Miracle-dz/UniFAR-FTUs huggingface dataset:
Diffusing Explosive Portfolio Performance Evaluation of High Frequency Traders

Several analysts report explosive annualized Sharpe Ratios (ASRs) for investment portfolio performance evaluation of high frequency traders (HFTers) ranging from 4.3 to 5,000. This suggests that the profitability of HFT is much higher than that of other actively managed portfolios. In highly competitive financial markets where ASRs for experienced traders are often much less than 2, those numbers imply that the ASR for HFT is misspecified. Thus, HFT performance is incomparable to the performance of experienced traders, hedge funds, and other actively managed portfolios. This paper addresses the misspecification problem by introducing an efficient Sharpe Ratio (ESR) that diffuses explosive ASRs for HFT so that they are comparable to SRs for other actively managed funds. We derive a subordinate stochastic process for HFT strategy which jumps positively only when the trader executes a successful trade or stays flat otherwise. We apply the ESR formula to a sample of risk and return data on HFT strategy, and find that the ESR for aggressive HFT is 1.15, medium HFT is 2.88, and passive HFT is 1.43. For the HFT industry as a whole the ESR is between 1.07 and 1.87. Those ESRs for HFT are equivalent to SRs reported for experienced traders, hedge funds multistrategy, convertible option arbitrage, and fund of fund strategies. Thus, contrary to reports, the profitability of HFT is in line with industry norms for active portfolio management.
Peptide antagonists inhibit proliferation and the production of IL-4 and/or IFN-gamma in T helper 1, T helper 2, and T helper 0 clones bearing the same TCR.

Engagement of a TCR by its peptide Ag bound by MHC class II molecules leads to T cell activation, resulting in proliferation and cytokine production. This agonist response can be antagonized by analogue peptides containing single amino acid substitutions. We used T cell clones isolated from a mouse transgenic for the rearranged TCR alpha- and beta-chains of the D10.G4. 1 (D10) Th2 clone specific for hen egg conalbumin peptide 134-146 (CA 134-146) to characterize antagonist peptides for the D10.TCR. The D10.TCR CD4 T cell clones proliferated in a dose-dependent manner to CA 134-146, and this proliferation was accompanied by secretion of IL-4 and/or IFN-gamma with Th1, Th2, and Th0 patterns. Proliferation of the clones was inhibited completely by CA 134-146 analogue peptides containing a substitution of the glutamic acid at position 8 with alanine (E8A) or threonine (E8T). The E8A and E8T peptides also antagonized the production of mRNA and subsequent cytokine secretion of IFN-gamma and/or IL-4. Our results, showing that antagonist peptides can inhibit both T cell proliferation and cytokine production in Th1, Th2, and Th0 clones all bearing the same TCR, demonstrate that the TCR:peptide interaction determines the outcome regardless of the phenotype of the clone. Thus, antagonism by peptides acts through the TCR.
Simulation Research of Applying Two-dimensional Empirical Mode Decomposition on Image Feature Extraction

The edge feature extraction of image is one of the research fields of image processing theory and application. The traditional methods of image feature extraction are simple and proficient, but the accurate performance of the feature extracted is not even higher. As such, a new method for extracting image edge feature was proposed by using the two-dimensional Empirical Mode Decomposition (2-D EMD) and Riesz Transform. Firstly, the image was decomposed to multi-level Intrinsic) Mode Function (IMF) by 2-D EMD, and then the Riesz Transform with stronger local preserving ability was used for analyzing their local properties instead of the Hilbert Transform, by which the edge feature extraction with higher resolution was carried on. Finally, simulation shows that the proposed method is feasible and valid.
A direct demonstration of recombination between an injected virus and endogenous viral sequences, resulting in the generation of mink cell focus-inducing viruses in AKR mice

We analyzed viral recombination events that occur during the preleukemic period in AKR mice. We tagged a molecular chimera between the nonleukemogenic virus Akv and the leukemogenic mink cell focus-inducing (MCF) virus MCF 247 with an amber suppressor tRNA gene, supF. We injected the supF-tagged chimeric virus that contains all of the genes of MCF 247 except the envelope gene, which in turn is derived from Akv, into newborn AKR mice to evaluate its pathogenic potential. Approximately the same percentage of animals developed leukemia with similar latent periods when injected with either the tagged or nontagged virus. DNA from tumors induced in AKR mice by the tagged chimeric virus was analyzed by Southern blotting with the supF gene as a probe. One set of tumors contained the injected supF-tagged virus. Two kinds of supF-tagged proviruses were found in a second set of tumors. One group of supF-tagged viruses had a restriction map consistent with that of the injected virus, while the other group of proviruses had restriction maps that suggested that the proviruses had acquired an MCF virus-like envelope gene by recombination with endogenous viral sequences. These results demonstrate that injected viruses recombine in vivo with endogenous viral sequences. Furthermore, the progression to leukemia was accelerated in mice that develop tumors containing proviruses with an MCF virus env gene, emphasizing the importance of the role of the MCF virus env gene product in transformation.
How to Profit From a Better ¿Virtual Customer Environment¿

