Miracle-dz/UniFAR-FTUs huggingface dataset:
Designing for family phatic communication: a design critique approach

Changing patterns of domestic life mean that it is increasingly common for people to work away from home for extended periods. Communications technologies are arguably positioned to help repair ensuing emotional disconnects. We are exploring the use of technology to support re-engagement in the quotidian rituals of family life to foster emotional connectedness whilst away from home. Adopting a design research approach, we develop five sensibilities for productively critiquing and developing design proposals for such domestic technologies. These sensibilities, Temporality, Expression, Connectivity, Reciprocality and Perceivable Volume, are derived from a critical analysis of 68 extant designs, which we illustrate with six exemplars supporting differing levels of ritualistic behaviour. To demonstrate the critical utility of these sensibilities for design processes, we interrogate two early design sketches. We contribute further critical reflections on design research methods and the role of 'design critique' in technology development.
Text normalization system for Bangla

This paper describes a process of text normalization system of Bangla language (exonym: Bengali) by identifying the semiotic classes from Bangla text corpus. After identifying the semiotic classes a set of rules were written for tokenization and verbalization. This study is important for Text-To-Speech (TTS) system and as well as in language model for speech recognition.
The Structure of Cold Dark Matter Halos

We investigate the internal structure of cold dark matter halos using high resolution N-body simulations. As the mass and force resolution are increased, halo density profiles become steeper, asymptoting to a slope of $\sim -4/3$ in the central regions and may not have converged to a unique result. At our highest resolution we have nearly 3 million particles within the virial radius, $R_{200}$, and force softening that is $\sim 0.2% R_{200}$. This resolution has also allowed us to resolve a large part of the overmerging problem - we find over 1000 surviving dark halos orbiting within a single cluster potential. These data have given us unprecedented insights into the dynamics and structure of ``halos within halos'', allowing us for the first time, to compare the distribution of dark matter with observations of galaxies in clusters.
A low power capacitive coupled bus interface based on pulsed signaling

A synchronous pulsed signaling system, using on-chip capacitive coupling, for low-power high-speed buses has been implemented in a 0.10-/spl mu/m CMOS DRAM process. We demonstrate 1.0-Gb/s/pair differential pulsed signaling over 10-cm PCB lines with an increased channel 3-dB bandwidth of 2.94 GHz by blocking the driver/receiver capacitances on a bus and eliminating ESD structures. The system dissipates 1.92 mW for both the driver and channel termination at 500 MHz and 1.8-V supply, which is only 1/8 to 1/13 of conventional memory buses using SSTL-2 and RSL.
Unrealistic Expectations for Suicide Prevention: Implications for Counseling Centers

ABSTRACT Counseling centers are under intense pressure to prevent student suicide. When a student dies by suicide, the counseling center practitioner may be held liable as though all such deaths are ultimately preventable. Expectations that suicide can be prevented 100% of the time conflict with the actual capabilities of treatment providers and disregard their limited power to control the behavior of others. These expectations also fail to recognize that mental health professionals’ ability to accurately predict suicide is no better than chance. Nonetheless, the unattainable demands placed on clinicians do not originate with higher education but from the treatment community itself. Some of the consequences of these high expectations regarding the behavior of clinicians are reviewed. A plea is made for the treatment community to adopt more reasonable expectations internally and to promote them outwardly among stakeholders.
Dynamic parallel message processing with transactional memory in the actor model

The actor model, initially proposed by Hewitt [5], is a successful message-passing approach that can be instrumental in addressing limitations of performance/energy gains caused by current scaling trends at the CPU level. An actor is an independent, asynchronous object with an encapsulated state that can only be modified locally based on the exchange of messages. The actor model introduces desirable properties such as encapsulation, fair scheduling, location transparency, and data consistency to the programmer.
Sequencing and functional annotation of avian pathogenic Escherichia coli serogroup O78 strains reveals the evolution of E. coli lineages pathogenic for poultry via distinct mechanisms

Citation for published version: Dziva, F, Hauser, H, Connor, TR, van Diemen, PM, Prescott, G, Langridge, GC, Eckert, S, Chaudhuri, RR, Ewers, C, Mellata, M, Mukhopadhyay, S, Curtiss, R, Dougan, G, Wieler, LH, Thomson, NR, Pickard, DJ & Stevens, MP 2013, 'Sequencing and functional annotation of avian pathogenic Escherichia coli serogroup O78 strains reveals the evolution of E. coli lineages pathogenic for poultry via distinct mechanisms', Infection and Immunity, vol. 81, no. 3, pp. 838-849. https://doi.org/10.1128/IAI.00585-12
2 2 6 Fe b 20 01 de Sitter space from M-theory ?

