Miracle-dz/UniFAR-FTUs huggingface dataset:
Detection of hepatocellular carcinoma using a new approach in multi-resolution analysis of CT images

This paper présents a new technique of multi-resolution analysis of CT images of primary liver cancer. The ripplet transform acts as an efficient multi scale geometric analysis tool for digital images. Its potential towards the image denoising, image compression and image restoration are an emerging research area of image processing and pattern recognition. In this work the role of ripplet transform type II in the domain of feature extraction and classification are examined. The coefficients of ripplet transform directly and statistical features and GLCM features of the transformed domain are extracted and applied to the machine learning algorithm and estimated the accuracy. The classification matches with the labelling done by an experienced radiologist.
Conjugated linoleic acid [CLA] content and fatty acids composition of muscle in rats fed isomers of CLA and selenium

The aim of the study was to determine the influence of conjugated isomers of linoleic acid (CLA) and/or selenium (Se) on the body mass gain of rats, feed intake, and the levels of CLA isomers and some other fatty acids in the femoral muscle. Rat diets enriched in Se, the trans-10,cis-12 isomer and mixtures of the CLA isomers (regardless Se supplementation) tended to decrease body mass gain compared with control rats, while simultaneously supplementation with Se and the trans-10,cis-12 isomer resulted in the highest increase. A mixture of CLA isomers and/or Se supplementation, and the trans-10,cis-12 isomer decreased feed intake, whereas the cis-9,trans-11 isomer, regardless of Se supplementation, only slightly influence of feed intake. Enriching diets with CLA isomers increased their level in muscles as well as the level of non-CLA isomers containing conjugated double bonds (CD). In rats receiving simultaneously Se and mixtures of the CLA isomers or individual CLA isomers the CLA isomers and CD levels in muscles were higher compared with rats fed only the CLA isomers. Rats fed individual isomers or their mixture showed minute changes in C8:0 and C10:0 concentrations in muscles, while the C12:0, C14:0, C16:0 and C18:0 contents were generally lower. A small increase in C10:0 and C16:0 content was found in rats fed the trans-10,cis-12 isomer. Supplementing Se to diets enriched in CLA isomers usually resulted in an increase in the saturated fatty acid content in muscles in comparison with rats fed only CLA isomers. The linoleic acid content in muscles was enhanced by the Se supplemented diets enriched in the trans-10,cis-12 isomer or in the 2% CLA isomer mixture, although 1% mixture of the CLA isomers or the cis-9,trans-11 isomer dosed simultaneously with Se also increased the level of linoleic acid, albeit insignificantly. The Se supplemented diet enriched 184 CLA IN MUSCLES OF RATS FED CLA ISOMERS AND SE 185 CZAUDERNA M. ET AL. in the trans-10,cis-12 isomer or 2% mixture of the CLA isomers produced the highest increase of γ-linolenic acid, the total fatty acid and polyunsaturated fatty acid content in rat muscle.
Effect of physical exercise on the ultrastructural features of skeletal muscle mitochondria in old mice.

Sarcopenia is an age-related decline of muscle mass, strength and quality which represents a potent risk factor for frailty, loss of independence and physical disability in elderly. The mechanisms leading to sarcopenia are still largely unknown and no specific therapy is presently available to counteract its onset or progress. Several studies have stressed the importance of physical exercise as an effective approach to prevent/limit the sarcopenic process. In the present work we have investigated at transmission electron microscopy the effects of treadmill running on the mitochondrial structure in aged skeletal muscle by comparing exercised versus sedentary old (28 months) mice, and using adult (12 months) individuals as control. Our observations demonstrated that ageing induces an accumulation of mitochondria characterised by larger size and longer cristae than in adulthood, and by a frequent association with lipid droplets. The mitochondrial alterations are partially reversed in old mice after treadmill running, thus providing further evidence that an adapted physical exercise may represent a suitable non-pharmacologic approach to limit the negative effects of ageing on the skeletal muscle, even when applied at late age.
TYPICAL ASPECTJ DESIGN FAILURES 2 . 1 Tangled introductions

Aspect-oriented programming comes with new composition mechanisms which permit to modularize code which crosscuts other modules using traditional composition techniques. Although such mechanisms permit a better modularization they do not guarantee it: if the aspect-oriented code is better modularized depends on the design of the aspect-oriented applications. This paper describes typical design failures in AspectJ and introduces a tool implemented on top of AspectJ which permits to specify design constraints on AspectJ code.
Essays on Efficiency in Bargaining

