Miracle-dz/UniFAR-FTUs huggingface dataset:
Graphs of Some CAT(0) Complexes

In this note, we characterize the graphs (1-skeletons) of some piecewise Euclidean simplicial and cubical complexes having nonpositive curvature in the sense of Gromov's CAT(0) inequality. Each such cell complex K is simply connected and obeys a certain flag condition. It turns out that if, in addition, all maximal cells are either regular Euclidean cubes or right Euclidean triangles glued in a special way, then the underlying graph G(K) is either a median graph or a hereditary modular graph without two forbidden induced subgraphs. We also characterize the simplicial complexes arising from bridged graphs, a class of graphs whose metric enjoys one of the basic properties of CAT(0) spaces. Additionally, we show that the graphs of all these complexes and some more general classes of graphs have geodesic combings and bicombings verifying the 1- or 2-fellow traveler property.
Throughput maximization based joint power and bandwidth allocation for UMTS/WLAN integrated network

Next Generation Wireless Network (NGWN) is expected to integrate various Radio Access Technologies (RATs), and to support heterogeneous services with different Quality of Service (QoS) requirements. However, these desired functions demand seamless coordination and efficient resource management of the heterogeneous RATs. In this paper, an integrated system of UMTS and WLAN which supports throughput-sensitive, delay-sensitive and Bit Error Rate (BER)-sensitive users is considered and a joint power and bandwidth allocation algorithm for uplink transmission is proposed. Through examining throughput performance of users with various user services, the optimization problem is formulated as maximizing user overall throughput for both access networks subject to QoS constraints. Solving the optimization problem by use of Genetic Algorithm (GA), the optimal power and bandwidth allocation strategy can be obtained. The numerical simulation demonstrates the efficiency of the proposed algorithm.
Benign Paroxysmal Positioning Vertigo: A Disease Explainable by Inner Ear Mechanics

Many arguments give evidence that benign paroxysmal positioning vertigo, one of the most frequent kinds of vertigo, can be reduced to mechanical processes in the vestibular part of the labyrinth. Based on the assumption that otoliths have departed from their normally fixed position in the otolithic membrane and travel in the semicircular canals, clinical observations find their explanation. Latency between the onset of a head movement and the beginning of the vertiginous sensation, its duration and the nystagmic pattern provoked by specific head movements are in good correlation with the canalith hypothesis. Further arguments are the successful treatment by liberatory maneuvers, the relatively high number of recurrences and the change of the affected canal.
Some parallels between empirical software engineering and research in human computer interaction

Both empirical software engineering and human-computer interaction (HCI) are applied sciences: studies conducted within these disciplines are futile unless they enhance, either directly or indirectly, the practice of software engineering in the former case, and computer support for human endeavours in the latter. The main thesis of this paper is that there should be improved communication between the two disciplines. We argue that a major current concern of researchers in empirical software engineering – that empirical studies do not sufficiently inform practice – and the current emphasis on studies following a traditional scientific experimental design, is very similar to the major concern and methodological emphasis of HCI in the late 1980s/early 1990s. HCI researchers responded to this concern by borrowing tools and techniques from other disciplines, as is currently being advocated by some in the world of empirical software engineering. Although this response has not been unequivocally successful in its aim of closing the gap between studies and practice, we believe that researchers in empirical software engineering might benefit from reflecting on the HCI experience.
Clustering XML Documents by Combining Content and Structure

XML has become a de facto standard for data representation and exchange over the Internet. With the emergence of more and more XML documents, the clustering of XML documents has become an active research area. XML documents lie between structured data and unstructured data which describe both content and structure, so how to effectively cluster XML documents is a huge challenge. However, most of existing clustering algorithms are based on the structural similarities between XML documents and not or less take into account content of the XML documents. In this paper, we develop a novel method for measuring similarities between XML documents, which effectively combines structure and contents of the XML documents. Based on this similarity model, we adopt hierarchy clustering algorithm to cluster XML documents. The experiments show that this method gains better clustering quality.
Databases and ontologies ADAM : another database of abbreviations in MEDLINE

Motivation: Abbreviations are an important type of terminology in the biomedical domain. Although several groups have already created databases of biomedical abbreviations, these are either not public, or are not comprehensive, or focus exclusively on acronym-type abbreviations. We have created another abbreviation database, ADAM, which covers commonly used abbreviations and their definitions (or long-forms) within MEDLINE titles and abstracts, including both acronym and non-acronym abbreviations. Results: A model of recognizing abbreviations and their long-forms from titles and abstracts of MEDLINE (2006 baseline) was employed. After grouping morphological variants, 59 405 abbreviation/long-form pairswere identified. ADAMshowshigh precision (97.4%) and includes most of the frequently used abbreviations contained in the Unified Medical Language System (UMLS) Lexicon and the Stanford Abbreviation Database. Conversely, one-third of abbreviations in ADAM are novel insofar as they are not included in either database. About 19% of the novel abbreviations are non-acronym-type and these cover at least seven different types of short-form/long-form pairs. Availability: A free, public query interface to ADAM is available at http://arrowsmith.psych.uic.edu, and the entire database can be downloaded as a text file. Contact: neils@uic.edu
RFID Facilitating Strategy Using Taiwan's Distribution Center as an Example

