Results 211 to 220 of about 113,999 (310)

When the River Runs Low: Heterogeneous Impacts of Transportation Disruptions on Local Grain Basis

Agribusiness, EarlyView.
ABSTRACT A substantial share of U.S. soybean and corn exports from the Midwest moves by barge along the Mississippi River system to export terminals in the Louisiana Gulf. Transportation costs between Midwestern grain elevators and export terminals create a wedge between prices at these locations, and shocks to these costs are partially passed on to ...
Yuan Zhang, Andrew E. Anderson, Nicholas J. Pates, Eunchun Park   +3 more
wiley   +1 more source

Comparing injury severity scores from trauma registries with those mapped from injury diagnosis codes in injured adolescents. [PDF]

Inj Prev
Zonfrillo MR, Baird J, Spirito A, Scott K, Lee LK, Kiragu AW, Christison-Lagay E, Bromberg JR, Ruest SM, Pruitt CW, Lawson KA, Nasr I, Aidlen J, Maxson RT, Becker SJ, Mello MJ.   +15 more
europepmc   +1 more source

Translational Gap in Biomarker Discovery: Tumor Surface Markers Rarely Mirror Circulating Levels

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Tumor‐associated cell surface proteins are frequently proposed as circulating biomarkers for colorectal cancer (CRC) based on their high tumor expression. However, many candidates identified through tissue‐based analyses fail to translate into clinically useful biomarkers.
Junko Mukohyama, Shohei F. Fujita, Xinyi Fu, Shigenori Suzuki, Hiroki Hamamoto, Dai Shida, Kimihiro Yamashita, Kohei Taniguchi, Sang‐Woong Lee, Akihide Yoshimi   +9 more
wiley   +1 more source

Bacteremia and Liver Failure Due to Non-K1 Escherichia coli With iss Gene in Two Full-Term Infants. [PDF]

Am J Case Rep
Shikaze Y, Mizuno S, Bou R, Kurosawa H, Imuta N, Nishi J, Kasai M.   +6 more
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Infection incidence, timing, and predictors in newly diagnosed multiple myeloma: a real-world retrospective cohort study. [PDF]

Front Med (Lausanne)
Candan O, Naghizada N, Tuncel T, Palaz BM, Tunc MA, Demirtas D, Yanik AM, Bayar A, Salim S, Temiz F, Guren CU, Arıkan F, Menguc MU, Yilmaz AF, Atagunduz I, Odabası Z, Toptas T, Tuglular AT.   +17 more
europepmc   +1 more source

Computer Vision Pipeline for Image Analysis for Freeze‐Fracture Electron Microscopy: Rosette Cellulose Synthase Complexes Case

Advanced Intelligent Discovery, EarlyView.
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri, Leala Carbonneau, Eric M. Roberts, Alison W. Roberts, Candace H. Haigler, Alexey V. Gulyuk, Yaroslava G. Yingling   +6 more
wiley   +1 more source

Harnessing Phase Dynamics Across Diverse Frequencies with Multifrequency Oscillatory Neural Networks

Advanced Intelligent Discovery, EarlyView.
Oscillatory Neural Networks (ONNs) are an emerging computing paradigm that encodes information in the phases of coupled oscillators. Traditionally, ONNs have been investigated using homogeneous frequency oscillators. However, physical hardware implementations are inherently subject to frequency mismatches, device variability, and nonuniformities.
Nil Dinç, Filip Sabo, Aida Todri‐Sanial   +2 more
wiley   +1 more source

Mass spectrometry-based proteomics and metabolomics in multiple myeloma: a systematic review of prognostic biomarkers and minimal residual disease monitoring. [PDF]

Front Med (Lausanne)
Moursy N, Siraj H, Nasir Z, Tanweer A, Sajid MR.   +4 more
europepmc   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source