Miracle-dz/UniFAR-FTUs huggingface dataset:
ACCADEMIA NAZIONALE DEI LINCEI

10.00 Saluto della Presidenza Lo studioso di preistoria e protostoria Anna Maria SESTIERI (Accademia dei Lincei), Il contributo di Giovanni Lilliu allo studio della preistoria mediterranea Giuseppa TANDA (Universita di Cagliari), Giovanni Lilliu e la Sardegna prenuragica Alberto MORAVETTI (Universita di Sassari), Giovanni Lilliu e "la bella eta dei nuraghi" 11.30 Intervallo L'uomo, l'accademico, il politico 11.45 Mario TORELLI (Accademia dei Lincei), Giovanni Lilliu nell'universita e nella vita politica Michel GRAS (Accademia dei Lincei), Giovanni Lilliu tra cultura e territorio
Feature extraction using combination of intrinsic mode functions and power spectrum for EEG signal classification

The measurement of brain electrical activity recorded as EEG signals finds most application in epilepsy. EEG waveforms carry information about the underlying neural system dynamics and show different features amongst epilepsy syndromes. In this research, empirical mode decomposition (EMD) and power spectrum were employed to extract the features from EEG dataset of healthy participants, and epilepsy patients with seizure and seizure free conditions. The recorded EEG signals are represented by 500 signal segments from 5 sets of different conditions. The sum of Intrinsic Mode Function (IMF) power spectrum components gave 10 features for 50 components, and 20 features for 25 components, which were used as the classification inputs for artificial neural networks and random forest classifiers. The classifications were carried out for 3, 4, and 5 classes. From the experiments, the highest average accuracy was obtained for 3 classes using 20 features of power spectrum from the sum of 6 IMFs. For use of 6 IMFs, the accuracies had the maximum values of 92.4%, 90.4%, and 78.6% for 3, 4, and 5 classes respectively. It also improved the accuracy significantly for 5 classes.
Obstacle Avoiding Delay Equalization for Rectilinear Clock Tree Routing based on a Game Theoretic Approach

Clock skew minimization plays an important role in VLSI interconnect design to assure enhanced performance of a chip. In this paper, we propose an Obstacle avoiding Rectilinear Clock tree construction algorithm. IP blocks, transistor cells, elongated wires, and redundant vias present on-chip are treated as obstacles, and cause extra delay around their boundaries while performing routing. Our proposed algorithm focuses on delay equalization at all the sink terminals from the source, avoiding obstacle edges. Delay equalization problem is formulated in a non cooperative game theoretic framework, where all the sink terminals are treated as players. The proposed method is maneuvered as follows. (1) Initially, the entire layout is divided into smaller rectangular or square subzones, called tiles, containing subset of sink terminals. (2) Next, center of masses (CMs) of the tiles are treated as individual players to play several strategies. Delay equalization is done in each CM sequentially by playing the set of predefined strategies. Delay difference or clock skew is treated as the payoff matrix, which it optimized/minimized in several iteration of the play. Nash equilibrium is also achieved by optimizing the payoff matrix. (3) Finally, the game is played in each tile to find out Nash equilibrium, where the sinks belonging to each tile are treated as the players during local game playing. This two stage process of global delay equalization at CMs, followed by local optimization leads to clock skew minimization in all the sink terminals from the source terminal. We adopt Elmore delay formula to calculate delay of a routing path, considering the resistive (R) and capacitive (C) effects of a wire. Proposed algorithm is run on some recent benchmark suits, and experimental results are quite encouraging.
Learning Semantic Parsers Using Statistical Syntactic Parsing Techniques

