Miracle-dz/UniFAR-FTUs huggingface dataset:
An interactive stuffed-toy device for communicative description on Twitter

This paper proposes a stuffed-toy device as an outlet target of a user's mental burden. When the user touches/hugs the stuffed toy, the script of the stuffed toy is post on an SNS, such as Twitter. We aim for an indirect and unforced communication among other participants in SNS through the scripts of a stuffed-toy device that shows sympathetic understanding during user's mood recognition.
International human resource management stereotypes, staffing contexts and strategy

This conceptual paper explores some definitional and strategic staffing issues arising from the emergence and practice of International Human Resource Management (IHRM). It firstly draws attention to theoretical problems and questions of interpretation arising from key debates on international staffing in MNCs and the global economy. The problem of reconciling demands for global integration with localisation is highlighted as having strategic importance for international staffing policy. The paper then questions the analytical usefulness of prescriptive expatriate staffing stereotypes, especially the ‘best practice’ ethnocentric model, and calls for a more informed and strategic approach to understanding differing international staffing contexts. It is argued that external structural and contextual factors (eg. global firm ownership, pricing behaviour labour market conditions, and legal/employment institutions) can and do impose significant constraints on internal management staffing decisions in international businesses.
Sex differences in hospital mortality following acute myocardial infarction in China: findings from a study of 45 852 patients in the COMMIT/CCS-2 study

Objective To assess the sex difference in hospital mortality following ST elevation myocardial infarction (STEMI) in China. Design Observational study of patients enrolled into a large trial, adjusting for age, presenting characteristics and hospital treatments using logistic regression. Settings 1250 hospitals in China during 1999–2005. Patients 42 683 STEMI patients, including 31 309 men and 11 374 women. Intervention In the original trial, all patients received 162 mg of aspirin plus 75 mg of clopidogrel daily or matching placebo and metoprolol (15 mg intravenous then 200 mg oral daily) or matching placebo. All other aspects of patients' treatments were at the discretion of responsible doctors. Major outcomes Hospital mortality from any cause during the scheduled trial treatment period (ie, up to 4 weeks in hospital). Results Overall, 8% of the patients died in hospital, with the crude hospital mortality being twice as high in women as in men (12.6% vs 6.3%). After adjusting for age, the sex difference in hospital mortality attenuated but remained highly significant (OR 1.54; 95% CI 1.43 to 1.66). Further adjustment for other baseline characteristics and for the treatments given in hospital had little effect on the sex difference in hospital mortality (OR 1.50, 95% CI 1.38 to 1.62). The difference in hospital mortality was greater at a younger age, with the adjusted ORs being 2.14, 1.70, 1.48 and 1.18, respectively, for ages <55, 55–64, 65–74 and ≥75 years (p=0.0001 for trend). Conclusion Compared with men of the same age, women had approximately a 50% higher mortality following hospital admission for STEMI, with a particularly higher excess risk at age <55 years.
Cerebral Oxygenation During Defibrillator Threshold Testing of Implantable Cardioverter Defibrillators

Background: The induction of ventricular fibrillation (VF) during defibrillator threshold testing of implantable cardioverter defibrillators (ICD) provokes global cerebral hypoperfusion and impaired oxygen delivery. Limited data are available on the neurophysiological effects of defibrillator threshold testing. Near infrared spectroscopy (NIRS) can noninvasively measure changes in specific chromophores, which reflect cerebral oxygenation at the intravascular and mitochondrial levels. We performed a prospective trial using NIRS to analyze cerebral cortical oxygenation during defibrillator threshold testing.
L2TOR - Second Language Tutoring using Social Robots

This paper introduces a research effort to develop and evaluate social robots for second language tutoring in early childhood. The L2TOR project will capitalise on recent observations in which social robots have been shown to have marked benefits over screen-based technologies in education, both in terms of learning outcomes and motivation. As language acquisition benefits from early, personalised and interactive tutoring, current language tutoring delivery is often ill-equipped to deal with this: classroom resources are at present inadequate to offer one-to-one tutoring with (near) native speakers in educational and home contexts. L2TOR will address this by furthering the science and technology of language tutoring robots. This document describes the main research strands and expected outcomes of the project.
World Literature on Facebook

These days, it is impossible to look at the news without finding Facebook in one headline or another. Many are prompted by the leaking of personal information. But a few critics have also called attention to a different kind of problem, having less to do with privacy than with the nature of Facebook as a social medium. Writing in the New York Review of Books, Charles Petersen makes much of its genesis in an Ivy League dorm room: “While Microsoft could as easily have originated at MIT or Caltech, it was no accident that Facebook came from Harvard. ” He goes on to analyze the ethos of the site as the digital equivalent of the preppie look: well scrubbed and well behaved, prankish on occasion but in the end clean and safe and bland. The site's juvenile “principle of in loco parentis” has given way to the “authoritarian building codes” of the suburbs, with more legroom perhaps but no less supervised and no less homogeneous, a “chilling and puritanical atmosphere” (9–10).
Applications of Wireless Sensor Networks in Marine Environment Monitoring: A Survey

