LLukas22/scidocs huggingface dataset:
Asthma, respiratory symptoms and lung function in children living near a petrochemical site.

Residential proximity to environmental hazards has been related to adverse health outcomes. Respiratory health and allergies in children living near petrochemical sites have not been extensively studied. We evaluated the association between residential proximity to the petrochemical site of Tarragona (Catalonia, Spain) and the prevalence of asthma, respiratory symptoms and lung function in children. Children aged 6-7 (n=2672) and adolescents aged 13-14 (n=2524) residing near two large petrochemical sites and those living in a city with medium vehicular traffic were cross-sectionally compared with children from an area with low vehicular traffic and without industry. The prevalence of symptoms was measured using the International Study of Asthma and Allergies in Childhood written and video questionnaires. Lung function measurements were done in a subsample of 959 adolescents in the four areas. Multivariable analyses were done to estimate the effects of the residential area on symptoms and lung function adjusted for potential confounders. Crude prevalence of symptoms was similar across the studied areas. After adjustment, children and adolescents living near a petrochemical site had a statistically significant higher prevalence of respiratory hospitalizations in the previous year (Prevalence Ratio (PR)=1.49; 95%CI, 1.06-2.09) and of nocturnal cough (PR=1.29; 95%CI 1.05-1.57), respectively. Reduced lung function values among adolescents residing near the petrochemical areas were not observed. Although a higher prevalence of asthma in children and adolescents living near the petrochemical sites could not be demonstrated, as described in other studies, respiratory hospitalizations and nocturnal cough could be related to short-term exposures to pollutants. Other clinical and sub-clinical respiratory health effects in the petrochemical industry areas should be investigated.
Iterative Characterizations of Computable Unary Functions: A General Method

Iterative characterizations of computable unary functions are useful patterns for the definition of programming languages based on iterative constructs. The features of such a characterization depend on the pairing producing it: this paper offers an infinite class of pairings involving very nice features.
Computational Creativity: Automated Pun Generation

Humor is an integral part of our day-to-day communication making it interesting and plausible. The growing demand in robotics and the constant urge for machines to pass the Turing test to eliminate the thin line difference between human and machine behavior make it essential for machines to be able to use humor in communication. Moreover, Learning is a continuous process and very important at every stage of life. However sometimes merely reading from a book induces lassitude and lack of concentration may hamper strong foundation building. Children suffering from Autism Spectrum Disorder (ASD) suffer from slow learning and grasping issues. English being a funny language, a particular word has multiple meanings, making it difficult for children with ASD to cognize it. Solving riddles induces fast learning and sharpness in children including those affected by ASD. The existing systems however, are too far from being used in any practical application. This paper proposes a system that uses core ideas of JAPE to create puns for entertainment and vocabulary building purpose for children. General Terms Homophone: Two or more words having the same pronunciation but different meanings, origins, or spelling (e.g. new and knew) [4]. Homonym: Two or more words having the same spelling or pronunciation but different meanings and origins (e.g. pole. and pole) [5]. Rhyming words: Words that have the same ending sounds. E.g. are cat, hat, bat, mat, fat and rat [6]. Punning words: A form of word play that suggests two or more meanings, by exploiting multiple meanings of words, or of similar-sounding words, for an intended humorous or rhetorical effect [7]. Pun generator: A system that uses punning words to generate riddles/jokes with an intention of making it humorous.
COUNTERFACTUAL DECOMPOSITION OF CHANGES IN WAGE DISTRIBUTIONS USING QUANTILE REGRESSION

We propose a method to decompose the changes in the wage distribution over a period of time in several factors contributing to those changes. The method is based on the estimation of marginal wage distributions consistent with a conditional distribution estimated by quantile regression as well as with any hypothesized distribution for the covariates. Comparing the marginal distributions implied by different distributions for the covariates, one is then able to perform counterfactual exercises. The proposed methodology enables the identification of the sources of the increased wage inequality observed in most countries. Specifically, it decomposes the changes in the wage distribution over a period of time into several factors contributing to those changes, namely by discriminating between changes in the characteristics of the working population and changes in the returns to these characteristics. We apply this methodology to Portuguese data for the period 1986–1995, and find that the observed increase in educational levels contributed decisively towards greater wage inequality. Copyright  2005 John Wiley & Sons, Ltd.
Adaptive Local Power-Law Transformation for Color Image Enhancement

