Modern temporal network theory: A colloquium

The power of any kind of network approach lies in the ability to simplify a complex system so that one can better understand its function as a whole. Sometimes it is beneficial, however, to include more information than in a simple graph of only nodes and links. Adding information about times of interactions can make predictions and mechanistic understanding more accurate. The drawback, however, is that there are not so many methods available, partly because temporal networks is a relatively young field, partly because it more difficult to develop such methods compared to for static networks. In this colloquium, we review the methods to analyze and model temporal networks and processes taking place on them, focusing mainly on the last three years. This includes the spreading of infectious disease, opinions, rumors, in social networks; information packets in computer networks; various types of signaling in biology, and more. We also discuss future directions.Comment: Final accepted versio

Search for jet extinction in the inclusive jet-pT spectrum from proton-proton collisions at s=8 TeV

Published by the American Physical Society under the terms of the Creative Commons Attribution 3.0 License. Further distribution of this work must maintain attribution to the author(s) and the published articles title, journal citation, and DOI.The first search at the LHC for the extinction of QCD jet production is presented, using data collected with the CMS detector corresponding to an integrated luminosity of 10.7  fb−1 of proton-proton collisions at a center-of-mass energy of 8 TeV. The extinction model studied in this analysis is motivated by the search for signatures of strong gravity at the TeV scale (terascale gravity) and assumes the existence of string couplings in the strong-coupling limit. In this limit, the string model predicts the suppression of all high-transverse-momentum standard model processes, including jet production, beyond a certain energy scale. To test this prediction, the measured transverse-momentum spectrum is compared to the theoretical prediction of the standard model. No significant deficit of events is found at high transverse momentum. A 95% confidence level lower limit of 3.3 TeV is set on the extinction mass scale

Searches for electroweak neutralino and chargino production in channels with Higgs, Z, and W bosons in pp collisions at 8 TeV

Searches for supersymmetry (SUSY) are presented based on the electroweak pair production of neutralinos and charginos, leading to decay channels with Higgs, Z, and W bosons and undetected lightest SUSY particles (LSPs). The data sample corresponds to an integrated luminosity of about 19.5 fb(-1) of proton-proton collisions at a center-of-mass energy of 8 TeV collected in 2012 with the CMS detector at the LHC. The main emphasis is neutralino pair production in which each neutralino decays either to a Higgs boson (h) and an LSP or to a Z boson and an LSP, leading to hh, hZ, and ZZ states with missing transverse energy (E-T(miss)). A second aspect is chargino-neutralino pair production, leading to hW states with E-T(miss). The decays of a Higgs boson to a bottom-quark pair, to a photon pair, and to final states with leptons are considered in conjunction with hadronic and leptonic decay modes of the Z and W bosons. No evidence is found for supersymmetric particles, and 95% confidence level upper limits are evaluated for the respective pair production cross sections and for neutralino and chargino mass values

Interação cultivares de milho X épocas de semeadura em diferentes ambientes do Estado de Minas Gerais.

Foram utilizados 20 cultivares, sendo cinco de cada grupo: hibridos simples, triplos, duplos e variedade de polinizacao livre, os quais foram avaliados em tres epocas de semeaduras e em tres municipios do Estado de Minas Gerais. Em cada um dos locais foram conduzidos tres experimentos. No primeiro, a semeadura foi realizada em outubro; no segundo e terceiro, 30 e 60 dias apos. O delineamento experimental foi o de blocos ao acaso com tres repeticoes. As parcelas foram constituidas de duas fileiras de 4 m de comprimento. Constatou-se efeito significativo (P< 0.01) na fonte de variacao epoca de semeadura, em todos os caracteres. Observaram-se diferencas entre e dentro dos grupos, e o grupo dos hibridos triplos foi o mais produtivo. O atraso na epoca de semeadura reduziu a expressao dos caracteres dias para o florescimento masculino, altura de plantas e peso de espigas despalhadas. O decrescimo na producao de espigas despalhadas, como conseqüência do atraso na semeadura, foi semelhante nos diferentes grupos de cultivares. O atraso na semeadura, a partir da segunda quinzena de outubro, ocasionou reducao de 28 kg/ha/dia na produtividade de espigas despalhadas, e ate 15 de dezembro isso causou uma reducao de 20% na expressao desse carater.199

Sart: A New Association Rule Method For Mining Sequential Patterns In Time Series Of Climate Data

