Journal articles: 'Metrics Program'

1

Volmar, Keith E., Shannon J. McCall, Ronald B. Schifman, Michael L. Talbert, Joseph A. Tworek, Keren I. Hulkower, Anthony J. Guidi, et al. "Professional Practice Evaluation for Pathologists: The Development, Life, and Death of the Evalumetrics Program." Archives of Pathology & Laboratory Medicine 141, no. 4 (April 1, 2017): 551–58. http://dx.doi.org/10.5858/arpa.2016-0275-cp.

Full text

Abstract:

Context.— In 2008, the Joint Commission (JC) implemented a standard mandating formal monitoring of physician professional performance as part of the process of granting and maintaining practice privileges. Objective.— To create a pathology-specific management tool to aid pathologists in constructing a professional practice-monitoring program, thereby meeting the JC mandate. Design.— A total of 105 College of American Pathologists (CAP)–defined metrics were created. Metrics were based on the job descriptions of pathologists' duties in the laboratory, and metric development was aided by experience from the Q-Probes and Q-Tracks programs. The program was offered in a Web-based format, allowing secure data entry, customization of metrics, and central data collection for future benchmarking. Results.— The program was live for 3 years, with 347 pathologists subscribed from 61 practices (median, 4 per institution; range, 1–35). Subscribers used 93 of the CAP-defined metrics and created 109 custom metrics. The median number of CAP-defined metrics used per pathologist was 5 (range, 1–43), and the median custom-defined metrics per pathologist was 2 (range, 1–5). Most frequently, 1 to 3 metrics were monitored (42.7%), with 20% each following 4 to 6 metrics, 5 to 9 metrics, or greater than 10 metrics. Anatomic pathology metrics were used more commonly than clinical pathology metrics. Owing to low registration, the program was discontinued in 2016. Conclusions.— Through careful vetting of metrics it was possible to develop a pathologist-specific management tool to address the JC mandate. While this initial product failed, valuable metrics were developed and implementation knowledge was gained that may be used to address new regulatory requirements for emerging value-based payment systems.

APA, Harvard, Vancouver, ISO, and other styles

2

Burgess, Hayley, Joan Kramer, Elizabeth Hofammann, and Mandelin Cooper. "Clinical Metrics for a Large Healthcare System’s Antimicrobial Management Program." Infection Control & Hospital Epidemiology 41, S1 (October 2020): s7. http://dx.doi.org/10.1017/ice.2020.478.

Full text

Abstract:

Background: Clinical metrics and outcomes for evaluation of antimicrobial management programs (AMP) are challenging and inconsistent throughout the United States. Here, we present the results of the development of clinical metrics to measure and trend AMP outcomes within 161 acute-care facilities affiliated with a large healthcare system. Methods: Key AMP metrics were implemented in 2018 using 2017 as baseline: use of fluoroquinolones in UTIs, dosing of vancomycin, de-escalation, and intravenous (IV)-to-oral conversion of targeted drugs. Fluoroquinolone (FQ) and UTI metric evaluated all inpatients who received at least 1 dose of a FQ based on barcoded medication administration (BCMA) data and urinary tract infections were based on cystitis ICD-10 coding. Vancomycin dosing metric evaluated inpatient vancomycin troughs within therapeutic range during the admission. De-escalation metric evaluated for patients on a broad-spectrum antibiotic with a positive culture and sensitivity to narrower antibiotics. The IV-to-oral ratio was used to monitor targeted medications. Nonantimicrobial medications appropriate for IV-to- oral conversion were included in the ratio. Goals were established for each metric using the 75th percentile and ranges for “at goal,” “close to goal,” and “not at goal” were established using green–yellow–red color coding. Metrics were monitored via a systemwide dashboard that included all affiliated facilities. Data were shared monthly to key stakeholders including physicians, pharmacists, and senior leadership. Results: From 2017 to the third quarter of 2019, the FQ and UTI metric decreased 55%. This reduction in the FQ usage in UTI metric correlated with a reduction of 26.7 days of therapy (DOT) per 1,000 days present for FQ and a 50% reduction in FQ DOT for all affiliated facilities. The vancomycin dosing metric improved 2.9% from 75.2% of patients to 78.1% of patients with at least 1 vancomycin trough within range during the admission, which represents ~2,000 more patients with dosing in the target range over baseline. The de-escalation metric improved by 7% overall from 2018 to the third quarter of 2019, which translates to ~1,600 more patients with therapy de-escalated. The IV-to-oral ratio metric improved 5.5%, which means that ~180,000 more oral dosages were administered. Conclusions: Implementing AMP program clinical metrics in a large health system positively influenced antimicrobial medication therapy management for patients. Monitoring of process metrics should be considered for all AMP programs to advance antibiotic stewardship.Funding: NoneDisclosures: None

APA, Harvard, Vancouver, ISO, and other styles

3

Ramchandani, Chander, and Carolyn Buford. "IMPLEMENTING A SUCCESSFUL METRICS PROGRAM." INCOSE International Symposium 6, no. 1 (July 1996): 1036–42. http://dx.doi.org/10.1002/j.2334-5837.1996.tb02118.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Dewland, Jason C., and Andrew See. "Notes on Operations: Patron Driven Acquisitions: Determining the Metrics for Success." Library Resources & Technical Services 59, no. 1 (January 23, 2015): 13. http://dx.doi.org/10.5860/lrts.59n1.13.

Full text

Abstract:

Patron Driven Acquisition (PDA) programs have been established in many libraries, but there is no agreed upon set of metrics to evaluate the programs’ performance. With that in mind, the University of Arizona (UA) formed the On-Demand Information Delivery (ODID) Metrics Team in January 2012 to establish metrics to evaluate their PDA program. This paper examines the results of the team’s findings and provides an extensive analysis of the purchases by Library of Congress (LC) classification, publisher, format, etc. The discussion includes an analysis of the process and challenges of measuring a PDA program based on UA’s experience. This paper also provides a list of key metrics that the authors argue that every library with a PDA program should monitor.

APA, Harvard, Vancouver, ISO, and other styles

5

Jabbar. P, Abdul, and S. Sarala. "Advanced Program Complexity Metrics and Measurement." International Journal of Computer Applications 23, no. 2 (June 30, 2011): 29–33. http://dx.doi.org/10.5120/2860-3679.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Zhang, Kang, and Narasimhaiah Gorla. "Locality metrics and program physical structures." Journal of Systems and Software 54, no. 2 (October 2000): 159–66. http://dx.doi.org/10.1016/s0164-1212(00)00059-5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Hyatt, Lawrence E., and Linda H. Rosenberg. "Software metrics program for risk assessment." Acta Astronautica 40, no. 2-8 (January 1997): 223–33. http://dx.doi.org/10.1016/s0094-5765(97)00148-3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Buckley, F. J. "Standards-establishing a standard metrics program." Computer 23, no. 6 (June 1990): 85–86. http://dx.doi.org/10.1109/2.55506.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Fenick, S. "Implementing management metrics: an Army program." IEEE Software 7, no. 2 (March 1990): 65–72. http://dx.doi.org/10.1109/52.50775.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Lynn, Marilyn, Douglas Bronson, and William Gunnar. "The impact of benchmarking operating room efficiency within the Veterans Health Administration." International Journal of Healthcare 5, no. 1 (October 28, 2018): 8. http://dx.doi.org/10.5430/ijh.v5n1p8.