With the rapid development of society and the economy, an increasing number of human activities have gradually destroyed the marine environment. Marine environment monitoring is a vital problem and has increasingly attracted a great deal of research and development attention. During the past decade, various marine environment monitoring systems have been developed. The traditional marine environment monitoring system using an oceanographic research vessel is expensive and time-consuming and has a low resolution both in time and space. Wireless Sensor Networks (WSNs) have recently been considered as potentially promising alternatives for monitoring marine environments since they have a number of advantages such as unmanned operation, easy deployment, real-time monitoring, and relatively low cost. This paper provides a comprehensive review of the state-of-the-art technologies in the field of marine environment monitoring using wireless sensor networks. It first describes application areas, a common architecture of WSN-based oceanographic monitoring systems, a general architecture of an oceanographic sensor node, sensing parameters and sensors, and wireless communication technologies. Then, it presents a detailed review of some related projects, systems, techniques, approaches and algorithms. It also discusses challenges and opportunities in the research, development, and deployment of wireless sensor networks for marine environment monitoring.
Improving Natural History Research with Image Analysis: The Relationship Between Skin Color, Sex, Size and Stage in Adult Red-Spotted Newts

—Natural history researchers are increasingly using digital cameras and computer software to measure their study animals. Adult Red-spotted Newts (Notophthalmus viridescens viridescens) are known to display a range of skin colors, from brown to green, but it has not been possible to quantify this variation until the advent of image analysis technology. We used an image analysis approach to compare skin color between sexes, across a range of sizes, and between aquatic and post-breeding (emigrating to the terrestrial habitat) stage adult newts. From 232 individuals (53% male, 47% female) we documented a wide but subtle range of skin colors, measured as the average hue value of all pixels in digital images of each newt body. We found that terrestrial post-breeding individuals were browner than aquatic individuals, consistent with the morphological adaptations of emigrating individuals for the terrestrial habitat. However, we also discovered that males were statistically greener than females but this effect depended on their stage. We suggest this difference may represent different degrees of adaptation for the terrestrial habitat between the sexes. Finally, we used image analysis to obtain measures of body length comparable to traditional snout-vent length and a measure of total body surface area, which provided a better correlation with newt mass than did body length and therefore could potentially serve as an alternative to mass or body condition. We suggest that image analysis methodology offers great promise for future questions relating to size and color in amphibians and provides researchers with an improved way to study aspects of the natural history of amphibians.
The effects of response probability on commission errors in high go low no-go dual response versions of the sustained attention to response task (SART)

In the current investigation, we modified the high Go low No-Go Sustained Attention to Response Task (SART) by replacing the single response on Go trials with a dual response (dual response SART or DR SART). In three experiments a total of 80 participants completed the SART and versions of the DR SART in which response probabilities varied from 50-50, through 70-30 to 90-10. The probability of No-Go withhold stimuli was . 11 in all experiments. Using a dynamic utility based model proposed by Peebles and Bothell (2004) we predicted that the 50-50 DR-SART would dramatically reduce commission errors. Additionally, the model predicted that the probability of commission errors to be an increasing function of response frequency. Both predictions were confirmed. Although the increasing rate of commission errors with response probability can also be accommodated by the rationale originally proposed for the SART by its creators (Robertson, Manly, Andrade, Baddeley, & Yiend, 1997) the fact that the current DR SART results and SART findings in general can be accommodated by a utility model without need for any attention processes is a challenge to views that ascribe commission errors to lapses of sustained attention.
A survey on current challenges and future directions for multimedia information retrieval systems

In this paper, an introduction to Multimedia Information Retrieval (MIR) Systems is presented with justifications to their current widespread use. Explanations of the fundamental differences between MIR systems and standard text-based retrieval ones are also provided with highlights on the inadequacy of the use of keyword-based search techniques as the only modality in searching these archives. Several challenges facing MIR systems are expounded with the focus on bridging the semantic gap between human perception and the low-level features used by automated MIR systems to index multimedia data. The paper presents some of the promising future trends and discusses briefly areas that need further investigations.
What help do developers seek, when and how?

