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1

Davies, Jody Messler. "Linking the “Pre-Analytic” with the Postclassical." Contemporary Psychoanalysis 32, no. 4 (October 1996): 553–76. http://dx.doi.org/10.1080/00107530.1996.10746336.

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2

Mehdi*, Syed Riaz, Sharique Ahmad, and Noorin Zaidi. "Assessment of laboratory errors and best laboratory practices." International Journal of Bioassays 5, no. 07 (June 29, 2016): 4704. http://dx.doi.org/10.21746/ijbio.2016.07.008.

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Laboratory error is defined by ISO 22367 as “Failure of planned actions to be completed as intended or use a wrong plan to achieve an aim”. Lundeberg in 1981 outlined the concept of Total Testing Process (TTP) and Plebani elaborated it further and classified the whole testing process into five phases of Pre-Pre Analytic, Pre Analytic, Analytic, Post Analytic and Post - Post Analytic. The errors have to be identified and resolved in each phase of the process. The medical laboratories have to run Internal and External Quality Control programs and abide by the guidelines of ISO 15189 in order to be accredited by bodies like JCI, CAP or NABL. Active communication and regular interaction between the clinicians and the laboratory is recommended during Pre Analytic and Post Analytic phases of TTP in order to achieve the target of Best Laboratory Practices.
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Agil, Hilda Meriyandah, Rina Veronica, and Tjipto Rini. "Correlation of Laboratory Experts’ Performances in Primary Health Care (Puskesmas) and Patience Perception." Journal of Public Health Research and Community Health Development 2, no. 2 (April 1, 2019): 135. http://dx.doi.org/10.20473/jphrecode.v2i2.12041.

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Background: Health laboratory services are an integral part of health services to the community and expected to provide accurate information in each stage: pre-analytic, analytic and post-analytic.Aims: This study aimed to determine the relationship between laboratory experts’ performances in Puskesmas against community perceptions conducted in 24 Puskesmas in Surabaya with a sample of 30 laboratory experts and 30 communities.Methods: This is a multivariate analysis research and data was obtained from the questionnaires given to the respondents and then performed data analysis using Pearson correlation.Results: The results indicated there was a significant relationship between the performance of laboratory experts with the perception of the community (ρ = 0.001). There is a relationship between the pre-analytic stage performance (ρ = 0.002), the analytic stage (ρ = 0.004) and post-analytic (ρ = 0.007).Conclusion: Based on the performance appraisal of laboratory personnel in the Puskesmas including significant pre-analytic, analytic and post-analytic activities on public perceptions there was a significant relationship, and the most significant relationship was found at the pre-analytic stage.
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Sachse, S., K. H. Schmidt, M. Lehmann, H. P. Deigner, S. Russwurm, and E. Straube. "P1405 Unique pre-analytic tool for microbial diagnosis." International Journal of Antimicrobial Agents 29 (March 2007): S391. http://dx.doi.org/10.1016/s0924-8579(07)71244-x.

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5

Heher, Yael K., Yigu Chen, and Paul A. VanderLaan. "Pre‐analytic error: A significant patient safety risk." Cancer Cytopathology 126, S8 (August 2018): 738–44. http://dx.doi.org/10.1002/cncy.22019.

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Aeni, Suci Rizki Nurul. "RELATIONSHIP OF ORGANIZATIONAL RESOURCES TO PRE-ANALYTIC ERRORS IN BANDUNG CITY PUSKESMAS LABORATORY." Jurnal Kesehatan Rajawali 12, no. 1 (May 25, 2022): 31–37. http://dx.doi.org/10.54350/jkr.v12i1.115.

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Background. Lack of awareness about the role of laboratory services in many developing countries causes a lack of resources which is the main factor that affects the poor quality of laboratory services. Quality control aims to reduce or minimize errors that occur in the laboratory. The laboratory error ranged from 0.012-0.6%. Errors that occur in the pre-analytic stage are the largest, reaching 60-70% of the total laboratory errors. Pre-analytical error data from one of the Puskesmas laboratories in Bandung is 4.7%. Destination. To find out the description of organizational resources, description of pre-analytical errors and to determine the relationship of organizational resources to pre-analytical errors in the Bandung City Health Center Laboratory. Method. This research is a correlation analytic research. The research subjects were laboratory officers at the Bandung City Health Center Laboratory as many as 20 respondents. The resource variable was measured using a questionnaire and the pre-analytic error variable was derived from secondary data. Results. The results of this study indicate that the organizational resources at the Bandung City Health Center Laboratory are 65% quite good, 30% good and 5% not good. Pre-analytical errors in the Bandung City Health Center Laboratory, as much as 20% did not have pre-analytic errors, as many as 80% had pre-analytical errors. There is no relationship between organizational resources and pre-analytic errors in the Bandung City Health Center Laboratory (Sig. 2-tailed 0.422). Conclusion. Most (65%) of Bandung City Health Center Laboratories have good organizational resources. Pre-analytical errors in the Bandung City Health Center Laboratory varied between 0.10-27.03%. There is no relationship between organizational resource variables and pre-analytic errors in the Bandung City Health Center Laboratory.
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Bridge, Julia A. "Reverse transcription-polymerase chain reaction molecular testing of cytology specimens: Pre-analytic and analytic factors." Cancer Cytopathology 125, no. 1 (July 14, 2016): 11–19. http://dx.doi.org/10.1002/cncy.21762.