In this note we study a massive IIA supergravity theory obtained in hep-th/9707139 by compact-ification of M-theory. We point out that de Sitter space in arbitrary dimensions arises naturally as the vacuum of this theory. This explicitly shows how de Sitter space can be embedded into eleven-dimensional supergravity. In addition we discuss the novel way in which this theory avoids various 'no-go theorems' which assert that de Sitter space is not a consistent vacua of eleven-dimensional supergravity theory. We also point out that the eight-branes of this theory, which couple electrically to the ten-form, will typically sweep out de Sitter world-volumes.
Social-Psychological Interventions in Education

Recent randomized experiments have found that seemingly “small” social-psychological interventions in education—that is, brief exercises that target students’ thoughts, feelings, and beliefs in and about school—can lead to large gains in student achievement and sharply reduce achievement gaps even months and years later. These interventions do not teach students academic content but instead target students’ psychology, such as their beliefs that they have the potential to improve their intelligence or that they belong and are valued in school. When social-psychological interventions have lasting effects, it can seem surprising and even “magical,” leading people either to think of them as quick fixes to complicated problems or to consider them unworthy of serious consideration. The present article discourages both responses. It reviews the theoretical basis of several prominent social-psychological interventions and emphasizes that they have lasting effects because they target students’ subjective experiences in school, because they use persuasive yet stealthy methods for conveying psychological ideas, and because they tap into recursive processes present in educational environments. By understanding psychological interventions as powerful but context-dependent tools, educational researchers will be better equipped to take them to scale. This review concludes by discussing challenges to scaling psychological interventions and how these challenges may be overcome.
The cut separator problem

Given G = (V, E) an undirected graph and two speci ed nonadjacent nodes a and b of V , a cut separator is a subset F = δ(C) ⊆ E such that a, b ∈ V \C and a and b belong to di erent connected components of the graph induced by V \C. Given a nonnegative cost vector c ∈ R|E| + , the optimal cut separator problem is to nd a cut separator of minimum cost. This new problem is closely related to the vertex separator problem. In this paper, we give a polynomial time algorithm for this problem. We also present four equivalent linear formulations, and we show their tightness. Using these results we obtain an explicit short polyhedral description of the dominant of the cut separator polytope.
Searches for Fast Radio Transients

We discuss optimal detection of fast radio transients from astrophysical objects while taking into account the effects of propagation through intervening ionized media, including dispersion, scattering, and scintillation. Our analysis applies to the giant-pulse phenomenon exhibited by some pulsars, for which we show examples, and to radio pulses from other astrophysical sources, such as prompt radio emission from gamma-ray burst sources and modulated signals from extraterrestrial civilizations. We estimate scintillation parameters for extragalactic sources that take into account scattering both in the host galaxy and in foreground Galactic plasma.
A Wavelet Digital Watermarking Algorithm Based on Chaotic Mapping

A scheme of wavelet digital watermarking based on chaotic mapping is discussed in this paper. In this algorithm, Arnold transform is applied into scrambling the original watermark, and the iteration of scrambling transformation is taken as the private key. Then the embedding addresses of the watermark are obtained by the two dimensional (2-D) chaotic mapping to improve the security of the watermark. Hence, discrete wavelet transform, i.e. DWT, is used to decompose the original image. Simultaneously, the watermark is embedded into the selected frequency band. Finally, an approach for blind extraction is adopted to improve the practicability of the algorithm during the process of extracting the watermark. The experimental results demonstrate its good unification between the robustness and invisibility.
Spatial Multizone Soundfield Reproduction: Theory and Design

Spatial multizone soundfield reproduction over an extended region of open space is a complex and challenging problem in acoustic signal processing. In this paper, we provide a framework to recreate 2-D spatial multizone soundfields using a single array of loudspeakers which encompasses all spatial regions of interest. The reproduction is based on the derivation of an equivalent global soundfield consisting of a number of individual multizone soundfields. This is achieved by using spatial harmonic coefficients translation between coordinate systems. A multizone soundfield reproduction problem is then reduced to the reproduction over the entire region. An important advantage of this approach is the full use of the available dimensionality of the soundfield. This paper provides quantitative performances of a 2-D multizone system and reveals some fundamental limits on 2-D multizone soundfield reproduction. The extensions of the multizone soundfield reproduction design in reverberant rooms are also included.
Forecasting container throughput with big data using a partially combined framework

This study proposes a partially-combined forecasting framework for container throughput based on big data composed of structured historical data and unstructured data. Under the proposed framework, the structured data (the original time series) is firstly decomposed into linear component and nonlinear component. Seasonal auto-regression integrated moving average model (SARIMA) is adopted to capture and forecast the linear component, and a combined model, composed of least squares support vector regression (LSSVR) and artificial neural network (GP), is applied to modeling the nonlinear component. Next, unstructured data is analyzed by an expert system. With the synthesized expert judgment, the forecasts of linear and nonlinear components are integrated into a final forecast. For the illustration and verification purpose, an empirical study is conducted with the data of Qingdao Port. The results show that the model under the proposed framework significantly outperforms its competitive rivals.
Urine antibody tests: new insights into the dynamics of HIV-1 infection.

