Miracle-dz/UniFAR-FTUs huggingface dataset:
The contribution of familiarity to within- and between-domain associative recognition memory: Use of a modified remember/know procedure

The purpose of the present study was to determine the extent to which familiarity can support associative recognition memory as a function of whether the associations are within- or between-domain. Standard recognition and familiarity only performance were compared in different participants, using a new adaptation of the remember/know procedure. The results indicated that within-domain (face–face) associative recognition was mainly supported by familiarity. In contrast, familiarity provided relatively poor support to between-domain (face–name) associative recognition for which optimal performance required a major recollection contribution. These findings suggest that familiarity can support associative recognition memory, particularly for within-domain associations, and contrast with the widely held view that associative recognition depends largely on recollection.
Paradoxes of Participation: Textual Analysis and Organizational Change

This paper applies literary theory and methods to four accounts of organiza tional change. The paper furthers an understanding of change processes and demonstrates the contribution of literary approaches. With regard to the first purpose, the paper points out several paradoxes connected with organizational change. For example, although the stated aim of the programme was 'involve ment', the texts indicate a constant play between inclusion and exclusion of individuals. As for the second purpose, I argue that the texts produce and reproduce a particular interpretation of change and that literary methods reveal the social construction of organizational change.
Managerial Change, Longevity, and Organizational Effectiveness.

College basketball team records were used to examine the effects of coaching changes and length of tenure on team effectiveness. Coaching change and team effectiveness were found to be inversely related but this relationship depended on team performance prior to the change. This led to the conclusion that coaching shifts do not affect performance. The data suggest, however, that length of coaching tenure is a significant variable affecting team performance. The relationship is curvilinear: the longer the coaching tenure, the greater the team success, but after a certain length of time (thirteen years or so) team effectiveness begins to decline.
Hardware Support for Flexible Distributed Shared Memory

Workstation-based parallel systems are attractive due to their low cost and competitive uniprocessor performance. However, supporting a cache-coherent global address space on these systems involves significant overheads. We examine two approaches to coping with these overheads. First, DSM-specific hardware can be added to the off the-shelf component base to reduce overheads. Second, application-specific coherence protocols can avoid some overheads by exploiting programmer (or compiler) knowledge of an application's communication patterns. To explore the interaction between these approaches, we simulated four designs that add DSM acceleration hardware to a collection of off-the-shelf workstation nodes. Three of the designs support user-level software coherence protocols, enabling application-specific protocol optimizations. To verify the feasibility of our hardware approach, we constructed a prototype of the simplest design. Measured speedups from the prototype match simulation results closely. We find that, even with aggressive DSM hardware support, custom protocols can provide significant speedups for some applications. In addition, the custom protocols are generally effective at reducing the impact of other overheads, including those due to less aggressive hardware support and larger network latencies. However, for three of our benchmarks, the additional hardware acceleration provided by our most aggressive design avoid the need to develop more efficient custom protocols.
THE RELATIONSHIP BETWEEN TOCK RETURN ASYMMETRIES AND CORPORATE GOVERNANCE: AN EMPIRICAL WORK ON THE TURKISH CASE

In this paper, we investigate the relationship between stock return asymmetries, i.e. stock market return volatility and corporate governance by using the data of selected companies listed on Istanbul Stock Exchange (ISE) and we test the hypothesis whether there is a correlation between the quality of corporate governance, concentration of ownership and the positive skewness of ISE listed company returns. We discuss our findings that positive skewness is most profound in stock market returns for companies that have poor corporate governance. In addition, companies with more concentrated ownership also have greater positive skewness. That is, if a company’s ownership is more concentrated, it is more likely that managers have more discretionary power to disclose information, which induces more positive skewness. We find that our results are consistent with some of theoretical models in the literature and also our results are robust to different measures of return asymmetries and to alternative measures of corporate governance.
Drawing a line in water: Constructing the school censorship frame in popular music education

The apparent ideological tensions between popular musics and formal school contexts raise significant issues regarding teachers’ popular repertoire selection processes. Such decision-making may be seen to take place within a school censorship frame, through which certain musics and their accompanying values are promoted, whilst others are suppressed. Through semi-structured interviews with five Finnish music teachers, the narrative instrumental case study reported in this article aims to explore secondary school music teachers’ understandings of the school censorship frame and its influence on their popular repertoire decisions. The findings suggest that the school censorship frame is composed of dynamic and interrelated big stories: teachers’ cultural, religious and curricular narrative environments; and small stories: stories of school, staff, parents, themselves as a teacher, and stories of their students. This study illustrates the complex, situational and multifaceted negotiations involved in including or excluding popular repertoire from school activities, suggesting that teachers’ decisions require ethical deliberation in aiming towards an inclusive, democratic music education.
Exploiting location information and enabling adaptive mobile ad hoc network protocols

