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Journal articles on the topic 'IT tools'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 April 2022

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1

Tomlinson, R., T. Yokota, P. Jaggi, C. Kilburn, D. Bakken, B. D. Lipon, and M. Bullard. "P131: Emergency department falls risk management screening tool comparison." CJEM 18, S1 (May 2016): S121—S122. http://dx.doi.org/10.1017/cem.2016.305.

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Introduction: Emergency Department (ED) fall risk screening has been newly implemented in Alberta based on Accreditation Canada requirements. Two existing inpatient tools failed to include certain ED risk conditions. One tool graded unconsciousness as no risk for falling, and neither considered intoxication or sedation. This led to the development of a new fall risk management screening tool, the FRM (Tool1). This study compared Tool1 with inpatient utilized Schmid Fall Risk Assessment Tool (Tool2) and the validated Hendrich II Fall Risk Model (Tool3). Methods: Patients (≥17 years old) in a tertiary care adult ED with any of the following; history of falling in the last 12 months, elderly/frail, incontinence, impaired gait, mobility assist device, confusion/disorientation, procedural sedation, intoxication/sedated, or unconscious were included. Forms were randomized to score patients using different paired screening tools: Tool1 paired with either Tool2 or Tool3. Percent agreement (PA) between the tools based on identification of a patient at either risk/no risk for falling; higher PA indicating more tool homogeneity. Results: A total of 928 screening forms were completed within our 8-week study period; 452 and 443 comparing Tool1 to Tool2 and Tool1 to Tool3, respectively. Thirty-two forms included only Tool1 scores, excluding them from comparative analysis. The average patient age (n=895) was 64.8±21.4 years. Tool1 identified 66.4% of patients at risk, whereas Tool2 and Tool3 identified only 19.2% and 31.4%, respectively. Tool1 and 2 had a PA of 50.2%, whereas Tool1 and Tool3 had a PA of 65.9%. Conclusion: The FRM tool had higher agreement with the validated assessment tool, identifying patients at risk for falling but better identified patients presenting with intoxication, need for procedural sedation and unconsciousness. The other tools generally miss these common ED conditions, putting these patients at risk. Validation and reliability assessments of the FRM tool are warranted.

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Bisiani, R., F. Lecouat, and V. Ambriola. "A tool to coordinate tools." IEEE Software 5, no. 6 (November 1988): 17–25. http://dx.doi.org/10.1109/52.10000.

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3

Guo, Xu Hong, G. Liu, and G. S. Su. "Research on Wear Behavior of Tools while Infeed Cutting Austempered Ductile Iron (ADI) with Ceramic Tools." Applied Mechanics and Materials 10-12 (December 2007): 605–9. http://dx.doi.org/10.4028/www.scientific.net/amm.10-12.605.

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Cutting tests had been done on the Austempered Ductile Iron (ADI) with ceramic cutting tools. The wear shape of the cutting tool’s surface was observed by the Scanning Electron Microscope (SEM). The micro-wear area of the tools was analyzed with energy spectrum. Study on wear shape and wear mechanisms were done when infeed cutting ADI. The result shows that: the cutting speed is an important factor to the tool wear when infeed cutting ADI with CC650 tool, and with the increase of the cutting speed, the wear value of cutting tool increases obviously. The flank of cutting tool (CC650) has wear land of definite width during cutting, and shows obvious abrasive wear. The crate wear shape of rake face is almost joined to major cutting edge, it is different from the typical crate shape of rake face. Elements Fe, Si and Mg in ADI material diffuses to the surface of cutting tools (CC650) after cutting, the diffusion exacerbates the wear of cutting tools, and the diffusion degree of rake face is larger than that of flank, abrasive wear, adhesive wear and diffusive wear is chief reasons for tools wear.

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Krauss, Sven Stefan, Martin Rejzek, and Christian Hilbes. "Tool Qualification Considerations for Tools Supporting STPA." Procedia Engineering 128 (2015): 15–24. http://dx.doi.org/10.1016/j.proeng.2015.11.500.

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5

Chase, Philip G. "Tool-Making Tools and Middle Paleolithic Behavior." Current Anthropology 31, no. 4 (August 1990): 443–47. http://dx.doi.org/10.1086/203869.

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6

Roychoudhury, Buddhadev, and John F. Muth. "Tool path optimization procedures for machine tools." Computers & Industrial Engineering 28, no. 2 (April 1995): 367–77. http://dx.doi.org/10.1016/0360-8352(94)00041-k.

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7

Shand, D. "Tools galore [FPGA design tools]." Electronics Systems and Software 3, no. 3 (June 1, 2005): 30–33. http://dx.doi.org/10.1049/ess:20050304.

