bluuebunny/crossref_metadata_2025 huggingface dataset:
ARNALDO CÓRDOVA Y EL ESTUDIO SOBRE LA POLÍTICA MEXICANA
Authors: Gallegos Cruz Cristhian
Published: June 2019

El presente trabajo intenta ofrecer una aproximación a la originalidad del pensamiento político de Arnaldo Córdova centrando su atención en la reflexión teórico-histórica que realizó sobre el poder político y la política mexicana en la década de los setenta. Desde una lectura gramsciana, Córdova intenta develar los elementos que forman parte del poder político pues, en su consideración, no se trata de una supremacía dada por la economía sino la disputa por establecer ámbitos de dominación que no necesariamente pasan por la competencia entre partidos políticos por acceder al poder, sino que está compuesta por otra cara, la ideología, cuya influencia a veces es más grande que la misma fuerza.
PLURALISMO IDEOLÓGICO, PUEBLO Y DEMOCRACIA EN EL PENSAMIENTO DE PABLO GONZÁLEZ CASANOVA
Authors: Torres Guillen Jaime
Published: June 2019

El ensayo presenta el análisis político de la noción de democracia de Pablo González Casanova a partir de dos conceptos clave en su itinerario intelectual, a saber: pluralismo ideológico y pueblo. Se trata de mostrar la manera ecuménica en que González Casanova interpreta la idea de democracia en México y América Latina a partir de las acciones de los actores del continente, con lo cual esboza una teoría política de la democracia que a mi manera de ver, desde nuestra perspectiva supera las versiones europeas y angloamericanas sobre la ciudadanía y la sociedad civil.
JÓVENES EXCÉNTRICAS: CUERPO, MUJER Y ROCK EN TIJUANA
Authors: Focke Mariana
Published: June 2019

Merarit Viera presenta Jóvenes Excéntricas: Cuerpo, Mujer y Rock en Tijuana (2015), editado por la Casa Abismos y el Seminario de Investigación de Juventud de la UNAM. Este libro se afianza bajo una escritura feminista, desde la crítica de género...
Pure and mixed ordered monolayers of tetracyano-2,6-naphthoquinodimethane and hexathiapentacene on the Ag(100) surface
Authors: Harbers Robert , Heepenstrick Timo , Perepichka Dmitrii F , Sokolowski Moritz
Published: June 2019

We report on mixed ordered monolayers of the electron acceptor-type molecule tetracyano-2,6-naphthoquinodimethane (TNAP) and the electron donor-type molecule hexathiapentacene (HTPEN). This investigation was motivated by the general question which type of mixed stoichiometric structures are formed on a surface by molecules that are otherwise typically used for the synthesis of bulk charge-transfer materials. The layers were obtained by vacuum deposition on the Ag(100) surface and analyzed by low-energy electron diffraction (LEED) and scanning tunneling microscopy (STM). The formation of the mixed structure occurs spontaneously. An important motif for the structure formation is given by hydrogen bonds between the TNAP molecules. Both molecules, TNAP and HTPEN also form well-ordered monolayers on the Ag(100) surface on their own. In all structures, the molecules are adsorbed in a planar orientation on the surface. We discuss the influence of intermolecular charge transfer on the ordering in the mixed structure.
Fusarium incarnatum-equiseti complex from China
Authors: Wang M.M. , Chen Q. , Diao Y.Z. , Duan W.J. , Cai L.
Published: June 2019

The Fusarium incarnatum-equiseti species complex (FIESC) is shown to encompass 33 phylogenetic species, across a wide range of habitats/hosts around the world. Here, 77 pathogenic and endophytic FIESC strains collected from China were studied to investigate the phylogenetic relationships
within FIESC, based on a polyphasic approach combining morphological characters, multi-locus phylogeny and distribution patterns. The importance of standardised cultural methods to the identification and classification of taxa in the FIESC is highlighted. Morphological features of macroconidia,
including the shape, size and septum number, were considered as diagnostic characters within the FIESC. A multi-locus dataset encompassing the 5.8S nuclear ribosomal gene with the two flanking internal transcribed spacers (ITS), translation elongation factor (EF-1α), calmodulin
(CAM), partial RNA polymerase largest subunit (RPB1) and partial RNA polymerase second largest subunit (RPB2), was generated to distinguish species within the FIESC. Nine novel species were identified and described. The RPB2 locus is demonstrated to be a primary
barcode with high success rate in amplification, and to have the best species delimitation compared to the other four tested loci.
TurbuStat: Turbulence Statistics in Python
Authors: Koch Eric W. , Rosolowsky Erik W. , Boyden Ryan D. , Burkhart Blakesley , Ginsburg Adam , Loeppky Jason L. , Offner Stella S. R.
Published: June 2019

