nils-herrmann/clean_scirepeval huggingface dataset:
Query Expansion in Information Retrieval Systems using a Bayesian Network-Based Thesaurus

Information Retrieval (IR) is concerned with the identification of documents in a collec­ tion that are relevant to a given information need, usually represented as a query contain­ ing terms or keywords, which are supposed to be a good description of what the user is look­ ing for. IR systems may improve their effect­ iveness (i.e., increasing the number of relev­ ant documents retrieved) by using a process of query expansion, which automatically adds new terms to the original query posed by an user. In this paper we develop a method of query expansion based on Bayesian networks. Using a learning algorithm, we construct a Bayesian network that represents some of the relationships among the terms appearing in a given document collection; this network is then used as a thesaurus (specific for that col­ lection). We also report the results obtained by our method on three standard test collec­ tions.
Incremental Learning in Deep Convolutional Neural Networks Using Partial Network Sharing

Deep convolutional neural network (DCNN) based supervised learning is a widely practiced approach for large-scale image classification. However, retraining these large networks to accommodate new, previously unseen data demands high computational time and energy requirements. Also, previously seen training samples may not be available at the time of retraining. We propose an efficient training methodology and incrementally growing DCNN to allow new classes to be learned while sharing part of the base network. Our proposed methodology is inspired by transfer learning techniques, although it does not forget previously learned classes. An updated network for learning new set of classes is formed using previously learned convolutional layers (shared from initial part of base network) with addition of few newly added convolutional kernels included in the later layers of the network. We evaluated the proposed scheme on several recognition applications. The classification accuracy achieved by our approach is comparable to the regular incremental learning approach (where networks are updated with new training samples only, without any network sharing), while achieving energy efficiency, reduction in storage requirements, memory access and training time.
Reputation Inflation : Evidence from an Online Labor Market

Average public feedback scores given to sellers have increased strongly over time in an online labor market. Changes in marketplace composition or improved seller performance cannot fully explain this trend. We propose that two factors inflated reputations: (1) it costs more to give bad feedback than good feedback and (2) this cost to raters is increasing in the cost to sellers from bad feedback. Together, (1) and (2) can lead to an equilibrium where feedback is always positive, regardless of performance. In response, the marketplace encouraged buyers to additionally give private feedback. This private feedback was substantially more candid and more predictive of future worker performance. When aggregates of private feedback about each job applicant were experimentally provided to employers as a private feedback score, employers used these scores when making screening and hiring decisions.
Rheumatoid arthritis joint progression in sustained remission is determined by disease activity levels preceding the period of radiographic assessment.

Joint damage is related to disease activity in rheumatoid arthritis (RA), but the degree of its progression and the temporal associations between disease activity and joint damage are unclear. The aim of this study was to evaluate whether there is a latency in the effect of disease activity on radiographic progression in patients with RA.



Data were obtained from the PREMIER trial, a 2-year randomized, controlled clinical trial of adalimumab plus methotrexate versus methotrexate alone or adalimumab alone in early RA. Radiographic progression of joint damage was calculated using the modified total Sharp score in a subset of patients whose disease was in remission (Simplified Disease Activity Index<or=3.3) in the second year of the trial. The progression of damage in the second year was compared between groups of patients whose disease was already in remission for an additional period of 3, 6, or 9 months during the first year. Analysis of variance was used to test for a linear trend.



Among 794 patients with early RA, 119 (15%) achieved sustained remission during the second year, with no difference in radiographic progression across the 3 treatment groups. Radiographic progression in the second year was significantly different between patients with 3, 6, or 9 additional months of remission during year 1 (mean change in the modified Sharp score 1.19 in those with 3 additional months of remission versus 0.20 in those with 6 additional months of remission and -0.32 in those with 9 additional months of remission; P<0.05). The results were supported by similar findings in a series of sensitivity analyses.



These data indicate that the level of disease activity as well as the duration of remission affect subsequent progression of radiographic damage in RA. This latency between disease activity and its effects on radiographic progression should be considered when evaluating radiographic outcomes in trials of RA.
Author ' s personal copy Age differences in perceptions of online community participation among non-users : An extension of the Technology Acceptance Model

This study examined age differences in perceptions of online communities held by people who were not yet participating in these relatively new social spaces. Using the Technology Acceptance Model (TAM), we investigated the factors that affect future intention to participate in online communities. Our results supported the proposition that perceived usefulness positively affects behavioral intention, yet it was determined that perceived ease of use was not a significant predictor of perceived usefulness. The study also discovered negative relationships between age and Internet self-efficacy and the perceived quality of online community websites. However, the moderating role of age was not found. The findings suggest that the relationships among perceived ease of use, perceived usefulness, and intention to participate in online communities do not change with age. Theoretical and practical implications and limitations were discussed. ! 2010 Elsevier Ltd. All rights reserved.
A dual system model of preferences under risk.

