Miracle-dz/UniFAR-FTUs huggingface dataset:
Microenvironment and Immunology p 53 and NFk B Coregulate Proin fl ammatory Gene Responses in Human Macrophages

Macrophages are sentinel immune cells that survey the tissue microenvironment, releasing cytokines in response to both exogenous insults and endogenous events such as tumorigenesis. Macrophages mediate tumor surveillance and therapy-induced tumor regression; however, tumor-associated macrophages (TAM) and their products may also promote tumor progression. Whereas NF-kB is prominent in macrophage-initiated inflammatory responses, little is known about the role of p53 in macrophage responses to environmental challenge, including chemotherapy or inTAMs.Here, we report thatNF-kBandp53, which generally have opposing effects in cancer cells, coregulate induction of proinflammatory genes in primary human monocytes and macrophages. Using Nutlin-3 as a tool, we demonstrate that p53 and NF-kB rapidly and highly induce interleukin (IL)-6 by binding to its promoter. Transcriptome analysis revealed global p53/NF-kB co-regulation of immune response genes, including several chemokines, which effectively inducedhumanneutrophilmigration. In addition, we show that p53, activated by tumor cell paracrine factors, induces high basal levels of macrophage IL-6 in a TAMmodel system [tumor-conditioned macrophages (TCM)]. Compared with normal macrophages, TCMs exhibited higher p53 levels, enhanced p53 binding to the IL-6 promoter, and reduced IL-6 levels upon p53 inhibition. Taken together, we describe a mechanism by which human macrophages integrate signals through p53 and NF-kB to drive proinflammatory cytokine induction. Our results implicate a novel role formacrophage p53 in conditioning the tumor microenvironment and suggest a potential mechanism by which p53-activating chemotherapeutics, acting upon p53-sufficient macrophages and precursor monocytes, may indirectly impact tumors lacking functional p53. Cancer Res; 74(8); 2182–92. 2014 AACR.
Self-Motivator Factors of Senior Knowledge Workers

With the greatest turning period coming-the dominance of the community changing from the monetary and physical capital to the knowledge resource and human capital, knowledge workers has become the halo group of the society, who are considered as the most valuable asset of the organizations in the 21st century. The senior knowledge workers are workers who engage in productions, creations, expansions and applications of the knowledge with scientific research skills and managerial capabilities. They work extensively in scientific research institutes, higher education organizations like universities and colleges, as well as technological enterprises. Since the nature of the work, the senior knowledge workers are highly autonomous, strong self-worth, thirst for achievements and capabilities improvements. The aim of the research is to find a new motivational way to improve the work effectiveness of the senior knowledge workers. According to the analysis on the academic background and research fruits of 116 Chinese Chang Jiang Scholars awarded by the Chinese Ministry of Education, we anatomize the individual characters of the senior knowledge workers and find that five factors, namely achievements and challenges, individual growth, autonomy, recognition and oriented-goals, influence the motivational effect of the senior knowledge workers, which are called self-motivator factors. The true meaning of the motivation is not the external excitation, but the self-excitation. We build an individual incentive model based on self-motivator factors, which is a combination of the core circle of senior knowledge workers, the chain of self-motivator factors and the ring of individual characters.
Management of "technology push" development projects

Discussion of market pull versus technology push approaches in the field of busi-ness innovation research has followed a certain trend. The empirical research under-taken until now has been concerned in particular with the question of how each of these approaches differently influence the subsequent success of the innovation. We do not wish to continue this discussion in our paper, rather we assume that both ap-proaches are justified depending upon the importance of the relevant innovation source, the desired degree of innovation and the respective characteristics of the industry in question. We concern ourselves with the characteristics that result in the technology push for the management of innovation projects and what implications can be derived from practical project management organization. In doing so, we concentrate upon all market-related activities, in particular the identification and verification of application areas for new technology. After contrasting the various characteristics of the technology push and market pull approaches, the market-related characteristics of technology push projects are outlined. In this context, current instruments and methods of qualitative market re-search are introduced and their usefulness discussed. In addition, organizational-structural aspects as well as strategic and operative aspects of technology push pro-ject management will be highlighted.
LDL subclass phenotypes and triglyceride metabolism in non-insulin-dependent diabetes.

