Results 171 to 180 of about 18,720 (311)

Random finite element analysis on ground subsidence caused by tunnel excavation in karst regions with spatial variable soil

Deep Underground Science and Engineering, EarlyView.
This study investigates ground subsidence during tunnel excavation in karst areas, highlighting the combined effects of karst cave proximity, cave size, and soil spatial variability. Findings suggest that shorter cave distances and larger cave sizes increase subsidence variability, and a modified Peck formula is proposed for more accurate subsidence ...
Zhenghong Su, Yong Fu, Miaomiao Sun, Kailin Ding, Ying Zhao   +4 more
wiley   +1 more source

Rainfall alters network structure, while fragmentation results in the breakdown of a mixed-species group of birds. [PDF]

Oecologia
Gómez-Murillo L, Vizentin-Bugoni J, Ramírez-Mejía AF, Tarwater CE.   +3 more
europepmc   +1 more source

Strengthening urban resilience in China through underground infrastructures management: Addressing global climate challenges with technological solutions

Deep Underground Science and Engineering, EarlyView.
This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh, Tonni Agustiono Kurniawan, Christia Meidiana, Abdelkader Anouzla, Faissal Aziz, Imran Ali, Joan Cecilia C. Casila, M. Imran Khan, Dongdong Zhang, Meihui Jiang, Mohd Hafiz Dzarfan Othman, Md Munir Hayet Khan, Kasun Kumara Dissanayake   +12 more
wiley   +1 more source

National-scale landslide susceptibility and risk mapping of India using a hybrid data-driven approach. [PDF]

Sci Rep
Khan I, Bahuguna H, Kainthola A, Ahmed R, Asgher MS.   +4 more
europepmc   +1 more source

Atmospheric response to variations in sea surface temperature [PDF]

An extended range prediction experiment was performed with the GISS atmospheric model on a global data to test the sensitivity of the model to sea surface temperature (SST) variation over a two-week forecast period.
Atlas, R., Spar, J.
core   +1 more source

Research progress and current status of dynamic wave propagation characteristics in rock mass: A review

Deep Underground Science and Engineering, EarlyView.
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu, Tao Li, Ruiqi Yuan, Yue Li, Bingni Wu, Bo Liu, Zhengding Deng, Galindo Rubén, Fausto Molina‐Gómez   +8 more
wiley   +1 more source

"Smart agriculture: a climate-driven approach to modelling and forecasting fall armyworm populations in maize using machine learning algorithms". [PDF]

Front Plant Sci
Kalisetti VS, Sudharshanam U, Mallela Venkata NK, Mandla R, Akula S, Bedika M, Dharavath B, Dogga S, A RB, Javaji C.   +9 more
europepmc   +1 more source

Starving for Data: Eating Disorders Prevalence and Research Gaps in Southern Africa

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Studies reporting prevalence estimates of eating disorders in Southern Africa are scarce. To fill this gap, the present Research Forum reviews existing literature on the prevalence of eating disorders, including as assessed by clinical interviews, screeners, and self‐reported behaviors, among individuals in Southern Africa.
Bernou Melisse, Jojanneke M. Bijsterbosch, Lot Sternheim   +2 more
wiley   +1 more source

Channel quality predictions assisted by new algorithms for high throughput satellite and 5G systems. [PDF]

Sci Rep
Al-Saegh AM, Ali EM, Abdalrazak MQ, Elmunim NA, Alibakhshikenari M, Virdee BS, Abbasi NA, Chaudhary MA, Kouhalvandi L, Elwi TA, Livreri P, Saber T.   +11 more
europepmc   +1 more source

Powerful yet challenging: mechanistic niche models for predicting invasive species potential distribution under climate change

Ecography, EarlyView.
Risk assessments of invasive species present one of the most challenging applications of species distribution models (SDMs) due to the fundamental issues of distributional disequilibrium, niche changes, and truncation. Invasive species often occupy only a fraction of their potential environmental and geographic ranges, as their spatiotemporal dynamics ...
Erola Fenollosa, Sean E. H. Pang, Natalie J. Briscoe, Antoine Guisan, Roberto Salguero-Gómez   +4 more
wiley   +1 more source