We present TurbuStat (v1.0): a python package for computing turbulence statistics in spectral-line data cubes. TurbuStat includes implementations of 14 methods for recovering turbulent properties from observational data. Additional features of the software include: distance metrics for comparing two data sets; a segmented linear model for fitting lines with a break point; a two-dimensional elliptical power-law model; multicore fast-Fourier-transform support; a suite for producing simulated observations of fractional Brownian Motion fields, including two-dimensional images and optically thin H i data cubes; and functions for creating realistic world coordinate system information for synthetic observations. This paper summarizes the TurbuStat package and provides representative examples using several different methods. TurbuStat is an open-source package and we welcome community feedback and contributions.
A Numerical Study of Cosmic Proton Modulation Using AMS-02 Observations
Authors: Luo Xi , Potgieter Marius S. , Bindi Veronica , Zhang Ming , Feng Xueshang
Published: June 2019

Since 2011 May, the Alpha Magnetic Spectrometer (AMS-02) on board the International Space Station has provided monthly cosmic proton fluxes for various low-rigidity levels (P < 50 GV). These precise measurements, in terms of high time and rigidity resolution, have provided a good opportunity to study cosmic ray modulation over a wide range of rigidities, together with transient events. Subsequently, a comprehensive numerical transport model has been constructed, based on Parker’s transport equation that includes all known physical mechanisms: diffusion, convection, drift, and adiabatic cooling. Propagating diffusion barriers to simulate Forbush decreases (Fds) and global merged interaction regions (GMIRs) have also been incorporated: (1) utilizing a time-varying tilt angle of the heliospheric current sheet and interplanetary magnetic field, the general trend of the time variation of cosmic proton fluxes has been reproduced; (2) the Fd events in 2011 October and 2012 March have been simulated, and the first GMIR event in solar cycle 24 has also been simulated and studied; and (3) the rigidity dependence of the proton fluxes, as revealed by the AMS-02 data, has been reproduced with the appropriate chosen rigidity dependent diffusion coefficients. In order to reproduce the proton observations, we find that apart from the transient events, the derived mean free paths in interplanetary space also need to be changed with time.
Kinetic Simulations of Nonrelativistic Perpendicular Shocks of Young Supernova Remnants. I. Electron Shock-surfing Acceleration
Authors: Bohdan Artem , Niemiec Jacek , Pohl Martin , Matsumoto Yosuke , Amano Takanobu , Hoshino Masahiro
Published: June 2019

Electron injection at high Mach number nonrelativistic perpendicular shocks is studied here for parameters that are applicable to young SNR shocks. Using high-resolution large-scale two-dimensional fully kinetic particle-in-cell simulations and tracing individual particles, we in detail analyze the shock-surfing acceleration (SSA) of electrons at the leading edge of the shock foot. The central question is to what degree the process can be captured in 2D3V simulations. We find that the energy gain in SSA always arises from the electrostatic field of a Buneman wave. Electron energization is more efficient in the out-of-plane orientation of the large-scale magnetic field because both the phase speed and the amplitude of the waves are higher than for the in-plane scenario. Also, a larger number of electrons is trapped by the waves compared to the in-plane configuration. We conclude that significant modifications of the simulation parameters are needed to reach the same level of SSA efficiency as in simulations with out-of-plane magnetic field or 3D simulations.
CO Outflow Candidates toward the W3/4/5 Complex I: The Sample and Its Spatial Distribution
Authors: Li 李 Yingjie 英杰 , Xu Ye , Sun Yan , Yan Qing-Zeng , Ma Yuehui , Yang Ji
Published: June 2019

Using the Purple Mountain Observatory Delingha 13.7 m telescope, we conducted a large-scale 12CO

outflow survey (over ∼110 deg2) toward the W3/4/5 complex and its surroundings. In total, 459 outflow candidates were identified. Approximately 62% (284) were located in the Perseus arm, including the W3/4/5 complex and its surroundings, while ∼35% (162) were located in the Local arm, ∼1% (5) were in the Outer arm, and ∼2% (8) were in two interarm regions. This result indicated that star formation was concentrated in the Galactic spiral arms. The detailed spatial distribution of the outflow candidates showed that the Perseus arm presented the most active star formation among the study regions. The W3/4/5 complex is a great region to research massive star formation in a triggered environment. A key region, which has been well studied by other researches, is in the eastern high-density W3 complex that neighbors the W4 complex. Two shell-like structures in the Local arm contain candidates that can be used to study the impact on star formation imposed by massive or intermediate-mass stars in relatively isolated systems. The majority of outflow candidates in the two interarm regions and the Outer arm are located in filamentary structures.
The Drosophilidae (Diptera) of Fennoscandia and Denmark: replacing three misprinted plates
Authors: Bächli Gerhard , Vilela Carlos R.
Published: June 2019

Three out of the 80 plates of fine line drawings of male terminalia in the book entitled The Drosophilidae (Diptera) of Fennoscandia and Denmark, published by Brill Leiden were misprinted. Here these three plates have been reprinted in the manner that they should have been published originally and provide an accurate representation of the complex male terminalia of AmiotasubtusradiataLeucophengaquinquemaculata and Phorticavariegata. Male terminalia republishing corrigenda
The memory and learning enhancing effects of Atristamine
Authors: Podolsky Illya , Shtrygol’ Sergiy
Published: June 2019

The object of the present study, 2-methyl-3-(phenylaminomethyl)-1H-quinolin-4-one (Atristamine), has been deeply studied as a promising antidepressant with the unique spectrum of additional neuropharmacological properties. Previously, the memory-enhancing effects of Atristamine have already been studied in the passive-avoidance test after scopolamine-induced amnesia in mice. Thus, the study of the effects of Atristamine on the spatial learning and memory in the Morris water maze under physiological conditions was the next logical step of our research.

