Results 141 to 150 of about 199,658 (311)

Supply chain risk in grain trading: Inventories as real options for shipping grain

Agribusiness, EarlyView.
Abstract Integrating trading and logistics is an important challenge in commodity trading. Trading and logistics are strategic decisions and are integral to most commodities including grain shipping by rail, in addition to other modes (barges, ocean shipping). There are substantial risks, such as the ordering and placement of rail cars.
William W. Wilson, Jesse Klebe
wiley   +1 more source

Cost-effectiveness of deucravacitinib versus apremilast of moderate-to-severe plaque psoriasis in China. [PDF]

BMC Health Serv Res
Tang B, Liu R, Hu S.
europepmc   +1 more source

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source

Cost-Effectiveness Analysis of Crizanlizumab in Sickle Cell Disease in Iran. [PDF]

Iran J Med Sci
Nosrati M, Izadidehkordi S, Nikfar S, Heydari FS.   +3 more
europepmc   +1 more source

Incremental Fuzzy Decision Tree Based on Cumulative Mutual Information

Jan Rabčan, Elena Zaitseva, Vitaly Levashenko, Miroslav Kvaššay   +3 more
openalex   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Cost-effectiveness of olorofim in the treatment of invasive aspergillosis in patients with limited suitable alternative treatment options: a US payer perspective. [PDF]

Antimicrob Agents Chemother
Walsh TJ, Coleman CI, Blissett R, Prawitz T, Bonetti G, Aguiar M, Bresnik M, Lovelace B.   +7 more
europepmc   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

The Economic Impact of Premarital Screening (PMS) of Sickle Cell Anemia on the Saudi Health System: A Cost Analysis Study. [PDF]

Healthcare (Basel)
Alotaibi AF, Almalki RA, Alsheikh MY, Omran GO, Althobaiti HA, AlQurashi WS.   +5 more
europepmc   +1 more source

Bayesian Exploration of Metal‐Organic Framework‐Derived Nanocomposites for High‐Performance Supercapacitors

Advanced Intelligent Discovery, EarlyView.
An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc, Pritam Banerjee, Felipe Jacques Lima Duarte, Joerg R. Jinschek, Premkumar Murugesan, Babak Rezaei, Stephan Sylvest Keller, Roland A. Fischer, Mian Zahid Hussain   +8 more
wiley   +1 more source