Miracle-dz/UniFAR-FTUs huggingface dataset:
Retrofitting O'Raifeartaigh models with dynamical scales

We provide a method for obtaining simple models of supersymmetry breaking, with all small mass scales generated dynamically, and illustrate it with explicit examples. We start from models of perturbative supersymmetry breaking, such as O'Raifeartaigh and Fayet models, that would respect an R symmetry if their small input parameters transformed as the superpotential does. By coupling the system to a pure supersymmetric Yang-Mills theory (or a more general supersymmetric gauge theory with dynamically small vacuum expectation values), these parameters are replaced by powers of its dynamical scale in a way that is naturally enforced by the symmetry. We show that supersymmetry breaking in these models may be straightforwardly mediated to the supersymmetric Standard Model, obtain complete models of direct gauge mediation, and comment on related model building strategies that arise in this simple framework.
Risk-adjusted antibiotic consumption in 34 public acute hospitals in Ireland, 2006 to 2014

As antibiotic consumption rates between hospitals can vary depending on the characteristics of the patients treated, risk-adjustment that compensates for the patient-based variation is required to assess the impact of any stewardship measures. The aim of this study was to investigate the usefulness of patient-based administrative data variables for adjusting aggregate hospital antibiotic consumption rates. Data on total inpatient antibiotics and six broad subclasses were sourced from 34 acute hospitals from 2006 to 2014. Aggregate annual patient administration data were divided into explanatory variables, including major diagnostic categories, for each hospital. Multivariable regression models were used to identify factors affecting antibiotic consumption. Coefficient of variation of the root mean squared errors (CV-RMSE) for the total antibiotic usage model was very good (11%), however, the value for two of the models was poor (> 30%). The overall inpatient antibiotic consumption increased from 82.5 defined daily doses (DDD)/100 bed-days used in 2006 to 89.2 DDD/100 bed-days used in 2014; the increase was not significant after risk-adjustment. During the same period, consumption of carbapenems increased significantly, while usage of fluoroquinolones decreased. In conclusion, patient-based administrative data variables are useful for adjusting hospital antibiotic consumption rates, although additional variables should also be employed.
Structured Cloud federation for Carrier and ISP infrastructure

Cloud Computing in recent years has seen enhanced growth and extensive support by the research community and industry. The advent of cloud computing realized the concept of commodity computing, in which infrastructure (resources) can be allocated on demand giving the illusion of infinite resource availability. The state-of-art Carrier and ISP infrastructure technology is composed of tightly coupled software services with the underlying customized hardware architecture. The fast growth of cloud computing as a vastly consolidated and stabilized technology is appealing to Carrier Providers in order to reduce Carrier deployment costs and enable a future of Carrier Clouds with easily accessible virtual carriers. For such migration to happen software services need to be generalized, to decouple hardware and software, and prepared to move into the Cloud. The network backbone is centrally managed and only provides network connectivity. We believe this presents an opportunity. The edges of such networks and the core are interconnected with high performance links. If services could be deployed in these edges they would benefit from enhanced locality to the user. In this position paper we propose a distributed cloud architecture (precisely a structured multi-cloud federated infrastructure), with minimal impact on existing infrastructure, as a first step to incorporate the Cloud into the network infrastructure of such providers, enabling and enhancing novel and existing applications.
An Analysis of Factors Affecting Participation Behavior of Limited Resource Farmers in

Smith, N. B. (2002). "Adjusting to a new policy for peanuts. " Department of Agricultural and Applied Economics, University of Georgia. Online. Available at http:/Iwww. ces.uga. eddulAg~culturelageconlfbilL~com/fbillpres.htm. U.S. Department of Agriculture, Farm Service Agency. (2002). "USDA announces peanut program features. " Press ReleaseNo. 0357.02, USDAIFSA, Washington, DC. U.S. Department of Agriculture, National Agricultural Statistics Service. (1999-2003). "Peanut stocks and processing. " Various issues, USDAmASS, Washington, DC. Online. Available at http://usda.mannlib. cornell.edu/reports/ps-bbl. Journal of Agribusiness 22,l (Spring 2004): 17-29
Using Neural Networks for Predicting Futures Contract Prices of White Maize in South Africa

