Miracle-dz/UniFAR-FTUs huggingface dataset:
Thermodynamics of Kerr-Newman-AdS black holes and conformal field theories

We study the thermodynamics of four-dimensional Kerr-Newman-AdS black holes both in the canonical and the grand-canonical ensemble. The stability conditions are investigated, and the complete phase diagrams are obtained, which include the Hawking-Page phase transition in the grand-canonical ensemble. In the canonical case, one has a first-order transition between small and large black holes, which disappears for a sufficiently large electric charge or angular momentum. This disappearance corresponds to a critical point in the phase diagram. Via the AdS/CFT conjecture, the obtained phase structure is also relevant for the corresponding conformal field theory living in a rotating Einstein universe, in the presence of a global background U (1) current. An interesting limit arises when the black holes preserve some supersymmetry. These BPS black holes correspond to highly degenerate zero-temperature states in the dual CFT, which lives in an Einstein universe rotating with the speed of light.
Factor Not Require TNF Receptor-Associated IL-17 Signaling for mRNA Stabilization Does

IL-17 alone is a relatively weak inducer of gene expression, but cooperates with other cytokines, including TNF- (cid:1) , to generate a strong response in part via prolongation of mRNA t 1/2 . Because TNFR-associated factor 6 (TRAF6) has been reported to be essential for signaling by IL-17, we examined its involvement in IL-17-mediated mRNA stabilization. Although overexpression of TRAF6 in HeLa cells activates NF- (cid:2) B, it does not stabilize transfected KC mRNA. Furthermore, a dominant-negative TRAF6 abrogates NF- (cid:2) B activation, but does not block IL-17-induced chemokine mRNA stabilization. IL-17 can stabilize KC and MIP-2 mRNAs comparably in TNF- (cid:1) -treated mouse embryo ﬁbroblasts from TRAF6 (cid:3) / (cid:3) and TRAF6 (cid:4) / (cid:4) mice. TRAF6 is known to couple upstream signals with activation of p38 MAPK and mitogen activated protein kinase activated protein kinase 2, both of which have been shown to be important for Toll/IL-1R-mediated mRNA stabilization in various cell types. Inhibition of p38 MAPK, however, does not block IL-17-induced KC mRNA stabilization, and IL-17 can stabilize KC mRNA equally in mouse embryo ﬁbroblasts from both wild-type and mitogen activated protein kinase activated protein kinase 2/3 doubly-deﬁcient mice. Finally, IL-17 can amplify the levels of multiple TNF- (cid:1) -stimulated mRNAs in wild-type and TRAF6-deﬁcient cells, but not in cells from Act1 (cid:4) / (cid:4) mice. Collectively, these ﬁndings demonstrate the existence of a TRAF6/p38 MAPK-independent pathway that couples the IL-17R with enhanced mRNA stability. Because the most potent effects of IL-17
VoIPiggy: Analysis and Implementation of a Mechanism to Boost Capacity in IEEE 802.11 WLANs Carrying VoIP Traffic

Handling voice traffic in existing WLANs is extremely inefficient, due to the large overhead of the protocol operation as well as the time spent in contention. In this paper, we propose a simple scheme (VoIPiggy) to improve the efficiency of WLANs with voice traffic. The key idea of the mechanism is to piggyback voice frames onto the MAC layer acknowledgments, which reduces both the frame overhead and the time wasted in contention. To quantify the gains of our proposal, we first study its performance by means of a capacity and delay analysis of a WLAN operating under the VoIPiggy mechanism. Then, we present an implementation of the mechanism using commercial off-the-shelf devices, which involves programming at the driver and firmware levels. The performance of the proposed scheme is evaluated in a large-scale testbed consisting of 30 devices. Our extensive measurements, which are comprised of different network conditions in terms of number of active nodes, traffic load and transmission rates, confirm that the experimental results match the analytical ones, and show a dramatic performance improvement for both “voice only” and “voice and data” scenarios.
A Description Logic Framework for Semantic Web Service Composition

Motivated by the need for a semantic web compatible and algorithmically manageable formalism for service composition in knowledge grid, a framework based on description logic reasoning is proposed to build composite services from Web services that would otherwise not be considered by service composition approaches based on semantic matchmaking of services. By reasoning over the types of individuals involved in service composition instead of those individuals, the proposed framework is also applicable to Web services that are otherwise not properly handled by approaches based on classic Al planning.
Arab and Jewish Students' Attitudes towards Multiculturalism in Israel: The Moderating Role of Ethnic Identity

