Miracle-dz/UniFAR-FTUs huggingface dataset:
Innovation as the strategic driver of sustainability: big data knowledge for profit and survival

Innovation has long been a central strategic focus of firms, and sustainability has recently become such a focus. We posit that innovation-across the value chain, in strategy, and in business models-is the central element of any truly sustainable business. Linking the theoretical models of Market Orientation (MO) and the Resource Based View of the Firm (RBV), purposive search directed through a Knowledge Based View (KBV) offers a schematic outline for how and where applications of big data analytics can facilitate innovation for long-term sustainability of the firm-for survival, profit, and dynamic fit with the changing environment.
Length of family vacations, children's age and parenting style

Length of vacation is an important aspect of tourism (Alegre & Pou, 2006). However, despite growing recognition of the role of parenting style with respect to consumption practices (Bakir, Rose, & Shoham, 2006), including for tourism (Liang, 2013; Ram, Uriely, & Malach-Pines, 2014), relatively little attention has been given to the influence that parenting style and children’s age may have on the length of family vacations (Schänzel, Yeoman, & Backer, 2012). This exploratory study examines these relations. The highly influential theory of “Parenting Style” was developed by Baumrind (1967, 1991). Baumrind based her approach on the motives of parental control and defined three parenting styles: authoritarian, authoritative, and permissive. Authoritarian parents rely on rules and discipline. Authoritative parents communicate efficiently with their children and guide them successfully. Permissive parents do not make demands and accept their children’s requests. Studies based on Baumrind’s model consistently yield findings that suggest that authoritative parenting style is associated with positive educational, social, emotional, and cognitive developmental outcomes in children, whereas authoritarian and permissive parenting styles are usually linked to poorer outcomes (Chao, 2001). The relationships between fathers’ and mothers’ parenting styles are modest to weak (Gamble, Ramakumar, & Diaz, 2007; Winsler, Madigan, & Aquilino, 2005) and suggest that the parental system is prone to disagreements. Musick and Meier (2010) observe that disagreement between parents is associated with a wide range of negative outcomes for family relations. Thus, this study extends this perspective and examines whether disagreements between parents with different parenting styles shorten the time that families spend together on vacation. Yet, disagreements are not the only factor in determining the length of family vacations, and the age of children may also play a crucial role (Schänzel et al., 2012). Two hypotheses were used:
Assembly and analysis of eukaryotic Argonaute–RNA complexes in microRNA-target recognition

Experimental studies have uncovered a variety of microRNA (miRNA)–target duplex structures that include perfect, imperfect and seedless duplexes. However, non-canonical binding modes from imperfect/seedless duplexes are not well predicted by computational approaches, which rely primarily on sequence and secondary structural features, nor have their tertiary structures been characterized because solved structures to date are limited to near perfect, straight duplexes in Argonautes (Agos). Here, we use structural modeling to examine the role of Ago dynamics in assembling viable eukaryotic miRNA-induced silencing complexes (miRISCs). We show that combinations of low-frequency, global modes of motion of Ago domains are required to accommodate RNA duplexes in model human and C. elegans Ago structures. Models of viable miRISCs imply that Ago adopts variable conformations at distinct target sites that generate distorted, imperfect miRNA-target duplexes. Ago's ability to accommodate a duplex is dependent on the region where structural distortions occur: distortions in solvent-exposed seed and 3′-end regions are less likely to produce steric clashes than those in the central duplex region. Energetic analyses of assembled miRISCs indicate that target recognition is also driven by favorable Ago-duplex interactions. Such structural insights into Ago loading and target recognition mechanisms may provide a more accurate assessment of miRNA function.
Intrinsic and Extrinsic Motivation

Psychologists have posited two types of motivation theories. Dualistic theories divide motivation into two types: intrinsic and extrinsic. Multifaceted theories, in contrast, recognize a number of genetically distinct motives. Intrinsic-extrinsic dualism fails on at least three counts: construct validity, measurement reliability, and experimental control. Many researchers have thus moved beyond the study of intrinsic-extrinsic motivation and validated multifaceted theories. When teaching students about the multifaceted nature of motivation, teachers can take several steps to improve their students’ understanding of this understudied area of psychology
A generic RTOS model for real-time systems simulation with systemC

The main difficulties in designing real-time systems are related to time constraints: if an action is performed too late, it is considered as a fault (with different levels of criticism). Designers need to use a solution that fully supports timing constraints and enables them to simulate early on the design process a real-time system. One of the main difficulties in designing HW/SW systems resides in studying the effect of serializing tasks on processors running a real-time operating system (RTOS). In this paper, we present a generic model of RTOS based on systemC. It allows assessing real-time performances and the influence of scheduling according to RTOS properties such as scheduling policy, context-switch time and scheduling latency.
Teacher Attitudes Toward Subject-Specific Acceleration