The growing ability to collect and integrate data from disparate sources on a larger scale creates new opportunities for improved decision making. The concepts of using data for predictions by using statistical or computational intelligence models have been researched extensively. However, the tools and techniques that make it possible to analyse the data in real-time as it is created brings about additional opportunities for discovering useful patterns and timely actionable insights. The prices of agricultural grain commodities are known to be volatile due to several factors that influence the prices of grain commodities. Moreover, different combinations of these factors are responsible for the price volatility at different times. This paper carries out a real-time prediction of the futures contract prices of white maize in South Africa as a case study for the use of neural networks for predictive analytics in the financial markets. The predictive analytics model implemented in this study takes into consideration the volatility of the market and the need for the model to be contextual. Relevant data from disparate sources were identified, acquired and integrated into a single source. Thereafter, an exploratory analysis was carried out to understand the relationships that exist between the acquired datasets. A predictive model for the December futures contract prices of white maize on the Johannesburg Stock Exchange (JSE) was proposed using the Back Propagation Neural Network and SAP HANA was used as the enabling technology. The proposed model was used to predict the futures contract prices of white maize on the JSE over a period of time. The validation and evaluation of the proposed model indicate that this approach can be used to predict the futures prices of white maize in South Africa and can be incorporated into a Decision Support System for relevant stakeholders.
New Preprocessing Techniques for Handwritten Word Recognition

The research described in this paper focuses on the presentation of two novel preprocessing techniques for the task of off-line handwritten word recognition. A technique for the identification of straight and skewed underline noise is described along with a novel algorithm for detecting skew in handwritten words. The latter identifies skew by detecting the center of mass in each half of a word image. By hypothesizing a line between the two centres and by measuring the angle it makes with the x-axis, an angle for skew may be estimated. The algorithms are tested on the CEDAR benchmark database of handwritten cursive words. Results above 96% are reported for skew detection and underline removal.
GCD10 and GCD14 Proteins Facilitate Tomato Bushy Stunt Viral (TBSV) RNA Replication in Saccharomyces Cerevisiae

Tomato bushy stunt virus (TBSV) is a positive-sense RNA virus and its genome replication requires two viral proteins, p33 and RNA-dependent RNA polymerase p92. Previous studies showed that the 5’ untranslated region (5’UTR) of the genome is important, albeit not essential, for viral RNA replication in plants. Here, my study shows that the 5’UTR is also important for viral RNA replication in S. cerevisiae, a model host for TBSV. Using the TBSV 5’UTR as bait RNA and a streptotag-based RNA pull-down assay, GCD10 and GCD14 were identified as specific 5’UTRbinding proteins. Subsequent electrophoretic mobility shift assay (EMSA) shows that GCD10 and GCD14 proteins bind directly to the 5’ UTR and both subunits are required for the binding. To investigate the possible importance of GCD10 and GCD14 proteins in TBSV RNA replication, the replication of a TBSV RNA replicon was analyzed in wild type, GCD10 knockdown and GCD14 knockout yeast strains. Reduction of GCD10 protein and deletion of GCD14 protein in the yeast strains significantly inhibited TBSV subviral defective interfering (DI) RNA replication, suggesting that both GCD10 and GCD14 proteins facilitate TBSV DI replication. Importantly, through western analyses, we confirmed that the reduced levels of the replicon in the yeast strains were not due to altered p33 and p93 protein levels. To gain mechanistic insights on TBSV RNA replication, 5’UTR-lacking DI (Δ5'UTR-DI) was also tested in the wildtype, GCD10 knockdown and GCD14 knockout strains. Since Δ5'UTR-DI replicates without the 5’ UTR, its replication was expected to be independent of GCD10 knockdown or GCD14 knockout. As expected, replication of the Δ5’UTR-DI was not inhibited by GCD10 knockdown, showing that GCD10 protein functions only through the 5’ UTR. However, replication of Δ5’UTR-DI was inhibited in GCD14 knockout strain, suggesting that GCD14 protein functions through the 5’ UTR, but is also able to affect replication
THE THAI ECONOMY FOR THE FIRST NINE MONTHS OF 1999

