Miracle-dz/UniFAR-FTUs huggingface dataset:
Power Assignment Problems in Wireless Communication

A fundamental class of problems in wireless communication is concerned with the assignment of suitable transmission powers to wireless devices/stations such that the resulting communication graph satisfies certain desired properties and the overall energy consumed is minimized. Many concrete communication tasks in a wireless network like broadcast, multicast, point-to-point routing, creation of a communication backbone, etc. can be regarded as such a power assignment problem. This paper considers several problems of that kind; for example one problem studied before in \cite{Carrots, Bilo} aims to select and assign powers to $k$ of the stations such that all other stations are within reach of at least one of the selected stations. We improve the running time for obtaining a $(1+\epsilon)$-approximate solution for this problem from $n^{((\alpha/\epsilon)^{O(d)})}$ as reported by Bilo et al. (\cite{Bilo}) to $O(n+ {(\frac{k^{2d+1}}{\epsilon^d})}^{\min{\{2k, (\alpha/\epsilon)^{O(d)} \}}})$ that is, we obtain a running time that is \emph{linear} in the network size. Further results include a constant approximation algorithm for the TSP problem under squared (non-metric! ) edge costs, which can be employed to implement a novel data aggregation protocol, as well as efficient schemes to perform $k$-hop multicasts.
Biomedical ontologies: a functional perspective

The information explosion in biology makes it difficult for researchers to stay abreast of current biomedical knowledge and to make sense of the massive amounts of online information. Ontologies--specifications of the entities, their attributes and relationships among the entities in a domain of discourse--are increasingly enabling biomedical researchers to accomplish these tasks. In fact, bio-ontologies are beginning to proliferate in step with accruing biological data. The myriad of ontologies being created enables researchers not only to solve some of the problems in handling the data explosion but also introduces new challenges. One of the key difficulties in realizing the full potential of ontologies in biomedical research is the isolation of various communities involved: some workers spend their career developing ontologies and ontology-related tools, while few researchers (biologists and physicians) know how ontologies can accelerate their research. The objective of this review is to give an overview of biomedical ontology in practical terms by providing a functional perspective--describing how bio-ontologies can and are being used. As biomedical scientists begin to recognize the many different ways ontologies enable biomedical research, they will drive the emergence of new computer applications that will help them exploit the wealth of research data now at their fingertips.
Bayesian sufficient statistics and invariance

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Robust Image Analysis of Faces for Genetic Applications

This paper is devoted to automatic localization of objects (eyes, mouth) in two- dimensional (2D) grey scale images of faces. Motivated by a practical problem in human genetics, the output of the localization of objects in the given database of images is needed for further tasks in the genetic research. Arobust filter is applied on the image to ensure denoising. Templates are used as the main method. The mouth and both eyes are localized jointly using the weighted Pearson product-moment correlation coefficient or its robust analogy based on robust regression methods. In the database with 212 images of faces the method allows to locate the mouth and eyes correctly in 100 % of cases. Also the robust correlation coefficient based on the least weighted squares regression localizes the mouth and both eyes in 100 % of images of the given database. Robustness aspects of the method are examined with respect to rotation, noise, occlusion and asymmetry in the image. The joint localization of the mouth and both eyes produces the method invariant to rotation of any degree. This work is tailor made for the given images with expected usage of the methods in genetic applications.
CYBERHATE ON SOCIAL MEDIA IN THE AFTERMATH OF WOOLWICH: A CASE STUDY IN COMPUTATIONAL CRIMINOLOGY AND BIG DATA

This paper presents the fi rst criminological analysis of an online social reaction to a crime event of national signi fi cance, in particular the detection and propagation of cyberhate on social media following a terrorist attack. We take the Woolwich, London terrorist attack in 2013 as our event of interest and draw on Cohen’s process of warning, impact, inventory and reaction to delineate a sequence of incidents that come to constitute a series of deviant responses following the attack. This paper adds to contemporary debates in criminology and the study of hate crime in three ways: (1) it provides the fi rst analysis of the escalation, duration, diffusion and de-escalation of cyberhate in social media following a terrorist event; (2) it applies Cohen’s work on action, reaction and ampli fi cation and the role of the traditional media to the online context and (3) it introduces and provides a case study in ‘computational criminology’.
Two Topics in Astrophysics: Exoplanetary Gravitational Microlensing and Radio Interferometry

