Results 151 to 160 of about 404,647 (233)
Does a Specialized Niche Market Vegetable Processor Enjoy Bargaining Power?
ABSTRACT Agribusiness companies may achieve competitive advantage through specialization within niche markets. One such niche is the fresh‐cut fruit and vegetable market, which has been steadily growing in Germany. This study examines whether the specialization of a German fresh‐cut producer grants it with market power within this niche market.
Nikolas Bublik +3 more
wiley +1 more source
Reducing Unnecessary Implantable Cardioverter-Defibrillator Therapy With ENHANCED Programming: Long-Term Outcomes of the ENHANCED-ICD Study. [PDF]
Chiu CSL +6 more
europepmc +1 more source
We investigated the impact of temporary stoma creation and closure on gut microbiota diversity in rectal cancer patients. 16S rRNA sequencing revealed that microbial diversity significantly decreased postoperatively in the stoma group but remained stable in non‐stoma patients.
Yusuke Suzuki +9 more
wiley +1 more source
Identification and characterization of signature genes related to fetoplacental vascular endothelial cell programming in gestational diabetes mellitus using bioinformatics analysis. [PDF]
Liu C +6 more
europepmc +1 more source
Abstract Olefin extractive separation from fluid catalytic cracking (FCC) naphtha with deep eutectic solvents (DESs) was systematically investigated in this work. In a first step, different DESs were screened for their separation performance of the binary mixture benzene/1‐hexene.
Gangqiang Yu +6 more
wiley +1 more source
An EZ Bayesian hierarchical drift diffusion model for response time and accuracy. [PDF]
Chávez De la Peña AF +1 more
europepmc +1 more source
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
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Joint Inversion of Radionuclide Production Rate Data and Thermoremanent Magnetic Records over the Holocene. [PDF]
Schanner MA, Nilsson A, Muscheler R.
europepmc +1 more source
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 +6 more
wiley +1 more source

