nils-herrmann/clean_scirepeval huggingface dataset:
New insight on the mechanism of electrochemical cycling effects in MnO2 based aqueous supercapacitor
Venue: Journal of Power Sources
Year: 2019

The investigation of mechanism for electrochemical cycling process has become ever more important in supercapacitor electrode material for achieving higher stability and electrochemical performance. Herein, an electrochemical cycling effect has been demonstrated basing on the comprehensive study on the morphological and electronic evolution, which provides an insight into the capacity fluctuation mechanism in a typical MnO2 based supercapacitor. The results reveal that the significant changes of morphologies and chemical valence state of MnO2 take place accompanying with the intercalation of electrolyte ions (i.e. Na+ during the electrochemical cycling process. A structural reconstruction model is established to unravel the origin of microscopic changes of MnO2@carbon nanotubes (MnO2@CNTs) composites electrode and their relationships with the capacity at different electrochemical stages. It was found that the morphological and structural evolution of the electrode should be attributed to the dissolution redeposition process of MnO2, which governed by the cation distribution near the interface between electrode and electrolyte. The ion intercalation deintercalation process is evidenced by the oxidation state variations of Mn with the Na+ intercalation amount. Therefore, the capacity performance of MnO2@CNTs was strongly correlated with its structural and chemical states. This work will open up new perspectives for the capacity performance improvement of MnO2 based electrode materials.
CRISPR/Cas9: A Tool to Circumscribe Cotton Leaf Curl Disease
Venue: Front. Plant Sci.
Year: 2016

The begomoviruses (family Geminiviridae) associated with cotton leaf curl disease (CLCuD) pose a major threat to cotton productivity in South East Asia including Pakistan and India. These viruses have single stranded, circular DNA genome, of ~2800 nt in size, encapsidated in twinned icosa hedera, transmitted by ubiquitous whitefly and are associated with satellite molecules referred to as alpha and betasatellite. To circumvent the proliferation of these viruses numerous techniques, ranging from conventional breeding to molecular approaches have been applied. Such devised strategies worked perfectly well for a short time period and then viruses relapse due to various reasons including multiple infections, where related viruses synergistically interact with each other, virus proliferation and evolution. Another shortcoming is, until now, that all molecular biology approaches are devised to control only helper begomoviruses but not to control associated satellites. Despite the fact that satellites could add various functions to helper begomoviruses, they remain ignored. Such conditions necessitate a very comprehensive technique that can offer best controlling strategy not only against helper begomoviruses but also their associated DNA satellites. In the current scenario clustered regulatory interspaced short palindromic repeats (CRISPR)/CRISPR associated nuclease 9 (Cas9) has proved to be versatile technique that has very recently been deployed successfully to control different geminiviruses. The CRISPR/Cas9 system has been proved to be a comprehensive technique to control different geminiviruses, however, like previously used techniques, only a single virus is targeted and hitherto it has not been deployed to control begomovirus complexes associated with DNA satellites. Here in this article, we proposed an inimitable, unique, and broad spectrum controlling method based on multiplexed CRISPR/Cas9 system where a cassette of sgRNA is designed to target not only the whole CLCuD associated begomovirus complex but also the associated satellite molecules.
An Occluded Stacked Hourglass Approach to Facial Landmark Localization and Occlusion Estimation
Venue: IEEE Transactions on Intelligent Vehicles
Year: 2017

A key step to driver safety is to observe the driver's activities with the face being a key step in this process to extracting information such as head pose, blink rate, yawns, talking to passenger which can then help derive higher level information, such as distraction, drowsiness, intent, and where they are looking. In the context of driving safety, it is important for the system perform robust estimation under harsh lighting and occlusion but also be able to detect when the occlusion occurs so that information predicted from occluded parts of the face can be taken into account properly. This paper introduces the Occluded Stacked Hourglass, based on the work of original Stacked Hourglass network for body pose joint estimation, which is retrained to process a detected face window and output 68 occlusion heat maps, each corresponding to a facial landmark. Landmark location, occlusion levels and a refined face detection score, to reject false positives, are extracted from these heat maps. Using the facial landmark locations, features such as head pose and eye/mouth openness can be extracted to derive driver attention and activity. The system is evaluated for face detection, head pose, and occlusion estimation on various datasets in the wild, both quantitatively and qualitatively, and shows state of the art results.
El sentido etico de la evaluacion educativa
Year: 2018

