Miracle-dz/UniFAR-FTUs huggingface dataset:
Debating Varieties of Capitalism: A Reader

Peter Hall and David Soskice's Varieties of Capitalism has become a seminal text and reference point across the social sciences, generating debate and research around political-economic models. Here, Bob Hancke presents the key readings on 'Varieties of Capitalism', including the original Hall and Soskice introduction, which encompass the key issues in the study of capitalism and capitalist diversity, its origins, and the debates that followed it. Beginning with the broad theoretical arguments around the idea of 'Varieties of Capitalism', the book then goes on to focus on specific empirical controversies, before finally considering recent attempts at rethinking this influential framework. The Debating Varieties of Capitalism Reader is the perfect guide to understanding this set of ideas that have changed the way we look at comparative political economy. Contributors to this volume - Steven Casper, Keck Graduate Institute, Colin Crouch, Warwick Business School, Daniel W. Gingerich, Center for the Study of Democratic Politics, Princeton University Peter A. Hall, Harvard University, Bob Hancke, London School of Economics and Political Science, Lane Kenworthy, University of Arizona, Mark Lehrer, Sawyer Business School, Suffolk University, Martin Rhodes, European University Institute, Florence, Wolfgang Streeck, Max Planck Institute for the Study of Societies , David Soskice, Duke University, Mark Zachary Taylor, Department of Political Science, MIT, Mark Thatcher, London School of Economics and Political Science, Kathleen Thelen, Institute for Policy Research, Northwestern University.
Quest for Requirements: Scrutinizing Advanced Search Queries for Cloud Services with Fuzzy Galois Lattices

In software and requirements engineering, requirements elicitation is considered an essential step towards building successful systems. Despite extensive existing research in the field of distributed requirements engineering, the topic of requirements elicitation for cloud systems remains still uncovered. Cloud challenges (e.g., heterogeneous and globally distributed users, volatile requirements, frequent change requests) cannot always be satisfied by existing methods. We present a new approach for eliciting requirements for cloud services by analyzing advanced search queries. Our approach builds fuzzy Galois lattices for the terms that compose advanced search queries, thus enabling a thorough analysis of stored search data. This can support cloud providers in observing requirements clusters and new classes of cloud services, identifying the threshold for achieving satisfied consumers with a minimal set of requirements implemented, and thus designing novel solutions, based on market trends. Moreover, the Galois lattices approach enables large-scale consumers' involvement and ensures the elicitation of real requirements unobtrusively.
Facial-Feature Resemblance Elicits the Transference Effect

In transference, a perceiver’s representation of a significant other is activated and used to interpret and respond to a new target person who bears some resemblance to the particular significant other. Integrating research on face perception and transference, we hypothesized that transference can occur on the basis of the resemblance of a target’s facial features to those of a perceiver’s significant other. Experimental results supported this hypothesis. Manipulating an upcoming interaction partner’s facial features to resemble those of participants’ significant other led participants to make representation-consistent inferences about and evaluations of the partner. Moreover, participants undergoing transference experienced shifts in their self-concept, so that they described themselves more like the person they are when with the relevant significant other. The results represent the first evidence of transference processes occurring through facial-feature resemblance. Implications for research on impression formation, social cognition, and emotions are discussed.
High-voltage pulse-triggered SR latch level-shifter design considerations

This paper compares pulse-triggered level shifters with a traditional level-triggered topology for high-voltage applications with supply voltages in the 50 V to 100 V range. It is found that the pulse-triggered SR (Set/Reset) latch level-shifter has a superior power consumption of 1800 μW/MHz translating a signal from 0-3.3 V to 87.5-100 V. The operation of this level-shifter is verified with measurements on a fabricated chip. The shortcomings of the implemented level-shifter in terms of power dissipation, transition delay, area, and startup behavior are then considered and an improved circuit is suggested which has been designed in three variants being able to translate the low-voltage 0-3.3 V signal to 45-50 V, 85-90 V, and 95-100 V respectively. The improved 95-100 V level shifter achieves a considerably lower power consumption of 438 μW/MHz along with a significantly lower transition delay. The 45-50 V version achieves 47.5 μW/MHz and a transition delay of only 2.03 ns resulting in an impressive FOM of 2.03ns/(0.35 μm 50 V) = 0.12ns/μmV.
A Transient Overload Generator forWeb Servers