Israeli society presents a particularly interesting case of multicultural existence. The relations between Arabs and Jews are the most difficult and sensitive among the different groups in Israel, due to the ongoing Jewish –Palestinian historical conflict. Higher education campuses in Israel serve as socialization agencies where students from both ethnic groups share a mutual learning environment and need to cooperate in a predominant Jewish milieu. The present study examined group differences in general and specific attitudes towards multiculturalism. In addition the moderating role of ethnic identity in the effect of ethnic group on attitudes toward general and specific multiculturalism was studied. Results indicated group differences in general and specific attitudes towards multiculturalism. Jewish students have more positive attitudes toward general multiculturalism and more negative attitudes toward specific multiculturalism than Arab students. In addition a moderating effect of ethnic identity on ethnic group attitudes toward specific multiculturalism was found. These findings suggest the importance of understanding college climate at interpersonal and institutional levels and of assessing impact for both majority and minority students. DOI: 10.5901/mjss.2013. v4n14p303
Learning Feature Selection Dependencies in Multi-task Learning

A probabilistic model based on the horseshoe prior is proposed for learning dependencies in the process of identifying relevant features for prediction. Exact inference is intractable in this model. However, expectation propagation offers an approximate alternative. Because the process of estimating feature selection dependencies may suffer from over-fitting in the model proposed, additional data from a multi-task learning scenario are considered for induction. The same model can be used in this setting with few modifications. Furthermore, the assumptions made are less restrictive than in other multi-task methods: The different tasks must share feature selection dependencies, but can have different relevant features and model coefficients. Experiments with real and synthetic data show that this model performs better than other multi-task alternatives from the literature. The experiments also show that the model is able to induce suitable feature selection dependencies for the problems considered, only from the training data.
Real-time communication based on IEEE 802.11b/g for automation of agricultural vehicles

Current farming practices try to reduce soil compaction, carbon-dioxide emission, fuel consumption and to fulfill further environmental goals. Another goal of current farming practices is to minimize the duration for handling a field, in order to become independent of extreme weather conditions. Such environmental and economic goals may be met through increased automation and robotization in agriculture. As known from the industrial sector, automation and robotization is based on reliable communication. On implementing this in agriculture, an important prerequisite for the coordination of farm vehicles are real-time wireless networks. Such networks have to fulfill the demands of real-time systems and take into account the characteristics of mobile vehicles and groups of vehicles with their special mobility patterns and radio environment. We present a new approach for soft real-time networks based on IEEE 802.11. Our idea is the use of available sensory information like the signal strength of transmitters and relative position of vehicles in order to predict the real-time service quality for moving agricultural vehicles. We prototypically implement our method on board of two agricultural vehicles. Finally, we evaluate and discuss the results for agricultural usage and propose further improvements.
Improving Contextual Models of Guessing and Slipping with a Trucated Training Set

A recent innovation in student knowledge modeling is the replacement of static estimates of the probability that a student has guessed or slipped with more contextual estimation of these probabilities [2], significantly improving prediction of future performance in one case. We extend this method by adjusting the training set used to develop the contextual models of guessing and slipping, removing training examples where the prior probability that the student knew the skill was very high or very low. We show that this adjustment significantly improves prediction of future performance, relative to previous methods, within data sets from three different Cognitive Tutors.
Browser Synchronization System for Supporting Elderly People and IT Shortfalls

In this paper, we propose a new browser synchronization system, which supports elderly people and IT shortfalls to learn how to use on-line shopping services from a support person on a remote site. A key feature of the proposed system is to synchronize browsers without a centralized server, and it works even if user terminals are placed behind a NAT device. In order to traverse the NAT, the proposed system uses a Simple Traversal of UDP through NATs (STUN) server and a mail server. In addition, a packet loss compensation method is implemented in order for the proposed system to avoid a mis-synchronization due to UDP packet losses. We have implemented the proposed system to Linux/Windows and Android tablets. From an evaluation of the proposed methods, it has been concluded that contents on browsers can be synchronized within a sufficiently short time.
Emara, Mohamed and Royer, Pierre-Joseph and Mahdavi, Jafar and Shakib, Farouk and Ghaemmaghami, Amir M. (2012) Retagging identifies dendritic cell-specific intercellular adhesion molecule-3 (ICAM3)-grabbing non-integrin (DC-SIGN) protein as a novel receptor for a major allergen from house dust

(2012) Retagging identifies dendritic cell-specific intercellular adhesion molecule-3 (ICAM3)-grabbing non-integrin (DC-SIGN) protein as a novel receptor for a major allergen from house dust mite. The Nottingham ePrints service makes this work by researchers of the University of Nottingham available open access under the following conditions. This article is made available under the Creative Commons Attribution licence and may be reused according to the conditions of the licence. For more details see: A note on versions: The version presented here may differ from the published version or from the version of record. If you wish to cite this item you are advised to consult the publisher's version. Please see the repository url above for details on accessing the published version and note that access may require a subscription.
Improving the Transition from Residential to Outpatient Addiction Treatment: Gender Differences in Response to Supportive Telephone Calls

