Search results

1

Game Efficiency of Wheelchair Rugby Athletes at the 2008 Paralympic Games with Regard to Player Classification

100%

Morgulec-Adamowicz N., Kosmol A., Bogdan M., Molik B., Rutkowska I., Bednarczuk G.

Human Movement

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2010

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vol. 11

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issue 1

29-36

EN

Purpose. The purpose of the study was to examine game efficiency of elite wheelchair rugby players in consideration of International Wheelchair Rugby Federation (IWRF) classification during the 2008 Paralympic Games played according to the old wheelchair rugby rules.Basic procedures. A group of 77 athletes representing 8 national teams participated in the study. Each team played 5 games for 32 min each. Athletes who played for more than 8 min in total at the 2008 Paralympics qualified for the study. The seven IWRF player point classes were collapsed into four groups. The game efficiency analysis was based on the IWRF Statistical Reports. The following six game efficiency parameters were analyzed: played time (T), sum of all points scored (PT), assist passes (AS), assist blocks (AB), turnovers (TO) and steals (ST).Main findings. The major finding of the study was that most differences in PT, AS, AB, TO and ST were found among all the examined groups (I-IV), except groups I and II. The played time (T) was not sensitive enough to identify significant differences among all the groups. This indicates that played time in the context of substitutions limited by classification point requirements does not reflect the differences between player classes.Conclusions. Generally, there was a tendency for highpoint class players to perform better. The study findings point to the importance of analysis of game efficiency of elite wheelchair rugby players with regard to their IWRF classification during tournaments played according to the new wheelchair rugby rules.

2

Polish National Registry for Fetal Cardiac Malformations (www.orpkp.pl) and negative verifications during the 10 years

100%

Respondek-Liberska M.

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2015

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vol. 5

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issue 4

4-11

EN

Polish National Registry for Fetal Cardiac Malformations ( initiated in 2004) was opened for primary practicioners as well as for the referral centers performing or basic fetal heart evaluation or targeted fetal echocardiography. None of the physicians until current era had regular education of fetal cardiology . It was necessary to create an audit - veryfication system, which was provided as a checking each record by the 3 most experienced fetal cardiologists in Poland, using randomised computer system. The aim of this analysis was a retrospective evaluation of „Negatively Verified” Material and methods: The total number of fetuses in Registry during 2004 and 2013 was 5682 and there were 170 negative verified cases. Every „negative case” was analyzed and qualified to one of five categories: An error in classification of the severity of CHD ; computer mistakes , reported other prenatal problems but not CHD, different interpretation of the images (freezed frames or cine loops) and bad order of the labels of cardiac anomalies. Results: The percentage of negative verifications was similar every year and total number of negative verification was 2,9% . The main reason for negative was first of all unproper fetal heart classification in 71 cases (42%). In majority the differences in interpretations were minor: but there were 5 huge differences between primary and secondary interpretation. Conclusions: 1) Fetal heart cardiology requires prenatal heart classification instead of pediatric classification 2) Computer mistakes (missing fields, missing diagnoses, lack of freezed frames or cine-loops) shoud be picked up by the system during up-loading of the cases 3) The different interpretation of the images could be used for teaching purpose of fetal cardiology .

3

Rare facial clefts

100%

Fijałkowska M., Antoszewski B.

Polish Journal of Surgery

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2015

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vol. 87(8)

389-394

EN

In 1976 Dr. Paul Tessier described numeric classification for rare craniofacial clefts. He first emphasized that a fissure of the soft tissue corresponds, as a general rule, to a cleft of the bony structure. The classification, easy to understand, became widely accepted because the recording of the malformations was simple and facilitated communication between observers. The aim of this study was to present our own experience with treatment of patients with rare facial clefts. Material and methods. Our Department has 11 patients with rare craniofacial clefts under its care. This group includes 8 boys and 3 girls. The patients aged from 2 months to 18 years at the time of the first consultation. Results. In two patients the cleft was median, in seven patients it was one-sided and in two – bilateral. The most common type of cleft was number 6, and the rarest were 2, 3, and 7. All patients underwent surgical treatment. Conclusions. Atypical facial clefts are rare congenital anomalies, however because of functional and aesthetic disturbances they constitute a serious medical and therapeutic problem. Facial clefts are characterized by variable clinical presentation and require individualized treatment plan.

