Miracle-dz/UniFAR-FTUs huggingface dataset:
The philosophy, politics and economics of finance in the 21st century : from hubris to disgrace

* Introduction: The Nadir of 2008 and its Aftermath 2. Asset Management: Some Considerations on Performance 3. Risk in the Age of Crises 4. Financialisation 5. Is Islamic Finance a Complement to Conventional Western Finance? Underlying Principles and Viability 6. We're Still Dancing: Stakeholder Expectation and its role in Decision Making in the Financial Sector 7. The Impact of the Subprime Financial Crisis on the Eastern European Transition Economies and Why Poland is an Outlier? 8. China as cause and victim of the US subprime financial crisis 9. Default Invariance: A Naive Category Theory of Law and Finance 10. Europe Needs the Liberal Keynes 11. Neologism as Theoretical, Innovation in Economics: The case of 'Financialisation' 12. Ethics: From Negative Regulations to Fidelity to the Event 13. The Bank, its Societal Functions and its Practices: Conflictual Relationships between an Economic Agent and Democracy 14. The Sufficiency Economy: a Thai Response to the Asian Financial Crisis 15. Ethics should not Cloud Business or Financial Decisions: or the enduring power of the Neo-classical Paradigm 16. The state as a potentially immoral catalyst in financial crises 17. The Psychology of Unethical Behavior in the Finance Industry 18. Financial Liberalism and New Institutional Environment: The 2007-08 Financial Crisis as a (de)Regulatory Deadlock 19. Naturalising Techniques and Naturalised Discourses: Thoughts on the Media's Role in the Great Recession 20. The All-encompassing Hijack 21. Heated Debates and Cool Analysis: Thinking well about Financial Ethics 22. Developing Country Perspectives: A look at the Nigerian Banking Sector Crisis 23. Theological and Historical Perspectives on Contemporary Accounting 24. Whither Finance now?
Application of standardised precipitation index for predicting meteorological drought intensity in Beheshtabad watershed, central Iran

Demand for water is on the rise everywhere in the world, particularly in arid and semiarid countries including Iran. Arid and semiarid regions suffer from droughts. The goal of this study is to predict the standardised precipitation index (SPI) for future drought intensity in Beheshtabad watershed, Karun basin, which is located in central Iran. Daily climate series were produced using the recorded data of Shahrekord gaging station of a reference period (1961–1990). Hadley Center Climate Model 3 general circulation model (GCM) with one greenhouse gas emission scenario (A2) has been used to construct daily climate precipitation time series over three future periods (2010–2039, 2040–2069 and 2070–2099). The statistical downscaling model (SDSM) was used to downscale GCM output. SPI for three 30-year future time series was determined on 3, 6, 9 and 12 months. The results indicate that at short time scales, the drought series have a high frequency of drought and short duration instead the SPI values of longer t.
Applying spatial clustering analysis to a township-level social vulnerability assessment in Taiwan

ABSTRACT The degree of social vulnerability may vary according to the conditions and backgrounds of different locations, yet spatial clustering phenomena may exist when nearby spatial units exhibit similar characteristics. This study applied spatial autocorrelation statistics to analyze the spatial association of vulnerability among townships in Taiwan. The vulnerability was first assessed on the basis of a social vulnerability index that was constructed using Fuzzy Delphi and analytic hierarchy process methods. Subsequently, the corresponding indicator variables were applied to calculate standardized vulnerability assessment scores by using government data. According to the results of the vulnerability assessment in which T scores were normalized, the distribution of social vulnerabilities varied among the townships. The scores were further analyzed using spatial autocorrelation statistics for spatial clustering of vulnerability distribution. The Local G statistic identified 42 significant spatial association pockets, whereas the Global G statistic indicated no spatial phenomenon of clustering. This phenomenon was verified and explained by applying Moran's I statistics to examine the homogeneity and heterogeneity of spatial associations. Although both statistics were originally designed to identify the existence of spatial clustering, they serve diverse purposes, and the results can be compared to obtain additional insights into the distribution patterns of social vulnerability.
NBCT : Naive Bayes Clustering Toolkit ( version 0 . 6 )

