIE, because it is not clear that hospitalizations were actually reduced by one-quarter, much less that if such a reduction actually had occurred, there would be no health consequences. The RAND Health Insurance Experiment (HIE) concluded that cost shar- ing can reduce health care spending — specifically hospital use, by about
Job Demand, Hardiness, and Coping Skills as Predictors of General Health among Academic Staff in Public Universities in Ogun State Nigeria

The world over, the importance of the human dimension to organizational sustainability and survival cannot be overemphasized. It is on this premise that this study investigated the combined and relative predictive capacity of job demand, hardiness and coping styles on general health of academic staff in Ogun State, Nigeria. The study adopted a descriptive survey research design of an ex-post facto type. Two research hypotheses were formulated and tested at 0.05 level of significance. Data were collected using a four validated instruments. The instruments were administered to three hundred (300) academic staff randomly selected from the three (3) public universities in Ogun State, Nigeria. Data were analysed using Multiple Regression statistical methods. The findings of this study revealed that job demand, hardiness and coping skills accounted for 26.7% of the variance in the academic staff general health (R = .517; R2 = .267; Adj. R2 = .267; F (2, 298) = 21.057; p = . 000). Also, the study revealed that job demand (β = .128; t = 4.009; p = .000), coping skills (β = .111; t = 2.917; p = .000) and hardiness (β = .107; t = 2.008; p = .000). In conclusion, this study enhances our understanding of the contributive power of job demand, hardiness and coping skills on employees' general health. Through this study it is hoped that organizations and individual employee will become more aware of how job demand, hardiness and coping skills can affect employees' general health in different situations. It is therefore recommended that a organizations should always look for ways to improve the occupational health of their employees. Keywords: Job Demand, Hardiness and Coping Styles on General Health of Academic Staff
Study of multiple impurity seeding effect using SONIC integrated divertor code for JT‐60SA plasma prediction

In order to study the potential impurity seeding operation regime of the future fusion devices, the first application of the integrated divertor code SONIC to the Ar + Ne mixed‐impurity seeding operation of JT‐60SA steady‐state high‐β plasma has been carried out. In the case, Ne is added to Ar‐only seeding, the separatrix electron density has fell into the desired low separatrix electron density of the scenario. This is mainly because the D+ flow velocity towards the inner divertor has been increased by the Ne seeding. The resultant friction force transports Ar impurities towards the inner divertor region, while impurities are stagnated in the top of scrape‐off layer (SOL) in the Ar‐only seeding case. The higher impurity radiation power in the divertor regions and lower one in the SOL region above the X point have been obtained in mixed‐impurity seeding cases, which show similar tendency as the Ar + Ne mixed‐impurity seeding experiment in JT‐60 U. At the core edge, Zeff has been slightly increased and the radiation power has been decreased as the Ne seeding rate increases. The core plasma/impurity transport has been also evaluated by the TOPICS code using the impurity density at the core edge computed by the SONIC as a boundary parameter. The results show lower Zeff and radiation power, and higher electron temperature in the core in the mixed‐impurity seeding cases. Above possible contributors to the better energy confinement indicate that the mixed‐impurity seeding operation might be more effective than Ar‐only seeding operation.
Sustainable Supply Chain Practices and Performance of Manufacturing Firms in Kenya

The main objective of the study was to establish the influence of environmental, social and economic sustainable supply chain practices on the achieveaments of manufacturing firms within Kenya. Survey data collected from 281 Kenyan manufacturing firms were used to test study hypotheses. The researchers adopted explanatory research design and proportionate sampling was used to sample respondents. From the SEM model, results showed that environmentally sustainable supply chain practice (β1 = .303, p<.05), socially sustainable supply chain practice (β2 = .492, p<.05) and economically sustainable supply chain practice (β1 = .626, p<.05), positively influence the outcome of manufacturing firms. Therefore this study concluded that supply chain managers of manufacturing firms should implement social, economic and environmental sustainable supply chain practices in their manufacturing firms to enhance performance. Environmental sustainability practices such as recycling of materials, adoption of cleaner production techniques and adoption of environment management systems must be put in place to enhance the outcome of manufacturing firms. In addition, sustainable social supply chain practices such as improved working conditions, provision of health and safety requirements and promotion of support to the community should be implemented by manufacturing firms to increase their performance. The firm should also put in place measures to increase their utilization of assets and embrace improved manufacturing technologies that improve performance. The study recommended a further study on the same with the inclusion of service sectors and additional dimensions of sustainability such as ethical and supply chain integration dimension apart from economic, social and environmental practices.
Identification of a Potential IAA-Producing Fungus Isolated From Alpinia Sp. Rhizome in Hutan Sibayak, North Sumatera

