220 research outputs found
FEATURES OF GORIČKO LANDSCAPE PARK IN THE CONTEXT OF ELEMENTARY-LEVEL TEACHING
Diplomsko delo z naslovom Vrednote Krajinskega parka Goričko v kontekstu pouka na razredni stopnji je sestavljeno iz treh delov. V teoretičnem delu so povzete glavne geografsko-zgodovinske in naravoslovne značilnosti Krajinskega parka Goričko. Predstavljeni so tudi cilji predmetov Spoznavanje okolja, Naravoslovje in tehnika ter Družba, ki se lahko realizirajo v Krajinskem parku Goričko. Nekaj besed je namenjenih še značilnostim pouka v naravi in stopnjam poučevanja na prostem.
V empiričnem delu diplomske naloge smo ugotavljali zadovoljnost učiteljev s ponudbami Krajinskega parka Goričko za učence razredne stopnje in kako posamezne šole v omenjenem parku te ponudbe izkoriščajo. Prav tako smo proučevali, kateri so razlogi, ki učiteljem otežujejo in onemogočajo, da bi se odločili za več ponujenih dejavnosti parka. Zanimalo nas je tudi, katero dejavnost so učitelji z učenci izvedli v tekočem šolskem letu in kakšen odnos, po mnenju učiteljev, kažejo učenci, ko izvajajo omenjene dejavnosti. Ugotavljali smo tudi, kakšno je znanje učiteljev o Krajinskem parku Goričko ali si želijo dodatnega izobraževanja o tej temi in v kakšnih oblikah.
V praktičnem delu so zbrane in predstavljene nekatere možne dejavnosti v Krajinskem parku Goričko, za katere se učitelji lahko odločijo in jih z učenci izvedejo ali obiščejo.This graduation paper, \u27The Values of Goričko landscape Park in the context of elementary school teaching\u27 consists of three sections. In the theoretical section, main historical, geographical and natural features of Goričko landscape park are described. Presented are also the course goals in subjects environment, science and technology and society, that can be achieved on location of the Goričko landscape park. Some attention is given to the characteristics of and stages of outdoor teaching/learning.
In the empirical section, the author wanted to establish teacher satisfaction with the Goričko landscape park programmes for elementary school pupils (aged 6-11) and how various schools take advantage of the offers at hand. Further on, reasons were studied which hinder teachers to embrace more activities the park has to offer. The author was also interested in what activities teachers had already been engaged in with their pupils in the current school year and what attitudes pupils exhibit when involved in these activities. Teachers\u27 knowledge about Goričko landscape park was established and whether they want any additional education on this topic and in what form.
In the practical section, some possible activities in Goričko landscape park are presented from which teachers can choose and visit / do with their pupils
Študentska feministična društva v Združenem kraljestvu v povezavi s tretjim valom feminizma
Intersekcionalnost in feministični aktivizem, 2016
Intersekcionalna perspektiva poudarja, da zatiranje v družbi izhaja iz številnih virov, ki se med seboj prepletajo in drug na drugega učinkujejo. Intersekcionalnost ni zgolj akademski projekt, je tudi del feminističnega aktivizma. Raziskava zajema analizo intersekcionalnosti v povezavi s študentskimi feminističnimi društvi, ki delujejo na 84 univerzah v Veliki Britaniji. Izvedena je bila s pomočjo intervjujev – pogovori z vodilnimi člani študentskih feminističnih društev v Združenem kraljestvu Velike Britanije in Severne Irske – in ankete, s katero smo zajeli večji delež članov društev.Intersectional perspective underlines the fact that oppression in a society has a number of sources, which interact and overlap one another. Intersectionality is not only an academic project, but is also part of feminist activism. In this research, intersectionality is analysed in relation to student feminist societies which operate at 84 universities throughout the United Kingdom. The study was conducted by using the method of interview – talks with leading members of student feminist societies across the United Kingdom – and survey, by which we included a larger proportion of members of student feminist societies
ANALYSIS AND COMPARISON OF PHOTOVOLTAIC SYSTEMS
V diplomski nalogi so predstavljeni obnovljivi viri energije s poudarkom na sončni energiji. Glavni namen naloge je analiza in primerjava proizvodnje električne energije na izbranih sončnih elektrarnah. Obravnavanih je šest sončnih elektrarn z različnimi istaliranimi močmi, predstavljeni so gradniki posamezne sončne elektrarne in opisana njihova postavitev. Meritev trenutnega toka niza modulov je izvedena s pomočjo programske opreme Visual basic. Na podlagi teh meritev je ugotovljeno, da na proizvodnjo električne energije sončnih elektrarn najbolj vpliva njihova lega in postavitev.The thesis deals with renewable energy sources with emphasis on solar energy. The main aim is to analyse and compare electricity generation in selected solar power stations. The subjects of the analysis are six photovoltaic systems with different power capacity. Building blocks of each solar photovoltaic system are presented and their placement is described. Module string current measurements are made with Visual Basic software. On the basis of the measurements, it is concluded that position and placement are the most influential factors concerning electricity generation in photovoltaic systems
