Miracle-dz/UniFAR-FTUs huggingface dataset:
1 THW / P 602 Finite Orbit Width Features in the CQL 3 D Code

The CQL3D Fokker-Planck equation solver is being upgraded to allow for the Finite-Orbit-Width (FOW) capabilities, which will provide an accurate description for a neoclassical transport, losses to the walls, and transfer of particles, momentum, and heat to the scrape-off layer. Two different options are discussed for implementing the FOW capabilities. In one option, the Fokker-Planck equation is solved for the distribution function of orbits centered around given flux surface; in the other, the equation is solved for the local distribution function at the grid points along the midplane. Both options use a fast lookup table that allows characterization of orbits without actually tracing them. The lookup table, in effect, performs mapping from the Constants-OfMotion space onto the (R0, u0, θ0) computational space on the midplane. The FOW modifications have been implemented for the formations of neutral beam source, rf quasilinear diffusion operator, particle diagnostics and collisional operator, and internal boundary conditions are being refined.
A Framework for Intrusion Deception on Web Servers

Threats against computer systems continue to multiply, but existing security solutions that attempt to keep the attacker out of the system are becoming unable to keep pace with these challenges. In this paper we discuss the application of military deception to defend computer systems. Deception techniques enable the defender to influence the attacker's selection of targets and thus direct him to perform actions that reveal his presence and intentions. We discuss techniques that mislead attackers and cause them to take specific actions that aid in the defense of a computer system. We then focus on web servers, that are frequently attacked often as a first step of a deeper intrusion into a computer network, and present an architecture integrating deception into a popular web server.
IMMP 14-1 Draft Genome Sequence of Lactobacillus fermentum 47-7-A Probiotic Strain Isolated from an Infant

The purpose of this study was to determine the draft genome sequence of Lactobacillus fermentum 47-7, a probiotic strain isolated from healthy infant in Khon Kaen, Thailand. Next generation whole-genome shotgun sequencing of L. fermentum 47-7 was done by using two platforms consists of Illumina Hiseq 2000 and Ion Torrent Personal Genome Machine (PGM). The merged sequence reads of both platforms showed the highest consensus sequences mapped with L. fermentum IFO 3956, the selected reference genome. The draft genome was submitted to Whole Genome Shotgun projects (WGS) of National Center for Biotechnology Information (NCBI) database. L. fermentum 47-7 genome with G+C content of 52.2% has 1,814 genes consisting of 1,626 coding sequences (CDS), 57 tRNAs, 15 rRNAs, 4 ncRNAs, 112 pseudogenes. This draft genome sequence provides useful data for further exploring various interesting characteristics of this organism.
Analysis Based Requirement Evolution Prediction

To facilitate product developers capturing the varying requirements from users to support their feature evolution process, requirements evolution prediction from massive review texts is in fact of great importance. The proposed framework combines a supervised deep learning neural network with an unsupervised hierarchical topic model to analyze user reviews automatically for product feature requirements evolution prediction. The approach is to discover hierarchical product feature requirements from the hierarchical topic model and to identify their sentiment by the Long Short-term Memory (LSTM) with word embedding, which not only models hierarchical product requirement features from general to specific, but also identifies sentiment orientation to better correspond to the different hierarchies of product features. The evaluation and experimental results show that the proposed approach is effective and feasible.
Merced Proceedings of the Annual Meeting of the Cognitive Science Society Title Concurrent Execution in a Cognitive Architecture Permalink

Many human activities happen in parallel. People read while eating, talk over a phone while walking, and steer their cars while pushing the gas pedal. Therefore, cognitive architectures, as computational theories of human cognition, should also have facilities to support this type of capability. In this paper, we introduce extensions to our architecture, ICARUS, that support concurrent execution. We also provide some preliminary observations from our recent experiments.
A Tow-Level Progressive Damage Model for Simulating Carbon-Fiber Textile Composites : Interim Report

