nils-herrmann/clean_scirepeval huggingface dataset:
Salvatore Gaspa. "State Theology and Royal Ideology of the Neo Assyrian Empire as a Structuring Model for the Achaemenid Imperial Religion"
Venue: Abstracta Iranica
Year: 2019

L'etude du paysage religieux a l'epoque achemenide, question centrale de cet ouvrage collectif, est abordee ici dans la perspective des phenomenes d'elaboration du discours imperial achemenide, en rapport avec les systemes politico religieux elamite, babylonien et assyrien. L'A. definit surtout ce dernier comme un modele structurant pour l'empire achemenide, en apportant des exemples concrets de cette transmission, autant au niveau linguistique qu'iconographique et archeologique. L'ideolo.
Segmentation of Multivariate Industrial Time Series Data Based on Dynamic Latent Variable Predictability
Venue: IEEE Access
Year: 2020

Time series segmentation is an important vehicle of data mining and extensively applied in the areas of machine learning and anomaly detection. In real world tasks, dynamics widely exist in time series but have been little concerned. This paper proposes an algorithm which can partition a multivariate time series into subsequences at points where the dynamics change. In process industries, the change of dynamics often relates to operation regime change, working condition shifting or faults. Therefore, to segment time series according to change of dynamics can be useful in data preprocessing and getting deep insight of the process in various industrial process monitoring tasks. The proposed algorithm recursively merges neighborhood subsequences through a heuristic bottom up procedure. The cost of merging is defined as the mutual predictability of the subsequence models which are constructed using the dynamic inner principal component analysis algorithm. Then, the goal becomes finding the segmentation scheme which minimizes the averaged dynamic prediction errors of each subsequence model. The proposed algorithm is evaluated on both simulated data and the time series data collected from an industrial processing plant. The results show that it outperforms the static principal component analysis based methods.
Simultaneous population fluctuations of rodents in montane forests and alpine meadows suggest indirect effects of tree masting
Venue: Journal of Mammalogy
Year: 2018

Resource pulses can generate cross habitat dispersal of consumers, and therefore affect organisms even in areas where the resource pulses do not occur. We investigated this phenomenon at the elevational treeline in the Carpathian Mountains, where beech (Fagus sylvatica) masting caused an increase in abundance of forest rodents and intensified their use of alpine meadows. We tested 3 hypotheses concerning the impact of forest rodent spillover on the abundance of meadow dwelling pine voles (Microtus subterraneus) 1) the competition hypothesis: if the spillover affects pine voles mostly through intensified competitive interactions, then pine voles should decline when forest rodents reach their peak abundance, i.e. 1 year after masting; 2) the apparent competition hypothesis: if predators switch to alternative prey when populations of forest rodents collapse, then pine voles should decline 2 years after masting; and 3) the apparent mutualism hypothesis: if the increase of forest rodents temporarily releases pine voles from predatory pressure, pine voles should increase in synchrony with forest rodents 1 year after masting. Our results, while correlative in nature, supported the apparent mutualism hypothesis: 1 year after masting, both forest rodents and pine voles strongly increased their abundance. Two years after masting, when populations of forest rodents crashed, abundance of pine voles returned to pre masting levels rather than collapse. These findings suggest that pulsed spillover, known mostly from negative effects on organisms in recipient habitats, can also create indirect positive interactions. Furthermore, they illustrate how density dependent spillover of animals might increase the spatial scale of masting effects beyond the habitats where seeds are released.
Turbulent Inflow Noise Prediction from Wind Turbine Blades
Year: 2017

In general, wind turbine blades operate in subsonic regions along with turbulent flow conditions. This paper deals with noise due to turbulent inflow around the blades based on Amiet's and Lowson's model formulation .This mechanism is predicted using numerical simulation for different observer azimuth positions and various rotor speeds of turbine. The influence of turbulence intensity, length scales on the sound pressure levels is illustrated. The effect of blade geometry characteristics on sound pressure levels is implemented. The influence on power production from wind turbine due to the reduction in sound power levels are correlated with the modified blade geometry. The total noise from turbulent boundary layer trailing edge and turbulent inflow mechanisms are compared for three turbines of sizes, 350kW, 2MW 3MW. Overall sound pressure levels are dominated by the inflow turbulence mechanism. The amplitude modulation is calculated using the sound pressure levels obtained and illustrated for predominantly low and medium range frequencies in octave spectra.
Medical Image Processing Based on Mathematical Morphology
Year: 2012