Most recent work on semantic analysis of natural language has focused on “shallow” semantics such as word-sense disambiguation and semantic role labeling. Our work addresses a more ambitious task we call semantic parsing where natural language sentences are mapped to complete formal meaning representations. We present our system SCISSOR based on a statistical parser that generates a semanticallyaugmented parse tree (SAPT), in which each internal node has both a syntactic and semantic label. A compositional-semantics procedure is then used to map the augmented parse tree into a final meaning representation. Training the system requires sentences annotated with augmented parse trees. We evaluate the system in two domains, a natural-language database interface and an interpreter for coaching instructions in robotic soccer. We present experimental results demonstrating that SCISSOR produces more accurate semantic representations than several previous approaches on long sentences. In the future, we intend to pursue several directions in developing more accurate semantic parsing algorithms and automating the annotation process. This work will involve exploring alternative tree representations for better generalization in parsing. We also plan to apply discriminative reranking methods to semantic parsing, which allows exploring arbitrary, potentially correlated features not usable by the baseline learner. We also propose to design a method for automating the SAPT-generation process to alleviate the extra annotation work currently required for training SCISSOR. Finally, we will investigate the impact of different statistical syntactic parsers on semantic parsing using the automated SAPT-generation process.
An approach of IR-Based short-range correspondence systems for swarm robot balanced requisitions and communications

This paper exhibits a short-run correspondence method appropriate for swarm versatile robots application. Infrared is utilized for transmitting and accepting information and obstruction location. The infrared correspondence code based swarm signaling is utilized for an independent versatile robot communication system in this research. A code based signaling system is developed for transmitting information between different entities of robot. The reflected infrared sign is additionally utilized for separation estimation for obstruction evasion. Investigation of robot demonstrates the possibility of utilizing infrared signs to get a solid nearby correspondence between swarm portable robots. This paper exhibits a basic decentralized control for swarm of self-collecting robots. Every robot in the code based swarm signaling is completely self-governing and controlled utilizing a conduct based methodology with just infrared-based nearby detecting and correspondences. The viability of the methodology has been checked with simulation, for a set of swarm robots.
A 15/spl times/15 mm, 1 /spl mu/A, reliable sensor-net module: enabling application-specific nodes

An ultra-small, low-power sensor-net module called ZN1 is developed. ZN1 integrates MCU, ZigBee RF into an ultra-small 15times15-mm module with an ultra-low standby current less than 1 muA. The and highly reliable operation for more than 15 years of the ZN1 enable low-cost practical application-specific sensor nodes for HVAC, structure monitoring, office management, security, medicine, and healthcare. We describe architecture and technologies for developing the ZN1 module. Moreover, we demonstrate two applications that we developed simultaneously: food sanitation and home healthcare. We also show results of the ZN1 module evaluation and discuss reliability of the ZN1
OWL ontologies as a resource for discourse parsing

In the project SemDok (Generic document structures in linearly organised texts) funded by the German Research Foundation DFG, a discourse parser for a complex type (scientific articles by example), is being developed. Discourse parsing (henceforth DP) according to the Rhetorical Structure Theory (RST) (Mann and Taboada, 2005; Marcu, 2000) deals with automatically assigning a text a tree structure in which discourse segments and rhetorical relations between them are marked, such as Concession. For identifying the combinable segments, declarative rules are employed, which describe linguistic and structural cues and constraints about possible combinations by referring to different XML annotation layers of the input text, and external knowledge bases such as a discourse marker lexicon, a lexico-semantic ontology (later to be combined with a domain ontology), and an ontology of rhetorical relations. In our text-technological environment, the obvious choice of formalism to represent such ontologies is OWL (Smith et al., 2004). In this paper, we describe two OWL ontologies and how they are consulted from the discourse parser to solve certain tasks within DP. The first ontology is a taxononomy of rhetorical relations which was developed in the project. The second one is an OWL version of GermaNet, the model of which we designed together with our project partners.
Forecasting Model for Crude Oil Price Using Artificial Neural Networks and Commodity Futures Prices

