Miracle-dz/UniFAR-FTUs huggingface dataset:
Keep Up The Momentum 1 Defining momentum strategies

The momentum risk premium is one of the most important alternative risk premia alongside the carry risk premium. However, it appears that it is not always well understood. For example, is it an alpha or a beta exposure? Is it a skewness risk premium or a market anomaly? Does it pursue a performance objective or a hedging objective? What are the differences between time-series and cross-section momentum? What are the main drivers of momentum returns? What does it mean when we say that it is a convex and not a concave strategy? Why is the momentum risk premium a diversifying engine, and not an absolute return strategy? The goal of this paper is to provide specific and relevant answers to all these questions. The answers can already be found in the technical paper “Understanding the Momentum Risk Premium” published recently by Jusselin et al. (2017). However, the underlying mathematics can be daunting to readers. Therefore, this discussion paper presents the key messages and the associated financial insights behind these results. Among the main findings, one result is of the most importance. To trend is to diversify in bad times. In good times, trend-following strategies offer no significant diversification power. Indeed, they are beta strategies. This is not a problem, since investors do not need to be diversified at all times. In particular, they do not need diversification in good times, because they do not want that the positive returns generated by some assets to be cancelled out by negative returns on other assets. This is why diversification may destroy portfolio performance in good times. Investors only need diversification in bad economic times and stressed markets. This diversification asymmetry is essential when investing in beta strategies like alternative risk premia. On the contrary, this diversification asymmetry is irrelevant when investing in absolute return strategies. However, we know that generating performance with alpha strategies is much more difficult than generating performance with beta strategies. Therefore, beta is beautiful, but convex beta is precious and scarce. Among risk premia, momentum is one of the few strategies to offer this diversification asymmetry. This is why investing in momentum is a decision of portfolio construction, and not a search for alpha.
LR 12 ‐ peptide quantitation in whole blood by RP ‐ HPLC and intrinsic fluorescence detection : Validation and pharmacokinetic study

CITHEFOR, Université de Lorraine, EA 3452, Nancy, France 2 INSERM U1116, Université de Lorraine, Vandœuvre‐lès‐Nancy, France 3 INSERM UMR S970, PARCC, France 4 INOTREM, Vandœuvre‐lès‐Nancy, France Université de Lille 2, Centre Universitaire de Mesures et d’Analyses (CUMA), Lille, France Correspondence I. Clarot, Université de Lorraine, CITHEFOR, EA 3452, Nancy, France. Email: igor.clarot@univ‐lorraine.fr
Comparison of Learning Performance Between Students Who Do and Students Who Do Not Use Mobile Technology-based Activities

This study examined if using mobile technology-based activities would increase student performance in biological science courses. The study compared two groups of students in lectures and labs. Each group had about 20 students. The mobile group had mobile technology-based activities and the non-mobile group received conventional instruction. The mobile group used links to the website, or a QR Code to access the activities. The non-mobile group had handouts and worksheets over the same content. The research methodology for this study was mixed method. The study was a quasi-experimental design that used instruction method as the independent variable between two groups. The study used formative and summative assessment to compare the performance of the mobile group and non-mobile group in lecture and lab. The student in the mobile group had statistically significantly higher lab exam scores than students in the non-mobile group. Additionally, Students were surveyed about their performance expectancy and effort expectancy using mobile technology for learning, and they were asked about their self-management of learning. Analysis indicated that both groups had similar performance and effort expectancy using mobile technology for learning, but the two groups differed on self-management of learning responses to the survey. Focus groups from the mobile group and the non-mobile group were interviewed about issues related to benefits and challenges encountered learning with mobile technology-based activities.
Informal Taxation and Cash Transfers : Experimental Evidence from Kenya

