Miracle-dz/UniFAR-FTUs huggingface dataset:
Brittle materials design, high-temperature gas turbine: Ceramic Turbine Rotor Technology. Interim report No. 13, October 1977--March 1978

Progress of previous work on reaction bonded and hot pressed silicon nitride materials technology is summarized. Improvements to the hot press bonding process resulted in a significant improvement in the yield of flaw-free hot press bonded rotors. Modulus of rupture and cold spin tests of rotor blade rings revealed the presence of undetected subsurface flaws in both the blades and the rim. Blade bend testing indicated that blade strength degraded during hot press bonding. An investigation of hot press bonding temperatures and time at temperature defined a region of zero microstructural and strength degradation. Using 19 hot press bondings, curves were generated defining the changes in color, porosity, hardness, phase and strength as a function of time and temperature. Improvements in injection molding of rotor blade rings were made utilizing an adaptive process control unit which controlled and monitored the injection velocity and die cavity pressure during the injection and hold portions of the molding cycle. Microfocus x-ray results indicated that high injection flowrates combined with low holding pressures in the die cavity reduced the number of subsurface void-type blade flaws. The detection of planar flaws in both green as-molded and nitrided blade rings revealed that this type flaw wasmore » only detectable after nitriding, indicating that it may only occur after burn out and/or nitriding. Approximately 30 experiments were conducted utilizing glass and/or metals as isostatic hot pressing media. Decomposition of the glass was minimized with vycor utilizing boron nitride as a barrier material. A reliability analysis was conducted for individual loading conditions. Recommendations for follow on work are presented. « less
A Survey on Impact of Bio-inspired Computation on Stock Market Prediction

Financial forecasting is one of the imperative fields of research, where investors invest money and get restless for the future changes of the stock values in the market. In the recent course of time forecasting stock price is one of the challenging tasks. To predict the stock price most Artificial Neural Network (ANN) based model are used in the historical data along with statistical measures, technical indicators etc. With the development of ANNs, investors are hoping the best prediction because networks have great capability of machine learning problems such as classification and prediction. ANNs particularly Back Propagation (BP) has overlooked the non-stationary and noise characteristics of stock market data, as the training of BP is intricate due to the noise data and the network fall into a natural solution such as always predict an usual output. Most optimization techniques have been used for training the weights of forecasting models. Since no single optimization technique is invariably superior to others. Recently various nature inspired optimization techniques have been introduced and successfully employed to many fields of Financial Engineering. This survey aims to study the mostly used Bio-inspired optimization techniques on Stock Market Prediction and makes a comparative analysis between them.
Grasp: Tracing, visualizing and measuring the behavior of real-time systems

Understanding and validating the timing behavior of real-time systems is not trivial. Many real-time operating systems and their development environments do not provide tracing support, and provide only limited visualization, measurements and analysis tools. This paper presents Grasp, a tool for tracing, visualizing and measuring the behavior of real-time systems. Grasp provides a simple plugin infrastructure for extending it with custom visualization and measurement methods. The functionality of Grasp is demonstrated based on experiences during the development of various real-time extensions for the commercially available µC/OS-II real-time operating system. All the tools presented in this paper are open source and freely available on the web.
Early Response Markers from Video Games for Rehabilitation Strategies

The growth of online social networks has seen the utilisation of these network graphs for the purpose of providing recommendations. Automated recommendations, however, do not take into account inter-personal trust levels that exist in a social network. In this article, we propose a privacypreserving trusted social feedback (TSF) scheme where users can obtain feedback on questions from their friends whom they trust. We show that the concept can be extended to the domain of crowdsourcing – the trusted crowdsourcing (TCS) scheme. In crowdsourcing, instead of asking friends, one can solicit opinions from experts in the crowd through a privacy preserving trusted feedback mechanism. Our proposal supports categorical answers as well as single-valued numerical answers. We evaluate our proposals in a number of ways: based on a prototype implementation built atop the Google App Engine, we illustrate the performance of the trusted social feedback. In addition, we present a user study to measure the impact that our trusted social feedback proposal has on users’ perception of privacy and on foreground trust. We also present another user study to capture a model for user acceptance testing of the trusted crowdsourcing.
WHY AN ECONOMICS OF OUTDOOR RECREATION

