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Je to res vse, kar zmoremo?
No full textUvodnik o književni raznolikosti, bralni pismenosti in čustveni dimenziji literature
Discreteness of lists and the information revolution in the humanities
Full text linkBesedilo obravnava informacijski obrat, ki današnjo realnost razume kot infosfero, agente v njej pa kot relacijsko povezane informacijske
organizme, človeške, naravne ter umetne ali hibridne. Pri razumevanju komunikacijskega delovanja sodobnih algoritmov izhaja iz ugotovitev Elene Esposito, ki razlikuje med informativnostjo sporazumevanja in inteligenco ter najde kontingentnost, ki je temelj za dojemanje inteligentnih odzivov v komunikaciji, ne v algoritmih, ampak v velepodatkih, kamor so jo odložili ljudje pri izdelavi in uporabi spleta. Podatke, organizirane v obliki diskretnih seznamov, ki jih pridobimo z odstranitvijo konteksta, algoritmi obdelujejo: reorganizirajo in asociativno povezujejo. Podobno kot v računalništvu obravnava sisteme tudi humanistika, na obeh področjih imamo opravka z diskretnimi podatki. Ta skupna lastnost podatkov v humanistiki in računalništvu omogoča prenos metod med disciplinama, npr. metodo ravni abstrakcije za obravnavanje sistema, zato v nadaljevanju predstavimo delovanje Turingovih strojev, njihovo števnost izračunljivih števil, povezano z mehanskostjo postopka. Implikacije Turingovih odkritij so pobuda za informacijsko filozofijo Luciana Floridija, ki informacijskemu obratu reče tudi četrta revolucija človeškega samorazumevanja in ga obravnava v tetralogiji, posvečeni infosferi. Predstavljena je Floridijeva konceptualna logika informacij, ki je logika načrtovanja modela sistema, ki zadosti zahtevam in skozi izdelovanje proizvaja vednost ab anteriori. Gre za inženirskooblikovalsko metodo, ki je v vedno bolj konstrukcionistično naravnanem svetu tudi metoda za podajanje odgovorov na odprta filozofska vprašanja. V sklepu besedila metodo izdelave informacijskega modela sistema predstavimo na primeru digitalnohumanističnega projekta, ki uporablja digitalizirano zbirko
umetniških del, interdisciplinarno sodelovanje in računalniške algoritme za generiranje novih informacijskih organizmov, tj. modelov, ki interpretirajo Rembrandtov umetniški sistem.This paper deals with the information revolution, which understands today’s reality as an infosphere and the agents in it as relationally connected information organisms, human, natural and artificial or hybrid. In understanding the communicative function of contemporary algorithms, it draws on the findings of Elena Esposito, who distinguishes between the informativeness of communication and intelligence, and finds the contingency that underlies the perception of intelligent responses in communication, not in algorithms, but in big data where humans have deposited it when creating and using the internet. Data organised in the form of discrete lists, obtained by removing context, is processed by algorithms: reorganised and associatively linked. The humanities deal with systems in a similar way to computer science, and in both fields we are dealing with discrete data. This common property of data in the humanities and computer science allows the transposal of methods between disciplines, e.g. the method of levels of abstraction for dealing with a system, so in the paper we present the operation of Turing machines, their multiplicity of computable numbers, linked to the mechanics of the process. The implications of Turing’s discoveries are the impetus for the philosophy of information of Luciano Floridi, who also calls the information revolution the fourth revolution of human self-understanding and discusses it in a tetralogy dedicated to the infosphere. We set out Floridi’s conceptual logic of information, which is the logic of designing a model of a system that satisfies requirements and produces knowledge ab anteriori through elaboration. It is an engineering-design method which, in an increasingly constructionist world, is also a method for providing answers to open philosophical questions. In the conclusion, we set out the method of producing an information model of a system through the example of a digital-humanities project that uses a digitised collection of artworks, interdisciplinary collaboration and computer algorithms to generate new information organisms, i.e. models that interpret Rembrandt’s art system
Statistical models
No full textAs a collaboration among the University of Nova Gorica (Slovenia), University of Craiova (Romania), and University of Udine (Italy), FEAL 2023 represents an interdisciplinary training opportunity for BA, MA and PhD students from linguistics, applied mathematics, psychology, and neuroscience.
It addresses research topics in contemporary linguistics through formal, computational, and experimental approaches.
In this training opportunity, we will explore some of the most fundamental General Linear Models (GLMs) that have a wide range of applications in various fields. GLMs provide a flexible framework for modeling a variety of data types, including continuous, binary, count, and categorical data, making them an essential tool for any data analyst. During the course, we will briefly cover some GLM models that have applications in diverse fields such as Psychology, Linguistics, Viticulture, Neuroscience, Economics, Biology, and beyond. We will review the basic concepts and tools in GLMs and will discuss how to choose the appropriate model for a given data type and how to interpret the model\u27s output. This course will provide a hands-on learning experience, where you will have the opportunity to apply the concepts you learn to real-world datasets (using SPSS and Excel). We will go as long as time permits to cover as many topics as possible and ensure that you have a good understanding of GLM models and the skills to apply them to your own research projects
In situ treatment of organic pollutants in water using photoelectrocatalysis
No full textThe photoelectrochemical (PEC) approach has emerged as a promising advanced oxidation process to remove organic pollutants in water environment. Here, we report a novel method for the preparation of hematite (α-Fe2O3) thin films by using a combination of spin-coating and heat-treatment approaches. Firstly, a solution containing iron precursor was spin-coated on fluorine doped tin oxide substrates and later heat-treated at 750º C to generates a porous film.1 The α-Fe2O3 thin films were studied as a catalyst in PEC water oxidation and textile dye degradation system We applied the α-Fe2O3 thin films in PEC degradation of a textile Basic Blue 41 (B41) dye. Efficient PEC degradation of B41 dye is demonstrated in the presence of reactive chlorine species (RCS) under LED illumination (λex 400 nm, 20 W) and 1.5 V vs. reversible hydrogen electrode applied potential. In addition to Fe2O3, we also grew TiO2 nanotubes on titanium plate using the so-called anodization approach. We applied the obtained TiO2 thin films in PEC degradation of B41 dye. In addition to the B41 textile dye, we used also used the TiO2 nanotubes for degradation of anti-inflammatory drugs. Various operation parameters, including anodic potential, pH, electrolytes and concentration of dye, were investigated to determine the optimal experimental conditions. The degradation of B41 was remarkably enhanced by in situ generated RCS. Recycling test revealed that α-Fe2O3 photoanode shows good activity and excellent stability during B41 degradation. High-performance liquid chromatography analysis coupled with UV-VIS system and gas-chromatography/liquid chromatography coupled to mass spectrometry detector confirmed the degradation of B41 dye and the evolution of by-product. Phytotoxicity test using Lepidium sativum L showed that treated waters are safe to be discharged in the environment