Transient overload is a short term event characterized by a sudden and unexpected rise of the arrival rate in a Web server. Transient overload events in Web servers have been observed more frequently as the number of Internet users grows and the Web services become more popular. This paper deals with the non-trivial problem of generating overload for Web server testing. In this paper we present a new Web server workload generator called TORO, which is able to overload a Web server based on the maximum effective capacity of the server. The load generator TORO allows the usage of both real and synthetic loads. The results show that the load generator is able to deliver thousands of requests per second in a variety of workload patterns. Additionally, this paper presents an evaluation of the Apache HTTP Server under transient overload events. The results can be applied to the design of new Web servers.
SOP Embedded Thin Film Resistors on High and Low Loss Thin Film Dielectrics

This paper describes low-cost materials and processes for embedded thin film resistors that can be integrated into printed wiring board using sequential build-up processes. Realization of embedded resistors on conventional board level high loss epoxy (∼0.015 at 1 GHz) and proposed low loss BCB dielectric (∼0.0008 at > 40 GHz) has been explored in this study. Foil transfer and electroless plating have been attempted for embedding thin film resistors. Ni-P alloys were plated using conventional electroless plating, and NiCr and NiCrAlSi foils were used for the foil transfer process. A test vehicle consisting of various geometry and values of resistors was designed and fabricated to evaluate electrical and mechanical reliability of embedded thin film resistors. For the first time, Benzocyclobutene (BCB) has been proposed as a board level dielectric for advanced System-on-Package (SOP) module primarily due to its attractive low-loss (for RF application) and thin film (for high density wiring) properties. To realize embedded resistors on multi-layer BCB, a low-cost large format electroless process for deposition of NiP and NiWP thin film resistors using both low- (25°C) and high-temperature (90°C) baths has been developed. The electroless process exhibits uniform resistor thickness in the sub-micron range and offers low profile and excellent adhesion to BCB dielectric. These films also act as a seed layer for the subsequent direct electroplating of copper traces. NiP alloys can also be tailored to variable temperature coefficient of resistance (TCR) with different alloy compositions. The electroless process can be adopted in the PCB manufacturing industries with no additional investment. © 2005 ASME
Does Easing Monetary Policy Increase Financial Stability?

This paper develops a model featuring both a macroeconomic and a financial stability objective that speaks to the interaction between monetary and macroprudential policies. First, we find that interest rate rigidities in a monopolistic banking system have an asymmetric impact on financial stability: they lead to greater financial instability in response to contractionary shocks, while they act as an automatic financial stabilizer in response to expansionary shocks. Second, we find that when the policy interest rate is the only instrument, a monetary authority subject to the same constraints as private agents cannot always achieve a (constrained) efficient allocation and faces a trade-off between macroeconomic and financial stability in response to contractionary shocks. This has important implications for the role played by U. S. monetary policy in the run-up to the global financial crisis: the model suggests that the weak link in the U. S. policy framework was not the monetary policy stance after 2002, but rather the absence of an effective second policy pillar aimed at preserving financial stability.
Improved Markov Models for Indoor Surveillance

In this paper we look at the problem of searching a human intruder in a closed environment with a small group of mobile robots. In this context motion models for the intruder play an important role for planning the coordination of the robots. Often, simple Brownian motion models are used for this purpose. However, the assumed completely random change of direction in each time step is very unrealistic. We present an improved Markovian motion model that takes the intended motion direction of a person into account in order to achieve a more realistic motion prediction. This model is then used to estimate a probability distribution of an intruder's location within the environment. We develop a greedy algorithm that employs this distribution to coordinate the search of the environment by a group of robots. Finally, we compare our algorithm to two simple search methods and evaluate its behavior in simulation experiments
Improved BGP convergence via ghost flushing

