Miracle-dz/UniFAR-FTUs huggingface dataset:
Tea Polyphenols Decrease Serum Levels of Prostate-Specific Antigen, Hepatocyte Growth Factor, and Vascular Endothelial Growth Factor in Prostate Cancer Patients and Inhibit Production of Hepatocyte Growth Factor and Vascular Endothelial Growth Factor In vitro

The purpose of this study was to determine the effects of short-term supplementation with the active compounds in green tea on serum biomarkers in patients with prostate cancer. Twenty-six men with positive prostate biopsies and scheduled for radical prostatectomy were given daily doses of Polyphenon E, which contained 800 mg of (−)-epigallocatechin-3-gallate (EGCG) and lesser amounts of (−)-epicatechin, (−)-epigallocatechin, and (−)-epicatechin-3-gallate (a total of 1.3 g of tea polyphenols), until time of radical prostatectomy. Serum was collected before initiation of the drug study and on the day of prostatectomy. Serum biomarkers hepatocyte growth factor (HGF), vascular endothelial growth factor (VEGF), insulin-like growth factor (IGF)-I, IGF binding protein-3 (IGFBP-3), and prostate-specific antigen (PSA) were analyzed by ELISA. Toxicity was monitored primarily through liver function enzymes. Changes in serum components were analyzed statistically using the Wilcoxon signed rank test. Cancer-associated fibroblasts were treated with EGCG, and HGF and VEGF protein and mRNA levels were measured. HGF, VEGF, PSA, IGF-I, IGFBP-3, and the IGF-I/IGFBP-3 ratio decreased significantly during the study. All of the liver function tests also decreased, five of them significantly: total protein, albumin, aspartate aminotransferase, alkaline phosphatase, and amylase. The decrease in HGF and VEGF was confirmed in prostate cancer–associated fibroblasts in vitro. Our results show a significant reduction in serum levels of PSA, HGF, and VEGF in men with prostate cancer after brief treatment with EGCG (Polyphenon E), with no elevation of liver enzymes. These findings support a potential role for Polyphenon E in the treatment or prevention of prostate cancer.
Subspace snooping: Filtering snoops with operating system support

Although snoop-based coherence protocols provide fast cache-to-cache transfers with a simple and robust coherence mechanism, scaling the protocols has been difficult due to the overheads of broadcast snooping. In this paper, we propose a coherence filtering technique called subspace snooping, which stores the potential sharers of each memory page in the page table entry. By using the sharer information in the page table entry, coherence transactions for a page generate snoop requests only to the subset of nodes in the system (subspace). However, the coherence subspace of a page may evolve, as the phases of applications may change or the operating system may migrate threads to different nodes. To adjust subspaces dynamically, subspace snooping supports a shrinking mechanism, which removes obsolete nodes from subspaces. Subspace snooping can be integrated to any type of coherence protocols and network topologies. As subspace snooping guarantees that a subspace always contains the precise sharers of a page, it does not restrict the designs of coherence protocols and networks. We evaluate subspace snooping with Token Coherence on un-ordered mesh networks. For scientific and server applications on a 16-core system, subspace snooping reduces 44% of snoops on average.
Visual representation of contour and shape

Contours provide an essential source of information about shape and, along contours, points with the greatest magnitude of curvature tend to be most informative. This concentration of information is closely tied to internal generative models of contours employed by the visual system. In going from open to closed contours, the sign of curvature becomes perceptually significant, with negative-curvature (concave) sections of a contour being more informative, and playing an important role in part segmentation. The visual system represents complex shapes by segmenting them into simpler parts (“simpler” because they have less negative curvature). Points of negative minima of curvature provide an important cue for part segmentation; however being entirely local and contour-based features, they cannot fully predict part segmentation. The visual system employs not only a contour-based representation of shape, but also a region-based one, making explicit properties such as axis curvature, local width of the shape, and locally-parallel and locally-symmetric structure. A region-based representation of shape based on Bayesian estimation of the shape skeleton provides a successful account of part segmentation. Moreover, psychophysical results from a variety of domains provide evidence for the representation of region-based geometry by human vision, based on the shape skeleton. Even at the level of so-called “illusory contours,” nonlocal region-based geometry exerts a strong influence. We conclude that, as far as the visual representation of shape is concerned, contour geometry cannot ultimately be studied in isolation, but must be considered conjointly with region-based geometry.
A Visualization of Research Papers Based on the Topics and Citation Network

