Flow cytometry (FCM) is now the most widely used method to determine ploidy levels and genome size of plants. To get reliable estimates and allow reproducibility of measurements, the methodology should be standardized and follow the best practices in the field. In this article, we discuss instrument calibration and quality control and various instrument and acquisition settings (parameters, flow rate, number of events, scales, use of discriminators, peak positions). These settings must be decided before measurements because they determine the amount and quality of the data and thus influence all downstream analyses. We describe the two main approaches to raw data analysis (gating and histogram modeling), and we discuss their advantages and disadvantages. Finally, we provide a summary of best practice recommendations for data acquisition and raw data analysis in plant FCM.

• MeSH
• délka genomu MeSH
• kalibrace MeSH
• ploidie * MeSH
• průtoková cytometrie metody   MeSH
• reprodukovatelnost výsledků MeSH
• Publikační typ
• časopisecké články MeSH
• přehledy MeSH

Ciele. Cieľom štúdie bolo zistiť: 1. Aký je obraz diurnálnych preferencií vysokoškolských študentiek (obraz diurnálnych preferencií ako veličiny i distribúcia typov diurnálnych preferencií)? 2. Existuje podmienenosť spánkových návykov (spánkový režim, hodiny spánku a hodina ukladania sa k spánku) diurnálnymi preferenciami? 3. Existuje podmienenosť preferovanej doby učenia sa a študijnej úspešnosti typmi diurnálnych preferencií? Súbor a metóda. Výskumný súbor tvorili univerzitné študentky (n = 96), u ktorých autori administrovali Dotazník ranných a večerných typov (Horne, Östberg, 1976) a Sebavýpoveďovú škálu SN – Spánkové návyky (Sarmány- -Schuller, 1996). Hypotézy. Študentky s ranným chronotypom majú pravidelnejší spánkový režim v porovnaní so študentkami s večerným chronotypom. Medzi študentkami s ranným a večerným chronotypom existuje rozdiel v preferovanej dobe učenia sa. Ranný chronotyp preferuje dobu učenia sa cez deň a večerný chronotyp preferuje dobu učenia sa večer. Existuje medzi študentkami troch chronotypov rozdiel v študijnej úspešnosti. Ranný chronotyp má lepší priemerný prospech na rozdiel od večerného chronotypu. Štatistická analýza. Metódami štatistického spracovania boli: deskriptívna štatistika (frekvencie, percentá, minimálne a maximálne hodnoty, priemery a štandardné odchýlky, medián, histogram, krabičkový graf, variabilita, kontingenčné tabuľky). Inferenčná štatistika: t-test, chi-kvadrat test, analýza variancie. Kruskal-Wallisov test, Cramerov koeficient kontingencie (V), koeficient vecného rozdielu (d a eta), Bayesov faktor (BF). Získané dáta boli analyzované štatistickým programom SPSS a JASP. Výsledky. Distribúcia sumačného indexu diurnálnych preferencií skúmaných študentiek poukazuje na normalitu distribúcie. Distribúcie subjektívne identifikovaných typov diurnálnych preferencií sa podľa typov diurnálnych preferencií štatisticky vysoko významne nelíšia. V úrovni indexu diurnálnych preferencií sa subjektívne identifikované typy štatisticky významne líšia, no len čiastočne sa líšia vecne. Distribúcie sa podľa spánkového režimu medzi typmi diurnálnych preferencií štatisticky významne nelíšia. Priemerná hodnota hodín spánku je v jednotlivých typoch veľmi podobná. Medzi typmi preferencií je štatisticky významný i vecne závažný rozdiel z hľadiska priemerných hodín ukladania sa k spánku. Distribúcie preferovanej doby učenia sa a školského prospechu sa medzi typmi diurnálnych preferencií štatisticky významne nelíšia. Obmedzenia. Získané údaje o faktoroch, ktoré majú súvis so študijnou úspešnosťou, sú dôležité, ale predložené závery o spánkových návykoch sú spracované výhradne na vlastnom ohodnotení adolescentov v sebaposudzovacej škále. Výsledky výskumu platia iba pre skúmaný výskumný súbor.

