Miracle-dz/UniFAR-FTUs huggingface dataset:
On the eleven-dimensional origins of polarized D0-branes

The worldvolume theory of a D0-brane contains a multiplet of fermions which can couple to background spacetime fields. This coupling implies that a D0-brane may possess multipole moments with respect to the various type-IIA supergravity fields. Different such polarization states of the D0-brane will thus generate different long-range supergravity fields, and the corresponding semi-classical supergravity solutions will have different geometries. In this paper, we reconsider such solutions from an eleven-dimensional perspective. We thus begin by deriving the ``superpartners'' of the eleven-dimensional graviton. These superpartners are obtained by acting on the purely bosonic solution with broken supersymmetries and, in theory, one can obtain the full BPS supermultiplet of states. When we dimensionally reduce a polarized supergraviton along its direction of motion, we recover a metric which describes a polarized D0-brane. On the other hand, if we compactify along the retarded null direction we obtain the short distance, or ``near-horizon'', geometry of a polarized D0-brane, which is related to finite N Matrix theory. The various dipole moments in this case can only be defined once the eleven-dimensional metric is ``regularized'' and, even then, they are formally infinite. We argue, however, that this is to be expected in such a non-asymptotically flat spacetime. Moreover, we find that the superpartners of the D0-brane, in this r→0 limit, possess neither spin nor D2-brane dipole moments.
Collective behavior prediction in social media : A survey

Collective behavior refers to how individuals behave when they are exposed in a social network environment. This collective behavior gives the opportunity to predict online behaviors of users in a network, given the behavior information of some actors in the network. But Many social media (Facebook, Twitter, YouTube etc.) tasks can be connected to the problem of collective behavior prediction. This work studies how networks in social media can help predict some sorts of human behavior and individual preference. This can help understand the behavior patterns presented in social media, as well as other tasks like social networking advertising and recommendation.
Enhancing precision in Process Conformance: Stability, confidence and severity

Process Conformance is becoming a crucial area due to the changing nature of processes within an Information System. By confronting specifications against system executions (the main problem tackled in process conformance), both system bugs and obsolete/incorrect specifications can be revealed. This paper presents novel techniques to enrich the process conformance analysis for the precision dimension. The new features of the metric proposed in this paper provides a complete view of the precision between a log and a model. The techniques have been implemented as a plug-in in an open-source Process Mining platform and experimental results witnessing both the theory and the goals of this work are presented.
ERP Approach: What Could We Learn From?

Event-related potential (ERP) studies are very specialized ones that can be used only to investigate specific problems to get a different perspective with respect to more traditional measurements techniques. The peculiarity of ERP measures (time windows, repetitions, etc.) requires a careful design of the experimental protocol to obtain meaningful data. In this paper we discuss how ERPs can be used to study elicitation of emotional perception by means of familiar visual stimuli and, as well, its modification due to the proposition of unexpected stimuli.
When is the Time Ripe for Natural Language Processing for Patent Passage Retrieval?

Patent text is a mixture of legal terms and domain specific terms. In technical English text, a multi-word unit method is often deployed as a word formation strategy in order to expand the working vocabulary, i.e. introducing a new concept without the invention of an entirely new word. In this paper we explore query generation using natural language processing technologies in order to capture domain specific concepts represented as multi-word units. In this paper we examine a range of query generation methods using both linguistic and statistical information. We also propose a new method to identify domain specific terms from other more general phrases. We apply a machine learning approach using domain knowledge and corpus linguistic information in order to learn domain specific terms in relation to phrases' Termhood values. The experiments are conducted on the English part of the CLEF-IP 2013 test collection. The outcome of the experiments shows that the favoured method in terms of PRES and recall is when a language model is used and search terms are extracted with a part-of-speech tagger and a noun phrase chunker. With our proposed methods we improve each evaluation metric significantly compared to the existing state-of-the-art for the CLEP-IP 2013 test collection: for PRES@100 by 26% (0.544 from 0.433), for recall@100 by 17% (0.631 from 0.540) and on document MAP by 57% (0.300 from 0.191).
Improving social functioning and reducing social isolation and loneliness among people with enduring mental illness: Report of a randomised controlled trial of supported socialisation

