Miracle-dz/UniFAR-FTUs huggingface dataset:
Satellite Glial Cells Surrounding Primary Afferent Neurons Are Activated and Proliferate during Monoarthritis in Rats: Is There a Role for ATF3?

Joint inflammatory diseases are debilitating and very painful conditions that still lack effective treatments. Recently, glial cells were shown to be crucial for the development and maintenance of chronic pain, constituting novel targets for therapeutic approaches. At the periphery, the satellite glial cells (SGCs) that surround the cell bodies of primary afferents neurons in the dorsal root ganglia (DRG) display hypertrophy, proliferation, and activation following injury and/or inflammation. It has been suggested that the expression of neuronal injury factors might initially trigger these SGCs-related events. We then aimed at evaluating if SGCs are involved in the establishment/maintenance of articular inflammatory pain, by using the monoarthritis (MA) model, and if the neuronal injury marker activating transcriptional factor 3 (ATF3) is associated with these SGCs' reactive changes. Western Blot (WB) analysis of the glial fibrillary acidic protein (GFAP) expression was performed in L4-L5 DRGs from control non-inflamed rats and MA animals at different time-points of disease (4, 7, and 14d, induced by complete Freund's adjuvant injection into the left hind paw ankle joint). Data indicate that SGCs activation is occurring in MA animals, particularly after day 7 of disease evolution. Additionally, double-immunostaining for ATF3 and GFAP in L5 DRG sections shows that SGCs's activation significantly increases around stressed neurons at 7d of disease, when compared with control animals. The specific labelling of GFAP in SGCs rather than in other cell types was also confirmed by immunohistochemical labeling. Finally, BrdU incorporation indicates that proliferation of SGCs is also significantly increased after 7 days of MA. Data indicate that SGCs play an important role in the mechanisms of articular inflammation, with 7 days of disease being a critical time-point in the MA model, and suggest that ATF3 might be involved in SGCs' reactive changes such as activation.
A high-order perturbation approach to profile reconstruction

A new method for the reconstruction of two-dimensional periodic structures from scattered far-field data is presented. The approach is based on the recently developed `methods of variation of boundaries' (MVB) for the solution of forward-scattering problems. Here, the inverse problem is formulated as that of minimization of an appropriate nonlinear least-squares cost functional J. The analytic continuation ideas inherent to MVB are then advanced to enable a global line search at each step of a proposed conjugate gradients algorithm. Through a number of numerical examples it is demonstrated that such globalization may be necessary to overcome the non-convexity of J which, in turn, is shown to persist even when the global minimizer is known to be unique.
Modeling basin‐scale internal waves in a stratified lake

Basin—scale internal waves provide the driving forces for vertical and horizontal fluxes in a stratified lake below the wind‐mixed layer. Thus, correct modeling of lake mixing and transport requires accurate modeling of basin‐scale internal waves: examining this capability with a hydrostatic, z‐coordinate three‐dimensional (3D) numerical model at coarse grid resolutions is the focus of this paper. It is demonstrated that capturing the correct thermocline forcing with a 3D mixed‐layer model for surface dynamics results in a good representation of low‐frequency internal wave dynamics. The 3D estuary and lake computer model ELCOM is applied to modeling Lake Kinneret, Israel, and is compared with field data under summer stratification conditions to identify and illustrate the spatial structure of the lowest‐mode basin‐scale Kelvin and Poincaré waves that provide the largest two peaks in the internal wave energy spectra. The model solves the unsteady Reynolds‐averaged Navier‐Stokes equations using a semi‐implicit method similar to the momentum solution in the TRIM code with the addition of quadratic Euler‐Lagrange dis‐cretization, scalar (e.g., temperature) transport using a conservative flux‐limited approach, and elimination of vertical diffusion terms in the governing equations. A detailed description is provided of turbulence closure for the vertical Reynolds stress terms and vertical turbulent transport using a 3D mixed‐layer model parameterized on wind and shear energy fluxes instead of the convential eddy viscosity/diffusivity assumption. This approach gives a good representation of the depth of the mixed‐layer at coarse vertical grid resolutions that allows the internal waves to be energized correctly at the basin scale.
Mega-project meltdown: Post-politics, neoliberal urban regeneration and Valencia’s fiscal crisis:

Drawing on the literature of post-politics and post-democracy, the literature of neoliberalism as mode of governance and the study of the city of Valenciaâ€™s long-standing emphasis on the development of prestige mega-projects of iconic architecture as a means to achieve economic regeneration and urban revitalisation, this paper evaluates the social and economic effects of urban mega-projects and analyses them as conduits of neoliberal globalisation and de-politicisation of the public sphere. On the one hand, an urban policy based on the use of mega-projects represents a turn from welfarism to entrepreneurialism which, beyond the evident urban transformation and re-imaging, results in an increase in social inequality, the creation of precarious jobs, and an underinvestment in social services. On the other hand, the mechanisms used to implement mega-projects â€“ including both exceptionality measures and privatisation of management through the creation of semi-public delivery bodies â€“ result in a lack of transparency and democratic control, which in turn lead to more authoritative and privatised forms of decision-making. Moreover, mega-projects â€“ through their focus on expertise and technocracy and a populist politics and discourse constructed around them â€“ play a crucial role in the erosion of democracy and the establishment of a consensual politics where ideological struggle does not exist.
Infidelity in the United States

Infidelity is a common issue couples face throughout the world. Although infidelity is almost universally regarded as unacceptable, a significant minority of men and women commit infidelity sometime during their life. Definitions range from sexual intercourse to internet chatting, and the associated “causes” range from poor marital quality and sexual dissatisfaction to pregnancy and income-related stressors. Consequences of infidelity include marital distress, domestic violence, divorce, depression, and anxiety. The prevalence, causes, and consequences of infidelity are discussed and future research directions noted. Keywords: divorce; extradyadic cheating; extramarital; infidelity; marriage; sexual behavior
Antiviral Oseltamivir Is not Removed or Degraded in Normal Sewage Water Treatment: Implications for Development of Resistance by Influenza A Virus

Oseltamivir is the main antiviral for treatment and prevention of pandemic influenza. The increase in oseltamivir resistance reported recently has therefore sparked a debate on how to use oseltamivir in non pandemic influenza and the risks associated with wide spread use during a pandemic. Several questions have been asked about the fate of oseltamivir in the sewage treatment plants and in the environment. We have assessed the fate of oseltamivir and discuss the implications of environmental residues of oseltamivir regarding the occurrence of resistance. A series of batch experiments that simulated normal sewage treatment with oseltamivir present was conducted and the UV-spectra of oseltamivir were recorded. Findings: Our experiments show that the active moiety of oseltamivir is not removed in normal sewage water treatments and is not degraded substantially by UV light radiation, and that the active substance is released in waste water leaving the plant. Our conclusion is that a ubiquitous use of oseltamivir may result in selection pressures in the environment that favor development of drug-resistance.
Exploiting genre for music emotion classification

Genre and emotion have been applied to content-based music retrieval and organization; however, the intrinsic correlation between them has not been explored. In this paper we present a statistical association analysis to examine such intrinsic correlation and propose a two-layer scheme that exploits the correlation for emotion classification. Significant improvement of classification accuracy over the traditional single-layer scheme is obtained.
Stereo-Based Multi-person Tracking Using Overlapping Silhouette Templates

This paper describes a stereo-based person tracking method for a person following robot. Many previous works on person tracking use laser range finders which can provide very accurate range measurements. Stereo-based systems have also been popular, but most of them are not used for controlling a real robot. We previously developed a tracking method which uses depth templates of person shape applied to a dense depth image. The method, however, sometimes failed when complex occlusions occurred. In this paper, we propose an accurate, stable tracking method using overlapping silhouette templates which consider how persons overlap in the image. Experimental results show the effectiveness of the proposed method.
Interpreting relational databases in the RDF domain

