LLukas22/scidocs huggingface dataset:
Large scale industry - university centers in electric power engineering

This is a panel presentation on the implementation of engineering centers in the educational community in electric power engineering. The focus is on large-scale industry / university involvement. Advantages and hobbles are discussed. Examples of these centers shall be presented.
Storytelling with robots: Learning companions for preschool children's language development

Children's oral language skills in preschool can predict their academic success later in life. As such, increasing children's skills early on could improve their success in middle and high school. To this end, we propose that a robotic learning companion could supplement children's early language education. The robot targets both the social nature of language learning and the adaptation necessary to help individual children. The robot is designed as a social character that interacts with children as a peer, not as a tutor or teacher. It will play a storytelling game, during which it will introduce new vocabulary words, and model good story narration skills, such as including a beginning, middle, and end; varying sentence structure; and keeping cohesion across the story. We will evaluate whether adapting the robot's level of language to the child's - so that, as children improve their storytelling skills, so does the robot - influences (i) whether children learn new words from the robot, (ii) the complexity and style of stories children tell, (iii) the similarity of children's stories to the robot's stories. We expect children will learn more from a robot that adapts to maintain an equal or greater ability than the children, and that they will copy its stories and narration style more than they would with a robot that does not adapt (a robot of lesser ability). However, we also expect that playing with a robot of lesser ability could prompt teaching or mentoring behavior from children, which could also be beneficial to language learning.
Four Billion Little Brothers?: Privacy, mobile phones, and ubiquitous data collection

Participatory sensing technologies could improve our lives and our communities, but at what cost to our privacy?
Sampling strategies for information extraction over the deep web

Information extraction systems discover structured information in natural language text. Having information in structured form enables much richer querying and data mining than possible over the natural language text. However, information extraction is a computationally expensive task, and hence improving the efficiency of the extraction process over large text collections is of critical interest. In this paper, we focus on an especially valuable family of text collections, namely, the so-called deep-web text collections, whose contents are not crawlable and are only available via querying. Important steps for efficient information extraction over deep-web text collections (e.g., selecting the collections on which to focus the extraction effort, based on their contents; or learning which documents within these collections—and in which order—to process, based on their words and phrases) require having a representative document sample from each collection. These document samples have to be collected by querying the deep-web text collections, an expensive process that renders impractical the existing sampling approaches developed for other data scenarios. In this paper, we systematically study the space of query-based document sampling techniques for information extraction over the deep web. Specifically, we consider (i) alternative query execution schedules, which vary on how they account for the query effectiveness, and (ii) alternative document retrieval and processing schedules, which vary on how they distribute the extraction effort over documents. We report the results of the first large-scale experimental evaluation of sampling techniques for information extraction over the deep web. Our results show the merits and limitations of the alternative query execution and document retrieval and processing strategies, and provide a roadmap for addressing this critically important building block for efficient, scalable information extraction. © 2016 Elsevier Ltd. All rights reserved.
Maintenance resources optimization applied to a manufacturing system

This paper presents an availability optimization of an engineering system assembled in a series configuration, with redundancy of units and corrective maintenance resources as optimization parameters. The aim is to reach maximum availability, considering as constraints installation and corrective maintenance costs, weight and volume. The optimization method uses a Genetic Algorithm based on biological concepts of species evolution. It is a robust method, as it does not converge to a local optimum. It does not require the use of differential calculus, thus facilitating computational implementation. Results indicate that the methodology is suitable to solve a wide range of engineering design problems involving allocation of redundancies and maintenance resources. q 2005 Elsevier Ltd. All rights reserved.
Dynamic Social Network Modeling and Analysis: Workshop Summary and Papers

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Total body irradiation, etoposide, cyclophosphamide, and autologous peripheral blood stem-cell transplantation followed by randomization to therapy with interleukin-2 versus observation for patients with non-Hodgkin lymphoma: results of a phase 3 randomized trial by the Southwest Oncology Group (SWO

