Results 41 to 50 of about 10,348 (301)
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source
Regional Analysis of Resource Curse Hypothesis: Evidence from Panel Data [PDF]
Natural resources are generally considered to be very important for development of any country. Sachs and Warner (1995) empirical study initiated a new debate in the field of economics that countries where natural resources are in abundance have slow ...
Abdul HANNAN *, Hasan M. MOHSIN **
doaj
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan +8 more
wiley +1 more source
Politics and the natural resource curse: Evidence from selected African states
This paper analysed political aspects of the resource curse in selected African states. The paper drew from the fact that the African region has extensive (untapped) natural resources deposits that, if utilised, can promote sustainable economic ...
C. Mlambo
doaj +1 more source
Natural Resources: Are They Really a Curse? [PDF]
The curse of natural resources detected in numerous cross-country growth regressions is questioned. Although natural resource dependence is associated with slow economic growth, there is no evidence that natural resource abundance per se is negatively related to growth.
Alexandr Cerny, Randall K. Filer
openaire +2 more sources
Through a systematic and comprehensive analysis of the environmental impacts for the emerging MXene synthesis pathways, this study presents process transformation and optimization opportunities for low‐carbon MXene production from laboratory to industrial scales.
Yushuai Huang +6 more
wiley +1 more source
There is growing consensus that large oil and gas revenues in autocracies have multiple pernicious effects, from decreasing democratization to increasing armed conflict: the so-called “resource curse.” Yet we know little about the effects of oil and gas ...
Jonathan Pinckney
doaj +1 more source
The aim of this study is to investigate the impact of institutional quality (IQ) and natural resources (NR) on sustainable development (SD) in 107 developing countries, using instrumental variable-generalized method of moment (IV-GMM) method.
Brahim Bergougui, Syed Mansoob Murshed
doaj +1 more source
Local natural resource curse? [PDF]
Abstract Utilizing an output based efficiency measure we investigate whether higher public revenues harm efficiency in the production of local public goods. Much variation in revenues among Norwegian local governments can be explained by revenues collected from hydropower production.
Lars-Erik Borge +2 more
openaire +3 more sources
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley +1 more source