According to the results obtained, Atristamine (100 mg/kg) has almost the same effect on the main markers of the memory-enhancing activity (the escape latency and distance moved) as Piracetam (300 mg/kg) and Phenibut (20 mg/kg) chosen as the well-studied and widely-used memory enhancers. The escape latency decreased in the Atristamine group by 3.2 times compared to the vehicle control group, whereas Piracetam and Phenibut caused a significant reduction of this indicator by 4.3 and 3.7 times, respectively. Moreover, the rats from the Atristamine group swam 5.1 times shorter distance to the platform in the probe trial compared to animals from the vehicle control group. The distance moved was 3-fold shorter in the Piracetam group and decreased by 5.2 times in the Phenibut group.

All drugs used in this study caused considerable changes of inter-quadrant preferences of animals. Based on the analysis of the inter-quadrant behaviour of rats, it has been found that there are considerable differences in search strategies associated, probably, with distinct mechanisms of the memory and learning enhancing action of the drugs used.
Sexual and reproductive traits of the pearl oyster shrimp Pontonia margarita (Decapoda: Palemonidae), symbiotically inhabiting the mantle cavity of the rugose pen shell Pinna rugosa (Bivalvia: Pinnidae)
Authors: García Ulloa Diego , Landa Jaime Victor , Góngora Gómez Andres Martín , García Ulloa Manuel , Hernández Sepúlveda Jaun Antonio
Published: June 2019

Symbiosis between decapods and mollusks provides a unique opportunity to examine some of the evolutionary strategies employed by marine invertebrates. We describe the sexual and reproductive traits of the pearl oyster shrimp, Pontoniamargarita Verril, 1869, found symbiotically inhabiting the mantle cavity of the rugose pen shell, Pinnarugosa Sowerby, 1835. Solitary males and females (ovigerous and non-ovigerous) and heterosexual pairs (with ovigerous and non-ovigerous females) were found in a total of 47 rugose pen shells collected from a sandy area with seagrass meadows on the southeastern coast of the Gulf of California, Mexico. The body length (BL) of female P.margarita was correlated with the shell volume of their rugose pen shell host. The sex ratio was female-biased (0.85M:1F). Female P.margarita were larger than their male counterparts in terms of BL, cephalothorax length (CL), and the maximum chelae length of the second pereopod (MCL). The CL and MCL were more strongly correlated for males (r = 0.70, p = 0.01). The number and volume of eggs per ovigerous female varied from 95 to 1,571 and from 5.46 ± 0.48 to 8.85 ± 0.97 mm3, respectively. Our results indicate polygamous behavior and social monogamy among P.margarita, and a short-term pairing system for their association with P.rugosa.
Les prêtresses des empereurs dans les provinces grecques de l’Empire : une intégration incomplète
Authors: Frija Gabrielle
Published: June 2019

L’étude de la diffusion des grandes-prêtrises féminines dans les provinces anatoliennes et en Achaïe révèle une certaine diversité des pratiques dans le monde grec, qui amène à relativiser le lien entre l’implication des femmes dans le culte impérial et une évolution sociale générale touchant les femmes grecques. Plutôt que d’autonomie, il faut parler d’une visibilité plus affirmée, essentiellement en Asie et en Lycie.
Le sort contre l’État ? La vocation des magistratures urbaines françaises au xvii e siècle
Authors: Lignereux Yann
Published: June 2019

À la fin de plus de quarante ans de troubles civils et religieux, les villes françaises connaissent, au xvii e  siècle, un processus de forte subordination monarchique dont les ressorts sont liés autant aux exigences de la pacification religieuse et de la normalisation politico-sociale absolutistes qu’à l’efficacité et l’extension de la perception fiscale de la monarchie administrative. Son instrument principal est constitué par le contrôle, sous les premiers rois bourbons, des gouvernements urbains dont ils s’assurent l’obéissance et la fidélité en intervenant à différents niveaux des processus édilitaires. Par le recours au sort dans la désignation des principaux magistrats urbains – qu’il soit le fait d’un véritable tirage au sort ou qu’il soit célébré dans l’appareil rhétorique municipal –, plusieurs villes, comme Lyon et Marseille, s’efforcent d’aménager les termes de cette subordination étatique en définissant une autonomie du politique déliée des mécanismes sociaux et financiers assurant l’efficacité de cette dernière. Dans le champ d’une expérience historique d’une génération environ (les années 1630-1660), un modus operandi de la représentation politique urbaine est alors défini que peuvent éclairer les évolutions dramaturgiques immédiatement contemporaines. Une autonomie dont il faudra interroger cependant les finalités exactes qui pourraient, dès lors, être moins celles visant à préserver l’indépendance des villes des appétits monarchiques qu’une ingéniosité institutionnelle et arithmétique chargée d’assurer la satiété de puissance de certains clans édilitaires à l’exclusion de tout autre compétiteur local.
Le tirage au sort démocratise-t-il la démocratie ? Ou comment la démocratie délibérative a dépolitisé une proposition radicale
Authors: Talpin Julien
Published: June 2019