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8

Sim, Young Jae, and Oh Sang Kwon. "The Pre-Schwarzian Norm Estimate for Analytic Concave Functions." International Journal of Mathematics and Mathematical Sciences 2015 (2015): 1–6. http://dx.doi.org/10.1155/2015/814805.

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LetDdenote the open unit disk and letSdenote the class of normalized univalent functions which are analytic inD. LetCo(α)be the class of concave functionsf∈S, which have the condition that the opening angle off(D)at infinity is less than or equal toπα,α∈(1,2]. In this paper, we find a sufficient condition for the Gaussian hypergeometric functions to be in the classCo(α). And we define a classCo(α,A,B),(-1≤B<A≤1), which is a subclass ofCo(α)and we find the set of variabilities for the functional(1-|z|2)(f″(z)/f′(z))forf∈Co(α,A,B). This gives sharp upper and lower estimates for the pre-Schwarzian norm of functions inCo(α,A,B). We also give a characterization for functions inCo(α,A,B)in terms of Hadamard product.
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9

Sari, Indah. "FLEBOTOMY EDUCATION TO INDO HEALTH SCHOOL STUDENTS IN PALEMBANG DEPARTMENT OF MEDICAL LABORATORY TECHNOLOGY." Khidmah 3, no. 2 (January 11, 2022): 320–25. http://dx.doi.org/10.52523/khidmah.v3i2.349.

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A clinical laboratory is a health laboratory that carries out clinical specimen examination services to obtain information about individual health, especially to support efforts to diagnose disease, cure disease, and restore health. The results of laboratory tests are strongly influenced by the pre-analytical, analytical and post-analytic stages. The biggest error contribution in the laboratory, namely in the pre-analytic stage, occurred at 77.1%. One of the health services at the forefront of laboratory services is phlebotomy. Phlebotomy is one of the main reasons behind pre analytic errors. Currently medical laboratory technology experts pay less attention to pre-analytical processes in the laboratory such as the process of taking blood samples (phlebotomy) so it is necessary to socialize and educate about phlebotomy for students of SMK Indo Health School (IHS) majoring in medical laboratory technology which aims to increase knowledge and understanding students regarding the pre-analytic stage, especially in blood sampling (phlebotomy) so as to prevent errors in the post-analytic stage. Solutions that can answer the problems faced by medical laboratory technology experts, it is necessary to carry out socialization and education about phlebotomy, so as to increase the knowledge and understanding of students of SMK Indo Health School (IHS) majoring in medical laboratory technology, totaling 30 participants at the pre-analytic stage, especially in taking blood samples (phlebotomy) as well as the selection of poster education media aims to explain about phlebotomy, demonstrate the stages of phlebotomy and the importance of a good phlebotomy stage in laboratory examination.
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10

Tworek, Joseph A. "Safety practices in surgical pathology: practical steps to reduce error in the pre-analytic, analytic, and post-analytic phases of surgical pathology." Diagnostic Histopathology 14, no. 7 (July 2008): 292–98. http://dx.doi.org/10.1016/j.mpdhp.2008.06.002.

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11

Eberly, Allison R., Jamie L. Elvert, and Audrey N. Schuetz. "Best Practices for the Pre-Analytic Phase of Anaerobic Bacteriology." Clinical Microbiology Newsletter 44, no. 7 (April 2022): 63–71. http://dx.doi.org/10.1016/j.clinmicnews.2022.04.001.

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12

Townsend, Mary K., Ying Bao, Elizabeth M. Poole, Kimberly A. Bertrand, Peter Kraft, Brian M. Wolpin, Clary B. Clish, and Shelley S. Tworoger. "Impact of Pre-analytic Blood Sample Collection Factors on Metabolomics." Cancer Epidemiology Biomarkers & Prevention 25, no. 5 (March 3, 2016): 823–29. http://dx.doi.org/10.1158/1055-9965.epi-15-1206.

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13

Bachner, Paul. "Quality Assurance of the Analytic Process: Pre- and Postanalytic Variation." Clinics in Laboratory Medicine 6, no. 4 (December 1986): 613–23. http://dx.doi.org/10.1016/s0272-2712(18)30773-x.

