nils-herrmann/clean_scirepeval huggingface dataset:
Tactical Irrelevance: Art and Politics at Play
Year: 2007

Questions about the relation of art and politics often become more urgent in moments of political turmoil and crisis. The present day context of neoliberal globalization and militaristic neoconservativism has prompted many artists to abandon representational politics and the fostering of dialog in favor of intervening more directly in social relations. In this paper, an artist discusses her own work through the lens of Jacques Ranciere's philosophical writings on aesthetics and politics. The question of artistic autonomy long considered antithetical to radical or committed art s is reframed as a privileged position from which foundational assumptions about what the political field is can be challenged and reformulated.
16.7% efficiency ternary blended organic photovoltaic cells with PCBM as the acceptor additive to increase the open circuit voltage and phase purity
Year: 2019

The field of organic photovoltaics (OPVs) has seen rapid development in the past few years, particularly, with reports on the use of a high performance nonfullerene electron acceptor (named Y6) in binary devices. In this paper, we demonstrate a simple yet effective ternary approach that can simultaneously increase the open circuit voltage, short circuit current density, and fill factor of a binary device based on Y6 and a donor polymer named PM6. By adding a small amount of PCBM into the PM6:Y6 system, we achieved a high efficiency of 16.7% which is the best value reported for an OPV device to date. Importantly, this ternary material approach has wide ranging applicability, as we demonstrated the same beneficial effects in multiple systems, including PM6:IT 4F, PM7:IT 4F, PM6:Y6, and PM7:Y6. The LUMO energy 3.9 eV) of PCBM lies between the LUMO 3.6 eV) of PM6/PM7 and the LUMO 4.1 eV) of IT 4F/Y6, which is one reason for the increased Voc. After blending with PCBM, the homogenous fine film morphology and the p p stacking patterns of the host binary structure are maintained, while the phase purity is increased, the hole and electron mobilities are increased, and monomolecular recombination is reduced, all of which, plus the visible absorption of PCBM, are the reasons for the concurrently improved fill factor and increased short circuit current density. This approach can be used in other OPV systems and should have wide applicability.
Development and Validation of a Biosensor for Rapid TB Detection Nanotechnology
Year: 2015

Tuberculosis (TB) is one of the world's deadliest infectious diseases (about 1.7 million people die annually) and is a leading cause of death among HIV positive patients. The standard test for diagnosing Mycobacterium tuberculosis (Mtb) is smear sputum microscopy, which is unable to identify one half of true infections. Several molecular based techniques have been examined for the rapid detection of Mtb but they require specialized equipment, are expensive and otherwise difficult to implement in primary health care settings. Therefore, there is a critical need for accurate, rapid and cost effective screening methods that are field deployable. Our objective for this research focuses on developing and validating a handheld field operable biosensor to quickly and cheaply detect Mtb infection in ethnically diverse highland populations in Chiapas, Mexico. For preliminary work, Mycobacterium smegmatis (Msm) is used as a surrogate for Mtb. Msm shares more than 2000 homologs with Mtb and shares the same unusual cell structure as Mtb. Like Mtb, it is also an acid fast bacterial species. The biosensor uses magnetic nanoparticles (MNPs) to non specifically extract bacterial cells from artificial sputum samples. Antibodies (Ab) specific to Mycobacterium species are conjugated to gold (Au) nanoparticles to form Ab Au NPs. These Ab Au NPs are then added to the MNP cells to form a MNP cell Ab Au complex. This complex is added to a screen printed carbon electrode chip that is connected to a handheld potentiostat. Differential pulse voltammetry is used to generate the signal. Preliminary results show that the biosensor can detect bacterial cells in the range of 10^1 10^6 cfu/ml. The whole process of sample preparation to detection is completed in less than one hour. Material cost for target extraction is about 2 cents per assay. Detection assay is about $1, making the whole extraction detection assay costing only about $2. The whole system is handheld, field portable, and operable by entry level health workers. This technology would be an alternative to other methods with comparable sensitivity, especially in point of care scenarios under scarce resources. Integration of genetically encoded molecular sensors into 3D microsensor materials by protein compatible photopolymerization Nanotechnology Biosensors Jenna Rickus, Purdue University, Leyla Nesrin Kahyaoglu, Purdue University, Rajtarun Madangopal, Purdue University (currently at the National Institutes of Health)  Jenna Rickus, Purdue University, 225 S. University St, West Lafayette, Indiana 47907 USA
Methode ou systeme chez Spinoza
Year: 2019

