nils-herrmann/clean_scirepeval huggingface dataset:
Motion planning for an omnidirectional robot with steering constraints

Omnidirectional mobile robots, i.e., robots that can move in any direction without changing their orientation, offer better manoeuvrability in natural environments. Modeling the kinematics of such robots is a challenging problem and different approaches have been investigated. One of the best approaches for a nonholonomic robot is to model the robot's velocity state as the motion around its instantaneous center of rotation (ICR). In this paper, we present a motion planner designed to compute efficient trajectories for such a robot in an environment with obstacles. The action space is modeled in terms of changes of the ICR and the motion around it. Our motion planner is based on a Rapidly-Exploring Random Trees (RRT) algorithm to sample the action space and find a feasible trajectory from an initial configuration to a goal configuration. To generate fluid paths, we introduce an adaptive sampling technique taking into account constraints related to the ICR-based action space.
Tongue and Taste Organ Biology and Function: Homeostasis Maintained by Hedgehog Signaling.

The tongue is an elaborate complex of heterogeneous tissues with taste organs of diverse embryonic origins. The lingual taste organs are papillae, composed of an epithelium that includes specialized taste buds, the basal lamina, and a lamina propria core with matrix molecules, fibroblasts, nerves, and vessels. Because taste organs are dynamic in cell biology and sensory function, homeostasis requires tight regulation in specific compartments or niches. Recently, the Hedgehog (Hh) pathway has emerged as an essential regulator that maintains lingual taste papillae, taste bud and progenitor cell proliferation and differentiation, and neurophysiological function. Activating or suppressing Hh signaling, with genetic models or pharmacological agents used in cancer treatments, disrupts taste papilla and taste bud integrity and can eliminate responses from taste nerves to chemical stimuli but not to touch or temperature. Understanding Hh regulation of taste organ homeostasis contributes knowledge about the basic biology underlying taste disruptions in patients treated with Hh pathway inhibitors.
The long-term outcome of nerve combing for trigeminal neuralgia

The purpose of our study was to describe and evaluate the long-term clinical outcome of nerve combing for idiopathic trigeminal neuralgia (TN) with and without vascular compression. The study included 60 trigeminal neuralgia patients, 28 of which (Group A) had no visible vascular compression intraoperatively and 32 of which (Group B) had trigeminal nerve root entry zone (REZ) compressed by vascular structure. All patients were considered medical failures prior to the surgeries. All of them underwent trigeminal nerve combing. The following outcome measures were assessed: pain relief, recurrence, complication and time to pain relief. The median duration of follow-up was 52 months (range 48–96 months) in group A and 56 months (range 48–96 months) in group B. Excellent relief and good relief were noted in 23 patients (82.1 %) and two patients (7.1 %) from group A, respectively, and in 20 (62.5 %) and eight patients (25 %) from group B. The major complication of both groups was facial numbness. And the total complication rate was 15.8 % in group A and 18.8 % in group B. Recurrence was found in one patient in group A and in two in group B by the end of follow-up. Trigeminal nerve combing is effective in treating TN, but has a much higher pain relief rate in patients without vascular compression than those with vascular compression.
A 1.8 MHz MEMS-based oscillator with synchronous amplitude limiter

This paper describes the design and simulation of a MEMS-based oscillator using a synchronous amplitude limiter. The proposed solution does not require external control signals to keep the resonator drive amplitude within the desired range. In a MEMS oscillator the oscillation amplitude needs to be limited to avoid over-driving the resonator which could cause unwanted nonlinear behavior  or component failure. The interface electronics has been implemented and simulated in 0.35μm HV CMOS process. The resonator was fabricated using a custom rapid-prototyping process involving Focused Ion Beam masking and Cryogenic Deep Reactive Ion Etching.
A Latent Dirichlet Allocation Method for Selectional Preferences

