Miracle-dz/UniFAR-FTUs huggingface dataset:
The ‘Goal-Corrected Partnership’ in Attachment Theory: A Critical Assessment of the Research Programme

Attachment Theory may be the largest research programme in human development. But the contours of the theory remain quite difficult to define. Indeed, a pressing requirement to clarify what the ‘theory’ actually contends remains. This thesis is an interdisciplinary project that brings the dual lens of history and philosophy to shed new light on the theory. John Bowlby’s (1907-1990) goals and methods for Attachment Theory were both radical and innovative. First, he set out to ‘radically’ overhaul the entire of edifice of psychoanalysis— what he would call Freud’s original metapsychology. Second, Bowlby combined three fields in a manner that anticipated today’s more integrative non-dualist, non-reductive approaches to the human mind: (1) Tinbergen’s four questions in behavioural biology, (2) questions in emotion research, and (3) a range of concepts from the cognitive sciences, especially Craik’s concept of mental models. This integrative approach marks a philosophical commitment to naturalism. I distinguish 13 attachment constructs—the initial 12 allocated across the Tinbergen framework. This provides a helpful approach for clarifying the inherent complexity of the theory. Indeed, an historical picture beginning in the 1950s suggests how complexity has been increasingly embraced. A 13th construct—the organisational perspective—provides a plank for tying attachment to philosophical insights from Developmental Systems Theory (DST). Bowlby’s Goal-Corrected Partnership (GCP) proposed that attachment relationships develop beyond infancy and require engagement with newly emerging cognitive skills. The thesis argues that the GCP offers an important corrective to conceptualisations that somehow narrowly conceive attachment phenomena as a purely implicit, infancy derived, affectively triggered ‘protection’ function. Attachment Theory makes possible a reintroduction of a developmental perspective into psychiatry. Its causal credentials could also provide a breath of fresh air for a mental health arena dominated by symptoms, signs and their removal. Finally an acknowledgement of GCP relationships, matches the growing empirical awareness that behaviour, emotion and cognition may be more integrated phenomena than current studies allow.
Selective attention to philopatric models causes directed social learning in wild vervet monkeys

Human behaviour is often based on social learning, a mechanism that has been documented also in a variety of other vertebrates. However, social learning as a means of problem-solving may be optimal only under specific conditions, and both theoretical work and laboratory experiments highlight the importance of a potential model's identity. Here we present the results from a social learning experiment on six wild vervet monkey groups, where models were either a dominant female or a dominant male. We presented ‘artificial fruit’ boxes that had doors on opposite, differently coloured ends for access to food. One option was blocked during the demonstration phase, creating consistent demonstrations of one possible solution. Following demonstrations we found a significantly higher participation rate and same-door manipulation in groups with female models compared to groups with male models. These differences appeared to be owing to selective attention of bystanders to female model behaviour rather than owing to female tolerance. Our results demonstrate the favoured role of dominant females as a source for ‘directed’ social learning in a species with female philopatry. Our findings imply that migration does not necessarily lead to an exchange of socially acquired information within populations, potentially causing highly localized traditions.
Relative asymptotic behavior of pseudoholomorphic half‐cylinders

In this article we study the asymptotic behavior of pseudoholomorphic half‐cylinders that converge exponentially to a periodic orbit of a vector field defined by a framed stable Hamiltonian structure. Such maps are of central interest in symplectic field theory and its variants (symplectic Floer homology, contact homology, and embedded contact homology). We prove a precise formula for the asymptotic behavior of the “difference” of two such maps, generalizing results from [6, 7, 12, 15]. Using this result with a technique from [14], we then show that a finite collection of pseudoholomorphic half‐cylinders asymptotic to coverings of a single periodic orbit is smoothly equivalent to solutions to a linear equation. © 2007 Wiley Periodicals, Inc.
Gauge bosons and the AdS 3 /LCFT 2 correspondence

We study the relationship between the gauge boson coupled to spin 2 operator and the singleton in three-dimensional anti-de Sitter space(AdS3). The singleton can be expressed in terms of a pair of dipole ghost fields A and B which couple to D and C operators on the boundary of AdS3. These operators form the logarithmic conformal field theory(LCFT2). Using the correlation function for logarithmic pair, we calculate the greybody factor for the singleton. In the low temperature limit of ω >> T±, this is compared with the result of the bulk AdS3 calculation of the gauge boson. We find that the gauge boson cannot be realized as a model of the AdS3/LCFT2 correspondence.
Range image acquisition of objects with non-uniform albedo using structured light range sensor

We present an approach to acquisition of range images of objects with non-uniform albedo using a structured light sensor. The main idea is to systematically vary the intensity of the light projector and to form high dynamic scale radiance maps. The range images are then formed from these radiance maps. We tested the method on the objects which have surfaces with very different reflectance properties. We demonstrate that the range images obtained from the high dynamic scale radiance maps are of much better quality, than those obtained directly from the original images of a limited dynamic scale.
Doubly Iterative Receiver for MIMO Amplify-And-Forward Relay Networks