Full text

Abstract:

Purpose: The Department of Veterans Affairs (VA) provides surgical care and services through a network of Veterans Health Administration (VHA) Surgical Programs. This study examined the impact of benchmarking on improvements in VHA surgery program operating room efficiency.Methods: The VA National Surgery Office (NSO) developed the operating room (OR) Efficiency Matrix with four common metrics that characterize OR processes. The OR Efficiency Matrix assigned a performance level to each VHA Surgery Program identified in the NSO Quarterly Report. The NSO Quarterly Report provided ongoing and regular feedback allowing VHA Surgery Programs to develop action plans and improve performance.Results: Beginning with the Fiscal Year (FY) 2013 Quarter (Q) 2 NSO Quarterly Report, the NSO has been reporting to VHA Surgery Programs on the OR Efficiency Matrix through several tables and figures in the NSO Quarterly Report. Overall, raw metric rates have improved nationally, with most improvements coming in the metrics of OR first time starts and surgical case cancellation.Conclusions: The NSO developed and implemented the OR Efficiency Matrix, representing four well recognized metrics, to assess, track, and report OR efficiency at 137 VHA Surgery Programs. This internal benchmarking process and data reporting was associated with sustainable improvements in OR efficiency over time.

APA, Harvard, Vancouver, ISO, and other styles

11

Amara, Dalila Amara, and Latifa Ben Arfa Rabai. "Towards a New Semantic Metric for Error Detection Based on Program State Redundancy." International Journal of Systems and Service-Oriented Engineering 11, no. 2 (July 2021): 1–23. http://dx.doi.org/10.4018/ijssoe.2021070101.

Full text

Abstract:

Fault tolerance techniques are generally based around a common concept that is redundancy whose measurement is required. A suite of four semantic metrics is proposed to assess program redundancy and reflect their ability to tolerate faults. Literature shows that one of these metrics, namely state redundancy, is limited to compute program redundancy only in their initial and final states and ignores their internal states. Consequently, the authors focus in this paper to overcome this shortcoming by proposing a new redundancy-based semantic metric that computes the redundancy of the different program states including internal ones. The empirical study they perform shows that the proposed metric is a measure of program redundancy in one side and is an error detection indicator in another side. Moreover, they demonstrate that it is more accurate than the basic state redundancy metric in detecting masked errors. It is useful for testers to indicate if a tested program is error-free and to pinpoint the presence of masked errors even if the final states are equal to the expected ones.

APA, Harvard, Vancouver, ISO, and other styles

12

N. Robillard, Pierre, and Germinal Boloix. "The interconnectivity metrics: A new metric showing how a program is organized." Journal of Systems and Software 10, no. 1 (July 1989): 29–39. http://dx.doi.org/10.1016/0164-1212(89)90060-5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

FURUYAMA, TSUNEO, YOSHIO ARAI, and KAZUHIKO IIO. "METRICS FOR MEASURING THE EFFECT OF MENTAL STRESS ON FAULT GENERATION DURING SOFTWARE DEVELOPMENT." International Journal of Reliability, Quality and Safety Engineering 01, no. 02 (June 1994): 257–75. http://dx.doi.org/10.1142/s0218539394000192.

Full text

Abstract:

The effects of mental stress on fault-generation are quantitatively determined through a controlled experiment. Two teams develop the same software program under the same conditions, except for mental stress. One team is mentally stressed during the functional design phase, while the other one is not. The degree of stress is measured by two types of metrics: “inner metrics” and “outer metrics”. The inner metrics, which measure the degree of stress, show that the “stressed team” generates more faults than the “nonstressed team”. Among the inner metrics, the “schedule pressure” and “workload” metrics are the most effective for predicting fault generation. Among the outer metrics, the fatigue meter value is related to all inner metrics and is therefore useful for verifying the inner metric values.

APA, Harvard, Vancouver, ISO, and other styles

14

Leafblad, Nels, Dirk Larson, Glenn S. Fleisig, Stan Conte, Stephen Fealy, Joshua Dines, John D’Angelo, and Christopher L. Camp. "Variability in Baseball Throwing Metrics During A Structured Long-toss Program: Does One Size Fit All?" Orthopaedic Journal of Sports Medicine 7, no. 7_suppl5 (July 2019): 2325967119S0039. http://dx.doi.org/10.1177/2325967119s00394.

Full text

Abstract:

Objectives: The variability of throwing metrics, particularly elbow torque and ball velocity, during structured long-toss programs is yet to be fully elucidated. The primary aims of this study were to assess various throwing metrics through a structured long-toss program using wearable technology and to quantify the intra and inter thrower variability of these metrics at each stage of throwing. Methods: This was a descriptive laboratory study in which 60 high school and collegiate pitchers participated in a predetermined, structured, progressive long-toss program. All players wore a motusBASEBALL sleeve (Motus Global, Inc.; Rockville Centre, NY), which measured arm slot, arm velocity, shoulder rotation, and elbow varus torque. Radar guns were used to measure ball velocity. These metrics were compared within and between all pitchers at each of the following throwing distances: 90 ft, 120 ft, 150 ft, 180 ft, and maximum effort mound pitching. Intra- and inter- thrower reliabilities were calculated for each throwing metric at every stage of the program. Excellent intra-thrower reliability was defined by an Intra-class coefficient (ICC) >0.750. Acceptable inter-thrower reliability was defined by a Coefficient of Variation (CV) <5%. Results: Ball velocity significantly changed at each progressive throwing distance, but this did not consistently correlate with an increase in elbow torque. Pitching from the mound did not place more torque on the elbow than throwing from 120 ft and beyond. Intra-thrower reliability was excellent throughout the progressive long-toss program for each throwing metric. Ninety-one percent of throwers had acceptable inter-thrower reliability for ball velocity, whereas only 79% of throwers had acceptable inter-thrower reliability for elbow torque. Conclusion: Based on trends in elbow torque, it may be practical to incorporate pitching from the mound earlier in the program (once a player is comfortable throwing from 120 ft). Ball velocity and elbow torque do not necessarily correlate with one another, so a degree of caution should be exercised when using radar guns to estimate elbow torque. Given the variability in elbow torque between throwers, some athletes would likely benefit from an individualized throwing program.

APA, Harvard, Vancouver, ISO, and other styles

15

Dubbs, Alexander J., Brad A. Seiler, and Marcelo O. Magnasco. "A Fast ℒp Spike Alignment Metric." Neural Computation 22, no. 11 (November 2010): 2785–808. http://dx.doi.org/10.1162/neco_a_00026.