The W3C's "Direct Mapping of Relational Data to RDF" defines a simple, practical and intuitive interpretation of SQL database tables as RDF graphs. This document specifies the formal data models for RDB (Relational DataBase) and RDF and defines a denotational semantics of RDB in the RDF domain. We show how this mapping treats all of the important features of SQL tables, like cardinality and NULLs, and yields an RDF graph which preserves the relational information.
5. References Iii. Central Topics 484

1. The notion of polysemy 2. Polysemy in cognitive linguistics 3. Polysemy in neighboring fields 4. Desiderata 5. References 1. The notion of polysemy The probably most widely accepted definition of polysemy is as the form of ambiguity where 2+ related senses are associated with the same word; consider the meanings of glass in I emptied the glass ('container') and I drank a glass ('contents of the contain-er'). Ever since this notion was proposed by Bréal (1897), it has been puzzling researchers from many disciplines: linguists, lexicographers, psycholinguists, psychologists, computer scientists, etc. In the componential Classical Theory of Meaning (Katz and Fodor 1963; Katz 1967), (i) meanings 1 of words were defined on the basis of necessary and sufficient conditions (or features/markers) without reference to contexts, (ii) therefore , a particular entity was either a full member of the category defined by a word or not, and (iii) the similarity of meanings of different words, or senses of the same word, could be quantified by counting the number of features/markers shared by meanings/ senses. Thus, a word was ambiguous if it had more than one definition using such features (where no distinction between different kinds of ambiguity − homonymy and polysemy − was made). Cognitive linguistics (CL), or cognitive semantics, drew on research in philosophy, anthropology, and cognitive psychology and adopted a perspective in which polysemy became an omnipresent property associated with lexical items but also morphemes, grammatical constructions, and whole grammatical classes. Section 1 sketches the devel-1 I use meanings for unrelated interpretations and senses for related interpretations. III. Central topics 472 opment of polysemy in CL. Section 6 explores how polysemy was addressed in neighboring fields (psycholinguistics and corpus linguistics), and section 10 points out desider-ata for future CL research on polysemy. 2. Polysemy in cognitive linguistics In this section, I will discuss the " history " of polysemy in CL; as in most of CL, I will mostly focus on lexical semantics. The treatment of polysemy in CL involves (i) a viewing meaning/sense as categoriza-tion, (ii) recognizing the importance of context for meaning/senses and that linguistic and encyclopedic knowledge are hard to keep separate, and (iii) incorporating prototype theory into linguistics. As for (i), meaning/sense is viewed as categorization such that, e.g., learning/recognizing that a sparrow is a bird amounts to establishing birds as a category of which sparrows are a member. That is, lexical items are …
THE APPLICATION OF INTERPRETIVE STRUCTURAL MODELING METHOD TO DEVELOP VERITY DESIGN SOLUTION OF CASE HOST PREFERENCE-BASED PRODUCTS : A CASE STUDY OF RAZOR

The purpose of this study is to test the feasibilit y of applying an interpretive structural modeling ( ISM) method for case hosts to develop verity design solu tion of case host preference-based products. In the early design concept stage of the product development, de sign rs often need to create many ideas as the case of products for the main idea of what case the host wa nts. Hence, a conversion approach that can provide multiple design solutions meet case host’s requirem ents is needed. This study presents an ISM method f or developing verity design solution of case host pref erence-based products. A razor will be used as the test case. The experimental results from this study prov ide product designers with a new design approach fo r developing verity design solution of case host pref erence-based product.
Therapy with the Person Who Meditates: Diagnosis and Treatment Strategies:

This article focuses on therapy with individuals engaged in meditation or meditative practices. It discusses the process of meditation, when it is appropriate in therapy to deal with issues related to meditation, negative influences of meditation on the therapy process, and therapeutic strategies to counter these influences. Positive and negative psychological dynamics connected with meditative practices are described in relation to three concepts: transformation, racket-meditation, and autonomy-meditation.
Seasonal Infectious Disease Spread Prediction Using Matrix Decomposition Method

