Evaluating, Modifying, and Enhancing Tier 1 Services

2021 ◽  
pp. 72-96
Author(s):  
Elizabeth Davis
Keyword(s):  
Tier 1

Optimal Timing for Launching Installation of Tier 2 and 3 Systems of School-Wide Positive Behavioral Interventions and Supports

2021 ◽  
pp. 109830072199608
Author(s):  
Angus Kittelman ◽  
Sterett H. Mercer ◽  
Kent McIntosh ◽  
Robert Hoselton
Keyword(s):  
Longitudinal Study ◽  
Behavioral Interventions ◽  
Structural Equation ◽  
Equation Modeling ◽  
Optimal Timing ◽  
First Year ◽  
Tier 2 ◽  
Positive Behavioral Interventions ◽  
Tier 1 ◽  
Tier 3

The purpose of this longitudinal study was to examine patterns in implementation of Tier 2 and 3 school-wide positive behavioral interventions and supports (SWPBIS) systems to identify timings of installation that led to higher implementation of advanced tiers. Extant data from 776 schools in 27 states reporting on the first 3 years of Tier 2 implementation and 359 schools in 23 states reporting on the first year of Tier 3 implementation were analyzed. Using structural equation modeling, we found that higher Tier 1 implementation predicted subsequent Tier 2 and Tier 3 implementation. In addition, waiting 2 or 3 years after initial Tier 1 implementation to launch Tier 2 systems predicted higher initial Tier 2 implementation (compared with implementing the next year). Finally, we found that launching Tier 3 systems after Tier 2 systems, compared with launching both tiers simultaneously, predicted higher Tier 2 implementation in the second and third year, so long as Tier 3 systems were launched within 3 years of Tier 2 systems. These findings provide empirical guidance for when to launch Tier 2 and 3 systems; however, we emphasize that delays in launching advanced systems should not equate to delays in more intensive supports for students.

Assessing the Development of Operator Trust in Automation: A Longitudinal Study of an Autonomous Campus Shuttle

2020 ◽  
Vol 64 (1) ◽  
pp. 1421-1425
Author(s):  
Margaret Fowler ◽  
Farzan Sasangohar ◽  
Bob Brydia
Keyword(s):  
Longitudinal Study ◽  
Significant Relationship ◽  
Autonomous Vehicle ◽  
Student Population ◽  
Tier 1 ◽  
Trust In Automation ◽  
Operational Issues ◽  
The Relationship ◽  
Over Time

A large public tier-1 university hosted an autonomous vehicle on campus for a 12-week demonstration. Throughout the deployment, the vehicle was operated autonomously and used 5 safety operators from the student population to take over shuttle operations, as necessary. Daily and weekly surveys as well as pre-and post-study interviews were used to investigate how operators’ trust developed and changed over time as well as the relationship between trust and operational issues that varied in severity. Results revealed that there was not a significant relationship between trust and severity of operational issues. Trust levels appeared to remain relatively consistent before, during and after the deployment.

Tier-1 Ecological Risk Assessment of booster biocides in sediments of the Brazilian Coastal Areas

Chemosphere ◽  
2021 ◽  
pp. 130155
Author(s):  
Fiamma Eugênia Lemos Abreu ◽  
Samantha Eslava Martins ◽  
Gilberto Fillmann
Keyword(s):  
Risk Assessment ◽  
Ecological Risk ◽  
Ecological Risk Assessment ◽  
Coastal Areas ◽  
Tier 1

scholarly journals The Use of Subsidence to Estimate Carbon Loss from Deforested and Drained Tropical Peatlands in Indonesia

Forests ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 732
Author(s):  
Gusti Z. Anshari ◽  
Evi Gusmayanti ◽  
Nisa Novita
Keyword(s):  
Water Table ◽  
Carbon Emission ◽  
Bottom Layer ◽  
Groundwater Table ◽  
Microbial Oxidation ◽  
Tropical Peat ◽  
Subsidence Rate ◽  
Tier 1 ◽  
Tropical Peatlands ◽  
Physical Changes

