Miracle-dz/UniFAR-FTUs huggingface dataset:
Defending Against the Buffer Overflows: A Static Approach Using Proof-Carrying Code

Buffer overflow has been one of the most outstanding attacks in the last ten years. This kind of vulnerability may compromise the system security by various means. Existing solutions to this problem have focused on the execution environment of the malicious program rather than the hypostasis of buffer overflow and most of them try to detect buffer overflows dynamically. This paper presents the effort of applying a static analysis approach against the programs exploiting buffer overflow and the method adopted is named Proof-Carrying Code (PCC). This paper shows that: (1) it is possible to defend against most of the buffer overflow vulnerabilities with proper use of PCC; and (2) the method is well prepared to handle the coming-up variants of the buffer overflow problems. 
Electrocardiograph (ECG) Circuit Design and Software-based Processing using LabVIEW

The efficiency and acquisition of a clean (diagnosable) ECG signal dependent upon the proper selection of electronic components and the techniques used for noise elimination. Given that the human body and the lead cables act as antennas, hence picking up noises from the surroundings, thus a major part in the design of an ECG device is to apply various techniques for noise reduction at the early stage of the transmission and processing of the signal. This paper, therefore, covers the design and development of a Single Chanel 3-Lead Electrocardiograph and a Software-based processing environment. Main design characteristics include reduction of common mode voltages, good protection for the patient, use of the ECG device for both monitoring and automatic extraction (measurements) of the ECG components by the software. The hardware consisted of a lead selection stage for the user to select the bipolar lead for recording, a pre-amplification stage for amplifying the differential potentials while rejecting common mode voltages, an electrical isolation stage from three filtering stages with different bandwidths for noise attenuation, a power line interference reduction stage and a final amplification stage. A program in LabVIEW was developed to further improve the quality of the ECG signal, extract all its features and automatically calculate the main ECG output waveforms. The program had two main sections: The filtering section for removing power line interference, wideband noises and baseline wandering, and the analysis section for automatically extracting and measuring all the features of the ECG in real time. A Front Panel Environment was, therefore, developed for the user interface. The present system produced ECG tracings without the influence of noise/artefacts and provided accurate detection and measurement of all the components of the ECG signal.
Archaeology of Children

Archaeology of children is a relatively new field of research within archaeology. This article gives an overview of the advancement of the subject and discusses theoretical and methodological approaches applied to the study of children in the past, such as terminology and theory of childhood, and proposes an alternative approach to children and childhood. The many-faceted worlds of children and children’s material culture are reconsidered from the perspective of phenomenology. Nature-culture relationships and spatial dimensions in the archaeology of children are explained with long-term perspectives for archaeology.
Parallel Model Feature Extraction to Improve Performance of a BCI System

It is well knowns that based on the CSP (Common Spatial Pattern) algorithm, the linear projection of an EEG (Electroencephalography) signal can be made to spaces that optimize the discriminant between two patterns. Sharing disadvantages from linear time invariant systems, CSP suffers from the non-stationary nature of EEGs causing the performance of the classification in a BCI (Brain-Computer Interface) system to drop significantly when comparing the training data and test data. The author has suggested a simple idea based on the parallel model of CSP filters to improve the performance of BCI systems. The model was tested with a simple CSP algorithm (without any elaborate regularizing methods) and a perceptron learning algorithm as a classifier to determine the improvement of the system. The simulation showed that the parallel model could improve classification performance by over 10% compared to conventional CSP methods.
Some remarks on Jaeger's dual-hamiltonian conjecture

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In vitro and in vivo Evaluation of Flavonoids from Heliotropium ellipticum Exudate for Antioxidant, Antineoplastic and Cytotoxic Activities II

