Results 71 to 80 of about 97,813 (267)
Topography constrains the climatic response of treeline migration in Taiwan's subalpine forests
Treelines are moving upslope, but the rates and drivers differ among different regions, globally. Many studies have examined the relationship between treeline movement and climate change, particularly rising temperature, while the role of topographical factors has received much less attention, despite the longstanding recognition of its importance.
Kuan‐Yu Chen +3 more
wiley +1 more source
Left Wanting and Left Unheard: A Dual Grievance Model of Populism Across Six European Countries
ABSTRACT This study tests a dual grievance model of populism by examining whether relative deprivation and external political inefficacy are linked to two core dimensions of populist beliefs (people sovereignty and anti‐elitism) via aversive political emotions (anger, sadness and fear) and institutional distrust across six European countries (N = 5487).
Anna Cortijos‐Bernabeu +2 more
wiley +1 more source
ABSTRACT Affective polarisation, a growing hostility toward political outgroups, is a phenomenon rooted in social identity. Social identity threat—the expectation of experiencing some form of denigration based on a self‐relevant group identity—is thought to be a major driver of affective polarisation.
Brandon McMurtrie +4 more
wiley +1 more source
Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), and systemic inflammatory response index (SIRI) are widely used to assess patient’s outcome in many ...
Zergoun Ahmed Amine +4 more
doaj +1 more source
Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning
The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari +2 more
wiley +1 more source
To characterize the grain morphology from multiple apsects such as size, shape and distribution, and then realize the quantitative ultrasonic evaluation of the uniformity of grain morphology, an ultrasonic multi-parameter evaluation method for grain ...
GONG Xin, CHEN Jie, CHEN Xi, WU Guanhua
doaj +1 more source
The proposed framework operates as a continuous cycle: organizational data streams feed into predictive optimization, which generates energy efficiency targets. These targets are translated into behavioral directives through human resource management mechanisms.
Huang Juan, Aimi Binti Anuar
wiley +1 more source
Modeling the activity ratio of soil potassium using machine learning approach
The potassium (K) Quantity-Intensity (Q-I) relationship results in important parameters, including the activity ratio of potassium at equilibrium (AReK), which indicates potassium availability in soil.
Desi Nadalia +5 more
doaj +1 more source
: Based on the comprehensive interpretation of cores, loggings and 2D/3D seismic data of Shenhu GMGS3 drilling area in the northern South China Sea, the distribution characteristics, differential accumulation mechanism and reservoir forming mechanism of ...
Wei ZHANG +8 more
doaj +1 more source
This graphical abstract summarizes the proposed framework for improving short‐term residential natural gas consumption forecasting by integrating a novel socioeconomic indicator, the subscription growth ratio (SGR), with conventional meteorological variables.
Ali Pirzad, Mostafa Khanzadi
wiley +1 more source