Full text

Abstract:

The metrization of the space of neural responses is an ongoing research program seeking to find natural ways to describe, in geometrical terms, the sets of possible activities in the brain. One component of this program is spike metrics—notions of distance between two spike trains recorded from a neuron. Alignment spike metrics work by identifying “equivalent” spikes in both trains. We present an alignment spike metric having [Formula: see text] underlying geometrical structure; the [Formula: see text] version is Euclidean and is suitable for further embedding in Euclidean spaces by multidimensional scaling methods or related procedures. We show how to implement a fast algorithm for the computation of this metric based on bipartite graph matching theory.

APA, Harvard, Vancouver, ISO, and other styles

16

Sandu, Ionut Andrei, and Alexandru Salceanu. "New Approach on the Agile Cycles Containment Effectiveness Metrics in Automotive SW Development." ACTA IMEKO 7, no. 4 (January 9, 2019): 3. http://dx.doi.org/10.21014/acta_imeko.v7i4.564.

Full text

Abstract:

In an ideal Agile Development Team, defects should not exist. But in reality and especially in Automotive Agile Software Development, we need to have a mechanism for defects handling and tracking to closure. In this paper we describe the benefits and principles for measuring the defects handling metrics in automotive programs and organizations which adopted Agile SW Development. We are presenting the Iteration Containment Effectiveness, Program Increment Containment Effectiveness and Defect Debt Trend metrics. The acquired advantages are demonstrated by a detailed example of real application on how to measure the classical Phase Containment Effectiveness metric on Iteration (Sprint) and Program Increment (Scum of Scrums / Scaled Agile) Level. This paper is an extended version of the original contribution to the IMEKO TC 4 2017 symposium in Iasi, Romania.

APA, Harvard, Vancouver, ISO, and other styles

17

Devaraj, Susan M., Bonny Rockette-Wagner, Rachel G. Miller, Vincent C. Arena, Jenna M. Napoleone, Molly B. Conroy, and Andrea M. Kriska. "The Impact of a Yearlong Diabetes Prevention Program-Based Lifestyle Intervention on Cardiovascular Health Metrics." Journal of Primary Care & Community Health 12 (January 2021): 215013272110298. http://dx.doi.org/10.1177/21501327211029816.

Full text

Abstract:

Introduction The American Heart Association created “Life’s Simple Seven” metrics to estimate progress toward improving US cardiovascular health in a standardized manner. Given the widespread use of federally funded Diabetes Prevention Program (DPP)-based lifestyle interventions such as the Group Lifestyle Balance (DPP-GLB), evaluation of change in health metrics within such a program is of national interest. This study examined change in cardiovascular health metric scores during the course of a yearlong DPP-GLB intervention. Methods Data were combined from 2 similar randomized trials offering a community based DPP-GLB lifestyle intervention to overweight/obese individuals with prediabetes and/or metabolic syndrome. Pre/post lifestyle intervention participation changes in 5 of the 7 cardiovascular health metrics were examined at 6 and 12 months (BMI, blood pressure, total cholesterol, fasting plasma glucose, physical activity). Smoking was rare and diet was not measured. Results Among 305 participants with complete data (81.8% of 373 eligible adults), significant improvements were demonstrated in all 5 risk factors measured continuously at 6 and 12 months. There were significant positive shifts in the “ideal” and “total” metric scores at both time points. Also noted were beneficial shifts in the proportion of participants across categories for BMI, activity, and blood pressure. Conclusion AHA-metrics could have clinical utility in estimating an individual’s cardiovascular health status and in capturing improvement in cardiometabolic/behavioral risk factors resulting from participation in a community-based translation of the DPP lifestyle intervention.

APA, Harvard, Vancouver, ISO, and other styles

18

Brown, Marilyn A. "Performance metrics for a technology commercialisation program." International Journal of Technology Management 13, no. 3 (1997): 229. http://dx.doi.org/10.1504/ijtm.1997.001661.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Kilpi, T. "Implementing a software metrics program at Nokia." IEEE Software 18, no. 6 (2001): 72–77. http://dx.doi.org/10.1109/52.965808.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Joseph, M. "Software metrics: Establishing a company-wide program." Information and Software Technology 30, no. 1 (January 1988): 58. http://dx.doi.org/10.1016/0950-5849(88)90108-5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Veiga, Daniela Francescato, and Lydia Masako Ferreira. "METRICS DEVELOPMENT FOR PATENTS." Revista do Colégio Brasileiro de Cirurgiões 42, suppl 1 (2015): 34–36. http://dx.doi.org/10.1590/0100-69912015s01013.

Full text

Abstract:

Objective: To develop a proposal for metrics for patents to be applied in assessing the postgraduate programs of Medicine III - Capes. Methods: From the reading and analysis of the 2013 area documents of all the 48 areas of Capes, a proposal for metrics for patents was developed to be applied in Medicine III programs. Results: Except for the areas Biotechnology, Food Science, Biological Sciences III, Physical Education, Engineering I, III and IV and Interdisciplinary, most areas do not adopt a scoring system for patents. The proposal developed was based on the criteria of Biotechnology, with adaptations. In general, it will be valued, in ascending order, the deposit, the granting and licensing/production. It will also be assigned higher scores to patents registered abroad and whenever there is a participation of students. Conclusion: This proposal can be applied to the item Intellectual Production of the evaluation form, in subsection Technical Production/Patents. The percentage of 10% for academic programs and 40% for Masters Professionals should be maintained. The program will be scored as Very Good when it reaches 400 points or over; Good, between 200 and 399 points; Regular, between 71 and 199 points; Weak up to 70 points; Insufficient, no punctuation.

APA, Harvard, Vancouver, ISO, and other styles

22

Van Parys, Jacob, Michael P. Stevens, Leticia R. Moczygemba, and Amy L. Pakyz. "Antimicrobial Stewardship Program Members’ Perspectives on Program Goals and National Metrics." Clinical Therapeutics 38, no. 8 (August 2016): 1914–19. http://dx.doi.org/10.1016/j.clinthera.2016.06.008.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Grimm, Marie. "Metrics and Equivalence in Conservation Banking." Land 10, no. 6 (May 27, 2021): 565. http://dx.doi.org/10.3390/land10060565.

Full text

Abstract:

Offsets are increasingly used to compensate for unavoidable development impacts on species and habitats. Many offset programs pursue no net loss, but research on the success of these programs is lacking, including research on conservation banking’s success in conserving protected species under the US Endangered Species Act. This article provides a case study analysis of two conservation banks in the state of California, comparing the conservation gains provided by banks with the losses from development impacts. It provides an analysis of credits and metrics to determine whether the gains are equal to the losses in terms of type, condition, and amount. Results do show that the gains exceed the losses in terms of acreage. However, the program uses indirect metrics (acreage), and the equivalence of the losses and gains, besides habitat type and size, is not reflected. Banks provide a baseline in their documentation and conduct monitoring of species abundance and habitat quality, but they do not use it to measure additional conservation gains. More detailed metrics and transparent indices to certify the acres in production could allow for a quantification of conservation benefits and an evaluation of program success. However, selecting standardized metrics is challenging because they need to be species-specific to reflect the goal of species recovery, and still be operational in practice.