Le retour du tirage au sort en politique depuis quarante ans tient beaucoup à son appropriation par les théories de la démocratie délibérative, qui ont fait de dispositifs tirés au sort les espaces centraux de la délibération démocratique. Cette appropriation n’avait pourtant rien d’évident. Elle tient à la trajectoire scientifique de certains de ses promoteurs et à des évolutions parallèles au sein du champ politique. En dépit du vent de fraîcheur qu’elle fait souffler sur le gouvernement représentatif, la promotion scientifique du tirage au sort ne s’est pas nécessairement traduite par une démocratisation de la démocratie. Si ces expérimentations contribuent à démontrer les capacités délibératives des citoyens ordinaires, elles n’ont qu’exceptionnellement contribué à accroître leur pouvoir dans la prise de décision. La focalisation des recherches sur l’analyse des dynamiques délibératives au sein des dispositifs tirés au sort a dès lors été fortement critiquée par des théoriciens revendiquant un retour à l’inspiration habermasienne initiale d’une plus grande délibération dans l’espace public, et non au sein de mini-publics. Ce tournant systémique a marginalisé le tirage au sort au sein de la théorie délibérative la plus récente. Après avoir retracé ce cheminement intellectuel, nous voudrions esquisser quelques pistes de réflexion sur la façon dont le tirage au sort pourrait contribuer à ranimer la flamme critique de la théorie délibérative, via son usage oppositionnel par les mouvements sociaux.
Overview of the EVALITA 2018 Aspect-based Sentiment Analysis task (ABSITA)
Authors: Basile Pierpaolo , Croce Danilo , Basile Valerio , Polignano Marco
Published: June 2019

ABSITA is the Aspect-based Sentiment Analysis task at EVALITA 2018 (Caselli et al., 2018). This task aimed to foster research in the field of aspect-based sentiment analysis within the Italian language: the goal is to identify the aspects of given target entities and the sentiment expressed for each aspect. Two subtasks are defined, namely Aspect Category Detection (ACD) and Aspect Category Polarity (ACP). In total, 20 runs were submitted by 7 teams comprising 11 total individual participants. The best system achieved a micro F1-score of 0.810 for ACD and 0.767 for ACP.
ItVENSES - A Symbolic System for Aspect-Based Sentiment Analysis
Authors: Delmonte Rodolfo
Published: June 2019

ItVENSES is a system for syntactic and semantic processing that is based on the parser for Italian called ItGetaruns to analyse each sentence. ItVenses receives the output of ItGetaruns and decides which terms may be used as keywords or features for aspect identification. This is done at first by a simple lookup in a list created on the basis of a quantitative analysis of the training corpus. The result is sifted by activating a set of syntactic and semantic SIEVES that act upon the output constituency structure, the lemmatized and classified list of words, the predicate-argument structure(s) of the sentence. After this step, the aspect(s) associated to each sentence are enriched by the sentiment and polarity components computed on the output of ItGetaruns. Finally negation, factuality and subjectivity are considered in relation to each aspect. Results have been at first fairly low – 61% F1-score -, but after a series of ablation experiments two components of the algorithm have been reduced and the evaluation has suddenly soared reaching 83% F1-score, a value close to the one obtained for training data.
Predicting Emoji Exploiting Multimodal Data: FBK Participation in ITAmoji Task
Authors: Coman Andrei Catalin , Nechaev Yaroslav , Zara Giacomo
Published: June 2019

In this paper, we present our approach that has won the ITAmoji task of the 2018 edition of the EVALITA evaluation campaign1. ITAmoji is a classification task for predicting the most probable emoji (a total of 25 classes) to go along with the target tweet written by a given person in Italian. We demonstrate that using only textual features is insufficient to achieve reasonable performance levels on this task and propose a system that is able to benefit from the multimodal information contained in the training set, enabling significant gains and earning us the first place in the final ranking.
The validity of word vectors over the time for the EVALITA 2018 Emoji prediction task (ITAmoji)
Authors: Bennici Mauro , Seijas Portocarrero Xileny
Published: June 2019

This document describes the results of our system in the evaluation campaign on the prediction of Emoji in Italian, organized in the context of EVALITA 20181 (Ronzano et al., 2018). Given the text of a tweet in Italian, the task is to predict the emoji most likely associated with that tweet among the 25 emojis selected by the organizers. In this report, we describe the three proposed systems for evaluation. The approach described starts from the possibility of creating two different models, one for the part of categorization, and the other for the part of polarity. And to combine the two models to get a better understanding of the dataset.
Aspie96 at IronITA (EVALITA 2018): Irony Detection in Italian Tweets with Character-Level Convolutional RNN
Authors: Giudice Valentino
Published: June 2019

Irony is characterized by a strong contrast between what is said and what is meant: this makes its detection an important task in sentiment analysis. In recent years, neural networks have given promising results in different areas, including irony detection. In this report, I describe the system used by the Aspie96 team in the IronITA competition (part of EVALITA 2018) for irony and sarcasm detection in Italian tweets.
CapetownMilanoTirana for GxG at Evalita2018. Simple n-gram based models perform well for gender prediction. Sometimes.
Authors: Basile Angelo , Dwyer Gareth , Rubagotti Chiara
Published: June 2019

