scholarly journals LL (1) Parser versus GNF inducted LL (1) Parser on Arithmetic Expressions Grammar: A Comparative Study

2020 ◽  
Vol 18 (02) ◽  
pp. 89-101
Author(s):  
Hassan Ali ◽  
Muhammad Shumail Naveed ◽  
Dilawar Naseem ◽  
Jawaid Shabbir
Keyword(s):  
Statistical Analysis ◽  
Normal Form ◽  
Processing Speed ◽  
Statistical Significance ◽  
Transformation Method ◽  
Arithmetic Expression ◽  
Kolmogorov Smirnov ◽  
Prime Objective ◽  
Greibach Normal Form ◽  
Arithmetic Expressions

The prime objective of the proposed study is to determine the induction of Greibach Normal Form (GNF) in Arithmetic Expression Grammars to improve the processing speed of conventional LL(1) parser. Conventional arithmetic expression grammar and its equivalent LL(1) is used in the study which is converted. A transformation method is defined which converts the selected grammar into a Greibach normal form that is further converted into a GNF based parser through a method proposed in the study. These two parsers are analyzed by considering 399 cases of arithmetic expressions. During statistical analysis, the results are initially examined with the Kolmogorov-Smirnov and Shapiro-Wilk test. The statistical significance of the proposed method is evaluated with the Mann-Whitney U test. The study described that GNF based LL(1) parser for arithmetic take fewer steps than conventional LL(1) grammar. The ranks and asymptotic significance depict that the GNF based LL(1) method is significant than the conventional LL(1) approach. The study adds to the knowledge of parsers itself, parser expression grammars (PEG’s), LL(1) grammars, Greibach Normal Form (GNF) induced grammar structure, and the induction of Arithmetic PEG’s LL(1) to GNF based grammar.

scholarly journals Characteristics of anteroposterior curvatures of the spine in soccer and futsal players

2017 ◽  
Vol 18 (4) ◽  
Author(s):  
Krystyna Chromik ◽  
Anna Burdukiewicz ◽  
Jadwiga Pietraszewska ◽  
Aleksandra Stachoń ◽  
Paweł Wolański ◽  
...  
Keyword(s):  
College Students ◽  
Statistical Analysis ◽  
Injury Prevention ◽  
Analysis Of Variance ◽  
Statistical Significance ◽  
Body Posture ◽  
Soccer Players ◽  
Prevention Training ◽  
The Difference ◽  
Post Hoc

AbstractPurpose. The aim of the study was to determine differences in anteroposterior spine curvatures between futsal players, soccer players, and non-training students. The results may contribute to the development of present-day knowledge of posturometry, and its implementation in training can help reduce the risk of body posture disorders in athletes. Methods. The examined group consisted of 48 athletes and 38 non-training college students. Body posture parameters were measured with the use of Posturometr-S. The normality of distribution was checked with the Shapiro-Wilk test, and the differences between the groups were measured with ANOVA and the Bonferroni post-hoc test. The level of statistical significance was set at p < 0.05. Results. The analysis of angle values revealed the widest and most similar measurements in the group of futsal players and soccer players. The analysis of variance proved statistically significant differences between the soccer players and futsal players (p = 0.003). The difference between the soccer players and non-training students was statistically significant. The highest γ angular value was measured in non-training students, followed by futsal players and soccer players. The statistical analysis revealed significant differences between the non-training students and futsal players, as well as non-training students and soccer players (p < 0.001). Conclusions. A complex assessment of athletes’ body posture is crucial in injury prevention. Training overloads may often lead to disorders of the organ of locomotion and affect the correct body posture in athletes. This, in turn, may result in pains and injuries.

scholarly journals Shear bond strength of orthodontic brackets to enamel after application of a caries infiltrant

2014 ◽  
Vol 85 (4) ◽  
pp. 645-650 ◽  
Author(s):  
Laura Mews ◽  
Matthias Kern ◽  
Robert Ciesielski ◽  
Helge Fischer-Brandies ◽  
Bernd Koos
Keyword(s):  
Statistical Analysis ◽  
Bond Strength ◽  
Shear Force ◽  
Shear Bond Strength ◽  
Orthodontic Brackets ◽  
Enamel Defects ◽  
Adhesive Remnant Index ◽  
Demineralized Enamel ◽  
Kolmogorov Smirnov ◽  
Bond Strengths