Survey of research papers is not an easy task for novice researchers, because they are not always good at finding all appropriate keywords for the survey. Moreover, it is not easy for them to understand positions of papers in their research fields instantly, even when they use famous search engines like Google Scholar, it may often take a long time for them to find scholarly literature. On the other hand, many researchers have presented citation visualization techniques for surveying research papers. However, it is still often difficult to observe the complicated relations across multiple research fields or traverse the entire relations in their interest. In this paper, we proposed a visualization technique for citation networks applying topic-based paper clustering. Our technique categorizes papers applying LDA (Latent Dirichlet Allocation), and constructs clustered networks consisting of the papers.
Template-Based Monocular 3D Shape Recovery Using Laplacian Meshes

We show that by extending the Laplacian formalism, which was first introduced in the Graphics community to regularize 3D meshes, we can turn the monocular 3D shape reconstruction of a deformable surface given correspondences with a reference image into a much better-posed problem. This allows us to quickly and reliably eliminate outliers by simply solving a linear least squares problem. This yields an initial 3D shape estimate, which is not necessarily accurate, but whose 2D projections are. The initial shape is then refined by a constrained optimization problem to output the final surface reconstruction. Our approach allows us to reduce the dimensionality of the surface reconstruction problem without sacrificing accuracy, thus allowing for real-time implementations.
PPP2R2C Loss Promotes Castration-Resistance and Is Associated with Increased Prostate Cancer-Specific Mortality

Metastatic prostate cancers generally rely on androgen receptor (AR) signaling for growth and survival, even following systemic androgen-deprivation therapy (ADT). However, recent evidence suggests that some advanced prostate cancers escape ADT by using signaling programs and growth factors that bypass canonical AR ligand-mediated mechanisms. We used an in vitro high-throughput RNA interference (RNAi) screen to identify pathways in androgen-dependent prostate cancer cell lines whose loss-of-function promotes androgen ligand-independent growth. We identified 40 genes where knockdown promoted proliferation of both LNCaP and VCaP prostate cancer cells in the absence of androgen. Of these, 14 were downregulated in primary and metastatic prostate cancer, including two subunits of the protein phosphatase 2 (PP2A) holoenzyme complex: PPP2R1A, a structural subunit with known tumor-suppressor properties in several tumor types; and PPP2R2C, a PP2A substrate-binding regulatory subunit that has not been previously identified as a tumor suppressor. We show that loss of PPP2R2C promotes androgen ligand depletion-resistant prostate cancer growth without altering AR expression or canonical AR-regulated gene expression. Furthermore, cell proliferation induced by PPP2R2C loss was not inhibited by the AR antagonist MDV3100, indicating that PPP2R2C loss may promote growth independently of known AR-mediated transcriptional programs. Immunohistochemical analysis of PPP2R2C protein levels in primary prostate tumors determined that low PPP2R2C expression significantly associated with an increased likelihood of cancer recurrence and cancer-specific mortality. These findings provide insights into mechanisms by which prostate cancers resist AR-pathway suppression and support inhibiting PPP2R2C complexes or the growth pathway(s) activated by PPP2R2C as a therapeutic strategy. Mol Cancer Res; 11(6); 568–78. ©2013 AACR.
The genome sequence of the colonial chordate, Botryllus schlosseri

