Miracle-dz/UniFAR-FTUs huggingface dataset:
Pareto Efficient Income Taxation and Self-financing Tax Cuts

The paper compares two criteria for evaluating income tax schedules, namely absence of a self-financing tax cut and Pareto efficiency. It is first pointed out that both criteria are equivalent under nonlinear taxation but not under linear taxation. Then the equivalence is used for showing that (i) the effect of a tax reform on total revenue is a sufficient statistic for Pareto efficiency in the presence of tax evasion, that (ii) the criterion of a self-financing tax cut also applies to the analysis of work related expenses and that (iii) objectives that either maximize statutory disposable income or minimize statutory tax rates lead to a Pareto efficient outcome.
Lawrence Berkeley National Laboratory Recent Work Title Hadronic Fluctuations and Correlations Permalink

We will provide a review of some of the physics which can be addressed by studying fluctuations and correlations in heavy ion collisions. We will discuss Lattice QCD results on fluctuations and correlations and will put them into context with observables which have been measured in heavy-ion collisions. Special attention will be given to the QCD critical point and the first order co-existence region, and we will discuss how the measurement of fluctuations and correlations can help in an experimental search for non-trivial structures in the QCD phase diagram.
Five Tips for Building a Successful Didactic Talk

Passion is contagious. If the audience senses how much you care about your topic, they will feel more invested. Choose a topic that you crave to learn more about or share with others. Even if you are assigned a topic, find something personally interesting within that topic. Find a story to frame your talk. In an editorial on storytelling in medicine, Ofri stated “Medical caregivers are always telling stories because stories provide meaning to much of their working lives . the compulsion to tell a story is largely motivated by the profound emotions kindled by the clinical experience. ” We share stories all the time—we just happen to call our stories “cases. ” Stories bring a sense of humanity to a scientific talk and engage clinicians more than a collection of facts. A commonly encountered pitfall is that “most presentations make the supportive media (i.e. the slides) the focus of the presentation without thought about the story or the delivery. ” This is not to say you must present a case—but you should put the key points into a larger organizing framework.
Perception and Automation for Intelligent Mobility in Dynamic Environments

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Perception and Automation for Intelligent Mobility in Dynamic Environments Lukas Rummelhard, Jerome Lussereau, Jean-Alix David, Christian Laugier, Salvador Dominguez, Gaëtan Garcia, Philippe Martinet
A study of the TLS ecosystem

SSL/TLS, a 20-year old security protocol, has become a major component securing network communications, from HTTPS e-commerce and social network sites to Virtual Private Networks, from e-mail protocols to virtually every possible protocol. In the recent years, SSL/TLS has received a lot of attentions, leading to the discovery of many security vulnerabilities, and to protocol improvements. In this thesis, we first explore the SSL/TLS ecosystem at large using IPv4 HTTPS scans, while proposing collection and analysis methodologies to obtain reproducible and comparable results across different measurement campaigns. Beyond these observations, we focused on two key aspects of TLS security: how to mitigate Record Protocol attacks, and how to write safe and efficient parsers. Finally, building on the numerous implementation flaws in almost all TLS stacks in the last years, we propose some thoughts about the challenges in writing a secure TLS library
1 1 Neutral detergent fiber rather than other dietary fiber types as an independent variable increases the 2 accuracy of prediction equation for digestible energy in feeds for growing pigs 3 4