2 Getting started 2 2.1 What is clustering? 2 2.2 Target data . 2 2.3 Naive Bayes models . 3 2.3. 1 Overall structure . 3 2.3. 2 Attribute distribution (in general) . 3 2.3. 3 Attribute distribution (in detail) . 3 2.4 Running NBCT . 4 2.4. 1 Basic usage . 4 2.4. 2 Output files . 4 2.4. 3 Various execution options . 5 2.4. 4 Auxiliary tool for post-processing . 6
Anger as Seeing Red : Perceptual Sources of Evidence

A class of metaphors links the experience of anger to perceptions of redness. Whether such metaphors have significant implications for understanding perception is not known. In Experiment 1, anger (versus sadness) concepts were primed and it was found that priming anger concepts led individuals to be more likely to perceive the color red. In Experiment 2, anger states were directly manipulated, and it was found that evoking anger led individuals to be more likely to perceive red. Both experiments showed that the observed effects were independent of the actual color presented. These findings extend the New Look, perceptual, metaphoric, and social cognitive literatures. Most important, the results suggest that emotion representation processes of a metaphoric type can be extended to the perceptual realm.
Did Blacklisting Hurt the Tax Havens?

Purpose - This paper tests the widely-held assumption that blacklisting, such as that practiced by the OECD (Organization for Economic Cooperation and Development) and the FATF (Financial Action Task Force), affects the volume of financial activity associated with a tax haven.Design/Methodology/Approach - ARIMA (autoregressive integrated moving average) analysis is used to explore changes across eight measures of in banking-associated activity that occurred when a tax haven was placed on, or removed from, one FATF and two OECD blacklists.Findings - The results are highly varied. Most importantly, no substantial and consistent impact of blacklisting on banking investment in and out of the tax havens was found across 38 jurisdictions. Practical implications - The role of "speech acts" - unconnected with other developments in the havens or foreign policy measures beyond rhetoric - may not be as important for tax haven investment as previously thought. Originality/Value - No rigorous and comprehensive study has previously been done of this important question.
Exploring Underrepresented Student Motivation and Perceptions of Collaborative Learning-Enhanced CS Undergraduate Introductory Courses

This Research Full Paper reports the results of a 30item survey of students in three large-enrollment introductory CS courses in the Fall semester of 2017. This survey was designed to provide insight into the perceptions and motivation differences between students from underrepresented minorities in the field of computing (CS-URMs) and CS non-URMs in large-enrollment introductory computer science (CS) courses. Its focus is on how diverse learners engage in the course and how students from diverse backgrounds (e.g., gender, race/ethnicity) perceive large-enrollment college introductory CS courses that incorporate collaborative learning activities. Survey items were adapted from four validated instruments. Survey responses from 517 students suggest significant differences between CS-URM and CS non-URM students in their perceptions of collaborative learning and instructor support. CS-URMs students’ motivation was significantly higher than CS non-URMs. The study findings have implications for how to engage diverse learners in introductory computing courses. The paper provides suggestions for designing CS introductory courses to be more inclusive learning environments for all.
Liposome interactions with biological systems: a journey into cells

Zwitterionic molecules are used as an alternative to PEGylation to reduce protein adsorption on nanocarriers. Nonetheless, little is known on the effect of zwitterionic modifications on the mechanisms cells use for nanocarrier uptake. In this study, the uptake mechanism of liposomes containing zwitterionic or negatively-charged lipids was characterized using pharmacological inhibitors and RNA interference on HeLa cells to block endocytosis. As expected, introducing zwitterionic lipids reduced protein adsorption in serum, as well as uptake efficiency. Blocking clathrin-mediated endocytosis strongly decreased the uptake of the negatively-charged liposomes, but not the zwitterionic ones. Additionally, inhibition of macropinocytosis reduced uptake of both liposomes, but blocking actin polymerization had effects only on the negatively-charged ones. Overall, the results clearly indicated that the two liposomes were internalized by HeLa cells using different pathways. Thus, introducing zwitterionic lipids affects not only protein adsorption and uptake efficiency, but also the mechanisms of liposome uptake by cells.
A Case Study of the Rustock Rootkit and Spam Bot