This article presents a dual system model (DSM) of decision making under risk and uncertainty according to which the value of a gamble is a combination of the values assigned to it independently by the affective and deliberative systems. On the basis of research on dual process theories and empirical research in Hsee and Rottenstreich (2004) and Rottenstreich and Hsee (2001) among others, the DSM incorporates (a) individual differences in disposition to rational versus emotional decision making, (b) the affective nature of outcomes, and (c) different task construals within its framework. The model has good descriptive validity and accounts for (a) violation of nontransparent stochastic dominance, (b) fourfold pattern of risk attitudes, (c) ambiguity aversion, (d) common consequence effect, (e) common ratio effect, (f) isolation effect, and (g) coalescing and event-splitting effects. The DSM is also used to make several novel predictions of conditions under which specific behavior patterns may or may not occur.
Color fidelity and visibility enhancement of underwater image de-hazing by enhanced fuzzy intensification operator

This paper presents an optimization based algorithm for underwater image de-hazing problem. Underwater image de-hazing is the most prominent area in research. Underwater images are corrupted due to absorption and scattering. With the effect of that, underwater images have the limitation of low visibility, low color and poor natural appearance. To avoid the mentioned problems, Enhanced fuzzy intensification method is proposed. For each color channel, enhanced fuzzy membership function is derived. Second, the correction of fuzzy based pixel intensification is carried out for each channel to remove haze and to enhance visibility and color. The post processing of fuzzy histogram equalization is implemented for red channel alone when the captured image is having highest value of red channel pixel values. The proposed method provides better results in terms maximum entropy and PSNR with minimum MSE with very minimum computational time compared to existing methodologies.
Flexible and Wearable Hand Exoskeleton and Its Application to Computer Mouse

This paper proposes a flexible and wearable hand exoskeleton which can be used as a computer mouse. The hand exoskeleton is developed based on a new concept of wearable mouse. The wearable mouse, which consists of flexible bend sensor, accelerometer and bluetooth, is designed for comfortable and supple usage. To demonstrate the effectiveness of the proposed wearable mouse, experiments are carried out for mouse operation consisting of click, cursor movement and wireless communication. The experimental results show that our wearable mouse is more accurate than a standard mouse.
Towards a Method for Mobile Learning Design

Mobile learning provides unique learning experiences for learners in both formal and informal environments, supporting various pedagogies with the unique characteristics that are afforded by mobile technology. Mobile learning, as a growing topic of interest, brings challenges of design for teachers and course designers alike. Current research on mobile learning has covered various aspects such as personalization, context sensitivity, ubiquity and pedagogy. Existing theories and findings are valuable to the understanding of mobile learning, however they are fragmented and separate, and need to be understood within the broader mobile learning paradigm. This paper unifies existing theories into a method for mobile learning design that can be generalized across mobile learning applications. This method develops from a strategy – seeking objectives, identifying the approaches to learning and the context in which the course will exist, to guide the content, delivery and structure of the course towards a successful implementation that is evaluated against the initial objectives set out.
Multi-task Survival Analysis

Collecting labeling information of time-to-event analysis is naturally very time consuming, i.e., one has to wait for the occurrence of the event of interest, which may not always be observed for every instance. By taking advantage of censored instances, survival analysis methods internally consider more samples than standard regression methods, which partially alleviates this data insufficiency problem. Whereas most existing survival analysis models merely focus on a single survival prediction task, when there are multiple related survival prediction tasks, we may benefit from the tasks relatedness. Simultaneously learning multiple related tasks, multi-task learning (MTL) provides a paradigm to alleviate data insufficiency by bridging data from all tasks and improves generalization performance of all tasks involved. Even though MTL has been extensively studied, there is no existing work investigating MTL for survival analysis. In this paper, we propose a novel multi-task survival analysis framework that takes advantage of both censored instances and task relatedness. Specifically, based on two common used task relatedness assumptions, i.e., low-rank assumption and cluster structure assumption, we formulate two concrete models, COX-TRACE and COX-cCMTL, under the proposed framework, respectively. We develop efficient algorithms and demonstrate the performance of the proposed multi-task survival analysis models on the The Cancer Genome Atlas (TCGA) dataset. Our results show that the proposed approaches can significantly improve the prediction performance in survival analysis and can also discover some inherent relationships among different cancer types.
Hydrolysis of Fucoidan by Fucoidanase Isolated from the Marine Bacterium, Formosa algae

