nils-herrmann/clean_scirepeval huggingface dataset:
Architecture for the Cyber Security Situational Awareness System
Venue: NEW2AN

Networked software systems have a remarkable and critical role in the modern society. There are critical software systems in every business area. At the same time, the amount of cyber attacks against those critical networked software systems has increased in large measures. Because of that, the cyber security situational awareness of the own assets plays an important role in the business continuity. It should be known what is the current status of the cyber security infrastructure and own assets and what it will be in the near future. For achieving such cyber security situational awareness there is need for the Cyber Security Situational Awareness System. This study presents the novel architecture of the Cyber Security Situational Awareness System. The study also presents the use case of threat mitigation process for such Cyber Security Situational Awareness System.
Anomaly based online intrusion detection system as a sensor for cyber security situational awareness system

Kokkonen, Tero Anomaly Based Online Intrusion Detection System as a Sensor for Cyber Security Situational Awareness System Jyvaskyla: University of Jyvaskyla, 2016, 82 p.+included articles) (Jyvaskyla Studies in Computing ISSN 1456 5390; 1456 5390; 251) ISBN 978 951 39 6831 1 (nid. ISBN 978 951 39 6832 8 (PDF) Finnish summary Diss. Almost all the organisations and even individuals rely on complex structures of data networks and networked computer systems. That complex data ensemble, the cyber domain, provides great opportunities, but at the same time it offers many possible attack vectors that can be abused for cyber vandalism, cyber crime, cyber espionage or cyber terrorism. Those threats produce requirements for cyber security situational awareness and intrusion detection capability. This dissertation concentrates on research and development of anomaly based network intrusion detection system as a sensor for a situational awareness system. In this dissertation, several models of intrusion detection systems are developed using clustering based data mining algorithms for creating a model of normal user behaviour and finding similarities and dissimilarities compared to that model. That information can be used as a sensor feed in a situational awareness system in cyber security. A model of cyber security situational awareness system with multisensor fusion capability is presented in this thesis. Also a model for exchanging the information of cyber security situational awareness is generated. The constructed intrusion detection system schemes are tested with different scenarios even in online mode with real user data.
MICU1 regulation of mitochondrial Ca2+ uptake dictates survival and tissue regeneration
Venue: Nature communications

Mitochondrial Ca2+ uptake through the recently discovered Mitochondrial Calcium Uniporter (MCU) is controlled by its gatekeeper Mitochondrial Calcium Uptake 1 (MICU1) However, the physiological and pathological role of MICU1 remains unclear. Here we show that MICU1 is vital for adaptation to postnatal life and for tissue repair after injury. MICU1 knockout is perinatally lethal in mice without causing gross anatomical defects. We used liver regeneration after partial hepatectomy as a physiological stress response model. Upon MICU1 loss, early priming is unaffected, but the pro inflammatory phase does not resolve and liver regeneration fails, with impaired cell cycle entry and extensive necrosis. Ca2+ overload induced mitochondrial permeability transition pore (PTP) opening is accelerated in MICU1 deficient hepatocytes. PTP inhibition prevents necrosis and rescues regeneration. Thus, our study identifies an unanticipated dependence of liver regeneration on MICU1 and highlights the importance of regulating MCU under stress conditions when the risk of Ca2+ overload is elevated.
Involvement of ROS mediated mitochondrial dysfunction and SIRT3 down regulation in tris(2 chloroethyl)phosphate induced cell cycle arrest.
Venue: Toxicology research

Tris(2 chloroethyl)phosphate (TCEP) is a flame retardant in plastics. It is bio accumulative and persistent in the environment and has been detected in ambient and indoor air, surface and groundwater, food, house dust, and consumer products. Studies showed that TCEP can cause damage to the liver and kidneys of rats. However, the mechanisms underlying TCEP remain unclear. To investigate the effect of TCEP on mitochondrial function and cell fate, Chang liver cells were treated with TCEP (3.12, 12.50, 50.00, and 200.00 mg L 1) for 24 and 48 h. The results showed that TCEP increased mitochondrial reactive oxygen species production, disrupted mitochondrial integrity and caused mitochondrial dysfunction, representing increased intercellular free Ca2+ levels, decreased mitochondrial membrane potential and mitochondrial DNA copies as well as reduced ATP synthesis, and G2/M cell cycle arrest with down regulation of SIRT3, forkhead box O3a and manganese superoxide dismutase proteins. The findings suggest that TCEP caused cell cycle arrest through down regulation of SIRT3 is involved in mitochondrial oxidative stress.
Intent detection using semantically enriched word embeddings
Venue: 2016 IEEE Spoken Language Technology Workshop (SLT)