To determine the effect of posttransplantation immunotherapy with IL-2 on the progression-free survival (PFS) and overall survival (OS) of patients with non-Hodgkin lymphoma (NHL) after autologous stem-cell transplantation (PBSCT), patients with previously treated NHL were treated with cyclophosphamide, etoposide, total body irradiation (TBI), and PBSCT. Twenty-eight to 80 days after PBSCT, patients were randomized to IL-2 versus observation. Three hundred seventy-six eligible patients were registered (with 4-year PFS of 34% and 4-year OS of 52%), and 194 eligible patients were randomized to continuous infusion intravenous IL-2 (9 million units/m(2)/day for 4 days followed 5 days later by 1.6 million units/m(2)/day for 10 days) versus observation. In randomized patients, there was no significant difference in PFS (hazard ratio of IL-2 to observation = 0.90; P =.56) or in OS (hazard ratio of IL-2 to observation = 0.88; P =.55). There were no deaths related to IL-2 treatment. Grade 4 IL-2-related toxicities (n = 14) were reversible. These results confirm earlier SWOG findings that cyclophosphamide, etoposide, TBI, and PBSCT can be administered to patients with relapsed/refractory NHL with encouraging PFS and OS. Posttransplantation IL-2 given at this dose and schedule of administration had no significant effect on PFS or OS. This study is registered at www.clinicaltrials.gov as NCT00002649.
Recreational physical activity and the risk of breast cancer in postmenopausal women: the Women's Health Initiative Cohort Study.

CONTEXT
Women who are physically active have a decreased risk for breast cancer, but the types, amounts, and timing of activity needed are unknown.


OBJECTIVE
To prospectively examine the association between current and past recreational physical activity and incidence of breast cancer in postmenopausal women.


DESIGN, SETTING, AND PATIENTS
Prospective cohort study in 74 171 women aged 50 to 79 years who were recruited by 40 US clinical centers from 1993 through 1998.


MAIN OUTCOME MEASURE
Incident invasive and in situ breast cancer.


RESULTS
We documented 1780 newly diagnosed cases of breast cancer over a mean follow-up of 4.7 years. Compared with less active women, women who engaged in regular strenuous physical activity at age 35 years had a 14% decreased risk of breast cancer (relative risk [RR], 0.86; 95% confidence interval [CI], 0.78-0.95). Similar but attenuated findings were observed for strenuous physical activity at ages 18 years and 50 years. An increasing total current physical activity score was associated with a reduced risk for breast cancer (P =.03 for trend). Women who engaged in the equivalent of 1.25 to 2.5 hours per week of brisk walking had an 18% decreased risk of breast cancer (RR, 0.82; 95% CI, 0.68-0.97) compared with inactive women. Slightly greater reduction in risk was observed for women who engaged in the equivalent of 10 hours or more per week of brisk walking. The effect of exercise was most pronounced in women in the lowest tertile of body mass index (BMI) (<24.1), but also was observed for women in the middle tertile of BMI (24.1-28.4).


CONCLUSIONS
These data suggest that increased physical activity is associated with reduced risk for breast cancer in postmenopausal women, longer duration provides most benefit, and that such activity need not be strenuous.
Using e-CRM for a unified view of the customer

Applying detailed knowledge of the customer to a larger business domain.
Ancestral polyploidy in seed plants and angiosperms

Whole-genome duplication (WGD), or polyploidy, followed by gene loss and diploidization has long been recognized as an important evolutionary force in animals, fungi and other organisms, especially plants. The success of angiosperms has been attributed, in part, to innovations associated with gene or whole-genome duplications, but evidence for proposed ancient genome duplications pre-dating the divergence of monocots and eudicots remains equivocal in analyses of conserved gene order. Here we use comprehensive phylogenomic analyses of sequenced plant genomes and more than 12.6 million new expressed-sequence-tag sequences from phylogenetically pivotal lineages to elucidate two groups of ancient gene duplications—one in the common ancestor of extant seed plants and the other in the common ancestor of extant angiosperms. Gene duplication events were intensely concentrated around 319 and 192 million years ago, implicating two WGDs in ancestral lineages shortly before the diversification of extant seed plants and extant angiosperms, respectively. Significantly, these ancestral WGDs resulted in the diversification of regulatory genes important to seed and flower development, suggesting that they were involved in major innovations that ultimately contributed to the rise and eventual dominance of seed plants and angiosperms.
Four models of the physician-patient relationship.

ers are trying to delineate a more mutual relationship.5,6 This struggle shapes the expectations ofphysicians and patients as well as the ethical and legal standards for the physician's duties, informed consent, and medical malpractice. This struggle forces us to ask, What should be the ideal physician-patient relationship? We shall outline four models of the physician-patient interaction, emphasizing the different understandings of (1) the goals of the physician-patient inter¬ action, (2) the physician's obligations, (3) the role of patient values, and (4) the conception ofpatient autonomy. To elab¬ orate the abstract description of these four models, we shall indicate the types of response the models might suggest in a clinical situation. Third, we shall also indicate how these models inform the current debate about the ideal physicianpatient relationship. Finally, we shall evaluate these models and recommend one as the preferred model. As outlined, the models are Weberian ideal types. They may not describe any particular physician-patient interactions but highlight, free from complicating de¬ tails, different visions of the essential characteristics of the physician-patient
A Comparative Study of Three Inverse Kinematic Methods of Serial Industrial Robot Manipulators in the Screw Theory Framework

