Miracle-dz/UniFAR-FTUs huggingface dataset:
The phenomenological and discursive practice of place in lifestyle migration: a case study of Stanthorpe, Queensland

Lifestyle migration, popularly known as ‘tree-’ or ‘sea-change’ in Australia, is a phenomenon increasingly depicted in various media including films, television shows, books, blogs and magazines. Much of the previous research on lifestyle migration has been anthropological and sociological in approach, and has not fully examined the important links to the media so prevalent in late modernity. In contrast, this research is positioned within cultural studies and employs a cultural, materialist and phenomenological approach. Using three methods, textual analysis, interviews and researcher reflections, it examines how selected texts depict lifestyle migration, influence the lived experience, and impact identity. To pursue these foci, textual and discursive analyses of recent lifestyle migration media were conducted. These analyses were combined with semi-structured interviews with 12 lifestyle migrants—using Stanthorpe, Queensland as a case study—and personal reflections of the researcher, also a lifestyle migrant, to offer a fuller, hermeneutical analysis. The central argument of this thesis is that texts create and are created by imagined worlds which influence people to make life decisions that then impact their necessarily emplaced identity. I argue that employing a cultural studies orientation to the field of lifestyle migration, and engaging methods such as discourse analysis, interviews and personal reflections, produces new understandings that reflect the growing importance of cultural texts on the decisions made in our day-to-day lives. These understandings would not be possible using one method alone. This approach both extends and deepens the field of lifestyle migration research and situates it within existing social imaginaries and popular discourse central to the late modern experience.
A Comparative Study of Group Profiling Techniques in Co-authorship Networks

Group profiling methods aim to construct a descriptive profile for communities in complex networks. The application of such methods in the analysis of co-authorship networks enables us to move forward in understanding the scientific communities, leading to new approaches to strengthen and expand scientific collaboration networks. This task is similar to the document cluster labeling task, which encourages the adaptation of cluster labeling methods for group profiling problems. In this work, we present a comparative study of group profiling and cluster labeling algorithms in a co-authorship network. A qualitative survey was conducted to evaluate the generated profiles, as well as the pros and cons of different profiling strategies, were analyzed with concrete examples. The results demonstrated a similar performance of both group profiling and cluster labeling methods.
Experience report: a multi-classroom report on the value of peer instruction

Peer Instruction (PI) has a significant following in physics, biology, and chemistry education. Although many CS educators are aware of PI as a pedagogy, the adoption rate in CS is low. This paper reports on four instructors with varying motivations and course contexts and the value they found in adopting PI. Although there are many documented benefits of PI for students (e.g. increased learning), here we describe the experience of the instructor by looking in detail at one particular question they posed in class. Through discussion of the instructors' experiences in their classrooms, we support educators in consideration of whether they would like to have similar classroom experiences. Our primary findings show instructors appreciate that PI assists students in addressing course concepts at a deep level, assists instructors in dynamically adapting their class to address student misunderstandings and, overall, that PI encourages students to be engaged in conversations which help build technical communication skills. We propose that using PI to engage students in these activities can effectively support training in analysis and teamwork skills.
A network model of activities in primary care consultations

Abstract Objective The objective of this study is to characterize the dynamic structure of primary care consultations by identifying typical activities and their inter-relationships to inform the design of automated approaches to clinical documentation using natural language processing and summarization methods. Materials and Methods This is an observational study in Australian general practice involving 31 consultations with 4 primary care physicians. Consultations were audio-recorded, and computer interactions were recorded using screen capture. Physical interactions in consultation rooms were noted by observers. Brief interviews were conducted after consultations. Conversational transcripts were analyzed to identify different activities and their speech content as well as verbal cues signaling activity transitions. An activity transition analysis was then undertaken to generate a network of activities and transitions. Results Observed activity classes followed those described in well-known primary care consultation models. Activities were often fragmented across consultations, did not flow necessarily in a defined order, and the flow between activities was nonlinear. Modeling activities as a network revealed that discussing a patient’s present complaint was the most central activity and was highly connected to medical history taking, physical examination, and assessment, forming a highly interrelated bundle. Family history, allergy, and investigation discussions were less connected suggesting less dependency on other activities. Clear verbal signs were often identifiable at transitions between activities. Discussion Primary care consultations do not appear to follow a classic linear model of defined information seeking activities; rather, they are fragmented, highly interdependent, and can be reactively triggered. Conclusion The nonlinearity of activities has significant implications for the design of automated information capture. Whereas dictation systems generate literal translation of speech into text, speech-based clinical summary systems will need to link disparate information fragments, merge their content, and abstract coherent information summaries.
k-space imaging of the eigenmodes of sharp gold tapers for scanning near-field optical microscopy

