Miracle-dz/UniFAR-FTUs huggingface dataset:
Exclusion From Wage Work and Regulation of Capitalism

Unemployment, and especially long-term unemployment, is among the most important causes of social exclusion. Exclusion is often seen as a problem of individuals and as a phenomenon that depends on characteristics of particular individuals or groups. Unemployment and exclusion are, however, strongly affected by economic dynamics and macro-political solutions. They should not be treated solely as problems of individuals. This article analyzes exclusion from wage work as part and parcel of capitalism and dynamics of its politico-economic regulation. Empirically, this writing concentrates on Finnish case, but many of its considerations and findings are interesting and relevant for the readers from the other countries as well. In the beginning of the article, dialectics of exclusion and inclusion in capitalism are illuminated. Secondly, major Finnish trends in unemployment and the economy of the recent 20 years are presented. During this period of time, the Finnish society and economy have gone through two serious economic recessions and the country's economy has changed, Europeanized and globalized considerably. At the same time, unemployment has risen dramatically. Politicians and other actors have attempted to solve the problem of unemployment with diverse means; these are described and analyzed in the third section. These means and initiatives show actually what kinds of policy measures have been possible in the regulative system of the Finnish capitalism. Expressed in more general terms, a socio-economic system reveals its true character by accepting and denying particular developmental possibilities. The article closes by presenting summarizing characterization of exclusion from wage work and regulative system of Finnish capitalism. The final section discusses also future possibilities of socio-economic inclusion since even if certain potentials and possibilities of inclusion have not realized themselves in the recent past, and they may be realized in the future. The rationale of this article consists of shedding light to the dynamics of social exclusion and inclusion in the present capitalism. This article endeavored to overcome dividing lines among social theory, social policy, industrial relations research and political economy, and it is hoped that such an approach would lead to better understanding and more enlighten politics in issues of social exclusion.
Bargaining for corporate responsibility: The global and the local of framework agreements in the USA

Global Framework Agreements (GFAs) are still a marginal topic in political and academic discourses over global governance and corporate responsibility. In functional terms, GFAs are a commitment to include global labor standards with respect to human resource management as part of this broader turn to CR. But to what extent are these intentions and goals actually realized? Are corporations able and willing to implement GFAs in a joint effort together with the unions across a vastly diverse range of institutional settings and national arrangements? And do GFAs have an influence on core elements of a company's business policy decisions? Drawing on the insights from an interdisciplinary and multinational project, this paper uses four case studies to explore the conditions and variations in GFA implementation in the USA. Although we observe, as have others before us, that key matters of business strategy such as investments, acquisitions, restructuring, or relocation are more centralized than corporate policies on labor relations, we provide some evidence that the implementation of GFAs can be moved forward by a confluence of external actor involvement and of corporate strategies motivated by a desire to streamline HRM practices (that include the goals covered by GFAs in their core business practices). This finding of the influence of external actor voice in implementation processes may also have broader explanatory power with respect to CR initiatives in general. And in theoretical terms it allows us to explore the interplay between macro structural explanations like the Varieties of Capitalism approach, and the strategic “micro-political” explanations. Our study, in fact, suggests a strong need to combine these in a more systematic fashion.
Privacy Preserving Based on PCA Transformation Using Data Perturbation Technique

Maintain confidentiality, privacy and security research in data mining (PPDM) is one of the biggest trends. Recent advances in data collection, data dissemination and related technologies have inaugurated a new era of research where existing data mining algorithms should be reconsidered from a different point of view, this of privacy preservation. We propose a simple PCA based transformation approach for various datasets to preserve privacy and maintain accuracy based on clustering. A privacy soil, the proposal to convert the data into nature, conservation saves. The accuracy of clustering before and after privacy preserving transformation was estimated. KeywordsPrivacy; PCA; K-means clustering
The Dynamic of the Splicing of bZIP60 and the Proteins Encoded by the Spliced and Unspliced mRNAs Reveals Some Unique Features during the Activation of UPR in Arabidopsis thaliana

