Miracle-dz/UniFAR-FTUs huggingface dataset:
Young Adults' Experience of Mobile Device Disruption of Proximate Relationships

This study examined the frequency of cellphone distraction during face-to-face encounters, comparing rates in men and women. It also assessed whether people report that expression of empathy suffers as a result of cellphone use. Individual differences in annoyance associated with others’ attending to their mobile devices were also evaluated. Nearly a third of the young adults surveyed (30%) reported routinely being ignored by their significant other due to mobile device use; only 9% of respondents reported having never been ignored. Roughly half stated that female friends routinely ignore them; nearly as many male friends reportedly did the same. Nearly half (44%) of the respondents reported being bothered by this. About a third of participants admitted that they themselves routinely ignore others during face-to-face encounters due to cellphone use. Personality differences appeared to mediate reactions to cellphone relationship disruption. As expected, perspectivetaking was associated with less ignoring of others. Self-esteem seemed to affect perceptions of others’ distraction; those higher in self-esteem perceived less interference. Both low self-esteem and depression were associated with greater belief that mobile devices interfere with empathy and greater irritation with others’ cellphone use.
Conference on Intelligent Computation in Manufacturing Engineering-CIRP ICME ' 16 Data mining techniques applied to a manufacturing SME

This paper examines how data mining, an aspect of analytical science, can be applied to assist a Small to Medium Enterprise (SME) industry using unsupervised learning techniques, association rules and time-series analysis. Whilst recent developments have meant it is now possible for SME to compile large amounts of commercial data, this information is rarely utilised effectively. The study builds on a number of standard data mining techniques to produce a tailored set of analyses that provide maximum benefit to the company. Self-Organising Maps were utilised to visualise the core characteristics of the firm’s customers. The study outlines a new technique to determine associations between customer variables using the arules package available within RStudios. Finally, time-series forecasting was conducted highlighting the seasonal variations and trends for potential growth in the coming year. © 2016 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the International Scientific Committee of “10th CIRP ICME Conference".
Additive cellular automata as an on-chip test pattern generator

Cellular Automata (CA) has been already proposed for generation of pseudo-random, pseudo-exhaustive and two-pattern test vectors. In the present work, a new concept of intermediate boundary CA has been projected that circumvents the problems associated with the generation of pseudo-random patterns using null and periodic boundary CA. Generation of an arbitrary set of deterministic test patterns for combinational logic is next investigated. Evaluating the given pattern set as a pseudo-noise (PN) sequence, a CA can be identified that generates the pattern set with minimal overhead. The best possible CA is picked up based on the analytical study of phaseshift analysis of various CA stages. Experimental results establishes this scheme as the desirable alternative to the conventional 'store and generate' schemes. <<ETX>>
Nitrosococcuswatsonii sp . nov . , a newspeciesofmarine obligate ammonia-oxidizing bacteria that is notomnipresent in theworld ’ s oceans : calls tovalidate thenames ‘ Nitrosococcushalophilus ’ and ‘ Nitrosomonasmobilis ’

Nitrosococcuswatsonii sp. nov., a newspeciesofmarine obligate ammonia-oxidizing bacteria that is notomnipresent in theworld’s oceans: calls tovalidate thenames ‘Nitrosococcushalophilus’and ‘Nitrosomonasmobilis’ Mark A. Campbell, Patrick S.G. Chain, Hongyue Dang, Amal F. El Sheikh, Jeanette M. Norton, Naomi L. Ward, Bess B. Ward & Martin G. Klotz Evolutionary and Genomic Microbiology Laboratory, Department of Biology, University of Louisville, Louisville, KY, USA; Los Alamos National Laboratory, Genome Science Group, Bioscience Division, Los Alamos, NM, USA; Metagenomics Program, Joint Genome Institute, Walnut Creek, CA, USA; Center for Microbial Ecology, Michigan State University, East Lansing, MI, USA; Centre for Bioengineering and Biotechnology & State Key Laboratory of Heavy Oil Processing, China University of Petroleum (East China), Qingdao, China; Department of Plants, Soils and Climate, Utah State University, Logan, UT, USA; Department of Molecular Biology, University of Wyoming, Laramie, WY, USA; and Department of Geosciences, Princeton University, Princeton, NJ, USA
Improvement in Power Transfer Capability of an Interconnected Power System without Contingency

Power Transfer Capability is an important index in today’s power markets with large volume of inter-area power exchanges and wheeling transactions taking place on hourly basis. Its computation helps to achieve a viable technical and commercial transmission operation. The aim of my research was to evaluate power transfer capability and also to improve it using compensation technique. Load flow of 30-bus system was carried out considering normal conditions without contingency. Base and optimized results shows that how compensation helps to improve system condition and tie-flows. Parameters like voltage magnitude, L-index, MW losses, MSV are computed to analyze the system performance.
Leaching of heavy metals from fly ash

