nils-herrmann/clean_scirepeval huggingface dataset:
Instructional stacking machine for automatic stereoscopic warehouse
Year: 2015

The invention discloses an instructional stacking machine for an automatic stereoscopic warehouse. The instructional stacking machine for the automatic stereoscopic warehouse consists of double stand columns, a reel, a lifting step motor, gears, a guide rail, a walking step motor, driving walking wheels, a walking trolley, a control cabinet, a goods fork step motor, a goods fork, a goods carrying platform guide wheel, a goods carrying platform and steel wire rope pulleys, wherein the lifting step motor is connected with the reel though one pair of gears; the goods carrying platform is connected with the reel through the steel wire rope pulleys; the walking step motor is connected with the driving walking wheels through one pair of gears; the driving walking wheels are in contact with the guide rail; the control cabinet is placed on a trolley rack; the goods fork and the goods fork step motor are mounted at the bottom of the goods carrying platform; and the goods carrying platform guide wheel is in contact with the column. By adopting the structure of a frame, which is formed by welding a stainless steel rectangular tubular product, of a double column type stacking machine, the strength and the rigidity of the frame of the stacking machine are better; a sole weight is light; the appearance is attractive; the frame of the double column type stacking machine is utilized as a guiding guide rail of the goods carrying platform; the steel wire rope pulleys and the reel are adopted as a lifting structure; the cost is low; and the structure is simple.
Discovery of a radio relic in the low mass, merging galaxy cluster PLCK G200.9 28.2
Year: 2017

Radio relics at the peripheries of galaxy clusters are tracers of the elusive cluster merger shocks. We report the discovery of a single radio relic in the galaxy cluster PLCK G200.9 28.2 $z=0.22$ $M_{500} 2.7\pm0.2 \times 10^{14} M_{\odot} using the Giant Metrewave Radio Telescope at 235 and 610 MHz and the Karl G. Jansky Very Large Array at 1500 MHz. The relic has a size of \sim 1 \times 0.28$ Mpc, an arc like morphology and is located at 0.9 Mpc from the X ray brightness peak in the cluster. The integrated spectral index of the relic is $1.21\pm0.15$ The spectral index map between 235 and 610 MHz shows steepening from the outer to the inner edge of the relic in line with the expectation from a cluster merger shock. Under the assumption of diffusive shock acceleration, the radio spectral index implies a Mach number of $3.3\pm1.8$ for the shock. The analysis of archival XMM Newton data shows that PLCK G200.9 28.2 consists of a northern brighter sub cluster, and a southern sub cluster in a state of merger. This cluster has the lowest mass among the clusters hosting single radio relics. The position of the Planck Sunyaev Ze'ldovich effect in this cluster is offset by 700 kpc from the X ray peak in the direction of the radio relic, suggests a physical origin for the offset. Such large offsets in low mass clusters can be a useful tool to select disturbed clusters and to study the state of merger.
Antioxidant, Anticancer, Antimicrobial, and Antibiofilm Properties of the Culinary Medicinal Fairy Ring Mushroom, Marasmius oreades (Agaricomycetes)
Venue: International journal of medicinal mushrooms
Year: 2019

