Miracle-dz/UniFAR-FTUs huggingface dataset:
MARKET-BASED ORGANIZATIONAL LEARNING : BUSINESS PERFORMANCE GAINS IN FINANCIAL SERVICES ORGANIZATIONS

Over the last three decades a significant volume of academic interest has been evident in the market orientation construct. The proposition established from much of this research is that where a significant degree of market orientation is displayed by a firm, then an improved payoff in business performance terms, other things being equal, is likely to accrue. However, it is further affirmed that the implementation of market oriented processes and practices is but the first step toward developing the norms and mechanisms for sustainable levels of improved business performance. Evidently the principles of market orientation require complementary internally and externally derived activities that support the firm's ability to learn from its environment; to enable ‘higher-order’ learning to occur. In this regard, it is only recently that substantive discussion of organizational learning within a marketing context has taken place, as either an independent or combined imparter of enhanced business performance. This paper reviews the extant literature surrounding both market and learning orientations and conceptualizes their inter-relationship as market-based organizational learning. This derived construct and its power of discrimination between groups of high and low business performance firms are empirically tested using data generated from a survey of UK-based financial services providers. A number of significant findings are reported from these data and the results indicate that six key dimensions of market-based organizational learning discriminate between groups of high and low business performance firms. From these results, several fertile avenues for future research are revealed along with a number of valuable executive implications. Address for Correspondence: School of Management and Business, Aberystwyth University of Wales, Aberystwyth Aberystwyth SY23 3DD Wales, UK e-mail: robert.morgan@aber.ac. uk Key-words: organizational learning; market orientation; business performance; marketing capabilities; information processing; and, competitive advantage.
The dark tetrad and depressive symptoms: exploring the role of rumination

Psychopathy, narcissism, Machiavellianism, and sadism comprise the Dark Tetrad; a group of socially aversive, non-clinical personality traits characterised by callousness, dishonesty, and manipulation. Psychopathy has been further differentiated into primary and secondary psychopathy, while two variants of narcissism, grandiose and vulnerable, have also been identified. Few studies have investigated the mental health correlates of the dark traits, thus the current study examined the relationship between the Dark Tetrad and depression, and explored the role of rumination in this relationship. Two subtypes of rumination were considered: brooding and reflection. The sample comprised 316 individuals aged between 18 and 68 years, 53.8% of whom were members of the community while 46.2% were current university students. Participants completed an anonymous online survey, with a cross-sectional, correlational design. Results largely supported the hypotheses, indicating that the dark traits fall along a continuum of depressive symptoms. Vulnerable narcissism and secondary psychopathy were shown to significantly predict higher depression levels, while grandiose narcissism was significantly connected to lower depression scores. Rumination was found to moderate the relationship between the Dark Tetrad and depression, however this was only the case for the brooding subtype. This research indicated that dark personality traits likely influence the selection and use of coping strategies, such as rumination, and illustrated the impact this can have on depressive symptoms. Further exploration of these connections would offer a greater understanding of socially aversive behaviours and how individuals with these traits function in the world, with implications for existing models of personality and psychopathology.
Osteoarthritis of the hip: agreement between joint space width measurements on standing and supine conventional radiographs

OBJECTIVE To assess the effect of standing position on joint space width (JSW) measurements of the hips with and without osteoarthritis (OA) on pelvic radiographs. METHODS Adult patients aged 18 or more had pelvic anteroposterior conventional radiographs standing and supine performed by a single radiologist in the same radiology unit according to standardised guidelines. JSW measurements in mm were made by a single reader blind to patients’ identity and type of view, using a 0.1 mm graduated magnifying glass directly laid over the radiograph, at the narrowest point for OA hips or at the vertical joint space for non-OA hips. Agreement of JSW between both views was assessed using the Bland and Altman graphical analysis. RESULTS JSW was greater on standing than supine radiographs, for example, 7.1% for OA hips. Mean (SD) differences and limits of agreement (mm) between both views were 0.08 (0.27) and −0.46 to 0.62 for the 70 non-OA hips, 0.02 (0.31) and −0.60 to 0.64 for the 46 OA hips. Corresponding 95% confidence intervals of mean differences were 0.02, −0.14 mm and −0.07, −0.11 mm. CONCLUSIONS Measurements of JSW of the hip on pelvic standing and supine radiographs are concordant. Changes less than or equal to 0.64 mm between the two views are similar or inferior to radiological progression of OA.
An Analytical Dynamic Scaling of Supply Voltage and Body Bias Based on Parallelism-Aware Workload and Runtime Distribution