In this paper we present a case study of the steps leading up to the extraction of the spam bot payload found within a backdoor rootkit known as Backdoor.Rustock. B or Spam-Mailbot.c. Following the extraction of the spam module we focus our analysis on the steps necessary to decrypt the communications between the command and control server and infected hosts. Part of the discussion involves a method to extract the encryption key from within the malware binary and use that to decrypt the communications. The result is a better understanding of an advanced botnet communications scheme.
Ieee Transactions on Parallel and Distributed Systems 1 Enabling Trustworthy Service Evaluation in Service-oriented Mobile Social Networks

—In this paper, we propose a Trustworthy Service Evaluation (TSE) system to enable users to share service reviews in service-oriented mobile social networks (S-MSNs). Each service provider independently maintains a TSE for itself, which collects and stores users' reviews about its services without requiring any third trusted authority. The service reviews can then be made available to interested users in making wise service selection decisions. We identify three unique service review attacks, i.e., linkability, rejection, and modification attacks, and develop sophisticated security mechanisms for the TSE to deal with these attacks. Specifically, the basic TSE (bTSE) enables users to distributedly and cooperatively submit their reviews in an integrated chain form by using hierarchical and aggregate signature techniques. It restricts the service providers to reject, modify, or delete the reviews. Thus, the integrity and authenticity of reviews are therefore improved. Further, we extend the bTSE to a Sybil-resisted TSE (SrTSE) to enable the detection of two typical sybil attacks. In the SrTSE, if a user generates multiple reviews toward a vendor in a pre-defined time slot with different pseudonyms, the real identity of that user will be revealed. Through security analysis and numerical results, we show that the bTSE and the SrTSE effectively resist the service review attacks and the SrTSE additionally detects the sybil attacks in an efficient manner. Through performance evaluation, we show that the bTSE achieves better performance in terms of submission rate and delay than a service review system that does not adopt user cooperation.
Proposal, evaluation and application of two new methodologies for genetic profiling in association studies

L'objectiu de l'epidemiologia genetica es comprendre els efectes dels gens i els factors ambientals en la salut humana. Un aspecte important es l’estudi del paper de la variabilitat genetica en el risc de malalties comunes com la diabetis, malalties cardiovasculars, cancer, Alzheimer, etc. Aquesta tesi es centra en la identificacio de multiples variants genetiques per predir el risc a la malaltia i presenta dues aproximacions metodologiques per a la identificacio de perfils genetics en presencia d'epistasi. Un efecte epistatic o una interaccio genetica apareix quan l'efecte conjunt de diversos marcadors genetics sobre el fenotip observat no queda explicat pels seus efectes marginals. La principal dificultat en l'estudi de les interaccions genetiques es que generalment s'analitzen centenars o milers de marcadors genetics, i aixo fa inviable l'analisi de totes les possibles interaccions, des del punt de vista computacional. Les metodologies presentades permeten explorar interaccions d'ordre alt amb un cost computacional raonable. Tambe s’aborda la simulacio de dades amb propietats similars a les d’estudis d’associacio genetica.
On Billiard Solutions of Nonlinear PDE’s (cid:3)

This letter presents some special features of a class of integrable PDE’s admitting billiard-type solutions, which set them apart from equations whose solutions are smooth, such as the KdV equation. These billiard solutions are weak solutions that are piecewise smooth and have (cid:12)rst derivative discontinuities at peaks in their pro(cid:12)les. A connection is established between the peak locations and (cid:12)nite dimensional billiard systems moving inside n -dimensional quadrics under the (cid:12)eld of Hooke potentials. Points of reﬂection are described in terms of theta-functions and are shown to correspond to the location of peak discontinuities in the PDE’s weak solutions. The dynamics of the peaks is described in the context of the algebraic-geometric approach to integrable systems.
New Geographic Visualization Tool: A Multiple Source, Quality, and Media (MSQM) Maps

