This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"Humans rely on microbial communities in both natural and applied settings. One such applied setting is wastewater treatment plants, which use microbial communities to remove pollutants. However, the stability of the taxonomic diversity in these settings is not well understood. To close this gap, researchers examined how the microbial community in activated sludge changed over time in a full-scale wastewater treatment plant. For the first 3 years of a 9-year series, the microbial community fluctuated around a stable average. Then a bleaching event, marked in red under the timeline, abruptly pushed the community to an alternative stable state, where the originally dominant Actinobacteriota were disproportionally depleted and replaced with Proteobacteria, but these taxonomic changes led to little change in either the metabolic profile of the community or system performance. In a fine-scale analysis of dynamics, the researchers identified cohorts that dominated at different periods..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"Microbial interactions play a crucial role in the functioning and biogeochemical cycling of Earth's ecosystem. But these connections are highly dynamic and poorly understood. A clear picture of how microbes interact over time could help gain insight into processes that influence nutrient cycling, productivity, and the overall health of marine ecosystems. Researchers investigated microbial dynamics in the Mediterranean Sea on a monthly basis over 10 years. To pinpoint persistent, seasonal, and temporary microbial associations, the researchers identified a temporal network capturing the interactomes of each sample. This network followed an annual cycle that collapsed and reassembled with changes in water temperature. And microbial associations were more repeatable in colder versus warmer months. However, only 16 associations could be validated in the literature, underlining a serious knowledge gap in marine microbial ecological interactions..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

Principles of Macroeconomics 2e covers the scope and sequence of most introductory economics courses. The text includes many current examples, which are handled in a politically equitable way. The outcome is a balanced approach to the theory and application of economics concepts. The second edition has been thoroughly revised to increase clarity, update data and current event impacts, and incorporate the feedback from many reviewers and adopters.Changes made in Principles of Macroeconomics 2e are described in the preface and the transition guide to help instructors transition to the second edition.

This course is offered to graduates and includes topics such as mathematical models of systems from observations of their behavior; time series, state-space, and input-output models; model structures, parametrization, and identifiability; non-parametric methods; prediction error methods for parameter estimation, convergence, consistency, and asymptotic distribution; relations to maximum likelihood estimation; recursive estimation; relation to Kalman filters; structure determination; order estimation; Akaike criterion; bounded but unknown noise model; and robustness and practical issues.

The course provides a survey of the theory and application of time series methods in econometrics. Topics covered will include univariate stationary and non-stationary models, vector autoregressions, frequency domain methods, models for estimation and inference in persistent time series, and structural breaks.
We will cover different methods of estimation and inferences of modern dynamic stochastic general equilibrium models (DSGE): simulated method of moments, Maximum likelihood and Bayesian approach. The empirical applications in the course will be drawn primarily from macroeconomics.

This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"Our urban sewer systems house - and feed - thriving communities of microorganisms. However, we currently know little about how these communities function. For example, do they differ across geography or respond to changing seasons? To begin to answer these questions, researchers characterized the bacterial communities from two wastewater treatment plants and several residential sewers in Milwaukee, WI, as well as from 77 other treatment plants across the US. In Milwaukee, as the wastewater moved from residential sewers to treatment plants, the human-associated bacteria decreased in abundance, and the sewer-associated bacteria increased. The human-associated community varied randomly over time, but the sewer-associated community cycled seasonally with changes in temperature. The wastewater bacterial communities from northern US cities mirrored the Milwaukee communities, while southern cities had distinct community compositions and seasonal patterns..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.