LLukas22/scidocs huggingface dataset:
Bayesian persuasion with heterogeneous priors

In a world in which rational individuals may hold different prior beliefs, a sender can influence the behavior of a receiver by controlling the informativeness of an experiment (public signal). We characterize the set of distributions of posterior beliefs that can be induced by an experiment, and provide necessary and sufficient conditions for a sender to benefit from persuasion. We then provide sufficient conditions for the sender to benefit from persuasion for almost every pair of prior beliefs, even when there is no value of persuasion under a common prior. Our main condition is that the receiver’s action depends on his beliefs only through his expectation of some random variable. JEL classification: D72, D83, M31.
An integrated approach to Content Based Image Retrieval

Content based image retrieval, in the last few years has received a wide attention. Content Based Image Retrieval (CBIR) basically is a technique to perform retrieval of the images from a large database which are similar to image given as query. CBIR is closer to human semantics, in the context of image retrieval process. CBIR technique has its application in different domains such as crime prevention, medical images, weather forecasting, surveillance, historical research and remote sensing Here content refers to the visual information of images such as texture, shape and color. Contents of image are richer in information for an efficient retrieval in comparison to text based image retrieval. In this paper, we have proposed a content based image retrieval integrated technique which extracts both the color and texture feature. To extract the color feature, color moment (CM) is used on color images and to extract the texture feature, local binary pattern (LBP) is performed on the grayscale image. Then both color and texture feature of image are combined to form a single feature vector. In the end similarity matching is performed by Euclidian distance which compares feature vector of database images with query images. LBP mainly used for face recognition. But we are going to use LBP for natural images. This combined approach provides accurate, efficient, less complex retrieval system.
A storytelling robot for pediatric rehabilitation

We are developing a prototype storytelling robot for use with children in rehabilitation. Children can remotely control a large furry robot by using a variety of body sensors adapted to their disability or rehabilitation goal. In doing so, they can teach the robot to act out emotions (e.g. sad, happy, excited) and then write stories using the storytelling software and include those emotions in the story. The story can then be "played" by the remote controlled robot, which acts out the story and the emotions. We believe that this robot can motivate the children and help them reach their therapy goals through therapeutic play, either by exercising muscles or joints (e.g. for physically challenges children) or by reflecting on the expression of emotions (e.g. for autistic children). We use an innovative design methodology involving children as design partners.
From concept to reality to vision

I take a brief look at three frontiers of high-energy physics, illustrating how important parts of our current thinking evolved from earlier explorations at preceding frontiers.
A sensitivity study of separation distances calculated with the Austrian Odour Dispersion Model (AODM)

The Austrian Odour Dispersion Model (AODM) is a Gaussian model which was adapted for the prediction of odour sensation. It consists of three modules to estimate the daily and seasonal variation of the odour emission, the average odour concentration and the momentary (peak) concentration for the time interval of a single human breath (approx. 5 seconds). Peak concentrations further downwind are modified by use of an exponential attenuation function for which the proportion of the standard deviations of the wind components to the average wind speed have either to be taken from the literature or to be calculated e. g. from ultrasonic anemometer data. AODM calculates direction-dependent separation distances for a combination of odour threshold and exceedence probability which are a function of the prevailing wind velocity and atmospheric stability conditions. Two sites in Styria in southern Austria with large pig farms are used for a sensitivity study of separation distances. One aspect is the influence of the local meteorology on the separation distances. Another source of uncertainty of the calculated separation distances results from the use of measured or literature values for the attenuation function mentioned above. The article aims at highlighting and judging the meteorological factors influencing the direction-dependent separation distances calculated by the Austrian Odour Dispersion Model.
IRIS: a Chat-oriented Dialogue System based on the Vector Space Model

This system demonstration paper presents IRIS (Informal Response Interactive System), a chat-oriented dialogue system based on the vector space model framework. The system belongs to the class of examplebased dialogue systems and builds its chat capabilities on a dual search strategy over a large collection of dialogue samples. Additional strategies allowing for system adaptation and learning implemented over the same vector model space framework are also described and discussed.
Erythropoietin to treat head and neck cancer patients with anaemia undergoing radiotherapy: randomised, double-blind, placebo-controlled trial

BACKGROUND
Anaemia is associated with poor cancer control, particularly in patients undergoing radiotherapy. We investigated whether anaemia correction with epoetin beta could improve outcome of curative radiotherapy among patients with head and neck cancer.


