Results 161 to 170 of about 296,811 (276)

Predicting the efficacy of recombinant human thrombopoietin in treating cancer therapy-related thrombocytopenia: based on stacking ensemble methods. [PDF]

Front Oncol
Hou K, Huangfu R, Guo Z, Gao Y, Lu H, Li Z, Wang Z.   +6 more
europepmc   +1 more source

Does Managerial Ability Improve Environmental Performance and Overall ESG Ratings? The Impact of the European Sustainability Reporting Mandate

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines the role of managerial ability in driving environmental performance and overall environmental, social, and governance (ESG) ratings in the context of the European Union sustainability reporting regulations. Using a sample of 7242 firm‐year observations over the period 2015–2023, our results indicate a structural change in ...
Mihaela Ionașcu, Ion Ionașcu, Elena Turuianu   +2 more
wiley   +1 more source

Longitudinal Sparse Single-Omics Factor Analysis for High-Dimensional Blood Biomarkers in Alzheimer's Disease. [PDF]

Stat Med
Zou H, Kaddurah-Daouk R, Luo S, Alzheimer's Disease Neuroimaging Initiative.   +3 more
europepmc   +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

Machine learning-based temperature prediction across diverse ecosystems for the Boro Season in Bangladesh. [PDF]

Sci Rep
Rahman NMF, Haque N, Asadullah M, Hossain ABMZ, Hossain MS, Uddin MJ, Hassan SMQ, Baten MA.   +7 more
europepmc   +1 more source

Innovation Pathways to Carbon Efficiency: Disentangling the Effects of AI, R&D, and Clean Energy Blessings on U.S. Environmental Sustainability

Business Strategy and the Environment, EarlyView.
ABSTRACT The United States (U.S.) faces challenges in achieving its ambitious net‐zero carbon emissions target by 2050, with current emissions having fallen by less than 1% in 2024. Despite an investment of $500 billion in low‐carbon resources while holding the second‐largest green technology patent portfolio globally, it is further imperative to ...
Md Zubair Ahmad, Jewel Rana, Mohammad Fakhrul Islam, Md Nazmul Islam Jihad, Md. Rashed, Md. Kamal Uddin   +5 more
wiley   +1 more source

Explainable machine learning unveils the key role of cooperation ability in school bullying and its gender-differentiated impact on cooperative atmosphere. [PDF]

Front Psychiatry
Lv Y, Zhou Z, Li J, Fang F, Wang H.
europepmc   +1 more source

Multivariate phase‐dependent optimization of bioprocesses boosts performance and quality—Why timing (of exposure) matters

Biotechnology Progress, EarlyView.
Abstract Applying a single parameter set to describe complex mammalian kinetics often is too simplistic, as it fails to capture sensitive cell‐to‐environment interactions that may be exploited to optimize production performance. To resolve this time dependency, intra‐experimental parameter shifts as part of design of dynamic experiments (DoDE) can be ...
Samuel Kienzle, Lisa Junghans, Anja Wittmann, Stefan Wieschalka, Ralf Takors, Nicole Erika Radde, Beate Presser, Verena Nold   +7 more
wiley   +1 more source

An optimization-driven hierarchical deep learning approach using the Gray Langurs algorithm for data-driven seismic activity prediction. [PDF]

Sci Rep
Shabrawy M, El-Kenawy EM, Abdel-Hamid NB, Abdelsalam MM.   +3 more
europepmc   +1 more source

Machine learning‐assisted clone selection for intensified cell culture processes

Biotechnology Progress, EarlyView.
Abstract Intensified fed‐batch processes are becoming increasingly prevalent among biomanufacturers due to their superior space–time yields relative to traditional, non‐intensified fed‐batch processes. However, the shift towards intensified manufacturing has unexpectedly made optimal clone selection more challenging.
Nicolas Wolnick, John Schmitt, Christian Siltanen, Julia Armstrong, Shannon Hendrick, Ariel Atchley, Brandon Downey   +6 more
wiley   +1 more source