Substance use relapse rates are often high in the first months after discharge from inpatient substance abuse treatment, and patient adherence to aftercare plans is often low. Four residential addiction treatment centers participated in a feasibility study designed to estimate the efficacy of a post-discharge telephone intervention intended to encourage compliance with aftercare. A total of 282 participants (100 women, 182 men) with substance use disorders were included in this secondary analysis. The findings revealed that women were more likely than men to attend aftercare. This “gender effect” persisted after adjustment for a number of potential mediators.
Comparison of the Structure and Function of Phospholamban and the Arginine-14 Deficient Mutant Associated with Dilated Cardiomyopathy

Phospholamban (PLB) is a pentameric protein that plays an important role in regulating cardiac contractility via a reversible inhibitory association with the sarcoplasmic reticulum Ca2+ATPase (SERCA), the enzyme responsible for maintaining correct calcium homeostasis. Here we study the functional and biophysical characteristics of a PLB mutant associated with human dilated cardiomyopathy (DCM), with a deletion of arginine at position 14 (PLBR14Δ). In agreement with recent findings, we find that PLBR14Δ has a reduced inhibitory effect on SERCA compared to wild type PLB (PLBWT) when reconstituted into lipid membranes. The mutation also leads to a large reduction in the protein kinase A-catalysed phosphorylation of Ser-16 in the cytoplasmic domain of PLBR14Δ. Measurements on SERCA co-reconstituted with an equimolar mixture of PLBWT and PLBR14Δ (representing the lethal heterozygous state associated with DCM) indicates that the loss-of-function mutation has a dominant effect on PLBWT functionality and phosphorylation capacity, suggesting that mixed PLBWT/PLBR14Δ pentamers are formed that have characteristics typical of the mutant protein. Structural and biophysical analysis of PLBR14Δ indicates that the mutation perturbs slightly the helical structure of the PLB cytoplasmic domain and reduces its affinity for the phospholipid bilayer surface, thereby altering the orientation of the cytoplasmic domain relative to the wild-type protein. These results indicate that the structure and function consequences of the R14 deletion have profound effects on the regulation of SERCA which may contribute to the aetiology of DCM.
Delta-like ligand 4 (Dll4) is induced by VEGF as a negative regulator of angiogenic sprouting

Genetic deletion studies have shown that haploinsufficiency of Delta-like ligand (Dll) 4, a transmembrane ligand for the Notch family of receptors, results in major vascular defects and embryonic lethality. To better define the role of Dll4 during vascular growth and differentiation, we selected the postnatal retina as a model because its vasculature develops shortly after birth in a highly stereotypic manner, during which time it is accessible to experimental manipulation. We report that Dll4 expression is dynamically regulated by VEGF in the retinal vasculature, where it is most prominently expressed at the leading front of actively growing vessels. Deletion of a single Dll4 allele or pharmacologic inhibition of Dll4/Notch signaling by intraocular administration of either soluble Dll4-Fc or a blocking antibody against Dll4 all produced the same set of characteristic abnormalities in the developing retinal vasculature, most notably enhanced angiogenic sprouting and increased endothelial cell proliferation, resulting in the formation of a denser and more highly interconnected superficial capillary plexus. In a model of ischemic retinopathy, Dll4 blockade also enhanced angiogenic sprouting and regrowth of lost retinal vessels while suppressing ectopic pathological neovascularization. Our data demonstrate that Dll4 is induced by VEGF as a negative feedback regulator and acts to prevent overexuberant angiogenic sprouting, promoting the timely formation of a well differentiated vascular network.
30GHz Operation of Single-Flux-Quantum Arithmetic Logic Unit Implemented by Using Dynamically Reconfigurable Gates

SUMMARY A single-ﬂux-quantum (SFQ) arithmetic logic unit (ALU) was designed and tested to evaluate the e ﬀ ectiveness of introducing dynamically reconﬁgurable logic gates in the design of a superconducting logic circuit. We designed and tested a bit-serial SFQ ALU that can perform six arithmetic / logic functions by using a dynamically reconﬁgurable AND / OR gate. To ensure stable operation of the ALU, we improved the operating margin of the SFQ AND / OR gate by employing a partially shielded struc- ture where the circuit is partially surrounded by under- and over-ground layers to reduce parasitic inductances. Owing to the introduction of the par- tially shielded structure, the operating margin of the dynamically reconﬁgurable AND / OR gate can be improved without increasing the circuit area. This ALU can be designed with a smaller circuit area compared with the conventional ALU by using the dynamically reconﬁgurable AND / OR gate. We implemented the SFQ ALU using the AIST 2.5kA / cm 2 Nb standard process 2. We conﬁrmed high-speed operation and correct reconﬁguration of the SFQ ALU by a high-speed test. The measured maximum operation frequency was 30GHz.
Summarizing and Quantifying Multilocus Linkage Disequilibrium Patterns with Multi-Order Markov Chain Models

Studies on linkage disequilibrium (LD) are important in mapping disease genes. A novel statistical method, the multi-order Markov chain model has been recently developed to quantify the complexity level of multilocus LD patterns among single nucleotide polymorphism markers (Kim et al., 2008). In this study, mathematical relationships between two types of LD measures are derived to understand the Markov chain model parameters in terms of conventional LD measures. Statistical sample properties of the Markov chain order estimates are investigated by simulations. Two published data sets are reanalyzed to illustrate the proposed approach.
Hand grip fatigability in persons with multiple sclerosis according to hand dominance and disease progression.