ABSTRACT Objective:  To examine differences in the shear bond strength of orthodontic brackets on differently mineralized enamel surfaces after applying a caries infiltrant or conventional adhesive. Materials and Methods:  A total of 320 bovine incisors were assigned to eight pretreated groups, and the shear force required for debonding was recorded. Residual adhesive was evaluated by light microscopy using the adhesive remnant index. Statistical analysis included Kolmogorov-Smirnov, analysis of variance (ANOVA), and Scheffé tests. Results:  The highest bond strength (18.8 ± 4.4 MPa) was obtained after use of the caries infiltrant. More residual adhesive and fewer enamel defects were observed on infiltrated enamel surfaces. Brackets on demineralized enamel produced multiple enamel defects. Conclusions:  Acceptable bond strengths were obtained with all material combinations. A caries-infiltrant applied before bracket fixation has a protective effect, especially on demineralized enamel.

Do longitudinal orthodontic trials use appropriate statistical analyses? A meta-epidemiological study

2021 ◽  
Author(s):  
Samer Mheissen ◽  
Haris Khan ◽  
Mohammed Almuzian ◽  
Emad Eddin Alzoubi ◽  
Nikolaos Pandis
Keyword(s):  
Statistical Analysis ◽  
Epidemiological Study ◽  
Data Extraction ◽  
Statistical Significance ◽  
Repeated Measure ◽  
Exact Test ◽  
Optimal Analysis ◽  
Study Characteristics ◽  
Measure Analysis ◽  
Repeated Measure Analysis

Summary Background In orthodontic trials, longitudinal designs with multiple outcome measurements over time are common. The aim of this epidemiological study was to examine whether optimal statistical analysis approaches have been used in longitudinal orthodontic trials. Methods Pubmed was searched in August 2021 for longitudinal orthodontic trials with at least three time points of outcome assessment published in the 2017–20 period. Study selection and data extraction were done independently and in duplicate. The analysis approaches undertaken were tabulated and associations between study characteristics and the use of optimal analysis or not were assessed using Fisher’s exact test and logistic regression. Results One hundred forty-seven out of 563 unique records were deemed eligible for inclusion. Only 26.50% of these trials used an optimal statistical analysis for longitudinal data where the data structure is accounted for. None of the study characteristics except the statistical significance of the results were associated with the appropriateness of the statistical analysis. The odds of significant results in studies with suboptimal analyses were higher than that in studies with optimal longitudinal analyses (odds ratio: 3.48, 95% confidence interval: 1.62, 7.46, P = 0.001). For the studies with optimal analysis, the most frequent test was repeated-measure analysis of variance (RM-ANOVA). The reporting of the statistical analysis section was suboptimal in the majority of the trials. Conclusion Most longitudinal orthodontic trials are not analysed using optimal statistical approaches. Inferences and interpretation of their results are likely to be compromised.

Oral acetaminophen administration for patent ductus arteriosus (PDA) closure in preterm neonates

2021 ◽  
Vol 43 (3) ◽  
pp. 254-259
Author(s):  
Mahmood Samadi ◽  
Zahra Nabaee ◽  
Manizheh Mostafagharebaghi ◽  
Majid Mahalei ◽  
Elham Sheykhsaran ◽  
...  
Keyword(s):  
Patent Ductus Arteriosus ◽  
Gestational Age ◽  
Statistical Significance ◽  
Ductus Arteriosus ◽  
Preterm Neonates ◽  
Term Infants ◽  
Treatment Data ◽  
Kolmogorov Smirnov ◽  
Study Population ◽  
Patent Ductus

