nils-herrmann/clean_scirepeval huggingface dataset:
A dynamic attribute based risk aware access control model (DA RAAC) for cloud computing
Venue: 2016 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC)

Cloud computing is a distributed computing paradigm and provides services to the customers through the internet. Cloud computing virtualizes system by pooling and sharing resources. Customers store their data on the cloud using resources and they provide the access of data to the users. Cloud computing has to ensure the security of the data stored in the cloud. Access to the data stored in the cloud is provided through access controls defined by data owner while storing the data in the cloud. Access control models using access controls specified by the data owner will monitor access to the data on the cloud. Earlier various traditional access control models are proposed and they are not sufficient for the cloud environment. Cloud environment supports remote access for computation, storage etc. Cloud computing demands attribute based encryption access control models. Various access control models are proposed using attribute encryption namely KP ABE, CP ABE, HASBE. These access control models are static in nature. In this paper, we propose a dynamic attribute based risk aware access control model which can be hybridized with the above access control models. Our model combines risk computation with attributes used for access control. This paper describes the need and motivation for the design and development of the DA RAAC model by enhancing NIST RBAC model. We formally prove our model is highly dynamic when compared to the existing attribute based access control models through experiment results.
Design Hybrid Models for Opinion Mining on Vietnamese Social Media Text Data

The rapid development of information communications technology, especially Internet and smartphones, helps customers be more flexible and easier to access social networking sites and use them as effective communication tools. A huge number of informal messages are posted every day in social networking sites including comments, opinions and feedbacks about products, services or companies. These text data are not only in English but also in several other languages as the social networking sites develop across countries. It has become difficult and time consuming for individuals or organizations to effectively process the information underlined in these text data. Thanks to the development of opinion mining techniques, social media text data can be mined to explore customer opinions about products, services as well as information about competitors. This paper proposed models for opinion mining on Vietnamese social media text data. We collected social media text data from Facebook in Vietnam and designed a non standard Vietnamese words dictionary to process informal Vietnamese text messages. We compared predictive performance of several opinion mining models in lexicon based and machine learning approach and then proposed a hybrid model that combines the two approaches. The results show that using non standard Vietnamese words dictionary improves predictive performance of opinion mining models, and hybrid models of lexicon based and machine learning approach have better performance than single models. Based on this research outcomes, we provided recommendations in designing opinion mining models on non English social media text data.
Sampling Generative Networks

We introduce several techniques for sampling and visualizing the latent spaces of generative models. Replacing linear interpolation with spherical linear interpolation prevents diverging from a model's prior distribution and produces sharper samples. J Diagrams and MINE grids are introduced as visualizations of manifolds created by analogies and nearest neighbors. We demonstrate two new techniques for deriving attribute vectors: bias corrected vectors with data replication and synthetic vectors with data augmentation. Binary classification using attribute vectors is presented as a technique supporting quantitative analysis of the latent space. Most techniques are intended to be independent of model type and examples are shown on both Variational Autoencoders and Generative Adversarial Networks.
Sampling Generative Networks: Notes on a Few Effective Techniques
Venue: ArXiv

We introduce several techniques for effectively sampling and visualizing the latent spaces of generative models. Replacing linear interpolation with spherical linear interpolation (slerp) prevents diverging from a model's prior distribution and produces sharper samples. J Diagrams and MINE grids are introduced as visualizations of manifolds created by analogies and nearest neighbors. We demonstrate two new techniques for deriving attribute vectors: bias corrected vectors with data replication and synthetic vectors with data augmentation. Most techniques are intended to be independent of model type and examples are shown on both Variational Autoencoders and Generative Adversarial Networks.  Generative; VAE; GAN; Sampling; Manifold
Predicting User Intent Through Eye Gaze for Shared Autonomy
Venue: AAAI Fall Symposia

Shared autonomy combines user control of a robot with intelligent autonomous robot behavior to help people perform tasks more quickly and with less effort. Current shared autonomy frameworks primarily take direct user input, for example through a joystick, that directly controls the robot's actions. However, indirect input, such as eye gaze, can be a useful source of information for revealing user intentions and future actions. For example, when people perform manipulation tasks, their gaze centers on the objects of interest before the corresponding movements even begin. This implicit information contained in eye gaze can be used to improve the goal prediction of a shared autonomy system, improving its overall assistive capability. In this paper, we describe how eye gaze behavior can be incorporated into shared autonomy. Building on previous work that represents user goals as latent states in a POMDP, we describe how gaze behavior can be used as observations to update the POMDP's probability distributions over goal states, solving for the optimal action using hindsight optimization. We detail a pilot implementation that uses a head mounted eye tracker to collect eye gaze data.
DADA2: High resolution sample inference from Illumina amplicon data
Venue: Nature Methods