The unfolded protein response (UPR) is a signaling pathway that is activated when the workload of the endoplasmic reticulum (ER) is surpassed. IRE1 is a sensor involved in triggering the UPR and plays a key role in the unconventional splicing of an mRNA leading to the formation of a transcription factor that up-regulates the transcription of genes that play a role in restoring the homeostasis in the ER. In plants, bZIP60 is the substrate for IRE1; however, questions such as what is the dynamics of the splicing of bZIP60 and the fate of the proteins encoded by the spliced and unspliced forms of the mRNA, remain unanswered. In the present work, we analyzed the processing of bZIP60 by determining the levels of the spliced form mRNA in plants exposed to different conditions that trigger UPR. The results show that induction of ER stress increases the content of the spliced form of bZIP60 (bZIP60s) reaching a maximum, that depending on the stimuli, varied between 30 min or 2 hrs. In most cases, this was followed by a decrease in the content. In contrast to other eukaryotes, the splicing never occurred to full extent. The content of bZIP60s changed among different organs upon induction of the UPR suggesting that splicing is regulated differentially throughout the plant. In addition, we analyzed the distribution of a GFP-tagged version of bZIP60 when UPR was activated. A good correlation between splicing of bZIP60 and localization of the protein in the nucleus was observed. No fluorescence was observed under basal conditions, but interestingly, the fluorescence was recovered and found to co-localize with an ER marker upon treatment with an inhibitor of the proteasome. Our results indicate that the dynamics of bZIP60, both the mRNA and the protein, are highly dynamic processes which are tissue-specific and stimulus-dependent.
Regulatory Divergence in Drosophila melanogaster and D. simulans, a Genomewide Analysis of Allele-Specific Expression

Species-specific regulation of gene expression contributes to the development and maintenance of reproductive isolation and to species differences in ecologically important traits. A better understanding of the evolutionary forces that shape regulatory variation and divergence can be developed by comparing expression differences among species and interspecific hybrids. Once expression differences are identified, the underlying genetics of regulatory variation or divergence can be explored. With the goal of associating cis and/or trans components of regulatory divergence with differences in gene expression, overall and allele-specific expression levels were assayed genomewide in female adult heads of Drosophila melanogaster, D. simulans, and their F1 hybrids. A greater proportion of cis differences than trans differences were identified for genes expressed in heads and, in accordance with previous studies, cis differences also explained a larger number of species differences in overall expression level. Regulatory divergence was found to be prevalent among genes associated with defense, olfaction, and among genes downstream of the Drosophila sex determination hierarchy. In addition, two genes, with critical roles in sex determination and micro RNA processing, Sxl and loqs, were identified as misexpressed in hybrid female heads, potentially contributing to hybrid incompatibility.
Registration Tasks for a Hybrid Tracking System for Medical Augmented Reality

Tracking technologies for medical Virtual or Augmented Reality (VR/AR) applications have to fulfill demanding requirements. A hybrid tracking system can merge positive attributes of different tracking technologies, for example optical and electromagnetic, and try to compensate the bad ones. The alignment of two or more tracking systems by means of transforming all measured data from different systems into one common coordinate system is a fundamental precondition. Usage and processing of time stamps assigned to each measurement is a very effective element in order to achieve a higher accuracy in the alignment procedure and during later use. The algorithms for the alignment of tracking systems can also be used for the registration of the patient, another typical task in medical VR/AR applications. This paper describes both procedures in detail, including algorithms and results from test sequences. The representative tests illustrate, that the proposed algorithms provide satisfying results. An overview of the integration of the hybrid tracking system in a medical AR system is given. Adverse conditions like environmental influences on the tracking systems and the identification of corresponding measurements of two tracking systems are discussed.
Policing and the power of persuasion

This text examines the role of the Association of Chief Police Officers (ACPO) within British policing and police policy-making. Based on the first ever empirical study of ACPO, involving interviews with over 60 members of ACPO and many others connected with British policing, the book charts the changing position of ACPO over time and the influence which ACPO has over both policing policy and criminal justice policy more generally. In doing so it draws from a range of themes including patterns of police governance and accountability, police culture and policy networks. It concludes with a critical assessment of the doctrine of "constabulary independence". The book provides an insight into the workings of a body which represents the most senior police officers in the land.
M INIMAL E COLOGICAL S OUND D ESIGN : T HE I SSUE OF SENSE OF PRESENCE IN V IRTUAL E NVIRONMENTS

This paper presents a new sound-based approach for providing an effective sense of presence in virtual environments. Instead of reproducing realistic sounds, our technique is based on finding minimal sound objects and sound events. We present the results from a user study of people’s sound expectations in different physical spaces. Expectation and discrimination are identified as two important constructs to be considered in designing minimal yet effective ecological sound. Our ongoing research into investigating these constructs is described, along with future avenues for research.
Korean Twitter Emotion Classification Using Automatically Built Emotion Lexicons and Fine-Grained Features

