Miracle-dz/UniFAR-FTUs huggingface dataset:
An Approach to Checking Link Conflicts in the Mapping of Uniform Dependence Algorithms into Lower Dimensional Processor Arrays

In this paper, we propose an enumeration method to check link conflicts in the mapping of n-dimensional uniform dependence algorithms with arbitrary convex index sets into k-dimensional processor arrays. Previous methods on checking the link conflicts had to examine either the whole index set or the I/O spaces whose size are O(N/sup 2n/) or O(N/sup n-1/), respectively, where N is the problem size of the n-dimensional uniform dependence algorithm. In our approach, checking the link conflicts is done by enumerating integer solutions of a mixed integer linear program. In order to enumerate integer solutions efficiently, a representation of the integer solutions is devised so that the size of the space enumerated is O((2N)/sup n-k/). Thus, our approach to checking link conflicts has better performance than previous methods, especially for larger k. For the special case k=n-2, we show that link conflicts can be checked by solving two linear programs in one variable.
Packet delay, loss and reordering in IPv6 world: A case study

With the exhausting of IPv4 addresses, the transition to IPv6 is imminent. In order to gain a deep understanding of IPv6, this paper revisits several critical IPv6 performance metrics. Our extensive measurement shows that packet delay and loss of IPv6 is similar to IPv4 when the AS-level paths are roughly the same. Specifically, when the link utilization exceeds a threshold, e.g., 0.83 in our study, variation of packet delay presents a similar pattern with the variation of link utilization. If packet delay of a path is large, packet-loss rate of that path is more likely to fluctuate. In addition, we conduct an analysis of packet reordering in IPv6 world. Few IPv6 probe packets are out-of-order and the reordering rate is 2.3×10-6, which is much lower than the average rate of 0.79% in IPv4 world. Our analysis consolidates an experimental basis for IPv6 network operators and researchers.
Scalable Object Detection for Stylized Objects

Following recent breakthroughs in convolutional neural networks and monolithic model architectures, state-of-the-art object detection models can reliably and accurately scale into the realm of up to thousands of classes. Things quickly break down, however, when scaling into the tens of thousands, or, eventually, to millions or billions of unique objects. Further, bounding box-trained end-to-end models require extensive training data. Even though - with some tricks using hierarchies - one can sometimes scale up to thousands of classes, the labor requirements for clean image annotations quickly get out of control. In this paper, we present a two-layer object detection method for brand logos and other stylized objects for which prototypical images exist. It can scale to large numbers of unique classes. Our first layer is a CNN from the Single Shot Multibox Detector family of models that learns to propose regions where some stylized object is likely to appear. The contents of a proposed bounding box is then run against an image index that is targeted for the retrieval task at hand. The proposed architecture scales to a large number of object classes, allows to continously add new classes without retraining, and exhibits state-of-the-art quality on a stylized object detection task such as logo recognition.
An Information Analysis of Speed and Accuracy

20 subjects were given either instructions for speed or accuracy in a Fitts' tapping task. Performance on the task over 25 trials was monitored. Analysis of variance indicated a significant effect of instructions and practice, and a significant interaction in terms of information transmitted. Explanations are offered in terms of redundancy in feedback systems and maximal channel capacity of the motor system.
Diabetes Self-management Education and Support in Type 2 Diabetes: A Joint Position Statement of the American Diabetes Association, the American Association of Diabetes Educators, and the Academy of Nutrition and Dietetics

Diabetes is a chronic disease that requires a person with diabetes to make a multitude of daily self-management decisions and to perform complex care activities. Diabetes self-management education and support (DSME/S) provides the foundation to help people with diabetes to navigate these decisions and activities and has been shown to improve health outcomes (1–7). Diabetes self-management education (DSME) is the process of facilitating the knowledge, skill, and ability necessary for diabetes self-care. Diabetes self-management support (DSMS) refers to the support that is required for implementing and sustaining coping skills and behaviors needed to self-manage on an ongoing basis. (See further definitions in Table 1.) Although different members of the health care team and community can contribute to this process, it is important for health care providers and their practice settings to have the resources and a systematic referral process to ensure that patients with type 2 diabetes receive both DSME and DSMS in a consistent manner. The initial DSME is typically provided by a health professional, whereas ongoing support can be provided by personnel within a practice and a variety of community-based resources. DSME/S programs are designed to address the patient’s health beliefs, cultural needs, current knowledge, physical limitations, emotional concerns, family support, financial status, medical history, health literacy, numeracy, and other factors that influence each person’s ability to meet the challenges of self-management. View this table: Table 1 Key definitions It is the position of the American Diabetes Association (ADA) that all individuals with diabetes receive DSME/S at diagnosis and as needed thereafter (8). This position statement focuses on the particular needs of individuals with type 2 diabetes. The needs will be similar to those of people with other types of diabetes (type 1 diabetes, prediabetes, and gestational diabetes mellitus); however, the research and examples referred to in this article focus …
Learnersourcing of Complex Assessments