We present the open source software package DADA2 for modeling and correcting Illumina sequenced amplicon errors (https:/github.com/benjjneb/dada2) DADA2 infers sample sequences exactly and resolves differences of as little as 1 nucleotide. In several mock communities, DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.
Readiness for practice change: Evaluation of a tool for the Australian midwifery context.
Venue: Women and birth journal of the Australian College of Midwives

Midwifery is a research informed profession with a mandated requirement to utilise latest best evidence. It is now recognised, however, that the introduction of new evidence into practice is complicated and uncertain. Growing awareness of this fact has led to the establishment of a new discipline, Implementation Science (IS) which is focused on developing ways to expedite the timely movement of evidence into practice. To date though, the wider midwifery profession has yet to make use of IS change facilitation tools and methods.  The aim of this study was to determine the fitness for use in midwifery of one established IS tool: the UK NHS Spread Adoption tool, which is designed to enable clinicians to assess their organisational context for change readiness.  A qualitative descriptive methodology was used for this study, which was set in two Australian states. Focus groups were used to collect data. The sample comprised ten Australian change leader midwifery teams who had led evidence based practice change initiatives in the previous 12 months.  Three themes emerged from the data which together convey that although poor internet access was problematic for some, and some of the language was found to be inappropriate, the tool was ultimately viewed as very useful for helping the implementation of practice change in midwifery settings.  This study provides valuable information about the broad suitability of the tested tool for Australian midwifery settings. Further research is required to evaluate a revised version.
Adolescents and Pornography: A Review of 20 Years of Research
Venue: Journal of sex research

The goal of this review was to systematize empirical research that was published in peer reviewed English language journals between 1995 and 2015 on the prevalence, predictors, and implications of adolescents' use of pornography. This research showed that adolescents use pornography, but prevalence rates varied greatly. Adolescents who used pornography more frequently were male, at a more advanced pubertal stage, sensation seekers, and had weak or troubled family relations. Pornography use was associated with more permissive sexual attitudes and tended to be linked with stronger gender stereotypical sexual beliefs. It also seemed to be related to the occurrence of sexual intercourse, greater experience with casual sex behavior, and more sexual aggression, both in terms of perpetration and victimization. The findings of this review need to be seen against the background of various methodological and theoretical shortcomings, as well as several biases in the literature, which currently precludes internally valid causal conclusions about effects of pornography on adolescents.
Evaluation of different plant powders as seed protectants against rice moth, Corcyra cephalonica Stainton

The present study was aimed to develop the eco friendly and economic approaches to keep the stored food grains free from insect attack would be using the plant products as grain protectants. In the context of biological control as an alternative to chemical control, under laboratory conditions, different plant powders viz. dharakkernel and leaf (Melia azadirach L. neem kernel and leaf (Azadirachta indica Adr. Juss) karanj kernel (Pongamia glabra) aak leaf (Calotropis procera Br. datura leaf (Datura alba Nees. citrus leaf (Citrus lemon L. podina leaf (Mentha arvensis) and tulsi leaf (Ocimum sanctum L. were compared, at three rate of application (1.0, 2.5 and 5.0 g per 100 g seeds) as protectants against infestation of sorghum (Sorghum bicolor (L. Moench) seeds by the storage pest Corcyra cephalonica Stainton. The larval period of test insect got progressively increased with the increase in dose level of different plant powders. The maximum (77.83% and minimum (37.83% reduction in adult emergence was observed in dharak kernel powder and tulsi leaf powder, respectively. The test insect developed on seeds treated with dharak kernel powder laid significantly (PEf 0.5) minimum number of eggs (80.33 eggs/ female) followed by neem kernel powder (85.66 eggs/female) The dharak and neem kernel powders were found most effective in reducing the longevity of male (3.96 and 5.13 days) and female adults (4.63 and 4.97 days) respectively. The results suggest that these materials tested have the potential in the development of post harvest protection technology against, C. cephalonica, the major pest of stored grains.
Experiences of therapists who integrate walk and talk into their professional practice