17 Objective: The objectives were to investigate correlations between energy digestibility (DE:GE) and various 18 fiber types including crude fiber (CF), total dietary fiber (TDF), soluble dietary fiber (SDF), insoluble dietary 19 fiber (IDF), neutral detergent fiber (NDF), and acid detergent fiber (ADF), and to develop prediction equations 20 for estimating digestible energy (DE) in feed ingredients and diets for growing pigs. 21 Methods: A total of 289 data with DE values and chemical composition of feeds from 39 studies were used to 22 develop prediction equations for DE. The equations were validated using values provided by the National 23 Research Council. 24 Results: The DE values in feed ingredients ranged from 2,011 to 4,590 kcal/kg DM and those in diets ranged 25 from 2,801 to 4,203 kcal/kg DM. In feed ingredients, DE:GE was negatively correlated (p<0.001) with NDF (r 26 = −0.84), IDF (r = −0.83), TDF (r = −0.82), ADF (r = −0.78), and CF (r = −0.72). A best-fitting model for DE 27 (kcal/kg) in feed ingredients was: 1,356 + (0.704 × GE, kcal/kg) – (60.3 × ash, %) – (27.7 × NDF, %) with R 2 = 28 0.80 and p<0.001. In diets, DE:GE was negatively correlated (p<0.01) with NDF (r = −0.72), IDF (r = −0.61), 29 TDF (r = −0.52), CF (r = −0.45), and ADF (r = −0.34). A best-fitting model for DE (kcal/kg) in diets was: 1,551 30 + (0.606 × GE, kcal/kg) – (22.1 × ash, %) – (25.6 × NDF, %) with R 2 = 0.62 and p<0.001. All variables are 31 expressed as DM basis. The equation developed for DE in feed ingredients had greater accuracy than a 32 published equation for DE. 33 Conclusion: All fiber types are reasonably good independent variables for predicting digestible energy of swine 34 feeds. The best-fitting model for predicting digestible energy of feeds employed neutral detergent fiber as an 35 independent variable. 36
AIS Inspired Approach for User Identification Based on EEG Signals

Users are always looking for the next method for securing computer based systems because unauthorized users are always trying to find means of accessing the secured systems. With the advances in computer hardware it’s getting easier for unauthorized users to develop techniques that try to pass the existing security measures. Electroencephalogram (EEG) is the recording of electrical activity from the surface of the brain. It is proved that there is a significant amount of individuality in the EEG signals, accordingly its can be used as a biometric for user identification. In this paper, we present an artificial immune system inspired approach for identifying users using EEG signals. The Physionet EEG Motor/Movement/ Imagery dataset is used to validate this approach. The dataset consists of signals for over a hundred users. The dataset is imported to EEG lab for the preprocessing phase, then we use artificial immune system based algorithm for user matching. Key-Words: EEG, Authentication, AIS, identification, biometrics, negative selection, positive selection
The effects of concreteness on learning, transfer, and representation of mathematical concepts

ii ACKNOWLEDGMENTS . v VITA. vii LIST OF FIGURES . xii LIST OF TABLES . xiii CHAPTERS 1 MATHEMATICAL CONCEPTS AND TRANSFER . 1 Nature of Mathematical Concepts . 2 Transfer and analogical reasoning . 6 Effect of concreteness on transfer. 9 Research Questions. 13 Theoretical Framework. 14 2 LITERATURE REVIEW . 19 Effective Symbols. 19 Analogical Reasoning . 22 Representation – Recognition of relational structure throughout development. 22 Retrieval . 27 x Alignment and Mapping of Structure. 31 Implementation . 33 Schema Formation . 35 Diagrammatic Reasoning. 36 3 METHODOLOGY . 41 Basic Experimental Paradigm. 41 4 EFFECTS OF CONCRETENESS ON LEARNING AND TRANSFER . 47 EXPERIMENT 1 . 47 EXPERIMENT 2 . 50 EXPERIMENT 3 . 57 SUMMARY. 62 5 THE NATURE OF THE INTERNAL REPRESENTATIONS. 64 EXPERIMENT 4 . 65 6 EFFECTS OF LEARNING MULTIPLE INSTANTIATIONS . 72 EXPERIMENT 5 . 74 7 EFFECT OF LEARNING A RELATIONAL DIAGRAM . 87 EXPERIMENT 6 . 90 8 EFFECTS OF CONCRETENES ON CHILDREN'S LEARNING AND TRANSFER . 98 EXPERIMENT 7 . 100 9 GENERAL DISCUSSION . 104 Summary of Findings. 104 Mechanisms of Transfer . 108 xi Conclusions. 114 REFERENCES. 115 APPENDICES . 122 A TRAINING AND TESTING FOR EXPERIMENT 1. 122 B GENERIC DOMAIN . 138 C RELEVANTLY CONCRETE DOMAIN. 151 D BASELINE DOMAIN. 163 E TRANSFER DOMAIN . 168 F STRUCTURE RECOGNITION. 177 G MULTIPLE INSTANTIATIONS. 187 H RELATIONAL DIAGRAM . 227 I TRANSFER TEST 2 . 267 J CHILDREN'S LEARNING DOMAINS. 270 K CHILDREN'S TRANSFER DOMAIN. 291
Genital Papillomatosis Associated with Two Novel Mucosotropic Papillomaviruses from a Florida Manatee ( Trichechus manatus latirostris )