This introductory chapter sets out to accomplish four objectives. The first is to explain why outdoor recreation is a relevant and interesting subject of study for economists. Second, the chapter provides a short history of this field of study. Third, we very briefly detail the main methods for estimating the demand for and value of outdoor recreation, and how demand may change when environmental conditions change. Fourth and finally, we preview the chapters that follow this one.
QSAR Model for Androgen Receptor Antagonism - Data from CHO Cell Reporter Gene Assays

For the development of QSAR models for Androgen Receptor (AR) antagonism, a training set based on reporter gene data from Chinese hamster ovary (CHO) cells was constructed. The training set is composed of data from the literature as well as new data for 51 cardiovascular drugs screened for AR antagonism in our laboratory. The data set represents a wide range of chemical structures and various functions. Twelve percent of the screened drugs were AR antagonisms; three out of six statins showed AR antagonism, two showed cytotoxicity and one was negative. The newly identified AR antagonisms are: Lovastatin, Simvastatin, Mevastatin, Amiodaron, Docosahexaenoic acid and Dilazep. A total of 874 (231 positive, 643 negative) chemicals constitute the training set for the model. The Case Ultra expert system was used to construct the QSAR model. The model was cross-validated (leave-groups-out) with a concordance of 78.4%, a specificity of 86.1% and a sensitivity of 57.9%. The model was run on a set of 51,240 EINECS chemicals, and 74% were within the domain of the model. Approximately 9.2% of the chemicals in domain of the model were predicted active for AR antagonism. Case Ultra identified common alerts among different chemicals. By comparing biophores (alerts in positive chemicals) and biophobes (alerts in negative chemicals), it appears that chlorine (Cl) and bromine (Br) enhance AR antagonistic effect whereas nitrogen (N) seems to decrease the effect. A specific study of benzophenones and benzophenone derivatives indicate that a radical with a “high” number of atoms in 4-position and/or other positions generally decrease the anti-androgenic effect.
Balanced Incomplete Block Designs for Inter-Rater Reliability Studies

Occasionally, an inter-rater reliability study must be designed so that each subject is rated by fewer than all the participating raters. If there is interest in comparing the raters' mean levels of rating, and if it is desired that each mean be estimated with the same precision, then a balanced incomplete block design for the reliability study is indicated. Methods for executing the design and for analyzing the resulting data are presented, using data from an actual study for illustration.
Reinforcing adjectives: A cognitive semantic perspective on grammaticalization

This passage sparked off the idea of a study where I could combine my general interest in both cognitive semantics and grammaticalization theory with a more specific interest in the lexemes in the domain of degree (Paradis 1997, forthc). I was intrigued by what happens semantically when lexemes are recruited to the domain of degree and hence grammaticalized. In other words, what is grammaticalization in lexical semantic terms? This paper is a case study of ten lexemes with a reinforcing reading. They are:
Static and Dynamic In vitro Models for Studying Secondary Plant Metabolite 1 Digestion and Bioaccessibility 2 3