METHODS
We did a multicentre, double-blind, randomised, placebo-controlled trial in 351 patients (haemoglobin <120 g/L in women or <130 g/L in men) with carcinoma of the oral cavity, oropharynx, hypopharynx, or larynx. Patients received curative radiotherapy at 60 Gy for completely (R0) and histologically incomplete (R1) resected disease, or 70 Gy for macroscopically incompletely resected (R2) advanced disease (T3, T4, or nodal involvement) or for primary definitive treatment. All patients were assigned to subcutaneous placebo (n=171) or epoetin beta 300 IU/kg (n=180) three times weekly, from 10-14 days before and continuing throughout radiotherapy. The primary endpoint was locoregional progression-free survival. We assessed also time to locoregional progression and survival. Analysis was by intention to treat.


FINDINGS
148 (82%) patients given epoetin beta achieved haemoglobin concentrations higher than 140 g/L (women) or 150 g/L (men) compared with 26 (15%) given placebo. However, locoregional progression-free survival was poorer with epoetin beta than with placebo (adjusted relative risk 1.62 [95% CI 1.22-2.14]; p=0.0008). For locoregional progression the relative risk was 1.69 (1.16-2.47, p=0.007) and for survival was 1.39 (1.05-1.84, p=0.02).


INTERPRETATION
Epoetin beta corrects anaemia but does not improve cancer control or survival. Disease control might even be impaired. Patients receiving curative cancer treatment and given erythropoietin should be studied in carefully controlled trials.
The Sleepy Model of Consensus

The literature on distributed computing (as well as the cryptography literature) typically considers two types of players—honest players and corrupted players. Resilience properties are then analyzed assuming a lower bound on the fraction of honest players. Honest players, however, are not only assumed to follow the prescribed the protocol, but also assumed to be online throughout the whole execution of the protocol. The advent of “large-scale” consensus protocols (e.g., the blockchain protocol) where we may have millions of players, makes this assumption unrealistic. In this work, we initiate a study of distributed protocols in a “sleepy” model of computation where players can be either online (alert) or offline (asleep), and their online status may change at any point during the protocol. The main question we address is: Can we design consensus protocols that remain resilient under “sporadic participation”, where at any given point, only a subset of the players are actually online? As far as we know, all standard consensus protocols break down under such sporadic participation, even if we assume that 99% of the online players are honest. Our main result answers the above question in the affirmative. We present a construction of a consensus protocol in the sleepy model, which is resilient assuming only that a majority of the online players are honest. Our protocol relies on a Public-Key Infrastructure (PKI), a Common Random String (CRS) and is proven secure in the timing model of Dwork-Naor-Sahai (STOC’98) where all players are assumed to have weakly-synchronized clocks (all clocks are within ∆ of the “real time”) and all messages sent on the network are delivered within ∆ time, and assuming the existence of sub-exponentially secure collision-resistant hash functions and enhanced trapdoor permutations. Perhaps surprisingly, our protocol significantly departs from the standard approaches to distributed consensus, and we instead rely on key ideas behind Nakamoto’s blockchain protocol (while dispensing the need for “proofs-of-work”). We finally observe that sleepy consensus is impossible in the presence of a dishonest majority of online players.
The Evolution and Equilibrium of Copyright in the Digital Age: Central players: authors, owners, intermediaries and users

