Miracle-dz/UniFAR-FTUs huggingface dataset:
Making and Unmaking Bodies: Academic Women in Art Education

The 2014 suspension of an art education program at State University, a research institution in the Midwest, leads the author’s journey into exploring truths. The exploration begins with biographical artifacts from her academic ancestry at the University. Specifically, the author uses Foucault’s genealogical analysis of descent to investigate visually 10 portrait photographs and two biographies that traverse the 20th century. The visual analysis reveals the ways in which truths both make and unmake the bodies of women academic art teachers at State University. Ultimately, she learns that truths cannot totally imprint bodies without also rendering parts of those truths obsolete. This research also exposes how discourse and the material are marginalized through creative analysis. The concluding discussion challenges art educators to investigate the practices that “disrupt or sustain relations of power and advance knowledge” (Jackson & Mazzei, 2012, p. 57) so that they can continue pushing art education forward in the 21st century.
Social disadvantage and network turnover.

OBJECTIVES Research shows that socially disadvantaged groups--especially African Americans and people of low socioeconomic status (SES)--experience more unstable social environments. I argue that this causes higher rates of turnover within their personal social networks. This is a particularly important issue among disadvantaged older adults, who may benefit from stable networks. This article, therefore, examines whether social disadvantage is related to various aspects of personal network change. METHOD Social network change was assessed using longitudinal egocentric network data from the National Social Life, Health, and Aging Project, a study of older adults conducted between 2005 and 2011. Data collection in Wave 2 included a technique for comparing respondents' confidant network rosters between waves. Rates of network losses, deaths, and additions were modeled using multivariate Poisson regression. RESULTS African Americans and low-SES individuals lost more confidants--especially due to death--than did whites and college-educated respondents. African Americans also added more confidants than whites. However, neither African Americans nor low-SES individuals were able to match confidant losses with new additions to the extent that others did, resulting in higher levels of confidant network shrinkage. These trends are partly, but not entirely, explained by disadvantaged individuals' poorer health and their greater risk of widowhood or marital dissolution. DISCUSSION Additional work is needed to shed light on the role played by race- and class-based segregation on group differences in social network turnover. Social gerontologists should examine the role these differences play in explaining the link between social disadvantage and important outcomes in later life, such as health decline.
Near-Optimal Training-Based Estimation of Frequency Offset and Channel Response in OFDM with Phase Noise

We propose an efficient training-based OFDM channel impulse response (CIR) and carrier frequency offset (CFO) estimation algorithm that addresses the problem of phase noise (PHN), assuming that the PHN has a known prior distribution. The optimal joint estimation of CIR, PHN and CFO was described in an earlier work of ours. In this paper, we focus on the case where a training symbol consists of two identical halves in the time domain, and propose a variant to Moose's CFO estimation algorithm that accounts for PHN in CFO estimation. This is followed by an optimal joint CIR and PHN estimation scheme tailored for this "repeating training symbol" setup. It is assumed that the PHN process is Gaussian with known mean and covariance matrix. This encompasses both Wiener PHN and Gaussian PHN. It is shown through simulations that the proposed algorithm performs almost as well as the optimal JCPCE algorithm at much lower complexity. To further reduce the complexity of the proposed scheme, the conjugate gradient (CG) method is used and we show that it can be realized using the Fast Fourier Transform (FFT).
Web Technologies for Modelling and Visualization in Mechanical Engineering