In  this  paper,  we  compare  three  inverse kinematic  formulation methods  for  the  serial  industrial robot manipulators. All  formulation methods  are  based on  screw  theory.  Screw  theory  is  an  effective  way  to establish  a  global  description  of  rigid  body  and  avoids singularities  due  to  the  use  of  the  local  coordinates.  In these three formulation methods, the first one is based on quaternion  algebra,  the  second  one  is  based  on  dual‐ quaternions,  and  the  last  one  that  is  called  exponential mapping method  is based on matrix algebra. Compared with  the  matrix  algebra,  quaternion  algebra  based solutions  are  more  computationally  efficient  and  they need  less  storage  area.  The method which  is  based  on dual‐quaternion  gives  the  most  compact  and computationally  efficient  solution.  Paden‐Kahan  sub‐ problems are used  to derive  inverse kinematic solutions. 6‐DOF  industrial  robot  manipulator’s  forward  and inverse  kinematic  equations  are  derived  using  these formulation  methods.  Simulation  and  experimental results are given.
Inhibition of morphine tolerance and dependence by MS-153, a glutamate transporter activator.

We investigated the effects of (R)-(-)-5-methyl-1-nicotinoyl-2-pyrazoline (MS-153), which is reported to accelerate glutamate uptake, on the development of morphine tolerance and physical dependence in mice. For the induction of morphine tolerance and dependence, mice were twice daily treated with morphine (10-45 mg/kg, s.c.) for 5 days. First, co-administration of MS-153 (12.5 mg/kg, s.c.) did not affect the morphine's potency for its acute antinociceptive effect (1 and 3 mg/kg, s.c.). Next, co-administrations of MS-153 (1, 3 and 12.5 mg/kg, s.c.) during repeated morphine treatments significantly attenuated the development of tolerance to the antinociceptive effect of morphine (3 mg/kg, s.c.) and suppressed the naloxone (10 mg/kg, i.p.)-precipitated withdrawal signs (jumps and body weight loss). The inhibitory effect of MS-153 on the withdrawal signs was due to the attenuation of the development of dependence rather than that of expression of withdrawal signs. These results suggest that MS-153, a glutamate transporter activator, has an inhibitory effect on the development of morphine tolerance and physical dependence.
Test case design for context-aware applications: Are we there yet?

Context: Current software systems have increasingly implemented context-aware adaptations to handle the diversity of conditions of their surrounding environment. Therefore, people are becoming used to a variety of context-aware software systems (CASS). This context-awareness brings challenges to the software construction and testing because the context is unpredictable and may change at any time. Therefore, software engineers need to consider the dynamic context changes while testing CASS. Different test case design techniques (TCDT) have been proposed to support the testing of CASS. However, to the best of our knowledge, there is no analysis of these proposals on the advantages, limitations and their effective support to context variation during testing. Objective: To gather empirical evidence on TCDT concerned with CASS by identifying, evaluating and synthesizing knowledge available in the literature. Method: To undertake a secondary study (quasi -Systematic Literature Review) on TCDT for CASS regarding their assessed quality characteristics, used coverage criteria, test type, and test technique. Results: From 833 primary studies published between 2004 and 2014, just 17 studies regard the design of test cases for CASS. Most of them focus on functional suitability. Furthermore, some of them take into account the changes in the context by providing specific test cases for each context configuration (static perspective) during the test execution. These 17 studies revealed five challenges affecting the design of test cases and 20 challenges regarding the testing of CASS. Besides, seven TCDT are not empirically evaluated. Conclusion: A few TCDT partially support the testing of CASS. However, it has not been observed evidence on any TCDT supporting the truly context-aware testing, which that can adapt the expected output based on the context variation (dynamic perspective) during the test execution. It is an open issue deserving greater attention from researchers to increase the testing coverage and ensure users confidence in CASS.
Geometric PSO + GP = Particle Swarm Programming

Geometric particle swarm optimization (GPSO) is a recently introduced formal generalization of traditional particle swarm optimization (PSO) that applies naturally to both continuous and combinatorial spaces. In this paper we apply GPSO to the space of genetic programs represented as expression trees, uniting the paradigms of genetic programming and particle swarm optimization. The result is a particle swarm flying through the space of genetic programs. We present initial experimental results for our new algorithm.
Social status gates social attention in monkeys