Color image enhancement is a very important process that has significantly impacted many portable devices, including PDAs, digital cameras, and mobile camera phones. Due to the limited memory space and computational power of portable devices, reducing the computational complexity of an embedded system is priority concern. Thus, this paper proposes an adaptive local powerlaw transformation method with low computational complexity and high performance. In order to reduce the computational time, a fast method is proposed to compute the local mean from the neighboring pixels to adapt the exponential value in the power-law transformation for enhancing the color images. The experiments reported included various color images; the results show that the performance of the proposed method is better than the compared global and local enhancement methods in terms of both non-over enhancement and natural color clearly revealed. In particular, the proposed enhancement method has low computational cost. Moreover, the proposed algorithm can be run on an embedded environment and processed in a real-time system due to its simplicity and efficiency
Evaluation of Cellular Proliferative Activity in Patients with Actinic Cheilitis through Silver-stained Nucleolar Organizer Region Method.

Introduction: Actinic cheilitis (AC) is a lesion potentially malignant that affects the lips after prolonged exposure to solar ultraviolet (UV) radiation. The present study aimed to assess and describe the proliferative cell activity, using silver-stained nucleolar organizer region (AgNOR) quantification proteins, and to investigate the potential associations between AgNORs and the clinical aspects of AC lesions. Materials and methods: Cases diagnosed with AC were selected and reviewed from Center of Histopathological Diagnosis of the Institute of Biological Sciences, Passo Fundo University, Brazil. Clinical data including clinical presentation of the patients affected with AC were collected. The AgNOR techniques were performed in all recovered cases. The different microscopic areas of interest were printed with magnification of *1000, and in each case, 200 epithelial cell nuclei were randomly selected. The mean quantity in each nucleus for NORs was recorded. One-way analysis of variance was used for statistical analysis. Results: A total of 22 cases of AC were diagnosed. The patients were aged between 46 and 75 years (mean age: 55 years). Most of the patients affected were males presenting asymptomatic white plaque lesions in the lower lip. The mean value quantified for AgNORs was 2.4 ± 0.63, ranging between 1.49 and 3.82. No statistically significant difference was observed associating the quantity of AgNORs with the clinical aspects collected from the patients (p > 0.05). Conclusion: The present study reports the lack of association between the proliferative cell activity and the clinical aspects observed in patients affected by AC through the quantification of AgNORs. Clinical significance: Knowing the potential relation between the clinical aspects of AC and the proliferative cell activity quantified by AgNORs could play a significant role toward the early diagnosis of malignant lesions in the clinical practice. Keywords: Actinic cheilitis, Proliferative cell activity, Silver-stained nucleolar organizer regions.
A daytime nap containing solely non-REM sleep enhances declarative but not procedural memory

The specialized role that sleep-specific brain physiology plays in memory processing is being rapidly clarified with a greater understanding of the dynamic, complex, and exquisitely orchestrated brain state that emerges during sleep. Behaviorally, the facilitative role of non-REM (NREM) sleep (primarily slow wave sleep) for declarative but not procedural memory performance in humans has been demonstrated in a number of nocturnal sleep studies. However, subjects in these studies were tested after periods of sleep that contained REM sleep in addition to NREM sleep, and comparison wake groups were subjected to mild sleep deprivation. To add some clarity to the findings of these nocturnal studies, we assessed performance on declarative and procedural memory tasks following a daytime training-retest interval containing either a short nap that included NREM without REM sleep, or wakefulness. Consistent with previous findings we show that, after a comparatively brief sleep episode, subjects that take a nap improve more on a declarative memory task than subjects that stay awake, but that improvement on a procedural memory task is the same regardless of whether subjects take a nap or remain awake. Slow wave sleep was the only sleep parameter to correlate positively with declarative memory improvement. These findings are discussed with reference to the general benefits of napping and within the broader context of a growing literature suggesting a role for NREM-specific physiology for the processing of declarative memory.
Electronic patient portals: evidence on health outcomes, satisfaction, efficiency, and attitudes: a systematic review.