BACKGROUND Noninvasive methodologies provide alternatives to diagnostic blood tests and have high patient acceptance, increased safety, and reduced costs. Such tests may supplement or replace blood diagnostic assays currently in use. METHODS Using a licensed urine-based test for antibody to HIV-1, we performed 25 991 HIV-1 urine antibody enzyme immunoassay (EIA) screening tests [confirmable by HIV-1 Western blot (WB)] on paired urine and blood specimens obtained from high- and low-risk HIV-1 subjects collected at six sites representative of the US population. RESULTS Using HIV-1 urine EIA tests confirmed by urine Western blot, a compartmentalized immune response (urine positive/serum negative) occurred in 0.24% of a cohort of 11 896 subjects. In the same cohort, specimens that were urine negative/serum positive occurred in 0.17% of subjects. In a second study of 25 991 subjects that included 859 high-risk individuals, the false-positive urine EIA frequency (urine WB negative or indeterminate) was 1.3%. This false-positive frequency in the high-risk cohort was attributed, in part, to an IgA antibody response. We tabulated urine and serum indeterminate reactivities and examined their possible causes. Data are presented showing that antibodies from a seroindeterminate HIV-1vau group O subject were reactive in urine EIA and urine WB tests. An analysis of the HIV-1vau strain group O env nucleotide sequence disclosed a high frequency of homology with human chromosome 7q31, a fragile site implicated in many human malignancies. CONCLUSIONS These results demonstrate the utility of urine for alternative HIV-1 antibody testing and provide new insights into the pathogenesis of HIV-1 infection and into potential application of this approach in investigation of other microbial pathogens and toxic compounds.
Knowledge And Learning Strategies In Principal MentoringCoaching Relationships

This qualitative study investigates the relationship between the principal MentorCoach and the principal Mentee in terms of the learning that is taking place between these two individuals. This study addresses a gap in the Mentoring/Coaching literature as little is known about how the professional knowledge of participants is influenced through participation in educational leadership Mentoring/Coaching programs. This study also links to current interest in knowledge mobilization and the interaction between research and practitioner knowledge. In broad terms, the research will investigate what kind of knowledge is being incorporated in principal MentoringCoaching relationships in the programs sampled. With its deeper analysis of the knowledge and learning strategies that are being used in the MentoringCoaching experience, this research is of particular interest to future participating administrators and school districts developing MentoringCoaching programs as a vehicle for supporting and enriching the experience of new principals as school leaders.
A Three-tier Parallel Simulated Annealing algorithm and its application

The paper presents a novel Three-tier Parallel Simulated Annealing algorithm with Memory function (TPSAM) based on multi-core computer with Threading Building Blocks (TBB). The purpose of a new memory function is not to trap into a local optimization. TPSAM is decomposed into three-tier: data decomposition parallelism, task processing parallelism and data composition parallelism and it can improve the convergence rate. TBB offers a rich and complete approach to express parallelism in a C++ program. Sequential Simulated Annealing algorithm with Memory function (SSAM) and TPSAM are implemented based on TBB with C++ for room allocation problem. Experiments show that a better global optimal solution can be reached and the quality of solution is better and the running efficiency is also sooner than before with the TPSAM.
Approximate rank-detecting factorization of low-rank tensors

We present an algorithm, AROFAC2, which detects the (CP-)rank of a degree 3 tensor and calculates its factorization into rank-one components. We provide generative conditions for the algorithm to work and demonstrate on both synthetic and real world data that AROFAC2 is a potentially outperforming alternative to the gold standard PARAFAC over which it has the advantages that it can intrinsically detect the true rank, avoids spurious components, and is stable with respect to outliers and non-Gaussian noise.
K-theory in cutoff version of Vacuum String Field Theory