El proposito fundamental de esta indagacion documental es reflexionar sobre el sentido etico de la evaluacion educativa, con la finalidad de buscar una reconceptualizacion de la practica evaluativa como proceso flexible, teorico y etico para el debate discursivo y argumentativo en un clima distinto, solidario, sensible, humano, de respeto e integracion social. Asi mismo confrontando a la evaluacion educativa como elemento de construccion, reflexion e interpretacion del conocimiento entre docente y estudiante a fin de cambiar y decidir sobre su propia realidad, una evaluacion sin dejar la exigencia, pero con una interrelacion etico emancipadora para la critica, diferencia y flexibilidad entre los actores The ethical sense of educational evaluation The fundamental purpose of this documentary inquiry is to reflect on the ethical meaning of educational evaluation, with the aim of seeking a reconceptualization of evaluative practice as a flexible, theoretical and ethical process for discursive and argumentative debate in a different, supportive, sensitive climate, human, respect and social integration. Also confronting the educational evaluation as an element of construction, reflection and interpretation of knowledge between teacher and student in order to change and decide on their own reality, an evaluation without leaving the requirement, but with an ethical emancipatory interrelation for criticism, difference and flexibility among the evaluative actors.
A systematic analysis of distressing near death experience accounts
Venue: Memory
Year: 2019

Near death experiences (NDEs) are usually associated with positive affect, however, a small proportion are considered distressing. We aimed to look into the proportion of distressing NDEs in a sample of NDE narratives, categorise distressing narratives according to Greyson and Bush's classification (inverse, void or hellish) and compare distressing and "classical" NDEs. Participants wrote down their experience, completed the Memory Characteristics Questionnaire (assessing the phenomenology of memories) and the Greyson scale (characterising content of NDEs) The proportion of suicidal attempts, content and intensity of distressing and classical NDEs were compared using frequentist and Bayesian statistics. Distressing NDEs represent 14% of our sample (n 123) We identified 8 inverse, 8 hellish and 1 void accounts. The proportion of suicide survivors is higher in distressing NDEs as compared to classical ones. Finally, memories of distressing NDEs appear as phenomenologically detailed as classical ones. Distressing NDEs deserve careful consideration to ensure their integration into experiencers' identity.
Generative Adversarial Networks Based on Edge Computing With Blockchain Architecture for Security System
Venue: 2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
Year: 2020

This paper proposes a face recognition for security system based on artificial intelligence and edge computing with a limited dataset. Generative adversarial networks (GANs) are used to manipulate the dataset in order to overcome the accuracy issue of the limited dataset. The average accuracy of GANs outperforms the limited dataset up to 92.79% Edge computing is used to overcome a high latency of cloud computing with Jetson Nano board, which produces an average of 8.8 frame per second. Furthermore, the detected face will make a payment using a smart contract to the blockchain network with low static difficulty to open a gate or door's lock. In comparison, a low static difficulty outperforms the Proof of Work consensus algorithm in terms of transaction time around 33 39 milliseconds.
Speaker Aware BERT for Multi Turn Response Selection in Retrieval Based Chatbots
Venue: CIKM
Year: 2020

In this paper, we study the problem of employing pre trained language models for multi turn response selection in retrieval based chatbots. A new model, named Speaker Aware BERT (SA BERT) is proposed in order to make the model aware of the speaker change information, which is an important and intrinsic property of multi turn dialogues. Furthermore, a speaker aware disentanglement strategy is proposed to tackle the entangled dialogues. This strategy selects a small number of most important utterances as the filtered context according to the speakers' information in them. Finally, domain adaptation is performed to incorporate the in domain knowledge into pre trained language models. Experiments on five public datasets show that our proposed model outperforms the present models on all metrics by large margins and achieves new state of the art performances for multi turn response selection.
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Year: 2015

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Tole a brasage en alliage d'aluminium pour soudage par resistance electrique
Year: 2015

L'invention se rapporte a une tole a brasage en alliage d'aluminium pour le soudage par resistance electrique, qui est mince, qui presente une resistance elevee et permet de reduire l'apparition de defauts de soudage pendant le soudage par resistance electrique. La tole a brasage en alliage d'aluminium pour le soudage par resistance electrique est obtenue par placage d'au moins une surface d'un materiau d'ame avec un materiau d'apport de brasage et est caracterisee en ce que le materiau d'apport de brasage est constitue d'un alliage d'aluminium qui contient 5,5 a 12,0 en masse de Si, tout en contenant de 0,0003 a 0,0030 en masse de Na et/ou 0,0020 a 0,1000 en masse de Sr, le reste etant constitue d'Al et d'impuretes inevitables et la viscosite a l'etat fondu du materiau d'apport de brasage a 650 degC est inferieure ou egale a 0,01 Pa;s.
First report of Lasiodiplodia theobromae causing spadix rot in Anthurium andraeanum
Year: 2019