Many companies have established technology-based platforms or virtual customer environments to partner with their customers in innovation and value creation. In pursuing such initiatives, most companies seem to focus primarily on customers? innovative contributions, paying limited attention to customers? interaction experiences in the VCE. But the VCE experience has broader and more profound implications ? particularly for customer relationship management. In this article, the authors offer a framework to help companies understand and evaluate customers? VCE experience profile. The authors describe five customer roles in innovation and value cocreation: product conceptualizer, product designer, product tester, product support specialist and product marketer. Each role has something to offer. However, depending on the customer innovation role, the nature of the customer interactions and the technologies used in the VCE will vary. The VCE customer experience is made up of four components: the pragmatic experience (its ability to provide information), the sociability experience (how it promotes group discussion), the usability experience (defined by the quality of the human-computer interactions) and the hedonic experience (relating to mental stimulation and entertainment). Drawing on examples from companies including Microsoft, SAP, Samsung, BMW, Volvo and Ducati, the authors suggest strategies and practices to enhance customer experiences in VCEs and ensure favorable outcomes in terms of both innovation management and customer relationship management. Designing and implementing the right system can help companies improve innovation and customer relationship management. Therefore, managers should view their VCE initiatives as an integral part of their overall innovation and customer strategies. What? s more, the costs of implementation can vary widely. Therefore, companies need to be careful about selecting and implementing a portfolio of strategies and practices that meets the needs of the types of customers they want to engage in value cocreation.
Indicators for Community Action: Built Environment and Community Health

Recently a collaborative project between a university, a provincial statistical agency, and a non-profit service organization worked to identify built environment indicators for local action and planning around community health. The research involved developing appropriate built environment indicators for active recreation and transportation, and testing them for community usefulness and data availability in several communities in Nova Scotia, Canada. The indicators will be added to an online community database managed by the provincial government. By making province-wide indicator data easily and publicly available, governments have the potential to facilitate local initiatives to improve community health and well-being. In this paper we describe the process of identifying indicators that would let communities identify whether their built environment promotes active recreation and active transportation.
Choosing the Company You Keep: Racial Relational Demography Outside and Inside of Work

Individuals can differ on demographic characteristics, such as race, from those with whom they interact. This relational demography can lead to poor affiliative outcomes at work when individuals are assigned to work together. However, relationships between dissimilar individuals that occur by choice and develop naturally over time may be of higher quality than those that occur due to structural causes, such as being put together in a work group. In this study, we focus on racial dissimilarity in choice relationships both outside and inside of work and find that greater racial heterogeneity in choice relationships outside of work is related to positive affiliative outcomes at work, such as trust in supervisor and extra-role behaviors, through its effects on relationships inside of the workplace. This has implications for the research on choice and relational demography in organizations, suggesting that relational demography that is a function of choice has benefits for affiliative outcomes at work and that relational demography that is a function of assignment or structure does not. This also contributes to the literature on boundary spanning suggesting that one's pattern of relational demography of relationships outside of the workplace can spillover and relate to the relationships one develops inside the workplace.
A comparison of feature descriptors using monocular thermal camera images

This study investigates the rotational invariance of various image features extracted from monocular thermal and photo camera images that can be used for robot navigation. In addition to the conventional SIFT, SURF, ORB, AKAZE, and BRIEF image features, a new non-Gaussian binary feature descriptor is introduced using Levy-Laplace probability density functions. The rotational, viewpoint and noise invariance of all features are compared.
Exploring Socio-Cognitive Factors Contributing to Knowledge Transfer

This study explores the socio-cognitive factors that contribute to effective knowledge transfer. In addition to socio-cognitive factors, this study will also explore two other oft-researched antecedents to knowledge transfer knowledge characteristics and organisational culture, and investigate how socio-cognitive factors play a part in these relationships. The results show that socio-cognitive interactions between knowledge senders and receivers play an important contributing factor towards effective knowledge transfer, and can also act as an important intervening variable in the relationship between knowledge characteristic and knowledge transfer, as well as the relationship between organisation culture and knowledge transfer.
Application of Hellison's Teaching Personal and Social Responsibility Model in Physical Education to Improve Self-Efficacy for Adolescents at Risk of Dropping-out of School

