Miracle-dz/UniFAR-FTUs huggingface dataset:
Consumer-company identification: development and validation of a scale

Consumer-Company Identification is a relatively new issue in the marketing academia. Bhattacharya and Sen (2003) explored the Social Identity theory and established Consumer-Company Identification as the primary psychological substrate for deep relationships between the organization and its customers. In the present study a new instrument was constructed and validated that permits the empirical verification of the phenomenon described by Bhattacharya and Sen (2003). The scale validated in the present study is the first to embrace the idiosyncrasies of the identification between consumers and organizations. The process was conducted through 3 independent data collections. The first one was collected using literature search and in-depth interviews with 12 undergraduate students and bachelors from different professional fields. The second data base was obtained from a survey of 226 undergraduate students from 3 universities in 2 big Brazilian cities. This data base was used for purification purposes using Explanatory Factorial Analysis. Finally, the Structural Equation Modeling technique was applied to analyze a third data base composed of 387 observations collected from the same 3 universities of the second study. The results confirm the content, convergent and discriminant validity of the new scale proposed.
Quantitative Analysis Reveals Expansion of Human Hematopoietic Repopulating Cells After Short-term Ex Vivo Culture

Ex vivo culture of human hematopoietic cells is a crucial component of many therapeutic applications. Although current culture conditions have been optimized using quantitative in vitro progenitor assays, knowledge of the conditions that permit maintenance of primitive human repopulating cells is lacking. We report that primitive human cells capable of repopulating nonobese diabetic (NOD)/severe combined immunodeficiency (SCID) mice (SCID-repopulating cells; SRC) can be maintained and/or modestly increased after culture of CD34+CD38− cord blood cells in serum-free conditions. Quantitative analysis demonstrated a 4- and 10-fold increase in the number of CD34+CD38− cells and colony-forming cells, respectively, as well as a 2- to 4-fold increase in SRC after 4 d of culture. However, after 9 d of culture, all SRC were lost, despite further increases in total cells, CFC content, and CD34+ cells. These studies indicate that caution must be exercised in extending the duration of ex vivo cultures used for transplantation, and demonstrate the importance of the SRC assay in the development of culture conditions that support primitive cells.
Fetch bottleneck and Branch penalty reduction using 2 instruction prefetch queues Guru

— This paper proposes an idea to reduce branch penalty in a pipelined architecture by making novel use of two instruction pre-fetch queues, primary and auxiliary. When there is no branch instruction, both the queues together act as a single queue, referred to as an alternate mode of operation. Whenever a branch instruction is present in the current instruction mix, there is a switch over to the branch mode of operation in which the primary queue fetches from the address returned by the predictor while the auxiliary queue fetches from the other path until the branch address is resolved. Hence the next instruction (irrespective of whether the branch is taken or not) is always available. The idea has been implemented using simplescalar toolset 3.0 and tested on SPECINT2000 benchmarks, and a 25-55% improvement in IPC has been observed. A comparison of our idea with other architectures with two instruction fetch queues is also presented.
TestFul: An Evolutionary Test Approach for Java

This paper presents TestFul, an evolutionary testing approach for Java classes that works both at class and method level. TestFul exploits a multi-objective evolutionary algorithm to identify the “best” tests. The paper introduces the main elements of TestFul. It also compares TestFul against well-known search-based solutions using a set of classes taken from literature, known software libraries, and independent testing benchmarks. The comparison considers statement and branch coverage, size of generated tests, and generation time. On considered classes, TestFul generates better tests than other search-based solutions, and achieves higher structural coverages with tests small enough to be usable.
Interrogation Laser for a Strontium Lattice Clock

We report on the setup and characterization of a 698-nm master-slave diode laser system to probe the <sup>1</sup>S<sub>0</sub>-<sup>3</sup>P<sub>0</sub> clock transition of strontium atoms confined in a 1-D optical lattice. A linewidth on the order of about 100 Hz of the laser system has been measured with respect to an ultrastable 657-nm diode laser with 1-Hz linewidth using a femtosecond fiber comb as a transfer oscillator. The laser has been used to measure the magnetically induced <sup>1</sup>S<sub>0</sub>-<sup>3</sup>P<sub>0</sub> clock transition in <sup>88</sup>Sr, where a linewidth of 165 Hz has been observed. The transfer oscillator method provides a virtual beat signal between the two diode lasers that has been used to phase lock the 698-nm laser to the 1-Hz-linewidth laser at 657 nm, transferring its stability to the 698-nm laser system.
Multimodal control of a robotic wheelchair: Using contextual information for usability improvement