APA, Harvard, Vancouver, ISO, and other styles

24

COUNSELL, S., T. HALL, and D. BOWES. "A THEORETICAL AND EMPIRICAL ANALYSIS OF THREE SLICE-BASED METRICS FOR COHESION." International Journal of Software Engineering and Knowledge Engineering 20, no. 05 (August 2010): 609–36. http://dx.doi.org/10.1142/s0218194010004888.

Full text

Abstract:

Sound empirical research suggests that we should analyze software metrics from a theoretical and practical perspective. This paper describes the result of an investigation into the respective merits of two cohesion-based metrics for program slicing. The Tightness and Overlap metrics were those originally proposed by Weiser for the procedural paradigm. We compare and contrast these two metrics with a third metric for the OO paradigm first proposed by Counsell et al. based on Hamming Distance and based on a matrix-based notation. We theoretically validated the three metrics using the properties of Kitchenham and then empirically validated the same three metrics; some revealing properties of the metrics were found as a result. In particular, that the OO-based metric was the most stable of the three; module length was not a confounding factor for the Hamming Distance-based metric; it was however for the two slice-based metrics supporting previous work by Meyers and Binkley. The number of module slices however, was found to be an even stronger influence on the values of the two slice-based metrics, whose near perfect correlation with each other suggests that they may be measuring the same software attribute. We calculated and then compared the three metrics using first, a set of manufactured, pre-determined modules as a preliminary analysis and second, approximately nine thousand functions from the modules of multiple versions of the Barcode system, used previously by Meyers and Binkley in their empirical study. The over-arching message of the research is that a combination of theoretical and empirical analysis can help significantly in comparing the viability and indeed choice of a metric or set of metrics. More specifically, although cohesion is a subjective measure, there are certain properties of a metric that are less desirable than others and it is these 'relative' features that distinguish metrics, make their comparison possible and their value more evident.

APA, Harvard, Vancouver, ISO, and other styles

25

Ahmed, Irfan, and Arif Bhatti. "Design and Implementation of Performance Metrics for Evaluation of Assessments Data." International Journal of Evaluation and Research in Education (IJERE) 5, no. 3 (September 1, 2016): 235. http://dx.doi.org/10.11591/ijere.v5i3.4545.

Full text

Abstract:

Evocative evaluation of assessment data is essential to quantify the achievements at course and program levels. The objective of this paper is to design performance metrics and respective formulas to quantitatively evaluate the achievement of set objectives and expected outcomes at the course levels for program accreditation. Even though assessment processes for accreditation are well documented but existence of an evaluation process is assumed. This work provides performance metrics such as attainment, student achievement, and x-th percentile for the evaluation of assessment data at course and program level. Then, a sample course data and uniformly distributed synthetic data are used to analyze the results from designed metrics. The primary findings of this work are twofold: (i) analysis with sample course assessment data reveals that qualitative mapping between marks obtained in assessments to the defined outcomes is essential for meaningful results, (ii) analysis with synthetic data shows that higher values of one metric does not imply higher values of the other metrics and they depend upon the obtained marks distribution. In particular, for uniformly distributed marks, achievement < attainment for meanOfUniformDistr. < averageMarks < passingT hreshold(α). Authors hope that the articulated description of evaluation formulas will help convergence to high quality standard in evaluation process.

APA, Harvard, Vancouver, ISO, and other styles

26

Monsees, Elizabeth, Elizabeth Monsees, Ann Wirtz, Angela Myers, Angela Myers, Alaina Burns, Chris Day, et al. "1052. Antimicrobial Stewardship: On Board with Lean Daily Management System." Open Forum Infectious Diseases 6, Supplement_2 (October 2019): S371. http://dx.doi.org/10.1093/ofid/ofz360.916.

Full text

Abstract:

Abstract Background Limited guidance exists on how to design and measure the efficiency and effectiveness of an antimicrobial stewardship program (ASP). Our established ASP sought to broaden interprofessional accountability and enhance our programmatic efficiency by employing Lean Daily Management System (DMS) procedures. Methods To improve ASP communication, a visual and systematic approach to identify, address, and resolve ASP projects while quantifying nontraditional metrics measuring the efficiency and effectiveness was developed. Through shared discussions, an interdisciplinary group of stakeholders produced the following deliverables: (a) established shared programming goals/metrics; (b) improved prioritization methods and project tracking through completion; (c) developed readiness and metric boards to display achievements, current activity, and metrics; (d) identified programming threats and strategies to strengthen our provided services. Results At 6 months following DMS adoption, our ASP has disbanded monthly meetings in lieu of weekly, 15 minute huddles utilizing the readiness and metric boards. We achieved consistent and interprofessional representation where each member is accountable for leading huddles, providing reports, and owning projects. Using a stoplight color system to indicate status, potential ASP influencers are tracked and reported: clinical workload/demands, organizational awareness, equipment/supplies, staffing, project updates, and announcements. The visual identification allows the team to address “quick hits” or escalate resource allocation to solve “big issues” (figure). Program metrics are codified under the domains of delivery, people, quality, safety, and financial stewardship. Administrative leadership has attended huddles and provided positive and constructive feedback to foster a process of continuous improvement. Conclusion Integration of Lean DMS huddles provides a collaborative, interactive and interdisciplinary approach to enhance shared awareness and to broaden the reach and efficiency of our ASP. With project tracking mechanisms in place, our team is refining our problem-solving abilities to ensure a congruent plan between issues raised and established program metrics. Disclosures All authors: No reported disclosures.

APA, Harvard, Vancouver, ISO, and other styles

27

Daudelin, Denise H., Laura E. Peterson, Lisa C. Welch, Redonna Chandler, Mridu Pandey, Farzad Noubary, Philip L. Lee, and Harry P. Selker. "Implementing Common Metrics across the NIH Clinical and Translational Science Awards (CTSA) consortium." Journal of Clinical and Translational Science 4, no. 1 (November 26, 2019): 16–21. http://dx.doi.org/10.1017/cts.2019.425.

Full text

Abstract:

AbstractThe Clinical and Translational Science Award (CTSA) Consortium and the National Center for Advancing Translational Science (NCATS) undertook a Common Metrics Initiative to improve research processes across the national CTSA Consortium. This was implemented by Tufts Clinical and Translational Science Institute at the 64 CTSA academic medical centers. Three metrics were collaboratively developed by NCATS staff, CTSA Consortium teams, and outside consultants for Institutional Review Board Review Duration, Careers in Clinical and Translational Research, and Pilot Award Publications and Subsequent Funding. The implementation program included training on the metric operational guidelines, data collection, data reporting system, and performance improvement framework. The implementation team provided small-group coaching and technical assistance. Collaborative learning sessions, driver diagrams, and change packages were used to disseminate best and promising practices. After 14 weeks, 84% of hubs had produced a value for one metric and about half had produced an initial improvement plan. Overall, hubs reported that the implementation activities facilitated their Common Metrics performance improvement process. Experiences implementing the first three metrics can inform future directions of the Common Metrics Initiative and other research groups implementing standardized metrics and performance improvement processes, potentially including other National Institutes of Health institutes and centers.

