Miracle-dz/UniFAR-FTUs huggingface dataset:
Interleukin 6 promotes vasculogenesis of murine brain microvessel endothelial cells.

Interleukin 6 (IL-6) is a cytokine that acts on a wide range of tissues influencing cell growth and differentiation. Here we show that IL-6 plays a role in the early vascular development (vasculogenesis) in the central nervous system (CNS). We report that IL-6 induces the proliferation of brain microvascular endothelial cells in vitro. Furthermore, IL-6 significantly accelerates the formation of tube-like structures by these cells in Matrigel basement matrix. Moreover, IL-6 mRNA is expressed in vivo in two physiological conditions in which vascularization in the CNS is important: (1) during normal brain development, (2) during the healing process of a traumatic brain injury. Expression of IL-6 mRNA coincides with the expression of vascular endothelial growth factor (VEGF) mRNA in the developing brain with decreasing expression following birth. However, IL-6 mRNA can be detected in the healing adult murine brain tissue by in situ hybridization coinciding with the period of intense tissue reorganization. The transient upregulation of IL-6 mRNA during normal brain development and at brain injury site and the effect of IL-6 on in vitro vasculogenesis suggest that IL-6 may play a role in normal physiology of vascularization in the CNS.
Application-Specific Processing on a General-Purpose Core via Transparent Instruction Set Customization

Application-specific instruction set extensions are an effective way of improving the performance of processors. Critical computation subgraphs can be accelerated by collapsing them into new instructions that are executed on specialized function units. Collapsing the subgraphs simultaneously reduces the length of computation as well as the number of intermediate results stored in the register file. The main problem with this approach is that a new processor must be generated for each application domain. While new instructions can be designed automatically, there is a substantial amount of engineering cost incurred to verify and to implement the final custom processor. In this work, we propose a strategy to transparent customization of the core computation capabilities of the processor without changing its instruction set. A congurable array of function units is added to the baseline processor that enables the acceleration of a wide range of data flow subgraphs. To exploit the array, the microarchitecture performs subgraph identification at run-time, replacing them with new microcode instructions to configure and utilize the array. We compare the effectiveness of replacing subgraphs in the fill unit of a trace cache versus using a translation table during decode, and evaluate the tradeoffs between static and dynamic identification of subgraphs for instruction set customization.
Childbearing, Child-Rearing, Cardiovascular Risk Factors, and Progression of Carotid Intima-Media Thickness: The Cardiovascular Risk in Young Finns Study

Background and Purpose— Parity is associated with the risk of clinical cardiovascular events and the severity of preclinical atherosclerosis in older subjects. We sought to determine whether childbearing is associated with concurrent changes in cardiovascular risk factors and the progression of carotid intima-media thickness. Methods— We examined the association between the number of children born during a 6-year period and concurrent changes in cardiovascular risk factors and progression of carotid intima-media thickness in men and women of reproductive age from the Cardiovascular Risk in Young Finns study. Complete data for parity and carotid intima-media thickness were available for 1786 subjects (1005 females, 781 males). Results— For females, childbirth during the 6-year follow-up was associated with concurrent reductions in high-density lipoprotein cholesterol (Ptrend<0.0001), apolipoprotein A-I (Ptrend<0.0001), and apolipoprotein B (Ptrend=0.01); a redistribution of adiposity to abdominal deposits; and increased progression of carotid intima-media thickness (7.5±3.2 &mgr;m/birth [mean±SEM], P=0.02). The association of childbirth with carotid intima-media thickness progression was not greatly modified by adjustment for concurrent changes in cardiovascular risk factors (fully adjusted: P=0.05). This association was significantly stronger in females than males (Pheterogeneity=0.001), who served as a control group exposed to the social and lifestyle influences of child-rearing but not the biological influences of childbearing. Conclusions— The progression of carotid atherosclerosis over a 6-year period is increased in females who gave birth during the same period, independent of traditional risk factors. Mechanisms that underlie this observation possibly include parity-induced changes in nontraditional risk factors or an acute influence of pregnancy itself.
Optimizing the HPCC randomaccess benchmark on blue Gene/L Supercomputer

