nils-herrmann/clean_scirepeval huggingface dataset:
Elmslie Trillat, Maquet, Fulkerson, Roux Goldthwait, and Other Distal Realignment Procedures for the Management of Patellar Dislocation: Systematic Review and Quantitative Synthesis of the Literature.
Venue: Arthroscopy the journal of arthroscopic related surgery official publication of the Arthroscopy Association of North America and the International Arthroscopy Association

To evaluate clinical outcomes, rate of recurrence, and complications following distal realignment procedures (Elmslie Trillat, Maquet, Fulkerson, Roux Goldthwait, and other distal realignment procedures) performed alone or in combination with proximal procedures for the management of patellar dislocation.  A systematic literature review was performed following the PRISMA guidelines (Preferred Reporting Items for Systematic Reviews and Meta Analyses) A search in PubMed, Medline, Cumulative Index to Nursing and Allied Health Literature (CINAHL) Cochrane, Embase, and Google Scholar databases using various combinations of the keywords "patellar," "dislocation," "tibial transfer," "Elmslie Trillat," "Roux Goldthwait," "tibial tubercle osteotomy," "Fulkerson," "Maquet," "procedure," "clinical," and "outcome."  Thirty eight articles were included in the systematic review. A total of 1,182 knees belonging to 1,023 patients were grouped according to the duration of the follow up period. The overall rate of recurrence was 7% (83 of 1,182 knees) Approximately 5.3% (28 of 520 knees) of the redislocation occurred in the short medium term, and 8.3% (55 of 662 knees) occurred in the long term.  Distal realignment procedures performed alone or in combination with proximal procedures for the management of patellar dislocation have shown good clinical outcomes and a low rate of recurrence highlighting the efficacy of these procedures. To date no randomized controlled clinical trials are available on the topic.
Innovation Accelerators As Entrepreneurial And Interdisciplinary Engines: The Portuguese Case

Today's competition is tough, due especially to emergent information systems (IS) and information technology (IT) support. Managers must continuously cope with challenges to keep their businesses innovative and sustainable. They take most of their decisions based on considerable amounts of data. An important step is to employ strategies based on open innovation: partnerships with people who know the technology better, or how to conceive or run a certain activity, product or process. All these issues and potentials have been explored and supported in the so called innovation accelerators or 'boot camps' either for launching new businesses or supporting their IT/IS platforms. These initiatives are based on a dynamic entrepreneurial and interdisciplinary ambience, which introduces the candidates (mainly start ups, spin offs) to consultants, investors, managers, designers, innovators, etc. This study determines where Portugal stands in terms of innovation in general, open innovation (cooperative or firm based) venture capital adherence and innovation sustainability. It then discusses the results of some Portuguese innovation accelerators (such as 'Beta i' and 'Cria' from the point of view of target sectors/markets and the sustainability of accelerated firms over time.
Effect of Organic Manure on Wheat Grain Yield, Nutrient Accumulation, and Translocation

A field study was conducted for two consecutive growing seasons to assess the effect of organic manure on the growth, productivity and nutrient dynamics of winter wheat (Triticum aestivum L. as well as on the concentration of trace elements in soil and wheat plants. Treatments consisted of two rates of farmyard manure (16 and 32 Mg dry weight ha 1 yr 1) one rate of inorganic fertilizer (IF, 120 kg N ha 1 yr 1 plus 80 kg P2O5 ha 1 yr 1) and an unamended control. Manure improved wheat growth and productivity compared to the unamended control; the response was dependent on the application rate. The high manure rate increased the number of spikes m 2 and resulted in grain yield similar to that of the IF. Manure application caused no changes in N, P, and K concentrations in plant tissues. At the high manure rate, N and P uptake was similar to that of the IF. Averaged across years, manure application resulted in nutrient translocation from vegetative parts to grain at a lower (for the N) or similar (for the P) rate to that of the IF. No differences among treatments in nutrient translocation efficiency were observed. Nitrogen and P translocation was correlated with total aboveground N or P accumulation at anthesis, respectively. The N use efficiency of manure N was lower compared with that of inorganic fertilizer N, mainly because of the corresponding differences in uptake efficiency. Trace elements did not increase with added manure either in soil or in wheat plant tissues.
Technical Note: spektr 3.0 A computational tool for x ray spectrum modeling and analysis
Venue: Medical physics

