nils-herrmann/clean_scirepeval huggingface dataset:
Carcinogenicity of consumption of red and processed meat.
Venue: The Lancet. Oncology
Year: 2015

In October, 2015, 22 scientists from ten countries met at the International Agency for Research on Cancer (IARC) in Lyon, France, to evaluate the carcinogenicity of the consumption of red meat and processed meat. These assessments will be published in volume 114 of the IARC Monographs.
COSUM: Text summarization based on clustering and optimization
Venue: Expert Syst. J. Knowl. Eng.
Year: 2019

Department of Information Society, Institute of Information Technology, Azerbaijan National Academy of Sciences, Baku, Azerbaijan Department of Computer Science, RWTH Aachen University, Aachen, Germany UTM Big Data Centre, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia Correspondence Ramiz M. Aliguliyev, Institute of Information Technology, Azerbaijan National Academy of Sciences, 9A, B. Vahabzade Street, AZ1141 Baku, Azerbaijan.
Virtual Machine Consolidation with Multiple Usage Prediction for Energy Efficient Cloud Data Centers
Venue: IEEE Transactions on Services Computing
Year: 2020

Virtual machine consolidation aims at reducing the number of active physical servers in a data center so as to decrease the total power consumption. In this context, most of the existing solutions rely on aggressive virtual machine migration, thus resulting in unnecessary overhead and energy wastage. Besides, virtual machine consolidation should take into account multiple resource types at the same time, since CPU is not the only critical resource in cloud data centers. In fact, also memory and network bandwidth can become a bottleneck, possibly causing violations in the service level agreement. This article presents a virtual machine consolidation algorithm with multiple usage prediction (VMCUP M) to improve the energy efficiency of cloud data centers. In this context, multiple usage refers to both resource types and the horizon employed to predict future utilization. Our algorithm is executed during the virtual machine consolidation process to estimate the long term utilization of multiple resource types based on the local history of the considered servers. The joint use of current and predicted resource utilization allows for a reliable characterization of overloaded and underloaded servers, thereby reducing both the load and the power consumption after consolidation. We evaluate our solution through simulations on both synthetic and real world workloads. The obtained results show that consolidation with multiple usage prediction reduces the number of migrations and the power consumption of the servers while complying with the service level agreement.
A VEHICLE LICENSE PLATE DETECTION METHOD FOR INTELLIGENT TRANSPORTATION SYSTEM APPLICATIONS
Venue: Cybern. Syst.
Year: 2009

Detecting license plates is crucial and inevitable in the vehicle license plate recognition system. In this article, a Hue Saturation Intensity (HSI) color model is adopted to select automatically statistical threshold value for detecting candidate regions. The focus of this article is on the implementation of a new method to detect candidate regions when vehicle bodies and license plates (LP) have similar color. The proposed method is able to deal with candidate regions under independent orientation and scale of the plate. For the decomposing candidate regions, predetermined LP alphanumeric characters are used by position histogram to verify and detect vehicle LP regions. Various LP images were used with a variety of conditions to test the proposed method and results proved its effectiveness.
Formation of the causal pattern of the return of addiction based on the components of perceived child rearing practices, coping styles and hidden propensities in the recovered without return and reborn
Year: 2019

Drug dependence is one of the most important public health problems in societies. The purpose of the research was to develop a model for the return of addiction based on the components of perceived parenting practices, coping styles and hidden propensities in recovered without return and recovered returns. M aterials and  The statistical population of this study consisted of all recovered clinics and drug addiction treatment centers in Gilan province (North of Iran) in the 2016 17. After passing the treatment period from the discharge center and obtaining a treatment period certificate, the health card they received at least one year of recovery when they performed this research. The sample group, which consisted of 300 patients aged 18 to 35 years with substance abuse history, were selected through available sampling method in two groups. In this research, in addition to obtaining personal information and obtaining a return status report, 5 tools were used as follows: perceived parenting skills questionnaire, coping skills scale, Adlerian basic scale for interpersonal success of adult version, opinion questionnaire Tempting, and perceived stress questionnaires. Data analyzed with LISREL software. R es ults: The path and probabilistic relationships between the phenomena were studied. Based on matrix analysis, variance, covariance and correlation matrix, we investigated the possible relationships between the phenomena studied paid. The path analysis was used to determine the model. There was a positive and significant relationship between perceived parenting style, lifestyle, coping styles, tempting beliefs and general stress with returning to addiction.  To return of addiction we proposed use of perceived parenting style, lifestyle, coping styles, tempting beliefs and general stress.
A microRNA expression signature of human solid tumors defines cancer gene targets
Venue: Proceedings of the National Academy of Sciences of the United States of America
Year: 2006