This study is based on the phenolic composition and the antioxidant, anticancer, antimicrobial, and antibiofilm activities of the edible mushroom Marasmius oreades from Turkey. The phenolic composition of an M. oreades ethanol extract was measured by using the Folin Ciocalteu method, aluminium chloride colorimetry, and ultraperformance liquid chromatography. The antioxidant activity was evaluated on the basis of DPPH radical scavenging activity. The effect of the M. oreades ethanol extract was also screened in order to determine glutathione S transferase, glutathione peroxidase, catalase, and superoxide dismutase enzyme activities. The antimicrobial activity of the mushroom extract was evaluated by using well diffusion and was based on the minimum inhibitory concentration. In addition, the antibiofilm potential of M. oreades was analyzed against Gram positive and negative bacteria. Finally, the anticancer effects of the mushroom extract were tested on colon (HT 29) and breast (MCF 7 and MDA MB 231) cancer cell lines by using the MTT assay. The results revealed that the total amount of phenolics in the ethanol extract of M. oreades was 10.990 0.0007 mg gallic acid equivalent/100 g, and the total amount of flavonoids was 1.139 0.0052 mg quercetin equivalent/100 g. The ultraperformance liquid chromatography results indicated that the M. oreades ethanol extract contained various phenolic compounds: catechin, ferulic, gallic acid, and vanillic acid. The M. oreades ethanol extract scavenged about 80% of DPPH free radicals. It did not show any effect on the glutathione S transferase, glutathione peroxidase, and catalase enzyme activities, but its maximal concentration (10 mg/mL) increased superoxide dismutase activity (8% The ethanol extract of M. oreades showed a moderate anticancer effect on the HT 29, MCF 7, and MDA MB 231 cell lines. Although the ethanolic extract of the mushroom did not show sufficient antibacterial activity, it presented a strong antibiofilm effect against all studied pathogenic strains at the tested concentrations.
Una introduccion a la historia de la arquitectura
Venue: Devenir Revista de estudios sobre patrimonio edificado
Year: 2019

Muchas veces, la historia de la arquitectura se concibe en la forma de una mera sucesion cronologica de acontecimientos y obras referentes, por lo que su ensenanza resulta poco atractiva a estudiantes e incluso docentes, quienes suelen ver poca o ninguna utilidad en dedicarle horas de esfuerzo a su analisis. Se trata, sin duda, de un problema bastante extendido y recurrente.
Management of Liquid Organic Waste from Palm Oil Plant and Compost Cow to the Growth and Production of Sweet Corn (Zea mays saccharata Sturt)
Year: 2020

The growth and production of sweet corn (Zea mays saccharata Sturt) are strongly influenced by good genetics and environmental factors, including how to cultivate the soil so that the availability of nutrients is quite balanced. The long term goal of this research is to determine the effectiveness of a combination of palm oil mill effluent (LCPKS) and cow dung waste (LKTS) with EM4 bioactivator applied to sweet corn (Zea mays saccharata Sturt) This study used a factorial randomized block design (RBD) consisting of 2 factors with 12 treatment combinations and 3 replications to obtain 36 research plots. The factors studied are the formulation factor of a mixture of palm oil mill effluent with cow dung waste, which is denoted by (A) consisting of A1 70% palm oil mill waste and 30% cow dung, A2 50% effluent palm oil mill and 50% cow dung waste, A3 30% palm oil mill waste and 70% cow dung waste. The dose factor with the symbol (D) consists of, D0 control, D1 1.5 kg per plot, D2 3 kg per plot, D3 4.5 kg per plot. The parameters observed were plant height (cm) biomass samples (grams) sample production (grams) and plot production (kg) The results showed that different waste mix formulations and Original Research Article Hakim; ARJA, 12(3) 1 8, 2020; Article no.ARJA.54890 2 administration of different doses did not significantly influence plant height parameters because compost maturity must be assessed by measuring two or more compost parameters to prevent phytotoxicity. Therefore, quality assurance must be carried out on compost to determine the factors that cause phytotoxicity and also research must be intensified in determining lines that will be able to degrade waste faster, more efficiently and also produce non toxic compost that mixes the soil produced in plant growth. In addition, care must be taken in selecting raw materials for composting. The results showed that the mixed waste formulations significantly affected the biomass of the sample, where the highest average was obtained in processing A3 (30% of palm oil mill waste and 70% of cow dung waste. The research results also showed that dosing had a very significant effect on biomass parameter sample, sample production and plot production where the highest average is in the D3 treatment (4.5 kg per plot)
Microbial Nitrogen Cycle Hotspots in the Plant Bed/Ditch System of a Constructed Wetland with N2O Mitigation.
Venue: Environmental science technology
Year: 2018

