Miracle-dz/UniFAR-FTUs huggingface dataset:
Cognitive Causality Detection with Associative Memory in Textual Events

In previous research works, the causality generally refers to the existence of causality in mathematics and physics. In recent years, detection and clarification of cause-effect relationships, Causality Detection, among texts, events or objects has been elevated to a prominent research topic of natural and social sciences over the human knowledge development history. This paper demonstrates a causality detection algorithm (AM-CDA) inspired with cognitive associative memory. In the task of causality detection, AM-CDA implements a simple recurrent neural network (SRNN) to simulate human associative memory, which has the ability to associate different types of inputs when processing text information. The detection objects are simple sentences and clauses, which are treated as events in microstructure. AM-CDA has been fully examined in elaborately designed experimental tasks. The experimental results have testified the capability of AM-CDA in causality detection, and also indicate that further research works can improve the performance in standard evaluation measures.
Partial Discharge Sources Detection and Location with an Electromagnetic Vector Sensor

Partial discharge (PD) sources identification and location is one of the key problems for transformers PD online monitoring. Electromagnetic vector sensor (EMVS) is capable of measuring the complete electric and magnetic fields induced by electromagnetic signals at one point. Using its detecting data, we can estimate the electromagnetic sources' spatial parameters and polarizations. In this paper, a single EMVS is proposed to measure the radiating ultra-high frequency (UHF) signal for PD detection and location. With the narrowband data filtered from the EMVS output signal, the number of PD sources can be estimated exactly by using minimum describing length (MDL) rule, the spatial parameters and polarizations of PD sources can be obtained by adopting MUSIC algorithm. The results of simulate experiment show that this method is capable of identifying three PD sources and estimating their azimuths, elevations and polarizations. It is practical and hopeful to realize the PD location in transformer online PD monitoring
Analysis of multispectral images of the colon to reveal histological changes characteristic of cancer

Colon cancer alters the macroarchitecture of the colon tissue. Common changes include the formation of new blood vessels (angiogenesis) and the distortion of the tissue collagen matrix. Such changes affect the colon colouration. This paper presents the principles of a novel image analysis method capable of extracting parameters depicting histological quantities of the colon from its multispectral images. The method is based on a computational, physics-based model of light interaction with tissue. The colon structure is represented by three layers: mucosa, submucosa and muscle layer, and parametrised by the concentration of blood haemoglobins; the size and density of collagen fibres; and the thickness of the layers. Using the entire histologically plausible ranges for these parameters, a cross-reference is created computationally between the histological quantities and the spectra which can be obtained at each point of a multispectral image set. In a pilot study the method was applied to two excised colon samples comprising normal tissue and adenocarcinomas. The histological parameters extracted from the cancerous regions showed the changes characteristic of the colon cancers, namely the increase in the blood volume fraction, decrease in the collagen density and increase in the thickness of the mucosal layer.
A comment on quantum distribution functions and the OSV conjecture

Using the attractor mechanism and the relation between the quanti- zation of H 3 (M) and topological strings on a Calabi Yau threefold M we define a map from BPS black holes into coherent states. This map allows us to represent the Bekenstein-Hawking-Wald entropy as a quantum distribution function on the phase space H 3 (M). This distribution function is a mixed Husimi/anti-Husimi dis- tribution corresponding to the different normal ordering prescriptions for the string coupling and deviations of the complex structure moduli. From the integral represen- tation of this distribution function in terms of the Wigner distribution we recover the Ooguri-Strominger-Vafa (OSV) conjecture in the region "at infinity" of the complex structure moduli space. The physical meaning of the OSV corrections are briefly discussed in this limit.
Intrusion detection system based on Software Defined Network firewall

Software Defined Network is an architecture that focuses on the separation of control plane and data plane in order to make networks programmable and scalable. Currently Openflow is the most widely used SDN protocol. It has provided flexibility to the networking environment and had made it simpler and easy to optimize. SDN is a major area of research however; in the current scenario the field of security is relatively under exploited. The paper describes an intrusion detection mechanism for Openflow based Software defined networks. The study focuses on developing a packet filtering firewall over a Software Defined Network controller namely Floodlight and the application of association rules to find the patterns among the data passing through the firewall. The patterns recorded serve as the motivation behind the development of an Anomaly based intrusion detection mechanism.
A Control of Electric Wheelchair Using an EMG Based on Degree of Muscular Activity

