Creating National Weights for a Patient-level Longitudinal Database by Onur Baser, Li Wang, Jon Maguire

“…As an outcomes measure, the predicted annual number of patients with prescription claims from private insurance data was 6 963 034. …”
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Health-related quality of life in hemato-oncology patients: role of informativeness and doctor-patient communication by Stella Sremić, Lovorka Brajković, Vanja Kopilaš

“… # Objective This study aimed to determine whether certain facets of health-related quality of life of hemato-oncology patients in Croatia could be predicted based on patients' sociodemographic data, the disease's determinants, the patients' information about their disease and the quality of doctor-patient communication…”
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Ecological niche modelling using MaxEnt for riparian species in a Mediterranean context by Jean Stephan, Melissa Korban

“…Three models were designed with different sets of predictors with cropped and non-cropped backgrounds around the riparian zone.The models generated different predicted distribution maps by species and compared them with the presence points of the studied species. …”
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Identification and validation of TSPAN13 as a novel temozolomide resistance-related gene prognostic biomarker in glioblastoma. by Haofei Wang, Zhen Liu, Zesheng Peng, Peng Lv, Peng Fu, Xiaobing Jiang

“…The prognostic risk score model, based on the 12 TMZR-RDEGs, demonstrated high efficacy in predicting GBM patient outcomes and emerged as an independent predictive factor. …”
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Investigation of catechin’s anti-inflammatory activity: A bioinformatics and molecular docking study by Nisa Yulianti Suprahman, Bulan Rosita Sari, Riri Fauziyya, Fatimah

“…Conclusion: IL-2 is predicted to be the primary target for catechin’s anti-inflammatory activity. …”
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Concept of agroedutourism based on smart farming in integrated farming systems by Sumiasih Inanpi Hidayati, Puspitawati Mutiara Dewi, Yadarabullah Yadarabullah

“…This is achieved by optimizing the use of water, fertilizers in cultivation activities, feed in livestock/fisheries activities, and being able to predict the real-time conditions of livestock/fisheries. …”
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The Use of Neural Networks in the Diagnosis of Heart Failure Via the Analysis of Medical Data by Valentino Blanco, Aitana Iglesias

“…These models have been applied to forecast cardiac disease, and their predictive performance has been evaluated and compared. …”
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Simulating the air quality impact of prescribed fires using graph neural network-based PM2.5 forecasts by Kyleen Liao, Jatan Buch, Kara D. Lamb, Pierre Gentine

“…In this paper, we introduce a spatio-temporal graph neural network (GNN)-based forecasting model for hourly PM2.5 predictions across California. Utilizing a two-step approach, we use our forecasting model to predict the net and ambient PM2.5 concentrations, which are used to estimate wildfire contributions. …”
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Hormonal Contraceptive Use and Affective Disorders: An Updated Review by Mengelkoch S, Afshar K, Slavich GM

“…Key risk factors that predict depression following hormonal contraceptive use include age/age at onset of contraceptive use and mental health history/susceptibility. …”
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Financial inclusion: Is it a precursor to agricultural commercialization amongst smallholder farmers in Uganda? A comparative analysis between Lango and Buganda sub-regions by Eton, Marus, Fabian, Mwosi, Mary, Ejang, Sammy, Godfrey Poro

“…Regression analysis was specifically used to predict the level of change in agricultural commercialization due to changes in financial inclusion. …”
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ORCHAMP: an observation network for monitoring biodiversity and ecosystem functioning across space and time in mountainous regions by Thuiller, Wilfried, Saillard, Amélie, Abdulhak, Sylvain, Augé, Vincent,  Birck, Carole, Bonet, Richard, Choler, Philippe, Delestrade, Anne,  Kunstler, Georges, Leccia, Marie-France, Lienard, Bertrand, Poulenard, Jérome, Valay, Jean-Gabriel, Bayle, Arthur, Bonfanti, Nicolas, Brousset, Lenka,  Bizard, Léa,  Calderón-Sanou, Irene, Dentant, Cédric, Desjonquères, Camille, Gielly, Ludovic, Guéguen, Maya, Guiter, Frédéric, Hedde, Mickael,  Hustache, Eric, Kedhim, Norine, Lapenu, Pierre, Le Guillarme, Nicolas,  Marchal, Lise, Mahieu, Chloé, Martin, Gabrielle, Martinez-Almoyna, Camille,  Miele, Vincent, Murienne, Jérôme, Paillet, Yoan, Rome, Maxime,  Renaud, Julien, The Orchamp Consortium