L'article entend montrer que Spinoza, dans sa conception des variations affectant les corps et determinant des aptitudes, elabore un schema comparatif qui pourrait se rapprocher des deux types d'organisation de la classification par les naturalistes au XVIIIe siecle systeme et methode. L'objectif est de montrer que l'analyse simultanee des individus comprise dans cette classification ne s'apparente pas necessairement a un fixisme mais peut s'accompagner d'une inclusion de la temporalite d'apparition des caracteres grace a la constitution de proprietes communes propres
A framework of explanation generation toward reliable autonomous robots
Venue: Adv. Robotics
Year: 2021

To realize autonomous collaborative robots, it is important to increase the trust that users have in them. Toward this goal, this paper proposes an algorithm that endows an autonomous agent with the ability to explain the transition from the current state to the target state in a Markov decision process (MDP) According to cognitive science, to generate an explanation that is acceptable to humans, it is important to present the minimum information necessary to sufficiently understand an event. To meet this requirement, we propose a framework for identifying important elements in the decision making process using a prediction model for the world and generating explanations based on these elements. To verify the ability of the proposed method, we conducted an experiment using a grid environment. It was inferred from the result of a simulation experiment that the explanation generated using the proposed method was composed of the minimum elements important for understanding the transition from the current state to the target state. Furthermore, subject experiments showed that the generated explanation was a good summary of the process of state transition, and that a high evaluation was obtained for the explanation of the reason for an action.
Solvability of a coupled nonlinear system of Skorohod like stochastic differential equations modeling active passive pedestrians dynamics through a heterogeneous domain and fire
Year: 2020

We study the existence and uniqueness of solutions to a coupled nonlinear system of Skorohod like stochastic differential equations with reflecting boundary condition. The setting describes the evacuation dynamics of a mixed crowd composed of both active and passive pedestrians moving through a domain with obstacles, fire and smoke. As main working techniques, we use compactness methods and the Skorohod's representation of solutions to SDEs posed in bounded domains. The challenge is to handle the coupling and the nonlinearities present in the model equations together with the multiple connectedness of the domain and the pedestrian obstacle interaction.
Socialism and the Blockchain
Venue: Future Internet
Year: 2016

Bitcoin (BTC) is often cited as Libertarian. However, the technology underpinning Bitcoin, blockchain, has properties that make it ideally suited to Socialist paradigms. Current literature supports the Libertarian viewpoint by focusing on the ability of Bitcoin to bypass central authority and provide anonymity; rarely is there an examination of blockchain technology's capacity for decentralised transparency and auditability in support of a Socialist model. This paper conducts a review of the blockchain, Libertarianism, and Socialist philosophies. It then explores Socialist models of public ownership and looks at the unique cooperative properties of blockchain that make the technology ideal for supporting Socialist societies. In summary, this paper argues that blockchain technologies are not just a Libertarian tool, they also enhance Socialist forms of governance.
The pleasure of the system cybernetic feedback loops and flow in video games
Year: 2009

Research on the nature of the medium of the video game probes questions of the appropriateness of the application therein of narrative, cybernetics, and traditional game theory, among other approaches. This paper explores the mobilization of theories of cybernetics within game theory, particularly in light of how the body is theorized in classic cybernetics work, current technoscience research on artificial intelligence and embodiment, and Csikszentmihalyi's (1991) work on flow. How do 'video games as cybertext' theories mobilize and apply cybernetics, and how does the application of concepts in video game theory such as ergodics and feedback loops extend their preceding cybernetics conceptions? Furthermore, how do straightforward questions of systematic human computer interactions relate to play and flow theory in video game studies, which address the pleasure and the immersive experience of video game play? Through an introduction to some components of the play experience, I will weigh the structural approach of cybernetics against the more ephemeral components of the affect of gameplay experience as described in flow theory. Can the use of cybernetics as applied to the medium that has been argued by Lahti (2003) to induce not simply cognitive but carnal pleasures rehabilitate conceptions of feedback loops that have increasingly displaced the body?
Desenvolvimento de prototipo de maquina CNC de baixo custo para processos de corte e gravacao em micro e pequenas empresas
Year: 2019