Background: This randomised controlled trial examined if for people with enduring mental illness, being supported to socialise leads to improved social functioning, increased self-esteem and extended social networks; a reduction in social isolation, social, emotional and family loneliness and a reduction in illness symptoms, namely depression. Methods: A prospective randomised controlled trial was undertaken from November 2007 to September 2011. Service users with a diagnosis of enduring mental illness (>18 years) were invited to participate. Participants were randomly allocated to intervention or control group conditions in a 1:1 ratio. Intervention group participants were matched with a volunteer partner, asked to engage in social/leisure activities for 2 hours weekly over a 9-month period, and received a €20 stipend monthly. Control group participants received a €20 monthly stipend and were asked to engage in a weekly social/leisure activity. Social functioning, the primary outcome, was measured using the Social Functioning Scale (SFS) at three time points (baseline, midpoint and endpoint). Findings: In all, 107 people completed this study. There were no significant differences between control and intervention groups at the commencement of the intervention on demographic characteristics or the main outcome measures of interest. Overall social functioning positively changed throughout the three time points from a mean of 99·7 (standard deviation (SD) = 15.1) at baseline, to a mean of 106.0 (SD = 27.0) at the endpoint for the control group, and from a mean of 100·4 (SD = 15.0) at Time 1 for the intervention group, to a mean of 104.1 (SD = 23.4) at the endpoint for the intervention group. Conclusions: The intervention showed no statistical differences between the control and intervention groups on primary or secondary outcome measures. The stipend and the stipend plus volunteer partner led to an increase in recreational social functioning; a decrease in levels of social loneliness, in depression and in the proportion living within a vulnerable social network.
Spectral K-Way Ratio-Cut Partitioning and Clustering

Recent research on partitioning has focussed on the ratio-cut cost metric which maintains a balance between the sizes of the edges cut and the sizes of the partitions without fixing the size of the partitions a priori. Iterative approaches and spectral approaches to two-way ratio-cut partitioning have yielded higher quality partitioning results. In this paper we develop a spectral approach to multiway ratio-cut partitioning which provides a generalization of the ratio-cut cost metric to k-way partitioning and a lower bound on this cost metric. Our approach involves finding the k smallest eigenvalue/eigenvector pairs of the Laplacian of the graph. The eigenvectors provide an embedding of the graph's n vertices into a k-dimensional subspace. We devise a time and space efficient clustering heuristic to coerce the points in the embedding into k partitions. Advancement over the current work is evidenced by the results of experiments on the standard benchmarks.
An Energy-Efficient Multimedia Streaming Transport Protocol Over Heterogeneous Wireless Networks

This paper presents an energy-efficient multipath streaming transport protocol to support a seamless high-quality video streaming service over heterogeneous wireless networks. The proposed protocol employs raptor codes to alleviate video quality degradation caused by wireless channel errors and the diverse characteristics of wireless networks. Furthermore, it is designed to reduce the energy consumption of a mobile device because more energy is generally consumed to activate multiple wireless networks and perform supplementary raptor decoding. For energy saving at the receiver side, the proposed protocol not only shapes a video stream but determines the raptor encoding parameters such as code rate, symbol size, and the number of source symbols as well, while considering the energy consumption of on-the-fly raptor decoding. The proposed protocol is fully implemented using C/C++ and Java on an Android-based smartphone and examined over real heterogeneous wireless networks. The proposed protocol can achieve good energy efficiency while providing a seamless high-quality video streaming service compared with existing protocols.
Design and characterization of a lab-on-chip for continuous bioluminescent measurements of ATP

