Miracle-dz/UniFAR-FTUs huggingface dataset:
Compressed Vertical Partitioning for Full-In-Memory RDF Management

The Web of Data has been gaining momentum in recent years. This leads to increasingly publish more and more semi-structured datasets following, in many cases, the RDF data model based on atomic triple units of subject, predicate, and object. Although it is a very simple model, specific compression methods become necessary because datasets are increasingly larger and various scalability issues arise around their organization and storage. This requirement is even more restrictive in RDF stores because efficient SPARQL resolution on the compressed RDF datasets is also required. This article introduces a novel RDF indexing technique that supports efficient SPARQL resolution in compressed space. Our technique, called k 2 -triples, uses the predicate to vertically partition the dataset into disjoint subsets of pairs (subject, ob- ject), one per predicate. These subsets are represented as binary matrices of subjects × objects in which 1-bits mean that the corresponding triple exists in the dataset. This model results in very sparse matrices, which are efficiently c using k 2 -trees. We enhance this model with two compact indexes listing the predicates related to each different subject and object in the dataset, in order to address the specific weaknesses of vertically partitioned representations. The resulting technique not only achieves by far the most compressed representations, but also achieves the best overall performance for RDF retrieval in our experimental setup. Our approach uses up to 10 times less space than a state of the art baseline, and outperforms its time performance by sev- eral order of magnitude on the most basic query patterns. In addition, we optimize traditional join algorithms on k 2 -triples and define a novel one leveraging its specific features. Our experimental results show that our technique also overcomes traditional vertical partitioning for join resolution, reporting the best numbers for joins in which the non-joined nodes are provided, and being competitive in the great majority of the cases.
Norges Teknisk-naturvitenskapelige Universitet on Directional Metropolis–hastings Algorithms on Directional Metropolis–hastings Algorithms

Metropolis–Hastings algorithms are used to simulate Markov chains with limiting distribution equal to a specified target distribution. The current paper studies target densities on R n. In directional Metropolis–Hastings algorithms each iteration consists of three steps i) generate a line by sampling an auxiliary variable, ii) propose a new state along the line, and iii) accept/reject according to the Metropolis–Hastings acceptance probability. We consider two classes of algorithms. The first uses a point in R n as auxiliary variable, the second uses an auxiliary direction vector. The directional Metropolis–Hastings algorithms considered here generalize previously proposed directional algorithms in that we allow the distribution of the auxiliary variable to depend on properties of the target at the current state. By letting the proposal distribution along the line depend on the density of the auxiliary variable, we then identify proposal mechanisms that give unit acceptance rate. Especially when we use direction vector as auxiliary variable, we get the advantageous effect of large moves in the Markov chain and the autocorrelation length of the chain is small. We illustrate the algorithms for a Gaussian example and in a Bayesian spatial model for seismic data.
The role of mosses in ecosystem succession and function in Alaska's boreal forest.

Shifts in moss communities may affect the resilience of boreal ecosystems to a changing climate because of the role of moss species in regulating soil climate and biogeochemical cycling. Here, we use long-term data analysis and liter- ature synthesis to examine the role of moss in ecosystem succession, productivity, and decomposition. In Alaskan forests, moss abundance showed a unimodal distribution with time since fire, peaking 30-70 years post-fire. We found no evi- dence of mosses compensating for low vascular productivity in low-fertility sites at large scales, although a trade-off be- tween moss and vascular productivity was evident in intermediate-productivity sites. Mosses contributed 48% and 20% of wetland and upland productivity, respectively, but produced tissue that decomposed more slowly than both nonwoody and woody vascular tissues. Increasing fire frequency in Alaska is likely to favor feather moss proliferation and decrease Sphagnum abundance, which will reduce soil moisture retention and decrease peat accumulation, likely leading to deeper burning during wildfire and accelerated permafrost thaw. The roles of moss traits in regulating key aspects of boreal per- formance (ecosystem N supply, C sequestration, permafrost stability, and fire severity) represent critical areas for under- standing the resilience of Alaska's boreal forest region under changing climate and disturbance regimes. Resume´ : Des changements dans les communautes de mousses peuvent alterer la resistance des ecosystemes boreaux aux changements climatiques a cause du role des especes de mousses dans la regulation du pedoclimat et le recyclage biogeo- chimique. Dans cette etude, nous avons eu recours al'analyse de donnees a long terme et a une synthese de la litterature pour etudier le role des mousses dans la succession, la productiviteet la decomposition dans les ecosystemes. Dans les fo- rets de l'Alaska, l'abondance des mousses a une distribution unimodale dans le temps avec un maximum qui survient 30- 70 ans apres un feu. Nous n'avons pas trouved'indice agrande echelle demontrant que les mousses compensent la faible productivitedes plantes vasculaires dans les stations afaible productivite ´. Par contre, un compromis entre la productivite ´
The Rights Of ‘New’ Minorities: Scope And Restrictions