Summary We investigate the radiation patterns of sharp conical gold tapers, which were designed as adiabatic nanofocusing probes for scanning near-field optical microscopy (SNOM). Field calculations show that only the lowest order eigenmode of such a taper can reach the very apex and thus induce the generation of strongly enhanced near-field signals. Higher-order modes are coupled into the far field at finite distances from the apex. Here, we demonstrate experimentally how to distinguish and separate between the lowest and higher-order eigenmodes of such a metallic taper by filtering in the spatial frequency domain. Our approach has the potential to considerably improve the signal-to-background ratio in spectroscopic experiments at the nanoscale.
Disruption of spermatogenesis in mice lacking A-type lamins

Nuclear lamins are structural protein components of the nuclear envelope. Mutations in LMNA, the gene coding for A-type lamins, result in several human hereditary diseases, the laminopathies, which include Emery-Dreifuss muscular dystrophy, dilated cardiomyopathy, familial partial lipodystrophy and Hutchinson-Gilford progeria. Similar to the human conditions, it has been shown that Lmna–/– mice develop severe dystrophies of muscle and fat tissues. Here we report that Lmna–/– mice display impaired spermatogenesis, with a significant accumulation of spermatocytes I during early prophase I stages, while pachytene spermatocytes are severely defective in synaptic pairing of the sex chromosomes in particular, leading to massive apoptosis during the pachytene stage of meiosis I. In contrast, oogenesis remains largely unaffected in Lmna–/– mice. These results reveal A-type lamins as important determinants of male fertility.
Dual-Level Parallel Analysis of Harbor Wave Response Using MPI and OpenMP

The authors describe their experiences converting an existing serial production code to a parallel code combining both MPI and OpenMP. Such dual-level parallel codes will be able to take full advantage of the emerging class of high performance computer architectures using small clusters of shared-memory processors connected via a message-passing network. While the focus is restricted to a harbor response simulation code, the techniques presented herein are appropriate for a broad class of applications that explore a parameter space. The code modifications reduced the execution time of one test case from 3100 minutes on a single CPU to just over 12 minutes on 256 CPUs. Results demonstrate that dual-level parallelism allows substantial increases in model resolution combined with improvements in simulation turnaround time but, contrary to conventional wisdom, requires very little source code alteration.
Data Analytics and STEM Student Success: The Impact of Predictive Analytics-Informed Academic Advising Among Undeclared First-Year Engineering Students

Science, Technology, Engineering, and Mathematics student success is an important topic in higher education research. Recently, the use of data analytics in higher education administration has gain popularity. However, very few studies have examined how data analytics may influence Science, Technology, Engineering, and Mathematics student success. This study took the first step to investigate the influence of using predictive analytics on academic advising in engineering majors. Specifically, we examined the effects of predictive analytics-informed academic advising among undeclared first-year engineering student with regard to changing a major and selecting a program of study. We utilized the propensity score matching technique to compare students who received predictive analytics-informed advising with those who did not. Results indicated that students who received predictive analytics-informed advising were more likely to change a major than their counterparts. No significant effects was detected regarding selecting a program of study. Implications of the findings for policy, practice, and future research were discussed.
Mechanism of radiation‐induced bystander effects: a unifying model

The radiation‐induced bystander effect represents a paradigm shift in our understanding of the radiobiological effects of ionizing radiation, in that extranuclear and extracellular events may also contribute to the final biological consequences of exposure to low doses of radiation. Although radiation‐induced bystander effects have been well documented in a variety of biological systems, the mechanism is not known. It is likely that multiple pathways are involved in the bystander phenomenon, and different cell types respond differently to bystander signalling. Using cDNA microarrays, a number of cellular signalling genes, including cyclooxygenase‐2 (COX‐2), have been shown to be causally linked to the bystander phenomenon. The observation that inhibition of the phosphorylation of extracellular signal‐related kinase (ERK) suppressed the bystander response further confirmed the important role of the mitogen‐activated protein kinase (MAPK) signalling cascade in the bystander process. Furthermore, cells deficient in mitochondrial DNA showed a significantly reduced response to bystander signalling, suggesting a functional role of mitochondria in the signalling process. Inhibitors of nitric oxide (NO) synthase (NOS) and mitochondrial calcium uptake provided evidence that NO and calcium signalling are part of the signalling cascade. The bystander observations imply that the relevant target for various radiobiological endpoints is larger than an individual cell. A better understanding of the cellular and molecular mechanisms of the bystander phenomenon, together with evidence of their occurrence in‐vivo, will allow us to formulate a more accurate model for assessing the health effects of low doses of ionizing radiation.
Soft-In Soft-Output Detection in the Presence of Parametric Uncertainty via the Bayesian EM Algorithm