This paper analyses sequential agendas in multi-issue bargaining. A bilateral two-issue alternating offer model with complete information and players with opposing ranking of the issues is studied. The model assumes issues to be linked such that the implementation of any result requires all issues to be settled. The analysis shows that if offers are restricted to single-issues, then the agenda which emerges endogenously leads only exceptionally to inefficient outcomes, i.e. if bargaining frictions are sufficiently low and preferences are sufficiently similar. Moreover, by adopting an ex ante perspective, it is shown that full exploitation of interissue tradeoffs can be guaranteed only if issues are discussed one at a time. As a consequence, it is primarily the sequential agenda which generates ex ante efficient outcomes.
Ground-based remote sensing of thin clouds in the Arctic

Abstract. This paper describes a method for using interferometer measurements of downwelling thermal radiation to retrieve the properties of single-layer clouds. Cloud phase is determined from ratios of thermal emission in three "micro-windows" at 862.5 cm−1, 935.8 cm−1, and 988.4 cm−1 where absorption by water vapour is particularly small. Cloud microphysical and optical properties are retrieved from thermal emission in the first two of these micro-windows, constrained by the transmission through clouds of primarily stratospheric ozone emission at 1040 cm−1. Assuming a cloud does not approximate a blackbody, the estimated 95% confidence retrieval errors in effective radius re, visible optical depth τ, number concentration N, and water path WP are, respectively, 10%, 20%, 38% (55% for ice crystals), and 16%. Applied to data from the Atmospheric Radiation Measurement programme (ARM) North Slope of Alaska – Adjacent Arctic Ocean (NSA-AAO) site near Barrow, Alaska, retrievals show general agreement with both ground-based microwave radiometer measurements of liquid water path and a method that uses combined shortwave and microwave measurements to retrieve re, τ and N. Compared to other retrieval methods, advantages of this technique include its ability to characterise thin clouds year round, that water vapour is not a primary source of retrieval error, and that the retrievals of microphysical properties are only weakly sensitive to retrieved cloud phase. The primary limitation is the inapplicability to thicker clouds that radiate as blackbodies and that it relies on a fairly comprehensive suite of ground based measurements.
DISTRIBUTED CO-OPERATIVE CACHING IN SOCIAL WIRELESS NETWORK (SWNET)

This paper introduces co-operative caching policies for reducing electronic content provisioning cost in Social Wireless Networks (SWNET). SWNET are formed by mobile devices such as laptops, modern cell phones etc. sharing common electronic contents, data and actually gathering in public places like college campus, mall etc. Electronic object caching in such SWNET are shown to be able to minimize the content provisioning cost which mainly depend on service and pricing dependencies between various stakeholders including content provider(CP),network service provider, end consumer(EC). This paper introduces practical network service and pricing model which are used for creating two object caching strategies for minimizing provisioning cost in networks which are homogeneous and heterogeneous object demand. The paper develops analytical and simulation design for analyzing the proposed caching strategies in the presence of selfish user that deviates from networks-wide cost-optimal policies.
ANALYZING THE COLLECTIVE INTELLIGENCE APPLICATION SOFTWARE "WISDOM PROFESSIONAL" FOR ADVERTISING IN (SOCIAL) MEDIA, CASE STUDY: COCA-COLA

The main goal of this article is set to demonstrate how collective intelligence application software works and can be used for advertising purposes. Following this objective, it is aimed to optimize advertising in (social) media for a company or enterprise by using collective intelligence software. To this end, the Wisdom Professional software from MicroStrategy Company is utilized to derive required information. These data are kind of raw data that are derived from the information of Facebook users that are collected in Wisdom Professional. Wisdom Professional includes Facebook information of millions of people such as demographic, geographic, psychographic information and so on. The information of Facebook users in Wisdom Professional are considered to be representative information of the whole population in a sense that what is observed in this sample (i.e. Facebook users in Wisdom Professional) can be extended and generalized for the whole customer population. The data derived from Wisdom Professional are further processed by means of different methods to demonstrate the best possible advertisement options for a specific enterprise. The two utilized methods are Popularity oriented and lift factor methods. The results of analyses reveal that both methods provide with reliable and consistent outcome. As for the application part of this article, Coca-Cola Company is considered to be the chosen case study. Coca Cola fans' information are analyzed in Wisdom Professional to provide best possible advertising channels that this company could benefit by advertising its product in those channels.
Foraminiferal assemblages as an indicator of foreland basin evolution (Carpathian Foredeep, Czech Republic)