In this paper, a method to perform semi-autonomous navigation on a wheelchair is presented. The wheelchair could be controlled in semi-autonomous mode estimating the user's intention by using a face pose recognition system or in manual mode. The estimator was performed within a Bayesian network approach. To switch these two modes, a speech interface was used. The user's intention was modeled as a set of typical destinations visited by the user. The algorithm was implemented to one experimental wheelchair robot. The new application of the wheelchair system with more natural and easy-to-use human machine interfaces was one of the main contributions. as user's habits and points of interest are employed to infer the user's desired destination in a map. Erroneous steering signals coming from the user-machine interface input are filtered out, improving the overall performance of the system. Human aware navigation, path planning and obstacle avoidance are performed by the robotic wheelchair while the user is just concerned with “looking where he wants to go”.
Exploring riverine zooplankton in three habitats of the Illinois River ecosystem: Where do they come from?

We sampled three habitats (main channel, side channels, and backwater lakes) during 2 yr along 32 km of the Illinois River to compare zooplankton distribution and dynamics, as well as evaluate the possible effects of hydrology on taxonomic abundance and distribution. Zooplankton assemblages displayed both spatial and temporal variation. Whereas the riverine zooplankton assemblage was dominated by rotifers, the backwater lake assemblage was dominated by copepods. Zooplankton densities in the main channel peaked earlier in the season in both years than the backwater lake habitats. To determine if these patterns were caused by fluvial exchanges occurring between habitats during flooding, we sampled the connections between the backwater lake and main channel habitats and found that large numbers of zooplankton entered the main channel via these connections. Further, calculations of main channel population growth, birth, and death rates showed that population growth rates most commonly exceeded birth rates during the flooding period. Seasonal inoculums from off‐channel habitats could play an important role in riverine zooplankton dynamics. However, for the main channel to achieve the measured zooplankton densities, ~400,000 backwater lakes would be required and zooplankton would need to travel an unrealistic number of days and distance based on estimated growth rates. Thus, other mechanisms (hatching of resting eggs or in situ reproduction) are likely responsible for zooplankton abundances.
Investigation into the post-fault recovery time of a droop controlled inverter-interfaced microgrid

A two inverter microgrid, where each inverter uses droop control to share the network load, was simulated to investigate the recovery time after the clearance of a fault. A simple microgrid of only two inverters was used to understand interactions between different parameters within the microgrid after a fault had been cleared. Upon successful verification, a more complex microgrid could be used to test the ideas developed. This paper presents the fault response and the settling time of the droop controllers when the line inductance, trip setting and inverter fault current were changed in simulation. Results showed that the recovery time of the microgrid was most sensitive to the line inductance and least sensitive to the trip current of the inverters. When the line inductance was small the recovery time was less sensitive and when the line inductance was large the recovery time more sensitive to fault duration and fault current.
Pausible clocking: a first step toward heterogeneous systems

This paper describes a novel communication scheme, which is guaranteed to be free of synchronization failures, amongst multiple synchronous modules operating independently. In this scheme, communication between every pair of modules is done through an asynchronous FIFO channel; communication between a module and the FIFO is done using a request/acknowledge handshaking. Synchronization of handshaking signals to the local module clock is done in an unconventional way-the local clock built out of a ring oscillator is paused or stretched, if necessary, to ensure that the handshaking signal satisfies setup and hold time constraints with respect to the local clock. We constructed a test bed consisting of two synchronous modules with pausible clocking control and an asynchronous FIFO on a MOSIS 1.2 /spl mu/m CMOS chip. The resulting system functions reliably up to the local clock frequency of 220 MHz (according to SPICE simulation)-the maximum clock rate is limited by the ring oscillator not the pausible clocking control. Preliminary test results indicate that the fabricated chips operate correctly as simulated.
An Efficient MDS Array Code on Toleration Triple Node Failures in Storage System

Proper data placement schemes based on erasure correcting code are one of the most important components for a highly available data storage system. A new class of Maximum Distance Separable (MDS) array codes is presented for correcting triple storage failures, which is an extension of the double-erasure-correcting EVENODD code and is called the HDD-EOD code. The encoding and decoding procedures are described by geometrical line graph, which are easily implemented by soft hardware. Our analysis shows that the HDD-EOD code provides better decoding performance and higher reliability compared to other popular codes. Thus the HDD-EOD code is practically very meaningful for storage systems.
Heritability of ultimatum game responder behavior

