nils-herrmann/clean_scirepeval huggingface dataset:
Gilles Deleuze et Antonin Artaud L'impossibilite de penser
Year: 2013

In the thought of Deleuze, the poetry of Antonin Artaud seems like the line of convergence par excellence from which all the Deleuzian proliferation of concepts are developed. Indeed, Artaud is the person who shatters the image of thought or what we usually mean by " thinking " in philosophy rejecting its innateness and universality, in other words, the cogitatio natura universalis. Because, for both Artaud and Deleuze, thought is most often confronted by its real problem its powerlessness or its impossibility. So the first part of the thesis deals with understanding the dismissal of the image of thought in Deleuze's Difference and Repetition, from Artaud's notion of " genital inne " [innate sexuality] in the Correspondence with Jacques Riviere. If the image of thought says nothing about the process of thinking, of what logic are we capable Through the discovery of the paradoxical logic deployed in the paradoxes in Deleuze's Logic of Sense, it is a matter of thinking about the connection between Artaud and Nietzsche. The main thrust of this section is a critique of the judgement made by Artaud. Lastly, thrown into the paradoxes of life, the third part considers the great non thought of philosophy, that is the body indeed, of what body are we capable The challenge, the impossibility of thinking about the question of the body comparing Spinoza's Ethics and Artaud's body without organs is to reconnect thought with life, in accordance with the intention of Neitzsche's Gai saber [The Gay Science] and that Artaud did not cease to revise from his earliest writings. The impossibility of thought implies not only a separation from life, but also the unthinkable that is the body: indeed, does this mean talk of our own body as we experience it To what extent does the creation of a rhizome of concepts in A Thousand Plateaux by Deleuze and Guattari explore Artaud's body without organs, the body experienced that still remains mysterious for thought Artaud hoped that he would be loved not for his work, but for his life, testifying to a great health against a sick world: the prospect of the impossibility of thinking is then thought wounded and profound, taking on a life of its own in all its opacity.
Rapid and non destructive detection of chicken adulteration in minced beef using visible near infrared hyperspectral imaging and machine learning
Year: 2016

The main objective of this study was to evaluate the potential of visible near infrared (VNIR) hyperspectral imaging (400 1000 nm) and machine learning to detect adulteration in fresh minced beef with chicken. Minced beef samples were adulterated with minced chicken in the range 0 50% (w/w) at approximately 2% intervals. Hyperspectral images were acquired in the reflectance (R) mode and then transformed into absorbance (A) and Kubelka Munck (KM) units. Partial least squares regression (PLSR) models were developed to relate the three spectral profiles with the adulteration levels of the tested samples. These models were then validated using different independent data sets, and obtained the coefficient of determination (R2p) of 0.97, 0.97, and 0.96 with root mean square error in prediction (RMSEP) of 2.62, 2.45, and 3.18% (w/w) for R, A and KM spectra, respectively. To reduce the high dimensionality of the hyperspectral data, some important wavelengths were selected using stepwise regression. PLSR models were again created using these important wavelengths and the best model was then transferred in each pixel in the image to obtain prediction map. The results clearly ascertain that hyperspectral imaging coupled with machine learning can be used to detect, quantify and visualize the amount of chicken adulterant added to the minced beef.
Self supervised visual feature learning with curriculum
Venue: ArXiv
Year: 2020

Self supervised learning techniques have shown their abilities to learn meaningful feature representation. This is made possible by training a model on pretext tasks that only requires to find correlations between inputs or parts of inputs. However, such pretext tasks need to be carefully hand selected to avoid low level signals that could make those pretext tasks trivial. Moreover, removing those shortcuts often leads to the loss of some semantically valuable information. We show that it directly impacts the speed of learning of the downstream task. In this paper we took inspiration from curriculum learning to progressively remove low level signals and show that it significantly increase the speed of convergence of the downstream task.
Performance Analysis of Students Consuming Alcohol Using Data Mining Techniques
Year: 2017

Alcohol consumption in higher education institutes is not a new problem; the legal drinking age in the India is minimum 18 year, but heavy drinking by underage students and by those who are age 18 or older is dangerous, and disruptive. Excessive drinking among students is associated with a variety of negative consequences that include fatal and nonfatal injuries; alcohol poisoning; blackouts; academic failure; violence, including rape and assault; unintended pregnancy; sexually transmitted diseases, including HIV/AIDS; property damage; and vocational and criminal consequences that could jeopardize future job prospects. Because students vary widely in their drinking rates, it would be inaccurate to characterize all institutions as having an equally urgent drinking problem. But among students who do drink heavily, the problem is serious: the two out of five students who engage in binge drinking risk a wide range of alcohol related consequences, including grave injuries and death. This paper describes four popular data mining algorithms Sequential minimal optimization (SMO) Bagging, REP Tree and decision table (DT) extracted from a decision tree or rule based classifier to improve the efficiency of academic performance in the educational institutions for students who consume alcohol. In this paper, we present a real world experiment conducted at VBS Purvanchal University, Jaunpur, India. This method helps to identify the students who need special advising or counseling by the councilors/teachers to understand the danger of consuming alcohol.
DeepRec: An Open source Toolkit for Deep Learning based Recommendation
Venue: IJCAI
Year: 2019