Artificial microbial nitrogen (N) cycle hotspots in the plant bed/ditch system were developed and investigated based on intact core and slurry assays measurement using isotopic tracing technology, quantitative PCR and high throughput sequencing. By increasing hydraulic retention time and periodically fluctuating water level in heterogeneous riparian zones, hotspots of anammox, nitrification, denitrification, ammonium (NH4+ oxidation, nitrite (NO2 oxidation, nitrate (NO3 reduction and DNRA were all stimulated at the interface sediments, with the abundance and activity being about 1 3 orders of magnitude higher than those in nonhotspots. Isotopic pairing experiments revealed that in microbial hotspots, nitrite sources were higher than the sinks, and both NH4+ oxidation (55.8% and NO3 reduction (44.2% provided nitrite for anammox, which accounted for 43.0% of N loss and 44.4% of NH4+ removal in riparian zones but did not involve nitrous oxide (N2O) emission risks. High throughput analysis identified that bacterial quorum sensing mediated this anammox hotspot with B.fulgida dominating the anammox community, but it was B. anammoxidans and Jettenia sp. that contributed more to anammox activity. In the nonhotspot zones, the NO2 source (NO3 reduction dominated) was lower than the sink, limiting the effects on anammox. The in situ N2O flux measurement showed that the microbial hotspot had a 27.1% reduced N2O emission flux compared with the nonhotspot zones.
Learning Multi View Representation With LSTM for 3 D Shape Recognition and Retrieval
Venue: IEEE Transactions on Multimedia
Year: 2019

Shape representation for 3 D models is an important topic in computer vision, multimedia analysis, and computer graphics. Recent multiview based methods demonstrate promising performance for 3 D shape recognition and retrieval. However, most multiview based methods ignore the correlations of multiple views or suffer from high computional cost. In this paper, we propose a novel multiview based network architecture for 3 D shape recognition and retrieval. Our network combines convolutional neural networks (CNNs) with long short term memory (LSTM) to exploit the correlative information from multiple views. Well pretrained CNNs with residual connections are first used to extract a low level feature of each view image rendered from a 3 D shape. Then, a LSTM and a sequence voting layer are employed to aggregate these features into a shape descriptor. The highway network and a three step training strategy are also adopted to boost the optimization of the deep network. Experimental results on two public datasets demonstrate that the proposed method achieves promising performance for 3 D shape recognition and the state of the art performance for the 3 D shape retrieval.
MULTICHANNEL AUDIO CLASSIFICATION WITH NEURAL NETWORKS USING SCATTERING TRANSFORM
Year: 2018

This technical paper presents an approach for the 2018 acoustic scene classification challenge (DCASE 2018) task 5. A sequence of audio segments are observed by an array with 4 microphones. The task is to suggest a multichannel processing to classify the audio signals to one of 9 pre defined classes. The proposed approach combines a deep neural network with scattering transform. Each audio segment is first represented by two layers of scattering transform. The 4 denoised transforms of each of the two layers are combined together. Each of the fused layers are processed in parallel by two neural networks (NN) architectures, RESNET and long short term memory (LSTM) network, with a joint fully connected layer.
Graph Drawing by Stochastic Gradient Descent
Venue: IEEE Transactions on Visualization and Computer Graphics
Year: 2019

A popular method of force directed graph drawing is multidimensional scaling using graph theoretic distances as input. We present an algorithm to minimize its energy function, known as stress, by using stochastic gradient descent (SGD) to move a single pair of vertices at a time. Our results show that SGD can reach lower stress levels faster and more consistently than majorization, without needing help from a good initialization. We then show how the unique properties of SGD make it easier to produce constrained layouts than previous approaches. We also show how SGD can be directly applied within the sparse stress approximation of Ortmann et al.  making the algorithm scalable up to large graphs.
First principles study on electrochemical and chemical stability of solid electrolyte electrode interfaces in all solid state Li ion batteries
Year: 2016