Botryllus schlosseri is a colonial urochordate that follows the chordate plan of development following sexual reproduction, but invokes a stem cell-mediated budding program during subsequent rounds of asexual reproduction. As urochordates are considered to be the closest living invertebrate relatives of vertebrates, they are ideal subjects for whole genome sequence analyses. Using a novel method for high-throughput sequencing of eukaryotic genomes, we sequenced and assembled 580 Mbp of the B. schlosseri genome. The genome assembly is comprised of nearly 14,000 intron-containing predicted genes, and 13,500 intron-less predicted genes, 40% of which could be confidently parceled into 13 (of 16 haploid) chromosomes. A comparison of homologous genes between B. schlosseri and other diverse taxonomic groups revealed genomic events underlying the evolution of vertebrates and lymphoid-mediated immunity. The B. schlosseri genome is a community resource for studying alternative modes of reproduction, natural transplantation reactions, and stem cell-mediated regeneration. DOI: http://dx.doi. org/10.7554/eLife.00569. 001
Social Equality the Challenge of Today

Find loads of the social equality the challenge of today book catalogues in this site as the choice of you visiting this page. You can also join to the website book library that will show you numerous books from any types. Literature, science, politics, and many more catalogues are presented to offer you the best book to find. The book that really makes you feels satisfied. Or that's the book that will save you from your job deadline.
Establishing the Upper Bound and Inter-judge Agreement of a Verb Classification Task

Detailed knowledge about verbs is critical in many NLP and IR tasks, yet manual determination of such knowledge for large numbers of verbs is difficult, time-consuming and resource intensive. Recent responses to this problem have attempted to classify verbs automatically, as a first step to automatically build lexical resources. In order to estimate the upper bound of a verb classification task, which appears to be difficult and subject to variability among experts, we investigated the performance of human experts in controlled classification experiments. We report here the results of two experiments—using a forced-choice task and a non-forced choice task—which measure human expert accuracy (compared to a gold standard) in classifying verbs into three pre-defined classes, as well as inter-expert agreement. To preview, we find that the highest expert accuracy is 86.5% agreement with the gold standard, and that inter-expert agreement is not very high (K between .53 and .66). The two experiments show comparable results.
WMIC-based technology server network management software design

Using the WMIC technology of Windows, through whose API to access and manage Windows resources and to obtain useful parameters of network management. You can quickly identify various of server monitoring parameters. At the same time this paper combine with JFREECHART technology for drawing the chart after calculation monitoring data. This paper put forward WMIC-based technology to obtain the data and application which comes from server system monitored. Experimental results show that data collection results consistent of the results collected by leading companies software.
Does an optimal load exist for power training

SUMMARYMECHANICAL POWER CONTRIBUTES TO SUCCESS OF MOVEMENTS RANGING FROM ACTIVITIES OF DAILY LIVING TO SPORT TASKS. RESEARCHERS HAVE ATTEMPTED TO DETERMINE THE LOAD THAT MAXIMIZES MECHANICAL POWER. HOWEVER, DOES TRAINING AT THIS LOAD MAXIMIZE POWER ADAPTATIONS?
Ligand binding on to maize (Zea mays) malate synthase: a structural study.

A kinetic and ligand binding study on maize (Zea mays) malate synthase is presented. It is concluded from kinetic measurements that the enzyme proceeds through a ternary-complex mechanism. Michaelis constants (Km,glyoxylate and Km,acetyl-CoA) were determined to be 104 microM and 20 microM respectively. C.d. measurements in the near u.v. -region indicate that a conformational change is induced in the enzyme by its substrate, glyoxylate. From these studies we are able to calculate the affinity for the substrate (Kd,glyoxylate) as 100 microM. A number of inhibitors apparently trigger the same conformational change in the enzyme, i.e. pyruvate, glycollate and fluoroacetate. Another series of inhibitors bearing more bulky groups and/or an extra carboxylic acid also induce a conformational change, which is, however, clearly different from the former one. Limited proteolysis with trypsin results in cleavage of malate synthase into two fragments of respectively 45 and 19 kDa. Even when no more intact malate synthase chains are present, the final enzymic activity still amounts to 30% of the original activity. If trypsinolysis is performed in the presence of acetyl-CoA, the cleavage reaction is appreciably slowed down. The dissociation constant for acetyl-CoA (Kd,acetyl-CoA) was calculated to be 14.8 microM when the glyoxylate subsite is fully occupied by pyruvate and 950 microM (= 50 x Km) when the second subsite is empty. It is concluded that malate synthase follows a compulsory-order mechanism, glyoxylate being the first-binding substrate. Glyoxylate triggers a conformational change in the enzyme and, as a consequence, the correctly shaped binding site for acetyl-CoA is created. Demetallization of malate synthase has no effect on the c.d. spectrum in the near u.v. -region. Moreover, glyoxylate induces the same spectral change in the absence of Mg2+ as in its presence. Nevertheless, malate synthase shows no activity in the absence of the cation. We conclude that Mg2+ is essential for catalysis, rather than for the structure of the enzyme's catalytic site.
Towards structure and motion estimation from dynamic silhouettes