Department of Medicine, School of Medicine, University of Louisville, 323 E. Chestnut Street, Louisville, KY 40292, USA James Graham Brown Cancer Center, University of Louisville, 505 S. Hancock Street, Louisville, KY 40202, USA Puerto Rico Manatee Conservation Center, Inter American University of Puerto Rico, PO Box 361715, San Juan, 00936, Puerto Rico Georgia Aquarium, 225 Baker Street Northwest, Atlanta, GA 30313, USA E-mail: gbossart@georgiaaquarium.org Division of Comparative Pathology, Department of Pathology, Miller School of Medicine, PO Box 016960 (R-46), University of Miami, Miami, FL 33136, USA
Efficient Analysis of Traffic Accident Using Data Mining techniques

Data Mining is the process of extracting patterns from data. Machine Learning is a scientific discipline that is concerned with the design and development of algorithms that allow computers to learn based on data, such as from sensor data or databases. A major focus of machine learning research is automatically learn to recognize complex patterns and make intelligent decisions based on data. Engineers andresearchers in the automobile industry have tried to design and build safer automobiles, but traffic accidents are unavoidable. Patterns involved in dangerous crashes could be detected if we develop a prediction model that automatically classifies the type of injury severity of various trafficaccidents. These behavioral and roadway patterns are useful in the development of traffic safety control policy. We believe that to obtain the greatest possible accident reduction effects with limited budgetary resources, it is important that measures be based on scientific and objective surveys of the causes of accidents and severity of injuries. This paper deals about some classification models to predict the severity of injury that occurred during traffic accidents using two machine-learning approaches. We compared Naive Bayesian classifier and J48 decision tree Classifier for classifying the type of injury severity of various traffic accidents and the result shows that J48 outperforms Naive Bayesian.
The complexity of monumentality in Melanesia: Mixed messages from Vanuatu

This paper revisits the concept of monumentality through the lens of grand communal ceremonies on three separate islands, with contrasting chiefly systems, in the archipelago of Vanuatu (Figure 5.1). One is the island of Malakula in the north where substantial stone structures associated with a range of ceremonies can be found right across the landscape. Further south on Efate the use of stone is limited but grand ceremony and monumentality is spectacularly demonstrated in the archaeological record. Lastly, large ceremonies involving thousands of people occur on a regular basis on the island of Tanna in the south, yet the material remains of such events are almost completely absent (Bonnemaison 1994). This striking variance across a single archipelago leads to some questions regarding the whole concept and significance of monumentality (Ballard and Wilson 2014) and particularly to its importance in relation to processes of social transformation in the Pacific. However, it needs to be emphasised that the wider debate is somewhat handicapped by the fact that the study of monumentality across the broader Pacific is extremely uneven in its coverage, at least in archaeological focus, in terms of both even basic information and a lack of targeted research (Walter and Sheppard 2006). While the trajectory of sociopolitical complexity and its associated proxies have been tracked on almost literally every major Polynesian island group, along with many in Micronesia, the archaeology of social systems of the South-West Pacific are rare (Allen 1985; Garanger 1972; Irwin 1985; Sand 1995; Spriggs 1986) and specifically those associated with ritual architecture, or monumentality generally, remain remarkably few (Bickler 2004; Byrne 2013; Field 2004; Sand 1995; Spriggs 1986; Thomas 2009; Walter and Sheppard 2006).
PrimaTourism: Plant selection by Schlegel’s Banded Langur Presbytis neglectus in Johor