Background: Patent Ductus Arteriosus (PDA) is considered one of the most prevalent types of congenital heart disease. The closure of the ductus arteriosus physiologically occurs at the first 48-72 hours after the birth in healthy term infants. Different causes can result in the pathological opening of ductus arteriosus. This study aims to investigate the effect of oral acetaminophen on the closure of PDA in preterm neonates. Methods: The present study is a trial without control. Forty-five preterm neonates with a gestational age of <32 weeks were studied. Acetaminophen was orally administered with a dose of 10mg/kg every 6 hours for three days. Closure of ductus arteriosus was considered as the success of treatment. Data were analyzed using SPSS 15. Data were reported as )frequency-percent) and mean ± SD. To evaluate the normal distribution of data, we used a Kolmogorov-Smirnov test. Statistical significance was defined as P<0.05. Results: The study population consisted of 20 male and 25 female infants with the mean gestational age of 28.95 ± 1.66 weeks. Cesarean-born infants and vaginal-born infants consisted 17.8% and 82.2% of the study population, respectively. The proportion of PDA closure after administration of oralacetaminophen was 82.3%. Conclusion: The current study indicates that oral acetaminophen is highly effective in closing PDA. Considering its trivial side effects, it has the potency to be a convenient option for treating this condition.

Wybrane parametry jakości ucisku i relaksacji klatki piersiowej wykonywanej przez personel pielęgniarski w ramach pozaszpitalnego nagłego zatrzymania krążenia ? badanie pilotażowe

2018 ◽  
Vol 21 (4) ◽  
Author(s):  
Paweł Więch ◽  
Marek Muster ◽  
Dariusz Bazaliński ◽  
Grzegorz Kucaba ◽  
Izabela Sałacińska ◽  
...  
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Statistical Analysis ◽  
Discharge Rate ◽  
Statistical Significance ◽  
Sudden Cardiac Arrest ◽  
Initial Examination ◽  
Relaxation Parameters ◽  
Primary Health

Introduction. Sudden cardiac arrest (SCA) in out-of-hospital conditions is a frequent condition of immediate life-emergency of cardiological background. The survival and discharge rate in SCA patients treated by medical services is still at a low level. Aim. The aim of the study was to analyze selected parameters of the quality of chest compressions and relaxation performed by nursing staff as part of out-of-hospital SCA. Material and methods. The study covered a group of 48 nurses working in primary health care in branches of conservative (PRE/C = 24 people, mean age 33.04 ± 9.20) and surgery profile (PRE/I = 24 people, average age 31.88 ± 9.97), participating in the research project of the Center for Medical and Natural Sciences Research and Innovation, University of Rzeszów in Rzeszów. Two months after the initial examination and intervention, the test was repeated. The assessment of selected compression and relaxation parameters was performed using the True CPR Resuscitation Assistant. The statistical analysis of the collected material was carried out with the SPSS Statistics 20 software. The statistical analysis used the analysis of variables using parametric and non-parametric tests. The statistical significance was assumed at p < 0.05. Results. Initially, a high percentage of the effectiveness of the most important compression and relaxation parameters of the chest was obtained during 2-minute out-of-hospital cardiopulmonary resuscitation with no statistically significant differences between the two groups (PRE/C: 51 mm depth, 83.92% relaxation, frequency 115.46 vs. PRE/I: depth: 47.58 mm, relaxation: 92.54, frequency: 109.96, p < 0.05). After two months, similar parametric values were observed with no statistical significance (p < 0.05). Conclusions. The initial high quality of compressions and relaxation was found in nurses participating in the simulated out-of-hospital SCA, while there were no significant differences between primary health care nurses working at conservative departments and nurses from surgical ones. After a two-month interval from the initial examination and training, high CPR effectiveness was observed based on the guidelines of the European Resuscitation Council from 2015.

scholarly journals On greibach normal form construction

1985 ◽  
Vol 40 ◽  
pp. 315-317 ◽  
Author(s):  
Friedrich J. Urbanek
Keyword(s):  
Normal Form ◽  
Greibach Normal Form

scholarly journals Three Evidence Based Methods to Compensate for a Lack of Subject Background when Ordering Chemistry Monographs

2008 ◽  
Vol 3 (3) ◽  
pp. 3
Author(s):  
Robert A. Wright
Keyword(s):  
Statistical Analysis ◽  
Statistical Significance ◽  
Evidence Base ◽  
Circulation Rate ◽  
Evidence Based ◽  
Practical Application ◽  
Present Evidence ◽  
Library System ◽  
Over Time ◽  
Selection Of

