Southwestern Bell Telephone Company is a wholly owned subsidiary of AT&T. It does business as other d/b/a names in its operating region, which includes Arkansas, Kansas, Missouri, Oklahoma, Texas, and portions of Illinois.The company is currently headquartered in Dallas, Texas at One AT&T Plaza..
Dr. Erping Li, an EMC Society member and member of the EMC-S Board of Governors, has been elected as an International Member of the Chinese Academy of Engineering for his “outstanding contributions to electromagnetic modeling and applications in chip integration and EMC,” which is the highest honor in the engineering profession in China.
The accurate land use and land cover (LULC) classification in the data-scarce urbanized region of Peshawar remains challenging due to computational limitations, accuracy assessment, and traditional techniques. This study, for the first time, addresses this research gap by introducing different robust machine learning (ML) algorithms in Google Earth Engine (GEE). The crux of this study is to analyze the comparative performances of four classifiers, namely, classification and regression tree (CART), minimum distance (MiD), random forest (RF), and support vector machine (SVM) within GEE using Sentinel data for reliable LULC classification from 2020 to 2024. The performance of each classifier was evaluated by validation and accuracy assessment. The composed points of each class were run in a scripted code and assigned 70 = 95
Stress from low light availability and flooding can reduce photosynthesis and growth rates of trees, contributing to possible regeneration challenges in bottomland hardwood forests. This study investigated the photosynthetic light responses of pin oak (Quercus palustris Muenchh.) and swamp white oak (Quercus bicolor Willd.) seedlings growing in two light environments and across a hydrological gradient. Our findings revealed that neither light environment nor soil moisture availability had a significant impact on leaf mass per area, light compensation point, dark respiration rate, or apparent quantum yield. However, light availability strongly affected photosynthetic rates of the oak seedlings, with greatest photosynthetic rates observed in high light environments. The more light-demanding pin oak exhibited lower rate of photosynthesis in response to decreased light availability compared to swamp white oak. The different light requirements of these oak species could directly influence the length of time seedlings can remain in the understory before they can be released. Additionally, the effect of soil moisture stress on foliar nitrogen and photosynthesis was more pronounced in low light environments. We observed a direct relationship between foliar nitrogen and light availability, as well as a positive correlation between photosynthetic rate and foliar nitrogen. Thus, any decrease in foliar nitrogen resulting from low light environments and soil inundation could adversely affect photosynthetic capacity and subsequent development of oak seedlings in bottomland hardwood forests.
Collecting representative demographic information to estimate wildlife population dynamics can be difficult, particularly for populations broadly distributed across heterogeneous landscapes. We developed an Integrated Population Model (IPM) to estimate spatially explicit demographic rates for mourning dove (Zenaida macroura) in Missouri, USA using 25 years of band-recovery data, harvest age ratios, and roadside counts across four distinct physiographic regions. We evaluated the impact of sampling schemes on demographic estimates using simulated data. Our model revealed substantial variation in survival probabilities among physiographic regions while productivity rates were similar (~2.5 juveniles produced per adult). Two regions with disproportionately high banding and harvest of doves likely biased previous state-wide estimates of survival low; adult and juvenile survival probabilities were 30% and 40% lower, respectively, relative to the other regions. Demographic inference based on these two regions alone would suggest that the subpopulation in Missouri faces extirpation, in contrast to more stable or even increasing trends in less heavily sampled regions. Our simulation results illustrated that large increases in the number of banded birds would be required to meaningfully reduce uncertainty in survival. We also found that the use of state-collected productivity data from intensively managed sites could bias productivity estimates high. We anticipate that conservationists could use this information as context in among-state coordination of harvest opportunities. More broadly, we encourage practitioners to test perceived biases in their sampling schemes and to use results gained in redesigning studies to reduce identified biases.