Informal taxation plays an important role in local public good provision in many developing countries, yet little is known about how informal taxation responds to income growth. Informal taxation is implemented by local leaders with better information on household income than the government, so one may expect taxes to be highly responsive. This paper uses exogenous variation in household income from a large-scale randomized controlled trial of a one-time unconditional cash transfer program to study how informal taxation and public goods provision responds to household income shocks. The cash transfer program is both large in scale and perhousehold amounts: almost USD 11 million was distributed to poor households in 653 villages in rural Kenya, and comprise 75 percent of annual consumption expenditure for recipient households. I find the transfers have no effect on household informal tax payments despite the fact local leaders are knowledgable about the households receiving transfers, and no effect on public goods provision. Household formal tax payments increase slightly. Overall, the magnitude of the tax effects are small: I estimate an increase in total taxes of 0.7 to 2.2 percent of the total amount transferred into the study area, depending on the specification used. I find that informal tax payments by recipient households are not based on their (temporarily) higher income from the cash transfers, but instead in line with their pre-treatment income. This flexibility suggests an equity advantage of informal taxation (as compared to formal taxes) in high income-volatility environments. ∗Email: mwwalker@econ.berkeley. edu. Thanks to Justin Abraham, Dennis Egger, Gabriel Ngoga, Meshack Okello, Priscila de Oliveira, Francis Wong and Zenan Wang for excellent research assistance, IPA-Kenya for data collection, and GiveDirectly for collaboration. Thanks to Ted Miguel, Johannes Haushofer, Paul Niehaus, Lauren Falcao Bergquist, Ben Faber, Fred Finan, Supreet Kaur, Monica Singhal, Danny Yagan and seminar participants at the WGAPE Fall 2016 meetings and UC Berkeley for feedback. This work has been funded by the Private Enterprise Development in Low-Income Countries (PEDL) initiative, the International Growth Centre, the Weiss Family Foundation, and an anonymous donor. I gratefully acknowledges financial support from the National Science Foundation Graduate Research Fellowship (Grant No. DGE 1106400).
Progress towards assessing the large-scale impacts of forest fires on runoff erosion across the Pacific Northwest Basic Information

Title: Progress towards assessing the large-scale impacts of forest fires on runoff erosion across the Pacific Northwest Project Number: 2012WA353B Start Date: 3/1/2012 End Date: 2/28/2013 Funding Source: 104B Congressional District: Washington5 Research Category: Climate and Hydrologic Processes Focus Category: Hydrology, Sediments, Climatological Processes Descriptors: None Principal Investigators: Jennifer Adam, Jennifer Adam Publications
Ju l 2 01 8 Vertex Turán problems for the oriented hypercube

In this short note we consider the oriented vertex Turán problem in the hypercube: for a fixed oriented graph −→ F , determine the maximum size exv( −→ F , −→ Qn) of a subset U of the vertices of the oriented hypercube −→ Qn such that the induced subgraph −→ Qn[U ] does not contain any copy of −→ F . We obtain the exact value of exv( −→ Pk, −→ Qn) for the directed path −→ Pk, the exact value of exv( −→ V2, −→ Qn) for the directed cherry −→ V2 and the asymptotic value of exv( −→ T , −→ Qn) for any directed tree −→ T .
Distributed slot synchronization (DSS): a network-wide slot synchronization technique for packet-switched optical networks

Distributed slot synchronization (DSS) is a network-wide packet synchronization technique which coordinates node transmissions so that packets arrive aligned to one another at a reference point in the network, independent of propagation delays. DSS was developed for use in the contention resolution with delay-lines (CORD) project, a DARPA-funded 2.5 Gb/s//spl lambda/, wavelength division multiplexer (WDM) optical packet-switched network testbed. In this implementation, it was experimentally demonstrated that the DSS system, operating with 80 MHz control logic, achieves a packet arrival jitter of less than 13 ns with 12 km node spacings. DSS was also shown to be robust against noise and node failure or fiber breaks. The technique is data rate and format independent and can be used in other star, extended ring, or tree-and-branch network architectures for metropolitan area network (MAN) and access applications.
INITIAL CONCEPT OF COUNTENANCE MODEL BASED ON ANEKA-TRI HITA KARANA IN EVALUATING COMPUTER LEARNING QUALITY AND STUDENTS ’ CHARACTER 1 DEWA

The evaluation of computer learning character and quality that were learned by students (especially student of the vocational school of information technology) are still in very minimum grade currently. The problems arose when teachers assumed that student competencies have able to measured through just in their cognitive abilities, even though student competencies is also supported by the positive character which they have. Based on these, the purpose of this research was to determine the countenance evaluation model that is integrated with the ANEKA concept and the Tri Hita Karana concept, so that it can be used to comprehensively assess of student cognitive abilities and character in computer learning process. The initial location of this research was on one of the vocational school of information technology in Bali Province that was SMK TI Udayana. The subjects that were involved in this research there were four people, those were two informatics engineering experts and two education evaluation experts. This research was carried out for three years using Borg and Gall development method, wherein the first year research was carried out the conceptual development of evaluation model, in the second year the research will make an evaluation application and field testing, while on the third year the research will doing an operational field testing and dissemination of applications which is ready to be used on a wide scale. Especially in this firstyear research, the development of evaluation model’s conceptual design was done used a data collection tool in the form of questionnaires, documentation picture, observation guidelines, and interview guidelines. The data those had been collected then analyzed by using quantitative descriptive analysis techniques. The results of this research indicated the design of countenance evaluation model based on ANEKA-Tri Hita Karana, and those had been tested by experts with effectiveness level of 88%, so it is ready to be used as a basis in making the physical design of the application in the next second-year research.
Cost Effective and Eco-Sustainable Treatment Options for Waste Water Effluents from Pharmaceutical Companies