In this paper we consider a Multi-Input Multi-Output (MIMO) wireless relay network which comprises of a source terminal, a destination terminal and a relay. The transmission from the source terminal to the destination is divided into two phases. During Phase I, the source terminal sends its signals to the relay. The relay only amplifies and forwards its received signals to the destination terminal during Phase II, i.e., the network works in the Amplify-and-Forward (AF) mode. In this mode, the noise elements at the relay at Phase I are also amplified and forwarded through a link (from the relay to the destination terminal). It makes the overall noises across antennas of the destination terminal correlated. This correlation is characterized by a noise covariance matrix. Hence, for the purpose of data detection at the destination terminal, we need to estimate channel coefficients as well as the noise covariance matrix. In the considered network, an error correcting code (ECC) is used. We propose a doubly iterative receiver to estimate channel information and decode transmitted signals. The estimation part is an application of the Expectation Conditional Maximization (ECM) algorithm. Turbo-equalization is used to provide soft information of transmitted signals to the ECM-based algorithm. Simulation results show that our doubly iterative receiver provides an excellent BER performance.
Analysis of Into-Out Wireless Body Area Network Systems : Towards QoS-Aware Health Internet of Things Applications

In this paper, an analytical and accurate in-to-out (I2O) human body path loss (PL) model at 2.45 GHz is derived based on a 3D heterogeneous human body model under safety constraints. The bit error rate (BER) performance for this channel using multiple efficient modulation schemes is investigated and the link budget is analyzed based on a predetermined satisfactory BER of 10 ́3. In addition, an incremental relay-based cooperative quality of service-aware (QoS-aware) routing protocol for the proposed I2O WBAN is presented and compared with an existing scheme. Linear programming QoS metric expressions are derived and employed to maximize the network lifetime, throughput, minimizing delay. Results show that binary phase-shift keying (BPSK) outperforms other modulation techniques for the proposed I2O WBAN systems, enabling the support of a 30 Mbps data transmission rate up to 1.6 m and affording more reliable communication links when the transmitter power is increased. Moreover, the proposed incremental cooperative routing protocol outperforms the existing two-relay technique in terms of energy efficiency. Open issues and on-going research within the I2O WBAN area are presented and discussed as an inspiration towards developments in health IoT applications.
JPEG Anti-Forensics With Improved Tradeoff Between Forensic Undetectability and Image Quality

This paper proposes a JPEG anti-forensic method, which aims at removing from a given image the footprints left by JPEG compression, in both the spatial domain and DCT domain. With reasonable loss of image quality, the proposed method can defeat existing forensic detectors that attempt to identify traces of the image JPEG compression history or JPEG anti-forensic processing. In our framework, first because of a total variation-based deblocking operation, the partly recovered DCT information is thereafter used to build an adaptive local dithering signal model, which is able to bring the DCT histogram of the processed image close to that of the original one. Then, a perceptual DCT histogram smoothing is carried out by solving a simplified assignment problem, where the cost function is established as the total perceptual quality loss due to the DCT coefficient modification. The second-round deblocking and de-calibration operations successfully bring the image statistics that are used by the JPEG forensic detectors to the normal status. Experimental results show that the proposed method outperforms the state-of-the-art methods in a better tradeoff between the JPEG forensic undetectability and the visual quality of processed images. Moreover, the application of the proposed anti-forensic method in disguising double JPEG compression artifacts is proven to be feasible by experiments.
Early prediction on imbalanced multivariate time series

Multivariate time series (MTS) classification is an important topic in time series data mining, and lots of efficient models and techniques have been introduced to cope with it. However, early classification on imbalanced MTS data largely remains an open problem. To deal with this issue, we adopt a multiple under-sampling and dynamical subspace generation method to obtain initial training data, and each training data is used to learn a base learner. Finally, an ensemble classifier is introduced for early classification on imbalanced MTS data. Experimental results show that our proposed methods can achieve effective early prediction on imbalanced MTS data.
The PISA Tasks: Unveiling Prospective Elementary Mathematics Teachers’ Difficulties with Contextual, Conceptual, and Procedural Knowledge

ABSTRACT The aim of this mixed methods study was to investigate the difficulties prospective elementary mathematics teachers have in solving the Programme for International Student Assessment (PISA) 2012 released items. A mathematics test consisting of 26 PISA items was administered, followed by interviews. Multiple data were utilized to provide rich insights into the types of mathematical knowledge that a particular item requires and prospective teachers’ difficulties in using these knowledge types. A sample of 52 prospective teachers worked the mathematics test, and 12 of them were interviewed afterwards. The data-sets were complementary: the quantitative data showed that PISA items could be categorized under contextual, conceptual, and procedural knowledge and indicated the most frequent difficulties in the combined contextual, conceptual, and procedural knowledge items. The qualitative data revealed that few prospective teachers could give mathematical explanations for conceptual knowledge items, and that their contextual knowledge was fragmented. Educational implications were discussed.
Optimized Design of Injection Mould for Mobile Phone Front Shell Based on CAE Technology

