Academic literature on the topic 'Labels de poids'
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Journal articles on the topic "Labels de poids":
Chauvin, Pierre-Antoine. "L’administration inégalitaire de l’attente." Actes de la recherche en sciences sociales N° 250, no. 5 (January 9, 2024): 80–97. http://dx.doi.org/10.3917/arss.250.0080.
Xie, Xuejing, Yawen Liu, Yongyang Xu, Zhanjun He, Xueye Chen, Xiaoyun Zheng, and Zhong Xie. "Building Function Recognition Using the Semi-Supervised Classification." Applied Sciences 12, no. 19 (October 1, 2022): 9900. http://dx.doi.org/10.3390/app12199900.
Wang, Jionghua, Haowen Luo, Wenyu Li, and Bo Huang. "Building Function Mapping Using Multisource Geospatial Big Data: A Case Study in Shenzhen, China." Remote Sensing 13, no. 23 (November 23, 2021): 4751. http://dx.doi.org/10.3390/rs13234751.
BENABDELJELIL, K., and P. MÉRAT. "Test de types génétiques pour une production avicole locale au Maroc." INRAE Productions Animales 5, no. 3 (July 29, 1992): 173–78. http://dx.doi.org/10.20870/productions-animales.1992.5.3.4231.
Winarti, Sri, and Yuni Ningsih. "Pelatihan Pengemasan Dan Pelabelan Bandeng Sapit Di UD. Barokah Gunung Anyar Tambak." JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) 4, no. 1 (April 7, 2020): 1. http://dx.doi.org/10.36339/je.v4i1.265.
Xie, Youping, Haibo Zeng, Kaijun Yang, Qiming Yuan, and Chao Yang. "Water-Body Detection in Sentinel-1 SAR Images with DK-CO Network." Electronics 12, no. 14 (July 21, 2023): 3163. http://dx.doi.org/10.3390/electronics12143163.
Bazanella, Pricila Carla, and Márcia Keller Alves. "Rotulagem de Ovos e Mel: Avaliação de Conformidades à Legislação Vigente." Ensaios e Ciência: Ciências Biológicas, Agrárias e da Saúde 23, no. 2 (December 9, 2019): 94. http://dx.doi.org/10.17921/1415-6938.2019v23n2p94-97.
Zhu, Hui, Kaiqi Zhang, Changjun Wang, Lujin Jia, and 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 (February 18, 2023): 1–17. http://dx.doi.org/10.1155/2023/6144048.
Zou, He, and Zhu. "An Automatic Annotation Method for Discovering Semantic Information of Geographical Locations from Location-Based Social Networks." ISPRS International Journal of Geo-Information 8, no. 11 (October 29, 2019): 487. http://dx.doi.org/10.3390/ijgi8110487.
RICARD, F. H., and M. J. PETITJEAN. "Un exemple de conservation du patrimoine génétique chez la poule." INRAE Productions Animales 1, no. 5 (December 12, 1988): 345–54. http://dx.doi.org/10.20870/productions-animales.1988.1.5.4470.
Dissertations / Theses on the topic "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.
Body 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.
Accurate 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
Book chapters on the topic "Labels de poids":
Wang, Yue, Meng Chen, Xiaohui Yu, and 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.
Lagos, Nikolaos, Salah Aït-Mokhtar, Ioan Calapodescu, and 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.
Pietrobom, Angela Reolon, and 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.
Conference papers on the topic "Labels de poids":
Wu, Yifan, Steven Drucker, Matthai Philipose, and 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.
Yang, Ke, Julia Stoyanovich, Abolfazl Asudeh, Bill Howe, HV Jagadish, and 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.
Valstar, Lucien D. J., George H. L. Fletcher, and 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.
Ye, Chang, Yuchen Li, Bingsheng He, Zhao Li, and 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.
Filippidou, Ioanna, and 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.
Wu, Renzhi, Sanya Chaba, Saurabh Sawlani, Xu Chu, and 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.
Kang, Daniel, Nikos Arechiga, Sudeep Pillai, Peter D. Bailis, and 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.
Arora, Akhil, Mayank Sachan, and 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.
Wadhwa, Sarisht, Anagh Prasad, Sayan Ranu, Amitabha Bagchi, and 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.
Meng, Jinghan, and 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.