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14

Glinge, Charlotte, Sebastian Clauss, Kim Boddum, Reza Jabbari, Javad Jabbari, Bjarke Risgaard, Philipp Tomsits, et al. "Stability of Circulating Blood-Based MicroRNAs – Pre-Analytic Methodological Considerations." PLOS ONE 12, no. 2 (February 2, 2017): e0167969. http://dx.doi.org/10.1371/journal.pone.0167969.

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15

Kim, H. K., K. S. Song, E. S. Lee, Y. J. Lee, Y. S. Park, K. R. Lee, and S. N. Lee. "Optimized flow cytometric assay for the measurement of platelet microparticles in plasma: pre-analytic and analytic considerations." Blood Coagulation & Fibrinolysis 13, no. 5 (July 2002): 393–97. http://dx.doi.org/10.1097/00001721-200207000-00003.

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16

Han, Qiuxia, Songyan Li, Bo Fu, Dongwei Liu, Maoqing Wu, Xiaoli Yang, Guangyan Cai, Zhangsuo Liu, Xiangmei Chen, and Hanyu Zhu. "Stability of important antibodies for kidney disease: pre-analytic methodological considerations." PeerJ 6 (July 9, 2018): e5178. http://dx.doi.org/10.7717/peerj.5178.

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BackgroundThe importance of circulating antibodies as biomarkers of kidney disease has recently been recognized. However, no study has systematically described the methodology of sample preparation and storage regarding antibodies as biomarkers of kidney disease. It remains unknown whether repetitive freeze-thaw cycles, physical disturbances, storage at different temperatures or for different periods of time, or haemolytic or turbid serum samples affect antibody measurements. The aim of this study was to investigate the stabilities of antibodies associated with kidney disease in serum samples under various relevant clinical and research conditions.MethodsWe stored serum samples in the following different conditions: repetitive freeze-thaw cycles (1, 6 or 12 times), long-term storage (7 or 12 months at −80 °C), physical disturbance (1 or 8 h), and storage at 4 °C (1, 3 or 6 weeks) and room temperature (1 or 7 days). The stabilities of the anti-phospholipase A2 receptor (anti-PLA2R), anti-glomerular basement membrane, anti-myeloperoxidase and anti-proteinase 3 antibodies were evaluated with enzyme-linked immunosorbent assays (ELISA).ResultsWe found that repetitive freeze-thaw cycles did not have a significant effect on the stabilities of the abovementioned antibodies in clear serum samples. The ELISA readings of haemolytic and turbid serum samples tended to increase and decrease, respectively. Neither long-term storage at −80 °C nor physical disturbance had a significant effect on anti-PLA2R antibody stability in sealed serum samples. The concentrations of most of these antibodies increased in unsealed serum samples that were stored at 4 °C for more than 6 weeks or at room temperature for more than 7 days.DiscussionOur findings revealed that the abovementioned circulating antibodies that are used as biomarkers for kidney disease had stable physicochemical properties, structures and immunoreactivities such that they were not influenced by repetitive freeze-thaw cycles, physical disturbances or long-term storage at −80 °C. However, the ELISA readings tended to change for haemolytic, turbid and unsealed serum samples.
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17

Dietzen, Dennis J. "Sharpening the CALIPER: Defining pre-analytic and biologic variability in children." Clinical Biochemistry 45, no. 15 (October 2012): 1131. http://dx.doi.org/10.1016/j.clinbiochem.2012.08.016.

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18

Kahar, Hartono. "PENINGKATAN MUTU PEMERIKSAAN DI LABORATORIUM KLINIK RUMAH SAKIT." INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY 12, no. 1 (March 13, 2018): 38. http://dx.doi.org/10.24293/ijcpml.v12i1.839.

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Clinicians always needs the results of clinical laboratory with quality assurance. The performance of good quality laboratory depends on pre-analytic, analytic as well as post analytic processes. It is also influenced by reagents and methods types as well as personal laboratory work. The goal of laboratory examinations quality runs between QMS, or Five Q’s, which consist of: Quality planning, laboratory practice, control, and assurance and Quality improvement. The quality laboratory examinations depend on the accuracy and precision results.
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Kargar, Rahim. "Notes on the norm of pre-Schwarzian derivatives of certain analytic functions." Studia Universitatis Babes-Bolyai Matematica 65, no. 3 (September 17, 2020): 357–63. http://dx.doi.org/10.24193/subbmath.2020.3.04.

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20

Martin, P., F. Maass, F. A. Calderón, and F. Lastra. "Analytic solution for a joint Bohm sheath and pre-sheath potential profile." Physica Scripta 95, no. 1 (November 15, 2019): 015602. http://dx.doi.org/10.1088/1402-4896/ab2b1a.

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21

Kutz, A., E. Grolimund, B. Mueller, and P. Schuetz. "Pre-analytic factors and initial biomarker levels in community- acquired pneumonia patients." Critical Care 18, Suppl 1 (2014): P221. http://dx.doi.org/10.1186/cc13411.