Technological advancement has enabled improvements in the technology of sensors and satellites used to gather climate data. The time series mining is an important tool to analyze the huge quantity of climate data. Here, we propose the Sequential Association Rules from Time series - SART method to mine association rules in time series that keeps the information of time between related events through an overlapped sliding-window approach. Also the proposed method mines association rules, while the previous ones produce frequent sequences, adding the semantic information of confidence, which was not previously defined by sequential patterns. Experiments were conducted with real data collected from climate sensors. The results showed that the proposed method increases the number of mined patterns when compared with the traditional sequential mining, revealing related events that occur over time. Also, the method adds the semantic information related to the confidence and time to the mined patterns. © 2012 Springer-Verlag.7335 LNCSPART 3743757Universidade Federal da Bahia (UFBA),Universidade Federal do Reconcavo da Bahia (UFRB),Universidade Estadual de Feira de Santana (UEFS),University of Perugia,University of Basilicata (UB)Agrawal, R., Faloutsos, C., Swami, A., Efficient similarity search in sequence databases (1993) 4th Int. CFDOA, Chicago, IL, pp. 69-84Agrawal, R., Srikant, R., Mining sequential patterns (1995) Proceedings of the 11th International Conference on Data Engineering (ICDE 1995), pp. 3-14. , Yu, P.S., Chen, A.S.P. (eds.) IEEE Press, TaipeiRibeiro, M.X., Traina, A.J.M., Traina, J.C., A new algorithm for data discretization and feature selection (2008) Proceedings of the 2008 ACM Symposium on Applied Computing, pp. 953-954. , ACM, FortalezaSrikant, R., Agrawal, R., Mining sequential patterns: Generalizations and performance improvements (1996) ICEDT, Avignon, France, pp. 3-17. , SpringerPei, J., Han, J., Mortazavi-Asl, B., Pinto, H., Prefixspan: Mining sequential patterns efficiently by prefix-projected pattern growth (2001) Proceedings of the 17th International Conference on Data Engineering, pp. 215-224. , IEEE Computer Society, Washington, DCLu, H., Feng, L., Han, J., Beyond intratransaction association analysis: Mining multidimensional intertransaction association rules (2000) ACM Trans. Inf. Syst., 18, pp. 423-454Romani, L.A.S., Clearminer: A new algorithm for mining association patterns on heterogeneous time series from climate data (2010) Proceedings of the 2010 ACM Symposium on Applied Computing, pp. 900-905. , ACM, New YorkSubramanyam, R.B.V., Goswami, A., A fuzzy data mining algorithm for incremental mining of quantitative sequential patterns (2005) Int. J. Uncertain. Fuzziness Knowl.-Based Syst., 13, pp. 633-652Zaki, M.J., Spade: An efficient algorithm for mining frequent sequences (2001) Mach. Learn., 42, pp. 31-60Park, J.S., Chen, M.-S., Yu, P.S., An effective hash-based algorithm for mining association rules (1995) Proceedings of the 1995 ACM SIGMOD International Conference on Management of Data, pp. 175-186. , ACM, New YorkTung, A.K., Angelis, L., Vlahavas, I., Breaking the barrier of transactions: Mining intertransaction association rules (1999) Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 297-301. , ACM, New YorkFeng, L., Yu, X.J., Lu, H., Han, J., A template model for multidimensional intertransactional association rules (2002) The VLDB Journal, 11, pp. 153-175Hu, Y., Huang, T.C., Yang, H., Chen, Y., On mining multi-time-interval sequential patterns (2009) Knowledge Engineering, 68 (10), pp. 1112-1127Han, J., Pei, J., Mortazavi-Asl, B., Chen, Q., Dayal, U., Hsu, M.-C., Freespan: Frequent pattern-projected sequential pattern mining (2000) Proc. 2000 Int. Conf. Knowledge Discovery and Data Mining (KDD 2000), Boston, MA, pp. 355-359Saputra, D., Dayang, R.A.R., Foong, O.M., Mining sequential patterns using I-prefixSpan (2008) International Journal of Computer Science and Engineering, 2, pp. 14-16Berberidis, C., Angelis, L., Vlahavas, I., Inter-transaction Association Rules Mining for Rare Events Prediction Proc. (Companion Volume) 3rd Hellenic Conference on Artificial Intelligence (SETN 2004), Samos, Greece (2004)Zhao, Q., Bhowmick, S.S., (2003) Sequential Pattern Matching: A Survey, , Technical Report, CAIS, Nanyang Technological University, SingaporeLee, A.J.T., Wang, C.-S., An efficient algorithm for mining frequent inter-transaction patterns (2007) Inf. Sci., 177 (17), pp. 3453-347

Ovarian follicular cycle of Tropidurus hispidus and Tropidurus semitaeniatus (Squamata: Tropiduridae) in a semiarid region of Brazil

The reproductive cycle of Squamata reptiles is often associated with environmental conditions, such as rainfall. In this respect, seasonal variations may affect the morphology of the ovarian follicles, which are associated with vitellogenesis. The present study describes histological alterations in the ovarian cycle of two lizard species, Tropidurus hispidus (Spix, 1825) and Tropidurus semitaeniatus (Spix, 1825), which inhabit a caatinga region in the state of Rio Grande do Norte. Our goal was to identify morphological differences in the ovarian follicles at each phase of vitelloge nesis and to ascertain if they are associated with rainfall. Three follicular phases were identified in both species: pre-vitellogenesis, vitellogenesis and follicular atresia. An additional phase, the luteal, was found only in T. hispidus. During the development of these phases, vitellus was deposited inside the oocyte and there were identifiable alterations in the granulosa and thecal layers. Rainfall was found to influence the gonadal cycle