Labovitz et al. (2001) and Labovitz et al. (2000) noticed that sometimes it takes border gateway protocol (BGP) a substantial amount of time and messages to converge and stabilize following the failure of some node in the Internet. In this paper, we suggest a minor modification to BGP that eliminates the problem pointed out and substantially reduces the convergence time and communication complexity of BGP. Roughly speaking, our modification ensures that bad news (the failure of a node/edge) propagate fast, while good news (the establishment of a new path to a destination) propagate somewhat slower. This is achieved in BGP by allowing withdrawal messages to propagate with no delay as fast as the network forward them, while announcements propagate as they do in BGP with a delay at each node of one minRouteAdver (except for the first wave of announcements). As a by product of this work, a new stateless mechanism to overcome the counting to infinity problem is provided, which compares favorably with other known stateless mechanisms (in RIP and IGRP).
A current controller design for current source inverter-fed PMSM drive system

A current source inverter (CSI) requires a capacitor filter for the commutation of switching device as well as attenuating switching harmonics. This paper presents the current controller design of CSI-fed PMSM (Permanent Magnet Synchronous Machine) drive system in order to attenuate resonance due to the LC filter. Basically, the CSI-fed drive system is modeled as a 2nd order system. Hence a multi-loop current controller design using a pole/zero cancellation method is proposed with a transfer function matrix. To compensate the cross-coupling term, two types of controller are implemented using different decoupling method. Additionally, active damping methods are proposed to enhance the stability of the system. To evaluate the effectiveness of the proposed current controller, computer simulation and experiment have been performed and the results are discussed.
Experiences of a large-scale application of 1,2-dichloroethane degrading microorganisms for groundwater treatment.

1,2-Dichloroethane (DCA) mineralizing microorganisms, enriched and isolated under laboratory conditions, were successfully inoculated into a full-scale groundwater purification plant to treat 5-20 m 3 of water/h at 8-12°C. The groundwater contained DCA as the single contaminant in the range of 2000-15000 μg/L. It had to be treated to below 10 μg/L. The treatment plant, consisting of two sand filters followed by two granular activated carbon adsorbers, was biologically modified by the inoculation of DCA degraders and the supply of H 2 O 2 and nutrients. A total of 5000 kg of activated carbon was consumed during the first month of operation to reach the required DCA levels. This amount decreased as the biological process developed. After 2 years and with the implementation of a rotating biological contactor as an additional process step,the exchange of activated carbon became redundant. The microbial DCA removal was followed by its disappearance, the production of chloride ions, the concomitant reduction of pH, and the requirement for H 2 O 2 . So far, 1930 kg of DCA has been removed during the 5-year remediation period.
The role of amino acids in hydroxyapatite mineralization

Polar and charged amino acids (AAs) are heavily expressed in non-collagenous proteins (NCPs), and are involved in hydroxyapatite (HA) mineralization in bone. Here, we review what is known on the effect of single AAs on HA precipitation. Negatively charged AAs, such as aspartic acid, glutamic acid (Glu) and phosphoserine are largely expressed in NCPs and play a critical role in controlling HA nucleation and growth. Positively charged ones such as arginine (Arg) or lysine (Lys) are heavily involved in HA nucleation within extracellular matrix proteins such as collagen. Glu, Arg and Lys intake can also increase bone mineral density by stimulating growth hormone production. In vitro studies suggest that the role of AAs in controlling HA precipitation is affected by their mobility. While dissolved AAs are able to inhibit HA precipitation and growth by chelating Ca2+ and PO43− ions or binding to nuclei of calcium phosphate and preventing their further growth, AAs bound to surfaces can promote HA precipitation by attracting Ca2+ and PO43− ions and increasing the local supersaturation. Overall, the effect of AAs on HA precipitation is worth being investigated more, especially under conditions closer to the physiological ones, where the presence of other factors such as collagen, mineralization inhibitors, and cells heavily influences HA precipitation. A deeper understanding of the role of AAs in HA mineralization will increase our fundamental knowledge related to bone formation, and could lead to new therapies to improve bone regeneration in damaged tissues or cure pathological diseases caused by excessive mineralization in tissues such as cartilage, blood vessels and cardiac valves.
Growth of Hong Kong Before and After Its Reversion to China: The China Factor

