Miracle-dz/UniFAR-FTUs huggingface dataset:
Predicting Volatility in the Foreign Exchange Market

Measures of volatility implied in option prices are widely believed to be the best available volatility forecasts. In this article, we examine the information content and predictive power of implied standard deviations (ISDs) derived from Chicago Mercantile Exchange options on foreign currency futures. The article finds that statistical time-series models, even when given the advantage of 'ex post' parameter estimates, are outperformed by ISDs. ISDs, however, also appear to be biased volatility forecasts. Using simulations to investigate the robustness of these results, the article finds that measurement errors and statistical problems can substantially distort inferences. Even accounting for these, however, ISDs appear to be too variable relative to future volatility. Copyright 1995 by American Finance Association.
Potential impact of recharging plug‐in hybrid electric vehicles on locational marginal prices

Plug‐in hybrid electric vehicles (PHEVs), upon market penetration, will create additional recharging loads to the electric power systems. This article considers different recharging scenarios and uses game theoretic models to study the potential impact of the recharging loads on locational marginal prices (wholesale electricity prices). Computational results from a Pennsylvania‐New Jersey‐Maryland Interconnection case study show that, under the existing recharging infrastructures, even a small magnitude of load increase caused by PHEV recharging could have a significant undesirable impact on locational marginal prices. The impact could be mitigated to a varying extent by the availability of possible future recharging infrastructures, including realtime pricing recharging meters, battery stations, or vehicle‐to‐grid technology. © 2010 Wiley Periodicals, Inc. Naval Research Logistics, 2010
How the Lake Bonney wind farm met ESCOSA’s, NEMMCO’s, and ElectraNet’s rigorous interconnecting requirements

As wind farms are installed throughout the world, each of them must meet a specific grid code to allow them to interconnect with the regional transmission system. The grid code covers such items as voltage regulation, power factor control, low voltage ride through, and high voltage ride through. This paper discusses how the Lake Bonney wind farm, that was installed on ElectraNet's transmission system, met the ESCOSA (Essential Services Commission of South Australia) and NEMMCO (National Electricity Market Management Company of Australia) wind farm grid code using a centralized dynamic-VAR system, local transmission capacitors, and the wind turbines' own reactive capability.
Diminishing marginal returns from R&D investment: evidence from manufacturing firms

This study analyses the association between R&D Investment (RDI) and growth opportunities and show that there exists diminishing marginal returns in manufacturing firms. Extant literature has found that besides R&D investment, systematic risk, financial leverage and complementary asset investment are also associated with growth opportunities. Accordingly, we employ structural equation modelling to simultaneously estimate both a direct influence of RDI as well as indirect influences of RDI on growth opportunities via these three mediating effects. We find that the direct effect of incremental RDI on growth opportunities is independent of R&D intensity. Instead, the heterogeneous effects of RDI on systematic risk, financial leverage and complementary asset investment across firms with different R&D intensity level accounts for the diminishing marginal returns to R&D investment. We specifically observe that the greatest indirect effect is via the financial leverage of the firm. This study shows the importance of accounting for the interdependencies in R&D investment.
Corporate Relocation in Venture Capital Finance

This paper introduces an analysis of international relocation decisions of venture capital (VC)–backed companies. Relocations to the United States are motivated by economic conditions as well as an improvement in the laws of the country in which the entrepreneurial firm is based. Relocations to the United States yield much greater returns to Asia–Pacific VCs than investing in companies already based in the United States at the time of VC investment. Further, more experienced Asia–Pacific VCs have greater success with their investee relocations to the United States, and these relocations yield higher returns relative to staying in their country of origin.
A wide band scattering analysis of conformal FSS by CBFM and SVD method