There has been increasing interest in recent years in the possibilities arising from conducting psychotherapy in outdoor settings, for example through the use of 'walk and talk' sessions.  This study aimed to explore the experiences of practitioners who use this approach, in terms of helpful and hindering factors.  Eighteen walk and talk practitioners completed an online mixed methods questionnaire.  Participants perceived that walking and talking can help shift 'stuckness' in clients and facilitate psychological processing. In addition, practitioners indicated that walking side by side can promote a collaborative way of working. Hindering factors included working with uncertainty, issues around maintaining boundaries and the requirement to develop new skills.  The sample size and use of an online survey limited the amount and richness of information obtained.  The results suggest that walk and talk is an emergent psychotherapeutic approach, characterised by a substantial degree of consensus across practitioners regarding the rationale for this type of intervention, and the facilitative processes that are supported by it. It would be valuable to develop research informed guidelines and training opportunities to support safe practice in this area of work.
Doctors Who Integrate Spirituality and CAM in the Clinic: The Puerto Rican Case
Venue: Journal of Religion and Health

This article describes Puerto Rican physicians' personal and clinical utilization of complementary and alternative medicines (CAM) its effects, and use as they identified as either Spiritist, spiritual or religious. Semi structured interviews were conducted with 74 doctors in Puerto Rico. Major themes and relationships among them were charted using the qualitative data analysis program MAXQDA, open coding and grounded theory. Thirty one doctors spoke of CAM and its use as related to their spiritual or religious perspectives. Spiritual or Spiritist doctors were more inclined than religious doctors to utilize CAM. Seeking closer relationships with patients was related to a spiritually oriented goal of healing (as distinct from curing) as a reason to recommend CAM.
Complexation and coacervation of like charged polyelectrolytes inspired by mussels
Venue: Proceedings of the National Academy of Sciences

Conventional coacervates can form on mixing oppositely charged polyelectrolytes in aqueous solutions, due to electrostatic attraction between the oppositely charged polymers. This report describes the first instance (to the best of our knowledge) of complexation and coacervation of two positively charged polyelectrolytes by overcoming longer range electrostatic repulsion. The molecular force measurements and theoretical simulations demonstrate that the complexation of the like charged coacervate is most likely driven by strong cation p interactions inspired by marine mussel adhesives. This like charged coacervation mechanism provides new insights into biological self assembly processes and a new paradigm for engineering strong, reversible interactions between polymers underwater, which has various potential applications like encapsulation and dispersion of particles and cells. It is well known that polyelectrolyte complexes and coacervates can form on mixing oppositely charged polyelectrolytes in aqueous solutions, due to mainly electrostatic attraction between the oppositely charged polymers. Here, we report the first (to the best of our knowledge) complexation and coacervation of two positively charged polyelectrolytes, which provides a new paradigm for engineering strong, self healing interactions between polyelectrolytes underwater and a new marine mussel inspired underwater adhesion mechanism. Unlike the conventional complex coacervate, the like charged coacervate is aggregated by strong short range cation p interactions by overcoming repulsive electrostatic interactions. The resultant phase of the like charged coacervate comprises a thin and fragile polyelectrolyte framework and round and regular pores, implying a strong electrostatic correlation among the polyelectrolyte frameworks. The like charged coacervate possesses a very low interfacial tension, which enables this highly positively charged coacervate to be applied to capture, carry, or encapsulate anionic biomolecules and particles with a broad range of applications.
Transformation of Tetracycline Antibiotics and Fe(II) and Fe(III) Species Induced by Their Complexation.
Venue: Environmental science technology

Tetracycline antibiotics (TCs) are frequently detected micropollutants and are known to have a strong tendency to complex with metal ions such as Fe(II) and Fe(III) in aquatic environments. Experiments with Fe(II) and TCs showed that the complexation of Fe(II) with tetracycline (TTC) oxytetracycline (OTC) or chlorotetracycline (CTC) could lead to the accelerated oxidation of Fe(II) and the promoted degradation of TCs simultaneously. The reaction started with complexation of Fe(II) with TC followed by oxidation of the Fe(II) TC complex by dissolved oxygen to generate a Fe(III) TC complex and reactive oxygen species (ROS) The ROS (primarily *OH) then degraded TC. The oxidation rate constants of Fe(II) in the Fe(II) H2L and Fe(II) HL complexes were 0.269 and 1.511 min( 1) respectively, at ambient conditions (pH 7, 22 degC, and PO2 of 0.21 atm) which were about 60 and 350 times of the oxidation rate of uncomplexed Fe(II) Humic acids (HA) compete with TCs for Fe(II) but the effect was negligible at moderate HA concentrations =10 mg*L( 1) Experiments with Fe(III) and TCs showed that the complexation of Fe(III) with TC could generate oxidized TC and Fe(II) without the need of oxygen at a relatively slower rate compared to the reaction involving Fe(II) O2, and TCs. These findings indicate the mutually influenced environmental transformation of TCs and Fe(II) and Fe(III) induced by their complexation. These newly identified reactions could play an important role in affecting the environmental fate of TCs and cycling of Fe(II) and Fe(III) in TCs contaminated water and soil systems.
Cyclodextrins in pharmaceutical formulations II: solubilization, binding constant, and complexation efficiency.
Venue: Drug discovery today