Humans rapidly shift attention in the direction other individuals are looking, following gaze in a manner suggestive of an obligatory social reflex [1–4]. Monkeys’ attention also follows gaze, and the similar magnitude and time-course of gazefollowing in rhesus macaques and humans [5] is indicative of shared neural mechanisms. Here we show that low-status male rhesus macaques reflexively follow the gaze of all familiar rhesus macaques, but high-status macaques selectively follow the gaze only of other high-status monkeys. These results suggest that gaze-following in monkeys involves reflexive and voluntary components, and that the strength of these mechanisms varies according to social status. We probed the impact of social status on gaze-following in rhesus macaques performing a simple visual orienting task [5] (Figure 1A). Each monkey (four highstatus, three low-status) fixated a central target which was replaced by an image of a familiar monkey’s face looking left or right. After 100, 200, 400, 600 or 800 ms, the face disappeared and a peripheral target appeared randomly to the left or right; monkeys then shifted gaze to the target to receive a juice reward. Crucially, the face’s gaze direction did not predict the target location. We demonstrated previously that saccade reaction times for monkeys and humans are faster on those trials in which observed gaze is congruent with target location; reaction time savings thus served as our operational definition of gazefollowing. We hypothesized that monkeys would generally follow gaze, but that the strength and timing of gaze-following would be modulated by social status. Figure 1. Observed gaze and social status influence saccade reaction times. (A) Visual orienting task. The impact of social status on gaze-following was examined by comparing reaction times for saccades made to a peripheral target after viewing an image of a familiar monkey looking left or right. Each monkey first fixated a central yellow square (±3°) for 200–500 ms. The yellow square was then extinguished and a monkey face, shown here in inset, was illuminated centrally for a variable duration. If the monkey maintained fixation, the face was extinguished and a peripheral yellow square simultaneously illuminated at one of two fixed positions located symmetrically 10–15° to the left or right. Gaze shifts to the peripheral target within 350 ms were rewarded with a small squirt of juice. (B) Gaze-following dynamics vary with social status in male rhesus macaques. Average (±S.E.M.) saccade reaction times plotted as a function of face viewing duration on congruent and incongruent trials, for high-status (left) and low-status (right) subjects. For high-status monkeys, gaze cues evoked significant reaction time savings only at the 200 ms viewing duration. For low-status monkeys, both early reaction time savings and later inhibition of return (IOR) were observed. **post-hoc test p < 0.00005; *post-hoc test p < 0.005; all other contrasts p > 0.05. C on gr ue nt In co ng ru en t
The quest for quality.

By adopting six Institute of Medicine goals, the Quest for Quality Prize has put the focus on improving systems of care.
Web-Based Learning Environment: A Theory-Based Design Process for Development and Evaluation

Web-based courses and programs have increasingly been developed by many academic institutions, organizations, and companies worldwide due to their benefits for both learners and educators. However, many of the developmental approaches lack two important considerations needed for implementing Web-based learning applications: (1) integration of the user interface design with instructional design and (2) development of the evaluation framework to improve the overall quality of Web-based learning support environments. This study addressed these two weaknesses while developing a user-centered, Web-based learning support environment for Global Positioning System (GPS) education: Web-based distance and distributed learning (WDL) environment. The research goals of the study focused on the improvement of the design process and usability of the WDL environment based on a theory-based Integrated Design Process (IDP) proposed in the study. Results indicated that the proposed IDP was effective in that the study showed (1) the WDL environment’s equivalence to traditional supplemental learning, especially as a Web-based supplemental learning program and (2) users’ positive perceptions of WDL environment resources. The study also confirmed that for an e-learning environment to be successful, various aspects of the learning environment should be considered such as application domain knowledge, conceptual learning theory, instructional design, user interface design, and evaluation about the overall quality of the learning environment.
The effect of music type on emotion regulation : An emotional-Stroop experiment

Introduction: Emotion regulation, the process of changing one’s emotion or one’s response to emotion, is necessary for efficiency when performing cognitive tasks, and is often measured using a Stroop-like task that provides conflict between emotional and factual information. Researchers have found that listening to music increases performance on cognitive tasks. For the present research it was hypothesized that listening to music samples that evoke different arousal and valence levels would affect participants’ emotion regulation skills. Method: While completing an emotional-Stroop task, 38 Georgia State University undergraduates listened to three-minute excerpts of film scores known to evoke a particular mood and arousal state. Results: A repeated measures ANOVA revealed a significant difference between the types of music and an interaction between music type and word context. Discussion: These results provide evidence that different types of music may place different demands on attention, differentially disrupting Stroop performance, at least for the color-naming of nonacademic words. However, the absence of valence effects in these results suggest that the findings likely reflect arousal rather than mood induction. THE EFFECT OF MUSIC TYPE ON EMOTION REGULATION 3