Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards the Analysis of Software Projects Dependencies: An Exploratory Visual Study of Software Ecosystems

Software systems are rarely developed in isolation. The development of current complex software systems often makes extensive use of components previously developed or acquired from external suppliers. Nevertheless, research on software systems has traditionally considered each system as an isolated and self-contained project. Such characteristic limits the quality of observations on studies as they do not consider the software ecosystem in which the project is inserted. In this paper we present an ongoing work that aims to enable the analysis of software ecosystems from both technical and sociotechnical perspectives. The novelty of our approach lies in the usage of interactive visualizations to facilitate uncovering relationships among software projects within an ecosystem.
Maximization of Network Survival Time in the Event of Intelligent and Malicious Attacks

It is not possible to ensure that a network is absolutely secure. Therefore, network operators must continually change their defense strategies to counter attackers who constantly seek new ways to compromise networks. However, as defense resources are limited, it is essential that network operators devise effective resource allocation strategies to maximize the survival time of critical/core nodes under attack. In this paper, the problem of effective resource allocation is analyzed as a mixed, nonlinear, integer programming optimization problem. To solve this complex problem, we propose an effective solution approach based on Lagrangean relaxation and the subgradient method. The efficiency and effectiveness of the proposed heuristic are evaluated by computational experiments.
Social rejection as a mediating variable in the link between stereotype threat and math performance.

SOCIAL REJECTION AS A MEDIATING VARIABLE IN THE LINK BETWEEN STEREOTYPE THREAT AND MATH PERFORMANCE FEBRUARY 2005 DARREN J. A. YOPYK, B.A., PRINCETON UNIVERSITY M.S., UNIVERSITY OF MASSACHUSETTS AMHERST Directed by: Professor Ronnie Janoff-Bulman This research examined the impact of stereotype threat on academic performance in students at a highly-selective liberal arts college, as well as whether athlete status, various dimensions of self-esteem, and rejection-sensitivity moderate this effect. It also examined two potential mediating variables to the stereotype-threat math performance link, namely mood and perceived social rejection. Ninety-one students (46 athletes and 45 non-athletes) were recruited to participate in a study on personality and problemsolving. Participants were randomly assigned to read one oftwo reading comprehension passages (priming athlete status or a control), and then complete a brief math test. Results indicated that athletes who received the athlete status prime performed significantly worse on a math test than those who received the control prime. Moreover, the negative effects of athlete status prime were moderated by both general self-esteem, with athletes low in SE showing the most debilitating effects, and academic SE, with student-athletes high in academic SE showing the most debilitating effects. Although neither positive nor negative mood was associated with the threat manipulation, perceived social rejection from faculty partially mediated the link between stereotype
Estimation of the Percentage of US Patients With Cancer Who Benefit From Genome-Driven Oncology

