Miracle-dz/UniFAR-FTUs huggingface dataset:
Polynomial Approximations for Continuous Linear Programs

Continuous linear programs have attracted considerable interest due to their potential for modeling manufacturing, scheduling, and routing problems. While efficient simplex-type algorithms have been developed for separated continuous linear programs, crude time discretization remains the method of choice for solving general (nonseparated) problem instances. In this paper we propose a more generic approximation scheme for nonseparated continuous linear programs, where we approximate the functional decision variables (policies) by polynomial and piecewise polynomial decision rules. This restriction results in an upper bound on the original problem, which can be computed efficiently by solving a tractable semidefinite program. To estimate the approximation error, we also compute a lower bound by solving a dual continuous linear program in (piecewise) polynomial decision rules. We establish the convergence of the primal and dual approximations under Slater-type constraint qualifications. We also highlight the.
Fast DC bus voltage control of single-phase PWM rectifiers using a ripple voltage estimator

The double line frequency ripple on the DC bus voltage of single-phase PWM rectifiers causes distortion in the line current and sluggish control dynamic. This paper presents an estimating scheme for the DC bus ripple voltage, which is used to cancel the ripple component in the measured bus voltage. This results in no oscillating component circulating in the bus voltage control loop. With this, the loop bandwidth can be increased to enhance the control dynamic. The proposed ripple voltage estimator uses the line current magnitude from the virtual synchronous reference frame current control loop, and the line voltage amplitude and frequency from the Park-based PLL as the input variables. Simulation and experiment of a 1-kW single PWM rectifier validate the proposed methodology. Experimental results show that under a load change of 960 W the proposed ripple cancellation scheme reduced the bus fluctuation by 50% of the conventional scheme and the settling time decreased from 3 line voltage cycles to one cycle with the line current THD of 2.5%.
Psychopathy

Although the evolution of psychopathy as a formal clinical disorder began more than a century ago, it is only recently that scientifically sound psychometric procedures for its assessment have become available. The result has been a sharp increase in theoretically meaningful and replicable research findings, both in applied settings and in the laboratory. The construct of psychopathy is proving to be particularly useful in the criminal justice system, where it has important implications for sentencing, diversion, placement, and treatment options and for the assessment of risk for recidivism and violence. Although the etiology of the predatory, cold-blooded nature of psychopathy remains obscure, the theories and methods of cognitive neuroscience and behavioral genetics promise to greatly increase our understanding of this disorder.
Rapid patterning of slurry-like elastomer composites using a laser-cut tape

We present a cleanroom-free, simple and low-cost fabrication approach utilizing a laser-cut tape for rapidly patterning slurry-like elastomer composites. A conductive polydimethylsiloxane (PDMS) composite was chosen for demonstration in this paper due to its wide use of sensing and heating in many applications. Two fabrication schemes were developed: embedding in a PDMS matrix and relieving on a PDMS substrate. In both schemes, the patterns were first inscribed on adhesive tape using a CO2 laser. The patterned tape then served as a positive mask when spreading the conductive PDMS over it. The patterns were eventually transferred to a substrate after scraping the excessive composite with a razor blade and then removing the tape. The feature resolution of the technique was about 90–100 µm primarily determined by the laser beam diameter, the translational speed and the power. The height of the patterned structures was associated with the thickness of the tape, which ranged from 76.1 ± 4.3 µm to 168.9 ± 8.2 µm in this study. A thicker structure can be achieved by stacking more adhesive tapes. For a practical demonstration, the conductive PDMS was patterned on a PDMS substrate serving as a heating element. The elastomeric microheater was successfully heated to 92 °C with a power of 210 ± 12 mW applied.
A Third Star in the T Tauri System

New speckle holographic images of the T Tauri infrared companion (T Tauri IRC; T Tauri S) reveal it to be a double system with a sky-projected separation of 0. ″05, corresponding to a linear distance of 7 AU. The presence of this third star may account for the relative paucity of dust surrounding the IRC.
Disaster gold rushes, sophisms and academic neocolonialism: comments on ‘Earthquake disasters and resilience in the global North’

After the 2004 events in the Indian Ocean and, again, after the 2011 Tōhoku catastrophe, the number of scientific publications on tsunami topics doubled in the subsequent 2 years. Such mass information has the potential to drive major improvements in tsunami disaster mitigation. Unfortunately, however, ‘gold rush’ publications are increasingly penned to the detriment of quality research and, thus, invite the inverse potential benefits. The present contribution critiques one such publication, Crowley and Elliott, in terms of their simplistic assertions, literature misinterpretations and lack of cultural and linguistic knowledge of the societies involved, bordering on neocolonialism. We argue that these authors present a distorted, if not sophistic, representation of both the Tōhoku (Japan) and the Canterbury (New Zealand) disasters. Our aim is to correct several records in terms of the recent Japanese and New Zealand events, and to suggest that the scientific community has a critical duty to scrutinize post-disaster ‘gold rush’ publications since proffered paradigms and imagined geographies can either inform or misinform disaster mitigation strategies.
Efficacy and safety of ustekinumab in Japanese patients with moderate‐to‐severe plaque‐type psoriasis: Long‐term results from a phase 2/3 clinical trial

This phase 2/3, double‐blind, placebo‐controlled study was designed to assess the safety and efficacy of ustekinumab in Japanese patients with moderate‐to‐severe plaque‐type psoriasis. Overall, 158 patients were randomized to receive ustekinumab 45 or 90 mg at weeks 0, 4, and every 12 weeks, or placebo with cross‐over to ustekinumab at week 12. The primary end‐point was the proportion of patients achieving at least 75% improvement in Psoriasis Area and Severity Index (PASI 75) at week 12. Physician’s Global Assessment (PGA), Dermatology Life Quality Index (DLQI), Nail Psoriasis Severity Index and joint pain Visual Analog Scale (VAS) were also measured. At week 12, 59.4% and 67.7% of ustekinumab 45 and 90 mg patients achieved PASI 75, respectively, compared with 6.5% in the placebo group (P < 0.0001 each). PASI 75 responses were maintained through week 64 in 65.0% and 78.6% of the ustekinumab‐treated patients, respectively. Placebo cross‐over patients had similar responses to ustekinumab‐treated patients. Significant improvements in PGA, DLQI and VAS scores were observed at week 12 and generally maintained over time. Adverse events during the placebo‐controlled period were similar among groups (45 mg, 65.6%; 90 mg, 59.7%; placebo, 65.6%). Serious adverse events were observed in 0%, 4.8% and 6.3% of patients, respectively. Through week 72, similar rates and types of adverse events and serious adverse events were reported in patients receiving 45 and 90 mg. Rates of injection site reactions and antibodies to ustekinumab were low. Ustekinumab was efficacious and generally well‐tolerated in Japanese patients with moderate‐to‐severe plaque‐type psoriasis through 72 weeks. These results are consistent with those reported in the global, phase 3 studies.
Multi-arm robotic swimming with octopus-inspired compliant web

This paper presents an 8-arm compliant robot, able to propel itself underwater by movements of its arms, either alone or interconnected via a passively-compliant web. The robot is inspired by the morphology and outstanding locomotor capabilities of the octopus, and is fabricated primarily from compliant materials. This robotic swimmer is first investigated computationally via dynamical models capturing the arm and web compliance, and indicating the effect of various kinematic parameters of the system on its motion. The performance of the robotic prototype is, then, tested experimentally, to demonstrate this novel mode of underwater propulsion by combining various patterns of sculling movements of the arms and web. Speeds of 0.5 body lengths per second and propulsive forces of up to 10.5 N were achieved, with a cost of transport as low as 0.62.
Preliminary Outcomes From a Community-Based Elder Abuse Risk and Evaluation Tool

This research addresses the need to develop an assessment tool for case workers working in the aging services field outside of APS. As such, the research discusses the development, implementation, and preliminary outcomes of the Elder Abuse Risk Assessment and Evaluation© tool (EARAE). This instrument was developed and pilot tested by the Elder Abuse Prevention Program (EAPP), a program within Lifespan of Greater Rochester Inc. in Rochester, New York. A total of 189 suspected elder mistreatment cases were investigated using the EARAE instrument to track elements at the start and close of each case. Results indicate the tool represents an effective way to capture abuse indicators, track contributing risk factors, measure multiple case outcomes, and track types of interventions utilized. Opportunities and limitations of the tool are also discussed.
A bootstrapping algorithm for geo-entity relation extraction from online encyclopedia

Extracting spatial and semantic relations between two geo-entities from web texts, is one core problem of geographical information retrieval. The primary methods are pattern matching and supervised learning. Since the coverage of patterns is limited due to poor adaptability and supervised learning needs a large number of labeled data that expensive, both are hard to process the massive and diverse web texts. Inspired by frequency statistics, which is an important technique of unsupervised relation extraction, this paper puts forward a novel approach to automatically extracting geo-entity relations without much manual effort. Firstly, we translate relation extraction to a problem of keyword extraction, and analyze the characteristics of word (part-of-speech, position and distance to entity) by means of bootstrapping. Secondly, calculate the weight of each word in one sentence with a pair of geo-entities based on the statistic results of characteristics, and pick out the word with the maximum weight as the relation of one pair of geo-entities. Lastly, we construct relation instances to obtain the structured information. In the experiment, we used bootstrapping to evaluate the precision and recall based on popular Sina Travel and BaiduBaike in Chinese and compared with three frequency statistic approaches (Frequency, TF-IDF and PPMI). The presented method is argued has following advantages: (1) it can automatically explore the lexical features from natural language texts, which neither the domain expert knowledge nor large scale corpora need, and breaks the restriction of closed relation types. (2) Compared with three classical frequency statistics methods, the precision and recall are improved by 5% and 23% respectively.
Gamma is a measure of the accuracy of predicting performance on one item relative to another item, not of the absolute performance on an individual item. Comments on Schraw (1995)

The recent paper by Schraw (Measures of feeling-of-knowing accuracy: a new look at an old problem, Applied Cognitive Psychology, 1995, 9, 321--332) is flawed by several inaccuracies and by Schraw's failure to distinguish between two fundamentally different aspects of the accuracy of metacognitive predictions: (1) calibration (aka absolute accuracy, defined in terms of whether the predicted value assigned to a single item is followed by the occurrence of that value on the criterion test), and (2) resolution (aka relative accuracy, defined in terms of whether the predicted performance on one item relative to another item is followed by the occurrence of that ordering of the two items on the criterion test). Because of these (and other) problems, his recommendations seem misleading and counterproductive. Language: en
A platform for collaborative semantic annotation

Data-driven approaches in computational semantics are not common because there are only few semantically annotated resources available. We are building a large corpus of public-domain English texts and annotate them semi-automatically with syntactic structures (derivations in Combinatory Categorial Grammar) and semantic representations (Discourse Representation Structures), including events, thematic roles, named entities, anaphora, scope, and rhetorical structure. We have created a wiki-like Web-based platform on which a crowd of expert annotators (i.e. linguists) can log in and adjust linguistic analyses in real time, at various levels of analysis, such as boundaries (tokens, sentences) and tags (part of speech, lexical categories). The demo will illustrate the different features of the platform, including navigation, visualization and editing.
Normalization of feature distribution in motor imagery based brain-computer interfaces

Brain-Computer Interfaces (BCIs) are systems capable of capturing and interpreting the consent changes in the activity of brain (e.g. intention of limb movement, attention focus on specific frequency or symbol) and translating them into sets of instructions, which can be used for the control of a computer. The most popular hardware solutions in BCI are based on the signals recorded by the electroencephalograph (EEG). Such signals can be used to record and monitor the bioelectrical activity of the brain. However, raw EEG scalp potentials are characterized by a weak spatial resolution. Due to that reason, multichannel EEG recordings tend to provide an unclear image of the activity of brain and the use of special signal processing and analysis methods is needed. A typical approach towards modern BCIs requires an extensive use of Machine Learning methods. It is generally accepted that the performance of such systems is highly sensitive to the feature extraction step. One of the most effective and widely used descriptors of EEG data is the power of the signal calculated in a specific frequency range. In order to improve the performance of chosen classification algorithm, the distribution of the extracted bandpower features is often normalized with the use of natural logarithm function. In this study the step of normalization of feature distribution was taken into careful consideration. Commonly used logarithm function is not always the best choice for this process. Therefore, the influence on the skewness of features, as well as, on the general classification accuracy of different settings of Box-Cox transformation will be tested in this article and compared to classical approach that employs natural logarithm function. For the better evaluation of the performance of the proposed approach, its effectiveness is tested in the task of classification of the benchmark data provided for the “BCI Competition III” (dataset “IVa”) organized by the Berlin Brain-Computer Interface group.
Polygene-based evolution: a novel framework for evolutionary algorithms

In this paper, we introduce polygene-based evolution, a novel framework for evolutionary algorithms (EAs) that features distinctive operations in the evolution process. In traditional EAs, the primitive evolution unit is gene, where genes are independent components during evolution. In polygene-based evolutionary algorithms (PGEAs), the evolution unit is polygene, i.e., a set of co-regulated genes. Discovering and maintaining quality polygenes can play an effective role in evolving quality individuals. Polygenes generalize genes, and PGEAs generalize EAs. Implementing the PGEA framework involves three phases: polygene discovery, polygene planting, and polygene-compatible evolution. Extensive experiments on function optimization benchmarks in comparison with the conventional and state-of-the-art EAs demonstrate the potential of the approach in accuracy and efficiency improvement.
A 60-GHz 2×2 phased-array transmitter using injection-locked oscillator in 0.18 µm CMOS technology

A 2×2 phased-array transmitter designed for V-band communications has been implemented by using CMOS 0.18 µm process. The circuit is based on a 30-GHz injection-locked oscillator (ILO) without using power amplifier. Combing a frequency doubler (FD) with the differential signal injection can generate a 60-GHz signal and perform a 360° phase shift with a harmonic suppression of 15 dBc. The power consumption of each channel in the transmitter is 65 mW from a 1.8 V supply. The measured output signal exhibits a self-oscillation frequency ranging from about 63.7 GHz to 65.9 GHz with an output power of −11 dBm. The transmitter demonstrates the maximum locking range up to 350 MHz under a fundamental injection. Due to the injection locking technique used in the circuit, the phase noise can be improved to −116 dBc/Hz at 1-MHz offset.
Does Incarceration Change the Criminal Identity? A Synthesis of Labeling and Identity Theory Perspectives on Identity Change

This study uses an identity theory framework to fill in gaps left by labeling theory in the explanation of criminal behavior resulting from one's identity. The authors examine the reciprocal relationship between the views of significant others, peers, and guards at the jail, and self-views for changes in the criminal identity, the drug user identity, and the worker identity using an incarcerated population. The findings suggest that identity theory provides a more detailed explanation of the processes by which the views of others can influence criminal behavior than labeling theory does. Identity theory allows for the explanation of different behavioral outcomes in response to the same label, which labeling theory does not provide.
Comparing Personality Characteristics, Values, and Goals as Antecedents of Organizational Attractiveness

Person-organization (P-O) fit was examined as an antecedent of individuals' attraction to organizations by operationalizing P-O fit as the similarity between individuals and organizations on three points of comparison: Personality dimensions, values, and goals. It was hypothesized that compared to P-O fit on values and on goals, P-O fit on personality dimensions would be related more strongly to organizational attractiveness. It was also hypothesized that relative to P-O fit on goals, P-O fit on values would be related more strongly to organizational attractiveness. The results indicated that each of the points of comparison had a unique effect on organizational attractiveness and that individuals were more attracted to organizations that were similar to them than to organizations that were dissimilar to them.
Empathy, assertiveness, aggressiveness, and defensiveness among sex offenders

A total of 98 sex offenders, including 32 incest offenders, 38 pedophiles, 28 sexual aggressives, and 7 exhibitionists, were compared for defensiveness, assertiveness, aggressiveness, and empathy, employing the Interpersonal Behavior Survey (IBS) and Empathy Scales. The measures overall failed to distinguish defensive and violent sex offenders from those less defensive and nonviolent. Results showed that a number of IBS scales as well as the Empathy scale lacked internal consistency. The measures need further development to examine the theoretically important measures of assertion, aggression, empathy and defensiveness in sex offenders.
How does student peer review influence perceptions, engagement and academic outcomes? A case study

Involving students in peer review has many pedagogical benefits, but few studies have explicitly investigated relationships between the content of peer reviews, student perceptions and assessment outcomes. We conducted a case study of peer review within a third-year undergraduate subject at a research-intensive Australian university, in which we examined: (1) students’ perceptions of the peer review process before and after peer review, (2) content of the peer reviews and what kinds of feedback were adopted and (3) the effect of participation in peer review on performance (grades) in the assessment task. Students overwhelmingly perceived peer review to be beneficial, and the opportunity to participate in peer review resulted in a significant improvement in the quality of work submitted for assessment. Students who benefited most from peer review were those of below-median performance, and the magnitude of benefit was related to the degree to which students engaged with the peer review process. Our study confirms that participation in peer review can lead to important improvements in performance and learning outcomes.
Academic Course Gamification: The Art of Perceived Playfulness.

Gamification in education is being used as a way to increase student engagement and learning. While carrying a big promise, little is known about how students with different personalities, specifically extraverts and introverts, are influenced by game elements and mechanics: knowledge that is essential to ensure that implementing gamification will not disengage some students. In two quasi-experiments performed in an academic course, students (n=102; n=58) were faced with the immediate feedback game mechanics such as points, rewards, and badges, and comparative feedback mechanics such as leaderboards and progress bars. The perceived playfulness from the implementation was measured and a Partial Least Squares (PLS) analysis was performed measuring the relations between these elements and the way they increase the perceived playfulness throughout the semester. A moderation analysis was performed examining how extraverts and introverts perceive each implementation. Our results show that in both cases there were significant moderating effects between game mechanics and perceived playfulness. More specifically, the effect of leaderboards on perceived playfulness was higher for introverts and was negative for extraverts, meaning that implementing leaderboards may disengage extraverts. These results are important for gamification researchers who are looking at how different personalities derive perceived playfulness, based on different game mechanics and to educators who plan to include game elements in their courses.
General Deterrence between Enduring Rivals: Testing Three Competing Models

General deterrence, unlike immediate deterrence, has rarely been analyzed in a systematic comparative manner. We outline a research design for doing so, by studying the circumstances under which, in a set of enduring rivalries, challengers are likely to initiate militarized disputes. We indicate the conceptual and operational steps necessary to make and empirically compare predictions stemming from three often-competing theoretical frameworks: rational deterrence, a general model of rational conflict initiation, and a cognitive psychological model of behavior emphasizing risk orientation and misperception. The results of probit analysis on a pooled time series of enduring rivalries since 1945 provide support for hypotheses from each of the different theoretical models.