Small noncoding microRNAs (miRNAs) can contribute to cancer development and progression and are differentially expressed in normal tissues and cancers. From a large scale miRnome analysis on 540 samples including lung, breast, stomach, prostate, colon, and pancreatic tumors, we identified a solid cancer miRNA signature composed by a large portion of overexpressed miRNAs. Among these miRNAs are some with well characterized cancer association, such as miR 17 5p, miR 20a, miR 21, miR 92, miR 106a, and miR 155. The predicted targets for the differentially expressed miRNAs are significantly enriched for protein coding tumor suppressors and oncogenes (P 0.0001) A number of the predicted targets, including the tumor suppressors RB1 (Retinoblastoma 1) and TGFBR2 (transforming growth factor, beta receptor II) genes were confirmed experimentally. Our results indicate that miRNAs are extensively involved in cancer pathogenesis of solid tumors and support their function as either dominant or recessive cancer genes.
Marine microplastic debris: An emerging issue for food security, food safety and human health.
Venue: Marine pollution bulletin
Year: 2018

Recent studies have demonstrated the negative impacts of microplastics on wildlife. Therefore, the presence of microplastics in marine species for human consumption and the high intake of seafood (fish and shellfish) in some countries cause concern about the potential effects of microplastics on human health. In this brief review, the evidence of seafood contamination by microplastics is reviewed, and the potential consequences of the presence of microplastics in the marine environment for human food security, food safety and health are discussed. Furthermore, challenges and gaps in knowledge are identified. The knowledge on the adverse effects on human health due to the consumption of marine organisms containing microplastics is very limited, difficult to assess and still controversial. Thus, assessment of the risk posed to humans is challenging. Research is urgently needed, especially regarding the potential exposure and associated health risk to micro and nano sized plastics.
Bimodal Interaction: The Role of Visual Information in Performing Acoustic Assessment in Architecture
Year: 2015

In the framework of the design process of a multimodal 3D simulation environment to support architects' acoustic tasks, we wanted to gain a better understanding of how architects are able to discriminate the sounds using audio and/or visual inputs. This study explores how 2D pictures of rooms do support or impede the auditory evaluation of a space (specifically reverberation) The paper describes an experiment evaluating participants rankings of perceived acoustic reverberation when presented with congruent (coherent) or non congruent (conflicting) evocative pictures of architectural spaces. We found that the congruent pictures had a positive impact on task performance while the non congruent pictures had no significant effect. Moreover the effect of the expertise (professional background) of participants was investigated. We found differences between architects and non architects in the way they performed the task, and they processed reverberation assessments. Taken together, the findings of this study contribute to the question of usefulness of expensive multimodal 3D simulation environment.
Methodological Strategies for Ecological Momentary Assessment to Evaluate Mood and Stress in Adult Patients Using Mobile Phones: Systematic Review
Venue: JMIR mHealth and uHealth
Year: 2019

Ecological momentary assessment (EMA) has utility for measuring psychological properties in daily life. EMA has also allowed researchers to collect data on diverse experiences and symptoms from various subjects.  The aim of this study was to review methodological strategies and useful related information for EMA using mobile phones to capture changes of mood and stress in adult patients seeking health care.  We searched PubMed, Cumulative Index to Nursing and Allied Health Literature (CINAHL) Embase, the Cochrane Library, PsycINFO, and Web of Science. This review included studies published in peer reviewed journals in English between January 2008 and November 2017 that used basic or advanced feature mobile phones to measure momentary mood or stress in adult patients seeking health care in outpatient departments. We excluded studies of smoking and substance addictions and studies of mental disorder patients who had been diagnosed by physicians.  We reviewed 12 selected articles that used EMA via mobile phones to measure momentary mood and stress and other related variables from various patients with chronic fatigue syndrome, breast cancer, migraine, HIV, tinnitus, temporomandibular disorder, end stage kidney disease, and traumatic brain injury. Most of the selected studies (11/12, 92% used signal contingency and in 8 of the 12 studies (67% alarms were sent at random or semirandom intervals to prompt the momentary measurement. Out of 12 studies, 7 (58% used specific apps directly installed on mobile phones, 3 (25% used mobile phones to link to Web based survey programs, and 2 (17% used an interactive voice response system.  This study provides researchers with useful information regarding methodological details for utilizing EMA to measure mood and stress in adult patients. This review shows that EMA methods could be effective and reasonable for measuring momentary mood and stress, given that basic and advanced feature mobile phones are ubiquitous, familiar, and easy to approach. Therefore, researchers could adopt and utilize EMA methods using mobile phones to measure psychological health outcomes, such as mood and stress, in adult patients.
How smartphone advertising influences consumers' purchase intention
Year: 2018

