Miracle-dz/UniFAR-FTUs huggingface dataset:
Static and fatigue behaviour of glass-® bre-reinforced polypropylene composites

This paper is concerned with fatigue of polypropylene/glass-®bre thermoplastic composites produced from a bidirectional woven cloth mixture of E glass ®bres and polypropylene ®bres. The latter becomes the matrix after the application of heat and pressure. This composite was manufactured with a ®bre volume fraction Vf of 0.338. The eect of layer design on the static and fatigue performance was investigated. The S±N curves, the rise in the temperature of the specimens during the tests and the loss of stiness, were obtained and discussed. The loss of stiness was related to the rise of temperature and stress release observed in the material. The eect of load rate on the static properties was also studied and discussed accordingly. Ó 1999 Elsevier Science Ltd. All rights reserved.
Does migration affect tax revenue in Europe

This paper analyses the effects of migration on per capita collected tax revenues. The panel data used includes 25 European Union (EU) countries and covers the period 1996-2010. The research contributes to the debate linking migration and tax, and finds evidence that net migration is a significant factor explaining tax revenues. In the case of EU countries, net migration accelerates to some extent the rise in collected tax, and strongly impacts on the level of tax revenues available per capita.
In vitro studies of human liver alcohol dehydrogenase variants using a variety of substrates.

Alcohol dehydrogenase (ADH) is genetically polymorphic, and large differences in allele frequencies exist between the major human races. Genetic variants at the ADH2 gene locus include the beta 2-ADH ("atypical" ADH) present in 85% of Orientals and the beta 1-ADH ("normal" ADH) present in 85 to 95% of whites. Although the presence of one or the other of these ADH variants does not significantly affect the rate of ethanol oxidation in the living subject, it may affect that of other substrates. The overall objective of this work was to screen in vitro for ADH substrates which might be differentially metabolized by these ADH2variants in living subjects. In an in vitro screening method using autopsy livers at pH 8.5, the formation or disappearance of NADH at 340 nm was measured before and after exposure to 4-methylpyrazole, an ADH-specific competitive inhibitor. The screening test revealed three new substrates and suggested that alcohol substrates fall into two groups. The majority of substrates belonged to a group which was oxidized at a significantly lower rate by the beta 2-ADH as compared to the beta 1-ADH, but this was not the case for a small group which included ethanol. Subsequent kinetic studies of selected alcohols tended to indicate a uniqueness of ethanol kinetics in that both KM and Vmax favored its oxidation by beta 2-ADH rather than by the beta 1 variant. None of the other seven tested alcohols showed a similar differential. Also, reduction of aldehydes and ketones tended to be moderately slower by beta 2- than by beta 1-ADH. (ABSTRACT TRUNCATED AT 250 WORDS)
3D SEM for surface topography quantification – a case study on dental surfaces

3D analysis of surface topography is becoming a more used tool for industry and research. New ISO standards are being launched to assist in quantifying engineering surfaces. The traditional optical measuring instrumentation used for 3D surface characterization has been optical interferometers and confocal based instrumentation. However, the resolution here is limited in the lateral dimension to the wavelength of visible light to about 500 nm. The great advantage using the SEM for topography measurements is the high flexibility to zoom from low magnifications and locating interesting areas to high magnification of down to nanometer large surface features within seconds. This paper presents surface characterization of dental implant micro topography. 3D topography data was created from SEM images using commercial photogrammetric software. A coherence scanning interferometer was used for reference measurements to compare with the 3D SEM measurements on relocated areas. As a result of this study, measurements emphasizes that the correlation between the accepted CSI measurements and the new technology represented by photogrammetry based on SEM images for many areal characterization parameters are around or less than 20%. The importance of selecting sampling and parameter sensitivity to varying sampling is high-lighted. Future work includes a broader study of limitations of the photogrammetry technique on certified micro-geometries and more application surfaces at different scales.
PRIMEX: rapid identification of oligonucleotide matches in whole genomes

SUMMARY PRIMEX (PRImer Match EXtractor) can detect oligonucleotide sequences in whole genomes, allowing for mismatches. Using a word lookup table and server functionality, PRIMEX accepts queries from client software and returns matches rapidly. We find it faster and more sensitive than currently available tools. AVAILABILITY Running applications and source code have been made available at http://bioinformatics.cribi. unipd.it/primex
A Modified Rough Fuzzy ?Clustering -Classification? Model For Gene ExpressionData

