Miracle-dz/UniFAR-FTUs huggingface dataset:
ICT and Electric Power Systems Interdependencies Modeling

Power systems and ICTs interdependencies request innovative and revolutionary methods, built on new ideas that aim at identifying weaknesses and critical components that can fail and create many other failures either by cascading, common-mode or escalating. One possible approach to understand critical infrastructures vulnerabilities is to study their topologies and to quantify their physical and cyber interdependencies. This paper proposes a topologic-driven approach to model coupled infrastructures interdependencies, which evaluates complex-weighted graphs to assess some topological indices: Betweenness Centrality and Efficiency. The method is demonstrated on a typical French Distribution Network including a surrounding ICT network.
Root aeration improves growth and nitrogen accumulation in rice seedlings under low nitrogen

As rice adapts to waterlogged conditions it develops aerenchyma to transport O2 from shoots to roots and leaches O2 into the rhizosphere to balance the soil redox potential for rice root growth and the growth of bacteria such as ammonium oxidation bacteria, which can convert ammonium into nitrate and influence the total N uptake by rice roots. We showed that rice cultivars differ in aerenchyma development, nitrogen uptake and gene response to external aeration treatment. Interestingly, we found that the effect of nitrogen on rice plant growth depends on environmental O2 level.
Assessing data currency — a probabilistic approach

The growing relevance of data quality has revealed the need for adequate measurement. As time aspects are extremely important in data quality management, we propose a novel approach to assess data currency. Our metric, which is founded on probability theory, enables an objective and widely automated assessment for data liable to temporal decline. Its values are easy to interpret by business users. Moreover, the metric makes it possible to analyse the economic impacts of data quality measures like data cleansing and can therefore build a basis for an economic management of data quality. The approach can be applied in various fields of application where the currency of data is important. To illustrate the practical benefit and the applicability of the novel metric, we provide an extensive real world example. In cooperation with a major German mobile services provider, the approach was successfully applied in campaign management and led to an improved decision support.
Video hyperlinking

This is the abstract for the ``Video Hyperlinking'' tutorial, presented as part of the 2014 ACM Multimedia Conference. Video hyperlinking is the introduction of links that originate from pieces of video material and point to other relevant content, be it video or any other form of digital content. The tutorial presents the state of the art in video hyperlinking approaches and in relevant enabling technologies, such as video analysis and multimedia indexing and retrieval. Several alternative strategies, based on text, visual and/or audio information are introduced, evaluated and discussed, providing the audience with details on what works and what doesn't on real broadcast material.
Monoclonal Antibody Recognizing a Core Epitope on Mucin

Monoclonal antibody TH1 (IgM) was prepared by immunizing mice with deglycosylated (TFMSA-treated) cystic fibrosis mucin. TH1 reacted strongly with TFMSA treated cystic fibrosis mucin but not with the fully glycosylated mucin, indicating reactivity with a core mucin epitope. TH1 showed no reactivity with ovine mucin (98% of glycans as sialyl-Tn) but reacted strongly with desialylated ovine mucin, indicating the epitope for this mab was the Tn-antigen (O-linked GalNAc). However, TH1 showed no reactivity with Tn-positive red blood cells, and the binding of TH1 was not inhibited by GalNAc at 2.5 mg/ml, illustrating the importance of the peptide sequence to which the GalNAc is attached. TH1 stained the majority of cancers of the colon, lung, stomach, ovary, breast, and cervix, and the cellular distribution of this antigen in normal tissue suggested reactivity with immature mucin. This antibody appears to be a useful reagent for the detection of immature mucin.
Perspective-oriented generation of football match summaries: Old tasks, new challenges

