Miracle-dz/UniFAR-FTUs huggingface dataset:
A Sparsity-Aware Cooperative Protocol for Cognitive Radio Networks With Energy-Harvesting Primary User

We consider a cognitive setting composed of multiple primary frequency bands each of which consists of a limited-battery energy-harvesting primary user and a secondary user. The primary user is equipped with a limited-capacity energy queue to maintain the energy harvested from the environment. We propose a novel cooperative protocol for the secondary users. The secondary user assigned to one of the primary frequency bands is aided by a set of nearby secondary users, which we refer to as secondary relays. We assume that each secondary relay participates in relaying the secondary packets with a certain probability. The proposed protocol exploits the sparsity of the participating-relays set and is efficient as it allows dynamic relay assignment. When the secondary user's direct link is in outage, the received secondary packets at the relays are stored in a relaying queue for future retransmissions. The relays perform cooperative beamforming to achieve a cooperative diversity gain for the secondary source. We study two types of quality-of-service requirements for the primary user. We analyze the impact of the primary user energy queue arrival rate and capacity on the secondary user throughput. In addition, we investigate the impact of the relaying queue capacity and the number of relays participating in spectrum sensing on the secondary user throughput.
Global Control of the Cart and Pole System

This paper presents a global control strategy to further improve the feasibility of the cart and pole system control. Two different kinds of nonlinear functions in cart and pole system models are analyzed at large to demonstrate motivation of global control application. Global system models are first proposed to represent the various nonlinear dynamics of the cart and pole system. Consequently, the operating region of the cart and pole system is decomposed into partial subspaces and the corresponding coordinated rules are derived to integrate different partial models. Finally, the global control law is constructed by combining all the partial control actions through the partial membership functions. To demonstrate the effectiveness of global control application, two control objectives: control displacement of both cart and pole and only regulate the displacement of pole, are implemented in the simulation.
A Lexicon for Hadith Science Based on a Corpus

— The Lexicon is among the most important resources for written language processing and comprehension. In languages with rich morphology like classical Arabic language (The language of the Qur'an and classical literature), a careful design of the lexicon is crucial. This paper describes the building of a lexicon of Hadith science using the HPSG formalism. This formalism has seen for several years a great development in the field of NLP, especially in lexical and syntax analysis. One of the distinctive design features of HPSG is its integrated information. Information about phonology, morphology, syntax, semantics and all other components of the grammar is represented in a single structure named attribute value matrix (AVM), with the possibility of complex interactions. In order to ensure interoperability, reusability and the ease of exchange and transfer, we used the XML technology. Each part of hadith isnad like narrator, Telling tool, etc. is represented in a separate XML document with HPSG lexical features specifically targeted at morphological analysis. But it also specifies morphological, syntactic and semantics features (such as gender or number), which can later be used by parsers and other applications.
A behaviour-oriented approach to an implicit "object-understanding" in visual attention

We present a hypothesis and a neurobiologically motivated neural architecture for self-organization of a behaviour-oriented, implicit "object-understanding" in the context of an attention based scene analysis. The paper emphasizes the functional architecture for self-organization of an "object-understanding" on the basis of internal anticipation, reshuffling and evaluation of the scanning process. Finally, by means of chromatic real-world scenes we demonstrate the effect of an emerging "object-understanding" on the scanning process, evident as drastic modification of the spatio-temporal scanning behaviour.
Recommender Systems Using Item Sequences and Ranking Mechanisms Ms

Now days, huge amount of information is available on the web and it is difficult to user to find relevant information. Recommender systems are very useful to give suggestions. Recommendation quality depends on number of criteria, diversity is one major criterion i.e. recommending less popular and more personalized items. The proposed system uses collaborative filtering and content based recommendation techniques. In collaborative filtering, items rating predictions are calculated. Based on these rating predictions and items popularity, ranking algorithm generates the recommendations with more diversity while maintaining the accuracy. Consumer/ manufacturer oriented ranking mechanism ranks the reviews of items which are recommended by collaborative filtering and content based techniques. Thus user will get diverse recommendations with useful reviews of those recommendations. Also depending upon past sequence of user purchases, recommender system will recommend items with the help of learning techniques.
Compressive Sampling Based Energy Detection of Ultra-Wideband Pulse Position Modulation

