Miracle-dz/UniFAR-FTUs huggingface dataset:
Joint virtual machine and network policy consolidation in cloud data centers

Correct implementation of network policies provides secure and high performance network environment for multi-tenant Cloud Data Center (DC), but at the same time, requires substantial effort for manual configuration. While it is reported that 78% of DC downtime is caused by misconfiguration, the dynamic policy configuration and user demands on server consolidation have amplified the challenge of correct implementation. In this paper, we propose joint virtual machine and network policy migrations - Two-way migration - to facilitate the simultaneous need of dynamic server consolidation and policy management. Extensive simulation analysis shows that the proposed Two-way migration can mitigate link utilization at the core and aggregation layers by 90% and 28% respectively while adhering strictly to the network policies.
Ju l 2 00 7 Dark matter and Higgs boson physics

A vector-like colorless fermion doublet and a singlet added to the Standard Model allow a consistent interpretation of dark matter in terms of the lightest neutral particle, as they may help in obtaining successful gauge coupling unification. We analyze in detail the mass range of the lightest neutral particle below the W mass, i.e. in a range of the parameters where the physics of the Standard Model Higgs boson may be substantially affected either directly or indirectly.
Secure routing in Mobile Ad hoc Networks: Laurel verification based Node Selection Strategy

As the nodes are self resourced in ad hoc networks, the denial of service as relay hop by any node is frequent. This is due to resource levels of that node are lower than the threshold, in another act the node may be irrational and selfish. In such cases the irrational or selfish nodes leads to attacks such as black -hole and grey-hole and also causes the poor routing performance under metrics such as throughput, Packet Delivery Ratio and Packet Delivery Fraction. In t his paper, deviced a node laurel verification and update strategy to avoid irrational and selfish nodes from network activities. The laurel verification is done in between periodic intervals and laurel update incorporates at routing completion state. We conducted experiments using simulations build by NS-2, which are promising and optimistic over models stated in recent literature.
Construction of the Object Semantic Hierarchy

An intelligent robot must be able to perceive and reason robustly about its world in terms of objects, among other foundational concepts. The robot can draw on rich data for object perception from continuous sensory input, in contrast to the usual formulation that focuses on objects in isolated still images. Additionally, the robot needs multiple object representations to deal with different tasks and/or different classes of objects [20]. We present the Object Semantic Hierarchy (OSH), which consists of multiple representations with different ontologies. The OSH factors the problems of object perception so that intermediate states of knowledge about an object have natural representations, with relatively easy transitions from less detailed to more detailed representations. Each layer in the hierarchy builds an explanation of the sensory input stream, in terms of a stochastic model consisting of a deterministic model and an unexplained “noise” term. Each layer is constructed by identifying invariants to reduce the previous layer’s noise term. In the final model, the scene is explained in terms of constant background and object models, and low-dimensional pose trajectories of the observer and the dynamic objects. The object representations in the OSH range from 2D regions, to 2D planar components with 3D poses, to structured 3D models of objects. This paper presents the Object Semantic Hierarchy in detail, describes the current implementation, and presents evaluation results.
An overview of Australia’s Phytophthora species assemblage in natural ecosystems recovered from a survey in Victoria

Although Phytophthora species cause serious diseases worldwide, until recently the main focus on disease in natural ecosystems in southern Australia has been on the distribution and impact of P. cinnamomi. However, new Phytophthora pathogens have emerged from natural ecosystems, and there is a need to better understand the diversity and distribution of these species in our natural forests, woodlands and heathlands. From a survey along a 70 km pipeline easement in Victoria, Phytophthora species were isolated from 249 rhizosphere samples and 25 bait bags deployed in 21 stream, river, or wetland locations. Of the 186 Phytophthora isolates recovered, 130 were identified to species based on ITS sequence data. Ninety-five isolates corresponded to 13 described Phytophthora species while additionally 35 isolates were identified as Clade 6 hybrids. Phytophthora cinnamomi was the most common species isolated (31 %), followed by P. elongata (6 %), both species were only recovered from soil. Samples from sites with the highest soil moisture at the time of sampling had the highest yield of isolates. Consistent with other studies throughout the world, Clade 6 species and their hybrids dominated water samples, although many of these species were also recovered less frequently from soil samples. Many of the species recovered in this study have not previously been reported from eastern Australia, reinforcing that Phytophthora species are widespread, abundant and diverse in natural ecosystems. We have probably been underestimating Phytophthora diversity in Australia.
Dysregulation of survival and apoptosis pathways in acute myeloid leukemia: Targeting of NF-κB in AML

