Miracle-dz/UniFAR-FTUs huggingface dataset:
Genetic Gain and Inbreeding from Genomic Selection in a Simulated Commercial Breeding Program for Perennial Ryegrass

Genomic selection (GS) provides an attractive option for accelerating genetic gain in perennial ryegrass (Lolium perenne L.) improvement given the long cycle times of most current breeding programs. The present study used simulation to investigate the level of genetic gain and inbreeding obtained from GS breeding strategies compared with traditional breeding strategies for key traits (persistency, yield, and flowering time). Base population genomes were simulated through random mating for 60,000 generations at an effective population size of 10,000. The degree of linkage disequilibrium (LD) in the resulting population was compared with that obtained from empirical studies. Initial parental varieties were simulated to match diversity of current commercial cultivars. Genomic selection was designed to fit into a company breeding program at two selection points in the breeding cycle (spaced plants and miniplot). Genomic estimated breeding values (GEBVs) for productivity traits were trained with phenotypes and genotypes from plots. Accuracy of GEBVs was 0.24 for persistency and 0.36 for yield for single plants, while for plots it was lower (0.17 and 0.19, respectively). Higher accuracy of GEBVs was obtained for flowering time (up to 0.7), partially as a result of the larger reference population size that was available from the clonal row stage. The availability of GEBVs permit a 4‐yr reduction in cycle time, which led to at least a doubling and trebling genetic gain for persistency and yield, respectively, than the traditional program. However, a higher rate of inbreeding per cycle among varieties was also observed for the GS strategy.
Aweight-neutral versus weight-loss approach for health promotion in women with high BMI : A randomized-controlled trial

Weight loss is the primary recommendation for health improvement in individuals with high body mass index (BMI) despite limited evidence of long-term success. Alternatives to weight-loss approaches (such as Health At Every Size e a weight-neutral approach) have been met with their own concerns and require further empirical testing. This study compared the effectiveness of a weightneutral versus a weight-loss program for health promotion. Eighty women, aged 30e45 years, with high body mass index (BMI 30 kg/m2) were randomized to 6 months of facilitator-guided weekly group meetings using structured manuals that emphasized either a weight-loss or weight-neutral approach to health. Health measurements occurred at baseline, post-intervention, and 24-months post-randomization. Measurements included blood pressure, lipid panels, blood glucose, BMI, weight, waist circumference, hip circumference, distress, self-esteem, quality of life, dietary risk, fruit and vegetable intake, intuitive eating, and physical activity. Intention-to-treat analyses were performed using linear mixed-effects models to examine group-by-time interaction effects and between and within-group differences. Group-by-time interactions were found for LDL cholesterol, intuitive eating, BMI, weight, and dietary risk. At post-intervention, the weight-neutral program had larger reductions in LDL cholesterol and greater improvements in intuitive eating; the weight-loss program had larger reductions in BMI, weight, and larger (albeit temporary) decreases in dietary risk. Significant positive changes were observed overall between baseline and 24-month follow-up for waist-tohip ratio, total cholesterol, physical activity, fruit and vegetable intake, self-esteem, and quality of life. These findings highlight that numerous health benefits, even in the absence of weight loss, are achievable and sustainable in the long term using a weight-neutral approach. The trial positions weight-neutral programs as a viable health promotion alternative to weight-loss programs for women of high weight. © 2016 Elsevier Ltd. All rights reserved. The prevailing paradigm in clinical medicine and public health focuses on weight management as a key determinant of health promotion and chronic disease prevention. This paradigm guides the clinical recommendations made by health professionals for individuals with a body mass index over 30 kg/m2 (hereafter ry Street, MS 9503, 3 Parkway ollege of Nursing and Health
From Program Recipients to Social-Change Agents: Identifying Influential Elementary School Students for Participation in School-Improvement Efforts

FROM PROGRAM RECIPIENTS TO SOCIAL-CHANGE AGENTS: IDENTIFYING INFLUENTIAL ELEMENTARY SCHOOL STUDENTS FOR PARTICIPATION IN SCHOOL-IMPROVEMENT EFFORTS by Christopher J. Reiger Increasingly, researchers are recognizing children as relevant stakeholders and engaging them in efforts to address school and community problems (e.g., bullying). Often, these efforts take the form of participatory action research (PAR), an approach in which adults support young people as they identify a problem, research it, and develop possible interventions. To date, no literature exists to guide researchers and practitioners (e.g., educators and school-based clinicians) as to whom among a group of child stakeholders one might recruit for participation in PAR efforts. The most precise methods for identifying influential individuals, also known as key opinion leaders, are those that provide a mapping of an entire social network (i.e., sociometric methods). However, these methods are by nature both labor-intensive and time-consuming. As a result, they fail to be feasible methods of identifying key opinion leaders for program implementers who are interested in utilizing network members’ influence but whose resources remain limited. A mixed method exploratory study compared peer nominations of influential students associated with existing social groups with nominations provided by teachers. The results revealed that teachers were successful at identifying the same influential members of the following social groups: Elite, Academic, and Athlete. However, teachers failed to identify the same influential member of the Deviant group. The current results have important implications for the development of a brief yet more informative teacher report measure as a viable tool. FROM PROGRAM RECIPIENTS TO SOCIAL-CHANGE AGENTS: IDENTIFYING INFLUENTIAL ELEMENTARY SCHOOL STUDENTS FOR PARTICIPATION IN SCHOOL-IMPROVEMENT EFFORTS
Factors related to self-efficacy among men and women undergoing outpatient chemotherapy in Japan.