This paper analyzes main characteristics of monetary policy management under inflation targeting and monetary targeting. It also examines the strengths and weaknesses of the two policy strategies in the application to the context of developing countries like Thailand. Although the results from the empirical analysis in this study remain inconclusive to indicate which sort of policy strategies, inflation targeting or monetary targeting, is more suitable for the actual application in Thailand’s case, the findings suggest some specific conditions and important factors that the central bank and concerned authorities have to take into consideration when opting for an appropriate monetary policy framework in the future. In choosing a monetary policy strategy appropriate to a changing structure of Thailand’s economic and financial environment, the monetary authorities need to examine further the issues related to the ability to forecast inflation reasonably well over the medium term, the nature of transmission mechanism of monetary and exchange rate A Preliminary Analysis of Monetary and Inflation Targeting Frameworks for Thailand * Rungsun Hataiseree Monetary Policy Group Bank of Thailand * Background paper to a lecture given to central banks’ delegates at a session of “Study Visit on Option for Exchange Rate Policy”, organized by ESCAP and the Bank of Thailand, on 22nd, November, 1999. An earlier version of this paper was also presented at the Tenth Convention of the Economic Society of Thailand, November 4, 1999, Bangkok. The author wishes to thank seminar participants in particular Chalongphob Sussangkarn, Sataporn Jinachitra for helpful discussion. Special thanks are also due to Atchana Waiquamdee and Suchada Kirakul for their useful comments and suggestions on the previous version of the paper. The views expressed are those of the author and not necessarily those of the Bank of Thailand. policies on inflation, the role of financial innovation and the stability of money demand, a quantitative nature on linkage between instruments and targets of monetary policy, a degree of independence of monetary policy, the nature of the trade-off between the attainment of inflation and other macroeconomic objectives, the nature of shocks affecting the Thai economy in the near term.
Escholarship@umms Program in Gene Function and Expression Publications and Presentations Program in Gene Function and Expression Suppression of Gluconeogenic Gene Expression by Lsd1-mediated Histone Demethylation Repository Citation Suppression of Gluconeogenic Gene Expression by Lsd1- Mediated Hist

Aberrant gluconeogenic gene expression is associated with diabetes, glycogen storage disease, and liver cancer. However, little is known how these genes are regulated at the chromatin level. In this study, we investigated in HepG2 cells whether histone demethylation is a potential mechanism. We found that knockdown or pharmacological inhibition of histone demethylase LSD1 causes remarkable transcription activation of two gluconeogenic genes, FBP1 and G6Pase, and consequently leads to increased de novo glucose synthesis and decreased intracellular glycogen content. Mechanistically, LSD1 occupies the promoters of FBP1 and G6Pase, and modulates their H3K4 dimethylation levels. Thus, our work identifies an epigenetic pathway directly governing gluconeogenic gene expression, which might have important implications in metabolic physiology and diseases. Copyright: ß 2013 Pan et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Smooth transition between tasks on a kinematic control level: Application to self collision avoidance for two Kuka LWR robots

A common approach for kinematically redundant robot consist of a definition of several tasks properly combined in priority. However, in some cases the task priority needs to be changed in order to successfully perform the desired task without changing the initial strategy. In this paper we propose a novel method for control of kinematically redundant robots, where we focus on a smooth, continuous transition between the primary and the secondary task. The method is based on a null-space velocity control algorithm, which is essential for achieving good behaviour of a redundant robotic system. The effectiveness of the proposed system is demonstrated on a robotic system with two Kuka LWR robots.
Multiple Access protocols with smart antennas in multihop Ad hoc rural-area networks

