Tier 1— System Administrator Story

2016 ◽  
pp. 59
Author(s):  
Josh More ◽  
Anthony J. Stieber ◽  
Chris Liu
Keyword(s):  
Tier 1 ◽  
System Administrator

Tier 1—System Administrator

2016 ◽  
pp. 54-58
Author(s):  
Josh More ◽  
Anthony J. Stieber ◽  
Chris Liu
Keyword(s):  
Tier 1 ◽  
System Administrator

An Innovative Approach for Online Food Order Management System

2018 ◽  
Vol 8 (3) ◽  
pp. 19
Author(s):  
Anshika Srivastava ◽  
Anjali Baranwal
Keyword(s):  
Open Source Software ◽  
Fast Food ◽  
Book Order ◽  
Food Items ◽  
Order Management ◽  
Restaurant Managers ◽  
Fast Food Restaurants ◽  
System Administrator ◽  
Data Connection ◽  
Food Order

Abstract— Restaurants are one of the favorite premises .An online food ordering is a integrated process in fast food Restaurants to offer choice of food from menu, cooked and served or packaged hot to satisfy customer  to immediately make orders on their ownselves. Customers can also call the restaurant to pack in advance or to  deliver the food item but sometimes restaurants run out of certain items.The existing system lacks the feature to use Remote GPS tracker such that restaurant managers are auto updated about the location of the customer before reaching the restaurant. We propose a complete system to easily manage online menu where items update as per the availability of food and prices. The Customer views the products, register and place the order. The system administrator adds and manages user accounts and the Manager manages product and orders. The Kitchen meal deliverable deals with pending deliveries .The proposed system is developed using Android platform which is open source software and built in data connection modules. It also decreases labour rates to replace mobile phones to book order and table unlike employees who come to take order and payments .In advent of food consumption problems like obesity, overeating etc. ,he proposed system will show food items with nutrition based searches showing ingredients of the food items.

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.

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