Schlegel’s Banded Langur, P. neglectus is an understudied primate species in Johor. However, no data were recorded on the species feeding ecology from previous study. This study aims to assess the food selection of P. neglectus in Kampung Johor Lama, Kota Tinggi, Johor. Observations were made using scan sampling techniques and identification of plants was made using dichotomous key to record and identify the plants eaten by P. neglectus in Kampung Johor Lama, Kota Tinggi, Johor. 27 species of plants were recorded from 17 families during 2 months of observation starting from July 2018 to August 2018. Plant species found in the area comprises of a mixture of mangroves plants, orchard plants, pioneer forest plants and others. A notable plants species selected by P. neglectus includes pome trees, Nephelium lappaceum, commodity plants, Elaeis guineensis and Hevea brasiliensis, mangrove plants, Rhizophora mucronate, pioneer tree species, Macaranga gigantea and others. Plants selected by P. neglectus in this study suggested a viable adaptation to human settlement in Kampung Johor Lama.
INSTITUTE OF ECONOMIC STUDIES WORKING PAPER SERIES W 07 : 09 September 2007 Keynes , investment , unemployment and expectations

In Keynes’ General Theory, investment determines ef fective demand, which determines unemployment and the labour market plays a negligible role. In New Keynesian models, labour market institutions determ ine the natural rate of unemployment and the speed at which unemployment ad justs to it. Investment is mostly ignored as a key variable behind the problem of high unemployment, despite a strong empirical association between investment and unemployment. We discuss the evolution of the ‘Keynesian’ model, and how in the process of domesticating the General Theory, the central relationship between un employment and investment and the role of the state of confidence was bred out of the model. We then present some evidence of the centrality of investment and expect ations to the long-term evolution of unemployment in OECD countries. We also argue that recent results in finance, which find that individuals do not behave rationally and, moreover, that there may be no basis for rational calculation, provides support fo Keynes’s notion that animal spirits play a central role in investment. JEL classification: J1, E2
Comparative Analysis of NLS Sequence Suggests the Evolutionary Origin of Nuclear Matrix Metalloproteinase 7 during Cancer Evolution

The exact mechanism of how various proteins translocate from the extracellular into the nucleus to initiate cancer evolution is not known. Specific sequence associated with such nuclear event, thus known as Nuclear Localization Signal (NLS) was investigated. MATRIX Metalloproteinase (MMP) family proteins were found to possess NLS. Research shows over expression of the nuclear MMP(7) protein in different types of human cancer. It is claimed that animals have acquired better pathways to overcome tumor development, therefore it is vital to focus on cancer evolution. The aim of this paper is to investigate evolutionary origin of the NLS in MMP7 by analyzing different species. We found MMP NLS is much conserved but with variations and MMP7 NLS shows the partial consistence with Full-length protein in different species. Our data suggest that nuclear MMP may have undergone evolutionary deviation during natural selection for cancer
Design and implementation of a gas identification system on Zynq SoC platform

The Zynq-7000 based platforms are increasingly being used in different applications including image and signal processing. The Zynq system on chip (SoC) architecture combines a processing system based on a dual core ARM Cortex processor with a programmable logic (PL) based on a Xilinx 7 series field programmable gate arrays (FPGAs). Using the Zynq platform, real-time hardware acceleration can be performed on the programmable logic and controlled by a software running on the ARM-based processing system (PS). In this paper, a design and implementation of a gas identification system on the Zynq platform which shows promising results is presented. The gas identification system is based on a 16- Array SnO2 gas sensor, principal component analysis (PCA) for dimensionality reduction and decision tree (DT) for classification. The main part of the system that will be executed on the PL for hardware acceleration takes the form of an IP developed in C and synthesized using Vivado High Level Synthesis for the conversion from C to register transfer level, a hardware design for the entire system that allows the execution of the IP on the PL and the remaining parts of the identification system on the PS is developed in Vivado using IP Integrator. The communication between the processing system and programmable logic is performed using advanced extensible interface protocol (AXI). A software application is developed and executed on the ARM processor to control the hardware acceleration on the programmable logic of the previously designed IP core and the board is programmed using Software Development Kit. The maximum accuracy achieved by the system to classify three types of gases CO, C2H6O and H2 is 96.66%.
Tilburg University Hyperfine-grained meanings in classical logic

