Results 171 to 180 of about 776,810 (287)

Cancer in Systemic Sclerosis: Clinical Associations and Prognostic Impact From the EUSTAR Registry

Arthritis &Rheumatology, EarlyView.
Objective Cancer represents a major cause of death in systemic sclerosis (SSc). Established risk factors are limited to specific subsets, particularly early diffuse anti‐RNA polymerase III (POLR3)–positive disease, needing further exploration. Methods We performed a nested case‐control study within the European Scleroderma Trials and Research group ...
Antonio Tonutti, Francesca Motta, Liala Moschetti, Cosimo Bruni, Carina Mihai, Claudia Iannone, Maria Rosa Pellico, Stefano Stano, Stefano Erba, Claudia Barison, Eleonora Pazzi, Andrea Benini, Beatrice Moccaldi, Kurszán Jász Dávid, Ágnes Ágoston‐Szabó, Beatrice Gabrielli, Francesca Nava, Dóra Tari, Francesca Romana Di Ciommo, Yuri Sasaki, Gonçalo Boleto, Radim Bečvář, Alejandro Brigante, Britta Maurer, Massimiliano Limonta, Rahma A. Elziaty, Fabiola Atzeni, Lilian Maria López Núñez, Roberta Foti, Francesco Benvenuti, Brigitte Granel, Elena Rezus, Leila Caillault, Sophie Blaise, Cristiana Sieiro Santos, Fabio Cacciapaglia, Roberto Giacomelli, Rossella De Angelis, Serena Guiducci, Duygu Temiz Karadag, Gabriella Szűcs, Luca Idolazzi, Gábor Kumánovics, Florenzo Iannone, Maurizio Cutolo, Gianluca Moroncini, Valeria Riccieri, Nicoletta Del Papa, Elisabetta Zanatta, Oliver Distler, Masataka Kuwana, Carlo Selmi, Maria De Santis   +52 more
wiley   +1 more source

Multi-Temporal Prediction of High-Catch Fishing Grounds for Chub Mackerel (<i>Scomber japonicus</i>) Based on Deep Forest and SHapley Additive exPlanations (SHAP) of Environmental Contributions. [PDF]

Biology (Basel)
Zhang L, Fan W, Tang F, Yang S, Shi Y, Zhang S.   +5 more
europepmc   +1 more source

Potential contribution of biomass gasification‐based technology in energy transition: a technical review coupled with bibliometric studies

Biofuels, Bioproducts and Biorefining, EarlyView.
Abstract Biomass gasification technology has been extensively researched around the world; however, there is a need to evaluate the current research landscape and evolutionary direction of research in the broader context of energy transition. A systematic bibliometric analysis of the Web of Science database was performed for articles that fall within ...
Olasunkanmi Opeoluwa Adeoye, Electo Eduardo Silva Lora, Rubenildo Vieira Andrade, Leonardo Peña Pupo, René Lesme Jaén, Osvaldo José Venturini   +5 more
wiley   +1 more source

An Artificial Intelligence-Based Detection of Comorbid Depression, Anxiety, and Substance Use Disorder in Korean Counseling Dialogues Using an Explainable Hierarchical Attention Network with Shapley Additive Explanations. [PDF]

Diagnostics (Basel)
Choi M, Jo J, Jeong J.
europepmc   +1 more source

Accelerating green heterocyclic synthesis: Convergence of AI, automation, and sustainable chemistry

Bulletin of the Korean Chemical Society, EarlyView.
Green heterocyclic synthesis and data‐driven tools such as AI, high‐throughput experimentation, continuous flow, and self‐driving laboratories have developed largely in parallel. This review connects them and asks how green metrics such as E‐factor and PMI might serve as explicit optimization targets rather than post‐hoc measures, toward sustainable ...
Noor Aisyah Ahmad Shah, Amirreza Mottafegh, Su‐Hyun Yoo, Jongwoon Kim, Minseon Byeon, Juhwan Noh, Yea‐Lee Lee, Jin Suk Myung, Gwang‐Noh Ahn   +8 more
wiley   +1 more source

Enhancing the interpretability of electricity consumption forecasting models for mining enterprises using SHapley Additive exPlanations

Записки Горного института
The objective of this study is to enhance user trust in electricity consumption forecasting systems for mining enterprises by applying explainable artificial intelligence methods that provide not only forecasts but also their justifications. The research
Pavel V. Matrenin, Alina I. Stepanova
doaj  

Investigating the association between the food inflammation scores of individuals and stroke in adults: an extreme gradient boosting machine learning model interpreted with shapley additive explanations. [PDF]

J Health Popul Nutr
Yan Z, Luo K, Yang Q, Liu X, Zhao H, Gao Y, Zhang Q, Mu J.   +7 more
europepmc   +1 more source

Bridging the translational gap in clinical nanomedicine: From rational design to clinical reality

BMEMat, EarlyView.
Nanotechnology offers a multi‐faceted approach to modern healthcare, encompassing high‐sensitivity diagnostic imaging, innovative vaccine delivery, and targeted therapeutics. This review explores how these nanomedicine applications address critical challenges in cancer recurrence and the treatment of neurologic and respiratory diseases to combat rising
Ahmed H. Ghonaim, Marwa Ahmed El‐Naka, Wedad M. Nageeb, Atta Ullah Khan, Noura M. Seleem, Aliaa Abdelghafar, Doaa Zamel, Yang Liu, Qigai He, Wentao Li   +9 more
wiley   +1 more source

Do Governance Structures Drive Green Building Adoption? A Machine Learning Approach With Random Forests

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines the determinants of firms' propensity to adopt green buildings in the Euro Stoxx 300 and the S&P 500 indices, during 2012–2023. Using random forest binary classifiers, we assess the relative importance of financial, sectoral, geographic, and climate governance predictors and uncover nonlinear relationships often overlooked ...
María del Carmen Valls Martínez, José Manuel Santos‐Jaén, María Estefanía Sánchez Pacheco, Fernando José Zambrano Farías   +3 more
wiley   +1 more source

Development of an explainable machine learning model for predicting poststroke anxiety: A multicenter study using Shapley Additive Explanations and nomogram visualization. [PDF]

Digit Health
Lyu M, Xie Y, Li M, Hölscher C, Shen X.
europepmc   +1 more source