This study evaluated improvement in self-efficacy and personal and social responsibility among at-risk of dropping-out of school adolescents participating in a program in which Hellison's Teaching Personal and Social Responsibility Model was applied in physical education classes during the course of an academic year. Thirty at-risk adolescents aged 13-14 years old (23 boys, 7 girls) were assigned to an intervention group (12 boys and 3 girls) or a comparison group (11 boys, 4 girls), the latter of which did not participate in the program. Quantitative results showed a significant improvement in the students' self-efficacy for enlisting social resources and in self-efficacy for self-regulated learning. Qualitative results showed an improvement in responsibility behaviors of participants in the intervention group. This suggests that the model could be effective for improving psychological and social development in at-risk adolescents, and that physical education classes may be an appropriate arena for working with these young people. Este estudio evaluó la mejora en autoeficacia y responsabilidad personal y social de un grupo de adolescentes en riesgo de abandono escolar que participaron en un programa basado en el Modelo de Enseñanza de Responsabilidad Personal y Social de Hellison, durante las clases de educación física, a lo largo de un curso académico. La muestra estuvo compuesta por treinta adolescentes de 13 a 14 años de edad (23 chicos, 7 chicas). De ellos, 12 chicos y 3 chicas fueron asignados a un grupo de intervención, y 11 chicos y 4 chicas formaron el grupo de comparación, los cuales no participaron en el programa. Los resultados cuantitativos mostraron una mejora significativa en la autoeficacia de los alumnos para conseguir recursos sociales y en la autoeficacia para el aprendizaje autorregulado. Los análisis cualitativos mostraron que los alumnos del grupo de intervención apreciaron mejoras en su conducta responsable y en la responsabilidad de sus iguales. Esto sugiere que el modelo puede ser efectivo para mejorar el desarrollo psicológico y social de los adolescentes en riesgo, y que las clases de educación física pueden ser un marco apropiado para trabajar con estos jóvenes.
Price Discovery Model with Gray Periodic Incidence Judged on Slope Methodologies

Agricultural future is the first listing of futures in the world, which was introduced by Chicago Exchange Market one hundred years ago. Agricultural future is still the mainstream of China’s futures market today, and it is a natural response to information technology analysis and price discovery of agricultural futures. Different from general price discovery measures, this paper produced methodologies with gray periodic incidence judged on slope to measure discovery of the largest trading volume soybean futures with HS300 Index Futures based on high frequencies data. It shows that our model result is consistent with the general model, but is superior on dynamic discovery model.
Prod is a novel DNA-binding protein that binds to the 1.686 g/cm(3) 10 bp satellite repeat of Drosophila melanogaster.

The proliferation disrupter (prod) gene of Drosophila melanogaster encodes a novel protein associated with centromeric chromosomal regions that is required for chromatin condensation and cell viability. We have examined the binding of the Prod protein to DNA in vitro. Co-immunoprecipitation experiments demonstrate that Prod is a DNA-binding protein that specifically recognizes the 10 bp AGAATAACAT satellite repeat of D.melanogaster. Footprinting experiments show that the protein interacts with a 5-8 bp target sequence in each 10 bp repeat and suggest that it can mediate condensation of this satellite into a superhelix. Gel retardation experiments indicate that Prod does not have a well defined DNA-binding domain and it binds the satellite in a co-operative manner, probably forming Prod multimers. Since Prod localizes to both heterochromatin and euchromatin in vivo, we discuss the possibility that the ability of pre-existing euchromatic proteins to bind DNA in a co-operative manner, might be a prerequisite of satellite compaction and satellite amplification, thereby providing a basic factor in heterochromatin evolution.
Global Leadership in a University Setting

What is global leadership? How can we develop global leadership for a university? This study was conducted using the qualitative approach through in-depth interviews of eight selected top leaders in a selected university. Based on the in-depth interviews, the findings discussed are as follows; Global leadership is related to diversity. Global leaders need to be developed with additional competencies to lead a university and to be able to compete worldwide. Global leadership has to operate in diverse situations. This means that a global leader has to understand different cultures, different ideas and different beliefs. So a global leader has to understand leading in diversity, which requires a different set of competencies. These include attitudes, skills and knowledge. This study is significant because it fills a gap in current knowledge regarding the experience that leaders perceived to be important in understanding and developing global leadership. DOI: 10.5901/mjss.2016. v7n2p353
Transmission imaging for integrated PET-MR systems