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22

Hohenwarter, K., W. Prammer, B. Steger, and W. Aichinger. "148 The importance of pre-analytic in the detection of nasal colonization." Journal of Cystic Fibrosis 16 (June 2017): S103—S104. http://dx.doi.org/10.1016/s1569-1993(17)30512-x.

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23

Zhu, Liang, Michael A. Tangrea, Sumana Mukherjee, and Michael R. Emmert-Buck. "Layered electrophoretic transfer - A method for pre-analytic processing of histological sections." PROTEOMICS 11, no. 5 (January 31, 2011): 883–89. http://dx.doi.org/10.1002/pmic.201000476.

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24

Pouivet, Roger. "On the Polish Roots of the Analytic Philosophy of Religion." European Journal for Philosophy of Religion 3, no. 1 (March 21, 2011): 1–20. http://dx.doi.org/10.24204/ejpr.v3i1.378.

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Philosophers of religion of the Cracow Circle (1934-1944) are the principal precursors of what is now called the analytic philosophy of religion. The widespread claim that the analytic philosophy of religion was from the beginning an Anglo-American affair is an ill-informed one. It is demonstrable that the enterprise, although not the label “analytic philosophy of religion,” appeared in Poland in the 1930’s. Józef Bocheński’s post-war work is a development of the Cracow Circle’s pre-war work in the analytic philosophy of religion, or at least of important elements of that earlier work. Bocheński’s approach in his Logic of Religion is quite original and might still be profitably studied and discussed by philosophers of religion of the analytic persuasion.
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Köhrle, Josef, and Keith H. Richards. "Mass Spectrometry-Based Determination of Thyroid Hormones and Their Metabolites in Endocrine Diagnostics and Biomedical Research – Implications for Human Serum Diagnostics." Experimental and Clinical Endocrinology & Diabetes 128, no. 06/07 (June 2020): 358–74. http://dx.doi.org/10.1055/a-1175-4610.

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AbstractThe wide spectrum of novel applications for the LC-MS/MS-based analysis of thyroid hormone metabolites (THM) in blood samples and other biological specimen highlights the perspectives of this novel technology. However, thorough development of pre-analytical sample workup and careful validation of both pre-analytics and LC-MS/MS analytics, is needed, to allow for quantitative detection of the thyronome, which spans a broad concentration range in these biological samples.This minireview summarizes recent developments in advancing LC-MS/MS-based analytics and measurement of total concentrations of THM in blood specimen of humans, methods in part further refined in the context of previous achievements analyzing samples derived from cell-culture or tissues. Challenges and solutions to tackle efficient pre-analytic sample extraction and elimination of matrix interferences are compared. Options for automatization of pre-analytic sample-preparation and comprehensive coverage of the wide thyronome concentration range are presented. Conventional immunoassay versus LC-MS/MS-based determination of total and free THM concentrations are briefly compared.
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Nyrhinen, Tarja, Marja Hietala, Pauli Puukka, and Helena Leino-Kilpi. "Privacy and Equality in Diagnostic Genetic Testing." Nursing Ethics 14, no. 3 (May 2007): 295–308. http://dx.doi.org/10.1177/0969733007075864.

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This study aimed to determine the extent to which the principles of privacy and equality were observed during diagnostic genetic testing according to views held by patients or child patients' parents (n = 106) and by staff (n = 162) from three Finnish university hospitals. The data were collected through a structured questionnaire and analysed using the SAS 8.1 statistical software. In general, the two principles were observed relatively satisfactorily in clinical practice. According to patients/parents, equality in the post-analytic phase and, according to staff, privacy in the pre-analytic phase, involved the greatest ethical problems. The two groups differed in their views concerning pre-analytic privacy. Although there were no major problems regarding the two principles, the differences between the testing phases require further clarification. To enhance privacy protection and equality, professionals need to be given more genetics/ethics training, and patients individual counselling by genetics units staff, giving more consideration to patients' world-view, the purpose of the test and the test result.
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Chiengkriwate, Piyawan, Waranya Sripichian, and Sunisa Musem. "The Pre-Enrollment Medical Student Data Predictios of Pre-Clinic Failure." Songklanagarind Medical Journal 35, no. 2 (October 21, 2016): 25. http://dx.doi.org/10.31584/smj.2017.35.1.619.