This work presents the development of a prototype CNC machine (Computer Numerical Command) of small size and low cost for use in the cutting and engraving processes in micro and small companies of the graphic, jewellery, handicraft, wood, plastic and others branches. The work demonstrates the development of mechanical structure, control drivers and GUI software. The mechanical structure was built in a gantry format and enables the tool to be moved in three dimensions (X, Y and Z) on a work table. The control drivers are designed in PCB format (Printed Circuit Board) and are responsible for controlling stepper motors for machine movement. For the user to program and adjust the CNC code and machine features, a graphical interface software has been created. To manage the control of the machine, an Arduino microcontroller board was used, converting the communication between graphic interface and electronic hardware. The developed system was validated with cutting and engraving tests on MDF sheets, which are presented in this work. The results obtained in these tests demonstrated that the equipment is able to perform the operations in a way compatible with similar systems, also meeting the criteria of low cost.
Syntheses of two and three dimensional covalent organic frameworks in deep eutectic solvents
Year: 2020

Covalent organic frameworks (COFs) constitute an emerging class of porous organic crystalline polymers with predesignable topologies and tunable functionality, and have attracted significant interest, with a wide range of potential applications. Nevertheless, the syntheses of COFs are mainly restricted to solvothermal routes that require harmful organic solvents, involve long process times, and require effort to optimize the reaction conditions with each new COF. In this work, we developed for the first time a general and simple strategy for synthesizing a series of 2D COFs (including keto enamine, azine and hydrazone linked COFs) and imine linked 3D COFs by using deep eutectic solvents (DESs) as green media under ambient conditions. The COFs are highly crystalline and show good surface areas, and were obtained within 2 h at room temperature in an open reaction system. More importantly, we also extended this protocol to the synthesis of a new azo based 3D COF with a hierarchical pore structure notable since we were not able to prepare this COF using a conventional solvothermal route.
A Taxonomy for Learning, Teaching and Assessing:
Year: 2008

A Taxonomy for Learning, Teaching and Assessing: A Revision of Bloom's Taxonomy of Educational Objectives edited by Lori Anderson and David Krathwohl, is a work that attempts to refocus educators' attention on Bloom's Taxonomy while incorporating new knowledge and thought into the original Handbook. (Preface, xxii) For individuals unfamiliar with the original, Bloom's Taxonomy is a framework for categorizing educational objectives that was first published in 1956 by B.S. Bloom (editor) M.D. Englehart, E.J. Furst, W.H. Hill, and D.R. Krathwohl as The Taxonomy of Educational Objectives, The classification of Educational Goals, Handbook I: Cognitive Domain. The original handbook has been translated into many languages and has served as the basis for test design and curriculum development throughout the world (Preface, xxi) The current revision of the handbook includes one of the original authors, D.R. Krathwohl and an elite team of cognitive psychologists, curriculum theorists and assessment specialists. The preface of the revision explains with interesting detail the conditions leading to the creation of the revised handbook. Also included is a summary of changes (Appendix A) and a condensed version of the original handbook (
Color supported generalized ICP
Venue: 2014 International Conference on Computer Vision Theory and Applications (VISAPP)
Year: 2014

