569,961 research outputs found
Yu. M. Lotman and Contemporary Narratology
No full textThe paper reconstructs the influence of the semiotic studies of Yu. Lotman on the formation of the problems and the research apparatus of modern (“post-classical”) multimedia narratology, associated with the names of J. Genette, P. Ricoeur, W. Schmid and others. In particular, the author discusses the emergence of scientific interest in the film narrative, which has also had a significant impact on literary narratology, enriching it with the constructive concept of the “narrative image”. The article focuses on Lotman’s storytelling research, especially the concept of “plot-driven texts” of culture in their opposition to “plotless texts”. Particular importance is attached to the distinction between plot and myth, which continued O. M. Freidenberg’s investigations into the origin of narration. Lotman’s pioneering role in mastering the scientific categories of “narrative worldview” and “narrative event” is described. The author reveals the place of Lotman's research heritage in the comprehension of narrative practices as a tool for mental appropriation of life, accumulation and retranslation of event experience, as well as in the birth and development of the modern project of historical narratology
On the Pre-Anniversary Biographies of M. Yu. Lermontov
No full textСтатья поступила в редакцию 03.10.2014 г.В статье дан обзор жизнеописаний М. Ю. Лермонтова, изданных накануне юбилея поэта. В центре внимания — своеобразие интерпретаций ключевых событий творческого и жизненного пути классика. Охарактеризована манера письма и индивидуальный стиль биографов. Обозначена проблема отсутствия научной биографии М. Ю. Лермонтова.The article reviews a number of M. Yu. Lermontov’s biographies published on the eve of the poet’s upcoming birthday anniversary. The author focuses on the interpretations of the key events of the classic’s artistic journey and life. The author characterizes the biographers’ individual manner and style emphasizing the absence of a scholarly biography of M. Yu. Lermontov
Yu. M. Lotman Forever Turned the Idea of the Text
No full textAn interview with O. A. Kling is presented, revealing the significance of Yu. M. Lotman’s works for literary criticism of the XX–XXI centuries. Oleg Alekseevich Kling is a Russian literary critic, Doctor of Philology, Professor, Head of the Department of Literary Theory of the Faculty of Philology of Lomonosov Moscow State University, winner of the magazine award “Questions of Literature”. The areas of scientific interests are Russian literature, the history of Russian literary studies, symbolism and post-symbolism, the Silver Age. He is the author of many works in these fields, including books: “Alexander Blok: The Structure of the Novel in Verse”, “Russian Poetry: The poem ‘Twelve’” (2004), “The Poetic World of Marina Tsvetaeva” (2004), “The Influence of Symbolism on Post-Symbolist Poetry in Russia of the 1910s: Problems of Poetics” (2010), “‘The Platinum Age’ in Russian Literature” (2017), editor-in-chief of the encyclopedia “Russian Literary Critics of the twentieth Century: BioBibliographic Dictionary. Vol. I: A–L” (2017)
Yu. M. Lotman and the Problems of Theoretical Literary Criticism
Get PDFВ статье рассматривается вклад Ю. М. Лотмана в развитие основных положений теории литературы, которые сыграли исключительно важную роль в филологической науке.In the article, the author tries to assess the contribution of Yu. M. Lotman to the development of basic concepts of literary theory, which, along with the study of the problems of culture studies and the history of Russian literature, played an extremely important role in philological science
Yu. M. Lotman and the Problems of Theoretical Literary Criticism
No full textВ статье рассматривается вклад Ю. М. Лотмана в развитие основных положений теории литературы, которые сыграли исключительно важную роль в филологической науке.In the article, the author tries to assess the contribution of Yu. M. Lotman to the development of basic concepts of literary theory, which, along with the study of the problems of culture studies and the history of Russian literature, played an extremely important role in philological science
Yu. M. Lotman and the Problems of Theoretical Literary Criticism
No full textIn the article, the author tries to assess the contribution of Yu. M. Lotman to the development of basic concepts of literary theory, which, along with the study of the problems of culture studies and the history of Russian literature, played an extremely important role in philological science. Among the large number of monographs and articles written by the scholar from Tartu, “Lectures on Structural Poetics” (1964) and “Culture and Explosion” (1992) stand out. According to the author of this article, it was in these works that the main break through took place, which put up an end to the rule of dogmatic literary criticism and opened up new opportunities in the field of philology. In particular, in the first book, the concept of structure as an epistemological category was postulated for the first time, in contrast to composition, which represents the material embodiment of the structure in text. In the last study, Lotman largely develops a number of new ideas, in which the text is understood as a field of relationships between systemic and non-systemic elements and suggests the possibility of various options for its development. In “Culture and Explosion”, the scholar presented a set of ideas that largely coincide with the thoughts of European poststructuralists, but differ in the interpretation of the main features of the literary process
A machine learning practice of predicting CO2 levels with the measurement data from university departmental offices
No full textIntroduction: In office spaces, users spend around 1/3 of their daily time, thus maintaining good air quality is an important aspect of keeping a healthy and efficient working environment. As office occupants usually have a regular daily and weekly schedule, machine learning can be a useful method to find the air quality pattern. Its result can benefit the indoor activities to improve the indoor activities and even further development on the smart buildings when the building infrastructure is ready.