BACKGROUND
Patient portals tied to provider electronic health record (EHR) systems are increasingly popular.


PURPOSE
To systematically review the literature reporting the effect of patient portals on clinical care.


DATA SOURCES
PubMed and Web of Science searches from 1 January 1990 to 24 January 2013.


STUDY SELECTION
Hypothesis-testing or quantitative studies of patient portals tethered to a provider EHR that addressed patient outcomes, satisfaction, adherence, efficiency, utilization, attitudes, and patient characteristics, as well as qualitative studies of barriers or facilitators, were included.


DATA EXTRACTION
Two reviewers independently extracted data and addressed discrepancies through consensus discussion.


DATA SYNTHESIS
From 6508 titles, 14 randomized, controlled trials; 21 observational, hypothesis-testing studies; 5 quantitative, descriptive studies; and 6 qualitative studies were included. Evidence is mixed about the effect of portals on patient outcomes and satisfaction, although they may be more effective when used with case management. The effect of portals on utilization and efficiency is unclear, although patient race and ethnicity, education level or literacy, and degree of comorbid conditions may influence use.


LIMITATION
Limited data for most outcomes and an absence of reporting on organizational and provider context and implementation processes.


CONCLUSION
Evidence that patient portals improve health outcomes, cost, or utilization is insufficient. Patient attitudes are generally positive, but more widespread use may require efforts to overcome racial, ethnic, and literacy barriers. Portals represent a new technology with benefits that are still unclear. Better understanding requires studies that include details about context, implementation factors, and cost.
A molecular basis underpinning the T cell receptor heterogeneity of mucosal-associated invariant T cells

Mucosal-associated invariant T (MAIT) cells express an invariant T cell receptor (TCR) α-chain (TRAV1-2 joined to TRAJ33, TRAJ20, or TRAJ12 in humans), which pairs with an array of TCR β-chains. MAIT TCRs can bind folate- and riboflavin-based metabolites restricted by the major histocompatibility complex (MHC)-related class I-like molecule, MR1. However, the impact of MAIT TCR and MR1-ligand heterogeneity on MAIT cell biology is unclear. We show how a previously uncharacterized MR1 ligand, acetyl-6-formylpterin (Ac-6-FP), markedly stabilized MR1, potently up-regulated MR1 cell surface expression, and inhibited MAIT cell activation. These enhanced properties of Ac-6-FP were attributable to structural alterations in MR1 that subsequently affected MAIT TCR recognition via conformational changes within the complementarity-determining region (CDR) 3β loop. Analysis of seven TRBV6-1(+) MAIT TCRs demonstrated how CDR3β hypervariability impacted on MAIT TCR recognition by altering TCR flexibility and contacts with MR1 and the Ag itself. Ternary structures of TRBV6-1, TRBV6-4, and TRBV20(+) MAIT TCRs in complex with MR1 bound to a potent riboflavin-based antigen (Ag) showed how variations in TRBV gene usage exclusively impacted on MR1 contacts within a consensus MAIT TCR-MR1 footprint. Moreover, differential TRAJ gene usage was readily accommodated within a conserved MAIT TCR-MR1-Ag docking mode. Collectively, MAIT TCR heterogeneity can fine-tune MR1 recognition in an Ag-dependent manner, thereby modulating MAIT cell recognition.
Quantification of 22 plasma amino acids combining derivatization and ion-pair LC-MS/MS.

