Miracle-dz/UniFAR-FTUs huggingface dataset:
Divisions of Research & Statistics and Monetary Affairs Federal Reserve Board , Washington , D . C . Expectations of Risk and Return Among Household Investors : Are Their Sharpe Ratios Countercyclical ? Gene Amromin and

Data obtained from special questions on the Michigan Survey of Consumer Attitudes over several years are used to analyze stock market beliefs and portfolio choices of household investors. Consistent with other survey results, expected future returns appear to be extrapolated from past realized returns. The data also indicate that expected risk and return are strongly influenced by economic prospects. When investors believe macroeconomic conditions are more expansionary, they tend to expect both higher returns and lower volatility, which implies that household Sharpe ratios are procyclical. Separately, perceived risk in equity returns is found to be strongly influenced by household investor characteristics, consistent with documented behavioral biases. These expectations reported by respondents are given credence by the finding that the proportion of equity holdings in respondent portfolios tends to be higher for those who report higher expected returns and lower uncertainty. Finally, the finding of procyclical expected returns holds up when we instead condition on conventional business cycle proxies such as the dividend yield and CAY, which yields a stark contrast with the inferences from studies based on actual returns. _____________________________________________________________________________________________ *The authors thank Joshua Schwartzstein and Daniel Rawner for outstanding research assistance. We also thank, without implicating, Sean Campbell, Long Chen, Joshua Coval, Dan Covitz, Eric Engstrom, David Laibson, David Marshall, Matt Pritsker, Paul Seguin, Tyler Shumway, Justin Wolfers, Ning Zhu and seminar participants at the Federal Reserve Board, the Chicago Fed, the University of Minnesota, 2005 EFA, the 2005 Wharton Conference on Household Portfolio Choice and Decision-Making, and the 2006 WFA meetings for their comments. All remaining errors are our own. The views expressed in this paper are solely the responsibility of the authors and should not be seen as reflecting the views of the Board of Governors of the Federal Reserve System or of any other employee of the Federal Reserve System. Email addresses for the authors are gamromin@frbchi.org and steve.a. sharpe@frb.gov. ** The previous incarnation of this paper was titled “From the Horse’s Mouth: Gauging Conditonal Stock Returns from Investor Surveys”
Big Data dengan Hadoop

This paper proposes a hadoop scheduler scheme on completing the appropriate job type for Hadoop performance improvement. The suitability of the scheduler type and the type of job done can increase throughput and decrease the average job completion time. The main problem with job execution is the mismatch between the scheduler and the type of job being done. In this paper we have tested several Hadoop scheduler algorithms namely FIFO, Fair, SARS and COSHH scheduler with some kind of job which handled in hadoop environment. The types of jobs that are tested are word count, random text writer and grep. The test is done two scenarios, namely homogeneous job (one type) and heterogeneous (some kind of job) done together. The results show that SARS algorithm suitable for use on job completion which is homogeneous. Meanwhile, COSHH algorithm is suitable for heterogeneous combined job.
On the Ex-Ante Cross-Sectional Relation Between Risk and Return Using Option-Implied Information

This paper examines cross-sectional relations between ex ante expected returns and ex ante betas. As a proxy for ex ante expected returns, we use the implied mean returns obtained from the riskadjusted option pricing model suggested in this paper. We find that ex ante expected returns have a positive and significant cross-sectional relation with ex ante betas in all investment horizons considered. This significant relation is maintained regardless of the inclusion of firm size, bookto-market, and momentum. The cross-sectional regression estimate of ex ante market risk premium has a statistical significance as well as an economic significance in that it contains significant forward-looking information on future macroeconomic conditions. Further, we find that ex ante betas have significant explanatory power for realized ex post returns. A significant relation between ex ante forward returns and forward betas is also found. Other interesting findings are that, in an ex ante world, firm size is still negatively significant, but book-to-market is negatively significant, which is the opposite of the ex post results; also, investors’ ex ante expectation on returns is not predicated on past stock performance. JEL classification: G12, G13, G14
The International Conference on Advanced Wireless , Information , and Communication Technologies ( AWICT 2015 ) Question Answering Systems : Survey and Trends

The need to query information content available in various formats including structured and unstructured data (text in natural language, semi-structured Web documents, structured RDF data in the semantic Web, etc.) has become increasingly important. Thus, Question Answering Systems (QAS) are essential to satisfy this need. QAS aim at satisfying users who are looking to answer a specific question in natural language. In this paper we survey various QAS. We give also statistics and analysis. This can clear the way and help researchers to choose the appropriate solution to their issue. They can see the insufficiency, so that they can propose new systems for complex queries. They can also adapt or reuse QAS techniques for specific research issues. © 2015 The Authors. Published by Elsevier B.V. Peer-review under responsibility of organizing committee of the International Conference on Advanced Wireless, Information, and Communication Technologies (AWICT 2015).
1 . 2 Validated computations for stochastic systems : possible applications