This paper continues the discussion of maps for the future. Current computer-based maps are inadequate to represent the geographic environment. Therefore, a new generation of maps needs to be designed. These new maps must be customized, highly interactive, and realistic. The status of our research is presented together with our effort in developing a prototype multiple source, quality, and media map.
Design Optimization of Coreless Axial-Flux PM Machines with Litz Design Optimization of Coreless Axial-Flux PM Machines with Litz Wire and PCB Stator Windings Wire and PCB Stator Windings

—Coreless axial-ﬂux permanent-magnet (AFPM) machines may be attractive options for high-speed and high-power-density applications due to the elimination of core losses. In order to make full use of the advantages offered by these machines and avoid excessive eddy current losses in windings, advanced technologies for winding conductors need to be employed to suppress the eddy effect, such as the Litz wire and printed circuit board (PCB). In this paper, the best practices for designing Litz wire/PCB windings are discussed and a brief survey of state of the art PCB winding technology is provided. Three coreless AFPM machines are mainly considered. A design optimization procedure based on the multi-objective differential evolution algorithm and 3-dimensional (3D) ﬁnite element analysis (FEA) is proposed to take into account the ac winding losses of Litz wires and PCB traces in the machine design stage. Selected designs are being prototyped and will be tested with a customized test ﬁxture.
15. SEDIMENTARY RHYTHMS AND CLIMATIC FORCING OF PLEISTOCENE-H OLOCENE MIXED CARBONATE/SILICICLASTIC SEDIMENTS OFF THE GREAT BARRIER REEF1

Sediments recovered from the upper-slope and outer-shelf Great Barrier Reef transect (Ocean Drilling Program Leg 133, Sites 819 through 821) contain a high-resolutio n, 1.5-m.y. record of mixed siliciclastic and carbonate sedimentation. More than 30 multimeter-scale couplets of fining- and coarsening-upward sediments having varying proportions of carbonate and authigenic glauconite are present. These couplets stack into cyclic bundles observed in carbonate and magnetic susceptibility data that, in turn, vary systematically with respect to systems tract development deduced from sequence-stratigraphic analysis. At Site 821, these bundles and their variations clearly track relative changes in sea level for the past ~ 1.48 m.y. The data presented suggest that these various levels of cyclicity are expressed as the result of high sedimentation rates along the margin and that the dominant control on their development has been climate variations that modulated variations in sea level and terrigenous influx. The average duration of many of these cycles is in the Milankovitch waveband and is related to both fourth- (102-443 ka) and fifth-order (34-88 ka) cycles of sea-level change. These cycles are examined with respect to their lithology (color, percentage of total foraminifers, bioclasts, siliciclastics, authigenic glauconite, nannofossils, and tunicates), sequence stratigraphy, downhole log characteristics, magnetic susceptibility, and percentage of carbonate. Time series and Fourier transform results from high-resolution magnetic susceptibility and sonic velocity data suggest strong orbital forcing of the sedimentary cycles, although with differing intensities for different depositional packages and time frames. Magnetic susceptibility/carbonate cycles are interpreted as pulses of deposition of fine-grained siliciclastics during times of maximum flooding (along downlapped surfaces) and subsequent highstand progradation. These pulses dilute carbonate and contain fine-grained magnetically susceptible detrital minerals.
Shear and Baroclinic Energy Flux on the Summer New England Shelf

