Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Physical Sciences and Mathematics (8562)
- Engineering (2467)
- Computer Sciences (2390)
- Earth Sciences (2197)
- Education (2115)
-
- Life Sciences (1755)
- Environmental Sciences (1599)
- Social and Behavioral Sciences (1593)
- Artificial Intelligence and Robotics (1097)
- Geology (1001)
- Medicine and Health Sciences (850)
- Arts and Humanities (783)
- Physics (733)
- Mathematics (726)
- Plant Sciences (698)
- Chemistry (683)
- Soil Science (648)
- Agronomy and Crop Sciences (603)
- Agricultural Science (598)
- Plant Biology (592)
- Weed Science (580)
- Plant Pathology (575)
- Environmental Monitoring (550)
- Environmental Indicators and Impact Assessment (501)
- Sustainability (500)
- Computer Engineering (494)
- Business (470)
- Electrical and Computer Engineering (441)
- Mechanical Engineering (402)
- Statistics and Probability (399)
- Institution
-
- Western Michigan University (866)
- University of Kentucky (809)
- Technical Disclosure Commons (560)
- University of Technology (421)
- Old Dominion University (407)
-
- Singapore Management University (349)
- University of Texas at Arlington (333)
- Montana Tech Library (312)
- Arkansas State University (282)
- Missouri University of Science and Technology (264)
- Utah State University (254)
- University of Texas Rio Grande Valley (252)
- University of New Mexico (248)
- TÜBİTAK (233)
- Embry-Riddle Aeronautical University (226)
- Nova Southeastern University (207)
- Kennesaw State University (204)
- City University of New York (CUNY) (190)
- China Coal Technology and Engineering Group (CCTEG) (187)
- Liberty University (179)
- University of Arkansas, Fayetteville (175)
- Universitas Negeri Malang (173)
- California Polytechnic State University, San Luis Obispo (168)
- China Simulation Federation (167)
- Portland State University (158)
- University of Montana (145)
- University of Central Florida (138)
- Edith Cowan University (137)
- Claremont Colleges (131)
- Chapman University (130)
- Keyword
-
- Engineering (226)
- Machine learning (207)
- Artificial intelligence (195)
- Artificial Intelligence (129)
- Deep learning (127)
-
- Machine Learning (116)
- Mathematics (111)
- AI (108)
- Education (103)
- Computer Science (98)
- Humans (95)
- Priority Soils (95)
- Generative AI (73)
- Large language models (68)
- Higher education (67)
- Climate change (62)
- Cybersecurity (60)
- Field Sampling (60)
- Consent Decree (55)
- Sustainability (55)
- Deep Learning (54)
- Mechanical (54)
- Large Language Models (52)
- STEM (52)
- Science (52)
- Unreclaimed Sites (47)
- Professional development (44)
- Female (43)
- Groundwater (43)
- Remote sensing (43)
- Publication
-
- Thin Sections (835)
- IGC Proceedings (1977-2023) (571)
- Defensive Publications Series (560)
- Theses and Dissertations (461)
- Engineering and Technology Journal (421)
-
- Silver Bow Creek/Butte Area Superfund Site (305)
- Research Collection School Of Computing and Information Systems (259)
- All Approved Curriculum (221)
- The Shorthorn Newspaper Collection: 1980s (209)
- Coal Geology & Exploration (187)
- Journal of System Simulation (167)
- Faculty Publications (159)
- Neutrosophic Sets and Systems (153)
- Discovery Day - Daytona Beach (144)
- Electronic Theses and Dissertations (139)
- Undergraduate Student Symposium (139)
- Doctoral Dissertations and Projects (134)
- Theses (133)
- Honors Theses (127)
- Master's Theses (126)
- Dissertations (125)
- Research outputs 2022 to 2026 (119)
- All Works (112)
- World of Coal Ash Proceedings (108)
- Baghdad Science Journal (101)
- Walden Dissertations and Doctoral Studies (90)
- C-Day Computing Showcase (89)
- All Graduate Theses and Dissertations, Fall 2023 to Present (86)
- Graduate Studies Theses and Dissertations 2026 (85)
- Bulletin of Chinese Academy of Sciences (Chinese Version) (83)
- Publication Type