In the last decade, the use of smartphones has grown steadily. The way consumers interact with brands has changed owing to the accessibility of internet connection on smartphones, and ubiquitous mobility. It is crucial to understand the factors that motivate consumers to interact with smartphone advertisements and therefore what stimulates their decision to purchase. To achieve this goal, we proposed a conceptual model that combines Ducoffe's web advertising model and flow experience theory. Based on the data collected from 303 Portuguese respondents we empirically tested the conceptual model using a partial least squares (PLS) estimation. The results showed that advertising value, flow experience, web design quality, and brand awareness explain purchase intention. The study provides results that allow marketers and advertisers to understand how smartphone advertisements contribute to consumer purchase intention.
ASME Open Source Project: Prototype Re Design and Conclusion of a Human Powered Water Purification Device
Year: 2009

The Western Kentucky University Mechanical Engineering program partnered with ASME to host an Open Source student design project to develop a prototype water purification device in 2008. The project was funded by an ASME grant and is part of a continuing initiative by ASME to extend the relevance of their annual Student Design Competitions (SDC) and link student projects to societal concerns. The Open Source Project extended the 2007 SDC which required students to design and construct human powered devices to purify water. The design challenge was inspired by Hurricane Katrina like temporary disasters, but also addresses one of the National Academy of Engineering's Grand Challenges for Engineering: provide access to clean water. Affordable and practical solutions are needed to provide drinkable water to people who do not have the equipment, power or other resources necessary to assure safe water supplies. During the spring and early summer of 2008, five students from various SDC teams qualifying for the 2007 SDC finals used their competition experience to develop a new design for a human powered water purification system. Team members were distributed at universities from Sweden to Venezuela to New Mexico, and therefore interacted via internet and teleconferences to refine the design. Ongoing work was posted to the ASME website, allowing people external to the team a chance to critique or contribute to the design. The team met at WKU in May to construct and test a prototype of the design. The initial prototype was able to purify water at 10 times the rate of any SDC devices, using a combination of passive sand filtration, solar heat collection and mechanical friction heating. While this was a marked improvement, the reality is that the human effort to purify this water is still excessive. The second generation prototype was completed by faculty, staff and students at WKU during the 2009 summer with the information learned and experiences gained from the initial prototype of the distributed team. This paper will discuss the evolution of the project design from the SDC to through the second prototype and the impact of the open source approach to the design process. The project represents ASME's first attempt at executing an "Open Source" project, providing a forum for mechanical engineers around the world to contribute to solutions of critical social, economic and environmental problems. If the final design proves technically feasible, the Open Source team will seek support from the ASME Center for Engineering Entrepreneurship and Innovation to commercialize the design.
Measurement of the high energy gamma ray emission from the Moon with the Fermi Large Area Telescope
Venue: Physical review. D.
Year: 2016

We have measured the gamma ray emission spectrum of the Moon using the data collected by the Large Area Telescope onboard the Fermi satellite during its first seven years of operation, in the energy range from 30 MeV up to a few GeV. We have also studied the time evolution of the flux, finding a correlation with the solar activity. We have developed a full Monte Carlo simulation describing the interactions of cosmic rays with the lunar surface. The results of the present analysis can be explained in the framework of this model, where the production of gamma rays is due to the interactions of cosmic ray proton and helium nuclei with the surface of the Moon. Finally, we have used our simulation to derive the cosmic ray proton and helium spectra near Earth from the Moon gamma ray data.
Gesture recognition using a bioinspired learning architecture that integrates visual data with somatosensory data from stretchable sensors
Year: 2020

Gesture recognition using machine learning methods is valuable in the development of advanced cybernetics, robotics and healthcare systems, and typically relies on images or videos. To improve recognition accuracy, such visual data can be combined with data from other sensors, but this approach, which is termed data fusion, is limited by the quality of the sensor data and the incompatibility of the datasets. Here, we report a bioinspired data fusion architecture that can perform human gesture recognition by integrating visual data with somatosensory data from skin like stretchable strain sensors made from single walled carbon nanotubes. The learning architecture uses a convolutional neural network for visual processing and then implements a sparse neural network for sensor data fusion and recognition at the feature level. Our approach can achieve a recognition accuracy of 100% and maintain recognition accuracy in non ideal conditions where images are noisy and under or over exposed. We also show that our architecture can be used for robot navigation via hand gestures, with an error of 1.7% under normal illumination and 3.3% in the dark. A bioinspired machine learning architecture can combine visual data with data from stretchable strain sensors to achieve human gesture recognition with high accuracy in complex environments.
HMOG: New Behavioral Biometric Features for Continuous Authentication of Smartphone Users
Venue: IEEE Transactions on Information Forensics and Security
Year: 2016