Intracellular fucoidanase was isolated from the marine bacterium, Formosa algae strain KMM 3553. The first appearance of fucoidan enzymatic hydrolysis products in a cell-free extract was detected after 4 h of bacterial growth, and maximal fucoidanase activity was observed after 12 h of growth. The fucoidanase displayed maximal activity in a wide range of pH values, from 6.5 to 9.1. The presence of Mg2+, Ca2+ and Ba2+ cations strongly activated the enzyme; however, Cu2+ and Zn2+ cations had inhibitory effects on the enzymatic activity. The enzymatic activity of fucoidanase was considerably reduced after prolonged (about 60 min) incubation of the enzyme solution at 45 °C. The fucoidanase catalyzed the hydrolysis of fucoidans from Fucus evanescens and Fucus vesiculosus, but not from Saccharina cichorioides. The fucoidanase also did not hydrolyze carrageenan. Desulfated fucoidan from F. evanescens was hydrolysed very weakly in contrast to deacetylated fucoidan, which was hydrolysed more actively compared to the native fucoidan from F. evanescens. Analysis of the structure of the enzymatic products showed that the marine bacteria, F. algae, synthesized an α-l-fucanase with an endo-type action that is specific for 1→4-bonds in a polysaccharide molecule built up of alternating three- and four-linked α-l-fucopyranose residues sulfated mainly at position 2.
Automating HAZOP studies using D-higraphs

In this paper, we present the use of D-higraphs to perform HAZOP studies. D-higraphs is a formalism that includes in a single model the functional as well as the structural (ontological) components of any given system. A tool to perform a semi-automatic guided HAZOP study on a process plant is presented. The diagnostic system uses an expert system to predict the behavior modeled using D-higraphs. This work is applied to the study of an industrial case and its results are compared with other similar approaches proposed in previous studies. The analysis shows that the proposed methodology fits its purpose enabling causal reasoning that explains causes and consequences derived from deviations, it also fills some of the gaps and drawbacks existing in previous reported HAZOP assistant tools.
“ Crossed-Field ” and “ EH ” Antennas Including Radiation from the Feed Lines and Reflection from the Earth ’ s Surface

An ongoing challenge in electrical engineering is the design of antennas whose size is small compared to the broadcast wavelength λ. One difficulty is that the radiation resistance of a small antenna is small compared to that of the typical transmission lines that feed the antenna, so that much of the power in the feed line is reflected off the antenna rather than radiated unless a matching network is used at the antenna terminals (with a large inductance for a small dipole antenna and a large capacitance for a small loop antenna). The radiation resistance of an antenna that emits dipole radiation is proportional to the square of the peak (electric or magnetic) dipole moment of the antenna. This dipole moment is roughly the product of the peak charge times the length of the antenna in the case of a linear (electric) antenna, and is the product of the peak current times the area of the antenna in the case of a loop (magnetic) antenna. Hence, it is hard to increase the radiation resistance of small linear or loop antennas by altering their shapes. One suggestion for a small antenna is the so-called “crossed-field” antenna . Its proponents are not very explicit as to the design of this antenna, so this problem is based on a conjecture as to its motivation. It is well known that in the far zone of a dipole antenna the electric and magnetic fields have equal magnitudes (in Gaussian units), and their directions are at right angles to each other and to the direction of propagation of the radiation. Furthermore, the far zone electric and magnetic fields are in phase. The argument is, I believe, that it is desirable if these conditions could also be met in the near zone of the antenna. The proponents appear to argue that in the near zone the magnetic field B is in phase with the current in a simple, small antenna, while the electric field E is in phase with the charge, but the charge and current have a 90◦ phase difference. Hence, they imply, the electric and magnetic fields are 90◦ out of phase in the near zone, so that the radiation (which is proportional to E× B) is weak. The concept of the “crossed-field” antenna seems to be based on the use of two small antennas driven 90◦ out of phase. The expectation is that the electric field of one of the A center-fed linear dipole antenna of total length l λ has radiation resistance Rlinear = (l/λ) 197 Ω, while a circular loop antenna of diameter d λ has Rloop = (d/λ) 1948 Ω. For example, if l = d = 0.1λ then Rlinear = 2 Ω and Rloop = 0.2 Ω. That there is little advantage to so-called small fractal antennas is explored in . A variant based on combining a small electric dipole antenna with a small magnetic dipole (loop) antenna has been proposed by .
Racial Disparity in Natural Language Processing: A Case Study of Social Media African-American English

We highlight an important frontier in algorithmic fairness: disparity in the quality of natural language processing algorithms when applied to language from authors of dierent social groups. For example, current systems sometimes analyze the language of females and minorities more poorly than they do of whites and males. We conduct an empirical analysis of racial disparity in language identication for tweets wrien in African-American English, and discuss implications of disparity in NLP.
Phase-coherent , injection-seeded , table-top soft-X-ray lasers at 18 . 9 nm and 13 . 9 nm

Y. WANG, E. GRANADOS, F. PEDACI, D. ALESSI, B. LUTHER, M. BERRILL AND J.  National Science Foundation Engineering Research Center for Extreme Ultraviolet Science and Technology and Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, Colorado 80523, USA Department of Physics, Colorado State University, Fort Collins, Colorado 80523, USA *e-mail: rocca@engr.colostate.edu
Memantine improves attention and episodic memory in Parkinson's disease dementia and dementia with Lewy bodies.