Abstract : Mobile Ad Hoc Networks (MANETs) consist of a group of mobile nodes which form a communication network without prior infrastructure. Each node in the network is responsible to provide services to other nodes in order to realize the ad hoc communication capability. A key component and primary challenge in MANETs is routing data packets over multiple hops between nodes. MANET routing has received considerable research interest recently. However, no routing protocol proposed to date has proven to be effective in the wide range of mobility conditions present in a MANET. We combine location information and mobility feedback to create an innovative MANET routing protocol which we prove is effective over a wide range of mobility conditions typical in a MANET. We introduce link duration as our mobility feedback metric, and we demonstrate that mobility feedback using link duration effectively enables adaptive MANET protocols. Using our mobility feedback agent, we develop a hybrid MANET routing protocol which adapts in order to combine the strengths of both component protocols while avoiding their weaknesses. Our hybrid, adaptive protocol achieves data packet delivery ratios above 80% in highly demanding network mobility conditions (i.e. link durations less than 4 seconds and node speeds up to 40 m/s). No existing MANET routing protocol can achieve such high performance operating alone. In addition we show that location information increases the performance of MANET routing. Finally, we develop a comprehensive set of mathematical models for data packet delivery ratio, overhead, and delay. These models confirm the suitability of link duration as a mobility metric, validate our simulation results and conclusions, and provide valuable insight into reactive MANET routing protocol operation.
Improving Link Ranking Quality by Quasi-Common Neighbourhood

Most of the best performing link prediction ranking measures evaluate the common neighbourhood of a pair of nodes in a network, in order to assess the likelihood of a new link. On the other hand, the same zero rank value is given to node pairs with no common neighbourhood, which usually are a large number of potentially new links, thus resulting in very low quality overall link ranking in terms of average edit distance to the optimal rank. In this paper we introduce a general technique for improving the quality of the ranking of common neighbours-based measures. The proposed method iteratively applies any given ranking measure to the quasi-common neighbours of the node pair. Experiments held on widely accepted datasets show that QCNAA, a quasi-common neighbourhood measure derived from the well know Adamic-Adar (AA), generates rankings which generally improve the ranking quality, while maintaining the prediction capability of the original AA measure.
A variational message passing algorithm for sensor self-localization in wireless networks

We propose a novel algorithm for sensor self-localization in cooperative wireless networks where observations of relative sensor distances are available. The variational message passing (VMP) algorithm is used to implement a mean field solution to the estimation of the posterior probabilities of the sensor positions in an ∝2 scenario. Extension to ∝3 is straight-forward. Compared to non-parametric methods based on belief propagation, the VMP algorithm features significantly lower communication overhead between sensors. This is supported by performance simulations which show that the estimated mean localization error of the algorithm stabilizes after approximately 30 iterations.
A Multi-layered Protein Network Stabilizes the Escherichia coli FtsZ-ring and Modulates Constriction Dynamics

The prokaryotic tubulin homolog, FtsZ, forms a ring-like structure (FtsZ-ring) at midcell. The FtsZ-ring establishes the division plane and enables the assembly of the macromolecular division machinery (divisome). Although many molecular components of the divisome have been identified and their interactions extensively characterized, the spatial organization of these proteins within the divisome is unclear. Consequently, the physical mechanisms that drive divisome assembly, maintenance, and constriction remain elusive. Here we applied single-molecule based superresolution imaging, combined with genetic and biophysical investigations, to reveal the spatial organization of cellular structures formed by four important divisome proteins in E. coli: FtsZ, ZapA, ZapB and MatP. We show that these interacting proteins are arranged into a multi-layered protein network extending from the cell membrane to the chromosome, each with unique structural and dynamic properties. Further, we find that this protein network stabilizes the FtsZ-ring, and unexpectedly, slows down cell constriction, suggesting a new, unrecognized role for this network in bacterial cell division. Our results provide new insight into the structure and function of the divisome, and highlight the importance of coordinated cell constriction and chromosome segregation.
Determination of R-peaks in ECG signal using Hilbert Transform and Pan-Tompkins Algorithms

Electrocardiogram (ECG) illustrates the electrical activity in the heart, and it is the most important physiological parameter that gives the correct assessment regarding the functioning of the heart. Accurate detection of R peaks in the ECG signal is an important parameter in determining of heart disorders. In this study, The R peaks of ECG records from the Physionet MIT-BIH arrhythmia database were detected using Hilbert Transform and Pan-Tompkins Algorithms. The Pan-Tompkins R peak detector is validated using the ECG records of the MIT-BIH arrhythmia database, and achieves with detection accuracy of 97.12%, sensitivity of 98.46% and positive predictivity of 98.62%.
Language as a Tool for Thought: The Vocabulary of Games Facilitates Strategic Decision Making