Dynamic voltage and frequency scaling (DVFS) for a parallel software program is crucial for lowering the ever-increasing power consumption of multiprocessor systems-on-chips (SoCs). In this paper, we propose an analytical DVFS method that judiciously exploits slack by considering the varying parallelism over each path in a task graph. The proposed method overcomes the conventional pessimistic assumption on the remaining workload, i.e., worst-case execution cycle. It yields minimum average energy consumption by utilizing the runtime distribution of a software program while satisfying the deadline constraints. The proposed method tackles leakage power consumption as well as dynamic power consumption by combined V dd/V bb scaling. Compared to conventional method , experimental results show that the proposed method provides up to 49.20% energy reduction for a set of synthetic task graphs and yields 23.93% and 27.15% energy reductions for two multimedia applications, namely, the H.264 encoder and decoder, respectively.
New Optimization Functions for Potential Heuristics

Potential heuristics, recently introduced by Pommerening et al., characterize admissible and consistent heuristics for classical planning as a set of declarative constraints. Every feasible solution for these constraints defines an admissible heuristic, and we can obtain heuristics that optimize certain criteria such as informativeness by specifying suitable objective functions. The original paper only considered one such objective function: maximizing the heuristic value of the initial state. In this paper, we explore objectives that attempt to maximize heuristic estimates for all states (reachable and unreachable), maximize heuristic estimates for a sample of reachable states, maximize the number of detected dead ends, or minimize search effort. We also search for multiple heuristics with complementary strengths that can be combined to obtain even better heuristics.
HAR volatility modelling with heterogeneous leverage and jumps

We propose a dynamic model for financial market volatility with an heterogeneous structure for three components: continuous volatiilty, leverage and jumps. We find that each of the three components plays a significant role in volatility forecasting and neglecting one of them is detrimental to the forecasting performance. Importantly, we find remarkable forecasting power for the negative past returns at all the considered frequencies, which unveils a novel heterogeneous structure in the leverage effect. We also show, using simulation studies, that the presence of jumps is important for two distinct reasons: Firstly, explicitly modeling jumps has trimming effect on the dynamics of the persistent volatility component; secondly, they have a positive and significant impact on future volatility. JEL classification: C13; C22; C51; C53
The Impact of Immediate and Delayed Corrective Feedback on Iranian EFL Learners’ Willingness to Communicate

The present study investigated the impact of immediate and delayed corrective feedback on Iranian EFL learners’ willingness to communicate. To attain the purpose of the study, 45 females intermediate students that were roughly selected according to their previous grades and their assigned level in language school were chosen to participate in this study. Then they were divided to three equal groups: Experimental group 1(immediate feedback), Experimental group 2 (delayed feedback) and control group. In the first session, WTC questionnaire (MacIntyre ,2001 modified by Pourya Baghaei and Ali Dourakhshan) was administered to all groups as pretests. In group 1 the students’ errors were corrected by the teacher immediately after committing but in the second group, the students’ errors were written by the teacher and her comments were given to them when they finished their tasks. For the control group, the routine procedure of New Headway intermediate was followed. After about 12 sessions WTC was repeated as posttests. The findings revealed that immediate and delayed corrective feedback have a significant effect on EFL students’ level of WTC. The results, also demonstrated that experimental group 1 (immediate feedback) outweighed the other two groups in relation to their WTC. The findings have implication for pedagogy as well as further research.
Immigrant background and gender differences in primary students' motivations toward studying

ABSTRACT In the study, based on a representative sample of 26,670 Italian fifth-grade students, the authors examine the academic motivational profiles of immigrant and native students, as well as of boys and girls. To reliably estimate mean differences, the measurement invariance of a short version of the Academic Self-Regulation Questionnaire was first established across the groups. Boys reported less autonomous motives for studying than girls while first-generation immigrant pupils showed higher levels of intrinsic motivation, identified regulation, and external regulation for studying than natives did. Also, second-generation immigrants had higher levels of academic motivation than natives did, although they were less motivated and reported less autonomous reasons for studying than first generations. While confirming the immigrant paradox in a country with a rapidly increasing level of immigrant students, findings show that second-generation immigrants not only report a lower quantity of motivation than first-generations, but also appear to have a different quality of motivation.
The cognitive profiles of Jordanian students at risk for math disability

ABSTRACT The Cattell–Horn–Carroll (CHC) factors of the Woodcock–Johnson (WJ) Arabic Tests of Cognitive Abilities were studied with a group of students at risk of Math Disability (MD) (n50) and average students (n50) between second and fourth grades. Specifically, several statistical analyses were conducted using the seven CHC factors identified by the WJ Arabic Tests and the level of math calculation skills. The two groups were matched on grade, gender, age, and father’s level of education. The findings indicated that average students had higher scores in all tests, but no statistical difference exists between at risk of MD and average groups in terms of Visual-Spatial Thinking or Auditory Processing scores. In addition, the best model for predicting math calculation skills was based on a combined measure of Processing Speed and Short-Term Working Memory factors. Implications of the findings are also discussed.
Protective Efficacy of a DNA Influenza Virus Vaccine Is Markedly Increased by the Coadministration of a Schiff Base-Forming Drug