Addresses the problem of estimating the structure and motion of a smooth curved object from its silhouettes observed over time by a trinocular imagery. We first construct a model for the local structure along the silhouette for each frame in the temporal sequence. The local models are then integrated into a global surface description by estimating the motion between successive frames. The algorithm tracks certain surface and image features (parabolic points and silhouette inflections, frontier points) which are used to bootstrap the motion estimation process. The whole silhouette is then used to refine the initial motion estimate. We have implemented the proposed approach and report preliminary results. <<ETX>>
NAIST hand 2: Human-sized anthropomorphic robot hand with detachable mechanism at the wrist

Humanoid robots and robotic manipulators with good dexterity are promising to enhance the factory productivity in next generation. Dexterity of robotic manipulators can be achieved by equipping an anthropomorphic robot hand with multiple fingers. Additionally, in order to manipulate various tools that humans are using in daily life, the size and the exerting force of the robot hand should be similar to that humans are. In this paper, we proposed a human-sized multi-fingered robot hand with detachable mechanism at the wrist. The robot hand can be split at the wrist into the hand part and the actuator part. The fingers are driven by wires and are controlled by actuators embedded in the arm part. The driving force from the arm part is transmitted to the hand part by gear mechanism at the wrist. The developed robot hand has the size of 200[mm](length) × 78[mm](width) × 24.6[mm](thickness) and can exert 10[N] at the fingertip. The performance of the developed robot hand was shown by a motion control experiment.
Pictorial reasoning with cell assemblies

We introduce a biologically and psychologically plausible neuronal model which could explain how pictorial reasoning is carried out by the human brain. This biologically inspired model throws some light on how some problem-solving abilities might actually be performed by the human brain using neural cell assemblies. It also highlights the benefits of distributed representation. These benefits include the ability to learn from experience, heuristics resulting from picture representation and the ability to deal with noisy information. The description of the reasoning process by formation of associations gives flexibility and power in operation. The proper way to use it, the proper data representations and the proper network architecture are presented in this paper.
Unusual jaw metastasis from squamous cell lung cancer in heavy smoker

Rationale: Jaw metastasis is a very rare condition associated with lung cancer evolution. In this paper we present two cases of patients who underwent different approach. Lung cancer is the leading cause of cancer related death worldwide. Survival depends on the staging and biology of tumor. Smoking may affect the prognosis. Patient concerns: There are herein reported the cases of two patients affected by squamous cell lung cancer with spread to mandibular bone. Diagnoses: In the first case a computed tomography (CT scan) showed a large mass located in upper right lung , then bronchoscopy was performed with biopsies and the histology revealed a squamous cell carcinoma P63+ and TTF-. In the second case upper right lung mass with metastases to mediastinal bilateral lymph nodes was found at CT scan. A bronchial biopsy revealed a squamous cell carcinoma p63 positive and TTF-1 negative. Interventions: The first, a 65-years old man, current heavy smoker who quit and relapsed, at initial stage of IIa (T2aN1M0), after initial neo-adjuvant chemotherapy underwent lung lobectomy and lymph nodes resection. Three months later a metastasis located on mandibular bone was found out. The second case, a 68-years old female heavy smoker, at initial stage IIIb not available for surgery because of involvement of bilateral lymph nodes, underwent first line course chemotherapy with cisplatin and vinorelbine and second line with erlotinib. Outcomes: The first patient underwent hyperthermia and radiotherapy but a sepsis developed and patients died. In the second case, after two months from the beginning of II line the patient developed a jaw metastasis and underwent surgery with resection of hemi-mandible, but soon after she died because of pulmonary embolism. Lessons: These cases highlight the poor prognosis of patients current smokers affected by squamous cell lung cancer. The jaw bone localization is very rare and different approach could be applied.
Ozone interaction with rodent lung. III. Oxidation of reduced glutathione and formation of mixed disulfides between protein and nonprotein sulfhydryls.