Compressive sampling (CS) based energy detectors are developed for ultra-wideband (UWB) pulse position modulation (PPM), in multipath fading environments so as to reduce the sampling complexity at the receiver side. Due to sub-Nyquist rate sampling, the CS process outputs a compressed version of the received signal such that the original signal can be recovered from this low dimensional representation. Using the principles of generalized maximum likelihood (GML), we propose two types of energy detectors for such signals. The first type of detectors involves the reconstruction of the received signal followed by a detection stage. Statistical properties of the reconstruction error have been used for the realization of such kind of detectors. The second type of detectors does not rely on reconstruction and carries out the detection operation directly on the compressed signal, thereby offering a further reduction in the implementation complexity. The performance of the proposed detectors is independent of the spreading factor. We analyze the bit error performance of the proposed energy detectors for two scenarios of the propagation channel: when the channel is deterministic, and when it is Gaussian distributed. We provide exact bit error probability (BEP) expressions of the CS based energy detectors for each scenario of the channel. The BEP expressions obtained for the detectors working on the compressed signal directly can naturally be extended to BEP expressions for the related energy detectors working on the Nyquist-rate sampled signal. Simulation results validate the accuracy of these BEP expressions.
NLEL at CLEF 2009 Robust WSD Task

This report describes our approach to the Robust - Word Sense Disambiguation task. We applied the same index expansion technique used in 2008 for the Question Answering WSD task, with the addition of pseudo (blind) relevance feedback. In our approach, a WordNet expanded index is generated from the disambiguated document collection. This index contains synonyms, hypernyms and holonyms of the disambiguated words contained in documents. Query words are searched for in both the expanded WordNet index and the default index. The results show that the use of the extended index did not prove useful, obtaining 14 16% less in MAP with respect to the base system.
A New Approach to Prevent Blackmailing in E-Cash

Blackmailing may be the most serious drawback of the known electronic cash systems offering unconditional anonymity. Recently, D.Kugler proposed an on-line payment system without trusted party to prevent blackmailing based on the idea of marking. In this paper, some disadvantages of D.Kugler’s scheme are analyzed and then a new online electronic cash scheme to prevent blackmailing is present by using group blind signature technique. In our scheme, the blackmailed cash was marked by an entity, called supervisor, therefore the bank can distinguish it from the valid cash. Also, we can modify our scheme to be offline so that it can used to decrease other crimes, e.g., money laundering, bribery etc. in electronic cash system.
Bio-field Treatment: A Potential Strategy for Modification of Physical and Thermal Properties of Gluten Hydrolysate and Ipomoea Macroelements

The objective of present study was to study the effect of biofield treatment on physical and thermal properties of gluten hydrolysate (GH) and ipomoea macroelements (IM). The study was performed in two groups (control and treated). The control group remained as untreated, and biofield treatment was given to treated group. The control and treated GH and IM were characterized by particle size analysis, surface area analysis, X-ray diffraction (XRD), Differential scanning calorimetry (DSC), and Thermogravimetric analysis (TGA). Particle size results of treated GH showed that d50 (average particle size) was decreased by 3.15% and d99 (size exhibited by 99% of powder particles) by 18.40% as compared to control GH sample. The treated IM also showed substantial reduction in average particle size d50 by 4.70% and d99 by 44.40% as compared to control sample. BET analysis showed significant increase in surface area of treated GH by 374.40 % as compared to control sample. However, the treated IM showed reduction in surface area by 14.30% as compared to control sample. XRD data suggested that both control and treated GH samples were amorphous in nature. Contrarily, the treated IM sample showed intense crystalline nature; though minimal decrease was observed in crystallinity as compared to control. DSC data showed increase in melting temperature of the treated GH as compared to control which can be correlated to alteration in kinetic energy of sample. Additionally, the DSC of treated IM also showed increase in melting temperature as compared to control IM. A significant increase in latent heat of fusion (ΔH) was observed in treated GH by 302.55% with respect to control. Similarly, the treated IM showed 24.87% increase in latent heat of fusion as compared to control. TGA data showed higher thermal decomposition temperature (Tmax) of treated GH as compared to control. However, treated IM showed that Tmax was decreased as compared to control sample. These results suggested that biofield treatment has substantially changed the physical and thermal properties of the treated organic products (GH and IM).
Size Optimization of Sextic Polynomials in the Number Field Sieve

The general number field sieve (GNFS) is the most efficient algorithm known for factoring large integers. It consists of several stages, the first one being polynomial selection. The quality of the chosen polynomials in polynomial selection can be modelled in terms of size and root properties. In this paper, we describe some methods to optimize the size properties of sextic polynomials.
Controlling Dielectric and Optical Properties of Ordered Mesoporous Organosilicate Films

