Miracle-dz/UniFAR-FTUs huggingface dataset:
DEM Working Paper Series Inflation Bias and Markup Shocks in a LAMP Model with Strategic Interaction of Monetary and Fiscal Policy

This paper investigates the effects generated by limited asset market participation on optimal monetary and fiscal policy, where monetary and fiscal authorities are independent and play strategically. It shows that: (i) both the long run and the short run equilibrium require a departure from zero inflation rate; (ii) in response to a markup shock, fiscal policy becomes more aggressive as the fraction of liquidity constrained agents increases and price stability is no longer optimal even under Ramsey; (iii) overall, optimal discretionary policies imply welfare losses for Ricardians, while liquidity constrained consumers experience welfare gains with respect to Ramsey.
FIBIUM : Towards Hardware Accelerated Software Routers Nadi

We propose an alternative router design to fill the gap between pure software routers that suffer from low forwarding performance and commercial routers. We describe a prototype implementation and show that it is in principle capable of handling the traffic requirements of a carrier aggregatio n network. Open source routing software [1, 3] is already deployed within enterprise and ISP networks for specialized tasks. Its quality is getting closer to what is commonly referred to as “carrier grade”. However, PC based routers with open source routing software do not yet offer the throughput needed for ISPs’ purposes. Still, recent advances in both hardware and software capabilities motivate us to revisit the question of what may be a good architecture for a hardware accelerated software router. Current Ethernet switches can often be used as layer-3 switches. Such layer-3 switches have limits as they are not designed to replace Internet backbone routers. Nevertheless, current switches f rom vendors such as HP, NEC, and Cisco, contain components, e.g., TCAMs, for performing longest prefix matching at line rate and offer multiple Terabit throughput. In this paper, we leverage the decoupling of the traditional tasks of a router: maintaining up-to-date routing informat ion and forwarding packets. We propose an alternative hardware accelerated software router, called FIBIUM, that couples a commodity PC running an open source software router with lower cost programmable switching hardware. We are using the switch as a flexible forwarding engine for highperformance forwarding. The PC serves both as a route controller as well as for handling the traffic that was chosen not to be forwarded by the switch. The advantage of our proposal is that we (a) separate the development cycle for hardware-based forwarding and control software, (b) gain flexibility as routers are increasin gly expected to do more than route packets, (c) have a hardware accelerated software based alternative to traditional rou te s such as those by Juniper and Cisco, especially as switches are becoming a commodity. We do not claim that our approach will lead to alternatives comparable to current high end switches and routers available on the market, neither in terms of forwarding performance nor features supported. CPU Switch control logic API
URME Surveillance : Analyzing Viral Face-crime

This self-reflective art paper examines my position within the ecology of surveillance art focused around facial recognition. URME Surveillance, transforms my identity into a defense technology for the public’s protection against facial recognition software. This project encourages the public to substitute their identity for my own by wearing a 3d printed prosthetic mask made in my likeness. This paper will begin by examining our relationship to surveillance and identity by discussing the surveillance system in Chicago as a case study. I will then discuss the work of Adam Harvey and Zac Blas as two contemporary artists working with identity recognition technologies. I will then use their work as a jumping off point for my own, discussing the strategies that lead me to URME Surveillance including an overview of its successes
Semantic Blendshape Method for Video-Driven Facial Animation

This paper proposes a novel method about semantic expression definition and optimization. The proposed method solves the real-time video-driven facial retargeting problem. First, it defines a set of semantic values, which represents the expression, from sparse 2D feature points with noise. Then, an extended optimization solved in semantic space is employed to improve the quality of expression retargeting. The method neither needs to calibrate camera, nor requires user-specific training to construct the special 3D model and blendshape. So, the proposed algorithm can be applied widely for retargeting expression of network video, real-time social networks, and so on. The experiments demonstrates that the proposed method can achieve accurate and stable facial animation results with the pitch and yaw ranged from 15 to 15.
Separating Wheat from Chaff: Joining Biomedical Knowledge and Patient Data for Repurposing Medications