Microarray technology is one of the important biotechnological means that has made it possible to simultaneously monitor the expression levels of thousands of genes during important biological processes and a cross collections of related samples . An important application of microarray data is to elucidate the patterns hidden in gene expression data for an enhanced understanding of functional genomics. A microarray gene expression data set can be represented by an expression table, where each row corresponds to one particular gene, each column to a sample or time point, and each entry of the matrix is the measured expression level of a particular gene in a sample or time point, respectively. However, the large number of genes and the complexity of biological networks greatly increase the challenges of comprehending and interpreting the resulting mass of data, which often consists of millions of measurements. A first step toward addressing this challenge is the use of clustering techniques, which is essential in pattern recognition process to reveal natural structures. Recent decades, more and more researchers study on gene expression profile analysis which provides a more precise and reliable way for disease diagnosis and treatment when compared with traditional cancer diagnosis approaches based on the morphological appearance of cells.Through this research we mainly aim toStudy and analyse different clustering and classification model regarding gene expression data, Design and develop an efficient method for gene expression data clustering and classification finally Conduct experimental analysis to evaluate the proposed methodology to prove the significance of the method
An Intraarticular Sacroiliac Steroid Injection Under the Guidance of Computed Tomography for Relieving Sacroiliac Joint Pain: A Clinical Outcome Study with Two Years of Follow-Up

Hastalar ve yöntemler: Ocak 2009 Aralık 2011 tarihleri arasında SİE ağrısı olan ve BT eşliğinde eklem içi steroid ve lokal anestetik enjeksiyonu yapılması planlanan toplam 46 hasta (18 erkek, 28 kadın; ort. yaş 52.7 yıl; dağılım 41-65 yıl) çalışmaya dahil edildi. Uygun hazırlık sonrası, 80 mg triamsinolon asetonid ve 4 cc bupivakain hidroklorür karışımı BT eşliğinde enjekte edildi. Enjeksiyon öncesi ve sonrası ağrının derecesi görsel analog skalası (GAS) kullanılarak değerlendirildi. Klinik takip enjeksiyon sonrası ilk gün, ilk hafta, üçüncü hafta, altıncı ay ve son kontrol olarak gerçekleştirildi. Enjeksiyon öncesi ve sonrası GAS skorları arasındaki fark istatistiksel olarak değerlendirildi.
Max–min utility fair flow management for networks with route diversity

A regional central manager is employed to set aside, for the regional (or back‐bone) network that it manages, for each flow class, communications capacity resources for a specific future time horizon. In the context of such a traffic management operation, a longer temporal scale is involved in controlling the admission and distribution of flows across the network. For management scal‐ability purposes, flows are aggregated into flow classes. Furthermore, we consider a network operation under which multiple simultaneously activated routes are employed, across possibly distinct segments, to distribute traffic between identified source–destination pairs. We aim to ensure that the utility assigned to each class is as high as feasibly possible while striving to raise the utility gained by all classes in a max–min fair manner. In doing so, we incorporate the communications capacity constraints that are imposed by the underlying hybrid of directional and/or multiple‐access wireline and wireless communications media employed across the network system. We develop and present in this paper an optimal algorithm for solving such a traffic management problem. It yields multi‐utility‐based max–min fair distributions of flow rates, per each class, across the specified multitude of simultaneously activated multi‐segment routes. To guarantee that admitted flows are granted their desired capacity resources (and targeted corresponding utility levels), the selection of optimal flow distributions across the network routes is combined with the use of a flow admission control scheme that serves to optimally limit the aggregate rate of flows admitted for each flow class. As illustrative examples, we demonstrate the effectiveness of our solution in comparing its performance with that obtained under the use of a traffic regulation scheme that is not overlaid with a traffic management mechanism that serves to set aside resources for the support of flow classes. We also illustrate the use of our optimal algorithm for determining the optimal placement of unmanned aerial vehicle platforms that serve to supplement a terrestrial transport segment with a space‐based one. Copyright © 2010 John Wiley & Sons, Ltd.
"Forward-Thinking" in U.S. Biobanking.

AIMS Do biobanks enact policies and plans that allow them to anticipate and respond to potential challenges? If a biobank has one such policy or plan, is it likely to have more? Using survey data from 456 U.S. biobanks, we assess four possible indicators of such "forward-thinking. " METHODS We present response frequencies and cross-tabulations regarding policies for return of results and ownership of specimens, and for having a formal business plan and a plan for what happens to specimens if the biobank closes. We analyze the relationships among these indicators, using chi-square for tests of statistical significance. RESULTS Policies-Sixty-two percent of biobanks have a policy about returning individual research results; 70% have a policy designating ownership of specimens and/or technology. Having these two policies is significantly related (p < 0.001). Plans-34% of biobanks have a formal business plan; 26% have a written plan for what will happen to the specimens if the biobank closes. Having these two plans is significantly related (p < 0.001). Relationships among indicators-only 7% of biobanks are forward-thinking across all four indicators; 12% are forward-thinking across none. DISCUSSION The two policies we examined tend to occur together, as do the two plans. These policies and plans seem to tap different aspects of accountability and responsiveness. Specifically, the policies reflect issues most commonly raised in the ethical and legal literature on biobanking, while the plans are indicators of sustainability, a separate area of concern in biobanking.
A comparison of feature extraction techniques for malware analysis

