Miracle-dz/UniFAR-FTUs huggingface dataset:
Reorganizing popular politics : participation and the new interest regime in Latin America

1 B.A. (honors) en sociologia y filosofia por la Universidad de Toronto, Canadá. Candidato a doctor en sociología por la Universidad McGill, Canadá. Actualmente se encuentra preparando un research paper sobre capacidad estatal, educación, y violencia civil. Es miembro del comité editorial de la revista académica McGill Sociological Review. Email: pabloquin2@gmail.com Reorganizing Popular Politics (en adelante RPP) es el estudio más completo y sistemático sobre las relaciones entre sociedad civil y Estado en América Latina contemporánea. Esto se debe a que, aunque existen excelentes trabajos (usualmente estudios de caso) sobre acción colectiva y relaciones estado-sociedad, ninguno cuenta con una base empírica tan sólida como la de esta obra que compara cuatro países: Argentina, Chile, Perú, y Venezuela. En Shaping the Political Arena, Ruth y David Collier analizaron las coyunturas críticas que condujeron a la incorporación y legitimación política del movimiento obrero vinculado a partidos de masa. Ese proceso consolidó un modelo de vinculación política entre sociedad y Estado en donde el mecanismo principal para el avance de los intereses populares era la participación en sindicatos obreros con vínculos institucionales al Estado y los partidos políticos. En RPP, dicha forma de vinculación es denominada up-hub y, afirman Ruth Collier y sus colaboradores, ha perdido vigencia. Los cambios económicos, socioestructurales, y de orientación estatal que se dieron desde los ochenta motivaron que reorganizing PoPular Politics: ParticiPation and the new interest regime in latin america
Impact Assessment of Selected Pollution Sources on Groundwater Quality in Wells in Gambari Community, Ogbomoso, Nigeria

This study focused primarily on the determination of heavy metal properties in water samples from selected hand dug wells in a rapidly urbanized Gambari Community in Ogbomoso, Oyo State, Nigeria. The purpose was to assess the quality of water from these sources. Twenty different water samples were taken and analyzed for physicochemical parameters including pH, electrical conductivity, Cyanide, heavy metals - Cu, Zn, Fe, Pb, CN and Mn. From the results of the analyses, most of the parameters were not found averagely to deviate from the standard or found to be present in high concentrations except for conductivity, pH and Cu. Also, most of the water samples were found to be at least at minimal satisfactory level except for GASP (located within a cassava processing and milling industry) that had ninety five percent (95%) of the parameters tested to be at unsatisfactory level. It is recommended that wells should be sited far away from pollution prone areas. Relevant governmental agencies should, in addition, regularly carry out routine inspection on wells marked for domestic use to safeguard the health of the teeming populace in Gambari Community.
An analytical approach for performance evaluation of BICM transmission over Nakagami-m fading channels

Bit-interleaved coded modulation (BICM) has established itself as a quasi-standard for bandwidth- and power-efficient wireless communication. In this paper, we present an analytical approach to evaluate the performance of BICM transmission over frequency-flat fading additive white Gaussian noise channels. The statistic of the fading envelope is modeled as Nakagami-m distributed, which spans a wide range of practical multipath fading scenarios through adjustment of the m-parameter. For this setup, we derive approximations for the bit-error rate (BER) and cutoff rate of BICM. Different from previously proposed methods, our analysis is valid for general quadrature amplitude modulation and phase shift keying signal constellations and arbitrary bit-to-symbol mapping rules, and it results in simple closed-form expressions. The key idea is to use well-chosen subsets of signal points to approximate the probability density function of reliability metrics used for decoding. This approximation is accurate for signal-to-noise ratio regions of interest for BICM systems with moderate coding complexity such as, e.g., convolutional coded BICM systems. Based on this approximation we also derive an asymptotic BER expression, which reveals the diversity order and coding gain of BICM. The usefulness of the proposed analytical approach is validated through numerical and simulation results for a number of BICM transmission examples.
Capacity of queues via point-process channels

A conceptually simple proof for the capacity formula of an exponential server timing channel is provided. The proof links the timing channel to the point-process channel with instantaneous noiseless feedback. This point-process approach enables a study of timing channels that arise in multiserver queues, queues in tandem, and other simple configurations. Although the capacities of such channels remain to be found, the paper provides some analytical bounds and highlights a method to find achievable rates via simulations.
Finnish engineering and Swedish imperialism:

