Miracle-dz/UniFAR-FTUs huggingface dataset:
Equity in Effort: The "Sucker Effect" in Co-Acting Groups

This research investigates the effects of negative social cues on worker quantitative task performance, internal work motivation, and job satisfaction. Negative social cues may create an effect similar to a class of social dilemma phenomena in small groups known as the "sucker effect. " The sucker effect was originally identified as a particular form of social loafing and stems from the perceptions that others in the group are withholding, or intend to withhold, effort. Individuals who hold this perception then withhold effort themselves to avoid being played for a "sucker" Although most social loafing research has examined the sucker effect in situations where individuals performed additive or disjunctive tasks, this experimental research investigates the degree to which the sucker effect occurs among individuals working in co-acting groups. Two common managerial strategies, goal setting and punishment, are examinedfor their ability to reduce the sucker effect. The results show that the sucker effect does occur in co-acting groups and that both punishment and goal setting may be used to reduce it. Further, goal setting was a more effective strategy than punishment.
Salivary microRNAs Show Potential as a Noninvasive Biomarker for Detecting Resectable Pancreatic Cancer

Early surgery is vital in the treatment of pancreatic cancer, which is often fatal. However, there is currently no useful noninvasive biomarker to screen for pancreatic cancer. Studies have documented that many salivary molecules can be used to detect systemic diseases. We investigated whether salivary miRNAs are useful biomarkers for detecting resectable pancreatic cancer. Using an Agilent microarray, salivary miRNAs were profiled from saliva samples of 8 patients with resectable pancreatic cancer and 8 healthy controls. Candidate biomarkers identified in the profiles were subjected to validation using quantitative PCR and an independent sample set of 40 patients with pancreatic cancer, 20 with benign pancreatic tumors (BPT), and 40 healthy controls. The validated salivary miRNA biomarkers were evaluated within three discriminatory categories: pancreatic cancer versus healthy control, pancreatic cancer versus BPT, and pancreatic cancer versus noncancer (healthy control + BPT). miR-3679-5p showed significant downregulation in the pancreatic cancer group within the three categories (P = 0.008, 0.007, and 0.002, respectively), whereas miR-940 showed significant upregulation in pancreatic cancer (P = 0.006, 0.004, and 0.0001, respectively). Logistic regression models combining the two salivary miRNAs were able to distinguish resectable pancreatic cancer within the three categories, showing sensitivities of 72.5%, 62.5%, and 70.0% and specificities of 70.0%, 80.0%, and 70.0%, respectively. Salivary miR-3679-5p and miR-940 possess good discriminatory power to detect resectable pancreatic cancer, with reasonable specificity and sensitivity. This report provides a new method for the early detection of pancreatic cancer and other systemic diseases by assessing salivary miRNAs. Cancer Prev Res; 8(2); 165–73. ©2014 AACR.
Top-down particle filtering for Bayesian decision trees

Decision tree learning is a popular approach for classification and regression in machine learning and statistics, and Bayesian formulations--which introduce a prior distribution over decision trees, and formulate learning as posterior inference given data-- have been shown to produce competitive performance. Unlike classic decision tree learning algorithms like ID3, C4.5 and CART, which work in a top-down manner, existing Bayesian algorithms produce an approximation to the posterior distribution by evolving a complete tree (or collection thereof) iteratively via local Monte Carlo modifications to the structure of the tree, e.g., using Markov chain Monte Carlo (MCMC). We present a sequential Monte Carlo (SMC) algorithm that instead works in a top-down manner, mimicking the behavior and speed of classic algorithms. We demonstrate empirically that our approach delivers accuracy comparable to the most popular MCMC method, but operates more than an order of magnitude faster, and thus represents a better computation-accuracy tradeoff.
An analysis of the relationship between the linear hammer speed and the thrower applied forces during the hammer throw for male and female throwers

The purpose of this study was to investigate the relationship between the cable force and linear hammer speed in the hammer throw and to identify how the magnitude and direction of the cable force affects the fluctuations in linear hammer speed. Five male (height: 1.88 ± 0.06 m; body mass: 106.23 ± 4.83 kg) and five female (height: 1.69 ± 0.05 m; body mass: 101.60 ± 20.92 kg) throwers participated and were required to perform 10 throws each. The hammer's linear velocity and the cable force and its tangential component were calculated via hammer head positional data. As expected, a strong correlation was observed between decreases in the linear hammer speed and decreases in the cable force (normalised for hammer weight). A strong correlation was also found to exist between the angle by which the cable force lags the radius of rotation at its maximum (when tangential force is at its most negative) and the size of the decreases in hammer speed. These findings indicate that the most effective way to minimise the effect of the negative tangential force is to reduce the size of the lag angle.
COLOR‐PATTERN VARIATION IN LAKE ERIE WATER SNAKES: PREDICTION AND MEASUREMENT OF NATURAL SELECTION