There is the concern about the occurrence of active pharmaceutical ingredients, solvents, intermediate and raw materials that may be present in water and sanitation, including wastewater, growing interest in the pharmaceutical industry. Traditional methods of water treatment, such as activated sludge, are not sufficient for a complete removal of active pharmaceutical ingredients and other ingredients of sewage water. As a result, they often use complementary therapies such as membrane filtration, reverse osmosis and activated carbon along with traditional methods to treat industrial wastewater. Most of the writings were published so far in the municipal wastewater treatment. However, there is a growing body of research that looks at the proliferation of active pharmaceutical ingredients in the industrial wastewater and liquid waste treatment and removal rates. This article examines the treatments including both traditional methods and advanced oxidation processes. The paper concludes that the problem of waste water treatment can not be easily solved and there is the necessity of removal of critical chemicals from waste water of pharmaceutical industry.
A stochastic runoff model incorporating spatial variability

The volume of catchment discharge that reaches a stream via the overland flow path is critical for water quality prediction, because it is via this pathway that most constituents are generated and transported to the stream channel. Two of the key properties determining this runoff volume are the rainfall rate and the infiltration rate. Both these rates are variable in both space and in time, but it is common to neglect the spatial variability. In this paper we propose a stochastic runoff model that deals explicitly with spatial variability, while neglecting the temporal variability. We use an idealised model for the catchment terrain, which allows us to obtain analytical results. We consider a single hillslope, broken up into a series of parallel and independent strips, perpendicular to the stream edge. Each strip has width and is divided into blocks of length . Consider a single strip, and number the blocks , starting at the top of the slope, and let be the flow of runoff from block to , in . If is the flow of rain falling on block , and the maximum flow of water absorbed by block (both in ), then the runoff-runon phenomena can be expressed as
The Effects of Prescription Drug Cost Sharing on Preventable Hospitalizations : Evidence from the Medicare Modernization Act

This study assesses the impact of reductions in cost sharing for prescription drugs on preventable hospitalizations and outpatient care utilization among the elderly in the United States. In addition to affecting demand for drugs, drug cost sharing can also affect the demand for complement services, such as primary or preventive care. In order to evaluate this possibility, I analyze the effects of varying patient cost sharing for prescription drugs on hospitalizations from ambulatory care sensitive conditions (ACSC), which can represent a failure of preventive and outpatient care. To address endogeneity from selection and sorting of individuals into insurance plans, I aggregate data from the 2000-2009 Medical Expenditure Panel Survey (MEPS) to the region-year level, and use an instrumental variables strategy. The analysis exploits exogenous variation in prescription drug cost sharing that occurred as a result of the Medicare Modernization Act of 2003, and therefore plausibly identifies causal effects of cost sharing. Results show that for the elderly in the United States, who have generous insurance coverage for other outpatient services, reductions in prescription drug cost sharing do not have an effect on hospitalizations related to ambulatory care sensitive conditions, or on specific types of preventive care utilization.
The Effects of Internal factors and Stock Ownership Structure on Dividend Policy on Company ’ s Value [ A Study on Manufacturing Companies Listed on the Indonesia Stock Exchange ( IDX ) ]

This study intends to examine and analyze the effects of internal factors and stock ownership structure on dividend policy and their impacts on company’s value and examine the influence of dividend policy on company’s value. Internal factors cover free cash flow, company size, debt, asset growth, return on equity and financial risk while stock ownership structure cover managerial and institutional stock ownership.The study involved all of the manufacturing companies listed on the Indonesia Stock Exchange (IDX). There are 164 companies, 55 of which were selected using saturation sampling. The sampling was conducted during the sixyear observation periods from 2005 to 2010 totaling 330 observations (6 x 55). The data were analyzed by applying Smart PLS (Partial Least Square). The results showed that: (1) free cash flow and company size have no effect on dividend policy but on company’s value, meaning that free cash flow and company size do not determine dividend policy but company’s value; (2) Return on Equity has no effect on company’s value but on dividend policy, meaning that profitability determines dividend payment; (3) Debt, asset growth and financial risk affect dividend policy and company’s value; (4) Managerial ownership has no effect on dividend policy but on company’s value, while institutional ownership positively and significantly affects dividend payment and company’s value. This indicates that corporate management is a representation of company’s ownership as a company’s control. (5) Dividend policy positively affects company’s value significantly. This result confirmed previous finding concluding that dividend payment has impact on company’s value.
Biocide Potency as Measured by Minimal Inhibitory Concentration * Preservative Pseudomonas aeruginosa Staphylococcus aureus Aspergillus niger Candida albicans