The manifold growth of malware in recent years has resulted in extensive research being conducted in the domain of malware analysis and detection, and theories from a wide variety of scientific knowledge domains have been applied to solve this problem. The algorithms from the machine learning paradigm have been particularly explored, and many feature extraction methods have been proposed in the literature for representing malware as feature vectors to be used in machine learning algorithms. In this paper we present a comparison of several feature extraction techniques by first applying them on system call logs of real malware, and then evaluating them using a random forest classifier. In our experiment the HMM-based feature extraction method outperformed the other methods by obtaining an F-measure of 0.87. We also explored the possibility of using ensembles of feature extraction methods, and discovered that combination of HMM-based features with bigram frequency features improved the F-measure by 1.7%.
Human cumulative culture: a comparative perspective

Many animals exhibit social learning and behavioural traditions, but human culture exhibits unparalleled complexity and diversity, and is unambiguously cumulative in character. These similarities and differences have spawned a debate over whether animal traditions and human culture are reliant on homologous or analogous psychological processes. Human cumulative culture combines high‐fidelity transmission of cultural knowledge with beneficial modifications to generate a ‘ratcheting’ in technological complexity, leading to the development of traits far more complex than one individual could invent alone. Claims have been made for cumulative culture in several species of animals, including chimpanzees, orangutans and New Caledonian crows, but these remain contentious. Whilst initial work on the topic of cumulative culture was largely theoretical, employing mathematical methods developed by population biologists, in recent years researchers from a wide range of disciplines, including psychology, biology, economics, biological anthropology, linguistics and archaeology, have turned their attention to the experimental investigation of cumulative culture. We review this literature, highlighting advances made in understanding the underlying processes of cumulative culture and emphasising areas of agreement and disagreement amongst investigators in separate fields.
Signal stripping based sensing parameter estimation in perceptive mobile networks

We propose signal stripping based approaches for estimating detailed channel composition parameters for sensing in the recently proposed perceptive mobile networks where simultaneous communication and radar sensing is performed. Via reconstructing a (differentiated) channel matrix, we obtain a signal model which can be solved by conventional compressive sensing (CS) techniques. Parameter estimation methods based on a 1-D CS algorithm are proposed and their effectiveness is validated by provided simulation results.
An agent-based modeling approach to assess coordination among humanitarian relief providers

Coordination between humanitarian organizations is critical during the response effort to a disaster, as coordinating aid improves efficiency, reduces duplication of efforts, and ultimately leads to better outcomes for beneficiaries. One particular challenge arises when temporary facilities must be established post-disaster due to the destruction of buildings. For example, the 2015 Nepal earthquakes created a need for the placement of over 4,000 temporary learning facilities after several school buildings were damaged or destroyed. It is important that humanitarians coordinate well to fill these needs efficiently and effectively, while maintaining equity among beneficiaries in the affected areas. This means ensuring that enough facilities are provided in a timely manner, and are distributed fairly to all in need. The goals of this thesis are to study coordination strategies focusing primarily on the placement of temporary educational facilities for children following a disaster. This research also aims to gather useful data by surveying active humanitarians in order to better understand their decisions made in the field. This work uses the results of this survey, along with publicly available data published after the 2015 Nepal earthquakes to create an agent-based simulation model, and uses the Nepal case study to demonstrate the efficacy of the model framework. This research finds that organizations’ initial location of operation can greatly impact the number of facilities they are collectively able to establish, the geographic disparity across the region, and the organizations’ utilization. Specifically, while focusing efforts on the districts with the most need is most efficient and effective, a more uniform approach yields a more equitable response. This work also finds that there can be a trade-off between overall effectiveness and the number of partnerships established in the field. These findings show a need for further study into the intricacies of coordination between humanitarian workers. This author advocates for the use of information sharing mechanisms among practitioners, as well as further utilization of agent-based modeling as a means of studying the complex nature of disaster response. Specifically there is a need to further study educational needs as a logistical problem, and strategies for solving the post-disaster facility location problem.
Cannabinoid regulation in identified synapse of terrestrial snail