Nonprotein sulfhydryls (NPSH), a major source of cellular reducing substances, were examined in lung tissue after short-term exposure of rats to O3. While the NPSH level was unaffected by low-level exposures (e.g., 0.8 ppm for up to 24 h or 1.5 ppm for up to 8 h), it was significantly lowered by higher exposure regimens (e.g., 25 per cent after 2 ppm for 8 h and 49 per cent after 4 ppm for 6 h). After exposure to 4 ppm O3 for 6 h the level of reduced glutathione (GSH), which accounted for approximately 90 per cent of NPSH in the lung, decreased 40 per cent but without a rise in the level of oxidized gluathione (GSSG). Treatment of lung homogenate with borohydride led to recovery of NPSH in exposed lungs to control values, suggesting that NPSH or GSH oxidation during in vivo O3 exposure resulted in formation of mixed disulfides with other sulfhydryl (SH) groups of lung tissue. Extracts of borohydride-treated particulate and supernatant fractions of lung homogenate were analyzed for NPSH by paper chromatography. From this analysis GSH appeared to be the only NPSH bound to lung tissue proteins via mixed disulfide linkage. The formation of mixed disulfides appeared to be a transient phenomenon. Immediately after a 4-h exposure to 3 ppm O3 the level of mixed disulfides was small (15 per cent of the total NPSH) but attained a peak (equivalent to 0.6 mumol NPSH/lung) after a recovery for 24 h. However, the level diminished considerably within 48 h of recovery.
DUTH Does Probabilities of Relevance at the Legal Track

We participated in the Learning Task of the TREC 2010 Legal Track, focusing solely on estimating probabilities of relevance. We submitted three automated runs based on the same tf.idf ranking, produced by the topic narratives and positive-only feedback of the training data in equal contributions. The runs differ in the way the probabilities of relevance are estimated: (1) DUTHsdtA employed the Truncated Normal-Exponential model to turn scores to probabilities. (2) DUTHsdeA did not assume any specific component score distributions but estimated those on the scores of training data via Kernel Density Estimation (KDE) methods. (3) DUTHlrgA used Logistic Regression with the co-efficients estimated on the scores of training data. We found that DUTHsdeA and DUTHlrgA are greatly affected by biases in the training set, since they assume that input score data are uniformly sampled. Also, KDE was found to be very sensitive to its parameters, influencing greatly the probability estimates. In these respects, DUTHsdtA was proven to be the most robust method.
Interleukin-17 gene expression in patients with rheumatoid arthritis

Abstract Interleukin-17 is a proinflammatory cytokine. Recent animal studies have shown that IL-17 plays a role in the initiation and progression of arthritis. However, whether IL-17 has a prominent role in human rheumatoid arthritis (RA) or not remains unclear. Here we investigated the role of IL-17 in patients with RA. cDNA was prepared from knee joint synovial tissues of RA (n = 11) and osteoarthritic (OA, n = 10) patients and PBMC of RA (n = 52) and healthy subjects (n = 34). IL-17 gene expression level was measured by real-time PCR, and was compared with various clinical parameters. IL-17 gene expression in synovial tissues of RA was similar to that in OA. IL-17 gene expression level in PBMC of RA patients was significantly higher than in the control. The response (changes in DAS) to two-week treatment with anti-TNF-α blockers (infliximab or etanercept) did not correlate with changes in IL-17 gene expression levels. The IL-17/TNF-α gene expression ratio at baseline (before treatment) tended to be lower in responders to the treatment. Expression of IL-17 gene in PBMC may be associated with the inflammatory process of RA. IL-17/TNF-α expression ratio is a potentially suitable marker of response to anti-TNF-α therapy.