We present results from a pilot study where students successfully created complex assessments for a MOOC in introductory electronics -- an area with a very large expert-novice gap. Previous work in learnersourcing found that learners can productively contribute through simple tasks. However, many course resources require a high level of expertise to create, and prior work fell short on tasks with a large expert-novice gap, such as textbook creation or concept tagging. Since these constitute a substantial portion of course creation costs, addressing this issue is prerequisite to substantially shifting MOOC economics through learnersourcing. This represents one of the first successes in learnersourcing with a large expert-novice gap. In the pilot, we reached out to 206 students (out of thousands who met eligibility criteria) who contributed 14 complex high-quality design problems. This results suggests a full cohort could contribute hundreds of problems. We achieved this through a four-pronged approach: (1) pre-selecting top learners (2) community feedback process (3) student mini-course in pedagogy (4) instructor review and involvement.
Simple models of human brain functional networks

Human brain functional networks are embedded in anatomical space and have topological properties—small-worldness, modularity, fat-tailed degree distributions—that are comparable to many other complex networks. Although a sophisticated set of measures is available to describe the topology of brain networks, the selection pressures that drive their formation remain largely unknown. Here we consider generative models for the probability of a functional connection (an edge) between two cortical regions (nodes) separated by some Euclidean distance in anatomical space. In particular, we propose a model in which the embedded topology of brain networks emerges from two competing factors: a distance penalty based on the cost of maintaining long-range connections; and a topological term that favors links between regions sharing similar input. We show that, together, these two biologically plausible factors are sufficient to capture an impressive range of topological properties of functional brain networks. Model parameters estimated in one set of functional MRI (fMRI) data on normal volunteers provided a good fit to networks estimated in a second independent sample of fMRI data. Furthermore, slightly detuned model parameters also generated a reasonable simulation of the abnormal properties of brain functional networks in people with schizophrenia. We therefore anticipate that many aspects of brain network organization, in health and disease, may be parsimoniously explained by an economical clustering rule for the probability of functional connectivity between different brain areas.
Aetiologies of Autism: Psychodynamic, Pharmacological and Behavioural, Related to Kuwait

Autism is a severe form of childhood psychopathology which has enormous impact on the child, his/her family, and the wider community. It challenges the expertise of doctors, teachers and therapists. In Kuwait, recognition of the disorder is still in its infancy. However, the government has established a new Centre for Autism, the first of its kind in the country, to provide up‐to‐date medical care and education for autistic children. This article will assess Kuwait's progress in catering for autism, in the light of current international thinking. Discussion of the roles of the main governmental and non‐governmental bodies concerned with provision for autistic children in Kuwait, with an account of the only two special schools which are currently known to cater specifically for this disorder, is given. It was found that, in Kuwait, provision is limited and fragmented compared with that of the UK and the USA. Moreover, there is, as yet, relatively little information available to researchers, parents, or the.
Colour as a Gestalt: Pop out with basic features and with conjunctions

Gestalt phenomena are a cornerstone of perceptual psychology. Although sometimes poorly understood, they are powerful and robust effects with significant implications for how we recognize objects and parse scenes. Traditionally, the study of Gestalts has focused on visual form perception, where parts combine in nonadditive ways to create wholes possessing novel emergent properties different from the “sum of their parts”. Here I argue that colour perception meets the customary criteria applied to Gestalts at least well as shape perception does, in that colour emerges from nonadditive combination of wavelengths in the perceptual system and results in novel, emergent features. Regarding colour as a (and perhaps as the quintessential) Gestalt may help demystify Gestalts and help us better understand the role of colour in tasks such as visual search that are used to identify basic features in early vision. Colour should be thought of not as a basic feature or primitive property of the stimulus but rather as a complex conjunction of wavelengths that are integrated in perceptual processing. As a Gestalt, however, colour serves as a psychological primitive and so, as with Gestalts in form perception, it may lead to pop-out in visual search. Indeed, pop-out should be regarded as a prerequisite for claiming that a conjunction of features forms a Gestalt.
Local Attention Analysis and Prediction of Online News Articles in Twitter