We present a system that jointly harnesses large-scale electronic health records data and a concept graph mined from the medical literature to guide drug repurposing—the process of applying known drugs in new ways to treat diseases. Our study is unique in methods and scope, per the scale of the concept graph and the quantity of data. We harness 10 years of nation-wide medical records of more than 1.5 million people and extract medical knowledge from all of PubMed, the world’s largest corpus of online biomedical literature. We employ links on the concept graph to provide causal signals to prioritize candidate influences between medications and target diseases. We show results of the system on studies of drug repurposing for hypertension and diabetes. In both cases, we present drug families identified by the algorithm which were previously unknown. We verify the results via clinical expert opinion and by prospective clinical trials on hypertension.
CHARACTERISTICS OF THE LONG-TERM UNEMPLOYMENT : EVIDENCE FROM TURKISH LABOR FORCE SURVEY

This paper uses Turkish Household Labor Force Survey data, employing logistic regression modeling, to examine differential impacts of demographic profiles and unemployment-related nominators on long-term unemployment by genders. The results suggest that long-term unemployment is affected by a range of demographic profiles and unemployment-related nominators considered. Additionally, those who are old aged, single and located in Black Sea Region, new graduates for men, housewives for female, highly educated and look for a full-time job at high-ranked positions display higher likelihood of being out of work for a year and more. However, Istanbul and Marmara Regions offer more employment possibilities for women depending on regional development.
Possible role of bee pollen dietary supplement in remediation of hepato-and genotoxic effects of aflatoxins in rats

Background: Mycotoxins are toxic secondary fungal metabolites that implicated in many adverse health effects and economic losses. Recently, bee pollen (BP) has attracted attention as a useful preventive and therapeutic agent referring to its antioxidant properties. Objective: This study aimed to evaluate the potential modulatory effect of BP against aflatoxins (AFs)induced hepatoand genotoxicity in rats. Methodology: Twenty four albino rats were randomly divided into four equal groups and treated for 30 days. Control group (fed basal diet); AFs group (3 mg/kg basal diet); BP group (20 g/kg basal diet) and AFs+BP group. Results: AFs in diet induced elevation in serum ALT and AST activities and TC, TG, LDL and VLDL levels with reduction in HDL level. This was associated with increase in hepatic H2O2 with decrease in GSH and NO levels. Furthermore, AFsinduced DNA damage of hepatocytes. Additionally, degeneration, necrosis, and mononuclear cells infiltration were observed in liver of AFsintoxicated rats. BP supplementation induced a remarkable amelioration of these toxic effects, suggesting its protective antioxidant properties. Conclusion: BP could be used as a biomedicinal supplement in diet to protect animals and humans from hepatoand geno-toxic effects of AFs.
Innovation , Industry Evolution and Employment : Introduction

1. The Employment and Growth Challenges Economic growth and employment creation are the twin horns of not just the European dilemma but of what looms as the major challenge confronting the West. Unemployment in the European Union is twice as high as that in Japan and the U.S. together. Over 11 percent of the work force in the European Union was unemployed in 1996, ranging from 3.3 percent in Luxembourg and 4.4 percent in Austria and to 15.3 percent in Finland and over 20 percent in Spain. Germany, Europe’s biggest labor market, experienced 9 percent unemployment, a number that has kept growing fast. Individual countries have responded to the twin horns of the growthemployment dilemma with a broad spectrum of policy approaches. Led by France and Germany, continental European countries have generally pursued policies of maintaining the status quo, while the United Kingdom and the Netherlands have been bolder at reducing the role of the state. The continued rising unemployment coupled with moderate growth in Europe has triggered a plea by policy makers for rethinking the policy approach that ushered in European prosperity during the post-war era. The resulting policy debate has been cast in terms of an inevitable tradeoff between greater employment but at the sacrifice of lower wages on the one hand, versus the maintenance of wages and living standards but at the cost of less employment on the other. According to this debate, the Anglo-American solution has been the former, while the continental Europeans have chosen the latter. The purpose of this book is to suggest that this policy debate has been miscast. There is an alternative. This alternative involves structural change, and in particular shifting economic activity out of traditional moderate-technology industries and into new emerging knowledge-based industries. In other words, it involves innovation, industry evolution and their consequences for employment development.
Simple, fast and accurate four-point estimators of sinusoidal signal frequency

