Literatura científica selecionada sobre o tema "Labels de poids"
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Artigos de revistas sobre o assunto "Labels de poids"
Chauvin, Pierre-Antoine. "L’administration inégalitaire de l’attente". Actes de la recherche en sciences sociales N° 250, n.º 5 (9 de janeiro de 2024): 80–97. http://dx.doi.org/10.3917/arss.250.0080.
Texto completo da fonteXie, Xuejing, Yawen Liu, Yongyang Xu, Zhanjun He, Xueye Chen, Xiaoyun Zheng e Zhong Xie. "Building Function Recognition Using the Semi-Supervised Classification". Applied Sciences 12, n.º 19 (1 de outubro de 2022): 9900. http://dx.doi.org/10.3390/app12199900.
Texto completo da fonteWang, Jionghua, Haowen Luo, Wenyu Li e Bo Huang. "Building Function Mapping Using Multisource Geospatial Big Data: A Case Study in Shenzhen, China". Remote Sensing 13, n.º 23 (23 de novembro de 2021): 4751. http://dx.doi.org/10.3390/rs13234751.
Texto completo da fonteBENABDELJELIL, K., e P. MÉRAT. "Test de types génétiques pour une production avicole locale au Maroc". INRAE Productions Animales 5, n.º 3 (29 de julho de 1992): 173–78. http://dx.doi.org/10.20870/productions-animales.1992.5.3.4231.
Texto completo da fonteWinarti, Sri, e Yuni Ningsih. "Pelatihan Pengemasan Dan Pelabelan Bandeng Sapit Di UD. Barokah Gunung Anyar Tambak". JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) 4, n.º 1 (7 de abril de 2020): 1. http://dx.doi.org/10.36339/je.v4i1.265.
Texto completo da fonteXie, Youping, Haibo Zeng, Kaijun Yang, Qiming Yuan e Chao Yang. "Water-Body Detection in Sentinel-1 SAR Images with DK-CO Network". Electronics 12, n.º 14 (21 de julho de 2023): 3163. http://dx.doi.org/10.3390/electronics12143163.
Texto completo da fonteBazanella, Pricila Carla, e Márcia Keller Alves. "Rotulagem de Ovos e Mel: Avaliação de Conformidades à Legislação Vigente". Ensaios e Ciência: Ciências Biológicas, Agrárias e da Saúde 23, n.º 2 (9 de dezembro de 2019): 94. http://dx.doi.org/10.17921/1415-6938.2019v23n2p94-97.
Texto completo da fonteZhu, Hui, Kaiqi Zhang, Changjun Wang, Lujin Jia e Siyu Song. "The Impact of Road Functions on Road Congestions Based on POI Clustering: An Empirical Analysis in Xi’an, China". Journal of Advanced Transportation 2023 (18 de fevereiro de 2023): 1–17. http://dx.doi.org/10.1155/2023/6144048.
Texto completo da fonteZou, He e Zhu. "An Automatic Annotation Method for Discovering Semantic Information of Geographical Locations from Location-Based Social Networks". ISPRS International Journal of Geo-Information 8, n.º 11 (29 de outubro de 2019): 487. http://dx.doi.org/10.3390/ijgi8110487.
Texto completo da fonteRICARD, F. H., e M. J. PETITJEAN. "Un exemple de conservation du patrimoine génétique chez la poule". INRAE Productions Animales 1, n.º 5 (12 de dezembro de 1988): 345–54. http://dx.doi.org/10.20870/productions-animales.1988.1.5.4470.
Texto completo da fonteTeses / dissertações sobre o assunto "Labels de poids"
Chazelle, Thomas. "Influence sociale sur la représentation corporelle : Approche expérimentale de l'effet des médias et des labels de poids sur des jugements de corpulence". Electronic Thesis or Diss., Université Grenoble Alpes, 2023. http://www.theses.fr/2023GRALS063.
Texto completo da fonteBody representation is the set of cognitive functions that track the state of the body. It is involved in a variety of situations, such as the perception of the physical dimensions of the body, action, and the generation of attitudes towards the body. To perform these functions, it relies on the flexible use of a range of sensorimotor information, as well as on the individual's beliefs, expectations and emotions. Among the sources of information available about the body, social influence can be a risk, maintenance, and severity factor in body image distortions. However, while social influence on the attitudinal aspects of body representation is well established, there is little experimental evidence of such influence on its perceptual aspects. The aim of this thesis is to study the integration of social information into the perceptual dimension of the representation of body size. To this end, we conducted a series of experiments with young women, a demographic that is particularly prone to distortions of body representation. A first axis focuses on interpersonal influence by testing the effect of weight labels on perceptual judgments. To investigate their informational influence, we manipulated the reliability of multiple cues to study how they were combined. Our results indicate that weight labels have a limited influence on judgments of body size. A second axis focuses on another type of social influence, media influence. Visual overexposure to specific body types is associated with body dissatisfaction, and could help explain the perceptual and attitudinal distortions of body representation. In this context, visual adaptation to bodies could explain how prolonged exposure to thin bodies can lead to an overestimation of one's own body size. We tested some of the hypotheses of this adaptation theory of body image distortion. These experiments highlight some limitations of the adaptation account; in particular, it is uncertain whether adaptation effects can influence the representation that individuals have of their own bodies. In conclusion, our results suggest that the perceptual dimension of the representation of body size may be resistant to some types of interpersonal and media social influence
Villars, Clément. "Mesure objective de l’activité physique en conditions de vie libre et relations avec l’adiponectine". Thesis, Lyon 1, 2011. http://www.theses.fr/2011LYO10301/document.
