Results 131 to 140 of about 276,728 (304)

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

Climate Change Policy as Economic Stimulus: Evidence and Opportunities From the States [PDF]

, 2008
Using data from twenty states with climate change mitigation policies, creates an aggregate model to estimate their potential economic stimulus effect, as well as cost savings and reductions in fossil fuel consumption and greenhouse gas ...

core  

Systematic Review and Meta‐Analysis of Short‐ and Long‐Term Outcomes Following Natural Orifice Specimen Extraction for Colon Cancer

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Natural orifice specimen extraction (NOSE) in colon cancer surgery raises concerns about intra‐abdominal infection, peritoneal seeding, and local recurrence due to possible tumor cell implantation. This systematic review and meta‐analysis compares complete intracorporeal resection with NOSE versus conventional laparoscopic colon ...
Daichi Kitaguchi, Antonello Forgione, Mariano Giménez, Tatsuya Oda, Jacques Marescaux   +4 more
wiley   +1 more source

AN EVALUATION OF POST-INDEPENDENCE AGRICULTURAL POLICIES IN RELATION TO ECONOMIC DEVELOPMENT IN NIGERIA(1960 - 1987} [PDF]

AGRICULTURE IN ITS COMMON PARLENCE INCLUDES PRODUCTION, RESEARCH AND TRAINING IN THE FIELDS OF CROPS, FORESTRY, FISHING AND LIVESTOCK. NIGERIAN AGRICULTURE WAS CHARACTERIZED BY LOW FARM INCOMES; LOW CAPACITY LEVEL TO SATISFY FOOD AND FIBRE NEEDS OF THE ...
DR. GODWIN CHUKWUDUM NWAOBI
core  

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Institutional consumers' views of GHG emission reduction by optional milk systems within sustainability frame [PDF]

, 2008
An on-going study examines how Green House Gas (GHG) emission information could be used to support consumption driven changes in production, leading to reduction of GHG emissions in agriculture.
Mikkola, Minna, Risku-Norja, Helmi
core  

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

Expert projections on the development and application of bioenergy with carbon capture and storage technologies

Environmental Research Letters
Bioenergy with carbon capture and storage (BECCS) is a crucial element in most modelling studies on emission pathways of the Intergovernmental Panel on Climate Change to limit global warming.
Tobias Heimann, Lara-Sophie Wähling, Tomke Honkomp, Ruth Delzeit, Alessandra Pirrone, Franziska Schier, Holger Weimar   +6 more
doaj   +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

A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction

Advanced Intelligent Discovery, EarlyView.
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai, Wenrui Wang, Rui Chen, Tong Yu, Xiaojuan Zheng, Hua Shao, Dashan Shang, Ling Li, Lado Filipovic   +8 more
wiley   +1 more source