Acute myeloide leukemie is een vorm van kanker van een bepaalde type witte bloedcel. Hierdoor functioneren wiite bloedcellen niet goed, terwijl de productie van rode bloedcellen en bloedplaatjes onderdrukt kan zijn. De oorzaak ligt bij het ontstaan van leukemische stamcellen uit normale bloedstamcellen. Gedurende deze transformatie vinden er allerlei veranderingen plaats in een cel, o.a. in het proces van apoptose (geprogrammerde celdood). Dit zorgt er niet alleen voor dat een cel niet doodgaat tijdens de transformatie, maar ook dat een cel resistent kan zijn voor chemotherapie. Bosman onderzocht op het niveau van genexpressie welke veranderingen exact plaatsvinden van apoptose geassocieerde genen. Hij vond o.a. dat TAK1 verhoogd tot expressie komt. Dit is een interessante bevinding aangezien TAK1 betrokken is bij de stimulatie van een overlevingsroute via activatie van NF-kB. Het specifiek remmen van de expressie van TAK1 resulteerde in apoptose van leukemische stamcellen en verminderde de groei van AML cellen in verschillende muismodellen. Deze data suggereert dat door de verhoging van TAK1 in AML stamcellen deze cellen meer afhankelijk worden van deze overlevingsroute. Verder onderzocht hij of de eerste en tweede generatie proteasoom remmers, die o.a. NF-kB remmen, cytotoxisch zijn voor AML stamcellen. De data suggereert dat de proteasoom remmer carfilzomib significant apoptose induceert bij AML stamcellen. Aanvullend onderzoek zal verder nodig zijn om de mate van effectiviteit te bestuderen.
Comparative Analysis of Human B Cell Epitopes Based on BCG Genomes

Background. Tuberculosis is a huge global health problem. BCG is the only vaccine used for about 100 years against TB, but the reasons for protection variability in populations remain unclear. To improve BCG efficacy and develop a strategy for new vaccines, the underlying genetic differences among BCG subtypes should be understood urgently. Methods and Findings. Human B cell epitope data were collected from the Immune Epitope Database. Epitope sequences were mapped with those of 15 genomes, including 13 BCGs, M. bovis AF2122/97, and M. tuberculosis H37Rv, to identify epitopes distribution. Among 398 experimentally verified B cell epitopes, 321 (80.7%) were conserved, while the remaining 77 (19.3%) were lost to varying degrees in BCGs. The variable protective efficacy of BCGs may result from the degree of B cell epitopes deficiency. Conclusions. Here we firstly analyzed the genetic characteristics of BCGs based on B cell epitopes and found that B cell epitopes distribution may contribute to vaccine efficacy. Restoration of important antigens or effective B cell epitopes in BCG could be a useful strategy for vaccine development.
Stratospheric ozone in 3-D models : A simple chemistry and the cross-tropopause flux