Flavonoids are a large group of plant secondary metabolites that occur in various types of fruits and vegetable crops. The present study attempted to isolate and test flavonoids from the Heliotropium ellipticum exudate for antioxidant, antineoplastic and cytotoxic effects. Results obtained revealed that chrysin demonstrated higher DPPH scavenging (297.21±0.36%), reducing power (428.21±0.23%), superoxide anion scavenging (283.59±0.39%) and metal chelating (459.52±0.11%) activities. Chrysin showed greater antioxidant activity in comparison to the ascorbic acid (standard compound). Similarly, it also exhibited high activity against sarcoma 180 (81.90%) and Chinese hamster V79 (37.2±0.67%) cells at different tested concentrations. Results obtained suggested that chrysin could be used as a potent antioxidant, antineoplastic and cytotoxic agent.
Sensing Hadley cell with space lidar

Abstract. This letter shows that the extent of the Hadley cell could reliably be estimated by measuring the height of the uppermost super-thin clouds in the troposphere with space-borne lidar. Through consecutive multi-year measurements of the height of the uppermost super-thin clouds, a good estimation of the expansion of the Hadley cell could be obtained.
Inferring Implicit Rules by Learning Explicit and Hidden Item Dependency

Revealing complex relations between entities (e.g., items within or between transactions) is of great significance for business optimization, prediction, and decision making. Such relations include not only co-occurrence-based explicit relations but also nonco-occurrence-based implicit ones. Explicit relations have been substantially studied by rule mining-based approaches, including association rule mining and causal rule discovery. In contrast, implicit relations have received much less attention but could be more actionable. In this paper, we focus on the implicit relations between items which rarely or never co-occur while each of them co-occurs with other identical items (link items) with a high probability. A framework integrates both explicit and hidden item dependencies and a corresponding efficient algorithm IRRMiner captures such implicit relations with implicit rule inference. Experimental results show that IRRMiner not only infers implicit rules of various sizes consisting of both frequent and infrequent items effectively, it also runs at least four times faster than IARMiner, a typical indirect association rule mining algorithm which can only mine size-2 indirect association rules between frequent items. IRRMiner is applied to make recommendations and shows that the identified implicit rules can increase recommendation reliability.
THE DEVELOPMENT OF LANGUAGE SPECIFIC PROSODIC PREFERENCES DURING THE FIRST HALF YEAR OF LIFE AND ITS RELATION TO LATER LEXICAL DEVELOPMENT: EVIDENCE FROM GERMAN AND FRENCH

Several studies have demonstrated that infants are sensitive to prosodic cues from birth on and use this kind of information for their earliest steps into the acquisition of words and syntactic regularities of their target language. In the following we will report the results of four experiments with the headturn preference/discrimination paradigm we conducted with German infants between 4 and 6 months of age and with French infants at 6 months of age. Our study addresses the question of whether during this developmental period we can already find evidence that infants have determined the predominant trochaic pattern for bisyllabic words in their surrounding language. We presented 6- and 4-month-olds with trochaic or iambic bisyllabics in German and 6 month-olds with same stimuli in French. The German 6-month-olds showed a listening preference for the trochaic pattern, but not the German 4-month-olds nor the French 6-month-olds. However, 6-month-old French infants were able to discriminate trochaic from iambic bisyllabics. This suggests that the preference for the language dominant pattern of word stress arises between the age of 4 and 6 months in German. In French, in which there is little if any accentuation at the lexical level, French-learning 6-month-olds do not show a preference for any stress pattern, but they are sensitive to acoustic differences between trochaic and iambic bisyllables.
Gasteracantha cancriformis (Araneidae)

