Results 161 to 170 of about 346,428 (198)

Spatial and temporal assessment of soil degradation risk in Europe. [PDF]

Sci Rep
Afshar MH, Hassani A, Aminzadeh M, Borrelli P, Panagos P, Robinson DA, Or D, Shokri N.   +7 more
europepmc   +1 more source

Advancing European Plant Variety Registration: Data‐Driven Insights and Stakeholder Perspectives

Agribusiness, EarlyView.
ABSTRACT Efficient plant variety registration is crucial for fostering innovation in the European Union, yet the current regulatory framework is complex and faces calls for reform. This study provides data‐driven evidence to inform the ongoing legislative debate by employing a mixed‐methods approach.
Sergio Urioste Daza, Ibtissem Taghouti, José María Gil Roig   +2 more
wiley   +1 more source

Spatio-temporal Attention driven Rainfall Inference using Transformative Architecture (SARITA). [PDF]

Sci Rep
Sharma I, Azad S, Suri A, Omar AH.
europepmc   +1 more source

Laparoscopic Colorectal Surgery in the Era of Robotics: Evolution, Eclipse, or Equilibrium?

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Minimally invasive colorectal surgery has undergone a remarkable transformation over the past three decades. Laparoscopy, once viewed with skepticism, is now firmly established as a standard approach, supported by robust randomized trials demonstrating oncologic safety and improved recovery compared to open surgery.
Amanjeet Singh, Archit Gupta, Azhar Perwaiz, Adarsh Chaudhary   +3 more
wiley   +1 more source

Dynamic graph learning framework based seasonal and trend decomposition approach for potato crop evapotranspiration prediction. [PDF]

Sci Rep
Cheema SJ, Diykh M, Ali M, Farooque AA, Malekian R, Saleem SR, Galagedara LW, Sadiq R, Randhawa GS, Zaman QU.   +9 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Climate Change and Habitat Fragmentation: Implications for the Future Distribution and Assisted Migration of <i>Kobresia pygmaea</i>. [PDF]

Plants (Basel)
Cai Z, Li F, Bao S, Zhang H, Shi J.
europepmc   +1 more source

Factorization Machine‐Based Active Learning for Functional Materials Design with Optimal Initial Data

Advanced Intelligent Discovery, EarlyView.
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley   +1 more source

Precipitation forecasting utility for proactive agroecosystem management: A case study from the Texas Gulf LTAR site. [PDF]

J Environ Qual
Schantz MC, Hardegree SP, Abatzoglou JT, Fullhart A, Adhikari K, Harmel RD, Thorp KR, Leyton JO, Smith DR.   +8 more
europepmc   +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