APA, Harvard, Vancouver, ISO, and other styles

28

PAUL, RAYMOND A. "METRICS-GUIDED REUSE." International Journal on Artificial Intelligence Tools 05, no. 01n02 (June 1996): 155–66. http://dx.doi.org/10.1142/s0218213096000110.

Full text

Abstract:

This paper presents a discussion of significant issues in selection of a standardized set of the “best” software metrics to support a software reuse program. This discussion illustrates the difficulty in selection of a standardized set of reuse metrics because the “best” reuse metrics are determined by unique characteristics of each reuse application. An example of the selection of a single set of reuse metrics for a specific management situation is also presented.

APA, Harvard, Vancouver, ISO, and other styles

29

Trosman, Julia Rachel, Christine B. Weldon, Della F. Makower, Bruce D. Rapkin, Claudia Beth Perez, Swati Kulkarni, Cathleen M. Schaeffer, et al. "4R Care Delivery Program results: Impact of implementation metrics on patient self-management and 4R usefulness." Journal of Clinical Oncology 38, no. 29_suppl (October 10, 2020): 225. http://dx.doi.org/10.1200/jco.2020.38.29_suppl.225.

Full text

Abstract:

225 Background: We previously proposed a 4R care delivery model that facilitates teamwork and patient self-management (pSM) in cancer care (NCI ASCO Teams Project, Trosman JOP 2016). 4R (Right Info / Care / Patient / Time) enables patient and care team to manage complex care with an innovative 4R Care Sequence. We tested 4R at 10 US sites in a stepwise mode 2016-2019. Methods: Step 1 included 1 academic and 2 nonacademic sites; step 2 included 3 academic and 4 nonacademic sites. Patients with stage 0-III breast cancer received 4R Sequences (4R Cohort). We surveyed 4R and historical control cohorts of patients treated at the same sites pre-4R. We assessed the impact of implementation metrics on usefulness of 4R to the 4R cohort and on improvement of pSM in 4R cohort vs historical control cohort. Results: Survey response rates: 63%, 422/670 (4R cohort); 47%, 466/992 (control cohort). Three of the five implementation metrics significantly impacted patient usefulness of 4R (Table). Patients at step 2 sites; sites with a systematic care process; and sites with small practices reported significantly higher 4R usefulness than patients in the comparison subgroup within respective metrics. 4R usefulness was not affected by practice setting or availability of patient navigators. pSM was significantly improved between control and 4R cohorts along all implementation metrics (p < .001), but the magnitude of incremental improvement between comparison subgroups varied across metrics (Table), with the largest increment associated with the program step metric. Conclusions: 4R is useful to patients across settings, with or without patient navigators. Stepwise design is effective in increasing 4R impact overtime. Future 4R Program will investigate an expanded array of implementation metrics and their influence on 4R outcomes. [Table: see text]

APA, Harvard, Vancouver, ISO, and other styles

30

Trosman, Julia Rachel, Christine B. Weldon, Della F. Makower, Bruce D. Rapkin, Claudia B. Perez, Swati Kulkarni, Cathleen M. Schaeffer, et al. "4R Care Delivery Program results: Impact of implementation metrics on patient self-management and 4R usefulness." Journal of Clinical Oncology 38, no. 15_suppl (May 20, 2020): e14039-e14039. http://dx.doi.org/10.1200/jco.2020.38.15_suppl.e14039.

Full text

Abstract:

e14039 Background: We previously proposed a 4R care delivery model that facilitates teamwork and patient self-management (pSM) in cancer care (NCI ASCO Teams Project, Trosman JOP 2016). 4R (Right Info / Care / Patient / Time) enables patient and care team to manage complex care with an innovative 4R Care Sequence. We tested 4R at 10 US sites in a stepwise mode 2016-2019. Methods: Step 1 included 1 academic and 2 nonacademic sites; step 2 included 3 academic and 4 nonacademic sites. Patients with stage 0-III breast cancer received 4R Sequences (4R Cohort). We surveyed 4R and historical control cohorts of patients treated at the same sites pre-4R. We assessed the impact of implementation metrics on usefulness of 4R to the 4R cohort and on improvement of pSM in 4R cohort vs historical control cohort. Results: Survey response rates: 63%, 422/670 (4R cohort); 47%, 466/992 (control cohort). Three of the five implementation metrics significantly impacted patient usefulness of 4R (Table). Patients at step 2 sites; sites with a systematic care process; and sites with small practices reported significantly higher 4R usefulness than patients in the comparison subgroup within respective metrics. 4R usefulness was not affected by practice setting or availability of patient navigators. pSM was significantly improved between control and 4R cohorts along all implementation metrics (p < .001), but the magnitude of incremental improvement between comparison subgroups varied across metrics (Table), with the largest increment associated with the program step metric. Conclusions: 4R is useful to patients across settings, with or without patient navigators. Stepwise design is effective in increasing 4R impact overtime. Future 4R Program will investigate an expanded array of implementation metrics and their influence on 4R outcomes. [Table: see text]

APA, Harvard, Vancouver, ISO, and other styles

31

J. Perrenoud, Anthony, Brian C. Lines, and Kenneth T. Sullivan. "Measuring risk management performance within a capital program." Journal of Facilities Management 12, no. 2 (April 29, 2014): 158–71. http://dx.doi.org/10.1108/jfm-03-2013-0018.

Full text

Abstract:

Purpose – The purpose of this study is to describe how the University of Minnesota's capital program implemented risk management metrics on 266 construction projects and to present the results of the risk metrics. Design/methodology/approach – The implementation of Weekly Risk Reports (WRR) on the university construction projects captured information on the internal and external efforts related to minimizing project risks. The report implemented captured project risks, management plans, cost changes and schedule delays. Findings – Findings reveal that the university was able to effectively capture project risk metrics through the WRR. The risk metrics identified the risks categories that impacted the 266 project costs and schedules. Through these findings, the university has a better understanding of how their internal stakeholders create the greatest risk to impacting the project cost and schedule. This paper presents the risk impacts collected from the 266 projects. Research limitations/implications – A complete analysis of the risk metrics was limited in this research due to the extensive measurements collected. Future analysis will provide additional findings from the risk information. Originality/value – The paper presents both the implementation and the risk management measurements used within a capital program of a major university to provide understanding of the common risks that are involved with capital projects.