The matrix decomposition is one of the most powerful methods in recommendation systems. In the recommendation system, we can assume an incomplete matrix consisted of observed evaluation values by users and items, then we predict the vacant elements of the matrix using the observed values. This method is applied to a variety of the fields, e.g., for movie recommendations, music recommendations, book recommendations, etc. In this paper, we apply the matrix decomposition to predict the seasonal infectious disease spread. Applying the method to the case of infectious gastroenteritis caused by Norovirus in Japan, we have found that the early detection and prediction for the prevalence of the disease spread can be expected accurately. The infectious disease spread prediction using the matrix decomposition is new. To demonstrate the advantageous point and effectiveness of the matrix decomposition method, we applied the method to the influenza spread prediction in Japan, where missing observations are admitted for computation unlike other prediction methods.
Improving Two-Way Selective Decode-and-forward Wireless Relaying with Energy-Efficient One-bit Soft Forwarding

Motivated by applications such as battery-operated wireless sensor networks (WSN), we propose an easy-to-implement energy-efficient two-way relaying scheme. In particular, we address the challenge of improving the standard two-way selective decode-and-forward protocol (TW-SDF) in terms of block-error-rate (BLER) with minor additional complexity and energy consumption. By following the principle of soft relaying, our solution is the two-way one-bit soft forwarding (TW-1bSF) protocol in which the relay forwards the one-bit quantization of a posterior information metric about the transmitted bits, associated with an appropriately designed reliability parameter. In WSN-related standards (such as IEEE802.15.6 and Bluetooth), block codes are adopted instead of convolutional and other sophisticated codes, due to their efficient decoder hardware implementation. As the second main contribution, we derive tight upper bounds on the BLER performance for both TW-SDF and TW-1bSF, when the two-way relaying network employs block codes and hard decoding. The error probability analysis confirms the superiority of TW-1bSF. Moreover, we derive the asymptotic performance gain of TW-1bSF over TW-SDF, which further suggests that the proposed protocol is a good choice, especially when long block codes are used.
Channel Estimation for Inverse Power Control in Wireless Communication Networks

Inverse power control can be used in several applications. However, it has a severe problem in the original design. That is, the receiver has to estimate channel parameters only using receive signal and original transmission data signal. But the transmitter has an adjustable power control gain located between the original transmission data signal and the channel gain. The power control gain affects the estimation result. Previous studies use two adaptive filters. One is at the receiver and the other at the transmitter. In this study, an adaptive channel estimation algorithm is proposed for inverse power control. There is only one adaptive filter in the overall power control system. Through this method, the convergent rate of the overall power control system can be improved. Meanwhile, the channel model in previous studies is restricted to time-invariance. In this paper, we focus on the time-varying channel. Numerical simulation is provided to compare the performance of the algorithm with existing methods.
Integration of Data Mining and Object-Relational Database Systems

Data Mining techniques, based on statistics and machine learning can significantly boost the ability to analyze large amounts of data. Despite its potential, this technology is destined be a niche technology unless an effort is made to integrate it with the new evolving Object-Relational Database Systems. The traditional database systems are not well suited to meet the challenges of the future. Relational models lack support for the complex data needed by today’s enterprises whereas the object models suffer from scalability problems. Object-Relational Model combines the advantages of the traditional models while overcoming their deficiencies. This technical research paper explores the key issues, challenges and methods to enable the seamless integration of data mining technology within the framework of the Object-Relational Database Systems. This integration is the key to making it convenient to use, easy to deploy in real applications, and to growing its user base
A comprehensive literature review of theories and constructs utilized in type 2 diabetes self-care management research involving African-American men