Deep learning based recommender systems have been extensively explored in recent years. However, the large number of models proposed each year poses a big challenge for both researchers and practitioners in reproducing the results for further comparisons. Although a portion of papers provides source code, they adopted different programming languages or different deep learning packages, which also raises the bar in grasping the ideas. To alleviate this problem, we released the open source project: \textbf{DeepRec} In this toolkit, we have implemented a number of deep learning based recommendation algorithms using Python and the widely used deep learning package Tensorflow. Three major recommendation scenarios: rating prediction, top N recommendation (item ranking) and sequential recommendation, were considered. Meanwhile, DeepRec maintains good modularity and extensibility to easily incorporate new models into the framework. It is distributed under the terms of the GNU General Public License. The source code is available at github: https:/github.com/cheungdaven/DeepRec
Effects of Principal Stress Rotation on the Cumulative Deformation of Normally Consolidated Soft Clay under Subway Traffic Loading
Year: 2014

AbstractThe authors investigated the effects of principal stress rotation (PSR) on the traffic load induced settlement of subways in soft subsoil. Here, a series of hollow cylinder tests on normally consolidated, medium plasticity soft clay with and without principal stress rotation were performed along with finite element modeling and simulation. The results show significant increases in both excess pore water pressure and cumulative deformation of the normally consolidated soft clay when PSR is present and simulated, and the effects become more pronounced as the maximum effective principal stress ratio or load frequency increases. Under the actual traffic load induced stress in subsoil below the subway tunnel, the presence of PSR increases the cumulative deformation of soft clay by 9 23% compared with that without PSR. As an approximation, the cumulative deformation of soft clay with the effect of PSR can be estimated by multiplying the deformation derived from the repeated triaxial testing without PSR
README: REpresentation learning by fairness Aware Disentangling MEthod
Venue: ArXiv
Year: 2020

Fair representation learning aims to encode invariant representation with respect to the protected attribute, such as gender or age. In this paper, we design Fairness aware Disentangling Variational AutoEncoder (FD VAE) for fair representation learning. This network disentangles latent space into three subspaces with a decorrelation loss that encourages each subspace to contain independent information: 1) target attribute information, 2) protected attribute information, 3) mutual attribute information. After the representation learning, this disentangled representation is leveraged for fairer downstream classification by excluding the subspace with the protected attribute information. We demonstrate the effectiveness of our model through extensive experiments on CelebA and UTK Face datasets. Our method outperforms the previous state of the art method by large margins in terms of equal opportunity and equalized odds.
L'ecole au temps du coronaQuelques praticiens de pedagogie Freinet face a la pandemie du coronavirus en France
Year: 2020

La pandemie de la COVID19, dont les effets sont loin d'etre tous analyses, est un analyseur de notre systeme educatif. Le present article propose des hypotheses et orientations generales en vue d'une etude des pratiques de pedagogies cooperatives, essentiellement la pedagogie Freinet, en temps de confinement. Participer de la culture d'une classe cooperative, maintenant ou dans le passe, a t il un effet sur la resilience, psychique et sociale, des sujets et leur environnement Un corpus de productions collectives et individuelles, scolaires et familiales est deja identifiable on reperera ici les perspectives de coherence educative, anthropologique et therapeutique de ce champ de praxis pedagogiques. L'etayage praxique noue cooperation, travail, langage et culture, nouage qu'on observera a l'echelle de la classe, des outils (correspondance et journal) et dans la traversee du confinement par une ancienne eleve de classe cooperative.
Perception of health risks in Lao market vendors
Venue: Zoonoses and public health
Year: 2020

