LLukas22/scidocs huggingface dataset:
Notes on fridge surfaces

Drawing on ongoing ethnographic investigations into home life, this paper presents detailed findings from a preliminary examination of refrigerator surfaces. The use and organization of items on fridge surfaces are shown to be closely tied to the material properties of both fridges and their surroundings. Emphasis is placed on the importance of fridge magnets as they are seen to contribute to a fluidity and reconfigurability that make fridge surfaces unique. Building on this, it is argued that the negotiation of family relations is afforded by the presented properties of the fridge and of magnets. To conclude, we introduce some general points to consider in designing interactive surfaces for the home.
Discriminative acoustic model for improving mispronunciation detection and diagnosis in computer-aided pronunciation training (CAPT)

In this study, we propose a discriminative training algorithm to jointly minimize mispronunciation detection errors (i.e., false rejections and false acceptances) and diagnosis errors (i.e., correctly pinpointing mispronunciations but incorrectly stating how they are wrong). An optimization procedure, similar to Minimum Word Error (MWE) discriminative training, is developed to refine the ML-trained HMMs. The errors to be minimized are obtained by comparing transcribed training utterances (including mispronunciations) with Extended Recognition Networks [3] which contain both canonical pronunciations and explicitly modeled mispronunciations. The ERN is compiled by handcrafted rules, or data-driven rules. Several conclusions can be drawn from the experiments: (1) data-driven rules are more effective than hand-crafted ones in capturing mispronunciations; (2) compared with the ML training baseline, discriminative training can reduce false rejections and diagnostic errors, though false acceptances increase slightly due to a small number of false-acceptance samples in the training set.
Heritability of chronic venous disease

Varicose veins without skin changes have a prevalence of approximately 20% in Northern and Western Europe whereas advanced chronic venous insufficiency affects about 3% of the population. Genetic risk factors are thought to play an important role in the aetiology of both these chronic venous diseases (CVD). We evaluated the relative genetic and environmental impact upon CVD risk by estimating the heritability of the disease in 4,033 nuclear families, comprising 16,434 individuals from all over Germany. Upon clinical examination, patients were classified according to the CEAP guidelines as either C2 (simple varicose veins), C3 (oedema), C4 (skin changes without ulceration), C5 (healed ulceration), or C6 (active ulcers). The narrow-sense heritability (h 2) of CVD equals 17.3% (standard error 2.5%, likelihood ratio test P = 1.4 × 10−13). The proportion of disease risk attributable to age (at ascertainment) and sex, the two main risk factors for CVD, was estimated as 10.7% (Kullback–Leibler deviance R 2). The heritability of CVD is high, thereby suggesting a notable genetic component in the aetiology of the disease. Systematic population-based searches for CVD susceptibility genes are therefore warranted.
Phylogenetic relationship and virulence inference of Streptococcus Anginosus Group: curated annotation and whole-genome comparative analysis support distinct species designation

The Streptococcus Anginosus Group (SAG) represents three closely related species of the viridans group streptococci recognized as commensal bacteria of the oral, gastrointestinal and urogenital tracts. The SAG also cause severe invasive infections, and are pathogens during cystic fibrosis (CF) pulmonary exacerbation. Little genomic information or description of virulence mechanisms is currently available for SAG. We conducted intra and inter species whole-genome comparative analyses with 59 publically available Streptococcus genomes and seven in-house closed high quality finished SAG genomes; S. constellatus (3), S. intermedius (2), and S. anginosus (2). For each SAG species, we sequenced at least one numerically dominant strain from CF airways recovered during acute exacerbation and an invasive, non-lung isolate. We also evaluated microevolution that occurred within two isolates that were cultured from one individual one year apart. The SAG genomes were most closely related to S. gordonii and S. sanguinis, based on shared orthologs and harbor a similar number of proteins within each COG category as other Streptococcus species. Numerous characterized streptococcus virulence factor homologs were identified within the SAG genomes including; adherence, invasion, spreading factors, LPxTG cell wall proteins, and two component histidine kinases known to be involved in virulence gene regulation. Mobile elements, primarily integrative conjugative elements and bacteriophage, account for greater than 10% of the SAG genomes. S. anginosus was the most variable species sequenced in this study, yielding both the smallest and the largest SAG genomes containing multiple genomic rearrangements, insertions and deletions. In contrast, within the S. constellatus and S. intermedius species, there was extensive continuous synteny, with only slight differences in genome size between strains. Within S. constellatus we were able to determine important SNPs and changes in VNTR numbers that occurred over the course of one year. The comparative genomic analysis of the SAG clarifies the phylogenetics of these bacteria and supports the distinct species classification. Numerous potential virulence determinants were identified and provide a foundation for further studies into SAG pathogenesis. Furthermore, the data may be used to enable the development of rapid diagnostic assays and therapeutics for these pathogens.
Clinical trial: the effects of the proton pump inhibitor dexlansoprazole MR on daytime and nighttime heartburn in patients with non-erosive reflux disease.