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Objective: To identify potential pre-enrollment predictors of undergraduate medical students failure in pre-clinic class.Material and Method: A retrospective descriptive analytic study, medical students who had admitted in 2008-2012 to the Prince of Songkla University. The pre-enrollment data base was used to identify students background, high school Grade Point Average (GPA), Ordinary National Education Test (O-NET) score, and family background. The entry pathway and academic performance in the pre-clinic class were also collected and entered into analytic studies by using p-value<0.050 for each significant variable.Results: Nine hundred and fifty six medical students were enrolled, 418 (43.7%) was male, 274 (28.7%) had entered via the Collaborative Project to Increase Production of Rural Doctor (CPIRD) entry pathway, and 419 (43.8) had graduated from a high school in Songkhla province. Thirty nine (4.1%) students had failed in pre-clinic course. Comparing in achievement with the failure group revealed significant differences in GPA median (interquartile range) [3.8 (3.7, 3.9) vs 3.7 (3.5, 3.8)] and O-NET score [60 (51.4, 69.0) vs 53 (43.8, 60.0)], and proportion of CPIRD entry pathway (27.4% vs 59.0%) (p-value<0.001). However univariate conditional logistic regression analysis regression showed that the 10 (1%) with absent parent [odds ratio (OR)=42, 95% confidence interval (95% CI)=11.3 to 156 p-value<0.001), GPA less than 3.5 (OR=5.14, 95% CI=2.47 to 10.69, p-value<0.001), and O-NET score less than 50 compare with at least 60 (OR=4.34, 95% CI=1.81 to 10.40, p-value=0.001) were associated with pre-clinic failure.Conclusion: The GPA and O-NET scores, CPIRD entry pathway and absent parent were identified as significant pre-enrollment predictors of pre-clinic failure.
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Loit, Evelin, Andrea C. Tricco, Sophia Tsouros, Margaret Sears, Mohammed T. Ansari, and Ronald A. Booth. "Pre-analytic and analytic sources of variations in thiopurine methyltransferase activity measurement in patients prescribed thiopurine-based drugs: A systematic review." Clinical Biochemistry 44, no. 10-11 (July 2011): 751–57. http://dx.doi.org/10.1016/j.clinbiochem.2011.03.022.

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Mysonhimer, Annemarie, Corinne Cannavale, Naiman Khan, and Hannah Holscher. "Comparison of Microbiota Analytic Techniques." Current Developments in Nutrition 5, Supplement_2 (June 2021): 1172. http://dx.doi.org/10.1093/cdn/nzab054_027.

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Abstract Objectives Increasingly, there are many bioinformatic and statistical programs available to analyze microbiota data. We aimed to compare different analytic techniques. Methods We utilized data from a crossover trial in adults (n = 24) who consumed a prebiotic (5 g/d fructooligosaccharides + 5 g/d galactooligosaccharides; PRE) and a no fiber control (CON) for 4 weeks each. The 16S rRNA V4 region was amplified from extracted fecal DNA with a Fluidigm Access Array prior to high-throughput sequencing on an Illumina HiSeq. The FASTX-Toolkit, DADA2, and QIIME2 were used to process the sequence data. Taxonomy was assigned with the SILVA 138 reference database. Then, microbiota data were analyzed with differential abundances and taxa rankings. Differential abundance analyses were conducted via Wilcoxon signed-rank tests, Analysis of Compositions of Microbiomes with Bias Correction (ANCOMBC), and Linear Discriminant Analysis Effect Size (LEfSe). Compositional taxa rankings were created with DEICODE and Songbird. Qurro (Quantitative Rank/Ratio Observations) was used to visualize taxa rankings and sample log-ratio plots. Wilcoxon rank-sum tests or Welch's t-tests quantified Qurro findings. Results Using Wilcoxon signed-rank tests, Actinobacteriota increased by 130% in PRE compared to CON (P = 0.004, q = 0.02). Bifidobacterium and Anaerostipes increased by 200% (P = 0.001, q = 0.03) and 100% (P = 0.02, q = 0.16), respectively, while Roseburia and Ruminococcaceae CAG352 decreased by 36% (P = 0.03, q = 0.16) and 21% (P = 0.02, q = 0.16) in PRE compared to CON. From LEfSe, Bifidobacterium increased (d = 4.35, P = 0.03), while Dielma (d = 1.95, P = 0.03) and the Eubacterium brachy group (d = 2.08, P = 0.04) decreased. With Qurro, the ratio of top to bottom ranked taxa from DEICODE principal component axis 3 increased in PRE compared to CON (P = 0.05), with Bifidobacterium and Anaerostipes among top taxa. From the Songbird treatment differential, ratio of top to bottom ranked taxa increased in PRE compared to CON (P = 0.001), with Bifidobacterium among top taxa. Conclusions These findings reveal that Bifidobacterium enrichment was consistently detected using various analytic techniques. However, microorganisms that were affected to a lesser degree were not consistent across platforms. Funding Sources USDA National Institute of Food and Agriculture, Hatch Project 1,009,249.
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Erlich, Richard J., and Darlene F. Russ-Eft. "Assessing Academic Advising Outcomes Using Social Cognitive Theory: A Validity and Reliability Study." NACADA Journal 32, no. 2 (September 1, 2012): 68–84. http://dx.doi.org/10.12930/0271-9517-32.2.68.