Software development often requires knowledge beyond what developers already possess. In such cases, developers have to seek help from different sources of information. As a metacognitive skill, help seeking influences software developers' efficiency and success in many situations. However, there has been little research to provide a systematic investigation of the general process of help seeking activities in software engineering and human and system factors affecting help seeking. This paper reports our empirical study aiming to fill this gap. Our study includes two human experiments, involving 24 developers and two typical software development tasks. Our study gathers empirical data that allows us to provide an in-depth analysis of help-seeking task structures, task strategies, information sources, process model, and developers' information needs and behaviors in seeking and using help information and in managing information during help seeking. Our study provides a detailed understanding of help seeking activities in software engineering, the challenges that software developers face, and the limitations of existing tool support. This can lead to the design and development of more efficient and usable help seeking support that helps developers become better help seekers.
Model-Driven Engineering of Adaptation Engines for Self-Adaptive Software : Executable Runtime Megamodels

The development of self-adaptive software requires the engineering of an adaptation engine that controls and adapts the underlying adaptable software by means of feedback loops. The adaptation engine often describes the adaptation by using runtime models representing relevant aspects of the adaptable software and particular activities such as analysis and planning that operate on these runtime models. To systematically address the interplay between runtime models and adaptation activities in adaptation engines, runtime megamodels have been proposed for self-adaptive software. A runtime megamodel is a specific runtime model whose elements are runtime models and adaptation activities. Thus, a megamodel captures the interplay between multiple models and between models and activities as well as the activation of the activities. In this article, we go one step further and present a modeling language for ExecUtable RuntimE MegAmodels (EUREMA) that considerably eases the development of adaptation engines by following a model-driven engineering approach. We provide a domain-specific modeling language and a runtime interpreter for adaptation engines, in particular for feedback loops. Megamodels are kept explicit and alive at runtime and by interpreting them, they are directly executed to run feedback loops. Additionally, they can be dynamically adjusted to adapt feedback loops. Thus, EUREMA supports development by making feedback loops, their runtime models, and adaptation activities explicit at a higher level of abstraction. Moreover, it enables complex solutions where multiple feedback loops interact or even operate on top of each other. Finally, it leverages the co-existence of self-adaptation and off-line adaptation for evolution.
The Effects of Long Memory in Price Volatility of Inventories Pledged on Portfolio Optimization of Supply Chain Finance

Due to the illiquidity of inventories pledged, the essential of price risk management of supply chain finance is to long-term price risk measure. Long memory in volatility, which attests a slower than exponential decay in the autocorrelation function of standard proxies of volatility, yields an additional improvement in specification of multi-period volatility models and further impact on the term structure of risk. Thus, long memory is indispensable to model and measure long-term risk. This paper sheds new light on the impact of the existence and persistence of long memory in volatility on inventory portfolio optimization. Firstly, we investigate the existence of long memory in volatility of the inventory returns, and examine the impact of long memory on the modeling and forecasting of multi-period volatility, the dependence structure between inventory returns and portfolio optimization. Secondly, we further explore the impact of the persistence of long memory in volatility on the efficient frontier of inventory portfolio via a data generation process with different long memory parameter in the FIGARCH model. The extensive Monte Carlo evidence reveals that both GARCH and IGARCH models without accounting for long memory will misestimate the actual long-term risk of the inventory portfolio and further bias the efficient frontier; besides, through A sensitive analysis of long memory parameter d, it is proved that the portfolio with higher long memory parameter possesses higher expected return and lower risk level. In conclusion, banks and other participants will benefit from the long memory taken into the long-term price risk measure and portfolio optimization in supply chain finance.
Towards estimating the number of distinct value combinations for a set of attributes

Accurately and efficiently estimating the number of distinct values for some attribute(s) or sets of attributes in a data set is of critical importance to many database operations, such as query optimization and approximation query answering. Previous work has focused on the estimation of the number of distinct values for a single attribute and most existing work adopts a data sampling approach. This paper addresses the equally important issue of estimating the number of distinct value combinations for multiple attributes which we call COLSCARD (for COLumn Set CARDinality). It also takes a different approach that uses existing statistical information (e.g., histograms) available on the individual attributes to assist estimation. We start with cases where exact frequency information on individual attributes is available, and present a pair of lower and upper bounds on COLSCARD that are consistent with the available information, as well as an estimator of COLSCARD based on probability. We then proceed to study the case where only partial information (in the form of histograms) is available on individual attributes, and show how the proposed estimator can be adapted to this case. We consider two types of widely used histograms and show how they can be constructed in order to obtain optimal approximation. An experimental evaluation of the proposed estimation method on synthetic as well as two real data sets is provided.
Relationship between body mass index changes and blood pressure changes from childhood to adulthood in a general Chinese population: a 26 year cohort follow-up study

Abstract The aim of this study was to estimate the relationship between body mass index (BMI) and blood pressure (BP) in a Chinese population with 26 year follow-up. The study included 4211 schoolchildren aged 6–17 years in Hanzhong, Shaanxi Province, China. Body weight, height, waist circumference, and BP were measured in 1987, 1989, 1992, 1995 and 2013. Cox proportional hazards model were fitted to examine the effect of BMI on BP. At the 26 year follow-up, 6.93% of male and 3.43% of female subjects had high SBP, and 12.8% of male and 4.56% of female had high DBP. The average age of subjects with high SBP was 40.3 years in males and 41.4 years in females; while the average age with high DBP was 38.1 years in males and 38.9 years in females. Obese subjects were 2.96 times and 2.88 times more likely to have high SBP and high DBP than normal weight counterparts, respectively; while overweight subjects were 1.81 times and 2.03 times more likely to have high SBP and high DBP, respectively. These findings underscore the urgent need to prevent increasing body weight. Targeting intervention in adolescence may be a critical method for preventing high BP in later life.
Object labeling method using uncertainty measurement

In the article is presented a new method of object labeling, based on the uncertainty measurement of a fuzzy similarity. The labeling is performed on objects detected in a scene, based on information provided by a set of different sensors. First is computed the fuzzy similarity between the detected object and a rough set of possible prototypes, followed by a measurement of the uncertainty induced by the observation. For all these results obtained from each sensor, is computed the global uncertainty corresponding to the most likely label. If we have a time stream observations about the scene and the objects or the sensor system is moving, it can be improve the labeling process by suppressing the inconsistent observations and making new labeling determinations. In this last process are used different prototypes, corresponding to different observation distances and positions. Also, from this observations performed in a time frame, it can be analyzed the uncertainty variation, determined by the switch from one prototype to another.
Towards Time-Aware Knowledge Graph Completion

Knowledge graph (KG) completion adds new facts to a KG by making inferences from existing facts. Most existing methods ignore the time information and only learn from time-unknown fact triples. In dynamic environments that evolve over time, it is important and challenging for knowledge graph completion models to take into account the temporal aspects of facts. In this paper, we present a novel time-aware knowledge graph completion model that is able to predict links in a KG using both the existing facts and the temporal information of the facts. To incorporate the happening time of facts, we propose a time-aware KG embedding model using temporal order information among facts. To incorporate the valid time of facts, we propose a joint time-aware inference model based on Integer Linear Programming (ILP) using temporal consistencyinformationasconstraints. Wefurtherintegratetwomodelstomakefulluseofglobal temporal information. We empirically evaluate our models on time-aware KG completion task. Experimental results show that our time-aware models achieve the state-of-the-art on temporal facts consistently.
Relationship among Differences in Fantasy Pattern, IQ, and Sex-Role Adoption

This study investigated (a) the age at which boys and girls begin to show differences in patterns of fantasy, (b) the relationship between differences in these patterns and factors such as intelligence, manifest aspects of sex role (in forms of teachers' ratings of masculinity for boys and femininity for girls), and presence or absence of the father at home. The results suggest that from the age of 8 or 9 yr. on, a difference emerges between patterns of fantasy of boys and girls. Such patterns, intelligence, and teachers' ratings of masculinity were not related, whereas patterns of fantasy and teachers' ratings of femininity were related. These findings are interpreted as supporting the value of distinguishing between and sorting out the factors which influence the private and the public aspects of sex role.
Influencing melanoma prevention

NPs can expect to see a signifi cant increase in skin cancers of all types, primarily because the aging population is seeing the results of cumulative sun exposure and damage. Remember, sunscreen products were not widely available until the 1970s. In addition, the public is becoming more aware of the harmful effects of high-intensity UV (UVA/UVB) exposure, and more people are asking their healthcare providers for skin cancer screening. Of all the types of skin cancer, cutaneous melanoma presents the highest concern because of its signifi cant morbidity and mortality. It is estimated that, in the United States, someone dies of melanoma almost every hour. Melanoma is a malignant tumor developing from pigmentforming cells. Its incidence has been steadily increasing for the last 30 years. It is now the most common form of cancer in young adults and is responsible for 80% of deaths related to skin cancer. The Surveillance, Epidemiology and End Results (SEER) report, published by The National Cancer Institute, provides information on incidence, prevalence, and survival in the United States regarding all cancers. For persons born in 2010, the SEER report predicts the lifetime risk of developing melanoma as 1 in 52. Fortunately, even with increased incidence, mortalities are not increasing. This is most likely a result of increased awareness, early detection, and early intervention. Therefore, it is essential for NPs to conduct skin surveys to identify early lesions, counsel patients on prevention strategies, and refer suspicious lesions to a dermatology specialist for expert evaluation and biopsy.