Miracle-dz/UniFAR-FTUs huggingface dataset:
Broad Antitumor Activity in Breast Cancer Xenografts by Motesanib, a Highly Selective, Oral Inhibitor of Vascular Endothelial Growth Factor, Platelet-Derived Growth Factor, and Kit Receptors

Purpose: Angiogenesis plays a critical role in breast cancer development and progression. Vascular endothelial growth factor (VEGF) is a potent angiogenic factor that regulates endothelial cell proliferation and survival. We investigated the effects of motesanib, a novel, oral inhibitor of VEGF receptors 1, 2, and 3; platelet-derived growth factor receptor; and Kit receptor, on the growth of xenografts representing various human breast cancer subtypes. Experimental Design: Athymic nude mice were implanted with MCF-7 (luminal) or MDA-MB-231 (mesenchymal) tumor fragments or Cal-51 (mixed/progenitor) tumor cells. Once tumors were established, animals were randomized to receive increasing doses of motesanib alone or motesanib plus cytotoxic chemotherapy (docetaxel, doxorubicin, or tamoxifen). Results: Across all three xenograft models, motesanib treatment resulted in significant dose-dependent reductions in tumor growth, compared with vehicle-treated controls, and in marked reductions in viable tumor fraction and blood vessel density. No significant effect on body weight was observed with compound treatment compared with control-treated animals. Motesanib did not affect the proliferation of tumor cells in vitro. There was a significantly greater reduction in xenograft tumor growth when motesanib was combined with docetaxel (MDA-MB-231 tumors) or with the estrogen receptor modulator tamoxifen (MCF-7 tumors), compared with either treatment alone, but not when combined with doxorubicin (Cal-51 tumors). Conclusions: Treatment with motesanib alone or in combination with chemotherapy inhibits tumor growth in vivo in various models of human breast cancer. These data suggest that motesanib may have broad utility in the treatment of human breast cancer.
The effects of cholinomimetic drugs on responses to sympathetic nerve stimulation and noradrenaline in the rabbit ear artery

1 The effects of infusions of the cholinomimetic drugs acetylcholine, methacholine, muscarine, carbachol, arecoline and pilocarpine were examined on vasoconstrictor responses of the perfused rabbit ear artery to sympathetic nerve stimulation and to injections of noradrenaline. 2 The first effect of very low concentrations of acetylcholine or muscarine was a slight enhancement of responses to sympathetic nerve stimulation, but when higher concentrations of acetylcholine, methacholine, muscarine, carbachol and arecoline were infused, these vasoconstrictor responses were decreased. With still higher concentrations the responses tended to increase in size during the infusion. After stopping an infusion, the depressed vasoconstrictor responses rapidly recovered and became enhanced. 3 Infusions of pilocarpine in a wide range of concentrations generally caused enhancement of responses. 4 The depressant effects of cholinomimetic drugs on the responses to sympathetic nerve stimulation were antagonized by atropine. Larger concentrations of the drugs overcame the blockade by atropine. 5 The effects of acetylcholine, methacholine and muscarine on the responses to sympathetic nerve stimulation were more pronounced at low than at high frequencies of stimulation. 6 Vasoconstrictor responses to injected noradrenaline were enhanced by acetylcholine or methacholine, whereas responses to sympathetic nerve stimulation were decreased by the same concentrations of these choline esters. 7 It is suggested that cholinomimetic drugs may act on receptor sites associated with the adrenergic terminal axon and that they may facilitate or impair the release of noradrenaline and impair noradrenaline uptake.
First story detection in TDT is hard

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PROBING DARK ENERGY: METHODS AND STRATEGIES

The presence of dark energy in the Universe is inferred directly from the accelerated expansion of the Universe, and indirectly, from measurements of cosmic microwave background (CMB) anisotropy. Dark energy contributes about 2/3 of the critical density, is very smoothly distributed, and has large negative pressure. Its nature is very much unknown. Most of its discernible consequences follow from its effect on evolution of the expansion rate of the Universe, which in turn affects the growth of density perturbations and the age of the Universe, and can be probed by the classical kinematic cosmological tests. Absent a compelling theoretical model (or even a class of models), we describe the dark energy by an effective equation-of-state w=p_X/\rho_X which is allowed to vary with time. We describe and compare different approaches for determining w(t), including magnitude-redshift (Hubble) diagram, number counts of galaxies and clusters, and CMB anisotropy, focusing particular attention on the use of a sample of several thousand type Ia supernova with redshifts z\lesssim 1.7, as might be gathered by the proposed SNAP satellite. Among other things, we derive optimal strategies for constraining cosmological parameters using type Ia supernovae. While in the near term CMB anisotropy will provide the first measurements of w, supernovae and number counts appear to have the most potential to probe dark energy.
Design of Consumer Review Systems and Product Pricing