We investigate the application of the Bayesian expectation-maximization (BEM) technique to the design of soft-in soft-out (SISO) detection algorithms for wireless communication systems operating over channels affected by parametric uncertainty. First, the BEM algorithm is described in detail and its relationship with the well-known expectation-maximization (EM) technique is explained. Then, some of its applications are illustrated. In particular, the problems of SISO detection of spread spectrum, single-carrier and multicarrier space-time block coded signals are analyzed. Numerical results show that BEM-based detectors perform closely to the maximum likelihood (ML) receivers endowed with perfect channel state information as long as channel variations are not too fast.
InfoGather+: semantic matching and annotation of numeric and time-varying attributes in web tables

Users often need to gather information about "entities" of interest. Recent efforts try to automate this task by leveraging the vast corpus of HTML tables; this is referred to as "entity augmentation". The accuracy of entity augmentation critically depends on semantic relationships between web tables as well as semantic labels of those tables. Current techniques work well for string-valued and static attributes but perform poorly for numeric and time-varying attributes. In this paper, we first build a semantic graph that (i) labels columns with unit, scale and timestamp information and (ii) computes semantic matches between columns even when the same numeric attribute is expressed in different units or scales. Second, we develop a novel entity augmentation API suited for numeric and time-varying attributes that leverages the semantic graph. Building the graph is challenging as such label information is often missing from the column headers. Our key insight is to leverage the wealth of tables on the web and infer label information from semantically matching columns of other web tables; this complements "local" extraction from column headers. However, this creates an interdependence between labels and semantic matches; we address this challenge by representing the task as a probabilistic graphical model that jointly discovers labels and semantic matches over all columns. Our experiments on real-life datasets show that (i) our semantic graph contains higher quality labels and semantic matches and (ii) entity augmentation based on the above graph has significantly higher precision and recall compared with the state-of-the-art.
Verifying Computations with Streaming Interactive Proofs

When computation is outsourced, the data owner would like to be assured that the desired computation has been performed correctly by the service provider. In theory, proof systems can give the necessary assurance, but prior work is not sufficiently scalable or practical. In this paper, we develop new proof protocols for verifying computations which are streaming in nature: the verifier (data owner) needs only logarithmic space and a single pass over the input, and after observing the input follows a simple protocol with a prover (service provider) that takes logarithmic communication spread over a logarithmic number of rounds. These ensure that the computation is performed correctly: that the service provider has not made any errors or missed out some data. The guarantee is very strong: even if the service provider deliberately tries to cheat, there is only vanishingly small probability of doing so undetected, while a correct computation is always accepted. We first observe that some theoretical results can be modified to work with streaming verifiers, showing that there are efficient protocols for problems in the complexity classes NP and NC. Our main results then seek to bridge the gap between theory and practice by developing usable protocols for a variety of problems of central importance in streaming and database processing. All these problems require linear space in the traditional streaming model, and therefore our protocols demonstrate that adding a prover can exponentially reduce the effort needed by the verifier. Our experimental results show that our protocols are practical and scalable.
Computational Study of the Effect of Slot Orientation on Synthetic Jet-Based Separation Control

A computational study is conducted to explore the effect of synthetic jet orientation on boundary layer separation control. A six-to-one aspect-ratio rectangular slot is chosen in the current study and streamwise and spanwise orientations of this slot are analyzed. In the first part of this study, the interaction of the jet with an attached laminar boundary layer for both slot configurations is examined. The dominant feature in the streamwise oriented slot is a pair of strong counter-rotating streamwise vortices and these are missing in the spanwise oriented slot configuration. These streamwise vortices undergo stretching and tilting to form a series of hairpin vortex structures and analysis shows that "sweeping" motions associated with these vortices bring high momentum fluid into the boundary layer. A variety of flow statistics are computed and these indicate that despite the smaller overall blockage represented by the streamwise oriented slot, it is more effective in increasing the momentum of the boun.
Environmental Impacts Having Different Altitude on Day-Degree Units with Yield and Fiber Quality of Cotton (Gossypium hirsutum L.) F1 Hybrids Obtained By Line x Tester Design