This paper presents a model based on multilayer feedforward neural network to forecast crude oil spot price direction in the short-term, up to three days ahead. A great deal of attention was paid on finding the optimal ANN model structure. In addition, several methods of data pre-processing were tested. Our approach is to create a benchmark based on lagged value of pre-processed spot price, then add pre-processed futures prices for 1, 2, 3,and four months to maturity, one by one and also altogether. The results on the benchmark suggest that a dynamic model of 13 lags is the optimal to forecast spot price direction for the short-term. Further, the forecast accuracy of the direction of the market was 78%, 66%, and 53% for one, two, and three days in future conclusively. For all the experiments, that include futures data as an input, the results show that on the short-term, futures prices do hold new information on the spot price direction. The results obtained will generate comprehensive understanding of the crude oil dynamic which help investors and individuals for risk managements.
Simple but Effective Approaches to Improving Tree-to-tree Model

Tree-to-tree translation model is widely studied in statistical machine translation (SMT) and is believed to be much potential to achieve promising translation quality. However, the existing models still suffer from the unsatisfactory performance due to the limitations both in rule extraction and decoding procedure. According to our analysis and experiments, we have found that tree-to-tree model is severely hampered by several rigid syntactic constraints: the both-side subtree constraint in rule extraction, the node constraint and the exact matching constraint in decoding. In this paper we propose two simple but effective approaches to overcome the constraints: utilizing fuzzy matching and category translating to integrate bilingual phrases and using head-out binarization to binarize the bilingual parsing trees. Our experiments show that the proposed approaches can significantly improve the performance of tree-to-tree system and outperform the state-of-the-art phrase-based system Moses.
2 4 A ug 2 00 6 Generalized Friedland-Tverberg inequality : applications and extensions

We derive here the Friedland-Tverberg inequality for positive hyperbolic polynomials. This inequality is applied to give lower bounds for the number of matchings in r-regular bipartite graphs. It is shown that some of these bounds are asymptotically sharp. We improve the known lower bound for the three dimensional monomer-dimer entropy. We present Ryser-like formulas for computations of matchings in bipartite and general graphs. Additional algorithmic applications are given. 2000 Mathematics Subject Classification: 05A15, 05A16, 05C70, 05C80, 82B20
Android Malware Detection: Building Useful Representations

The problem of proactively detecting Android Malware has proven to be a challenging one. The challenges stem from a variety of issues, but recent literature has shown that this task is hard to solve with high accuracy when only a restricted set of features, like permissions or similar fixed sets of features, are used. The opposite approach of including all available features is also problematic, as it causes the features space to grow beyond reasonable size. In this paper we focus on finding an efficient way to select a representative feature space, preserving its discriminative power on unseen data. We go beyond traditional approaches like Principal Component Analysis, which is too heavy for large-scale problems with millions of features. In particular we show that many feature groups that can be extracted from Android application packages, like features extracted from the manifest file or strings extracted from the Dalvik Executable (DEX), should be filtered and used in classification separately. Our proposed dimensionality reduction scheme is applied to each group separately and consists of raw string preprocessing, feature selection via log-odds and finally applying random projections. With the size of the feature space growing exponentially as a function of the training set's size, our approach drastically decreases the size of the feature space of several orders of magnitude, this in turn allows accurate classification to become possible in a real world scenario. After reducing the dimensionality we use the feature groups in a light-weight ensemble of logistic classifiers. We evaluated the proposed classification scheme on real malware data provided by the antivirus vendor and achieved state-of-the-art 88.24% true positive and reasonably low 0.04% false positive rates with a significantly compressed feature space on a balanced test set of 10,000 samples.
Measuring international reference-cycles

Using the methodology developed in Stock and Watson (2002a), this paper offers a proposal for measuring the commom component of international economic fluctuations and for identifying the countries sharing this behavior. The proposal allows us to use the weight of the correlations of each country in relation to the factor as a criterion of belonging to the cycle. We have applied this proposal to a large sample of countries and find evidence for an international business cycle which includes a group of advanced countries in different regions of the world.
A revisit of the unique polar representation of the Vector-valued Hyperanalytic Signal

