Miracle-dz/UniFAR-FTUs huggingface dataset:
CD8+ T Cells Mediate Recovery andImmunopathology in West Nile VirusEncephalitis

ABSTRACT C57BL/6J mice infected intravenously with the Sarafend strain of West Nile virus (WNV) develop a characteristic central nervous system (CNS) disease, including an acute inflammatory reaction. Dose response studies indicate two distinct kinetics of mortality. At high doses of infection (108 PFU), direct infection of the brain occurred within 24 h, resulting in 100% mortality with a 6-day mean survival time (MST), and there was minimal destruction of neural tissue. A low dose (103 PFU) of infection resulted in 27% mortality (MST, 11 days), and virus could be detected in the CNS 7 days postinfection (p.i.). Virus was present in the hypogastric lymph nodes and spleens at days 4 to 7 p.i. Histology of the brains revealed neuronal degeneration and inflammation within leptomeninges and brain parenchyma. Inflammatory cell infiltration was detectable in brains from day 4 p.i. onward in the high-dose group and from day 7 p.i. in the low-dose group, with the severity of infiltration increasing over time. The cellular infiltrates in brain consisted predominantly of CD8+, but not CD4+, T cells. CD8+ T cells in the brain and the spleen expressed the activation markers CD69 early and expressed CD25 at later time points. CD8+ T-cell-deficient mice infected with 103 PFU of WNV showed increased mortalities but prolonged MST and early infection of the CNS compared to wild-type mice. Using high doses of virus in CD8-deficient mice leads to increased survival. These results provide evidence that CD8+ T cells are involved in both recovery and immunopathology in WNV infection.
A wide-field spectroscopic survey of the cluster of galaxies Cl0024+1654 - II. A high–speed collision?

The mass distribution of the rich cluster of galaxies Cl0024+1654 has frequently been used to constrain the nature of dark matter, yet a model consistent with all the observational data has been dicult to construct. In this paper we analyse the three-dimensional structure of this cluster using new spectroscopic information on 300 galaxies within a projected radius of 3h 1 Mpc. These data reveal an unusual foreground component of galaxies separated from the main cluster by 3000 km s 1 . We use numerical simulations to show that a high speed collision along the line of sight between Cl0024+1654 and a second cluster of slightly smaller mass can reproduce the observed peculiar redshift distribution. Such a collision would dramatically alter the internal mass distribution of the bound remnants, creating constant density cores from initially cuspy dark matter proles and scattering galaxies to large projected radii, consistent with the observed distribution of galaxies in Cl0024+1654. The proposed scenario can reconcile the inferred mass prole from gravitational lensing with predictions from hierarchical structure formation models, while at the same time resolving the mass discrepancy that results from a comparison between lensing, velocity dispersion and X-ray studies.
Reinforcement Learning Neural Turing Machines

The expressive power of a machine learning model is closely related to the number of sequential computational steps it can learn. For example, Deep Neural Networks have been more successful than shallow networks because they can perform a greater number of sequential computational steps (each highly parallel). The Neural Turing Machine (NTM) [8] is a model that can compactly express an even greater number of sequential computational steps, so it is even more powerful than a DNN. Its memory addressing operations are designed to be differentiable; thus the NTM can be trained with backpropagation. While differentiable memory is relatively easy to implement and train, it necessitates accessing the entire memory content at each computational step. This makes it difficult to implement a fast NTM. In this work, we use the Re inforce algorithm to learn where to access the memory, while using backpropagation to learn what to write to the memory. We call this model the RL-NTM. Reinforce allows our model to access a constant number of memory cells at each computational step, so its implementation can be faster. The RL-NTM is the first mo del that can, in principle, learn programs of unbounded running time. We successfully trained the RL-NTM to solve a number of algorithmic tasks that are simpler than the ones solvable by the fully differentiable NTM. As the RL-NTM is a fairly intricate model, we needed a method for verifying the correctness of our implementation. To do so, we developed a simple technique for numerically checking arbitrary implementations of models that use Reinforce, which may be of independent interest.
Infrastructure and Long Run Economic Growth