Abstract The aim of this comparative study is to describe how, and explain why, the Finnish and Swedish forest industries developed different strategies after 1950 as reactions to the same international pressures. Different institutional characteristics are presented as the main explanations for the emergence of the different business concepts developed by the two forest-nations. The different business concepts arose despite the two nations being geographical neighbours in the same peripheral part of Europe, with naturally-endowed, biologically-identical forest resources, and despite being competitors in the same world markets.
Correcting Propagation Effects in C-Band Polarimetric Radar Observations of Tropical Convection Using Differential Propagation Phase

Abstract A propagation correction algorithm utilizing the differential propagation phase (ϕdp) was developed and tested on C-band polarimetric radar observations of tropical convection obtained during the Maritime Continent Thunderstorm Experiment. An empirical procedure was refined to estimate the mean coefficient of proportionality a (b) in the linear relationship between ϕdp and the horizontal (differential) attenuation throughout each radar volume. The empirical estimates of these coefficients were a factor of 1.5–2 times larger than predicted by prior scattering simulations. This discrepancy was attributed to the routine presence of large drops [e.g., differential reflectivity Zdr ≥ 3 dB] within the tropical convection that were not included in prior theoretical studies. Scattering simulations demonstrated that the coefficients a and b are nearly constant for small to moderate sized drops (e.g., 0.5 ≤ Zdr ≤ 2 dB; 1 ≤ diameter D0 < 2.5 mm) but actually increase with the differential reflectivity for d.
Distributed Certificate Management in Mobile Ad Hoc Networks

PKI or public key infrastructure is used many security solutions that are designed for mobile ad hoc networks. These networks have special features that distinguish them from other wired and conventional networks and centralized Certificate Authorities cannot be used for certificate management in these kinds of networks. Thus many efforts have been made to adapt Certificate Authority’s (CA) tasks to the dynamic environments of MANETs and distribute the tasks of CA among MANET nodes. In this paper, we study various Certificate management solutions that are proposed in the literature and analyze their advantages and limitations. In addition, we emphasis on certificate revocation and validation issues and compare the overheads of these operations. Finally, we propose the characteristics of an ideal DCA system that can be used to verify the completeness of any DCA Scheme.
Novel Evolutionary Models and Periodic Charts in p- and q-Individual Chromosomes of Auxiliary Lymph Node and Buccal Cells

Signal copy number (SCN) and signal intensity (SI) of subtelomeres (ST) are investigated in auxiliary lymph node (ALN) and buccal (BUC) cells by fluorescence in situ hybridization. The extracted total cell of 38256 and 2309 was, respectively, analyzed from the benign ALN- and BUC-cells of an affected breast cancer patient. The Periodic model was based on ST behavior including normal-, down-, and upregulated clones with diverse SCN. The arm-p/q ratio based signature, as a subtelomeric array, reflects discordance and concordance of ST-behavior within individual chromosomes as a concept of “Individualization of Cells” rather than “Global Insight of Cells”. The Periodic charts could be considered as a reliable and refreshable platform through which the cellular evolution could be patterned and characterized. Signature of ST-profile in the BUC and ALN cells and the nature of diverse SCN and SI as quantitative and qualitative value led to modeling the real personalized perspective of cellular evolution. Protein expression of Ki67, Cyclin D1, and Cyclin E was assayed, as a complementary panel. These targets could be applied as the predictive and preventive markers for an early detection at BUC and ALN levels to plan the required managements in the breast cancer patients.
Robust investment climate effects on alternative firm-level productivity measures

Developing countries are increasingly concerned about improving country competitiveness and productivity, as they face the increasing pressures of globalization and attempt to improve economic growth and reduce poverty. Among such countries, Investment Climate surveys (ICs) at the firm level, have become the standard way for the World Bank to identify key obstacles to country competitiveness, in order to prioritize policy reforms for enhancing competitiveness. Given the surveys objectives and the nature and limitations of the data collected, this paper discusses the advantages and disadvantages of using different total factor productivity (TFP) measures. The main objective is to develop a methodology to generate robust investment climate impacts (elasticities) on TFP under alternative measures. The paper applies it to the data collected for ICs in four developing countries: Costa Rica, Guatemala, Honduras and Nicaragua. Observations on logarithms of the production function variables are pooled across three countries (Guatemala, Honduras and Nicaragua). Endogeneity of the production function inputs and of the investment climate variables is addressed by using observable firm level information, a variant of the control function approach, considering IC variables as proxy and also by aggregating certain investment climate variables by industry and region. It is shown that by using this methodology it is possible to get robust IC “elasticities” on TFP for more than ten different TFP measures. The robust IC elasticity estimates for the five countries show how relevant the investment climate variables are to explain the average productivity of each country. IC variables in several categories (red tape, corruption and crime, infrastructure and, quality and innovation) account for over 30 percent of average productivity. The policy implications are clear: investment climate matters and the relative impact of the various investment climate variables helps indentifying where reform efforts should be directed in each country. It is argued that this robust methodology can be used as a benchmark to assess cross-country productivity effects in other IC surveys. This is important since similar firm-level IC surveys on several sectors (manufacturing, services, etc.) are now available at the World Bank for more than 65 developing countries.
Random Walk Radiosity with generalized transition probabilities