The performance of supercomputers has traditionally been evaluated using the LINPACK benchmark [3], which stresses only the floating point units without significantly loading the memory or the network subsystems. The HPC Challenge (HPCC) benchmark suite is being proposed as an alternative to evaluate the performance of supercomputers. It consists of seven benchmarks, each designed to measure a specific aspect of the system performance. These benchmarks include (i) the high performance linpack (HPL) (ii) DGEMM, which measures the floating point rate of execution of double precision real matrix-matrix multiplication, (iii) STREAM that measures sustainable memory bandwidth and the corresponding computation rate for four simple vector kernels, namely, copy, scale, add and triad (iv) PTRANS that exercises the network by taking parallel transpose of a large distributed matrix (v) Randomaccess that measures the rate of integer updates to random memory locations (vi) FFT which measures the floating point rate of execution of a double precision complex one-dimensional Discrete Fourier Transform (DFT) and (vii) communication bandwidth and latency which measures latency and bandwidth of a number of simultaneous communication patterns. In this paper we outline the optimization techniques used to obtain the presently best reported performance of the HPCC Randomaccess benchmark on the Blue Gene/L supercomputer.
Tracking of Data Leaving the Cloud

Data leakages out of cloud computing environments are fundamental cloud security concerns for both the end-users and the cloud service providers. A literature survey of the existing technologies revealed the inadequacies of current technologies and the need for a new methodology. This position paper discusses the requirements and proposes a novel auditing methodology that enables tracking of data transferred out of Clouds. Initial results from our prototypes are reported. This research is aligned to our vision that by providing transparency, accountability and audit trails for all data events within and out of the Cloud, trust and confidence can be instilled into the industry as users will get to know what exactly is going on with their data in and out of the Cloud.
Autoregressive Tensor Factorization for Spatio-Temporal Predictions

Analysis of spatio-temporal data is a common research topic that requires the interpolations of unknown locations and the predictions of feature observations by utilizing information about where and when the data were observed. One of the most difficult problems is to make predictions of unknown locations. Tensor factorization methods are popular in this field because of their capability of handling multiple types of spatio-temporal data, dealing with missing values, and providing computationally efficient parameter estimation procedures. However, unlike traditional approaches such as spatial autoregressive models, the existing tensor factorization methods have not tried to learn spatial autocorrelations. These methods employ previously inferred spatial dependencies, often resulting in poor performances on the problem of making interpolations and predictions of unknown locations. In this paper, we propose a new tensor factorization method that estimates low-rank latent factors by simultaneously learning the spatial and temporal autocorrelations. We introduce new spatial autoregressive regularizers based on existing spatial autoregressive models and provide an efficient estimation procedure. With experiments on publicly available traffic transporting data, we demonstrate that our proposed method significantly improves the predictive performances in our problems in comparison to the existing state-of-the-art spatio-temporal analysis methods.
The Application of Program Verification to Hardware Verification

The growing complexity of machine designs and costs of engineering changes are increasing the demand for tools and methods to detect errors earlier in the hardware development cycle. Because of similar concerns in the development of software there has been a great deal of work on methods for proving that a program satisfies a given specification. This paper examines one such program verification technique, based on the notion of symbolic execution , and then explores its application to the problem of establishing the correct behavior of a piece of hardware.
Somatosensory potentials, CSF creatine kinase BB activity, and awakening after cardiac arrest