The applications of RFID are the most promising issue which have caught attentions from every aspects of the global supply chain members. Both Wal-Mart and the Department of Defense, USA have announced that they will be facilitating RFID technology as their mainly strategy of supply chain management. Top suppliers are asked to furnish the utilization of this emerging technology. The goal has been set up to catch the potential benefits of RFID which including enhanced products visibility . traceability and safety at the manufacturing and distribution stages even throughout the total lifecycle. More and more fields take aggressive steps on RFID adoption and some business cases have revealed the advantage of RFID technology. As an important manufacturing and distribution base on the world, Taiwan has noticed this trend. In order to promote the competitiveness and to link up with the world through the application of RFID, this research focus on the facilitating strategy that how a Taiwan’s business implement a new technology. We take distribution centers as our observe target, the collaborate module of government and enterprise will also be discussed.
Compartmentalized Production of CCL17 In Vivo

Dendritic cells (DCs)* fulfill an important regulatory function at the interface of the innate and adaptive immune system. The thymus and activation-regulated chemokine (TARC/CCL17) is produced by DCs and facilitates the attraction of activated T cells. Using a fluorescence-based in vivo reporter system, we show that CCL17 expression in mice is found in activated Langerhans cells and mature DCs located in various lymphoid and nonlymphoid organs, and is up-regulated after stimulation with Toll-like receptor ligands. DCs expressing CCL17 belong to the CD11b+CD8−Dec205+ DC subset, including the myeloid-related DCs located in the subepithelial dome of Peyer's patches. CCL17-deficient mice mount diminished T cell–dependent contact hypersensitivity responses and display a deficiency in rejection of allogeneic organ transplants. In contrast to lymphoid organs located at external barriers of the skin and mucosa, CCL17 is not expressed in the spleen, even after systemic microbial challenge or after in vitro stimulation. These findings indicate that CCL17 production is a hallmark of local DC stimulation in peripheral organs but is absent from the spleen as a filter of blood-borne antigens.
The Discourse on Sustainable Development: How Political and Scientific Codes Go along with Each Other

My presentation is limited to discuss one specific aspect of the discourse on sustainable development, namely the features of its science-policy interface, focusing on Germany. That I do in three steps: 1. A short introduction of key terms and conditions of social discourse 2. Summary of general characteristics and development of the sustainable development discourse 3. Resuming properties and underlying reasons of the science-policy interface of the discourses on sustainable development
Factors of Domestic Violence Against Women: Correlation of Women’s Rights and Vulnerability

Many studies have looked into domestic violence but very few have considered women’s knowledge and perception about their rights. This study aims to examine the main sociocultural factors behind domestic violence against women with an emphasis on the power of the knowledge and perception of the women about their international and constitutional rights. Quantitative data collected in 2015 in the regions of East and Southwest Burkina Faso is used in this paper. Multivariate logistic regression is implemented to take into consideration the net effects of each factor when controlling the effects of other covariates. Results of this paper can be used to implement actions against domestic violence in the zone of intervention of the Program of Sexual Health and Human Rights project.
Cooperation Strategies and Knowledge Spillovers . Evidence from the Fourth Italian Community Innovation Survey

This paper examines the determinants of R&D cooperation focusing on the relationship between firms R&D cooperation and knowledge spillovers on a sample of Italian innovative firms drawn from the Italian Fourth Community Innovation Survey. I explore this relationships taking into account different types of R&D cooperations and the endogeneity problems which arise from the likely mutual dependence between R&D cooperation and knowledge spillovers and the fact that determinants potentially driving firms’ choice to engage in R&D cooperation could simultaneously affect incoming knowledge spillovers . Applying the Newey’s minimum chi-squared two-step estimator I estimate an instrumental variable probit model in order to control for endogeneity and I find a significant and positive effect of knowledge spillovers on firms’ decision to engage in R&D cooperations. Moreover, I find a non linear effect of technology advancement of firms on the propensity to cooperate in R&D while firms’ absorptive capacity and European Union support on innovation activities seems to be very effective to increase both R&D cooperations and the level of knowledge spillovers. Finally, foreign multinational companies which invested in Italy have been less eager to engage in R&D co-operative agreements than domestic firms, suggesting that these firms’ deciding motives to invest in Italy are more likely to be asset-exploiting than asset-seeking. JEL Classification: O31; O32; L22
Pyramidal dual-tree directional filter bank based exposure fusion for two complementary images

