Miracle-dz/UniFAR-FTUs huggingface dataset:
Extreme Metal Music and Anger Processing

The claim that listening to extreme music causes anger, and expressions of anger such as aggression and delinquency have yet to be substantiated using controlled experimental methods. In this study, 39 extreme music listeners aged 18–34 years were subjected to an anger induction, followed by random assignment to 10 min of listening to extreme music from their own playlist, or 10 min silence (control). Measures of emotion included heart rate and subjective ratings on the Positive and Negative Affect Scale (PANAS). Results showed that ratings of PANAS hostility, irritability, and stress increased during the anger induction, and decreased after the music or silence. Heart rate increased during the anger induction and was sustained (not increased) in the music condition, and decreased in the silence condition. PANAS active and inspired ratings increased during music listening, an effect that was not seen in controls. The findings indicate that extreme music did not make angry participants angrier; rather, it appeared to match their physiological arousal and result in an increase in positive emotions. Listening to extreme music may represent a healthy way of processing anger for these listeners.
Measurement of and Factors Associated with the Anterior Chamber Volume in Healthy Chinese Adults

Purpose. To measure the anterior chamber volume (ACV) and determine factors associated with the ACV in healthy Chinese adults. Methods. In this cross-sectional study, we used swept-source optical coherence tomography (SS-OCT) to measure ACV and other anterior segment parameters. Factors associated with ACV were also determined. Results. A total of 313 healthy Chinese adults were enrolled. The anterior segment parameters, including ACV, could be measured by SS-OCT with excellent repeatability and reproducibility. There was a significant difference between the horizontal and vertical anterior chamber widths (ACW) (P < 0.05), with a mean difference of 390 μm. The ACV (mean 153.83 ± 32.42 mm3) was correlated with most of the anterior segment parameters, especially anterior chamber depth (ACD), which accounted for about 85% of the variation of ACV. Most of the anterior segment parameters were significantly correlated with age, and the relative changes in ACV and ACD were greatest in subjects aged 41–50 years. Conclusion. ACV was correlated with most of the anterior segment parameters measured in this study, particularly ACD. The relatively large difference between horizontal and vertical ACW suggests that the ACV could and should be measured using multiple OCT scans.
Who Benefits from the Earned Income Tax Credit? Incidence among Recipients, Coworkers and Firms

Abstract How are hourly wages affected by the Earned Income Tax Credit? Using variation in state EITC supplements, I find that a 10 percent increase in the generosity of the EITC is associated with a 5 percent fall in the wages of high school dropouts and a 2 percent fall in the wages of those with only a high school diploma, while having no effect on the wages of college graduates. Given the large increase in labor supply induced by the EITC, this is consistent with most reasonable estimates of the elasticity of labor demand. Although workers with children receive a much larger EITC than childless workers, and the effect of the credit on labor force participation is larger for those with children, the hourly wages of both groups are similarly affected by an EITC increase. As a check on this strategy, I also use federal variation in the EITC across gender-age-education groups, and find that those demographic groups that received the largest EITC increases also experienced a drop in their hourly wages, relative to other groups.
Evaluation of RIX4414, a live, attenuated rotavirus vaccine, in a randomized, double-blind, placebo-controlled phase 2 trial involving 2464 Singaporean infants.

BACKGROUND At present, no rotavirus vaccine is commercially available for use worldwide. Hence, a live, attenuated monovalent vaccine was developed with human strain RIX4414 (G1P1A P[8] specificity). Vaccination trials involving infants are ongoing in developed and developing countries. METHODS This study was a randomized, double-blind, placebo-controlled trial conducted at pediatric hospitals and polyclinics in Singapore for the evaluation of the immunogenicity, reactogenicity, and efficacy of 2 oral doses of RIX4414. In total, 2464 healthy infants (who were 11-17 weeks old when the first dose was administered, which is in accordance with the local immunization schedule) were enrolled to receive RIX4414 at 3 concentrations of virus (10(4.7), 10(5.2), or 10(6.1) focus-forming units) or placebo at 1-month intervals, concomitantly with routinely administered infant vaccines. RESULTS The RIX4414 vaccine was highly immunogenic, and virtually all vaccine recipients (98%-100%) experienced "vaccine take" (i.e., a combined immunogenicity end point based on seroconversion and/or shedding of RIX4414 in postvaccination stool samples) after receipt of 2 doses at all 3 dosage levels. Depending on the virus concentration, the anti-rotavirus IgA seroconversion rate varied from 76% (95% confidence interval [CI], 68%-83%) to 91% (95% CI, 85%-95%). Two doses of RIX4414 were well tolerated, with no increase in high fever, severe diarrhea, or vomiting after either dose or with increased viral concentration, compared with placebo. There was no observed interference with routine vaccinations of infants when RIX4414 was coadministered. The calculated efficacy of RIX4414 against rotavirus gastroenteritis was 82% (P = .046); however, this result was considered to be of limited conclusive value because of the low number of rotavirus gastroenteritis episodes identified during the follow-up period. CONCLUSIONS The live, attenuated rotavirus vaccine (RIX4414) was well tolerated and highly immunogenic in Singaporean infants. The immunogenicity of routinely administered infant vaccines was not impaired by concomitant administration of RIX4414 vaccine.
Domain Specific Understanding of Spatial Expressions

This paper explores the notion of spatial expression understanding relative to a domain. A model for spatial expression understanding is proposed, and ways in which domain speci c information can be incorporated at di erent stages of the model are discussed. We describe the domain of newspaper captions and show that spatial information in this domain is primarily expressed in the open class and by projective spatial prepositions. A discussion of types of open class spatial information and the role of a priori knowledge about a domain in interpreting this information is presented. Many of the above observations have been incorporated into PICTION, a system that extracts spatial and visual information from newspaper captions for collateral-based image understanding. The representation and processing of spatial information in PICTION is presented as an application of the proposed model. The paper concludes with a discussion of our approach, and the applicability of the model to other domains.
Light-Effect Transistor (LET) with Multiple Independent Gating Controls for Optical Logic Gates and Optical Amplification

Modern electronics are developing electronic-optical integrated circuits, while their electronic backbone, e.g. field-effect transistors (FETs), remains the same. However, further FET down scaling is facing physical and technical challenges. A light-effect transistor (LET) offers electronic-optical hybridization at the component level, which can continue Moore’s law to quantum region without requiring a FET’s fabrication complexity, e.g. physical gate and doping, by employing optical gating and photoconductivity. Multiple independent gates are therefore readily realized to achieve unique functionalities without increasing chip space. Here we report LET device characteristics and novel digital and analog applications, such as optical logic gates and optical amplification. Prototype CdSe-nanowire-based LETs show output and transfer characteristics resembling advanced FETs, e.g. on/off ratios up to ~1.0x106 with a source-drain voltage of ~1.43 V, gate-power of ~260 nW, and subthreshold swing of ~0.3 nW/decade (excluding losses). Our work offers new electronic-optical integration strategies and electronic and optical computing approaches.
Formal description of an IEC 61499 runtime environment with real-time constraints

This paper investigates on the introduction of the runtime behavior and real-time constraints into the verification process of IEC 61499 based automation systems. In detail, the event propagation policies as well as the necessary execution time for all actions within the automation system need to be described for a complete model of the automation system. The basis of the formal description provides an analytic methodology for the event propagation policy of an IEC 61499 runtime implementation. By use of this methodology within the formal model of the runtime environment, the overall system behavior can be described also in the case of reactive systems properties.
On energy storage requirements in alternate arm converters and modular multilevel converters

In this paper, a comparison of the energy storage requirements is performed for the modular multilevel converter (MMC) with half-bridge and full-bridge submodules as well as for the alternate arm converter (AAC). Concerning the AAC, the operational mode with overlap period is taken into account and an analytical relation between the overlap angle and the modulation index is presented. This ensures that the net energy exchange for the converter arms is zero over each half cycle.
Towards Evaluation in Natural Language Generation

What role should evaluation play in the development of natural language generation (NLG) techniques and systems? In this paper we begin by characterising the NLG task, and in the light of this characterisation we discuss how the problems of NLG evaluation are different from the problems of evaluating natural language understanding. We then suggest a way forward for evaluation of work in natural language generation that proceeds by looking more closely at the component problems that are addressed in research in the field.
Estimating Glomerular Filtration Rate in Older People

We aimed at reviewing age-related changes in kidney structure and function, methods for estimating kidney function, and impact of reduced kidney function on geriatric outcomes, as well as the reliability and applicability of equations for estimating glomerular filtration rate (eGFR) in older patients. CKD is associated with different comorbidities and adverse outcomes such as disability and premature death in older populations. Creatinine clearance and other methods for estimating kidney function are not easy to apply in older subjects. Thus, an accurate and reliable method for calculating eGFR would be highly desirable for early detection and management of CKD in this vulnerable population. Equations based on serum creatinine, age, race, and gender have been widely used. However, these equations have their own limitations, and no equation seems better than the other ones in older people. New equations specifically developed for use in older populations, especially those based on serum cystatin C, hold promises. However, further studies are needed to definitely accept them as the reference method to estimate kidney function in older patients in the clinical setting.
Exploiting Surface, Content and Relevance Features for Learning-Based Extractive Summarization

Extractive summarization is to identify whether a sentence should be selected for inclusion in the summary or not. It can be transformed into a classification task. In this paper, we explore various features under a learning-based classification framework, including basic surface features, content features a sentence may represent and the features indicating the relevance among sentences. While surface and content features are about extrinsic and intrinsic aspects of a sentence itself, relevance features describe the strength of sentence related-ness. Sentences processed by classifiers are then feed to a re-ranking algorithm. The ones with higher priority are included in the summary. Experiments show that the proposed framework and the integrated features achieve competitive results on DUC 2001 document sets when evaluated by ROUGE. We find that relevance features are able to improve the summarization performance obviously.
Twistor Quotients of Hyperk¨ahler Manifolds

We generalize the hyperkähler quotient construction to the situation where there is no group action preserving the hyperkähler structure but for each complex structure there is an action of a complex group preserving the corresponding complex symplectic structure. Many (known and new) hyperkähler manifolds arise as quotients in this setting. For example, all hy-perkähler structures on semisimple coadjoint orbits of a complex semisimple Lie group G arise as such quotients of T * G. The generalized Legendre transform construction of Lindström and Roček is also explained in this framework.
Decision Making in Qualitative Influence Diagrams

The increasing number of knowledge-bo-~ed systems that build on a Bayesian belief network or influence diagram acknowledge the usefizlne~s of the. ~e frazneworks for addrez~sing complex reM-life proble.ms. The usually large munber of probabilities and utilities required for their application, however, is often considered a major obstach:. The use of qualitative abst. ~ur’tioT~ may t.o some extent remove this obstacle. Qualglal.ive belief networks and associated algorithms haw~ been (level,)ped before. In this paper, we auldre~ q,. algtative, influence dia.qTnras and outline aa efficient algorithm for qualitative decision making.
d1-optimal motion for a rod (extended abstract)

We study the motion of a rod (line segment) in the plane in the presence of polygonal obstacles, under an optimality criterion based on minimizing the orbit length of a fixed but arbitrary point (called the focus) on the rod. Our central result is that this problem is NP-hard when the focus is in the relative interior of the rod. Other results include a local characterization of this so-called all-optimal motion, and an efficient approximation algorithm,
Konrad-zuse-zentrum Für Informationstechnik Berlin Probabilistic Alternatives for Competitive Analysis Probabilistic Alternatives for Competitive Analysis

In the last 20 years competitive analysis has become the main tool for analyzing the quality of online algorithms. Despite of this, competitive analysis has also been criticized: It sometimes cannot discriminate between algorithms that exhibit significantly different empirical behavior, or it even favors an algorithm that is worse from an empirical point of view. Therefore, there have been several approaches to circumvent these drawbacks. In this survey, we discuss probabilistic alternatives for competitive analysis.
A Personalized Recommendation on the Basis of Item Based Algorithm

Recommendation techniques are very important in the fields of E-commerce and other Web-based services. Nowadays the internet has become an indispensable part of our lives, and it provides a platform for enterprises to deliver information about products and services to the customers but the main difficulties is dynamically providing high-quality recommendation on sparse data. This systems recommend an item to a user based upon a description of the item and a profile of the user’s interests. Here Personalized recommendation is proposed on the basis of item based algorithm, in which information contained in both ratings and feedback of the user is considered, a set of dynamic features are designed to describe user preferences in multiple phases by finding similar user by Pearson similarity technique and adaptive waiting algorithm is used for calculating total rating and finally a recommendation is made by using Item based algorithm by using cosine similarity technique for finding out similarity between the various items having the same taste and then uses them to identify the set of items to be recommended. This system give recommendation with group of similar items. Keywordsdynamic recommendation, dynamic features, multiple phases of interest
Effect of Adherence to Oral Anticoagulants on Risk of Stroke and Major Bleeding Among Patients With Atrial Fibrillation

Background In comparison to warfarin, non–vitamin K antagonist oral anticoagulants (NOACs) have the advantages of ease of dosing, fewer drug interactions, and lack of need for ongoing monitoring. We sought to evaluate whether these advantages translate to improved adherence and whether adherence is associated with improved outcomes in patients with atrial fibrillation. Methods and Results We performed a retrospective cohort analysis by using a large US commercial insurance database to identify 64 661 patients with atrial fibrillation who initiated warfarin, dabigatran, rivaroxaban, or apixaban treatment between November 1, 2010, and December 31, 2014. During a median of 1.1 y of follow‐up, 47.5% of NOAC patients had a proportion of days covered of ≥80%, compared with 40.2% in warfarin patients (P<0.001). Patients with CHA 2 DS 2‐VASc (risk based on the presence of congestive heart failure, hypertension age 65–74 y, age ≥75 y, diabetes mellitus, prior stroke or transient ischemic attack, vascular disease, sex category) score ≥4 were at increased risk of stroke when they were not taking anticoagulation ≥1 month versus <1 week (1–3 months: hazard ratio [HR] 1.96, 3–6 months: HR 2.64, ≥6 months: HR 3.66; all P<0.001). Patients with CHA 2 DS 2‐VASc score 2 or 3 were at increased risk of stroke when they were not taking anticoagulation ≥6 months (HR 2.73, P<0.001). In these patients with CHA 2 DS 2‐VASc score ≥2, nonadherence was not associated with intracranial hemorrhage. Among patients with CHA 2 DS 2‐VASc score 0 or 1, time not taking anticoagulation was not associated with stroke, but not taking anticoagulation ≥3 months was associated with a significant reduction of bleeding. Conclusions Adherence to anticoagulation is poor in practice and may be modestly improved with NOACs. Adherence to therapy appears to be most important in patients with CHA 2 DS 2‐VASc score ≥2, whereas the benefits of anticoagulation may not outweigh the harms in patients with CHA 2 DS 2‐VASc score 0 or 1.
Mitogen-Activated Protein Kinase Activation Human Vascular Smooth Muscle Cells via Toll-Like Receptor 4 and p 44 / p 42 and Chlamydial Heat Shock Protein 60 Stimulate Proliferation of Chlamydia pneumoniae

An early component of atherogenesis is abnormal vascular smooth muscle cell (VSMC) proliferation. The presence ofChlamydia pneumoniae in many atherosclerotic lesions raises the possibility that this organism plays a causal role in atherogenesis. In this study, C pneumoniaeelementary bodies (EBs) rapidly activated p44/p42 mitogen-activated protein kinases (MAPKs) and stimulated proliferation of VSMCs in vitro. Exposure of VSMCs derived from human saphenous vein to C pneumoniaeEBs (3310 inclusion forming units/mL) enhanced bromodeoxyuridine (BrdU) incorporation 12 63-fold. UVand heat-inactivatedC pneumoniaeEBs also stimulated VSMC proliferation, indicating a role of direct stimulation by chlamydial antigens. However, the mitogenic activity of C pneumoniaewas heat-labile, thus excluding a role of lipopolysaccharide. Chlamydial hsp60 (25 mg/mL) replicated the effect of C pneumoniae, stimulating BrdU incorporation 7 63-fold. Exposure toC pneumoniaeor chlamydial hsp60 rapidly activated p44/p42 MAPK, within 5 to 10 minutes of exposure. In addition, PD98059 and U0126, which are two distinct inhibitors of upstream MAPK kinase 1/2 (MEK1/2), abolished the mitogenic effect of C pneumoniaeand chlamydial hsp60. Toll-like receptors (TLRs) act as sensors for microbial antigens and can signal via the p44/p42 MAPK pathway. Human VSMCs were shown to express TLR4 mRNA and protein, and a TLR4 antagonist abolished chlamydial hsp60–induced VSMC proliferation and attenuated C pneumoniae–induced MAPK activation and VSMC proliferation. Together these results indicate that C pneumoniaeand chlamydial hsp60 are potent inducers of human VSMC proliferation and that these effects are mediated, at least in part, by rapid TLR4-mediated activation of p44/p42 MAPK. (Circ Res. 2001;89:244-250.)
Extraction of Gene-Disease Relations from Medline Using Domain Dictionaries and Machine Learning

We describe a system that extracts disease-gene relations from Medline. We constructed a dictionary for disease and gene names from six public databases and extracted relation candidates by dictionary matching. Since dictionary matching produces a large number of false positives, we developed a method of machine learning-based named entity recognition (NER) to filter out false recognitions of disease/gene names. We found that the performance of relation extraction is heavily dependent upon the performance of NER filtering and that the filtering improves the precision of relation extraction by 26.7% at the cost of a small reduction in recall.
Security analysis of Anti-SAT

Logic encryption protects integrated circuits (ICs) against intellectual property (IP) piracy and overbuilding attacks by encrypting the IC with a key. A Boolean satisfiability (SAT) based attack breaks all existing logic encryption technique within few hours. Recently, a defense mechanism known as Anti-SAT was presented that protects against SAT attack, by rendering the SAT-attack effort exponential in terms of the number of key gates. In this paper, we highlight the vulnerabilities of Anti-SAT and propose signal probability skew (SPS) attack against Anti-SAT block. SPS attack leverages the structural traces in Anti-SAT block to identify and isolate Anti-SAT block. The attack is 100% successful on all variants of Anti-SAT block. SPS attack is scalable to large circuits, as it breaks circuits with up to 22K gates within two minutes.
Corpus-based Web services matchmaking

Discovering Web services and clustering them based on their functionalities are important problems with few existing solutions. Users may search for Web services using keywords and receive services that semantically match the keywords. Semantic Web service matchmaking, proposed to enhance the precision of matchmaking using syntactical cues, is generally based upon semantic service descriptions in ontology markup languages as add-ons or replacements to the underlying WSDL descriptors. Ways to improve the performance of direct matchmaking in WSDL, however, remains less studied. In this paper, we introduce a novel corpus-based method to facilitate matchmaking in WSDL files. We show that our method can identify semantically similar Web services with satisfactory recall.
Cognitive Evaluation of Human-Robot Systems: A Method for Analyzing Cognitive Change in Human-Robot Systems

To help answer questions about the behavior of participants in human-robot systems, we propose the cognitive evaluation of human-robot systems (CEHRS) method based on our work with the personal exploration rover (PER). The CEHRS method consists of six steps: (1) identify all system participants, (2) collect data from all participant groups, including the system's creators, (3) analyze participant data in light of system-wide goals, (4) answer targeted questions about each participant group to determine the flow of knowledge, information, and influence throughout the system, (5) look for inconsistencies in the knowledge and beliefs of different participant groups, and (6) make recommendations for improvement. We offer this comprehensive, human-centered evaluation method as a starting point for future work in understanding cognitive change in human-robot interactions