In this paper, we extend the classic analytic signal to the Vector-valued Hyperanalytic Signal (VHaS) that is denoted to distinguish from the multivariate hypercomplex data. The 2d-Dimensional (2d-D) VHaS, S(t) : [0,1] → C<sub>2d</sub>, is defined by a complexification of two d-D Vector-valued Hypercomplex Signals (VHcS), S(t) := G(t)e<sub>0</sub> + H<sup>C2d</sup><sub>ed</sub>[G](t) e<sub>d</sub>, where H<sup>C2d</sup><sub>ed</sub> and e<sub>i</sub> represent the Hilbert transform and the i<sub>th</sub> unit axis, and G(t) ϵ C<sub>d</sub>, e<sub>i</sub> G C<sub>2d</sub>. Inspired by the unique polar form of a classic analytic signal and the one of a 4-D VHaS proposed in the work of Huang and Kunoth (2014), we provide a theoretical explanation of the unique polar representation of a 6-D or 8-D VHaS by replacing the quaternion with octonion, which further implies the possible extension for d-D VHaS with d> 8. Moreover, the derived continuous VHcS envelope and phase from the polar form lead to a unified definition of the time-frequency-amplitude spectrum of the given VHcS G(t).
Takagi Sugeno Fuzzy Model Based Controller Design of Cart-Ball System

— This paper presents the results of a fuzzy model based controller design via PDC type Takagi-Sugeno (T-S) of cart-ball system. The control aim is to balance the ball at arc center position at any given position of the cart. A fuzzy model based controller is designed based on T-S fuzzy controller via parallel distribution control (PDC) to achieve the control objective. The nonlinear mathematical model for the cart-ball system in this paper is represents by T-S fuzzy models and using PDC type controller as the control law. Based on fuzzy Lyapunov function approach, the stability condition of open loop fuzzy system and the stabilization of closed loop fuzzy system are obtained by solving a set linear matrix inequalities (LMIs). The effectiveness and the feasibility of the PDC type Takagi-Sugeno (T-S) fuzzy control is demonstrated and studied using MATLAB/Simulink software.
Progesterone and testosterone in combination act in the hypothalamus of castrated rams to regulate the secretion of LH.

We tested the hypotheses that progesterone enhances the negative feedback actions of testosterone in rams and that this occurs through actions at the hypothalamus. In the first part of this study, blood samples were collected every 10 min for 12 h before and after 7 days of treatment (i.m.) of castrated Romney Marsh rams (n=5 per group) with vehicle, progesterone (4 mg/12 h), testosterone (4 mg/12 h) or a combination of progesterone (4 mg/12 h) and testosterone (4 mg/12 h). In the second part of this study the brains of four gonad-intact Romney Marsh rams were collected, the hypothalamus was sectioned and in situ hybridisation of mRNA for progesterone receptors conducted. After 7 days of treatment with vehicle or progesterone or testosterone alone, there were no changes in the secretion of LH. In contrast, treatment with a combination of progesterone and testosterone resulted in a significant (P<0.01, repeated measures ANOVA) decrease in mean plasma concentrations of LH, the number of LH pulses per hour and the pre-LH pulse nadir and a significant (P<0.01) increase in the inter-LH pulse interval. We found cells containing mRNA for progesterone receptors throughout the hypothalamus, including the preoptic area (where most GnRH neurons are located in sheep), the periventricular, ventromedial and arcuate nuclei and the bed nucleus of the stria terminalis. This study shows that progesterone is capable of acting centrally with testosterone to suppress the secretion of LH in castrated rams and that cells containing mRNA for progesterone receptors are located in the hypothalamus of rams in the vicinity of GnRH neurons.
Future-oriented people show stronger moral concerns