Medicinal plant from members of Zingiberaceae have been used as traditional remedies by marginal communities. To date, information and potential of these endophytes, especially endophytic fungi is still limited to certain taxa and properties. The present study investigates one of plant growth promoting properties possessed by endophytic fungi, which is the ability to produce extracellular Indole-3-acetic acid (IAA). Rhizome of Alpinia sp. sampled from Hutan Sibayak, North Sumatera was used as source of isolation of endophytic fungi. The endophytic fungal isolates were grown in Czapek-dox broth supplemented with 0.1% (w/v) L-tryptophan for 7 days to induce secretion of extracellular IAA. IAA concentration was measured colorimetrically using Salkowsky’s solution by comparing absorbance (A530) of standard pure IAA with culture filtrates from each isolates. The study obtained 5 endophytic fungal isolates from Alpinia sp. rhizome differentiated morphologically. The highest IAA content in culture filtrate (42.91±1.41 μg.mL−1) was produced by isolate Al04SU followed with Al02SU, Al05SU and Al01SU with IAA concentration of 26.25, 19.55 and 17.26 μg. mL−1, respectively. Molecular identification of isolate Al04 based on ITS-DNA similarity showed that isolate was closely related to Aspergillus flavus and confirmed through phylogenetic tree construction. The presence of IAA-producing endophytic fungi from Alpinia indicates that medicinal plant may harbor bioprospective strains which could be used in crop improvement with further and deeper investigation.
Multimodal finger-printing of the human precentral cortex forming the motor hand knob

Transcranial magnetic stimulation (TMS) of the precentral hand knob can evoke motor evoked potentials (MEP) in contralateral hand muscles. Biophysical modelling points to the dorsal premotor cortex (PMd) in the superficial crown-lip region as primary site of TMS-induced neuronal excitation. Here, we used a sulcus-aligned MRI-informed TMS mapping approach to determine the optimal site (hotspot) for evoking MEPs in the precentral hand knob. Individual precentral hotspot location varied along the rostro-caudal axis. Individuals with a more rostral location had longer MEP latencies. Spatiotemporal “hotspot rostrality” was associated with higher precentral myelin-related signals, stronger movement-related activation of PMd in the precentral crown, and higher temporal precision during paced finger tapping. Together, our multimodal mapping approach provides first-time evidence for behaviourally relevant, structural and functional phenotypic variation in the crown of human precentral motor hand knob. The results have important implications for physiological and interventional TMS studies targeting the precentral hand knob.
Caracterização da participação social de indivíduos na fase crônica pós-acidente vascular encefálico

This study aimed to describe and compare differences in restrictions in social participation of chronic stroke subjects, considering the impairments, mobility limitations, and personal factors. Restrictions in social participation was measured by the LIFE-H 3.1- Brasil; impairments by the Geriatric Depression Scale and Fugl-Meyer Assessment (FMA); mobility limitations by gait speed and Timed Up & Go (TUG) test; whereas personal factors included sex, age, family status, and time after stroke onset. Significant restrictions in the recreation area were found. In general, restrictions in social participation were observed in participants with scores ≤28 at the FMA-lower extremity section, depressive symptoms, limited-community ambulation status, risk of falls, and time after stroke ≤5 years. Those with scores ≤45 FMA-upper extremity showed greater restrictions in some areas of daily activities. Women showed greater restrictions in the social roles. The results suggested that impairments and limitations related to the lower extremity, depressive symptoms, and time after stroke onset should be considered for the assessment of stroke subjects, when the rehabilitation goal is to increase social participation.
Structure Learning for Headline Generation

Headline generation is an important problem in natural language processing, which aims to describe a document by a compact and informative headline. Some recent successes on this task have been achieved by advanced graph-based neural models, which marry the representational power of deep neural networks with the structural modeling ability of the relational sentence graphs. The advantages of graph-based neural models over traditional Seq2Seq models lie in that they can encode long-distance relationship between sentences beyond the surface linear structure. However, since documents are typically weakly-structured data, modern graph-based neural models usually rely on manually designed rules or some heuristics to construct the sentence graph a prior. This may largely limit the power and increase the cost of the graph-based methods. In this paper, therefore, we propose to incorporate structure learning into the graph-based neural models for headline generation. That is, we want to automatically learn the sentence graph using a data-driven way, so that we can unveil the document structure flexibly without prior heuristics or rules. To achieve this goal, we employ a deep & wide network to encode rich relational information between sentences for the sentence graph learning. For the deep component, we leverage neural matching models, either representation-focused or interaction-focused model, to learn semantic similarity between sentences. For the wide component, we encode a variety of discourse relations between sentences. A Graph Convolutional Network (GCN) is then applied over the sentence graph to generate high-level relational representations for headline generation. The whole model could be optimized end-to-end so that the structure and representation could be learned jointly. Empirical studies show that our model can significantly outperform the state-of-the-art headline generation models.
Set in Stone? Predicting Confederate Monument Removal

ABSTRACT Recent events have led to a renewed conversation surrounding the relevance and potential removal of Confederate monuments around the country, and several monuments have already been removed. However, we have little insight to explain why some monuments have been removed while others remain. This article seeks to understand the social and political determinants that can better explain the recent removal of Confederate monuments throughout the United States. Analyzing results from an original dataset of Confederate monuments, we identify which local government structures and racial and civic characteristics best predict the removal of these monuments. Ultimately, although we find that other factors contribute to monument removal, the size of the black population, the presence of a National Association for the Advancement of Colored People chapter, and the percentage of Democrats in a county in which a monument exists—as well as whether the monument exists in a state that constrains removal by legislative decree—best predict whether a Confederate monument will be taken down. This project elucidates the interplay of race, partisanship, and local and statewide politics as it relates to the dismantling of Confederate monuments.
Removal of Odontogenic Keratocyst in Maxilla Through the Le Fort I Osteotomy