“…Leveraging the natural elevational gradients of mountain environments, the ORCHAMP program was established in 2016 as a comprehensive initiative to monitor, understand, and predict the repercussions of environmental changes on biodiversity and associated ecosystem functions in the French Alps and Pyrenees.Beyond its monitoring role, ORCHAMP has catalyzed the development of tools for data integration, statistical analyses, visualization, and AI-based automated data processing and predictions. …”
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Enough Sulfur and Iron for Potential Life Make Enceladus’s Ocean Fully Habitable by Weiming Xu, Can Liu, Ao Zhang, Maggie Lau, H. James Cleaves, Fang Huang, Christopher R. Glein, Jihua Hao

“…Dissolved sulfur, mainly present as HS ^− , is predicted to have a concentration of 10 ^−6 to 10 ^−4 mole (kg H _2 O) ^−1 , and pH has only a minor effect on S solubility. …”
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Stable coding of aversive associations in medial prefrontal populations by Herry, Cyril, Jercog, Daniel

“…Our data indicated that the presence of threat-predicting cues induces a stable coding dynamics of internally driven representations in the dorsal mPFC, necessary to drive learned defensive behaviours. …”
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Mechanical behaviour analysis of cemented tailings rock backfill materials: An insight from mesoscale modelling coupled with damage plasticity model by Chaoyi Yang, Hang Lin, Rugao Gao, Zhengrong Li, Dengjun Gan, Mingwu Liu, Qifan Ren

“…Lastly, a formula correlating the attributes of meso-components was proposed to predict the elasticity of CTRB.…”
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Asymmetric representation of symmetric semantic information in the human brain by Jiaxin Wang, Kiichi Kawahata, Antoine Blanc, Naoya Maeda, Shinji Nishimoto, Satoshi Nishida

“…In this modeling, response in each voxel was predicted from semantic labels designated for each movie scene. …”
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Ultrasound and Carcass Merit of Youth Market Hogs by Chad Carr, Dwain Johnson, Mark Shuffitt

“…AN252, a 5-page illustrated fact sheet by Chad Carr, Dwain Johnson, and Mark Shuffitt, describes the process whereby ultrasound evaluation of the live animal can be used to predict fat thickness and loineye area to determine the carcass merit of youth market hogs. …”
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The DRESDYN precession experiment by Stefani, Frank, Anders, Sten, Eckert, Sven, Freyer, Nico, Gerbeth, Gunter, Giesecke, André, Gundrum, Thomas, Kaever, Peter, Kumar, Vivaswat, Pizzi, Federico, Räbiger, Dirk, Šimkanin, Ján, Steglich, Christian, Vogt, Tobias, Wagner, Nicole, Wedel, Gerald

“…After discussing the scientific background and some results of water pre-experiments and numerical predictions, we focus on the numerous structural and design problems of the machine. …”
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Ultrasound and Carcass Merit of Youth Market Hogs by Chad Carr, Dwain Johnson, Mark Shuffitt

“…AN252, a 5-page illustrated fact sheet by Chad Carr, Dwain Johnson, and Mark Shuffitt, describes the process whereby ultrasound evaluation of the live animal can be used to predict fat thickness and loineye area to determine the carcass merit of youth market hogs. …”
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Testing quantum gravity with dilute dipolar Bose gases by Asma Tahar Taiba, Abdelâali Boudjemâa

“…Improved upper bounds on the generalized uncertainty principle parameters are found. We compare our predictions with previous experimental and theoretical results.…”
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Verbal Encoding Strategies in Visuo-Spatial Working Memory by Joana Pereira Seabra, Vivien Chopurian, Alessandra S. Souza, Thomas B. Christophel

“…‘slightly’, ‘near’) predicted class 2 cardinal bias (i.e. recall biases away from the cardinal planes). …”
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