The computation of selectional preferences, the admissible argument values for a relation, is a well-known NLP task with broad applicability. We present LDA-SP, which utilizes LinkLDA (Erosheva et al., 2004) to model selectional preferences. By simultaneously inferring latent topics and topic distributions over relations, LDA-SP combines the benefits of previous approaches: like traditional classbased approaches, it produces humaninterpretable classes describing each relation’s preferences, but it is competitive with non-class-based methods in predictive power. We compare LDA-SP to several state-ofthe-art methods achieving an 85% increase in recall at 0.9 precision over mutual information (Erk, 2007). We also evaluate LDA-SP’s effectiveness at filtering improper applications of inference rules, where we show substantial improvement over Pantel et al.’s system (Pantel et al., 2007).
Do I use the wrong definition?: DeFuse: definition-use invariants for detecting concurrency and sequential bugs

Software bugs, such as concurrency, memory and semantic bugs, can significantly affect system reliability. Although much effort has been made to address this problem, there are still many bugs that cannot be detected, especially concurrency bugs due to the complexity of concurrent programs. Effective approaches for detecting these common bugs are therefore highly desired.
 This paper presents an invariant-based bug detection tool, DefUse, which can detect not only concurrency bugs (including the previously under-studied order violation bugs), but also memory and semantic bugs. Based on the observation that many bugs appear as violations to programmers' data flow intentions, we introduce three different types of definition-use invariants that commonly exist in both sequential and concurrent programs. We also design an algorithm to automatically extract such invariants from programs, which are then used to detect bugs. Moreover, DefUse uses various techniques to prune false positives and rank error reports.
 We evaluated DefUse using sixteen real-world applications with twenty real-world concurrency and sequential bugs. Our results show that DefUse can effectively detect 19 of these bugs, including 2 new bugs that were never reported before, with only a few false positives. Our training sensitivity results show that, with the benefit of the pruning and ranking algorithms, DefUse is accurate even with insufficient training.
Classifying soft error vulnerabilities in extreme-Scale scientific applications using a binary instrumentation tool

Extreme-scale scientific applications are at a significant risk of being hit by soft errors on supercomputers as the scale of these systems and the component density continues to increase. In order to better understand the specific soft error vulnerabilities in scientific applications, we have built an empirical fault injection and consequence analysis tool - BIFIT - that allows us to evaluate how soft errors impact applications. In particular, BIFIT is designed with capability to inject faults at very specific targets: an arbitrarily-chosen execution point and any specific data structure. We apply BIFIT to three mission-critical scientific applications and investigate the applications vulnerability to soft errors by performing thousands of statistical tests. We, then, classify each applications individual data structures based on their sensitivity to these vulnerabilities, and generalize these classifications across applications. Subsequently, these classifications can be used to apply appropriate resiliency solutions to each data structure within an application. Our study reveals that these scientific applications have a wide range of sensitivities to both the time and the location of a soft error; yet, we are able to identify intrinsic relationships between application vulnerabilities and specific types of data objects. In this regard, BIFIT enables new opportunities for future resiliency research.
Test Coverage: What Does It Mean When a Board Test Passes?

1 Abstract Characterizing board test coverage as a percentage of devices or nodes having tests does not accurately portray coverage, especially in a limited access testing environment that today includes a variety of diverse testing approaches from visual and penetrative inspection to classical In-Circuit test. A better depiction of test coverage is achieved by developing a list of potential defects referred to as the defect universe, where the capabilities of the chosen test strategy are not considered in development of this defect list. Coverage is measured by grading the capabilities of each test process against the defect universe. The defect universe is defined to be meaningful to the bulk of the electronics industry and to provide a consistent framework for coverage metrics and comparisons.
Context-aware Convolutional Neural Networks for Twitter Sentiment Analysis in Italian

