Miracle-dz/UniFAR-FTUs huggingface dataset:
New Product Introduction Prize (NPIP) and the Market Value of the Firm: An Empirical Investigation into the Computer, Electronic and Communication Industry (CECI)

This research studies the effect of new product introduction prize (NPIP) announcements on firm value, applying event study methodology to 509 NPIP announcements between the period of 2001-2015. Specifically, the study focuses on NPIP announcements made in the computer, electronic and communication industry (CECI). It analyzes the short-term effect of market value caused by NPIP announcements within two-day event window (Days -1 and 0) by using market model. We established that NPIP announcements are perceived by investors as positive news, resulting in significant positive cumulative abnormal returns (CARs). Having controlled for firm-specific effects, (reputation and R&D intensity), we observed that stock market responds more positively to NPIPs attained by small-sized firms than large-sized firms. In addition, stock market reaction to firms that won NPIP from third-party prize schemes is more positive than winning from prize schemes within the firms’ supply chain. Due to the indispensable financial rewards accumulated by firms winning NPIPs, the conclusions of this research are very valuable to managers in the allocation of more resources towards augmenting their firms’ new product development capabilities.
Spoken-Word Recognition: The Access to Embedded Words

Two cross-modal priming experiments investigated whether the representation of either an initial- or a final-embedded word may be activated when the longer carrier word is auditorily presented. Visual targets were semantically related either to the embedded word or to the carrier word or they were unrelated to the primes. A priming effect was found for semantic associates of the carrier word in both experiments as well as for associates of the final-embedded word (Experiment 2). These results suggest that mapping speech onto lexical representations may imply lexical access attempts at several points during auditory processing of the speech signal.
Reproductive Allochrony in Seasonally Sympatric Populations Maintained by Differential Response to Photoperiod: Implications for Population Divergence and Response to Climate Change

Reproductive allochrony presents a potential barrier to gene flow and is common in seasonally sympatric migratory and sedentary birds. Mechanisms mediating reproductive allochrony can influence population divergence and the capacity of populations to respond to environmental change. We asked whether reproductive allochrony in seasonally sympatric birds results from a difference in response to supplementary or photoperiodic cues and whether the response varies in relation to the distance separating breeding and wintering locations as measured by stable isotopes. We held seasonally sympatric migratory and sedentary male dark-eyed juncos (Junco hyemalis) in a common garden in early spring under simulated natural changes in photoperiod and made measurements of reproductive and migratory physiology. On the same dates and photoperiods, sedentary juncos had higher testosterone (initial and gonadotropin-releasing hormone induced), more developed cloacal protuberances, and larger testes than migrants. In contrast, migratory juncos had larger fat reserves (fuel for migration). We found a negative relationship between testis mass and feather hydrogen isotope ratios, indicating that testis growth was more delayed in migrants making longer migrations. We conclude that reproductive allochrony in seasonally sympatric migratory and sedentary birds can result from a differential response to photoperiodic cues in a common garden, and as a result, gene flow between migrants and residents may be reduced by photoperiodic control of reproductive development. Further, earlier breeding in response to future climate change may currently be constrained by differential response to photoperiodic cues.
Catalyst to Connection: When Technical Difficulties Lead to Social Support for Older Adults

Information and communication technology (ICT) use can mitigate the negative impact of various age-related threats, such as isolation and loneliness, by facilitating connection with social ties and access to social support. Although research regarding various uses and benefits of ICTs among older adults has increased, there is limited research regarding the impact of technical difficulties on older adults’ well-being. Our study explores technical difficulties encountered, how older adults cope with ICT failure, and the various forms of social support that may result as a consequence of accessing technical support. We use data from nine semistructured focus groups conducted with older adults in the Midwest region of the United States. Results show that older adults may adapt new strategies for coping with the technical difficulties that arise from regular ICT use. Furthermore, as older adults incorporate ICTs into their daily lives and seek assistance from social ties and experts, they may also be indirectly combating the threat of isolation and loneliness.
Matrix multiplication algorithms from group orbits

We show how to construct highly symmetric algorithms for matrix multiplication. In particular, we consider algorithms which decompose the matrix multiplication tensor into a sum of rank-1 tensors, where the decomposition itself consists of orbits under some finite group action. We show how to use the representation theory of the corresponding group to derive simple constraints on the decomposition, which we solve by hand for n=2,3,4,5, recovering Strassen's algorithm (in a particularly symmetric form) and new algorithms for larger n. While these new algorithms do not improve the known upper bounds on tensor rank or the matrix multiplication exponent, they are beautiful in their own right, and we point out modifications of this idea that could plausibly lead to further improvements. Our constructions also suggest further patterns that could be mined for new algorithms, including a tantalizing connection with lattices. In particular, using lattices we give the most transparent proof to date of Strassen's algorithm; the same proof works for all n, to yield a decomposition with $n^3 - n + 1$ terms.
Impact of Extraction Parameters on the Recovery of Lipolytic Activity from Fermented Babassu Cake

