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Motivatsioon Eesti väikeettevõtja ettevõtluspüüdluses
No full texthttps://www.ester.ee/record=b5761573*es
Modernization of the Payments Backoffice Component in Playtech’s Information Management Solution
No full textPayments Backoffice is a component of Playtech’s information management solution that focuses on payment-related operations. The goal of the bachelor’s thesis was to modernize the Payments Backoffice web pages, which had been developed using the Java web application framework Apache Tapestry. Creating further developments with this framework was time-consuming, and its support in the development environment IntelliJ IDEA was limited. By analyzing the web pages in need of modernization, the author identified 26 different weaknesses. To improve the component’s maintainability and user experience, the author redeveloped the web pages using the Vue.js framework, the Vuetify library and the Java programming language with the JAX-RS API specification. Using Vue.js and Java allowed the development to continue with previously adopted and modern technologies, while also creating a consistent look for the component. The modernized web pages received positive feedback from the team working with the component and the product owner, and were taken into use by the users of the information management solution.Payments Backoffice on Playtechi infokorralduslahenduse komponent, mis keskendub maksetega seotud toimingutele. Bakalaureusetöö eesmärk oli moderniseerida Payments Backoffice’i veebilehti, mis olid loodud Java veebirakenduse raamistikuga Apache Tapestry. Selle raamistikuga edasiarenduste loomine oli ajamahukas ning selle tugi arenduskeskkonnas IntelliJ IDEA oli piiratud. Analüüsides moderniseerimist vajavaid veebilehti tuvastas töö autor 26 erinevat nõrkust. Komponendi parema hooldatavuse ja kasutajakogemuse nimel arendas autor veebilehed ümber kasutades raamistikku Vue.js, teeki Vuetify ja programmeerimiskeelt Java koos API spetsifikatsiooniga JAX-RS. Raamistiku Vue.js ja programmeerimiskeele Java kasutamine võimaldas jätkata arendust varasemalt kasutusele võetud ja kaasaegsete tehnoloogiatega ning luua komponendile ühtlane ilme. Valminud veebilehed on saanud positiivse tagasiside nii komponendiga tööd tegevalt meeskonnalt kui tooteomanikult ja võeti kasutusele infokorralduslahenduse kasutajate poolt
Tumeda elurikkuse käsitlus putukakooslustes
No full textEukarüootsete liigirikkusest moodustavad putukaliigid ligikaudu poole, mistõttu mängivad nad olulist rolli ökosüsteemide toimimisel. Samuti on nad väärt bioindikaatorid, mistõttu annab nende uurimine ka olulist infot ümbritseva keskkonna kohta. Oma suure liigirikkuse tõttu on putukate klass aga üks alauuritumatest. Üldlevinud arvamuseks on, et putukate elurikkus on langustrendis, kuid on ka leitud, et mõnede taimtoiduliste ja magevee-eluliste putukakoosluste arvukus on tõusnud. Putukate uurimiseks kogutakse andmeid traditsiooniliselt erinevate püünistega, kuid käesoleval ajal on hakatud ka kasutama elusäästvamaid lahendusi (kaamerad, helisalvestised, radar, lidar ja eDNA) . Tume elurikkus on hulk liike, mis võiksid kindlas uurimisalas elada, kuid miskipärast seda ei tee, kuigi on teada, et nad oleksid võimelised sinna levima ning seal ellu jääma. Tumeda elurikkuse käsitlus on osa laiemast liigifondi teooriast, moodustades liigifondi puuduva osa. Liikide tumedasse elurikkusesse kuulumist võivad mõjutada näiteks kehv levimisvõime, ökoloogiline spetsialiseeritus, konkurents ja inimmõju. Käesolevas töös vaadeldi, millised funktsionaalsed tunnused eristavad Lõuna-Eesti metsades elavaid tumeda elurikkuse jooksiklaste liike. Tulemustest ilmnes, et kõik tunnused ei pruugi üksteisest sõltumatud olla. Vaadeldud elurikkuses on liigid, kelle tunnused on iseloomulikumad metsas elavatele liikidele: nad on keskmisest suuremad, öise eluviisiga ning nende sigimisaeg on sügisel. Sellest võib järeldada, et Lõuna-Eesti on sealsetele metsa eelistavatele jooksiklastele piisavalt metsarikas. Putukate tumeda elurikkuse uurimise tööprotsess ei erine oluliselt võrreldes teiste organismirühmade uurimisega. Erinevalt taimedest ja seentest, kes on paikse eluviisiga, on putukad liikuvad organismid, mistõttu tuleb arvestada suurema tõenäosusega, et tumedas elurikkuses paiknev liik võib olla hoopis peidetud elurikkuses. Muus osas on aga tööprotsess samasugune, mistõttu saab tumeda elurikkuse uurimist edukalt ka putukakooslustes rakendada. Putukate tumeda elurikkuse mõistmine annab paremaid teadmisi uurimisaladel eksisteerivatest putukakooslustest ning neid mõjutavatest teguritest. See omakorda toob meid sammukese lähemale ökosüsteemi toimimise mõistmisele ning võimaldab teha paremaid looduskaitselisi otsuseid.