English. This paper describes the Unitor system that participated to the SENTIment POLarity Classification task proposed in Evalita 2016. The system implements a classification workflow made of several Convolutional Neural Network classifiers, that generalize the linguistic information observed in the training tweets by considering also their context. Moreover, sentiment specific information is injected in the training process by using Polarity Lexicons automatically acquired through the automatic analysis of unlabeled collection of tweets. Unitor achieved the best results in the Subjectivity Classification sub-task, and it scored 2nd in the Polarity Classification sub-task, among about 25 different submissions. Italiano. Questo lavoro descrive il sistema Unitor valutato nel task di SENTIment POLarity Classification proposto all’interno di Evalita 2016. Il sistema é basato su un workflow di classificazione implementato usando Convolutional Neural Network, che generalizzano le evidenze osservabili all’interno dei dati di addestramento analizzando i loro contesti e sfruttando lessici specifici per la analisi del sentimento, generati automaticamente. Il sistema ha ottenuto ottimi risultati, ottenendo la miglior performance nel task di Subjectivity Classification e la seconda nel task di Polarity Classification.
Pretarsal roll augmentation with dermal hyaluronic acid filler injection

Pretarsal roll augmentation with dermal hyaluronic acid filler injection focuses on restoring pretarsal fullness. This study aimed to introduce a method of pretarsal roll augmentation with dermal hyaluronic acid filler injection and establish the level of difficulty, safety, and effectiveness of this method. Eighty female patients were enrolled in this study. Hyaluronic acid filler was used to perform pretarsal roll augmentation. Physician and patient satisfaction at 1 month and 4 months after surgery was investigated. The level of satisfaction was graded from points 1 to 5. The patient satisfaction and physician scores were 4.7 ± 1.1 (mean ± standard deviation) points at 1 month and 4.8 ± 0.9 points at 4 months and 4.6 ± 0.9 points at 1 month and 4.8 ± 1.0 points at 4 months, respectively. No major complications were observed. Our technique provided a natural and younger appearance with pretarsal fullness. This technique was easy to perform for the restoration of pretarsal fullness, and it improved periorbital contouring, rejuvenated the pretarsal roll, and provided excellent esthetic results.
Cross-language Speech Perception and Foreign Language Acquisition : Adult Perception of Thai and Mandarin Tonal Contrasts by Naïve and Mandarin-learning American English Speakers

This study investigates the effects of adult second language (L2) acquisition on perception of non-native phonological categories. Specifically, monolingual American English speakers, and American English speakers who have learned Mandarin in adulthood were tested on perceptual discrimination of Thai and Mandarin tonal contrasts. This research question extends previous work by Wayland and Guion (2004) as well as Schaefer and Darcy (2013), who found that native Mandarin speakers perceive Thai tones significantly more accurately than native American English speakers. However, it remains an open question as to whether L2 acquisition of Mandarin would confer a congruent perceptual advantage on learners. If Mandarin learners form new phonological categories for tone, they should perceive both Mandarin and Thai tonal contrasts better than American English speakers who have no experience in a language with lexical tone. The findings indicate no significant difference in accuracy rates between naïve listeners and Mandarin learners for Mandarin or Thai tonal contrasts, suggesting that even if phonological categories for tone can be established, it is difficult to generalize them to a third language. However, differences in accuracy rates between individual contrasts are significant, and are interpreted in light of the Speech Learning Model (Flege, 1995), and the Perceptual Assimilation Model (Best, 1995). Strong performance on tone contrasts that differ markedly in contour shape and direction over level tone contrasts supports previous researchers’ claims that intrinsic differences between level and contour tones affect nonnative perception (Francis, Ciocca, & Ng, 2003; Lee, Vakoch, and Wurm, 1996; Qin & Mok, 2012; Wayland & Guion, 2004). CROSS-LANGUAGE TONE PERCEPTION 3
Platelet function analysis.