Enzyme extraction from solid matrix is as important step in solid-state fermentation to obtain soluble enzymes for further immobilization and application in biocatalysis. A method for the recovery of a pool of lipases from Penicillium simplicissimum produced by solid-state fermentation was developed. For lipase recovery different extraction solution was used and phosphate buffer containing Tween 80 and NaCl showed the best results, yielding lipase activity of 85.7 U/g and 65.7 U/g, respectively. The parameters with great impacts on enzyme extraction detected by the Plackett-Burman analysis were studied by Central Composite Rotatable experimental designs where a quadratic model was built showing maximum predicted lipase activity (160 U/g) at 25°C, Tween 80 0.5% (w/v), pH 8.0 and extraction solution 7 mL/g, maintaining constant buffer molarity of 0.1 M and 200 rpm. After the optimization process a 2.5 fold increase in lipase activity in the crude extract was obtained, comparing the intial value (64 U/g) with the experimental design (160 U/g), thus improving the overall productivity of the process.
Scatterer Density in Nonlinear Diffusion for Speckle Reduction in Ultrasound Imaging: The Isotropic Case

This paper proposes a method for speckle reduction in medical ultrasound imaging while preserving the edges with the added advantages of adaptive noise filtering and speed. A nonlinear image diffusion method that incorporates local image parameter, namely, scatterer density in addition to gradient, to weight the nonlinear diffusion process, is proposed. The method was tested for the isotropic case with a contrast detail phantom and varieties of clinical ultrasound images, and then compared to linear and some other diffusion enhancement methods. Different diffusion parameters were tested and tuned to best reduce speckle noise and preserve edges. The method showed superior performance measured both quantitatively and qualitatively when incorporating scatterer density into the diffusivity function. The proposed filter can be used as a preprocessing step for ultrasound image enhancement before applying automatic segmentation, automatic volumetric calculations, or 3D ultrasound volume rendering.
Musical performance and emotions in children: The case of musical competitions

Emotion is a condition that facilitates or inhibits music performance. Our research aimed to explore emotions of young musicians performing in music competitions. We tried to highlight the possible differences in terms of emotions between young singers who obtained prizes in musical competitions and those who did not. Another aim of the study was to explore the relationship between pre-competition emotions and music performance, focusing on the mediating role of singing experience. The sample consisted of 146 participants in international music competitions for young musicians. A nonverbal pictorial assessment technique measuring the valence, arousal and dominance dimensions of emotions was administered just before and immediately after each participant’s performance in the competition. Our study revealed that negative emotions were associated with lower performance quality while positive emotions, low arousal and increased dominance were associated with higher performance quality. Experienced young singers reported more positive emotions, low arousal and high dominance. Our results also revealed that experience in music competitions could mediate the associations between emotions and music performance in competition. The implications of the results support the inclusion of psychological/emotional training in music education of young singers.
Health effects of written emotional disclosure in adolescents with asthma: a randomized, controlled trial.

OBJECTIVE To test the effects of written emotional disclosure on the health of adolescents with asthma and to examine how language in disclosures predicts outcomes. METHODS We randomized 50 adolescents with asthma to write for 3 days at home about stressful events (disclosure) or control topics. At baseline and 2 months after writing, we assessed symptoms, affect, disability, internalizing behavior problems, and lung function; parents independently rated internalizing behavior and disability. RESULTS Compared with control writing, disclosure writing led to improved positive affect and internalizing problems. Disclosure also decreased asthma symptoms and functional disability among adolescents with baseline elevations of these difficulties. Lung function was not changed. Disclosures with more negative emotion, insight, and causal words--and increased causal or insight words over days--predicted improved health. CONCLUSIONS Written emotional disclosure improves emotional and behavioral functioning among adolescents with asthma, particularly those whose writings suggest emotional processing and cognitive restructuring.
A phosphodegron controls nutrient-induced proteasomal activation of the signaling protease Ssy5

The Ssy1-Ptr3-Ssy5 (SPS) sensor of extracellular amino acids coordinates the sequential activity of general signaling factors and the 26S proteasome in a novel proteolytic activation cascade to activate the intracellular signaling protease Ssy5, which endoproteolytically activates two latent transcription factors.
A reflectance model for diffuse fluorescent surfaces

Fluorescence is an interesting and visually prominent effect, which has not been fully covered by Computer Graphics research so far.While the physical phenomenon of fluorescence has been addressed in isolation, the actual reflection behaviour of real fluorescent surfaces has never been documented, and no analytical BRDF models for such surfaces have been published yet.This paper aims to illustrate the reflection properties typical for diffuse fluorescent surfaces, and provides a BRDF model based on a layered microfacet approach that mimics them.
Emotion regulation from infancy to toddlerhood: Individual and group trajectories of full-term and very-low-birthweight preterm infants.

