nils-herrmann/clean_scirepeval huggingface dataset:
Scenarisation pedagogique pour des EIAH ouverts une approche dirigee par les modeles et specifique au domaine metier. (Instructional design for open TEL systems model driven and domain specific approach)
Year: 2012

Dans cette these, nous nous sommes interesses a l'ouverture des EIAH (EnvironnementsInformatiques pour l'Apprentissage Humain) pour repondre a leur faible deploiement dansles etablissements de formation, en facilitant leur appropriation par des usagers. Notre travailde recherche s'inscrit dans le cadre du projet REDiM (Reingenierie des EIAH Dirigee par lesModeles) mene au LIUM (Laboratoire d'Informatique de l'Universite du Maine) dont un desobjectifs est d'integrer les enseignants dans le processus de conception des scenariospedagogiques d'un EIAH.Nous proposons une approche d'ingenierie et de reingenierie pour rendre un EIAH ouverta la conception et a l'adaptation de ses scenarios pedagogiques par les enseignantsutilisateurs. Nous avons defini un processus de conception base sur la modelisationde scenarios pedagogiques ouverts (SPO) qui permet l'instrumentation des enseignantspour les aider dans la conception continue (i.e. qui se poursuit dans l'usage) d'une activited'apprentissage. Nous faisons trois propositions scientifiques Un modele de representation des SPO, qui permet de les structurer en variantes enfonction des contextes d'execution. Nous qualifions ce modele de rationnel puisqu'il s'appuieprincipalement sur l'approche du Design Rationale que nous avons adaptee a notreproblematique. Un processus iteratif et incremental d'ingenierie et de reingenierie qui guide lesenseignants pour concevoir et adapter des SPO conformes au modele que nous avonsdefini. Une methode dirigee par les modeles et specifique au domaine metier pour instrumenterle processus d'ouverture des scenarios pedagogiques d'un EIAH existant. Cette methoded'instrumentation, reposant sur l'IDM (Ingenierie Dirigee par les Modeles) et le DSM(Domain Specific Modeling) implique les enseignants utilisateurs de l'EIAH, consideres icicomme des experts du domaine. Elle est structuree en plusieurs phases qui amenentprogressivement a definir, de facon specifique a l'EIAH considere, un langage d'expressiondes SPO (ADSGEML Adaptive Domain Specific Graphical Educational ModelingLanguage) et un editeur associe permettant la conception et l'adaptation des SPO dansl'univers metier de l'EIAH.Afin d'evaluer et de raffiner nos propositions, nous les avons appliquees sur l'EIAH<<Hop3x> prealablement concu au LIUM dans le cadre d'un autre projet pour pratiquer laprogrammation orientee objet. Nous avons donc elabore un ADSGEML et un environnementd'edition graphique pour permettre aux enseignants de concevoir et d'adapterdynamiquement des sessions ouvertes de Hop3x, a un niveau eleve d'abstraction.
Incremental Learning Through Deep Adaptation
Venue: IEEE Transactions on Pattern Analysis and Machine Intelligence
Year: 2020

Given an existing trained neural network, it is often desirable to learn new capabilities without hindering performance of those already learned. Existing approaches either learn sub optimal solutions, require joint training, or incur a substantial increment in the number of parameters for each added domain, typically as many as the original network. We propose a method called Deep Adaptation Modules (DAM) that constrains newly learned filters to be linear combinations of existing ones. DAMs precisely preserve performance on the original domain, require a fraction (typically 13 percent, dependent on network architecture) of the number of parameters compared to standard fine tuning procedures and converge in less cycles of training to a comparable or better level of performance. When coupled with standard network quantization techniques, we further reduce the parameter cost to around 3 percent of the original with negligible or no loss in accuracy. The learned architecture can be controlled to switch between various learned representations, enabling a single network to solve a task from multiple different domains. We conduct extensive experiments showing the effectiveness of our method on a range of image classification tasks and explore different aspects of its behavior.
Multiplier Sport Centre Sumatera Utara Terhadap Pengembangan Kawasan
Year: 2020