In this paper, a control system of an electric wheelchair (EWC) using a surface electromyogram (SEMG) based on degree of muscular activity is discussed for disabled persons such as those who have spinal cord injury. The control device is attached to a joy-stick of the ready-made EWC and controls the joy-stick by motor drive. The surface electromyograms (SEMGs) of four muscles, which are the neck, both sides of shoulder and the cheek, are measured, and the EWC is navigated based on the SEMG of the user. By identifying the SEMGs, seven patterns of the navigation of the EWC are possible, which are stop, advance, back, right turn, left turn, right back turn, and left back turn. Thus, users can navigate the EWC by their own intention without using their hands. In addition, this study focused on the four motions, which are right turn, left turn, right back turn, and left back turn. For these motions, two new methods to determine the target angle of the joy-stick based on both the degree and duration of the muscular activity during straining the corresponding muscle are proposed. In order to verify the maneuverability of the EWC by the proposed two methods, run experiments in two test courses were carried out, and results were compared with the conventional method.
The re-institutionalization of higher education in the western Balkans : the interplay between European ideas, domestic policies, and institutional practices

Contents: Bjorn Stensaker/Jelena Brankovic/Maja Kovacevic/Peter Maassen/Martina Vukasovic: Introduction - Martina Vukasovic: How Can and How Does Europe Matter? - Danijela Dolenec/Nikola Baketa/Peter Maassen: Europeanizing Higher Education and Research Systems of the Western Balkans - Antigoni Papadimitriou/Bjorn Stensaker: Governance Capacity of Western Balkan Universities: Perceptions of Institutional Leadership - Jelena Brankovic: Positioning of Private Higher Education Institutions in the Western Balkans: Emulation, Differentiation and Legitimacy Building - Martin Galevski: Dimensions of Higher Education Governance in Macedonia: Exploring the Roles of the State - Sanja Kanazir/Antigoni Papadimitriou/Bjorn Stensaker: Quality Assurance Agencies in the Western Balkans: Balancing European Standards and Domestic Needs? - Martina Vukasovic: Quality Assurance in Croatia and Serbia: Analysis of Changes of Policy and Internal Organizational Practices - Antigoni Papadimitriou/Nina Brankovic/Snezana Dordevic: The Regional Links of Universities in Bosnia-Herzegovina, Croatia, and Serbia - Heliona Mico/Suzana Papadhopulli: Differentiation of the Mission of Higher Education Institutions through Developing and Establishing Regional Development Centres at Each Regional University - Bjorn Stensaker/Jelena Brankovic/Maja Kovacevic/Peter Maassen/Martina Vukasovic: Epilogue.
Enhanced TLR4 reactivity following injury is mediated by increased p38 activation

Severe injury primes the innate‐immune system for increased Toll‐like receptor 4 (TLR4)‐induced proinflammatory cytokine production by macrophages. In this study, we examined changes in TLR4 signaling pathways in splenic macrophages from burn‐injured or sham mice to determine the molecular mechanism(s) responsible for the increased TLR4 responsiveness. Using flow cytometry and specific antibodies, we first looked for injury‐induced changes in the expression levels of several TLR‐associated signaling molecules. We found similar levels of myeloid differentiation primary‐response protein 88 (MyD88) and interleukin‐1 receptor‐associated kinase‐M (IRAK‐M) and somewhat lower levels of total p38, extracellular signal‐regulated kinase (ERK), and stress‐activated protein kinase (SAPK)/c‐jun N‐terminal kinase (JNK) mitogen‐activated protein kinases (MAPKs) in burn compared with sham macrophages. However, with the use of antibodies specific for the phosphorylated (activated) forms of the three MAPKs, we found that macrophages from burn mice showed a twofold increase in purified lipopolysaccharide (LPS)‐stimulated p38 activation as compared with cells from sham mice on days 1 and 7 post‐injury, whereas ERK and SAPK/JNK activation was increased by burn injury only on day 1. Using the specific p38 inhibitor (SB203580), we confirmed that the increase in tumor necrosis factor α production by LPS‐stimulated burn macrophages requires p38 activation. Although we demonstrated that injury increases macrophage TLR4 mRNA expression and intracellular expression of TLR4‐myeloid differentiation protein‐2 (MD‐2) protein, macrophage cell‐surface expression of TLR4‐MD‐2 was not changed by burn injury. Our results suggest that the injury‐induced increase in TLR4 reactivity is mediated, at least in part, by enhanced activation of the p38 signaling pathway.
Standing posture modeling and control for a humanoid robot

This paper presents a novel approach employing nonlinear control for stabilization of standing posture for a humanoid robot using only hip joint. The robot is modeled as an acrobot where model parameters are estimated through adaptive algorithm. A `non-collocated partial feedback' controller is applied. This is integrated with a linear feedback control, through LQR. Improved robustness to external push is demonstrated through evaluation in Webots simulator and on a physical humanoid robot, NUSBIP-III ASLAN. Performance comparison with other controllers verifies the effectiveness of the proposed control system.
A compact back-plaster sensor node for dementia and Alzheimer patient care