In this paper we study random walk estimators for radiosity w ith generalized transition and absorption probabilities. Tha t is, a path will travel from patch to patch according to an arbitrary tra nsition probability, and survive or be absorbed in it according to an ther arbitrary absorption probability. The estimators studied so far, those with arbitrary absorption probabilities but with the Form F actors as transition probabilities, are obviously a particular case of the more general case presented here. Practical applications of ran dom walks with generalized probabilities are given. Closed forms for the variances are found, together with necessary and sufficient cond itions for their existence. The variances are shown to fulfill a syst em of equations, which is a classical result by Halton. Some parti cular cases are studied, including null variance estimators, whi ch represent the optimal case.
Heterogeneity in Computing 2008

In this paper, we describe our approach to utilizing the compute power of the Cell Broadband Engine (Cell/B.E.) processor as an accelerator for computationally intensive portions of high performance computing applications. We call this approach “hybrid programming” because it distributes application execution across heterogeneous processors. IBM developed a hardware implementation and software infrastructure that enables this hybrid computing model as part of the Roadrunner project for Los Alamos National Laboratory (LANL). In the hybrid programming model, a process running on a host processor, such as an x86_64 architecture processor, creates an accelerator process on an accelerator processor, such as the IBM® PowerXCell8i. The PowerXCell8i is a new implementation of the Cell Broadband Engine architecture. The host process then schedules compute intensive operations onto the accelerator process. The host and accelerator process can continue execution concurrently and synchronize when needed to transfer results or schedule new accelerator computation. We describe the Data Communication and Synchronization (DaCS) Library and Accelerated Library Framework (ALF) which are designed to allow applications to create new applications and adapt existing applications to exploit hybrid computing platforms. We also describe our experience in using such frameworks to construct hybrid versions of the familiar Linpack benchmark and an implicit Monte Carlo radiation transport application named Milagro. Performance measurements on prototype hardware are presented that show the performance improvements achieved to date, along with projections of the expected performance on the final Roadrunner system.
7 . 2 Locative Alternation in Modern Greek : Overview

In other words, the valence alternations in Modern Greek we focus on in this paper are the ones involving direct internal arguments (i.e., objects) and indirect prepositional complements. Such alternation patterns in Modern Greek characterize mainly the behaviour of verbal predicates which participate in the so-called Locative Alternation phenomena. The rest of the paper is structured as follows. In the next section (Section (7.2)) we will give a thorough overview of the behaviour of the relevant classes of verbs in Modern Greek: the so-called spray/load verbs, removal verbs, and the impingement verbs. In Section (7.3) we will present brie¤y previous analyses of valence alternations and we will show why such analyses fail to account for the Modern Greek data that we are interested in. Finally, in the last section (Section (7.4)) we will give a brief overview of Minimal Recursion Semantics (MRS; Copestake et al. (1999)), which the analysis of valence alternations in Modern Greek that we are presenting in the same section is based on.
Microleakage Comparison of Four Dental Materials as Intra-Orifice Barriers in Endodontically Treated Teeth

Introduction The aim of this in vitro study was to compare polymicrobial microleakage of calcium enriched mixture (CEM) cement, mineral trioxide aggregate (MTA), amalgam, and composite resin as intra-orifice sealing materials. Materials and Methods Seventy single-rooted mandibular premolars were instrumented and obturated by cold lateral compaction technique. The teeth were randomly divided into four experimental groups according to used material: CEM, MTA, amalgam and composite resin (n=15) and two control groups (n=5). In experimental groups, 2 mm of coronal gutta-percha was removed and replaced with the study material. All the teeth were mounted in a two-chamber apparatus and the coronal portion was exposed to human saliva. The day the turbidity occurred was recorded for each sample. Data were analyzed using one-way ANOVA. Results The negative control group showed no leakage while the average microleakage time in the positive control group was 3.5 days. The average bacterial leakage times for amalgam, composite resin, MTA, and CEM groups were 27.42±3.6, 29.35±3.15, 52.57±2.87, and 50.42±2.73 days, respectively. There was no significant difference between CEM and MTA groups (P=0.27) and also between amalgam and composite resin groups (P=0.36). However, in term of average leakage time, MTA and CEM groups exhibited significant differences with amalgam and composite resin groups (P<0.001). Conclusion According to the results of the present in vitro study, in terms of coronal sealing in endodontically treated teeth, CEM and MTA are more effective than amalgam and composite resin.
The Rule of Law is Dead! Long Live the Rule of Law!