There is a lot of limitations in the traditional process of mould design and manufacturing. With the development of the science and technology, especially in the field of the computer, CAE technology begins to be applied widely in the process of modern mould design and manufacturing. The results of CAE simulation analysis of injection molding can provide reliable and optimized reference data for mould design and manufacturing. Applying CAE simulation analysis technology of injection molding can not only increase the probability of success in mould test but also improve greatly the quality of mould design and manufacturing. In this paper, the injection molding process of mobile phone front shell is analyzed. The best position of gate is discussed by using the Moldflow software. The optimized design scheme of feed system is determined in view of the particular structure of the plastic part. Then the simulation flow analysis of injection molding is carried into execution. On the basis of CAE analysis of injection molding, the whole injection mould structure is designed and the working procedure of injection mould is stated.
European Conference on Information Systems ( ECIS ) 2010 Review of the IS Offshoring Literature : The Role of Cross-Cultural Differences and Management Practices

There is a world-wide trend towards global cross-cultural networks of outsourcing relationships that are enabled by the extensive use of informationand communication technology (ICT). While ICT reduces national boundaries of global collaboration, cultural differences between outsourcers and vendor firms in offshore locations pose unique management challenges. This literature review analyzes the role of cultural differences between client and vendor companies and management practices in the information systems (IS) offshore outsourcing context. The analysis of the existing IS literature reveals limitations concerning prior conceptualizations of culture and cultural differences and provides ideas for future research on the effect of cultural differences as well as cultural, relationship, knowledge, and project management techniques. In particular, the existing literature can be grouped into formal and informal mechanisms as well as learning issues. Future research could adopt a more integrated and balanced perspective, taking into account formal and informal mechanisms and analyzing the interplay with learning issues.
Network structures and fast distributed MMSE estimation

We construct optimal estimation algorithms over distribut ed networks for state estimation in the mean-square error (MSE) sense. Here, we have a distributed c oll ction of agents with processing and cooperation capabilities. These agents continually ob serve a noisy version of a desired state of the nature through a linear model and seek to learn this sta te by interacting with each other. Although this problem has attracted significant attention a nd extensively been studied in several different fields including machine learning theory to signal pro cessing, all the well-known strategies achieve suboptimal learning performance in the MSE sense. To this end, we provide algorithms that achieve distributed minimum MSE (MMSE) per formance over an arbitrary network topology based on the aggregation of information at eac h agent. This approach di ffers from the diffusion of information across network, i.e., exchange of loca l estimates per time instance. Importantly, we show that exchange of local estimates is su fficient only over the certain network topologies. By inspecting these network structures, we als o propose strategies that achieve the distributed MMSE performance also through the di ffusion of information such that we can substantially reduce the communication load while achieving t he best possible MSE performance. For practical implementations we provide approaches to red uc the complexity of the algorithms through the time-windowing of the observations. Finally, i n the numerical examples, we demonstrate the superior performance of the introduced algorith ms in the MSE sense due to optimal estimation.
Evoq© Software: A Springboard to Creativity

: The focus of this paper is on two levels of creativity. The first level is that inherent to natural language; the second is organizational creativity. The purpose of the content analysis software we are developing (Evoq©) is to highlight the natural creativity of language in use (first level of creativity). By focusing on the links (associations and disjunctions) between terms in discourses, Evoq© uses “plurivocity” of contextual meaning as a source of creativity (first level). This cannot be done by classical language analysis methods that center on linear causality. The software is, therefore, an interesting tool for researchers who conduct organizational analysis. It enables them to enhance the second level of creativity—organizational creativity—thanks to the concepts and visualization offered by the tool. As illustrated by two empirical examples, Evoq© enables the researcher or consultant who focuses on discourses in one or many organizations to detect the terms of references and presuppositions in speech, the semantic universe in which speakers are embedded. And this is the first step in a process of creativity in organizations. By highlighting assumptions, contradictions, or paradoxes in organizations, it is then feasible to create alternatives in these settings.
Interaction between neighboring vegetation patches: Impact on flow and deposition