Plasma low density lipoprotein (LDL) comprises multiple discrete subclasses differing in size, density, and chemical composition. A common, heritable phenotype characterized by the predominance of small, dense LDL particles (LDL subclass phenotype B) is associated with relatively increased concentrations of plasma triglycerides, reduced levels of high density lipoprotein, and increased risk of coronary artery disease in comparison with subjects with larger LDL (LDL subclass phenotype A). Population studies have indicated that approximately 20-30% of adult men have phenotype B, and another 15-20% have LDL of intermediate size. The lipid changes in phenotype B are similar to those that have been observed in patients with non-insulin-dependent diabetes mellitus (NIDDM). In the present study, we have assessed LDL subclass phenotypes in normolipidemic men with NIDDM and in age-matched control subjects who had similar lipid levels. There was a greater than twofold increase in the percentage of individuals with the LDL B phenotype in the NIDDM subjects. The LDL B phenotype was associated with higher plasma triglyceride levels and a trend toward lower high density lipoprotein cholesterol levels compared with the LDL A phenotype in the NIDDM subjects, as has been previously observed in control groups. Indices of diabetic control, such as fasting and hemoglobin A1 levels, were similar regardless of LDL phenotype pattern, suggesting that glycemic control was not likely to account for the increase in the LDL B phenotype. In both control and NIDDM subjects, the clearance of triglyceride-rich lipoproteins was slowed in the subjects with the LDL phenotype B compared with those with the A phenotype. (ABSTRACT TRUNCATED AT 250 WORDS)
Vibrio fischeri Outer Membrane Protein OmpU Plays a Role in Normal Symbiotic Colonization

ABSTRACT The nascent light-emitting organ of newly hatched juveniles of the Hawaiian sepiolid squid Euprymna scolopes is specifically colonized by cells ofVibrio fischeri that are obtained from the ambient seawater. The mechanisms that promote this specific, cooperative colonization are likely to require a number of bacterial and host-derived factors and activities, only some of which have been described to date. A characteristic of many host-pathogen associations is the presence of bacterial mechanisms that allow attachment to specific tissues. These mechanisms have been well characterized and often involve bacterial fimbriae or outer membrane proteins (OMPs) that act as adhesins, the expression of which has been linked to virulence regulators such as ToxR in Vibrio cholerae. Analogous or even homologous mechanisms are probably operative in the initiation and persistence of cooperative bacterial associations, although considerably less is known about them. We report the presence inV. fischeri of ompU, a gene encoding a 32.5-kDa protein homolog of two other OMPs, OmpU of V. cholerae (50.8% amino acid sequence identity) and OmpL ofPhotobacterium profundum (45.5% identity). A null mutation introduced into the V. fischeri ompU resulted in the loss of an OMP with an estimated molecular mass of about 34 kDa; genetic complementation of the mutant strain with a DNA fragment containing only the ompU gene restored the production of this protein. The expression of the V. fischeri OmpU was not significantly affected by either (i) iron or phosphate limitation or (ii) a mutation that renders V. fischeri defective in the synthesis of a homolog of the OMP-regulatory protein ToxR. TheompU mutant grew normally in complex nutrient media but was more susceptible to growth inhibition in the presence of either anionic detergents or the antimicrobial peptide protamine sulfate. Interestingly, colonization experiments showed that theompU null mutant initiated a symbiotic association with juvenile light organ tissue with only about 60% of the effectiveness of the parent strain. When colonization did occur, it proceeded more slowly and resulted in an approximately fourfold-smaller bacterial population. Surprisingly, there was no evidence that in a mixed infection with its parent, the ompU-defective strain had a competitive disadvantage, suggesting that the presence of the parent strain provided a shared compensatory activity. Thus, the OmpU protein appears to play a role in the normal process by which V. fischeri initiates its colonization of the nascent light organ of juvenile squids.
More than just water channels: unexpected cellular roles of aquaporins