Importance To date, the benefit of genome-driven cancer therapy has not been quantified. Objective We sought to estimate the annual percentage of patients in the United States with advanced or metastatic cancer who could be eligible for and benefit from US Food and Drug Administration (FDA)-approved genome-driven therapy from 2006 to 2018. Design, Setting, and Participants Retrospective cross-sectional study using publically available data of (1) demographic characteristics of patients with advanced or metastatic cancer; (2) FDA data on cancer drugs approved from January 2006 through January 2018; (3) measures of response and duration of response from drug labels; and (4) published reports estimating the frequency of various genomic aberrations used to estimate what percentage of patients would have been eligible for and would have benefited from genome-driven therapy during the studied period. Main Outcomes and Measures Estimated percentage of US patients with cancer eligible for and benefiting from genome-targeted and genome-informed therapy by year, response rate of genome-informed indications, and duration of response. Results A total of 31 drugs with 38 FDA-approved indications met our inclusion criteria for genome-targeted or genome-informed therapy from January 1, 2006, through January 31, 2018. The estimated number of patients eligible for genome-targeted therapy in 2006 was 28 729 of a total 564 830 patients with metastatic cancer, or 5.09% (95% CI, 5.03%-5.14%). By 2018, this number had increased to 50 811 of 609 640, or 8.33% (95% CI, 8.26%-8.40%). For genome-informed therapy in 2006, the eligible number of patients was 59 301 of 564 830, or 10.50% (95% CI, 10.42%-10.58%). In 2018, genome-informed treatment could be offered to 94 157 of 609 640, or 15.44% (95% CI, 15.35%-15.53%) of patients with metastatic cancer. The percentage of patients with cancer estimated to benefit from genome-targeted therapy in 2006 was 0.70% (95% CI, 0.68%-0.72%), and in 2018, it had increased to 4.90% (95% CI, 4.85%-4.95%). For genome-informed treatment in 2006, the percentage estimated to benefit was 1.31% (95% CI, 1.28%-1.34%), and in 2018, it had increased to 6.62% (95% CI, 6.56%-6.68%). The median overall response rate for all genome-informed drugs through January 2018 was 54%, and the median duration of response was 29.5 months. Conclusions and Relevance Although the number of patients eligible for genome-driven treatment has increased over time, these drugs have helped a minority of patients with advanced cancer. To accelerate progress in precision oncology, novel trial designs of genomic therapies should be developed, and broad portfolios of drug development, including immunotherapeutic and cytotoxic approaches, should be pursued.
FULLY DISCRETE APPROXIMATION OF A THREE COMPONENT CAHN-HILLIARD MODEL.

In this paper, we investigate numerical schemes for solving a three component Cahn- Hilliard model. The space discretization is performed by using a Galerkin formulation and the finite element method. For the time discretization, the main difficult y is to write a scheme ensuring, at the discrete level, the decrease of the energy. We study three different schemes and propose existence and convergence theorems. Theoretical results are illustrated by the simulations of a spreading lens between two stratified phases.
Predictors for compliance with community directed ivermectin treatment in Bushenyi district of Uganda: qualitative results.

OBJECTIVE To understand and elicit the factors influencing compliance with mass treatment with ivermectin for onchocerciasis control with a view of suggesting remedial measures. DESIGN Qualitative methods using focus group discussion and individual key informant interviews. SETTING Bushenyi district, Uganda. PARTICIPANTS Fifty key informants who were local council chairpersons and community directed drug distributors (CDDs) for ivermectin. Five focus group discussions with community members. MAIN OUTCOME MEASURES Explored knowledge about onchocerciasis and its treatment, consequences, benefits and perceived dangers of treatment with ivermectin. In addition the FGDs elicited information regarding social influence towards ivermectin treatment and who the source of social influences are. Perceived barriers and supports towards ivermectin treatment were also explored. The key informant interviews mainly elicited the problems they face in ivermectin distribution and their suggestions for improvement. RESULTS Factors that could possibly influence mass treatment with ivermectin that were elicited include consequences of treatment, programme organization, charging for ivermectin distribution and programme/community support to the ivermectin drug distributors. CONCLUSIONS These results are helpful in redirecting community education and in helping to design further quantitative research.
Polyphenol (-)-Epigallocatechin Gallate during Ischemia Limits Infarct Size Via Mitochondrial KATP Channel Activation in Isolated Rat Hearts

Polyphenol (-)-epigallocatechin gallate (EGCG), the most abundant catechin of green tea, appears to attenuate myocardial ischemia/reperfusion injury. We investigated the involvement of ATP-sensitive potassium (KATP) channels in EGCG-induced cardioprotection. Isolated rat hearts were subjected to 30 min of regional ischemia and 2 hr of reperfusion. EGCG was perfused for 40 min, from 10 min before to the end of index ischemia. A nonselective KATP channel blocker glibenclamide (GLI) and a selective mitochondrial KATP (mKATP) channel blocker 5-hydroxydecanoate (HD) were perfused in EGCG-treated hearts. There were no differences in coronary flow and cardiodynamics including heart rate, left ventricular developed pressure, rate-pressure product, +dP/dtmax, and -dP/dtmin throughout the experiments among groups. EGCG-treatment significantly reduced myocardial infarction (14.5±2.5% in EGCG 1 µM and 4.0±1.7% in EGCG 10 µM, P<0.001 vs. control 27.2±1.4%). This anti-infarct effect was totally abrogated by 10 µM GLI (24.6±1.5%, P<0.001 vs. EGCG). Similarly, 100 µM HD also aborted the anti-infarct effect of EGCG (24.1±1.2%, P<0.001 vs. EGCG ). These data support a role for the KATP channels in EGCG-induced cardioprotection. The mKATP channels play a crucial role in the cardioprotection by EGCG.
Characterization of the Borna disease virus phosphoprotein, p23