Insects make up for approximately half of the species richness among eukaryotic organisms, and thus play a crucial role in maintaining ecosystem functions. They are also valuable bioindicators, providing important information about surrounding environmental conditions. However, due to immense diversity of insects, they are one of the most under-researched animal groups. It is generally believed that insect biodiversity is in decline, although some studies have shown increases in the abundance of certain herbivorous and freshwater-associated insect communities. Traditionally, insect research has relied on various types of trapping methods, but more non-lethal approaches are increasingly being adopted (such as cameras, sound recordings, radar, lidar, and eDNA). Dark diversity refers to the set of species that could potentially inhabit a given area based on ecological suitability but are currently absent, despite being capable of dispersing and surviving there. The dark diversity concept is part of the species pool theory, representing the missing portion of the species pool. Various factors, such as poor dispersal ability, ecological specialization, high environmental biodiversity, and human influence, can affect a species’ inclusion in dark diversity. This study examined which functional traits distinguish dark diversity ground beetle species in the forests of Southern Estonia. The results indicated that not all traits are independent of one another. Overall, it appears that the observed diversity includes species with traits that are characteristic of forest-dwelling beetles: they tend to be larger than average, nocturnal, and breed in autumn. This suggests that Southern Estonia has a sufficient amount of forest habitat to support forest-dwelling beetles. The process of studying dark diversity in insects does not differ significantly from studies of other organism groups. Unlike plants and fungi, which are sessile, insects are mobile organisms, which means there is a higher probability that a species categorised under dark diversity might actually be part of the hidden diversity instead. Apart from this, the methodological approach remains similar, which means that the dark diversity concept can be effectively applied to insect communities as well. Understanding the dark diversity of insects provides better insight into the insect communities present in study areas and the factors influencing them. This, in turn, brings us a step closer to a better understanding of ecosystem functioning and enables better conservation decisions
Muusikateadusliku elu kroonikat 2024/2025
Get PDFEesti Vabariik, KultuuriministeeriumRepublic of Estonia, Ministry of Cultur
Tudengite küsitavate teaduspraktikate suhtes kujunenud hoiakute muutmine
Get PDFKüsitavad teaduspraktikad on halli alasse kuuluvad ja teaduse usaldusväärsust kahjustavad käitumisviisid. Uurimistöö eesmärgiks oli leida elemendid, mis mõjutavad küsitavate teaduspraktikate suhtes hoiakute kujunemist magistrantidel ning integreerida neid eetikaõpetuses. Uuringus osales kokku 99 inimest. Töö koosnes mitmest osast: eksperimentaal- ja kontrollgrupi hoiakuid mõõdeti enne ja pärast 70-80-minutilist sekkumist ning 1 kuu möödudes. Katseisikud hindasid küsitavate teaduspraktikate (andmete selektiivne raporteerimine, tagantjärele hüpoteesi püstitamine ja andmete kustutamine) eetilist lubatavust kuue vinjeti kaudu, mis sisaldasid ka paralleelversioone ja olemasolevate uuringute arvu tasemeid. Katseisikud hindasid ka teaduseetikast arusaamist. Hüpoteesid ei leidnud kinnitust. Tudengid hindasid andmete kustutamist läbivalt eetiliselt lubamatumaks kui selektiivset raporteerimist ja tagantjärele hüpoteesi muutmist. Leiti seos teaduseetikast arusaamise ja selektiivse raporteerimise eetilisusele antud hinnangu vahel
Predictability of Microsyntactic Units across Slavic Languages: A translation-based Study