In both dementia with Lewy bodies (DLB) and Parkinson's disease dementia (PDD), attentional dysfunction is a core clinical feature together with disrupted episodic memory. This study evaluated the cognitive effects of memantine in DLB and PDD using automated tests of attention and episodic memory.



A randomised double-blind, placebo-controlled, 24-week three centre trial of memantine (20 mg/day) was conducted in which tests of attention (simple and choice reaction time) and word recognition (immediate and delayed) from the CDR System were administered prior to dosing and again at 12 and 24 weeks. Although other results from this study have been published, the data from the CDR System tests were not included and are presented here for the first time.



Data were available for 51 patients (21 DLB and 30 PDD). In both populations, memantine produced statistically significant medium to large effect sized improvements to choice reaction time, immediate and delayed word recognition.



These are the first substantial improvements on cognitive tests of attention and episodic recognition memory identified with memantine in either DLB or PDD.
Perspectives of Mothers of Transgender and Gender-Nonconforming Children With Autism Spectrum Disorder.

This study represents findings from interviews at two time points with three mothers of transgender and gender-nonconforming (TGNC) children (ages 8 to 12 years at T1) with autism spectrum disorder (ASD). Of interest was the mothers' experiences of raising a TGNC child with ASD, and whether/how the children's autism played a role in their understandings of their children's gender identities and expressions. The mothers' fear of a transphobic/cisnormative society and wondering about whether their children's ASD influenced or caused their children's gender variance were barriers to fully embracing their children's gender nonconformity. Unclear causes of children's social/emotional difficulties and lack of adequate resources and support were identified challenges. Positive interventions and resources were also discussed. Recommendations for clinicians and other professionals who serve TGNC youth with autism and their families are presented.
Medical messages in the media--barriers and solutions to improving medical journalism.

Medical issues are widely reported in the mass media. These reports influence the general public, policy makers and health-care professionals. This information should be valid, but is often criticized for being speculative, inaccurate and misleading. An understanding of the obstacles medical reporters meet in their work can guide strategies for improving the informative value of medical journalism.



To investigate constraints on improving the informative value of medical reports in the mass media and elucidate possible strategies for addressing these.



We reviewed the literature and organized focus groups, a survey of medical journalists in 37 countries, and semi-structured telephone interviews.



We identified nine barriers to improving the informative value of medical journalism: lack of time, space and knowledge; competition for space and audience; difficulties with terminology; problems finding and using sources; problems with editors and commercialism. Lack of time, space and knowledge were the most common obstacles. The importance of different obstacles varied with the type of media and experience. Many health reporters feel that it is difficult to find independent experts willing to assist journalists, and also think that editors need more education in critical appraisal of medical news. Almost all of the respondents agreed that the informative value of their reporting is important. Nearly everyone wanted access to short, reliable and up-to-date background information on various topics available on the Internet. A majority (79%) was interested in participating in a trial to evaluate strategies to overcome identified constraints.



Medical journalists agree that the validity of medical reporting in the mass media is important. A majority acknowledge many constraints. Mutual efforts of health-care professionals and journalists employing a variety of strategies will be needed to address these constraints.
Environmental Factors and Rheumatic Heart Disease in Fiji

Rheumatic heart disease (RHD) is an important cause of cardiac morbidity and mortality globally, particularly in the Pacific region. Susceptibility to RHD is thought to be due to genetic factors that are influenced by environmental factors, such as crowding and poverty. However, there are few data relating to these environmental factors in the Pacific region. We conducted a case-control study of 80 cases of RHD with age- and sex-matched controls in Fiji using a questionnaire to investigate associations of RHD with a number of environmental factors. There was a trend toward increased risk of RHD in association with poor-quality housing and lower socioeconomic status, but only one factor, maternal unemployment, reached statistical significance (OR 2.6, 95% confidence interval 1.2–5.8). Regarding crowding, little difference was observed between the two groups. Although our data do not allow firm conclusions, they do suggest that further studies of socioeconomic factors and RHD in the Pacific are warranted. They also suggest that genetic studies would provide an insight into susceptibility to RHD in this population.