Adaptive emotion regulation begins with infants operating jointly with their parents to regulate their emotions, which fosters the development of independent regulation. Little is known about when or how this transition occurs, or the impact of factors such as parental availability or premature birth status. The current study examined the use of self-soothing, attentional distraction, and dyadic regulation in full-term and healthy very-low-birthweight (VLBW) preterm infant-mother dyads at 5 ½, 12, and 18 months of age. At 5 ½ months, dyads participated in the Still-Face procedure. At 12 and 18 months, dyads participated in two free-play interactions, a puzzle task, and an interference task. Emotion regulation behaviors were coded using two systematic, observational systems. Results indicated that infants used less self-soothing and attentional distraction and more dyadic regulation as they aged. Increased use of self-soothing at earlier ages predicted increased use of dyadic regulation at subsequent ages. Toddlers used more independent, attention-seeking, and escape behavior during periods of maternal unavailability. There were no significant differences between full-term and VLBW/preterm toddlers' emotion regulation behaviors. Results from the current study contribute to the understanding of normative development of emotion regulation and the risk associated with prematurity.
The properties of field elliptical galaxies at intermediate redshift — I. Empirical scaling laws

ABSTRA C T We present measurements of the Fundamental Plane (FP) parameters (the effective radius, the mean effective surface brightness, and the central velocity dispersion) of six field elliptical galaxies at intermediate redshift. The imaging is taken from the Medium Deep Survey of the Hubble Space Telescope, while the kinematical data are obtained from longslit spectroscopy using the 3.6-m ESO telescope. The Fundamental Plane appears well defined in the field even at redshift < 0:3. The data show a shift in the FP zero-point with respect to the local relation, possibly indicating modest evolution, consistent with the result found for intermediate-redshift cluster samples. The FP slopes derived for our field data, plus other cluster ellipticals at intermediate redshift taken from the literature, differ from the local ones, but are still consistent with the interpretation of the FP as a result of homology, of the virial theorem, and of the existence of a relation between luminosity and mass, L/ M h . We also derive the surface brightness versus effective radius relation for nine galaxies with redshifts up to z < 0:6, and data from the literature; the evolution that can be inferred is consistent with what is found using the FP.
Vulnerability Analysis and Countermeasures for WiFi-based Location Services and Applications

Wireless LANs, or WiFi, are very common in any household or business today. Their wireless nature allows mobility and convenience for the user and that opens up a lot of new possibilities in mobile devices such as smartphones and tablets. One application that makes use of wireless LANs is positioning, which can be used in areas where Global Positioning Systems may have trouble functioning or not at all. However, a drawback of using wireless communication is that it is susceptible to eavesdropping and jamming. Once the wireless signal is jammed, an attacker can set up fake access points on different channels or frequencies to impersonate a legitimate access point. In this paper, this attack is performed specifically to trick WiFibased location services that are becoming very popular nowadays, especially for mobile devices. Our paper shows that the attack works on Skyhook, Google, Apple and Microsoft location services, four of the major location service providers, and works on dualband hardware. We also present some potential countermeasures to such an attack.
Supervisor's behavioral complexity: Ineffective in the call center

An ample repertoire of leadership behaviors available to the manager is expected to guarantee his/her effectiveness transcending situations, but research in the call-center context has identified a specific form of effective supervision: people-oriented leadership. The purpose of this paper is to compare the effectiveness of leader behavioral complexity vis-à-vis people-oriented supervision. 268 employees out of 728 of a Peruvian call center filled in an on-line survey that included, among other questionnaires, the Competing Values Framework Managerial Behavior Instrument in reference to their front-line supervisor. The study analyzed the relationships between supervisory leadership and subordinate turnover intention and absenteeism. Behavioral complexity, like people-oriented leadership, predicted subordinate turnover intention but did not predict subordinate absenteeism, which people-oriented leadership did when other leadership orientations (to change, results, processes) were held constant. Our explanations consider that absenteeism is a concrete behavior and turnover intention an abstract attitude. The findings are consistent with the call-center literature, suggest important boundaries to the concept of manager behavioral complexity, and highlight the need for contingency theories of leadership effectiveness.
Laparoscopic versus Open Liver Resection: Differences in Intraoperative and Early Postoperative Outcome among Cirrhotic Patients with Hepatocellular Carcinoma—A Retrospective Observational Study