A novel multifunctional two-sides silicon lab-on-chip (LOC) was designed and fabricated for providing a high-efficient long-term continuous analysis platform of measuring the concentration of adenosine 5'-triphosphate (ATP) based on bioluminescence. This lab-on-chip mainly consists of Y shape internal ribbed micro mixers, T-junction droplet generators, different kinds of spiral time delay channels (TD-Cs) and the chambers. Enzyme solutions and ATP were separately injected into the chip at different flow rates through 3 inlet ports. Due to the advantage of Segmented Flow Analysis (SFA), it was introduced and applied with the T-junction droplet generators in this paper, and thus oxygen was injected into the central of the bottom surface through another main inlet periodically. Numerical investigations prove that combing with SFA and T-junction droplet generator is stable to transport the sample; micro mixer can achieve an outstanding mixing efficiency in a small space; the detection of ATP standard solution at optimal conditions was successful, keeping a good linearity between the concentration with the intensity of light during the range from 10-5 mol /ml to 10-9 mol/ml.
LPS or ethanol triggers clathrin‐ and rafts/caveolae‐dependent endocytosis of TLR4 in cortical astrocytes

Toll‐like receptor 4 (TLR4) activation and signalling in glial cells play critical roles in neurological disorders and in alcohol‐induced brain damage. TLR4 endocytosis upon lipopolysaccharide (LPS) stimulation regulates which signalling pathway is activated, the MyD88‐dependent or the TIR‐domain‐containing adapter‐inducing interferon‐β (TRIF)‐dependent pathway. However, it remains elusive whether ethanol‐induced TLR4 signalling is associated with receptor internalization and trafficking, and which endocytic pathway(s) are used in cortical astrocytes. Using the adenoviral over‐expression of TLR4GFP, confocal microscopy and the imagestream technique, we show that upon ethanol or LPS stimulation, TLR4 co‐localizes with markers of the clathrin and caveolin endocytic pathways, and that this endocytosis is dependent on dynamin. Using chlorpromazin and filipin as inhibitors of the clathrin and rafts/caveolae endocytic pathways, respectively, we demostrate that TRIF‐dependent signalling relies on an intact clathrin pathway, whereas disruption of rafts/caveolae inhibits the MyD88‐ and TRIF‐dependent signalling pathways. Immunofluorescence studies also suggest that lipid rafts and clathrin cooperate for appropriate TLR4 internalization. We also show that ethanol can trigger similar endocytic pathways as LPS does, although ethanol delays clathrin internalization and alters TLR4 vesicular trafficking. Our results provide new insights into the effects of ethanol or LPS on TLR4 signalling in cortical astrocytes, events that may underlie neuroinflammation and brain damage.
The Global Patch Collider

This paper proposes a novel extremely efficient, fully-parallelizable, task-specific algorithm for the computation of global point-wise correspondences in images and videos. Our algorithm, the Global Patch Collider, is based on detecting unique collisions between image points using a collection of learned tree structures that act as conditional hash functions. In contrast to conventional approaches that rely on pairwise distance computation, our algorithm isolates distinctive pixel pairs that hit the same leaf during traversal through multiple learned tree structures. The split functions stored at the intermediate nodes of the trees are trained to ensure that only visually similar patches or their geometric or photometric transformed versions fall into the same leaf node. The matching process involves passing all pixel positions in the images under analysis through the tree structures. We then compute matches by isolating points that uniquely collide with each other ie. fell in the same empty leaf in multiple trees. Our algorithm is linear in the number of pixels but can be made constant time on a parallel computation architecture as the tree traversal for individual image points is decoupled. We demonstrate the efficacy of our method by using it to perform optical flow matching and stereo matching on some challenging benchmarks. Experimental results show that not only is our method extremely computationally efficient, but it is also able to match or outperform state of the art methods that are much more complex.
Responsive polyelectrolyte hydrogels and soft matter micromanipulation