The odontogenic keratocyst is a lesion with specific clinical and histopathological aspects. The World Health Organization (WHO) in 2017 reclassified it from a tumor to a cyst. It is characterized as a cyst of epithelial development of the jaws, arising from the remains of the dental blade. It represents 3 % to 11 % of all odontogenic cysts and 7 to 11 % of cysts of the gnatic bones. It stands out for its aggressive nature and high relapsing potential. Most of the cases are diagnosed in individuals between 10 and 40 years old, with a mild preference for the masculine gender, occurring more in the mandible. Radiographically, it is radiolucent and well delimited, predominantly unilocular, and may cause displacement of adjacent teeth. The present study aims to report a clinical case of a female 25 years old patient, presenting an intra-osseous lesion in the maxilla (posterior , left side), asymptomatic, with a slight increase in intraoral buccal volume, containing the tooth 28, with a diagnostic hypothesis of Odontogenic Keratocyst. The patient was submitted to the surgical decompression treatment, with cystic fluid puncture, biopsy of the lesion and posterior anatomopathological examination. The enucleation of the tumor was performed using LeFort I osteotomy of maxilla and reconstruction with titanium mesh. There is radiographic evidence of bone repair and lesion reduction. The patient is in periodic follow-up of 4 years and does not present clinical and radiographic signs of relapse. Due to the aggressiveness of the odontogenic keratocyst, the relapse rate is high. The knowledge of the techniques recommended for the treatment of Odontogenic Keratocysts and the clinical and radiographic follow-up of the patient demonstrate a gradual decrease of the lumen of the lesion and suggest local bone neoformation, favoring the prognosis of the case.
Developing the scale of writing, speaking, listening, reading self-efficacy for learners of Turkish as a foreign language

The aim of this study is to develop a scale to measure Turkish reading, listening, speaking and writing self-efficacy of foreign students in Turkey. The sample group of this study consists of 412 foreign students studying in TOMER. At the first phase, four sets of items consisting of 200 items were prepared as a data collecting tool. Eliminating 90 of the items upon expert evaluations, a draft scale consisting of 110 items was applied to mentioned foreign students. The data obtained from the study were analysed by item analysis, exploratory and confirmatory factor analysis methods. At the end of the study, the self-efficacy scale of Turkish reading, writing, speaking and listening skills, which consists of 94 items and targets foreigners who learn Turkish as a foreign language, was found to be a reliable and valid scale. Keywords: Self-efficacy scale, learning Turkish as a foreign language.
Lesson Study as Teacher Training Model to Improve the Quality of Education: Case Study in Surakarta Indonesia

The lesson study is very crucial to make the success of teaching learning process. The research aims to analyze the lesson study as the effective model of teacher training for improving the quality of education. This research used an approach of descriptive-qualitative phenomenology and the research design used the modified classroom action research-based on lesson study. The place of research is in Muhammadiyah PK Kota Barat Elementary School Surakarta, Indonesia. The research subjects were 30 students and 10 teachers at the PK Muhammadiyah Elementary School, while the informants are: the teachers, principals and supervisors. The data gathering employed questionnaires, interviews, and observation. The data analysis used the first order understanding and second order understanding with an interactive model, including data reduction, data display and conclusion/verification. The research results are: 1) Model of effective teacher training for improving the quality of education involves the cooperative and collaborative approaches through three main activities are: a) Workshop, b) Training, and c) Model teacher mentoring. 2) The effective model for improving the quality of teacher learning is "Modified Lesson Study Model". 3) This research also finds training that can be applied from the real state, from the simple to the more complex, and the implementation of the quality improvement strategies use cooperative and collaborative demanding the role of teachers to have better understanding.
Towards Awareness of Human Relational Strategies in Virtual Agents

As Intelligent Virtual Agents (IVAs) increase in adoption and further emulate human personalities, we are interested in how humans apply relational strategies to them compared to other humans in a service environment. Human-computer data from three live customer service IVAs was collected, and annotators marked all text that was deemed unnecessary to the determination of user intention as well as the presence of multiple intents. After merging the selections of multiple annotators, a second round of annotation determined the classes of relational language present in the unnecessary sections such as Greetings, Backstory, Justification, Gratitude, Rants, or Expressing Emotions. We compare the usage of such language in human-human service interactions. We show that removal of this language from task-based inputs has a positive effect by both an increase in confidence and improvement in responses, as evaluated by humans, demonstrating the need for IVAs to anticipate relational language injection. This work provides a methodology to identify relational segments and a baseline of human performance in this task as well as laying the groundwork for IVAs to reciprocate relational strategies in order to improve their believeability.