All solid state Li ion batteries based on ceramic solid electrolyte materials are a promising next generation energy storage technology with high energy density and enhanced cycle life. The poor interfacial conductance is one of the key limitations in enabling all solid state Li ion batteries. However, the origin of this poor conductance has not been understood, and there is limited knowledge about the solid electrolyte electrode interfaces in all solid state Li ion batteries. In this study, we performed first principles calculations to evaluate the thermodynamics of the interfaces between solid electrolyte and electrode materials and to identify the chemical and electrochemical stabilities of these interfaces. Our computation results reveal that many solid electrolyte electrode interfaces have limited chemical and electrochemical stability, and that the formation of interphase layers is thermodynamically favorable at these interfaces. These formed interphase layers with different properties significantly affect the electrochemical performance of all solid state Li ion batteries. The mechanisms of applying interfacial coating layers to stabilize the interface and to reduce interfacial resistance are illustrated by our computation. This study demonstrates a computational scheme to evaluate the chemical and electrochemical stability of heterogeneous solid interfaces. The enhanced understanding of the interfacial phenomena provides the strategies of interface engineering to improve performances of all solid state Li ion batteries.
Natural Text Anonymization Using Universal Transformer with a Self attention*
Year: 2020

The paper focuses on the anonymization of natural language text in Russian. The problem of anonymization is topical in connection with the need to conduct studies aimed at assessing the effectiveness and stability of methods of attribution of the text to its intentional distortion by various techniques of anonymization. The paper presents a technique for anonymizing a Russian text based on a fast correlation filter, dictionary synonymization and a universal transformer model with a self attention mechanism. The automated system developed on its basis is tested on an experimental corpus of Russian texts. The texts obtained with its help are analyzed by the authorship identification system. The effectiveness of attribution of anonymous texts by a specialized software system was reduced to a level of random guessing, which allows to name the proposed methodology effective.
Wastewater management study for a textile processing industry
Year: 2013

Textile processing is both water and energy intensive process. Core activities and support activities of the textile industrial unit involves the use water as process water and cooling water in large quantities with subsequent generation of large amount of wastewater. The effluents resulting from these processes differ greatly in composition, due to differences in processes, used fabrics and machinery. It is essential that control measures be implemented to minimize waste generation. Our study involved the development of wastewater management system for a textile industrial unit. This unit dealing with polyester and cotton dyeing and fabric washing. The industrial unit was surveyed for environmental analysis to identify the water consuming and wastewater generations activities, for the adequacy and capacity assessment of the effluent treatment plant. Measures for water conservation and waste minimization through source reduction/ recycling and reuse and for treatment of wastewater that are cost effective and compliance with the standards have been developed. Results shows that with implementing measures for source reduction, reuse and recycle at all feasible places have reduced water consumption, wastewater generation and steam consumption in the industrial unit.
L'activite de prise de notes en situation de cours comparaison des pratiques d'etudiants de Francais langue maternelle et de Francais langue etrangere
Year: 2008

Considering notes taken while attending a course as a writing genre anchored in a specific discursive background, the parameters of which are to be taken into account, this thesis confronts the oral discourse of a young teacher (delivered in French) with the notes taken by French and Dutch students. In an often interdisciplinary approach, note taking has been examined in cognitive psychology, linguistics and didactics. The first part of the thesis consists in an assessment of these studies. Contrary to most of these works that rest on the practices of note takers, one of our objectives is to analyze the interrelation between teacher's discourse which, through more or less explicit hints, constantly guides the note takers and note taking. To make this oral discourse and these notes interrelate, several levels of analysis have been considered in the second part: that of the lexical units, of the clause, of the discourse. However, to assess the activity of note taking itself, intermediate stages have been defined according to their pragmatic role. The last part deals with the results that can be drawn from our studies. The reduction processed by note takers has thus been assessed and qualified. The reaction to the hints given by the teacher and entailing note taking has also been measured. These analyses made it possible to distinguish between different note taking modes. If Dutch and French students differ in their practices on a few points, it appears that the main differences lie in an individual practice of note taking. Some suggestions intending at providing some help to students have been sketched out according to the difficulties met with by note takers.
A Deep Semantic Natural Language Processing Platform
Year: 2017