OBJECTIVE This study aims to examine factors that influence self-efficacy in Japanese patients with cancer receiving outpatient chemotherapy and to identify whether there are gender-specific similarities or differences that determine self-efficacy in this setting. METHODS A cross-sectional survey was conducted among 156 patients with cancer (86 men and 70 women) undergoing chemotherapy as outpatients across five hospitals in Japan. The patients completed the European Organization for Research and Cancer Core Quality of Life questionnaire (EORTC QLQ-C30), the Self-Efficacy for Advanced Cancer questionnaire (SEAC) which consists of three subscales (affect regulation efficacy, symptom-coping efficacy and activities of daily living efficacy), and a patient information form. Multiple regression analysis was conducted to identify factors associated with self-efficacy in men and women. RESULTS In both men and women, insomnia was related to affect regulation efficacy, while fatigue and nausea/vomiting correlated with activities of daily living efficacy. For male patients, fatigue and nausea/vomiting also correlated with affect regulation efficacy and symptom-coping efficacy. Emotional functioning influenced self-efficacy for both genders, while physical functioning affected self-efficacy in female patients only. CONCLUSIONS These results suggest that to enhance self-efficacy in Japanese patients with cancer undergoing outpatient chemotherapy, effective intervention is required with regard to the management of both emotional and physical functioning, specifically symptoms such as fatigue, nausea/vomiting and insomnia in both genders. Furthermore, women with a reduced level of physical function may require particular attention, as they may be at risk of lower levels of self-efficacy.
Knowledge Creation and Dissemination in Operations and Supply Chain Management

During the last 25 years, the ecosystem of knowledge creation and dissemination in operations and supply chain management has improved remarkably. We now see OM as a vibrant community and an ecosystem in steady state. Yet, there are many opportunities ahead to revitalize our field and to expand our influence. In the spirit of continuous improvement, we propose that we focus our major efforts on accelerating the following four developments: First, having greatly expanded the domain of operations management, we should continue to expand its boundaries. Second, after a visible increase in exploratory studies, our community should accelerate our pursuit of such research. Third, we encourage OM faculty to develop programs that enable Ph.D. students to carry out part of their work in actual organizational settings. Fourth, we should further strengthen our interactions with the business community and create mechanisms to systematically disseminate our research to its members.
Efficient TCAD methodology for ESD failure current prediction of smart power ESD protection

This work deals with a method to predict ESD protection robustness with TCAD simulations. Tested on different devices and two smart power technologies, the results are validated with electrical measurement and failure analysis. Failure current is always predicted with a good accuracy compared to technology spreading. In addition, the methodology provides a significant simulation time speedup compared to classical methods based on a temperature criterion.
Cardiovascular Reactivity to Psychological Challenge: Conceptual and Measurement Considerations

Objective and Methods This article is a selective review of recent findings bearing on the conceptualization and measurement of cardiovascular reactivity to psychological challenge, with a focus on several issues relevant to the reliability, content validity, construct validity, and criterion validity of these measures. Results and Conclusions With respect to reliability, use of standardized task demands and aggregated scores are associated with enhanced short-term reliability, but the long-term reliability of cardiovascular reactivity has not been sufficiently documented. With respect to content validity, existing evidence suggests that “vascular” or “cardiac” tasks may evoke responses that reflect similar distributions of individual difference, whereas associations between responses to “physical” and “psychological” tasks are modest. The evidence is not clear at present with respect to the importance of including affective or interpersonal stimuli as part of trait reactivity assessments. With respect to construct validity, existing data show that cardiovascular reactivity to psychological challenge is largely independent of standard measures of autonomic function. With respect to criterion validity, recent studies point to a number of methodological limitations that may have restricted our ability to detect lab-to-life generalizability of reactivity measures in the past. Continued progress in understanding and measuring reactivity as an individual difference dimension is essential in helping us to evaluate emerging evidence examining the relationship between reactivity and disease risk.
Estimating the Job Impacts of Environmental Regulation