Attenuation correction for PET-MR systems continues to be a challenging problem, particularly for body regions outside the head. The simultaneous acquisition of transmission scan based μ-maps and MR images on integrated PET-MR systems may significantly increase the performance of and offer validation for new MR-based μ-map algorithms. For the Biograph mMR (Siemens Healthcare), however, use of conventional transmission schemes is not practical as the patient table and relatively small diameter scanner bore significantly restrict radioactive source motion and limit source placement. We propose a method for emission-free coincidence transmission imaging on the Biograph mMR. The intended application is not for routine subject imaging, but rather to improve and validate MR-based μ-map algorithms; particularly for patient implant and scanner hardware attenuation correction. In this study we optimized source geometry and assessed the method’s performance with Monte Carlo simulations and phantom scans. We utilized a Bayesian reconstruction algorithm, which directly generates μ-map estimates from multiple bed positions, combined with a robust scatter correction method. For simulations with a pelvis phantom a single torus produced peak noise equivalent count rates (34.8 kcps) dramatically larger than a full axial length ring (11.32 kcps) and conventional rotating source configurations. Bias in reconstructed μ-maps for head and pelvis simulations was ⩽4% for soft tissue and ⩽11% for bone ROIs. An implementation of the single torus source was filled with 18F-fluorodeoxyglucose and the proposed method quantified for several test cases alone or in comparison with CT-derived μ-maps. A volume average of 0.095 cm−1 was recorded for an experimental uniform cylinder phantom scan, while a bias of <2% was measured for the cortical bone equivalent insert of the multi-compartment phantom. Single torus μ-maps of a hip implant phantom showed significantly less artifacts and improved dynamic range, and differed greatly for highly attenuating materials in the case of the patient table, compared to CT results. Use of a fixed torus geometry, in combination with translation of the patient table to perform complete tomographic sampling, generated highly quantitative measured μ-maps and is expected to produce images with significantly higher SNR than competing fixed geometries at matched total acquisition time.
Energy requirements for maintenance of crossbred beef cattle with different genetic potential for milk.

Maintenance energy requirements were estimated in two gestation and one lactation feeding trials for three groups of cows. All cows in the second gestation trial completed the first gestation and lactation trials. The three groups were chosen to represent cattle similar in growth rate and mature size but different in amount of milk provided to their calves. The low (L) group included Hereford x Angus, the medium (M) group included Red Poll x Angus and the high (H) group included Milking Shorthorn x Angus cows. Cows were individually fed to maintain net body weight (minus gravid uterus for gestation) constant. Allowances were made in energy intake for gestation and lactation. Cow weights were adjusted to an average condition score in each trial. Daily maintenance requirements during gestation were 18% lower than those during lactation. The H and M cows required 12% more energy per unit metabolic weight than L cows to maintain body weight during both gestation and lactation. Differences in milk production explained 23% of the variation in maintenance requirements, suggesting that important differences exist beyond those associated with milk production potential. Repeatabilities of maintenance requirement measurements ranged from . 44 to . 64. Maintenance requirements for calves under feedlot conditions in the postweaning phase were estimated from data collected from 494 calves, half-sibs and offspring of the cows described previously. Energy requirements were 11% higher for the H and M groups than for the L group.
FINGERPRINT: Summarizing Cluster Evolution in Dynamic Environments

Monitoring and interpretation of changing patterns is a task of paramount importance for data mining applications in dynamic environments. While there is much research in adapting patterns in the presence of drift or shift, there is less research on how to maintain an overview of pattern changes over time. A major challenge is summarizing changes in an effective way, so that the nature of change can be understood by the user, while the demand on resources remains low. To this end, the authors propose FINGERPRINT, an environment for the summarization of cluster evolution. Cluster changes are captured into an "evolution graph," which is then summarized based on cluster similarity into a fingerprint of evolution by merging similar clusters. The authors propose a batch summarization method that traverses and summarizes the Evolution Graph as a whole and an incremental method that is applied during the process of cluster transition discovery. They present experiments on different data streams and discuss the space reduction and information preservation achieved by the two methods.
The NIH Big Data to Knowledge (BD2K) initiative

Understanding the human condition is a Big Data problem. This statement is nicely illustrated by the articles that follow from seven of the Centers for Data Excellence that have been funded by the National Institutes of Health (NIH) Big Data to Knowledge (BD2K) initiative. BD2K is a trans-NIH program, funded by all Institutes and Centers at NIH as well as the NIH Common Fund; it is overseen by the NIH Office of Data Science within the NIH Office of the Director. The beginnings of BD2K have been described previously,1 and the purpose here is to provide an overall context, from …