Results 201 to 210 of about 2,648,329 (307)

Use of a failure probability constraint to suggest an initial dose in a phase I cancer clinical trial. [PDF]

J Food Drug Anal, 2014
Chang SC, Chang CJ, Lin YJ, Lian IB, Fann CSJ.   +4 more
europepmc   +1 more source

Electrochemical Pathways for Nitrate Conversion to Ammonia: From Environmental Challenges to Ammonia Economy

Advanced Functional Materials, EarlyView.
This perspective presents recent advances in electrocatalytic nitrate reduction, focusing on reaction mechanisms, catalyst design, and electrolyzer configurations. Key challenges in selectivity, stability, and practical wastewater treatment are highlighted, while future directions for advancing sustainable ammonia synthesis and nitrate remediation are ...
Xintong Li, Yunpeng Zuo, Xiaoran Zhang, Jieqiong Shan, Kenneth Mei Yee Leung, Bin Liu, Peter Strasser, Adrian Fisher, Zonglong Zhu, Xin Wang   +9 more
wiley   +1 more source

Younger age and prior graft failure are associated with increased risk of ACL reinjury: Graft survival and contralateral ACL outcomes at a median 10.6-year follow-up after primary hamstring autograft reconstruction. [PDF]

J Exp Orthop
Perico DA, Lievano JR, González S, Arango GC, Zayed G, Alviar KM.   +5 more
europepmc   +1 more source

Mixed‐Metal Promotion in a Manganese‐Molybdenum Oxynitride as Catalyst to Integrate C─C and C─N Coupling Reactions for the Direct Synthesis of Acetonitrile from Syngas and Ammonia

Advanced Materials, EarlyView.
Transition metal oxy/carbo‐nitrides show great promise as catalysts for sustainable processes. A Mn‐Mo mixed‐metal oxynitride attains remarkable performance for the direct synthesis of acetonitrile, an important commodity chemical, via sequential C─N and C─C coupling from syngas (C1) and ammonia (N1) feedstocks.
M. Elena Martínez‐Monje, Wilson Henao, Tania Rodenas, Patricia Concepción, Virginia Pérez Dieste, Alexander Missyul, Giovanni Agostini, Gonzalo Prieto   +7 more
wiley   +1 more source

The time-dependent reliability of CRTS III slab ballastless track structures based on direct probability integral method. [PDF]

Sci Rep
Wenchang Z, Xiao L, Junyan D, Huaxia Z, Qiufen T.   +4 more
europepmc   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Preoperative Systemic Pan-Immune-Inflammation Value Predicts Posthepatectomy Liver Failure After Laparoscopic Resection for Hepatocellular Carcinoma: A Retrospective Cohort Study. [PDF]

J Inflamm Res
Wu X, Xu S, Zhang T, Xing Y, Min X, Wu J, Mao Q.   +6 more
europepmc   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
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, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

A Bayesian analysis of finerenone in heart failure with mildly reduced and preserved ejection fraction: a pre-specified analysis of FINEARTS-HF. [PDF]

Eur Heart J Cardiovasc Pharmacother
Henderson AD, Docherty KF, Talebi A, Kondo T, Petrie MC, Claggett BL, Desai AS, Vaduganathan M, Atherton JJ, Bauersachs J, Schou M, Verma S, Lam CSP, Pitt B, Senni M, Shah SJ, Voors AA, Zannad F, Brinker M, Amarante F, Rohwedder K, Lay-Flurrie J, Solomon SD, McMurray JJV, Jhund PS.   +24 more
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