This paper presents a model of depositional history in the Karpatian stage, Lower Miocene of the Carpathian Foredeep based on the study of foraminifers. The paleoecological interpretations, and the data on bioevents and biofacies of the Karpatian deposits were obtained through the statistical evaluation of microfauna. The occurrence of rich faunas alternating with impoverished ones indicates unstable conditions in the depositional area. Euryoxybiont foraminifers such as Bolivina div. sp. , Bulimina div. sp. , Praeglobobulimina div. sp. , and Uvigerina div. sp. dominate these faunas. Two biostratigraphical levels containing Uvigerina and an overlying one with Pappina breviformis (Papp and Turn.) were identified. Two stages of the development of a transgression can be distinguished. The first stage spread to the eastern part of the Carpathian Foredeep, where the sediments contain agglutinated foraminifers. The second stage reached the present location of the Karpatian deposits. Later shallow-water sediments in the western part of the Carpathian Foredeep have been eroded away.
Radiation in numerical weather prediction

Radiation is a fundamental process that drives atmospheric flows at all scales, and is key to both improving short-range surface temperature forecasts, and meeting ECMWF’s strategic aim of pushing the boundaries of predictability at the medium-range an d lo ger timescales. This paper provides a detailed assessment of recent radiation developments at E CMWF and the priority areas where progress needs to be made in the coming years. A particular fo cus is placed on the new ‘ecRad’ radiation scheme that became operational in 2017 and will faci lit te future developments. Five ‘Grand Challenges’ for radiation in NWP are then presented: the sur face (particularly coastlines, forests and urban areas), clouds (particularly cloud structure, lo ngwave scattering and 3D radiative effects), clear-sky absorption (particularly the impact of aerosols on monsoon systems, and the water vapour continuum), the middle atmosphere (particularly how reduc ing the large stratospheric temperature biases has the potential to improve predictive skill on mont hly timescales) and efficiency (particularly optimizations in ecRad, and how future effort should r eassess the balance between the spectral, temporal and spatial resolution of the radiation calculati ons).
PRELIMINARY STUDY FOR TECHNOLOGY ENHANCED LEARNING: COMPARATIVE STUDY OF ENGLAND AND NORTHERN CYPRUS

The purpose of this paper is to present the preliminary study findings from an ongoing PhD study. In this paper, the researcher presents the preliminary study that was carried out with a number of schools in England and Northern Cyprus in order to identify the background or big pictures of each country in terms of available ICT tools that are being used by teachers in their teaching, trainings and Continuing Professional Development (CPD) and support that they have received and their integration stage of ICT. A survey method was employed for this preliminary study. A sample of 117 teachers out of 198 was participated to this study. The researcher of this study developed a questionnaire. A descriptive analysis of data reveals that the two countries are very different in their use of ICT and training and support that they have received.
Deep Boltzmann Machine based Breast Cancer Risk Detection for Healthcare Systems

One of the second major cause for tumour fatality among ladies globally is due to the occurrence of breast tumourand greater part of them passes away because of suspended diagnosis of the tumour. But early recognition and anticipation can fundamentally lessen the odds of death. Consequently, initial stage diagnosis of breast tumour is really a basic prerequisite to protect a patients' lifespan. By means of improving medical technologies, for breast tumour prediction, various tumour features have been gathered from Wisconsin Breast Cancer Database (WBCD) of UCI repository. Separation of all the correlated feature data to support the medical syndrome identification is an inspiring, stimulating and time consuming task. To manage this issue, a model with deep learning techniques has been proposed to recognize breast tumour at prime stage. The proposed system makes use of Deep Boltzmann Machine (DBM) for finding an efficient set of features and Deep Neural Network (DNN) classifier is used to classify the women either into benign group or malignant group. The proposed framework is evaluated using specificity, sensitivity and accuracy with the classifiers like support vector machine (SVM), combined neural network (CNN), multilayer perceptron neural network (MLPNN), probabilistic neural network (PNN), recurrent neural network (RNN), Naïve Bayes (NB), SMO and C4.5 used in the existing system for breast tumour classification.
Temporal and Spatial Heterogeneity of Marginal Emissions: Implications for Electric Cars and Other Electricity-Shifting Policies

In this paper, we develop a methodology for estimating marginal emissions of electricity demand that vary by location and time of day across the United States. The approach takes account of the generation mix within interconnected electricity markets and shifting load profiles throughout the day. Using data available for 2007 through 2009, with a focus on carbon dioxide (CO2), we find substantial variation among locations and times of day. Marginal emission rates are more than three times as large in the upper Midwest compared to the western United States, and within regions, rates for some hours of the day are more than twice those for others. We apply our results to an evaluation of plug-in electric vehicles (PEVs). The CO2 emissions per mile from driving PEVs are less than those from driving a hybrid car in the western United States and Texas. In the upper Midwest, however, charging during the recommended hours at night implies that PEVs generate more emissions per mile than the average car currently on the road. Underlying many of our results is a fundamental tension between electricity load management and environmental goals: the hours when electricity is the least expensive to produce tend to be the hours with the greatest emissions. In addition to PEVs, we show how our estimates are useful for evaluating the heterogeneous effects of other policies and initiatives, such as distributed solar and real-time pricing. © 2014 Elsevier B.V. All rights reserved.
New nonlinear markers and insights into speech signal degradation for effective tracking of Parkinson ’ s disease symptom severity