No full textThe paper presents the results of a free translation experiment, which was set up to explore Slavic cross-language intelligibility. In the experiment, native speakers of Russian were asked to read a sentence in one of the five Slavic languages and return a Russian translation of a highlighted item. The experiment is focused on microsyntactic units because they offer an increased intercomprehension difficulty due to opaque semantics. Each language is represented by at least 50 stimuli, and each stimulus has generated at least 20 responses. The levels of intercomprehension are captured by categorising participants' responses into seven types of translation solutions (paraphrase, correct, fluent_literal, awkward_literal, fantasy, noise, and empty), generally reflecting the level of the cross-linguistic intelligibility of the stimuli. The study aims to reveal linguistic factors that favour intercomprehension across Slavic languages. We use regression and correlation analysis to identify the most important intercomprehension predictors and statistical analysis to bring up the most typical cases and outliers. We explore several feature types that reflect the properties of the translation tasks and their outcomes, including point-wise phonological and orthographic distances, cosine similarities, surprisals, translation quality scores and translation solution entropy indices. The experimental data confirms the expected gradual increase of intelligibility from West-Slavic to East-Slavic languages for the speakers of Russian. We show that intelligibility is highly contingent on the ability of speakers to recognise and interpret formal similarities between languages as well as on the size of these similarities. For several Slavic languages, the context sentence complexity was a significant predictor of intelligibility
The Workshop on Automatic Assessment of Atypical Speech (AAAS-2025). Proceedings of the Workshop
Get PDFDoes Preprocessing Matter? An Analysis of Acoustic Feature Importance in Deep Learning for Dialect Classification
Get PDFThis paper examines the effect of preprocessing techniques on spoken dialect classification using raw audio data. We focus on modifying Root Mean Square (RMS) amplitude, DC-offset, articulation rate (AR), pitch, and Harmonics-to-Noise Ratio (HNR) to assess their impact on model performance. Our analysis determines whether these features are important, irrelevant, or misleading for the classification task. To evaluate these effects, we use a pipeline that tests the significance of each acoustic feature through distortion and normalization techniques. While preprocessing did not directly improve classification accuracy, our findings reveal three key insights: deep learning models for dialect classification are generally robust to variations in the tested audio features, suggesting that normalization may not be necessary. We identify articulation rate as a critical factor, directly affecting the amount of information in audio chunks. Additionally, we demonstrate that intonation, specifically the pitch range, plays a vital role in dialect recognition
WikiQA-IS: Assisted Benchmark Generation and Automated Evaluation of Icelandic Cultural Knowledge in LLMs
No full textThis paper presents WikiQA-IS, a novel question-answering dataset focusing on Icelandic culture and history, along with an automated pipeline for dataset generation and evaluation. Leveraging GPT-4 to create questions and answers based on Icelandic Wikipedia articles and news sources, we produced a high-quality corpus of 2,000 question-answer pairs. We introduce an automatic evaluation method using GPT-4o as a judge, which shows strong agreement with human evaluations. Our benchmark reveals varying performances across different language models, with closed-source models generally outperforming open-weights alternatives. This work contributes a resource for evaluating language models' knowledge of Icelandic culture and offers a replicable framework for creating similar datasets in other cultural contexts
Incorporating Target Fuzzy Matches into Neural Fuzzy Repair
Get PDFNeural fuzzy repair (NFR) is a simple implementation of retrieval-augmented translation (RAT), based on data augmentation. In NFR, a translation database is searched for translation examples where the source sentence is similar to the sentence being translated, and the target side of the example is concatenated with the source sentences. We experiment with introducing retrieval that is based on target similarity to NFR during training. The results of our experiments confirm that including target similarity matches during training supplements source similarity matches and leads to better translations at translation time