4

Comparison of Machine Learning Techniques for Fetal Heart Rate Classification

100%

Cömert Z., Kocamaz A.

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2017

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vol. 132

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issue 3

451-454

EN

Cardiotocography is a monitoring technique providing important and vital information on fetal status during antepartum and intrapartum periods. The advances in modern obstetric practice allowed many robust and reliable machine learning techniques to be utilized in classifying fetal heart rate signals. The role of machine learning approaches in diagnosing diseases is becoming increasingly essential and intertwined. The main aim of the present study is to determine the most efficient machine learning technique to classify fetal heart rate signals. Therefore, the research has been focused on the widely used and practical machine learning techniques, such as artificial neural network, support vector machine, extreme learning machine, radial basis function network, and random forest. In a comparative way, fetal heart rate signals were classified as normal or hypoxic using the aforementioned machine learning techniques. The performance metrics derived from confusion matrix were used to measure classifiers' success. According to experimental results, although all machine learning techniques produced satisfactory results, artificial neural network yielded the rather well results with the sensitivity of 99.73% and specificity of 97.94%. The study results show that the artificial neural network was superior to other algorithms.

5

Biomechanical Performance Factors for Development of Minimum Disability Requirements in Para-taekwondo – Part 1

100%

O’Sullivan D., Fife G. P.

Central European Journal of Sport Sciences and Medicine

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2015

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vol. 11

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issue 3

63-69

EN

Objective: To assess taekwondo sparring performance variables, such as joint ranges of motion, reaction times, and kicking foot speeds, to serve as a framework for developing sport-specific classification in Para-taekwondo competition. Methods: After a standard taekwondo warm up, athletes executed five popular scoring techniques, back kick, cut kick, fast kick, turning kick, and tornado kick five times each (25 total). Kinematic and kinetic variables were recorded by a motion capture system of seven infrared cameras and two force plates. Maximum joint range of motion, foot velocities, and reaction time were calculated. Results: Collapsed over kick, maximum hip abduction motion, maximum hip flexion, maximum knee flexion, peak foot velocity, reaction time for male athletes were 47.8 ±10.4°, 46.3 ±7.6°, 105.3 ±14.0°, 11.5 ±2.4 m/s, and 0.46 ±0.06 s respectively. maximum hip abduction motion, maximum hip flexion, maximum knee flexion, peak foot velocity, reaction time for female athletes were 49.1 ±6.8°, 43.9 ±11.0°, 94.2 ±13.7°, 10.9 ±2.2 m/s, and 0.48 ±0.11 s respectively. Conclusions: The results of this study provide a foundational framework for future studies designed to compare and assess Para-taekwondo athletes with various physical and neurological impairments. From this, future studies may move towards developing practical on-site sport specific testing methods which may ultimately assist in making taekwondo-specific classification for Para-taekwondo competitions.

6

Frequency of various craniofacial clefts observed in a single center during a period of 34 years

100%

Fijałkowska M., Antoszewski B.

Polish Journal of Surgery

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2020

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vol. 92(1)

29-33

EN

Background: Orofacial clefts are the most common congenital anomalies of the head and neck. Aim: The aim of this paper is to present own group of patients with different types of isolated orofacial clefts. Material and method: A retrospective study presenting patients with different facial clefts was carried out in the group of 473 patients born in the city of Lodz. Results: In the whole group there were: 434 patients with cleft lip and/or palate, 28 with nose clefts and 11 with rare facial clefts classified according to Tessier categorization. Conclusion: In our group, the majority of cases comprised of typical cleft lip and/or palate. Nose clefts are not always a part of craniofacial clefts, but isolated nose clefts can occur and can be observed as midline defects or ala nasi anomaly. A simple system may be adequate for surgical repair, with the more detailed classification schemes important for further understanding of the disease.

7

Pore classification in the characterization of porous materials: A perspective

100%

Zdravkov B., Čermák J., Šefara M., Janků J.