In this paper, another version of CBFM based on the dense scattering problems is combined with SVD and threshold technique to compute the scattering from the finite free-standing conformal FSS over a wide frequency under various incident conditions efficiently. The numerical examples show that the method applied in this paper can achieve significant savings in CPU time without the corruption of the accuracy compared to the direct
IS EQUITY A CONSTRAINT? APPLICATIONS TO BLOCK RATE AND OTHER PRICING SCHEMES WITH HETEROGENEOUS USERS

In this paper, we model the trade-off between equity and efficiency in a market for a resource when users of that resource are heterogeneous. We develop the analytical model, and show that under certain circumstances efficiency can be achieved in a manner that also reduces inequality. We also illustrate these results through the use of simulation methods.
Thermoelectric energy scavenging from waste heat of power amplifier transistors

A thermoelectric (TE) energy scavenging technique is proposed to recover energy from the waste heat of power amplifier (PA) transistors. Explored are optimized pellet geometries for maximum efficiency and performance of TE power generation scavenging energy under various parametric conditions. A fully-coupled TE model is developed and integrates TE physics with heat transfer physics. The TE model is exercised to optimize pellet geometries under various heat dissipations of PA transistors, heat sink performances, and load resistances. The TE model determines the efficiencies and the performances of the energy scavenging module associated with optimized pellet geometries.
The Intra-S-Phase Checkpoint Affects both DNA Replication Initiation and Elongation: Single-Cell and -DNA Fiber Analyses

ABSTRACT To investigate the contribution of DNA replication initiation and elongation to the intra-S-phase checkpoint, we examined cells treated with the specific topoisomerase I inhibitor camptothecin. Camptothecin is a potent anticancer agent producing well-characterized replication-mediated DNA double-strand breaks through the collision of replication forks with topoisomerase I cleavage complexes. After a short dose of camptothecin in human colon carcinoma HT29 cells, DNA replication was inhibited rapidly and did not recover for several hours following drug removal. That inhibition occurred preferentially in late-S-phase, compared to early-S-phase, cells and was due to both an inhibition of initiation and elongation, as determined by pulse-labeling nucleotide incorporation in replication foci and DNA fibers. DNA replication was actively inhibited by checkpoint activation since 7-hydroxystaurosporine (UCN-01), the specific Chk1 inhibitor CHIR-124, or transfection with small interfering RNA targeting Chk1 restored both initiation and elongation. Abrogation of the checkpoint markedly enhanced camptothecin-induced DNA damage at replication sites where histone γ-H2AX colocalized with replication foci. Together, our study demonstrates that the intra-S-phase checkpoint is exerted by Chk1 not only upon replication initiation but also upon DNA elongation.
Protein-protein interaction contact matrix prediction with deep learning

Deep learning has emerged as a new area of machine learning research. It has been successfully applied to several fields such as images, sounds, text and motion. In this project, deep learning was applied to protein interaction prediction and compared with support vector machines. Deep learning was shown to have a good performance as well as SVM with Fisher score features.
Wortmannin-sensitive Trafficking Pathways in Chinese Hamster Ovary Cells