ABSTRACT Effective vaccination against heterologous influenza virus infection remains elusive. Immunization with plasmid DNA (pDNA) expressing conserved genes from influenza virus is a promising approach to achieve cross-variant protection. However, despite having been described for more than a decade, pDNA vaccination still requires further optimization to be applied clinically as a standard vaccination approach. We have recently described a simple and efficient approach to enhance pDNA immunization, based on the use of tucaresol, a Schiff base-forming drug. In this report we have tested the ability of this drug to increase the protection conferred by pDNA vaccination against influenza virus infection. Our results demonstrate that a significant protection was achieved in two strains of mice by using the combination of pDNA and tucaresol. This protection was associated with an elevated humoral and cellular response and a switch in the type of the T helper cell (Th) immune response from type 2 to type 1. This vaccine combination represents a promising strategy for designing a clinical study for the protection from influenza and similar infections.
Impact of individual nodes in Boolean network dynamics

Boolean networks serve as discrete models of regulation and signaling in biological cells. Identifying the key controllers of such processes is important for their understanding and planning further analysis. We quantify the dynamical impact of a node as the probability of damage spreading after switching the node's state. The leading eigenvector of the adjacency matrix is a good predictor of dynamical impact in case of long-term spreading. Quality of prediction is further improved when eigenvector centrality is based on the weighted matrix of activities rather than the unweighted adjacency matrix. Simulations are performed with random Boolean networks and a model of signaling in fibroblasts. The findings are supported by analytic arguments from a linear approximation of damage spreading.
Delineating Ecological Boundaries of Hanuman Langur Species Complex in Peninsular India Using MaxEnt Modeling Approach

Hanuman langur is one of the widely distributed and extensively studied non-human diurnal primates in India. Until recently it was believed to be a single species - Semnopithecus entellus. Recent molecular and morphological studies suggest that the Hanuman langurs consists of at least three species S. entellus, S. hypoleucos and S. priam. Furthermore, morphological studies suggested that both S. hypoleucos and S. priam have at least three subspecies in each. We explored the use of ecological niche modeling (ENM) to confirm the validity of these seven taxa and an additional taxon S. johnii belonging to the same genus. MaxEnt modeling tool was used with 19 bioclimatic, 12 vegetation and 6 hydrological environmental layers. We reduced total environmental variables to 14 layers after testing for collinearity and an independent test for model prediction was done using ENMTools. A total of 196 non-overlapping data points from primary and secondary sources were used as inputs for ENM. Results showed eight distinct ecological boundaries, corroborating the eight taxa mentioned above thereby confirming validity of these eight taxa. The study, for the first time provided ecological variables that determined the ecological requirements and distribution of members of the Hanuman langur species complex in the Indian peninsula.
Study of Factors Affecting on Evaluation of Sex Offenders' Criminal Responsibility

ResultsZZOf the 180 mental appraisals, 123 people (68.3%) were found to be feeble-minded or insane, and 57 people (31.7%) were considered to be sane, i.e., competent to take responsibility. The two groups were different in IQ, occupational & marital status, victim numbers, psychiatric diagnosis, and sex offender characteristics, such as violence and intrusiveness. After evaluating the influence of variables that showed significant differences between the two groups on a responsibility assessment, sex offenders with fewer invasive sex offenses (OR=1.763, p<0.05), lower IQ (OR=1.031, p<0.01), lower numbers of victims (OR=1.349, p<0.05), and higher number of mental illnesses (OR=0.507, p<0.05) were more likely found to be feeble-minded or insane.
Making HRI accessible to everyone through online videos: A proposal for a μMOOC in human robot interaction

We observe that in comparison to other media; online videos are a powerful outreach instrument for Computing technologies in general and specifically for Human Robot Interaction (HRI). Our experience in creating demos, scenarios and educational videos (we present two anecdotal accounts of educational HRI videos) leads us to believe that such modalities can have large pedagogical value if they are designed and conveyed appropriately. We also found that the rapid hand drawing (exemplified through fast frames in video) is an interesting technique to propagate science facts around social media. We also discuss the prospects of utilising standard MOOC's as a medium to teach HRI and thereby present a proposal of a (nano-MOOC). Furthermore, we also discuss the main challenge of being able to promote retention through HRI pedagogical material as there may be a tendency of withdrawal to deeply technical content. In conclusion, we present guidelines to promote the uptake of HRI across not only educational institutes but also the general public.
The Role of Heads of Department in the Professional Development of Educators: A Distributed Leadership Perspective