Global dynamics in nonlinear stochastic systems is often difficult to analyze rigorously. Yet, many excellent numerical methods exist to approximate these systems. In this work, we propose a method to bridge the gap between computation and analysis by introducing rigorous validated computations for stochastic systems. The first step is to use analytic methods to reduce the stochastic problem to one solvable by a deterministic algorithm and to numerically compute a solution. Then one uses fixed-point arguments, including a combination of analytical and validated numerical estimates, to prove that the computed solution has a true solution in a suitable neighbourhood. We demonstrate our approach by computing minimum-energy transition paths via invariant manifolds and heteroclinic connections. We illustrate our method in the context of the classical Müller-Brown test potential.
Investigating Machine Learning Methods for Language and Dialect Identification of Cuneiform Texts

Identification of the languages written using cuneiform symbols is a difficult task due to the lack of resources and the problem of tokenization. The Cuneiform Language Identification task in VarDial 2019 addresses the problem of identifying seven languages and dialects written in cuneiform; Sumerian and six dialects of Akkadian language: Old Babylonian, Middle Babylonian Peripheral, Standard Babylonian, Neo-Babylonian, Late Babylonian, and Neo-Assyrian. This paper describes the approaches taken by SharifCL team to this problem in VarDial 2019. The best result belongs to an ensemble of Support Vector Machines and a naive Bayes classifier, both working on character-level features, with macro-averaged F1-score of 72.10%.
An Overview of Imaging Lidar Sensors for Autonomous Vehicles

Imaging lidars are one of the hottest topics in the optronics industry. The need to sense the surroundings of every autonomous vehicle has pushed forward a career to decide the final solution to be implemented. The diversity of state-of-the art approaches to the solution brings, however, a large uncertainty towards such decision. This results often in contradictory claims from different manufacturers and developers. Within this paper we intend to provide an introductory overview of the technology linked to imaging lidars for autonomous vehicles. We start with the main single-point measurement principles, and then present the different imaging strategies implemented in the different solutions. An overview of the main components most frequently used in practice is also presented. Finally, a brief section on pending issues for lidar development has been included, in order to discuss some of the problems which still need to be solved before an efficient final implementation.Beyond this introduction, the reader is provided with a detailed bibliography containing both relevant books and state of the art papers.
Reflector-aided direct locations of multiple signals in the presence of small reflector position biases

Direct position determination (DPD) is a single-step method that localizes transmitters from sensor outputs without computing intermediate parameters. It outperforms conventional two-step localization methods, especially under low signal-to-noise ratio conditions. This article proposes a reflector-aided DPD algorithm for multiple signals of known waveforms received by an array observer. In previous studies, reflector-aided localization has always required very precise locations of reflectors. Therefore, the localization performance depends sensitively on accurately knowing each reflector position. This study considers the presence of small biases in reflector locations. To make the problem tractable, we simplify the signal model through an approximation using the first-order Taylor expansion and then directly localize multiple sources in a decoupled manner. Unlike most DPDs that presume noise is spatially uncorrelated, our study imposes no restriction on the correlation structure of noise, allowing this algorithm to be used in more general scenarios. In addition, we derive the Cramér–Rao bound expression and perform an analysis of the direct locations of multiple signals when the reflector positions are assumed accurate but in fact have small biases. Simulation results corroborate the theoretical results and a good localization performance of the proposed algorithm in the presence of small reflector position biases.
Differences between bone mineral density , lean and fat mass of HIV-positive and HIV-negative black women

Centre of Excellence for Nutrition, North-West University, Potchefstroom, South Africa Medical Research Council Hypertension and Cardiovascular Disease Research Unit, North-West University, Potchefstroom, South Africa Africa Unit for Transdisciplinary Health Research, North-West University, Potchefstroom, South Africa Department of Pharmacology and Clinical Pharmacy, University of the Western Cape, Bellville, South Africa School of Health Sciences, Massey University, Palmerston North, New Zealand *Corresponding author, email: christae19@gmail.com
Effects of Statin Therapy at High Doses versus Low Doses in an Atherosclerotic Rabbit Model

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The Hadean ! 5 Role of zeolites ! 6 Aims ! 6 Materials and methods ! 8 Zeolite characterisation ! 8 Optical microscopy