Sicaklik, pamukta ( Gossypium hirsutum L.) buyume ve gelismeyi etkileyen en onemli bir faktordur. Bu calisma, 2011 yilinda yapilan melezlemeyi takiben, 2012 yilinda, yukseltileri farkli Kahramanmaras ve Elbistan kosullarinda yurutulmustur. Calismada, Coklu dizi (Line x Tester) yontemine uygun melezlemeyle gelistirilmis onbes F 1 kombinasyonu ile bu melezlerin sekiz ebeveyni, tesaduf bloklari deneme desenine gore dort tekerrurlu yetistirilmis ve genotiplerin taraklanma, ciceklenme, koza acma ve hasat donemlerine ait gun sayilari ve gun-derece unitelerinin yani sira kutlu pamuk verimi, circir randimani, lif inceligi ve lif uzunlugu incelenmistir. Lokasyonlar arasindaki fark lif uzunlugu haric diger ozelliklerde degisime neden olmustur. Genotipler, taraklanma icin Elbistan kosullarinda daha cok, ilk cicek, ilk koza acma ve hasat zamanlari icin daha az gun-derece unitesi kullanirken, bu unitelerin temini icin Kahramanmaras’tan daha fazla gun sayisina ihtiyac duyulmustur. Bu durum, Elbistan’da 195 gunde temin edilen 1593.5 o C gun-derece unitesiyle 207.41 kg da -1 ortalama kutlu uretimini olustururken, Kahramanmaras’ta 157 gunde temin edilen 2480.1 o C gun-derece unitesiyle 426.25 kg da -1 kutlu uretimi olusmustur. Sonuc olarak ise Elbistan icin 1x4 F 1 melezi ile Fantom cesidinin, Kahramanmaras icin ise 1x5 F 1 melezi ile Stoneville 468 cesidinin onemli oldugu saptanmistir.
AKARI/FIS Mapping of the ISM-Wind Bow Shock around $\alpha $ Orionis

We present 100 500scan maps around an M supergiant Ori at 65, 90, 140, and 160 m obtained with the AKARI Infrared Astronomy Satellite. Higher spatial resolution data with the exact analytic solution permit us to fit the de-projected shape of the stellar-wind bow shock around Ori to have a stand-off distance of 4:08, position angle of 55i and inclination angle of 56i. The shape of the bow shock suggests that the velocity of Ori with respect to the local medium is v = 40n 1=2 H , where nH is the hydrogen nucleus density at Ori. We found that the local medium is of nH = 1.5 to 1.9 cm 3 and the velocity of the local flow is at 11 km s 1 by using the most recent astrometric solutions for Ori under the assumption that the medium local to Ori is moving away from the Orion OB 1 association. AKARI images may also reveal a vortex ring due to instabilities on the surface of the bow shock, as demonstrated by numerical models. This research exemplifies the potential of AKARI All-Sky data as well as follow-up observations with Herschel Space Telescope and Stratospheric Observatory for Infrared Astronomy for this avenue of research in revealing the nature of the interaction between the stellar wind and the interstellar medium.
Benchmarking Linac Codes for the HIPPI Experiment at UNILAC

One of the main tasks of the beam dynamics working package of the European network “High Intensity Pulsed Proton Injector” (HIPPI) is the comparison and validation of 3D linac codes in the high current regime. Several codes are available and currently run for such simulations. Different approaches used to describe the space charge effects and different lattice modeling (expecially regarding the RF) may pose severe problems understanding the source of discrepancies when tracking simulations at high current are run. For this reason the code benchmarking has been divided in three steps. The first is a ”static” comparison of space charge calculations: common Gaussian ensembles of particles are given as input to the codes and the Poisson solvers are run without any tracking. The resulting space charge electric fields are compared with the analytical solution against different numerical parameters and boundary conditions. To investigate the effects of numerical errors on the single particle dynamics the instantaneous depressed tune is inferred using the previous calculated space charge electric fields and compared again with an analytical solution. The second step consists of tracking simulation with a zero-current beam using a common Gaussian input distribution and the lattice of the UNILAC DTL section for comparison among codes. The scope of this test is dual: first the preparation of the input files for all the codes checking carefully that they describe the same structure; second the understanding of discrepancies arising from the different representation of physical elements implemented in the codes, especially for the RF. In the last step tracking simulations will be run in the same conditions of the experiments planned for the beginning of 2006: measured beam current, profiles and emittances at the DTL entrance will be used to create input distributions that best fit these values and the results will be compared with profiles and emittances measured downstream at the DTL exit. Five codes have been used so far: IMPACT [1], DYNAMION [2], TOUTATIS [3], PARMILA [4] and HALODYN [5]. Details about the program and the updated status of the benchmarking can be found in [6]. Fig. 1 shows the relative error of the computed “static” space charge electric field as function of the distance from the bunch center. The relative error shows for all codes an exponential drop within the bunch core, whereas outside some differences appear. It was observed [6] that these discrepancies are highly sensitive to mesh box size and the kind of boundary conditions chosen. Comparing the depressed single particle tune computed by codes with analytic analytic values, showed similar performances of the PIC codes: even for a severe tune depression of 0.7, the differences are bounded to about 30% [6]. Preliminary tracking simulations of the UNILAC DTL sections have been run using a zero-current beam to inves0 1 2 3 4 5 6 7 0.001 0.01 0.1 1