Aims. The aim of the study was to find out: 1. What is the pattern of diurnal preferences of university students (the pattern of diurnal preferences as quantities and distribution of diurnal preference types)? 2. Are sleep habits (sleep mode, hours of sleep and bedtime) conditioned by diurnal preferences? 3. Are preferred learning time and learning success conditioned by the types of diurnal preferences? Research sample and method. The research sample consisted of university students (n=96) administered by The Morningness-Eveningness Questionnaire MEQ (Horne, Östberg, 1976) and Sleeping Habits Questionnaire: Self-Statement Questionnaire SN - Sleeping Habits (Sarmány- Schuller, 1996). Hypotheses. Morning-type students have a more regular sleep mode compared to the eveningtype students. There exists a difference in the preferred learning time between morning-type and evening-type students. Morning-type students prefer learning during the day and the evening type students prefer learning in the evening. There is also a difference in the study success between the students of these chronotypes. Morning-type students have better average study results than the evening-type ones. Statistical analyses. Statistical processing methods were: A. Descriptive statistics (frequencies, percentage, minimum and maximum values, averages and standard deviations, median, histogram, bar chart, variability, pivot tables). B. Inferential statistics: t-test, chi-square homogeneity test, variance analysis, Kruskal-Wallis test, Cramer coefficient of contingency (V), coefficient of mean difference (d and eta), Bayes factor (BF). The obtained data were analyzed by SPSS and JASP. Research results. The distribution of the summation index of the students’ diurnal preferences refers to the normality of distribution. The distributions of the subjectively identified types of diurnal preferences are not statistically significantly different. At the level of the diurnal preference index, the subjectively identified types differ statistically significantly, but they differ only partially materially. The distributions according to sleep mode do not differ significantly as regards the types of diurnal preferences. The average sleep time is very similar in each type. Among the types of preferences, there is a statistically and materially significant difference between the average bedtimes. The distributions of preferred learning time and study results do not differ significantly regarding the types of diurnal preferences. Research limitations. The obtained data on the factors related to the study success are important. However the present conclusions regarding the sleep habits are processed solely on the basis of the self-assessment scale. The research results are valid only for the research sample under investigation.

• MeSH
• cirkadiánní rytmus * MeSH
• dospělí MeSH
• interpretace statistických dat MeSH
• lidé MeSH
• školní úspěšnost MeSH
• spánková hygiena MeSH
• studenti psychologie   MeSH
• studium vysokoškolské MeSH
• učení MeSH
• zpráva o sobě MeSH
• Check Tag
• dospělí MeSH
• lidé MeSH
• ženské pohlaví MeSH

This paper focuses on research in expert elicitation as a part of the early stage health technology assessment (eHTA). The current state of affairs is analysed and two elicitation approaches are compared-the four fixed intervals method and the histogram method-as applied to an example of early assessment of clinical effectiveness of artificial thymus for patients with DiGeorge syndrome. A survey was carried out consisting of four questions concerning the topic, with the aim to apply the elicitation methods. Eight experts answered the questions using both elicitation methods. Based on their answers, the methods were compared visually and by means of statistical tests. In order to compare the perception of the two elicitation methods, the survey also included questions regarding the experts' subjective preferences. The results of the comparison of the two elicitation approaches did not clearly confirm which method was more beneficial and better; however, it was possible to indicate which of the two methods is better suited for different types of experts. Before selecting an elicitation method as a part of eHTA, it is advisable to effectively consider the technology to be assessed and the type of experts to be invited to share their opinion.

• Publikační typ
• časopisecké články MeSH

• MeSH
• statistika jako téma MeSH

• Konspekt
• Lékařské vědy. Lékařství
• NLK Obory
• statistika, zdravotnická statistika
• NLK Publikační typ
• kolektivní monografie

Nuclear genome size is an inherited quantitative trait of eukaryotic organisms with both practical and biological consequences. A detailed analysis of major families is a promising approach to fully understand the biological meaning of the extensive variation in genome size in plants. Although Orchidaceae accounts for ∼10% of the angiosperm diversity, the knowledge of patterns and dynamics of their genome size is limited, in part due to difficulties in flow cytometric analyses. Cells in various somatic tissues of orchids undergo extensive endoreplication, either whole-genome or partial, and the G1-phase nuclei with 2C DNA amounts may be lacking, resulting in overestimated genome size values. Interpretation of DNA content histograms is particularly challenging in species with progressively partial endoreplication, in which the ratios between the positions of two neighboring DNA peaks are lower than two. In order to assess distributions of nuclear DNA amounts and identify tissue suitable for reliable estimation of nuclear DNA content, we analyzed six different tissue types in 48 orchid species belonging to all recognized subfamilies. Although traditionally used leaves may provide incorrect C-values, particularly in species with progressively partial endoreplication, young ovaries and pollinaria consistently yield 2C and 1C peaks of their G1-phase nuclei, respectively, and are, therefore, the most suitable parts for genome size studies in orchids. We also provide new DNA C-values for 22 orchid genera and 42 species. Adhering to the proposed methodology would allow for reliable genome size estimates in this largest plant family. Although our research was limited to orchids, the need to find a suitable tissue with dominant 2C peak of G1-phase nuclei applies to all endopolyploid species.