A numerical approach to model the elasto-plastic and tensile damage response of tri-axially braided carbon-fiber polymeric-matrix composites is developed. It is micromechanically based and consists of a simplified unit cell geometry, a planestress tow-level constitutive relationship, a one-dimensional undulation constitutive law, and a non-traditional shell element integration rule. The braided composite lamina is idealized as periodic in the plane, and a simplified three-layer representative volume (RV) is assembled from axial and braider tows and pure resin regions. The constituents in each layer are homogenized with an iso-strain assumption in the fiber-direction and an iso-stress condition in the other directions. In the upper and lower layers, the fiber-direction strain is additively decomposed into an undulation and a tow portion. A finite-deformation tow model predicts the planestress tow response and is coupled to the undulation constitutive relationship. The overall braid model is implemented in DYNA3D and works with traditional shell elements. The finite-deformation tow constitutive relationship is derived from the fiber elasticity and the isotropic elasto-plastic power-law hardening matrix response using a thermodynamic framework and simple homogenization assumptions. The model replicates tensile damage volution, in a smeared sense, parallel and perpendicular to the fiber axis and is regularized to yield mesh independent results. The tow-level model demonstrates reasonable agreement, prior to damage, with detailed three-dimensional FE (finite element) elasto-plastic simulations of aligned, periodically arranged, uni-directional composites. The 3-layer braid model response is compared with predictions obtained from detailed micromechanical simulations of the braid’s unit cell in uni-axial extension, shear, and flexure for three braid angles. The elastic properties show good agreement as does the non-linear response for loadings dominated by the axial tows. In loadings dominated by the braider tow response, the absence of a non-linear undulation model deteriorates the agreement. Nonetheless, the present approach is applicable to a broad range of tri-axially braided composites as well as for unidirectional composites, but presently lacks any compressive failure mechanisms and an adequate non-linear undulation model.
LConOnt : A Three-Level Ontology for Context Modelling in Context-Aware Computing

Context-aware computing is the ability of services and applications to adapt and react to context changes. Context modelling is a core feature of context-aware computing. Although a lot of research has been made in the field of context modelling, most of the context-aware computing proposals prefer to design their own customized context model instead of reusing an existing one. The main reason for this behaviour is that current context models present some problems concerning reusability, extensibility and adaptation. To contribute solving these issues, in this paper we present 3LConOnt, a three-level context ontology that can be easily reused, extended and adapted for specific or generic purposes. The proposed context model consolidates the context knowledge already available from a modular perspective yielding a clear schema of knowledge reutilization. To do so, we gathered context knowledge pieces from different ontologies to be integrated into standardized and well-defined levels of abstraction and modules. The proposal has been validated considering: 1) reusability, extensibility and adaptation by instantiating different smart scenarios; 2) consistency and reasoning by triggering queries to the proposed model based on some competence questions; and 3) reusability in existing ontologies by importing the Universitat Politècnica de Catalunya – BarcelonaTech, GESSI – UPC. C Jordi Girona 1-3, Omega Building S-208, 08034 Barcelona, Spain. Oscar Cabrera E-mail: ocabrera@essi.upc. edu Xavier Franch E-mail: franch@essi.upc. edu Jordi Marco E-mail: jmarco@cs.upc. edu needed module or level of the model. Additionally, we also illustrate its usability in context-aware services by modelling a context-aware framework architecture for supporting the whole context life cycle: acquisition, modelling, reasoning, and distribution.
Threshold Estimation Models for Influence Maximization in Social Network

The Influence Maximization (IM) problem determines a small set of influential users that maximizes the influence spread in the network where influence is measured by the number of active nodes. Among the two classical models, in the Linear Threshold (LT) a node is activated if the total influence of all the active in-neighbors is no less than a given threshold and thus threshold selection is important. In this research we observe that the threshold depends on the application of IM and the influence weight. Then we propose different threshold models based on influence weight. Our models are linear and the simulation on real dataset shows that they have fast running time.
Weakly Represented Families in the Context of Reverse Mathematics

It is common pratice in computability theory to represent a family of objects by a single object; this is typically done in such a way that the individual members of the family can be derived in a uniformly effective way from the single object. For example, a single set A could represent the family of sets consisting of the rows of A. This approach is called uniform and is relatively restricted in what families of objects it allows to represent. In this article we study the reverse mathematics proof strength of second order logic principles that make statements about families of sets and functions. To allow us to make these statements more expressive, we would like to formulate them in such a way that they talk about a larger class of families of sets and functions than can be represented in the uniform way. To enable this, we define a more general way of representing families, the so-called weak representation of families of functions and sets. Using this tool, we can then state and investigate the second order logic principles we want to study. Specifically, we investigate the Domination Principle DOM, the Avoidance Principle AVOID, the Meeting Principle MEET, and the Hyperimmunity Principle HI. Furthermore, we define the Cohesion Principle for weakly represented families COHW and separate it from the previously known Cohesion Principle COH. The results obtained witness that the notion of weakly represented families is a useful and robust tool in reverse mathematics. D. Raghavan was supported in part by NUS grants R146-000-184-112. F. Stephan was supported in part by NUS grants R146-000-181-112 and R146-000184-112.
– Comparison of Direct Finite Element Simulation with Actuator Line Models and Vortex Models for Simulation of Turbulent Flow Past a Vertical Axis wind Turbine