Texto completo da fonteAccurate measurements of physical activity in free living are needed to establish what dose of physical activity is necessary for obtaining a specific health benefits. The first aim of this work was to validate the Actiheart (which combines heart rate and accelerometry sensors) with doubly labeled water (DLW). We show a good level of concordance between physical activity energy expenditure (PAEE) estimated by Actiheart and DLW. Individualization of the relationship between heart rate and PAEE by an incremental test is needed for an accurate estimate of the PAEE at the individual level and to evaluate changes induced by an intervention. In laboratory, we show that the accuracy of Actiheart is activitydependent. This requires the establishment of their recognition from new sensors and mathematical models. Adiponectin, hormone secreted by adipose tissue, has a role in energy metabolism and its secretion decreases with obesity. However the effects of physical activity remain in contradiction in published studies. The second objective of this work was to evaluate the effect of physical activity and intervention with weight control on plasma adiponectin. We show that the total and high molecular weight adiponectin were negatively associated with modifications of the physical activity level. Further work is however necessary to understand the mechanisms underlying this modulation of plasma adiponectin which does not seem related to changes in synthesis in adipose tissue or muscle
Capítulos de livros sobre o assunto "Labels de poids"
Wang, Yue, Meng Chen, Xiaohui Yu e Yang Liu. "LCE: A Location Category Embedding Model for Predicting the Category Labels of POIs". In Neural Information Processing, 710–20. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70139-4_72.
Texto completo da fonteLagos, Nikolaos, Salah Aït-Mokhtar, Ioan Calapodescu e JinHee Lee. "Point of Interest Category Prediction with Under-Specified Hierarchical Labels". In PAIS 2022. IOS Press, 2022. http://dx.doi.org/10.3233/faia220070.
Texto completo da fontePietrobom, Angela Reolon, e Alexandre da Trindade Alfaro. "SUBSTITUIÇÃO DE ADITIVOS SINTÉTICOS POR EXTRATOS VEGETAIS EM DERIVADOS CÁRNEOS". In Ciência e Tecnologia de Alimentos: o avanço da ciência no Brasil, 138–49. Editora Científica Digital, 2023. http://dx.doi.org/10.37885/231115062.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Labels de poids"
Wu, Yifan, Steven Drucker, Matthai Philipose e Lenin Ravindranath. "Querying Videos Using DNN Generated Labels". In SIGMOD/PODS '18: International Conference on Management of Data. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3209900.3209909.
Texto completo da fonteYang, Ke, Julia Stoyanovich, Abolfazl Asudeh, Bill Howe, HV Jagadish e Gerome Miklau. "A Nutritional Label for Rankings". In SIGMOD/PODS '18: International Conference on Management of Data. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3183713.3193568.
Texto completo da fonteValstar, Lucien D. J., George H. L. Fletcher e Yuichi Yoshida. "Landmark Indexing for Evaluation of Label-Constrained Reachability Queries". In SIGMOD/PODS'17: International Conference on Management of Data. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3035918.3035955.
Texto completo da fonteYe, Chang, Yuchen Li, Bingsheng He, Zhao Li e Jianling Sun. "GPU-Accelerated Graph Label Propagation for Real-Time Fraud Detection". In SIGMOD/PODS '21: International Conference on Management of Data. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3448016.3452774.
Texto completo da fonteFilippidou, Ioanna, e Yannis Kotidis. "Online Partitioning of Multi-Labeled Graphs". In SIGMOD/PODS'15: International Conference on Management of Data. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2764947.2764950.
Texto completo da fonteWu, Renzhi, Sanya Chaba, Saurabh Sawlani, Xu Chu e Saravanan Thirumuruganathan. "ZeroER: Entity Resolution using Zero Labeled Examples". In SIGMOD/PODS '20: International Conference on Management of Data. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3318464.3389743.
Texto completo da fonteKang, Daniel, Nikos Arechiga, Sudeep Pillai, Peter D. Bailis e Matei Zaharia. "Finding Label and Model Errors in Perception Data With Learned Observation Assertions". In SIGMOD/PODS '22: International Conference on Management of Data. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3514221.3517907.
Texto completo da fonteArora, Akhil, Mayank Sachan e Arnab Bhattacharya. "Mining statistically significant connected subgraphs in vertex labeled graphs". In SIGMOD/PODS'14: International Conference on Management of Data. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2588555.2588574.
Texto completo da fonteWadhwa, Sarisht, Anagh Prasad, Sayan Ranu, Amitabha Bagchi e Srikanta Bedathur. "Efficiently Answering Regular Simple Path Queries on Large Labeled Networks". In SIGMOD/PODS '19: International Conference on Management of Data. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3299869.3319882.
Texto completo da fonteMeng, Jinghan, e Yi-cheng Tu. "Flexible and Feasible Support Measures for Mining Frequent Patterns in Large Labeled Graphs". In SIGMOD/PODS'17: International Conference on Management of Data. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3035918.3035936.
Texto completo da fonte