The paper focuses on the Hong Kong economy and attempts to measure the contribution of Hong Kong's integration with mainland China to its GDP growth rate. Two linkages have received particular attention, namely, Hong Kong's foreign direct investment (FDI) in China and immigrants from China. While the former is assumed to stimulate capital investment in Hong Kong but at the same time to reduce human capital formation (owing to a shrinkage of its domestic manufacturing sector), the latter is assumed to further reduce Hong Kong's average human capital because immigrants tend to be less educated. By making some assumptions about the future trajectories of Hong Kong direct investment in China and Chinese immigrants into Hong Kong after its reversion to China, the paper offers some predictions about Hong Kong's future economic growth.
Poster: A pilot study on stepwise 6-DoF manipulation of virtual 3D objects using smartphone in wearable augmented reality environment

In general, 6 degrees of freedom (DoF) manipulation of 3D virtual objects requires cumbersome external tracking installations to localize and track the input device in a normal wearable augmented reality (WAR) environment. In this paper, a smartphone-based 6-DoF manipulation method is proposed to avoid the use of complicated installations. First, the proposed 6-DoF manipulation method (3-DoF translation and 3-DoF rotation) exploits various embedded sensor information of the smartphone. Transfer functions are then designed to transfer the phone's 6-DoF control gain to the 3D display space's object manipulation gain. According to the experimental results, the quadratic transfer function was superior to the linear and acceleration functions with less completion time and errors.
Isolation, Characterization, and Identification of Bacterial Contaminants in Semifinal Gelatin Extracts

ABSTRACT Bacterial contamination of gelatin is of great concern. Indeed, this animal colloid has many industrial applications, mainly in food and pharmaceutical products. In a previous study (E. De Clerck and P. De Vos, Syst. Appl. Microbiol. 25:611-618), contamination of a gelatin production process with a variety of gram-positive and gram-negative bacteria was demonstrated. In this study, bacterial contamination of semifinal gelatin extracts from several production plants was examined. Since these extracts are subjected to harsh conditions during production and a final ultrahigh-temperature treatment, the bacterial load at this stage is expected to be greatly reduced. In total, 1,129 isolates were obtained from a total of 73 gelatin batches originating from six different production plants. Each of these batches was suspected of having bacterial contamination based on quality control testing at the production plant from which it originated. For characterization and identification of the 1,129 bacterial isolates, repetitive-element PCR was used to obtain manageable groups. Representative strains were identified by means of 16S rRNA genesequencing, species-specific gyrB PCR, and gyrA and rpoB sequencing and were tested for gelatinase activity. The majority of isolates belonged to members of Bacillus or related endospore-forming genera. Representative strains were identified as Bacillus cereus, Bacillus coagulans, Bacillus fumarioli, Bacillus amyloliquefaciens, Bacillus licheniformis, Bacillus pumilus, Bacillus sonorensis, Bacillus subtilis, Bacillus gelatini, Bacillus thermoamylovorans, Anoxybacillus contaminans, Anoxybacillus flavithermus, Brevibacillus agri, Brevibacillus borstelensis, and Geobacillus stearothermophilus. The majority of these species include strains exhibiting gelatinase activity. Moreover, some of these species have known pathogenic properties. These findings are of great concern with regard to the safety and quality of gelatin and its applications.
Fitness Costs of an Insecticide Resistance and their Population Dynamical Consequences in the Oriental Fruit Fly