We have recently shown that speech signal degradation can be used to quantitatively predict average Parkinson‟s disease (PD) symptom severity, which is typically evaluated on the Unified Parkinson‟s Disease Rating Scale (UPDRS). In this study, we demonstrate the potential of wavelets to reveal changes in fundamental frequency variations with PD progression. We develop a set of new measures based on wavelets, energy, and entropy, which form robust indicators of the UPDRS. These results demonstrate that PD leads to dissimilar speech patterns in males and females, tentatively taken to indicate different patho-physiological mechanisms.
Six Basic Factors in Handwriting Classification

Effective scientific investigation of any subject depends upon the development of a highly reliable and differentiating set of measures which will form the means by which specified aspects of the problem at hand may be formulated and checked and gradually a body of dependable information can be accumulated. This is true of handwriting as of any other subject. It was felt to be necessary to examine the whole field by achieving some sort of systematic order. The routine work required to complete a classification for handwriting has taken years, but the results of such measures are beginning to show up and may be interesting to workers who approach handwriting from many angles. A classification is arrived at by determining, first of all, those things that do not belong together. A process of analysis and separation has to take place, and for handwriting this was a prolonged and complicated task. Considerable experimentation showed that six major divisions, adaptable to measurement, but not necessarily always measured by a ruler, proved to be an adequate break-down of the first set of graphic factors, which together make up any writing anywhere. These factors are speed, size, slant, spacing, pressure, and form. The method of comparison was resorted to, due to the limitation of experimental conditions. To set up a series of scales of millimeter measures would so enlarge the field as to make practical work impossible.
EPCAL: ETS Platform for Collaborative Assessment and Learning

Most existing software tools for online collaboration are designed to support the collaboration itself instead of the study of collaboration with a systematic team and task management system. In this report, we identify six important features for a platform to facilitate the study of online collaboration. We then introduce the Educational Testing Service Platform for Collaborative Assessment and Learning (EPCAL), which was developed to encompass these features to enable both large-scale online collaboration itself and the research on these collaborations. The collaboration management features of the EPCAL also make it an ideal tool for teachers to carry out computer-supported collaborative learning and assessment activities in classroom settings.
Synchronous Oscillation of Resonator-Coupling Oscillators

Synchronization is common phenomenon in the field of natural science. It should be noted that mutual synchronization phenomenon of oscillators gives various phase states and there have been many investigations on these phenomenon. In previous study, we confirmed the basic synchronization of three oscillators with the same natural frequencies coupled by a resonator. In this study, we investigate oscillation frequency of resonator-coupling three oscillators to carried out the sychronization phenomenon in detail.
The effect of bed permeability on oscillatory boundary layer flow

This experimental study consists of a series of full-scale experiments involving oscillatory boundary layer flow over an impermeable bed and a permeable bed. Velocity measurements have been obtained through particle image velocimetry, and the effect of bed permeability on the velocity profile, phase lead, boundary layer thickness, bed shear stress (as estimated by fitting the log law), and finally the resulting friction factor is presented. For our rough turbulent flows over a permeable bed it has been found that the friction factor is increased by up to 36% and that the friction factor also demonstrates a dependence on Reynolds number.
EMBEDDING -ALGEBRAS INTO C -ALGEBRAS AND C -IDEALS GENERATED BY WORDS

A definition is given for C -ideals related to embedding -alge- bras in C -algebras. The shrinking algorithm on words is defined and related to the question of which words algebraically generate C -ideals. It is proved that all words in the free unital -algebra with one generator generate C - ideals. Finally, the C -ideals generated by some specific words are described.
Explicating Tacit Knowledge Embedded in Nominalisation

This research is a field study on how tacit knowledge is construed by IT professionals through nominalisation in their language and how this knowledge may be explicated in grammar-based interviews. The study was conducted over four months of interviews with a team working on a Content Management System (CMS) redevelopment project in an Australian media organisation. The broad aim of the interviews was to elicit tacit knowledge from these technologists about their work on this project. This paper focuses on a specific aspect of this endeavour: unpacking knowledge about process that was embedded in the talk of the participants through the grammatical feature, nominalisation. We employ linguistic analysis techniques drawn from Systemic Functional Linguistics to achieve this end. While we adopt Polanyi’s theory of tacit knowing, we depart from this theory by arguing that tacit knowledge is carried in language and that linguistic analysis techniques offer rich methods for understanding such knowledge.