In a department area of Politecnico di Milano, multiple low-cost air quality sensors have been installed since September 2023 which measure parameters mainly including temperature, humidity, radon, CO2, VOCs, air pressure and light. In this research, the CO2 data measured in the selected offices are used in this analysis practice.
This research aims to explore how machine learning can benefit long-term monitoring in improving air quality in the offices, taking CO2 as a practice, and how the existing monitoring system in the building can be improved to response to the changing indoor air quality (IAQ) level according to the model training process and the prediction performance.
Methodology: This research tried to apply the regression learner from MATLAB to train the models based on the data collected from the selected offices respectively in the past 1 year (from 2023 Sep 05 to 2024 Sep 05). The training used the basic information as a predictor including the date of the year, time of day, room code, and day of week. Meanwhile, the level of CO2 is selected as the response in training. After the comparison of the results in RMSE (Root-mean-square Error) with different models, the training eventually selected the bagged tree model in terms of its performance and the total training time.
The trained model then was optimized by the Experiment Manager tools from MATLAB with 50 trials by tuning the 4 hyperparameters of the bagged tree model, including method, number of learning cycles, learn rate and min leaf size. The one with the best performance in RMSE was selected in the validation session.
The validation was the comparison between the measured data from Sep 06 to Oct 30 2024 and the prediction from the trained and optimized model. The performance of validation and the model were interpreted in terms of its RMSE, residuals and Coefficient of determination (R2).
Result: The model of rooms has RMSE results between 14.95 to 16.09 after the training and optimization varying from different rooms. Then, in comparisons between the original and model predicted CO2 values, the predicted CO2 levels basically follow the schedule of the rooms, with similar variation rates at the beginning and end of the working hours. This means that the model is able to catch the features of CO2 level variations in the selected offices based on the historical data.
However, the predictions show differences from the measurements with the dates as predictors in 2024, with RMSE from 100.52 to 107.74. These differences lay in the daily variations, especially the peaks of several days are much higher than the prediction results. These are due to several realistic reasons such as the number of occupants in 2024 being more than in 2023 and the schedule of occupants changing each week, etc. which are not included in monitoring and training.
Conclusion: In general, the performance of this model currently is limited by the predictor parameters from the historical data monitored in the past 1 year, but it can already be useful in reflecting the CO2 variations in these offices. The training process also shows the 3 types of information that could be added to the monitoring system to help benefit and respond to the IAQ level changes more smoothly and accurately, including the daily number of people, the occupancy schedule, and the ventilations by window operations.
During this training, it can be found that, in the model training for CO2 level in these offices, the number of occupants and their ventilation behaviours are the 2 influential factors that are important but not measured in the existing monitoring system, especially the number of occupants which dynamic during the year and highly related to the CO2 increasing rate and the peak level. The number of occupants and the schedule can be added as one monitoring parameter in the future to make the prediction more accurate.
On the other hand, other factors such as the dimensions of the room are less influential and can be simulated based on the calculation with the CO2 historical records and the number of occupants.
In addition, this method can be used in spaces with more occupants, such as classrooms, open offices or shopping centres with large numbers of occupants by minimizing the influence of the changes on the average number of occupants on the CO2 prediction
Yu. M. Kobiščanov, Aksum
No full textCaquot André. Yu. M. Kobiščanov, Aksum. In: Annales d'Ethiopie. Volume 7, année 1967. pp. 159-160
Correction to: Long-term changes in rainfed olive production, rainfall and farmer’s income in Bailén (Jaén, Spain) (Euro-Mediterranean Journal for Environmental Integration, (2021), 6, 2, (58), 10.1007/s41207-021-00268-1)
No full textThe article Long‐term changes in rainfed olive production, rainfall and farmer’s income in Bailén (Jaén, Spain), written by Jesús Rodrigo‐Comino, José María Senciales‐Gonzalez, Yang Yu, Luca Salvati, Antonio Gimenez‐Morera and Artemi Cerdà, was originally published electronically on the publisher’s internet portal on 18 June 2021 without open access. With the author(s)’ decision to opt for Open Choice the copyright of the article changed on 3 July 2021 to © The Author(s) 2021 and the article is forthwith distributed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http:// creat iveco mmons. org/ licen ses/ by/4.0. The original article has been corrected
Yu. N. Chumakov: Memories of Meeting Yu. M. Lotman
No full textThe article features an excerpt from Chumakov’s memoirs, describing how, in the late 1960s, he got acquainted with Lotman’s book Lectures on Structural Poetics and then met the author of the lectures at the Pushkin Conference in Pskov. According to the memoirist, Lotman’s Lectures on Structural Poetics gave literary studies in the 1970s a new language, which may then have been modified within some other schools of literary studies, but it laid the foundation for the scientific description of the fiction text. Investigation of the fiction text has been characterized since the late 1960s by the structuralist approach. The memoirs also mention Chumakov’s defending his candidate dissertation, in which Lotman acted as an opponent (the dissertation was entitled “Problems of Pushkin’s Poetics: (Lyrics, The Stone Guest, Eugene Onegin)” and was defended in Saratov, in 1970.
One part of Chumakov’s candidate dissertation, as well as his report at the Pushkin conference in Pskov, was devoted to the role of the notes and “Passages from Onegin’s Journey” in Pushkin’s novel “Eugene Onegin”. Independently of each other, Chumakov and Lotman came to the conclusion that the notes are not a supplement, but real independent parts within the novel in verse, along with its eight chapters
- …