ABSTRACT Naled is a commonly used insecticide for controlling populations of the oriental fruit fly, Bactrocera dorsalis (Hendel), in Taiwan and other countries. B. dorsalis has developed resistance to the insecticide, and the resistance management is an important issue. Ecological effects (e.g., fitness costs) of the resistance, when fully understood, can be used for the resistance management. This study examined the effects of the insecticide resistance on important life history traits (i.e., survival rates, stage durations, and fecundity) of the oriental fruit fly by comparing the traits of insecticide resistant individuals and susceptible individuals. Population dynamical properties were also examined using a stage-structured matrix model that was parameterized with the empirical data. The results revealed that susceptible individuals had shorter stage durations (e.g., grew faster) and reproduced more than resistant individuals. The average longevity of sexually mature susceptible adults was longer than that of sexually mature resistant adults. The matrix population model predicted that a population of the susceptible individuals would grow faster than a population of the resistant individuals in the absence of the insecticide. The sensitivity analysis of the model suggests that the sexually immature adult stage is a good candidate for controlling B. dorsalis populations.
Performance analysis for sparse based biased estimator: Application to line spectra analysis

Dictionary based sparse estimators are based on the matching of continuous parameters of interest to a discretized sampling grid. Generally, the parameters of interest do not lie on this grid and there exists an estimator bias even at high Signal to Noise Ratio (SNR). This is the off-grid problem. In this work, we propose and study analytical expressions of the Bayesian Mean Square Error (BMSE) of dictionary based biased estimators at high SNR. We also show that this class of estimators is efficient and thus reaches the Bayesian Cramér-Rao Bound (BCRB) at high SNR. The proposed results are illustrated in the context of line spectra analysis and several popular sparse estimators are compared to our closed-form expressions of the BMSE.
Developing social metrics for security modeling the security culture of it workers individuals (case study)

In this short paper we present and discuss the findings of a case study aimed at developing social security metrics for modeling the security culture of certain individuals. Using these metrics we have modeled the security culture of IT workers individuals from Saudi Arabia. We suggest these metrics can be used for modeling and comparing different security cultures to develop a global security culture required for effective global response to cyber security issues. We start by reviewing the latest research on the social aspects of information security. Then we highlight the history of the under-development social security metrics. Afterward we discuss the setup of the case study and the methodology used. Finally, we discuss the experiment results and suggested further research work.
Scientific articles recommendation with topic regression and relational matrix factorization

In this paper we study the problem of recommending scientific articles to users in an online community with a new perspective of considering topic regression modeling and articles relational structure analysis simultaneously. First, we present a novel topic regression model, the topic regression matrix factorization (tr-MF), to solve the problem. The main idea of tr-MF lies in extending the matrix factorization with a probabilistic topic modeling. In particular, tr-MF introduces a regression model to regularize user factors through probabilistic topic modeling under the basic hypothesis that users share similar preferences if they rate similar sets of items. Consequently, tr-MF provides interpretable latent factors for users and items, and makes accurate predictions for community users. To incorporate the relational structure into the framework of tr-MF, we introduce relational matrix factorization. Through combining tr-MF with the relational matrix factorization, we propose the topic regression collective matrix factorization (tr-CMF) model. In addition, we also present the collaborative topic regression model with relational matrix factorization (CTR-RMF) model, which combines the existing collaborative topic regression (CTR) model and relational matrix factorization (RMF). From this point of view, CTR-RMF can be considered as an appropriate baseline for tr-CMF. Further, we demonstrate the efficacy of the proposed models on a large subset of the data from CiteULike, a bibliography sharing service dataset. The proposed models outperform the state-of-the-art matrix factorization models with a significant margin. Specifically, the proposed models are effective in making predictions for users with only few ratings or even no ratings, and support tasks that are specific to a certain field, neither of which has been addressed in the existing literature.