Static and Dynamic In vitro Models for Studying Secondary Plant Metabolite 1 Digestion and Bioaccessibility 2 3 M. Alminger, A. -M. , Aura, T. Bohn, C. Dufour , S.N. El, A. Gomes, S. 4 Karakaya, M.C. Martínez-Cuesta, G.J. McDougall, T. Requena, C.N. Santos 10* 5 6 Department of Chemical and Biological Engineering, Chalmers University of 7 Technology, SE 412 96, Gothenburg, Sweden. marie.alminger@chalmers.se 8 VTT Technical Research Centre of Finland, P.O. Box 1000, Tietotie 2, Espoo, FI9 02044 VTT, Finland. anna-marja.aura@vtt.fi 10 Environment and Agro-biotechnologies Department, Centre de Recherche Public 11 Gabriel Lippmann, Luxembourg. bohn@lippmann.lu 12 INRA, UMR408 Safety and Quality of Plant Products, F-84000 Avignon, France. 13 claire.dufour@avignon.inra. fr 14 University of Avignon, UMR408 Safety and Quality of Plant Products, F-84000 15 Avignon, France. claire.dufour@avignon.inra. fr 16 Engineering Faculty Department of Food Engineering, Ege University, 35100 Izmir, 17 Turkey. sibel.karakaya@ege.edu. tr, sedef.el@ege.edu. tr 18 Instituto de Biologia Experimental e Tecnológica, Apartado 12, 2781-901 Oeiras, 19 Portugal. andreiagomes@itqb.unl. pt, csantos@itqb.unl. pt 20 Instituto de Investigación en Ciencias de la Alimentación CIAL (CSIC-UAM), Nicolás 21 Cabrera 9, 28049 Madrid, Spain. carmen.martinez@csic.es , t.requena@csic.es 22
Actinomyces bowdenii sp. nov., isolated from

4 National Veterinary Institute, Anstalt, Uppsala, Sweden 3 Culture Collection, Four strains of a previously undescribed Actinomyces-like bacterium were isolated from canine and feline clinical specimens. Phenotypic studies indicated the strains were members of the genus Actinomyces, and most closely resembled Actinomyces viscosus serotype I and Actinomyces slackii. Comparative 16s rRNA gene sequencing studies demonstrated the unknown bacterium constitutes a new subline within a group of Actinomyces species, which includes Actinomyces bovis, the type species of the genus. Based on phylogenetic and phenotypic evidence it is proposed that the unknown bacterium be classified as Actinomyces bowdenii sp. nov. The type strain of Actinomyces bowdenii is CCUG 3742IT.
TITLE : Nanoparticle Contrast Agents for Enhanced Microwave Imaging and Thermal Treatment of Breast Cancer

Microwave-induced thermoacoustic tomography (MI-TAT) is an imaging technique that exploits dielectric contrast at microwave frequencies while creating images with ultrasound resolution. We propose the use of microbubbles as a dielectric contrast agent for enhancing the sensitivity of MI-TAT for breast cancer detection. As an initial investigation of this concept, we experimentally studied the extent to which the microwave-induced thermoacoustic response of a dielectric target is modified by the presence of airfilled glass microbubbles. We created mixtures of ethylene glycol with varying weight percentages of microbubbles and characterized both their microwave properties (0.5–6 GHz) and thermoacoustic response when irradiated with microwave energy at 3 GHz. Our data show that the microbubbles considerably lowered the relative permittivity, electrical conductivity and thermoacoustic response of the ethylene glycol mixtures. We hypothesize that the interstitial infusion of microbubbles to a tumor site will similarly create a smaller thermoacoustic response compared to the pre-contrast-agent response, thereby enhancing sensitivity through the use of differential imaging techniques. (Some figures in this article are in colour only in the electronic version)
Distortion in ISAR Imaging and Restoration of Distorted ISAR Images

Abstract : A physics based numerical model has been developed to describe the gross distortion on ISAR images due to small perturbed target motion. Quantitative results obtained under controlled experimental conditions on the target's motion have confirmed that large distortion in the ISAR image of the target can occur. The experimental data give excellent agreement with the model results. The distortion is a consequence of the phase modulation effect in the radar return signal, as a result of small fluctuating perturbed motion of the target. This gives rise to distortion of the image in the cross-range direction. The distortion can be corrected by applying time-frequency analysis. The Short-Time Fourier transform is used in this paper to examine some of the issues in refocusing distorted ISAR images.
Information, Attention, and Decision Making

