This article discusses a comparative analysis of the wear and quality of planer knife blades used in wood planers. The novelty in this work is the use of a simple coordinate measuring machine with a vision system to assess the wear of the cutting edges of planer knives. The primary objective of the research described in this paper was to verify whether the wear of the cutting edge of planer knives can be measured quickly and accurately using an optical coordinate measuring machine with a vision system. To date, contact profilometry methods have been used for this purpose, which require a specialist apparatus and qualified measuring equipment operators and are expensive and time-consuming. The research presented in this work was conducted on twelve planer knives. The condition and wear of the working surfaces of the tested knives were assessed using an optical digital microscope. The wear of the cutting edge of the knives was measured using two methods: the contact profilometry method and an optical coordinate measuring machine equipped with a vision system. The edge profiles and their parameters obtained by the optical method were compared to the results of measurements with a stylus profilometer. Based on the research and analyses conducted, it was found that the optical method used in this research significantly shortens the time of measuring the wear of the cutting edges of planer knives. In addition, this method has a wider measurement range, and the obtained measurement results are characterized by lower measurement uncertainty.
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http://dx.doi.org/10.3390/ma17164018 | DOI Listing |
Physiother Res Int
January 2025
Department of Physiotherapy, Centro Universitário FUNCESI, Itabira, Brazil.
Background And Purpose: To develop a new test to assess the motor coordination of the upper limbs, and to investigate the test-retest and inter-rater reliability, construct validity, standard error of measurement (SEM), minimum detectable change (MDC), and the reference values.
Methods: The Upper Extremity Motor Coordination Test (UEMOCOT)was applied for 20 s, with the individual touching two targets (one right and one left) as quickly as possible, first with the hand (manual task) and then with the index finger (finger task). To test-retest reliability, the UEMOCOT was administered two times.
In sensory and mid-level regions of the brain, stimulus information is often topographically organized; functional responses are arranged in maps according to features such as retinal coordinates, auditory pitch, and object animacy or size. However, such organization is typically measured during stimulus input, e.g.
View Article and Find Full Text PDFJ Pharm Policy Pract
December 2024
College of Pharmacy, Qatar University, Doha, Qatar.
On 25-26 April 2024, the 5th PPRI (Pharmaceutical Pricing and Reimbursement Information) Conference on ensuring equitable access to affordable medicines took place in Vienna (Austria). Twenty-four accepted contributions were presented either as oral presentations or posters, adding to invited keynote lectures, stakeholder debates and workshops. The global multi-stakeholder audience discussed a range of approaches in pharmaceutical policies, which have the potential to successfully and sustainably address current and future challenges in ensuring patient access to affordable medicines globally.
View Article and Find Full Text PDFHealth Res Policy Syst
January 2025
China Center for Health Development Studies, Peking University, 38 Xueyuan Rd, Haidian District, Beijing, China.
Background: An increasing number of people live with chronic disease or multi-morbidity. Current consensus is that their care requires an integrated model bringing different professionals together to provide person-centred care. Although primary care has a central role in managing chronic disease, and integration may be important in strengthening this role, previous research has shown insufficient attention to the relationships between primary care and integration.
View Article and Find Full Text PDFJ Gen Intern Med
January 2025
VA Palo Alto Cooperative Studies Program Coordinating Center, Palo Alto, CA, USA.
Background: Advances in artificial intelligence and machine learning have facilitated the creation of mortality prediction models which are increasingly used to assess quality of care and inform clinical practice. One open question is whether a hospital should utilize a mortality model trained from a diverse nationwide dataset or use a model developed primarily from their local hospital data.
Objective: To compare performance of a single-hospital, 30-day all-cause mortality model against an established national benchmark on the task of mortality prediction.
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