Open Chemistry

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2007

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vol. 5

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issue 2

385-395

EN

Classification of pores is one of the basic requisites of comprehensive characterization of porous solids. There are various categorizations of pores described in the literature, but it is difficult to give a consistent global classification of porous substances including catalysts, adsorbents, oxides, carbons, zeolites, organic polymers, soils etc. The purpose of each of these classifications is to organize pores in classes by grouping them on the basis of their common characteristics like structure, size, accessibility, shape etc. In this study, a summary of the most used classifications of porous materials is done. Some common properties or behavior for individual classifications could be found, but many differences mainly in pore size are still subject of intensive discussions. Therefore, it is the purpose of this review to provide a general description of the concept and classification of pores in porous solids, to deal with complexity of the matter and to organise our knowledge in decision-making proccesses of pore characteristics determination.

8

Natural Resources, Classification of Natural Potential, Sustainable Development

100%

Rajović G., Bulatović J.

World News of Natural Sciences

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2017

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vol. 6

12-27

EN

Natural resources are limited, whether as a non-renewable or renewable. Planet Earth has a natural capacity and it is given for the human community. The current pace of development of the world economy and the accelerated population growth are threatened and may soon lead to exhaustion of non-renewable energy resources and exceed the speed of regeneration of renewable resources (water, energy, food), thus leading into questioning the survival of human communities and future generations. Only through the application of the principles of sustainable development (sustainable use of resources) and implementation of logic survival one can assure safe and steady growth to be followed by present and future needs of human being.

9

Uwagi o zmienności suewitów

100%

Kosina R.

Acta Societatis Metheoriticae Polonorum

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2017

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vol. 8

84-99

EN

Suevite is the impact breccia rock with glass particles that attracts the attention of researches because of its broad variability. Many characteristics of the environment and impact process determine this attention, and, in consequence, various descriptions and names of the rock are presented in the literature. The Rochechouart impact structure is a good example of suevite or suevite-like rock diversity in its several localities (Rochechouart, Chassenon, LaValette, Montoume). The relationships between suevite components and target rocks can be exemplified by Kara and Popigai and other astroblemes. To simplify the classification of the rock, its main and more stable components (matrix, glass, clasts) should be considered. More detailed analysis of the suevite components can be used for sub-classifications, similarly as it is done for other Earth rocks. In addition, a short description of suevites from various astroblemes is presented. The possibility of the monomict suevite breccia creation is discussed.

10

Sprint performance of male track athletes at Paralympic Games between 1992 and 2016

100%

Kosmol A., Bednarczuk G., Molik B., Buszta M.

Advances in Rehabilitation

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2020

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vol. 35

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issue 1

39-46

EN

Introduction This study sought to analyze performance progression in track and field sprint events (100-400 m) at Paralympic Games (PG) held between 1992 and 2016 and to make comparisons with Olympic athletes. Material and methods Of 19 sport classes, five were selected in which the ratio of world records (WRs) set by Paralympic athletes to WRs set by Olympic athletes was the highest (T13 – visual impairments, T38 – coordination impairments, T46/47 – upper limb deficiencies, T42 and T44 – amputations and with lower limb deficiencies, T54 – wheelchair users). Percentage indices, PG/OG performance ratio as well as competition density were used to assess changes in performance. Linear regression was applied to predict performance at 2021 PG. Results In the period from 1992 to 2016, PG finalists improved their results by 5 to 22% in all the classes, while OG finalists improved their performance by 1 to 2%. PG/OG performance ratio depended on the class and sprint distance. The highest ratio was noted in the case of T44 (0.92 for 200 m) and T54 (0.93 for 400 m). Conclusions The prediction showed the highest values of the coefficient of determination (R2>70%) in T38 and T44 in 100 m and T38 in 200 m. The data obtained from the prediction may determine coaches’ activities in terms of assessing an athlete’s chances of qualifying for 2021 PG finals.

11

Multi-Layer Perceptron Neural Network Utilizing Adaptive Best-Mass Gravitational Search Algorithm to Classify Sonar Dataset

88%

Mosavi M. R., Khishe M., Naseri M. J., Parvizi G. R., Ayat M., Mosavi M. R., Khishe M., Naseri M. J., Parvizi G. R., Ayat M.

Archives of Acoustics

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2019

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vol. 44

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issue 1

12

Signal Processing Deployment in Power Quality Disturbance Detection and Classification

88%

Dekhandji F.

