Results 231 to 240 of about 8,838,426 (323)

Personalized Fluid Management in Patients With Sepsis and Acute Kidney Injury: A Causal Machine Learning Approach. [PDF]

Crit Care Explor
Oh W, Takkavatakarn K, Al-Taie Z, Kittrell H, Shawwa K, Gomez H, Sawant AS, Tandon P, Kumar G, Sterling M, Hofer I, Chan L, Oropello J, Kohli-Seth R, Charney AW, Kraft M, Kovatch P, Suárez-Fariñas M, Kellum JA, Nadkarni GN, Sakhuja A.   +20 more
europepmc   +1 more source

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

Advanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

Causal Machine Learning Methods and Use of Cross-Fitting in Settings With High-Dimensional Confounding. [PDF]

Stat Med
Ellul S, Vansteelandt S, Carlin JB, Moreno-Betancur M.   +3 more
europepmc   +1 more source

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

Advanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair, Hrisheekesh Thachoth Chandran, Karl Leo, Hans Kleemann   +3 more
wiley   +1 more source

Estimating heterogeneous impacts Of subsidised health insurance: A causal machine learning approach. [PDF]

PLoS One
Shah V, Kreif N.
europepmc   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Estimating Heterogeneous Treatment Effects With Target Trial Emulation: A Checklist of Causal Machine Learning for Observational Data. [PDF]

Chest
Wang X, Zou Y, Wang Y, Zhang C.
europepmc   +1 more source

“Smelltronics”—From Gas to Smell Sensing

Advanced Materials, EarlyView.
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono, Tsunaki Takahashi, Jiangyang Liu, Haruka Honda, Zeng Jing, Wataru Tanaka, Takuro Hosomi, Takeshi Yanagida   +7 more
wiley   +1 more source

Recent Progress in the Phase‐Controlled Synthesis of Ruthenium Nanocrystals for Catalytic Applications

Advanced Materials, EarlyView.
Template effect and kinetic control enable crystal‐phase engineering of Ru nanocrystals, granting access to either metastable fcc‐Ru or stable hcp‐Ru with distinct surface structures, thermal stabilities, and catalytic behaviors. Moreover, the hcp‐Ru can further serve as an epitaxial template to direct Pd and Rh nanocrystals into the metastable hcp ...
Jianlong He, Zhiqi Wang, Jiaqi Guan, Younan Xia   +3 more
wiley   +1 more source

Toward precision stroke rehabilitation: an integrated causal machine learning and clinician feedback approach. [PDF]

JAMIA Open
Baird A, Xiao H, Xia Y, Sellers C, Metzger K, Patterson K, Nyankori L, Anderson R.   +7 more
europepmc   +1 more source