Inaccuracy of the intramedullary femoral guide: traditional instrumentation lacks precision and accuracy

2022 ◽  
Author(s):  
Adam Driesman ◽  
Ronald Connors-Ehlert ◽  
Kevin Abbruzzese ◽  
Ran Schwarzkopf ◽  
William J. Long
Keyword(s):  
Precision And Accuracy

RADIOIMMUNOASSAY OF OESTRONE AND OESTRADIOL IN THE PERIPHERAL PLASMA OF THE DOMESTIC FOWL IN VARIOUS PHYSIOLOGICAL STATES AND OF HYPOPHYSECTOMIZED AND OVARIECTOMIZED FOWLS

1974 ◽  
Vol 75 (1) ◽  
pp. 133-140 ◽  
Author(s):  
B. E. Senior
Keyword(s):  
Bovine Serum Albumin ◽  
Serum Albumin ◽  
Diethyl Ether ◽  
Bovine Serum ◽  
Domestic Fowl ◽  
Laying Hens ◽  
Peripheral Plasma ◽  
The Mean ◽  
Precision And Accuracy ◽  
Chicken Ovary

ABSTRACT A radioimmunoassay was developed to measure the levels of oestrone and oestradiol in 0.5–1.0 ml of domestic fowl peripheral plasma. The oestrogens were extracted with diethyl ether, chromatographed on columns of Sephadex LH-20 and assayed with an antiserum prepared against oestradiol-17β-succinyl-bovine serum albumin using a 17 h incubation at 4°C. The specificity, sensitivity, precision and accuracy of the assays were satisfactory. Oestrogen concentrations were determined in the plasma of birds in various reproductive states. In laying hens the ranges of oestrone and oestradiol were 12–190 pg/ml and 29–327 pg/ml respectively. Levels in immature birds, in adult cockerels and in an ovariectomized hen were barely detectable. The mean concentrations of oestrone and oestradiol in the plasma of four non-laying hens (55 pg/ml and 72 pg/ml respectively) and one partially ovariectomized hen (71 pg/ml and 134 pg/ml respectively) were well within the range for laying hens. It is evident that the large, yolk-filled follicles are not the only source of oestrogens in the chicken ovary.

971-P: The Precision and Accuracy of Many Modern Blood Glucose Meters at High Altitude

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 971-P
Author(s):  
SUN ZENGMEI ◽  
WU YUNHONG ◽  
WANG SUYUAN ◽  
ZHAO YANFANG ◽  
YANG JING ◽  
...  
Keyword(s):  
Blood Glucose ◽  
High Altitude ◽  
Precision And Accuracy

Hubungan Tingkat Pengetahuan dengan Presisi dan Akurasi Pemipetan Menggunakan Mikropipet Metode Forward

2019 ◽  
Vol 2 (1) ◽  
pp. 5
Author(s):  
Hendra Budi Sungkawa ◽  
Inten Ayu Kusuma
Keyword(s):  
Random Sampling ◽  
Simple Random Sampling ◽  
Support Service ◽  
Control Area ◽  
Test Results ◽  
Medical Support ◽  
Testing Procedures ◽  
Service Unit ◽  
Level Of Knowledge ◽  
Precision And Accuracy