4 Sammanfattning! 4 Introduction! 5 The Hadean! 5 Role of zeolites! 6 Aims! 6 Materials and methods ! 8 Zeolite characterisation! 8 Optical microscopy! 8 Environmental Scanning Electron Microscopy (ESEM)! 8 Post synthesis Fe-incorporation! 9 PXRD! 9 Fourier Transform Infrared spectroscopy (FTIR)! 9 Specific area BET! 10 Catalytic reaction conditions! 10 Ammonia analysis! 12 C-compounds! 12 Statistics! 13 Results ! 14 ESEM! 14 PXRD! 17 FT-IR! 19 BET! 20 Catalysis! 21 N-analysis! 21 C-Analysis! 22
Impact of substrate on protein content and yield of mushrooms and sclerotia of Pleurotus tuberregium in Nigeria

Fruitbodies of Pleurotus tuberregium are universally used as food while sclerotia are used in Nigeria as food condiment and in medicine. Seven different substrates supplemented with fermented sawdust were used to produce mushrooms and sclerotia of P. tuberregium. Mean dry weights of fruitbodies varied from 0.22 g for mixture of topsoil and fermented sawdust substrate to 3.34 g for mixture of river sand and fermented sawdust substrate, while percentage protein content ranged from 20.59% for fermented sawdust substrate to 25.19% for river sand substrate. The rate of substrate colonization had a significant effect on sclerotium production. The mean dry weight yields varied from 46.26 g for mixture of rice bran and fermented sawdust substrate to 127.48 g for fermented sawdust substrate alone. The highest sclerotial protein content (8.40%) was from mixture of rice bran and fermented sawdust substrate although it was not significantly different from those of other substrates. A mixture of river sand and fermented sawdust substrate is recommended as the best substrate for the production of P. tuberregium mushrooms while a mixture of corn waste and fermented sawdust substrate is recommended for sclerotial production.
Genome Studies of Gene Expression and Alternative Splicing During iPSC Skeletal Muscle Induction and Differentiation

Facioscapulohumeral muscular dystrophy(FSHD) is a disorder characterized by muscle weakness and wasting (atrophy). This disease is typically inherited as autosomal dominant and has a complex genetic and epigenetic etiology. Our collaborator had differentiated healthy human pluripotent stem cells(iPSC) into skeletal muscles and exploited ISO-Seq to explore cell gene expression and transcript alternative splicing usage profile during 8 differentiation stages. Later, stage specific gene differential expression, transcript alternative splicing, gene ontology and novel gene/transcript were analysed to characterize the feature of each stage during the differentiation. In terms of expressed genes with more than or equal to 5 transcripts, each stage had shown their own stage specific features. About transcripts, iPS, S1, ADM.D0, ADM.D4 have about 30% to 40% more total transcripts than the rest 4 stages. 4 kinds of alternative splicing events are generally distributed and S2 stage has the least alternative splicing events potentially due to technical reasons. As for gene differential expressions, ADM.D4 has considerable amount of differential expressed genes with 5 other stages and it has minor difference with ISM.D4 and S3 stages(they are all myotubes cells). The gene ontology analysis is performed according to the results of previous step, stage specific GO terms are revealed.
Media Providers Channel Providers Aggregators Users AD LINKS AD LINKS AD LINKS Ads & Revenue Stream Media Provide URLs Search StreamsVisit Stream

As Internet streaming of live content has gained on traditional cable TV viewership, we have also seen significant growth of free live streaming services which illegally provide free access to copyrighted content over the Internet. Some of these services draw millions of viewers each month. Moreover, this viewership has continued to increase, despite the consistent coupling of this free content with deceptive advertisements and user-hostile tracking. In this paper, we explore the ecosystem of free illegal live streaming services by collecting and examining the behavior of a large corpus of illegal sports streaming websites. We explore and quantify evidence of user tracking via thirdparty HTTP requests, cookies, and fingerprinting techniques on more than 27,303 unique video streams provided by 467 unique illegal live streaming domains. We compare the behavior of illegal live streaming services with legitimate services and find that the illegal services go to much greater lengths to track users than most legitimate services, and use more obscure tracking services. Similarly, we find that moderated sites that aggregate links to illegal live streaming content fail to moderate out sites that go to significant lengths to track users. In addition, we perform several case studies which highlight deceptive behavior and modern techniques used by some domains to avoid detection, monetize traffic, or otherwise exploit their viewers. Overall, we find that despite recent improvements in mechanisms for detecting malicious browser extensions, adblocking, and browser warnings, users of free illegal live streaming services are still exposed to deceptive ads, malicious browser extensions, scams, and extensive tracking. We conclude with insights into the ecosystem and recommendations for addressing the challenges highlighted by this study.
A topological approach to simplification of three-dimensional scalar fields