Aquaporins (AQPs) are membrane proteins that transport water and, in some cases, also small solutes such as glycerol. AQPs are expressed in many fluid-transporting tissues, such as kidney tubules and glandular epithelia, as well as in non-fluid-transporting tissues, such as epidermis, adipose tissue and astroglia. Their classical role in facilitating trans-epithelial fluid transport is well understood, as in the urinary concentrating mechanism and gland fluid secretion. AQPs are also involved in swelling of tissues under stress, as in the injured cornea and the brain in stroke, tumor and infection. Recent analysis of AQP-knockout mice has revealed unexpected cellular roles of AQPs. AQPs facilitate cell migration, as manifested by reduced tumor angiogenesis in AQP1-knockout mice, by a mechanism that might involve facilitated water transport in lamellipodia of migrating cells. AQPs that transport both glycerol and water regulate glycerol content in epidermis and fat, and consequently skin hydration/biosynthesis and fat metabolism. AQPs might also be involved in neural signal transduction, cell volume regulation and organellar physiology. The many roles of AQPs could be exploited for clinical benefit; for example, treatments that modulate AQP expression/function could be used as diuretics, and in the treatment of brain swelling, glaucoma, epilepsy, obesity and cancer.
Adaptive duty-cycling algorithms for efficient energy harvesting in wireless sensor networks

Wireless sensor nodes which harvest energy from the environment have become an alternative to battery powered nodes. Requirements for efficient use of the extracted energy led to development of algorithms that manage the node functions depending on the amount of collected energy. This article introduces a novel solution of adaptively setting the duty-cycle of a wireless sensor node in order to maximize its monitoring lifetime. The developed algorithms are particularly suited to energy harvesting wireless sensor networks situated in locations where energy is scarce or where harvested power exhibits ample diurnal or seasonal variation. The results described in this article shows that the proposed wireless sensor network architecture can represent a viable solution for monitoring indoor environments characterized by low illumination. The setup was tested and validated under various lighting conditions, using the adaptive techniques described in the paper.
Apoptosis and growth inhibition in malignant lymphocytes after treatment with arsenic trioxide at clinically achievable concentrations.

BACKGROUND Arsenic trioxide (As2O3) can induce clinical remission in patients with acute promyelocytic leukemia via induction of differentiation and programmed cell death (apoptosis). We investigated the effects of As2O3 on a panel of malignant lymphocytes to determine whether growth-inhibitory and apoptotic effects of As2O3 can be observed in these cells at clinically achievable concentrations. METHODS Eight malignant lymphocytic cell lines and primary cultures of lymphocytic leukemia and lymphoma cells were treated with As2O3, with or without dithiothreitol (DTT) or buthionine sulfoximine (BSO) (an inhibitor of glutathione synthesis). Apoptosis was assessed by cell morphology, flow cytometry, annexin V protein level, and terminal deoxynucleotidyl transferase labeling of DNA fragments. Cellular proliferation was determined by 5-bromo-2'-deoxyuridine incorporation into DNA and flow cytometry and by use of a mitotic arrest assay. Mitochondrial transmembrane potential (delta psi(m)) was measured by means of rhodamine 123 staining and flow cytometry. Protein expression was assessed by western blot analysis or immunofluorescence. RESULTS Therapeutic concentrations of As2O3 (1-2 microM) had dual effects on malignant lymphocytes: 1) inhibition of growth through adenosine triphosphate (ATP) depletion and prolongation of cell cycle time and 2) induction of apoptosis. As2O3-induced apoptosis was preceded by delta psi(m) collapse. DTT antagonized and BSO enhanced As2O3-induced ATP depletion, delta psi(m) collapse, and apoptosis. Caspase-3 activation, usually resulting from delta psi(m) collapse, was not always associated with As2O3-induced apoptosis. As2O3 induced PML (promyelocytic leukemia) protein degradation but did not modulate expression of cell cycle-related proteins, including c-myc, retinoblastoma protein, cyclin-dependent kinase 4, cyclin D1, and p53, or expression of differentiation-related antigens. CONCLUSIONS Substantial growth inhibition and apoptosis without evidence of differentiation were induced in most malignant lymphocytic cells treated with 1-2 microM As2O3. As2O3 may prove useful in the treatment of malignant lymphoproliferative disorders.
Feature Selection for Ordinal Text Classification