Phosphatidylinositol (PI) 3′-kinases are a family of lipid kinases implicated in the regulation of cell growth by oncogene products and tyrosine kinase growth factor receptors. The catalytic subunit of the p85/p110 PI 3′-kinase is homologous to VPS-34, a phosphatidylinositol-specific lipid kinase involved in the sorting of newly synthesized hydrolases to the yeast vacuole. This suggests that PI 3′-kinases may play analogous roles in mammalian cells. We have measured a number of secretory and endocytic trafficking events in Chinese hamster ovary cells in the presence of wortmannin, a potent inhibitor of PI 3′-kinase. Wortmannin caused a 40-50% down-regulation of surface transferrin receptors, with a dose dependence identical to that required for maximal inhibition of the p85/p110 PI 3′-kinase in intact cells. The redistribution of transferrin receptors reflected a 60% increase in the internalization rate and a 35% decrease in the recycling rate. Experiments with fluorescent transferrin showed that entry of transferrin receptors into the recycling compartment and efflux of receptors out of the compartment were slowed by wortmannin. Wortmannin altered the morphology of the recycling compartment, which was more vesiculated than in untreated cells. Using Semliki Forest virus as a probe, we also found that delivery of the endocytosed virus to its lysosomal site of degradation was slowed by wortmannin, whereas endosomal acidification was unaffected. In contrast to these effects on endocytosis and recycling, wortmannin did not affect intracellular processing of newly synthesized viral spike proteins. Wortmannin did induce missorting of the lysosomal enzyme cathepsin D to the secretory pathway, but only at a dose 20-fold greater than that required to inhibit p85/p110 PI 3′-kinase activity or to redistribute transferrin receptors. Our data demonstrate the presence of wortmannin-sensitive enzymes at three distinct steps of the endocytic cycle in Chinese hamster ovary cells: internalization, transit from early endosomes to the recycling and degradative compartments, and transit from the recycling compartment back to the cell surface. The wortmannin-sensitive enzymes critical for endocytosis and recycling are distinct from those involved in sorting newly synthesized lysosomal enzymes.
Foundations of Risk Measurement. I. Risk As Probable Loss

This paper seeks to get behind specific contextual referents of risky situations to consider characteristics of risk that apply to many situations. It is guided by previous theoretical and empirical research in perceived risk, and focuses on the joint effects on risk of loss probability and the distribution of losses. The approach taken follows modern axiomatic theory by proposing conditions on a relation "is at least as risky as" between pairs of probability distributions over an outcome variable. Several sets of axioms for risk that characterize different forms for risk measurement are presented.
External financial inflows and domestic investment in the economies of WAEMU: Crowding-out versus crowding-in effects

This paper analyzes the effects of capital inflows on domestic investment in the Economic and Monetary Union of West Africa (WAEMU). The WAEMU countries are Benin, Burkina Faso, Côte d’Ivoire, Guinea Bissau, Mali, Niger, Senegal, and Togo. Several studies have examined the conditions of attracting foreign capitals and their contributions to economic growth in sub-Saharan economies of WAEMU. However, very few studies have examined the effects of capital on domestic investment in national economies. In this respect, there are three types of foreign capital to be taken into account namely Foreign Direct Investment (FDI), Official development Assistance (ODA) and Migrants Remittances (MR). FDI, ODA and MR are major sources of external capital flows in developing countries. The current empirical study is based on the theoretical model of to test the hypothesis of crowding-out and crowding-in of domestic investments by different types of foreign capitals considered. The econometric estimates are based on the GMM method of Arellano and Bond (1991) applied to a panel of WAEMU countries over the period 1996-2011. The results of the study show that FDI crowds-out domestic firms in both the short and long term. Similarly, ODA have a lasting crowding-out effects on local investment. As for migrants’ remittances, the econometric results show that they do not have a significant effect on domestic investment in the countries of the union. These findings imply that the host countries of the WAEMU should invest more on developing their absorptive capability to attract technology transfer oriented FDI, channel the ODA to develop vital infrastructure for rapid economic development and create conducive environment for the MR to divert towards productive investments to create more crowding-in effects in lieu of the crowding-out effects. Practically, the results of this study show that multinationals have a lasting crowding-out businesses in the WAEMU region. This is mainly due to the low technological absorption capacity of local firms and the lack of complementarity between local enterprises and multinational companies. Several future research on capital flows will better appreciate the impact of foreign investment on the economies of developing countries especially those in Africa.
QoS-Driven Resource Allocation and EE-Balancing for Multiuser Two-Way Amplify-and-Forward Relay Networks