Cyclodextrins are cyclic oligosaccharides that have been recognized as pharmaceutical adjuvants for the past 20 years. The molecular structure of these glucose derivatives, which approximates a truncated cone, bucket, or torus, generates a hydrophilic exterior surface and a nonpolar interior cavity. Cyclodextrins can interact with appropriately sized drug molecules to yield an inclusion complex. These noncovalent inclusion complexes offer a variety of advantages over noncomplexed forms of a drug. Cyclodextrins are carbohydrates that are primarily used to enhance the aqueous solubility, physical chemical stability, and bioavailability of drugs. Their other applications include preventing drug drug interactions, converting liquid drugs into microcrystalline powders, minimizing gastrointestinal and ocular irritation, and reducing or eliminating unpleasant taste and smell. Here, we focus on the solubilization of drugs by complexation, and discuss the determination and significance of binding constants for cyclodextrin complexes, and the determination of complexation efficiency and factors that influence it. We also make some general observations on cyclodextrin complexation and the use of cyclodextrins in solid, as well as parenteral, dosage forms.
Chemical Dealloying Derived 3D Porous Current Collector for Li Metal Anodes.
Venue: Advanced materials

A 3D porous Cu current collector is fabricated through chemical dealloying from a commerial Cu Zn alloy tape. The interlinked porous framework naturally integrated can accommodate Li deposition, suppressing dendrite growth and alleviating the huge volume change during cycling. The Li metal anode combined with such a porous Cu collector demonstrates excellent performance and commerial potentials in Li based secondary batteries.
A model based approach to assist variety evaluation in sunflower crop

Assessing the performance and the characteristics (e.g. yield, quality, disease resistance, abiotic stress tolerance) of new varieties is a key component of crop performance improvement. However, the variety testing process is presently exclusively based on experimental field approaches which inherently reduces the number and the diversity of experienced combinations of varieties x environmental conditions in regard of the multiplicity of growing conditions within the cultivation area. Our aim is to make a greater and faster use of the information issuing from these trials using crop modeling and simulation to amplify the environmental and agronomic conditions in which the new varieties are tested. In this study, we present a model based approach to assist variety testing and implement this approach on sunflower crop, using the SUNFLO simulation model and a subset of 80 trials from a large multi environment trial (MET) conducted each year by agricultural extension services to compare newly released sunflower hybrids. After estimating parameter values (using plant phenotyping) to account for new genetic material, we independently evaluated the model prediction capacity on the MET (relative RMSE for oil yield was 16.4% model accuracy was 54.4% and its capacity to rank commercial hybrids for performance level (relative RMSE was 11% Kendall's t 0.41, P
A State of Art Survey on Shilling Attack in Collaborative Filtering Based Recommendation System

Recommendation system is a special type of information filtering system that attempts to present information/objects that are likely to the interest of user. Any organization, provides correct recommendation is necessary for maintain the trust of their customers. Collaborative filtering based algorithms are most widely used algorithms for recommendation system. However, recommender systems supported collaborative filtering are known to be extremely prone to attacks. Attackers will insert biased profile information or fake profile to have a big impact on the recommendations made. This paper provide survey on effect of shilling attack in recommendation systems, types of attack, knowledge required and existing shilling attack detection methods.
Survey on Content Based Recommendation System

Today, as the Web is rapidly growing at a faster rate, finding relevant information is becoming extremely difficult. Information or content can be in any form such as music, video, images or text which is of interest to the users. Therefore Recommendation systems come into picture. Recommendation systems are a sub category of information filtering system that help people find products, correct information and even other people as well. This paper represents Content Based Recommendation Techniques that will help personalize the search and provide only relevant information to the user based on previous ratings and predictions along with a comparative study. Keywords recommendation techniques, data sparsity, cold start problem.