A computational toolkit (spektr 3.0) has been developed to calculate x ray spectra based on the tungsten anode spectral model using interpolating cubic splines (TASMICS) algorithm, updating previous work based on the tungsten anode spectral model using interpolating polynomials (TASMIP) spectral model. The toolkit includes a matlab (The Mathworks, Natick, MA) function library and improved user interface (UI) along with an optimization algorithm to match calculated beam quality with measurements.  The spektr code generates x ray spectra (photons/mm2/mAs at 100 cm from the source) using TASMICS as default (with TASMIP as an option) in 1 keV energy bins over beam energies 20 150 kV, extensible to 640 kV using the TASMICS spectra. An optimization tool was implemented to compute the added filtration (Al and W) that provides a best match between calculated and measured x ray tube output (mGy/mAs or mR/mAs) for individual x ray tubes that may differ from that assumed in TASMICS or TASMIP and to account for factors such as anode angle.  The median percent difference in photon counts for a TASMICS and TASMIP spectrum was 4.15% for tube potentials in the range 30 140 kV with the largest percentage difference arising in the low and high energy bins due to measurement errors in the empirically based TASMIP model and inaccurate polynomial fitting. The optimization tool reported a close agreement between measured and calculated spectra with a Pearson coefficient of 0.98.  The computational toolkit, spektr, has been updated to version 3.0, validated against measurements and existing models, and made available as open source code. Video tutorials for the spektr function library, UI, and optimization tool are available.
Multi infarct dementia and Alzheimer disease, contribution of cerebral circulation ultrasonography to pathogenesis and differential diagnosis. Value of microembolisation.
Venue: Neuro endocrinology letters

Dementias are one of the most serious health and socioeconomic issues. Multi infarct dementia (MID) and Alzheimer's type dementia (AD) exhibit differences in cerebrovascular blood flow velocity profiles and in presence of microemboli, detected by transcranial Doppler sonography.  A group of 77 persons was divided into 4 subgroups: 1. subgroup of patients with MID (n=19; 10 male and 9 female, mean age was 74.32+ 8.30 years) 2. subgroup of patients with AD (n=19; 11 male and 8 female, mean age was 70.37+ 87.85 years) 3. subgroup of patients with hypertension (n=19; 11 male and 8 female, age adjusted) and 4. sex and age adjusted control group (CG) of 20 persons without hypertension or other serious risk factors. The duplex ultrasonographic examination of extracranial and intracranial circulation was preceded by neurologic, neuropsychological and psychiatric examination. The presence of microemboli was determined using Multi Dop X2 device (maker DWL) 60 minutes monitoring. All patients underwent brain computer tomography (CT) or magnetic resonance imaging (MRI)  We found significantly higher incidence (68.4% p=0.5267) of asymptomatic microemboli in ACM in the group of patients with MID compared to the AD group, the group of patients with hypertension and CG.  The occurrence of "asymptomatic" emboli in the middle cerebral artery in patients with multi infarct dementia is higher in the current study. Although these microemboli do not cause immediate symptoms, the evidence suggests, that they may be a risk factor for cognitive impairment, especially for multi infarct dementia.
The Auditory Naming Test Improves Diagnosis of Naming Deficits in Dementia

Many patients with presumptive Alzheimer's disease (AD) or other dementias may show minimal impairment on the Boston Naming Test (BNT) a visual confrontation naming measure. We sought to determine whether a semantic naming test, the Auditory Naming Test (ANT) would improve accuracy for identifying naming deficits in patients diagnosed with dementia (N 458) at an outpatient memory disorders clinic. Factor analysis revealed that both tests measured the same broad construct. Frequency of naming impairment with the ANT was significantly greater than with the BNT for patients with AD, regardless of dementia severity or levels of education (p .01) Effect size was moderate (ph 0.45) BNT but not ANT performance declined with age in patients with AD. Sex differences were found for the BNT, but not the ANT, in the AD population. Accuracy rate of naming impairment diagnosis with the ANT in patients with AD was good (72% Specificity (81% and positive predictive value (PPV) (89% with the ANT in AD were excellent, whereas sensitivity (69% and negative predictive value (NPV) (58% were modest. Receiver operating characteristic with area under the curve (ROC AUC) was excellent (0.958) A similar pattern was seen in patients with vascular dementia (VaD) or mixed AD/VaD. There was no significant effect in patients with amnestic mild cognitive impairment (aMCI) It is concluded that the ANT substantially improves the ability to diagnose naming impairment in patients with AD, VaD, and mixed AD/VaD dementia, and should be included in a neuropsychological battery administered to elderly patients with suspected dementia.
Global response of Acidithiobacillus ferrooxidans ATCC 53993 to high concentrations of copper: A quantitative proteomics approach.
Venue: Journal of proteomics