In the thesis, the author proposes an approach of image processing based on the features of medical image. First, using the space domain to enhance the image and improve clarity. And then process it by using mathematical morphology. Mathematical morphology is a method of nonlinear filters, which could be used for image processing including noise suppression, feature extraction, edge detection, image segmentation, shape recognition, texture analysis, image restoration and reconstruction, image compression etc. the method has been more and more widely used.  Medical image, Feature extraction, Edge detection,Image processing
Ice Sheet Sources of Sea Level Rise and Freshwater Discharge During the Last Deglaciation
Year: 2012

We review and synthesize the geologic record that constrains the sources of sea level rise and freshwater discharge to the global oceans associated with retreat of ice sheets during the last deglaciation. The Last Glacial Maximum ~26 19 ka) was terminated by a rapid 5 10 m sea level rise at 19.0 19.5 ka, sourced largely from Northern Hemisphere ice sheet retreat in response to high northern latitude insolation forcing. Sea level rise of 8 20 m from ~19 to 14.5 ka can be attributed to continued retreat of the Laurentide and Eurasian Ice Sheets, with an additional freshwater forcing of uncertain amount delivered by Heinrich event 1. The source of the abrupt acceleration in sea level rise at ~14.6 ka (meltwater pulse 1A, ~14 15 m) includes contributions of 6.5 10 m from Northern Hemisphere ice sheets, of which 2 7 m represents an excess contribution above that derived from ongoing ice sheet retreat. Widespread retreat of Antarctic ice sheets began at 14.0 15.0 ka, which, together with geophysical modeling of far field sea level records, suggests an Antarctic contribution to this meltwater pulse as well. The cause of the subsequent Younger Dryas cold event can be attributed to eastward freshwater runoff from the Lake Agassiz basin to the St. Lawrence estuary that agrees with existing Lake Agassiz outlet radiocarbon dates. Much of the early Holocene sea level rise can be explained by Laurentide and Scandinavian Ice Sheet retreat, with collapse of Laurentide ice over Hudson Bay and drainage of Lake Agassiz basin runoff at ~8.4 8.2 ka to the Labrador Sea causing the 8.2 ka event.
Electrostatic transparency of graphene oxide sheets
Year: 2015

The interaction of graphene oxide of varying reduction degrees with dielectric and metallic surfaces is probed in this study, in order to assess the influence that the supporting substrate has on the electronic properties of as produced graphene oxide and its reduced form. Lateral inhomogeneities in the distribution of substrate trapped charged impurities are found to affect the electronic properties of reduced graphene oxide, giving rise to significant in plane variations of the local electrostatic potential on reduced one layer sheets supported on dielectric substrates. On the contrary, no such surface potential fluctuations are identified on as produced graphene oxide sheets, or on graphene oxide layers deposited on a metallic substrate. Thicker, two layer reduced graphene oxide sheets show effective screening of the electrostatic effects caused by charge impurities trapped in the substrate. The current study provides a useful account of the limitations that device performance could face when attempting to tune the electronic structure of graphene oxide via functionalization, highlighting the role of substrate related disorder affecting the behaviour of nanodevices. The role of the substrate is particularly important for applications where electronic properties of graphene oxide are especially targeted, such as transparent conducting films, sensors and electrochemical devices.
An annotated checklist of the macrofungi (Ascomycota, Basidiomycota, and Glomeromycota) from Quintana Roo, Mexico
Year: 2020