BACKGROUND
The proportion of patients who respond to proton pump inhibitor (PPI) therapy is about 20% lower in those with non-erosive reflux disease (NERD) than in those with erosive oesophagitis.


AIM
To assess efficacy and safety of dexlansoprazole MR, a PPI using Dual Delayed Release technology, in NERD patients.


METHODS
In this 4-week, double-blind, placebo-controlled study, 947 NERD patients randomly received dexlansoprazole MR 30 mg, 60 mg or placebo once daily (QD). The percentages of 24-h heartburn-free days (primary) and nights without heartburn (secondary) were assessed from patients' daily diaries. Investigators also assessed symptoms. Patients completed validated quality of life and symptom severity questionnaires.


RESULTS
Dexlansoprazole MR provided significantly greater median percentages of 24-h heartburn-free days (54.9% and 50.0% for the 30- and 60-mg doses vs. 17.5% for placebo, P < 0.00001) and nights without heartburn (80.8% and 76.9% vs. 51.7%, P < 0.00001 vs. placebo). Dexlansoprazole MR also reduced symptom severity. Quality of life improvements in patients receiving dexlansoprazole MR were consistent with clinical efficacy endpoints. Percentages of patients experiencing treatment-emergent adverse events were similar among groups.


CONCLUSIONS
Dexlansoprazole MR 30 and 60 mg were superior to placebo in providing 24-h heartburn-free days and nights in NERD patients. Treatment was well tolerated.
Students' Classroom Engagement Produces Longitudinal Changes in Classroom Motivation

Changes in motivation anticipate changes in engagement, but the present study tested the reciprocal relation that changes in students’ classroom engagement lead to corresponding longitudinal changes in their classroom motivation. Achievement scores and multiple measures of students’ course-specific motivation (psychological need satisfaction, self-efficacy, and mastery goals) and engagement (behavioral, emotional, cognitive, and agentic aspects) were collected from 313 (213 females, 100 males) Korean high school students using a 3-wave longitudinal research design. Two key findings emerged from a multilevel structural equation modeling analysis: (a) Students’ initial classroom engagement predicted corresponding longitudinal changes in all 3 midsemester motivations, and (b) early semester changes in engagement predicted corresponding longitudinal changes in end-of-semester psychological need satisfaction and self-efficacy, but not mastery goals. Changes in engagement also predicted course achievement. These findings reveal the underappreciated benefits that high-quality classroom engagement contributes to the understanding, prediction, and potential facilitation of constructive changes in students’ in-course motivation.
A Sub-nW 2.4 GHz Transmitter for Low Data-Rate Sensing Applications

This paper presents the design of a narrowband transmitter and antenna system that achieves an average power consumption of 78 pW when operating at a duty-cycled data rate of 1 bps. Fabricated in a 0.18 μm CMOS process, the transmitter employs a direct-RF power oscillator topology where a loop antenna acts as a both a radiative and resonant element. The low-complexity single-stage architecture, in combination with aggressive power gating techniques and sizing optimizations, limited the standby power of the transmitter to only 39.7 pW at 0.8 V. Supporting both OOK and FSK modulations at 2.4 GHz, the transmitter consumed as low as 38 pJ/bit at an active-mode data rate of 5 Mbps. The loop antenna and integrated diodes were also used as part of a wireless power transfer receiver in order to kick-start the system power supply prior to energy harvesting operation.
CLASSICAL ELECTRON THEORY AND CONSERVATION LAWS