Genotyping of bacteria Chlamydia trachomatis by sequencing
Chlamydia trachomatis je obvezna znotrajcelična bakterija, za katero je značilen edinstven dvofazni razvojni krog. Zaradi prilagoditve na znotrajcelični parazitizem je družina Chlamydiaceae izgubila številne gene, kar je vodilo v zmanjševanje velikosti njihovega genoma. Serovari imajo genom velik približno 1 Mb. Sevi so razvrščeni v serovare na osnovi nukleotidnih razlik zaporedja v genu ompA, ki kodira poglavitno beljakovino zunanje membrane. Bakterija parazitira samo pri človeku in povzroča očesne in genitalne okužbe. Delimo jo lahko v tri biovare, ki slonijo na serovarih, en je povezan s trahomom (serovari A−C), drug z urogenitalnimi infekcijami (serovari D−K) in tretji z dimeljskim limfogranulomom (serovari L1−L3). Chlamydia trachomatis je najpogostejši bakterijski povzročitelj spolno prenosljivih bolezni v svetu. V magistrski nalogi nas je zanimalo, kateri genotipi C. trachomatis najpogosteje povzročajo okužbe. V raziskavi smo uporabili 126 izolatov C. trachomatis, pridobljenih iz kužnin bolnikov v letu 2014. Izvedli smo genotipizacijo gena ompA bakterije C. trachomatis s sekvenciranjem. Rezultati so pokazali, da je bil najbolj razširjen genotip E (51,6 %), sledil mu je genotip F (20,2 %), G (11,3 %), K (8,1 %), D (4%), J (2,4 %), H (0,8 %) in Ia ter Ja (0,8 %). Rezultati genotipizacije naše raziskave so bili primerljivi z nedavnimi rezultati različnih študijskih skupin v Evropi.Chlamydia trachomatis is a compulsory intracellular bacterium which is characterized by a unique biphasic developmental cycle. Chlamydiaceae have undergone a massive genome reduction during the patho-gen’s ancient transition to the intracellular habitat. Serovars have a genome which is the size of about 1 Mb. Strains are classified into serovars based on nucleotide sequence differences in ompA, the gene that encodes the major outer membrane protein. Bacterium exclusively infects humans and cause ocular and genital infections. Chlamydia trachomatis is divided into three distinct biovars, based on serovarsone is associated with trachoma (serovars A–C) another with urogenital infections (serovars D–K) and the third with lymphogranuloma venereum (serovars L1–L3). Chlamydia trachomatis is a leading cause of sexually transmitted bacterial disease worldwide. In our study we wanted to find out which genotypes of C. trachomatis most frequently cause infections in our population. We analysed 126 isolates of bacterium C. trachomatis obtained from the patients in the year 2014 by genotyping the gene ompA with sequencing. The results showed that the most frequent genotype was E (51.6 %), followed by F (20.2 %), G (11.3 %), K (8.1 %), D (4 %), J (2.4 %), H (0.8 %), Ia and Ja (0.8 %). The results of our study were comparable with those of other research groups in Europe in the recent years
ITS SUPPORT OF TRANSPORT COMPANIES AND THEIR CUSTOMERS
V današnjem času, kjer prednost pred konkurenco pomeni obstoj podjetja na trgu, so podjetja v nenehnem iskanju za izboljšavami ter posledično povečanjem storilnosti z manjšimi stroški ob ohranjanju oziroma dvigu kvalitete storitev. Zaradi navedenih razlogov se podjetja na področju logistike vse bolj poslužujejo informacijske tehnologije. Vsi členi v logistični verigi, od izvajalcev transportnih storitev do njihovih uporabnikov, si iščejo to prednost s pomočjo ITS oziroma inteligentnih transportnih sistemov.
Diplomska naloga predstavlja sledilne sisteme in njihove zmogljivosti za transportna podjetja ter hkrati tudi projekt KASSETTS kot orodje za optimizacijo stroškov na področju logistike za manjša in srednja podjetja brez lastnega voznega parka oziroma manjšimi enotami proizvodnje. Prikazali bomo prednosti in koristi koriščenja ITS za optimizacijo stroškov ter učinkovitosti.In times when a competitive advantage represents a chance to survive on global market, companies are in constant search of improvements. So they could lower their costs and at the same time improve their efficiency while maintaining the same or better level of service. Because of those reasons the companies in the logistics field are more and more in touch with information technology. All links in the logistic chain are searching for this competitive advantage with help of ITS (Intelligent Transportation Systems).