Consumer review systems have become an important marketing communication tool through which consumers share and learn product information. This paper analyzes firms' review system design and product pricing strategies. We show that firms' optimal strategies critically depend on contextual characteristics such as product quality, product popularity, and consumer misfit cost. Our results suggest that firms should choose a low rating scale for niche products and a high rating scale for popular products. Different pricing strategies should be deployed during the initial sale period for different product types. For niche products, firms are advised to adopt lower-bound pricing for high-quality products to take advantage of the positive word of mouth. For popular products, firms are advised to adopt upper-bound pricing for high-quality products to enjoy the direct profit from the initial sale period, even after taking into account the negative impact of high price on consumer reviews.
Resveratrol Inhibits Tumor Growth of Human Neuroblastoma and Mediates Apoptosis by Directly Targeting Mitochondria

Purpose: Neuroblastoma is an aggressive childhood disease of the sympathetic nervous system. Treatments are often ineffective and have serious side effects. Because resveratrol, a natural plant product, has been reported to have limited toxicity at chemotherapeutic levels, we investigated its efficacy in the treatment of neuroblastoma as well as its underlying mechanism of action. Experimental Design: Resveratrol was tested in mouse xenograft models of human neuroblastoma and in vitro using human cell lines. Results: Resveratrol inhibited the outgrowth of tumors by as much as 80%. The bioavailability of the drug in serum was in the low micromolar range (2-10 μmol/L) and no accumulation was observed in tumor tissue. When resveratrol levels were increased by peritumor injection, rapid tumor regression occurred. Resveratrol decreased tumor cell viability in vitro by 75% to 90%, resulting from an inhibition of cell proliferation and an induction of apoptosis. Loss of mitochondrial membrane potential was an early response to resveratrol. In addition, resveratrol treatment of isolated mitochondria also led to depolarization, suggesting that the drug may target mitochondria directly. Following depolarization, resveratrol caused the release of cytochrome c and Smac/Diablo from the mitochondria and subsequently the activation of caspase-9 (4- to 8-fold) and caspase-3 (4- to 6-fold). Conclusions: These studies indicate that, despite low bioavailability, resveratrol is effective at inhibiting tumor growth. Elevated levels of resveratrol enhance its antitumor potency leading to tumor regression, associated with widespread tumor cell death, the underlying mechanism of which involves the direct activation of the mitochondrial intrinsic apoptotic pathway.
Lipoprotein subclasses in the Monitored Atherosclerosis Regression Study (MARS). Treatment effects and relation to coronary angiographic progression.

Accumulating evidence suggests that triglyceride-rich lipoproteins contribute to coronary artery disease. Using data from the Monitored Atherosclerosis Regression Study, an angiographic trial of middle-aged men and women randomized to lovastatin or placebo, we investigated relationships between lipoprotein subclasses and progression of coronary artery atherosclerosis. Coronary artery lesion progression was determined by quantitative coronary angiography in low-grade ( < 50% diameter stenosis), high-grade ( > or = 50% diameter stenosis), and all coronary artery lesions in 220 baseline/2-year angiogram pairs. Analytical ultracentrifugation was used to measure lipoprotein masses that were statistically evaluated for treatment group differences and relationships to progression of coronary artery atherosclerosis. All low density lipoprotein (LDL), intermediate density lipoprotein (IDL), and very low density lipoprotein (VLDL) masses were significantly lowered and all high density lipoprotein (HDL) masses were significantly raised with lovastatin therapy. The mass of smallest LDL (Svedberg flotation rate [Sf] 0 to 3), IDL (Sf 12 to 20), all VLDL subclasses (Sf 20 to 60, Sf 60 to 100, and Sf 100 to 400), and peak LDL flotation rate were significantly related to the progression of coronary artery lesions, specifically low-grade lesions. Greater baseline levels of HDL3, were related to a lower likelihood of coronary artery lesion progression. In multivariate analyses, small VLDL (Sf 20 to 60) and HDL3 mass were the most important correlates of coronary artery lesion progression. These results provide further evidence for the importance of triglyceride-rich lipoproteins in the progression of coronary artery disease. In addition, these results present new evidence for the possible protective role of HDL3 in the progression of coronary artery lesions. More specific information on coronary artery lesion progression may be obtained through the study of specific apolipoprotein B-containing lipoproteins.
Correlation Risk and Optimal Portfolio Choice