-----------------------------------------------------------------------------------------------------------------Abstract: We investigate the long run consequences of infrastructure provision on per capita income in a panel of countries over the period 1950-1992. Simple tests are devised for the existence and sign of the long run impact of infrastructure on income allowing for non-stationarity and cointegration in the time series, and heterogeneity in both the short run and long run responses across countries. We find a great deal of heterogeneity in the results across countries. Our results indicate that telephones and paved roads are provided at the growth maximizing level on average, but are under supplied in some countries and over supplied in others. In contrast, we find evidence that electricity generating capacity is under provided on average. -------------------------------------------------------------------------------------------------------------
Linguistic Style Matching in Social Interaction

Three experiments were conducted to determine the psychometric properties of language in dyadic interactions. Using text-analysis, it was possible to assess the degree to which people coordinate their word use in natural conversations. In Experiments 1 (n = 130) and 2 (n = 32), college students interacted in dyadic conversations in laboratory-based private Internet chat rooms. Experiment 3 analyzed the official transcripts of the Watergate tapes involving the dyadic interactions between President Richard Nixon and his aids H. R. Haldeman, John Erlichman, & John Dean. The results of the three studies offer substantial evidence that individuals in dyadic interactions exhibit linguistic style matching (LSM) on both the conversation level as well as on a turn-by-turn level. Furthermore, LSM is unrelated to ratings of the quality of the interaction by both participants and judges. We propose that a coordination-engagement hypothesis is a better description of linguistic behaviors than the coordination-rapport hypothesis that has been proposed in the nonverbal literature.
Successful White Mathematics Teachers of African American Students

SUCCESSFUL WHITE MATHEMATICS TEACHERS OF AFRICAN AMERICAN STUDENTS by Carla Rebecca Bidwell In the United States, a growing disparity exists between the racial composition of teachers and the students they teach. In 2006, 43.1% of K–12 public school students were reported as non-White—in 1990, 32.4% (U.S. Department of Education, 2008). Teachers, however, are predominantly White, 83.3% (U.S. Department of Education, 2007a). Exacerbating this disparity, it has been noted that fewer African Americans are choosing education as a profession (see, e.g., Irvine, 1989; Ladson-Billings, 1994). This growing disparity motivates a crucial question: Can White teachers be successful with “other people’s children” (Delpit, 1995)? This study explores this question by examining the life histories of four White mathematics teachers who have experienced success with other people’s children, specifically, with African American children. The purpose of the study was to better understand what led each of the participants to teach African American children, and what factors may have led to her or his success as a White teacher of African American students. A qualitative, collective case study methodology (Stake, 1995) was employed. Data were collected through semi-structured interviews and analyzed using an eclectic theoretical framework (Stinson, 2009) which included critical theory, critical race theory, and Whiteness studies. Analysis of the data revealed the participants incorporated into their own teaching many of the same characteristics of culturally relevant pedagogy identified by Ladson-Billings (1994). Nevertheless, three strategies were identified as being essential to the teachers’ success with African American students: (a) forming meaningful relationships with students, (b) engaging students in racial conversations, and (c) reflecting both individually and with colleagues. The findings suggest a need for “spaces” in which pre-service teachers, in-service teachers, and teacher educators can discuss and openly debate issues of race, and challenge racial hierarchies found in schools and society at large. The findings also suggest developing a sharp focus on multicultural anti-racist education in teacher preparation programs as well as incorporating it into professional development plans for in-service teachers. Moreover, the findings highlight a need for school districts to provide teachers with professional development in three “How to” areas: (a) build teacher–student relationships, (b) connect to the local community, and (c) develop as reflective practitioners. SUCCESSFUL WHITE MATHEMATICS TEACHERS OF AFRICAN AMERICAN STUDENTS by Carla Rebecca Bidwell
Orchestrating A/P and D/V guidance - A Wnt/Netrin tale