Experimental evidence suggests that many people are willing to deviate from materially maximizing strategies to punish unfair behavior. Even though little is known about the origins of such fairness preferences, it has been suggested that they have deep evolutionary roots and that they are crucial for maintaining and understanding cooperation among non-kin. Here we report the results of an ultimatum game, played for real monetary stakes, using twins recruited from the population-based Swedish Twin Registry as our subject pool. Employing standard structural equation modeling techniques, we estimate that >40% of the variation in subjects' rejection behavior is explained by additive genetic effects. Our estimates also suggest a very modest role for common environment as a source of phenotypic variation. Based on these findings, we argue that any attempt to explain observed ultimatum bargaining game behavior that ignores this genetic influence is incomplete.
On the suitability of dynamic languages for hot‐reprogramming a robotics framework: a Python case study

The development of service robots has gained more attention over the last years. Advanced robots have to cope with many different situations emerging at runtime, while executing complex tasks. They should be programmed as dynamically adaptive systems, capable of adapting themselves to the execution environment, including the computing, user, and physical environment. Recently, dynamic languages are becoming widely used because of the high runtime adaptability they offer. Therefore, we have analyzed the suitability of these languages to implement robotic systems with high runtime adaptability requirements, using Python as case study because of its maturity. To evaluate their suitability, we have implemented a reflective robotics framework that can be programmed in both Java and any dynamic language supported by the standard Java Scripting API. An example scenario has been developed using Python to show how its distinguishing meta‐programming features have facilitated the development of runtime‐adaptable robotics services. Copyright © 2012 John Wiley & Sons, Ltd.
Study of plasma dynamics in a modulated pulsed power magnetron discharge using a time-resolved Langmuir probe

Modulated pulse power (MPP) technology is a derivative of high power pulsed magnetron sputtering that allows unprecedented user control over the growth process, although the critical time-dependent plasma properties during the power pulse have not been studied until now. Using a MPP plasma generator, pulses of custom voltage waveforms were generated and applied to the cathode of a 36 cm diameter circular planar magnetron. The I-V characteristics of the pulses are separable into distinct discharge stages. A time-resolved triple Langmuir probe was introduced to measure the temporal evolution of the plasma. Typical electron density of 5×1017 m−3 and electron temperature of 10 eV during the pulse were calculated from measured parameters. Plasma behaviors were observed to closely depend on the pulse waveforms. Various parameters, including pulse current, pulse frequency, pressure, and distance from the target, also affected the electron density and temperature, providing degrees of freedom to optimize the sput.
A Multistage Gene Normalization System Integrating Multiple Effective Methods

Gene/protein recognition and normalization is an important preliminary step for many biological text mining tasks. In this paper, we present a multistage gene normalization system which consists of four major subtasks: pre-processing, dictionary matching, ambiguity resolution and filtering. For the first subtask, we apply the gene mention tagger developed in our earlier work, which achieves an F-score of 88.42% on the BioCreative II GM testing set. In the stage of dictionary matching, the exact matching and approximate matching between gene names and the EntrezGene lexicon have been combined. For the ambiguity resolution subtask, we propose a semantic similarity disambiguation method based on Munkres' Assignment Algorithm. At the last step, a filter based on Wikipedia has been built to remove the false positives. Experimental results show that the presented system can achieve an F-score of 90.1%, outperforming most of the state-of-the-art systems.
Complete x86 instruction trace generation from hardware bus collect

Studying architectural improvements for microprocessors and their memory hierarchies and evaluating the corresponding performance generally need trace driven simulation. Hardware is modeled, benchmark traces are generated and applied to the model and performance data is measured and analyzed. We present a hardware/software approach to collect perfect x86 execution traces using a commercial analyzer.
Pliable Index Coding: The multiple requests case

The Pliable Index Coding problem is a recently proposed new formulation of the Index Coding problem where each client wants any one message that it does not have and the server tries to “satisfy” all the clients using the side information sets of each of the clients by broadcasting coded messages. We present two generalizations of the problem. Firstly, we consider the problem of each client requiring any t messages (t ≥ 1) that it does not have. If the cardinality of their side information sets is the same and there are n messages, then we show that O(min(t log n, t + log2 n)) coded broadcast messages are sufficient. For t ≥ log n, this shows a linear dependence on t independent of n. We also develop simple approximation algorithms for the problem and evaluate their performance through simulations. Secondly, we consider the problem of the server having incomplete side information. If the server only knows the size s of the side information sets (assumed to be all equal), we show that there exists a linear code using min(s + 1, n - s) coded messages. We also show that this is tight for linear codes by proving a matching lower bound.
Memory for details with self-referencing

Self-referencing benefits item memory, but little is known about the ways in which referencing the self affects memory for details. Experiment 1 assessed whether the effects of self-referencing operate only at the item, or general, level or whether they also enhance memory for specific visual details of objects. Participants incidentally encoded objects by making judgements in reference to the self, a close other (one's mother), or a familiar other (Bill Clinton). Results indicate that referencing the self or a close other enhances both specific and general memory. Experiments 2 and 3 assessed verbal memory for source in a task that relied on distinguishing between different mental operations (internal sources). The results indicate that self-referencing disproportionately enhances source memory, relative to conditions referencing other people, semantic, or perceptual information. We conclude that self-referencing not only enhances specific memory for both visual and verbal information, but can also disproportionately improve memory for specific internal source details.
Comparing Measure of Academic Progress (MAP) and Piers-Harris 2 Scores of Students with Emotional and Behavioral Disorders.