We compare three different methodologies for simulation of turbulent flow past a vertical axis wind turbine: (i) full resolution of the turbine blades in a Direct Finite Element Simulation (DFS), (ii) implicit representation of the turbine blades in a 3D Actuator Line Method (ALM), and (iii) implicit representation of the turbine blades as sources in a Vortex Model (VM). The integrated normal force on one blade is computed for a range of azimuthal angles, and is compared to experimental data for the different tip speed ratios, 2.55, 3.44 and 4.09.
RcMYBPA 2 of Rosa chinensis functions in proanthocyanidin biosynthesis and enhances abiotic stress tolerance in transgenic tobacco

Proanthocyanidins (PAs) are major antioxidant flavonoids that play a key role in protecting plants against adverse environmental stress, but the transcriptional regulation of PAs synthesis in rose has not been fully investigated. Here, we report the functional characterization of RcMYBPA2 from rose (Rosa chinensis). RcMYBPA2 expression was induced by wounding, methyl viologen and salicylic acid. Overexpression of RcMYBPA2 in tobacco (Nicotiana tabacum) led to increased PAs concentrations, as well as enhanced tolerance to oxidative stress in comparison with the wild type (WT). Of special note, the transgenic plants exhibited lower levels of reactive oxygen species (ROS) than the WT, accompanied by higher levels of antioxidant enzyme activity under oxidative conditions. The ROS scavenging ability of the transgenic plants was compromised by inhibitors of antioxidant enzymes. In addition, a range of several stress-responsive genes was also up-regulated in the transgenic tobacco under oxidative stresses. Taken together, it is demonstrated that RcMYBPA2 is a positive regulator of the PAs biosynthetic pathway and participates in oxidative tolerance partly via modulating ROS scavenging ability and stress-responsive genes expression.
A Deep Dive into the Dark Web Research project as part of the Security and Network Engineering master at UvA

The size of the web is ever increasing. The web reaches far beyond the part that is indexed and searchable by search engines, also known as the surface web. This research focuses on measuring the surface web and a specific part of the deep web – the dark web – that is accessible by means of the TOR protocol. The amount of pages on the surface web were obtained via a literature study, while the mean page size was measured based on samples gathered from several search engines. An overlap analysis was conducted to gain insights in the total amount of pages accessible through TOR. A script was built in order to measure average page sizes without actually accessing those, due to ethical considerations. The results show that the surface web is roughly between 16 and 193 pebibytes, while TOR is between 0.3 and 0.8 pebibytes – which results in a TOR/surface-ratio of approximately 0.6%.
Job Networks through College Classmates: Effects of Referrals for Men and Women∗

This paper analyzes effects of referrals on labor market outcomes, as well as how these effects differ by gender. To do so, I link administrative data on community college student transcripts to matched employer-employee records to study job search through classmates. Using a novel two-step research design, I first identify classroom network effects by exploiting quasi-random variation in section enrollment within courses. Results indicate taking a class with a peer increases the propensity for a student to get a job at a firm where the peer is incumbent. The overall propensity to use classmates in job finding does not differ by gender, although students display an increased propensity to form networks with same-gender peers. In the second step of the research design, I investigate the labor market effects of obtaining a job through a classmate. Consistent with the predictions of a referral-based job search model, workers who obtain jobs through classmates earn more and are less likely to leave the firm, and effects decline with tenure in the firm. Furthermore, while referrals benefit both genders, the earnings premium from referrals for women is less than half the premium for men. From a policy perspective, these findings suggest a key tradeoff between increasing efficiency through referrals and increasing gender equity. ∗I am grateful to my advisors, Peter Arcidiacono, Pat Bayer, Rob Garlick, Joe Hotz, and Arnaud Maurel for their guidance and encouragement. I thank Gorkem Bostanci, Hugh Cassidy, David Eil, Paul GoldsmithPinkham, Attila Gyetvai, Mike Kofoed, Margaux Luflade, Hugh Macartney, Margie McElroy, John Pepper, Michael Ransom, Tyler Ransom, Seth Sanders, David Selover, John Singleton, Juan Carlos Suárez Serrato, and Xiao Yu Wang for helpful comments. This paper also benefitted from seminar participants at Duke, SOLE, AEFP, Young Economists Symposium, SEA, and WEAI. †mzhu33@syr.edu
PREDICTFATAL ROAD ACCIDENTSIN LEBANON

Nowadays, road traffic accidents are one of the leading causes of deaths in this world. It is a complex phenomenon leaving a significant negative impact on human’s life and properties. Classification techniques of data mining are found efficient to deal with such phenomena. After collecting data from Lebanese Internal Security Forces, data are split into training and testing sets using 10-fold cross validation. This paper aims to apply two different algorithms of Decision Trees C4.5 and CART, and various Artificial Neural Networks (MLP) in order to predict the fatality of road accidents in Lebanon. Afterwards, a comparative study is made to find the best performing algorithm. The results have shown that MLP with 2 hidden layers and 42 neurons in each layer is the best algorithm with accuracy rate of prediction (94.6%) and area under curve (AUC 95.71%).
CONTROL ALGORITHM DESIGN AND SYSTEM IMPLEMENTATION OF A POWERED TRANSITIAL PROSTHETIC DEVICE