Articles 17161 - 17162 of 17162
Full-Text Articles in Entire DC Network
Satellite Observations Reveal Ecosystem Resistance And Resilience To Short-Term Water Stress Driven By Dominant Vegetation Along A Rainfall Gradient In Australia, Huanhuan Wang, Qiaoyun Xie, Sally E. Thompson, Caitlin E. Moore, David L. Miller, Erik J. Veneklaas, Richard P. Silberstein, Xing Li, Jingfeng Xiao, Belinda E. Medlyn, William K. Smith
Satellite Observations Reveal Ecosystem Resistance And Resilience To Short-Term Water Stress Driven By Dominant Vegetation Along A Rainfall Gradient In Australia, Huanhuan Wang, Qiaoyun Xie, Sally E. Thompson, Caitlin E. Moore, David L. Miller, Erik J. Veneklaas, Richard P. Silberstein, Xing Li, Jingfeng Xiao, Belinda E. Medlyn, William K. Smith
Research outputs 2022 to 2026
Climate change is projected to intensify water stress in many ecosystems and poses threats to their stability, which can be quantified through ecosystem resistance and resilience. Relevant studies mostly focused on multi-year or annual droughts, and in spatially homogeneous or species-specific ecosystems. However, resilience and resistance within complex ecosystems, where different plants exhibit different adaptations and recovery behaviours, are less understood. Using productivity data from satellite-derived GOSIF (Global Orbiting Carbon Observatory-2 Solar-Induced Fluorescence) and flux towers, we examined vegetation responses to short-term (<1 year) water stress events from 2000 to 2018 along the North Australia Tropical Transect, which spans a 1600 mm rainfall gradient and transitions from seasonal mesic to non-seasonal arid ecosystems. We define resistance as productivity maintained during stress relative to a multi-year average baseline, and resilience as the extent to which productivity recovered one year after stress relative to the same baseline. Our results show that ecosystem resistance to water stress was lowest in semi-arid regions but higher in both arid and mesic regions, while ecosystem resilience showed the opposite pattern. These spatial patterns occurred regardless of seasonality and were mainly associated with dominant vegetation type. Woody savanna-dominated mesic regions exhibited highest resistance (0.82 ± 0.13, p < 0.001) and lowest resilience (0.26 ± 0.19, p < 0.001), shrublands in arid areas had intermediate values of both resistance (0.81 ± 0.14, p < 0.001) and resilience (0.27 ± 0.22, p < 0.001), while the grasslands in semi-arid regions had low resistance (0.78 ± 0.15, p < 0.001) and high resilience (0.38 ± 0.24, p < 0.001). The highest likelihood (>75.0 %) of full recovery (i.e., exceeding baseline after one year) occurred during the wet season in …1>
Bitcoin Halving: How Effective Is It In Driving Cryptocurrency Market Dynamics?, Nyoman Sri Subawa, Caren Angellina Mimaki, I. Made Oka Mahendra, Made Srinitha Millinia Utami
Bitcoin Halving: How Effective Is It In Driving Cryptocurrency Market Dynamics?, Nyoman Sri Subawa, Caren Angellina Mimaki, I. Made Oka Mahendra, Made Srinitha Millinia Utami
Research outputs 2022 to 2026
Bitcoin halving is a quadrennial event that halves mining rewards and is believed to influence cryptocurrency prices and cryptocurrency market dynamics. This study examines the effect of Bitcoin halving on Cryptocurrency Prices, with Government Regulations, Market Sentiment, and Cryptocurrency Performance as mediating variables. A quantitative research approach was employed, gathering original data via survey instruments from 294 participants within the cryptocurrency community in Bali, which were analyzed using PLS-SEM. The findings indicate that Bitcoin halving exerts a favorable and statistically meaningful influence on Government Regulations, Market Sentiment, Cryptocurrency Performance, and Cryptocurrency Prices. Market Sentiment fully mediates the influence of Government …