The sensory drive theory predicts that signals, sensory systems, and signaling behavior 55 should coevolve. Variation in the sensory systems of prey and predators may explain the diversity of color signals, such as color polymorphism. The spider Gasteracantha cancriformis (Araneidae) possesses several conspicuous color morphs. The aim of the present study was to assess whether the color polymorphism of G. cancriformis may be maintained by pressure from multiple signal receivers, such as prey and predators with 60 distinct color vision systems. In orb-web spiders, the prey attraction hypothesis states that conspicuous colors are prey lures that increase spider foraging success via flower mimicry. However, in highly defended species, conspicuous colors could also be a warning signal to predators. We used color vision modelling to estimate chromatic and achromatic contrast of G. cancriformis morphs as perceived by potential prey and predator taxa. Our 65 results revealed that individual prey and predator taxa perceive the conspicuousness of morphs differently. For instance, the red morph is perceived as quite conspicuous to lepidopteran prey and avian predators, but not by dipteran prey and hymenopteran prey and predators. Therefore, the multiple prey and multiple predator hypotheses may explain the evolution of color polymorphism in G. cancriformis. Other parameters that 70 are not evaluated by color vision models, such as distance, shape, angle, pattern geometry, and contour, could also affect the perception of color morphs by both prey and predators and thereby influence morph survival.
Design and Optimization of High Performance K-band Voltage Controlled Oscillator

A high performance voltage-controlled oscillator (VCO) fabricated in TSMC 90nm CMOS process is designed. Design methods of VCO and its buffer are demonstrated. Furthermore, simulation results of VCO are presented. The VCO and its buffer proposed are integrated into a K-band phase-locked loop (PLL). The proposed VCO including buffer consumes only 27mW from a 1.2V power supply and occupies chip area of 540um×360um. The measurement results exhibit phase noise could achieve -93.5dBc/Hz at 1MHz frequency offset. The measured tuning range of VCO is 22.7GHz-28.6GHz.
West Nile Virus detection by RT-PCR from mosquitoes in a locality of Baja California , Mexico

Background: West Nile virus (WNV) is an important public health flavivirus transmitted to humans by infected mosquitoes. Transmission involves birds and primarily Culex sp. mosquitoes, with humans as incidental hosts but with severe disease in some cases. Methods: A total of 2,333 mosquitoes distributed in 92 pools were sampled in a locality of Mexicali Valley, Baja California, Mexico, between September 2005 and August 2006 using CO2 traps and aspiration tubes. Mosquito samples were identified, divided into groups by species and month of sampling and tested by reverse transcription-polymerase chain reaction (RT-PCR) in order to estimate the relative abundance of each mosquito species per month and the WNV infection rate respectively. Results: A total of seven mosquito species were identified and three of these were found to be infected with WNV: one in October of 2005 corresponding to Aedes vexans; two more in November 2005 and April 2006 corresponding to Culex pipiens/quinquefasciatus; and one more in May 2006 corresponding to Culex tarsalis. Conclusion: The risk of WNV infection in human population in the study area exists, and actions to control mosquito populations for veterinary and public health authorities who conduct surveillance programs in the region are necessary, principally in spring and autumn.
Rationale for A Semantic-Network-Based Hypermedia Learning Environment

This study investigated the effect of hypermedia on enhancing vocabulary learning among non-native English speakers. Participants were 63 volunteer, international graduate students, enrolled in an Intensive English Program, English as a Foreign Language, or graduate program at a mid-Atlantic university. Variables measured included vocabulary learning, computer anxiety and attitude, and learning patterns. Treatment consisted of five sessions using hypermedia courseware, followed by a posttest and retention test 2 weeks later. A statistical analysis of the data showed that the participants' performance in achievement increased significantly; computer anxiety decreased; performance in achievement was found to be related to the levels of computer anxiety; and findings on the effects of field dependence/independence were conflicting. The paper provides the theoretical assumptions for a semantic network-based hypermedia learning environment. Tables and figures illustrate the statistical findings. (Contains 30 references.) (ALF) *********************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. *********************************************************************** U.S. DEPARTMENT OF EDUCATION CMIce of Educational Research and Improvement EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) 0 This document haS been reproduced as received from the person or organization originating it. 0 Minor changes have been made to improve reproduction Quality Points of view or Opinions stated in this CIOCu ment do not necessarily represent official OERI position or policy
Identificación automática de nosemosis en imágenes microscópicas