In this paper we describe our participation in the Evalita 2018 GxG cross-genre/domain gender prediction shared task for Italian. Building on previous results obtained on in-genre gender prediction, we try to assess the robustness of a linear model using n-grams in a cross-genre setting. We show that performance drops significantly when the training and testing genres differ. Furthermore, we experiment with abstract features in trying to capture genre-independent features. We achieve an average F1-score of 0.55 on the official in-genre test set — being thus ranked first out of five submissions — and 0.51 on the cross-genre test set.
A Markovian Kernel-based Approach for itaLIan Speech acT labEliNg
Authors: Croce Danilo , Basili Roberto
Published: June 2019

This paper describes the UNITOR system that participated to the itaLIan Speech acT labEliNg task within the context of EvalIta 2018. A Structured Kernel-based Support Vector Machine has been here applied to make the classification of the dialogue turns sensitive to the syntactic and semantic information of each utterance, without relying on any task-specific manual feature engineering. Moreover, a specific Markovian formulation of the SVM is adopted, so that the labeling of each utterance depends on speech acts assigned to the previous turns. The UNITOR system ranked first in the competition, suggesting that the combination of the adopted structured kernel and the Markovian modeling is beneficial.
CrotoneMilano for AMI at Evalita2018. A performant, cross-lingual misogyny detection system.
Authors: Basile Angelo , Rubagotti Chiara
Published: June 2019

We present our systems for misogyny identification on Twitter, for Italian and English. The models are based on a Support Vector Machine and they use n-grams as features. Our solution is very simple and yet we achieve top results on Italian Tweets and excellent results on English Tweets. Furthermore, we experiment with a single model that works across languages by leveraging abstract features. We show that a single multi-lingual system yields performances comparable to two independently trained systems. We achieve accuracy results ranging from 45% to 85%. Our system is ranked first out of twelve submissions for sub-task B on Italian and second for sub-task A.
HanSEL: Italian Hate Speech detection through Ensemble Learning and Deep Neural Networks
Authors: Polignano Marco , Basile Pierpaolo
Published: June 2019

The detection of hate speeches, over social media and online forums, is a relevant task for the research area of natural language processing. This interest is motivated by the complexity of the task and the social impact of its use in real scenarios. The task solution proposed in this work is based on an ensemble of three classification strategies, mediated by a majority vote algorithm: Support Vector Machine (Hearst et al., 1998) (SVM with RBF kernel), Random Forest (Breiman,2001), Deep Multilayer Perceptron (Kolmogorov, 1992) (MLP). Each classifier has been tuned using a greedy strategy of hyper-parameters optimization over the “F1” score calculated on a 5-fold random subdivision of the training set. Each sentence has been pre-processed to transform it into word embeddings and TF-IDF bag of words. The results obtained on the cross-validation over the training sets have shown an F1 value of 0.8034 for Facebook sentences and 0.7102 for Twitter. The code of the system proposed can be downloaded from GitHub: https://github.com/marcopoli/haspeede_hate_detect
Computer challenges guillotine: how an artificial player can solve a complex language TV game with web data analysis
Authors: Squadrone Luca
Published: June 2019

This paper describes my attempt to build an artificial player for a very popular language game, called “The Guillotine”, within the Evalita Challenge (Basile et al., 2018). I have built this artificial player to investigate how far we can go by using resources available on the web and a simple matching algorithm. The resources used are Morph-it (Zanchetta and Baroni, 2005) and other online resources. The resolution algorithm is based on two steps: in the first step, it interrogates the knowledge base Morph-it with the five data clues, download the results and perform various intersection operations between the five data sets; in the second step, it refines the results through the other sources such as the Italian proverbs database and the IMDb. My artificial player identified the solution among the first 100 solutions proposed in 25% of cases. This is still far from systems like OTTHO (Semeraro et al., 2012) that obtained the solution in 68% of the cases. However, their result was obtained larger resources and not only with a simple web analysis.
The Perfect Recipe: Add SUGAR, Add Data
Authors: Magnolini Simone , Balaraman Vevake , Guerini Marco , Magnini Bernardo
Published: June 2019

We present the FBK participation at the EVALITA 2018 Shared Task “SUGAR – Spoken Utterances Guiding Chef’s Assistant Robots”. There are two peculiar, and challenging, characteristics of the task: first, the amount of available training data is very limited; second, training consists of pairs [audio-utterance, system-action], without any intermediate representation. Given the characteristics of the task, we experimented two different approaches: (i) design and implement a neural architecture that can use as less training data as possible, and (ii) use a state of art tagging system, and then augment the initial training set with synthetically generated data. In the paper we present the two approaches, and show the results obtained by their respective runs.
A Multimodal Based Approach for Face and Unique Mark Based Combination for Confirmation of Human
Authors: Srivastava Prateek , Srivastava Rohit
Published: June 2019