Team sports commentaries call for techniques that are able to select content and generate wordings to reflect the affinity of the targeted reader for one of the teams. The existing works tend to have in common that they either start from knowledge sources of limited size to whose structures then different ways of realization are explicitly assigned, or they work directly with linguistic corpora, without the use of a deep knowledge source. With the increasing availability of large-scale ontologies this is no longer satisfactory: techniques are needed that are applicable to general purpose ontologies, but which still take user preferences into account. We take the best of both worlds in that we use a two-layer ontology. The first layer is composed of raw domain data modelled in an application-independent base OWL ontology. The second layer contains a rich perspective generation-motivated domain communication knowledge ontology, inferred from the base ontology. The two-layer ontology allows us to take into account user perspective-oriented criteria at different stages of generation to generate perspective-oriented commentaries. We show how content selection, discourse structuring, information structure determination, and lexicalization are driven by these criteria and how stage after stage a truly user perspective-tailored summary is generated. The viability of our proposal has been evaluated for the generation of football match summaries of the First Spanish Football League. The reported outcome of the evaluation demonstrates that we are on the right track.
MOBILE SOLUTION FOR AIR QUALITY MONITORING AND RESPIRATION ACTIVITY MONITORING BASED ON AN ANDROID OS SMART PHONE

− Air pollution is a major environmental risk to health causing premature deaths worldwide. In these conditions, the development of reliable and accurate mobile systems that measure the indoor air quality together with other parameters associated with health status of the people working or living in specified spaces represents an important challenge. The paper presents the design and implementation of a mobile air quality and respiration activity monitoring system including multi-channel Bluetooth compatible smart sensors that deliver the information to a smart phone running an Android operating system (OS). An embedded software developed in Java for the smart phone platform assures the air quality and respiration data processing, graphical user interface including alarm generation, and data synchronization with a remote database through Wi-Fi or 3G/UMTS service. Experimental results associated with air quality and subject’s respiration sensing as well as the smart phone software implementation are included in the paper.
Weak ratio rules between nonnegative real-valued data in transactional database

This paper deals with the problem of weak ratio rules between nonnegative real-valued data in transactional database. Such weak ratio rule is a weaker form than Flip Korn's ratio rule and has such a reasoning meaning that if the dollar amounts spent by a customer on bread are 2, then the dollar amounts spent by the customer on butter is at least 3. Through discussing the mathematical model of weak ratio rules problem, we come to that the weak ratio rules problem is a generalization of Boolean association rules problem and every weak ratio rule is supported by a Boolean association rule. We propose an algorithm for mining an important subset of weak ratio rules and construct a weak ratio rule uncertainty reasoning model. Finally an example is given to show how to apply weak ratio rules to reconstructing lost data, forecasting and outlier detection.
Expandable Chip Stacking Method for Many-core Architectures Consisting of Tiny Chips

The increase of recent non-recurrent engineering cost (design, mask and test cost) have made large System-on-Chip (SoC) difficult to develop especially with advanced technology. We radically explore an approach for cheap and flexible chip stacking. To connect a large number of small chips for building a large scale system, a novel chip stacking method called the staggered stacking is proposed that enables the system to be extended to x and y dimensions, not only to z dimension. For such flexible inter-chip communication, we use Inductive coupling ThruChip Interface (TCI). Here, a novel chip staking layout, and its deadlock-free routing design for the case using multi-core chips are shown. The network with 256 nodes formed by the proposed stacking improves the latency of 2D mesh by 13.8% and the performance of NAS Parallel Benchmarks by 6.7% on average compared to that of 2D mesh.
Inhibition of Cathepsin S Produces Neuroprotective Effects after Traumatic Brain Injury in Mice

Cathepsin S (CatS) is a cysteine protease normally present in lysosomes. It has long been regarded as an enzyme that is primarily involved in general protein degradation. More recently, mounting evidence has shown that it is involved in Alzheimer disease, seizures, age-related inflammatory processes, and neuropathic pain. In this study, we investigated the time course of CatS protein and mRNA expression and the cellular distribution of CatS in a mouse model of traumatic brain injury (TBI). To clarify the roles of CatS in TBI, we injected the mice intraventricularly with LHVS, a nonbrain penetrant, irreversible CatS inhibitor, and examined the effect on inflammation and neurobehavioral function. We found that expression of CatS was increased as early as 1 h after TBI at both protein and mRNA levels. The increased expression was detected in microglia and neurons. Inhibition of CatS significantly reduced the level of TBI-induced inflammatory factors in brain tissue and alleviated brain edema. Additionally, administration of LHVS led to a decrease in neuronal degeneration and improved neurobehavioral function. These results imply that CatS is involved in the secondary injury after TBI and provide a new perspective for preventing secondary injury after TBI.
Practical machine learning solution for increasing profit in a car repair service