‘Classical electron theory’ aims at a consistent description of the dynamics of electromagnetic fields and charged particles. While already equipped with some heuristic rules to the effect that charged particles occur in stable, ‘quantized’ atomic units, classical electron theory is dynamically a pre-quantum theory, built on Maxwell’s electromagnetism, Newton’s or Einstein’s classical mechanics, and the Lorentz force law [20]. It originated around the time of J.J. Thomson’s discovery of the corpuscular nature of cathode rays [37] with the work of H. A. Lorentz [21], just before the advent of relativity [23,8,28,25], and is most prominently associated with the names of Lorentz [21,22] and Abraham [1] (see also [2,24,33]). Since the simplest classical mathematical structure for an atomic charge, the point charge, produces infinite Lorentz self-forces and electromagnetic self-energies associated with the singularities of the Liénard-Wiechert electromagnetic field [19,40] of a moving point charge, Abraham and Lorentz were led to consider models with extended microscopic charges that experience a volume-averaged Lorentz force. While problems of how to bring classical electron theory in line with special relativity still persisted [28,24,11], quantum mechanics was invented, and classical electron theory dropped from the list of contenders for a fundamental theory of electromagnetic matter and fields. Nowadays classical electron theory has degenerated into a subject of mere historical value — so it would seem, especially in view of the impressive range of electromagnetic phenomena covered with spectacular precision by Quantum Electrodynamics (QED) [13,5]. However, classical electron theory has continually been revisited by physicists, an incomplete list being [11,7,30,26,31,32,41,12]. One reason, apparently, is that the perturbative series defining QED, while renormalizable in each order [9], is most likely to be merely asymptotic in character rather than convergent [10], such that precision results are achieved only when computations are terminated after a few iterations, with no rules as to what is meant by ‘few’. As R. Peierls put it, [27]: “because the use, as basic principle, of a semiconvergent series is unsatisfactory, there is still interest in theories that avoid singularities.”
About the Workers and For the Workers

A Short History of the US Working Class by Paul Le Blanc and The Working Class Movement in America by Eleanor Marx and Edward Aveling This article can also be found at the Monthly Review website , where most recent articles are published in full. Click here to purchase a PDF version of this article at the Monthly Review website.
How citation distortions create unfounded authority: analysis of a citation network

OBJECTIVE
To understand belief in a specific scientific claim by studying the pattern of citations among papers stating it.


DESIGN
A complete citation network was constructed from all PubMed indexed English literature papers addressing the belief that beta amyloid, a protein accumulated in the brain in Alzheimer's disease, is produced by and injures skeletal muscle of patients with inclusion body myositis. Social network theory and graph theory were used to analyse this network.


MAIN OUTCOME MEASURES
Citation bias, amplification, and invention, and their effects on determining authority.


RESULTS
The network contained 242 papers and 675 citations addressing the belief, with 220,553 citation paths supporting it. Unfounded authority was established by citation bias against papers that refuted or weakened the belief; amplification, the marked expansion of the belief system by papers presenting no data addressing it; and forms of invention such as the conversion of hypothesis into fact through citation alone. Extension of this network into text within grants funded by the National Institutes of Health and obtained through the Freedom of Information Act showed the same phenomena present and sometimes used to justify requests for funding.


CONCLUSION
Citation is both an impartial scholarly method and a powerful form of social communication. Through distortions in its social use that include bias, amplification, and invention, citation can be used to generate information cascades resulting in unfounded authority of claims. Construction and analysis of a claim specific citation network may clarify the nature of a published belief system and expose distorted methods of social citation.
Comparative ecology of Neotropical bird lice (Insecta: Phthiraptera)

1. Data are presented comprising the first quantitative survey of lice from Neotropical birds. The data were collected in the Andean foothills of south-eastern Peru using a novel scheme for quantitative sampling of ectoparasites from freshly killed hosts. 2. In total, 685 birds representing 127 species in 26 families were sampled for lice; 327 (47.7%) birds were parasitized, with a mean intensity of 6-6 lice per bird and a mean richness of 1.1 louse species per host species. 3. The bulk of variation in louse load was among host species nested within genera, although some variation occurred at higher taxonomic levels. 4. Lice were extremely host-specific; nearly all species were restricted to a single species of host (monoxenous). 5. Thirteen metapopulations of lice (10%) had significantly skewed sex ratios, of which four were skewed toward males, representing the first male-biased sex ratios reported for chewing lice. Thirty-four metapopulations (27%) had significantly skewed age ratios and showed an overall bias toward adults. 6. Results are discussed in relation to current life-history theory and are compared with the findings of a recent survey of lice from temperate-zone birds. Tropical lice are neither more speciose nor more abundant than temperate-zone lice, which is consistent with the view that the environment for chewing lice is delimited by the body of the host rather than by 'external' conditions. 7. Non-quantitative host-parasite records are reported for lice collected from an additional 75 birds representing 45 species in 20 families.
Macroesthetic elements of smile design.

BACKGROUND
Clinicians' expanding use of cosmetic restorative procedures has generated greater interest in the determination of esthetic guidelines and standards. The overall esthetic impact of a smile can be divided into four specific areas: gingival esthetics, facial esthetics, microesthetics and macroesthetics. In this article, the authors focus on the principles of macroesthetics, which represents the relationships and ratios of relating multiple teeth to each other, to soft tissue and to facial characteristics.


CASE DESCRIPTION
The authors categorize macroesthetic criteria based on two reference points: the facial midline and the amount and position of tooth reveal. The facial midline is a critical reference position for determining multiple design criteria. The amount and position of tooth reveal in various views and lip configurations also provide valuable guidelines in determining esthetic tooth positions and relationships.