We develop a new framework for intertemporal portfolio choice when the covariance matrix of returns is stochastic. An important contribution of this framework is that it allows to derive optimal portfolio implications for economies in which the degree of correlation across different industries, countries, and asset classes is time-varying and stochastic. In this setting, markets are incomplete and optimal portfolios include distinct hedging components against both stochastic volatility and correlation risk. The model gives rise to simple optimal portfolio solutions that are available in closed-form. We use these solutions to investigate, in several concrete applications, the properties of the optimal portfolios. We find that the hedging demand is typically four to five times larger than in univariate models and it includes an economically significant correlation hedging component, which tends to increase with the persistence of variance covariance shocks, the strength of leverage effects and the dimension of the investment opportunity set. These findings persist also in the discrete-time portfolio problem with short-selling or VaR constraints.
Detection and analysis of circulating large intergenic non‐coding RNA regulator of reprogramming in plasma for breast cancer

Previous studies have indicated that large intergenic non‐coding RNA regulator of reprogramming (lincRNA‐ROR) plays an important role in regulating tumor carcinogenesis and metastasis; however, whether circulating lincRNA‐ROR could function as a potential biomarker for breast cancer (BC) diagnosis and monitoring is unknown. This study was conducted to investigate circulating lincRNA‐ROR in plasma as a potential biomarker for BC diagnosis and monitoring.
Discovering Internal Representations from Object-CNNs Using Population Encoding

In this paper, we provide a method for understanding the internal representations of Convolutional Neural Networks (CNNs) trained on objects. We hypothesize that the information is distributed across multiple neuronal responses and propose a simple clustering technique to extract this information, which we call \emph{population encoding}. The population encoding technique looks into the entrails of an object-CNN at multiple layers of the network and shows the implicit presence of mid-level object part semantics distributed in the neuronal responses. Our qualitative visualizations show that population encoding can extract mid-level image patches that are visually tighter than the patches that produce high single-filter activations. Moreover, our comprehensive quantitative experiments using the object key point annotations from the PASCAL3D+ dataset corroborate the visualizations by demonstrating the superiority of population encoding over single-filter detectors, in the task of object-part detection. We also perform some preliminary experiments where we uncover the compositional relations between the adjacent layers using the parts detected by population encoding clusters. Finally, based on the insights gained from this work, we point to various new directions which will enable us to have a better understanding of the CNN's internal representations.
Traffic characteristics on 1Gbit/s access aggregation links

Large network operators have thousands or tens of thousands of access aggregation links that they need to manage and dimension properly. Measuring and understanding the traffic characteristics on these type of links are therefore essential. What do the traffic intensity characteristics look like on different timescales from days down to milliseconds? How do the characteristics differ if we compare links with the same capacity but with different type of clients and access technologies? How do the traffic characteristics differ from that on core network links? These are the type of questions we set out to investigate in this paper. We present the results of packet level measurements on three different 1Gbit/s aggregation links in an operational IP network. We see large differences in traffic characteristics between the three links. We observe highly skewed link load probability densities on timescales relevant for buffering (i.e. 10-milliseconds). We demonstrate the existence of large traffic spikes on short timescales (10–100ms) and show their impact on link delay. We also found that these traffic bursts often are caused by only one or a few IP flows.
Immunity to Salmonella typhimurium infection in C3H/HeJ and C3H/HeNCrlBR mice: studies with an aromatic-dependent live S. typhimurium strain as a vaccine

Immunization with avirulent Salmonella typhimurium strain SL3235, a smooth, aroA- derivative, was shown to induce high levels of resistance to challenge with virulent S. typhimurium in innately hypersusceptible C3H/HeJ mice and inherently resistant C3H/HeNCrlBR mice. Strain SL3235 is one of a class of avirulent aroA- derivatives made from various strains and species of Salmonella that are being considered as vaccine candidates for cattle and humans. This paper supports their efficacy and potential utility in this regard. In C3H/HeJ mice, immunity against over 1,000 50% lethal doses of virulent S. typhimurium was evident as early as 3 days after immunization and persisted for at least 7 months. Further, the vaccine was effective over a broad spectrum of doses, ranging from 10(4) to 10(6) organisms. Infection with SL3235 led to marked splenomegaly in both mouse strains. The relationship of splenomegaly to the growth kinetics and colonization by SL3235 in the spleens of infected C3H/HeJ and C3H/HeNCrlBR mice was followed. SL3235 initially multiplied slowly in the spleens of both mouse strains and then was rapidly cleared. Less multiplication was seen in the resistant C3H/HeNCrlBR mice than in C3H/HeJ mice. Maximum splenomegaly occurred after clearance of the organism had begun. Protection against virulent S. typhimurium persisted after virtually all of the SL3235 vaccine strain had been cleared from the spleen. Cross-protection against Listeria monocytogenes was evident, but had a later onset, waned by 21 days, and was not detectable by 1 month after vaccination. Demonstration of this cross-protection is consistent with the interpretation that SL3235 induces cellular immunity. One-week immune spleen cells adoptively transferred anti-S. typhimurium and anti-L. monocytogenes immunity. T cell-enriched fractions were ineffective in adoptive transfer, as were spleen cells taken 2 weeks or later after immunization. Protective capacity was in the adherent cell fraction and seemed to be associated with macrophages. Evidence for induction of a population of sensitized T cells was obtained by using a peritoneal exudate T-lymphocyte proliferation assay on peritoneal T lymphocytes collected 1 to 3 months after SL3235 infection.
When More Pain Is Preferred to Less: Adding a Better End