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2017

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vol. 132

|

issue 3

415-419

EN

Power quality disturbances have adverse impacts on the electric power supply as well as on the customer equipment. Therefore, the detection and classification of such problems is necessary. In this paper, a fast detection algorithm for power quality disturbances is presented. The proposed method is a hybrid of two algorithms, abc-0dq transformation and 90ırc phase shift algorithms. The proposed algorithm is fast and reliable in detecting most voltage disturbances in power systems such as voltage sags, voltage swells, voltage unbalance, interrupts, harmonics, etc. The three-phase utility voltages are sensed separately by each of the algorithms. These algorithms are combined to explore their individual strengths for a better performance. When a disturbance occurs, both algorithms work together to recognize this distortion. This control method can be used for critical loads protection in case of utility voltage distortion. Simulation and analysis results obtained in this study illustrate high performance of the strategy in different single-phase and three-phase voltage distortions.

13

Classification and Decision-Making of Fully Mechanised Mining Technology Pattern for Thin Seam

88%

Wang C., Zhang Y., Liu Y., Jiang C., Zhang M., Wang C., Zhang Y., Liu Y., Jiang C., Zhang M.

Archives of Mining Sciences

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2021

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vol. 66

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issue 3

14

A Data Mining Approach for Analysis of a Wire Electrical Discharge Machining Process

75%

Dandge S. S., Chakraborty S., Dandge S. S., Chakraborty S.

Management and Production Engineering Review

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2021

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vol. 12

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issue 3

15

Application of poly-harmonic signals to eddy-current metal detectors and to advanced classification of metals

75%

Svatoš J., Pospíšil T., Vedral J.

Metrology and Measurement Systems

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2018

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vol. 25

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issue 2

16

Improved Method of Searching the Associative Rules while Developing the Software

75%

Savchuk T. O., Pryimak N. V., Slyusarenko N. V., Smolarz A., Smailova S., Amirgaliyev Y., Savchuk T. O., Pryimak N. V., Slyusarenko N. V., Smolarz A., Smailova S., Amirgaliyev Y.

International Journal of Electronics and Telecommunications

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2020

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vol. 66

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issue 3

17

Molecular Analysis of Sorbus Sp. from the Pieniny Mts. and its Relation to other Sorbus Species

75%

Dłużewska J., Ślesak I., Kruk J.

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vol. 55

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issue 1

18

Histerektomia brzuszna – przestrzenny model chirurgicznej resekcji tkankowej

75%

Zdrodowski M., Knapp P., Szyłejko A., Bernaczyk P.

Current Gynecologic Oncology

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2015

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vol. 13

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issue 4

245-255

EN

The paper presents current views on radical hysterectomy classification, including descriptive comments regarding the surgical extent and medical indications. Radical hysterectomy remains the primary surgical procedure in gynecologic oncology and is of particular importance for the treatment of patients with cervical cancer. A number of publications of the last decades failed to anatomically define radical hysterectomy – it was assumed that the issue is familiar based on Wertheim’s description. Attempts to systematize the therapeutic procedure resulted in a classification adapted to the current state of knowledge. Classification of radical hysterectomy published by Querleu and Morrow’s and later modified by Cibula and Abu-Rustum is the most current and commonly accepted system. The authors systematized previous, less precise classification, thus allowing to standardize terminology used in surgery reports, medical publications, clinical protocols and randomized trials. The uniqueness of this concept is due to the use of a three-dimensional model – Cibula and Abu-Rustum describe pelvic anatomical landmarks, allowing for a proper spatial orientation at different stages of surgical procedure, as well as the borders of resection for different anatomical elements (parametrium in particular). Standardization of radical hysterectomy procedure is also a key element in the education of gynecologic oncologists. Therefore, the presented classification should be known and used in everyday surgical practice.