Ordinal classification (also known as ordinal regression) is a supervised learning task that consists of estimating the rating of a data item on a fixed, discrete rating scale. This problem is receiving increased attention from the sentiment analysis and opinion mining community due to the importance of automatically rating large amounts of product review data in digital form. As in other supervised learning tasks such as binary or multiclass classification, feature selection is often needed in order to improve efficiency and avoid overfitting. However, although feature selection has been extensively studied for other classification tasks, it has not for ordinal classification. In this letter, we present six novel feature selection methods that we have specifically devised for ordinal classification and test them on two data sets of product review data against three methods previously known from the literature, using two learning algorithms from the support vector regression tradition. The experimental results show that all six proposed metrics largely outperform all three baseline techniques (and are more stable than these others by an order of magnitude), on both data sets and for both learning algorithms.
Psychophysiological Characteristics of the Temperament of Foreign Students

Personality it’s a special ability, which individual gain in the process of continuous relations. From one side – human find consistency at their actions, emotions, thoughts. That is, they have certain personality traits. On the other side – there are no people that are completely alike. That’s why, question of differences between individuals until this day stays actual. The goal of the research. The aim of this research was sent to the study of the possibilities to use methods of Eysenck for the diagnostics of personality traits and types of foreign students of second course of the Ivano– Frankivsk National Medical University. Methods of research. The study involved 94 unofficial students of the 2 course, boys and girls ages from 19 to 29. Psychodiagnostic survey was held for the use of the (Eisenck Personality Questionnaire (EPQ). The test was carried out on computers for programming software, that was roughened for use by Globovim O. M. (Oleksii Hliebov, American University of Integrative Sciences, School of Medicine, St. Maarten). The results were summarized in the SPSS (Statistical Package of the Social Science) program complex. Research results. According to the study, foreign students of 2nd year with pronounced traits of extraversion (54 %) and emotional stability, better taking time to adapt to new environmental conditions and the learning process. Conclusions. Determining the type of personality makes it possible to better understand the individual characteristics of the student, his behavior, activities, makes better use of its positive features.
Agents, Bayes, and Climatic Risks - a modular modelling approach

Abstract. When insurance firms, energy companies, governments, NGOs, and other agents strive to manage climatic risks, it is by no way clear what the aggregate outcome should and will be. As a framework for investigating this subject, we present the LAGOM model family. It is based on modules depicting learning social agents. For managing climate risks, our agents use second order probabilities and update them by means of a Bayesian mechanism while differing in priors and risk aversion. The interactions between these modules and the aggregate outcomes of their actions are implemented using further modules. The software system is implemented as a series of parallel processes using the CIAMn approach. It is possible to couple modules irrespective of the language they are written in, the operating system under which they are run, and the physical location of the machine.
Scalar Non-linear Conservation Lawswith Integrable Boundary

We consider the initial value problem with boundary control for a scalar non-linear conservation law u t + f(u)] x = 0; u(0; x) = 0; u(; 0) = ~ u 2 U; () on the domain = f(t; x) 2 R 2 : t 0; x 0g. Here u = u(t; x) is the state variable, U is a set of bounded boundary data regarded as controls and f is assumed to be strictly convex. We give a characterization of the set of attainable prooles at a xed time T > 0 and at a xed point x > 0 A(T; U) = fu(T;) : u is a solution of ()g A(x; U) = fu(; x) : u is a solution of ()g; U = L 1 (R +): Moreover we prove that A (T; U) and A(x; U) are compact subsets of L 1 and L 1 loc respectively, whenever U is a set of controls which pointwise satisfy closed convex constraints, together with some additional integral inequalities.
The research on ambient noise of Arabian Sea