Objective: To examine the utility of somatosensory evoked potential (SEP) peaks and CSF creatine kinase BB isoenzyme activity (CKBB) in predicting nonawakening from coma due to cardiac arrest. Background: Accurate predictors of neurologic outcome in patients comatose after cardiac arrest are needed to improve medical decision making. Methods: A total of 72 comatose patients had bilateral median SEPs, and of these, 52 had CSF and CKBB. Awakening was defined as following commands or having comprehensible speech. Both short (N1) and long (N3) latency SEP peaks were analyzed. Nonparametric analyses were used. Results: For patients who had both tests, CKBB ≥ 205 U/L predicted nonawakening with a sensitivity of 49% and a specificity of 100%. Bilateral absence of the N1 peak predicted nonawakening with a sensitivity of 53% and a specificity of 100%. Using CKBB ≥ 205 U/L, bilaterally absent SEP N1 peaks, or both predicted nonawakening with a sensitivity of 69% and a specificity of 100%. Using CKBB ≥ 205 U/L, bilaterally absent N1 peaks, bilateral N3 ≥ 176 msec or absent, or some combination predicted nonawakening with a sensitivity of 78% and a specificity of 100%. Conclusion: The combination of an absent N1 peak and elevated CKBB performs better than either alone in predicting nonawakening after cardiac arrest. Prolonged or absent N3 latency may increase sensitivity. These results should be interpreted with caution given the small number of patients and the possibility of a self-fulfilling prophecy.
CONGRUENCE OF HERMITIAN MATRICES BY HERMITIAN

Two nonsingular Hermitian matrices A, B ∈ Mn(C) are said to be Hermitiancongruent if there exists a Hermitian matrix C ∈ Mn(C) such that B = CAC. In this paper, we give necessary and sufficient conditions for two simultaneously unitarily diagonalizable Hermitian matrices A and B to be Hermitian-congruent. Moreover, when A and B are Hermitian-congruent, we describe the possible inertias of the Hermitian matrices C that carry the congruence. We also give necessary and sufficient conditions for any 2-by-2 Hermitian matrices to be Hermitian-congruent. In both of the studied cases, we show that if A and B are real and Hermitian-congruent, then they are congruent by a real symmetric matrix. Finally we prove that if A and B are 2-by-2 real symmetric matrices having the same sign pattern, then there is always a real symmetric matrix C satisfying B = CAC. Moreover, if both matrices are positive, then C can be picked with arbitrary inertia.
The Open University ’ s repository of research publications and other research outputs Update of an early warning fault detection method using artificial intelligence techniques

This presentation describes a research investigation to access the feasibility of using an Artificial Intelligence (AI) method to predict and detect faults at an early stage in power systems. An AI based detector has been developed to monitor and predict faults at an early stage on particular sections of power systems. The detector for this early warning fault detection device only requires external measurements taken from the input and output nodes of the power system. The AI detection system is capable of rapidly predicting a malfunction within the system. Artificial Neural Networks (ANNs) are being used as the core of the fault detector. In an earlier paper [11], a computer simulated medium length transmission line has been tested by the detector and the results clearly demonstrate the capability of the detector. Today’s presentation considers a case study illustrating the suitability of this AI Technique when applied to a distribution transformer. Furthermore, an evolutionary optimisation strategy to train ANNs is also briefly discussed in this presentation, together with a ‘crystal ball’ view of future developments in the operation and monitoring of transmission systems in the next millennium.
Efficient Diversification of Web Search Results

In this paper we analyze the efficiency of various search results diversification methods. While efficacy of diversification approaches has been deeply investigated in the past, response time and scalability issues have been rarely addressed. A unified framework for studying performance and feasibility of result diversification solutions is thus proposed. First we define a new methodology for detecting when, and how, query results need to be diversified. To this purpose, we rely on the concept of "query refinement" to estimate the probability of a query to be ambiguous. Then, relying on this novel ambiguity detection method, we deploy and compare on a standard test set, three different diversification methods: IASelect, xQuAD, and OptSelect. While the first two are recent state-of-the-art proposals, the latter is an original algorithm introduced in this paper. We evaluate both the efficiency and the effectiveness of our approach against its competitors by using the standard TREC Web diversification track testbed. Results shown that OptSelect is able to run two orders of magnitude faster than the two other state-of-the-art approaches and to obtain comparable figures in diversification effectiveness.
Many Languages, One Parser