This paper presents a practical usage of a machine learning algorithm for increasing sales in a car repair service. The application is implemented for iPad and stores records of the performed reparations by previous clients. The proposed solution computes the costs of reparation, generates a number of promotional packages and offers a sales simulation for proposed packages with a certain discount and sale rise. The classical Apriori algorithm is used for data processing. The obtained most frequent packages are the ones more likely to be bought by future clients, taking into account the history of services and products provided by the car service during a certain period of time.
Evolving Artificial Neural Networks Using GA and Momentum

Neural network learning methods provide a robust approach to approximating real-valued, discrete-valued and vector-valued target functions. Artificial neural networks are among the most effective learning methods currently known for certain types of problems. But BP training algorithm is based on the error gradient descent mechanism that the weight inevitably fall into the local minimum points. Genetic Algorithms (GAs) is good at global searching, and search for precision appears to be partial capacity inadequate. So, in this paper, the genetic operators were carefully designed to optimize the neural network, avoiding premature convergence and permutation problems. And with the momentum to solve the slow convergence problem of BP algorithm. To evaluate the performance of the genetic algorithm-based neural network, BP neural network was also involved for a comparison purpose. The results indicated that Gas and with momentum were successful in evolving ANNs.
Chimpanzee locomotor energetics and the origin of human bipedalism

Bipedal walking is evident in the earliest hominins [Zollikofer CPE, Ponce de Leon MS, Lieberman DE, Guy F, Pilbeam D, et al. (2005) Nature 434:755–759], but why our unique two-legged gait evolved remains unknown. Here, we analyze walking energetics and biomechanics for adult chimpanzees and humans to investigate the long-standing hypothesis that bipedalism reduced the energy cost of walking compared with our ape-like ancestors [Rodman PS, McHenry HM (1980) Am J Phys Anthropol 52:103–106]. Consistent with previous work on juvenile chimpanzees [Taylor CR, Rowntree VJ (1973) Science 179:186–187], we find that bipedal and quadrupedal walking costs are not significantly different in our sample of adult chimpanzees. However, a more detailed analysis reveals significant differences in bipedal and quadrupedal cost in most individuals, which are masked when subjects are examined as a group. Furthermore, human walking is ≈75% less costly than both quadrupedal and bipedal walking in chimpanzees. Variation in cost between bipedal and quadrupedal walking, as well as between chimpanzees and humans, is well explained by biomechanical differences in anatomy and gait, with the decreased cost of human walking attributable to our more extended hip and a longer hindlimb. Analyses of these features in early fossil hominins, coupled with analyses of bipedal walking in chimpanzees, indicate that bipedalism in early, ape-like hominins could indeed have been less costly than quadrupedal knucklewalking.
The Hopf Bifurcation and Control of a Time-Delayed Dual Model in Internet Congestion Control

This paper study the Hopf bifurcation of a time-delayed dual model in Internet congestion control system.A time-delayed feedback control strategy is applied to the system for postponing a set of undesirable Hopf bifurcation and increasing stability region of the system.It is indicated that the model loses stability and a Hopf bifurcation occurs when bifurcation parameter passes through a critical value. Numerical simulations shows that improved dual model can delay Hopf bifurcation effectively,and enhance the system’s stability. Key WordsInternet congestion Control; Bifurcation;Dual model;Time-Delay;Feedback control
Symmetry Breaking Boundary States and Defect Lines

We present a large and universal class of new boundary states which break part of the chiral symmetry in the underlying bulk theory. Our formulas are based on coset constructions and they can be regarded as a non-abelian generalization of the ideas that were used by Maldacena, Moore and Seiberg to build new boundary states for SU(N). We apply our expressions to construct defect lines joining two conformal eld theories with possibly dierent central charge. Such defects c an occur e.g.
Layered Knowledge Architecture For Navigation-Oriented Environment Representation