According to records available in the literature, 380 species of fungi and fungus like organisms are known for the state of Quintana Roo on the Yucatan Peninsula of Mexico. We carried out mycological surveys in this state, following the classical methods for collecting, describing, and curating macrofungi. As a result of our research, 21 species are recorded for the first time for Quintana Roo, and Amanita arenicola O. K. Milller Lodge, Inocybe xerophytica Pegler, and Russula cremeolilacina Pegler are recorded for the first time for Mexico. The distinctive characteristics and photographs are provided for the new records. As a result of this study, 401 species of macrofungi are known for Quintana Roo.
Proceedings of the Sixth Workshop on Statistical Machine Translation
Venue: WMT@EMNLP
Year: 2011

The EMNLP 2011 Workshop on Statistical Machine Translation (WMT 2011) took place on Saturday and Sunday, July 30 31 in Edinburgh, Scotland, immediately following the Conference on Empirical Methods on Natural Language Processing (EMNLP) 2011, which was hosted by the University of Edinburgh. This is the seventh time this workshop has been held. The first time was in 2005 as part of the ACL 2005 Workshop on Building and Using Parallel Texts. In the following years the Workshop on Statistical Machine Translation was held at HLT NAACL 2006 in New York City, US, ACL 2007 in Prague, Czech Republic, ACL 2008, Columbus, Ohio, US, EACL 2009 in Athens, Greece, and ACL 2010 in Uppsala, Sweden.
Comparison of the photoelectrochemical properties of RDS NiO thin films for p type DSCs with different organic and organometallic dye sensitizers and evidence of a direct correlation between cell efficiency and charge recombination
Venue: Journal of Solid State Electrochemistry
Year: 2014

Undyed mesoporous NiO in the configuration of thin film (thickness 2 3 mm) presents photoelectrochemical activity as cathode of a p type dye sensitized solar cell (p DSC) towards the reduction of triiodide to iodide under irradiation with a solar simulator. The photoelectroactivity of the oxide prepared via microwave plasma sintering (or rapid discharge sintering, RDS) has been observed in the spectral range 300 500 nm with the incident photon to current conversion efficiency (IPCE) reaching a maximum of 8.7 at 375 nm. Upon sensitization, the characteristic photoelectrochemical activity of NiO can be either enhanced or depressed depending on the nature of the dye sensitizer. The comparative analysis of the JV and IPCE curves of the p DSCs based on bare NiO and four differently sensitized NiO cathodes reveals that N719, black dye (BD) and commercial squaraine 2 (SQ2) decrease the efficiency of conversion of dyed NiO with respect to bare NiO in the range of photoelectroactivity of the latter (300 500 nm) The fourth dye P1 represents the sole exception since its employment brings about an enhancement of the quantum efficiency of P1 sensitized vs. unsensitized NiO up to a maximum of 21 within the spectral interval of reference for NiO (300 500 nm) Outside the range of NiO photoelectrochemical activity, i.e. l 500 nm, only N719 does not introduce a gain of quantum efficiency with respect to bare NiO despite the observation of spectral sensitization up to 580 nm for N719 sensitized NiO. The impedance spectra recorded under illumination shows a direct proportionality between the overall efficiency (e) of the variously sensitized p DSCs and the amplitude of the semicircle which is generally associated with the process of charge recombination at the electrode/electrolyte interface with e decreasing with the increase of the recombination resistance.
Adoption of Electronic Payment Services by Iranian Customers
Year: 2010

The objective of this paper is to investigate customers' adoption of Electronic payment services. This study contributes to existing e payment and adoption research by presenting a detailed description of factors that enhance and inhibit electronic payment adoption. The proposed conceptual model has been developed based on TAM, diffusion of innovation and PCI models, and adding the factors of security, cost, perceived risk, culture, trust, service quality and network externalities. The model has been examined by using a questionnaire within the Iran context. Based on obtained results, practical implications and suggestions for Iran banks and financial institutions are discussed. In this article, we will explore the replacement of paper based payment instruments by electronic payment alternative. The adoption of electronic payment services that are able to access sophisticated and extensive networks to authorize, process, and settle payments with relative ease continues to increase. Electronic payment will cut costs of banking and payment services between one fourth and one tenth. There are 6.5 million subscribers to ATM and POS systems in Iran as all the country's banks have access to ATMs at present. According to Iran Daily the number of ATM and POS cards will reach 12 million by the end of the 2010. Central Bank in Iran established a unique system that makes it possible for other banks to connect to each other easily. This system which called "Shetab" is just like a highway that links all banks together. Customers can receive their money without referring to their issuing banks and without considering the owner 16 more pages are available in the full version of this document, which may be purchased using the "Add to Cart" button on the publisher's webpage: www.igi global.com/article/adoption electronic paymentservices
STRESS AND ACHIEVEMENT IN PHYSICS AMONG HIGHER SECONDARY SCHOOL STUDENTS
Year: 2019