We train one multilingual model for dependency parsing and use it to parse sentences in several languages. The parsing model uses (i) multilingual word clusters and embeddings; (ii) token-level language information; and (iii) language-specific features (fine-grained POS tags). This input representation enables the parser not only to parse effectively in multiple languages, but also to generalize across languages based on linguistic universals and typological similarities, making it more effective to learn from limited annotations. Our parser’s performance compares favorably to strong baselines in a range of data scenarios, including when the target language has a large treebank, a small treebank, or no treebank for training.
Tumor and Stem Cell Biology Notch 3 Functions as a Tumor Suppressor by Controlling Cellular Senescence

Notch signaling regulates a broad spectrumof cell fate decisions and differentiation. Both oncogenic and tumor suppressor functions have been shown for Notch signaling. However, little is known about the underlying mechanisms of its tumor suppressor function. Here, we report that expression of Notch3, a member of Notch family transmembrane receptors, was elevated in human cells during senescence activated by various senescence-inducing stimuli. This upregulation ofNotch3was required for the induction of p21 expression in senescent cells. Downregulation of Notch3 led to a delayed onset of senescence and extended replicative lifespan, whereas adventitious expression of Notch3 was sufficient to activate senescence and p21 expression. The ability of Notch3 to induce senescence and p21 expression was dependent on the canonical Notch singling. Deletion of p21 in cells significantly attenuated Notch3-induced senescence. Furthermore, a significant decrease in Notch3 expression was observed in human tumor cell lines as well as primary human breast cancer and melanoma samples compared with normal tissues. Restoration of Notch3 expression in human tumor cells resulted in inhibition of cell proliferation and activation of senescence. Collectively, our results reveal a novel function of Notch3 in senescence regulation and tumor suppression. Cancer Res; 73(11); 1–9. 2013 AACR.
Temporal Bone Necrosis: Diagnosis, Classification, and Management

OBJECTIVE: The goal of this study was to analyze temporal bone necrosis and classify its diagnosis and treatment according to extent of necrosis and cause. METHODS AND MATERIAL: Twenty-six cases of temporal bone necrosis were retrospectively reviewed between 1988 and 1997 at the University of British Columbia. RESULTS: Patients were classified on the basis of disease extent restricted to the tympanic bone or extension beyond the tympanic bone, as well as on the basis of the cause of disease; treatment based on classification. Patients with localized disease of the tympanic bone had minimal symptoms. Those with radiation-induced localized necrosis were less likely to respond to conservative medical management. Patients with diffuse disease were more likely to require surgical intervention. CONCLUSIONS: Temporal bone necrosis comprises a spectrum of disease from idiopathic tympanic bone necrosis, which rarely requires surgery, to the more severe forms of radiation-induced diffuse temporal bone necrosis that may cause life-threatening complications requiring surgical intervention.
High-dose sitagliptin for systemic inhibition of dipeptidylpeptidase-4 to enhance engraftment of single cord umbilical cord blood transplantation

Delayed engraftment remains a limitation of umbilical cord blood (UCB) transplantation. We previously showed that inhibition of dipeptidylpeptidase (DPP)-4 using sitagliptin 600 mg daily was safe with encouraging results on engraftment, but inhibition was not sustained. We evaluated the efficacy and feasibility of higher doses of sitagliptin to enhance engraftment of UCB in patients with hematological cancers. Fifteen patients, median age 41 (range, 18-59) years, received single UCB grafts matched at 4 (n=11) or 5 (n=4) of 6 HLA loci with median nucleated cell dose of 3.5 (range, 2.57-4.57) x107/kg. Sitagliptin 600 mg every 12 hours was administered days -1 to +2. All patients engrafted by day 30, with 12 (80%) engrafting by day 21. The median time to neutrophil engraftment was 19 (range, 12-30) days. Plasma DPP-4 activity was better inhibited with a mean residual trough DPP-4 activity of 70%±19%. Compared to patients previously treated with 600 mg/day, sitagliptin 600 mg every 12 hours appeared to improve engraftment, supporting the hypothesis that more sustained DPP-4 inhibition is required. In-vivo inhibition of DPP-4 using high-dose sitagliptin compares favorably with other approaches to enhance UCB engraftment with greater simplicity, and may show synergy in combination with other strategies.
Room-temperature single-photon sources based on nanocrystal fluorescence in photonic/plasmonic nanostructures