Sport Center secara umum merupakan gedung multifungsi yang memadukan fungsi Olahraga Prestasi dan Olahraga Rekreasi yang didalamnya menawarkan area yang cukup untuk mengakomodasi banyak pengunjung. Sumatra Utara akan membangun sport centre yang dialokasikan untuk mengisi kebutuhan ruang PON 2022. Meskipun bidang nya hanya olahraga, Konsep yang ditawarkan akan mencerminkan semua kegiatan yang ada di Sumatera Utara, baik ekonomi, sosial dan budaya. Dengan demikian diperkirakan perlu suatu manajemen yang akan mengantispasi multiplier Sport Center tersebut. Dalam Menentukan multiplier Sport Center tersebut digunakan metoda AHP. AHP pada dasarnya didisain untuk menangkap persepsi orang yang berhubungan sangat erat dengan permasalahan tertentu melalui prosedur yang didisain untuk sampai kepada suatu skala preferensi diantara berbagai alternatif. Dengan demikian, maka AHP sebagai model multiobyektif dan multi kriteria dalam analisis manajemen ini. Adapun hasil Analisis AHP ini adalah sport center sumut tersebut akan memberikan kaitan sebesar 35,7 terhadap daya saing Sektor Pertanian dan Pariwisata, kemudian akan meningkatan kualitas kesehatan masyarakat (20,1% akan menimbulkan kebutuhan infrastuktur (18,5% kemudian terhadap pendidikan (13,6% serta kesempatan kerja (12% Kata kunci Manajemen, Sport Center, Sumatera Utara, AHP
Modern Coding Theory
Year: 2008

Having trouble deciding which coding scheme to employ, how to design a new scheme, or how to improve an existing system? This summary of the state of the art in iterative coding makes this decision more straightforward. With emphasis on the underlying theory, techniques to analyse and design practical iterative coding systems are presented. Using Gallager's original ensemble of LDPC codes, the basic concepts are extended for several general codes, including the practically important class of turbo codes. The simplicity of the binary erasure channel is exploited to develop analytical techniques and intuition, which are then applied to general channel models. A chapter on factor graphs helps to unify the important topics of information theory, coding and communication theory. Covering the most recent advances, this text is ideal for graduate students in electrical engineering and computer science, and practitioners. Additional resources, including instructor's solutions and figures,
Madagascar, musiques foisonnantes
Year: 2013

Les 18 tribus peuplant Madagascar partagent une facon bien a elles d'envisager la musique. Elles s'appuient sur deux constantes un art consomme du chant polyphonique, un melange de rythmes ternaires et binaires structurant melodies et paroles. Sur cette base, invention, fantaisie, genie de l'harmonie et de la melodie stimulent l'emulation entre des musiciens fiers de developper l'originalite propre a leurs cultures respectives. Petite revue de cette grande diversite. L'ile de Madagascar, su.
Private Schooling and School Choice as Global Phenomena: An Introduction
Year: 2017

More than 25 years ago, Chubb and Moe (Politics, Markets, and America's Schools, Brookings Institution, Washington, DC, 1990) revitalised Friedman's (Capitalism and freedom, The University of Chicago Press, Chicago, 1982 [1962] earlier contention that a market driven approach to education, in which parents have primary control over schools, will produce better schools than a state driven one. More power to the consumers (pupils and parents) and less influence by state authorities would improve academic achievement and make schools more efficient and just. School organisation and school control should therefore no longer be the business of the state, but of the civil society and private respectively market protagonists more (private) suppliers and more choice would make schools 'great again'
Benchmarking commercial emotion detection systems using realistic distortions of facial image datasets
Venue: The Visual Computer
Year: 2020