Despite the research supporting acceleration, some teachers are still hesitant to recommend acceleration for advanced students. The Teacher Attitudes Toward Subject-Specific Acceleration (TATSSA) instrument was designed to uncover the factors that influence teacher decisions to recommend students for subject-specific acceleration. First, we describe the creation of the TATSSA and initial instrument validation process. Then we examine the validity of the established measurement model and explore the construct validity of the TATSSA. Scores on the TATSSA predicted teacher intent to recommend acceleration, were related to teacher past recommendation behavior, and discriminated between groups known to be more or less likely to accelerate. The most important findings were that teacher self-efficacy toward recommending acceleration was universally important in predicting teacher acceleration attitudes and behavior, administrative support of acceleration was critical, and teachers appeared to give more weight to potential negative outcomes of acceleration than positive ones.
Leader emergence: the role of emotional intelligence and motivation to lead

Purpose – As the employment marketplace changes, the meaning of leadership evolves. The question of whether emotional intelligence (EI) is required for leaders has attracted broad interest. This paper seeks to examine the role of EI and motivation to lead (MTL) in predicting leadership.Design/methodology/approach – In study 1, students (n=309) first completed surveys and then, one week later (n=264), they engaged in leaderless group discussions where their levels of leader emergence were rated. In study 2, the participants were 115 students who undertook 14‐week class projects. They completed surveys including evaluations of members' leader emergence after they finished the projects.Findings – The results suggest that participants who were high in affective‐identity MTL became leaders in leaderless discussions, while high social‐normative MTL individuals assumed leadership roles in long‐term project teams. Both studies found that use of emotions, which is a component of EI, was positively related to affec.
The Student as Consumer of the Teaching Process1

College students in social-behavioral science courses described their personality traits, their teachers’ traits, dimensions of classroom behavior, and their attraction to their instructors (graduate teaching assistants) “as persons” and “as teachers. ” Correlational analyses showed that teacher skill was not related to students’ self-perceived personality traits or their attraction to teachers “as persons,” but was correlated positively with certain teacher personality traits and attraction to instructors “as teachers. ” Regression analyses further identified those teacher traits (ascendancy, personal relations, vigor) and classroom behaviors (teacher control, absence of negative affect) most important for effective teaching. It was concluded that college students are objective consumers of the teaching process and their judgments should be solicited to identify variables important for teacher effectiveness.
Counterfactuals and Causal Explanation

This article defends the use of interventionist counterfactuals to elucidate causal and explanatory claims against criticisms advanced by James Bogen and Peter Machamer. Against Bogen, I argue that counterfactual claims concerning what would happen under interventions are meaningful and have determinate truth values, even in a deterministic world. I also argue, against both Machamer and Bogen, that we need to appeal to counterfactuals to capture the notions like causal relevance and causal mechanism. Contrary to what both authors suppose, counterfactuals are not “unscientific”—a substantial tradition within statistics and the causal modelling literature makes heavy use of them.
Classification by Pattern-based Hierarchical Clustering

In this paper, we propose CPHC, a semi-supervised classification algorithm that uses a pattern-based cluster hierarchy as a direct means for classification. All training and test instances are first clustered together using an instance-driven pattern-based hierarchical clustering algorithm that allows each instance to "vote" for its representative size-2 patterns in a way that balances local pattern significance and global pattern interestingness. These patterns form initial clusters and the rest of the cluster hierarchy is obtained by following a unique iterative cluster refinement process that exploits local information. The resulting cluster hierarchy is then used directly to classify test instances, eliminating the need to train a classifier on an enhanced training set. For each test instance, we first use the hierarchical structure to identify nodes that contain the test instance, and then use the labels of co-existing training instances, weighing them proportionately to their pattern lengths, to obtain the most likely class label(s) for the test instance. In addition, CPHC increases the chances of classifying isolated test instances by inducing a type of feature transitivity. Results of experiments performed on 19 standard text and machine learning datasets show that CPHC outperforms a number of existing classification algorithms even with sparse (as low as 1%) training data.
Fusion of Decisions Modeled as Weak Signals in Wireless Sensor Networks

Distributed detection has newly received research interest due to the success of the emerging wireless sensor network (WSN) technology. To deal with the problem of distributed detection for the WSN having the energy constraint, the fusion of decisions modeled as weak signals is studied. By using the weak signal model and additive non-Gaussian noise channels in the canonical parallel fusion scheme, we propose an asymptotic fusion rule applicable for wide classes of noise probability density functions (pdfs). In the particular case of a known pdf, an optimal detection rule is given. Both asymptotic analysis and Monte Carlo simulation are used to examine the performance of the proposed detection fusion rule.
SDSE: a software package to simulate the evolution of a pair of DNA sequences

