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A COSMIC-FFP Based Method to Estimate Web Application Development Effort
, 2004 In the paper we address the problem of estimating the effort required to develop dynamic web applications. In particular, we provide an adaptation of the Cosmic Full Function Point method to be applied on design documents for counting data movements.FERRUCCI, Filomena, GRAVINO, Carmine, COSTAGLIOLA, Gennaro, Gennaro Costagliola, Carmine Gravino, TORTORA, Genoveffa, Filomena Ferrucci, Giuliana Vitiello, Genoveffa Tortora, VITIELLO, Giuliana +9 morecore +1 more sourceEuclid preparation
Astronomy & AstrophysicsThe ongoing Euclid mission is aimed at measuring spectroscopic redshifts for approximately two million galaxies using the Hα line emission detected in near-infrared slitless spectroscopic data from the Euclid Deep Fields, leveraging both the red and blue Kraljic K., Laigle C., Balogh M., Jablonka P., Kuchner U., Malavasi N., Sarron F., Pichon C., De Lucia G., Bethermin M., Durret F., Fumagalli M., Gouin C., Magliocchetti M., Sorce J. G., Cucciati O., Fontanot F., Hirschmann M., Kang Y., Spinelli M., Aghanim N., Amara A., Andreon S., Auricchio N., Baccigalupi C., Baldi M., Bardelli S., Biviano A., Branchini E., Brescia M., Brinchmann J., Camera S., Cañas-Herrera G., Capobianco V., Carbone C., Carretero J., Casas R., Casas S., Castander F. J., Castellano M., Castignani G., Cavuoti S., Chambers K. C., Cimatti A., Colodro-Conde C., Congedo G., Conselice C. J., Conversi L., Copin Y., Courbin F., Courtois H. M., Da Silva A., Degaudenzi H., de la Torre S., Dole H., Douspis M., Dubath F., Duncan C. A. J., Dupac X., Dusini S., Escoffier S., Farina M., Farinelli R., Ferriol S., Finelli F., Fosalba P., Fourmanoit N., Frailis M., Franceschi E., Fumana M., Galeotta S., George K., Gillard W., Gillis B., Giocoli C., Gracia-Carpio J., Grazian A., Grupp F., Haugan S. V. H., Holmes W., Hormuth F., Hornstrup A., Jahnke K., Jhabvala M., Joachimi B., Keihänen E., Kermiche S., Kiessling A., Kilbinger M., Kubik B., Kümmel M., Kunz M., Kurki-Suonio H., Le Brun A. M. C., Ligori S., Lilje P. B., Lindholm V., Lloro I., Mainetti G., Maino D., Maiorano E., Mansutti O., Marcin S., Marggraf O., Martinelli M., Martinet N., Marulli F., Massey R., Maurogordato S., Medinaceli E., Mei S., Mellier Y., Meneghetti M., Merlin E., Meylan G., Mora A., Moresco M., Moscardini L., Nakajima R., Neissner C., Niemi S.-M., Padilla C., Paltani S., Pasian F., Pedersen K., Percival W. J., Pettorino V., Pires S., Polenta G., Poncet M., Popa L. A., Pozzetti L., Raison F., Rebolo R., Renzi A., Rhodes J., Riccio G., Romelli E., Roncarelli M., Rosset C., Rossetti E., Saglia R., Sakr Z., Sánchez A. G., Sapone D., Sartoris B., Schneider P., Schrabback T., Scodeggio M., Secroun A., Sefusatti E., Seidel G., Seiffert M., Serrano S., Simon P., Sirignano C., Sirri G., Stanco L., Steinwagner J., Tallada-Crespí P., Taylor A. N., Teplitz H. I., Tereno I., Tessore N., Toft S., Toledo-Moreo R., Torradeflot F., Tutusaus I., Valenziano L., Valiviita J., Vassallo T., Verdoes Kleijn G., Veropalumbo A., Vibert D., Wang Y., Weller J., Zacchei A., Zamorani G., Zucca E., Allevato V., Ballardini M., Bolzonella M., Bozzo E., Burigana C., Cabanac R., Calabrese M., Cappi A., Di Ferdinando D., Escartin Vigo J. A., Gabarra L., Hartley W. G., Martín-Fleitas J., Matthew S., Mauri N., Metcalf R. B., Nucita A. A., Pezzotta A., Pöntinen M., Porciani C., Risso I., Scottez V., Sereno M., Tenti M., Viel M., Wiesmann M., Akrami Y., Alvi S., Andika I. T., Anselmi S., Archidiacono M., Atrio-Barandela F., Balaguera-Antolinez A., Bergamini P., Bertacca D., Blanchard A., Blot L., Böhringer H., Borgani S., Brown M. L., Bruton S., Calabro A., Camacho Quevedo B., Caro F., Carvalho C. S., Castro T., Chary R., Cogato F., Conseil S., Contini T., Cooray A. R., Davini S., De Paolis F., Desprez G., Díaz-Sánchez A., Diaz J. J., Di Domizio S., Diego J. M., Dimauro P., Duc P.