Geographic information systems in schools geography (learning materials)

In early 60-ies of XX th century the computer is born and begin to inculcate in various range of life. Text data have been changed into digital databases. In late nineties computers becomes concurrent with our daily life. In year of 2001 government begins to fund computerizing of secondary schools in Lithuania. According, to analysis of situation in secondary schools computerization, we can admit that the level of computerization is high. Situation with geography computerization is quite comfortable too. It is good situation to begin apply GIS to secondary education. In year of 2002 a document of “Geography education standards for secondary schools” was realized, and GIS, as a part of geography, has his place in this document. Talking about textbooks of geography, it is only one of them that includes information about GIS (prepared by David Waugh), but considering to geography standards, to form informational skills of students, information about GIS in this textbook is insufficient. Looking for information about GIS we regarded of qualitative information standards, that is set by Education evolutionary centre. Information about GIS is divined into several rubric, they are: definition of GIS, history and birth of GIS, shape of data used in GIS, usage of GIS in modern world. It is important to overview all of those rubric as a main information that is needed to gain a modern calibre of geography. Introduction to GIS programs is important too. Because, at the moment, we don’t have a chance to introduce students with real GIS programs, we need to find alternative. In alternative we used a partly GIS programs, they are: Akis M, a digital map of Vilnius, a digital map of Lithuania and internet GIS program maps.lt. As analysis of Vilnius secondary schools showed, it is good situation to start teaching about GIS in schools. Elder student has main skills working with computer, and cause no problem during teaching about GIS process. Technology of GIS is evolving day by day and becomes a irreversible technology in daily life. As the irreversible par of geographic data storage, addition and processing GIS is appreciable by a lot of official and private institutions. That is because of GIS as a modern geography part, concurrent with traditional geography and extending limits of modern geography.Švietimo akademijaVytauto Didžiojo universiteta

Teamwork at the Lithuanian Air Force Armament and Equipment Repair Depot

Human resources are an extremely important resource for military organizations and therefore, in order to be able to work efficiently, they need to be properly managed. The selection and division of personnel is crucial for the commander of each unit, since the performance of the entire military unit usually depends on the effective, appropriate and required actions or solutions of one person or a group of persons. Leadership has become oriented towards co-operation, personnel motivation and the increase of responsibility. Therefore, due to changes in economic, organizational and social conditions, a cooperative management style with an important component of teamwork is used

Teamwork at the Lithuanian Air Force Armament and Equipment Repair Depot

Human resources are an extremely important resource for military organizations and therefore, in order to be able to work efficiently, they need to be properly managed. The selection and division of personnel is crucial for the commander of each unit, since the performance of the entire military unit usually depends on the effective, appropriate and required actions or solutions of one person or a group of persons. Leadership has become oriented towards co-operation, personnel motivation and the increase of responsibility. Therefore, due to changes in economic, organizational and social conditions, a cooperative management style with an important component of teamwork is used

Image analysis and modeling in medical image computing

Machine learning and neural networks are successfully applied in various regression and classification problems. Even though neural network models are used to make diagnosis based on medical images, there are still some areas where machine learning due to complexity of the problem has not been applied. One of those areas is ultrasound image analysis. The main distinct feature of this analysis is that the objects in the images are noisy and lack for clear edges. Moreover, final diagnosis requires an analysis of sequence of images. The fact that the interpretation of ultrasound images is not trivial exercise even for experts makes this problem a perfect candidate for the automation. In this paper, neural network capabilities are examined in the context of analysis and diagnosis based on ultrasound images. In order to compare results, paper focus on the heart echoscopy images and cardiovascular disease diagnostic problem. It has been shown that state-of-the-art convolutional neural networks trained with static images cannot be successful in making prediction based on ultrasound images. As a result, specific neural network architecture has been designed. This network showed accuracy of 75% and proved that neural networks can be successfully applied in making diagnosis based on ultrasound images

The impact of physiotherapy and swimming to posture, static trunk muscle endurance and balance for 10 – 12 years old children

Research subject: the impact of physiotherapy and swimming to posture, static trunk muscle endurance and balance for 10 –12 years old children. The research problem: According to Lithuanian health statistics, the most common disorders for school-age children are posture disorders. Research subject: To determine whether swimming is equally efficient as physical therapy exercises for 10 – 12 year old students’ posture, static trunk muscle endurance and body balance. Research objectives: 1. To assess the effect of physiotherapy in gymnastics hall to posture, static back muscle endurance and balance through the physical therapy for children with anomalous posture. 2. To evaluate the swimming effect to posture, static trunk muscle endurance, and balance through swimming training for children with anomalous posture. 3. To determine which method has a greater impact in improving posture, static trunk muscle endurance and balance for children with anomalous posture. Hypothesis: It is believed that swimming will have the same effect as physical therapy in gymnastics hall for students' posture, static trunk muscle endurance and balance. Research results: Static trunk muscle endurance and balance for both groups improved statistically significantly (p 0.05) comparing evaluated parameters. Conclusions: 1. Children’s posture, static trunk muscle endurance and balance statistically improved (p < 0.05) by practicing physical therapy in gymnastics hall. 2. Children’s static trunk muscle endurance and balance statistically improved (p < 0.05) by doing exercises in swimming pool, however, the posture was not improved statistically significantly (p ≥ 0.05). 3. Physiotherapy exercises in gymnastics hall and exercises in swimming pool have the same effect on improving children’s static trunk muscle endurance and balance, nevertheless, student’s posture improved statistically significantly (p < 0.05) only through physiotherapy in gymnastics hall. Recommendation: it is necessary to make an early diagnosis of the formation of spinal disorders in order to avoid severe health problems and to improve posture. In this case an earlier rehabilitation is needed. According to authors, children's posture should be checked 2-3 times a year, avoiding the spine and musculoskeletal disorders