Currently, there are several widely used commercial cloud based services that attempt to recognize an individual's emotions based on their facial expressions. Most research into facial emotion recognition has used high resolution, front oriented, full face images. However, when images are collected in naturalistic settings (e.g. using smartphone's frontal camera) these images are likely to be far from ideal due to camera positioning, lighting conditions, and camera shake. The impact these conditions have on the accuracy of commercial emotion recognition services has not been studied in full detail. To fill this gap, we selected five prominent commercial emotion recognition systems Amazon Rekognition, Baidu Research, Face+ Microsoft Azure, and Affectiva and evaluated their performance via two experiments. In Experiment 1, we compared the systems' accuracy at classifying images drawn from three standardized facial expression databases. In Experiment 2, we first identified several common scenarios (e.g. partially visible face) that can lead to poor quality pictures during smartphone use, and manipulated the same set of images used in Experiment 1 to simulate these scenarios. We used the manipulated images to again compare the systems' classification performance, finding that the systems varied in how well they handled manipulated images that simulate realistic image distortion. Based on our findings, we offer recommendations for developers and researchers who would like to use commercial facial emotion recognition technologies in their applications.
Exploiting the use of mobile technologies for chronic patients home distance monitoring
Venue: 6th Iberian Conference on Information Systems and Technologies (CISTI 2011)
Year: 2011

Recently, the number of patients with diagnosis of chronic diseases has significantly increased in western societies. This growth implies an increase in both costs and resources for the health system as well as in the number of trips to health centers by this class of patients. Mobile communication technologies can be exploited to get reduced costs whereas chronic patients and their relatives can improve their quality of life. Otherwise, wireless communications can be affected by interference generated in patients' home environments. In this paper, we present a work which implies a change in the concept of health services and distance monitoring of patients with chronic diseases whilst helps to improve assistance quality as well.
Research and Discussion on the Development of Theory and Practice in Environment Accounting
Year: 2017

Environment accounting is an emerging product of China's enterprise economy in recent years. It is accompanied by global environmental problems, resource problems and the increasing environmental problems of enterprises. In such an environment, the enterprise must enhance the demand for environmental information combined with their own interests, thus to maintain normal and healthy production and business behavior, avoiding environmental risks as far as possible, making effective decisions conducive to management and production. Therefore, this paper is mainly to study a lot of elements involved in enterprise environment accounting in the construction of basic theory structure. Meanwhile, this paper is to deal with the practical operation technical process of enterprise environment accounting in the cost processing. On the one hand, the establishment of accounting is to co ordinate the enterprise economy; on the other hand, it can also establish its assumed main body objectives and principles, forming its own basic theoretical system. As the an important branch of modern enterprise financial system, enterprise environment accounting should not only consider many aspects of impact brought by the enterprise economic activities, but also conduct the calculation of all environmental matters involved in enterprise, these accounting contents are classified and summarized into the accounting system. Interpretation of system elements of enterprise environment accounting theory The goal, hypothesis, object and principle are the four major elements in the traditional accounting system, and the theoretical system of enterprise environment accounting is analyzed one by one. (A) Analysis of enterprise environment accounting goal The enterprise environment accounting goal mainly includes two kinds: basic goal and specific target. First, the basic goal is to achieve the mutual harmonization of enterprise economic and social benefits. Considering that the traditional accounting focuses much on the achievement of single goal decision making under the economic efficiency, so when there's the growth period of socio economy, the environmental problems will be exposed accordingly, bringing great pressure for social and economic development. In order to give more attention to enterprise environment transformation, the basic goal of environment accounting is focused on the economic benefit oriented decision making development to ensure mutual perfect coordination of economic and social benefits, achieving the sustainable development goal of the enterprise in the environment of social market economy. Next is for specific goal. Enterprise environment will provide the enterprise with a wide range of sustainable development services, so there may be the existence of different environmental accounting information, users and information demand. Therefore, the theoretical development of environment accounting will also put forward a variety of requirements for its object. 4th International Conference on Education, Management and Computing Technology (ICEMCT 2017)
Design of PPG Based Heart Rate Sensor Enabling Motion Artifact Cancellation
Year: 2015