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8

Desmond, Celia. "Project management tools-software tools." IEEE Engineering Management Review 45, no. 4 (2017): 24–25. http://dx.doi.org/10.1109/emr.2017.2765439.

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9

Island of TeX. "Working remotely from an island: arara and other tools." TUGboat 42, no. 1 (2021): 72–73. http://dx.doi.org/10.47397/tb/42-1/tb130island-tools.

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10

Curtin, Patrick, Alexandra Conway, Liu Martin, Eugenia Lin, Prakash Jayakumar, and Eric Swart. "Compilation and Analysis of Web-Based Orthopedic Personalized Predictive Tools: A Scoping Review." Journal of Personalized Medicine 10, no. 4 (November 12, 2020): 223. http://dx.doi.org/10.3390/jpm10040223.

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Web-based personalized predictive tools in orthopedic surgery are becoming more widely available. Despite rising numbers of these tools, many orthopedic surgeons may not know what tools are available, how these tools were developed, and how they can be utilized. The aim of this scoping review is to compile and synthesize the profile of existing web-based orthopedic tools. We conducted two separate PubMed searches—one a broad search and the second a more targeted one involving high impact journals—with the aim of comprehensively identifying all existing tools. These articles were then screened for functional tool URLs, methods regarding the tool’s creation, and general inputs and outputs required for the tool to function. We identified 57 articles, which yielded 31 unique web-based tools. These tools involved various orthopedic conditions (e.g., fractures, osteoarthritis, musculoskeletal neoplasias); interventions (e.g., fracture fixation, total joint arthroplasty); outcomes (e.g., mortality, clinical outcomes). This scoping review highlights the availability and utility of a vast array of web-based personalized predictive tools for orthopedic surgeons. Increased awareness and access to these tools may allow for better decision support, surgical planning, post-operative expectation management, and improved shared decision-making.

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11

Han, Zhen Yu, Xiang Zhang, Hong Ya Fu, and Ya Zhou Sun. "Receptance Coupling for Micro-End-Milling." Advanced Materials Research 472-475 (February 2012): 2391–96. http://dx.doi.org/10.4028/www.scientific.net/amr.472-475.2391.

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Micro-end-milling tools are suitable for machining miniature parts which have complex shape. As the diameters of tools are too small, cannot directly obtain the frequency response functions (FRFs) through impact hammer test at tool tip. This paper employs Receptance Coupling method (RC), couple the tool tip’s FRFs with machine-toolholder system’s FRF, and then get the micro-end-milling tool’s FRF. Establish the coupling model, then finite element and hammer test of the blank gauge tools are used to obtain the coupling transfer functions (TFs). Then analyze the tool tip model by finite element, couple with the machine-toolholder system hammer test result and coupling transfer functions, finally the micro-end-milling tool’s FRFs are obtained. Through the hammer test of blank gauge tool, the effectiveness and feasibility of RC method are verified. The result shows that the RC method is accurate at micro-end-milling tool in steady state milling.

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12

Sousa, Vitor F. C., and Francisco J. G. Silva. "Recent Advances on Coated Milling Tool Technology—A Comprehensive Review." Coatings 10, no. 3 (March 4, 2020): 235. http://dx.doi.org/10.3390/coatings10030235.

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The milling process is one of the most used processes in the manufacturing industry. Milling, as a process, as evolved, with new machines and methods being employed, in order to obtain the best results consistently. Milling tools have also seen quite an evolution, from the uncoated high-speed steel tool, to the now vastly used, coated tools. Information on the use of these coated tools in recent scientific researches was collected. The coatings that are currently being researched are going to be presented, highlighting some novel advances in the nanocomposite and diamond coatings area, as these coatings are seeing a growing use in the industry, with very satisfactory results, with performance and tool-life increase. Wear mechanism of various types of coatings are also a popular topic on recent research, as the cutting behavior of these coated tools provides valuable information on the tool’s-life. Furthermore, analysis of these mechanisms enables for the selection of the best coating type for the correct application. Recently, the employment of coated tools paired with sustainable lubrication methods as seen some use. As this presents the opportunity to enhance the coated tool’s and the process’s performance, obtaining better results, in terms of better tool-life and better surface finish quality, in a more sustainable fashion.

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13

Hernández, Fé Fernández. "Diploma course: “Health Economy tools for taking decisions”, a useful tool for health managers." Clinical Research and Clinical Trials 2, no. 2 (July 29, 2020): 01–03. http://dx.doi.org/10.31579/crct.2020/010.