Borna disease virus infection is diagnosed by the presence of serum antibodies reactive with the major viral proteins, p40 and p23. Although p40 and p23 are unrelated in amino acid sequence structure, cross-reactive antibodies are described. Protein fragments and synthetic peptides were analyzed to characterize the specificities of antibodies to p23. Epitope mapping revealed eight continuous epitopes accessible on the surface of a predicted structural model for the monomeric and the disulfide-linked dimeric forms of p23. None of these epitopes was reactive with antibodies to p40. Cross-reactivity with monospecific sera and monoclonal antibodies to p40 was found for one discontinuous epitope located at the amino terminus of p23.
Observation of a single-beam gradient force optical trap for dielectric particles.

Optical trapping of dielectric particles by a single-beam gradient force trap was demonstrated for the first reported time. This confirms the concept of negative light pressure due to the gradient force. Trapping was observed over the entire range of particle size from 10 μm to ~25 nm in water. Use of the new trap extends the size range of macroscopic particles accessible to optical trapping and manipulation well into the Rayleigh size regime. Application of this trapping principle to atom trapping is considered.
Does Sleep Improve Your Grammar? Preferential Consolidation of Arbitrary Components of New Linguistic Knowledge

We examined the role of sleep-related memory consolidation processes in learning new form-meaning mappings. Specifically, we examined a Complementary Learning Systems account, which implies that sleep-related consolidation should be more beneficial for new hippocampally dependent arbitrary mappings (e.g. new vocabulary items) relative to new systematic mappings (e.g. grammatical regularities), which can be better encoded neocortically. The hypothesis was tested using a novel language with an artificial grammatical gender system. Stem-referent mappings implemented arbitrary aspects of the new language, and determiner/suffix+natural gender mappings implemented systematic aspects (e.g. tib scoiffesh + ballerina, tib mofeem + bride; ked jorool + cowboy, ked heefaff + priest). Importantly, the determiner-gender and the suffix-gender mappings varied in complexity and salience, thus providing a range of opportunities to detect beneficial effects of sleep for this type of mapping. Participants were trained on the new language using a word-picture matching task, and were tested after a 2-hour delay which included sleep or wakefulness. Participants in the sleep group outperformed participants in the wake group on tests assessing memory for the arbitrary aspects of the new mappings (individual vocabulary items), whereas we saw no evidence of a sleep benefit in any of the tests assessing memory for the systematic aspects of the new mappings: Participants in both groups extracted the salient determiner-natural gender mapping, but not the more complex suffix-natural gender mapping. The data support the predictions of the complementary systems account and highlight the importance of the arbitrariness/systematicity dimension in the consolidation process for declarative memories.
Development of a robotic teaching interface for human to human skill transfer