An algorithm to simulate DNA sequence evolution under a general stochastic model, including as particular cases all the previously used schemes of nucleotide substitution, is described. The stimulation is carried out on finite, variable length, DNA sequences through a strict stochastic process, according to the particular substitution rates imposed by each scheme. Five FORTRAN programs, running on an IBM PC and compatibles, carry out all the tasks needed for the simulation. They are menu driven and interfaced to the system through a principal menu. All sequence data files used and generated by the SDSE package conform to the standard GenBank database format, thus allowing the use of any sequence retrieved from this databank, as well as the application of other packages to analyse, manipulate or retrieve stimulated sequences.
Functional Interconnection of MYC2 and SPA1 in the Photomorphogenic Seedling Development of Arabidopsis1

MYC2 is a basic helix-loop-helix transcription factor that cross talks with light, abscisic acid (ABA), and jasmonic acid (JA) signaling pathways. Here, we have shown that Arabidopsis (Arabidopsis thaliana) MYC2 directly binds to the G-box present in the SUPPRESSOR OF PHYTOCHROME A1 (SPA1) promoter and that it controls the expression of SPA1 in a COP1-dependent manner. Analyses of atmyc2 spa1 double mutants suggest that whereas MYC2 and SPA1 act redundantly to suppress photomorphogenic growth in the dark, they function synergistically for the suppression of photomorphogenic growth in the light. Our studies have also revealed that MYC2-mediated ABA and JA responses are further modulated by SPA1. Taken together, this study demonstrates the molecular and physiological interrelations of MYC2 and SPA1 in light, ABA, and JA signaling pathways.
How beneficial is cognitive behaviour therapy in the treatment of atopic dermatitis? A single-case study

Abstract A single-case design was used to examine the benefits of cognitive behaviour therapy (CBT) in the treatment of two patients with atopic dermatitis (AD). Improvements were indicated for both cases in global outcome measures, with reductions in anxiety, depression and stigmatization beliefs and improvements in quality of life. Self-rated AD severity remained relatively stable across treatment time. For both cases, treatment gains were particularly evident in terms of reducing avoidance behaviours. The findings were discussed in relation to the need for CBT as an adjunct treatment for patients with AD and its potential role in improving psychological functioning.
Efficient implementation of odd-order lagrange-type variable fractional-delay digital filters

Lagrange-type variable fractional-delay (VFD) digital filters can be directly implemented as the well-known Farrow structure, but the subfilter coefficients are not symmetric or anti-symmetric. This paper presents a method for transforming an odd-order Lagrange-type VFD filter into a new one whose more than half subfilters have symmetric or anti-symmetric coefficients, which leads to an efficient implementation that reduces the computational complexity required in the VFD filtering process and saves hardware cost for storing independent subfilter coefficients. Several interesting symmetric properties of the resulting subfilter coefficients are rigorously proved and also illustrated through examples.
Bax and Bak Independently Promote Cytochrome cRelease from Mitochondria*

Pro-apoptotic Bax and Bak have been implicated in the regulation of p53-dependent apoptosis. We assessed the ability of primary baby mouse kidney (BMK) epithelial cells frombax −/−, bak −/−, andbax −/− bak −/− mice to be transformed by E1A alone or in conjunction with dominant-negative p53 (p53DD). Although E1A alone transformed BMK cells from p53-deficient mice, E1A alone did not transform BMK cells frombax −/−, bak −/−, orbax −/− bak −/− mice. Thus, the loss of both Bax and Bak was not sufficient to relieve p53-dependent suppression of transformation in epithelial cells. To test the requirement for Bax and Bak in other death signaling pathways, stable E1A plus p53DD-transformed BMK cell lines were derived from the bax −/−,bak −/−, and bax −/− bak −/− mice and characterized for their response to tumor necrosis factor-α (TNF-α)-mediated apoptosis. The loss of both Bax and Bak severely impaired TNF-α-mediated apoptosis, but the presence of either Bax or Bak alone was sufficient for cell death. Cytochrome c was released from mitochondria, and caspase-9 was activated in Bax- or Bak-deficient cells in response to TNF-α but not in cells deficient in both. Thus, either Bax or Bak is required for death signaling through mitochondria in response to TNF-α, but both are dispensable for p53-dependent transformation inhibition.
Music Information Retrieval Using Social Tags and Audio