This paper describes an efficient combinatorial method for simplification of topological features in a 3D scalar function. The Morse-Smale complex, which provides a succinct representation of a function’s associated gradient flow field, is used to identify topological features and their significance. The simplification process, guided by the Morse-Smale complex, proceeds by repeatedly applying two atomic operations that each remove a pair of critical points from the complex. Efficient storage of the complex results in execution of these atomic operations at interactive rates. Visualization of the simplified complex shows that the simplification preserves significant topological features while removing small features and noise.
Postpartum Fertility in Relation to some Antioxidant Activity and Hormonal Profile in Buffaloes

A total of 30 normally calved buffaloes, on day 14 postpartum, were used to study the relationship between fertility status and each of antioxidant activity, follicles (≥ 5mm in diameter) populations and hormonal profiles. The reproductive indices in terms of interval to first heat and first service, Days open and services per conception were calculated. The buffaloes were classified into two groups on the basis of Days open whether it was ≤ 90 days (G1, n=20) or from 91 to 120 (G2, n=10). Ultrasonographic (US) examination was conducted on Day 21 postpartum to check cervical and uterine gravid horn diameter as well asevery 3 days to estimate follicles populations (≥ 5m) during two intervals: from 14 to 20 day and from 21 to 29day postpartum. Blood samples were collected on the Day of the first service for estimating serum concentration of antioxidant activity, Zinc, Selenium and estradiol and on Day 10 of the same cycle to assay serum progesterone concentration. While there was an increase (P<0.01) in the follicles populations on both ipsiand contralateral ovaries in G1 compared with G2 during the interval: 14-20 day, there was an increase in G2 compared with G1 during the interval 21-29. The anti-oxidant activity and Malonaldehyde as well as Zinc and Selenium serum concentrations were higher (P<0.01) in G1 compared with G2. Also serum estradiol concentration on the Day of first service and progesterone on Day 10 of the same cycle were higher in G1 compared with G2.It is concluded that estimating follicular populations beyond Day14 postpartum and antioxidant activity on the day of the first service are predictive for postpartum fertility in buffaloes
00 AM-5 : 00 PM Credit Information System in Albania

The booming lending period and many lenders (16 banks and 21 non-bank financial Institutions in Albania) brought about unprecedented competition in credit markets within Albania. Economists usually view lending and competition favorably, but in Albania resulted in a number of unforeseen non-performing loans. Findings report increased problems of borrower over-indebtedness, reduced loan repayment incentives, and growing debts for lenders (Campion 2001; McIntosh and Wydick 2005). The weakening performance of lenders is due in part to the absence of information sharing in these markets. Because growing numbers of lenders (banks and non-bank financial Institutions in Albania) increase the level of asymmetric information between lenders, credit information systems (often called credit reporting bureaus or credit bureaus) can play a crucial role towards improving credit market performance and, in turn, credit access for the poor. Increases in formal sector lending among the poor have created a need for credit information systems that provide potential lenders with borrower information. Improved screening affects from the system causes the level of non-performing loans to decline. In this paper we will present effects of a credit information system to be implemented in Albania.
National Systems of Innovation and firms ? innovative performance : a comparison between American , Canadian and Chinese firms

This study examines the relationships between the performance of the firms and the perceived importance of the networked relationships with different types of partners, and compares the results for 3 countries, USA, Canada and China. The results show important differences of firms? perception about the importance of different partners for innovative activities, differences based on country of origin. It shows also that different levels of performance are correlated with the same different perceived importance of these partners. The study adopts a less often used bottom-up approach in analyzing different NIS, and it finds important differences between the evaluations that firms allow to various categories of partners, for different sources of knowledge used in innovative activities.
The principal angles and the gap Taslaman

In this note we provide proofs for some known results on the principal angles and the gap between two subspaces of C. Both the principal angles and the gap are introduced with respect to an arbitrary positive definite inner product. We show that the principal angles between two subspaces U and V are unique and prove that the largest one, θmax, satisfies θmax = max u∈U ‖u‖=1 min v∈V ‖v‖=1 ∡(u,v) and sinθmax = gap(U ,V )
A Grey-Box Approach for Predicting the Well Bottom-Hole Pressure in Pressure-Controlled Drilling Operations

Drilling operations require accurate monitoring due to the cost and safety issues involved. In particular, information collected during operations is used by the control systems to regulate and manage the process with the aim of keeping it safe and stable. Given the harsh environmental conditions during drilling, some parameters are either hard to measure directly or their prediction is often unreliable. To overcome such problems, model-based approaches are often used to provide a reliable prediction of the critical parameters based on other correlated and reliable measurements. In this respect, physical or empirical modeling techniques can be adopted. In this paper, a so-called grey-box approach which combines a physical model and an empirical system is proposed to provide highly accurate predictions of the well bottom-hole pressure which is a critical parameter used by the control systems during managed pressure drilling operations. The grey-box approach is applied to real measurements collected at a platform in the North Sea.