This paper describes AllenNLP, a platform for research on deep learning methods in natural language understanding. AllenNLP is designed to support researchers who want to build novel language understanding models quickly and easily. It is built on top of PyTorch, allowing for dynamic computation graphs, and provides (1) a flexible data API that handles intelligent batching and padding, (2) highlevel abstractions for common operations in working with text, and (3) a modular and extensible experiment framework that makes doing good science easy. It also includes reference implementations of high quality approaches for both core semantic problems (e.g. semantic role labeling (Palmer et al. 2005) and language understanding applications (e.g. machine comprehension (Rajpurkar et al. 2016) AllenNLP is an ongoing open source effort maintained by engineers and researchers at the Allen Institute for Artificial Intelligence.
MuPNet: Multi modal Predictive Coding Network for Place Recognition by Unsupervised Learning of Joint Visuo Tactile Latent Representations
Venue: ArXiv
Year: 2019

Extracting and binding salient information from different sensory modalities to determine common features in the environment is a significant challenge in robotics. Here we present MuPNet (Multi modal Predictive Coding Network) a biologically plausible network architecture for extracting joint latent features from visuo tactile sensory data gathered from a biomimetic mobile robot. In this study we evaluate MuPNet applied to place recognition as a simulated biomimetic robot platform explores visually aliased environments. The F1 scores demonstrate that its performance over prior hand crafted sensory feature extraction techniques is equivalent under controlled conditions, with significant improvement when operating in novel environments.
A Terrible Beauty is Born
Year: 2016

In Vita Nova, Louise Gliick s latest and ninth book of poems, the poet resolutely examines and sheds the past. She considers various deaths which take place in a life: end of love, loss of safety, end of childhood, loss of a parent each death, while terrifying, involves transformation. That death approaches, both literally and figuratively, as prerequisite to change, is not a new concept. In the Bible, the verse reads: "except a corn of wheat fall into the ground and die, it abideth alone: but if it die, it bringeth forth much fruit." An old life is cast off so that a fresh, though unfamiliar, life may blossom. Metamorphosis is not a new theme for Gliick. In her Pulitzer Prize winning Wild Iris, the dormant snowdrops open: "I didn't expect to waken again, to feel. afraid, yes, but among you again crying yes risk joy in the raw wind of the new world." Vita Nova confronts the reader with the terror of transmutation, and then propels her through. A living captive in one poem states: "Everyone afraid of love is afraid of death." The poems of Vita Nova delve deeply into both subjects, never skirting the fears they provoke. Adept at assuming personae, Gliick conjures Dante's La Vita Nuova, Virgil's Aeneid, and Ovid's Metamorphoses; the enthralled lover, thwarted lover, and beloved, all take shape in these pages. The poems reflect immortal loves, earthly loves, descents into hell, and earthly terrors. While reconstructing her past, Gliick poses the central question: "Does it have to happen in the world to be real?" The book's epigraph, "The master said You must write what you see. But what I see does not
Lithium/Sulfide All Solid State Batteries using Sulfide Electrolytes.
Venue: Advanced materials
Year: 2020

All solid state lithium batteries (ASSLBs) are considered as the next generation electrochemical energy storage devices because of their high safety and energy density, simple packaging, and wide operable temperature range. The critical component in ASSLBs is the solid state electrolyte. Among all solid state electrolytes, the sulfide electrolytes have the highest ionic conductivity and favorable interface compatibility with sulfur based cathodes. The ionic conductivity of sulfide electrolytes is comparable with or even higher than that of the commercial organic liquid electrolytes. However, several critical challenges for sulfide electrolytes still remain to be solved, including their narrow electrochemical stability window, the unstable interface between the electrolyte and the electrodes, as well as lithium dendrite formation in the electrolytes. Herein, the emerging sulfide electrolytes and preparation methods are reviewed. In particular, the required properties of the sulfide electrolytes, such as the electrochemical stabilities of the electrolytes and the compatible electrode/electrolyte interfaces are highlighted. The opportunities for sulfide based ASSLBs are also discussed.