The Arabian Sea is an important shipping channel. The frequency and spatial variation characteristics of medium and low frequency ambient noise in this area are studied by analyzing underwater acoustic buoy data. In this area, the shipping noise is the major noise source. The mean noise spectrum of each month is asymmetric "W" type among 10 ∼ 1000 Hz. Noise level decreases gradually from 10 Hz to 15.9 Hz, and increases from 20 Hz to 40 Hz. The spectral peak occurs among 40 ∼ 63.5 Hz. Noise level decreases from 63.5 Hz to 127 Hz, and varies little between 127 Hz and 1000 Hz. In the depth range of 75 ∼ 450 m, the vertical variation of 50.4 Hz noise is the largest. The noise grows substantially in the range of 75 ∼ 250 m, and changes less in the range of 250 ∼ 450 m.
Can the Euro Survive?

One of the fascinating aspects of the European debt crisis has been the resilience of the euro. For much of 2011, the euro was a key reserve currency, oblivious to the chaos ravaging European economies. Now, however, the gravity of the crisis is finally dragging down the euro. As the Euro zone debt crisis enters its third uncertain year, the question about whether the euro can survive rises. This paper argues that the euro can survive given policymakers still have in hand various tools. These tools include creating exit rules, implementing new stabilisation rules and instruments, adopting new fiscal policy, introducing conditional Eurobonds, using inflation differentials and providing more independence to the European Central Bank.
The Modal—Amodal Distinction in the Debate on Conceptual Format

In this paper, I review the main criteria offered for distinguishing the modal and amodal approaches to conceptual format: the type of input to which the representations respond, the relation they bear to perceptual states, and the specific neural systems to which they belong. I evaluate different interpretations of them and argue that they all face difficulties. I further show that they lead to cross-classifications of certain types of representations, using approximate number representations as an example.
Baryonic branches and resolutions of Ricci-flat Kähler cones

We consider deformations of N = 1 superconformal field theories that are AdS/CFT dual to Type IIB string theory on Sasaki-Einstein manifolds, char- acterised by non-zero vacuum expectation values for certain baryonic operators. Such baryonic branches are constructed from (partially) resolved, asymptoti- cally conical Ricci-flat Kahler manifolds, together with a choice of point where the stack of D3-branes is placed. The complete solution then describes a renor- malisation group flow between two AdS fixed points. We discuss the use of probe Euclidean D3-branes in these backgrounds as a means to compute expectation values of baryonic operators. The Y p,q theories are used as illustrative examples throughout the paper. In particular, we present supergravity solutions describ- ing flows from the Y p,q theories to various different orbifold field theories in the infra-red, and successfully match this to an explicit field theory analysis.
Blurred/Non-Blurred Image Alignment using Sparseness Prior

Aligning a pair of blurred and non-blurred images is a prerequisite for many image and video restoration and graphics applications. The traditional alignment methods such as direct and feature-based approaches cannot be used due to the presence of motion blur in one image of the pair. In this paper, we present an effective and accurate alignment approach for a blurred/non-blurred image pair. We exploit a statistical characteristic of the real blur kernel - the marginal distribution of kernel value is sparse. Using this sparseness prior, we can search the best alignment which produces the sparsest blur kernel. The search is carried out in scale space with a coarse-to-fine strategy for efficiency. Finally, we demonstrate the effectiveness of our algorithm for image deblurring, video restoration, and image matting.
Do Frictions Matter in the Labor Market? Accessions, Separations and Minimum Wage Effects

We measure labor market frictions using a strategy that bridges design-based and structural approaches: estimating an equilibrium search model using reduced-form minimum wage elasticities identified from border discontinuities and fitted with Bayesian and LIML methods. We begin by providing the first test of U.S. minimum wage effects on labor market flows and find negative effects on employment flows, but not levels. Separations and accessions fall among restaurants and teens, especially those with low tenure. Our estimated parameters of a search model with wage posting and heterogeneous workers and firms imply that frictions help explain minimum wage effects.