Results 151 to 160 of about 66,920 (303)

Toxicological Evaluation of the Undesirable Components in Processed Infant Foods Using Artificial Intelligence

Future Postharvest and Food, EarlyView.
The detection of toxins in baby food using artificial intelligence. ABSTRACT Infant foods and baby formulas are becoming increasingly popular across the globe owing to their ease of consumption and nutritional value specific to infants. Impurities may find their way into the food chain at any point from the acquisition of raw materials to final ...
Poornima Singh, Anurag Singh, Ashutosh Upadhyay, Navneet Kumar   +3 more
wiley   +1 more source

Non-Contact Characterization of TPA-like Texture Properties of Gel-Based Soft Foods Using a Controlled Airflow-Laser System. [PDF]

Foods
Yu H, Yu S, He M, Tang X.
europepmc   +1 more source

The Global Patent Landscape of Mushroom‐Derived Functional Foods: Current Status, Future Perspectives, and Artificial Intelligence–Driven Exploration

Food Safety and Health, EarlyView.
The global patent landscape of mushroom‐derived functional food was widely analyzed, and AI‐integrated approaches realizing cost‐effective and reliable exploration of functional foods derived from mushrooms were explored. ABSTRACT Global health concerns and the increasing demand for nourishment have collectively driven the rising demand for functional ...
Xihong Zhao, Linhuizi Xiang, Dongmei Liu, Shoucheng Qin, Yue Chen, Xueyan Sun   +5 more
wiley   +1 more source

Charge transport manipulation of lead‐free perovskite A3Sb2X9 single crystal for stable and sensitive x‐ray detection

InfoMat, EarlyView.
Low‐dimensional perovskites can effectively improve device stability and reduce leakage current, showing broad application prospects in the field of high‐energy radiation detection. In this work, high‐quality and large‐size lead‐free A3Sb2X9 single crystals were grown via a solution method, and the modulation mechanism of charge transport was ...
Jiacheng Pi, Lei Zhao, Ruixin Shi, Binxia Jia, Depeng Chu, Ziyang Feng, Yaohui Li, Mingyue Wei, Jiangshan Feng, Yunxia Zhang, Shengzhong (Frank) Liu, Yucheng Liu   +11 more
wiley   +1 more source

A Deep Learning-Based Method for Stress Measurement Using Longitudinal Critically Refracted Waves. [PDF]

Sensors (Basel)
Gan Y, Ma J, Zhang B, Zheng Y, Wang X, Zhu Y, Wang Y, Ji D.   +7 more
europepmc   +1 more source

Review of nondestructive testing techniques for detecting lack of penetration in aluminum fusion welds [PDF]

Nondestructive testing for detecting lack of penetration in aluminum fusion ...
Gibson, J. A.
core   +1 more source

Towards Water, Food and Energy Security: The Global Challenges and Possible Solutions for a Holistic Vision of Sustainability

Irrigation and Drainage, EarlyView.
ABSTRACT This invited paper gives an overview of the challenges the world is facing and offers a possible solution for water and food security within the holistic integrated concept of the water–energy–food (WEF) nexus. The paper summarizes the experience the author gained through working on various research projects at national and international ...
Ragab Ragab
wiley   +1 more source

Nondestructive, High-Resolution T Cell Characterization and Subtyping via Deep-UV Microscopy. [PDF]

BME Front
Gorti V, Serafini CE, Silva Trenkle AD, McCubbins K, LeCompte I, Kwong GA, Robles FE.   +6 more
europepmc   +1 more source

Ultrasonic stress wave characterization of composite materials [PDF]

The work reported covers three simultaneous projects. The first project was concerned with: (1) establishing the sensitivity of the acousto-ultrasonic method for evaluating subtle forms of damage development in cyclically loaded composite materials, (2 ...
Duke, J. C., Jr., Henneke, E. G., II, Stinchcomb, W. W.   +2 more
core   +1 more source

A Nonlinear Quantitative Model for Measuring Concentration Ratios From Raman Intensities

Journal of Raman Spectroscopy, EarlyView.
Estimating concentration from Raman intensity ratios is complicated by cross‐contributions from overlapping peaks, causing measured ratios to deviate from the linear behavior assumed in conventional quantitative models. This nonlinear method fully accounts for cross‐contributions, allowing estimation of concentration over several orders of magnitude ...
Joseph Razzell Hollis
wiley   +1 more source