Disposal of coal fly ash is a major issue due to its potential to cause surface and groundwater contamination. Stabilization is one of the effective methods of dealing with heavy metals in contaminated soil. In this study, the stabilization was evaluated using leaching tests. Fly ash samples was applied to the agricultural soil in the ratio of 1:9 in order to investigate the concentration of available metals (Cd, Zn, Ni, Mn, Cu, Cr and Fe) in leachates from 0 – 15 days of stabilization. The different mobilization media, namely deionized water and acidified water (deionized water acidified with nitric acid solution to pH = 4.0) was passed through to the soil-fly ash mixtures in the columns. Soil and fly ash samples were characterized for their physical and chemical properties as their properties greatly influenced the leaching potential. The heavy metals concentrations were analyzed by using Flame Atomic Absorption Spectrophotomter (FAAS). The results obtained from the leaching experiments showed that the addition of fly ash to agricultural soil had reduced the concentrations of available metals except for Cr. pH and electrical conductivity of leachates were analyzed and results found that pH increased while electrical conductivity decreased from 0 day to 15 days of contact time. Statistical analysis showed significant differences (P < 0.05) for particular metals between all treatments for almost at all contact time.
Financial Flexibility Across the Euro Area and the UK

We use a large database of more than 685,000 European firms to show that financial flexibility attained through conservative leverage policies is more important for private, small, medium-sized and young firms and for firms in countries with lower access to credit and weaker investor protection. Further, using the recent financial crisis as a natural experiment, we show that financial flexibility status allows companies to reduce the negative impact of liquidity shocks on their investment decisions. Our findings support the hypothesis that financial flexibility relates to companies JEL Classification: G31, G32, D92
Nash equilibria in a model of multiproduct price competition: an assignment problem

We study the market interaction of a finite number of single-product firms and a representative buyer, where the buyer consumes bundles of these goods. The buyers' value function determines their willingness to pay for subsets of goods. We show that subgame perfect Nash-equilibrium outcomes are solutions of the linear relaxation of an integer programming assignment problem and that they always exits. The (subgame perfect) Nash-equilibrium price set is characterized by the Pareto frontier of the associated dual problem's projection on the firms' price vectors. We identify the Nash-equilibrium prices for monotonic buyers' value functions and, more importantly, we show that some central solution concepts in cooperative game theory are (subgame perfect) equilibrium prices of our strategic game.
Model-Based Stress Tests: Linking Stress Tests to VaR for Market Risk

Under the new capital accord stress tests are to be included in market risk regulatory capital calculations. This development necessitates a coherent and objective framework for stress testing portfolios exposed to market risk. Following recent criticism of stress testing methods our tests are conducted in the context of risk models, building on the VaR literature. First, to identify the most suitable risk models for stress testing, we apply an extensive back testing procedure that focuses on extreme market movements. We consider eight possible risk models including both conditional and unconditional models and four possible return distributions (normal, Student's t, empirical and normal mixture) applied to three heavily traded currency pairs using a sample of daily data spanning more than 20 years. Finding that risk models accommodating both volatility clustering and heavy tails are the most accurate predictors of extreme returns, we develop a corresponding model-based stress testing methodology. Our results are compared with traditional stress tests and we assess the implications for capital adequacy. On the basis of our results we conclude that the new recommendations for market risk regulatory capital calculation will have little impact on current levels of foreign exchange regulatory capital.
DOES INDIVIDUAL PERSONALITY TYPE INFLUENCE DIETARY TASTE PREFERENCE AMONG SOUTH DAKOTA STATE UNIVERSITY ( SDSU ) STUDENTS ?

People who exhibit prosocial (i.e., extraverted) behavior are often characterized as being “sweet,” while those exhibiting more introverted behaviors are sometimes labeled as “bitter,” “sour,” etc. Such social personifications, apart from their value as practical communication, may actually intimate complex personality traits. Positive correlations between hedonic response to taste sensation and personality type have been reported in the published literature and have been advanced as potentially predictive indicators of dietary habits and even diet-related disease susceptibility (e.g. obesity, diabetes, heart disease, cancers, etc.). Such reports inspired us to hypothesize that individual hedonic response to sweet tastes would predict prosociality within a South Dakota State University (SDSU) student demographic. To explore this hypothesis, we modified standardized personality type and taste preference survey instruments and systematically administered them to students randomly selected from two distinct SDSU student sub-populations (N = 31). Surveys were modified to score only personality type (i.e., introvert vs. extravert) and taste preference (i.e., salty vs. sweetness). In contrast to some previously published studies, we detected no statistically significant positive correlation between personality type and taste preference response scores (one-tailed Pearson product-moment correlation analysis (α = 0.025; r = 0.203; P = 0.274). Because our study suffered from reduced statistical power (relative to previously published studies) and because subjects reported some confusion in understanding personality type survey instructions (in post-study interviews), we conclude that these two factors likely contributed experimental artifact sufficient to account for our contradictory results.
Drug Adherence among Diabetic and Hypertensive Patients in Association with Demographic and Healthy Behavior