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The Effects of Context-Dependency of Seductive Details on Recall and Transfer in a Multimedia Learning Environment

The purpose of this study was to investigate the effects of context-dependency of seductive details on recall and transfer in multimedia learning environments. Two experiments were conducted. In Experiment 1, the purpose was to identify context-dependent vs. contextindependent seductive details in a lightning animation. Seductive details were considered as interesting yet irrelevant sentences in the narration of lightning animation. Sixty-seven undergraduate students participated in Experiment 1 and assigned interestingness scores to the 28 content irrelevant sentences. Participants were assigned to two different groups, contextdependent seductive details group (CDSD) and context-independent seductive details group (CISD). Participants in the CDSD group assigned interestingness scores after watching a lightning animation to be familiarized with the context of lightning formation. Participants in the CISD group watched a historical inquiry animation as a distraction task before assigning interestingness scores. The results of Experiment 1 revealed that 13 of 28 sentences in the lightning formation text were seductive details according to participants of the study. Ultimately, 6 of the 13 seductive details were determined to be context-dependent and 7 were determined to be seductive details were context-independent. The purpose of Experiment 2 was to investigate the effects of context-dependency of seductive details on recall and transfer in multimedia learning environments. Undergraduate students (n = 184) were randomly assigned into four groups. Participants in all groups watched a lightning animation, and performed a recall and a transfer task. The first group watched an animation that did not include any seductive details. The second group watched the animation with context-dependent seductive details only. The third group watched the animation with context-independent seductive details only. The last group watched the animation with both types of seductive details. A 2x2 ANOVA for both recall and transfer, and contrast analyses
A Survey on BGP Issues and Solutions

BGP is the de facto protocol used for inter-autonomous system routing in the Internet. Generally speaking, BGP has been proven to be secure, efficient, scalable, and robust. However, with the rapid evolving of the Internet in the past few decades, there are increasing concerns about BGS's ability to meet the needs of the Internet routing. There are two major limitations of BGP which are its failure to address several key security issues, and some operational related problems. The design and ubiquity of BGP have complicated past efforts at securing inter-domain routing. This paper surveys the past work related to BGP security and operational issues. We explore the limitations and advantages of proposed solutions in these two limitations.
A collision avoidance algorithm based on the virtual target approach for cooperative unmanned surface vehicles

This paper presents a collision avoidance algorithm based on the virtual target path-following guidance technique, developed for Unmanned Surface Vehicle (USV) multiagent frameworks. The proposed collision avoidance procedure is integrated with the distributed guidance module already developed for cooperative and coordinated navigation of USVs, in particular with Cooperative Path Following and Wingman-based coordination scheme. A basic integration of the collision avoidance system with the COLREGS “Rules of the Road” is proposed too. Results of the overall collision free cooperative system are then presented.
Head Modeling Using Multiple-views

Object detection has attracted great interest of researchers in the computer vision community. Although machine learning approaches has been successful in this task, there are still significant challenges to solve in order to achieve data association, and including information from various points of views. We propose a multiple-view classification approach to bring a gap between advances in machine learning based object detection and multiple view geometry. The key idea is to classify an image sequence of corresponding parts of an object. This scheme allows us to solve problems related to correspondence throughout cameras, and to enhance the detection models with compounded features. This article describes our approach applied in human head modeling by integration of visual information. The experiments demonstrate that our technique improves 2D state-ofart classifiers, using same training conditions. These results are promising and show that our approach can be use effectively to detect objects using multiple views.
Fast reachability analysis for uncertain SSPs

Stochastic Shortest Path problems (SSPs) can be efficiently dealt with by the Real-Time Dynamic Programming algorithm (RTDP). Yet, RTDP requires that a goal state is always reachable, what can be checked easily for a certain SSP, and with a more complex algorithm for an uncertain SSP, i.e. where only a possible interval is known for each transition probability. This paper makes a simplified description of these two processes, and demonstrates how the time consuming uncertain analysis can be dramatically speeded up. The main improvement still needed is to turn to a symbolic analysis in order to avoid a complete state-space enumeration.
Cellular aproaches and tailor-made 3D starch-based scaffolds for improved vascularization in bone tissue engineering strategies