This paper describes a layered architecture representing knowledge to be used for navigation in environments where distinctive places are present. Each knowledge layer defines an abstraction of the environment aimed at efficiently supporting the execution of specific navigation tasks. Layers are structured in a taxonomy, each layer being derived from another by applying one of the three abstraction primitives: classification, generalization, aggregation; in particular, aggregation enables partitioning of the environment map into clusters. The validity of the architecture proposed is discussed with reference to different application fields, including autonomous robots and vehicle navigation systems. Some issues related to hierarchical path planning on layered knowledge are then addressed; a general framework for a more flexible formulation of path-planning problems and a technique for decomposing problems on the different layers are proposed. An efficient algorithm to solve a specific navigation problem, named "travelling agent", is presented; the algorithm uses a heuristic criterion to expand, at each step, a path computed within a layer into a path at the next layer down. Index-terms abstraction, clustering, hierarchical planning, knowledge representation, path planning
RECOMMENDING INTERESTING LANDMARKS IN PHOTO SHARING SITES

With the rapid development of location-acquisition technologies (GPS, GSM networks, etc.), more and more unstructured, geo-referenced data are accu- mulated on the Web. Such abundant location-based data imply, to some extent, users' interests in places, so these data can be exploited for various location-based services, such as tour recommendation. In this paper, we demonstrate that, through utilizing the location data from a popular photo sharing web site such as Flickr, we can explore interesting landmarks for recommendations. We aim to generate personalized landmark recommendations based on geo-tagged photos for each user. Meanwhile, we also try to answer such a question that when we want to go sight- seeing in a large city like Beijing, where should we go? To achieve our goal, first, we present a data field clustering method (DFCM ), which is a density-based clustering method initially developed to cluster point objects. By using DFCM, we can cluster a large-scale geo-tagged web photo collection into groups (or landmarks) by loca- tion. And then, we provide more friendly and comprehensive overviews for each landmark. Subsequently, we present an improved user similarity method, which not only uses the overview semantic similarity, but also considers the trajectory similarity and the landmark trajectory similarity. Finally, we propose a personal- ized landmark recommendation algorithm based on the improved user similarity method, and adopt a TF-IDF like strategy to produce the nontrivial landmark rec- ommendation. Experimental results show that our proposed approach can obtain a better performance than several state-of-the-art methods.
The class III PI(3)K Vps34 promotes autophagy and endocytosis but not TOR signaling in Drosophila

Degradation of cytoplasmic components by autophagy requires the class III phosphatidylinositol 3 (PI(3))–kinase Vps34, but the mechanisms by which this kinase and its lipid product PI(3) phosphate (PI(3)P) promote autophagy are unclear. In mammalian cells, Vps34, with the proautophagic tumor suppressors Beclin1/Atg6, Bif-1, and UVRAG, forms a multiprotein complex that initiates autophagosome formation. Distinct Vps34 complexes also regulate endocytic processes that are critical for late-stage autophagosome-lysosome fusion. In contrast, Vps34 may also transduce activating nutrient signals to mammalian target of rapamycin (TOR), a negative regulator of autophagy. To determine potential in vivo functions of Vps34, we generated mutations in the single Drosophila melanogaster Vps34 orthologue, causing cell-autonomous disruption of autophagosome/autolysosome formation in larval fat body cells. Endocytosis is also disrupted in Vps34−/− animals, but we demonstrate that this does not account for their autophagy defect. Unexpectedly, TOR signaling is unaffected in Vps34 mutants, indicating that Vps34 does not act upstream of TOR in this system. Instead, we show that TOR/Atg1 signaling regulates the starvation-induced recruitment of PI(3)P to nascent autophagosomes. Our results suggest that Vps34 is regulated by TOR-dependent nutrient signals directly at sites of autophagosome formation.
Circulating Endothelin-1 Alters Critical Mechanisms Regulating Cerebral Microcirculation