Biometric processes are utilized for recognition and distinguishing a person for different applications. The procedure is made possible by utilizing single biometric highlight or a mix of biometric highlights. In the event that the distinguishing proof is finished by utilizing a solitary biometric highlight (confront, iris, finger, palm, and so forth) then the framework is called unimodal, and if a combnation of biometrics are utilized then it is called multimodal. In a multimodal framework compared to the different downsides of a unimodal framework (noisy data, multiple vectors and so forth) are evacuated. The fundamental objective of the proposed work is to outline a system that will give validation in view of three-level verification for a man. Prior works in this field are clarified in various factual models in view of various verification plans. In the proposed strategy, a system is created in which if one biometric attribute fails then the other biometic characteristics can be utilized for verification.
Chronic Kidney Disease Using Fuzzy C-Means Clustering Analysis
Authors: Kunwar Vineeta , Sabitha A. Sai , Choudhury Tanupriya , Aggarwal Archit
Published: June 2019

Medical industries are encountered with challenges like providing quality services to patients, correct diagnosis and effective treatments at reasonable cost. Data mining has become a necessity and provides solutions to many important and critical health related concerns. It is the process to mine knowledgeable information from voluminous medical data sets. It plays an essential role in improving medical decision making and helps to investigate trends in patient conditions which can be used by doctors for disease diagnosis. Clustering is an unsupervised learning technique that groups object with high similarity together. Chronic kidney disease (CKD) causes renal failure and kidney dysfunction. It has become an important health issue with the number of cases on the rise every year. This article presents analysis and detection of Chronic Kidney Disease using Fuzzy C Means (FCM) clustering which is effective in mining complex data having fuzzy relationships among members. FCM will investigate and group together the patients having CKD and Not CKD. The simulation and coding are done in MATLAB.
Voices in the Desert
Authors: Woodley Xeturah M
Published: June 2019

The experiences of Black women educators are important, and yet their personal and professional experiences are rarely included as part of the faculty narrative at most North American higher education institutions. The continued normalization of White Supremacy and androcentricity, within North American higher education, maintain systems of oppression that perpetuate the systematic marginalization of Black women within the faculty ranks. The purpose of this study was to understand the experiences of Black women educators in New Mexico's higher education institutions. With a grounding in Black Womanist and Critical Race Theories, this qualitative research study employed snowball sampling as a means to engage ten Black women faculty members, via semi-structured interviews, in critical inquiry about their professional experiences with higher education. Study participants testified about experiences with microaggressions, discrimination, and racial battle fatigue as well as feeling intellectual, campus, and community isolation.
Machine Learning for Web Proxy Analytics
Authors: Maldonado Mark , Barsoum Ayad
Published: June 2019

Proxy servers used around the globe are typically graded and built for small businesses to large enterprises. This does not dismiss any of the current efforts to keep the general consumer of an electronic device safe from malicious websites or denying youth of obscene content. With the emergence of machine learning, we can utilize the power to have smart security instantiated around the population's everyday life. In this work, we present a simple solution of providing a web proxy to each user of mobile devices or any networked computer powered by a neural network. The idea is to have a proxy server to handle the functionality to allow safe websites to be rendered per request. When a website request is made and not identified in the pre-determined website database, the proxy server will utilize a trained neural network to determine whether or not to render that website. The neural network will be trained on a vast collection of sampled websites by category. The neural network needs to be trained constantly to improve decision making as new websites are visited.
Electronic Health Records
Authors: McDermott Donna S. , Kamerer Jessica L. , Birk Andrew T.
Published: June 2019

Electronic health records (EHRs) pose unique concerns for administrators and information technology professionals with regard to cybersecurity. Due to the sensitive nature and increasing value of personal health information, cyber risks and information protection should be a high priority. A literature review was conducted to identify potential threat categories and best practices in protecting EHR information. Potential threats were identified and categorized into five areas; physical, portable devices, insider use, technical, and administrative. Government policies have created administrative, physical, and technical safeguards to keep EHR information safe. Despite these efforts, EHRs are being targeted by cyber-criminals due to flaws in personal and organizational management of protected healthcare information. This paper aims to educate, inform, and advocate for the proper handling of EHRs to alleviate the burden caused by compromised electronic documents.
Using Smartphone Inertial Measurement Unit for Analysis of Human Gait
Authors: Reginya Sergey , Meigal Alexander Yu. , Gerasimova-Meigal Liudmila I. , Prokhorov Kirill , Moschevikin Alex
Published: June 2019

The study was aimed at searching the characteristic features of a human gait during a conventionally used neurologic walking test with the help of sensors (3D accelerometer and gyroscope) in a smartphone mounted on the person's head. This allowed reducing the amount of analyzed data and saving time for analysis in comparison with motion video capture methods. It has been found that merely one inertial unit is good enough to detect the gait left-right asymmetry in healthy subjects. Several parameters were derived, one of them (acceleration shock) proved to be the most informative one. The gyroscope signal allowed detecting the characteristics of the gait in Parkinson's disease patients seen as the excess of the power spectrum density in all three axes. Therefore, this study was aimed to extract amplitude and spectral parameters from acceleration and rotation rate signals of smartphone-based IMU attached to the head during the long version of the TUG test in a group of neurologically healthy young subjects.
Factors That Influence the tourists' or Potential Tourists' Intention to Visit and the Contribution to the Corporate Social Responsibility Strategy for Eco-Tourism
Authors: Lai P.C.
Published: June 2019