In this quantitative, archival study, academic achievement and self-concept scores were compared for middle-school students with EBD based on whether the students had been placed into a self-contained learning environment (SCLE) or a mainstreamed least restrictive environment (MLRE). Academic achievement scores and self-concept scores for 2007 were compared between the two groups (n = 70 for each group), with 2005 scores used as a baseline. The findings of the study demonstrated that when students with EBDs are given an opportunity with highly skilled professional staff members trained in both mental health therapy and special education, improvements are possible. In addition, this study enhanced both the broken-glass and Social, Academic, and Cognitive (SAC) theories by demonstrating the potential of integrating academic skills with emotional and behavioral support. Additional research is needed to investigate more intensive and innovative strategies designed to help students with EBDs succeed academically and socially. Comparing Measure of Academic Progress (MAP) and Piers-Harris 2 Scores of Students with Emotional and Behavioral Disorders Students with an emotional and behavioral disorder (EBD) are at risk for negative outcomes in academic, social, and behavioral domains (Clark, 2007; Hagner et al., 2008). These behavioral patterns also have long-term effects. Many individuals with an EBD have difficulties adjusting to life, and these difficulties become adult mental health issues (Epstein, Atkins, Cullinan, Kutash, & Weaver, 2008). Most research in the area of EBD has involved measuring and analyzing students with EBD in learning environments not taught by qualified personnel (Prather-Jones, 2011). Issues that affect academic achievement and self-concept in the learning environment of students with EBD include learning problems, unfair educational placement, differences in diagnosis requirements, the presence of unqualified professionals, inadequate educational placement procedures, and behavioral limitations that are uncontrollable (Boreson, 2006; Collaborative for Academic, Social, and Emotional Learning 2007; Rutherford, Quinn, & Mathur, 2007). Students with an EBD present challenges in various learning environments. More than 52% of students with an EBD have dropped out of high school during the first 2 years (National Center for Special Education Research, 2007; National Longitudinal Transition, 2007). For this study, both the broken-glass and Social, Academic, and Cognitive (SAC) theories were used for the EBD students that were educated in the SCLE and the MLRE. Broken Glass and Social, Academic and Cognitive Theories The broken-glass theory was first developed by Chisolm for students with an EBD that were educated in the SCLE. The theoretical foundation of the broken-glass theory is a synthesis of ideas from several theorists, as well as of research from the Collaborative for Academic, Social, and Emotional Learning (2007) and the William Glasser Institute (2007). The brokenglass
Health and economic outcomes of the emergence of third-generation cephalosporin resistance in Enterobacter species.

BACKGROUND This study evaluated the clinical and economic impact of the emergence of third-generation cephalosporin-resistant Enterobacter species. METHODS Mortality, length of hospitalization, and hospital charges were examined in a cohort that was selected from a group of 477 patients with initial cultures that yielded a third-generation cephalosporin-susceptible Enterobacter species. Case patients (n = 46) had subsequent cultures yielding a third-generation cephalosporin-resistant Enterobacter species. Control patients (n = 113) who did not develop resistance were matched to cases on site of Enterobacter infection and length of hospitalization prior to isolation of the initial susceptible organism. Multivariable analyses were used to adjust for confounding. RESULTS Twenty-six percent of cases died vs 13% of controls (P =.06). The median total hospital stay for cases was 29.5 days (interquartile range [IQR], 20-60) and 19 days for controls (IQR, 13-27; P<.001). The median hospital charge for cases was $79 323 (IQR, $34 546-$161 384) and for controls was $40 406 (IQR, $18 470-$79 005; P<.001). After adjusting for comorbidities, severity of illness, intensive care unit admission, surgery, transfer from another hospital, sex, and age, emergence of resistance was associated with increased mortality (relative risk, 5.02; P =.01), hospital stay (1.5-fold, P<.001), and hospital charges (1.5-fold, P<.001). Emergence of resistance had a median attributable hospital stay of 9 days and an average attributable hospital charge of $29 379. CONCLUSIONS Emergence of antibiotic resistance in Enterobacter species results in increased mortality, hospital stay, and hospital charges. Minimizing resistance in Enterobacter species should be a priority.