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The validity and reliability of three instruments, the Counselor Rubric for Gauging Student Understanding of Academic Planning, micro-analytic questions, and the Student Survey for Understanding Academic Planning, all based on social cognitive theory, were tested as means to assess self-efficacy and self-regulated learning in college academic planning. The rubric assessed pre- and post-intervention self-regulated learning of academic-planning strategy levels. The micro-analytic questions assessed self-regulated learning during forethought and self-reflection phases. Post-intervention self-efficacy in academic planning and retrospectively evaluated pre-intervention self-efficacy were measured by the survey. All three instruments showed strong validity and reliability, but the survey did not distinguish between different self-efficacy challenge levels.
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Zhao, Hua. "075 Biospecimen banking research with circulating microRNAs: internal controls and pre-analytic variables." Cryobiology 67, no. 3 (December 2013): 419. http://dx.doi.org/10.1016/j.cryobiol.2013.09.081.

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32

Kohmer, N., A. Nagel, A. Berger, M. Enders, K. Hamprecht, K. Korn, M. Kortenbusch, K. Überla, and H. F. Rabenau. "Laboratory diagnosis of congenital CMV infection in newborns: Impact of pre-analytic factors." Journal of Clinical Virology 115 (June 2019): 32–36. http://dx.doi.org/10.1016/j.jcv.2019.03.017.

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33

Kistler, Werner M., and J. Leo van Hemmen. "Modeling Synaptic Plasticity in Conjunction with the Timing of Pre- and Postsynaptic Action Potentials." Neural Computation 12, no. 2 (February 1, 2000): 385–405. http://dx.doi.org/10.1162/089976600300015844.

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We present a spiking neuron model that allows for an analytic calculation of the correlations between pre- and postsynaptic spikes. The neuron model is a generalization of the integrate-and-fire model and equipped with a probabilistic spike-triggering mechanism. We show that under certain biologically plausible conditions, pre- and postsynaptic spike trains can be described simultaneously as an inhomogeneous Poisson process. Inspired by experimental findings, we develop a model for synaptic long-term plasticity that relies on the relative timing of pre- and post-synaptic action potentials. Being given an input statistics, we compute the stationary synaptic weights that result from the temporal correlations between the pre- and postsynaptic spikes. By means of both analytic calculations and computer simulations, we show that such a mechanism of synaptic plasticity is able to strengthen those input synapses that convey precisely timed spikes at the expense of synapses that deliver spikes with a broad temporal distribution. This may be of vital importance for any kind of information processing based on spiking neurons and temporal coding.
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Restelli, Veronica, Annemarie Taylor, Douglas Cochrane, and Michael A. Noble. "Medical laboratory associated errors: the 33-month experience of an on-line volunteer Canadian province wide error reporting system." Diagnosis 4, no. 2 (June 27, 2017): 79–86. http://dx.doi.org/10.1515/dx-2017-0013.

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AbstractBackground:This article reports on the findings of 12,278 laboratory related safety events that were reported through the British Columbia Patient Safety & Learning System Incident Reporting System.Methods:The reports were collected from 75 hospital-based laboratories over a 33-month period and represent approximately 4.9% of all incidents reported.Results:Consistent with previous studies 76% of reported incidents occurred during the pre-analytic phase of the laboratory cycle, with twice as many associated with collection problems as with clerical problems. Eighteen percent of incidents occurred during the post-analytic reporting phase. The remaining 6% of reported incidents occurred during the actual analytic phase. Examination of the results suggests substantial under-reporting in both the post-analytic and analytic phases. Of the reported events, 95.9% were reported as being associated with little or no harm, but 0.44% (55 events) were reported as having severe consequences.Conclusions:It is concluded that jurisdictional reporting systems can provide valuable information, but more work needs to be done to encourage more complete reporting of events.
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Roundy, Caleb S., David C. Lin, Paul J. Klopping, Ammon T. Ence, Anthony C. Krezel, and Jonathan R. Genzen. "Specimen Temperature Detection on a Clinical Laboratory Pre-Analytic Automation Track: Implications for Direct-from-Track Total Laboratory Automation (TLA) Systems." SLAS TECHNOLOGY: Translating Life Sciences Innovation 25, no. 3 (October 8, 2019): 293–99. http://dx.doi.org/10.1177/2472630319881999.