ABSTRACT While ample information was gathered in identifying guidance cues and their downstream mediators, very little is known about how the information from multiple extracellular cues is intracellularly to generate normal patterning. Netrin and Wnt signaling pathways play key roles in normal development as well as in malignancies. In C. elegans, as in vertebrates, dorso-ventral (D/V) graded distributions of UNC-6/Netrin and antero-posterior (A/P) graded distributions of Wnts provide instructive polarity information to guide cells and axons along their respective gradients. In this commentary, I will discuss recent findings demonstrating that these 2 signaling pathways also function redundantly to regulate polarity orthogonal to the axis of their gradation. Thus, Wnt signaling components contribute to D/V polarity, while Netrin signaling components contribute to A/P polarity and their joint action collaboratively governs migratory transitions from one axis to the other. These findings pave the way to unraveling broader roles of Wnt and Netrin signaling pathways, roles that are masked due to their redundant nature, and provide a conceptually novel view of how antero-posterior and dorso-ventral guidance mechanisms are orchestrated to establish polarity in multiple biological processes.
Differential efficacy of group and individual/couple psychotherapy with infertile patients.

BACKGROUND The diagnosis of infertility and concurrent medical treatment may inflict an array of negative emotional symptoms in infertile persons. Evidence for the positive effects of psychotherapy on negative affect and also possible influence on conception rates has been discussed in several studies. METHOD Meta-analyses were conducted in order to evaluate the efficacy of group and individual/couple therapies on (i) the reduction of negative emotional symptoms, and (ii) the possible promotion of pregnancy. RESULTS Group and individual/couple psychotherapy led to a decrease in feelings of anxiety. Upon termination of psychotherapy, a reduction of depressive symptoms in patients was greater after 6 months. Psychotherapy accompanying IVF treatment yielded similar conception success rates to psychological interventions administered to patients not in specific medical care. CONCLUSION Results are suggestive of positive effects of psychotherapy for infertile patients. However, these results must be viewed with caution due to methodological and informational bias within the studies analysed.
Tight Bounds for Graph Homomorphism and Subgraph Isomorphism

We prove that unless Exponential Time Hypothesis (ETH) fails, deciding if there is a homomorphism from graph G to graph H cannot be done in time |V(H)|o(|V(G)|). We also show an exponential-time reduction from G raph H omomorphism to S ubgraph I somorphism . This rules out (subject to ETH) a possibility of |V(H)|o(|V(H)|)-time algorithm deciding if graph G is a subgraph of H. For both problems our lower bounds asymptotically match the running time of brute-force algorithms trying all possible mappings of one graph into another. Thus, our work closes the gap in the known complexity of these fundamental problems.
The Tonal System of Singapore Mandarin

This paper presents an acoustic study of the tonal system of Singapore Mandarin and compares the results with those of Beijing and Taiwan (e.g. Xu 1997, Shih 1988). The results show that Singapore Mandarin differs from the other varieties in a number of ways, particularly in the realisation of Tone 2, which is marked by a low level stretch not found in the other varieties. This system is also influenced by the sociolinguistic variables of gender and language background. Overall, the results support previous studies in showing that phonologically identical tonal systems can exhibit dialectal variation in realisation, while the intra-dialectal variation suggests that tonal realisation can be used for indexical purposes.
The Relationship between L2 Listening Comprehension and Listening Fatigue among Iranian Intermediate EFL Learners