In this paper we describe a novel approach to applying text-based information retrieval techniques to music collections. We represent tracks with a joint vocabulary consisting of both conventional words, drawn from social tags, and audio muswords, representing characteristics of automatically-identified regions of interest within the signal. We build vector space and latent aspect models indexing words and muswords for a collection of tracks, and show experimentally that retrieval with these models is extremely well-behaved. We find in particular that retrieval performance remains good for tracks by artists unseen by our models in training, and even if tags for their tracks are extremely sparse.
Music education in Puerto Rican elementary schools: A study from the perspective of music teachers

This article presents, for the first time, descriptive research on the status of music education in Puerto Rican public elementary schools. General music education at elementary schools on the island has been part of the school offering for more than 50 years. As yet, music education at this level has not been recognized as an essential discipline in the Department of Education’s official curriculum. The official governmental positions are contradictory to the reality of the teaching of music. As a result, this study is directed at obtaining a true understanding of the factors by performing research using 228 music educators from different areas of the Puerto Rican territory as the main suppliers of information. A questionnaire, validated by 15 experts, was administered to the 228 highly qualified in-service music teachers, and a 100% response rate was obtained. Overall, the results revealed that music teachers from Puerto Rico are performing under less than ideal teaching conditions.
Regular Perturbation of V-Geometrically Ergodic Markov Chains

In this paper, new conditions for the stability of V-geometrically ergodic Markov chains are introduced. The results are based on an extension of the standard perturbation theory formulated by Keller and Liverani. The continuity and higher regularity properties are investigated. As an illustration, an asymptotic expansion of the invariant probability measure for an autoregressive model with independent and identically distributed noises (with a nonstandard probability density function) is obtained.
The Role of User Psychological Contracts in the Sustainability of Social Networks

Many emergent ventures, such as social networks, leverage crowd-sourced information assets as essential pillars supporting their business models. The appropriation of rights to information assets through legal contracts often fails to prevent conflicts between the users and the companies that claim information rights. In this paper, we focus on social networks and examine why those conflicts arise and what their consequences are by drawing on psychological contract theory. We propose that intellectual property and privacy expectancies comprise core domains of psychological contracts between social networks and their users. In turn, perceived breaches of those expectancies trigger a psychological contract violation. We use the exit, voice, loyalty, and neglect typology to define the user behavioral outcomes. We evaluated our framework by surveying 598 Facebook users. The data support our framework and indicate that perceived breaches of privacy and intellectual property rights generate the affective experience of a psychological contract violation, which is strongly associated with exit intentions.
Relationships between the social and the natural sciences

An integrated science and technology policy is both complex and urgent. We have gradually come to understand that the relationship between science and technology is not neat and linear: it is not a case of first some basic science; thereafter some design and development; and then products, profits and the end to unemployment! A comprehensive science and technology policy is not a matter which is internal to science and technology, it also lies within the domain of several of the social sciences. This article reflects, in some generality, upon the relationship between the social and natural sciences, and examines some of the differences and similarities in methods and models as used by the social and natural sciences.
A compressive sensing approach to the fusion of PCL sensors

Sensor data fusion techniques have been applied in the recent years to the combination of the information provided by different sensor systems. Passive coherent location (PCL) networks use the illumination by common radio or television transmitters to detect air-targets and estimate their positions and parameters due to the reflected waves. To fuse the information of the bistatic Tx-Rx pairs advanced techniques have been developed based on the detections and parameter estimates obtained at each bistatic pair. In our paper we will consider joined signal processing of the radar raw data based on compressive sensing (CS) techniques using the block-sparsity approach.
EMD for the Localization of Underwater Target with Time Varying Signal Via Radiated Signal

The radiated signal of underwater target is time varying for its motion. While the traditional localization methods are based on the precondition of stationary signal. According to the Empirical Mode Decomposition method , the localization and tracking of time varying signal target can be improved. Some desired results are obtained in the sea trial ,with the combined and optimized of EMD with general passive target localization method.
Six orienting ideas for collaborative counsellors

An enhanced form of collaboration in counselling is made possible by recent developments in social constructionist theory and a new group of ‘postmodern therapies’. Highlighting six orienting ideas that draw from this theory and the postmodern therapies (solution-focused, narrative and collaborative language systems therapy), the author suggests that these ideas can focus counsellors’ listening and creativity broadly. Examples illustrate each of the orienting ideas, with no assumption that the ideas can be narrowed down to specific techniques.
A Note on Shneidman's Psychological Pain Assessment Scale

Shneidman's Psychological Pain Assessment Scale (PPAS) was explored for its validity and reliability. The test-retest reliability of the measures was quite modest for a 28-day interval. In a sample of undergraduate students, measures of psychache were significantly associated with prior suicidality; yet, the PPAS had only a modest degree of validity. More detailed study is warranted, before final conclusions can be made.