Previous research has shown that moral concerns weigh more heavily when people areexperimentally induced to think about the distant vs. near future. The current researchdemonstrates that this also applies to people whose thinking is intrinsically and generallyoriented toward the future rather than the present. More specifically, we show that people with afuture time perspective are more condemning of others who transgress ethical rules and that theyare more committed to follow ethical rules themselves. Theoretical and practical implications are discussed.
Assembling International Development Through Capture: The Management and Accounting Control of Non-Governmental Organizations (NGOs)

This study explores the management and accounting requirements that international development Non-governmental organizations (NGOs) adopt to be eligible for grants. More specifically, based on interviews conducted with state funding agencies, international NGOs, and Guatemalan and El Salvadorian NGOs and analysis of their reports to funding agencies, the article describes funding requirements and explores how they are implicated in the transformation of the social justice movement assemblage: components of which are technically and administratively rearticulated as components of the international development assemblage. This transformation is explained through Deleuze and Guattari’s (1987) ‘state-form’: a mode of governing whereby “state apparatus of capture” hierarchically stratifies an assemblage by enrolling components of the social movement (territorialisation), arranging them through homogenizing administrative categories (coding), and enabling an emergent functional totality (overcoding) that has had the effect of, what some interviewees referred to as, ‘disarticulating the social movement. ’ There is however contestation, as strategies are employed by NGOs to leak financial and political resources to organizations that would otherwise not be eligible for funding. This study seeks to extend the work that has critically examined the role of NGOs in the social justice movement and the role of state modes of governance in this process. It emphasizes the impact of management and accounting controls on the constitution and transformation of assemblages and NGOs’ advocacy and mission.
Random walks estimate land value

Expected urban population doubling calls for a compelling theory of the city. Random walks and diffusions defined on spatial city graphs spot hidden areas of geographical isolation in the urban landscape going downhill. First--passage time to a place correlates with assessed value of land in that. The method accounting the average number of random turns at junctions on the way to reach any particular place in the city from various starting points could be used to identify isolated neighborhoods in big cities with a complex web of roads, walkways and public transport systems.
Bracket Producing Rows and Columns of the Dixon Determinant

The Dixon resultant for a bivariate polynomial system has many interesting properties. When the unmixed canonical bidegree monomial support of the polynomial system undergoes corner cutting, some monomial points become distinguished by being exposed. When a corner has exactly three exposed monomial points, certain rows and columns of the Dixon matrix, called almost-exposed rows and columns, produce a factor which is a power of the bracket corresponding to the three exposed points. The power is determined by the relative positions of these three exposed points. This observation is very useful when constructing quotient Dixon resultants
Using transparent props for interaction with the virtual table

The Virtual Table presents stereoscopic graphics to a user in a workbench-like setting. This paper reports on a user interface and new interaction techniques for the Virtual Table based on transparent props—a tracked hand-held pen and a pad. These props, but in particular the pad, are augmented with 3D graphics from the Virtual Table’s display. This configuration creates a very powerful and flexible interface for two-handed interaction that can be applied to other back-projected stereographic displays as well: the pad can serve as a palette for tools and controls as well as a window-like see-through interface, a plane-shaped and throughthe-plane tool, supporting a variety of new interaction techniques.
Dominance Over N

This paper provides an overview of the b-dominance order over the natural numbers, N, using the base b expansion of natural numbers. The b-dominance order is an accessible partially-ordered set that is less complex than the divisor relation but more complex than ≤; thus, it supplies a good medium through which an undergraduate can be exposed to the subject of order theory. Here we discuss many ideas in order theory, including the Poincaré polynomial and the Möbius function. Acknowledgements: The authors thank the M.J. Murdock Charitable Trust and the Pacific Lutheran University Division of Natural Sciences for their generous support. They would also like to extend their thanks to Dr. Tom Edgar for the project idea and all his help throughout their summer program. Page 24 RHIT Undergrad. Math. J., Vol. 14, no. 2