Abstract Introduction: The purpose of this study is to ascertain the extent and quality of theory and theoretical construct utilization among published empirical studies specific to self-care management research involving African-American men living with type 2 diabetes. Materials and Methods: Systematic literature review for peer-reviewed articles was performed. Articles with barriers, facilitators, masculinity, social support, mistrust, behaviors and decision making among this specific group were sought out. Results: Some studies mentioned a specific theoretical framework or model. However, 35 out of fifty studies did not report any use of theoretical framework or model. Conclusions: This paucity of theory utilization points to a breach in the quality of both qualitative and quantitative research in this area with is particular population of men. Researchers either failed to sufficiently use theory or did so but failed to specify how.
DDMR: Dynamic and Scalable Dual Modular Redundancy with Short Validation Intervals

DMR (dual modular redundancy) was suggested for increasing reliability. Classical DMR consists of pairs of cores that check each other and are pre-connected during manufacturing by dedicated links. In this paper we introduce the dynamic dual modular redundancy (DDMR) architecture. DDMR supports run-time scheduling of redundant threads, which has significant benefits relative to static binding. To allow dynamic pairing, DDMR replaces the special links with a novel ring architecture. DDMR uses short instruction sequences for validation, smaller than the processor reorder buffer. Such short sequences reduce latencies in parallel programs and save resources needed to buffer uncommitted data. DDMR scales with the number of cores and may be used in large multicore architectures.
Specialised Semantics of Logic ProgramsAnnalisa

In this paper, we present a specialised semantics for logic programs. It is a generalization of the s-semantics 16] and it is intended to describe program behaviour whenever some constraints on procedure calls are assumed. Both operational and xpoint constructions are de-ned. They characterize successful derivations of programs where only atoms satisfying a given call-condition are selected. The concept of specialisable call correct (s.c.c., in short) program with respect to a given call-condition is introduced. We show that specialis-able call correct programs can be transformed into call-correct ones. A suucient condition to verify specialisable call correctness is stated. operator
Patterns of buffer overflow in a class of queues with long memory in the input stream

We study the time it takes until a ﬂuid queue with a ﬁnite, but large, holding capacity reaches the overﬂow point. The queue is fed by an on/off process with a heavy tailed on distribution which is known to have long memory. It turns out that the expected time until overﬂow, as a function of capacity L , increases only polynomially fast; so overﬂows happen much more often than in the “classical” light tailed case, where the expected overﬂow time increases as an exponential function of L . Moreover, we show that in the heavy tailed case overﬂows are basically caused by single huge jobs. An implication is that the usual GI/G/ 1 queue with ﬁnite but large holding capacity and heavy tailed service times will overﬂow about equally often no matter how much we increase the service rate . We also study the time until overﬂow for queues fed by a superposition of k iid on/off processes with a heavy tailed on distribution, and we show the beneﬁt of pooling the system resources as far as time until overﬂow is concerned.
Front Instabilities and Invasiveness of Simulated 3D Avascular Tumors

We use the Glazier-Graner-Hogeweg model to simulate three-dimensional (3D), single-phenotype, avascular tumors growing in an homogeneous tissue matrix (TM) supplying a single limiting nutrient. We study the effects of two parameters on tumor morphology: a diffusion-limitation parameter defined as the ratio of the tumor-substrate consumption rate to the substrate-transport rate, and the tumor-TM surface tension. This initial model omits necrosis and oxidative/hypoxic metabolism effects, which can further influence tumor morphology, but our simplified model still shows significant parameter dependencies. The diffusion-limitation parameter determines whether the growing solid tumor develops a smooth (noninvasive) or fingered (invasive) interface, as in our earlier two-dimensional (2D) simulations. The sensitivity of 3D tumor morphology to tumor-TM surface tension increases with the size of the diffusion-limitation parameter, as in 2D. The 3D results are unexpectedly close to those in 2D. Our results therefore may justify using simpler 2D simulations of tumor growth, instead of more realistic but more computationally expensive 3D simulations. While geometrical artifacts mean that 2D sections of connected 3D tumors may be disconnected, the morphologies of 3D simulated tumors nevertheless correlate with the morphologies of their 2D sections, especially for low-surface-tension tumors, allowing the use of 2D sections to partially reconstruct medically-important 3D-tumor structures.