Evolution and equilibrium: an introduction Susy Frankel and Daniel Gervais Part I. Central Players: Authors, Owners, Intermediaries and Users: 1. Exceptional authorship: the role of copyright exceptions in promoting creativity Jane C. Ginsburg 2. After twenty years: revisiting copyright liability of online intermediaries Niva Elkin-Koren 3. Overlapping rights: using trademark law to enforce 'copyright'? Irene Calboli Part II. New Enforcement Regimes: 4. Beyond graduated response Rebecca Giblin 5. The rise of criminal enforcement of intellectual property rights ... and its failure in the context of copyright infringement on the Internet Christophe Geiger 6. Administrative enforcement of copyright law in China: a characteristic deserving praise or repealing? Luo Li Part III. Old Legal Techniques and New Challenges: 7. Out of time? Copyright law and the Australasian judiciary in the digital age Susan Corbett 8. Internet service provider liability for copyright infringement in Latin America Pablo Wegbrait 9. New technologies and the scale of copyright infringement: should size matter to liability? Graeme Austin 10. Facilitating access to information: understanding the role of technology in copyright law Brad Sherman and Leanne Wiseman Part IV. The Collective Management Solution: 11. Is there potential for collective rights management at the global level? Perspectives of a new global constitutionalism in the creative sector Christoph Graber 12. Collective management in the twenty-first century from a competition law perspective Yee Wah Chin 13. Copyright on the Internet: consumer copying and collectives Glynn Lunney 14. Coda: fair trade music: letting the light shine in Eddies Schwartz.
Television and video game exposure and the development of attention problems.

OBJECTIVES
Television viewing has been associated with greater subsequent attention problems in children. Few studies have examined the possibility of a similar association between video games and attention problems, and none of these has used a longitudinal design.


METHODS
A sample of 1323 middle childhood participants were assessed during a 13-month period by parent- and child-reported television and video game exposure as well as teacher-reported attention problems. Another sample of 210 late adolescent/early adult participants provided self-reports of television exposure, video game exposure, and attention problems.


RESULTS
Exposure to television and video games was associated with greater attention problems. The association of television and video games to attention problems in the middle childhood sample remained significant when earlier attention problems and gender were statistically controlled. The associations of screen media and attention problems were similar across media type (television or video games) and age (middle childhood or late adolescent/early adult).


CONCLUSIONS
Viewing television and playing video games each are associated with increased subsequent attention problems in childhood. It seems that a similar association among television, video games, and attention problems exists in late adolescence and early adulthood. Research on potential risk factors for attention problems should be expanded to include video games in addition to television.
In vitro degradation performance and biological response of a Mg–Zn–Zr alloy

The feasibility of a Mg–Zn–Zr alloy for biomedical applications was studied through microstructure characterization, corrosion tests in different biological media, and cell proliferation, differentiation and adhesion tests. Corrosion tests showed that the ZK60 alloy in the as-extruded state with finer grain sizes exhibited slower corrosion rates than the same alloy in the as-cast state. The tests in different biological fluids showed that the corrosion rates of the as-cast and as-extruded ZK60 alloy in DMEM + FBS were the highest, while those in Hank’s solution were the lowest. The corrosion rate of the as-extruded ZK60 alloy was similar to the corrosion rates of other commercial magnesium alloys, namely the die-cast AZ91D, die-cast AM50, extruded AZ31 and extruded WE43 alloys. The results obtained from the indirect cyto-
Aspect identification and sentiment analysis based on NLP

This paper proposes method for aspect identification and sentiment analysis. This paper deals with the problem of sentence level. We use semantic syntax tree to extract NP nodes, a method based on slack to identify aspect and mini-support function to narrow aspect; to analyze the sentiment for the aspect we use dictionary-based method. Experimental results show that the proposed approach achieves the state-of-the-art.
Almost periodic solutions for impulsive neural networks with delay

In the present paper the problems of existence and uniqueness of almost periodic solutions for impulsive cellular neural networks with delay are considered. 2006 Elsevier Inc. All rights reserved.
Robust ternary metal gate electrodes for dual gate CMOS devices