This paper presents a compact and highly integrated back-plaster sensor node equipped with seamless localization (in-door and out-door) based on assisted GPS and Bluetooth localization, activity classification and fall detection as well as a GSM module providing a GPRS connection to a server infrastructure for supporting dementia and Alzheimer patients in their daily life. The innovative and durable design as a hermetically rubber-sealed, waterproof and sanitizable back-plaster ensures optimum wearing comfort for the patient as well as reliable fall detection. In addition, combined with an internet server infrastructure the described plaster sensor node allows informing relatives or professional care in case of an emergency and help to enhance the quality of life by increasing patient's feeling of security.
A Visual Analytics Tool for Analysing Microarray Data

This paper presents a new visual analytics tool for analysing microarray data with several thousands of attributes. The tool includes two components 1) automated data analysis and 2) interactive visualization. Automated data analysis is used to reduce of the amount of attributes, through the construction of data groups and principle component analysis (PCA). Interactive visualization provides an interface that allows the user to explore the variables of these data groups and to extract more information from all the attributes
Algebraic decoding of a class of ternary cyclic codes

Recently, it has been shown that an explicit expression of the classical/general error locator polynomial for a class of binary cyclic codes can be determined by Lagrange interpolation formula. In this paper we extend it to the case of ternary cyclic codes and give an upper bound on the term numbers of the general error locator polynomial. Based on the obtained classical/general error-locator polynomials, we propose the algebraic decoding of the (11, 6, 5) and (23, 12, 8) ternary cyclic codes.
Frame Analysis of the Self-Perceived Leadership Orientations of Headmasters of the Independent Schools Association of the Southwest, Southern Association of Independent Schools, and the Association of Independent Schools of Greater Washington Member Schools.

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Dealing with the Multimodal Distributions of Mixture Model Parameters

In a Bayesian analysis of nite mixture models, the symmetry and multi-modality of the posterior distribution of the parameters makes it diicult to interpret or summarize. The common practice of making parameters identii-able by imposing artiicial constraints biases parameter estimates and generally fails to solve the problem of multimodality. We suggest a solution which involves permuting samples from the parameter posterior density so as to remove as much multimodality as possible, and demonstrate its eeectiveness on a simulated example.
MORE SIMILAR THAN DISSIMILAR

During the past few years there has been a discussion within the information systems community related to the similarities and differences between action research (AR) and design science research (DSR). Some believe the two research paradigms are similar and that they can be matched in ways that can improve the quality of research. Others argue that AR and DSR are based on fundamentally different research paradigms, making a mixed approach difficult. From the viewpoint of doing intervention based software process improvement (SPI) research, the combination of AR and DSR can typically be a critical success factor. Using van Fraassen’s philosophy of science as a starting point, this paper argues how paradigmatic differences between AR and DSR can be overcome by designing AR/DSR based SPI research along the philosophy of constructive empiricism. The idea is illustrated by an empirical example of the evolution of an AR/DSR based SPI research method. The significance of the paper is a support to the group of IS researchers arguing the case of similarity between AR and DSR by pointing out a way of overcoming the paradigmatic criticism made by researchers arguing the case of dissimilarity.
Does Foreign Direct Investment ( FDI ) Matter for Growth ? A Longitudinal Disaggregated Panel Data Analysis

Does Foreign Direct Investment (FDI) Matter for Growth? A Longitudinal Disaggregated Panel Data Analysis Asrafuzzaman, Syed Hasanuzzaman 1, Lecturer, Department of Economics, Shahjalal University of Science and Technology, Sylhet, Bangladesh. 2 Associate Professor, Department of Economics, Shahjalal University of Science and Technology, Sylhet, Bangladesh. * Corresponding Author: asrafrobin@gmail.com
Multiple Biological Sequence Alignment with a Parallel Island Injection Genetic Algorithm

Multiple sequence alignment (MSA) is an important problem in Bioinformatics since it is often used to identify evolutionary relationships and predict secondary/tertiary structure, among others. MSAs are usually scored with the Sum-of-Pairs (SP) function and the exact SP MSA is known to be NP-Hard. Therefore, heuristic methods are used to solve this problem. In this paper, we propose and evaluate a parallel island injection genetic algorithm to solve the MSA problem. Unlike the other strategies, our parallel solution uses two types of interconnected archipelagoes, each with distinct types of individuals. Our results with real protein data sets show that our strategy is able to obtain better results, when compared to the traditional island model. Also, we were able to reduce considerably the execution time, when compared to the sequential version.
Differential Fitness Transmission : Detecting Darwinian Evolution with Genealogic Records

