Results 191 to 200 of about 1,553,128 (257)

Consumer Demand and Market Response to Added Sugar Labeling: Evidence From the Updated Nutrition Facts Panel

Agribusiness, EarlyView.
ABSTRACT This paper examines how mandatory disclosure of added sugar content on the updated U.S. Nutrition Facts Panel (NFP) affects consumer demand and market outcomes. Using NielsenIQ Retail Scanner Data (2015–2020) and a random coefficient discrete choice model, we estimate how added sugar labeling influences purchasing behavior in yogurt and cookie
Yuxiang Zhang, Yizao Liu
wiley   +1 more source

Prescribing Pattern of Antiseizure Drugs in Pediatric Epilepsy Patients at a Tertiary Care Hospital in New Delhi: A Cross-Sectional Study. [PDF]

Cureus
Chamaria D, Garg K, Sehgal R, Verma H, Gupta LK.   +4 more
europepmc   +1 more source

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

Pharmaceutical quality and cost-effectiveness of branded versus generic medicines across 22 drug types and 8 therapeutic categories: a citizen-funded comparative study from regulated retail outlets in Kerala, India. [PDF]

Front Pharmacol
Philips CA, Theruvath AH, Sreemohan A, Baby A, Jose S, Philips M, Philip T, Ramesh C.   +7 more
europepmc   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

Advanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer, Muhammad Nabeel Asim, Shan Munir, Andreas Dengel   +3 more
wiley   +1 more source

The Equivalents Are Coming! Developing a Shared Nomenclature for Radiopharmaceutical Therapy of Neuroendocrine Tumors, Prostate Cancer, and Beyond. [PDF]

J Nucl Med
Chauhan A, Hendifar AE, El-Haddad G, Soares HP, Herrmann K.   +4 more
europepmc   +1 more source

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

Advanced Intelligent Discovery, EarlyView.
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows, G. Zhang, S. Anand, Z. Chen, J. Lin, A. Desai, S. Martiniani, F. Caravelli   +7 more
wiley   +1 more source

Current Scientific Considerations to Verify Physiologically‐Based Pharmacokinetic Models and Their Implications for Locally Acting Products

CPT: Pharmacometrics & Systems Pharmacology, 2019
Liang Zhao, Paul Seo, Robert Lionberger
doaj   +1 more source

How Low Could Semaglutide Prices Fall? An Analysis of Production Cost and Implications for Global Access. [PDF]

Obesity (Silver Spring)
Levi J, Cross S, Ramesh N, Venter F, Hill A.   +4 more
europepmc   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source