State of the art targeted language understanding systems rely on deep learning methods using 1 hot word vectors or off the shelf word embeddings. While word embeddings can be enriched with information from semantic lexicons (such as WordNet and PPDB) to improve their semantic representation, most previous research on word embedding enriching has focused on improving intrinsic word level tasks such as word analogy and antonym detection. In this work, we enrich word embeddings to force semantically similar or dissimilar words to be closer or farther away in the embedding space to improve the performance of an extrinsic task, namely, intent detection for spoken language understanding. We utilize several semantic lexicons, such as WordNet, PPDB, and Macmillan Dictionary to enrich the word embeddings and later use them as initial representation of words for intent detection. Thus, we enrich embeddings outside the neural network as opposed to learning the embeddings within the network, and, on top of the embeddings, build bidirectional LSTM for intent detection. Our experiments on ATIS and a real log dataset from Microsoft Cortana show that word embeddings enriched with semantic lexicons can improve intent detection.
Mapping theory without argument structure
Venue: J. Lang. Model.

Asudeh and Giorgolo (2012) offer an analysis of optional and derived arguments that does away with argument structure as a separate level of representation within the architecture of Lexical Functional Grammar in favour of encoding much of this information in a connected semantic structure. This simplifies the architecture in many ways, but leaves open the question of the mapping between thematic roles, arguments, and grammatical functions (traditionally explored under the umbrella of Lexical Mapping Theory (LMT: Bresnan and Kanerva 1989) In this paper, I offer some attempt to formalise these mapping relations, drawing on a modern reanalysis of traditional LMT (Kibort 2007) while also continuing Asudeh and Giorgolo's (2012) quest to evacuate as much information as possible out of individual lexical entries and into cross categorising templates (Dalrymple et al. 2004; Crouch et al. 2012)
Synergistic effect of incorporating ZIF 302 and graphene oxide to polysulfone to develop highly selective mixed matrix membranes for carbon dioxide separation from wet post combustion flue gases

Graphene oxide (GO) nanosheets and zeolitic imidazole frameworks (ZIF 302) were synergistically integrated to glassy polysulfone (PSF) to fabricate mixed matrix membranes (MMMs) to separate carbon dioxide from post combustion flue gas stream. In order to optimize CO2 separation performance of composite membranes form dry and wet gases, both nanofillers in varying compositions were incorporated into PSF to prepare MMMs using solution casting technique. The flexible MMMs rendered homogeneous dispersion of fillers, improved polymer filler adhesion, and thermally stable structure. Gas sorption analyses along with dry and wet gas permeation experiments demonstrated improved CO2 permeability coupled with high CO2/N2 ideal selectivity of MMMs due to synergistic effect of nanofillers. The hybrid membrane containing 1 wt% GO and 30 wt% ZIF 302 nanofillers showed an optimum separation performance by providing a CO2 permeability of 13 Barrers with CO2/N2 ideal selectivity of 52. The permeation characteristics of hybrid membranes were found to be better than already existing membranes and were not affected by humid conditions.
Exploring Differential Topic Models for Comparative Summarization of Scientific Papers
Venue: COLING

This paper investigates differential topic models (dTM) for summarizing the differences among document groups. Starting from a simple probabilistic generative model, we propose dTM SAGE that explicitly models the deviations on group specific word distributions to indicate how words are used differen tially across different document groups from a background word distribution. It is more effective to capture unique characteristics for comparing document groups. To generate dTM based comparative summaries, we propose two sentence scoring methods for measuring the sentence discriminative capacity. Experimental results on scientific papers dataset show that our dTM based comparative summari zation methods significantly outperform the generic baselines and the state of the art comparative summarization methods under ROUGE metrics.
Nonparametrically Guided Autoencoder with Laplace Approximation for dimensionality reduction
Venue: 2016 International Joint Conference on Neural Networks (IJCNN)

Unsupervised learning aims to discovery latent representation embedded in the observation, which is useful for data visualization, dimensionality reduction, and density modeling. Autoencoders have been successfully used to learn the latent variations in data, especially with the recent reintroduction by deep learning. For some specific tasks, there are supervised information or labels that can be used to further guide the unsupervised autoencoder model for finding latent representation. The Non Parametrically Guided Autoencoder (NPGA) has been proved to be an effective model. It tries to utilize Gaussian Process Regression (GPR) to model the unknown mapping from unknown latent representation to extra supervised information. However for the discrete label information in classification tasks, using GPR could be unwise and inefficient. In this paper, we propose the Non Parametrically Guided Autoencoder with Laplace Approximation (NPGA LA) to effectively handle discrete labels. The idea of NPGA LA is to make use of Gaussian Process Classification (GPC) rather than GPR to model the transformation between the latent space and the discrete label space. The experimental results verify the excellent performance of the newly developed method.
An Acoustic Investigation of a Coaxial Helicopter in High Speed Flight