Since the last guidelines for BCSH platelet function testing were written in the late 1980s, many new tests have become available. Previously most platelet function tests were traditionally utilized to aid in the diagnosis and management of patients with platelet and haemostatic disorders. Most traditional tests were also largely restricted to the specialized laboratory or centre. However, nowadays there is also much renewed interest in monitoring the efficacy of anti-platelet therapy and measuring platelet hyper-function. A number of dedicated platelet function instruments have now become available that are much simpler to use and are beginning to be utilized as point of care instruments. These can now provide measurement of platelet function within whole blood without the requirement of sample processing. Some are also beginning to be incorporated into routine clinical use and can be utilized as not only as general screening tests of platelet function but to monitor anti-platelet therapy and to potentially assess both risk of bleeding and/or thrombosis. Modern flow cytometric-based platelet function analysis now also provides a wide variety of specific tests that can assess different aspects of platelet biology that are useful for diagnostic purposes. This review will highlight some of these of new tests/instruments and discuss their potential utility both within the haemostasis laboratory but also as potential point of care instruments.
Fuzzy Logic Applications to Power Electronics and Drives-An Overview

Applications of fuzzy logic (FL) to power electronics and drives are on the rise. The paper discusses some representative applications of FL in the area, preceded by an interpretative review of fuzzy logic controller (FLC) theory. A discussion on design and implementation aspects is presented, that also considers the interaction of neural networks and fuzzy logic techniques. Finally, strengths and limitations of FLC are considered, including possible applications in the area.
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting

COCO is a platform for Comparing Continuous Optimizers in a black-box setting. It aims at automatizing the tedious and repetitive task of benchmarking numerical optimization algorithms to the greatest possible extent. We present the rationals behind the development of the platform as a general proposition for a guideline towards better benchmarking. We detail underlying fundamental concepts of COCO such as the definition of a problem, the idea of instances, the relevance of target values, and runtime as central performance measure. Finally, we give a quick overview of the basic code structure and the currently available test suites.
Acute treatment of generalized pustular psoriasis of von Zumbusch with single-dose infliximab.

REFERENCES 1. Fern andez-Guarino M, Aldanondo I, Gonz alez-Garc ıa C, Garrido P, Marquet A, P erez-Garc ıa B, et al. Dermatosis perforante por gefinitib. Actas Dermosifiliogr 2006;97:208-11. 2. Gilaberte Y, Coscojuela C, V azquez C, Rosell o R, Vera J. Perforating folliculitis associated with tumor necrosis factor alpha inhibitors administered for rheumatoid arthritis.  A, Komatsu S, Iiduka H. Transient perforating folliculitis induced by sorafenib.  Perforating folliculitis, angioedema, hand-foot syndrome e multiple cutaneous side effects in a patient treated with sorafenib.
Secure, Decentralized Energy Resource Management Using the Ethereum Blockchain

While blockchain services hold great promise to improve many different industries, there are significant cybersecurity concerns which must be addressed. In this paper, we investigate security considerations for an Ethereum blockchain hosting a distributed energy management application. We have simulated a microgrid with ten buildings in the northeast U.S., and results of the transaction distribution and electricity utilization are presented. We also present the effects on energy distribution when one or two smart meters have their identities corrupted. We then propose a new approach to digital identity management that would require smart meters to authenticate with the blockchain ledger and mitigate identity-spoofing attacks. Applications of this approach to defense against port scans and DDoS, attacks are also discussed.
Laparoscopic Visualization of the Cystic Artery Anatomy

Uncontrolled bleeding from the cystic artery and its branches is a serious problem that may increase the risk of intraoperative lesions to vital vascular and biliary structures. On laparoscopic visualization anatomic relations are seen differently than during conventional surgery, so proper knowledge of the hepatobiliary triangle anatomic structures under the conditions of laparoscopic visualization is required. We present an original classification of the anatomic variations of the cystic artery into two main groups based on our experience with 200 laparoscopic cholecystectomies, with due consideration of the known anatomicotopographic relations. Group I designates a cystic artery situated within the hepatobiliary triangle on laparoscopic visualization. This group included three types: (1) normally lying cystic artery, found in 147 (73.5%) patients; (2) most common cystic artery variation, manifesting as its doubling, present in 31 (15.5%) patients; and (3) the cystic artery originating from the aberrant right hepatic artery, observed in 11 (5.5%) patients. Group II designates a cystic artery that could not be found within the hepatobiliary triangle on laparoscopic dissection. This group included two types of variation: (1) cystic artery originating from the gastroduodenal artery, found in nine (4.5%) patients; and (2) cystic artery originating from the left hepatic artery, recorded in two (1%) patients.
Managing the Improvement of SCM Process