This report describes thermally stable dual metal gate electrodes for surface channel Si CMOS devices. We found that the ternary metal nitrides, i.e., Ti/sub 1-x/Al/sub x/N/sub y/ (TiAlN) and TaSi/sub x/N/sub y/ (TaSiN) films, are stable up to 1000/spl deg/C. Especially, the stoichiometric TiAlN (y/spl sim/1) exhibited highly robust p-type gate electrode (p-TiAlN) properties, demonstrating a work function (/spl Phi//sub m/) of /spl sim/5.1 eV and excellent gate oxide integrity against the thermal budget of conventional Si CMOS processing. The N-deficient TiAlN (y < 1) showed /spl Phi//sub m/ for n-type electrode (n-TiAlN) with limited thermal stability. The dual gate electrodes, p-TiAlN and TaSiN, exhibited negligible EOT (equivalent oxide thickness) variation on the high-k gate dielectrics (ZrO/sub 2/, HfO/sub 2/) up to 950/spl deg/C.
Multi-scale mechanical improvement produced in carbon nanotube fibers by irradiation cross-linking

Fibers and yarns based on carbon nanotubes (CNT) are emerging as a possible improvement over more traditional high strength carbon fibers used as reinforcement elements in composite materials. This is driven by a desire to translate the exceptional mechanical properties of individual CNT shells to achieve high performance macroscopic fibers and yarns. One of the central limitations in this approach is the weak shear interactions between adjacent CNT shells and tubes within macroscopic fibers and yarns. Furthermore, the multiple levels of interaction, e.g., between tubes within a multi-walled CNTor between bundles within a fiber, compound the problem. One promising direction to overcome this limitation is the introduction of strong and stiff cross-linking bonds between adjacent carbon shells. A great deal of research has been devoted to studying such cross-linking by the irradiation of CNT based materials using either high energy particles, such as electrons, to directly covalently cross-link CNTs, or electromagnetic irradiation, such as gamma rays to strengthen polymer cross-links between CNT shells and tubes. Here we review recent progress in the field of irradiation-induced cross-linking at multiple levels in CNT based fibers with a focus on mechanical property improvements. 2012 Elsevier Ltd. All rights reserved.
Betamethasone in prevention of postoperative nausea and vomiting following breast surgery.

STUDY OBJECTIVE
To investigate whether betamethasone decreases the incidence of postoperative nausea/vomiting (PONV) and reduces postoperative pain following partial mastectomy.


DESIGN
Prospective randomized, double-blinded study.


SETTING
Operating room and Postanesthesia Care Unit of a university hospital.


PATIENTS
80 ASA physical status 1 and 2 women scheduled for elective breast cancer surgery.


INTERVENTIONS
Patients were randomly allocated to two groups in double-blinded fashion: Group B (betamethasone; 37 pts) and Group C (control; 38 pts). Group B received 8 mg of betamethasone intravenously before the start of surgery.


MEASUREMENTS
The rate of PONV and pain were recorded using a numeric rating scale (NRS; 0-10), as well as rescue doses of antiemetics (ondansetron) and analgesics (ketobemidone).


MAIN RESULTS
There was a significant lower incidence of postoperative nausea (PON) scoring NRS ≥ 1 in Group B in the 4 to 12-hour period compared with Group C (P = 0.02). The cumulative incidence of PON was 57% in Group B versus 68% in Group C (P = 0.27). The overall incidence of postoperative vomiting (POV) was 18% and 20% in Groups B and C, respectively. Postoperative pain was reduced by 40% in Group B in the 4 to 12-hour period, but the mean dose of postoperative rescue analgesic did not differ between the groups.


CONCLUSIONS
Preoperative betamethasone reduces the severity of PONV and pain in patients undergoing elective breast surgery.
451 The Relationship Between Emotional Cognition and the Symptom Gap in Patients with Bronchial Asthma: the Effects of Alexithymia and Empathy