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The Public Health services are closest related with the human develop. The strong relation between population health and labor productivity is determining the historical economic develop and the real capability to make sustainable the economic develop. Few sectors have an extensive and strong relation with the human develop as the Public Health. The health policies may insider over the whole population and can determine which population sector can access to the health services and the real dimension from the effective demand from these services too.

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14

IHARA, Yukitoshi. "Contouring Accuracy Performance of Machine Tools with Recent Conventional Numerical Controller(Advanced machine tool)." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2005.2 (2005): 465–68. http://dx.doi.org/10.1299/jsmelem.2005.2.465.

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MATSUBARA, Atsushi, Motoyuki SUGIHARA, Ahmed A. D. SARHAN, Hidenori SARAIE, Soichi IBARAKI, and Yoshiaki KAKINO. "Research on Spindle and Machining Process Monitoring for Intelligent Machine Tools(Advanced machine tool)." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2005.2 (2005): 469–74. http://dx.doi.org/10.1299/jsmelem.2005.2.469.

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16

Hernández, Fé Fernández. "Diploma course: “Health Economy tools for taking decisions”, a useful tool for health managers." Clinical Research and Clinical Trials 2, no. 2 (July 29, 2020): 01–03. http://dx.doi.org/10.31579/2693-4779/010.

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Abstract:

The Public Health services are closest related with the human develop. The strong relation between population health and labor productivity is determining the historical economic develop and the real capability to make sustainable the economic develop. Few sectors have an extensive and strong relation with the human develop as the Public Health. The health policies may insider over the whole population and can determine which population sector can access to the health services and the real dimension from the effective demand from these services too.

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17

M. Tarun, Ivy. "The Effectiveness of a Customized Online Collaboration Tool for Teaching and Learning." Journal of Information Technology Education: Research 18 (2019): 275–92. http://dx.doi.org/10.28945/4367.

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Aim/Purpose: There is a huge array of educational technology tools that are now in use today. These tools have changed the way teachers teach and the way students learn. Among the many educational technology tools that are gaining popularity are the online collaboration tools. Online collaboration tools are web-based tools that allow individuals to do things together online like messaging, file sharing, and assessment. However, when new educational technology is integrated in the classroom, its effects must be determined as this is an essential component for evaluation. Having the tool is not enough, there has to be an evaluation of its quality to make it more effective. It is on this premise that the customized online collaboration tool of one university in the Philippines was assessed. The study specifically aimed to identify the perceived effectiveness of the customized online collaboration tool; and identify the effectiveness of using Usability Metrics for Effectiveness. Background: Most studies provide evaluation of newly developed software using a set of quality standards such as functionality and usability. However, there is limited evidence where online collaboration tools are evaluated on their effectiveness using user’s perception as well as assessing their usability using a set of effectiveness metrics. Methodology: The study employed questionnaire-based (n=127) and metrics-based (n=81) approaches. Data gathered were analyzed using simple and relative frequencies, weighted mean, ANOVA, and Tukey HSD (Honestly Significant Difference). Contribution: This study supplements the literature regarding the effectiveness of online collaboration tools that are used for teaching and learning particularly those that are custom-made for an institution. It provides additional information on other ways to evaluate the effectiveness of customized online collaboration tools. It likewise provides information on the difference between what the users report about the tool’s effectiveness and what the metrics show. Findings: The customized online collaboration tool was perceived to be very effective for collaboration, teaching and learning. But there is a significant difference on the students’ perception based from their courses and year levels. The customized online collaboration tool’s effectiveness as regards its application performance is poor because of design interface faults. However, the customized online collaboration tool has good completion rate. Recommendations for Practitioners: Findings suggest that the customized online collaboration tool can be an alternative tool to open-source learning platforms which faculty members may use for teaching and learning as students find it very effective not only for collaboration but for teaching and learning as well. However, errors caused by interface design problems must be addressed to yield a higher application performance rating and higher completion rate. Recommendation for Researchers: Further assessment on the tool’s effectiveness using an empirical study is recommended to provide additional definitive evidence which may support the benefits of using online collaboration tools in the classroom.

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18

Dinwoodie, Hugh. "Tools." British Journal of General Practice 63, no. 607 (February 2013): 70.1–70. http://dx.doi.org/10.3399/bjgp13x662948.

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19

Smolentsev, V. P., O. N. Kirillov, and E. V. Smolentsev. "MACHINE TOOLS WITH NON-PROFILED ELECTRODE-TOOL." Spravochnik. Inzhenernyi zhurnal, 2018, 48–55. http://dx.doi.org/10.14489/hb.2018.08.pp.048-055.

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20

"4442576 Tool cooling device for machine tools." International Journal of Machine Tool Design and Research 25, no. 1 (January 1985): ii—iii. http://dx.doi.org/10.1016/0020-7357(85)90069-1.