Wet markets are a critical part of South East Asian culture and economy. However, their role in circulation and transmission of both endemic and emerging disease is a source of concern in a region considered a hotspot of disease emergence. In the Lao People's Democratic Republic (Lao PDR, Laos) live and dead wild animals are frequently found in wet markets, despite legislation against the bushmeat trade. This is generally considered to increase the risk of disease transmission and emergence, although whether or not wildlife vendors themselves have indeed increased incidence of zoonotic disease has rarely been assessed. In preparation for a future longitudinal study of market vendors investigating vendors' exposure to zoonotic pathogens, we conducted a pilot survey of Lao market vendors of wildlife meat, livestock meat and vegetables, to identify demographic characteristics and potential control groups within markets. We also investigated baseline risk perception for infectious diseases among market vendors and assessed the association between risk perception and risk mitigation behaviours. The surveys conducted with 177 vendors revealed similar age, sex, ethnic background and geographical origin between vendor types, but differences in professional background and work history for livestock meat vendors. The perception of disease risk was very low across all vendors, as was the reported use of personal protective equipment, and the two appeared unrelated. Personal risk discounting and assumptions about transmission routes may explain this lack of association. This information will help inform the development of future research, risk communication and risk mitigation policy, especially in the light of the COVID 19 pandemic.
Fully Deep Learning for Slit Lamp Photo Based Nuclear Cataract Grading
Venue: MICCAI
Year: 2019

Age related cataract is a priority eye disease, with nuclear cataract as its most common type. This paper aims for automated nuclear cataract grading based on slit lamp photos. Different from previous efforts which rely on traditional feature extraction and grade modeling techniques, we propose in this paper a fully deep learning based solution. Given a slit lamp photo, we localize its nuclear region by Faster R CNN, followed by a ResNet 101 based grading model. In order to alleviate the issue of imbalanced data, a simple batch balancing strategy is introduced for improving the training of the grading network. Tested on a clinical dataset of 157 slit lamp photos from 39 female and 31 male patients, the proposed solution outperforms the state of the art, reducing the mean absolute error from 0.357 to 0.313. In addition, our solution processes a slit lamp photo in approximately 0.1 s, which is two order faster than the state of the art. With its effectiveness and efficiency, the new solution is promising for automated nuclear cataract grading.
Digital image signature using triple protection cryptosystem (RSA, Vigenere, and MD5)
Venue: 2017 International Conference on Smart Cities, Automation Intelligent Computing Systems (ICON SONICS)
Year: 2017

Authentication of digital media has been done with the various scheme, one of them is a digital signature. The main reason the technique of digital signature appears on the concerns of people when sending important documents and raises the thought that the file submitted is not changed when it is transmitted and the content is different when received by the recipient of the document. The digital signature attached by the sender to the document can be used as a tool to ensure that the submitted document is authentic or not manipulated. So research on digital signatures should be developed to improve its ability to provide security and prove the authenticity of the image. This paper proposes a combination of three algorithms to the created digital signature, namely: Rivest Shamir Adleman (RSA) Vigenere Cipher and Message Digest 5 (MD 5) The proposed method also tested with various attacks to measure the reliability of digital signatures. Various attacks which applied such as blurring, salt, and pepper, Gaussian filters. Based on the attacking result, the smallest change occurred in the blurring attack has a very good PSNR is 86.7532 dB. The experimental result proves the little change of image and filename can affect the validation result. Then, it can be concluded that the proposed method suitable for image authentication.
QoE Modeling for HTTP Adaptive Video Streaming A Survey and Open Challenges
Venue: IEEE Access
Year: 2019

With the recent increased usage of video services, the focus has recently shifted from the traditional quality of service based video delivery to quality of experience (QoE) based video delivery. Over the past 15 years, many video quality assessment metrics have been proposed with the goal to predict the video quality as perceived by the end user. HTTP adaptive streaming (HAS) has recently gained much attention and is currently used by the majority of video streaming services, such as Netflix and YouTube. HAS, using reliable transport protocols, such as TCP, does not suffer from image artifacts due to packet losses, which are common in traditional streaming technologies. Hence, the QoE models developed for other streaming technologies alone are not sufficient. Recently, many works have focused on developing QoE models targeting HAS based applications. Also, the recently published ITU T Recommendation series P.1203 proposes a parametric bitstream based model for the quality assessment of progressive download and adaptive audiovisual streaming services over a reliable transport. The main contribution of this paper is to present a comprehensive overview of recent and currently undergoing works in the field of QoE modeling for HAS. The HAS QoE models, influence factors, and subjective test methodologies are discussed, as well as existing challenges and shortcomings. The survey can serve as a guideline for researchers interested in QoE modeling for HAS and also discusses possible future work.
Theorizing and institutionalizing operation Sukuma Sakhe: a case study of integrated service delivery
Year: 2016