My project naturally divides itself into two parts, both aiming to increase our understanding of the sky by gleaning information about objects that surround our Earth. The first section explores gravitational microlensing as an exploration technique for exoplanets. When a massive object passes in front of a distant star, the light emanating from the star is shifted due to the gravity of the massive object. This shift of light is observed as a momentary spike in the brightness of the distant star and is called a microlensing event. While monitoring the brightness in time of a distant star, a microlensing event is occasionally observed. The nature of the spike can give insight into the lensing mass. I am specifically interested in identifying when planets outside of our solar system, exoplanets, act as gravitational lenses. I have modeled magnification in time graphs, also known as light-curves, indicative of different categories of exoplanetary microlensing events. The varieties I have modeled include single lens, binary lens, and triple lens configurations and also finite source effects. In conjunction, I constructed a 20-foot radio interferometer designed to measure the diameter of the Sun. An interferometer system is used to efficiently increase the collection area of an antenna. The structure consists of a 20-foot ladder mounted on a plywood structure that facilitates latitudinal and azimuthal movement. Once the 1013 GHz radio signal has been collected and directed onto an antenna, the electronic equipment displays the signal as a direct current.
An exploratory study on the teaching of evidence-based decision making

Background: There is no clear guideline on how to teach students evidence-based decision making (EBDM), so this study aimed to assess the impact of an educational intervention on students’ EBDM skills. Methods: This was an explorative mixed-method study of 12 undergraduate occupational therapy students and their teacher. The teaching was aimed at increasing self-efficacy and cognitive skills in EBDM. Semi-structured interviews were conducted to gather the students’ perceived learning benefits. Before and after the intervention, a self-efficacy questionnaire, a critical thinking test, and scored generic cognitive skills in an argument were used as measures of learning achievements. Content analysis was applied to analyze the interview data. To analyze the quantitative data, the Wilcoxon signed rank test was applied. Results: Following the five teaching sessions, the participants’ experienced (a) an understanding of the value and challenges in individually tailored EBDM, (b) the ability to sort and select information, (c) being more cautious in reasoning and reaching conclusions, and (d) better interaction with clients. These categories were supported by significant increases in measures of self-efficacy and cognitive skills used in EBDM. Active, guided education and working with real clients were reported as powerful stimuli for learning. Conclusion: Critical thinking exercises used in authentic health professional evidence-based decisions are promising methods for promoting EBDM.
Impact of Transformational Leadership on Safety Culture

Introduction One of the key leadership approaches adopted by many leaders to influence subordinates’ safety behaviour is to use reward and punishment systems. This is known as transactional leadership (Northouse 2016). In contrast, transformational leadership style “evokes changes in subordinates' value systems to align them with organizational goals” (Clarke 2013) and numerous studies had shown that it has positive effects on the safety behaviour and safety participation of subordinates. This presentation will highlight how leaders can adopt transformational leadership style so as to engender positive safety culture in their workplace.
Mass Imbalance Compensation Control for Stabilized Platform Based on UKF Identification

Due to the mass imbalance about the center of rotation, the stability of stabilized platform system degrades with carrier’s disturbances. Various feed-forward control methods are provided by reaserchers to solve this problem, however these methods are not well applied because the eccentricity of stabilized platform could not be measured directly. The dynamics model of a typical 2-axis stabilized platform is given. The eccentricity vector is identified through Unscented Kalman Filter(UKF) algorithm. Imbalance torque is precisely observed so that the real-time nonlinear compensation for mass imbalance is achieved through a feed-forward loop. The simulation result indicates that the Root Mean Squared Error (RMSE) of parameters estimation is 0.024 after convergence. the LOS stabilization with carrier’s 2.5Hz vibration is 0.04 rad/s, which improves 78% compared to conventional feed-back control.
Dynamics of Output Growth , Consumption and Physical Capital in Two-Sector Models of Endogenous Growth by

Entry is recognized to be an important issue in macro models considering imperfectly competitive markets. However, two lines of research have been kept apart: the homogeneous-product oligopoly approach, where entry means more firms in the industry, and the monopolistic competition approach, where it means more brands. Our model tries to go beyond these limitations, considering a small open economy within a monetary union (characterised by a fixed exchange rate and perfect financial capital mobility). In this economy each industry produces a differentiated non-tradable good and is composed several Cournot competitors. Competition works at both the intraindustry and sector level. Decisions on both taxes and government expenditure are taken by the economy's government, i.e., fiscal policy is decentralised within the monetary union. Since the model generates multiple equilibria, three types of entry are considered: more firms (I), more industries (II), and a combination of both (III). Fiscal policy is shown to be effective on aggregate output under the three cases. Its effect on welfare is mainly walrasian in case II, but it can be keynesian when market power is high in cases I or III. Work in progress. Comments and suggestions are welcome. In this article we extend the intertemporal general equilibrium two-sector model for a small open economy, previously developed in Costa (1988). Product differentiation is introduced in the non-tradable good sector, where large firms compete over quantities. The exchange rate is fixed and financial capital is perfectly mobile. We study the macroeconomic effects of fiscal policy considering three different types of entry: new firms per industry, new industries, and a combination of both. A welfare analysis is also produced.
The association between sleep duration and physical performance in Chinese community-dwelling elderly