The tutor-tutee hand-in-hand teaching may be the most effective approach for a tutee to acquire new motor skills. Repetitive nature of such procedures in a group setting usually results in a high labour cost and time inefficiency. Potential solution can be utilizing robotic platforms playing the role of tutors for demonstrating and transferring the required skills. This requires an appropriate guidance scheme to integrate the tutor's motor functionalities into the robot's control architecture. For instance, for hand-in-hand supervision of the writing task, the tutor's corrections can be applied when necessary, while a very compliant motion can be achieved if no errors are detected. Inspired by this behavior, we develop a teaching interface using a dual-arm robotic platform. In our setup, one arm is connected to the tutees arm providing guidance through a variable stiffness control approach, and the other to the tutor to capture the motion and to feedback the tutees performance in a haptic manner. The reference stiffness for the tutors arm stiffness is estimated in real-time and replicated by the tutees robotic arm. Comparative experiments have been carried out on a dual-arm Baxter robot. The results imply that the human tutor is able to intuitively transfer writing skills to the tutee and also show superior learning performance over over some conventional teaching by demonstration techniques.
Transforming Straight Guilt Into Collective Action for LGBs via Close Cross-Group Friendships

In the current study, I tested a gender-moderated process model to explain when members of one relatively privileged group are oriented toward collective action for the rights of a relatively disadvantaged group. My model integrated three factors—gender, collective guilt, and close cross-group friendships—to explain collective action. I expected that among women collective guilt would not directly increase collective action, but having more close friendships with members of a disadvantaged group, an other-focused experience, would override the self-focused experience of collective guilt, and redirect guilt toward collective action. I tested the predictions in the context of lesbian, gay, and bisexual (LGB) rights. The sample of 85 undergraduates who self-identified as straight was racially diverse and ranged from 17 to 41 years old. Participants reported collective guilt, the extent of close friendships with people who are LGB, and their willingness to engage in collective action for LGB rights. Among women who are straight, but not among straight men, close cross-group friendships mediated the relation between collective guilt and collective action. I discuss the moderating role of gender, implications for research, and limitations. I suggest that winning the hearts and minds of the relatively privileged in support of social change may require that activists and policy makers understand the psychological relationships those individuals have with the members of disadvantaged groups.
Parallel discrete event simulation on shared-memory multiprocessors

This paper describes the implementation and the performance study of three parallel discrete event simulation methods on a shared memory machine. These methods, which share a single user interface, include the Chandy-Misra paradigm with deadlock avoidance; the Time Warp approach with direct, aggressive, and lazy cancellation; and a hybrid approach, which exploits the parallelism available at each point in simulated time. In this study the authors also examine the impact of task-partitioning and of processor self-scheduling on the efficient implementation of the above methods. Two kinds of systems are simulated: a synchronous multiprocessor machine and an asynchronous toroid network with FCFS server nodes. The performance of the implemented methods is discussed, and conclusions are drawn from the obtained results. <<ETX>>
A Study on the Structure of Workplace Incivility in China

Using the method of reviewing and questionnaire to collect the items,using interview to collect data,and using exploratory factor analysis and variance analysis for data processing,the paper makes a empirical study on the Structure of Workplace Incivility in China.The results indicate that:(1) the structure of workplace incivility is consisted of exclusionary behavior,gossiping,hostility,privacy invasion and abuse of power;(2) there are significant differences in some structures of workplace incivility in different gender,age,occupation and education.
MiFish, a set of universal PCR primers for metabarcoding environmental DNA from fishes: detection of more than 230 subtropical marine species

We developed a set of universal PCR primers (MiFish-U/E) for metabarcoding environmental DNA (eDNA) from fishes. Primers were designed using aligned whole mitochondrial genome (mitogenome) sequences from 880 species, supplemented by partial mitogenome sequences from 160 elasmobranchs (sharks and rays). The primers target a hypervariable region of the 12S rRNA gene (163–185 bp), which contains sufficient information to identify fishes to taxonomic family, genus and species except for some closely related congeners. To test versatility of the primers across a diverse range of fishes, we sampled eDNA from four tanks in the Okinawa Churaumi Aquarium with known species compositions, prepared dual-indexed libraries and performed paired-end sequencing of the region using high-throughput next-generation sequencing technologies. Out of the 180 marine fish species contained in the four tanks with reference sequences in a custom database, we detected 168 species (93.3%) distributed across 59 families and 123 genera. These fishes are not only taxonomically diverse, ranging from sharks and rays to higher teleosts, but are also greatly varied in their ecology, including both pelagic and benthic species living in shallow coastal to deep waters. We also sampled natural seawaters around coral reefs near the aquarium and detected 93 fish species using this approach. Of the 93 species, 64 were not detected in the four aquarium tanks, rendering the total number of species detected to 232 (from 70 families and 152 genera). The metabarcoding approach presented here is non-invasive, more efficient, more cost-effective and more sensitive than the traditional survey methods. It has the potential to serve as an alternative (or complementary) tool for biodiversity monitoring that revolutionizes natural resource management and ecological studies of fish communities on larger spatial and temporal scales.
Effects of catechins on superoxide and hydroxyl radical.