In the face of strong policy interest in the possible regulation–jobs linkage and weak analytical evidence to support a generalizable conclusion, what should a regulatory agency like the Environmental Protection Agency do in a regulatory impact analysis (RIA)? Initially, an RIA should start with a clear concept of what the regulatory agency is trying to estimate. Much of the popular debate is looking for a total job effect. Yet one thing we do know is that, in aggregate, there will not be a net job change unless the economy deviates from its normal rate of full employment. The gist of our literature review suggests that looking to historic data for stable statistical relationships between regulatory spending and job changes, even in a single industry, is tenuous at best. However, the intuition is relatively easy to trace out with certain assumptions: (1) added costs imply added activity that entails added jobs; (2) higher product prices or other regulatory limits imply less production that entails fewer jobs. Taking an average employment rate per dollar of relevant economic activity, coupled with an assumed demand elasticity, these effects can be multiplied out into job changes, although such simple calculations must be tested by validating key assumptions or exploring the estimates sensitivity to alternatives. New estimates by Belova, Gray, Linn and Morgenstern [(2013a). Environmental Regulation And Industry Employment: A Reassessment. Center for Economic Studies, U.S. Census Bureau Discussion Paper, CES 1336, July. ] indicate that extending and expanding the widely cited approach by Morgenstern, Pizer and Shih [(2002). Jobs Versus the Environment: An Industry-Level Perspective. Journal of Environmental Economics and Management, 43, 412–436] is unlikely to be successful. Finally, more effort is needed to inform the public about the potential job impacts of new regulations, especially the distinction of these impacts from long-term technological and economic trends.
Comparison of Full Versus Partial Metabolic Labeling for Quantitative Proteomics Analysis in Arabidopsis thaliana*S

In recent years a variety of quantitative proteomics techniques have been developed, allowing characterization of changes in protein abundance in a variety of organisms under various biological conditions. Because it allows excellent control for error at all steps in sample preparation and analysis, full metabolic labeling using 15N has emerged as an important strategy for quantitative proteomics, having been applied in a variety of organisms from yeast to Arabidopsis and even rats. However, challenges associated with complete replacement of 14N with 15N can make its application in many complex eukaryotic systems impractical on a routine basis. Extending a concept proposed by Whitelegge et al. (Whitelegge, J. P., Katz, J. E., Pihakari, K. A., Hale, R., Aguilera, R., Gomez, S. M., Faull, K. F., Vavilin, D., and Vermaas, W. (2004) Subtle modification of isotope ratio proteomics; an integrated strategy for expression proteomics. Phytochemistry 65, 1507–1515), we investigate an alternative strategy for quantitative proteomics that relies upon the subtle changes in isotopic envelope shape that result from partial metabolic labeling to compare relative abundances of labeled and unlabeled peptides in complex mixtures. We present a novel algorithm for the automated quantitative analysis of partial incorporation samples via LC-MS. We then compare the performance of partial metabolic labeling with traditional full metabolic labeling for quantification of controlled mixtures of labeled and unlabeled Arabidopsis peptides. Finally we evaluate the performance of each technique for comparison of light- versus dark-grown Arabidopsis with respect to reproducibility and numbers of peptide and protein identifications under more realistic experimental conditions. Overall full metabolic labeling and partial metabolic labeling prove to be comparable with respect to dynamic range, accuracy, and reproducibility, although partial metabolic labeling consistently allows quantification of a higher percentage of peptide observations across the dynamic range. This difference is especially pronounced at extreme ratios. Ultimately both full metabolic labeling and partial metabolic labeling prove to be well suited for quantitative proteomics characterization.
A Stochastic Cash Balance Model with Two

IN A RECENT PAPER G. D. Eppen and E. F. Fama [3] develop a discrete cash balance model with proportional transaction costs using a dynamic programming formulation (denoted as the EF-model). The uncontrollable cash flows are assumed to have a discrete stationary probability distribution. The cash balance is adjusted by selling or buying some earning assets, presumably short-term marketable securities. The model assumes that the cash balance may become negative, i.e., the firm operates under an automatic bank account overdraft situation as found in many countries-which, however, is not the usual situation in the United States. If Bn denotes the cash balance carried forward from the previous period, and Un and D. denote return points for period n, the optimal solution of the EF-model can be characterized as follows: if Bn < U. : increase the cash balance to Un if Un < Bn < D. : do not change the cash balance if Dn < Bn: decrease the cash balance to Dn. This paper proposes to generalize the EF-model to cash balance situations where 1. No bank account overdrafts are possible. Attempts to overdraw the account result in a cash shortage cost. 2. Two different sources of short-term funds are available each with different transaction costs. 3. The probability distribution of cash flows is not necessarily stationary. 4. The length of the cash balance review periods may vary from period to period. '
Antiviral Effect and Ex Vivo CD4+ T Cell Proliferation in HIV-Positive Patients as a Result of CD28 Costimulation