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Clinical laboratory regulations require temperature monitoring of facilities, reagent and specimen storage, as well as temperature-dependent equipment. Real-time specimen temperature detection has not yet been integrated into total laboratory automation (TLA) solutions. An infrared (IR) pyrometer was paired with a complementary metal oxide semiconductor (CMOS) laser sensor and connected to an embedded networked personal computer (PC) to create a modular temperature detection unit for closed, moving clinical laboratory specimens. Accuracy of the detector was assessed by comparing temperature measurements to those obtained from thermocouples connected to battery-operated data loggers. The temperature detector was then installed on a pre-analytic laboratory automation system to assess specimen temperature before and after processing on an integrated thawing and mixing (T/M) robotic workcell. The IR temperature detector was able to accurately record temperature of closed, moving specimens on a pre-analytic automation system. The effectiveness of the T/M workcell was independently verified using the temperature detector. Specimen reroute on the pre-analytic automation track was identified as a potential risk for frozen specimens being inadvertently delivered to future, connected instrumentation. Automated IR temperature detection can be used to verify specimen temperature prior to instrument loading and/or sampling. Such systems could be used to prevent frozen specimens from being inadvertently loaded onto analytical instrumentation in TLA solutions.
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36

Ahuja, O. P. "On the generalised Ruscheweyh class of analytic functions of complex order." Bulletin of the Australian Mathematical Society 47, no. 2 (April 1993): 247–57. http://dx.doi.org/10.1017/s000497270001248x.

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The main object of this paper is to identify various classes of analytic functions which are starlike, convex, pre-starlike, Ruscheweyh class of order α, β-spiral-like, β-convex-spiral-like, starlike of complex order, complex of complex order, and others as special cases of a family of analytic functions of complex order in the unit disk. This makes a uniform treatment possible. Finally, we derive sharp estimates for all coefficients of the functions from the family.
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37

Lin, Jian, Meiling Li, Chunsheng Cui, and Zhiyong Tian. "The least square pre-nucleolus for interval cooperative games based on anti-symmetric interval excess values." Journal of Intelligent & Fuzzy Systems 39, no. 3 (October 7, 2020): 3561–75. http://dx.doi.org/10.3233/jifs-191882.

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Considering both cardinal characteristics and double powers, the anti-symmetric interval excess value is defined. The least square pre-nucleolus for interval cooperative games is presented by making a single-objective programming model. We obtain the analytic expression of least square pre-nucleolus using Lagrange multiplier method, and construct an effective quadratic programming model to derive the least square pre-nucleolus of incomplete interval cooperative games. In addition, the application of least square pre-nucleolus in land pollution control is provided to show the validity of the proposed solution concepts.
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38

du Plessis, Quentin. "A Hohfeldian analysis of the Bill of Rights." South African Law Journal 139, no. 3 (2022): 577–622. http://dx.doi.org/10.47348/salj/v139/i3a5.

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In the scholarship on rights, one name is pre-eminent: Hohfeld. Despite this, there are two ways in which the Hohfeldian analysis of rights remains underappreciated. The first is that it is commonly assumed that the Hohfeldian analytic system applies only to private-law rights. The second is that South African lawyers remain mostly unfamiliar with the Hohfeldian analytic system. By providing a Hohfeldian analysis of the South African Bill of Rights, this article aims to set the record straight in both respects.
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39

Plebani, Mario, and Elisa Piva. "Medical Errors: Pre-Analytical Issue in Patient Safety." Journal of Medical Biochemistry 29, no. 4 (October 1, 2010): 310–14. http://dx.doi.org/10.2478/v10011-010-0039-2.

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Medical Errors: Pre-Analytical Issue in Patient SafetyThe last few decades have seen a significant decrease in the rates of analytical errors in clinical laboratories, while a growing body of evidence demonstrates that the pre- and post-analytical steps of the total testing process (TTP) are more error-prone than the analytical phase. In particular, most errors are identified in pre-pre-analytic steps outside the walls of the laboratory, and beyond its control. However, in a patient-centred approach to the delivery of health care services, there is the need to investigate, in the total testing process, any possible defect that may have a negative impact on the patient, irrespective of which step is involved and whether the error depends on a laboratory professional (e.g. calibration or testing error) or a non-laboratory operator (e.g. inappropriate test request, error in patient identification and/or blood collection). In the pre-analytic phase, the frequency of patient/specimens misidentification and the presence of possible causes of specimen rejection (haemolysis, clotting, insufficient volume, etc.) represent a valuable risk for patient safety. Preventing errors in the pre-analytical steps requires both technological developments (wristband, barcodes, pre-analytical workstations) and closer relationships with the clinical world to achieve an effective team-working cooperation. The most important lesson we have learned, therefore, is that laboratory errors and injuries to patients can be prevented by redesigning systems that render it difficult for all caregivers and in all steps of the total testing process to make mistakes.
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40

Muhammad Alam, Muhammad Sarwar, and Ashfaque Ahmad Shah. "Developing English Speaking Skill Indigenously Among the Prospective Teachers." Review of Economics and Development Studies 5, no. 4 (December 31, 2019): 731–40. http://dx.doi.org/10.26710/reads.v5i4.912.