UNLABELLED Acidithiobacillus ferrooxidans is used in industrial bioleaching of minerals to extract valuable metals. A. ferrooxidans strain ATCC 53993 is much more resistant to copper than other strains of this microorganism and it has been proposed that genes present in an exclusive genomic island (GI) of this strain would contribute to its extreme copper tolerance. ICPL (isotope coded protein labeling) quantitative proteomics was used to study in detail the response of this bacterium to copper. A high overexpression of RND efflux systems and CusF copper chaperones, both present in the genome and the GI of strain ATCC 53993 was found. Also, changes in the levels of the respiratory system proteins such as AcoP and Rus copper binding proteins and several proteins with other predicted functions suggest that numerous metabolic changes are apparently involved in controlling the effects of the toxic metal on this acidophile.  Using quantitative proteomics we overview the adaptation mechanisms that biomining acidophiles use to stand their harsh environment. The overexpression of several genes present in an exclusive genomic island strongly suggests the importance of the proteins coded in this DNA region in the high tolerance of A. ferrooxidans ATCC 53993 to metals.
Comment on "Language and Emotion" Metaphor, Morality and Contested Concepts

The nature of emotion concepts and whether there are any that are universally "basic" remains controversial, as acknowledged in the article "Language and Emotion." The suggestion that some emotions are embodied through a process of association between neural networks for bodily sensations (e.g. raised temperature) and neural circuitry dedicated to linguistic metaphor is interesting, but speculative. However, it is a hypothesis that risks relegating speakers of languages that lack sophisticated metaphors to a lower level on some scale of linguistic evolution.
Language and Emotion

Originally a keynote address at the International Society for Research on Emotion (ISRE) 2013 convention, this article surveys many nonobvious ways that emotion phenomena show up in natural language. One conclusion is that no classical Aristotelian definition of "emotion" in terms of necessary and sufficient conditions is possible. The brain naturally creates radial, not classical categories. As a result, "emotion" is a contested concept. There is no one correct, classical definition of "emotion." There are real emotion phenomena that can be precisely studied, and language is an important area to look at for such phenomena.
Vocabulary Manipulation for Neural Machine Translation
Venue: ACL

In order to capture rich language phenomena, neural machine translation models have to use a large vocabulary size, which requires high computing time and large memory usage. In this paper, we alleviate this issue by introducing a sentence level or batch level vocabulary, which is only a very small sub set of the full output vocabulary. For each sentence or batch, we only predict the target words in its sentence level or batch level vocabulary. Thus, we reduce both the computing time and the memory usage. Our method simply takes into account the translation options of each word or phrase in the source sentence, and picks a very small target vocabulary for each sentence based on a word to word translation model or a bilingual phrase library learned from a traditional machine translation model. Experimental results on the large scale English to French task show that our method achieves better translation performance by 1 BLEU point over the large vocabulary neural machine translation system of Jean et al. (2015)
Zhishi.lemon: On Publishing Zhishi.me as Linguistic Linked Open Data
Venue: SEMWEB

Recently, a growing number of linguistic resources in different languages have been published and interlinked as part of the Linguistic Linked Open Data (LLOD) cloud. However, in comparison to English and other prominent languages, the presence of Chinese in such a cloud is still limited, despite the fact that Chinese is the most spoken language worldwide. Publishing more Chinese language resources in the LLOD cloud can benefit both academia and industry to better understand the language itself and to further build multilingual applications that will improve the flow of data and services across countries. In this paper we describe Zhishi.lemon, a newly developed dataset based on the lemon model that constitutes the lexical realization of Zhishi.me, one of the largest Chinese datasets in the Linked Open Data (LOD) cloud. Zhishi.lemon combines the lemon core with the lemon translation module in order to build a linked data lexicon in Chinese with translations into Spanish and English. Links to BabelNet (a vast multilingual encyclopedic resource) have been provided as well. We also present a showcase of this module along with the technical details of transforming Zhishi.me to Zhishi.lemon. The dataset is accessible on the Web for both humans (via a Web interface) and software agents (with a SPARQL endpoint)
Entity Linking in Web Tables with Multiple Linked Knowledge Bases
Venue: JIST

The World Wide Web contains a large scale of valuable relational data, which are embedded in HTML tables (i.e. Web tables) To extract machine readable knowledge from Web tables, some work tries to annotate the contents of Web tables as RDF triples. One critical step of the annotation is entity linking (EL) which aims to map the string mentions in table cells to their referent entities in a knowledge base (KB) In this paper, we present a new approach for EL in Web tables. Different from previous work, the proposed approach replaces a single KB with multiple linked KBs as the sources of entities to improve the quality of EL. In our approach, we first apply a general graph based algorithm to EL in Web tables with each single KB. Then, we leverage the existing and newly learned "sameAs" relations between the entities from different KBs to help improve the results of EL in the first step. We conduct experiments on the sampled Web tables with Zhishi.me, which consists of three linked encyclopedic KBs. The experimental results show that our approach outperforms the state of the art table's EL methods in different evaluation metrics.
Automatic Identifying Entity Type in Linked Data
Venue: PACLIC