CONTROL ALGORITHM DESIGN AND SYSTEM IMPLEMENTATION OF A POWERED TRANSITIAL PROSTHETIC DEVICE Jinming Sun, B.S. Marquette University, 2012 A powered lower limb prosthesis, which consists of a four bar mechanism, a torsional spring and a brushed DC motor, was previously designed and fabricated. To regulate the motor power input, a two level controller was proposed and built. The control algorithm includes a higher level finite state controller and lower level PID controllers. To implement the control system, a digital signal processor (DSP) control board and MATLAB Simulink were used to realize the higher level control and a DC motor controller was used to realize the lower level PID control. Sensors were selected to provide the required feedback. The entire control system was implemented on a convenient to carry backpack. Amputee subject testing was performed to obtain some experimental verification of the design. The results showed that the control system performed consistently with the designed control algorithm and did assist in the amputee’s walking. Compared to a currently available powered prosthesis, this control is simple in structure and able to mimic the nonlinear behavior of the ankle closely.
Riga , Latvia Machines that Dream : a New Challenge in Behavioral-Basic Robotics

The digital revolution is transforming contemporary society. Connective intelligence is an emerging property deriving from the embedding of intelligence into the connected data, concepts, applications, and people. Furthermore, the progress in behavioralbasic robotics opens new fields of innovative investigation. In this challenging context, might it make sense to provide machines with dreaming-like functions? Indeed, machine inactivity can be assimilated to the sleep state of living beings. Furthermore, when dreaming, we can interact with what we take to be other individuals and things and, in certain respects, the same happens in the virtual world. This paper highlights some new directions that have emerged in the field of Artificial Intelligence, focusing on the total Turing test and dreaming machines. © 2016 The Authors. Published by Elsevier B.V. Peer-review under responsibility of organizing committee of the scientific committee of the international conference; ICTE 2016.
Adaptive Image Reconstruction Algorithm for Electrical Capacitance Tomography

Since the image reconstruction of electrical capacitance tomography (ECT) is an inverse problem of ill-posedness, regularization techniques are widely used to obtain stable solutions. The choice of regularization coefficients has a direct influence on the reconstruction result. In theory, the optimal regularization coefficient exists, but for most regularization techniques, the computation cost is too large to apply in real-time ECT image reconstruction. In this paper, a new approach which can determine the regularization coefficient quickly in iterative Tikhonov regularization algorithm for ECT is proposed. In order to improve the quality of the reconstructed image further, an improved method of adaptive threshold filtering is used in the last Tikhonov iteration. The algorithm proposed is tested by the noise-free and noise-contaminated capacitance data. The simulation results demonstrate that the proposed algorithm is superior to wellknown Landweber algorithm in terms of image quality.
CBIR APPROACH TO FACE RECOGNITION

Face recognition is interpreted as a CBIR (Content Based Image Retrieval) problem. An arbitrary input image of a given face is treated as a sample for search within a database (DB), containing a large enough set of images (i.e. projections from a sufficient number of view points) for each human face of interest. We assume that the faces for recognition are static images, which have been appropriately extracted from an input video sequence. In addition, we have at our disposal a CBIR method for image DB access that is simultaneously fast enough and noise-tolerant. The paper describes both the methodology used for building up the DB of image samples and the experimental study for the noise-resistance of the available CBIR method. The latter is used to acknowledge the applicability of the proposed approach.
Incentive‐compatible advertising on nonretail platforms

Nonretail platforms enable users to engage in noncommercial activities, while generating user information that helps ad targeting. We present a model in which the platform chooses a personalized ad‐display rule and an advertising fee (which depends on the targeted user group). The policy that maximizes the platform's advertising revenues creates an incentive for advertisers to strategize targeting. We provide a condition for incentive‐compatibility of the first‐best policy, and highlight the forces that make it harder to satisfy. We apply our result to examples of platforms. Our analysis of social networks turns out to be related to the “community‐detection” problem.
The Question of Research into the Quality of Life of Patients with Recurrent Depressive Disorders in Advanced Age

The elderly mental patient of today presents an unique clinical phenomenon from the point of view of existence and combination of different types and course of pathology, competing in their predictive significance and influence on quality of life (QOL) of the patient [4, 5]. Affective disorders in the advanced age have peculiarities connected with changes in mental activities of humans and determined by biological processes of evolution. One of the most typical forms of mental pathology in the advanced age are depressive states, which, besides the classical depressive triad are characterized by existence of an anxious component, delirious mood, and hypochondria [12, 16, 19]. Today there is an increase of interest to the problem of QOL of such patients [13, 17].