Results 111 to 120 of about 175,776 (260)

Analyzing individual rent price ratios in eastern German agricultural land markets: A GAMLSS approach

Agribusiness, EarlyView.
Abstract This study explores the rent price ratio in agricultural land markets, crucial for evaluating market efficiency, policy needs, and farmer decision‐making. Traditionally, the analyses faced challenges due to the absence of concurrent sale and rent data for the same land, potentially leading to biased results.
Marius Michels, Cord‐Friedrich von Hobe, Miryam Sarah Merk, Thomas Kneib, Oliver Musshoff   +4 more
wiley   +1 more source

Advanced Experiment Design Strategies for Drug Development

Advanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang, Anthony Harker, Mohan Edirisinghe, Maryam Parhizkar   +3 more
wiley   +1 more source

Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real‐World Data

Advanced Intelligent Discovery, EarlyView.
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley   +1 more source

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

Advanced Intelligent Discovery, EarlyView.
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez, Cibrán López, Edgardo Saucedo, Teruyasu Mizoguchi, Claudio Cazorla   +4 more
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

Small vesicles, big potential: A review of innovative exosome delivery and molecular mechanisms in preclinical myocardial infarction models

Animal Models and Experimental Medicine, EarlyView.
This narrative review discusses animal models of exosome‐based myocardial infarction treatments. Emerging techniques aim to improve exosome stability, targeting, and bioavailability for MI treatment as drug delivery vehicles and regenerative mediators that promote myocardial regeneration. Abstract Exosomes have emerged as promising therapeutic carriers,
Chayanisa Phutiyothin, Kovit Pattanapanyasat, Sarawut Kumphune   +2 more
wiley   +1 more source

Ribozymes for RNA‐Catalyzed RNA Methylation and Labeling

Angewandte Chemie International Edition, EarlyView.
Ribozymes are powerful tools for site‐specific RNA modification. Their activities range from installing tags and fluorophores to generating natural RNA methylations, making them valuable tools to uncover the many functions that RNA plays in nature.
Carolin P. M. Scheitl, Claudia Höbartner   +1 more
wiley   +1 more source

Mapping the Reactivity of the C═C Bond of Cyclic Enol Ether Derivatives of Sugars: Nucleophilicity Parameters of Glycals

Angewandte Chemie International Edition, EarlyView.
Endo or Exo? The first quantitative kinetic mapping of the nucleophilic reactivity of endo‐ and exo‐glycal compounds highlighted that endo‐glycals are typically 102 times less reactive than their corresponding parent cyclic enol ethers while exo‐glycals are 103 more nucleophilic. This experimental and computational structure–reactivity study highlights
Sophie Rodrigues, Saloua Chelli, Jenny Ha, Lucie Pedussaut, Sami Lakhdar, Raphaël Robiette, Stéphane P. Vincent, Guillaume Berionni   +7 more
wiley   +1 more source

Morphological variation in atlas and axis of Neotropical spiny rats (Rodentia, Echimyidae)

The Anatomical Record, EarlyView.
Abstract The unique morphologies of the first two cervical vertebrae, the atlas and axis, represent a significant innovation in mammalian evolution. These structures support the weight of the head and enable intricate movements of the head and neck.
Thomas Furtado da Silva Netto, João Felipe Leal Kaiuca, Adriana Itatí Olivares, William Corrêa Tavares   +3 more
wiley   +1 more source