APA, Harvard, Vancouver, ISO, and other styles

32

V, Alagappan. "Leveraging Defect Prediction Metrics in Software Program Management." International Journal of Computer Applications 50, no. 20 (July 31, 2012): 23–26. http://dx.doi.org/10.5120/7920-1224.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Iversen, Jakob, and Lars Mathiassen. "Cultivation and engineering of a software metrics program." Information Systems Journal 13, no. 1 (January 2003): 3–19. http://dx.doi.org/10.1046/j.1365-2575.2003.00136.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Pfleeger, S. L. "Lessons learned in building a corporate metrics program." IEEE Software 10, no. 3 (May 1993): 67–74. http://dx.doi.org/10.1109/52.210606.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Beranič , Tina, Vili Podgorelec, and Marjan Heričko. "Towards a Reliable Identification of Deficient Code with a Combination of Software Metrics." Applied Sciences 8, no. 10 (October 12, 2018): 1902. http://dx.doi.org/10.3390/app8101902.

Full text

Abstract:

Different challenges arise while detecting deficient software source code. Usually a large number of potentially problematic entities are identified when an individual software metric or individual quality aspect is used for the identification of deficient program entities. Additionally, a lot of these entities quite often turn out to be false positives, i.e., the metrics indicate poor quality whereas experienced developers do not consider program entities as problematic. The number of entities identified as potentially deficient does not decrease significantly when the identification of deficient entities is carried out by applying code smell detection rules. Moreover, the intersection of entities identified as allegedly deficient among different code smell detection tools is small, which suggests that the implementation of code smell detection rules are not consistent and uniform. To address these challenges, we present a novel approach for identifying deficient entities that is based on applying the majority function on the combination of software metrics. Program entities are assessed according to selected quality aspects that are evaluated with a set of software metrics and corresponding threshold values derived from benchmark data, considering the statistical distributions of software metrics values. The proposed approach was implemented and validated on projects developed in Java, C++ and C#. The validation of the proposed approach was done with expert judgment, where software developers and architects with multiple years of experiences assessed the quality of the software classes. Using a combination of software metrics as the criteria for the identification of deficient source code, the number of potentially deficient object-oriented program entities proved to be reduced. The results show the correctness of quality ratings determined by the proposed identification approach, and most importantly, confirm the absence of false positive entities.

APA, Harvard, Vancouver, ISO, and other styles

36

Boubekri, Mohamed, and Jaewook Lee. "A COMPARISON OF FOUR DAYLIGHTING METRICS IN ASSESSING THE DAYLIGHTING PERFORMANCE OF THREE SHADING SYSTEMS." Journal of Green Building 12, no. 3 (September 2017): 39–53. http://dx.doi.org/10.3992/1943-4618.12.3.39.

Full text

Abstract:

The assessment of the daylighting performance of a design solution is a complex task due to the changing nature of daylight. A few quantitative metrics are available to designers to assess such a performance, among them are the mean hourly illuminance (MHI), the daylight factor (DF), the daylight autonomy (DA) and the useful daylight illuminance (UDI). Each of these metrics has a purpose, a set of criteria and limitations that affect the outcome of the evaluation. When to use one metric instead of another depends largely on the design goals to be achieved. Using Design Iterate Validate Adapt (DIVA) daylighting simulation program, we set out to examine the performance behavior of these four metrics with the changing dimensions of three shading devices: a horizontal overhang, a horizontal louver system, and a vertical fin system, and compare their performance behavior as the orientation changes of the window to which these devices are attached. The context is a typical classroom of a prototypical elementary school. Our results indicate that not all four metrics behave similarly as we vary the size of each shading device and as orientation changes. The lesson learned is that not all daylighting metrics lead to the same conclusions and that it is important to use the metric that corresponds to the specific goals and objectives of the design and of the daylighting solution. The UDI is the metric that leads to outcomes most different than the other three metrics investigated in this paper.

APA, Harvard, Vancouver, ISO, and other styles

37

Melugin, Heath P., Dirk R. Larson, Glenn S. Fleisig, Stan Conte, Stephen A. Fealy, Joshua S. Dines, John D’Angelo, and Christopher L. Camp. "Baseball Pitchers’ Perceived Effort Does Not Match Actual Measured Effort During a Structured Long-Toss Throwing Program." American Journal of Sports Medicine 47, no. 8 (May 31, 2019): 1949–54. http://dx.doi.org/10.1177/0363546519850560.

Full text

Abstract:

Background: During rehabilitation throwing programs, baseball players are commonly asked to throw at reduced levels of effort (ie, 50% effort, 75% effort, etc) to moderate stress to healing tissues. It is currently unknown how changes in players’ perceived exertion compares with changes in actual exertion during structured long-toss programs. Purpose: To determine whether decreased effort correlates with decreased throwing metrics, whether metrics decrease proportionally with reductions in perceived effort, and to quantify intrathrower variability. Study Design: Descriptive laboratory study. Methods: Sixty male high school and collegiate baseball pitchers participated in a structured throwing program. A motusBASEBALL sleeve was worn by all players, which measured elbow varus torque, arm velocity, arm slot, and shoulder rotation. Ball velocity was measured with a radar gun. Each pitcher threw 5 throws a distance of 120 ft with 3 efforts: maximum effort, 75% effort, and 50% effort. Throwing metrics were compared among the 3 levels of effort to see if each 25% decrease resulted in proportional decreases in elbow varus torque and ball velocity. Intrathrower variability was determined for each throwing metric at each degree of effort. Results: All throwing metrics decreased as players decreased their perceived effort ( P < .001). However, these observed decreases were much smaller in magnitude than the decreases in perceived effort. During the 75% effort throws, elbow varus torque was only reduced to 93% of maximum and velocity dropped to 86% of maximum. Similarly, for the 50% effort throws, elbow varus torque remained 87% of max effort torque, while velocity remained 78% of max. Intrathrower reliability was considered excellent for most metrics (intraclass correlation coefficient, >0.75). Conclusion: For every 25% decrease in perceived effort, elbow varus torque only decreased 7% and velocity only decreased 11%. Thus, when players throw at what they perceive to be reduced effort, their actual throwing metrics do not decrease at the same rate as their perceived exertion. Clinical Relevance: Measured effort decreased with decreasing perceived effort, but these were not proportional. This has significant implications for physical therapists, physicians, trainers, coaches, and athletes to understand and monitor elbow stress during the rehabilitation process.

APA, Harvard, Vancouver, ISO, and other styles

38

Ellis, Peter G., and Kathleen Lokay. "Impact of a decision support tool on quality measures." Journal of Clinical Oncology 31, no. 15_suppl (May 20, 2013): 6643. http://dx.doi.org/10.1200/jco.2013.31.15_suppl.6643.