This article shared the Kuala Kubu Bharu-Fraser's Hill areas and activities of the eco-tourism corporate social responsibility strategy in Malaysia. It describes the factors that influence the tourists' or potential tourists' intention to visit as well as focuses on the enjoyment element as an adaptation and extension to the Theory of Reasonable Action and Stimulus Research Model. The empirical results from the quantitative analysis suggest that enjoyment, attitude as well as social norm are significant factors that contribute to influence the tourists' or potential tourists' intention to visit. With the growth of the eco-tourism industry globally, there is a greater call for corporate social responsibility strategy by organizations. Thus, this article discusses the potential of eco-tourism for corporate social responsibility green business. It is vital to emphasize the customer expectation and the business corporate social responsibility for the sustainability development of the eco-tourism locality.
A Predictive and Evolutionary Approach for Cost-Effective and Deadline-Constrained Workflow Scheduling Over Distributed IaaS Clouds
Authors: Chen Jiangchuan , Jiang Jiajia , Luo Dan
Published: June 2019

Clouds provide highly elastic resource provisioning styles through which scientific workflows are allowed to acquire desired resources ahead of the execution and build required software environment on virtual machines (VMs). However, various challenges for cloud workflow, especially its optimal scheduling, are yet to be addressed. Traditional approaches mainly consider VMs to be with non-fluctuating, time-invariant, stochastic, or bounded performance. This work describes workflows to be deployed and executed over distributed infrastructure-as-a-service clouds with time-varying performance of VMs and is aimed at reducing the execution cost of workflow while meeting deadline constraints. For this purpose, the authors employ time-series-based prediction approaches to capture dynamic performance fluctuations, feed an evolutionary algorithm with predicted performance information, and generate schedules at real-time. A case study based on multiple randomly-generated workflow templates and third-party commercial clouds shows that their proposed approach outperforms traditional ones.
Assessing the impacts of climate change on dependable flow and potential irrigable area using the SWAT model. The case of Maasin River watershed in Laguna, Philippines
Authors: Alejo Lanie A. , Ella Victor B.
Published: June 2019

Seasonal changes in rainfall and temperature brought about by climate change affect water resources availability for rice production areas. There are currently no published applications of the soil and water assessment tool (SWAT) model on quantified effects of climate variability on irrigation service areas for rice production. The study assessed the impacts of climate change on dependable flow and potential irrigable areas of the Maasin River in Laguna, Philippines. Projected variations of rainfall and temperature in 2020 and 2050 developed using PRECIS model based on special report on emission scenarios were employed. The SWAT model was then used to simulate stream flow for each climate change scenario, from which dependable flows were quantified using flow duration analysis. Diversion water requirements for the rice areas in the watershed were determined using CROPWAT. Based on dependable flows and irrigation demand, the potential irrigable areas were estimated. Calibration and validation of the SWAT model showed satisfactory performance in stream flow simulations. The dependable flow in irrigation systems may decline by more than 50% in 2020 and by as much as 97% in 2050, because of seasonal changes in rainfall. In effect, the potential irrigable area may decrease to less than half of the current service area depending on the level of greenhouse gases emissions. SWAT water balance projections suggest surface runoff during wet seasons and increase annual groundwater recharge are possible sources of supplemental irrigation. Provisions of suitable storage reservoir facilities and groundwater development projects will alleviate water scarce conditions. The study demonstrated a technique that may be applied in other irrigation systems in the Philippines and in other countries to quantify the effects of climate change on dependable flows and potential irrigable areas. It can serve as an input to water resources planning and policy recommendations for climate change adaptation and risk reduction strategies. This technique can also be used to assess water resources in other perennial rivers and its viability for the development of new irrigation systems in the Philippines.
Scholarship revisited
Authors: Eales C. J.
Published: June 2019

No abstract available.
Experiences of physiotherapy students in a clinical setting for elderly adults
Authors: Amosun S. L.
Published: June 2019

The purpose of this study was to assess and describe qualitatively the learning experiences of physiotherapy students within the context of a clinical education setting where students learnt to provide care for elderly adults. Data collected over two years from students’ diaries kept during the block, and individual or group interviews, were analysed. Two major themes were vital to the students, namely coping with disability and reduced functional ability in elderly adults, as well as dealing with death and dying. The study concluded that there is a need for clinical integration of the concepts of chronic disability, death and bereavement in physiotherapy education.
The reliability of Berger’s table in estimating 1-RM and 10-RM of the elbow flexor muscles in normal young adults
Authors: Akinpelu A. O. , Iyaniwura J. O. , Ajagbe B. O.
Published: June 2019