Abstract : Pipetting is one of the most important activities in health laboratory analysis. Knowledge of pipetting must be owned by every health laboratory. Students of health analyst as a candidate of health laboratory who will become medical support service unit is expected to be able to do the pipetting precision and accurately. To get a thorough and accurate results then the results of the analysis must be located within a specifc control area and both in precision and accuracy. Precision and accuracy are responsible for analytical interpretation of test results and testing procedures. The method use in this research is the forward method by 61 people research samples which determined by simple random sampling. While the research design used was observational analytics. Based on the results of the research obtained the level of knowledge of respondents research is 71,38; precision pipetting 99,69% and accuracy pipetting 99,58%. From the data that has been obtained then analyzed statistically using tau kendau test. The result indicates that the level of knowledge and precision has a p=0,640 and correlation coeffcient of -0,044 so that the Ho is accepted, meaning there is no relationship between the level of knowledge and precision meaningful. Meanwhile, the level of knowledge and accuracy of the p=0,574 and correlation coeffcient value is -0,053 so that Ho is accepted, it means there is no relationship between the level of knowledge with accuracy. Abstrak: Pemipetan merupakan salah satu kegiatan yang sangat penting dalam analisa laboratorium kesehatan. Pengetahuan pemipetan harus dimiliki oleh setiap tenaga laboratorium kesehatan. Mahasiswa analis kesehatan sebagai calon tenaga laboratorium kesehatan yang akan menjadi unit pelayanan penunjang medis diharapkan mampu melakukan pemipetan dengan teliti dan akurat. Untuk mendapatkan hasil yang teliti dan akurat maka hasil analisa harus terletak di dalam daerah kontrol tertentu dan baik dalam presisi maupun akurasi. Presisi dan akurasi bertanggung jawab terhadap interpretasi analitik hasil pengujian serta prosedur pengujian. Metode yang dilakukan dalam penelitian ini adalah metode forward oleh sampel penelitian sebanyak 61 orang yang ditentukan secara simple random sampling. Sedangkan desain penelitian yang digunakan adalah observasional analitik. Berdasarkan dari hasil penelitian diperoleh nilai tingkat pengetahuan responden penelitian adalah 71,38; presisi pemipetan 99,69% dan akurasi pemipetannya 99,58%. Dari data yang telah didapatkan kemudian dianalisis secara statistik menggunakan uji kendal tau. Untuk tingkat pengetahuan dengan presisi didapatkan hasil nilai p=0,640 dan koefsien korelasi -0,044 sehingga Ho diterima, berarti tidak ada hubungan antara tingkat pengetahuan dan presisi. Untuk tingkat pengetahuan dengan akurasi nilai p=0,574 dan koefsien korelasi adalah -0,053 sehingga Ho diterima, berarti tidak ada hubungan antara tingkat pengetahuan dengan akurasi.

UV spectroscopic method for determination of phenytoin in bulk and injection forms

2019 ◽  
Author(s):  
Chem Int
Keyword(s):  
Quality Control ◽  
Spectrophotometric Method ◽  
Spectroscopic Method ◽  
Ich Guidelines ◽  
Precision And Accuracy ◽  
Routine Quality Control

Recent study was conducted to develop a simple UV spectrophotometric method to determine Phenytoin in bulk and injection form according to official requirement and validate as per ICH guidelines. λmax of Phenytoin was found 202 nm. Linearity existed perceived in the concentration assortment 2-8 μg/ml (r2 = 0.999) for the method. The method was validated pertaining to linearity, precision and accuracy studies, LOD and LOQ consistent with ICH guidelines. The existent method was establish to be simple, linear, precise, accurate as well as sensitive and can be applied for routine quality control enquiry for the analysis of Phenytoin in bulk and injection form.

Auto-Metrology on TEM Images of FinFET

2014 ◽  
Author(s):  
Sajal Biring
Keyword(s):  
Data Analysis ◽  
Data Interpretation ◽  
Visual Judgment ◽  
Manual Measurement ◽  
Size And Shape ◽  
Highly Sensitive ◽  
Edge Detecting ◽  
Geometrical Data ◽  
Precision And Accuracy ◽  
Device Size

Abstract The FinFET has been introduced in the last decade to provide better transistor performance as the device size shrinks. The performance of FinFET is highly sensitive to the size and shape of the fin, which needs to be optimized with tighter control. Manual measurement of nano-scale features on TEM images of FinFET is not only a time consuming and tedious task, but also prone to error owing to visual judgment. Here, an auto-metrology approach is presented to extract the measured values with higher precision and accuracy so that the uncertainty in the manual measurement can be minimized. Firstly, a FinFET TEM image is processed through an edge detecting algorithm to reveal the fin profile precisely. Finally, an algorithm is utilized to calculate out the required geometrical data relevant to the FinFET parameters and summarizes them to a table or plots a graph based on the purpose of data interpretation. This auto-metrology approach is expected to be adopted by academia and/or industry for proper data analysis and interpretation with higher precision and efficiency.

QUANTITATIVE DETERMINATION OF CURCUMIN IN TURMERIC POWDER AND TURMERIC–HONEY BALL PILLS BY HPLC

2018 ◽  
Vol 8 (4) ◽  
pp. 42-47
Author(s):  
Tien Nguyen Huu ◽  
Tram Le Thi Bao ◽  
Ngoc Nguyen Thi Nhu ◽  
Thang Phan Phuoc ◽  
Khan Nguyen Viet
Keyword(s):  
Acetic Acid ◽  
Gastric Mucosa ◽  
Quantitative Determination ◽  
Mobile Phase ◽  
Curcuma Longa ◽  
Biological Marker ◽  
Hplc Method ◽  
Chromatography Analysis ◽  
Precision And Accuracy