Spadix rot was reported in Anthurium andraeanum cultivation farms in southern Thailand. The pathogen was identified as Lasiodiplodia theobromae, based on morphology and the nucleotide sequences of the internal transcribed spacer (ITS) and translation elongation factor 1 a (EF1 a) genes. Pathogenicity test proved Koch's postulates, supporting that L. theobromae caused spadix rot in A. andraeanum. To our knowledge, this is the first report of L. theobromae causing spadix rot in A. andraeanum, in Thailand and elsewhere.
Span Based Open Information Extraction
Venue: ArXiv
Year: 2019

In this paper, we propose a span based model combined with syntactic information for n ary open information extraction. The advantage of span model is that it can leverage span level features, which is difficult in token based BIO tagging methods. We also improve the previous bootstrap method to construct training corpus. Experiments show that our model outperforms previous open information extraction systems. Our code and data are publicly available at this https URL
Lambert's theorem and projective dynamics
Venue: Philosophical Transactions of the Royal Society A
Year: 2019

We prove that the classical Lambert theorem about the elapsed time on an arc of Keplerian orbit extends without change to the Kepler problem on a space of constant curvature. We prove that the Hooke problem has a property similar to Lambert's theorem, which also extends to the spaces of constant curvature. This article is part of the theme issue 'Topological and geometrical aspects of mass and vortex dynamics'
State estimation under false data injection attacks: Security analysis and system protection
Venue: Autom.
Year: 2018

The security issue in the state estimation problem is investigated for a networked control system (NCS) The communication channels between the sensors and the remote estimator in the NCS are vulnerable to attacks from malicious adversaries. The false data injection attacks are considered. The aim of this paper to find the so called insecurity conditions under which the estimation system is insecure in the sense that there exist malicious attacks that can bypass the anomaly detector but still lead to unbounded estimation errors. In particular, a new necessary and sufficient condition for the insecurity is derived in the case that all communication channels are compromised by the adversary. Moreover, a specific algorithm is proposed for generating attacks with which the estimation system is insecure. Furthermore, for the insecure system, a system protection scheme through which only a few (rather than all) communication channels require protection against false data injection attacks is proposed. A simulation example is utilized to demonstrate the effectiveness of the proposed conditions/algorithms in the secure estimation problem for a flight vehicle.
Phenotype Profiling for Forensic Purposes: Determining Donor Sex Based on Fourier Transform Infrared Spectroscopy of Urine Traces.
Venue: Analytical chemistry
Year: 2019

Forensic science is an important field of analytical chemistry where vibrational spectroscopy, in particular Fourier transform infrared spectroscopy and Raman spectroscopy, present advantages as they have a nondestructive nature, high selectivity, and no need for sample preparation. Herein, we demonstrate a method for determination of donor sex, based on attenuated total reflection Fourier transform infrared (ATR FT IR) spectroscopy of dry urine traces. Trace body fluid evidence is of special importance to the modern criminal investigation as a source of individualizing DNA evidence. However, individual identification of a urine donor is generally difficult because of the small amount of DNA. Therefore, the development of an innovative method to provide phenotype information about the urine donor including sex is highly desirable. In this study, we developed a multivariate discriminant model for the ATR FT IR spectra of dry urine to identify the donor sex. Rigorous selection of significant wavenumbers on the spectrum using a genetic algorithm enabled superb discrimination performance for the model and conclusively indicated a chemical origin for donor sex differences, which was supported by physiological knowledge. Although further investigations need to be conducted, this proof of concept study demonstrates the great potential of the developed methodology for phenotype profiling based on the analysis of urine traces.
Test debts identification in a test factory
Venue: SBQS
Year: 2019

Testing processes are commonly used with the aim of systematizing testing activities within a software development project or in a Test Factory (TF) However, even using a process, the team may fail to perform testing activities, intentionally or not, in order to, for example, make a faster delivery. In this situation, the team may incur a Technical Debt (TD) technical commitment generated during the software development lifecycle that may be beneficial in the short term, but in the long term, may be detrimental to the quality of the project. These TDs should be identified and managed, because if they remain invisible and non refunded, they may accumulate incrementally and hinder, or even make impossible, maintenance tasks and software evolution. In this context, this work aims to report the experience of identifying technical test debts in a Test Factory. As object of the study, Test Debts were analyzed in five projects with the industry, in 2017, 2018 and 2019. As a result, four Test Debts causes were identified over the three years of our experience in the industry. Also, we present 11 lessons learned that help to identify and prevent Test Debts.
Review Based Cross Domain Recommendation Through Joint Tensor Factorization
Venue: DASFAA
Year: 2017