Modeling and visualization techniques are indispensable tools for the understanding of mechanical systems, mechanism generation and visualization being a challenging subject in order to interpret the data and to have a better understanding of system dynamics. The importance of shape modeling in computational vision, CAD/CAM or virtual prototyping has been recognized for a long time. The idea of function-based approach to shape modeling is that complex geometric shapes can be produced from a “small formula” rather than thousands of polygons. Parametric, implicit or explicit functions and their combinations may be used to define the shapes. Parametric representations of shapes have been discussed in (Metaxas, 1996), and are very appropriate selections when handling complex shapes in three dimensional dimensions. Implicit surfaces remain difficult to visualize and manipulate interactively because they require root-finding to locate the surface (Sarti & Tubaro, 2001). A standard method for visualizing and interacting with implicit surfaces can be found in (Lorensen & Cline, 1987). Other standard methods for visualizing implicit surfaces are ray-tracing (Levoy, 1990) and volume rendering (Drebin et al., 1988). Implicit surfaces have also been visualized using dynamic particle systems (Witkin & Heckbert, 1994). The idea of the hybrid function-based approach (Liu & Sourin, 2006a; Liu & Sourin, 2006b) is to use different mathematical functions to modeling shapes. Based on this approach, the Function-based Extension Virtual Reality was proposed in (Liu & Sourin, 2005a). Following this, Liu and Sourin (Liu & Sourin, 2005b) extended FVRML to defining time dependent objects by analytical formulas as well as with a scripting language. A similar approach for shapes modeling applied to mechanical components generation and visualization was discussed in (Dupac, 2007). Liu and Sourin (Liu & Sourin, 2006b) proposed a function-based extension of Extensible 3D (X3D). The extension allows the use of analytical functions to define geometry, color, 3D texture and operations on 3D shapes, or time-dependent metamorphosis. Chen et al. (Chen et al., 2004) uses 3D representations to visualize a web structure. The authors results pertains to geographical systems and provides information on maps. Cartwright et al. (Cartwright et. al., 2005) presents a project to developing an open system architecture and Web-based shape modeling using HyperFun, a high-level programming language for specifying implicit surfaces and objects. Another approach for 1
Structural Requirements and Dynamics of Mitosin-Kinetochore Interaction in M Phase

ABSTRACT Mitosin is a 350-kDa human nuclear protein which transiently associates with centromeres and spindle poles in M phase. Ultrastructure studies reveal that it is located at the outer kinetochore plate. In this work, we explored the detailed structural basis and dynamics of the mitosin-kinetochore interaction. Two major regions important for targeting to centromeres were identified by analyzing different deletion mutants expressed in CHO cells: (i) the “core region” between amino acids 2792 and 2887, which was essential for the centromere localization of mitosin; and (ii) the internal repeats between residues 2094 and 2487, which cooperated with the core region to achieve strong mitosin-kinetochore interaction. The core region is characteristic of two leucine zipper motifs. Deletion of either motif abolished the centromere localization activity. In addition, Cys2864, adjacent to the second motif, was also essential for the activity of the core region. In contrast, the internal repeats alone were insufficient for centromere localization. We propose that this region may serve as a regulatory domain to facilitate interaction of the core region with the kinetochore. We showed that mitosin molecules entering nuclei after nuclear envelope breakdown (NEBD) were not assembled onto kinetochores efficiently, suggesting that the mitosin-kinetochore interaction is stabilized prior to NEBD. This result supports the idea of an ordered process for kinetochore assembly. Our data also suggest that mitosin might interact with chromatin in interphase. Evidence for coordinated regulation between the centromere-targeting and the putative chromatin-binding activities is also provided.
Brain Imaging for SLA Research: An fMRI Study of L2 Learners' Different Levels of Word Semantic Processing

Using fMRI, the authors observed the brain activation of Japanese learners of English (JLE) while conducting different levels of word semantic processing: antonym judgment task (AJT) and collocation judgment task (CJT). The result showed that AJT generally causes greater brain activation, but CJT leads to greater activation for advanced learners. Also, it emerged that the activated regions are similar in both tasks, but in case of AJT activation in LH gradually decreases as the proficiency increases.
Dynamic program parallelization

Static program analysis limits the performance improvements possible from compile-time parallelization. Dynamic program parallelization shifts a portion of the analysis from complie-time to run-time, thereby enabling optimizations whose static detection is overly expensive or impossible. Lambda tagging and heap resolution are two new techniques for finding loop and non-loop parallelism in imperative, sequential languages with first-class procedures and destructive heap operations (e.g., ML and Scheme). Lambda tagging annotates procedures during compilation with a tag that describes the side effects that a procedure's application may cause. During program execution, the program refines and examines tags to identify computations that may safely execute in parallel. Heap resolution uses reference counts to dynamically detect potential heap aliases and to coordinate parallel access to shared structures. An implementation of lambda tagging and heap resolution in an optimizing ML compiler for a shared memory parallel computer demonstrates that the overhead incurred by these run-time methods is easily offset by dynamically-exposed parallelism and that non-trivial procedures can be automatically parallelized with these techniques.
Epidemic-style Communication Primitives Exploiting Network Topology Information