We introduce differential fitness transmission as a signature of adaptive, Darwinian evolution, which can be detected using genealogical records of a reproducing population. This method is motivated by the observation that Darwinian evolution fundamentally consists in the differential transmission of heritable, fitness-affecting traits that result in differential transmission of fitness itself: fitter parents should tend to produce fitter offspring. Based on this idea, we propose several statistics which allow us to detect the presence of differential fitness transmission under various conditions. As an experimental illustration, we apply our statistics to simple evolutionary algorithms using different selection and replacement regimes. We demonstrate that differential fitness transmission can be used to detect the presence of a force which consistently favours certain lineages at the expense of others, over more than one generation. We conclude that differential fitness transmission is a useful, practical signature of Darwinian evolution for situations in which a genealogical record of the population can be obtained.
Efficient Fair Conditional Payments for Outsourcing Computations

The outsourcing computations in distributed environments suffer from the trust problems between the outsourcer and the workers. All existing solutions only assume the rational lazy-but-honest workers. In this paper, we first introduce the rational lazy-and-partially-dishonest workers in the outsourcing computation model. In addition, we propose a new fair conditional payment scheme for outsourcing computation that is only based on traditional electronic cash systems. The proposed construction uses a semitrusted third party T to achieve the fairness and efficiency. However, T is only involved in the protocol in the exceptional case, namely in the case of disputes. Moreover, since neither the secret sharing/splitting scheme nor the cut-and-choose protocol is used for the generation or verification of the payment token, our solution clearly outperforms the existing schemes in terms of efficiency.
Kinematic characteristics of hailstorms in Northern Greece

Abstract. The purpose of this study is the analysis of radar data, digitally recorded, during an operational hail suppression program in the region of Central Macedonia, Greece, for the warm period of the years 1997–2001. Kinematic characteristics, such as lifetime and distance traveled by hailstorms, as well as direction of motion and speed, have been related to type of storms and season. It has been found that singlecells are short-lived and travel short distances, while multicells are long-lived and travel long distances. On the contrary, their corresponding speed distributions are similar. The deviation of the direction of motion from mean wind is smaller for singlecells than for multicells. September and July exhibit the maximum and minimum average storm speeds as a direct implication of synoptic disturbances passage and convection, prevailing respectively. Finally, storms overcoming orographic barriers decelerate in general on the windward side and accelerate on the lee side of mountains.
Population ageing and fiscal sustainability: An integrated micro-macro analysis of required tax changes

Most studies on the economic consequences of ageing rely on Computable General Equilibrium (CGE) models that account for feedback mechanisms through changes in relative prices, tax bases etc. However, since individual labour supply behaviour is considered to be a key element in CGEanalyses of fiscal sustainability problems, the results of these analyses may depend crucially on how the labour supply behaviour is modelled. The current practice of combining a simplified representation of the tax and transfer system with the labour supply behaviour of a few representative agents may render a misleading description of incentives and revenue effects. The purpose of this paper is to demonstrate the importance of using an alternative strategy by integrating a detailed microeconometric model of labour supply, that is sufficiently flexible to capture a large variety of labour supply responses, with a large-scale CGE model. The integrated micro-macro CGE model is employed to explore how endogenous household labour supply behaviour affects and interacts with sustainability problems in Norway. The empirical results suggest that the required increase in the future tax burden is less dramatic when the analysis allows for a flexible representation of the labour supply behaviour. Moreover, by replacing the current progressive tax system with a flat tax system it is found that the pressure on future public finances is significantly reduced.
Luminosity functions of Lyα emitting galaxies and cosmic reionization of hydrogen

Recent observations imply that the observed number counts of Lyα emitters (LAEs) evolved significantly between z = 5.7 and 6.5. It has been suggested that this was due to a rapid evolution in the ionization state, and hence transmission of the intergalactic medium (IGM) which caused Lyα flux from z = 6.5 galaxies to be more strongly suppressed. In this paper, we consider the joint evolution of the Lyα and the ultraviolet luminosity functions (LFs) and show that the IGM transmission evolved between z = 6.5 and 5.7 by a factor 1.1 0.5.
Algorithms for nonnegative independent component analysis

We consider the task of solving the independent component analysis (ICA) problem x=As given observations x, with a constraint of nonnegativity of the source random vector s. We refer to this as nonnegative independent component analysis and we consider methods for solving this task. For independent sources with nonzero probability density function (pdf) p(s) down to s=0 it is sufficient to find the orthonormal rotation y=Wz of prewhitened sources z=Vx, which minimizes the mean squared error of the reconstruction of z from the rectified version y/sup +/ of y. We suggest some algorithms which perform this, both based on a nonlinear principal component analysis (PCA) approach and on a geodesic search method driven by differential geometry considerations. We demonstrate the operation of these algorithms on an image separation problem, which shows in particular the fast convergence of the rotation and geodesic methods and apply the approach to a musical audio analysis task.