Cross domain recommendation which aims to transfer knowledge from auxiliary domains to target domains has become an important way to solve the problems of data sparsity and cold start in recommendation systems. However, most existing works only consider ratings and tags, but ignore the text information like reviews. In reality, review text in some way well explains the reason why a product could gain such high or low ratings and reflect users' sentiment towards different aspects of an item. For instance, reviews can be taken advantage to obtain users' attitudes towards the specific aspect "screen" or "battery" of a "cell phone" Taking these aspect factors into cross domain recommendation will bring us more about user preference, and thus could potentially improve the performance of recommendation. In this paper, we for the first time study how to fully exploit the aspect factors extracted from the review text to improve the performance of cross domain recommendation. Specifically, we first model each user's sentiment orientation and concern degree towards different aspects of items extracted from reviews as tensors. To effectively transfer the aspect level preferences of users towards items, we propose a joint tensor factorization model on auxiliary domain and target domain together. Experimental results on real data sets show the superior performance of the proposed method especially in the cold start users in target domain by comparison with several state of the arts cross domain recommendation methods.
Effects of Positive End expiratory Pressure Titration and Recruitment Maneuver on Lung Inflammation and Hyperinflation in Experimental Acid Aspiration induced Lung Injury
Venue: Anesthesiology
Year: 2012

In acute lung injury positive end expiratory pressure (PEEP) and recruitment maneuver are proposed to optimize arterial oxygenation. The aim of the study was to evaluate the impact of such a strategy on lung histological inflammation and hyperinflation in pigs with acid aspiration induced lung injury. Forty seven pigs were randomly allocated in seven groups: (1) controls spontaneously breathing; (2) without lung injury, PEEP 5 cm H2O; (3) without lung injury, PEEP titration; (4) without lung injury, PEEP titration recruitment maneuver; (5) with lung injury, PEEP 5 cm H2O; (6) with lung injury, PEEP titration; and (7) with lung injury, PEEP titration recruitment maneuver. Acute lung injury was induced by intratracheal instillation of hydrochloric acid. PEEP titration was performed by incremental and decremental PEEP from 5 to 20 cm H2O for optimizing arterial oxygenation. Three recruitment maneuvers (pressure of 40 cm H2O maintained for 20 s) were applied to the assigned groups at each PEEP level. Proportion of lung inflammation, hemorrhage, edema, and alveolar wall disruption were recorded on each histological field. Mean alveolar area was measured in the aerated lung regions. Acid aspiration increased mean alveolar area and produced alveolar wall disruption, lung edema, alveolar hemorrhage, and lung inflammation. PEEP titration significantly improved arterial oxygenation but simultaneously increased lung inflammation in juxta diaphragmatic lung regions. Recruitment maneuver during PEEP titration did not induce additional increase in lung inflammation and alveolar hyperinflation. In a porcine model of acid aspiration induced lung injury, PEEP titration aimed at optimizing arterial oxygenation, substantially increased lung inflammation. Recruitment maneuvers further improved arterial oxygenation without additional effects on inflammation and hyperinflation.
The Mother of All Pandemics Is 100 Years Old (and Going Strong)
Venue: American journal of public health
Year: 2018

This year marks the 100th anniversary of the deadliest event in human history. In 1918 1919, pandemic influenza appeared nearly simultaneously around the globe and caused extraordinary mortality (an estimated 50 100 million deaths) associated with unexpected clinical and epidemiological features. The descendants of the 1918 virus remain today; as endemic influenza viruses, they cause significant mortality each year. Although the ability to predict influenza pandemics remains no better than it was a century ago, numerous scientific advances provide an important head start in limiting severe disease and death from both current and future influenza viruses: identification and substantial characterization of the natural history and pathogenesis of the 1918 causative virus itself, as well as hundreds of its viral descendants; development of moderately effective vaccines; improved diagnosis and treatment of influenza associated pneumonia; and effective prevention and control measures. Remaining challenges include development of vaccines eliciting significantly broader protection (against antigenically different influenza viruses) that can prevent or significantly downregulate viral replication; more complete characterization of natural history and pathogenesis emphasizing the protective role of mucosal immunity; and biomarkers of impending influenza associated pneumonia.