The desire for a vertical takeoff and landing (VTOL) aircraft capable of high forward flight speeds is very strong. Compound lift offset coaxial helicopter designs have been proposed and have demonstrated the ability to fulfill this desire but, with high forward speeds, noise is an important concern that needs to be addressed. The study in this paper utilizes a Rotorcraft Comprehensive Analysis System (RCAS) model of the XH 59 aircraft, in conjunction with a noise prediction code, PSU WOPWOP, to computationally explore the acoustics of a lift offset coaxial helicopter. Specifically, unique characteristics of the XH 59 coaxial helicopter noise are identified; and design features and trim settings specific to a compound coaxial helicopter are considered for noise reduction. At some observer locations, there is constructive interference of the coaxial acoustic pressure pulses, such that the two signals add completely. The locations of these constructive interferences can be altered though, by modifying the upper lower rotor blade phasing, providing an overall acoustic benefit. Significant noise reduction (and power reduction) is possible by reducing rotor tip speeds an option available because the coaxial rotor in a compound configuration does not need to provide all the propulsive force. A dual swept tip blade also enables noise reduction at an in plane, forward, target observer. Compete CFD analyses, coupled with PSU WOPWOP, should be explored in the future for a comprehensive acoustic evaluation of lift offset coaxial helicopter noise.
STROBILUS EXTRACTIVES OF THUJA ORIENTALIS AS NOVEL ANTIBACTERIAL AGENT AGAINST SOME PATHOGENIC BACTERIA

Thuja orientalis is a well known red cedar commonly used as an externally applied tincture or ointment for the treatment of ringworm, warts and thrush. Antibacterial potentiality of the crude extract and different solvent extracts of the strobilus of Thuja orientalis was evaluated on microbial strains like gram negative Pseudomonas fluorescens, Pseudomonas putida and gram positive Bacillus mycoides, Bacillus licheniformis using agar well diffusion method during the present study. Chloroform: methanol (1:1 v/v) extracts showed the best result against the test bacteria. M.I.C. values of the aforesaid extract were found to be 0.36 mg/ml and 0.96 mg/ml against Pseudomonas fluorescens and Pseudomonas putida respectively while 1.09 mg/ml and 1.12 mg/ml for Bacillus mycoides and Bacillus licheniformis respectively. The chloroform: methanol (1:1 v/v) extract of strobilus of Thuja orientalis may act as a novel source to obtain an effective antibacterial agent.
Measuring two aspects of emotion recognition ability: Accuracy vs. sensitivity

The present paper aims at showing the necessity to distinguish two aspects of emotion recognition ability, accuracy of the recognition of emotion types that constitute the emotional state of the perceived person and sensitivity to the intensity of the perceived person's emotions. A new technique that measures these two aspects of emotion recognition, the Videotest of Emotion Recognition, is proposed. The accuracy and sensitivity indices provided by the Videotest of Emotion Recognition have high reliability and yield different correlation patterns with other cognitive and personality variables.
Security analysis of LTE/SAE networks over E UTRAN
Venue: 2016 International Conference on Information Technology for Organizations Development (IT4OD)

The security is an important issue in the mobile communications such as LTE/SAE systems, especially the mobile users' authentication and key production process which includes the most important risks. In this paper, we survey and compare authentication and key production solutions, namely the traditional solution EPS AKA (Evolved Packet Switching Authentication and key Agreement) which we consider as a benchmark solution and the J PAKE ( which have many advantages such as off line and on line dictionary attacks resistance, forward secrecy and Known key security, so that we can show the strengths and weakness of these solutions.
Biogas production from anaerobic digestion of fruit and vegetable waste from Johannesburg market

Biogas production from anaerobic digestion is a promising technology for sustainable energy development. Biochemical methane potential (BMP) tests are normally run to determine the possible methane that can be obtained from each biomass. The aim of this study is to determine the biochemical potential of fruits and vegetable wastes from the Johannesburg market. The biochemical methane potential tests were carried out using the bioprocess control Automatic Methane Potential Test System (AMPTS) II machine. The initial pH of the feedstock was low during the preparation of the feed since fruits and vegetable waste (FVW) are acidic and thus buffer solutions were used to increase the pH to 6.5 7.5. The BMP for the FVW was determined to be on average 300 ml CH4 /g VS added with methane content between 50 60 volume.
Iterative GDHP based approximate optimal tracking control for a class of discrete time nonlinear systems
Venue: Neurocomputing