More than five decades after the seminal works on how individuals process information and make decisions within organizations were published (Cyert & March, 1963; Simon, 1957), the thesis that individuals, groups, and organizations are bounded in their rationality and ability to attend to information continues to remain salient. Individuals and organizations display cognitive and motivational biases, both in their attention to information and in their decisions based on that information (De Dreu, Nijstad, & van Knippenberg, 2008; Ocasio, 2011; Tversky & Kahneman, 1974). The nature and volume of information, and managers' behaviors in seeking and using information, have undergone massive transformation over these past 50 years, which have seen the emergence of electronics, computers, and the Internet. Advances in information technology, mobile communications, and big data collection and storage mean that more people and firms have access to more information than ever before (George, Haas, & Pentland, 2014; Hilbert & Lopez, 2011). Yet, our frameworks of attention and decision making have not seen corresponding radical shifts. Perhaps, the underlying processes of decision making remain the same despite the transformative change in context. Alternatively, it is plausible that our theoretical advances have not matched the speed of change in information contexts confronted by businesses and policymakers alike. The growing ubiquity of information provides unprecedented opportunities—for learning, creativity , and innovation, as well as for performance. Understanding how to leverage these possibilities becomes an important challenge for management research and practice. However, the abundance of information also implies increasing competition for the attention of individuals, groups, and organizations ; increasing potential for information overload to fuel biases in decision making; increasing costs of collecting, storing, and sharing information ; and an increasing risk that all this information becomes a distraction from more relevant information or indeed from the job itself. Thus, a key challenge in the information age is to manage this wealth of available information and channel it to productive ends. In this thematic issue, we explore how management in the information age potentially differs and challenges our existing theoretical frameworks and assumptions. We assembled articles that address the rapidly evolving opportunities and challenges of managing in this new information-rich context. These articles are motivated by emergent themes and trends that set the stage for current and future scholarly research on information, attention, and decision making. We follow a brief analysis of these articles with potential directions for future research and highlight broader pastures where systematic research could further improve our understanding of how we live and work in the information age. Disciplines Management Sciences and Quantitative Methods This journal article is available at ScholarlyCommons: https://repository.upenn. edu/mgmt_papers/203
A demand classification scheme for spare part inventory model subject to stochastic demand and lead time

In this study, we aim to develop a demand classification methodology for classifying and controlling inventory spare parts subject to stochastic demand and lead time. Using real data, the developed models were tested and their performances were evaluated and compared. The results show that the Laplace model provided superior performance in terms of service level, fill rate (FR) and inventory cost. Compared with the current system based on normal distribution, the proposed Laplace model yielded significant savings and good results in terms of the service level and the FR. The Laplace and Gamma optimisation models resulted in savings of 82 and 81%, respectively.
3-D-Printed Compact Wideband Magnetoelectric Dipoles With Circular Polarization

A three-dimensional (3-D)-printed compact unidirectional wideband antenna, based on two crossed magnetoelectric dipoles, is proposed in this letter. The antenna consists in folding the electrical dipole elements; thus, the surface of the radiation element is reduced to 0.23<italic>λ</italic><sub>0</sub> × 0.23<italic>λ</italic> <sub>0</sub>, where <italic>λ</italic><sub>0</sub> is the wavelength at the lowest operation frequency for a standing-wave ratio (SWR) <2.5, corresponding to a reduction factor of 48%. Despite a complex 3-D structure, each dipole arm is prototyped using 3-D printing technology. The excellent agreement between measured and simulated results (impedance and radiation) demonstrates the quality of such realization process for low-cost prototyping of such antenna structure. In dual-polarization mode, the measured input impedance bandwidth is 57% from 1.67 to 2.94 GHz with an SWR <2.5. Circular-polarization mode is obtained by connecting a 90° hybrid coupler circuit. Axial ratio is lower than 3 dB in measured and simulated results from 1.5 to 3 GHz.
Comparing Italian pre-service and in-service teachers' believes on competence based learning

This research highlights pre-service and in-service teachers’ beliefs on competencebased learning: Teachers who want to facilitate the acquisition, development and strengthening of competencies in their students. From an assessment perspective, such a competence-based approach implies providing students with authentic learning situations related to real life. At the same time evaluation needs to switch from quantitative and standardized tests to formative moments in which students become aware of their learning weaknesses and understand how to cooperate and use resources in order to make the most out of their learning process. The research is based on a 15-item questionnaire that was completed by 442 pre-service and in-service teachers attending a compulsory annual training course. The questionnaire’s main themes are related to competencies, learning objectives, study contents, teacher-student relation, and technologies. The questionnaire, administered online during the month of April 2015 in two different Italian universities, reports as main results a statistical difference between pre service and in service teachers about the perceived importance of competencies in their teaching practice.
Zrównoważony rozwój województw - analiza porównawcza