Two simple and computationally efficient models for simulating stratospheric ozone in three-dimensional global transport models are presented. The first, linearized ozone (or Linoz), is a first-order Taylor expansion of stratospheric chemical rates in which the ozone tendency has been linearized about the local ozone mixing ratio, temperature, and the overhead column ozone density. The second, synthetic ozone (or Synoz), is a passive, ozone-like tracer released into the stratosphere at a rate equivalent to that of the cross-tropopause ozone flux which, based on measurements and tracer-tracer correlations, we have calculated to be 475±120 Tg/yr. Linoz and Synoz have been evaluated in the UC Irvine chemical transport model (CTM) with three different archived meteorological fields: the Goddard Institute for Space Studies (GISS) general circulation model (GCM) version II′, the GISS GCM version II, and merged forecast data from the European Centre forecast model (EC/Oslo). Linoz produced realistic annual, cross-tropopause fluxes of 421 Tg/yr for the GISS II′ winds and 458 Tg/yr for the EC/Oslo winds; the GISS II winds produced an unrealistic flux of 790 Tg/yr. Linoz and Synoz profiles in the vicinity of the tropopause using the GISS II′ and EC/Oslo winds were found to be in good agreement with observations. We conclude that either approach may be adequate for a CTM focusing on tropospheric chemistry but that Linoz can also be used for calculating ozone fields interactively with the stratospheric circulation in a GCM. A future version of Linoz will allow for evolving background concentrations of key source gases, such as CH4 and N2O, and thus be applicable for long-term climate simulations.
A low power walk for the NAO robot

Generally online walk pattern generators for humanoids are simplified, and don’t produce ideal gaits. Allowing the robot to ‘settle’ into a more natural gait through the modification of the low-level positional controller would provide significant benefits. In this paper we attempt to achieve this, by limiting the power available to each motor in a humanoid, hence restricting how rigidly the joint can follow the generated walk pattern. This approach was evaluated by implementing the control modification on a humanoid robotics platform. The results show a significant improvement in walk speed, efficiency, and robustness. Moreover, the approach used here could be easily applied to any walk pattern generator, as the modification is in the low-level positional control.
Role mining algorithm evaluation and improvement in large volume android applications

Role mining is a very useful engineering method to help administrators set up the mechanism of role based access control for information systems, but not applied in the Android security framework so far. This paper uses large volume Android applications from the Android Market (Google Play Store now), which include 44,971 applications (subjects), 125 permissions, and 222,734 application-permission assignments (application, permission), to evaluate the effectiveness of five popular role mining algorithms: HM, HPr, HPe, GO, and ORCA. Furthermore, according to the features of Android applications, we propose Mine-Tag, an algorithm that generates tags based on the descriptions of Android applications. These tags can be attached to each mined role to help administrators manage the roles. We set up experiments, evaluate algorithms, and discuss the insights of mining methods in Android applications.
A composite algorithm for flow rate and ground reaction force reduction in a hydraulic actuated quadruped robot with kinematic redundancy

A hydraulic actuator has merits of high torque and small size. So it is very useful for a standalone type walking robot. But this hydraulic actuator needs a hydraulic power pack which supplies pressure and flow rate to generate the torque. The weight of the hydraulic power pack is in proportion to the supply pressure and the supply flow. Therefore to generate high torque and large flow, a big and heavy power pack is needed. Especially this hydraulic power pack is a burden to the standalone type walking robot. So a lightweight hydraulic power pack is required for the standalone type walking robot. Also ground reaction force is a major reason to make balancing of the robot unstable in walking robot. In this paper, we propose a redundantly actuated quadruped robot which is actuated by hydraulic actuator. Using the kinematic redundancy of each leg mechanism, flow rate and ground reaction force reduction algorithm is proposed simultaneously. We demonstrate the reduction of the flow rate and ground reaction force of the robot through simulation and experiment.
Automatic Multi-Layer Red-Eye Detection

Red-eye is a frequently encountered problem caused by flash reflection bouncing back into the camera from a person's retina. In this paper, we propose a two-stage automatic red-eye detection method. At the first stage, a series of heuristic filters are used to rapidly remove impossible regions according to constraints on color, smoothness, and size. A multi-layer process is applied at this stage to prevent the influence of surrounding redness of the eye. Moreover, at each layer, the approximate size of pupil can be decided automatically without multi-scaling. At the second stage, an SVM classifier that was trained for eye detection is applied to confirm the remaining candidate regions. Some experimental results on real images show the performance of the propose algorithm.
Tuning method of modified wavelet transform in human sleep EEG analysis

