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Hawker, Sara
core
Read [PDF] Books A Visual Dictionary of Architecture [Full]
Read Or Download A Visual Dictionary of Architecture Full Books By by {"isAjaxComplete_B001H6NK1W":"0","isAjaxInProgress_B001H6NK1W":"0"} Francis D. K. Ching (Author) › Visit Amazon's Francis D. K.
Read [PDF] Books A Visual Dictionary of Architecture [Full]
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ABSTRACT Neisseria gonorrhoeae poses an urgent public health challenge due to rapidly increasing antimicrobial resistance and the absence of an effective vaccine. Targeting conserved bacterial pathways involved in essential physiological processes may provide new opportunities for vaccine antigen discovery.
Sinethemba H. Yakobi +1 more
wiley +1 more source
K-plane clustering algorithm for analysis dictionary learning
Analysis dictionary learning (ADL) aims to adapt dictionar-ies from training data based on an analysis sparse represen-tation model. In a recent work, we have shown that, to ob-tain the analysis dictionary, one could optimise an objective function ...
Wang, H +7 more
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Aims This real‐world pharmacovigilance study utilizes FDA Adverse Event Reporting System (FAERS) data (2004–2024) to characterize age‐related disparities in hydroxychloroquine (HCQ)‐associated adverse events (AEs), addressing gaps in age‐stratified risk assessment. Methods Disproportionality analysis (reporting odds ratios, RORs) and parametric Weibull
Guanghan Sun +4 more
wiley +1 more source
Magnetic Resonance Super-resolution Imaging Measurement with Dictionary-optimized Sparse Learning
Magnetic Resonance Super-resolution Imaging Measurement (MRIM) is an effective way of measuring materials. MRIM has wide applications in physics, chemistry, biology, geology, medical and material science, especially in medical diagnosis.
Li Jun-Bao +3 more
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English pronouncing dictionary
The pronuciation recorded in this dictionary refers to usage current among speakers of the middle generation.xxxii, 560 hlm, 20,3 cm x 13,5 ...
daniel jones
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Applying machine learning to pharmacovigilance data: A proof‐of‐concept study
Aim Machine learning (ML) applications in pharmacovigilance remain limited and underexplored. Using data from the French National pharmacovigilance database (FNPV), this proof‐of‐concept study aimed to assess the feasibility of using a ML algorithm—eXtreme Gradient Boosting (XGBoost)—combined with SHapley Additive exPlanations (SHAP) analysis, to ...
Romain Barus +6 more
wiley +1 more source
Automated Data‐Efficient Symbolic Regression for Interpretable Bioprocess Model Development
ABSTRACT Bioprocessing is central to the sustainable manufacture of pharmaceuticals, food products, and renewable chemicals. Consequently, developing high‐fidelity kinetic models to facilitate accurate process prediction, optimisation, and scale‐up is a top research priority.
Luca Riezzo +3 more
wiley +1 more source
ABSTRACT This study investigates how directors with environmental protection (EP) backgrounds influence corporate biodiversity concern (BIO) among Chinese A‐share listed firms from 2008 to 2023. Drawing on Upper Echelons Theory, we argue that directors' environmental expertise shapes firms' biodiversity strategies.
Chengming Huang +2 more
wiley +1 more source