Because stimulation of CD4+ lymphocytes leads to activation of human immunodeficiency virus-type 1 (HIV-1) replication, viral spread, and cell death, adoptive CD4+ T cell therapy has not been possible. When antigen and CD28 receptors on cultured T cells were stimulated by monoclonal antibodies (mAbs) to CD3 and CD28 that had been immobilized, there was an increase in the number of polyclonal CD4+ T cells from HIV-infected donors. Activated cells predominantly secreted cytokines associated with T helper cell type 1 function. The HIV-1 viral load declined in the absence of antiretroviral agents. Moreover, CD28 stimulation of CD4+ T cells from uninfected donors rendered these cells highly resistant to HIV-1 infection. Immobilization of CD28 mAb was crucial to the development of HIV resistance, as cells stimulated with soluble CD28 mAb were highly susceptible to HIV infection. The CD28-mediated antiviral effect occurred early in the viral life cycle, before HIV-1 DNA integration. These data may facilitate immune reconstitution and gene therapy approaches in persons with HIV infection.
How to Learn Klingon without a Dictionary: Detection and Measurement of Black Keywords Used by the Underground Economy

Online underground economy is an important channel that connects the merchants of illegal products and their buyers, which is also constantly monitored by legal authorities. As one common way for evasion, the merchants and buyers together create a vocabulary of jargons (called "black keywords" in this paper) to disguise the transaction (e.g., "smack" is one street name for "heroin" [1]). Black keywords are often "unfriendly" to the outsiders, which are created by either distorting the original meaning of common words or tweaking other black keywords. Understanding black keywords is of great importance to track and disrupt the underground economy, but it is also prohibitively difficult: the investigators have to infiltrate the inner circle of criminals to learn their meanings, a task both risky and time-consuming. In this paper, we make the first attempt towards capturing and understanding the ever-changing black keywords. We investigated the underground business promoted through blackhat SEO (search engine optimization) and demonstrate that the black keywords targeted by the SEOers can be discovered through a fully automated approach. Our insights are two-fold: first, the pages indexed under black keywords are more likely to contain malicious or fraudulent content (e.g., SEO pages) and alarmed by off-the-shelf detectors, second, people tend to query multiple similar black keywords to find the merchandise. Therefore, we could infer whether a search keyword is "black" by inspecting the associated search results and then use the related search queries to extend our findings. To this end, we built a system called KDES (Keywords Detection and Expansion System), and applied it to the search results of Baidu, China's top search engine. So far, we have already identified 478,879 black keywords which were clustered under 1,522 core words based on text similarity. We further extracted the information like emails, mobile phone numbers and instant messenger IDs from the pages and domains relevant to the underground business. Such information helps us gain better understanding about the underground economy of China in particular. In addition, our work could help search engine vendors purify the search results and disrupt the channel of the underground market. Our co-authors from Baidu compared our results with their blacklist, found many of them (e.g., long-tail and obfuscated keywords) were not in it, and then added them to Baidu's internal blacklist.
Superconducting Interfaces Between Insulating Oxides

At interfaces between complex oxides, electronic systems with unusual electronic properties can be generated. We report on superconductivity in the electron gas formed at the interface between two insulating dielectric perovskite oxides, LaAlO3 and SrTiO3. The behavior of the electron gas is that of a two-dimensional superconductor, confined to a thin sheet at the interface. The superconducting transition temperature of ≅ 200 millikelvin provides a strict upper limit to the thickness of the superconducting layer of ≅ 10 nanometers.
Flexible, efficient and robust real-time communication with server-based Ethernet Switching

The information exchanged in Networked Embedded Systems is steadily increasing in quantity, size, complexity and heterogeneity, with growing requirements for arbitrary arrival patterns and guaranteed QoS. One of the networking protocols that is becoming more common in such systems is Ethernet and its real-time Ethernet variants. However, they hardly support all the referred requirements in an efficient manner since they either favour determinism or throughput, but not both. A potential solution recently proposed by the authors is the Server-SE protocol that uses servers to confine traffic associated to specific applications or subsystems. Such an approach is dynamically reconfigurable and adaptive, being more bandwidth efficient while providing composability in the time domain. This paper proposes integrating the servers inside the Ethernet switch, boosting both the flexibility and the robustness of Server-SE, allowing, for example, the seamless connection of any Ethernet node. The switch is an FTT-enabled Ethernet Switch and the paper discusses two specific ways of integrating the servers, namely in software or in hardware. These options are described and compared analytically and experimentally. The former favours flexibility in the servers design and management while the latter provides lower latency.