Background: Curcumin is a major ingredient in turmeric (Curcuma longa L., Zingiberaceae), which has important activities such as anti-tumor, anti-inflammatory, antioxidant, anti-ischemia, protection of gastric mucosa etc,. Curcumin can be considered as a biological marker of turmeric and turmeric products. Objectives: Developing an HPLC method for quantification of curcumin in turmeric powder and turmeric - honey ball pills; applying this method for products on the market. Materials and methods: turmeric powder and turmeric - honey ball pills collected in Thua Thien Hue province. After optimization process, the method was validated and applied to evaluate the content of curcumin. Results: The chromatography analysis was performed with: Zorbaz Eclipse XDB-C18 (150 × 4.6 nm; 5 µm); Mobile phase: acetonitril: 2% acetic acid (45:55), Flow rate was kept constant at 1.0 ml/min; Detector PDA (420 nm). The method was validated for the HPLC system compatibility, specificity, linearity range, precision and accuracy; the recovery greater than 98%. Conclusion: The developed HPLC method can determine curcumin in turmeric powder and turmeric - honey ball pills. Key words: Curcumin, turmeric powder, turmeric-honey ball pills, quantitative determination, HPLC

Development and Validation of an LC-MS/MS Method for Simultaneous Determination of Canagliflozin and Metformin HCl in Rat Plasma and its Application

2020 ◽  
Vol 16 (6) ◽  
pp. 752-762
Author(s):  
Vivek Nalawade ◽  
Vaibhav A. Dixit ◽  
Amisha Vora ◽  
Himashu Zade
Keyword(s):  
Internal Standard ◽  
Rat Plasma ◽  
Precipitation Method ◽  
Herbal Extracts ◽  
One Step ◽  
Precision And Accuracy ◽  
Development And Validation ◽  
The Impact ◽  
Metformin Hcl

Background: Food and herbal extracts rich in Quercetin (QRT) are often self-medicated by diabetics and can potentially alter the pharmacokinetics (PK) of Metformin HCl (MET) and Canagliflozin (CNG) leading to food or herb-drug interactions and reduced therapeutic efficacy. However, the impact of these flavonoids on the pharmacokinetic behaviour of MET and CNG is mostly unknown. Methods: A simple one-step protein precipitation method was developed for the determination of MET and CNG from rat plasma. The mobile phase chosen was MeOH 65% and 35% water containing 0.1% formic acid at a flow rate of 1mL/min. Results: The retention time of MET, internal standard (Valsartan) and CNG was 1.83, 6.2 and 8.2 min, respectively. The method was found to be linear in the range of 200 - 8000 ng/mL for CNG and 100 = 4000 ng/ml for MET. Precision and accuracy of the method were below 20% at LLOQ and below 15% for LQC, MQC, and HQC. Conclusion: The method was successfully applied for the determination of PK of MET and CNG by using 100 μL of rat plasma. QRT co-administration affects the PK parameters of MET and CNG. This alteration in PK parameters might be of significant use for clinicians and patients.

Face detection in single and multiple images using different skin color models

2020 ◽  
Vol 13 ◽  
Author(s):  
Manpreet Kaur ◽  
Jasdev Bhatti ◽  
Mohit Kumar Kakkar ◽  
Arun Upmanyu
Keyword(s):  
Face Detection ◽  
Skin Color ◽  
Input Image ◽  
Morphological Operations ◽  
Reliability Model ◽  
Multiple Images ◽  
Face Region ◽  
Bounding Box ◽  
The Face ◽  
Precision And Accuracy

Introduction: Face Detection is used in many different steams like video conferencing, human-computer interface, in face detection, and in the database management of image. Therefore, the aim of our paper is to apply Red Green Blue ( Methods: The morphological operations are performed in the face region to a number of pixels as the proposed parameter to check either an input image contains face region or not. Canny edge detection is also used to show the boundaries of a candidate face region, in the end, the face can be shown detected by using bounding box around the face. Results: The reliability model has also been proposed for detecting the faces in single and multiple images. The results of the experiments reflect that the algorithm been proposed performs very well in each model for detecting the faces in single and multiple images and the reliability model provides the best fit by analyzing the precision and accuracy. Moreover Discussion: The calculated results show that HSV model works best for single faced images whereas YCbCr and TSL models work best for multiple faced images. Also, the evaluated results by this paper provides the better testing strategies that helps to develop new techniques which leads to an increase in research effectiveness. Conclusion: The calculated value of all parameters is helpful for proving that the proposed algorithm has been performed very well in each model for detecting the face by using a bounding box around the face in single as well as multiple images. The precision and accuracy of all three models are analyzed through the reliability model. The comparison calculated in this paper reflects that HSV model works best for single faced images whereas YCbCr and TSL models work best for multiple faced images.

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