Listening is referred to by many scholars as the most important as well as the most complicated skill in the language, which can cause mental fatigue in the learners. This study was an attempt to investigate the relationship between L2 listening comprehension and listening fatigue among Iranian EFL learners. For this purpose, 86 intermediate and upper-intermediate Iranian EFL learners randomly selected after administering a paper-based TOEFL among an initial sample of 120 BA learners majoring in English language translation, took part in the study. A TOEFL listening test and a researcher-made validated listening fatigue questionnaire were utilized in order to gather the necessary data. Afterwards, during the qualitative phase, oral interviews were employed to obtain 30 % of the participant’s’ attitudes about the relationship between listening comprehension and listening fatigue. Applying a Pearson product-moment correlation revealed that there was a significant relationship between L2 listening fatigue and their listening comprehension. These findings were also supported by a small qualitative phase and learners gave their positive support and attitude about the relationship. These findings have some pedagogical implications for teaching and learning an L2, the most important of which is that in order to enhance EFL learners’ L2 listening comprehension, it is better to reduce their debilitative listening fatigue.
Influence of mesenchymal stem cells on stomach tissue engineering using small intestinal submucosa

Small intestinal submucosa (SIS) is a biodegradable collagen‐rich matrix containing functional growth factors. We have previously reported encouraging outcomes for regeneration of an artificial defect in the rodent stomach using SIS grafts, although the muscular layer was diminutive. In this study, we investigated the feasibility of SIS in conjunction with mesenchymal stem cells (MSCs) for regeneration of the gastrointestinal tract. MSCs from the bone marrow of green fluorescence protein (GFP)‐transgenic Sprague–Dawley (SD) rats were isolated and expanded ex vivo. A 1 cm whole‐layer stomach defect in SD rats was repaired using: a plain SIS graft without MSCs (group 1, control); a plain SIS graft followed by intravenous injection of MSCs (group 2); a SIS graft co‐cultured with MSCs (group 3); or a SIS sandwich containing an MSC sheet (group 4). Pharmacological, electrophysiological and immunohistochemical examination was performed to evaluate the regenerated stomach tissue. Contractility in response to a muscarinic receptor agonist, a nitric oxide precursor or electrical field stimulation was observed in all groups. SIS grafts seeded with MSCs (groups 3 and 4) appeared to support improved regeneration compared with SIS grafts not seeded with MSCs (groups 1 and 2), by enabling the development of well‐structured smooth muscle layers of significantly increased length. GFP expression was detected in the regenerated interstitial tissue, with fibroblast‐like cells in the seeded‐SIS groups. SIS potently induced pharmacological and electrophysiological regeneration of the digestive tract, and seeded MSCs provided an enriched environment that supported tissue regeneration by the SIS graft in the engineered stomach. © 2013 The Authors. Journal of Tissue Engineering and Regenerative Medicine published by John Wiley & Sons, Ltd.
Blood flow through cerebral collateral vessels one month after middle cerebral artery occlusion.

Acute occlusion of a middle cerebral artery (MCA) reduces cerebral blood flow in normotensive Wistar-Kyoto rats (WKY) and in stroke-prone spontaneously hypertensive rats (SHRSP). The goal of this study was to determine whether MCA occlusion produces a sustained reduction in cerebral blood flow or whether collateral vessels restore blood flow to normal levels. We measured blood flow through cerebral collateral vessels to the territory of the occluded MCA and to homologous tissue of the other hemisphere in WKY 1 month after occlusion of the MCA. Cerebral blood flow, measured with microspheres, was restored to normal levels under control conditions in the territory of the occluded MCA. During vasodilatation produced by seizures, blood flow and vascular conductance were increased to similar levels in tissue distal to the site of MCA occlusion and in the homologous tissue of the other hemisphere. MCA occlusion did not produce infarction in any of the WKY. In contrast, 1 month after MCA occlusion in SHRSP, a large atrophic infarct was invariably present in the territory of the occluded MCA. The number of collateral vessels to the territory of the MCA do not differ in SHRSP and WKY. Internal diameter and orientation of the anastomotic vessels differ in SHRSP and WKY. We conclude that, after 1 month of MCA occlusion, changes in the collateral vessels supplying the territory of the occluded MCA in WKY were sufficient to restore blood flow to normal under control conditions and to virtually normal levels during vasodilatation. (ABSTRACT TRUNCATED AT 250 WORDS)
Distinctive climate signals in reanalysis of global ocean heat content