This paper presents a method to support point cloud registration with color information. For this purpose we integrate L*a*b* color space information into the Generalized Iterative Closest Point (GICP) algorithm, a state of the art Plane To Plane ICP variant. A six dimensional k d tree based nearest neighbor search is used to match corresponding points between the clouds. We demonstrate that the additional effort in general does not have an immoderate impact on the runtime, since the number of iterations can be reduced. The influence on the estimated 6 DoF transformations is quantitatively evaluated on six different datasets. It will be shown that the modified algorithm can improve the results without needing any special parameter adjustment.
Synthesis of Z scheme a Fe2O3/g C3N4 composite with enhanced visible light photocatalytic reduction of CO2 to CH3OH
Venue: Journal of CO2 Utilization
Year: 2019

In this study, a series of a Fe2O3/g C3N4(FCN) photocatalysts for CO2 reduction at 0.6 MPa to produce CH3OH is synthesized via hydrothermal method and the FCN hybrid shows greater absorption of visible light than pure g C3N4 due to the introduction of a Fe2O3 (narrow bandgap) The Z scheme heterojunction promotes photogenerated electron and hole separation and suppresses the recombination of photoexcited electron hole pairs. Benefiting from this unique structure, the optimized FCN(40:60) hybrid shows a CH3OH evolution rate of 5.63 mmol g 1 h 1 without any sacrifice reagent and cocatalyst, which is 2.9 times higher than that of pure g C3N4(1.94 mmol g 1 h 1) The excellent activity is ascribed to a Z scheme transfer mechanism, which is proposed according to the band structure between g C3N4 and a Fe2O3. The results gained here may provide some illuminating insights for the design of new types of Z scheme photocatalysts.
Plasma catalytic degradation of BTX over ternary perovskite type La1 x(Co, Zn, Mg, Ba)xMnO3 nanocatalysts
Year: 2020

Volatile organic compounds, as an emerging group of organic pollutants, have significant harmful effects on both human health and the environment. BTX, which consists of benzene, toluene and xylene, is the most important kind of these compounds, which is extensively produced in the oil and gas industry. To date, various treatment methods have been used to remove volatile organic compounds. Among them, the non thermal plasma technology has attracted more attention as an efficient technology for the removal of VOC compounds due to its numerous advantages. perovskite type metal oxides have recently been found to be effective catalysts for the total oxidation of VOCs. This research has been conducted in two steps. In the first step, a series of La0.8A0.2MnO3 (A: Co, Zn, Mg, Ba) nano catalysts were synthesized by sol gel method and then their catalytic activity for removal of BTX compounds were investigated in a non thermal hybrid plasma system with the dielectric reactor, among which La0.8Zn0.2MnO3 was the most active catalyst. In the next step, further studies focused on zinc doped perovskite nanocatalysts. The catalytic activity of La1 xZnxMnO3 (x 0.1, 0.2, 0.3, 0.4, 0.5, 0.6) nanocatalysts was investigated where La0.8Zn0.2MnO3 catalyst showed highest removal efficiency by degradation 89.73% of benzene, 88.98% of toluene and 88.66% of xylene. It should be noted that product analysis was performed using GC analyzer. The effect of operating parameters such as plasma voltage, activation time, the amount of catalyst loading on optimal sample catalyst and air flow rate were further evaluated. The results exhibited that increasing plasma voltage, activation time and the amount of catalyst loading and PDC use will develop degradation percentage, reduce air flow rate and increase the process time. The physical and chemical properties of perovskite nanocatalysts were evaluated using XRD, SEM, EDX, FTIR, DRS, BET, TEM and SAED analyses. The XRD results suggested that all the samples demonstrated a typical pure perovskite phase. SEM analysis results confirm the formation of nanostructured catalysts and EDX analysis exhibited a good dispersion of elements in optimal photocatalyst. The FTIR results showed that all the characteristic absorption peaks of perovskite were present in synthesized samples. The EDX analysis exhibited a good dispersion of elements in optimal photocatalyst and the BET analysis also revealed that the optimal catalyst had higher specific surface area. Topography and morphology was determined by TEM analysis and the SAED results showed the catalyst structure. The reaction rate equations were also calculated.
The stress strain relationship of liquid marbles under compression
Year: 2019