CLINICAL IMPLICATIONS
Esthetics is an inherently subjective discipline. By understanding and applying simple esthetic rules, tools and strategies, dentists have a basis for evaluating natural dentitions and the results of cosmetic restorative procedures. Macroesthetic components of teeth and their relationship to each other can be influenced to produce more natural and esthetically pleasing restorative care.
Deviant Workplace Behavior in Organizations : Antecedents , Influences , and Remedies “

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Sentiment Polarity Detection for Software Development

The role of sentiment analysis is increasingly emerging to study software developers’ emotions by mining crowd-generated content within social software engineering tools. However, off-the-shelf sentiment analysis tools have been trained on non-technical domains and general-purpose social media, thus resulting in misclassifications of technical jargon and problem reports. Here, we present Senti4SD, a classifier specifically trained to support sentiment analysis in developers’ communication channels. Senti4SD is trained and validated using a gold standard of Stack Overflow questions, answers, and comments manually annotated for sentiment polarity. It exploits a suite of both lexicon- and keyword-based features, as well as semantic features based on word embedding. With respect to a mainstream off-the-shelf tool, which we use as a baseline, Senti4SD reduces the misclassifications of neutral and positive posts as emotionally negative. To encourage replications, we release a lab package including the classifier, the word embedding space, and the gold standard with annotation guidelines.
Predictive factors for the outcome of anterior cervical decompression and fusion

 In a prospective study, 103 patients were randomised to anterior cervical decompression and fusion (ACDF) with a cervical carbon-fibre intervertebral fusion cage or the Cloward procedure. Preoperative background variables, active range of neck motion, handgrip strength, radiological evaluation and subjective variables were used in a multiple regression model to find the strongest predictors of postoperative outcome as measured by current pain intensity and the Neck Disability Index (NDI). Male sex, greater kyphosis at the level operated on, non-smoking, a greater neck mobility in right rotation, low disability on NDI, and older age were predictors of pain reduction and explained 30% of current pain intensity at follow-up. Higher educational level, non-smoking, greater kyphosis at the level operated on, a greater flexion mobility, greater right handgrip strength and lower current pain intensity were predictors of improvement, and explained 28% of the postoperative outcome on NDI. The most important predictor for postoperative pain intensity was the magnitude of the preoperative kyphosis. Preoperative pain intensity was the most important predictor for improved NDI. At follow-up about 70% of the patients still had deficit based on current pain intensity and NDI, and 44% had remaining dysfunction based on Odom's criteria. In conclusion, the multivariate analysis shows that male sex, non-smoking, greater segmental kyphosis and a low pain and disability level are preoperative predictors of a good outcome in ACDF. In addition, the study suggests the importance of other predictive variables than those studied for the outcome of ACDF.
An automated FX trading system using adaptive reinforcement learning

This paper introduces adaptive reinforcement learning (ARL) as the basis for a fully automated trading system application. The system is designed to trade foreign exchange (FX) markets and relies on a layered structure consisting of a machine learning algorithm, a risk management overlay and a dynamic utility optimization layer. An existing machine-learning method called recurrent reinforcement learning (RRL) was chosen as the underlying algorithm for ARL. One of the strengths of our approach is that the dynamic optimization layer makes a fixed choice of model tuning parameters unnecessary. It also allows for a risk-return trade-off to be made by the user within the system. The trading system is able to make consistent gains out-of-sample while avoiding large draw-downs. q 2005 Elsevier Ltd. All rights reserved.
MULTIBAND FOLDED LOOP ANTENNA FOR SMART PHONES

This paper presents a multiband folded loop antenna for smart phone applications. The proposed antenna with a symmetric loop pattern generates four resonance modes in the design bands. The current distributions of the excited resonance modes are analyzed to confirm the mode characteristic. Using a pair of tuning elements near the feed port, the impedance bandwidth is broadened to cover GSM850/GSM900/DCS/PCS/UMTS bands. This research performed simulation by a high frequency structure simulator (HFSS) to optimally design the antenna, and a practical structure was constructed to test. The current study measured the antenna parameters including reflection coefficient, radiation characteristics, peak gain, and radiation efficiency to validate the proposed antenna.
Peer assessment in musical performance: the development, trial and evaluation of a methodology for the Australian tertiary environment

This article outlines the development and trial of peer assessment procedures for implementation within a music performance context in the Australian tertiary environment. An overview of the literature on peer assessment is presented, followed by reference to specific trials of peer assessment within a tertiary music student context. The paper then presents the rationale for and methodology applied in developing two forms of peer assessment of music performance, for trial across one academic year. Student evaluation data obtained via midand end-of-year questionnaires are analysed and discussed, as are implications for further research.