PL

Celem pracy jest przedstawienie aktualnych poglądów na temat klasyfikacji zabiegów radykalnego usunięcia macicy z przydatkami wraz ze szczegółowym komentarzem co do zakresu operacji i wskazań do jej wykonania. Radykalna histerektomia pozostaje podstawowym zabiegiem chirurgicznym stosowanym w ginekologii onkologicznej, mającym szczególne znaczenie w leczeniu pacjentek z rakiem szyjki macicy. Wiele publikacji z ostatnich kilkudziesięciu lat nie definiowało anatomicznie zabiegu histerektomii radykalnej – zakładano znajomość tego zagadnienia na podstawie opisu podanego przez Wertheima. Próby usystematyzowania procedury terapeutycznej doprowadziły do stworzenia klasyfikacji dostosowanej do obecnego stanu wiedzy. Najaktualniejszą powszechnie akceptowaną klasyfikacją jest modyfikacja podziału Querleu i Morrowa dokonana przez Cibulę i Abu-Rustuma. Autorzy uporządkowali dotychczasowe, mniej precyzyjne podziały, co pozwoliło na standaryzację nazewnictwa używanego w raportach operacyjnych, publikacjach medycznych, protokołach klinicznych i badaniach randomizowanych. Unikatowość tego ujęcia wynika z zastosowania trójwymiarowego wzorca przestrzennego – Cibula i Abu-Rustum opisują orientacyjne punkty anatomiczne miednicy mniejszej, umożliwiające właściwą orientację na poszczególnych etapach procedury chirurgicznej, a także granice resekcji poszczególnych elementów anatomicznych (zwłaszcza przymacicz). Wystandaryzowanie procedury histerektomii radykalnej to również kluczowy element edukacji ginekologów onkologów. Prezentowana klasyfikacja powinna więc być znana i stosowana w codziennej praktyce chirurgicznej.

19

Rhinitis in children

75%

Ziuzia L., Dobrzyński P.

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vol. 8(2)

72-84

EN

Rhinitis (RN) is inflammation of the nasal mucous membrane, manifested by impaired patency, pruritus, sneezing and the presence of secretions. Depending on the mechanism of creation of an inflammatory reaction, RN is divided into: (1) allergic rhinitis (AR) and (2) nonallergic rhinitis (NAR), and in case of their overlap, it is said to be (3) mixed (MR). The basis for the diagnosis of NN are: physical examination and interview (including ENT) and properly selected auxiliary research. The fundamental approach in RN in children is: education of patients and their parents, avoiding exposure to irritants (including allergens), nasal irrigation, air humidification and proper hydration of the child, and pharmacotherapy, and in selected cases of ARN, also allergen specific immunotherapy. The basis of pharmacotherapy in RN are intranasal glucocorticoids (dnGKS) and second-generation antihistamines, although their efficacy in NAR is lower than in AR. Due to the high incidence and adverse consequences, such as: decreased quality of life, sleep and mood disorders, deterioration in school education and relationship with other diseases, including: asthma, adenoid hypertrophy, conjunctivitis, chronic inflammation of paranasal sinuses and otitis media, RN is an important clinical problem. It is necessary to further investigate the issue to better understand this problem and to avoid its negative consequences, especially in the paediatric population.

20

Analysis of the Extremely Low Frequency Magnetic Field Emission from Laptop Computers

75%

Brodić D.

Metrology and Measurement Systems

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2016

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vol. 23

|

issue 1

Refine search results

Game Efficiency of Wheelchair Rugby Athletes at the 2008 Paralympic Games with Regard to Player Classification

Polish National Registry for Fetal Cardiac Malformations (www.orpkp.pl) and negative verifications during the 10 years

Rare facial clefts

Comparison of Machine Learning Techniques for Fetal Heart Rate Classification

Biomechanical Performance Factors for Development of Minimum Disability Requirements in Para-taekwondo – Part 1

Frequency of various craniofacial clefts observed in a single center during a period of 34 years

Pore classification in the characterization of porous materials: A perspective

Natural Resources, Classification of Natural Potential, Sustainable Development

Uwagi o zmienności suewitów

Sprint performance of male track athletes at Paralympic Games between 1992 and 2016

Multi-Layer Perceptron Neural Network Utilizing Adaptive Best-Mass Gravitational Search Algorithm to Classify Sonar Dataset

Signal Processing Deployment in Power Quality Disturbance Detection and Classification

Classification and Decision-Making of Fully Mechanised Mining Technology Pattern for Thin Seam

A Data Mining Approach for Analysis of a Wire Electrical Discharge Machining Process

Application of poly-harmonic signals to eddy-current metal detectors and to advanced classification of metals

Improved Method of Searching the Associative Rules while Developing the Software

Molecular Analysis of Sorbus Sp. from the Pieniny Mts. and its Relation to other Sorbus Species

Histerektomia brzuszna – przestrzenny model chirurgicznej resekcji tkankowej

Rhinitis in children

Analysis of the Extremely Low Frequency Magnetic Field Emission from Laptop Computers