1 Laboratorio de Informática Aplicada LIA – Licenciatura en Sistemas Universidad Nacional de Río Negro 2 Fundación Barrera Zoofitosanitaria Patagónica (Funbapa) 3 Laboratoria de Investigación y Desarrollo de Tecnologías de Visualización, Computación Gráfica y Código Creativo Universidad Nacional de Río Negro 4 Ingeniería Agronómica y Licenciatura en Cs. del Ambiente Universidad Nacional de Río Negro Sede Atlántica {pcastro, mcambarieri, pbritos, lvivas, sabate}@unrn.edu. ar
Stochastic Gradient Descent for Linear Systems with Missing Data

Traditional methods for solving linear systems have quickly become impractical due to an increase in the size of available data. Utilizing massive amounts of data is further complicated when the data is incomplete or has missing entries. In this work, we address the obstacles presented when working with large data and incomplete data simultaneously. In particular, we propose to adapt the Stochastic Gradient Descent method to address missing data in linear systems. Our proposed algorithm, the Stochastic Gradient Descent for Missing Data method (mSGD), is introduced and theoretical convergence guarantees are provided. In addition, we include numerical experiments on simulated and real world data that demonstrate the usefulness of our method.
Risk factors associated with buffalo mastitis in the Brazilian Northeast 1

Medeiros E.S. , Freitas M.F. L. , Saukas T.N. , Azevedo S.S. , Pinheiro Junior J.W. , Brandespim D.F. , Souza Neto O.L. & Mota R.A. 2011. Risk factors associated with buffalo mastitis in the Brazilian Northeast. Pesquisa Veterinária Brasileira 31(6):499-504. Laboratório de Doenças Infecto-Contagiosas dos Animais Domésticos, Departamento de Medicina Veterinária, Universidade Federal Rural de Pernambuco, Rua Dom Manoel de Medeiros s/n,Dois Irmãos, Recife, PE 52171-900, Brazil. E-mail: rinaldo.mota@hotmail.com Risk factors for subclinical mastitis were studied in 474 buffaloes cows proceeding from four dairy farms located in the states of Pernambuco, Alagoas, Bahia and Ceará, Brazil. Milk samples (n=1896) of lactating buffaloes cows were examined for somatic cells count (SCC) and microbiologic exam, and a questionnaire composed by objective questions was applied in order to obtain animals and herd management data. Risk factors analysis was performed in two stages: univariate and mutivariate analysis. Two analysis were performed, one considering the animal classification for SCC as the dependent variable (<400,000 – negative; >400,000 – positive) and another, considering the microbiologic exam result (positive and negative). In the multivariate analysis considering SCC as dependent variable, the lack of teat washing was the only variable identified as a risk factor, so that farms without this procedure before the milking presented risk of infection of 2.68 (I.C. 1.49-4.83). In the multivariate analysis considering the microbiologic exam as dependent variable, it was observed that properties that performed the cleaning of the milking equipment manually presented risk of 1.85 (I.CI. 1.32-3.64), which was higher than those properties that performed the cleaning mechanically (p=0.019). Risk factors for the occurrence of subclinical mastitis in dairy buffaloes in Brazilian Northeast farms were related to the characteristics of improper milking management. Risk factors identified in this study must be carefully corrected in order to reduce the frequency of mastitis cases, and therefore, contribute for disease control and prevention in the herds.
Species Richness of the Family Ericaceae along an Elevational Gradient in Yunnan, China

Knowledge about how species richness varies along spatial and environmental gradients is important for the conservation and use of biodiversity. The Ericaceae is a major component of alpine and subalpine vegetation globally. However, little is known about the spatial pattern of species richness and the factors that drive that richness in Ericaceae. We investigated variation in species richness of Ericaceae along an elevational gradient in Yunnan, China, and used a variation partitioning analysis based on redundancy analysis ordination to examine how those changes might be influenced by the mid-domain effect, the species-area relationship, and climatic variables. Species richness varied significantly with elevation, peaking in the upper third of the elevational gradient. Of the factors examined, climate explained a larger proportion of the variance in species richness along the elevational gradient than either land area or geometric constraints. Species richness showed a unimodal relationship with mean annual temperature and mean annual precipitation. The elevational pattern of species richness for Ericaceae was shaped by the combined effects of climate and competition. Our findings contribute to a better understanding of the potential effects of climate change on species richness for Ericaceae.
Correlation between Dimensions of Perfectionism and Defense Mechanisms with Narcissism in Students of Islamic Azad University-Tonekabon Branch