We have proposed a photoplethysmography (PPG) based heart rate sensor which is equipped with a normal PPG sensor and a motion artifact sensor to be able to cancel motion artifact induced during exercise. It has two critical design parameters such as the height of the motion artifact sensor and the distance between the motion artifact sensor and the normal PPG sensor. This paper tries to determine the two parameters by experiments with a subject.
RESPON ATAS TOKOH PEREMPUAN YANG BERPROFESI SEBAGAI BANDAR NARKOBA DI KINGSMAN: THE GOLDEN CIRCLE
Year: 2019

Dalam makalah ini, akan dianalisa respons dari pembaca mengenai isu terhadap perempuan yang menjadi bandar narkoba. Biasanya, bandar narkoba adalah seorang lakilaki, namun dalam film berjudul Kingsman: Golden Circle, seorang perempuan bernama Popy adalah seorang bandar narkoba. Oleh karena itu, hal ini menjadi menantang untuk mengetahui respons dari responden terhadap isu tersebut. Responden adalah generasi muda di masa datang. Oleh karena itu, penting untuk mendiskusikan mengenai sudut pandang
Formes alternatives de production energetique et reconfigurations politiques. La sociologie des energies alternatives comme etude des potentialites de reorganisation du collectif
Year: 2013

Les choix energetiques qui sont faits dans une societe sont aussi des choix politiques. Cette contribution vise a etudier dans quelle mesure ces choix peuvent etre reorientes par les developpements technologiques associes aux energies renouvelables, en contribuant ainsi a une redistribution des possibilites et, correlativement, a des reorganisations sociales. Pour montrer que le developpement des energies alternatives depend certes d'avancees technologiques, mais que, dans cette dynamique, elles peuvent aussi reveler des potentialites politiques, trois etapes sont proposees: 1) la premiere explicite les arguments theoriques qui peuvent etre deployes en faveur d'une approche en termes de potentialisme technologique 2) la deuxieme prolonge cette approche en degageant un ensemble de potentialites rattachables aux energies renouvelables et le modele qui pourrait prendre corps a travers ces formes alternatives 3) la troisieme examine comment ces potentialites pourraient trouver des voies d'actualisation.
Personalizing a Dialogue System With Transfer Reinforcement Learning
Venue: AAAI
Year: 2018

It is difficult to train a personalized task oriented dialogue system because the data collected from each individual is often insufficient. Personalized dialogue systems trained on a small dataset can overfit and make it difficult to adapt to different user needs. One way to solve this problem is to consider a collection of multiple users' data as a source domain and an individual user's data as a target domain, and to perform a transfer learning from the source to the target domain. By following this idea, we propose "PETAL"(PErsonalized Task oriented diALogue) a transfer learning framework based on POMDP to learn a personalized dialogue system. The system first learns common dialogue knowledge from the source domain and then adapts this knowledge to the target user. This framework can avoid the negative transfer problem by considering differences between source and target users. The policy in the personalized POMDP can learn to choose different actions appropriately for different users. Experimental results on a real world coffee shopping data and simulation data show that our personalized dialogue system can choose different optimal actions for different users, and thus effectively improve the dialogue quality under the personalized setting.
Perspective of medical students on online teaching learning process during COVID 19 pandemic
Year: 2020

In India, responses to the COVID 19 pandemic in medical education resulted in closures of medical colleges and adoption of online teaching learning methods, which is challenging for both faculty and students.  The aim of this study is to know the perspectives of medical students on online teaching learning method and to evaluate the efficacy of online teaching learning process.  One hundred students of the first MBBS course were included in the study. The present study was conducted in a form of online survey using Google forms.  A total of 97 students participated willingly in the study, among the participants 56% were satisfied, 32% remained neutral, and 12% were dissatisfied regarding class curriculum. Student's feedback on knowledge gained through online methods was that, 59% students felt to be useful; however, 41% felt to be not enough. When finally, the student's responses on the comparison of online teaching learning method versus traditional teaching learning methods were obtained, it was observed that majority 75% felt that traditional teaching learning methods are better; whereas 17% felt online classes may be better and 8% felt online methods are excellent.  Online teaching is beneficial, but students prefer traditional teaching learning method over it. However, in view of the current situation, students by and large have accepted the online teaching learning method with a greater goal of gaining knowledge.
VIDEO ANALYSIS OF SKILL AND TECHNIQUE (VAST) MACHINE LEARNING TO ASSESS SURGEONS PERFORMING ROBOTIC PROSTATECTOMY: PD46 04
Year: 2017