The aim of the study is to determine the degree of development of voivodeships and to classify them into the rankings. The research was conducted on the grounds of four methods of linear ordering (standardization, zero unitarization, Z. Hellwig and TOPSIS). Study period covers year 2014. Fifteen variables were chosen from three different areaseconomic, social and environmental. Both overall development and development of each voivodeship, based on particular dimensions, were analyzed. Research showed that mazowieckie voivodeship was the top-ranked developed region, while warmińskomazurskie voivodeship was the least developed. Based on ranking paralel benchmark, standardization method was chosen as the best ranking.
On the goals, principles, and procedures for prescriptive grammar: Singular they

ABSTRACT This paper examines the goals of prescriptive grammar and the causes and consequences of the rift between prescriptive and theoretical linguistics. It also proposes a principle for guiding prescriptive recommendations in the future as well as a theoretical framework and procedure for predicting the consequences of prescriptive recommendations. The procedure illustrates a hypothetical prescription: the substitution of singular they for prescriptive he. Projected benefits the prescription include neutral connotation, naturalness, simplicity, and lexical availability. Projected costs include covert and overt referential ambiguity; partial ambiguity; conceptual inaccuracy; loss of precision, imageability, impact, and memorability; bizarreness involving certain referents and case forms; distancing and dehumanizing connotations; unavailability of the ‘he or she’ denotation; potentially disruptive and long-lasting side effects on other areas of the language. Procedures are also illustrated for determining the relative frequency of such costs and benefits and for estimating the relative disruptiveness of the costs normal language use. Implications of the data for several issues general interest to linguistics and psychology are explored. (Ambiguity, language change, prescriptive grammar, theoretical linguistics, language planning, pronouns, neologisms.)
Constraints on unparticle interactions from invisible decays of Z, quarkonia and neutrinos

Unparticles () interact weakly with particles. The direct signature of unparticles will be in the form of missing energy. We study constraints on unparticle interactions using totally invisible decay modes of Z, vector quarkonia V and neutrinos. The constraints on the unparticle interaction scale Λ are very sensitive to the dimension d of the unparticles. From invisible Z and V decays, we find that with d close to 1 for vector , the unparticle scale Λ can be more than 104 TeV, and for d around 2, the scale can be lower than one TeV. From invisible neutrino decays, we find that if d is close to 3/2, the scale can be more than the Planck mass, but with d around 2 the scale can be as low as a few hundred GeV. We also study the possibility of using V(Z)→γ+ to constrain unparticle interactions, and find that present data give weak constraints.
Final LDRD report: Low Dislocation GaN via Defect-Filtering, Self-Assembled SiO 2 -Sphere Layers

The III-nitride (AlGaInN) materials system forms the foundation for white solid-state lighting, the adoption of which could significantly reduce U.S. energy needs. While the growth of GaN-based devices relies on heteroepitaxy on foreign substrates, the heteroepitaxial layers possess a high density of dislocations due to poor lattice and thermal expansion match. These high dislocation densities have been correlated with reduced internal quantum efficiency and lifetimes for GaN-based LEDs. Here, we demonstrate an inexpensive method for dislocation reduction in GaN grown on sapphire and silicon substrates. This technique, which requires no lithographic patterning, GaN is selectively grown through self-assembled layers of silica microspheres which act to filter out dislocations. Using this method, the threading dislocation density for GaN on sapphire was reduced from 3.3 × 10 cm to 4.0 ×10 cm, and from the 10 cm range to ~6.0 × 10 cm for GaN on Si(111). This large reduction in dislocation density is attributed to a dislocation blocking and bending by the unique interface between GaN and silica microspheres.