In this paper, an iterative globalized dual heuristic programming (GDHP) method is developed to deal with the approximate optimal tracking control for a class of discrete time nonlinear systems. The optimal tracking control problem is formulated by solving the discrete time Hamilton Jacobi Bellman (DTHJB) equation. Then, it is approximately solved by the developed iterative GDHP based algorithm with convergence analysis. The iterative GDHP algorithm is implemented by constructing three neural networks to approximate the error system dynamics, the cost function with its derivative, and the control policy in each iteration, respectively. The information of the cost function and its derivative is provided during iteration calculation. Two simulation examples are investigated to verify the performance of the proposed approximate optimal tracking control approach.
Analyzing impact of communication network topologies on reconfiguration of networked microgrids, impact of communication system on smart grid reliability, security and operation
Venue: 2016 North American Power Symposium (NAPS)

Smart grids are cyber physical systems that integrate an information and communication technology (ICT) network with the existing power system infrastructure. As smart grids become more mature, the interdependency between the cyber and physical systems becomes stronger. Because of this, the traditional reliability assessment, power grid operations, and power system security assessment techniques, where the physical layer of the power system is considered in isolation and without considering the impact of the communication network, are not sufficient for providing a comprehensive picture of the system anymore. Hence, an interdependent study is needed where both the physical layer and the communication network are taken into account. The objective of this paper is to provide a survey of some of the latest studies and findings in the literature about the impact of communication imperfections on smart grid reliability and operation. Also, a brief overview of some of the recent cyber security studies related to power grid operation has been presented. Finally, some current research questions and future trends in smart grid communications and cyber security are discussed.
Properties of fired clay bricks with incorporated biomasses: Cases of Olive Stone Flour and Wheat Straw residues

In recent years, interest in green building materials and the valorisation of by products from multiple industries has been increasing. As the brick industry allows various compounds to be added during the mixing procedure, much research has been conducted to highlight the impact of additions on fired clay bricks. This paper examines the significance of adding organic matter coming from agricultural solid waste (Olive Stone Flour, OSF, and Wheat Straw, WS residues) to improve thermal performance while maintaining load bearing capacity. The results show a decreasing bulk density for mixtures containing OSF, ranging from 6% to 19% compared to clay alone, and for WS mixtures, where the bulk density reduction is from 4% to 20% Total porosity increases by 5 56% for OSF, and by 7 67% for WS, implying lower thermal conductivity for WS 23% relative to clay alone) compared to OSF 16% when 5%.wt is incorporated. The compressive strength, for 5%.wt WS and 5%.wt OSF is 52% and 31% respectively. There is a significant positive correlation between the increasing amount of organic matter and the porosity. The most striking result to emerge from the data is that, for the same .wt, WS creates higher total pore volume than OSF owing to the difference of grain size distribution. Consequently the pore size distribution of new materials containing OSF is more structured and leads to a better compressive strength than WS.
The effect of the addition of ground olive stones on the physical and mechanical properties of clay bricks

This study deals with the effect of ground olive stones (GOS) on the performance of fired clay bricks. Seven different clay GOS mixes with 0, 1, 2, 3, 4, 5 and 10 wt of GOS respectively were used for making fired brick samples. All samples were fired at 900 degC. The technological properties of the resultant material were then determined, including shrinkage, apparent density, pore size distribution, thermal conductivity, water absorption, and compressive and flexural strength. The addition of GOS to the mixture reduced the compressive strength of fired clay bricks. All clay brick pieces exhibited low firing shrinkage. It was apparent that as the percentage of GOS increased in the body, there was a noticeable increase in porosity. The water absorption coefficient decreased with increasing additions. The results indicated that thermal conductivity decreases with decrease in density and increase in porosity in fired clay bricks.
Effect of olive mill waste addition on the properties of porous fired clay bricks using Taguchi method.
Venue: Journal of environmental management

Production of porous clay bricks lightened by adding olive mill waste as a pore making additive was investigated. Factors influencing the brick manufacturing process were analyzed by an experimental design, Taguchi method, to find out the most favorable conditions for the production of bricks. The optimum process conditions for brick preparation were investigated by studying the effects of mixture ratios (0, 5 and 10 wt% and firing temperatures (850, 950 and 1050 degC) on the physical, thermal and mechanical properties of the bricks. Apparent density, bulk density, apparent porosity, water absorption, compressive strength, thermal conductivity, microstructure and crystalline phase formations of the fired brick samples were measured. It was found that the use of 10% waste addition reduced the bulk density of the samples up to 1.45 g/cm(3) As the porosities increased from 30.8 to 47.0% the compressive strengths decreased from 36.9 to 10.26 MPa at firing temperature of 950 degC. The thermal conductivities of samples fired at the same temperature showed a decrease of 31% from 0.638 to 0.436 W/mK, which is hopeful for heat insulation in the buildings. Increasing of the firing temperature also affected their mechanical and physical properties. This study showed that the olive mill waste could be used as a pore maker in brick production.