Multihop ad hoc networking is a very appealing technology for the deployment of wireless data networks. It eliminates the need for network planning and the reliance on fixed infrastructure. Multihop ad hoc networks are designed with a self-configuring capability and are able to adapt to the addition or removal of network radio units (nodes). This capability makes them simple to install, allowing unskilled users to quickly set up the network. These characteristics make multihop ad hoc networks very attractive for both civilian and military applications, e.g. in rescue operations. The type of multihop ad hoc networks studied in this thesis consist of identical nodes using the same frequency band for transmission. To control the Multiple Access Interference produced by sharing the same radio channel, a Medium Access Control (MAC) protocol must be used. Much work has been done in the MAC protocols area but the work has concentrated on generic nodes, whereas this thesis considers nodes with smart antennas, an enhanced capability. To fully exploit the additional capability the design of the MAC protocol needs to be considered. Hence, the results of a system level study into MAC protocols and smart antennas is presented in this thesis. Two different MAC protocols were examined, Spatial Time Division Multiple Access (STDMA) which shows much potential in multihop ad hoc networks and Carrier Sense Multiple Access Collision Avoidance (CSMA/CA) with handshaking which currently has much popularity as a result of its adoption in the IEEE 802.11 standard. STDMA is a conflict-free MAC protocol where links or nodes are scheduled to transmit in periodical slots making the integration of smart antennas relatively simple. Routing was found to be critical when utilizing smart antennas and a new procedure to create the link schedule is presented. In addition, it is shown that the terrain roughness influence the network connectivity. However, for the same network connectivity similar performance was obtained independently of the terrain roughness. Although STDMA has been found to be efficient and fair, the drawback is that it does not offer a quick response to peak rates for bursty data traffic. CSMA/CA with handshaking protocol provides a quick response to bursty traffic. The handshaking procedure within this MAC allows the use of smart antennas at both the transmitter and the receiver. How to effectively use smart
Technical Aspects of Intrusion Detection Techniques

The project plan briefly describes the project with title " Evaluation of Intrusion Detection Techniques: State-transition Analysis and Statistical Analysis ". It states the background of intrusion detection and why we need intrusion detection. Then, we briefly introduce two approaches of intrusion detection systems: misuse detection and anomaly detection. After that, we will describe the state-transition analysis and statistical analysis shortly. The project plan also states the outline of contents and what will be achieved in the project and how they can be done. Overall schedule and milestone will be provided in the project plan. Scope The scope of the project includes the evaluation of the two techniques. It studies the underlying assumption, principle and characteristics of each technique. After the analysis of the basic principles, statistical component of Next-Generation Intrusion Detection Expert System (NIDES) and UNIX state transition analysis tool (USTAT) will be presented in order to show the design and implementation of the techniques. Survey and technical reports will be used to evaluate the performance of the techniques and analyze the pros and cons of the techniques. After all, suggestions of improvement will be studied. The project plan will be reviewed at the end of the semester to evaluate the achievement in the first semester and how the actual work deviated from the project plan. It checks whether the schedule is followed. Hence, estimation should be done in order to ensure the project will be finished on time in the second semester. Background As computer systems increasingly perform critical operations and deal with important data, the lack of computer security can lead to loss of money, loss of manpower, reputation destructed, etc. The goal of computer security is to protect the resources of the computer systems. The requirements include confidentiality, integrity and availability. Confidentiality ensures authorized access, integrity ensures the consistency of data and availability ensures the information would not under the denial of service. Before using intrusion detection system, three areas are used to deal the first line of defense of the computer systems. They are 1. Access control to control the access between subjects, objects and subsystems, 2. Identification and authentication (I&A) to identify subjects and objects, 3. Network security includes packet-filtering firewall, cryptography, etc. However, there are still vulnerable attacks such as bugs in I&A, wrong configuration of access control, weak key in cryptography. The general goal of intrusion detection systems is to analyze the …
Interseismic deformation and creep along the central section of the North Anatolian Fault (Turkey): InSAR observations and implications for rate‐and‐state friction properties