Liquid marbles can be characterized using elastic solid models consisting of a liquid surrounded by a soft solid membrane. The elastic properties of liquid marbles determine the amount of compression under a given external force. This is an important property as the elasticity of liquid marbles determines their morphology under a given stress. We show that the stress strain relationship of liquid marbles can be described by s*Bo=0.6[1/(1 ehro)2 1] where Bo is the Bond number, s* is the normalised stress, and ehr0 is the strain measured with respect to the equivalent radius of the liquid marble. This stress strain relationship could pave the way for the development of microfluidic devices with robust liquid marbles.
Maps preserving absolute continuity of positive operators
Year: 2020

Motivated by their measure theoretic analogues, Ando introduced in  the notions of absolute continuity and singularity of positive operators, and proved a Lebesgue type decomposition theorem. Since then, similar results have been proved in more general contexts [3, 4, 5, 7, 8] just to mention a few. Molnar in  described the structure of bijective maps on the cone of positive operators that preserve the Lebesgue decomposition in both directions. It turned out that the cone is quite rigid in the sense that these maps can be always written in the form A 7 SAS* with a bounded, invertible, linearor conjugate linear operator S. A natural question arises: is it possible to weaken the preserver property, and to characterize those bijections that preserve absolute continuity only? The aim of this talk to answer this question in the affirmative.
Spectral clustering for link prediction in social networks with positive and negative links
Venue: Social Network Analysis and Mining
Year: 2013

Online social networks (OSNs) recommend new friends to registered users based on local features of the graph (i.e. based on the number of common friends that two users share) Real OSNs (e.g. Facebook) do not exploit all network structure. Instead, they consider only pathways of maximum length 2 between a user and his candidate friends. This can limit the accuracy of prediction. On the other hand, there are global approaches, which detect the overall path structure in a network, being computationally prohibitive for huge size social networks. In this paper, we provide friend recommendations, by performing multi way spectral clustering, which uses information obtained from the top few eigenvectors and eigenvalues of the normalized Laplacian matrix and computes a multi way partition of the data. As a result, it produces a less noisy matrix, which is smaller and more compact than the original one, focusing on main linking trends of the social network. Thus, we are able to provide fast and more accurate friend recommendations. Moreover, spectral clustering compared to traditional clustering algorithms, such as k means and DBSCAN, which assume globular (convex) regions in Euclidean space, is more flexible, in capturing the non connected components of a social graph and a wider range of cluster geometries. We perform an extensive experimental comparison of the proposed method against existing link prediction algorithms, the k means and two way nCut clustering algorithms, using synthetic and three real data sets (Hi5, Facebook, and Epinions) Our experimental results show that our SpectralLink algorithm outperforms the local approaches, the k means and two way nCut clustering algorithms in terms of effectiveness, whereas it is more efficient than the global approaches. We show that a significant accuracy improvement can be gained by using information about both positive and negative edges.
Tan Tao Web 2.0Wang Ye Shi Yong Zhe Xing Wei Dui Yu Shi Yong Dong Ji Man Yi Du Guan Xi Zhi Yan Jiu
Year: 2012

In recent years, with the popularity of the Internet and broadband, Web2.0 website appeared in large numbers, such as Blog, Wiki, photo albums, multimedia databases and other services are also a lot to be built in the Web2.0 page. Web2.0 main personal, community, interactive content such as in the past one way page does not have new features for the Internet information age has provided a new way of receiving information. This study investigated the Web2.0 site users to "Uses and Gratifications Theory" point of view, expected by observing the user behavior in the use of Web2.0 websites, use the link between motivation and satisfaction, to find out why Web2.0 site has been popular because most users to provide web designers write Web2.0 sites for future reference. In this study, Internet survey method approach to the Internet questionnaire as a research tool, video game kiosks for Bahamut users survey and analysis, the results are as follows: 1. The user for "Technology and Content" type of motivation is more intense, and with the involvement of a strong degree of motivation to improve and has improved. 2.The involvement of users for the "Information Sharing," "Social Interaction " of satisfaction than the " Technology and Content" type of satisfaction with strong. 3. The users for the " Information Sharing," "Social Interaction " two types of functions to meet the higher the degree of motivation for their use and expectations of the site will be improved.