In this paper, two new sinusoidal signal frequency estimators calculated on the basis of four equally spaced signal samples are presented. These estimators are called four-point estimators. Simulation and experimental research consisting in signal frequency estimation using the invented estimators have been carried out. Simulation has also been performed for frequency tracking. The simulation research was carried out applying the MathCAD computer program that determined samples of a sinusoidal signal disturbed by Gaussian noise. In the experimental research, sinusoidal signal samples were obtained by means of a National Instruments PCI-6024E data acquisition card and an Agilent 33220A function generator. On the basis of the collected samples, the values of four-point estimators invented by the authors and, for comparison, the values of threeand four-point estimators proposed by Vizireanu were determined. Next, estimation errors of the signal frequency were determined. It has been shown that the invented estimators can estimate a signal frequency with greater accuracy.
2 How Has the Euro Changed the Monetary Transmission Mechanism ?

On January 1, 1999, the euro officially became the common currency for 11 countries of continental Europe, and a single monetary policy started under the authority of the European Central Bank (ECB). The European Monetary Union (EMU) followed decades of monetary policies set by national central banks to serve domestic interests, even though these national policies were constrained by monetary arrangements such as the European Monetary System (EMS), which was designed to limit exchange rate fluctuations. Approaching the tenth anniversary of the EMU, we begin to have sufficient data to potentially observe effects of the monetary union on business cycle dynamics. This paper has three objectives. The first is to characterize the transmission mechanism of monetary policy in the euro area (EA) and across its constituent countries. The second is to document how this transmission might have changed since the creation of the euro. The third objective consists of providing a set of explanations, based on a structural open‐economy model, for the observed differences over time and across countries in the responses of key macroeconomic variables. Our first twoobjectives require an empiricalmodel that captures empirically the EA‐wide macroeconomic dynamics, while allowing us to estimate the potentially heterogeneous transmission of EA shocks within individual countries. The factor‐augmented vector autogression (FAVAR) model proposed by Bernanke, Boivin, and Eliasz (2005) is a natural framework in this context. By pooling together a large set of macroeconomic indicators from individual countries, it allows us to identify areawide factors, quantify their importance in the country‐level fluctuations, and trace out the effect of identified aggregate shocks on all country‐level
A Real-Time Fire Detection Method from Video with Multifeature Fusion

The threat to people's lives and property posed by fires has become increasingly serious. To address the problem of a high false alarm rate in traditional fire detection, an innovative detection method based on multifeature fusion of flame is proposed. First, we combined the motion detection and color detection of the flame as the fire preprocessing stage. This method saves a lot of computation time in screening the fire candidate pixels. Second, although the flame is irregular, it has a certain similarity in the sequence of the image. According to this feature, a novel algorithm of flame centroid stabilization based on spatiotemporal relation is proposed, and we calculated the centroid of the flame region of each frame of the image and added the temporal information to obtain the spatiotemporal information of the flame centroid. Then, we extracted features including spatial variability, shape variability, and area variability of the flame to improve the accuracy of recognition. Finally, we used support vector machine for training, completed the analysis of candidate fire images, and achieved automatic fire monitoring. Experimental results showed that the proposed method could improve the accuracy and reduce the false alarm rate compared with a state-of-the-art technique. The method can be applied to real-time camera monitoring systems, such as home security, forest fire alarms, and commercial monitoring.
Enhancement of Channel Potential and Spectral Efficiency using Hyper-MIMO In 5