Observations are presented of internal wave properties and energy fluxes through a site near the 70-m isobath on the New England shelf in late summer. Data collected from a shipboard ADCP and microstructure profiler over a three-week period and projected onto dynamic vertical modes reveals large variations in the magnitude and vertical structure of internal waves. Baroclinic energy and shear were primarily associated with low-mode near-inertial and semidiurnal waves and, at times, high-frequency solibores. The energies in each mode varied by factors from 2 to 10 over several days and were not significantly correlated with one another. The associated shear variance was concentrated in the thermocline. However, the strength and vertical range of shear varied significantly throughout the research period and depended sensitively on both the magnitude and evolving vertical mode content of the wave field. Shear during the quasi-two-layer solibores was strong enough to temporarily lower the 4-m Richardson number below the threshold for shear instability. Energy flux through the site came primarily from the mode-1 internal tide, in both linear and nonlinear (solibore) forms. The average energy flux from the first five baroclinic modes was 130 W m 21. A comparison of energy fluxes from each mode and locally measured average dissipation rates suggests that near-inertial and high-mode waves were generated near the experimental site.
The farm animal genetic resources of Turkey: sheep – II – crossbreed and extinct genotypes/breeds

Biodiversity richness indicates the economic and genetic wealth of a country. Turkey is like a bridge between Europe and Asia; hence it has been used by traders, travellers or intruders for centuries which resulted with the existence of considerably different kinds of domestic animals. Although some of the genotypes are extinct or are crucially under the risk of extinction, the domestic livestock resources of Turkey have not been adequately appraised. On one hand new breeds are created by human beings, on the other hand much more breeds are getting extinct because of them. The creation of new breeds contributes to human welfare, but the extinction of native breeds exacerbates human life. In this study domestic livestock biodiversity and their conservation in Turkey is intended to be explained by giving brief examples about the sheep breeds of Turkey.
Urban Biodiversity: Successes and Challenges: Glasgow's water beetles

Water beetles cannot be precisely excised from beetles as a whole. Coleoptera are divided into two major groups, the Adephaga and the Polyphaga. Within the Adephaga the name “Hydradephaga” has been coined to distinguish diving beetles and related species from the ground beetles in the Carabidae. This works fairly well so long as one ignores the fact that many ground beetles are confined to aquatic emergent vegetation or to the water’s edge. The Polyphaga are more difficult, with even the major family the Hydrophilidae including some species mainly living in dung, often a wet habitat but not one usually worked with the pond net! The problem is acute for the leaf beetles (Chrysomelidae) and weevils (Curculionidae and Erirhinidae) that live on wetland plants, as sometimes the host range is quite diverse and may even include trees! The acid test applied here is whether the beetles are more likely to be encountered in the pond net wielded by an aquatic coleopterist than in a sweep net swung by a dry-shod coleopterist.
Mammographic Cancer Identification By Using DCNN (Deep Convolutional Neural Network)- A review

It is recently observed that, most of the women are suffered from the bosom cancer disease all over the world. bosom cancer has become one of the major health challenges. Also it is an extremely difficult and time consuming task for the pathologists to analyse the complicated structure of bosom cancer tumor. During diagnosis, the examination of histopathological images plays an important role. For the feature extraction of these histopathological images, the conventional feature removal method extracts only small level features. Therefore it is necessary to design a proper feature extraction method to extract important features from these histopathological pictures. To extract the high level features automatically from an image, deep learning methods are used. Therefore, in this dissertation work, we used a DCNN (Deep Convolutional Neural Network) to extract the different features of histopathological images. In the first step, we have developed two architectures namely Inception-V3 and Inception-ResNet V2. These two architectures are designed to solve the multi-class and binary issues of classification of histopathological images of bosom cancer. The imbalance problem of histopathological images is present in a different subclasses, where it can be removed by rotating the image in clockwise - anticlockwise, up - down, left - right and in different degrees and for this purpose Ductal Carcinoma is considered as a baseline. The experimental results of this dissertation work shows that the categorization of histopathological pictures of bosom cancer are more superior to the existing methods. However, the Inception-ResNet V2 network executes unverified examination of the histopathological pictures for bosom cancer correctly, and it also correctly extracts the different features from the images. These extracted features are converted into low dimensional space by using auto-encoder network for the analysis of clustering of the image.