Drug adherence has been taken an imperative role in chronic disease therapy, because, adherence is required in lifelong drug therapy, which is indicated for the most chronic conditions. The aim of this study was to investigate adherence rate among chronic patients in relations to the demographic data, medical and health conditions in Kurdistan. The data have been collected depending on the designed questionnaire of the project and the eight items Morisky green scale (MMAS-8) for measuring adherence level. In this study, the high adherence level was 96(29.8%), and moderate and lower adherence level were, 163(50.6%) and 63(19.6%) respectively. The main causes of low adherence regarding to intentional behavior were patients feeling hassle and difficulty with treatment plan.
The Neglected Elements of Implementing Strategic Succession Management in Public Organizations

Regardless of the extent to which succession management is implemented in the private sector, it is still overlooked in the public sector. Traditional succession management is evolving providing a better alignment between business strategies and HR strategies. Succession management brings sustainable effectiveness for succession programs through career path development, knowledge and skill transfer, job retention, as well as high-potential candidates’ empowerment for upcoming vacancies. By way of a systematic literature review, we bring into focus strategic succession management in public organizations and discuss best ways of implementation. Keywords—Succession management, strategic succession management, public organization, succession management model.
Study on the Matching Algorithm and 3D Virtual Reality System Based on SilverLight

Silverlight technology is a new generation of rich internet application technology. The paper proposes a new solution based on the Silverlight technology to achieve a 3D virtual reality system which takes the pictures around the objects with 360 degree displaying in the local computer or a web page. The 3D visual sense and image matching of this system are the key technical problems. The automatic matching technology in image synthesis field plays a very important role in the system. Based on the SURF algorithm, this paper takes strategies of density threshold suppression to reduce the number of matched feature points; using the quasi Euclidean distance to complete the feature points matching process, the improved algorithm also greatly reduces the matching time of feature points and improves the matching accuracy. Through theoretical analysis and experimental contrast, demonstrates the reliability and validity of the algorithm.
RoboTAP: Target priorities for robotic microlensing observations

Context. The ability to automatically select scientifically-important transient events from an alert stream of many such events, and to conduct follow-up observations in response, will become increasingly important in astronomy. With wide-angle time domain surveys pushing to fainter limiting magnitudes, the capability to follow-up on transient alerts far exceeds our follow-up telescope resources, and effective target prioritization becomes essential. The RoboNet-II microlensing program is a pathfinder project, which has developed an automated target selection process (RoboTAP) for gravitational microlensing events, which are observed in real time using the Las Cumbres Observatory telescope network. Aims. Follow-up telescopes typically have a much smaller field of view compared to surveys, therefore the most promising microlensing events must be automatically selected at any given time from an annual sample exceeding 2000 events. The main challenge is to select between events with a high planet detection sensitivity, with the aim of detecting many planets and characterizing planetary anomalies. Methods. Our target selection algorithm is a hybrid system based on estimates of the planet detection zones around a microlens. It follows automatic anomaly alerts and respects the expected survey coverage of specific events. Results. We introduce the RoboTAP algorithm, whose purpose is to select and prioritize microlensing events with high sensitivity to planetary companions. In this work, we determine the planet sensitivity of the RoboNet follow-up program and provide a working example of how a broker can be designed for a real-life transient science program conducting follow-up observations in response to alerts; we explore the issues that will confront similar programs being developed for the Large Synoptic Survey Telescope (LSST) and other time domain surveys.
Benthic sulfate reduction along the Chesapeake Bay central channel. II. Temporal controls

Seasonal and interannual controls of benthic sulfate reduction (SR) were examined at 3 sites (upper (UB), mid- (MB) and lower (LB) bay) along the Chesapeake Bay central channel, from early spring through fall, for 6 yr (1989 to 1994). The combined influences of temperature, sulfate, organic loading and bioturbation affected seasonal SR rates differently in the 3 regions. Consistently low SR rates at UB resulted from low overlying-water sulfate concentrations and the dominance of refractory organic terrestrial material. Combined seasonal variation in temperature and sulfate accounted for 50% of the annual variability in 0 to 2 cm depth interval SR rates, while sediment organic content had no significant seasonal influence. In contrast, MB and LB sites had high rates of SR fostered by high levels of overlying water SO4 2- and organic input dominated by labile phyto- plankton detritus. New organic loading (measured as chl a) stimulated 0 to 2 cm SR during spring at both sites. Combined organic quantity (as particulate C and/or N) and temperature accounted for >75% of the variability in 0 to 2 cm SR at MB during spring and fall. Molecular diffusion supplied 25 to 45% of the SO4 2- needed to fuel 0 to 12 cm depth interval SR at MB, with the balance presumably supplied by S-recycling. Interannual differences in summertime SR rates were linked to the extent of freshwater flow during spring, with high-flow years associated with high SR rates at UB and MB, and low rates at LB. The negative trend between benthic SR and river flow at LB may result from the up- estuary transport of senescing organic matter in bottom water, which increases in the lower reach of the estuary with increasing freshwater inflow.
The Genetic Basis of Lateralization