Time efficient and comprehensive quantification of amino acids continues to be a challenge. We developed a sensitive and precise method for quantitative analysis of amino acids from very small plasma and serum volumes. Ion-pair chromatography of amino acid butyl esters proved to provide an optimal combination of selectivity, sensitivity and robustness. 10 μL of plasma or serum are added to precipitation reagent containing stable isotope standards. After protein precipitation, the supernatants is dried and incubated with 3N butanolic HCl for improving chromatographic separation and ionization efficiency. Amino acid butyl esters are separated using ion-pair (heptafluorobutyric acid) reversed-phase chromatography coupled to triple quadrupole mass spectrometry. The established method enables quantitative analysis of 22 amino acids, all 20 proteinogenic amino acids, ornithine and citrulline. Cysteine is measured as cystine. The combination of precipitation, derivatization and chromatographic separation effectively avoids ion suppression and coelution. Simultaneous with quantification, analyte identity is verified in each sample using qualifier ions. The micro-method is very sensitive and accurate. The intra-assay precision for the analysis of plasma was 2.6-10.1%. Absolute accuracy as determined by comparison of external reference samples was 82-117.7%. Excellent linearity of detection response was demonstrated for all compounds in the range representative for clinical samples from infants and adults. Lower limits of quantification were in the range of 1 μmol/L for all analytes. In conclusion, the method is ideally suited for cost-effective high-throughput analysis of large numbers of samples in clinical studies and metabolomics research.
ERMA's Lost Battalion

Much of General Electric's work on the ERMA system for the Bank of America has been documented by scholars and memoirists, but these accounts gloss over or ignore the application programming effort required to make this innovative system operational. This article augments the record with a first-hand account of the rest of the story.
Physical simulation for monocular 3D model based tracking

The problem of model-based object tracking in three dimensions is addressed. Most previous work on tracking assumes simple motion models, and consequently tracking typically fails in a variety of situations. Our insight is that incorporating physics models of object behaviour improves tracking performance in these cases. In particular it allows us to handle tracking in the face of rigid body interactions where there is also occlusion and fast object motion. We show how to incorporate rigid body physics simulation into a particle filter. We present two methods for this based on pose and force noise. The improvements are tested on four videos of a robot pushing an object, and results indicate that our approach performs considerably better than a plain particle filter tracker, with the force noise method producing the best results over the range of test videos.
Speckle reduction in ultrasound images by minimization of total variation

To limit the noise in an image, some techniques are based on the calculation of an average intensity in each pixel of the image by considering a some neighbor. However, these techniques tend to attenuate contours present in the image. This affect edge and particularly penalizing for the segmentation algorithms whose finality is to find contours. The restoration method by minimization of total variation, suggested by Rudin et al. (1992), consists in minimizing under constraints of the great variations present in the image while preserving contours. In this paper, we propose an adaptation of the method of Rudin et al. (1992) to the ultrasound images restoration.
Analysis of multiphase induction machines with winding faults

The paper shows how the techniques of generalized harmonic analysis may be used to simulate the steady-state behavior of a multiphase cage induction motor with any form of open-circuit or short-circuit fault in the stator winding. The analytical model is verified using a four-pole machine with a 48-slot stator. Each coil of the stator winding of this machine is brought out to a patchboard that enables the stator to be configured for single-phase, two-phase, three-phase, four-phase, six-phase, or 12-phase excitation. Experimental results are compared with computer predictions for a six-phase machine with both open-circuit and short-circuit faults.
Evaluation of Local and Global Features for Offline Signature Verification