Background Physical performance is an important healthy factor in elder people. Good living habits, which include sleep, can maintain physical strength and physical performance. The aim of the present study was to conduct a cross-sectional study to determine the association between total sleep duration and physical performance. Methods Our study population comprised residents of the township central hospital in the suburban of Tianjin, China. We measured muscle strength, walk speed and balance function by grip, 4-m walk test and timed up and go test (TUGT). We divided sleep duration into four groups <7h, 7-8h, >8-9h, >9h. Results A total 898 participants had completed data (392 men and 506 women, mean age 67.71 years). In man, adjusted sleep duration was associated with lower grip in > 9 h group, the mean value (95% CI) was 0.429 (0.409, 0.448), and longer TUGT time was also associated with long sleep duration, 10.46s (9.97 s, 10.95 s). In women, adjusted slower 4-m walk speed present an inverse U-shaped relation with sleep duration, by 0.93 m/s (0.86 m/s, 0.98 m/s), 0.97 m/s (0.96 m/s, 1.00 m/s), 0.97 m/s (0.95 m/s, 0.99 m/s) and 0.92 m/s (0.89 m/s, 0.96 m/s); longer TUGT time were associated with long sleep duration (> 9 h), by 11.23 s (10.70 s, 11.77 s). Conclusion In Chinese community-dwelling elderly, lower muscle strength and lower balance function were associated with long sleep duration in men. Slower walk speed and lower balance function were associated with long sleep duration in women.
Inhaled Corticosteroids

Inhaled corticosteroids (ICS) are the most effective controllers of asthma. They suppress inflammation mainly by switching off multiple activated inflammatory genes through reversing histone acetylation via the recruitment of histone deacetylase 2 (HDAC2). Through suppression of airway inflammation ICS reduce airway hyperresponsiveness and control asthma symptoms. ICS are now first-line therapy for all patients with persistent asthma, controlling asthma symptoms and preventing exacerbations. Inhaled long-acting β2-agonists added to ICS further improve asthma control and are commonly given as combination inhalers, which improve compliance and control asthma at lower doses of corticosteroids. By contrast, ICS provide much less clinical benefit in COPD and the inflammation is resistant to the action of corticosteroids. This appears to be due to a reduction in HDAC2 activity and expression as a result of oxidative stress. ICS are added to bronchodilators in patients with severe COPD to reduce exacerbations. ICS, which are absorbed from the lungs into the systemic circulation, have negligible systemic side effects at the doses most patients require, although the high doses used in COPD has some systemic side effects and increases the risk of developing pneumonia.
A Secured Cloud System based on Log Analysis

Now-a-days, enterprises’ acceptance over the Cloud is increasing but businesses are now finding issues related to security. Everyday, users store a large amount of data in the Cloud and user input may be malicious. Therefore, security has become the critical feature in the applications stored in the Cloud. Though there are many existing systems which provide us different encryption algorithms and security methods, there is still a possibility of attacks to applications and increasing data modifications. The idea behind this project is to find attacks and protect the applications stored in the Cloud using log analysis. The proposed solution detects the SQL injection attack, which is supposed to be the most critical security risk of vulnerable applications. The goal of this research is to detect the SQL injection attacks for an application stored in the Cloud by analyzing the logs. To achieve this, the proposed system automates the intrusion detection process for an application by performing log analysis. Log Analysis is performed by combining the implementation of two different methodologies called learn and detect methodology and pattern recognition system. The accuracy of SQL injections detected on log data is dependent on the order in which these two methodologies are applied. The outcome after applying these two methodologies results in information which helps a security analyst to understand and know the root cause of every attack that is detected on an application.
Time-Data Tradeoffs in Structured Signals Recovery via the Proximal-Gradient Homotopy Method

In this paper, we characterize data-time tradeoffs of the proximal-gradient homotopy method used for solving linear inverse problems under sub-Gaussian measurements. Our results are sharp up to an absolute constant factor. We demonstrate that, in the absence of the strong convexity assumption, the proximal-gradient homotopy update can achieve a linear rate of convergence when the number of measurements is sufficiently large. Numerical simulations are provided to verify our theoretical results.
On reachable set estimation of two‐dimensional systems described by the Roesser model with time‐varying delays