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Tobacco smoke and its constituents

This chapter addresses the concordance in studies of carcinogenicity and mechanisms between experimental animals and humans for tobacco smoke and its constituents. Volume 100E of the IARC Monographs updated the literature on tobacco smoke and the evaluations of its carcinogenicity (IARC, 2012b). It concluded that there was sufficient evidence that tobacco smoking causes multiple types of cancer in humans, including (to varying extents) cancers of the lung, oral cavity, pharynx, oesophagus, stomach, colorectum, liver, pancreas, nasal cavity and paranasal sinuses, larynx, uterine cervix, ovary (mucinous), urinary bladder, kidney, ureter, and bone marrow (myeloid leukaemia). Coherence: carcinogenicity of tobacco smoke in humans versus experimental animals
Genetic Algorithm to Improve Diversity in MDE

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Genetic Algorithm to Improve Diversity in MDE Florian Galinier, Eric Bourreau, Annie Chateau, Adel Ferdjoukh, Clémentine Nebut
The Growth-Inflation Nexus for the US over 1801-2013 : A Semiparametric Approach

We try and detect whether there exists a threshold level of inflation for the US economy over 1801-2013, beyond which it has a negative effect on economic growth. We use a combination of nonparametric (NP) and instrumental variable semiparametric (SNPIV) methods to obtain inflation thresholds for the United States. The results suggest that the relationship between growth and inflation is hump shaped—that higher levels of inflation reduce growth more. Our results consistently show that inflation above two per cent negatively affects growth.
Clustering microarray gene expression data has been used to improve cancer

Cancer subtyping remains a challenging task in microarray data analysis. The major goals of a successful cancer subtyping system are accuracy and reliability. Cluster analysis techniques have proven to be effective in this area. To facilitate further development in cancer subtyping based on microarray data, we provide a comprehensive review of the major cluster analysis algorithms from the clinical and computational domains that have been applied on microarray mRNA expression data and miRNA expression data for cancer subtyping, as well as other clustering algorithms with potential application in cancer subtyping. CCS Concepts: rComputing methodologies→ Cluster analysis; Unsupervised learning; Machine learning; Learning paradigms; rApplied computing→ Health informatics; Life and medical sciences;
Comparative analysis of methods to detect radio controlled commercial UAVs

In the last few years we have witnessed an increase in adoption of UAVs (unmanned aerial vehicles) in many fields. Although they have useful applications, they can also pose a security threat for both the civilian and military domains. This paper presents a comparative multiple-criteria analysis of existing detection methods and possible countermeasures against commercially available UAVs, with a focus on the radio communications. Based on an objective function, a hierarchy between the studied methods will be made, in order to establish the optimal solution.
Hybrid shader for simultaneous edge detection and ambient shading

In this work we present a novel post-processing effect that can be applicable for both edge detection visualization and for emulation of ambient shading. Unlike different classic shaders suitable for these tasks, our effect has single shader code and does both the effects simultaneously: with a certain settings, the same codebase works as the edge detector or an ambient occlusion effect or as both of them at the same time, that is why the shader is useful for rendering of industrial design, architectural works and engineering. The algorithm uses only depth texture without screenspace normal texture and without additional noise texture that is a key component of a rendering pipeline of most of known screenspace ambient occlusion algorithms. The shader consist of 2 stages: standard render pass (that produces scene texture with no lights and shadows) + contours extraction and (or) ambient occlusion pass. Presented algorithm is relatively simpler in number of operations, being more amenable for mobile platforms.
Chaos-Based Communication Systems

The attractive properties of chaos signal that is generated from dynamic systems motivate the researchers to explore the advantage of using this signal type as a carrier in different communication systems. In this chapter, different types of digital chaos–based communication system are discussed; in particular, digital communications where reference signal and its modulated version are transmitted together. This type is called differential coherent systems. Brief surveys on the recently developed systems are presented.