Results 91 to 100 of about 22,736 (245)

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

Molecular phylogenetic analysis of Echinococcus multilocularis from horses raised in Canada or Japan, using mitochondrial cytochrome b gene–targeted PCR

Food and Waterborne Parasitology
Alveolar echinococcosis is a zoonotic disease caused by a larval-stage Echinococcus multilocularis infection. Geographical haplotyping targeting the parasite's mitochondrial cytochrome b (cob) gene has been reported for isolates from definitive and ...
Tatsuro Hifumi, Tetsuya Tanaka, Ichinosuke Suzu, Miho Sato, Kohei Akioka, Chiaki Fujimata, Ryohei Shinkai, Tsutomu Maeda, Kodai Kusakisako, Hiromi Ikadai, Noriaki Miyoshi   +10 more
doaj   +1 more source

Agricultural Holdings and Slaughterhouses' Impact on Patterns of Pathological Findings Observed during Post-Mortem Meat Inspection. [PDF]

Animals (Basel), 2021
Klinger J, Conrady B, Mikula M, Käsbohrer A.   +3 more
europepmc   +1 more source

Data‐Driven High‐Throughput Volume Fraction Estimation From X‐Ray Diffraction Patterns

Advanced Intelligent Discovery, EarlyView.
Long exposure times and the need for manual evaluation limit the use of X‐ray diffraction in high‐throughput applications. This study presents a data‐driven approach addressing both issues. HiVE (a method for High‐throughput Volume fraction Estimation) performs composition estimation for high‐noise XRD patterns produced using polychromatic emission ...
Hawo H. Höfer, André Orth, Robert Wang, Ben Breitung, Simon Schweidler, Jasmin Aghassi‐Hagmann, Markus Reischl   +6 more
wiley   +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

Adding value to food chain information: using data on pig welfare and antimicrobial use on-farm to predict meat inspection outcomes. [PDF]

Porcine Health Manag, 2021
Pessoa J, McAloon C, Rodrigues da Costa M, García Manzanilla E, Norton T, Boyle L.   +5 more
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Biochemical indicators, quality and safety of domestic and wild pig slaughter products

Ukrainian Journal of Veterinary and Agricultural Sciences
Animal husbandry is one of the important branches of agricultural production, which plays an important role in the formation of food security of Ukraine and providing the population with important types of food.
S. V. Furman, I. M. Sokulskyi, D. V. Lisohurska, O. V. Lisohurska, B. V. Gutyj   +4 more
doaj   +1 more source

AS‐pHopt: An Optimal pH Prediction Model Enhanced by Active Site of Enzymes

Advanced Intelligent Discovery, EarlyView.
To address the low accuracy of enzyme optimal pH (pHopt) prediction, this study develops active site‐based pHopt (AS‐pHopt), a prediction model enhanced by active site information and pseudo‐label prediction. Integrating key structural and physicochemical features affecting enzyme pHopt, AS‐pHopt uses Evolutionary Scale Modeling (ESM)‐2 with active ...
Wenxiang Song, Xinmin Li, Hongbo Yu, Le Xiong, Guixia Liu, Weihua Li, Yun Tang   +6 more
wiley   +1 more source

Study on rapid determination method of ash content in wheat flour based on stochastic forest regression model

Shipin yu jixie
ObjectiveTo achieve rapid and accurate determination of ash content in wheat flour.MethodsBy preprocessing wheat raw materials and analyzing key influencing factors such as milling time and conductivity in depth, these factors were introduced as ...
LIU Yanqun, XIAO Fugang, CHEN Caihong
doaj   +1 more source