The thesis represents the fleet tracking system and their capabilities for transport companies. And at the same time it represents project KASSETTS as a tool for optimizing the costs of logistics for SMEs (Small And Medium Enterprises) without their own fleet. We will show the advantages and benefits of ITS to optimize the cost efficiency
TT¯ flows and (2, 2) supersymmetry
We construct a solvable deformation of two-dimensional theories with (2, 2) supersymmetry using an irrelevant operator which is a bilinear in the supercurrents. This supercurrent-squared operator is manifestly supersymmetric and equivalent to T (T) over bar after using conservation laws. As illustrative examples, we deform theories involving a single (2, 2) chiral superfield. We show that the deformed free theory is on-shell equivalent to the (2, 2) Nambu-Goto action. At the classical level, models with a superpotential exhibit more surprising behavior: the deformed theory exhibits poles in the physical potential which modify the vacuum structure. This suggests that irrelevant deformations of T (T) over bar type might also affect infrared physics
Exploring Factors Influencing Speeding on Rural Roads: A Multivariable Approach
Speeding is one of the main contributing factors to road crashes and their severity; therefore, this study aims to investigate the complex dynamics of speeding and uses a multivariable analysis framework to explore the diverse factors contributing to exceeding vehicle speeds on rural roads. The analysis encompasses diverse measured variables from Croatia’s secondary road network, including time of day and supplementary data such as average summer daily traffic, roadside characteristics, and settlement location. Measuring locations had varying speed limits ranging from 50 km/h to 90 km/h, with traffic volumes from very low to very high. In this study, modeling of influencing factors on speeding was carried out using conventional and more advanced methods with speeding as a binary dependent variable. Although all models showed accuracy above 74%, their sensitivity (predicting positive cases) was greater than specificity (predicting negative cases). The most significant factors across the models included the speed limit, distance to the nearest intersection, roadway width, and traffic load. The findings highlight the relationship between the variables and speeding cases, providing valuable insights for policymakers and law enforcement in developing measures to improve road safety by determining locations where speeding is expected and planning further measures to reduce the frequency of speeding vehicles
Ago S I, Experimental, Single-seat, Low-level, Attack Biplane
Front portside view of Ago S I standing in front of a building. Image displayed (72 dpi JPEG), Master image (300 dpi TIFF)
Prediction of S&P 500 stock market index using recurrent neural networks
Diplomska naloga se ukvarja z napovedovanjem borznega indeksa S&P 500. Ta je pogosto uporabljena mera za stanje ameriškega gospodarstva, saj je sestavljena iz širokega spektra podjetij.
Spremembe indeksa je možno opazovati na različnih intervalih. Odločili smo se izdelati modele za napovedi indeksa in njegove volatilnosti na urnem intervalu in na dnevnem intervalu. Modeli so bili učeni in preizkušeni na zgodovinskih podatkih. Ker pa je indeks časovna vrsta, smo preizkusili rekurenčne nevronske mreže in jih primerjali z uspešnim modelom XGBoost.
Preizkusili smo celice RNN, LSTM in GRU. Pri napovedih na urnem nivoju je bil najboljši model s celicami GRU z relativno povprečno napako 0,221 in napako 0,095 pri napovedih volatilnosti. Za napovedi dnevnih razlik smo najprej uporabili dekompozicijo časovne vrste, da smo iz podatkov odstranili trend. Tako so se starejši podatki bolje posplošili na najnovejše. Izdelali smo model, sestavljen iz LSTM celic, ki smo jim dodali rekurenčni osip in normalizacijo plasti. Tako smo dobili model, ki dosega relativno povprečno napako 0,6104.The thesis deals with forecasting the S&P 500 stock market index. This is a commonly used metric for the state of US economy, as it consists of many companies. Index changes can be observed at different intervals. We decided to create models for forecasting the index and its volatility on a hourly interval and on a daily interval. The models were trained and tested on historical data. Since the index is a time series, decided to tested recurrent neural networks and compared them with sucessful XGBoost algorithm.
We tested RNN, LSTM and GRU cells. For hourly forecasts, the GRU cell model was the best with a relative mean error of 0.221 and an error of 0.095 in the volatility forecast. For the daily difference predictions, we first used time series decomposition to remove the trend from the data so that older data generalized better. We created a model consisting of LSTM cells to which we added recurrent dropout and layer normalization. Thus, we obtained a model that achieves a relative mean error of 0.6104 in the predicted differences
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