This article presents a framework for improving the Software Configuration Management (SCM) process, that includes a maturity model to assess software organizations and an approach to guide the transition from diagnosis to action planning. The maturity model and assessment tool are useful to identify the degree of satisfaction for practices considered key for SCM. The transition approach is also important because the application of a model to produce a diagnosis is just a first step, organizations are demanding the generation of action plans to implement the recommendations. The proposed framework has been used to assess a number of software organizations and to generate the basis to build an action plan for improvement. In summary, this article shows that the maturity model and action planning approach are instrumental to reach higher SCM control and visibility, therefore producing higher quality software.
Is Institutional Ownership Associated with Earnings Management and the Extent to which Stock Prices Reflect Future Earnings ?

Articles in the financial press suggest that institutional investors are overly focused on short-term profitability leading mangers to manipulate earnings fearing that a short-term profit disappointment will lead institutions to liquidate their holdings. This paper shows, however, that the absolute value of discretionary accruals declines with institutional ownership. The result is consistent with managers recognizing that institutional owners are better informed than individual investors, which reduces the perceived benefit of managing accruals. We also find that as institutional ownership increases, stock prices tend to reflect a greater proportion of the information in future earnings relative to current earnings. This result is consistent with institutional investors looking beyond current earnings compared to individual investors. Collectively, the results offer strong evidence that managers do not manipulate earnings due to pressure from institutional investors who are overly focused on short-term profitability.
Triclustering in gene expression data analysis: A selected survey

Mining microarray data sets is important in bioinformatics research and biomedical applications. Recently, mining triclusters or 3D clusters in a Gene Sample Time or 3D microarray data is an emerging area of research. Each tricluster contains a subset of genes and a subset of samples such that the genes are coherent on the samples along the time series. There is a scarcity of triclustering algorithms in the literature of microarray data analysis. We review some existing triclustering algorithms and discuss their merits and demerits. Finally we are trying to provide the researcher who are new to this field a base platform by exposing the issues which are still challenging in triclustering through our analysis of these algorithms.
Surgical Strategies for Treating Patients with Pineal Region Tumors

Optimal management of pineal region tumors depends on securing an accurate histologic diagnosis to facilitate management customized to the nuances of specific pathologies. As an initial step, surgical intervention by either stereotactic biopsy or open surgery is necessary to obtain tissue for pathologic examination. Stereotactic biopsy has the benefit of relative ease and minimal morbidity but is associated with greater likelihood of diagnostic inaccuracy compared to open surgery where more extensive tissue sampling is possible. The role of surgical debulking in the management of pineal tumors is clearly defined for some tumors but is less evident for others. Among the one third of pineal tumors that are benign or low grade, complete surgical resection is achievable and constitutes optimal management with excellent long-term recurrence-free survival. The benefits of aggressive surgical resection among malignant tumors are less clear but several studies have correlated degree of tumor removal with improved outcome. Advances in technology, surgical technique, and post-operative care have minimized surgical complications, however all surgical procedures in the pineal region, including both stereotactic biopsy and open surgery, are potentially hazardous. Advanced judgment, experience, and expertise are necessary to achieve rates of success sufficient to justify aggressive management. Management strategies using stereotactic biopsy, endoscopy, and radiosurgery can also provide favorable outcomes in some cases. Selective incorporation of these innovations can be expected to improve the already highly favorable outcome for all pineal region tumors.