Anthony F. Fransway, MD,* Paulina J. Fransway, BS,† Donald V. Belsito, MD,‡ Erin M. Warshaw, MD,§ Denis Sasseville, MD,|| Joseph F. Fowler, Jr, MD,¶ Joel G. DeKoven, MD,# Melanie D. Pratt, MD,** Howard I. Maibach, MD,†† James S. Taylor, MD,‡‡ James G. Marks, MD,§§ C. G. Toby Mathias, MD,|||| Vincent A. DeLeo, MD,¶¶ J. Matthew Zirwas, MD,## Kathryn A. Zug, MD,*** Amber R. Atwater, MD,††† Jonathan Silverberg, MD,‡‡‡ and Margo J. Reeder, MD§§§
Hand Position Affects Performance on Multiplication Tasks

We investigated whether or not hand placement affects people’s ability to apply learned mathematical information in new and familiar contexts. Participants learned a set of arithmetic facts presented one way (i.e., in a × b = c format) and then were tested on those same facts shown in either a novel format (b × a = __) in Experiment 1 or in the previously-learned format (a × b = __) in Experiment 2. Throughout study and test, participants’ hands were either near to or far from the stimuli. Performance on the novel format was worse when the hands were near compared to far, but performance on the previously-learned format did not depend on hand placement. Together, results indicate that hand proximity impairs mathematical performance when performance depends on the abstracting of conceptual information from sensory information. We conclude that hand placement may be involved in the application of knowledge.
Chapter 2 With Feeling : How Emotions Shape Negotiation

An increasingly popular topic in current research is how emotional expressions influence the course of negotiation and related interactions. Negotiation is a form of social exchange that pits the opposing motives of cooperating and competing against one another. Most negotiators seek to reach an agreement with the other party; they also strive for an agreement that serves their own goals. This dual concern is reflected in a process that consists of both bargaining and problem solving. A good deal of the research and practice literature concentrates on ways to perform these activities effectively. In earlier writing, emotions were viewed largely as factors that impede performance, preventing successful coordination from occurring. More recently, we have learned that emotions can both help and hinder progress. Expressions may convey useful information about preferences; they can also signal dislike or malevolent intentions. Whether emotions move a negotiation forward or backward—or improve/threaten a relationship—depends on a variety of process and context variables. We explore these variables in more depth in this chapter.
Incremental Structure From Restrictive Motion

This paper demonstrates the ability of the Federated Inform ation Sharing filter (FIS) to causally extract 3D structure and camera motion fr m monocular image sequences when the camera motion is singular, ie. restricted to straight trajectories heading to the objects to be modell e . A special Multi-Hypothesis, Bearings-Only, Simultaneous Localisa tion And Mapping scheme based on Extended Kalman Filter is used: its capabili ty of mmediate initialisation of multiple simultaneous landmarks, based on FIS, is the key to cope with the weak observability of the system. All the image processing to extract the pertinent visual information in real time is described. Experimental results show the performance of the proposed m ethods.
The Livelihood Vulnerability Analysis : A Pragmatic Approach to Assessing Risks from Climate Variability and Change — a Case Study Of Livestock Farming In Karnataka , India

Vulnerability is often reflected in the condition of the economic system as well as the socioeconomic characteristics of the population living in that system. Assessment of current vulnerability can be done using a variety of socioeconomic indicators that capture the exposure of the population in concern. The socioeconomic status of a group is closely linked to the adaptive capacity of that particular group. Many factors contribute to social and economic vulnerability including rapid population growth, poverty and hunger, poor health, low levels of educations, gender inequality, social exclusion, fragile, marginal and/or hazardous location, resource degradation, and lack of access to infrastructure, resources and services, including knowledge and technological means. The exposed population has a limited capacity to protect themselves from natural hazards, especially from extreme events such as storms, droughts and floods. They bear the brunt of the consequences of large-scale environmental change, including land degradation, biodiversity loss, and climate change, which affect the welfare of the most vulnerable populations. Over the long term vulnerable populations have to learn to cope with the effects of climate change on their production systems. The Livelihood Vulnerability Index (LVI) was developed to estimate climate vulnerability of livestock farming in Chitradurga and Kolar Districts of Karnataka, India. One hundred and twenty households were surveyed in each district to collect data on sociodemographics, livelihoods, social networks, health, food and water security, natural disasters and climate variability. Data were aggregated using a composite index and differential vulnerabilities were compared. Results suggest that Chitradurga district may be more vulnerable in terms of water resources while Kolar district may be more vulnerable in terms of socio-demographic structure.