Sharing Transboundary Resources: International Lmu and Optimal Resource Use. Eyal Benvenisti, Cambridge: Cambridge University Press. Pp. xix, 276. Index. $80.

This study aims to determine whether the poly-culture of vegetables (mustard greens, spinach, and kale) in Puubunga village has achieved optimal resource use and how much income the farmers use of the resources in optimal conditions. This research was conducted from July to August 2020. Analysis of the data used in this research is the analysis of optimality using the analysis tool Linear Programming POM for Windows 3. Sensitivity analysis is carried out to determine the sensitivity interval between changes in resources without changing the optimal income. The results of the optimization analysis show that resource use is not optimal. The use of land, mustard seeds, urea fertilizer, medicines (Dursban and Gramoxone) and labor is not yet optimal or not fully utilized while their availability is excessive, so it needs to be added or subtracted from the existing supply. The use of spinach seed, kale seeds, and manure are scarce resources because in optimal conditions all supplies are used up. The total income of vegetable farming (mustard greens, spinach, and kale) obtained under optimal conditions is IDR 777.275 per growing season, which is greater than the actual total income of vegetable farming of IDR 672.814 per growing season.

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Simulation-based evaluation of anaesthesia residents: optimising resource use in a competency-based assessment framework

BMJ Simulation and Technology Enhanced Learning ◽

10.1136/bmjstel-2019-000504 ◽

2019 ◽

Vol 6 (6) ◽

pp. 339-343

Author(s):

Melinda Fleming ◽

Michael McMullen ◽

Theresa Beesley ◽

Rylan Egan ◽

Sean Field

Keyword(s):

Resource Use ◽

Clinical Training ◽

Optimal Number ◽

Theory And Practice ◽

High Stakes ◽

Simulation Based ◽

Optimal Resource ◽

Competency Based ◽

The Impact ◽

Competency Based Assessment

IntroductionSimulation training in anaesthesiology bridges the gap between theory and practice by allowing trainees to engage in high-stakes clinical training without jeopardising patient safety. However, implementing simulation-based assessments within an academic programme is highly resource intensive, and the optimal number of scenarios and faculty required for accurate competency-based assessment remains to be determined. Using a generalisability study methodology, we examine the structure of simulation-based assessment in regard to the minimal number of scenarios and faculty assessors required for optimal competency-based assessments.MethodsSeventeen anaesthesiology residents each performed four simulations which were assessed by two expert raters. Generalisability analysis (G-analysis) was used to estimate the extent of variance attributable to (1) the scenarios, (2) the assessors and (3) the participants. The D-coefficient and the G-coefficient were used to determine accuracy targets and to predict the impact of adjusting the number of scenarios or faculty assessors.ResultsWe showed that multivariate G-analysis can be used to estimate the number of simulations and raters required to optimise assessment. In this study, the optimal balance was obtained when four scenarios were assessed by two simulation experts.ConclusionSimulation-based assessment is becoming an increasingly important tool for assessing the competency of medical residents in conjunction with other assessment methods. G-analysis can be used to assist in planning for optimal resource use and cost-efficacy.

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Sharing, gift-giving, and optimal resource use in hunter-gatherer society

Economics of Governance ◽

10.1007/s10101-021-00254-x ◽

2021 ◽

Author(s):

Matthew J. Baker ◽

Kurtis J. Swope

Keyword(s):

Resource Use ◽

Gift Giving ◽

Optimal Resource

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Performance evaluation of a health insurance in Nigeria using optimal resource use: health care providers perspectives

BMC Health Services Research ◽

10.1186/1472-6963-14-127 ◽

2014 ◽

Vol 14 (1) ◽

Cited By ~ 7

Author(s):

Shafiu Mohammed ◽

Aurélia Souares ◽

Justo Lorenzo Bermejo ◽

Rainer Sauerborn ◽

Hengjin Dong

Keyword(s):

Health Care ◽

Performance Evaluation ◽

Health Insurance ◽

Health Care Providers ◽

Resource Use ◽

Care Providers ◽

Optimal Resource

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Methodology of Optimal Resource Use in the Conditions of Market Relations Transformation