Polls show that a significant proportion of the public considers judges to be political. This result holds whether Americans are asked about Supreme Court justices, federal judges, state judges, or judges in general. At the same time, a large majority of the public also believes that judges are fair and impartial arbiters, and this belief also applies across the board. In this paper, I consider what this half-law-half-politics understanding of the courts means for judicial legitimacy and the public confidence on which that legitimacy rests. Drawing on the Legal Realists, and particularly on the work of Thurman Arnold, I argue against the notion that the contradictory views must be resolved in order for judicial legitimacy to remain intact. A rule of law built on contending legal and political beliefs is not necessarily fair or just. But it can be stable. At least in the context of law and courts, a house divided may stand. This paper was prepared for presentation at the “What’s Law Got to Do With It? ” Conference, Indiana University School of Law – Bloomington, March 27-28, 2009. Please do not cite or quote without permission. The author thanks Ellen Palminteri and Kyle Somers for their valuable research assistance.
Parallel Transduction of Nanomechanical Motion Using Plasmonic Resonators

We demonstrate parallel transduction of thermally driven mechanical motion of an array of gold-coated silicon nitride nanomechanical beams, by using near-field confinement in plasmonic metal–insulator–metal resonators supported in the gap between the gold layers. The free-space optical readout, enabled by the plasmonic resonances, allows for addressing multiple mechanical resonators in a single measurement. Light absorbed in the metal layer of the beams modifies their mechanical properties, allowing photothermal tuning of the eigenfrequencies. The appearance of photothermally driven parametric amplification indicates the possibility of plasmonic mechanical actuation.
Estimating engel curves: a generalisation of the P-Tobit model

Cross-section demand relationships are usually estimated using data from short-duration expenditure surveys. The interpretation of such observations is not straightforward, since a zero recorded expenditure may understate true demand and a positive expenditure overstates demand. Deaton and Irish have recently proposed and applied the P- Tobit technique to deal with this problem, but with little success. The present paper specifies a generalisation of their model and applies alternative estimators to two different sets of UK survey data.
1 An Interactive Data Mining Framework for EarthCube

The goal of EarthCube is to transform the conduct of geosciences research by supporting the development of community-guided cyberinfrastructure to integrate data and information for knowledge management. Compiling the multitude of geosciences datasets into one single “EarthCube” will undoubtedly increase scientific productivity by making it easier for researchers to access multiple datasets quickly. However, a major challenge in geosciences is the reliable extraction of recurrent features from the massive archive of multidimensional datasets, many of which exhibit a large degree of spatiotemporal sparseness. This challenge exists today, and will only become much more pronounced once EarthCube is fully operational. It is our thesis that the majority of geosciences datasets are currently under-utilized not simply because of issues with data access and distribution but rather because the geosciences community does not yet have sufficient computational capabilities in automated event detection and feature classification to extract the fullest quantitative information from the datasets. What is really required to allow EarthCube to become more than just a comprehensive data clearing house is the development of sophisticated new tools for interactive visualization and mining of multiple datasets for physical content. Such an effort will require an intellectual partnership between the geosciences and computer science research communities. Several existing databases can function as test-beds for development of new EarthCube data mining algorithms, allowing the effort to proceed in parallel with the roll-out of EarthCube cyberinfrastructure. Once fully incorporated into EarthCube the new algorithms will automate extraction of important recurrent features across multiple datasets and thereby improve scientific productivity. Furthermore, the new data mining framework will also function as a flexible machine learning environment for students of all ages, allowing them to become “citizen scientists” in much the same way that the internet has enabled the rise of a generation of “citizen journalists” (i.e. bloggers). In summary, if EarthCube is to be fully successful in producing transformative change in the conduct of geosciences research and education, then the design needs to explicitly include plans to develop a dedicated interactive framework for cutting-edge data mining.
A Study on Context-aware Privacy Protection for Personal Information

By using personal information in a pervasive computing environment, context-aware applications can provide appropriate services for people. This personal information is often involved in personal privacy. In order to protect personal privacy concerns about personal information, privacy role is proposed to control access personal information. We also construct an information system about the privacy decision of personal information disclosure based on people's interaction history. In the initial period of personal information disclosure, the privacy decision is made by people and the information system is constructed based on the decision data. Then privacy disclosure policies are extracted from this information system using rough set theory. According to deducing from the privacy disclosure policies and people's context information, the context-aware application is assigned to an adequate privacy role. It reduces the distraction of privacy decision for people. A case study further shows the proposed method is effective. Finally, it provides about the overload performance of privacy role analysis engine.