A classic example of natural selection, that of color‐pattern variation in Lake Erie island populations of water snakes, was reexamined to overcome shortcomings resulting from classification of snakes into discrete color‐pattern categories and use of cross‐sectional data. Four continuously varying color‐pattern components (DB, the number of dorsal blotches; LB, the number of lateral blotches; ROWS, the height of lateral blotches measured in scale rows; and VEXT, the extent of ventral pigmentation) were analyzed. Patterns of natural selection were predicted from the relationship between color‐pattern scores and independent measures of relative crypsis. Tests for natural selection were carried out using longitudinal data on neonate to juvenile‐aged snakes and cross‐sectional data on juvenile to adult‐aged snakes. As predicted, the form of selection differed between younger and older age classes of snakes: selection resulted in a reduction in DB and LB among neonate and juvenile snakes but had little influence on color‐pattern components in older snakes. The correspondence between observed patterns of natural selection and predictions based on the relationship between color‐pattern scores and relative crypsis supports the hypothesis that differential predation by visual predators on younger age classes of snakes is the mechanism of selection. Gene flow from mainland populations or the initial lack of an allele necessary for reduced pattern may explain why selection has not resulted in greater differentiation between island and mainland populations.
Halogen bonding for rational drug design and new drug discovery

Introduction: A large number of drugs and drug candidates in clinical development contain halogen substituents. For a long time, only the steric and lipophilic contributions of halogens were considered when trying to exploit their effects on ligand binding. However, the ability of halogens to form stabilizing interactions, such as halogen bonding, hydrogen bonding and multipolar interactions, in biomolecular systems was revealed recently. Halogen bonding, the non-covalent interaction in which covalently bound halogens interact with Lewis bases, has now been utilized in the context of rational drug design. Areas covered: The purpose of this review is to show how halogen bonding could be used in drug design, and in particular, to stimulate researchers to apply halogen bonding in lead optimization. This review article covers the recent advances relevant to halogen bonding in drug discovery and biological design over the past decade, including database survey of this interaction in protein–ligand complexes, molecular mechanical investigations of halogen bonding in drug discovery and applications of this interaction in the development of halogenated ligands as inhibitors and drugs for protein kinases, serine protease factor Xa, HIV reverse transcriptase and so on. Expert opinion: Halogen bonding should intentionally be used as a powerful tool, comparable with hydrogen bonding, to enhance the binding affinity and also influence the binding selectivity. Rational design of new and potent inhibitors against therapeutic targets through halogen bonding continues to be an exciting area, which will be further elucidated with the combination of various experimental techniques and theoretical calculations in the forthcoming years.
Motion Planning for a Mobile Manipultor Based on Joint Motions for Error Recovery

This paper describes motion planning for a mobile manipulator which works in real environment. Mobile manipulators that can manipulate an object was developed up to now. We assume that object grasping is not restricted to just one grasp way and robot can move freely as far as it is in its operational area of the object. This paper proposes the motion planning for object grasping under the previous explained conditions. There are two major issues to detect the robot pose. The first problem is pose error of the robot hand. The second problem is kinematical redundancy of the mobile manipulator. The pose is evaluated from the amount of joint motions for recovery of hand pose error. Experiments show the effectiveness of the proposed method.
The Role of Radiation Therapy in Malignant Thymoma: A Surveillance, Epidemiology, and End Results Database Analysis

Introduction: The potential benefits and long-term complications of radiotherapy treatment for malignant thymoma are unclear. This is a retrospective analysis of outcome in patients with malignant thymoma from the Surveillance, Epidemiology, and End Results database between 1973 and 2005. Methods: Of the 1987 patients identified, 1334 were analyzed. Patients were categorized according to the Masaoka staging system as stage I to IIA, IIB or III to IV. The primary end points were overall survival, cardiac mortality, and the development of secondary malignancies. Results: Patients received surgery and radiation (50%), surgery alone (26%), radiation alone (12%), or no treatment (12%). The median follow-up time for survivors was 65 months (range, 1–361 months). There was no significant increase in the 12-year cumulative incidence rate of death from heart disease (10.2% radiation versus 7.5% no radiation, p = 0.83) or incidence of secondary malignancies (11.7% versus 12.4%, p = 0.70) with radiation. Compared with surgery alone, adjuvant radiation significantly improved overall survival in patients with stage III to IV disease (p = 0.04) and demonstrated a nonsignificant trend in patients with stage IIB disease (p = 0.09). However, after excluding patients surviving less than 4 months to account for surgical mortality, the benefit with radiation was no longer significant (stage IIB: p = 0.45, stage III–IV: p = 0.44). Conclusions: Radiation does not seem to increase the risk of cardiac mortality or secondary malignancy in patients with malignant thymoma. Although the routine use of postoperative radiotherapy in malignant thymoma does not appear warranted, high-risk patients may benefit from adjuvant radiation. This study can help to design prospective trials to further establish the role of radiotherapy in malignant thymoma.
Programming Exercises Evaluation Systems - An Interoperability Survey