This dissertation describes experimental studies on the mechanisms underlying the dynamic response of polyelectrolyte hydrogels when submitted to an external electric potential. In addition, we explore the possibilities of miniaturization and manipulation of responsive gels and other soft matter systems by using microfabrication techniques. Furthermore, a novel biocompatible hydrogel electro-active in biological fluids is developed. The possibilities of using this electro-responsive hydrogel system in bio-medical applications are investigated by studying it under in vitro conditions. By means of microfabrication techniques, we are able to miniaturize the hydrogel as a large array of responsive cilia, considerably increasing its response speed. Such cilia are also made bi-responsive by inclusion of magnetic particles. Finally, by mastering the microfabrication techniques we develop novel methods for micelle-based nanowire formation and soft-matter objects manipulation.
Evolution of dislocation substructure in vapour-deposited lead films on glass substrates

Systematic variation of anisotropic X-ray line broadening in vapour-deposited Pb films of various thicknesses on glass substrates is studied using dislocation model of strain anisotropy incorporated into a modified Williamson-Hall and modified Warren-Averbach procedure. For smaller film thicknesses in the range of about 100-200 nm, the dislocation network is less correlated and contains substantial screw component and twin or growth faults. The films of larger thicknesses (greater than 500 nm), on the other hand, consist mostly of edge dislocations with a more regular and correlated dislocation structure. The present study reveals the inadequacy of applicability of conventional Warren-Averbach analysis in regular and correlated dislocation structures.
Reaching a desired set of users via different paths: an online advertising technique on micro-blogging platforms

Social media and micro-blogging platforms have been successful for communication and information exchange enjoying vast number of user participation. Given their millions of users, it is natural that there is a lot of interest for marketing and advertising on these platforms as attested by the introduced advertising platforms on Twitter and Facebook. In this paper, inspired by micro-blogging advertising platforms, we introduce two problems to aid ad and marketing campaigns. The first problem identifies topics (called analogous topics) that have approximately the same audience in a micro-blogging platform as a given query topic. The main idea is that by bidding on an analogous topic instead of the original query topic, we reach approximately the same audience while spending less of our budget. Then, we present algorithms to identify expert users on a given query topic and categorize these experts to finely understand their diversified expertise. This is imperative for word of mouth marketing where individuals have to be targeted precisely. We evaluate our algorithms and solutions for both problems on a large dataset from Twitter attesting to their eciency and accuracy compared with alternate approaches.
Expression of NF-κB and IL-6 in oral precancerous and cancerous lesions: An immunohistochemical study

Background The purpose of this study was to evaluate the immunohistochemical expression of NF-κB and IL-6 in oral premalignant and malignant lesions and to investigate their possible correlation with the presence of subepithelial inflammation. Material and Methods Thirty two oral premalignant lesions, clinically compatible with leukoplakia or erythroplakia, were investigated. Microscopically, 11 of them showed hyperkeratosis and acanthosis (epithelial hyperplasia) and 21 showed dysplasia of varying degrees. Nine cases of OSCC and four control cases of normal oral mucosa were also included in the study. Immunohistochemical staining with NF-κB (p65) and IL-6 was performed. IL-6 and nuclear NF-κB staining were assessed as positive or negative. For cytoplasmic localization of NF-κB, a total score combining intensity and percentage of positive epithelial cells was additionally calculated. The presence of inflammation was also recorded. Results Intensity and total scores for NF-κΒ cytoplasmic immunostaining showed a statistically significant gradual increase from normal mucosa to OSCC (p=0.012 and p=0.026 respectively). Non-statistically significant increased NF-κΒ nuclear localization was detected in dysplasias and OSCCs. Positive statistical correlation was detected between the presence of inflammation and IL-6 expression (p=0.015). No correlation between NF-κΒ and IL-6 was detected. Conclusions NF-κΒ is activated in the early stages of oral carcinogenesis. IL-6 may have an NF-κΒ-independent role, possibly through regulation of the inflammatory response. Key words:NF-κB, IL-6, immunohistochemistry, oral squamous cell carcinoma, oral precancerous lesion.
A FRAMEWORK FOR MAINTAINING FORMATIONS BASED ON RIGIDITY