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.b7457.129219 ◽

2019 ◽

Vol 9 (2) ◽

pp. 4127-4132

Keyword(s):

Resource Use ◽

Agricultural Sector ◽

Meat Production ◽

Economic Stability ◽

Optimal Resource ◽

Market Relations

In the conditions of market relations transformation, it is important to develop a methodology of optimal resource use for the organizations of the agricultural sector of the economy, as well as for other industries. The urgent need for this is explained by the fact that modern organizations and enterprises are in the conditions of optimizing resource use to maintain economic stability and ensure the growth of profitability (works, services). In this connection, the article considers the main directions of optimizing the resource use on the example of organizations of meat production sub-complex.

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Complex Assessment of Resource-Saving Solutions Efficiency for Residential Buildings Based on Sustainability Theory

Materials Science Forum ◽

10.4028/www.scientific.net/msf.931.870 ◽

2018 ◽

Vol 931 ◽

pp. 870-876 ◽

Cited By ~ 1

Author(s):

Svetlana G. Sheina ◽

Evgenia N. Minenko ◽

Katarina S. Sakovskaya

Keyword(s):

Life Cycle ◽

Resource Use ◽

Life Cycle Cost ◽

Housing Stock ◽

Residential Buildings ◽

Assessment Method ◽

Economic Effects ◽

Resource Saving ◽

Optimal Resource ◽

Sustainability Theory

This article addresses the issue of energy efficiency in the housing stock of Russian cities. It suggests that the improvement of energy and resource use in the residential houses during their life cycle will promote the transition of Russian cities on the way to sustainable future. The authors of the article present the new assessment method of efficiency the resource saving solutions in the housing stock. This method is based on evaluation of the ecological, environmental and economic effects of realization the resource saving solutions in residential buildings, taking into account the building’s life cycle cost. For this purpose, the authors suggest to use the integrated indicator of sustainability, achieved by the building, through the implementation of different resource saving solutions. The article provides the example of application of the proposed method for selecting the optimal resource saving measures among some different variants planned for realization during the overhaul of the building located in Rostov-on-Don.

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Factors associated with non-optimal resource utilization of air ambulance for interfacility transfer of injured patients

CJEM ◽

10.1017/cem.2019.475 ◽

2020 ◽

Vol 22 (S2) ◽

pp. S45-S54

Author(s):

Andrew Quirion ◽

Mahvareh Ahghari ◽

Brodie Nolan

Keyword(s):

Risk Factors ◽

Resource Utilization ◽

Resource Use ◽

Optimal Transport ◽

Clinical Status ◽

Trauma Patients ◽

Air Ambulance ◽

Timely Access ◽

Optimal Resource ◽

Injured Patients

ABSTRACTObjectiveTimely access to definitive care is associated with improved outcomes in trauma patients. The goal of this study is to identify patient, institutional and paramedic risk factors for non-optimal resource utilization for interfacility transfers of injured adult patients transported by air ambulance to a LTC.MethodsThis is a retrospective cohort study of adult emergent interfacility transports via Ornge with data collected on patient demographics, clinical status, sending facilities, transport details and paramedic qualifications. A logistic regression model was used to analyze data.Results1777 injured patients undergoing transport with Ornge were analyzed with 805 of these undergoing non-optimal transport. Patients who had an optimal resource use were found to be older and mechanically ventilated. Risk factors increasing odds of non-optimal transport included patients transported from a nursing station (OR 1.94), transport with primary or advanced care paramedics (OR 6.57 and 1.44, respectively) and transport between both 0800-1700 and 1700-0000 (OR 1.40 and 1.54, respectively). The median delay to arrival to receiving facility if a patient had a non-optimal resource use was 40 minutes.ConclusionsThree main risk factors were identified in this study. We believe that nursing stations as a sending facility and type of paramedics crew transporting patients resulted in non-optimal resource utilization primarily due to triage of lower acuity patients. However the timing of day is more likely to be a resource availability issue and something that can be further studied and potentially improved moving forward.

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