BACKGROUND Hand grip strength in both the dominant and non-dominant hands is often used to assess upper limb impairment. Excessive hand grip fatigability is another important measure, as fatigability may also influence activities of daily living. OBJECTIVE To investigate to what extent hand grip fatigability in multiple sclerosis is dependent on hand dominance, muscle strength and disease progression. METHODS Thirty persons with multiple sclerosis and 16 healthy controls performed 15 repeated maximal hand grip contractions and a 30 s sustained contraction in order to determine dynamic and static fatigue indices. Fatigability was compared between the dominant and non-dominant hands and between the more and less affected hands in a subgroup of persons with multiple sclerosis with asymmetrical hand grip strength impairment. Furthermore, fatigability was compared between controls and subgroups of persons with multiple sclerosis with different disease progression. RESULTS There was no difference in fatigability between dominant and non-dominant hands in healthy controls or in persons with multiple sclerosis. Similarly, there was no difference between the more and less affected hands in the subgroup of persons with multiple sclerosis with asymmetrical hand grip impairment. The dynamic fatigue index did not discriminate persons with multiple sclerosis from controls. While the static fatigue index was not different between healthy controls and persons with multiple sclerosis with low to moderate (< 6) Expanded Disability Status Scale (EDSS), it was significantly higher in persons with multiple sclerosis with high (≥ 6) EDSS scores. The static fatigue index was related to the EDSS score, but not to maximal grip strength. CONCLUSION Fatigability of hand grip strength in persons with multiple sclerosis is not influenced by hand dominance or muscle strength, but there is a correlation with disease progression. Differences in fatigability between healthy controls and, in particular, persons with multiple sclerosis with high EDSS, were found during sustained, but not during dynamic, contractions.
Hyperparameter Selection for Self-Organizing Maps

The self-organizing map (SOM) algorithm for finite data is derived as an approximate maximum a posteriori estimation algorithm for a gaussian mixture model with a gaussian smoothing prior, which is equivalent to a generalized deformable model (GDM). For this model, objective criteria for selecting hyperparameters are obtained on the basis of empirical Bayesian estimation and cross-validation, which are representative model selection methods. The properties of these criteria are compared by simulation experiments. These experiments show that the cross-validation methods favor more complex structures than the expected log likelihood supports, which is a measure of compatibility between a model and data distribution. On the other hand, the empirical Bayesian methods have the opposite bias.
Experiments in Collaborative Filtering with the Aspect Model

Collaborative filtering systems make use of a database of user preference information to make predictions about what other items or articles a particular (active) user might be interested in [4, p. 1]. This paper presents a collection of collaborative filtering experiments designed to test different properties of the aspect model. The aspect model is a probabilistic latent variable model presented by Hofmann [1] and Hofmann and Puzicha [3]. We first review general algorithms for collaborative filtering, and then describe the aspect model and its application to the collaborative filtering problem. Next we present the data set and general experimental methodology used in the experiments. Lastly we describe each experiment and discuss the results.
Nitrogen fixation amplifies the ocean biogeochemical response to decadal timescale variations in mineral dust deposition

A global ocean biogeochemical model is used to quantify the sensitivity of marine biogeochemistry and air–sea CO2 exchange to variations in dust deposition over decadal timescales. Estimates of dust deposition generated under four climate states provide a large range in total deposition with spatially realistic patterns; transient ocean model experiments are conducted by applying a step-function change in deposition from a current climate control. Relative to current conditions, higher dust deposition increases diatom and export production, nitrogen fixation and oceanic net CO2 uptake from the atmosphere, while reduced dust deposition has the opposite effects. Over timescales less than a decade, dust modulation of marine productivity and export is dominated by direct effects in high-nutrient, low-chlorophyll regions, where iron is the primary limiting nutrient. On longer timescales, an indirect nitrogen fixation pathway has increased importance, significantly amplifying the ocean biogeochemical response. Because dust iron input decouples carbon cycling from subsurface macronutrient supply, the ratio of the change in net ocean CO2 uptake to change in export flux is large, 0.45–0.6. Decreasing dust deposition and reduced oceanic CO2 uptake over the next century could provide a positive feedback to global warming, distinct from feedbacks associated with changes in stratification and circulation.