In this paper, a framework for maintaining formations of large number of mobile autonomous vehicles based on rigidity is proposed. The aim of this paper is to explore strategies for maintaining formations with more limited communi- cation/sensing requirements. An inductive construction method for provably rigid formations is proposed, and a method for optimum angle measures between vehicles is developed. The method scales with the number of vehicles and is ∞exible to support many rigid formation shapes. Copyright c ∞2002 IFAC
A Validity Measure for Fuzzy Clustering

The authors present a fuzzy validity criterion based on a validity function which identifies compact and separate fuzzy c-partitions without assumptions as to the number of substructures inherent in the data. This function depends on the data set, geometric distance measure, distance between cluster centroids and more importantly on the fuzzy partition generated by any fuzzy algorithm used. The function is mathematically justified via its relationship to a well-defined hard clustering validity function, the separation index for which the condition of uniqueness has already been established. The performance of this validity function compares favorably to that of several others. The application of this validity function to color image segmentation in a computer color vision system for recognition of IC wafer defects which are otherwise impossible to detect using gray-scale image processing is discussed. >
Prevalence and Correlates of Depression in Individuals With and Without Type 1 Diabetes

OBJECTIVE Depression is associated with poor glycemic control and complications in people with type 1 diabetes. We assessed the prevalence of depression and antidepressant medication use among adults with and without type 1 diabetes and the association between depression and diabetes complications. RESEARCH DESIGN AND METHODS In 2006–2008, the Coronary Artery Calcification in Type 1 Diabetes Study applied the Beck Depression Inventory II (BDI-II) to 458 participants with type 1 diabetes (47% male, aged 44 ± 9 years, type 1 diabetes duration 29 ± 9 years) and 546 participants without diabetes (nondiabetic group) (51% male, aged 47 ± 9 years). Use of antidepressant medication was self-reported. Depression was defined as a BDI-II score >14 and/or use of antidepressant medication. Occurrence of diabetes complications (retinopathy, blindness, neuropathy, diabetes-related amputation, and kidney or pancreas transplantation) was self-reported. RESULTS Mean BDI-II score, adjusted for age and sex, was significantly higher in participants with type 1 diabetes than in nondiabetic participants (least-squares mean ± SE: 7.4 ± 0.3 vs. 5.0 ± 0.3; P < 0.0001). Type 1 diabetic participants reported using more antidepressant medications (20.7 vs. 12.1%, P = 0.0003). More type 1 diabetic than nondiabetic participants were classified as depressed by BDI-II cut score (17.5 vs. 5.7%, P < 0.0001) or by either BDI-II cut score or antidepressant use (32.1 vs. 16.0%, P < 0.0001). Participants reporting diabetes complications (n = 209) had higher mean BDI-II scores than those without complications (10.7 ± 9.3 vs. 6.4 ± 6.3, P < 0.0001). CONCLUSIONS Compared with nondiabetic participants, adults with type 1 diabetes report more symptoms of depression and more antidepressant medication usage. Depression is highly prevalent in type 1 diabetes and requires further study on assessment and treatment.
Enhanced clustering ant colony routing algorithm based on swarm intelligence in wireless sensor network

Major issues in wireless sensor networks are performance enhancement and optimize QoS parameters. Paper proposes a novel QoS Algorithm for optimum path routing with routing matrices. Most renowned Dijkstra's algorithm focuses on shortest path but less efficient in congested network. Afterwards, improved ant colony routing algorithm IPACR enhance coverage rate by finding optimum alternate path routing. Cluster-based ant colony routing algorithm ICACR introduced as simplified version and outperform IPACR by lifetime of network, but not efficient when Sink node is close to Source node. Enhanced cluster based algorithm ECACR is proposed in this paper, as enhancement in ICACR in terms of fast PD ratio through sensor nodes and less congested shortest path in wireless networks.