Objective – The aim of this article is to present evidence based methods for the selection of chemistry monographs, particularly for librarians lacking a background in chemistry. These methods will be described in detail, their practical application illustrated, and their efficacy tested by analyzing circulation data. Methods – Two hundred and ninety-five chemistry monographs were selected between 2005 and 2007 using rigorously-applied evidence based methods involving the Library's integrated library system (ILS), Google, and SciFinder Scholar. The average circulation rate of this group of monographs was compared to the average circulation rate of 254 chemistry monographs selected between 2002 and 2004 when the methods were not used or were in an incomplete state of development. Results – Circulations/month were on average 9% greater in the cohort of monographs selected with the rigorously-applied evidence based methods. Further statistical analysis, however, finds that this result can not be attributed to the different application of these methods. Conclusion – The methods discussed in this article appear to provide an evidence base for the selection of chemistry monographs, but their application does not change circulation rates in a statistically significant way. Further research is needed to determine if this lack of statistical significance is real or a product of the organic development and application of these methods over time, making definitive comparisons difficult.

scholarly journals Therapeutic Effect of Oral Administration and External Therapy of Traditional Chinese Medicine on Cervical Tuberculous

2019 ◽  
Vol 3 (3) ◽  
Author(s):  
Guoqiang Yang ◽  
Jin Zhang
Keyword(s):  
Statistical Analysis ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Oral Administration ◽  
Total Effective Rate ◽  
Statistical Significance ◽  
Effective Rate ◽  
Control Group ◽  
Treatment Data ◽  
Experimental Group

Objective: To analyze the clinical effect and value of oral administration and external therapy of traditional Chinese medicine for treatment of cervical tuberculous lymphadenopathy. Methods: A total of 56 patients with cervical tuberculous lymphadenopathy admitted to our hospital from January 1 to January 2018 were recruited. By using double-blind method, the patients were divided into control group (n=28) and experimental group (n=28). Control group comprised of patients with conventional anti-tuberculosis treatment, while the experimental group comprised of patients treated with oral administration and external therapy of traditional Chinese medicine. Total effective rate, incidence of complication and level of T lymphocyte subsets were compared between the two groups of cervical tuberculous lymphadenopathy patients. Results: Post-treatment data of total effective rate, complication rate, CD3+, CD4+, CD8+, CD4+/CD8+ of the experimental group were compared with the control group. P<0.05; statistical analysis showed statistical significance. Post-treatment data of CD3+, CD4+, CD8+, CD4+/CD8+ of both control and experimental groups were compared with pre-treatment data. P<0.05; statistical analysis showed statistical significance. Conclusion: Oral administration and external therapy of traditional Chinese medicine possesses significant effect in treatment of cervical tuberculous lymphadenopathy.

Statistical Verification of Process Model Conformance to Execution Log Considering Model Abstraction

2018 ◽  
Vol 27 (02) ◽  
pp. 1850002
Author(s):  
Sung-Hyun Sim ◽  
Hyerim Bae ◽  
Yulim Choi ◽  
Ling Liu
Keyword(s):  
Process Model ◽  
Process Mining ◽  
Statistical Significance ◽  
Conformance Checking ◽  
Model Abstraction ◽  
Verification Method ◽  
Statistical Verification ◽  
New Concepts ◽  
Kolmogorov Smirnov ◽  
Process Execution

In Big data and IoT environments, process execution generates huge-sized data some of which is subsequently obtained by sensors. The main issue in such areas has been the necessity of analyzing data in order to suggest enhancements to processes. In this regard, evaluation of process model conformance to the execution log is of great importance. For this purpose, previous reports on process mining approaches have advocated conformance checking by fitness measure, which is a process that uses token replay and node-arc relations based on Petri net. However, fitness measure so far has not considered statistical significance, but just offers a numeric ratio. We herein propose a statistical verification method based on the Kolmogorov–Smirnov (K–S) test to judge whether two different log datasets follow the same process model. Our method can be easily extended to determinations that process execution actually follows a process model, by playing out the model and generating event log data from it. Additionally, in order to solve the problem of the trade-off between model abstraction and process conformance, we also propose the new concepts of Confidence Interval of Abstraction Value (CIAV) and Maximum Confidence Abstraction Value (MCAV). We showed that our method can be applied to any process mining algorithm (e.g. heuristic mining, fuzzy mining) that has parameters related to model abstraction. We expect that our method will come to be widely utilized in many applications dealing with business process enhancement involving process-model and execution-log analyses.

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