Learning computer programming requires solving programming exercises. In computer programming courses teachers need to assess and give feedback to a large number of exercises. These tasks are time consuming and error-prone since there are many aspects relating to good programming that should be considered. In this context automatic assessment tools can play an important role helping teachers in grading tasks as well to assist students with automatic feedback. In spite of its usefulness, these tools lack integration mechanisms with other eLearning systems such as Learning Management Systems, Learning Objects Repositories or Integrated Development Environments. In this paper we provide a survey on programming evaluation systems. The survey gathers information on interoperability features of these systems, categorizing and comparing them regarding content and communication standardization. This work may prove useful to instructors and computer science educators when they have to choose an assessment system to be integrated in their e-Learning environment.
Numerical Hydrodynamics and Magnetohydrodynamics in General Relativity

This article presents a comprehensive overview of numerical hydrodynamics and magneto-hydrodynamics (MHD) in general relativity. Some significant additions have been incorporated with respect to the previous two versions of this review (2000, 2003), most notably the coverage of general-relativistic MHD, a field in which remarkable activity and progress has occurred in the last few years. Correspondingly, the discussion of astrophysical simulations in general-relativistic hydrodynamics is enlarged to account for recent relevant advances, while those dealing with general-relativistic MHD are amply covered in this review for the first time. The basic outline of this article is nevertheless similar to its earlier versions, save for the addition of MHD-related issues throughout. Hence, different formulations of both the hydrodynamics and MHD equations are presented, with special mention of conservative and hyperbolic formulations well adapted to advanced numerical methods. A large sample of numerical approaches for solving such hyperbolic systems of equations is discussed, paying particular attention to solution procedures based on schemes exploiting the characteristic structure of the equations through linearized Riemann solvers. As previously stated, a comprehensive summary of astrophysical simulations in strong gravitational fields is also presented. These are detailed in three basic sections, namely gravitational collapse, black-hole accretion, and neutron-star evolutions; despite the boundaries, these sections may (and in fact do) overlap throughout the discussion. The material contained in these sections highlights the numerical challenges of various representative simulations. It also follows, to some extent, the chronological development of the field, concerning advances in the formulation of the gravitational field, hydrodynamics and MHD equations and the numerical methodology designed to solve them. To keep the length of this article reasonable, an effort has been made to focus on multidimensional studies, directing the interested reader to earlier versions of the review for discussions on one-dimensional works.
The Expert Witness: Lessons from the U.S. Experience

The first section of this paper explains why assessing the worth of expert testimony poses special epistemological difficulties. The second traces the history of the various rules and procedures by means of which the U.S. legal system has tried to ensure, or at least control, the quality of the expert testimony on which it so often relies — from the Frye Rule, the Federal Rules of Evidence, and the Daubert trilogy to recent constitutional cases regarding the appearance of forensic witnesses in court and experiments with court-appointed experts and scientific education for judges. The third and final section suggests some lessons to be learned from the limited success of these efforts, and explores what might be better strategies going forward.
Microvesicle Cargo of Tumor-Associated MUC1 to Dendritic Cells Allows Cross-presentation and Specific Carbohydrate Processing

Rughetti and colleagues show that unlike soluble glycoprotein antigens, MUC1 carried by microvesicles translocates from the endolysosomal/HLA-II to the HLA-I compartment, deglycosylates, and generates novel glycoepitopes for presentation by dendritic cells to MUC1-specific CD8+ T cells stimulating IFNγ responses. Tumor-associated glycoproteins are a group of antigens with high immunogenic interest: The glycoforms generated by the aberrant glycosylation are tumor-specific and the novel glycoepitopes exposed can be targets of tumor-specific immune responses. The MUC1 antigen is one of the most relevant tumor-associated glycoproteins. In cancer, MUC1 loses polarity and becomes overexpressed and hypoglycosylated. Changes in glycan moieties contribute to MUC1 immunogenicity and can modify the interactions of tumor cells with antigen-presenting cells such as dendritic cells that would affect the overall antitumor immune response. Here, we show that the form of the MUC1 antigen, i.e., soluble or as microvesicle cargo, influences MUC1 processing in dendritic cells. In fact, MUC1 carried by microvesicles translocates from the endolysosomal/HLA-II to the HLA-I compartment and is presented by dendritic cells to MUC1-specific CD8+ T cells stimulating IFN-γ responses, whereas the soluble MUC1 is retained in the endolysosomal/HLA-II compartment independently by the glycan moieties and by the modality of internalization (receptor-mediated or non–receptor mediated). MUC1 translocation to the HLA-I compartment is accompanied by deglycosylation that generates novel MUC1 glycoepitopes. Microvesicle-mediated transfer of tumor-associated glycoproteins to dendritic cells may be a relevant biologic mechanism in vivo contributing to define the type of immunogenicity elicited. Furthermore, these results have important implications for the design of glycoprotein-based immunogens for cancer immunotherapy. Cancer Immunol Res; 2(2); 177–86. ©2013 AACR.
Optimizing Statistical Information Extraction Programs over Evolving Text