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21

Whyley, Dave. "Learner tools not teaching tools." SecEd 2007, no. 5 (May 2007). http://dx.doi.org/10.12968/sece.2007.5.899.

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22

"Tools." Electronics Systems and Software 1, no. 1 (February 1, 2003): 46–48. http://dx.doi.org/10.1049/ess:20030112.

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"Tools." Electronics Systems and Software 1, no. 2 (April 1, 2003): 43–46. http://dx.doi.org/10.1049/ess:20030212.

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"Tools." Electronics Systems and Software 1, no. 4 (August 1, 2003): 43–48. http://dx.doi.org/10.1049/ess:20030412.

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"Tools." Electronics Systems and Software 1, no. 5 (October 1, 2003): 46–48. http://dx.doi.org/10.1049/ess:20030513.

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"Tools." Electronics Systems and Software 1, no. 6 (December 1, 2003): 43–47. http://dx.doi.org/10.1049/ess:20030611.

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"Tools." Electronics Systems and Software 2, no. 1 (February 1, 2004): 42–47. http://dx.doi.org/10.1049/ess:20040110.

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"Tools." Electronics Systems and Software 2, no. 2 (April 1, 2004): 42–47. http://dx.doi.org/10.1049/ess:20040210.

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"Tools." Electronics Systems and Software 2, no. 4 (August 1, 2004): 41–47. http://dx.doi.org/10.1049/ess:20040410.

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"Tools." Electronics Systems and Software 2, no. 5 (October 1, 2004): 46–47. http://dx.doi.org/10.1049/ess:20040512.

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"Tools." Electronics Systems and Software 2, no. 6 (December 1, 2004): 47. http://dx.doi.org/10.1049/ess:20040613.

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"Tools." Electronics Systems and Software 3, no. 1 (February 1, 2005): 44–46. http://dx.doi.org/10.1049/ess:20050111.

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"Tools." Electronics Systems and Software 3, no. 2 (April 1, 2005): 45–47. http://dx.doi.org/10.1049/ess:20050211.

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"Tools." Electronics Systems and Software 3, no. 3 (June 1, 2005): 45–47. http://dx.doi.org/10.1049/ess:20050310.

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"Tools." Electronics Systems and Software 3, no. 4 (August 1, 2005): 45–47. http://dx.doi.org/10.1049/ess:20050410.

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"Tools." Electronics Systems and Software 3, no. 6 (December 1, 2005): 46–47. http://dx.doi.org/10.1049/ess:20050611.

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"Tools." Electronics Systems and Software 4, no. 1 (February 1, 2006): 46. http://dx.doi.org/10.1049/ess:20060110.

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"Tools." Electronics Systems and Software 4, no. 2 (April 1, 2006): 46–47. http://dx.doi.org/10.1049/ess:20060211.

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"Tools." Electronics Systems and Software 4, no. 3 (June 1, 2006): 46–47. http://dx.doi.org/10.1049/ess:20060311.

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"Tools." Electronics Systems and Software 4, no. 4 (August 1, 2006): 46–47. http://dx.doi.org/10.1049/ess:20060412.

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"Tools." Electronics Systems and Software 4, no. 5 (October 1, 2006): 46–47. http://dx.doi.org/10.1049/ess:20060512.

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"Tools." Electronics Systems and Software 4, no. 6 (December 1, 2006): 45–47. http://dx.doi.org/10.1049/ess:20060612.

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"Tools." Electronics Systems and Software 5, no. 2 (April 1, 2007): 45–47. http://dx.doi.org/10.1049/ess:20070212.

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"Tools." Electronics Systems and Software 5, no. 3 (June 1, 2007): 46–48. http://dx.doi.org/10.1049/ess:20070314.

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"Tools." Electronics Systems and Software 5, no. 4 (August 1, 2007): 48. http://dx.doi.org/10.1049/ess:20070413.

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"Tools." Electronics Systems and Software 5, no. 6 (December 1, 2007): 47–48. http://dx.doi.org/10.1049/ess:20070613.

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"Tools." Oncology Issues 18, no. 6 (November 2003): 1–2. http://dx.doi.org/10.1080/10463356.2003.11883141.

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"Tools." Oncology Issues 19, no. 2 (March 2004): 1–3. http://dx.doi.org/10.1080/10463356.2004.11883171.

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"Tools." Oncology Issues 25, no. 3 (May 2010): 18–19. http://dx.doi.org/10.1080/10463356.2010.11883771.

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"Tools." Oncology Issues 27, no. 3 (May 2012): 16. http://dx.doi.org/10.1080/10463356.2012.11883664.

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