Energy Management Measurement Best Practices and Software Tools

2005 ◽  
Vol 102 (4) ◽  
pp. 47-58
Author(s):  
Peter Barhydt ◽  
Mark Menezes
2021 ◽  
Author(s):  
Kathryn Cowie ◽  
Asad Rahmatullah ◽  
Nicole Hardy ◽  
Karl Holub ◽  
Kevin Kallmes

BACKGROUND Systematic reviews (SRs) are central to evaluating therapies but have high costs in terms of both time and money. Many software tools exist to assist with SRs, but most tools do not support the full process, and transparency and replicability of SR depends on performing and presenting evidence according to established best practices. OBJECTIVE In order to provide a basis for comparing and selecting between software tools that support SR, we performed a feature-by-feature comparison of SR tools. METHODS We searched for SR tools by reviewing any such tool listed the Systematic Review Toolbox, previous reviews of SR tools, and qualitative Google searching. We included all SR tools that were currently functional, and require no coding and excluded reference managers, desktop applications, and statistical software. The list of features to assess was populated by combining all features assessed in four previous reviews of SR tools; we also added five features (Manual Addition, Screening Automation, Dual Extraction, Living review, Public outputs) that were independently noted as best practices or enhancements of transparency/replicability. Then, two reviewers assigned binary “present/absent” assessments to all SR tools with respect to all features, and a third reviewer adjudicated all disagreements. RESULTS Of 49 SR tools found, 27 were excluded, leaving 22 for assessment. Twenty-eight features were assessed across 6 classes, and the inter-observer agreement was 86.46%. DistillerSR, EPPI-Reviewer Web, and Nested Knowledge support the most features (24/28, 86%), followed by Covidence, SRDB.PRO, SysRev (20/28, 71%). Six tools support fewer than half of all features assessed: SyRF, Data Abstraction Assistant, SWIFT-review, SR-Accelerator, RobotReviewer, and COVID-NMA. Notably, only 9 of 22 tools (41%) support direct search, only four (18%) offer dual extraction, and only 9 (41%) offer living/updatable reviews. CONCLUSIONS DistillerSR, EPPI-Reviewer Web, and Nested Knowledge each offer a high density of SR-focused web-based tools. By transparent comparison and discussion regarding SR tool functionality, the medical community can both choose among existing software offerings and note the areas of growth needed, most notably in the support of living reviews.


2010 ◽  
Vol 14 (3) ◽  
pp. 613-623 ◽  
Author(s):  
Dubravka Jelic ◽  
Dusan Gordic ◽  
Milun Babic ◽  
Davor Koncalovic ◽  
Vanja Sustersic

Until recent times, energy management practices primarily consisted in replacing inefficient equipment and then using any number of methods to estimate obtained savings. Experience shows that positive effects of energy efficient improvements were decreased over time. There have been significant efforts over the last decade to define appropriate standards and best practices and implement the consistent energy management system to increase and maintain the energy savings. The knowledge gained from thousands of energy efficient projects is driving a transition from traditional tactical practice (one-time "build and forget" projects) to energy management strategies proposed and endorsed by a number of international organizations. The current status of internationally developed energy management standards, including an analysis of their shared features and differences is presented in this paper. The purpose of the analysis is to describe the current state of ?best practices? for this emerging area of energy efficiency policymaking in order to study the possibility of implementation of energy management standards in Serbia and to estimate the effects and the potential for energy saving that would be made by its implementation.


2018 ◽  
Vol 13 (3) ◽  
pp. 342-365 ◽  
Author(s):  
Joshua Goldsmith

Abstract This pilot study examines the recent phenomenon of tablet interpreting. Based on in-depth interviews with six practitioners, which were transcribed and analyzed inductively, the article presents an overview of software, tools, and technology that interpreters currently utilize in their work. Qualitative and quantitative results demonstrate regular, effective tablet use in various consecutive interpreting settings. Participants feel that these tools meet their needs and outstrip the functionalities offered by pen and paper in most contexts. This study compiles best practices for tablet interpreting, discusses their benefits and challenges, and describes features to consider when assessing new and existing tablets, applications, and styluses. The data underscore the need for training in this budding field, which represents a key area for future research and professional practice.


2016 ◽  
Vol 27 (4) ◽  
pp. 53 ◽  
Author(s):  
Alan Brent ◽  
Cebo Silinga ◽  
Nadia Sanetra

Pressure is mounting on the wine industry to consider energy management interventions to, inter alia, reduce energy consumption – to be more competitive, become more self-reliant, and to reduce the carbon footprint of the sector. This paper then summarises the process that was undertaken to develop an appropriate energy management guideline for the South African wine industry. It is based on a literature analysis of best practices elsewhere, and a number of case studies across different sizes of winery operations in South Africa. The positive outcomes from energy management interventions at these cases are demonstrated, but a number of challenges are also highlighted. Recommendations are made accordingly.


Author(s):  
Jose-Maria Carazo ◽  
I. Benavides ◽  
S. Marco ◽  
J.L. Carrascosa ◽  
E.L. Zapata

Obtaining the three-dimensional (3D) structure of negatively stained biological specimens at a resolution of, typically, 2 - 4 nm is becoming a relatively common practice in an increasing number of laboratories. A combination of new conceptual approaches, new software tools, and faster computers have made this situation possible. However, all these 3D reconstruction processes are quite computer intensive, and the middle term future is full of suggestions entailing an even greater need of computing power. Up to now all published 3D reconstructions in this field have been performed on conventional (sequential) computers, but it is a fact that new parallel computer architectures represent the potential of order-of-magnitude increases in computing power and should, therefore, be considered for their possible application in the most computing intensive tasks.We have studied both shared-memory-based computer architectures, like the BBN Butterfly, and local-memory-based architectures, mainly hypercubes implemented on transputers, where we have used the algorithmic mapping method proposed by Zapata el at. In this work we have developed the basic software tools needed to obtain a 3D reconstruction from non-crystalline specimens (“single particles”) using the so-called Random Conical Tilt Series Method. We start from a pair of images presenting the same field, first tilted (by ≃55°) and then untilted. It is then assumed that we can supply the system with the image of the particle we are looking for (ideally, a 2D average from a previous study) and with a matrix describing the geometrical relationships between the tilted and untilted fields (this step is now accomplished by interactively marking a few pairs of corresponding features in the two fields). From here on the 3D reconstruction process may be run automatically.


Author(s):  
Kristen Izaryk ◽  
Robin Edge ◽  
Dawn Lechwar

Purpose The purpose of this article is to explore and describe the approaches and specific assessment tools that speech-language pathologists are currently using to assess social communication disorders (SCDs) in children, in relation to current best practices. Method Ninety-four speech-language pathologists completed an online survey asking them to identify which of the following approaches they use to assess children with SCD: parent/teacher report, naturalistic observation, formal assessment, language sample analysis, interviews, semistructured tasks, and peer/self-report. Participants were also asked to identify specific assessment tools they use within each approach. Results Participants most commonly assess SCDs by combining interviews, naturalistic observation, language sampling, parent/teacher report, and formal assessment. Semistructured tasks and peer/self-report tools were less frequently utilized. Several established parent/teacher report and formal assessment tools were commonly identified for assessing SCDs. Most participants use an informal approach for interviews, language sampling, and naturalistic observations in their SCD assessment process. Conclusions Generally, participants follow best practices for assessing SCDs by combining several different approaches. Some considerations for future assessment are identified, including the use of established protocols in the place of informal approaches in order to make the assessment of SCDs more systematic. Future directions for research are discussed.


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