Endothelin-1 (ET1) is a potent vasoconstrictor peptide implicated in the cerebrovascular alterations occurring in stroke, subarachnoid hemorrhage, and brain trauma. Brain or circulating levels of ET1 are elevated in these conditions and in risk factors for cerebrovascular diseases. Most studies on the cerebrovascular effects of ET1 have focused on vascular smooth muscle constriction, and little is known about the effect of the peptide on cerebrovascular regulation. We tested the hypothesis that ET1 increases cerebrovascular risk by disrupting critical mechanisms regulating cerebral blood flow. Male C57Bl6/J mice equipped with a cranial window were infused intravenously with vehicle or ET1, and somatosensory cortex blood flow was assessed by laser Doppler flowmetry. ET1 infusion increased mean arterial pressure and attenuated the blood flow increase produced by neural activity (whisker stimulation) or neocortical application of the endothelium-dependent vasodilator acetylcholine but not A23187. The cerebrovascular effects of ET1 were abrogated by the ETA receptor antagonist BQ123 and were not related to vascular oxidative stress. Rather, the dysfunction was dependent on Rho-associated protein kinase activity. Furthermore, in vitro studies demonstrated that ET1 suppresses endothelial nitric oxide (NO) production, assessed by its metabolite nitrite, an effect associated with Rho-associated protein kinase–dependent changes in the phosphorylation state of endothelial NO synthase. Collectively, these novel observations demonstrate that increased ET1 plasma levels alter key regulatory mechanisms of the cerebral circulation by modulating endothelial NO synthase phosphorylation and NO production through Rho-associated protein kinase. The ET1-induced cerebrovascular dysfunction may increase cerebrovascular risk by lowering cerebrovascular reserves and increasing the vulnerability of the brain to cerebral ischemia.
A Global Replacement Based on Actual Set Association

Recently, to reduce conflict misses introduced by the nonuniform distribution of memory references, global replacement is explored in set-associative cache. We propose a novel low-overhead global replacement mechanism based on actual set association. In our mechanism, the global replacement is partitioned into global set selection and local LRU replacement within set allowing data resources contention among sets. For the twelve benchmarks from SPEC CPU2000 suite, our mechanism can achieve an average miss rate reduction of 20.94% close to global LRU replacement with an extra storage cost of about 4.63%, compared to a baseline set-associative cache.
MicroRNA-762 Is Upregulated in Human Corneal Epithelial Cells in Response to Tear Fluid and Pseudomonas aeruginosa Antigens and Negatively Regulates the Expression of Host Defense Genes Encoding RNase7 and ST2

Mucosal surfaces regulate defenses against infection and excessive inflammation. We previously showed that human tears upregulated epithelial expression of genes encoding RNase7 and ST2, which inhibited Pseudomonas aeruginosa invasion of human corneal epithelial cells. Here, microRNA microarrays were used to show that a combination of tear fluid exposure (16 h) then P. aeruginosa antigens (3 h) upregulated miR-762 and miR-1207, and down-regulated miR-92 and let-7b (all > 2-fold) in human corneal epithelial cells compared to P. aeruginosa antigens alone. RT-PCR confirmed miR-762 upregulation ∼ 3-fold in tear-antigen exposed cells. Without tears or antigens, an antagomir reduced miR-762 expression relative to scrambled controls by ∼50%, increased expression of genes encoding RNase7 (∼80 %), ST2 (∼58%) and Rab5a (∼75%), without affecting P. aeruginosa internalization. However, P. aeruginosa invasion was increased > 3-fold by a miR-762 mimic which reduced RNase7 and ST2 gene expression. Tear fluid alone also induced miR-762 expression ∼ 4-fold, which was reduced by the miR-762 antagomir. Combination of tear fluid and miR-762 antagomir increased RNase7 and ST2 gene expression. These data show that mucosal fluids, such as tears, can modulate epithelial microRNA expression to regulate innate defense genes, and that miR-762 negatively regulates RNase7, ST2 and Rab5a genes. Since RNase7 and ST2 inhibit P. aeruginosa internalization, and are upregulated by tear fluid, other tear-induced mechanisms must counteract inhibitory effects of miR-762 to regulate resistance to bacteria. These data also suggest a complex relationship between tear induction of miR-762, its modulation of innate defense genes, and P. aeruginosa internalization.