• MeSH
• buněčné jádro genetika   MeSH
• délka genomu MeSH
• DNA rostlinná genetika   MeSH
• endoreduplikace genetika   MeSH
• genom rostlinný * MeSH
• listy rostlin genetika   MeSH
• Orchidaceae genetika   MeSH
• průtoková cytometrie * MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH

• MeSH
• lékařská informatika MeSH
• Publikační typ
• příručky MeSH

• Konspekt
• Lékařské vědy. Lékařství
• NLK Obory
• lékařská informatika

PURPOSE OF THE STUDY The aim of this prospective randomised study was to compare and statistically analyse two methods of condylar twist angle (CTA) measurement in total knee arthroplasty in order to assess their applicability in routine practice. MATERIAL AND METHODS The study included 238 patients with 256 sites undergoing total knee arthroplasty (TKA) in the period from January 2009 to May 2011. There were 93 men (nine with bilateral TKA) and 145 women (nine with bilateral TKA) with an average age of 69.3 years and a range of 47 to 88 years. The implants NexGen (Zimmer) and ADVANCE? Medial-Pivot Knee (Wright) were used. In each patient, CTA was measured before surgery by the radiologist on a multidetector CT SOMATOM 64 (Siemens) using the Yoshioki method. The other CTA measurement was made intra-operatively by the surgeon using our modification of the Hofmann method which involved the identification of a reference line for optimal rotational alignment of the femoral component. A STATISTICA 9.0 software package was used for statistical analysis. In addition to basic statistical data, selected data were presented in graphical forms as Box and Whisker's plots and histograms. Changes in CTA and differences between the groups were evaluated using the Wilcoxon signed-rank test. Relationships among the variables were studied using Spearman's correlation coefficient. RESULTS The statistical analysis showed that the pre-operative CTA value obtained from CT scans was, on the average, higher by 0.5 degrees than the value from intra-operative measurement, as assessed at the level of significance p = 0.001 (signed-rank test). The intra-individual variability was lower than the inter-individual one (14.4% and 30.8%, respectively). This means that both methods are suitable for CTA measurement in the knee joint replacement procedures. Spearman's correlation coefficient was 0.6, which is the value of medium strong correlation. The post-operative CTA assessed on CT scans was in the range of 0 to 2 degrees in 87.5% of the patients. Both the pre-operative and intra-operative CTA values were significantly higher in women than in men (Wilcoxon two-sample test). There was no statistical difference between the left and the right side. DISCUSSION Malrotation of the femoral component is one of the causes leading to patellar subluxation and pain in the front part of the knee. The post-operative CTA value should be zero. Optimal rotational alignment of the femoral component varies with each patient; in our study it was found in the range of 0 to 7 degrees on the basis of CTA values. We do not recommend 7 degrees of external rotation to be exceeded because of the risk associated with balancing the flexion gaps; nor do we recommend to set internal rotation of the femoral component for the risk of patellar complications. The difference of 0.5 degree found in the CTA value between the two measuring methods can be explained by individual differences in the anatomy of the medial epicondylar region, and by the use of only selected whole numbers (0, 3, 5, 7) in intra-operative measurements. This difference does not play any role in routine surgical procedures. CONCLUSIONS The statistical evaluation of the results of CTA measurement with the two methods showed that both were equally suitable for routine total knee arthroplasty. The results of intra-operative CTA measurements are comparable with those obtained on CT scans; in addition, the intra-operative method is less expensive and eliminates exposure of the patient to radiation. CT-based CTA measurements are useful in the patients with chronic problems afterTKA in whom femoral component malrotation needs to be either confirmed or ruled out.

• Klíčová slova
• CTA, condylar twist angle, Advance Medial - Pivot Knee, NexGen,
• MeSH
• chirurgie operační metody   využití   MeSH
• financování organizované MeSH
• interpretace statistických dat MeSH
• kolenní kloub chirurgie   patofyziologie   MeSH
• lidé středního věku MeSH
• lidé MeSH
• peroperační péče statistika a číselné údaje   využití   MeSH
• počítačová rentgenová tomografie statistika a číselné údaje   MeSH
• prospektivní studie MeSH
• protézy a implantáty využití   MeSH
• protézy kolene statistika a číselné údaje   využití   MeSH
• reprodukovatelnost výsledků MeSH
• rotace škodlivé účinky   MeSH
• rozsah kloubních pohybů MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• výsledek terapie MeSH
• výsledky a postupy - zhodnocení (zdravotní péče) statistika a číselné údaje   MeSH
• zobrazování trojrozměrné MeSH
• Check Tag
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• ženské pohlaví MeSH
• Publikační typ
• randomizované kontrolované studie MeSH
• srovnávací studie MeSH