Rishabh Singh

Exploring the real-life beef between Randy Orton and singer/rapper MGK after their recent online spat, where MGK revealed it all began at SummerSlam.

Dave Batista reveals why his initially scheduled WWE Hall of Fame induction was delayed after he retired from WWE. The Animal remains hopeful for his future induction.

Despite seeing massive success in WWE during his rookie year, Brock Lesnar confessed to hating life as a WWE wrestler, reveals Hall of Famer.

Revisiting WWE's most controversial storyline involving Kane and Triple H, where the former was accused of murder and necrophilia.

Despite Vince McMahon's genius contributions to WWE creative storylines, he was once accused of bootlegging Johnny Depp's iconic movie character for a WWE gimmick.

Former Women's Champion Lita once revealed she was threatened to be fired by Vince McMahon for refusing to partake in the infamous Live S*X Celebration segment.

In the Gulf Coastal Plains of Texas, a state-of-the-art distributed network of field observatories, known as the Texas Water Observatory (TWO), is developed to better understand the water, energy, and carbon cycles across the critical zone (encompassing aquifers, soils, plants, and atmosphere) at different spatiotemporal scales. Using more than 300 advanced real-time/near-real-time sensors, this observatory monitors high-frequency water, energy, and carbon storage and fluxes in the Brazos River corridor, which are critical for coupled hydrologic, biogeochemical, and land–atmosphere process understanding in the region. TWO provides a regional resource for better understanding and/or managing agriculture, water resources, ecosystems, biodiversity, disasters, health, energy, and weather/climate. TWO infrastructure spans common land uses in this region, including traditional/aspirational cultivated agriculture, rangelands, native prairie, bottomland hardwood forest, and coastal wetlands. Sites represent landforms from low-relief erosional uplands to depositional lowlands across climatic and geologic gradients of central Texas. We present the overarching vision of TWO and describe site design, instrumentation specifications, data collection, and quality control protocols. We also provide a comparison of water, energy, and carbon budget across sites, including evapotranspiration, carbon fluxes, radiation budget, weather, profile soil moisture and soil temperature, soil hydraulic properties, hydrogeophysical surveys, groundwater levels, and groundwater quality reported at TWO primary sites for 2018–20 (with certain data gaps). In conjunction with various Earth-observing remote sensing and legacy databases, TWO provides a master testbed to evaluate process-driven or data-driven critical zone science, leading to improved natural resource management and decision support at different spatiotemporal scales.

A letter of interest is a powerful tool in your job search arsenal. Unlike a cover letter, which is...

When it comes to acing a job interview, especially a behavioral one, preparation is key. Many hiring...

This study discusses and analyzes the difference between causal and predictive modeling to model travel mode choice. Causal modeling is expressed through causal discovery and causal inference, used to extract causal relationships in mode choice decision making and estimate causal effects between variables. Predictive modeling is expressed through artificial neural networks. When modeling travel mode choice in three Chicago neighborhoods, we find that both causal and predictive modeling approaches perform well and are useful for their modeling purposes. We also note that the study of mode choice behavior through causal modeling is under-explored while it could transform our understanding of mode choice behavior. Further research is needed to realize the full potential of these techniques in modeling mode choice.