This article discusses the origin and present status of that distinction and argues that most, though not all, rights even in the Framework Convention on National Minorities correspond to rights contained in universal human rights provisions, but agrees that in some contexts states have stronger obligations towards 'old' and settled national minorities than those that can be derived from human rights in general. It has in the past been frequently argued that only 'traditional' or 'old' minorities are entitled or should be entitled under international law to minority rights. There exists a contrary view that the concept of 'minority', and particularly 'national minority' has an established meaning which predates international human rights and which by definition excludes new minorities, which limits the range of minorities to groups of persons that are citizens of the country and have lived there traditionally. Keywords: framework convention; international human rights; international law; minority rights; national minorities
Characterizing electrodermal responses during sleep in a 30-day ambulatory study

Electrodermal activity (EDA) refers to the electrical activity measured on and under the surface of the skin and has been used to study sleep, stress, and mood. While gathering this signal was once confined to the laboratory, it can now be acquired in ambulatory studies through commercially available wearable sensors. In this thesis, we model and analyze electrodermal response (EDR) events (1-5 second peaks in the EDA signal) during sleep in an ambulatory study. In particular, we describe an EDR event detection algorithm and extract shape features from these events to discuss the difference in shape between sleep and wake. We also describe an automatic artifact detection algorithm that we use on over 100,000 hours of EDA data we have collected in the 30-day SNAPSHOT Study from 164 participants. Finally, we model the detected EDR events as a point process using a state-space generalized linear model. We identify a significant influence of recent EDR event history on current EDR event likelihood across different participants. We also use this model to analyze EDR event rates during different periods of the night. Thesis Supervisor: Rosalind W. Picard Title: Professor of Media Arts and Sciences
KCNQ/M Currents in Sensory Neurons: Significance for Pain Therapy

Neuronal hyperexcitability is a feature of epilepsy and both inflammatory and neuropathic pain. M currents [IK(M)] play a key role in regulating neuronal excitability, and mutations in neuronal KCNQ2/3 subunits, the molecular correlates of IK(M), have previously been linked to benign familial neonatal epilepsy. Here, we demonstrate that KCNQ/M channels are also present in nociceptive sensory systems. IK(M) was identified, on the basis of biophysical and pharmacological properties, in cultured neurons isolated from dorsal root ganglia (DRGs) from 17-d-old rats. Currents were inhibited by the M-channel blockers linopirdine (IC50, 2.1 μm) and XE991 (IC50, 0.26 μm) and enhanced by retigabine (10 μm). The expression of neuronal KCNQ subunits in DRG neurons was confirmed using reverse transcription-PCR and single-cell PCR analysis and by immunofluorescence. Retigabine, applied to the dorsal spinal cord, inhibited C and Aδ fiber-mediated responses of dorsal horn neurons evoked by natural or electrical afferent stimulation and the progressive “windup” discharge with repetitive stimulation in normal rats and in rats subjected to spinal nerve ligation. Retigabine also inhibited responses to intrapaw application of carrageenan in a rat model of chronic pain; this was reversed by XE991. It is suggested that IK(M) plays a key role in controlling the excitability of nociceptors and may represent a novel analgesic target.
Exchange Rate Regimes and Macroeconomic Stability in Central and Eastern Europe

The IMF classifications of the Central and Eastern European exchange rate arrangements are heterogeneous. While one group of countries reports tight pegs to the euro, a second group seems to have moved toward (more) exchange rate flexibility. Based on the recent discussion about the accuracy of IMF exchange rate arrangement classifications, low- and high-frequency exchange rate stability in Central and Eastern Europe is explored here. De facto exchange rate stabilization is found to be much more prevalent in Central and Eastern Europe than suggested by de jure exchange rate classifications. Most of the CEE countries peg their currencies to the euro, thereby contributing to a growing euro zone. Nevertheless, as exchange rate stabilization against the euro is pursued with different degrees and with different long-term drifts, intra-regional exchange rates are still far from being unified.
Symptomatic or prophylactic treatment of weekend migraine: an open-label, nonrandomized, comparison study of frovatriptan versus naproxen sodium versus no therapy