Gossip-based communication and epidemic-style routing algorithms have been proposed to achieve scalability in distributed systems and to support probabilistic communication when the application of the classic deterministic algorithms and protocols is impossible or unsuitable. In this paper, we present a middleware for probabilistic communication that relies on optimised epidemic-style information dissemination techniques for distributed systems, based on recent results of complex networks theory. The novelty of our approach resides in the evaluation and the exploitation of the structure of the underlying network for the automatic tuning of the dissemination process to control. With respect to unicast communication, we show that protocols that statistically ensure the desired reliability level in the case of homogeneous networks (i.e., a network composed of nodes with the same degree of connectivity) can be designed. We demonstrate that these results can be exploited also in the case of anycast and multicast communication to tune and optimise the replication process. We evaluate our approach analysing the application of these techniques to the case of mobile ad hoc systems, a specific class of distributed systems. Finally, we generalise the model to the case of heterogeneous networks.
Analyzing Data Reusability of Raytrace Application in Splash2 Benchmark

When designing a chip multiprocessors, we use Splash2 to estimate its performance. This benchmark contains eleven applications. The performance when running them is similar, except Raytrace. We analyse it to clarity why the performance is not good. We discover, in theory, Raytrace never reuses data. This leads the fact that the performance is not good due to the low hit ratio in data cache.
Magnetic resonance imaging-based computational modelling of blood flow and nanomedicine deposition in patients with peripheral arterial disease

Peripheral arterial disease (PAD) is generally attributed to the progressive vascular accumulation of lipoproteins and circulating monocytes in the vessel walls leading to the formation of atherosclerotic plaques. This is known to be regulated by the local vascular geometry, haemodynamics and biophysical conditions. Here, an isogeometric analysis framework is proposed to analyse the blood flow and vascular deposition of circulating nanoparticles (NPs) into the superficial femoral artery (SFA) of a PAD patient. The local geometry of the blood vessel and the haemodynamic conditions are derived from magnetic resonance imaging (MRI), performed at baseline and at 24 months post intervention. A dramatic improvement in blood flow dynamics is observed post intervention. A 500% increase in peak flow rate is measured in vivo as a consequence of luminal enlargement. Furthermore, blood flow simulations reveal a 32% drop in the mean oscillatory shear index, indicating reduced disturbed flow post intervention. The same patient information (vascular geometry and blood flow) is used to predict in silico in a simulation of the vascular deposition of systemically injected nanomedicines. NPs, targeted to inflammatory vascular molecules including VCAM-1, E-selectin and ICAM-1, are predicted to preferentially accumulate near the stenosis in the baseline configuration, with VCAM-1 providing the highest accumulation (approx. 1.33 and 1.50 times higher concentration than that of ICAM-1 and E-selectin, respectively). Such selective deposition of NPs within the stenosis could be effectively used for the detection and treatment of plaques forming in the SFA. The presented MRI-based computational protocol can be used to analyse data from clinical trials to explore possible correlations between haemodynamics and disease progression in PAD patients, and potentially predict disease occurrence as well as the outcome of an intervention.
Inverted repetition in the chromosome of pseudorabies virus

An electron microscope examination of pseudorabies virus DNA single strands after self-annealing shows a loop of single-stranded DNA at one end of the molecule contiguous to a double-strand region. The molecule then terminates in a further single-stranded region that does not form a loop. It is suggested that the DNA contains a sequence of 13.3 x 106 daltons at one end, which is repeated internally with opposite polarity. The segment of the genome separating the repeats has a double-strand molecular weight of 5.4 x 106. The whole native DNA has a molecular weight of 90 x 106 to 95 x 106.
A multivariate analysis of risk factors for hepatocellular carcinogenesis: A prospective observation of 795 patients with viral and alcoholic cirrhosis

To elucidate the appearance rates of hepatocellular carcinoma in cirrhosis and to assess the risk factors for hepatocellular carcinogenesis, we prospectively studied 795 consecutive patients with viral or alcoholic cirrhosis for 2 to 17 yr (median of 5.8 yr). During the observation period, hepatocellular carcinoma developed in 221 patients. Cumulative appearance rates of hepatocellular carcinoma were 19.4%, 44.3% and 58.2% at the end of the fifth, tenth and fifteenth years, respectively. When classified by the type of hepatitis virus infection, the appearance rates of hepatocellular carcinoma in 180 patients with only HBsAg and in 349 patients with only antibodies to hepatitis C virus were 14.2% and 21.5% at the fifth yr, 27.2% and 53.2% at the tenth yr and 27.2% and 75.2% at the fifteenth yr, respectively. Cox proportional hazard model identified that α‐fetoprotein levels (p = 0.00001), age (p = 0.00067), positive hepatitis C virus antibodies (p = 0.00135), total alcohol intake (p = 0.00455) and indocyanine green retention rate (p = 0.04491) were independently associated with the appearance rates of hepatocellular carcinoma. Whereas age and indocyanine green retention rate were independent predictors for the appearance rate of liver tumor in the subgroup of HBsAg‐positive patients, α‐fetoprotein levels, age and past alcohol consumption were independent predictors in the group of hepatitis C virus antibody–positive patients. These epidemiological results suggest that some differences exist in the activity and modes of cancer promotion between hepatitis B virus infection and hepatitis C virus infection. (HEPATOLOGY 1993;18:47–53).
Epidemiology, diagnosis and therapy of Theileria equi infection in Giza, Egypt