The present study was explored to find out the relationship between stress and achievement in physics among higher secondary school students. Survey method was conducted on stratified random sample of 177 higher secondary school students in Vellore district. Data was analyzed by t test and 'r' value. Results found that the stress of higher secondary school students is found to be high whereas academic achievement in physics of higher secondary school students is average. Finding also indicated that there is significant relationship between stress and achievement in physics among higher secondary school students.
Inter system and inter frequency code biases: simultaneous estimation, daily stability and applications in multi GNSS single frequency precise point positioning
Venue: GPS Solutions
Year: 2019

Both inter system and inter frequency code biases (ISCB and IFCB) embodied in the multi GNSS single frequency precise point positioning (MSFPPP) exhibit mainly as systematic errors. Comprehensive analysis of the ISCB and IFCB characteristics and proper assimilation of their impact on MSFPPP are very important. We study the simultaneous estimation of all ISCBs for GLONASS, BDS and Galileo relative to GPS and the IFCBs of GLONASS by using our newly formulated estimable ionospheric weighted MSFPPP model. Then, the daily stability of the ISCBs and IFCBs is examined, on which the application strategy is advised to improve the MSFPPP performance. One month multi GNSS single frequency observation at 60 stations with eight types of receivers is carried out. The results indicate that the ISCBs of Galileo are most stable, followed by GLONASS and BDS, and all ISCBs and IFCBs are sufficiently stable on a daily scale. Imposing this stable information on the MSFPPP model can significantly enhance the model strength and improve the positioning performance.
Pinning synchronization of directed networks with delayed complex valued dynamical nodes and mixed coupling via intermittent control
Venue: J. Frankl. Inst.
Year: 2020

This paper considers the synchronization problem for directed delayed complex valued dynamical networks with mixed coupling by pinning some nonperiodic intermittent controllers on the network nodes. Each isolated node is described by a delayed complex valued dynamical system, and mixed coupling consists of current state coupling and distributed delay coupling. By establishing an extended delayed differential inequality, a general criterion is established to ensure the complex valued dynamical networks under study globally exponentially synchronizes with a target trajectory. Furthermore, by using the matrix blocking method and Schur complement, some low dimensional synchronization criteria are derived, based on which an admissible set of control parameters is obtained. Finally, the effectiveness of the theoretical analysis is verified through two illustrative examples.
Automatic detection of learner's affect from conversational cues
Venue: User Modeling and User Adapted Interaction
Year: 2007

We explored the reliability of detecting a learner's affect from conversational features extracted from interactions with AutoTutor, an intelligent tutoring system (ITS) that helps students learn by holding a conversation in natural language. Training data were collected in a learning session with AutoTutor, after which the affective states of the learner were rated by the learner, a peer, and two trained judges. Inter rater reliability scores indicated that the classifications of the trained judges were more reliable than the novice judges. Seven data sets that temporally integrated the affective judgments with the dialogue features of each learner were constructed. The first four datasets corresponded to the judgments of the learner, a peer, and two trained judges, while the remaining three data sets combined judgments of two or more raters. Multiple regression analyses confirmed the hypothesis that dialogue features could significantly predict the affective states of boredom, confusion, flow, and frustration. Machine learning experiments indicated that standard classifiers were moderately successful in discriminating the affective states of boredom, confusion, flow, frustration, and neutral, yielding a peak accuracy of 42% with neutral (chance 20% and 54% without neutral (chance 25% Individual detections of boredom, confusion, flow, and frustration, when contrasted with neutral affect, had maximum accuracies of 69, 68, 71, and 78% respectively (chance 50% The classifiers that operated on the emotion judgments of the trained judges and combined models outperformed those based on judgments of the novices (i.e. the self and peer) Follow up classification analyses that assessed the degree to which machine generated affect labels correlated with affect judgments provided by humans revealed that human machine agreement was on par with novice judges (self and peer) but quantitatively lower than trained judges. We discuss the prospects of extending AutoTutor into an affect sensing ITS.
KBQA: Learning Question Answering over QA Corpora and Knowledge Bases
Venue: Proc. VLDB Endow.
Year: 2017