Statistical information extraction (IE) programs are increasingly used to build real-world IE systems such as Alibaba, CiteSeer, Kylin, and YAGO. Current statistical IE approaches consider the text corpora underlying the extraction program to be static. However, many real-world text corpora are dynamic (documents are inserted, modified, and removed). As the corpus evolves, and IE programs must be applied repeatedly to consecutive corpus snapshots to keep extracted information up to date. Applying IE from scratch to each snapshot may be inefficient: a pair of consecutive snapshots may change very little, but unaware of this, the program must run again from scratch. In this paper, we present CRFlex, a system that efficiently executes such repeated statistical IE, by recycling previous IE results to enable incremental update. As the first step, CRFlex focuses on statistical IE programs which use a leading statistical model, Conditional Random Fields (CRFs). We show how to model properties of the CRF inference algorithms for incremental update and how to exploit them to correctly recycle previous inference results. Then we show how to efficiently capture and store intermediate results of IE programs for subsequent recycling. We find that there is a tradeoff between the I/O cost spent on reading and writing intermediate results, and CPU cost we can save from recycling those intermediate results. Therefore we present a cost-based solution to determine the most efficient recycling approach for any given CRF-based IE program and an evolving corpus. We conduct extensive experiments with CRF-based IE programs for 3 IE tasks over a real-world data set to demonstrate the utility of our approach.
Linkages and Interactions Analysis of Major Effect Drought Grain Yield QTLs in Rice

Quantitative trait loci conferring high grain yield under drought in rice are important genomic resources for climate resilient breeding. Major and consistent drought grain yield QTLs usually co-locate with flowering and/or plant height QTLs, which could be due to either linkage or pleiotropy. Five mapping populations used for the identification of major and consistent drought grain yield QTLs underwent multiple-trait, multiple-interval mapping test (MT-MIM) to estimate the significance of pleiotropy effects. Results indicated towards possible linkages between the drought grain yield QTLs with co-locating flowering and/or plant height QTLs. Linkages of days to flowering and plant height were eliminated through a marker-assisted breeding approach. Drought grain yield QTLs also showed interaction effects with flowering QTLs. Drought responsiveness of the flowering locus on chromosome 3 (qDTY3.2) has been revealed through allelic analysis. Considering linkage and interaction effects associated with drought QTLs, a comprehensive marker-assisted breeding strategy was followed to develop rice genotypes with improved grain yield under drought stress.
Systemic autoimmune disease arises from polyclonal B cell activation

The number of B cells producing antibodies reactive with any of seven autoantigens or two conventional antigens was compared at the single- cell level to the total number of Ig-secreting B cells present in the spleens of NZB, MRL lpr/lpr, and BXSB autoimmune mice. The proportion of lymphocytes producing antibodies of each specificity, expressed as a percentage of the total B cell repertoire, was virtually identical among autoimmune and congenic nonautoimmune animals. Furthermore, B cells and serum antibodies reactive with conventional antigens increased commensurately with those reactive with autoantigens. These results indicate that systemic autoimmune diseases arise from polyclonal B cell activation.
Strategies adopted by Turkish adults for increasing happiness in daily life

The present study aims to focus on the strategies adopted by adults in seeking ways to increase happiness in their daily life and to determine whether or not significant differences exist between happiness levels in adults at the very beginning and the end of a four-month period. Sixty-eight adults who were found eligible were included in this study. The research method is of a mixed type. The distinguishing feature of this study is the experience sampling method employed. Positive–Negative Affect and Satisfaction with Life Scales, an experience sampling data form and a personal information form were used in the study. The study results show that adults adopt various strategies in order to get rid of their unhappiness and increase their happiness in three contexts. No statistical significance could be determined between the measurements achieved at the beginning and at the end of the study into the happiness of the participants.
Re-examinging the Wall of Separation: A Cross-National Study of Religious Pluralism and Democracy

Abstract Mutual autonomy between religious and state institutions is often seen as a key ingredient for democratization. Yet, there are a large number of democracies with an established religion. If a separation of church and state is desirable for the maintenance of a stable democracy, then why do so many democracies continue to support religious institutions and practices? As the evidence from this study reveals, the difference between democracies and non-democracies does not depend on a wall of separation between church and state, but instead, on the protection of religious freedom for minority groups and the promotion of secular legislation.