Results are presented here towards robust room-temperature SPSs based on fluorescence in nanocrystals: colloidal quantum dots, color-center diamonds and doped with trivalent rare-earth ions (TR3+). We used cholesteric chiral photonic bandgap and Bragg-reflector microcavities for single emitter fluorescence enhancement. We also developed plasmonic bowtie nanoantennas and 2D-Si-photonic bandgap microcavities. The paper also provides short outlines of other technologies for room-temperature single-photon sources.
Modulating Biological Events by Biophysics : An Innovative Molecular Methodology Using Ion Cyclotron Resonance — A Pilot Study

The QUEC PHISIS technology, based on the theory of coherence domains of water, is the most advanced application of quantum electrodynamics coherence suitable for transferring highly targeted and personalized electromagnetic signals to the living cells. Several experimental studies in aged rats confirm its beneficial action on vital cellular parameters while also optimizing the bioavailability and absorption of fundamental elements in cellular metabolism. Clinical observations have followed and have strengthened its applicability in healthy volunteers and in patients with complex diseases such as cardiovascular, neuromuscular, and metabolic disorders. Our pilot study on severely compromised, frail subjects corroborates its relevance. The delivery of correct frequencies has the potential to become a safe, very affordable, and effective therapeutic modality that is amenable to being integrated with pharmacological drugs, thus representing a substantial innovation in medical practice.
Chronic Rapamycin Treatment Causes Glucose Intolerance and Hyperlipidemia by Upregulating Hepatic Gluconeogenesis and Impairing Lipid Deposition in Adipose Tissue

OBJECTIVE The mammalian target of rapamycin (mTOR)/p70 S6 kinase 1 (S6K1) pathway is a critical signaling component in the development of obesity-linked insulin resistance and operates a nutrient-sensing negative feedback loop toward the phosphatidylinositol 3-kinase (PI 3-kinase)/Akt pathway. Whereas acute treatment of insulin target cells with the mTOR complex 1 (mTORC1) inhibitor rapamycin prevents nutrient-induced insulin resistance, the chronic effect of rapamycin on insulin sensitivity and glucose metabolism in vivo remains elusive. RESEARCH DESIGN AND METHODS To assess the metabolic effects of chronic inhibition of the mTORC1/S6K1 pathway, rats were treated with rapamycin (2 mg/kg/day) or vehicle for 15 days before metabolic phenotyping. RESULTS Chronic rapamycin treatment reduced adiposity and fat cell number, which was associated with a coordinated downregulation of genes involved in both lipid uptake and output. Rapamycin treatment also promoted insulin resistance, severe glucose intolerance, and increased gluconeogenesis. The latter was associated with elevated expression of hepatic gluconeogenic master genes, PEPCK and G6Pase, and increased expression of the transcriptional coactivator peroxisome proliferator–activated receptor-γ coactivator-1α (PGC-1α) as well as enhanced nuclear recruitment of FoxO1, CRTC2, and CREB. These changes were observed despite normal activation of the insulin receptor substrate/PI 3-kinase/Akt axis in liver of rapamycin-treated rats, as expected from the blockade of the mTORC1/S6K1 negative feedback loop. CONCLUSIONS These findings unravel a novel mechanism by which mTORC1/S6K1 controls gluconeogenesis through modulation of several key transcriptional factors. The robust induction of the gluconeogenic program in liver of rapamycin-treated rats underlies the development of severe glucose intolerance even in the face of preserved hepatic insulin signaling to Akt and despite a modest reduction in adiposity.
Effect of grain size on the R-curve behavior of lead zirconate titanate (PZT)

R-curves were measured for ferroelectric ceramic lead zirconate titanate (PZT) with two different grain sizes using the surface crack in flexure technique. Larger grain size resulted in a higher plateau value of the R-curve. This was consistent with the larger amount of ferroelastic switching observed from the stress/strain curve.