Currently, most exposure fusion methods are easy to be influenced by the location of object in the image. In order to reduce the influence caused by un-alignment in the source images, shift-invariance multiscale decomposition can be used to fuse images. However, commonly used shift-invariant decomposition methods have high redundant ratio, which limits their application. So, redundant ratio of decomposition is an important factor, which must be considered for exposure fusion method. In this paper, a novel exposure fusion method is proposed, which is based on a pyramidal dual-tree directional filter bank (PDTDFB) having both shift-invariance and low redundant ratio characteristics. Furthermore, different fusion rules are used for coefficient selection in the lowpass and highpass subimages. Experiments show that the proposed method can extract more important visual information from input images than typical exposure fusion methods.
Politecnico di Torino Porto Institutional Repository [ Proceeding ] NEMICO : Mining network data through cloud-based data mining techniques

Thanks to the rapid advances in Internet-based applications, data acquisition and storage technologies, petabytesized network data collections are becoming more and more common, thus prompting the need for scalable data analysis solutions. By leveraging today’s ubiquitous many-core computer architectures and the increasingly popular cloud computing paradigm, the applicability of data mining algorithms to these large volumes of network data can be scaled up to gain interesting insights. This paper proposes NEMICO, a comprehensive Big Data mining system targeted to network traffic flow analyses (e.g., traffic flow characterization, anomaly detection, multiple-level pattern mining). NEMICO comprises new approaches that contribute to a paradigm-shift in distributed data mining by addressing most challenging issues related to Big Data, such as data sparsity, horizontal scaling, and parallel computation.
Methylation of histone H3 Lys 4 in coding regions of active genes

Posttranslational modifications of histone tails regulate chromatin structure and transcription. Here we present global analyses of histone acetylation and histone H3 Lys 4 methylation patterns in yeast. We observe a significant correlation between acetylation of histones H3 and H4 in promoter regions and transcriptional activity. In contrast, we find that dimethylation of histone H3 Lys 4 in coding regions correlates with transcriptional activity. The histone methyltransferase Set1 is required to maintain expression of these active, promoter-acetylated, and coding region-methylated genes. Global comparisons reveal that genomic regions deacetylated by the yeast enzymes Rpd3 and Hda1 overlap extensively with Lys 4 hypo- but not hypermethylated regions. In the context of recent studies showing that Lys 4 methylation precludes histone deacetylase recruitment, we conclude that Set1 facilitates transcription, in part, by protecting active coding regions from deacetylation.
Generating near-optimal survivable topologies

Given the node location and the traffic matrix, the survivable topological design is the problem of determining the network topology at minimum capital expenditure such that survivability is ensured. This problem is strongly NP-hard and heuristics are traditionally used to search near-optimal solutions. We present a genetic algorithm for this problem and analyze the impact of the initial population in the obtained results.
A data mining method on the study of medical information

For a long time, the cause of diabetes has been an unsolved problem. And with the deepening of diabetes research, much information has been collected. There may contain lots of interesting information within the collected medical information. But, the traditional medical methods can only study the human organ from the microscopic view, and lack of the capability of process large medical data set. So, in this paper, an data mining method is introduced to provide a new way to find the diabetes etiology.
Minimum Cost Resource Allocation for Meeting Job Requirements

We consider the problem of allocating resources for completing a collection of jobs. Each resource is specified by a start-time, finish-time and the capacity of resource available and has an associated cost, and each job is specified by a start-time, finish-time and the amount of the resource required (demand) during this interval. A feasible solution is a multiset of resources (i.e., multiple units of each resource may be picked) such that at any point of time, the sum of the capacities offered by the resources is at least the total demand of the jobs active at that point of time. The cost of the solution is the sum of the costs of the resources included in the solution (taking into account the units of the resources). The goal is to find a feasible solution of minimum cost. This problem arises naturally in many scenarios. For example, given a set of jobs, we would like to allocate some resource such as machines, memory or bandwidth in order to complete all the jobs. This problem generalizes a covering version of the knapsack problem which is known to be NP-hard. We present a constant factor approximation algorithm for this problem based on a Primal-Dual approach.
Mid-Infrared Spitzer Spectra of X-Ray-Selected Type 2 QSOs: QSO2s Are Not Ultraluminous Infrared Galaxies