Background Migraine often occurs during weekends. The efficacy of frovatriptan, naproxen sodium, or no therapy for the acute or prophylactic treatment of weekend migraineurs was tested in an open-label, nonrandomized pilot study. Methods Twenty-eight subjects (mean age 36 ± 12 years, including 18 females) suffering from migraine without aura were followed up for six consecutive weekends. No treatment was administered during the first two weekends. On the third and fourth weekends, patients were given frovatriptan 2.5 mg and on the fifth and sixth weekends naproxen sodium 500 mg. Treatment was taken on Saturday and Sunday morning, regardless of the occurrence of migraine. Efficacy was evaluated through a diary, where patients reported the severity of migraine on a scale from 0 (no migraine) to 10 (severe migraine) and use of rescue medication. Results The migraine severity score was significantly lower with frovatriptan (4.8 [95% confidence interval (CI) 3.8–5.9]) than with naproxen sodium (5.7 [CI 5.1–6.4], P< 0.05 versus frovatriptan) or no therapy (6.6 [6.2–7.0], P< 0.01 versus frovatriptan). The difference in favor of frovatriptan was more striking in patients not taking rescue medication (frovatriptan, 1.9 [1.5–2.3]) versus naproxen sodium 3.6 [3.0–4.2], P< 0.001) and versus no therapy (5.1 [4.4–5.8], P< 0.001) and on the second day of treatment. The rate of use of rescue medication was significantly (P< 0.05) lower on frovatriptan (12.5%) than on naproxen sodium (31.3%) or no therapy (56.3%). Conclusion This pilot study provides the first evidence of the efficacy of a second-generation triptan as symptomatic or prophylactic treatment for weekend migraine.
Epigenetic regulation of EFEMP1 in prostate cancer: biological relevance and clinical potential

Epigenetic alterations are common in prostate cancer (PCa) and seem to contribute decisively to its initiation and progression. Moreover, aberrant promoter methylation is a promising biomarker for non‐invasive screening. Herein, we sought to characterize EFEMP1 as biomarker for PCa, unveiling its biological relevance in prostate carcinogenesis. Microarray analyses of treated PCa cell lines and primary tissues enabled the selection of differentially methylated genes, among which EFEMP1 was further validated by MSP and bisulfite sequencing. Assessment of biomarker performance was accomplished by qMSP. Expression analysis of EFEMP1 and characterization of histone marks were performed in tissue samples and cancer cell lines to determine the impact of epigenetic mechanisms on EFEMP1 transcriptional regulation. Phenotypic assays, using transfected cell lines, permitted the evaluation of EFEMP1's role in PCa development. EFEMP1 methylation assay discriminated PCa from normal prostate tissue (NPT; P < 0.001, Kruskall–Wallis test) and renal and bladder cancers (96% sensitivity and 98% specificity). EFEMP1 transcription levels inversely correlated with promoter methylation and histone deacetylation, suggesting that both epigenetic mechanisms are involved in gene regulation. Phenotypic assays showed that EFEMP1 de novo expression reduces malignant phenotype of PCa cells. EFEMP1 promoter methylation is prevalent in PCa and accurately discriminates PCa from non‐cancerous prostate tissues and other urological neoplasms. This epigenetic alteration occurs early in prostate carcinogenesis and, in association with histone deacetylation, progressively leads to gene down‐regulation, fostering cell proliferation, invasion and evasion of apoptosis.
IMPACT of the Expected CROP YIELD On the Soybean MARKET In Parana

The objective of this study was to assess the impact of variations in the area and expected yield of soybeans in the Parana state on the market prices. To determine the temporal relationships of precedence among the variables we applied the Granger causality test. The equation for growth rate of the VAR model indicate that only de expection yield and price (5% significance), both in the first time difference, were important to predict the prices behavior. For area, the constant of the model and the first time price difference are important to help explain the growth of the soybean area.
The economics of the Common Market

This book provides an in-depth study of the economic principles underlying the creation of the Common Market and the development of policy ever since the last edition . To take account of all the latest changes Professor Swann has fully updated his discussion of the decision-making institutions, proposed monetary union, the Single European Act and the reformed CAP. Other major aspects - transport and tariff barriers, fisheries and factor movements, social, regional and industrial policy, energy and the environment - are given equally comprehensive treatment. The EC may have always had a political purpose, but its fundamental framework is economic; a definitive description appears in this volume.
Sequential Monte Carlo Methods for Option Pricing

In this article, we provide a review and development of sequential Monte Carlo (SMC) methods for option pricing. SMC are a class of Monte Carlo-based algorithms, that are designed to approximate expectations w.r. t a sequence of related probability measures. These approaches have been used successfully for a wide class of applications in engineering, statistics, physics, and operations research. SMC methods are highly suited to many option pricing problems and sensitivity/Greek calculations due to the nature of the sequential simulation. However, it is seldom the case that such ideas are explicitly used in the option pricing literature. This article provides an up-to-date review of SMC methods, which are appropriate for option pricing. In addition, it is illustrated how a number of existing approaches for option pricing can be enhanced via SMC. Specifically, when pricing the arithmetic Asian option w.r. t a complex stochastic volatility model, it is shown that SMC methods provide additional strategies to improve estimation.
Dynamic rolling-walking motion with Sensory Compensation