Question answering (QA) has become a popular way for humans to access billion scale knowledge bases. Unlike web search, QA over a knowledge base gives out accurate and concise results, provided that natural language questions can be understood and mapped precisely to structured queries over the knowledge base. The challenge, however, is that a human can ask one question in many different ways. Previous approaches have natural limits due to their representations: rule based approaches only understand a small set of "canned" questions, while keyword based or synonym based approaches cannot fully understand the questions. In this paper, we design a new kind of question representation: templates, over a billion scale knowledge base and a million scale QA corpora. For example, for questions about a city's population, we learn templates such as What's the population of $city? How many people are there in $city? We learned 27 million templates for 2782 intents. Based on these templates, our QA system KBQA effectively supports binary factoid questions, as well as complex questions which are composed of a series of binary factoid questions. Furthermore, we expand predicates in RDF knowledge base, which boosts the coverage of knowledge base by 57 times. Our QA system beats all other state of art works on both effectiveness and efficiency over QALD benchmarks.
Base 5 vs. Karp Rabin as optimizations in the BLAST heuristic for the alignment of DNA sequences
Venue: 2019 IEEE XXVI International Conference on Electronics, Electrical Engineering and Computing (INTERCON)
Year: 2019

In bioinformatics, the database of biological sequences increases at a dizzying rate, with the alignment algorithms used for the comparison of sequences determining genetic distances, generation of phylogenetic trees, etc. This work seeks to compare the incorporation of the Rabin Karp and Base 5 algorithms as possible optimizations during the generation of seed indexes of the BLAST alignment algorithm to align multiple query sequences with the DNA sequence of the human genome as sequence of reference. The tests were processed sequentially and using GPU in the MANATI supercomputer of the High Performance Computational Center of the Peruvian Amazon of the IIAP, showing a better performance for a possible optimization of BLAST in the generation of hash keys with the algorithm taken from Base 5 for long sequences (genomes) with short keys, generating maximum dispersion. However, for short sequences or longer keys, it is advisable to use Karp Rabin, reducing this dispersion.
Formacion de profesores en competencias TIC para dinamizar las practicas pedagogicas en basica primaria
Year: 2021

This article presents the result of a proposal for the training of elementary school teachers in ICT competencies, with the purpose of strengthening these competencies and stimulating pedagogical practices. The work was developed under the qualitative research approach and privileges the Pedagogical Action research; The results confirm that reflecting on pedagogical practices collectively enriches the pedagogical work, likewise the implementation of ICT in the classroom generates methodological changes in the teaching and learning processes.
Myasthenic Crisis Complicated with Myxedema, Positive for Both Anti acetylcholine Receptor and Anti muscle specific Tyrosine Kinase Antibodies
Venue: Internal medicine
Year: 2018

We herein report the case of myasthenic crisis occurring in a 51 year old man. He had experienced ptosis, increased body weight with edema, and fatigue with dyspnea. He presented at our emergency department with disturbed consciousness. He was originally diagnosed with myxedema coma, and he required artificial respiration. Because his weakness persisted and he was positive for anti acetylcholine receptor antibodies and anti muscle specific tyrosine kinase antibodies, we diagnosed myasthenic crisis after various examinations. His clinical response to treatment was good and he was discharged in an ambulatory status 3 months after admission. This case demonstrates that myasthenic crisis may occur in association with myxedema.