We present high‐resolution measurements of interseismic deformation along the central section of the North Anatolian Fault (NAF) in Turkey using interferometric synthetic aperture radar data from the Advanced Land Observing Satellite and Envisat missions. We generated maps of satellite line‐of‐sight velocity using five ascending Advanced Land Observing Satellite tracks and one descending Envisat track covering the NAF between 31.2°E and 34.3°E. The line‐of‐sight velocity reveals discontinuities of up to ∼5 mm/yr across the Ismetpasa segment of the NAF, implying surface creep at a rate of ∼9 mm/yr; this is a large fraction of the inferred slip rate of the NAF (21–25 mm/yr). The lateral extent of significant surface creep is about 75 km. We model the inferred surface velocity and shallow fault creep using numerical simulations of spontaneous earthquake sequences that incorporate laboratory‐derived rate and state friction. Our results indicate that frictional behavior in the Ismetpasa segment is velocity strengthening at shallow depths and transitions to velocity weakening at a depth of 3–6 km. The inferred depth extent of shallow fault creep is 5.5–7 km, suggesting that the deeper locked portion of the partially creeping segment is characterized by a higher stressing rate, smaller events, and shorter recurrence interval. We also reproduce surface velocity in a locked segment of the NAF by fault models with velocity‐weakening conditions at shallow depth. Our results imply that frictional behavior in a shallow portion of major active faults with little or no shallow creep is mostly velocity weakening.
Online approximate model representation of unknown objects

Object representation is useful for many computer vision tasks, such as object detection, recognition, and tracking. Computer vision tasks must handle situations where unknown objects appear and must detect and track some object which is not in the trained database. In such cases, the system must learn or, otherwise derive, descriptions of new objects. In this paper, we investigate creating a representation of previously unknown objects that newly appear in the scene. The representation creates a viewpoint-invariant and scale-normalized model approximately describing an unknown object with multimodal sensors. Those properties of the representation facilitate 3D tracking of the object using 2D-to-2D image matching. The representation has both benefits of an implicit model (referred to as a view-based model) and an explicit model (referred to as a shape-based model). Experimental results demonstrate the viability of the proposed representation and outperform the existing approaches for 3D-pose estimation.
Do Men Use More Sexually Aggressive Tactics When Intoxicated? A Within-Person Examination of Naturally Occurring Episodes of Sex.

Objective Men's alcohol use has been linked to sexual assault perpetration. Yet, it is unknown whether within naturally-occurring sexual encounters men use more sexually aggressive tactics when they are intoxicated. The present study considered whether college men's perceived intoxication at the time of sex increased their self-reported use of verbal persuasion, physical force, and encouraged intoxication of partner as tactics to convince a woman to have sex. Method As part of a 56-day daily report study, 298 college freshman males reported 1,832 episodes of sexual activity with female partners. Using multilevel modeling, we considered the within-person effects of subjective intoxication, sexual precedence (new versus previous partner), and perceived partner sexual interest on male use of sexually aggressive strategies within each sexual encounter. We also considered whether the impact of event-specific intoxication was moderated by individual differences in hostility toward women, delinquency, and impersonal sex. Results Greater subjective intoxication at the time of sex predicted greater use of verbal persuasion and encouraging intoxication of partner. Although intoxication did not predict physical force directly, there were indirect effects via greater verbal persuasion and encouraging partner intoxication. Event-specific intoxication did not interact with any of the individual difference variables and only hostility toward women contributed positively to use of event-specific sexually aggression. Conclusions Men's intoxication at the time of sexual activity increases their use of sexually aggressive strategies within naturally-occurring sexual encounters. Findings help to explain the robust relationship between alcohol use and sexual assault found in college populations.