New dynamic rolling-walk motion for multi-legged robot with Sensory Compensation is proposed. The motion is realized by using the isotropic leg arrangement and the dynamic center of mass control inspired by bipedal robots. By using the Preview Control of Zero Moment Point with cart-table model based on the bipedal robot technique, the robot's center of mass trajectory is planned for the dynamic motion. The Resolved Momentum Control for manipulating the multilinks robot as a single mass model is also implemented in the system to maintain stability of the robot. In the new dynamic rolling-walk motion, the robot switches between two legs supporting and three legs supporting phases with the Preview Control of Zero Moment Point and Resolved Momentum Control as dynamic motion controllers and Gyro sensor for error compensation to achieve the motion. We analyzed the motion and confirmed the feasibility in the Open Dynamic Engine before implementing the motion in an actual robot.
Study and Comparison of CloudSim Simulators in the Cloud Computing

— Cloud computing is a hot topic all over the world nowadays, through which customers can access information and computer power via a web browser. As the adoption and deployment of cloud computing increase, it is critical to evaluate the performance of cloud environments. Modeling and simulation technologies are suitable for evaluating performance and security issues. Cloud simulators are required for cloud system testing to decrease the complexity and separate quality concerns. Several cloud simulators have been specifically developed for performance analysis of cloud computing environments and CloudSim is a one of them Cloud simulation application. CloudSim enables seamless modeling, simulation, and experimentation of cloud computing and application services. This paper first defines CloudSim and then explores it’s all variants available in CloudSim such as CloudAnalyst, GreenCloud, Network CloudSim, EMUSIM and MDCSim. In the last, it Compares all CloudSim Variant with respect to networking, platform and language.
News Archive Exploration Combining Face Detection and Tracking with Network Visual Analytics

Visual analytics helps analytical reasoning and exploration of complex systems, for which it combines the means of interactive visualization, with the power of data analytics. The recent progress in computer vision techniques opens wide applications in real world video archives. Particularly, recent advances in face detection and recognition have been put under the spotlight. The applications of such techniques are often concern intelligence, or peer recognition in photo posted in social networks. We propose to combine those two domains by demonstrating a visual exploration of over a decade of the news program from the Japanese broadcaster NHK News 7. We derive social networks from face detection and tracking of this large dataset. With the help of a little domain knowledge, we monitor the activity of political public figures and explore the archive. This allows understanding and comparison of the politico-media scene presented by NHK under different Prime Minister's governance. The social networks are interactive, and also allow to explore the multimedia database and explore its video content.
Flexible working needs flexible space?: Towards an alternative workplace strategy

There is considerable debate in both the management and property literature on how human and physical resources can become more flexible in order to be able to respond to the dynamic business environment. Often there is an implication that if staff are working in more flexible ways then the property must also be more flexible. However there are numerous sources of flexibility for both these resources. In terms of staff, flexibility can be defined in terms of contractual, time and location elements. For property, flexibility comes from the financial contracts, physical layout and functional opportunities. There is not necessarily a direct link between the flexibility requirements in these two resources. However, it is clear that the demand drivers for office space are changing. The increase in use of information and communications technology (ICT) has had a direct impact on the underlying business processes and thus the breadth and balance of activities which office space needs to support. ICT has also been key in facilitating the staff flexibility. Together these have led to the development of a new strategy for managing workplaces which differentiates between where the space is located, the way in which the space is designed and how it is used. The challenge for corporate real estate managers is to get beyond the rhetoric of flexibility and understand how space can best support ever‐changing business processes.
An Anomaly based Wireless Intrusion Detection System

In the last decade we have witnessed the birth and the growth of a technology that has very much changed the way we work and live: the IEEE 802.11 also known as Wi-Fi. There are many features that made this technology very popular, some of them are: immediate and seamless connectivity without wires, faster network deployment, scalability easier than wired networks, dynamic environment. Unfortunately deployment and fast growth did not always match the need for security thus leaving many issues unsolved or not addressed. Although the IEEE 802.11 standard has been modified through the years and extended to include stronger cryptographic mechanisms and security policies, many threats are still there, some of them very severe. These threats are very difficult to mitigate since they are enabled by protocol basics which for the moment can not be changed due to legacy devices support. Moreover dealing with radio waves is not the same as dealing with wires. Radio waves spread out to uncontrolled areas and are difficult to contain thus environment control is not feasible. Hence the demand for a technology to monitor malicious activities and detect attacks arises. Intrusion Detection Systems for wireless networks have been researched from different perspectives some of them focus on network topology monitoring, others on different and independent layers traffic analysis others assuming knowledge of network infrastructure. The reader of this thesis is supposed to know about wireless networks, how they work and which are their basic mechanisms. Appendix C [page 81] provides some informations. The project focuses on Infrastructure networks because they are the most common however nothing precludes to use some of the described techniques with Ad-Hoc networks.