This is the author's final draft of the paper published as Chapter 5 of : Language lateralization and psychosis / edited by Iris E.C. Sommer, Rene S. Kahn - Cambridge : Cambridge University Press, 2009. It appears here with the permission of the publisher and the editor. The final version is available from http://www.cambridge. org/uk/catalogue/catalogue.asp? isbn=9780521882842
Reflections of Active Galactic Nucleus Outbursts in the Gaseous Atmosphere of M87

We combined deep Chandra, ROSAT HRI, and XMM-Newton observations of M87 to study the impact of active galactic nucleus (AGN) outbursts on its gaseous atmosphere. Many X-ray features appear to be a direct result of repetitive AGN outbursts. In particular, the X-ray cavities around the jet and counterjet are likely due to the expansion of radio plasma, while rings of enhanced emission at 14 and 17 kpc are probably shock fronts associated with outbursts that began 1-2 × 107 yr ago. The effects of these shocks are also seen in brightenings within the prominent X-ray arms. On larger scales, ~50 kpc from the nucleus, depressions in the surface brightness may be remnants of earlier outbursts. As suggested for the Perseus Cluster by Fabian and his coauthors, our analysis of the energetics of the M87 outbursts argues that shocks may be the most significant channel for AGN energy input into the cooling-flow atmospheres of galaxies, groups, and clusters. For M87, the mean power driving the shock outburst, 2.4 × 1043 ergs s-1, is 3 times greater than the radiative losses from the entire cooling flow. Thus, even in the absence of other energy inputs, outbursts every 3 × 107 yr are sufficient to quench the flow.
A Family of Generalized Linear Models for Repeated Measures With Normal and Conjugate Random Effects (pp.188)

Non-Gaussian outcomes are often modeled using members of the so-called exponential family. Notorious members are the Bernoulli model for binary data, leading to logistic regression, and the Poisson model for count data, leading to Poisson regression. Two of the main reasons for extending this family are (1) the occurrence of overdispersion, meaning that the vari- ability in the data is not adequately described by the models, which often exhibit a prescribed mean-variance link, and (2) the accommodation of hier- archical structure in the data, stemming from clustering in the data which, in turn, may result from repeatedly measuring the outcome, for various mem- bers of the same family, etc. The first issue is dealt with through a variety of overdispersion models, such as, for example, the beta-binomial model for grouped binary data and the negative-binomial model for counts. Clustering is often accommodated through the inclusion of random subject-specific ef- fects. Though not always, one conventionally assumes such random effects to be normally distributed. While both of these phenomena may occur simul- taneously, models combining them are uncommon. This paper proposes a broad class of generalized linear models accommodating overdispersion and clustering through two separate sets of random effects. We place particular emphasis on so-called conjugate random effects at the level of the mean for the first aspect and normal random effects embedded within the linear pre- dictor for the second aspect, even though our family is more general. The binary, count and time-to-event cases are given particular emphasis. Apart from model formulation, we present an overview of estimation methods, and then settle for maximum likelihood estimation with analytic-numerical in- tegration. Implications for the derivation of marginal correlations functions are discussed. The methodology is applied to data from a study in epileptic seizures, a clinical trial in toenail infection named onychomycosis and sur- vival data in children with asthma.
The Professional Staff – Student Outcomes Framework : Investigating the Contributions of Higher Education Professional Staff to Student Outcomes

A university’s key resource is its academic and professional staff. Although professional staff comprise more than half the Australian higher education workforce, little research has been done into the work of professional staff, particularly in relation to the core business of learning and teaching. Yet a more rigorous understanding of the contribution of higher education professional staff to student outcomes has the potential to enhance their institutions’ organisational sustainability. In this study, a framework was developed for investigating the contributions of higher education professional staff to student outcomes. This paper discusses the development of that framework, the Professional Staff–Student Outcomes (PSSO) Framework. The PSSO Framework was developed through a 9-step process that used the results of a meta-study of research literature on the impact of student support services on student outcomes and three rounds of a modified Delphi study. Member checking of the PSSO Framework was completed, and the framework was then used to frame a case study.