Isotonic strength training remains one of the methods of strengthening muscles, as it requires inexpensive materials. The method requires the determination of maximal isotonic strength or one repetition maximum [1-RM] and/or sub-maximal isotonic strength (2-RM - 10-RM) of a muscle group in order to know the appropriate resistance to subject the muscle group to, and to monitor strength gains by the muscle group. Berger’s table contains percentages for predicting 1-RM - 10-RM, and it is intended to improve the efficiency of determining isotonic muscle strength. The aim of this study was to investigate the reliability of Berger’s table in predicting 1-RM and 10-RM of the right elbow flexor muscles.1-RM and 10-RM were estimated using Berger’s table in 100 young adults following the determination of the number of repetitions that could be carried out against randomly selected weights. Weight adjustments were made to obtain the actual 1-RM and 10-RM. Data were subjected to regression analysis. A significant linear relationship exists between the estimated and actual values of 1-RM and 10-RM. Results also showed that Berger’s table explains 93% of 1-RM and 98% of 10-RM. It was concluded that Berger’s table is reliable in determining 1-RM and 10-RM of the elbow flexors in young healthy adults. Regression equations that may improve the accuracy of estimation were derived.
The perceptions of parents and caregivers on the causes of disabilities in children with cerebral palsy: A qualitative investigation
Authors: Mweshi M. M. , Mpofu R.
Published: June 2019

The purpose of this study was to investigate the perceptions of parents and caregivers on the causes of disabilities in children with cerebral palsy in selected areas of the Cape Metropolitan. A qualitative research design was chosen for the investigation. Data collection was by semi-structured interviews. The results showed that the range of variation in the beliefs of the parents and caregivers concerning the cause of the child’s disability and the stigma attached was quite considerable. However, the majority of the informants hardly knew the causes of disabilities while only a few informants seemed to have known. It is recommended that health professionals who work with families directly could play a major role in preventing unnecessary stressful situations by providing adequate information about the child’s condition in terms of aetiology and the likely prognosis. Helping and working with such families require a multidisciplinary effort, effective communication among families and professionals, and knowledge of community resources.
Consulting the South African experts in physiotherapeutic stroke rehabilitation
Authors: Hale L. A. , Eales C. J.
Published: June 2019

This paper presents the opinions of expert physiotherapists on what constitutes optimal stroke rehabilitation in South Africa. Data were collected by the use of the Delphi technique. Consensus was reached after two rounds, and the respondents’ views are summarised and discussed within the framework of South African health care. Results showed that physiotherapy was felt to be very important after stroke, and the survey created a profile of the skills that physiotherapists may require in order to work in this field. However, no new or innovative methods by which appropriate rehabilitation services could be delivered in South Africa were generated by the survey.The Delphi technique is described and its use in this survey considered.
An extremal property of lattice polygons
Authors: Bliznyakov Nikolai , Kondratyev Stanislav
Published: June 2019

We find the critical number of vertices of a convex lattice polygon that guarantees that the polygon contains at least one point of a given square sublattice. As a tool, we prove Diophantine inequalities relating the number of edges of a broken line and the coordinates of its endpoints.
Homogenization of obstacle problems in Orlicz–Sobolev spaces
Authors: Marcon Diego , Rodrigues José Francisco , Teymurazyan Rafayel
Published: June 2019

We study the homogenization of obstacle problems in Orlicz–Sobolev spaces for a wide class of monotone operators (possibly degenerate or singular) of the

p(\cdot)

-Laplacian type. Our approach is based on the Lewy–Stampacchia inequalities, which then give access to a compactness argument. We also prove the convergence of the coincidence sets under non-degeneracy conditions.
Three-dimensional registration and shape reconstruction from depth data without matching: A PDE approach
Authors: Gomes Diogo A. , Costeira João , Saúde João
Published: June 2019

The widespread availability of depth sensors like the Kinect camera makes it easy to gather three-dimensional (3D) data. However, accurately and efficiently merging large datasets collected from di¤erent views is still a core problem in computer vision. This question is particularly challenging if the relative positions of the views are not known if there are few or no overlapping points, or if there are multiple objects. Here, we develop a method to reconstruct the 3D shapes of objects from depth data taken from different views whose relative positions are not known. Our method does not assume that common points in the views exist nor that the number of objects is known a priori. To reconstruct the shapes, we use partial differential equations (PDE) to compute upper and lower bounds for distance functions, which are solutions of the Eikonal equation constrained by the depth data. To combine various views, we minimize a function that measures the compatibility of relative positions. As we illustrate in several examples, we can reconstruct complex objects, even in the case where multiple views do not overlap, and, therefore, do not have points in common. We present several simulations to illustrate our method including multiple objects, non-convex objects, and complex shapes. Moreover, we present an application of our PDE approach to object classification from depth data.
The derived moduli stack of shifted symplectic structures
Authors: Bach Samuel , Melani Valerio
Published: June 2019

We introduce and study the derived moduli stack

\mathbf {Symp}(X,n)

of

n

-shifted symplectic structures on a given derived stack

X

, as introduced in [8]. In particular, under reasonable assumptions on

X

, we prove that

\mathbf {Symp}(X,n)

carries a canonical quadratic form, in the sense of [14]. This generalizes a classical result of Fricke and Habermann (see [13]), which was established in the

C^{\infty}

-setting, to the broader context of derived algebraic geometry, thus proving a conjecture stated in [14].