The efficiency of physical therapy and swimming lessons to static trunk muscle endurance, balance and posture for 7 - 9 years old boys

Subject: influence of physical therapy and swimming lessons to static trunk muscle endurance, balance and posture for 7 - 9 years old boys. Research aim: Identify and compare the efficiency of physical therapy, and both physical therapy and swimming lessons' to static trunk muscle endurance, balance and posture for 7 - 9 years old boys. Objectives: 1. Evaluate the effect of physical therapy to static trunk muscle endurance, balance and posture for boys with irregular posture. 2. Evaluate the effect of physical therapy and swimming lessons' to static trunk muscle endurance, balance and posture for boys with irregular posture. 3. Determine which method improves efficiency to static trunk muscle endurance, balance and posture for boys with irregular posture. Research hypothesis: it is considered, that static trunk muscle endurance, balance and posture develops better for boys with both physical therapy and swimming lessons' compared to only physical therapy. Research results: balance, static trunk muscle endurance and posture improved statistically significant (p0,05) compared both groups. Conclusions: 1. Balance, static trunk muscle endurance and posture statistically significant improved by using physical therapy. 2. Balance, static trunk muscle endurance and posture statistically significant improved by using physical therapy and swimming lessons. 3. Physical therapy, and both physical therapy and swimming lessons', has equal effect of improving balance, static trunk muscle endurance and posture

Education

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Exploiting analytics techniques in CMS computing monitoring

The CMS experiment has collected an enormous volume of metadata about its computing operations in its monitoring systems, describing its experience in operating all of the CMS workflows on all of the Worldwide LHC Computing Grid Tiers. Data mining efforts into all these information have rarely been done, but are of crucial importance for a better understanding of how CMS did successful operations, and to reach an adequate and adaptive modelling of the CMS operations, in order to allow detailed optimizations and eventually a prediction of system behaviours. These data are now streamed into the CERN Hadoop data cluster for further analysis. Specific sets of information (e.g. data on how many replicas of datasets CMS wrote on disks at WLCG Tiers, data on which datasets were primarily requested for analysis, etc) were collected on Hadoop and processed with MapReduce applications profiting of the parallelization on the Hadoop cluster. We present the implementation of new monitoring applications on Hadoop, and discuss the new possibilities in CMS computing monitoring introduced with the ability to quickly process big data sets from mulltiple sources, looking forward to a predictive modeling of the system

Kalbos technologijos – būtina sąlyga kalbai egzistuoti

1992 m. įkurto Kompiuterinės lingvistikos centro (KLC) bene geriausiai žinomas produktas yra Dabartinės lietuvių kalbos tekstynas (DLKT)[1]. Jis, pasak KLC įkūrėjos prof. Rūtos Petrauskaitės, jau tapęs lietuviškojo interneto dalimi. Kompiuterinės lingvistikos centro tyrėjai pirmiausia ėmėsi rengti būtent šį kiekvienos kalbos kompiuterizavimui svarbų išteklių, nes tik sukaupus tekstyną buvo galima siekti pagrindinio centro tikslo – parengtų išteklių (tekstynų, duomenynų) pagrindu kurti lietuvių kalbai reikalingas kalbos technologijas. Per 25 metus KLC sėkmingai įvykdyta daugiau nei 15 nacionalinių ir tarptautinių projektų, publikuota aktualių mokslinių straipsnių bei reikšmingų monografijų. Tarp svarbesnių KLC pasiekimų galima paminėti KLC dalyvavimą europinėje TELRI infrastruktūroje[2], dalyvavimą kuriant pirmąją lietuvių kalbai skirtą anglų–lietuvių mašininio (automatinio) vertimo sistemą[3], vadovavimą kuriant lietuvių kalbos sintaksinės ir semantinės analizės informacinę sistemą[4]. Šiuo metu KLC kartu su partneriais atstovauja Lietuvai tarptautinės kalbos technologijos infrastruktūros konsorciume CLARIN ERICHumanitarinių mokslų fakultetasKompiuterinės lingvistikos centrasLituanistikos katedraUžsienio kalbų, lit. ir vert. s. katedraVytauto Didžiojo universiteta

Progress on machine and deep learning applications in CMS computing

Machine and Deep Learning techniques are being used in various areas of CMS operations at the LHC collider, like data taking, monitoring, processing and physics analysis. A review a few selected use cases - with focus on CMS software and computing - shows the progress in the field, with highlight on most recent developments, as well as an outlook to future applications in LHC Run III and towards the High-Luminosity LHC phase