PG Scholar, Royal College of Engineering & Technology, Thrissur, Kerala, India. Email: mobytcr@gmail.com PG Scholar, Royal College of Engineering & Technology, Thrissur, Kerala, India. Email: athirakrishna066@gmail.com PG Scholar, Royal College of Engineering & Technology, Thrissur, Kerala, India. Email: axamol073@gmail.com PG Scholar, Royal College of Engineering & Technology, Thrissur, Kerala, India. Email: sreeshmapss@gmail.com
A Postmortem of Suspended Twitter Accounts in the 2016 U.S. Presidential Election

Social media sites such as Twitter have faced significant pressure to mitigate spam and abuse on their platform in the aftermath of congressional investigations into Russian interference in the 2016 U.S. presidential election. Twitter publicly acknowledged the exploitation of their platform and has since conducted aggressive cleanups to suspend the involved accounts. To shed light on Twitter's countermeasures, we conduct a postmortem analysis of about one million Twitter accounts who engaged in the 2016 U.S. presidential election but were later suspended by Twitter. To systematically analyze coordinated activities of these suspended accounts, we group them into communities based on their retweet/mention network and analyze different characteristics such as popular tweeters, domains, and hashtags. The results show that suspended and regular communities exhibit significant differences in terms of popular tweeter and hashtags. Our qualitative analysis also shows that suspended communities are heterogeneous in terms of their characteristics. We further find that accounts suspended by Twitter's new countermeasures are tightly connected to the original suspended communities.
Investigating the performance and applicability of object tracking in a real-time distributed video pipeline

Great technological advances in the last decades have enabled the creation of multimedia systems that capture high resolution images at high frame rates. As more and more digital video content is generated, we strive for ways to automatically analyze and understand video through computer vision, for categorization, searchable video and other purposes. Object recognition forms an important part in this evolution, where objects in video are found and identified. In this thesis, we introduce a real-time distributed video pipeline that produces high resolution panorama video. Created as a diverse tool for capture and analysis of sports footage, the system allows for real-time generation and viewing of a cylindrical panorama covering an entire soccer field using five industrial cameras. In three case studies, we investigate the potential for ball and object tracking within such a panorama, by installing the system in both indoor and outdoor locations using different configurations. By selecting three current state-of-the-art object tracking algorithms and through implementation of three of our own tracker algorithms, we evaluate the performance and feasibility of object tracking in a real-time video pipeline. We detail and evaluate the performance of these six trackers in all case studies, and learn that there is often a trade-off between tracking robustness and execution speed. Trackers that maintain adaptive appearance models to track unknown objects, struggle with handling the workload of the high resolution video produced by Bagadus. By developing tracking algorithms specific to each sequence, we are able to achieve usable performance by reducing computations, at the sacrifice of portability. We recognize that especially ball tracking in team sports is a very challenging case, and hope to provide knowledge useful for further research.
A Fuzzy Vault Based Multimodal Biometric Cryptosystem for Enhancing Security

Unimodal Biometric systems stumble upon a noisy sensor acquisition, non-universality performance rate and variety of security problems. It may be inclined to different attacks like a man-in-the-middle attack, Trojan horse attack, collision attack, and replay attack. Template security and privacy are essential issues to be addressed for assuring successful biometric deployment. To overcome these problems, multibiometric systems are now prevalent. In this study, we proposed a method for face and ear multimodal biometric system. The exact shape of the face and ear are obtained by employing a modified region growing algorithm and texture by Local Gabor XOR Pattern (LGXP) technique. Template security and accuracy of the multibiometric system are increased by using fuzzy vault multibiometric cryptosystem. The feasibility of these algorithms for analyzing is obtainable through experimental analysis. The experimental results of the proposed method are evaluated using False Matching Rate (FMR), False NonMatching Rate (FNMR) and Genuine Acceptance Rate (GAR). The performance of the suggested method shows the promising growth in the multimodal biometric recognition and template security. Keywords— Multimodal biometric, Biometric recognition, Fuzzy vault, Cryptosystem, LGXP, Modified region growing algorithm, Face recognition, Ear recognition.
GECKO - A Tool for Effective Annotation of Human Conversations