In this paper we evaluate the impact of two stateof-the-art offline signature verification systems which are based on local and global features, respectively. It is important to take into account the real world needs of Forensic Handwriting Examiners (FHEs). In forensic scenarios, the FHEs have to make decisions not only about forged and genuine signatures but also about disguised signatures, i.e., signatures where the authentic author deliberately tries to hide his/her identity with the purpose of denial at a later stage. The disguised signatures play an important role in real forensic cases but are usually neglected in recent literaure. This is the novelty of our study and the topic of this paper, i.e., investigating the performance of automated systems on disguised signatures. Two robust offline signature verification systems are slightly improved and evaluated on publicly available data sets from previous signature verification competitions. The ICDAR 2009 offline signature verification competition dataset and the ICFHR 2010 4NSigComp signatures dataset. In our experiments we observed that global features are capable of providing good results if only a detection of genuine and forged signatures is needed. Local features, however, are much better suited to solve the forensic signature verification cases when disguised signatures are also involved. Noteworthy, the system based on local features could outperform all other participants at the ICFHR 4NSigComp 2010. Keywords-signature verification, mixture models, forgeries, disguised signatures, forensic handwriting analysis
Generating Chinese Captions for Flickr 30 K Images

We trained a Multimodal Recurrent Neural Network on Flickr30K dataset with Chinese sentences. The RNN model is from Karpathy and Fei-Fei, 2015 [6]. As Chinese sentence has no space between words, we implemented the model on Flickr30 dataset in two methods. In the first setting, we tokenized each Chinese sentence into a list of words and feed them to the RNN. While in the second one, we split each Chinese sentence into a list of characters and feed them into the same model. We compared the BLEU score achieved by our two methods to that achieved by [6]. We found that the RNN model trained with char-level method for Chinese captions outperforms the word-level one. The former method performs very close to that trained on English captions by [6]. This came to a conclusion that the RNN model works universally well, or at least the same, for image caption system on different languages.
A novel finger and hand pose estimation technique for real-time hand gesture recognition

This paper presents a high-level hand feature extraction method for real-time gesture recognition. Firstly, the fingers are modelled as cylindrical objects due to their parallel edge feature. Then a novel algorithm is proposed to directly extract fingers from salient hand edges. Considering the hand geometrical characteristics, the hand posture is segmented and described based on the finger positions, palm center location and wrist position. A weighted radial projection algorithm with the origin at the wrist position is applied to localize each finger. The developed system can not only extract extensional fingers but also flexional fingers with high accuracy. Furthermore, hand rotation and finger angle variation have no effect on the algorithm performance. The orientation of the gesture can be calculated without the aid of arm direction and it would not be disturbed by the bare arm area. Experiments have been performed to demonstrate that the proposed method can directly extract high-level hand feature and estimate hand poses in real-time. & 2015 Elsevier Ltd. All rights reserved.
Effect of online medical control on prehospital Code Stroke triage.

OBJECTIVE
Prehospital Code Stroke triage has the potential to overwhelm stroke centres by falsely identifying patients as eligible for fibrinolysis. We sought to determine whether online medical control (whereby paramedics contact the medical control physician before a Code Stroke triage is assigned) reduced the proportion of false-positive Code Stroke patients.


METHODS
Following the introduction of a protocol for prehospital Code Stroke triage in an urban centre, online medical control alternated with off-line medical control (whereby paramedics implement Code Stroke triage independently) over 4 discreet intervals. We reviewed data for patients triaged to 3 regional stroke centres to compare the proportion of false-positive Code Stroke patients during online versus off-line medical control. We predefined false positives as patients triaged as Code Stroke who had symptoms discovered on awakening, were last seen in their usual state of health greater than 2 hours before assessment or had a final diagnosis other than stroke.


RESULTS
The proportion of false positives was lower during online medical control (31% v. 42%, p = 0.003). This was explained by a lower proportion of patients whose symptoms were discovered on awakening (8% v. 14%, p < 0.001) and who were last seen in their usual state of health greater than 2 hours before assessment (22% v. 32%, p = 0.005). A final diagnosis of stroke was similar in the 2 groups (77% v. 79%, p = 0.39), as was the proportion of patients receiving fibrinolysis (35% v. 33%, p = 0.72). Eighteen percent of patients were denied Code Stroke triage during online control, most commonly because of the time of symptom onset.


CONCLUSION
Online medical control is associated with a reduced proportion of false-positive Code Stroke triage.