Results 161 to 170 of about 318,560 (303)

Quantitative forest planning : Application to intensive forestry

, 1999
Même si leur champ d'application est susceptible de concerner l'ensemble des forêts, les méthodes quantitatives de gestion forestière sont particulièrement adaptées à des situations de foresterie intensive telles qu'on peut en rencontrer pour le Pin maritime dans les landes de Gascogne qui sert de support à l'exemple présenté dans cet article.
Peyron, Jean-Luc, Calvet, Philippe, Guo, Bin, Lemoine, Bernard   +3 more
openaire   +1 more source

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

Comparison of Diagnostic Utilities in a Canine Retrobulbar Large B-Cell Lymphoma With Multifocal Involvement. [PDF]

Vet Med Sci
Jung R, Bae H, Cho KW, Jung DI, Yu D.
europepmc   +1 more source

Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution

Advanced Intelligent Discovery, EarlyView.
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren, Qian Jiang, Xin Jin, Puming Wang, Xing Chu, Shaowen Yao, Shengfa Miao   +6 more
wiley   +1 more source

FORWARD: Dataset of a forwarder operating in rough terrain. [PDF]

Data Brief
Lundbäck M, Wallin E, Häggström C, Nyström M, Grönlund A, Richardson M, Jönsson P, Arnvik W, Hedström L, Fälldin A, Servin M.   +10 more
europepmc   +1 more source

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

Northern Peatlands in Transition in the 21st Century - Land Use, Status, Policies and Future Trajectories: Comparisons Between Finland, Ireland and Scotland. [PDF]

Environ Manage
Lampela M, Renou-Wilson F, Andersen R, Wilson D, Artz RRE, Clilverd H, Turunen J, Tolvanen A, Maanavilja L, Laine AM.   +9 more
europepmc   +1 more source

Forestry Commission: Plans for Expansion [PDF]

Nature, 1966
openaire   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Adaptive laboratory evolution with ethionine identifies novel genetic determinants for enhanced protein and methionine accumulation in Saccharomyces cerevisiae. [PDF]

J Biol Eng
Lee TH, Do SH, Lee HJ, Lee KJ, Shin J, Park YC, Kim SK.   +6 more
europepmc   +1 more source