The current research has been conducted with the aim of determining the correlation between aspects of perfectionism and defense mechanisms with narcissism in university students. The currents research method is correlative. The population includes all of the university students of Islamic Azad University-Tonekabon Branch in academic year 2012 - 2013 and among them 223 individuals were chosen by cluster random sampling as samples. NPI-16, Hall (1979), dimensions of Hewitt and Felt perfectionism (1991) and defense style questionnaire (DSQ-40) Andrews et al, (1993) were used for data collection. Data were analyzed through the use of Pearson correlation coefficient and multivariate regression in two arranged series simultaneously by the use of SPSS software. Results showed that a positive and significant correlation exists between dimensions of perfectionism (self-oriented, other- oriented, community-oriented) and defense mechanisms (immature and neurotic) with narcissism in university students and a negative significant correlation exists between the defense mechanism (mature) and the narcissism in university students. Also in these two set of series 18% of variance related to narcissism was explained. Normal 0 false false false EN-GB X-NONE AR-SA
Study of Humic Acid Adsorption Equilibrium on Dual Nanofiber PMMA/PVDF

The main objective of this study is to investigate the isotherm sorption of humic acid (HA) from aqueous solution onto dual nanofiber PMMA/PVDF. Batch adsorption experiments were carried out using HA solution as an adsorbate under variety of concentration in the range of 50-200 mg/L. The experimental data were analyzed by the Langmuir, Freundlich and Sips models of adsorption. The experimental results indicate that, the adsorption capacity of HA adsorption increases with an increase in the HA concentrations. The adsorption of HA onto dual nanofiber PMMA/PVDF agrees well with the Langmuir isotherm models with the maximum adsorption capacity was found to be 137.40 mg g -1 at concentration of 100 mg L -1 .
Fuzzy c-Means Classifier with Alpha-cuts in Application for Similarity and Dissimilarity Measures : A Literature Survey

Fuzzy set theory has many applications. One of its important usage is in the classification of images using various classification methods like Fuzzy cMeans (FCM) classifier based on the fuzzy set theory. This paper analyses FCM using a literature review based on various articles ranging from 1987 to 2015 with the keywords to find out how FCM along with alpha-cuts and various similarity or dissimilarity measures have advanced in this period. On the basis of 75 articles, this work has classified the previous FCM classification works using the four categories such as: Land Cover Classification method; Fuzzy cClassification; Measures of similarity and dissimilarity; and Fuzzy alphacuts in accordance with various research problems and domains. The advantages and outputs of the works are demonstrated in this work. Fortunately, this area of work gained its expected acknowledgment after being discovered about 30 years ago. Recent works have shown that many software and hardware are based on fuzzy logic. The main objective of this paper is to provide a comprehensive review of the techniques and resources used. Various usages of FCM along with alpha-cuts has been shown in this work. Classification structures for various applications of FCM have been defined. Selected bibliographies have been identified on the various topics.
Wireless and Passive Sensors for High Temperature Measurements

Surface acoustic waves have been studied for more than 50 years and are mainly used as passive components (resonators, frequency filters, sensors, etc.) for signal processing, and more specifically. As demonstrated by Bao et al, surface acoustic wave devices can operate without on-board power supply using a dedicated interrogation unit. Using appropriate design considerations, these devices are sensitive to external conditions including temperature, pressure, strain or chemical/biological mass loading. Therefore, the unique characteristics of such devices allows for an effective implementation providing new opportunities for remote control of physical and chemical parameters.