Solutions of the Vacuum String Field Theory (VSFT) equation of motion involving matter part are given by projectors, and they represent nonperturbative solutions (e.g. the sliver) interpreted as D25-branes (or lower dimensional branes), but they are not mathematically well defined as they have zero norm. In this work we will use a regularization procedure based on the cutoff version of Moyal String Field Theory (MSFT), a particular version of VSFT, and we will see that both the sliver and the butterfly states, in this regime, have a good mathematical description. In particular they are exponential functions belonging to $\Sc(\RR^{2Nd})$, the space of Schwartzian functions equipped with the *-product. Then we prove that if we classify those regularized solutions with K-theory group built out of the C*-algebra $\bar{\Sc}(\RR^{2Nd})$ we find exactly the same result obtained considering a K-theoretic classification of D25-branes in usual string theory, using the topological K-theory of vector bundles over the D25-brane worldvolume. We then comment on the meaning of this result and possible physical implications.
A component-based UML profile to model embedded real-time systems designed by the MDA approach

A component-based UML profile is built to develop embedded real-time systems. To specify the specific characteristics of embedded systems, the model driven architecture (MDA) approach and component-based modeling are employed. Component-based UML models are designed as Platform Independent Models (PIM) to be translated to platform specific models (PSM) for target-platform implementation, which deal with functional and non-functional properties. Taking specific platform features into regard, specific component models result from transformations mapping a platform-independent component model to either the process and experiment automation real-time language (PEARL) or to function blocks according to IEC 61131-3 or IEC 61499. Both PIM and PSM are collected in a UML profile which can be used as an application framework in developing embedded real-time systems.
Contention Reduction in Core Optical Packet Switches Through Electronic Traffic Smoothing and Scheduling at the Network Edge

A contention-aware packet-scheduling scheme for slotted optical packet switching (OPS) networks is proposed, which employs edge-traffic shaping to reduce contention, coupled with a modified type of renegotiated service incorporating rate prediction. Queuing and scheduling of traffic is implemented electronically within the edge nodes, shaping user traffic into streams, which have a fixed bit rate only for a short period, which is renegotiated at regular intervals in response to user requirements and network conditions. Via an appropriate protocol, edge nodes gain knowledge of relevant network scheduling and topology information. This is used to schedule user-data packets appropriately, in order to reduce contention. Simulation and analytical results demonstrate that in the core, under typical conditions, packet loss below 10-8 may be obtained, with a load of 0.8 and with core optical-packet switch buffers having only 20-slot capacity. The tradeoffs between parameters affecting such results are investigated, demonstrating clearly that much more modest optical core buffers than previously thought necessary can provide acceptable performance. The performance and scalability of these proposals are investigated and discussed, demonstrating their feasibility
Building the Northern Tien Shan: Integrated Thermal, Structural, and Topographic Constraints

Paired apatite fission track and U‐Th/He dates provide the first Late Cenozoic cooling ages for the northern Tien Shan. These data clearly argue for pulsed deformation since the Late Miocene, with early (10–11 Ma) and late (0–3 Ma) intervals of rapid exhumation separated by an extended interval of much slower rates. By integrating these bedrock cooling rates with shortening estimates derived from a balanced section, detrital cooling ages, and geomorphological estimates of conditions before deformation, we reconstruct a four‐stage history of range growth and exhumation. Following ∼100 m.yr. of tectonic quiescence, abruptly accelerated rock uplift, exhumation, and cooling in the Kyrgyz Range commenced at ∼11 Ma with rates exceeding ∼1 km/m.yr. During the subsequent 7 m.yr. , deformation and cooling rates decreased three‐ to sixfold before accelerating by comparable amounts during the past 3 m.yr. Since mid‐Miocene times, the surface elevation of the Kyrgyz Range has increased ∼2 km, consistent with the reconstructed magnitude of crustal shortening (∼11 km) and thickening (∼12 km) across the range. The highly pulsed deformation rates indicate that the locus of deformation probably shifted repeatedly within the Tien Shan from the Miocene to present. Even at their most rapid, Cenozoic shortening rates in the Kyrgyz Range were equivalent to only 10%–20% of the modern geodetic convergence rate across the entire Tien Shan. This requires several ranges within the Tien Shan to have deformed simultaneously since the Middle Miocene, a situation analogous to the distributed shortening seen today.
SURVEILLANCE SYSTEMS WITH AUTOMATIC RESTORATION OF LINEAR MOTION AND OUT-OF-FOCUS BLURRED IMAGES

Linear motion and out-of-focus blur often coexist in a surveillance system, which degrade the quality of acquired images and thus complicate the task of object recog- nition and event detection. In this work, we present a point spread function-based (PSF- based) approach considering fundamental characteristics of linear motion and out-of- focus blur based on geometric optics to restore coexisting motion and out-of-focus blurred images without application-dependent parameters selection, where a sharpness measure is employed as a cost function to automatically select optimal parameter values for PSF. To verify the effectiveness of our proposed approach, we compare our approach with existing de-blur approaches. Experimental results shows our proposed method can automatically select optimal parameter values for PSF and outperform existing de-blur approaches.