Flow and sedimentation around patches of vegetation are important to landscape evolution, and a better understanding of these processes would facilitate more effective river restoration and wetlands engineering. In wetlands and channels, patches of vegetation are rarely isolated and neighboring patches influence one another during their development. In this experimental study, an adjacent pair of emergent vegetation patches were modeled by circular arrays of cylinders with their centers aligned in a direction that was perpendicular to the flow direction. The flow and deposition patterns behind the pair of patches were measured for two stem densities and for different patch separations (gap widths). The wake pattern immediately behind each individual patch was similar to that observed behind an isolated patch, with a velocity minimum directly behind each patch that produced a well‐defined region of enhanced deposition in line with the patch. For all gap widths (Δ), the velocity on the centerline between the patches (Uc) was elevated to a peak velocity Umax that persisted over a distance Lj. Although Umax was not a function of Δ, Lj decreased with decreasing Δ. Beyond Lj, the wakes merged and Uc decayed to a local minimum. The merging of wakes and associated velocity minimum produced a local maximum in deposition downstream from and on the centerline between the patches. If this secondary region of enhanced deposition promotes new vegetation growth, the increased drag on the centerline could slow velocity between the upstream patch pair, leading to conditions favorable to their merger.
Convexity Conditions for 802.11 WLANs

In this paper we characterise the maximal convex subsets of the (non-convex) rate region in 802.11 WLANs. In addition to being of intrinsic interest as a fundamental property of 802.11 WLANs, this characterisation can be exploited to allow the wealth of convex optimisation approaches to be applied to 802.11 WLANs.
Effects of Low Concentrations of Rotenone Upon Mitohormesis in SH-SY5Y Cells

The mitochondrial toxin rotenone exerts cytotoxicity via overproduction of reactive oxygen species (ROS) and depolarization of the mitochondrial membrane. We investigated the effects of rotenone (12.5, 25, 50, 100 nmol/L) on mitochondrial biogenesis and the potential roles of ROS production in SH-SY5Y cells. Mitochondrial biogenesis was assessed by counting the number of mitochondria, determining protein expression of peroxisome proliferator-activated receptor γ coactivator α (PGC1-α) and its regulator, SIRT1, and oxygen consumption. ROS production and levels of reduced glutathione (GSH) and oxidized glutathione(GSSG) were also determined. Compared with controls, rotenone (12.5 nmol/L) significantly increased the quantity of mitochondria and amount of oxygen consumption, whereas rotenone at >12.5 nmol/L decreased the quantity of mitochondria and amount of oxygen consumption. GSH contents and GSH/GSSG were also significantly enhanced by rotenone at 12.5 nmol/L and decreased by rotenone at >12.5 nmol/L. Except for ROS production and SIRT1 protein expression, all concentration–response relationships showed a typical inverted-U shape. ROS production was continually increased in cells treated with rotenone. These data indicate that low concentrations of rotenone can induce mitohormesis, which may be attributed to ROS production.
Accurate magnetic field measurements of Vega-like stars and Herbig Ae/Be stars ⋆

We obtained accurate circular spectropolarimetric observations of a sample of Vega-like and Herbig Ae/Be stars with FORS 1 at the VLT in an attempt to detect their magnetic fields. No magnetic field could be diagnosed in any Vega-like star. The most accurate determination of a magnetic field, at 2.6 σ level, was performed for the Vega-like star ι Cen, for which we measuredBz� = −77 ± 30 G. In the prototype of Vega-like stars, the star β Pictoris, which shows conspicuous signs of chromospheric activity, a longitudinal magnetic field is measured only at ∼1.5 σ level. We diagnosed a longitudinal magnetic field for the first time at a level higher than 3 σ for the two Herbig Ae stars HD 31648 and HD 144432 and confirm the existence of a previously detected magnetic field in a third Herbig Ae star, HD 139614. Finally, we discuss the discovery of distinctive Zeeman features in the unusual Herbig Ae star HD 190073, where the Ca ii doublet displays several components in both H and K lines. From the measurement of circular polarization in all Balmer lines from Hβ to H8, we obtainBz� =+ 26 ± 34 G. However, using only the Ca ii H and K lines for the measurement of circular polarization, we are able to diagnose a longitudinal magnetic field at 2.8 σ level, � Bz� =+ 84 ± 30 G.
From Stigma to Resistant Career Discourses: Toward a Co-Cultural Career Communication Model for Non-Dominant Group Member

Career communication focuses on Western and dominant members’ work and careers in formal economies. Applying co-cultural theory to anthropological data, we show how groups, such as the Roma people, operate within dialectics of inclusion-exclusion, dignity-stigma, individual-collectivity, and legality-illegality to construct career discourses marked by resistance and resource recuperation. Building on Lucassen, Willems, and Cottaar (1998), we have identified five characteristics of Romany experiences of work and resistance: (a) the entire family functioning as the work unit; (b) mobility; (c) preference for self-employment; (d) the rhetoric of recuperation; and (e) work used as resistance toward dominant majorities. In doing so, we offer an ideological critique of career and the Roma. Our model is applicable to other marginalized groups.