In this paper, we study the problem of energy-efficient resource allocation in multiuser two-way amplify-and-forward (AF) relay networks with the aim of maximizing the energy efficiency (EE), while ensuring the quality-of-service (QoS) requirements and balancing the EE of the user links. We formulate an EE-balancing optimization problem that maximizes the ratio of the spectral efficiency (SE) over the total power dissipation subject to QoS and a limited transmit power constraints. The problem which maximizes the EE by jointly optimizing the subcarrier pairing, power allocation, and subcarrier allocation, turns out to be a non-convex fractional mixed-integer nonlinear programming problem, which has an intractable complexity in general. We apply a concave lower bound on the achievable sum rate and a series of convex transformations to make the problem convex one and propose an iterative algorithm for iteratively tightening the lower bound and finding the optimal solution through dual decomposition approach. In addition, a low-complexity suboptimal algorithm is investigated. We then characterize the impact of various network parameters on the attainable EE and SE of the network employing both EE maximization and SE maximization algorithms when the network is designed from the EE perspective. Simulation results demonstrate the effectiveness of the proposed algorithms.
Effects of Firms’ Relationship-Oriented Behaviors on Financial Performance: A Case of the Restaurant Industry

The business-to-business and business-to-customer relationship marketing literature includes little effort to develop a conceptual framework for understanding both supplier and customer relationship-oriented behaviors. The purpose of this study is to investigate how a firm’s supplier and customer relationship-oriented behaviors affect its financial performance through three relationship performance outcomes: supplier relationship performance, product and service quality performance, and customer relationship performance. The authors critically revisit extant knowledge on the subject, develop a conceptual framework integrating supplier and customer relationship management practices, and test the framework in the independent restaurant industry context. Results support the usefulness of the framework and suggest that building relationships with suppliers and customers plays an important role in providing values to restaurant firms and stakeholders such as suppliers and customers, leading to high financial performance of the restaurant firms.
Exposure to Interpersonal Violence as a Predictor of PTSD Symptomatology in Domestic Violence Survivors

This study examines the interrelationships between childhood abuse, exposure to maternal domestic violence, and posttraumatic stress disorder (PTSD) symptomatology in a multiethnic sample of 111 adult female residents of a domestic violence (DV) shelter. Participants completed structured interviews about the DV and their prior violence exposure, as well as the Impact of Event Scale–Revised. As hypothesized, there was high co-occurrence between exposure to maternal DV and childhood physical and sexual abuse, and the frequency of lifetime violence exposure predicted PTSD symptomatology. A series of multiple regressions indicated a more complex pattern of relationships, in which specific forms of prior violence exposure predicted different PTSD symptom dimensions. A history of witnessing maternal DV predicted intrusion symptoms, and a history of childhood sexual abuse predicted hyperarousal symptoms. Ethnicity was not related to levels of violence exposure or to PTSD symptoms. Clinical implications of the findings are discussed.
Grants to Needy Countries? A Study of Aid Composition Between 1975 and 2005

This article discusses whether the poorest and most indebted countries receive aid in the form of grants rather than loans, by studying bilateral aid flows to low- and middle-income countries between 1975 and 2005. The empirical analysis finds no evidence that more indebted countries receive a higher grant component, but it does show that poorer countries receive a significantly higher grant component, although the size of the effect is quite limited.
A ZCZ‐CDMA system with BFSK modulation

A quasi‐timing synchronous code division multiple access (CDMA) system called ZCZ‐CDMA, which uses a set of sequences with a zero‐correlation zone called ZCZ code as a spreading code, is useful for short‐range wireless communications because of its excellent properties such as co‐channel interference‐free performance, simplified hardware design, and low transmit power as well as fast frame synchronization capability. In this paper, a ZCZ‐CDMA system with binary frequency‐shift keying (BFSK) modulation called BFSK‐ZCZ‐CDMA is proposed. This system is characterized by using a pair of balanced ZCZ codes for spreading and transmitting the two spread components over the respective keying carrier frequencies. Its bit error rate performance, compared with those of existing BPSK‐ZCZ‐CDMA, ASK‐ZCZ‐CDMA, and CDMA systems using the other spreading codes, is evaluated in theory and simulation. The bit error rate performance of the three ZCZ‐CDMA systems over additive white Gaussian noise and Rayleigh fading channels are formulated. It is proved that BFSK‐ZCZ‐CDMA is much more robust in anti‐fading performance and low transmit power in such an environment that fading distributions on the keying frequencies are independent mutually. Fading versus frequency characteristics are also investigated. Copyright © 2012 John Wiley & Sons, Ltd.
Generic bandwidth scalable behavioral models for RF power amplifiers with memory effects