In this paper, the problem of reachable set estimation of two‐dimensional (2‐D) discrete‐time systems described by the Roesser model with interval time‐varying delays is considered for the first time. New 2‐D weighted summation inequalities, which provide a tighter lower bound than the commonly used Jensen summation inequality, are proposed. Based on the Lyapunov‐Krasovskii functional approach, and by using the 2‐D weighted summation inequalities presented in this paper, new delay‐dependent conditions are derived to ensure the existence of an ellipsoid that bounds the system states in the presence of bounded disturbances. The derived conditions are expressed in terms of linear matrix inequalities, which can be solved by various computational tools to determine a smallest possible ellipsoidal bound. Applications to exponential stability analysis of 2‐D systems with delays are also presented. The effectiveness of the obtained results are illustrated by numerical examples.
Manejo anestésico en paciente politraumatizado con corazón univentricular y síndrome de Eisenmenger secundario

We present the case of a 26 year old polytrauma patient with a left intra-articular distal radial fracture, with an uncorrected late univentricular heart with severe pulmonary hypertension, subsequent Eisenmenger syndrome and supraventricular tachycardia managed with metoprolol. We find this case particularly interesting given the need for osteosynthesis with the obstacle of a non-palliated congenital heart disease in an adult; whose anesthetic implications required particular considerations in order to avoid fatal outcomes in the perioperative setting. Ultimately the pa - tient underwent regional anesthesia with careful hemodynamics monitoring, leading to a satisfactory outcome
Synthesis, characterization, E/Z-isomerization, DFT, optical and 1BNA docking of new Schiff base derived from naphthalene-2-sulfonohydrazide

The novel N'-((1H-indol-2-yl)methylene)naphthalene-2-sulfono-hydrazide Schiff base (S.B) ligand was produced via condensation of 1H-indole-2-carbaldehyde with naphthalene-2-sulfonylhydrazide in a high yield. S.B. was then examined using several physicochemical techniques, and the steric structure was consequently confirmed. The highest B3LYB/DFT level theory was used to optimize the 3D E/Z-isomers structure. The stereoisomers computation demonstrated slightly stable E isomers outperformed by Z-one. The ligand displayed decent photosynthetic mid-bandgap semiconductors optical activate range material, and both the E and Z isomers bound to 1BNA DNA recorded many interactions.
Parameter identification for short fiber‐reinforced plastics using optimal experimental design

This article is concerned with the identification of stiffness parameters for short fiber‐reinforced plastic materials, produced by injection molding and modeled by an orientation averaged transversely isotropic material law. Experiments are carried out in the form of computer simulations for a representative volume element of the material. The goal is to robustly identify the parameters with the fewest number of representative volume element simulations and such that the macroscopic model response attains a minimal variance for arbitrary strains and fiber orientations. Our approach carries over to problems involving anisotropic viscosity, thermal expansion and conductivity, and structurally similar problems. Copyright © 2016 John Wiley & Sons, Ltd.
Measurement of the Prompt J/Psi Pair Production Cross Section in pp Collisions at sqrt(s) = 8 TeV with CMS

The cross section for the prompt production of J/ψ [J/Psi] meson pairs in proton-proton collisions at √ s[sqrt(s)] = 8 TeV at the LHC from a sample corresponding to an integrated luminosity of 20.2±0.5 fb−1 [inverse femtobarns] has been measured with the CMS detector. It provides unique insight into particle production and proton structure in proton-proton (pp) collisions. The two J/ψ mesons are fully reconstructed in their μ+μ−[mu+ mu-] decay. An acceptance region is defined by the individual J/ψ transverse momentum p J/ψ T [J/Psi pT] and rapidity |y| [J/Psi Rapidity]. The total fiducial cross section assuming unpolarized prompt J/ψ pair production is found to be σfid = 195.7 ± 11.1 (stat) ± 22.1 (syst) ± 5.1 (lumi) ± 2.3 (BF ) pb. The differential cross sections for prompt J/ψ pair production within this acceptance region are measured in eight event variables. Most predictions for particle production in pp collisions at the LHC assume dominance of single parton (gluon, quark) interactions (SPS) at the leading order perturbation theory. This assumption is tested with the final state measured in this analysis. Significant contributions from next-to-leading order processes and double parton scattering (DPS) are observed. In addition, the single J/ψ production cross section is estimated from theory and measured with pp collision data. Single J/ψ production is compared to the pair production via DPS and quantified via an effective cross section. This quantity is further compared to several particle pair production processes. In particular, the J/ψ pair production probes the contributions of gluons. All particle production measurements with CMS depend on the precise knowledge of the LHC luminosity. A detector, the Pixel Luminosity Telescope, based on solid state technology is used to count charged particle tracks from pp collisions, a measure of the instantaneous