Aim: To study the prevalence of Theileria equi among horses in different age groups, both sexes, months and seasons of the year, and regions of Giza governourate. Studying the changes in the blood picture, blood chemistries, liver enzymes associate with T.equi infections in horses. Evaluating IFA and CFT at different dilutions in the serodiagnosis of T.equi infections in horses. Evaluating four anti-Theileria medication regimens (diminazine aceturate, imidiocarb 7%, buparvaquone and a combination of imidiocarb 7% and buparvaquone) in treatment of T.equi infections in horses. Materials and Methods: Total of 149 horses were examined by clinical signs and blood smears. Fortey whole blood samples from T.equi infected horses were examined to measure haemoglobin, total RBCs count and PCV. Fortey serum samples from T.equi infected horses were examined to measure total bilirubin, direct bilirubin, ALT and AST enzymes. Serum samples from T.equi infected (40) and non infected (14) horses were tested by indirect fluorescent antibody test (IFA) and complement fixation test (CFT) at different dilutions. Four groups of T.equiinfected horses (A,B,C,D), each group was represented by 10 horses and was separately treated with diminazine aceturate, imidiocarb 7%, buparvaquone and a combination of imidiocarb 7% and buparvaquone respectively. Results: the prevalence of T.equi was 41.61% in totally examined horses. The prevalence was higher in males than females. The highest prevalence was among age group ranged from 5-10 years as (22.81%). The highest prevalence was in July and was recorded as (25.81%) and the disease was more prevalent in summer than winter. The highest prevalence was recorded in Nazlet-alsamman as (51.61%). Equine theileriosis was clinically characterized by fever, haemoglobinuria, oedema, anaemia and icterus. The best dilution for IFA was 1/160 where sensitivity, specificity and accuracy were the highest for this test as (98%), (92.86%) and (97.44%) respectively. The best dilution for CFT was 1/32 where sensitivity, specificity and accuracy were collectively the best as (90%), (92.86%) and (90.74%) respectively. Conclusion: It was concluded that T.equi is prevalent among horses in Giza governourate, its prevalence is varied according to the age, sex of horses, months, seasons and regions. T.equiinfections in horses are accompanied with changes in blood pictures, blood chemistries and liver enzymes. Both IFA and CFT could be used for the serodiagnosis of T.equi . The used four anti-Theileria medication regimens have the same ability to eradicate T.equi from the infected horses.
Contrasting foraging strategies of gannets Morus bassanus at two North Atlantic colonies: foraging trip duration and foraging area fidelity

Seabirds may be able to increase their foraging efficiency by learning the whereabouts of predictable sources of prey and returning repeatedly to these locations. The occurrence of such foraging area fidelity has been little studied, particularly for pelagic species. We used satellite telemetry to study foraging behaviour and foraging area fidelity of individual chick-rearing gannets in the North Sea (at the Bass Rock, SE Scotland) and in the Celtic Sea (at Great Saltee, SE Ireland), 2 areas that differ in the distribution of prey. Foraging ranges of adults covered a wide area of ocean up to a maximum range of 540 km at the Bass Rock and 240 km at Great Saltee. At the Bass Rock, individual birds foraged in a single direction or at most in 2 distinct directions, with very similar bearings on successive trips in each direction, significant differences in bearings between individuals and significant repeatability in distances travelled. These results strongly suggest that individuals learned and remembered the locations of feeding sites and used that knowledge on subsequent foraging trips. By contrast at Great Saltee, bearings of successive trips by individuals were much less similar, with highly variable distances to destinations, no differences in bearings among individuals and no significant repeatability in distance travelled. These results indicate a much lower degree of foraging area fidelity at Great Saltee, probably due to a more uniform or less predictable distribution of prey in the Celtic Sea than in the North Sea. Despite marked differences between colonies in distances to trip destinations, durations of foraging trips and foraging area fidelity, the behaviour of birds during foraging trips was very similar at the 2 sites: the average speed of travel during foraging trips was almost identical and birds at both colonies spent about half their time at sea in flight.