The elusive nature of the post‐2004 upper ocean warming has exposed uncertainties in the ocean's role in the Earth's energy budget and transient climate sensitivity. Here we present the time evolution of the global ocean heat content for 1958 through 2009 from a new observation‐based reanalysis of the ocean. Volcanic eruptions and El Niño events are identified as sharp cooling events punctuating a long‐term ocean warming trend, while heating continues during the recent upper‐ocean‐warming hiatus, but the heat is absorbed in the deeper ocean. In the last decade, about 30% of the warming has occurred below 700 m, contributing significantly to an acceleration of the warming trend. The warming below 700 m remains even when the Argo observing system is withdrawn although the trends are reduced. Sensitivity experiments illustrate that surface wind variability is largely responsible for the changing ocean heat vertical distribution.
Fusing Data Mining, Machine Learning and Traditional Statistics to Detect Biomarkers Associated with Depression

Background Atheoretical large-scale data mining techniques using machine learning algorithms have promise in the analysis of large epidemiological datasets. This study illustrates the use of a hybrid methodology for variable selection that took account of missing data and complex survey design to identify key biomarkers associated with depression from a large epidemiological study. Methods The study used a three-step methodology amalgamating multiple imputation, a machine learning boosted regression algorithm and logistic regression, to identify key biomarkers associated with depression in the National Health and Nutrition Examination Study (2009–2010). Depression was measured using the Patient Health Questionnaire-9 and 67 biomarkers were analysed. Covariates in this study included gender, age, race, smoking, food security, Poverty Income Ratio, Body Mass Index, physical activity, alcohol use, medical conditions and medications. The final imputed weighted multiple logistic regression model included possible confounders and moderators. Results After the creation of 20 imputation data sets from multiple chained regression sequences, machine learning boosted regression initially identified 21 biomarkers associated with depression. Using traditional logistic regression methods, including controlling for possible confounders and moderators, a final set of three biomarkers were selected. The final three biomarkers from the novel hybrid variable selection methodology were red cell distribution width (OR 1.15; 95% CI 1.01, 1.30), serum glucose (OR 1.01; 95% CI 1.00, 1.01) and total bilirubin (OR 0.12; 95% CI 0.05, 0.28). Significant interactions were found between total bilirubin with Mexican American/Hispanic group (p = 0.016), and current smokers (p<0.001). Conclusion The systematic use of a hybrid methodology for variable selection, fusing data mining techniques using a machine learning algorithm with traditional statistical modelling, accounted for missing data and complex survey sampling methodology and was demonstrated to be a useful tool for detecting three biomarkers associated with depression for future hypothesis generation: red cell distribution width, serum glucose and total bilirubin.
Unveiling facebook: a measurement study of social network based applications

Online social networking sites such as Facebook and MySpace have become increasingly popular, with close to 500 million users as of August 2008. The introduction of the Facebook Developer Platform and OpenSocial allows third-party developers to launch their own applications for the existing massive user base. The viral growth of these social applications can potentially influence how content is produced and consumed in the future Internet. To gain a better understanding, we conducted a large-scale measurement study of the usage characteristics of online social network based applications. In particular, we developed and launched three Facebook applications, which have achieved a combined subscription base of over 8 million users. Using the rich dataset gathered through these applications, we analyze the aggregate workload characteristics (including temporal and geographical distributions) as well as the structure of user interactions. We explore the existence of 'communities', with high degree of interaction within a community and limited interaction outside the community. We find that a small fraction of users account for the majority of activity within the context of our Facebook applications and a small number of applications account for the majority of users on Facebook. Furthermore, user response times for Facebook applications are independent of source/destination user locality. We also investigate distinguishing characteristics of social gaming applications. To the best of our knowledge, this is the first study analyzing user activities on online social applications.