People in competitive decision-making situations often make poor choices because they inadequately understand the decision they are to make, particularly because they fail to consider contingencies such as how their opponent will react to their choice (Tor & Bazerman, 2004). Accordingly it would be useful to have a generally applicable vocabulary to guide people towards effective interpretations of decision situations. The vocabulary of games provides one such toolkit. We presented 508 participants with words from the vocabulary of games, or some lesser form of support, on a tic-tac-toe decision scenario. Participants then generated a course of action for a second competitive decision-making scenario. Participants presented with words from the vocabulary of games were more likely to transfer and generate sound explanations of contingencies than participants receiving the same key information in other terms or lesser support. Vocabularies not only invoke particular framings of decision situations, but can guide reasoning through those and subsequent decisions as well.
Literacy-related school readiness skills of English language learners in Head Start: An analysis of the school readiness survey

The purpose of this study is to examine the effects of Head Start on early literacy skills relevant to school readiness of English language learners compared to their peers. The comparisons of literacy outcomes were conducted between English language learners and non-English language learners when both groups participated and were not in Head Start. A total of 47 covariates were involved in propensity score analysis, and average treatment effects for the treated individuals were used to estimate the literacy outcome differences from the comparisons. The results indicated that early literacy outcomes of English language learners and non-English language learners were significantly different in recognizing alphabetic letters and rhyming words regardless of whether or not both English language learners and non-English language learners attend in Head Start. Being in Head Start did not contribute to reducing the gap between English language learners and non-English language learners. Finally, the limitations of this study and future directions for research and practice are discussed.
Who is studying science? The impact of widening participation policies on the social composition of UK undergraduate science programmes

This paper reports the findings of an Economic and Social Research Council-funded study investigating patterns of participation in UK higher education science programmes across two decades. Using data on applications and acceptances to university, the paper describes trends in the proportions of candidates who choose to study science and science-related degree programmes. Two key findings emerge. Firstly, in terms of age, occupational background and ethnic group, patterns of participation in science subjects have remained relatively stable over the period considered. Where inequalities do exist they appear largely unaffected by policies aimed at widening access. Secondly, the characteristics of students who study the broad range of science and science-related subjects are little different to those of the wider student population. However, where differences do occur they are in the type of science degree that individuals choose, with entrants from traditional backgrounds more likely to study the more prestigious science subjects. This is exemplified in the physical sciences which remain largely the preserve of White, traditional-age students from professional and managerial backgrounds. The analyses suggest that policies aimed at increasing or widening participation in science in UK higher education appear to have had limited impact on the social composition of the full-time undergraduate science population, in terms of their age, occupational and ethnic group.
Ensuring temperature-insensitivity of dual-Vt designs through ITD-aware synthesis

In old CMOS technologies above 90 nm, operating a circuit in high-temperature regime was implying an increase in the total delay. This was due to the fact that both interconnects and gates were slowing down as temperature was raising. For transistors with feature size of 90 nm and below, this picture started changing. In particular, the threshold voltage to supply voltage ratio of high-Vt cells in a library is now very close to 1. Consequence of this is the appearance of the so-called Inverted Temperature Dependence (ITD) of the propagation delay of such cells. In other words, while for low-Vt gates the delay does increase with temperature, high-Vt gates show the opposite behavior; they get faster as they get warmer. This new, complicated dependence of delay vs. temperature poses new challenges to circuit designers and, in turn, to the EDA tools. Besides making timing analysis more difficult, ITD has important and unforeseeable consequence for power-aware logic synthesis. Expanding on our recent work [1], [2], this paper describes the impact that ITD may have on the design of modern, nanometer VLSI circuits. We also provide a more refined algorithm for dual-Vt synthesis which guarantees temperature-insensitive operation of the circuits, together with a significant reduction of both leakage and total power consumption. In fact, experiments performed on a set of standard benchmarks show timing compliancy at any temperature, and an average leakage reduction around 22% w.r. t. circuits synthesized with a standard, commercial flow that does not take ITD into account and thus, to ensure that no temperature-induced timing faults occur, needs to resort to overdesign (i.e., overconstraining the timing bound so as to make sure that temperature fluctuations never make the circuits violating the specified required time for all paths).
A G Protein-gated K Channel Is Activated via [32-adrenergic Receptors and G[3 / Subunits in Xenopus Oocytes