We have performed a spectroscopic study of seven Type 2 QSOs using the mid-infrared spectrometer IRS on board the Spitzer Space Telescope. These are (to our knowledge) the first mid-IR spectra of X-ray-selected QSO2s taken. The objects have been selected according to their high intrinsic luminosities and column densities in X-rays. Their spectra strongly differ from template spectra of Type 2 active galactic nuclei (AGNs) at lower luminosities. They do not exhibit strong PAH dust emission features from circumnuclear star-forming regions, typical for lower luminosity Type 2 Seyfert galaxies or other previously used QSO2 templates, such as the (ultra)luminous infrared galaxy ([U]LIRG) NGC 6240. They also do not show the ice and silicate absorption features of highly luminous but deeply embedded compact nuclei seen in some ULIRGs. Instead, they reveal a relatively featureless, rising continuum similar to luminous Type 1 AGNs. We also find evidence for a 10 μm silicate feature in emission. Models of dusty tori in the AGN unification scenario predict this only for Type 1 AGNs. The ratio of the AGN continuum luminosity at 6 μm to the absorption-corrected 2-10 keV X-ray AGN luminosity is very similar to that found in Seyfert galaxies. X-ray-selected QSO2s are thus characterized by powerful AGNs in hosts with a luminosity due to star formation ≲1011 L☉. The dominance of the AGN light in the mid-IR spectra of QSO2s together with their flatter spectral energy distributions (SEDs) places important constraints on models of the cosmic infrared background and of the star formation history of the universe.
A survey of wireless data center networks

Data centers are becoming more and more popular for a wide variety of applications. However, the efficiency of data centers are restricted by many issues like cabling and maintenance problems in addition to performance problems like oversubscription. Wireless technology was proposed as it has the capability and the flexibility to offer feasible approaches to solve some of these problems. In this paper, we conduct a deep investigation about wireless data center networks, describe some works that enhance the performance of the network, then give some remarks and critiques.
SYNERGISTIC RELATIONSHIPS AMONG STRESS, DEPRESSION, AND TROUBLED RELATIONSHIPS: INSIGHTS FROM PSYCHONEUROIMMUNOLOGY

Stress and depression consistently elevate inflammation and are often experienced simultaneously, which is exemplified by people in troubled relationships. Troubled relationships also elevate inflammation, which may be partially explained by their ability to engender high levels of stress and depression. People who are stressed, depressed, or in troubled relationships are also at greater risk for health problems than their less distressed counterparts. Inflammation, a risk factor for a variety of age‐related diseases including cardiovascular disease, Type II diabetes, metabolic syndrome, and frailty, may be one key mechanistic pathway linking distress to poor health. Obesity may further broaden the health implications of stress and depression; people who are stressed or depressed are often overweight, and adipose tissue is a major source of proinflammatory cytokines. Stress, depression, and troubled relationships may have synergistic inflammatory effects: loneliness, subclinical depression, and major depression enhance inflammatory responses to an acute stressful event. The relationship between distress and inflammation is bidirectional; depression enhances inflammation and inflammation promotes depression. Interesting questions emerge from this literature. For instance, some stressors may be more potent than others and thus may be more strongly linked to inflammation. In addition, it is possible that psychological and interpersonal resources may buffer the negative inflammatory effects of stress. Understanding the links among stress, depression, troubled relationships, and inflammation is an exciting area of research that may provide mechanistic insight into the links between distress and poor health.
Valproic Acid Teratogenicity: A Toxicogenomics Approach

Embryonic development is a highly coordinated set of processes that depend on hierarchies of signaling and gene regulatory networks, and the disruption of such networks may underlie many cases of chemically induced birth defects. The antiepileptic drug valproic acid (VPA) is a potent inducer of neural tube defects (NTDs) in human and mouse embryos. As with many other developmental toxicants however, the mechanism of VPA teratogenicity is unknown. Using microarray analysis, we compared the global gene expression responses to VPA in mouse embryos during the critical stages of teratogen action in vivo with those in cultured P19 embryocarcinoma cells in vitro. Among the identified VPA-responsive genes, some have been associated previously with NTDs or VPA effects [vinculin, metallothioneins 1 and 2 (Mt1, Mt2), keratin 1-18 (Krt1-18)], whereas others provide novel putative VPA targets, some of which are associated with processes relevant to neural tube formation and closure [transgelin 2 (Tagln2), thyroid hormone receptor interacting protein 6, galectin-1 (Lgals1), inhibitor of DNA binding 1 (Idb1), fatty acid synthase (Fasn), annexins A5 and A11 (Anxa5, Anxa11)], or with VPA effects or known molecular actions of VPA (Lgals1, Mt1, Mt2, Id1, Fasn, Anxa5, Anxa11, Krt1-18). A subset of genes with a transcriptional response to VPA that is similar in embryos and the cell model can be evaluated as potential biomarkers for VPA-induced teratogenicity that could be exploited directly in P19 cell–based in vitro assays. As several of the identified genes may be activated or repressed through a pathway of histone deacetylase (HDAC) inhibition and specificity protein 1 activation, our data support a role of HDAC as an important molecular target of VPA action in vivo.