We introduce hand movement, orientation, and grasp (HMOG) a set of behavioral features to continuously authenticate smartphone users. HMOG features unobtrusively capture subtle micro movement and orientation dynamics resulting from how a user grasps, holds, and taps on the smartphone. We evaluated authentication and biometric key generation (BKG) performance of HMOG features on data collected from 100 subjects typing on a virtual keyboard. Data were collected under two conditions: 1) sitting and 2) walking. We achieved authentication equal error rates (EERs) as low as 7.16% (walking) and 10.05% (sitting) when we combined HMOG, tap, and keystroke features. We performed experiments to investigate why HMOG features perform well during walking. Our results suggest that this is due to the ability of HMOG features to capture distinctive body movements caused by walking, in addition to the hand movement dynamics from taps. With BKG, we achieved the EERs of 15.1% using HMOG combined with taps. In comparison, BKG using tap, key hold, and swipe features had EERs between 25.7% and 34.2% We also analyzed the energy consumption of HMOG feature extraction and computation. Our analysis shows that HMOG features extracted at a 16 Hz sensor sampling rate incurred a minor overhead of 7.9% without sacrificing authentication accuracy. Two points distinguish our work from current literature: 1) we present the results of a comprehensive evaluation of three types of features (HMOG, keystroke, and tap) and their combinations under the same experimental conditions and 2) we analyze the features from three perspectives (authentication, BKG, and energy consumption on smartphones)
Proceedings of the 13th International Conference on the Foundations of Digital Games
Year: 2017

It is our great pleasure to welcome you to the 2017 International Conference on the Foundations of Digital Games (FDG'17) Now in its 12th edition, FDG seeks to promote the exchange of information on the foundations of digital games, technology used to develop digital games, and the study of digital games and their design. The goal of the conference is the advancement of the study of digital games, including but not limited to new game technologies, critical analysis, innovative designs, theories on play, empirical studies, and data analysis. This year's conference focuses on Celebrating the Player. Digital game research has made significant advances in the past decade, from attempting to define what games are to developing techniques to create content automatically. This year we want to challenge and expand research that improves theories and methodologies around the interaction between players and games, how games are designed with the player in mind, how games are perceived by players, how novel technologies enhance the player experience, and how games affect players on a cognitive, behavioral and affective level.
La mediation informationnelle au travers de plateformes de reseaux sociaux l'application de Facebook lors de l'apprentissage du francais langue etrangere en Thailande
Year: 2018

Le propos contenu dans cette recherche concerne les plateformes interactives et reticulaires peuplant desormais notre quotidien, et qui se presentent d'abord a nous sous la forme d'objets techniques, mais dont les usages construisent des representations sociales. Des mediations informationnelles s'y developpent que nous avons voulu etudier en capturant celle du francais dans le contexte de ses apprenants thailandais a l'Universite, pour une langue reputee difficile, non apparentee et distante. Une double analyse quantitative et qualitative menee en partie avec le logiciel NVivo nous a permis de mettre a jour le fait que, sous certains aspects et dans certains environnements, un reseau socio numerique comme Facebook pouvait faciliter un apprentissage informel participant a une economie de la connaissance. Nous avons identifie des usages et des pratiques specifiques qui ne sont pas ceux d'une plateforme d'enseignement a distance concue comme telle. Ainsi, une certaine creativite s'y exercerait dans la construction de documents scripto audio visuels sur des dispositifs techniques mediateurs et multiplateformes ou l'autonomie de l'usager y serait culturellement et socialement situee par les identites, appartenances, perceptions, habitus et autres dispositions qui structurent sa relation au monde et vont conditionner son envie, sa maniere ainsi que sa capacite pratique a s'approprier des elements d'apprentissage de la langue.
A measurement verification for EMI source reconstruction method based on amplitude only near field scanning
Year: 2018

A modified differential evolution (DE) method is used to reconstruct the equivalent source model of the device under test (DUT) based on amplitude only near field scanning in this paper. The equivalent source is a set of infinitesimal magnetic dipoles, which can be used to replace the DUT for electromagnetic interference (EMI) analysis. Then, a test PCB is fabricated to verify this source reconstruction method. The results obtained by the equivalent dipole model have a good agreement with the measured ones.