451 TheRelationship BetweenEmotional Cognition and the Symptom Gap inPatientswithBronchialAsthma: theEffects ofAlexithymia and Empathy Sonomi Nakajima. Clinical Psychology, Graduate School of Human Sciences, Osaka University, Suitashi, Japan. Background: When symptoms are poorly controlled, patients with bronchial asthma may show a symptom gap: a cognitive divergence between the true severity of symptoms and the severity evaluated by the patients themselves. The aim of this study was to determine which factors (emotional cognition of the self and others) are associated with this symptom gap. Methods: Forty-two patients with bronchial asthma, who were found with the Comprehensive Asthma Inventory (a bronchial asthma symptom questionnaire) to have psychosocial factors associated with a deep concern about the onset of asthma attacks, were studied by means of validated scales for alexithymia (the Toronto Alexithymia Scale-20) and for empathy (the Interpersonal Reactivity Index: IRI) and questions about how patients evaluate the severity of asthma. Results: Of the patients, 42.5% showed a cognitive divergence regarding asthma symptoms. The scores for “perspective taking” on the IRI were significantly higher in patients who felt symptoms were less severe than they actually than in patients who felt symptoms were more severe than they actually were. No association was found between alexithymia and the symptom gap. Conclusions: The results show that empathy, the ability to understand the emotions of others, is associated with a symptom gap in patients with bronchial asthma and that high scores for “perspective taking” on the IRI may indicate problems of treatment and symptom control in asthma.
BUE ACE 1 Sustainable Vital Technologies in Engineering & Informatics 8-10 Nov 2016 Internet of Things – A Complete Solution for Aviation ' s Predictive Maintenance

The University of South Carolina has been involved in research for the US military for helicopters and rotary aircraft for over 18 years. Majority of this work has been focused on optimizing aircraft uptime and flight readiness by leveraging condition-based maintenance (CBM), more commonly known as predictive maintenance (PM). This type of maintenance differs from other classical styles (reactive and preventive) in that it has a high reliability and a low cost. The foundation of PM in any application is data collection and storage. It begins with applying tools such as natural language processing (NLP) to historical maintenance records to determine the most critical components on the aircraft. Data mining of previously collected sensor data is then used to establish the most reliable types of condition indicators (CIs) that monitor the critical components. These thresholds from the CIs can be modified over time as more data is collected. Once a data collection scheme is in place, prognostics can be used to determine the remaining useful life of a component. Using this process, along with an optimized maintenance schedule through the maintenance steering group (MSG-3) program, helps to eliminate unnecessary maintenance actions on the aircraft, as well as, reduce the inventory of components needed for the aircraft to operate. After this maintenance scheme has been set up, the Internet of Things (IoT) can be leveraged to allow the entire process to operate within a single environment. This further develops the solution, and allows actions to be executed more quickly than if they were performed individually. The expected benefits and future development of these practices will never come to fruition unless personnel are properly educated and trained. Developing a culture of predictive maintenance practices in an aviation environment is necessary to ensure success of this solution. © 2012 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Global Science and Technology Forum Pte Ltd
Prognostic factors in stage IV gastric cancer: univariate and multivariate analyses

 Background. The prognosis of stage IV gastric cancer is poor with the 5-year survival rate still being about 10%. Methods. We classified 130 patients with stage IV gastric cancer into four groups: peritoneal metastasis, liver metastasis, lymph node metastasis, and multiple factor groups, according to the factors that determined stage IV in each patient and compared survival in the four groups. We also performed univariate and multivariate analyses of various prognostic clinicopathological factors. The 5-year survival rate in the patients with stage IV gastric cancer was 7.4%. Results. No significant differences were observed in survival among the four groups. Univariate analysis showed significant differences in survival among the categories of lymphatic invasion ( P = 0.0045), venous invasion ( P = 0.0024), peritoneal metastasis ( P = 0.0019), postoperative chemotherapy ( P = 0.0385), curability ( P = 0.0001), and lymph node dissection ( P = 0.0001). In the curability B group, survival was prolonged in the postoperative chemotherapy group. Multivariate analysis revealed the highest relative hazard (RH) for lymph node dissection (RH, 2.261), followed, in descending order, by curability (RH, 1.905), peritoneal metastasis (RH, 1.896), lymphatic invasion (RH, 1.736), and venous invasion (RH, 1.481). Conclusion. As prognostic factors in stage IV gastric cancer, the tumor factors of peritoneal metastasis and vessel invasion, and the treatment factors of curability and lymph node dissection may be important, and active treatment appears to improve survival.