We have developed an automatic discrimination system of human sleep EEG (electroencephalogram) stages based on a wave-shape recognition method. These systems can detect discrete stages (stage MT, W, 1, 2, 3, 4 and REM). But, it is impossible to extract much information in detail by them. Therefore, we tried to continuous wavelet analysis applied to EEG signals in order to extract more precise information for the stages. We have proposed a modified wavelet transform method and an extraction method of time series of peak frequency based on time-frequency analysis. It was confirmed that the modified wavelet transform method was effective, although it was necessary to tune the parameter in the modified wavelet transform in order to get more effective features. In this paper, tuning method of modified wavelet transform is discussed from viewpoint of the feature extraction about human sleep EEG stages. Two types (linear and nonlinear) of tuning methods are proposed. And it is confirmed that nonlinear tuning method based on sigmoid function is effective through the experimental studies.
The Multi-Tenant Data Architecture Design for the Collaboration Service System of Textile & Apparel Supply Chain

Multi-tenant technology is one of key competencies for Software as a Service (SaaS) to achieve higher profit margin by leveraging the economic scale. In China, there are a number of textile & apparel OEM enterprises, but due to the lower value-added products, they can not invest on information platform with very big budget. A collaboration service system supporting multiple tenants can significantly reduce cost of customization, deployment and operation of a great number of textile & apparel enterprises. This paper designs and implements a collaboration service system for textile & apparel supply chain. In this system, all tenants share the same infrastructure and application instance. However, from the user experience, the tenant would naturally dedicate to access and use the service as if there were dedicated ones. Therefore a cost-effective and secure multitenant infrastructure, especially in data access architecture, should be carefully considered. We analyze the key implementation patterns of data access multi-tenancy on aspects of isolation, security and customization. Furthermore the detailed access control flow is demonstrated.
A primary definer online: the construction and propagation of a think tank’s authority on social media

Who has power in the construction of economic news in the United Kingdom? Are social media reshaping how this power is enabled? We examine the public Twitter interactions between journalists, political elites and, what is arguably the United Kingdom’s most important think tank, the Institute for Fiscal Studies (IFS), during the 2015 UK general election campaign. Combining human-coded content analysis and network analysis of Twitter discourse about the IFS during a 38-day period, we explain how and why the authority of this think tank is being translated to social media. We develop a new, social media theory of ‘primary definers’ and show how the political authority on which such roles rest is co-constructed and propagated by professional journalists and political elites. Central to this process is a behaviour we conceptualize and measure: authority signalling. Our findings call into question some of the more sanguine generalizations about social media’s contribution to pluralist democracy. Given the dominance of public service broadcasters in the processes we identify, we argue that, despite the growth of social media, there can be surprising limits on the extent to which contemporary media systems help citizens gain information about the assumptions underlying economic policy.
ACHIEVING SUCCESSFUL IMPLEMENTATION OFIMPROVEMENT PROJECTS IN ELDERLY CAREORGANIZATIONSIMPLEMENTATION OF BREAKTHROUGH PROJECTS IN SPECIALACCOMMODATIONS FOR ELDERLY