In recent years many people have begun to express their thoughts and opinions on Twitter. Naturally, Twitter has become an effective source to investigate people’s emotions for numerous applications. Classifying only positive and negative tweets has been exploited in depth, whereas analyzing finer emotions is still a difficult task. More elaborate emotion lexicons should be developed to deal with this problem, but existing lexicon sets are mostly in English. Moreover, building such lexicons is known to be extremely laborintensive or resource-intensive. Finer-grained features need to be taken into account when determining finer-emotions, but many existing works still utilize coarse features that have been widely used in analyzing only the polarity of emotion. In this paper, we present a method to automatically build fine-grained emotion lexicon sets and suggest features that improve the performance of machine learning based emotion classification in Korean Twitter texts.
Do it yourself haptics: part I

This article is the first of a two-part series intended as an introduction to haptic interfaces. Together they provide a general introduction to haptic interfaces, their construction, and application design. Haptic interfaces comprise hardware and software components aiming at providing computer-controlled, programmable sensations of mechanical nature, i.e., pertaining to the sense of touch. In Part I, we describe methods that have been researched and developed to date to achieve the generation of haptic sensations, the means to construct experimental devices of modest complexity, and the software components needed to drive them. In Part II of this series, we will describe some basic concepts of haptic interaction design together with several interesting applications based on this technology.
Real-time vision based respiration monitoring system

Respiration rate is an important indicator of an individual's health. Existing respiration monitoring systems are usually contact based, and so the sensing device is attached to the subject's body. This creates discomfort to the patient and can interfere with normal breathing. This paper presents a vision based contactless method of monitoring respiration rate. The method involves image and signal processing techniques to extract chest and abdominal movements' information from a sequence of video images recorded using a single video camera. The system provided a real-time respiration monitoring information consisting of a plot of respiration signal and the value of respiration rate. The respiration data could also be stored to allow for off-line analysis to be performed. A caparison of the developed method against a number of contact-based respiration monitoring systems confirmed its effectiveness. The system is currently being further developed to make its operation more robust.
CSPMDS-PREFIXSPAN : MINING CLOSED SEQUENTIAL PATTERNS OVER DATA STREAM SLIDING WINDOWS

Previous studies indicate incremental methods were not used sufficiently and data structures always consumed large memories and long execution time because of lack of pruning method in data stream algorithms. It has shown that obtaining closed patterns always need long time because of pattern comparison among all mining results. So a closed sequential pattern algorithm called CSPMDS-PrefixSpan based on sliding windows over data stream is presented in this paper. The sliding window is separated into several fragments to be mined by PrefixSpan algorithm respectively and the incremental method is developed. PFPS-Tree, FCPS-Tree and PatternTable are defined as novel summary data structures to store the potential frequent sequential patterns effectively. Using PatternTable, it assists in updating the potential frequent patterns in the PFPS-Tree and uses previous mining results effectively. And we prune the PFPS-Tree using the proposed closed detection pruning and window support threshold pruning to form a closed tree FCPS-Tree and output the closed patterns easily. The experiments show that CSPMDSPrefixSpan algorithm has a good secondary support threshold pruning and closed detection performance. Under the same conditions, it overcomes the memory limit and the execution time is reduced compared with some previous algorithms.
Spin fluctuations in nearly magnetic metals from ab initio dynamical spin susceptibility calculations: Application to Pd and Cr 95 V 5

We describe our theoretical formalism and computational scheme for making ab initio calculations of the dynamic paramagnetic spin susceptibilities of metals and alloys at finite temperatures. Its basis is timedependent density functional theory within an electronic multiple scattering, imaginary time Green function formalism. Results receive a natural interpretation in terms of overdamped oscillator systems making them suitable for incorporation into spin fluctuation theories. For illustration we apply our method to the nearly ferromagnetic metal Pd and the nearly antiferromagnetic chromium alloy Cr95V5. We compare and contrast the spin dynamics of these two metals and in each case identify those fluctuations with relaxation times much longer than typical electronic ‘‘hopping times. ’’ There is renewed interest in spin fluctuations in materials close to magnetic order. This is due in part to a realization that nearly critical magnetic fluctuations may be important factors governing the nonconventional properties of a wide range of materials which include the high-Tc ~HTC! superconducting cuprates and heavy fermion systems. 1 The strongly correlated electrons in many of these systems, however, have meant that most theoretical work has concentrated on parametrized models in which the electronic motion is treated rather simply. Another complementary approach is to use an ab initio theory such as time-dependent density functional theory ~TDDFT ! ~ Ref. 2! but apply it to materials where it can be expected to work, i.e., where the effects of electron correlations are not so important, but which otherwise have important similarities to the systems in question. For example, with its perovskite structure containing transition metal ~TM! -oxygen planes Sr2RuO4 has several aspects in common with the HTC materials. But the presence of the 4d TM Ru rather than the narrower band 3d TM Cu means that electron correlation effects are smaller and therefore DFT-based calculations can provide a valuable starting point. Moreover, its exotic superconductivity at low temperature seems likely to be affected by spin fluctuations. 3‐5 Concerning another example, the transition temperature separating paramagnetic and magnetically ordered phases of the cubic transition metal compound MnSi, which has the B20 crystal structure, is driven down to zero temperature upon the application of pressure. In the vicinity of the critical pressure for this quantum phase transition the system exhibits
Quantifying the effects of multiple processes on local abundance: a cohort approach for open populations.

