Examinando por Autor "Zhang, Xiaoxiao"

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    Gender gap in parental leave intentions: evidence from 37 countries
    (John Wiley and Sons Inc, 2023-12-01) Olsson, Maria I.T.; Van Grootel, Sanne; Block, Katharina; Schuster, Carolin; Meeussen, Loes; Van Laar, Colette; Schmader, Toni; Croft, Alyssa; Sun, Molly Shuyi; Ainsaar, Mare; Aarntzen, Lianne; Adamus, Magdalena; Anderson, Joel; Atkinson, Ciara; Avicenna, Mohamad; Bąbel, Przemysław; Barth, Markus; Benson-Greenwald, Tessa M.; Maloku, Edona; Berent, Jacques; Bergsieker, Hilary B.; Biernat, Monica; Bîrneanu, Andreea G.; Bodinaku, Blerta; Bosak, Janine; Bosson, Jennifer; Branković, Marija; Burkauskas, Julius; Čavojová, Vladimíra; Cheryan, Sapna; Choi, Eunsoo; Choi, Incheol; Contreras Ibañez, Carlos César; Coogan, Andrew ; Danyliuk, Ivan; Dar Nimrod, Ilan; Dasgupta, Nilanjana; Lemus, Sonia de; Devos, Thierry; Diab, Marwan; Diekman, Amanda B.; Efremova, Maria; Eisner, Léïla; Eller, Anja; Erentaite, Rasa; Fedáková, Denisa; Franc, Renata; Gartzia Fernández, Leire ; Gavreliuc, Alin; Gavreliuc, Dana; Gecaite-Stonciene, Julija; Germano, Adriana L.; Giovannelli, Ilaria; Gismondi Diaz, Renzo; Gitikhmayeva, Lyudmila; Gizaw, Abiy Menkir; Gjoneska, Biljana; Martínez González, Óscar; González, Roberto; Grijalva Alvear, Isaac David ; Güngör, Derya; Gustafsson Sendén, Marie; Hall, William; Harb, Charles; Hassan, Bushra; Hässler, Tabea; Hawi, Diana R.; Henningsen, Levke; Hoppe, Annedore; Ishii, Keiko; Jakšić, Ivana; Jasini, Alba; Jurkevičienė, Jurgita; Kelmendi, Kaltrina; Kirby, Teri A.; Kitakaji, Yoko; Kosakowska-Berezecka, Natasza; Kozytska, Inna ; Kulich, Clara; Kundtová-Klocová, Eva; Kunuroglu, Filiz; Aidy, Christina Lapytskaia; Lee, Albert; Lindqvist, Anna; López López, Wilson; Luzvinda, Liany; Maricchiolo, Fridanna; Martinot, Delphine; McNamara, Rita Anne ; Meister, Alyson ; Melka, Tizita Lemma; Mickuviene, Narseta; Miranda Orrego, María Isabel; Mkamwa, Thadeus; Morandini, James; Morton, Thomas; Mrisho, David; Nikitin, Jana; Otten, Sabine; Pacilli, Maria Giuseppina; Page-Gould, Elizabeth; Perandrés, Ana; Pizarro Pérez, Jon; Pop-Jordanova, Nada; Pyrkosz-Pacyna, Joana; Quta, Sameir; Ramis, TamilSelvan; Rani, Nitya; Redersdorff, Sandrine; Régner, Isabelle; Renström, Emma A.; Rivera Rodriguez, Adrián; Rocha Sánchez, Tania Esmeralda; Ryabichenko, Tatiana ; Saab, Rim; Sakata, Kiriko; Samekin, Adil; Sánchez-Pachecho, Tracy; Scheifele, Carolin; Schulmeyer, Marion K.; Sczesny, Sabine; Sirlopú, David; Smith-Castro, Vanessa; Soo, Kadri; Spaccatini, Federica; Steele, Jennifer R.; Steffens, Melanie C.; Sucic, Ines; Vandello, Joseph ; Velásquez Díaz, Laura María; Vink, Melissa; Vives, Eva; Warkineh, Turuwark Zalalam; Žeželj, Iris; Zhang, Xiaoxiao; Zhao, Xian; Martiny, Sarah E.
    Despite global commitments and efforts, a gender-based division of paid and unpaid work persists. To identify how psychological factors, national policies, and the broader sociocultural context contribute to this inequality, we assessed parental-leave intentions in young adults (18–30 years old) planning to have children (N = 13,942; 8,880 identified as women; 5,062 identified as men) across 37 countries that varied in parental-leave policies and societal gender equality. In all countries, women intended to take longer leave than men. National parental-leave policies and women's political representation partially explained cross-national variations in the gender gap. Gender gaps in leave intentions were paradoxically larger in countries with more gender-egalitarian parental-leave policies (i.e., longer leave available to both fathers and mothers). Interestingly, this cross-national variation in the gender gap was driven by cross-national variations in women's (rather than men's) leave intentions. Financially generous leave and gender-egalitarian policies (linked to men's higher uptake in prior research) were not associated with leave intentions in men. Rather, men's leave intentions were related to their individual gender attitudes. Leave intentions were inversely related to career ambitions. The potential for existing policies to foster gender equality in paid and unpaid work is discussed.
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    Ítem
    Genetic optimised serial hierarchical fuzzy classifier for breast cancer diagnosis
    (Inderscience Publishers, 2020) Zhang, Xiaoxiao; Onieva Caracuel, Enrique; Perallos Ruiz, Asier; Osaba, Eneko
    Accurate early-stage medical diagnosis of breast cancer can improve the survival rates and fuzzy rule-base system (FRBS) has been a promising classification system to detect breast cancer. However, the existing classification systems involves large number of input variables for training and produces a large number of fuzzy rules, which lead to high complexity and barely acceptable accuracy. In this paper, we present a genetic optimised serial hierarchical FRBS, which incorporates lateral tuning of membership functions and optimisation of the rule base. The serial hierarchical structure of FRBS allows selecting and ranking the input variables, which reduces the system complexity and distinguish the importance of attributes in datasets. We conduct an experimental study on Original Wisconsin Breast Cancer Database and Wisconsin Breast Cancer Diagnostic Database from UCI Machine Learning Repository, and show that the proposed system can classify breast cancer accurately and efficiently.