The authority of South Africa is in the midst of a profound economic crisis precipitated by high levels of unemployment and inequality, marked by political shifts unprecedented in scope subsequent to the 2016 local government elections. The recent election outcomes reveal disturbances in the social, political and economic systems of the country. These disturbances have been precipitated by low economic growth trajectory and poor investment in service delivery infrastructure. The central thesis of this paper is that in addressing the triple challenge of poverty, inequality and unemployment, a symptomatic approach of addressing social ills and service delivery will not work. This paper draws from institutional theory as a sense making mechanism to produce a scientific approach to integrated service delivery. Using the tenets of the critical reflecting methodological approach, institutional theory is deconstructed to provide an understanding of how to operationalize integrated service delivery across functions in a scientific fashion.
Sexual Orientation Enumeration in State Antibullying Statutes in the United States: Associations with Bullying, Suicidal Ideation, and Suicide Attempts Among Youth.
Venue: LGBT health
Year: 2019

The aim was to assess the associations of antibullying U.S. state statutes that enumerate sexual orientation with exposure to bullying and other stressors and with suicidal ideation and suicide attempts in sexual minority and non sexual minority youth.  We analyzed data from the 2015 national school based Youth Risk Behavior Survey, representative of 9th through 12th grade students attending public and private schools in the United States. We reviewed each state's antibullying statutes and classified them on enumeration.  Antibullying state laws that enumerate sexual orientation were associated with lower risk for suicide attempts and serious attempts requiring medical attention and lower risk for forced sexual intercourse. They were also associated with feeling safe at school or on the way to or from school. Results did not differ by sexual orientation.  Enumeration of sexual orientation was associated with reduced stressors and suicide attempts, but it is insufficient to remove significant disparities based on sexual orientation. Additional policies and practices are required to address persistent sexual orientation disparities in exposure to bullying and suicidal behavior.
A apropriacao do lexico e o uso do dicionario nas aulas de lingua portuguesa e de musica com criancas nos anos iniciais do ensino fundamental
Year: 2017

Este estudo tem por objetivo analisar como as criancas, em processo de alfabetizacao, se apropriam do lexico considerando se determinados conceitos presentes nas aulas de Musica e de Lingua Portuguesa. Diferentes vocabulos como orquestra, timbre, andamento, maestro, maestrina, apresentador, arranjo, plateia, ensaio, entre outros, pertencentes a um mesmo campo semantico, sao evidenciados em aulas de Musica e, de maneira integrada, sao construidos e reconstruidos nas aulas de Lingua Portuguesa. A evolucao dos conceitos aconteceu na medida em que as criancas tiveram a oportunidade de percebe los ou realiza los na pratica musical, seja atraves da performance ou de jogos e brincadeiras musicais. O estudo foi desenvolvido em uma sala de aula em que circulam diferentes generos e suportes textuais. Os generos textuais verbete, biografia e letra de musica, presentes nas aulas, foram analisados de modo a compreender como eles contribuem para a construcao de sentido por parte da crianca. A insercao das criancas em uma pratica de letramento e em praticas musicais e tambem objeto de analise na medida em que possibilita reflexao, analise e compreensao de determinados conceitos e consequente ampliacao do lexico. Ao longo deste trabalho utilizamos uma logica de investigacao etnografica (Castanheira, 2004; Green; Dixon Zaharlick, 2005) usando o recurso de videogravacao, alem de notas de campo e registros diversos produzidos pelas criancas em sala de aula. Artefatos coletados nas aulas de Lingua Portuguesa e de Musica compoem o conjunto de dados analisados. Estudos de (Carvalho; Bagno, 2011) (Ilari, 2002) (Souza, 2010) entre outros, contribuem de maneira significativa para as analises e discussoes apresentadas.
Metabolic engineering of CHO cells for the development of a robust protein production platform
Venue: PloS one
Year: 2017

Chinese hamster ovary (CHO) cells are the most preferred mammalian host used for the bio pharmaceutical production. A major challenge in metabolic engineering is to balance the flux of the tuned heterogonous metabolic pathway and achieve efficient metabolic response in a mammalian cellular system. Pyruvate carboxylase is an important network element for the cytoplasmic and mitochondrial metabolic pathway and efficiently contributes in enhancing the energy metabolism. The lactate accumulation in cell culture can be reduced by re wiring of the pyruvate flux in engineered cells. In the present work, we over expressed the yeast cytosolic pyruvate carboxylase (PYC2) enzyme in CHO cells to augment pyruvate flux towards the TCA cycle. The dual selection strategy is adopted for the screening and isolation of CHO clones containing varying number of PYC2 gene load and studied their cellular kinetics. The enhanced PYC2 expression has led to enhanced pyruvate flux which, thus, allowed reduced lactate accumulation up to 4 folds and significant increase in the cell density and culture longevity. With this result, engineered cells have shown a significant enhanced antibody expression up to 70% with improved product quality ~3 fold) as compared to the parental cells. The PYC2 engineering allowed overall improved cell performance with various advantages over parent cells in terms of pyruvate, glucose, lactate and cellular energy metabolism. This study provides a potential expression platform for a bio therapeutic protein production in a controlled culture environment.