The establishment of a vascular supply in bone grafts is presently identified as the main pitfall in bone tissue engineering and the major hurdle for the clinical application of the engineered constructs. Granted the importance of intraosseous vasculature in bone physiological processes, the existence of a microcirculation is not only essential to assure cell survival in strategies that involve cell seeding but also on all the other approaches aimed at bone tissue formation. This is particularly critical in the regeneration of large bone defects because in these cases diffusion can not assure the metabolic demands of the cells and post-implantation vascularization is a slow and insufficient process to assure the success of the implant. The recognition of the aforementioned problem urged the development of strategies to induce and accelerate the formation of a blood vessel network to simultaneously supply the implant and functionally connect to the host vasculature. The research work described in this thesis addresses strategies to augment vascularization on different formulations of starch poly(ε-caprolactone) (SPCL) fiber-mesh scaffold, a biodegradable material previously proposed for bone regeneration. Endothelial cells (ECs) are the key element in angiogenesis. Vascularization strategies either directly or indirectly target this cell type. Thus, the first part of this thesis aimed to build a body of evidence regarding the compatibility of ECs and SPCL fiber-mesh scaffolds and the effect of surface and architectural modifications on ECs’ biology. In chapter III, ECs derived from the macroand microvasculature are shown to adhere and proliferate on SPCL fiber-mesh scaffolds. Furthermore, seeded cells not only expressed the most typical endothelial marker von Willebrand factor (vWF) but also maintained cell-cell contact through the expression of Platelet/Endothelial Cell Adhesion Molecule 1 (PECAM-1). ECs are also known to participate in inflammatory response and regarding this role, cells on scaffolding material were sensitive to a pro-inflammatory stimulus, as shown by the induction of the expression of the cell adhesion molecules. Despite the fact that these results indicate a good interaction between cell and substrate, the adhesion of ECs to the scaffold material was dependent on a pre-coating with fibronectin. Chapter IV consisted in the development of strategies for the surface modification of SPCL fibermesh scaffold in order to promote the adhesion of ECs independently of protein coating of the scaffold. Argon (Ar) plasma revealed itself to be a very effective methodology for the proposed task. Hence, plasma modified scaffolds could successfully sustain ECs’ growth, proliferation, maintenance of endothelial monolayer integrity and the expression of endothelial markers. This
Risk and Healthcare Costs of Chemotherapy-Induced Neutropenic Complications in Women with Metastatic Breast Cancer

Background: The burden of chemotherapy-induced neutropenic complications (CINC) in women with metastatic breast cancer (MBC) is largely unknown and may differ across cancer populations due to variation in the characteristics of patients, their disease and their treatment. Methods: This study employed a retrospective cohort design and US healthcare claims data (2003-2009). For each woman in the study database who received myelotoxic chemotherapy for MBC, the first observed course and each cycle within the course were characterized. Risk and healthcare costs of CINC - by care setting - were descriptively analyzed on an overall basis by chemotherapy cycle and chemotherapy regimen. Results: Among 2,620 study subjects, most received chemotherapy with cyclophosphamide/doxorubicin (25%), docetaxel (20%) or paclitaxel (12%). Thirty-one percent of subjects received colony-stimulating factors (CSF) prophylactically in their first chemotherapy cycle and an additional 13% first received CSF prophylaxis after cycle one. CINC developed in 11% of subjects; among these subjects, 88% required inpatient care and 45% experienced CINC in the first cycle of chemotherapy. For CINC requiring inpatient care, costs averaged USD 12,869 (95% CI: USD 12,622-13,116), and for CINC requiring outpatient care only, USD 2,030 (CI: USD 1,925-2,135). Conclusion: CINC is a clinically and economically important threat among women with MBC, and should be an important consideration in the treatment of this population.
Improving IEEE 802.11 Performance in Chain Topologies through Distributed Polling and Network Coding

Wireless multi-hop networks often rely on the use of IEEE 802.11 technology. Despite of the robustness of the IEEE 802.11 Distributed Coordination Function (DCF) for working in various network scenarios, it has been proven that critical inefficiencies can arise in the case of multi-hop packet forwarding. In this paper, we propose a MAC scheme, based on the virtualization of the Point Coordination Function, optimized for working on chain topologies with bidirectional traffic flows. Our scheme is based on a token-like access mechanism coupled with network coding. The basic idea is the use of multiple Point Coordinators (PCs) along the node chain, which are elected by passing special token frames. Since traffic sources are located at the edge of the chain and intermediate nodes act as relays, we also exploit network coding for merging uplink and downlink traffic. Analytical and simulation results prove that our scheme can provide an aggregated uplink and downlink throughput comparable with bidirectional point-to-point transmissions.