In this paper, generic bandwidth-scalable behavioral models suitable for power amplifiers exhibiting memory effects are proposed. The models are built around state of the art two-box models, namely the Hammerstein model and the forward twin-nonlinear two-box model, and take advantage of the separation, in these two-box models, between the static and dynamic distortions of the power amplifier. In the proposed bandwidth-scalable two-box models, rather than updating the entire model coefficients when the signal bandwidth changes, the memoryless function is maintained unchanged and only the function modeling the dynamic distortions is updated. Experimental validation carried out on a Doherty amplifier prototype shows that the proposed bandwidth-scalable models are able to achieve the same performance as the conventional models while reducing the number of parameters to be updated following a change in the operating signal bandwidth by up to approximately 75% for the Hammerstein model and 40% for the forward twin-nonlinear two-box model. The developed models are suitable for emerging wireless applications where operating conditions varies rapidly.
Recovering an Asset's Implied PDF from Option Prices: An Application to Crude Oil during the Gulf Crisis

Abstract We develop a general method for estimating the implied, martingale equivalent, probability density function (PDF) for futures prices from American options prices. The early exercise feature of American options precludes expressing the price of the option in terms of the PDF. There exist tight bounds for the price of American options in terms of the PDF. We demonstrate how these bounds, together with observed option prices, can be used to estimate the parameters of the PDF. We estimate the distribution for crude oil during the Persian Gulf crisis and find the distribution differs significantly from that recovered using standard techniques.
Territorial Patterns of Innovation and Economic Growth in European Regions

This paper proposes the notion of territorial patterns of innovation as a new conceptualization to understand the relationship among knowledge, innovation, and economic growth at the regional level. The territorial patterns of innovation approach reject the simplistic view of an invention-innovation equivalence and advance alternative patterns, alternative ways in which knowledge and innovation can take place and mix in space. Each of them represents a different way of innovating, one not necessarily more efficient than the other. On the empirical ground, the paper demonstrates this statement for all NUTS2 regions of the 27 European Union states by showing that the efficiency in taking advantage of innovation does not only link to the strength of the local knowledge base; rather, territorial patterns of innovation characterized by relatively low knowledge intensity can be relatively more efficient in grasping and exploiting innovation returns for growing. Interesting policy implications can be drawn from the empirical analysis presented. If the results do not deny the importance of research and development (R&D) activities for regional growth, and therefore the right focus put forward by the Europe 2020 on a “smart growth” based on knowledge and innovation, they call for particular attention when the Europe 2020 goal is translated into a regional setting.
Linear Network Coding: Theory and Algorithms

Network coding is a new paradigm in data transport that combines coding with data propagation over a network. Theory of linear network coding (LNC) adopts a linear coding scheme at every node of the network and promises the optimal data transmission rate from the source to all receivers. Linearity enhances the theoretic elegance and engineering simplicity, which leads to wide applicability. This paper reviews the basic theory of LNC and construction algorithms for optimal linear network codes. Exemplifying applications are presented, including random LNC. The fundamental theorem of LNC applies to only acyclic networks, but practical applications actually ignore the acyclic restriction. The theoretic justification for this involves convolutional network coding (CNC), which, however, incurs the difficulty of precise synchronization. The problem can be alleviated when CNC is generalized by selecting an appropriate structure in commutative algebra for data units. This paper tries to present the necessary algebraic concepts as much as possible in engineering language.