A challenge for species with demographically open populations is to evaluate the relative importance of various processes that together set local abundance. We developed a cohort-based framework for quantifying the influence of an external supply of colonists and subsequent density-independent and density-dependent mortality on local abundance. Two complementary approaches - based on limitation and elasticity - revealed the nature of interactions and nonlinearities among these processes. Data for an Indo-Pacific reef fish were used to document the settler-survivor relationship and to quantify natural variation in settlement. Limitation by density-dependence was two-fold and 20-fold greater than by supply or density-independent mortality, respectively. Elasticity analyses showed that adult abundance was 40% more sensitive to small proportionate changes in supply than in density-dependence. These techniques provide a way to compare across systems, which could enhance our ability to draw general conclusions regarding the processes that shape local abundance of species with open populations.
Image authentication using soft hashing technique

Designing a hash function for multimedia authentication encompasses many issues like robustness to non- malicious distortion, sensitivity to detect malicious manipulations and security. In this paper, we present an image hashing technique that attempts to simultaneously address the robustness, fragility and security issues. This scheme is an improved version of our previously proposed scheme [1] with a wavelet-based smoothening to improve robustness against JPEG compression and a modified intensity-transformation for enhancing the security. Several experimental results are presented to demonstrate the effectiveness of the proposed scheme.
THE OECD 1951-88 GROWTH EXPERIENCE REVISITED

This paper presents panel data evidence on an investment driven growth process for 16 OECD countries over the 1951-88 period, as it is predicted by new growth theory. Investments are hypothesized to depend on demand factors, human capital, and trade union power. The two-equation regression model appears to replicate the data in a satisfactorily way. In the search for the ultimate factors behind economic growth, this twostep approach seems more appropriate than a purely eclectic one. JEL code: 033, 041, 047, 050
Differential time-shared virtual machine multiplexing for handling QoS variation in clouds

Multi-media applications (including those arising in E-health scenarios) can cause temporally varying resource demands in cloud environments. As a result, flexible resource provisioning becomes a key requirement. Cloud computing achieves "provisioning elasticity" by using virtual machine (VM) based resource provisioning. Normal, static VM provisioning has no runtime overhead but fails to deal with unanticipated changes in resource demands. Dynamic provisioning overcomes this problem using live migration of VMs but introduces runtime overhead. To reduce unnecessary VM migration, we propose Differential Time shared VM Multiplexing (DTVM) to help support load adaptability while ensuring efficient resource utilization in cloud datacenters. DTVM looks at possible local (i.e. in the same physical machine) solutions to limit VM migration by providing more resources to high demand VMs obtained from low demand VMs. DTVM effectively allows cloud providers to prioritize among the end-users (i.e. virtual machines). DTVM also allows the end-users to prioritize their tasks in their VMs to finish important tasks at the earliest time. In this paper, we introduce DTVM for cloud environments and assess its potential benefits using CloudSim [6]. The results obtained from our simulation experiments suggest that this approach is both feasible and would be effective for interactive multi-media workloads in cloud environments.
A LVRT method for wind power PMSG system with Z-source inverter

The Z-source inverter employs a unique impedance network to couple the converter main circuit to the power source, it can provide a shoot-through state of inverter bridges to boost voltage, and make it suitable for a wind PMSG grid-connected system. The operation principle of Z-source converter is analyzed. An Active & Reactive power decoupling method is proposed for a double closed-loop control system, which ensures the stability of voltage of the Z-source network capacitor. In order to enhance the low voltage ride-through(LVRT) capability, a combined protection and control strategy including Pulse Block, Battery Energy Storage System, Reverse Power Tracking are proposed. Simulation results demonstrate rapid response of the double closed-loop decoupling method, the effectiveness of the combined protection and control strategy.