Results 141 to 150 of about 185,916 (314)
Statistical modeling is a powerful tool for developing and testing theories by way of causal explanation, prediction, and description. In many disciplines there is near-exclusive use of statistical modeling for causal explanation and the assumption that models with high explanatory power are inherently of high predictive power.
openaire +4 more sources
Using pixel‐aware digital light processing, the authors created high‐resolution, dissolvable microneedles from a PEGDA/VP matrix. These microneedles encapsulate curcumin and 5‐fluorouracil and dissolve in the skin, co‐delivering drugs directly to tumours.
Rutuja N. Meshram, Dimitrios A. Lamprou
wiley +1 more source
Can output explain the predictability and volatility of stock returns?. [PDF]
This paper examines whether a general equilibrium asset pricing model can explain two important empirical regularities of asset returns, extensively documented in the literature: (i) returns can be predicted by a set of macro variables, and (ii) returns ...
Peña Sánchez de Rivera, Juan Ignacio +2 more
core
Report on the 1st SPARC Stratospheric Network for the Assessment of Predictability (SNAP). April 24-26 April 2013, Reading, UK [PDF]
Stratospheric Network for the Assessment of Predictability (SNAP), 24-26 April 2013, Reading, UKThe first SPARC Stratospheric Network for the Assessment of Predictability (SPARC-SNAP) workshop was organized in the Department of Meteorology, University of
Charron, Martin +9 more
core
Making the Case for Organ‐on‐Chip Platforms in Long‐Acting Therapeutics Development
LATs release drug from a tissue‐resident depot over weeks to months, improving adherence, but their development is hampered by preclinical models that cannot reproduce the coupled tissue processes, sustained release, local microenvironment change, interstitial transport, immune and foreign‐body responses, and clearance that govern depot performance in ...
Charlie Gowans +7 more
wiley +1 more source
Predictability in international asset returns : a re-examination [PDF]
This paper argues that inferring long-horizon asset-return predictability from the properties of vector autoregressive (VAR) models on relatively short spans of data is potentially unreliable.
Neely, Christopher J., Weller, Paul A.
core
Magnetically responsive nanoparticles enable remote control over biomaterials, cells, and engineered tissues. This review summarizes material design, biological safety, fabrication and actuation strategies, computational validation, and translational pathways that support the development of magnetic tissue‐engineering platforms and future magnetically ...
Konstantinos Ioannidis +8 more
wiley +1 more source
Background: A common and persistent inflammatory condition impacting the supportive structures of teeth, periodontal disease presents notable challenges in dental healthcare. It leads to various clinical issues, including the loss of clinical attachment,
Amit Rajabhau Pawar +3 more
doaj +1 more source
Azobenzene photoswitches translate molecular‐scale E/Z photoisomerization into macroscopic material responses and device‐level photonic functions. This Review highlights how azobenzene research has evolved from molecular photochemistry to photoalignment, mass migration, photomechanics, and heat release, ultimately enabling holography, reconfigurable ...
Heeju Son +20 more
wiley +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source