Drainage is a major means of the conversion of tropical peat forests into agriculture. Accordingly, drained peat becomes a large source of carbon. However, the amount of carbon (C) loss from drained peats is not simply measured. The current C loss estimate is usually based on a single proxy of the groundwater table, spatially and temporarily dynamic. The relation between groundwater table and C emission is commonly not linear because of the complex natures of heterotrophic carbon emission. Peatland drainage or lowering groundwater table provides plenty of oxygen into the upper layer of peat above the water table, where microbial activity becomes active. Consequently, lowering the water table escalates subsidence that causes physical changes of organic matter (OM) and carbon emission due to microbial oxidation. This paper reviews peat bulk density (BD), total organic carbon (TOC) content, and subsidence rate of tropical peat forest and drained peat. Data of BD, TOC, and subsidence were derived from published and unpublished sources. We found that BD is generally higher in the top surface layer in drained peat than in the undrained peat. TOC values in both drained and undrained are lower in the top and higher in the bottom layer. To estimate carbon emission from the top layer (0–50 cm) in drained peats, we use BD value 0.12 to 0.15 g cm−3, TOC value of 50%, and a 60% conservatively oxidative correction factor. The average peat subsidence is 3.9 cm yr−1. The range of subsidence rate per year is between 2 and 6 cm, which results in estimated emission between 30 and 90 t CO2e ha−1 yr−1. This estimate is comparable to those of other studies and Tier 1 emission factor of the 2013 IPCC GHG Inventory on Wetlands. We argue that subsidence is a practical approach to estimate carbon emission from drained tropical peat is more applicable than the use of groundwater table.

scholarly journals Global Inland Capture and Culture Finfisheries Follow Different Trends When Evaluated by the Human Development Index

2021 ◽  
Vol 13 (15) ◽  
pp. 8420
Author(s):  
Peter W. Sorensen ◽  
Maria Lourdes D. Palomares
Keyword(s):  
Socioeconomic Factors ◽  
Human Development ◽  
Human Development Index ◽  
Developed Countries ◽  
Global Scale ◽  
Tier 2 ◽  
Development Index ◽  
Tier 1 ◽  
Catch Reconstruction ◽  
Tier 3

To assess whether and how socioeconomic factors might be influencing global freshwater finfisheries, inland fishery data reported to the FAO between 1950 and 2015 were grouped by capture and culture, country human development index, plotted, and compared. We found that while capture inland finfishes have greatly increased on a global scale, this trend is being driven almost entirely by poorly developed (Tier-3) countries which also identify only 17% of their catch. In contrast, capture finfisheries have recently plateaued in moderately-developed (Tier-2) countries which are also identifying 16% of their catch but are dominated by a single country, China. In contrast, reported capture finfisheries are declining in well-developed (Tier-1) countries which identify nearly all (78%) of their fishes. Simultaneously, aquacultural activity has been increasing rapidly in both Tier-2 and Tier-3 countries, but only slowly in Tier-1 countries; remarkably, nearly all cultured species are being identified by all tier groups. These distinctly different trends suggest that socioeconomic factors influence how countries report and conduct capture finfisheries. Reported rapid increases in capture fisheries are worrisome in poorly developed countries because they cannot be explained and thus these fisheries cannot be managed meaningfully even though they depend on them for food. Our descriptive, proof-of-concept study suggests that socioeconomic factors should be considered in future, more sophisticated efforts to understand global freshwater fisheries which might include catch reconstruction.

scholarly journals Seismic characteristics of polygonal fault systems in the Great South Basin, New Zealand

2020 ◽  
Vol 12 (1) ◽  
pp. 851-865
Author(s):  
Sukonmeth Jitmahantakul ◽  
Piyaphong Chenrai ◽  
Pitsanupong Kanjanapayont ◽  
Waruntorn Kanitpanyacharoen
Keyword(s):  
Three Dimensional ◽  
Late Eocene ◽  
Seismic Survey ◽  
Fault System ◽  
Normal Faults ◽  
Tier 2 ◽  
South Basin ◽  
Fault Systems ◽  
Tier 1 ◽  
Polygonal Fault

AbstractA well-developed multi-tier polygonal fault system is located in the Great South Basin offshore New Zealand’s South Island. The system has been characterised using a high-quality three-dimensional seismic survey tied to available exploration boreholes using regional two-dimensional seismic data. In this study area, two polygonal fault intervals are identified and analysed, Tier 1 and Tier 2. Tier 1 coincides with the Tucker Cove Formation (Late Eocene) with small polygonal faults. Tier 2 is restricted to the Paleocene-to-Late Eocene interval with a great number of large faults. In map view, polygonal fault cells are outlined by a series of conjugate pairs of normal faults. The polygonal faults are demonstrated to be controlled by depositional facies, specifically offshore bathyal deposits characterised by fine-grained clays, marls and muds. Fault throw analysis is used to understand the propagation history of the polygonal faults in this area. Tier 1 and Tier 2 initiate at about Late Eocene and Early Eocene, respectively, based on their maximum fault throws. A set of three-dimensional fault throw images within Tier 2 shows that maximum fault throws of the inner polygonal fault cell occurs at the same age, while the outer polygonal fault cell exhibits maximum fault throws at shallower levels of different ages. The polygonal fault systems are believed to be related to the dewatering of sedimentary formation during the diagenesis process. Interpretation of the polygonal fault in this area is useful in assessing the migration pathway and seal ability of the Eocene mudstone sequence in the Great South Basin.

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