In the terrestrial snail a direct monosynaptic glutamatergic connection between the primary sensory neuron and a premotor interneuron involved in withdrawal behaviour can be functionally identified using electrophysiological techniques. We investigated the involvement of cannabinoids in regulation of this synaptic contact. The results demonstrate that the specific binding sites for agonists to mammalian type 1 cannabinoid receptors (CB1Rs) exist in the snail's nervous system. Application of a synthetic cannabinoid agonist anandamide selectively changed the efficacy of synaptic contacts between the identified neurons. A decrease in the long‐term synaptic facilitation of the synaptic contact elicited by high‐frequency nerve tetanization in the presence of cannabinoid agonist anandamide was observed, suggesting a possible role of endocannabinoids in regulation of plasticity at this synaptic site. The selective antagonist of CB1Rs [N‐(piperidin‐1‐yl)‐5‐(4‐iodophenyl)‐1‐(2,4‐dichlorophenyl)‐4‐methyl‐1H‐pyrazole‐3‐carboxamide] AM251 bath application was changing the efficacy of the synaptic contact only when the postsynaptic neuron had been intracellularly activated before its application. This observation implies an involvement of endocannabinoids in plasticity phenomena induced by activity in the postsynaptic target. Additional support of endocannabinoid involvement in synaptic function at this site was given by experiments in which AM251 blocked the short‐term suppression of synaptic excitation evoked by low‐frequency nerve tetanization, a phenomenon qualitatively similar to cannabinoid‐dependent synaptically evoked suppression of excitation demonstrated in the mammalian nervous system. The results of the present study suggest an involvement of cannabinoids in the regulation of synaptic efficacy. Further, anandamide could be a candidate for an endogenous neuromessenger involved in plasticity processes.
Stereotactic Procedures for Molecular Neurosurgery

Stereotactic methods combined with modern computing power and imaging data bases provide powerful options for molecular neurosurgery. Point-in-space and volumetric computer-assisted imaging-based tumor stereotactic procedures, whose original application for neuroablative treatment of movement disorders and for the biopsy, interstitial irradiation, and resection of brain tumors, can easily be modified for the preplanned and precise delivery of genetic agents to an imaging-defined anatomical target volume. These techniques would provide more uniform coverage and dose levels of the therapeutic material within the defined target structure.
Mechanism of water stress-induced xylem embolism.

We investigated the hypothesis that water stress-induced xylem embolism is caused by air aspirated into functional vessels from neighboring embolized ones (e.g. embolized by physical damage) via pores in intervessel pit membranes. The following experiments with sugar maple (Acer saccharum Marsh.) support the hypothesis. (a) Most vessels in dehydrating stem segments embolized at xylem pressures < -3 megapascals; at this point the pressure difference across intervessel pits between air-filled vessels at the segment's ends and internal water-filled vessels was >3 megapascals. This same pressure difference was found to be sufficient to force air across intervessel pits from air injection experiments of hydrated stem segments. This suggests air entry at pits is causing embolism in dehydrating stems. (b) Treatments that increased the permeability of intervessel pits to air injection also caused xylem to embolize at less negative xylem pressures. Permeability was increased either by perfusing stems with solutions of surface tension below that of water or by perfusion with a solution of oxalic acid and calcium. The mechanism of oxalic-calcium action on permeability is unknown, but may relate to the ability of oxalate to chelate calcium from the pectate fraction of the pit membrane. (c) Diameter of pores in pit membranes measured with the scanning electron microscope were within the range predicted by hypothesis (</=0.4 micrometer).
Automated Annotation of Sensor data for Activity Recognition using Deep Learning

: Within this work-in-progress, we aim to automate the annotation of Sensor data for generating training data for Activity Recognition (AR) of multiple persons. Usually, the activities are executed and recorded from test persons under the supervision of an instructor, which may influence in many cases the natural behaviour of the test persons and the authenticity of the data. In this work, we suggest how this influence can be reduced and how the Sensor data can be annotated automatically by using video capturing, openpose[Ca17] for extracting human key points and a neuronal network to classify the activities. By automatically annotating the selected activities we show the feasibility of our approach.
The main categories of disclosures concerning control over financial reporting: The practice of companies listed on the Warsaw Stock Exchange

The aim of this paper is to answer the question whether, and, if so, to what extent, control over financial reporting is exercised in practice. An attempt was made to measure the control by analysing the disclosures regarding the control over financial reporting which were included in the annual reports and statements on corporate governance. The annual reports of the companies listed on the WSE were the subject of the research. The research problems presented in this article with regard to the disclosures about the control over financial reporting have only been discussed to a limited extent in the literature. It seems that the list of disclosures is an important part of this paper. It can serve as a reference point for the development of a disclosure index and, additionally, provide a basis for a verification of research questions that may be posed in the future. The results of the study indicate that there was no single form of disclosing the information on internal control and risk management systems in relation to financial reporting in the reporting practices of the public companies listed on the Warsaw Stock Exchange in 2011. The disclosures were different both in terms of the degree of detail and the content. The companies listed on the WSE presented the information on control over financial reporting within 13 major categories of disclosures identified in the study.