In many tissues, inwardly rectifying K channels are coupled to seven-helix receptors via the Gi/Go family of heterotrimeric G proteins. This activation proceeds at least partially via G[3`/subunits. These experiments test the hypothesis that G[3`/subunits activate the channel even if released from other classes of heterotrimeric G proteins. The G protein-gated K channel from rat atrium, KGA/GIRK1, was expressed in Xenopus oocytes with various receptors and G proteins. The [32-adrenergic receptor ([32AR), a Gs-linked receptor, activated large KGA currents when the a subunit, Gas, was also overexpressed. Although Gas augmented the coupling between [32AR and KGA, Gas also inhibited the basal, agonist-independent activity of KGA. KGA currents stimulated via [32AR activated, deactivated, and desensitized more slowly than currents stimulated via Gi/Go-linked receptors. There was partial occlusion between currents stimulated via [32AR and the m2 muscarinic receptor (a Gi/Go-linked receptor), indicating some convergence in the mechanism of activation by these two receptors. Although stimulation of [32AR also activates adenylyl cyclase and protein kinase A, activation of KGA via [32AR is not mediated by this second messenger pathway, because direct elevation of intracellular cAMP levels had no effect on KGA currents. Experiments with other coexpressed G protein ct and [3~, subunits showed that (a) a constitutively active Gas mutant did not suppress basal KGA currents and was only partially as effective as wild type Gas in coupling [32AR to KGA, and (b) [3-/subunits increased basal KGA currents. These results reinforce present concepts that [3`/ subunits activate KGA, and also suggest that [3`/subunits may provide a link between KGA and receptors not previously known to couple to inward rectifiers.
Imagining the unseen

Missing data due to occlusion is a key challenge in 3D acquisition, particularly in cluttered man-made scenes. Such partial information about the scenes limits our ability to analyze and understand them. In this work we abstract such environments as collections of cuboids and hallucinate geometry in the occluded regions by globally analyzing the physical stability of the resultant arrangements of the cuboids. Our algorithm extrapolates the cuboids into the un-seen regions to infer both their corresponding geometric attributes (e.g., size, orientation) and how the cuboids topologically interact with each other (e.g., touch or fixed). The resultant arrangement provides an abstraction for the underlying structure of the scene that can then be used for a range of common geometry processing tasks. We evaluate our algorithm on a large number of test scenes with varying complexity, validate the results on existing benchmark datasets, and demonstrate the use of the recovered cuboid-based structures towards object retrieval, scene completion, etc.
A new Burg method based approach to MCSA for broken rotor bar detection

This paper presents a new approach to Motor Current Spectral Analysis (MCSA) for broken rotor bar detection. Said approach consists of applying the Discrete Fast Fourier Transform on stator current data of a three-phase induction motor, and analyzing the amplitude spectrum obtained for characteristic broken rotor bar sidebands. The difference from traditional techniques is borne out by the very short time window over which the stator current is sampled, which enables early detection of broken bars. This short-time current data is extrapolated to a longer time window using signal modeling and prediction via the Burg method, thus mitigating the shortcomings of the DFFT over short data windows. The spectrum of the extrapolated signal shows adequate frequency resolution for effective fault detection.
Migration and Homelessness: The Social Networks of Homeless Poles in Oslo

This article discusses the results of fieldwork conducted among physically homeless Polish migrants in Oslo, Norway. I focus on the social networks that are a part of the migrants' social capital, and which should ideally prevent them from a state of ‘rooflessness’. I present the narratives of these Polish rough-sleepers in Oslo and analyse their links with the home country and their bonds with the Polish community in Norway and with the wider Norwegian society. I focus on the migrants' daily survival strategies, ways of obtaining information about work and accommodation and economical exchanges as indicators of their network links. I distinguish the limitations of migrants' social networks in extricating them from a situation of homelessness. Based on this analysis, a simple typology of the Polish homeless in Oslo is presented—largely comparable with other homeless groups described elsewhere.
Modeling parameters of mill load based on dual layer selective ensemble learning strategy

Different frequency spectral feature sub-sets of mill shell vibration and acoustical signals contain different information for modeling parameters of mill load. Selective ensemble modeling based on manipulate training samples can improve generalization performance of soft sensor model. Based on the former studies, we proposed a new dual layer selective ensemble learning strategy. At first, vibration and acoustical frequency spectral feature sub-sets are extracted and selected by the methods in literature [15]. Then, selective ensemble modeling method based on genetic algorithm and kernel partial least squares (GASEN-KPLS) is used to construct the first layer selective ensemble model for every feature sub-set. Finally, brand and band (BB) and adaptive weighting fusion (AWF) algorithm is use to select and combine the outputs of the first layer models to construct the second layer selective ensemble model. Results indicate that the proposed approach can perform reasonably well on estimate mill load parameters of a laboratory ball mill grinding process.