Subjects were exposed to two aversive experiences: in the short trial, they immersed one hand in water at 14 °C for 60 s; in the long trial, they immersed the other hand at 14 °C for 60 s, then kept the hand in the water 30 s longer as the temperature of the water was gradually raised to 15 °C, still painful but distinctly less so for most subjects. Subjects were later given a choice of which trial to repeat. A significant majority chose to repeat the long trial, apparently preferring more pain over less. The results add to other evidence suggesting that duration plays a small role in retrospective evaluations of aversive experiences; such evaluations are often dominated by the discomfort at the worst and at the final moments of episodes.
Mild cognitive impairment : aging to Alzheimer's disease

1. Conceptual Overview 2. Clinical features 3. Neuropsychiatric symptoms 4. Normative neuropsychology in ageing and Mild Cognitive Impairment 5. Optimizing cognitive test norms for detection 6. Magnetic resonance imaging 7. Functional imaging 8. Spectrum of pathology 9. Neuropathological changes in normal aging, mild cognitive impairment and Alzheimer's disease 10. Biological markers 11. Clinical evaluation 12. Treatment of mild cognitive impairment and prospects for prevention of Alzheimer's disease
Perceived emotional intelligence as a moderator variable between cybervictimization and its emotional impact

The negative effects of traditional bullying and, recently, cyberbullying on victims are well-documented, and abundant empirical evidence for it exists. Cybervictimization affects areas such as academic performance, social integration and self-esteem, and causes emotions ranging from anger and sadness to more complex problems such as depression. However, not all victims are equally affected, and the differences seem to be due to certain situational and personal characteristics. The objective of this study is to analyze the relationship between perceived emotional intelligence (PEI) and the emotional impact of cybervictimization. We hypothesize that EI, which has previously been found to play a role in traditional bullying and cyberbullying, may also affect the emotional impact of cyberbullying. The participants in our study were 636 university students from two universities in the south of Spain. Three self-report questionnaires were used: the “European Cyberbullying Intervention Project Questionnaire,” the “Cyberbullying Emotional Impact Scale”; and “Trait Meta-Mood Scale-24. ” Structural Equation Models were used to test the relationships between the analyzed variables. The results support the idea that PEI, by way of a moderator effect, affects the relationship between cybervictimization and emotional impact. Taken together, cybervictimization and PEI explain much of the variance observed in the emotional impact in general and in the negative dimensions of that impact in particular. Attention and Repair were found to be inversely related to Annoyance and Dejection, and positively related to Invigoration. Clarity has the opposite pattern; a positive relationship with Annoyance and Dejection and an inverse relationship with Invigoration. Various hypothetical explanations of these patterns are discussed.
Data Processing on FPGAs

Computer architectures are quickly changing toward heterogeneous many-core systems. Such a trend opens up interesting opportunities but also raises immense challenges since the efficient use of heterogeneous many-core systems is not a trivial problem. In this paper, we explore how to program data processing operators on top of field-programmable gate arrays (FPGAs). FPGAs are very versatile in terms of how they can be used and can also be added as additional processing units in standard CPU sockets. In the paper, we study how data processing can be accelerated using an FPGA. Our results indicate that efficient usage of FPGAs involves non-trivial aspects such as having the right computation model (an asynchronous sorting network in this case); a careful implementation that balances all the design constraints in an FPGA; and the proper integration strategy to link the FPGA to the rest of the system. Once these issues are properly addressed, our experiments show that FPGAs exhibit performance figures competitive with those of modern general-purpose CPUs while offering significant advantages in terms of power consumption and parallel stream evaluation.