Introduction. Laparoscopic liver resection is considered risky in cirrhotic patients, even if minor surgical trauma of laparoscopy could be useful to prevent deterioration of a compromised liver function. This study aimed to identify the differences in terms of perioperative complications and early outcome in cirrhotic patients undergoing minor hepatic resection for hepatocellular carcinoma with open or laparoscopic technique. Methods. In this retrospective study, 156 cirrhotic patients undergoing liver resection for hepatocellular carcinoma were divided into two groups according to type of surgical approach: laparoscopy (LS group: 23 patients) or laparotomy (LT group: 133 patients). Perioperative data, mortality, and length of hospital stay were recorded. Results. Groups were matched for type of resection, median number of nodules, and median diameter of largest lesions. Groups were also homogeneous for preoperative liver and renal function tests. Intraoperative haemoglobin decrease and transfusions of red blood cells and fresh frozen plasma were significantly lower in LS group. MELD score lasted stable after laparoscopic resection, while it increased in laparotomic group. Postoperative liver and renal failure and mortality were all lower in LS group. Conclusions. Lower morbidity and mortality, maintenance of liver function, and shorter hospital stay suggest the safety and benefit of laparoscopic approach.
An examination of factors affecting bidders’ choice in electronic auctions

The increment of number of services provided in World Wide Web lately drives more and more consumers to e-commerce. During the last years and due to the vast increase of e-stores (B2C), electronic marketplaces and electronic auction sites became more popular. Many researchers examined how buyers interact with the auction facts and sellers during the procedure. Questions such as ldquohow do millions of users decide about their e-biddingrdquo and ldquowhat are the factors affecting them and what is their order of importancerdquo are amongst the most significant ones in current research. In this paper these factors are initially located using auction literature and eBay interface as well as expanded with the addition of a new factor (communication with seller). Their weights derive from the statistical analysis of the answers given in a questionnaire that was filled electronically by eBay users during the period of February - March 2007.
Boosting Ethernet Performance by Segment-Based Routing

Ethernet is turning out to be a cost-effective solution for building cluster networks offering compatibility, simplicity, high bandwidth, scalability and a good performance-to-cost ratio. Nevertheless, Ethernet still makes inefficient use of network resources (links) and suffers from long failure recovery time due to the lack of a suitable routing algorithm. In this paper we embed an efficient routing algorithm into 802.3 Ethernet technology, making it possible to use off-the-shelf equipment to build high-performance and cost-effective Ethernet clusters, with an efficient use of link bandwidth and with fault tolerant capabilities. The algorithm, referred to as segment-based routing (SR), is a deterministic routing algorithm that achieves high performance without the need for virtual channels (not available in Ethernet). Moreover, SR is topology agnostic, meaning it can be applied to any topology, and tolerates any combination of faults derived from the original topology when combined with static reconfiguration. Through simulations we verify an overall improvement in throughput by a factor of 1.2 to 10.0 when compared to the conventional Ethernet routing algorithm, the spanning tree protocol (STP), and other topology agnostic routing algorithms such as Up*/Down* and tree-based turn-prohibition, the last one being recently proposed for Ethernet
A Network Approach to Psychopathology: New Insights into Clinical Longitudinal Data

In the network approach to psychopathology, disorders are conceptualized as networks of mutually interacting symptoms (e.g., depressed mood) and transdiagnostic factors (e.g., rumination). This suggests that it is necessary to study how symptoms dynamically interact over time in a network architecture. In the present paper, we show how such an architecture can be constructed on the basis of time-series data obtained through Experience Sampling Methodology (ESM). The proposed methodology determines the parameters for the interaction between nodes in the network by estimating a multilevel vector autoregression (VAR) model on the data. The methodology allows combining between-subject and within-subject information in a multilevel framework. The resulting network architecture can subsequently be analyzed through network analysis techniques. In the present study, we apply the method to a set of items that assess mood-related factors. We show that the analysis generates a plausible and replicable network architecture, the structure of which is related to variables such as neuroticism; that is, for subjects who score high on neuroticism, worrying plays a more central role in the network. Implications and extensions of the methodology are discussed.