Superoxide (O2-.) was reduced by the addition of superoxide dismutase (SOD: O2-. scavenger) and catechins. In competitive reactions utilizing different concentrations of spin-trap agent, the IC50 values of each sample were changed. With regard to the Cu2+/H2O2 and Fe2+/H2O2 reaction systems, metal chelater, hydroxyl radical (.OH) scavenger and catechins eliminated the levels of . OH. For the Cu2+/H2O2 reaction systems, the IC50 for . OH scavenger changed, but that for metal chelater and catechins did not. However, for the Fe2+/H2O2 reaction system, the IC50 for . OH scavenger and catechins changed, whereas that for metal chelater did not. The ESR signal for free Cu2+ was changed by addition of metal chelater and catechins. In the spectrophotometer experiments, it was confirmed that the CuCl2 spectrum was changed by addition of metal chelater and catechins but not by . OH scavenger. Conversely, the FeSO4 spectrum was not changed by addition of . OH scavenger or catechins, but was altered by metal chelater. Lipid peroxidation was inhibited by catechins in a concentration-dependent manner. Therefore, it was suggested that the catechins did not scavenge directly the generated . OH from the Cu2+/H2O2 reaction system, but inhibited the generation of . OH by acting on the Cu2+/H2O2 reaction system. On the other hand, with respect to the . OH generated from the Fe2+/H2O2 reaction system, it was suggested that the catechins had a direct scavenging capacity of the . OH, but had little chelating activity of iron. It was confirmed that catechins have the ability to scavenge for O2-. as well as . OH and to inhibit the generation of . OH by chelation with metal ions.
Students' ideas about Blaise Pascal experiment at the Puy de Dôme Mountain

In 1647, Blaise Pascal suggests to raise Torricelli’s mercury barometer at the top of the Puy de Dome Mountain (France) in order to test the "weight of air" assumption which can be considered as the primitive form of the air pressure concept. This experiment, conducted in 1648, takes place in the backdrop of the controversy surrounding the existence of vacuum and is variously interpreted. Thus, the "weight of air" assumption as a cause of the variations observed during the ascent of the Puy de Dome is not unanimously approved among the scholars of the seventeenth century. We find a similar difficulty among students interviewed after instruction: they struggle in considering Torricelli’s device as a measuring instrument associated with the changes of the air pressure.
HCVP: A Hybrid Cognitive Validation Platform for WBAN

Cognitive Radio (CR) is widely anticipated to address spectrum scarcity and interference issues in future wireless communications. As a promising technology, many CR related studies have sprung up to improve the performance of network. However, most existing works mainly focus on theoretical analysis and software simulation without verifying feasibility and performance in practical network scenarios. In this paper, a Hybrid Cognitive Validation Platform (HCVP) is developed to realize practical situations by integrating computer software and hardware devices. Comparing with existing FPGA-based platforms, our HCVP is easier to deploy and configure, by replacing FPGA with low-power programmable SoC chips. Moreover, with excellent performance of energy efficiency, HCVP can be applied to a wide scope of applications, especially battery-powered networks. To evaluate the performance of the HCVP, we implement a WBAN scenario with same frequency interference traffic considered. An adaptive CR MAC algorithm is adopted to minimize the impact of interference. Experiments close to reality are built based on HCVP and the results show that the introduction of CR algorithm significantly alleviate the negative impact of collisions caused by interference and improve system performance.