ABSTRACT The qualitative study reported on was, undertaken from a distributed leadership perspective, and was an attempt to provide understanding of how heads of department (HoDs) develop educators within the organisational context of different schools and subject departments. The findings are related to the current policy framework for professional development in South African schools. Two fee-paying and two non-fee-paying schools were selected and interviews were conducted with HoDs from single subject (unitary) and multi-subject (federal or confederate) departments in each school. The data was transcribed, coded, analysed and related to the research question. The findings confirmed that HoDs are a key link between principals and the educators in their classrooms. This supports the view that HoDs have formal responsibilities and accountabilities and they wield a horizontal and a vertical influence. Recommendations are made to improve professional development practice by HoDs in particular and in the education system in general.
Trading Turnover and Expected Stock Returns: The Trading Frequency Hypothesis and Evidence from the Tokyo Stock Exchange

This paper tries to find a widely accessible measure of liquidity and studies its impact on asset pricing. Using trading turnover as a measure of liquidity and the 1976-1993 Tokyo Stock Exchange data, I find that, cross-sectionally, stocks with higher turnover tend to have a lower expected return. This evidence is consistent with predictions derived from an Amihud-Mendelson type of transaction cost model in which the turnover measures investors’ trading frequency. The trading frequency hypothesis also predicts that the cross-sectional expected return is a concave function of the turnover and the time-series expected return is an increasing function of the turnover. The Japanese data supports both predictions.
Evaluation of a Clinical Service Model for Dysphagia Assessment via Telerehabilitation

Emerging research supports the feasibility and viability of conducting clinical swallow examinations (CSE) for patients with dysphagia via telerehabilitation. However, minimal data has been reported to date regarding the implementation of such services within the clinical setting or the user perceptions of this type of clinical service. A mixed methods study design was employed to examine the outcomes of a weekly dysphagia assessment clinic conducted via telerehabilitation and examine issues relating to service delivery and user perceptions. Data was collected across a total of 100 patient assessments. Information relating to primary patient outcomes, session statistics, patient perceptions, and clinician perceptions was examined. Results revealed that session durations averaged 45 minutes, there was minimal technical difficulty experienced, and clinical decisions made regarding primary patient outcomes were comparable between the online and face to face clinicians. Patient satisfaction was high and clinicians felt that they developed good rapport, found the system easy to use, and were satisfied with the service in over 90% of the assessments conducted. Key factors relating to screening patient suitability, having good general organization, and skilled staff were identified as facilitators for the service. This trial has highlighted important issues for consideration when planning or implementing a telerehabilitation service for dysphagia management.
Performance Evaluation of the Wireless Tree Wi-Fi Video Surveillance System

A Wireless Fidelity (Wi-Fi) video surveillance system consists of an array of Internet Protocol (IP) cameras connected to Wireless Access Points (WAP, conveniently initialed as AP) or wireless routers. These APs connect to the local server for local viewing and to remote servers via the backbone and the Internet for remote viewing. The proposed new wireless tree video surveillance scheme is compared with the star and wired tree equivalents on IEEE802.11g standard. Throughput results show that the wireless tree outperforms the other two by 100% with a packet loss of 2.3%. Further, the wireless tree implementation had its jitter, packet end-to-end delay values within the acceptable standard limits. The results were obtained using OPNET modeler 14.5.
Estimating illegal and unreported catches from marine ecosystems: a basis for change

To evaluate the impacts of fishing on marine ecosystems, the total extraction of fish must be known. Putting a figure on total extraction entails the difficult task of estimating, in addition to reported landings, discards, illegal and unmandated catches. Unreported catches cast various types of shadow, which may be tracked and estimated quantitatively. Some shadows of unreported catches are reviewed, for example, an innovative, well-funded NGO publicizes illegal catch in the Southern Ocean. For various reasons, official figures often have the implicit but unacceptable assumption that such categories are null. We present an estimation procedure based on adjustment factors taken from observer reports, correspondents and published information that track changes in a regulatory regime, and hence reflect incentives and disincentives to misreport. Monte Carlo simulations address uncertainty using multiple sources of information to provide upper and lower estimates. Once in place, this method provides preliminary estimates that may be refined without disruption. The method is demonstrated for fisheries in Iceland and Morocco. We use a ‘by-species’ approach for Icelandic cod and haddock, while the Moroccan catch is divided into demersal and pelagic categories. Results suggest that Icelandic cod catches may have been underestimated by between 1 and 14% at different times, and haddock by between 1 and 28%. Underestimation of Moroccan catches appears to have been as much as by 50%. These case studies show that it is possible to obtain estimates of misreporting, even when direct data are lacking. Our method encourages transparency because sources of information are presented so that uncertain values are easily identified, offering a basis for comment, collaboration and refinement in estimating illegal and unreported fishing.