With the dramatic improvement in automated speech recognition (ASR) accuracy, a variety of machine learning (ML) and natural language processing (NLP) algorithms are designed for human conversation data. Supervised machine learning and particularly deep neural networks (DNNs) require large annotated datasets in order to train high quality models. In this paper we describe Gecko, a tool for annotation of speech and language features of conversations. Gecko allows efﬁcient and effective segmentation of the voice signal by speaker as well as annotation of the linguistic content of the conversation. A key feature of Gecko is the presentation of the output of automatic segmentation and transcription systems in an intuitive user interface for editing. Gecko allows annotation of Voice Activity Detection (VAD), Diarization, Speaker Identiﬁcation and ASR outputs on a large scale. Both annotators and data scientists have reported improvement in the speed and accuracy of work. Gecko is publicly available for the beneﬁt of the community at https://github.com/gong-io/gecko .
Matroids : a Macaulay 2 package

We give an overview of the Macaulay2 package Matroids.m2, which introduces functionality to create and compute with matroids into Macaulay2. Examples highlighting the use of many functions in the package are provided, including applications of matroids to other areas. INTRODUCTION. A matroid is a combinatorial object which abstracts the notions of (linear algebraic, graph-theoretic) independence. Since their introduction by Whitney [1935], matroids have found diverse applications in combinatorics, graph theory, optimization, and algebraic geometry, in addition to being studied as interesting objects in their own right. We describe here the Macaulay2 package Matroids.m2, which is available at https://github.com/jchen419/Matroids-M2. For the reader already familiar with matroids, it provides capabilities to form matroids from a matrix, graph, or ideal; convert between various representations of matroids; create and detect existence of minors; compute Tutte polynomials and Chow rings; as well as applications of matroids to polyhedral and algebraic geometry, commutative algebra, optimization, and even group theory. Each will in turn be illustrated with examples. Virtually all notation and results mentioned below can be found in [Oxley 2011]. One striking feature of matroids is the multitude of distinct ways to define them. This variety of equivalent — or cryptomorphic — ways to characterize matroids is a great strength of matroid theory, and one of the reasons for its ubiquity. From the perspective of this package, the key definition is via bases: Definition. Let E be a finite set, and ∅ 6= B ⊆ 2E a set of subsets of E . The pair (E,B) is a matroid if for any B1, B2 ∈ B and b1 ∈ B1 \ B2, there exists b2 ∈ B2 \ B1 with B1 \ {b1} ∪ {b2} ∈ B. The set E is called the ground set of the matroid M = (E,B), and B is the set of bases of M. All bases have the same cardinality, called the rank of M . Any subset of a basis is an independent set. A subset of E that is not independent is dependent. MSC2010: primary 05-04, 05B35; secondary 05C31, 52B40.
A Study on the Tissue Culture of Eucalyptus Urophylla x Eucalyptus Grandis

Eucalyptus Urophylla x Eucalyptus grandis is a hybrid variety with good adaptation to Gangdong provincial area, China and elite wood quality and fast growth speed. Callus induction, shoot organogenesis and plantlet regeneration from leaves, buds and stem segments explants of Eucalyptus Urophylla x Eucalyptus Grandis’s aseptic seedling were studied and reported in this paper. The optimum tissue culture conditions were established by the comparative experiments of different concentration combinations of many growth regulators as follows: i) callus induction medium: MS+1~2mg/L2,4-D; ii) shoot proliferation culture medium: MS+0.5mg/L6-BA; iii) rooting culture medium: 1/2MS+2.0mg/LNAA.