Full text

Abstract:

6643 Background: UPMC CancerCenter received their ASCO QOPI certification after the Spring 2011 measurement period with a QOPI Certification Overall Quality Score of 78.2%. The results, however, demonstrated a number of metrics performing below QOPI mean scores. Physicians and staff performed an analysis of root causes for these underperforming metrics and identified a combination of steps to improve these metrics and the overall score. Methods: Interventions to ensure high capture of Core Metric #9 (staging within 30 days of diagnosis), #10 and #11(treatment intent and discussion with patient) were imbedded into the clinical pathways program (Via Oncology Pathways) used by the UPMC CancerCenter physicians beginning in February 2011. These data points were charted by physicians when utilizing the Via Pathways Portal and automatically displayed on the regimen order sets that are generated by that Portal. These order sets were used as official orders and therefore placed into the patient charts. Results: UPMC CancerCenter’s QOPI Certification Overall Quality Score improved by 7 percentage points to 85.39% for the Fall 2012 measurement period (as compared to Spring 2011). All of the 24 certification metrics for Fall 2012 were similar or improved as compared to Spring 2011. Core Metrics #9 and #10 improved by 18 and 22 percentage points, respectively Conclusions: Improvements in quality measures such as ASCO QOPI can be gained through targeted analysis of root cause and application of new interventions such as clinical pathways decision support. We feel that decision support tools such as pathways programs may be an important source of data for e-QOPI type programs and should be considered.

APA, Harvard, Vancouver, ISO, and other styles

39

Mehta, Nikhil, Sharon Oswald, and Anju Mehta. "Infosys Technologies: Improving Organizational Knowledge Flows." Journal of Information Technology 22, no. 4 (December 2007): 456–64. http://dx.doi.org/10.1057/palgrave.jit.2000115.

Full text

Abstract:

Knowledge is being discussed as one of the most important organizational resources. But these resources exist in specialized pockets dispersed across the organization, and dedicated knowledge management (KM) programs are required to improve their flow. However, high failure rates of such programs raise serious doubts about their ability to improve knowledge flows. This case traces the KM program of Infosys Technologies, Ltd – a Global Most Admired Knowledge Enterprise. The case describes how, in 1999, Infosys’ top management detected a severe lack of organizational knowledge flows while implementing a program aimed at continuously improving their core business processes. A more detailed examination exposed that the lack of knowledge flows stifled the effectiveness of their organizational structure and their business model. Alarmed by these critical findings, Infosys initiated their KM program. A five-stage knowledge maturity model (KMM) was conceptualized to aid KM implementation. With people, processes, and technology as the three pillars of Infosys’ KM program, KMM identified specific capabilities Infosys needed to develop in each of the five levels. Things worked fine till 2004 when Infosys began moving towards KMM Level 4, which required developing clear metrics to measure KM effectiveness, that is, improvements in knowledge flow. In the absence of such metrics, Infosys’ Board of Directors started questioning company's financial investment in the KM program. The CEO, who championed the KM program, knew that he faced two key challenges – to convince the Board of future revenue prospects of the KM program, and to identify metrics for assessing improvements in organizational knowledge flows.

APA, Harvard, Vancouver, ISO, and other styles

40

Drugescu, Cezar, and Rafael Etges. "Maximizing the Return on Investment on Information Security Programs: Program Governance and Metrics." Information Systems Security 15, no. 6 (December 2006): 30–40. http://dx.doi.org/10.1080/10658980601051482.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Levin, Jonathan C., and Jonathan Hron. "Automated Reporting of Trainee Metrics Using Electronic Clinical Systems." Journal of Graduate Medical Education 9, no. 3 (June 1, 2017): 361–65. http://dx.doi.org/10.4300/jgme-d-16-00469.1.

Full text

Abstract:

ABSTRACT Background The Accreditation Council for Graduate Medical Education has called for increased emphasis on reporting objective performance measures to trainees and programs. However, reporting of objective measures, including clinical volume, is largely omitted from training programs. Objective To use automated electronic medical systems at a tertiary pediatric care hospital to create a dashboard that reports objective trainee and program metrics, including clinical volume and diagnoses in a pediatrics residency. Methods We queried an enterprise data warehouse that aggregates data daily from multiple hospital systems to identify patient encounters during which senior pediatrics residents at Boston Children's Hospital had entered documentation over a 9-month period. From this query, we created a filterable dashboard to display clinical volume and diagnosis data by individual resident and in aggregate. Results A total of 44 of 45 senior residents (98%) in the program were included in analysis. We identified 12 198 patient encounters during which a senior pediatrics resident had entered documentation; these included a median of 332 inpatient encounters per resident, 122 emergency department encounters, and 84 outpatient encounters. The most common diagnoses stratified by clinical site were: inpatient – dehydration (median = 61); emergency department – long-term/current drug therapy (median = 16); and outpatient – encounter for immunization (median = 48). Conclusions We used electronic health record systems to generate performance dashboards for trainees in a pediatrics residency across different sites of care with reported volume by diagnosis. Our dashboards provide feedback to program leadership regarding individual and aggregate trainee experience and allow individual trainees to compare their clinical exposure to peers.

APA, Harvard, Vancouver, ISO, and other styles

42

Hanif, Iqbal, and Regita Fachri Septiani. "Ensemble Learning For Television Program Rating Prediction." Indonesian Journal of Statistics and Its Applications 5, no. 2 (June 30, 2021): 377–95. http://dx.doi.org/10.29244/ijsa.v5i2p377-395.

Full text

Abstract:

Rating is one of the most frequently used metrics in the television industry to evaluate television programs or channels. This research is an attempt to develop a prediction model of television program ratings using rating data gathered from UseeTV (interned-based television service from Telkom Indonesia). The machine learning methods (Random Forest and Extreme Gradient Boosting) were tried out utilizing a set of rating data from 20 television programs collected from January 2018 to August 2019 (train dataset) and evaluated using September 2019 rating data (test dataset). Research results show that Random Forest gives a better result than Extreme Gradient Boosting based on evaluation metrics: Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE). On the training dataset, prediction using Random Forest produced lower RMSE and MAE scores than Extreme Gradient Boosting in all programs, while on the testing dataset, Random Forest produced lower RMSE and MAE scores in 16 programs compared with Extreme Gradient Boosting. According to MAPE score, Random Forest produced more good quality prediction (4 programs in the training dataset, 16 programs in the testing dataset) than Extreme Gradient Boosting method (1 program in the training dataset, 12 programs in the testing dataset) both in training and testing dataset.

APA, Harvard, Vancouver, ISO, and other styles

43

Rice, Kim M., Brad Joseph, and Helen Kilduff-Rich. "The Ergonomics Process in a Large Industry: A Case Study." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 46, no. 13 (September 2002): 1196–200. http://dx.doi.org/10.1177/154193120204601340.

Full text

Abstract:

This study reviewed the ergonomics process at a large automotive manufacturing company. Since program inception in 1989, the Company and the UAW have been industry leaders in developing a participatory ergonomics program at the plant level. Every large US facility has a locally controlled and operated cross-functional ergonomics team. in the years following implementation (1997–2001), extensive program development and team training have been well established. During program maturation, the organization as a whole has seen significant reductions in lost time case rate for cases of ergonomic interest (14.6%/year) and has had a strong decreasing trend for severity rate for cases of ergonomic interest (39.5 days/year). The local level teams are evaluated on their adherence to the ergonomic program with the use of process metrics including internal audits, OSHA compliance, and intervention activity level. The jointly designed process was developed with the intent of reducing injury rates (outcome metrics). This paper will evaluate the correlation between the ergonomics program outcome metrics and the process metrics.