What is the difference between the local news and the general news? Due to a huge number of online news articles published on the Web, it has become quite important to recommend appropriate articles to users. Locality of an article is one of the important features to judge whether it gets interests from users in a specific area. In this work, we give a precise definition of local news article using the geographical distributions of the Twitter users. Using this definition, we analyze the characteristics of Japanese online news articles shared on Twitter with respect to their locality, and also propose a method for predicting the locality. Our method contributes to improving the performance of news recommendation because it becomes easy to identify the target area from local news we predict. In our experiments on Twitter and Yahoo! Japan News dataset, the results reveal that the prediction accuracy is 73%, which is 9 points higher than the naive method based on the news titles.
Decentralized Autonomous Control of a Myriapod Locomotion Robot

Applications such as demining and planetary exploration require locomotion over unstructured terrain. A suitable approach to solve this problem is to use legged robots, because of the flexibility that they can offer, together with a compact size. Deciding on the gait patterns of the robot that optimizes such criteria as energy consumption, walking speed and providing a good stability margin against falling over, are important problems that need to be solved. A myriapod robot is advantageous because the large number of legs contributes to the margin of stability and provides robustness against the failure of each individual leg. However, the choice of a suitable gait pattern becomes a more difficult task since more combinations of patterns arise. In this paper, we introduce a myriapod robot with ten legs, which was built with the purpose of investigating algorithms for generating gait patterns. The gait pattern generator contains nonlinear oscillators. Various gait patterns emerge through the mutual entrainment of these oscillators. The work presented here is preliminary and contains a small amount of experimental data. This paper is intended to give information about research that is planned on the subject.
Centralized and decentralized multi-cell D2D resource allocation using flexible UL/DL TDD

Device to device (D2D) communication is expected to be an important aspect in future 5G communication systems. To this end, D2D has been identified as an important topic in the EU flagship project METIS, wherein commercial D2D use cases are also considered. In principle, direct D2D communication offers the double benefit of low latency and high data rate at the same time. Interference mitigation and performance optimization alongside cellular users are however some of the key challenges to D2D communication. In this paper, we present a flexible D2D concept which is based on integration of D2D communication in flexible UL/DL TDD scheduling. We then compare multi-cell decentralized and centralized approaches for joint resource allocation for direct D2D and cellular links. Simulation based results are shown in a challenging indoor scenario where direct D2D users are placed among a high density of indoor cellular small cells and users. We find that centralized multi-cell resource allocation can improve overall system performance by 24 % for supporting D2D communications. Our results also show that substantial system level gains above 30% are achieved by enabling resource reuse between direct D2D and cellular users in both uplink and downlink cellular time slots. Furthermore, we see that flexible TDD provides overall better system performance as compared to fixed TDD even with a decentralized scheduler.
The Role of Cosmetics in Impression Formation

The purpose of this research was to investigate the effect of cosmetics use on impression formation. The study was a single factor experiment with three levels of cosmetics (heavy, moderate, none). Eighty-five undergraduate females viewed one of three colored photographs of a professional model wearing either heavy, moderate, or no cosmetics and indicated impressions of her attractiveness, femininity, personal temperament, personality, and morality by checking 7-point Likert-type scales. Analysis of variance revealed no significant difference on impressions of personal temperament or personality traits based on cosmetics use. Cosmetics use did significantly affect impressions of attractiveness, femininity, and morality.
The Many Faces of Europeanization

Is ‘Europeanization’ as disappointing a term as it is fashionable? Should it be abandoned, or is it useful for understanding European transformations? Five uses are discussed and it is argued that research need not be hampered by competing definitions as long as their meaning, the phenomena in focus, the simplifying assumption used, the models of change and the theoretical challenges involved, are clarified and kept separate. The research challenge is one of model building, not one of inventing definitions. While it is premature to abandon the term, its usefulness may be more limited than its widespread use could indicate. Europeanization may be less useful as an explanatory concept than as an attention–directing device and a starting point for further exploration.
Effects on coping skills and anxiety of a universal school-based mental health intervention delivered in Scottish primary schools

Anxiety disorders are common in children and may signal risk of depression, social, or academic difficulties. This study evaluated the effects of a universal mental health promotion intervention delivered in primary schools. Three hundred and seventeen 9- to 10-year-olds were randomly allocated by class group to intervention conditions (psychologist-led or teacher-led), or a comparison condition. Coping and anxiety were measured pre- and post-intervention and at six-month follow-up. Significant anxiety reduction and improved coping were found post-intervention and at follow-up. There were no significant differences between the teacher- and psychologist-led intervention groups. Results indicated that a universal school programme delivered by teachers can have positive effects on anxiety and coping.
Strength and Anthropometric Characteristics of Selected Offensive and Defensive University-Level Football Players

Prediction of football-playing ability from several tests of power and anthropometric measures and a prediction of body fat from several skinfold sites was determined among university-level football players. Success in football ability, determined from the coach's rating, correlated highly with skinfolds, % body fat, and a few power measures. Skinfold estimates of body fat can be accurately assessed (r = .92) from two sites, iliac crest and cheek. Football teams would benefit from periodic “in-season” and “offseason” checks on body fat to ensure compliance to a year-long training program.
Atributos e papéis dos conselhos de administração das empresas brasileiras

This paper analyses the changes in corporate governance, focusing on its attributed traits and their effects on the roles and responsibilitiesof the board of directors of Brazilian companies, considering the changes caused by globalization, privatization and the new global businessstructure. A quantitative research was carried out in the 300 largest Brazilian companies listed in Bovespa (Sao Paulo Stock Exchange), investigating the corporate officers perceptions of those changes. Findings point out that corporate officers are more concerned with the board controlling role, although some importance is also given to the strategic role.
Metaphor, hyperbole and simile: A pragmatic approach

Abstract According to recent work on lexical pragmatics within the relevance-theoretic framework, grasping the intended meaning of a metaphorically used word requires a process of adjusting the linguistically encoded concept to derive an ad hoc concept whose denotation is broader than that of the lexical concept. Metaphorical uses are claimed to be one kind of loose use of language, on a continuum with approximations, hyperboles and other kinds of meaning extension. The question addressed in this paper is whether this account fully captures the processes involved in understanding metaphors and the kinds of cognitive effects they have. We tackle this question by examining the similarities and differences between metaphors and hyperboles and between metaphors and similes. The upshot of our analyses is two proposals, both requiring further investigation: (a) that a distinction should be drawn between the kind of ad hoc concepts derived for hyperbolic and other loose uses, on the one hand, and metaphorical uses, on the other, and (b) that the understanding of some metaphorical uses, in particular extended and/or novel creative cases, is achieved by a different mode of processing altogether, one which gives much greater weight to the literal meaning.
TRB3 Inhibits the Transcriptional Activation of Stress-regulated Genes by a Negative Feedback on the ATF4 Pathway*

The integrated stress response (ISR) is defined as a highly conserved response to several stresses that converge to the induction of the activating transcription factor 4 (ATF4). Because an uncontrolled response may have deleterious effects, cells have elaborated several negative feedback loops that attenuate the ISR. In the present study, we describe how induction of the human homolog of Drosophila tribbles (TRB3) attenuates the ISR by a negative feedback mechanism. To investigate the role of TRB3 in the control of the ISR, we used the regulation of gene expression by amino acid limitation as a model. The enhanced production of ATF4 upon amino acid starvation results in the induction of a large number of target genes like CHOP (CAAT/enhancer-binding protein-homologous protein), asparagine synthetase (ASNS), or TRB3. We demonstrate that TRB3 overexpression inhibits the transcriptional induction of CHOP and ASNS whereas TRB3 silencing induces the expression of these genes both under normal and stressed conditions. In addition, transcriptional profiling experiments show that TRB3 affects the expression of many ISR-regulated genes. Our results also suggest that TRB3 and ATF4 belong to the same protein complex bound to the sequence involved in the ATF4-dependent regulation of gene expression by amino acid limitation. Collectively, our data identify TRB3 as a negative feedback regulator of the ATF4-dependent transcription and participates to the fine regulation of the ISR.