A surgeon's technical skill may be a major determinant of patient outcomes. Because robotic surgery can be recorded, computer vision video analysis of skill and technique (VAST) methods may have advantages for assessment that is objective and scalable. To test the hypothesis that specific features in a video can categorize skill, we studied crowdsourced annotated videos of surgeons performing robotic prostatectomy and applied machine learning to determine skill.  Videos of the anastomosis from 12 surgeons in the Michigan Urological Surgery Improvement Collaborative underwent blinded review by 25 peer surgeons using the Global Evaluative Assessment of Robotic Skills (GEARS) tool (max score 25) Surgeons were categorized into low and high skill based on 0bimanual dexterity0 and 0efficiency0. Robotic instruments were annotated by crowdworkers via a custom designed Mechanical Turk platform. Using the videos we trained a linear support vector machine (SVM) sampling consecutive frames to study VAST metrics for instruments including velocity, trajectory, smoothness of movement, and relationship to contralateral instrument. We applied the SVM to learn and classify videos into high/low skill. To evaluate performance we used 11 videos as training, and tested on the remaining 1 video, repeating it 12 times and averaged the accuracy.  GEARS scores ranged from 15.75 to 23.11, with 9 and 3 surgeons categorized into high and low skill, respectively. In total, 146,309 video frames were annotated by 925 crowdworkers. Instrument annotation included individual points as well as wristed joint movement (Figure) SVM accuracy in skill categorization using individual points on an instrument was 83.3% Accuracy improved to 91.7% when we assessed joint movement. When we combined assessment with the contralateral instrument, accuracy was 100% in categorizing binary skill level. Instrument metrics most closely related to skill prediction were relationship between needle driver forceps and joint, acceleration, and velocity.  Computer video analysis can be used to predict skill in practicing robotic surgeons. In the future, methods utilizing deep learning to track instruments and calculate skill, may have significant implications for credentialing and quality improvement.
Procrastination is linked with insomnia symptoms: The moderating role of morningness eveningness
Year: 2016

Procrastination may negatively impact professional advancement and general well being, yet to our knowledge, the relationship with sleep quality has not been investigated. Poor sleep impacts physical and emotional health, underscoring the importance of addressing this potential outcome. It was hypothesized that procrastination will be associated with subjective sleep difficulties, an association mediated by ruminative cognitions. 598 respondents (154 men: Mage 25.6 3.8; 444 women Mage 24.8 3.3) completed online questionnaires regarding procrastination, sleep disturbances, rumination, emotional state, and chronotype. A structural equation model approach was used for model testing. Results demonstrated that procrastination positively correlated with sleep disturbance, a link moderated by chronotype, such that self identified Morning Types reported lower procrastination, fewer sleep disturbances, and the two measures did not correlate. Among Intermediate and Evening Types the relationship between procrastination and sleep was mediated by rumination and negative mood. These findings suggest that addressing the impact on sleep should be one of the targets of interventions for treating procrastination.
Texture Networks: Feed forward Synthesis of Textures and Stylized Images
Venue: ICML
Year: 2016

Gatys et al. recently demonstrated that deep networks can generate beautiful textures and stylized images from a single texture example. However, their methods require a slow and memory consuming optimization process. We propose here an alternative approach that moves the computational burden to a learning stage. Given a single example of a texture, our approach trains compact feed forward convolutional networks to generate multiple samples of the same texture of arbitrary size and to transfer artistic style from a given image to any other image. The resulting networks are remarkably light weight and can generate textures of quality comparable to Gatys et al. but hundreds of times faster. More generally, our approach highlights the power and flexibility of generative feed forward models trained with complex and expressive loss functions.