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Present research experimentally studied the effectiveness of indigenously developed Content and Language Integrated Modular Approach (CLIMA) especially designed for developing English language ability among university students. CLIMA is a blend of Content and Language Integrated Approach and the Modular Approach. Two equated groups of total 52 students from Bachelor of Education Programme (semester-I) participated in this randomised pre-test post-test control group experiment. The content used herein comprised a purposefully designed module of 5 units. Both groups were taught by the same specifically trained teacher on same days with an interval of one hour between the sessions with the two groups. Experiment was completed in 30 sessions (1.5 hour each) during 10 weeks. For both pre- and post-testing, the researchers used the Analytic Rubric of Fairfax County Public Schools (Virginia, USA). This Analytic Rubric has been termed as the Performance Assessment for Language Students (PALS). The experimental group witnessed (pre-testing = 31.6%, post-testing = 80.8%) a value addition of 49.2%; and the control group witnessed (pre-testing = 31.2%, post-testing = 66.2%) a value addition of 35.0%. Compared with TOEFL and IELTS, conclusively, CLIMA was found highly effective. Results are discussed in detail in the paper.
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41

Kim, Kyosun. "Pre-Packing, Early Fixation, and Multi-Layer Density Analysis in Analytic Placement for FPGAs." Journal of the Institute of Electronics and Information Engineers 51, no. 10 (October 25, 2014): 96–106. http://dx.doi.org/10.5573/ieie.2014.51.10.096.

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42

Zheng, Xiao-Hui, Cui Cui, Xin-Xi Zhou, Yi-Xin Zeng, and Wei-Hua Jia. "Centrifugation: an important pre-analytic procedure that influences plasma microRNA quantification during blood processing." Chinese Journal of Cancer 32, no. 12 (December 5, 2013): 667–72. http://dx.doi.org/10.5732/cjc.012.10271.

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43

Zhu, Xinyi, Yongtaek Oh, Christine Chesebrough, Fengqing Zhang, and John Kounios. "Pre-stimulus brain oscillations predict insight versus analytic problem-solving in an anagram task." Neuropsychologia 162 (November 2021): 108044. http://dx.doi.org/10.1016/j.neuropsychologia.2021.108044.

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44

Dagnall, Casey L., Belynda Hicks, Kedest Teshome, Amy A. Hutchinson, Shahinaz M. Gadalla, Payal P. Khincha, Meredith Yeager, and Sharon A. Savage. "Effect of pre-analytic variables on the reproducibility of qPCR relative telomere length measurement." PLOS ONE 12, no. 9 (September 8, 2017): e0184098. http://dx.doi.org/10.1371/journal.pone.0184098.

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45

Butler, Allison M., Wiyada Charoensiriwatana, Piamnukul Krasao, Rotjanapan Pankanjanato, Penpan Thong-Ngao, Randall C. Polson, Gregory Snow, and Joel Ehrenkranz. "Newborn Thyroid Screening: Influence of Pre-Analytic Variables on Dried Blood Spot Thyrotropin Measurement." Thyroid 27, no. 9 (September 2017): 1128–34. http://dx.doi.org/10.1089/thy.2016.0452.

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46

Schutgens, Roger EG, Fred JLM Haas, Henk JT Ruven, Michael Spannagl, Klaus Horn, and Douwe H. Biesma. "No Influence of Heparin Plasma and Other (Pre)analytic Variables on D-Dimer Determinations." Clinical Chemistry 48, no. 9 (September 1, 2002): 1611–13. http://dx.doi.org/10.1093/clinchem/48.9.1611.

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47

Bai, Yalai, Juliana Tolles, Huan Cheng, Summar Siddiqui, Arun Gopinath, Eirini Pectasides, Robert L. Camp, David L. Rimm, and Annette M. Molinaro. "Quantitative assessment shows loss of antigenic epitopes as a function of pre-analytic variables." Laboratory Investigation 91, no. 8 (April 25, 2011): 1253–61. http://dx.doi.org/10.1038/labinvest.2011.75.

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48

Gregory, S. G., and J. F. Donati. "Analytic and numerical models of the 3D multipolar magnetospheres of pre-main sequence stars." Astronomische Nachrichten 332, no. 9-10 (December 2011): 1027–44. http://dx.doi.org/10.1002/asna.201111621.

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49

Kraus, Frank Bernhard, and Beatrice Ludwig-Kraus. "Measuring zinc on the Roche cobas c502 analyzer-Validation, comparison, and pre-analytic aspects." Journal of Clinical Laboratory Analysis 32, no. 1 (February 10, 2017): e22169. http://dx.doi.org/10.1002/jcla.22169.

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50

Luinstra, K., S. Castriciano, M. Ackerman, A. Petrich, S. Chong, J. Mahony, and M. Smieja. "P200 Improving pre-analytic collection systems: inactivation and preservation of influenza for rapid testing." International Journal of Antimicrobial Agents 34 (July 2009): S91. http://dx.doi.org/10.1016/s0924-8579(09)70419-4.

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