Recent innovations in the medical field improve the opportunities to treat diseases and injuries better, even at an advanced age. In addition, the Swedish population is reported as growing steadily older. In order to cope with those challenges, Swedish healthcare organizations in the public sector undertake many different improvement efforts. One of those improvement efforts is the use of the Breakthrough Method in the public healthcare sector. Therefore, the intent of this study to explore how to achieve successful implementation of improvement projects in elderly care organizations and specifically the implementation of a Breakthrough Project. The research concentrates on nursing homes, and especially the caregivers level that is involved directly in patient care. The paper evaluates the means of successful implementation of improvement projects from a learning perspective. Therefore, the formal and informal learning process of caregivers in nursing homes is presented and discussed. In addition, influential factors affecting learning process are also addressed in relation to their impact on the process. Findings of the study indicate the strong need to better understand the learning process of caregivers. Another important finding addresses the lack of a feedback system in nursing homes and aspires to give recommendations to strengthen the means of follow-up systems. In addition, the importance of using formal and informal systems as complimentary systems is also another significant finding which clarifies the importance of communities in the nursing home. Acknowledgements We would like to thank all the people that have contributed to this study and provided their valuable support during the preparation of the thesis. First of all, we would like to thank Björn Ålsnäs for giving us an opportunity to work on such an interesting and challenging topic. We are thankful for all the time and support he has provided during the process of the thesis. With the help of his insights, comments and valuable feedback we were able to develop and finish this research. We also would like to thank Torbjörn Stjernberg for his valuable recommendations and guidance during the process of the thesis. The tutorials and discussions with Torbjörn helped us to clarify our view and to be more creative with the research. Furthermore, we are also thankful to our supervisor, Andreas Diedrich for his reflections and ideas. His advices and insights have also contributed to this thesis. Also, we would like to express a deep appreciation to all the people in nursing homes who …
Incorporating fictionality into the real space: a case of enhanced TCG

This paper strives to investigate the possibilities of minimizing the boundary between the real and the fictional virtual space. As a case study, we have developed Enhanced TCG that replaces real components of the trading card game in the real space with fictional components. It also integrates the real and fictional space using transmedia storytelling. In Enhanced TCG, a player sees the enhanced space using a head mounted display. We found that achieving immersion is a key factor to make our approach successful. The transformation from the real components to fictional components changes the meaning of the real space to more emotionally engage a player beyond the real space. This idea offers a lot of new promising opportunities like enhancing gamification by incorporating fictionality through Ubicomp technologies.
First intron length in mammals is associated with 5’ exon skipping rate

The first introns in eukaryotes are much longer than downstream introns. While the functional roles of large first introns have been studied extensively, investigations into the mechanisms leading up to extreme lengths are limited. Prominently, Hong et al. noted that the first introns are predominantly in 5’ UTR and suggested that its lengthening may have resulted from a 5’-ward shifting of donor site due to a lower selection on splice site, as well as a selection to occlude upstream cryptic translation start sites. Here we suggest exon skipping as an alternative mechanism for first intron lengthening. Exon skipping results in consecutive introns becoming part of a single longer intron. We reasoned that a 5’-biased exon skipping rate could lead to longer introns toward the 5’-end of the gene, especially the first intron. Based on multiple datasets in human and mouse, we indeed found that internal exons toward the 5’-end of the gene are skipped significantly more frequently than the downstream exons. Importantly, we show that 5’-biased exon skipping is supported by consistent 5’-bias in several genomic, epigenomic, contextual, and evolutionary features that can be functionally linked to exon skipping. Interestingly, we found that first introns are enriched for relics of, now defunct, exons, some of which may have been recruited for regulatory functions; a significantly greater-than-expected fraction of such exons are included in cDNAs in other mammals. Overall, our results offer 5’-biased exon skipping as a novel, and arguably more potent, alternative explanation for substantially lengthening of first introns.
A Feature Selection Technique based on Distributional Differences

This paper presents a feature selection technique based on distributional differences for efficient machine learning. Initial training data consists of data including many features and a target value. We classified them into positive and negative data based on the target value. We then divided the range of the feature values into 10 intervals and calculated the distribution of the intervals in each positive and negative data. Then, we selected the features and the intervals of the features for which the distributional differences are over a certain threshold. Using the selected intervals and features, we could obtain the reduced training data. In the experiments, we will show that the reduced training data can reduce the training time of the neural network by about 40%, and we can obtain more profit on simulated stock trading using the trained functions as well.