Type information is an important component of linked data. Unfortunately, many linked datasets lack of type information, which obstructs linked data applications such as question answering and recommendation. In this paper, we study how to automatically identify entity type information from Chinese linked data and present a novel approach by integrating classification and entity linking techniques. In particular, entity type information is inferred from internal clues such as entity's abstract, infobox and subject using classifiers. Moreover, external evidence is obtained from other knowledge bases using entity linking techniques. To evaluate the effectiveness of the approach, we conduct preliminary experiments on a real world linked dataset from Zhishi.me 1 Experimental results indicate that our approach is effective in identifying entity types.
Deep Exploration via Bootstrapped DQN
Venue: NIPS

Efficient exploration in complex environments remains a major challenge for reinforcement learning. We propose bootstrapped DQN, a simple algorithm that explores in a computationally and statistically efficient manner through use of randomized value functions. Unlike dithering strategies such as epsilon greedy exploration, bootstrapped DQN carries out temporally extended (or deep) exploration; this can lead to exponentially faster learning. We demonstrate these benefits in complex stochastic MDPs and in the large scale Arcade Learning Environment. Bootstrapped DQN substantially improves learning times and performance across most Atari games.
A novel approach for optimal combinations of wind, PV, and energy storage system in diesel free isolated communities

A new approach for optimal combinations of Hybrid Renewable Energy Systems (HRESs) is proposed, for diesel free remote communities and related decision making problems. The objective of the design is to satisfy the load with total cost's minimization considering related constraints, where all analytical equations are given. The proposed system is a DC configuration for renewable energy integration in which Wind Turbines (WTs) are connected to the DC bus and the battery system removes the fluctuations in the DC bus. The WT is assumed to be well controlled to obtain the power curve and provide proper electricity to the grid. It is found that WT and Photovoltaic (PV) systems should be considered simultaneously on diesel free generation islands to achieve a reliable and optimized configuration. A novel strategy is introduced for determining the range of batteries, which can be determined using the renewable energy potential to satisfy the load. It is also demonstrated that WTs are an essential power component in real HRES installations. It is illustrated that the range of WT operation must be first taken into account in real installations. Increasing WT fraction from an initial value, for instance 8% to a desired value of about 33% can lead to significant reductions in total cost as well as in the number of PV systems and batteries, even if the WT cost is significantly higher than that of PVs. A WT fraction higher than approximately 50% should not be considered. Finally, discussions are extended to consider the optimum WT fraction in a HRES.
Tutorial on Prototyping the HMI for Autonomous Vehicles: A Human Centered Design Approach
Venue: AutomotiveUI

Autonomous vehicles present Human Machine Interaction (HMI) designers and researchers with new challenges. While design decisions are typically based on financial, technical, political and personal reasons, central to novel interfaces for cars of the future is the user. Users are motivated by needs that are rooted in that which gives them meaning. Hence good design results from a process that centers on understanding users and their concerns. Over the course of a tutorial, our team will guide participants on a four hour crash course in human centered design, focusing on HMI for future autonomous vehicles. To encourage interaction, the tutorial is structured around a design thinking lens, where attendees interact through a human centered design exercise.
The University Experiences of Students with Learning Disabilities.
Venue: Learning disabilities research practice a publication of the Division for Learning Disabilities, Council for Exceptional Children

To explore the university experiences of students with learning disabilities (LD) 63,802 responses to the 2014 Student Experience in the Research University Survey were analyzed. Compared to other students, those with self reported LD (5.96% had difficulty with assignments and had more obstacles caused by non academic responsibilities and imposed by their skill levels. Students with self reported LD sensed more bias towards people with disabilities on campus, and they were less satisfied with their overall experience. Interactions between disability status and age suggested even more challenges for older students who self reported LD. Approximately one third of students who self reported LD received accommodations. The rate of accommodations was higher among individuals who were wealthy, who lived alone, and who were out of state students. Compared to students who self reported LD but reported no accommodations, those with accommodations had more contact with faculty and less difficulty with assignments.
Figure analysis: A teaching technique to promote visual literacy and active Learning
Venue: Biochemistry and molecular biology education a bimonthly publication of the International Union of Biochemistry and Molecular Biology

Learning often improves when active learning techniques are used in place of traditional lectures. For many of these techniques, however, students are expected to apply concepts that they have already grasped. A challenge, therefore, is how to incorporate active learning into the classroom of courses with heavy content, such as molecular based biology courses. An additional challenge is that visual literacy is often overlooked in undergraduate science education. To address both of these challenges, a technique called figure analysis was developed and implemented in three different levels of undergraduate biology courses. Here, students learn content while gaining practice in interpreting visual information by discussing figures with their peers. Student groups also make connections between new and previously learned concepts on their own while in class. The instructor summarizes the material for the class only after students grapple with it in small groups. Students reported a preference for learning by figure analysis over traditional lecture, and female students in particular reported increased confidence in their analytical abilities. There is not a technology requirement for this technique; therefore, it may be utilized both in classrooms and in nontraditional spaces. Additionally, the amount of preparation required is comparable to that of a traditional lecture.