-A., Enia A., Fang Y., Ferrari A. G., Finoguenov A., Fontana A., Franco A., Ganga K., García-Bellido J., Gasparetto T., Gavazzi R., Gaztanaga E., Giacomini F., Gianotti F., Gozaliasl G., Guidi M., Gutierrez C. M., Hall A., Hildebrandt H., Hjorth J., Joudaki S., Kajava J. J. E., Kansal V., Karagiannis D., Kiiveri K., Kirkpatrick C. C., Kruk S., Lattanzi M., Le Brun V., Le Graet J., Legrand L., Lembo M., Lepori F., Leroy G., Lesci G. F., Lesgourgues J., Leuzzi L., Liaudat T. I., Liu S. J., Loureiro A., Macias-Perez J., Maggio G., Magnier E. A., Mannucci F., Maoli R., Martins C. J. A. P., Maurin L., Miluzio M., Monaco P., Moretti C., Morgante G., Nadathur S., Naidoo K., Navarro-Alsina A., Nesseris S., Pagano L., Passalacqua F., Paterson K., Patrizii L., Pisani A., Potter D., Quai S., Radovich M., Rocci P.-F., Rodighiero G., Sacquegna S., Sahlén M., Sanders D. B., Schneider A., Sciotti D., Sellentin E., Smith L. C., Tanidis K., Tao C., Testera G., Teyssier R., Tosi S., Troja A., Tucci M., Valieri C., Venhola A., Vergani D., Verza G., Vielzeuf P., Walton N. A. +322 moredoaj +1 more sourceUltra‐Weak Photon Emission as a By‐Product of Mitochondrial Oxidative Metabolism: Mechanisms, Limits, and Implications
Nanophotonics, Volume 15, Issue 20, 27 October 2026.Mitochondrial oxidative metabolism generates ROS. Downstream chemiexcitation triplet carbonyls, singlet oxygen; produces ultra‐weak photon emission (UPE). Energetic bounds restrict well‐coupled respiration to extremely weak, red/NIR‐biased emission. Stronger visible UPE indicates elevated oxidative flux, linking measured photon counts to redox state ...Samuel Crowther, Alice Attenborough, Frank Vollmer +2 morewiley +1 more sourceSearch for Cosmic-Ray Events Using Radio Signals and CNNs in Data from the IceTop Enhancement Prototype Station
Cosmic-ray air showers emit radio waves that can be used to measure the properties of cosmic-ray primary particles. The radio detection technique presents several advantages, such as low cost and year-round duty cycle as well as the ability to provide ...Schröder, F. G., Walck, Christian,, Finley, Chad,, Rehman, A., Abbasi, R., Jansson, Matti,, Kullgren, D., Zimmerman, M., Deoskar, Kunal,, Hidvegi, Attila,, Hultqvist, Klas,, Coleman, A., Basu, V., Schröder, F.G., Adams, J., Alameddine, J.M., Amin, N.M., Bai, X., Ahlers, M., Schlüter, Felix, Agarwalla, S.K., Argüelles, C., Balagopal, A.V., Anton, G., Baricevic, M., Barwick, S.W., Toscano, Simona, Ashida, Y., Ackermann, M., Abbasi, Rasha, Axani, S.N., Andeen, K., Athanasiadou, S., Aguilar, J.A., et al. +34 morecore +1 more sourceDeep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences
Advanced Science, Volume 13, Issue 59, 23 October 2026.This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...Xiaowen Hu, Pan Zhang, Shangqian Wu, Hao Sun, Minwei Li, Sophia Tsoka, Zizhang Sheng, Lei Deng +7 morewiley +1 more sourceThe impact of cosmic filaments on starburst galaxies across cosmic times
Astronomy & AstrophysicsCosmological simulations suggest that various galaxy properties depend on their location within the cosmic web. Yet direct observational evidence of the dependence of star formation activity on distance to filaments remains scarce and is missing at z ≳ 1.Jego Baptiste, Béthermin Matthieu, Kraljic Katarina, Laigle Clotilde, Wang Lingyu, La Marca Antonio, Ilbert Olivier, Akins Hollis B., Casey Caitlin M., Leroy Gavin, Hadi Ali, Kartaltepe Jeyhan S., Koekemoer Anton M., McCracken Henry Joy, Paquereau Louise, Rhodes Jason, Robertson Brant E., Shuntov Marko, Toni Greta, Xu Can +19 moredoaj +1 more source