APA, Harvard, Vancouver, ISO, and other styles

44

변영조, 양영석, and 김명숙. "The Study of Metrics development for Entrepreneurial Program Effectiveness." Asia-Pacific Journal of Business Venturing and Entrepreneurship 9, no. 4 (August 2014): 77–85. http://dx.doi.org/10.16972/apjbve.9.4.201408.77.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Weissman, David, and Sean Morrison. "Using Metrics to Grow Your Palliative Care Program (527)." Journal of Pain and Symptom Management 39, no. 2 (February 2010): 419. http://dx.doi.org/10.1016/j.jpainsymman.2009.11.175.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

P, Radhika Raju, and Ananda Rao A. "A Metrics Suite for Variable CategorizationtTo Support Program Invariants." International Journal of Software Engineering & Applications 5, no. 5 (September 30, 2014): 65–83. http://dx.doi.org/10.5121/ijsea.2014.5505.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

MacLean, Meghan Graham, and Russell G. Congalton. "PolyFrag: a vector-based program for computing landscape metrics." GIScience & Remote Sensing 50, no. 6 (November 27, 2013): 591–603. http://dx.doi.org/10.1080/15481603.2013.856537.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Leafblad, Nels D., Dirk R. Larson, Glenn S. Fleisig, Stan Conte, Stephen A. Fealy, Joshua S. Dines, John D’Angelo, and Christopher L. Camp. "Variability in Baseball Throwing Metrics During a Structured Long-Toss Program: Does One Size Fit All or Should Programs Be Individualized?" Sports Health: A Multidisciplinary Approach 11, no. 6 (September 3, 2019): 535–42. http://dx.doi.org/10.1177/1941738119869945.

Full text

Abstract:

Background: The variability of throwing metrics, particularly elbow torque and ball velocity, during structured long-toss programs is unknown. Hypotheses: (1) Elbow torque and ball velocity would increase as throwers progressed through a structured long-toss program and (2) intrathrower reliability would be high while interthrower reliability would be variable. Study Design: Descriptive laboratory study. Level of Evidence: Level 3. Methods: Sixty healthy high school and collegiate pitchers participated in a structured long-toss program while wearing a validated inertial measurement unit, which measured arm slot, arm velocity, shoulder rotation, and elbow varus torque. Ball velocity was assessed by radar gun. These metrics were compared within and between all pitchers at 90, 120, 150, and 180 ft and maximum effort mound pitching. Intra- and interthrower reliabilities were calculated for each metric at every stage of the program. Results: Ball velocity significantly changed at each progressive throwing distance, but elbow torque did not. Pitching from the mound did not place more torque on the elbow than long-toss throwing from 120 ft and beyond. Intrathrower reliability was excellent (intraclass correlation coefficient >0.75) throughout the progressive long-toss program, especially on the mound. Ninety-one percent of throwers had acceptable interthrower reliability (coefficient of variation <5%) for ball velocity, whereas only 79% of throwers had acceptable interthrower reliability for elbow torque. Conclusion: Based on trends in elbow torque, it may be practical to incorporate pitching from the mound earlier in the program (once a player is comfortable throwing from 120 ft). Ball velocity and elbow torque do not necessarily correlate with one another, so a degree of caution should be exercised when using radar guns to estimate elbow torque. Given the variability in elbow torque between throwers, some athletes would likely benefit from an individualized throwing program. Clinical Relevance: Increased ball velocity does not necessarily equate to increased elbow torque in long-toss. Some individuals would likely benefit from individualized long-toss programs for rehabilitation.

APA, Harvard, Vancouver, ISO, and other styles

49

Teh, Soon Li, Lisa Brutcher, Bonnie Schonberg, and Kate Evans. "Eleven-year Correlation of Physical Fruit Texture Traits between Computerized Penetrometers and Sensory Assessment in an Apple Breeding Program." HortTechnology 30, no. 6 (December 2020): 719–24. http://dx.doi.org/10.21273/horttech04698-20.

Full text

Abstract:

Fruit texture is a major target of apple (Malus domestica) breeding programs due to its influence on consumer preference. This multitrait feature is typically rated using sensory assessment, which is subjective and prone to biases. Instrumental measurements have predominantly targeted firmness of the outer region of fruit cortex using industry standard Magness–Taylor-type penetrometers, while other metrics remain largely unused. Additionally, there have been limited reports on correlating sensory attributes with instrumental metrics on many diverse apple selections. This report is the first to correlate multiyear historical fruit texture information of instrumental metrics and sensory assessment in an apple breeding program. Through 11 years of routine fruit quality evaluation at the Washington State University apple breeding program, physical textural data of 84,552 fruit acquired from computerized penetrometers were correlated with sensory assessment. Correlations among various instrumental metrics are high (0.63 ≤ r ≤ 1.00; P < 0.0001). In correlating instrumental outputs with sensory data, there is a significant correlation (r = 0.43; P < 0.0001) between the instrumental crispness value and sensory crispness. Additionally, instrumental hardness traits are significantly correlated (0.61 ≤ r ≤ 0.69; P < 0.0001) with sensory hardness. Outputs from two versions of computerized penetrometers were tested and shown to have no statistical differences. Overall, this report demonstrates potential use of instrumental metrics as firmness and crispness estimates for selecting apples of diverse backgrounds in a breeding program. However, in testing a large number and diversity of fruit, experimenters should perform data curation and account for lower limits/thresholds of the instrument.

APA, Harvard, Vancouver, ISO, and other styles

50

Street, Ashton, Christopher Stripling, John Ricketts, Nathan Conner, and Christopher Boyer. "Identifying Tennessee school-based agricultural education student growth and program accountability metrics." Advancements in Agricultural Development 2, no. 2 (July 14, 2021): 86–96. http://dx.doi.org/10.37433/aad.v2i2.91.

Full text

Abstract:

Over the years, accountability in education has transformed from the primary focus being the school as a whole to the individual teacher. The purpose of this study was to determine the metrics Tennessee school-based agricultural education teachers perceive as indicators of excellent total programs (classroom instruction, FFA, SAE), and a modified Delphi study was used to seek a consensus. The following nine metrics were retained: (a) pesticide certification, (b) program of activities, (c) number of students participating in CDEs, (d) chapter community service hours, (e) total number of FFA activities, (f) number of CDEs coached, (g) at least one proficiency at regional level, (h) one American degree every 3 years, and (i) percentage of students with SAE. Overall, the metrics agreed upon are narrow in focus and all but one is a record of activity and not direct measures of students’ knowledge or skills. As a result, the measures do not include student growth or value-added scores or authentic assessments of 21st century skills. Additional research is needed to further investigate the metrics that should be used to measure a school-based agricultural education program’s success in Tennessee and across the nation.

APA, Harvard, Vancouver, ISO, and other styles

Journal articles on the topic 'Metrics Program'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles