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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Nurzada Amangeldy; Aru Ukenova; Gulmira Bekmanova; Bibigul Razakhova; +2 Authors

    This article is devoted to solving the problem of converting sign language into a consistent text with intonation markup for subsequent voice synthesis of sign phrases by speech with intonation. The paper proposes an improved method of continuous recognition of sign language, the results of which are transmitted to a natural language processor based on analyzers of morphology, syntax, and semantics of the Kazakh language, including morphological inflection and the construction of an intonation model of simple sentences. This approach has significant practical and social significance, as it can lead to the development of technologies that will help people with disabilities to communicate and improve their quality of life. As a result of the cross-validation of the model, we obtained an average test accuracy of 0.97 and an average val_accuracy of 0.90 for model evaluation. We also identified 20 sentence structures of the Kazakh language with their intonational model.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Sensorsarrow_drop_down
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    Sensors
    Other literature type . Article . 2023 . Peer-reviewed
    License: CC BY
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Sensors
    Article . 2023
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Sensorsarrow_drop_down
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      Sensors
      Other literature type . Article . 2023 . Peer-reviewed
      License: CC BY
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Sensors
      Article . 2023
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Siti Hasnah Hassan; Thurasamy Ramayah; Muhammad Imran Qureshi;

    The holistic conceptions of multi-dimensional well-being that synergize the constructs that capture all elements of the well-being of travelers are lacking in current literature. This study aims to develop an instrument to measure religious travelers’ well-being based on multi-dimensional well-being from the perspective of Muslim travelers who traveled to the Kingdom of Saudi Arabia to perform Umrah to gauge their level of well-being. The scale development technique was employed by creating, refining, and validating the instrument. The final survey instrument, which was administered using a purposive snowball sampling procedure, featured 30 items representing six dimensions of well-being. The final dataset included 202 Muslims who traveled to perform Umrah and were analyzed using Structural Equation Modelling (SEM) using AMOS 21.0 software. Four low-loading items were removed, leaving 26 items with a satisfactory model fit that covered six wellness dimensions: physical, spiritual, emotional, social, intellectual, and financial well-being. The findings contribute to the literature on religious tourism by providing an in-depth description of the experience of a religious pilgrimage for Muslims and their subsequent sense of fulfillment. The newly constructed instrument is believed to provide a more comprehensive view on well-being, allowing for a more nuanced assessment of a traveler’s well-being upon return.

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    World
    Other literature type . Article . 2023 . Peer-reviewed
    License: CC BY
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    World
    Article . 2023
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Worldarrow_drop_down
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      World
      Other literature type . Article . 2023 . Peer-reviewed
      License: CC BY
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      World
      Article . 2023
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Kanwal Ahmed; Muhammad Imran Nadeem; Dun Li; Zhiyun Zheng; +4 Authors

    The task of analyzing sentiment has been extensively researched for a variety of languages. However, due to a dearth of readily available Natural Language Processing methods, Urdu sentiment analysis still necessitates additional study by academics. When it comes to text processing, Urdu has a lot to offer because of its rich morphological structure. The most difficult aspect is determining the optimal classifier. Several studies have incorporated ensemble learning into their methodology to boost performance by decreasing error rates and preventing overfitting. However, the baseline classifiers and the fusion procedure limit the performance of the ensemble approaches. This research made several contributions to incorporate the symmetries concept into the deep learning model and architecture: firstly, it presents a new meta-learning ensemble method for fusing basic machine learning and deep learning models utilizing two tiers of meta-classifiers for Urdu. The proposed ensemble technique combines the predictions of both the inter- and intra-committee classifiers on two separate levels. Secondly, a comparison is made between the performance of various committees of deep baseline classifiers and the performance of the suggested ensemble Model. Finally, the study’s findings are expanded upon by contrasting the proposed ensemble approach efficiency with that of other, more advanced ensemble techniques. Additionally, the proposed model reduces complexity, and overfitting in the training process. The results show that the classification accuracy of the baseline deep models is greatly enhanced by the proposed MLE approach.

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    Symmetry
    Other literature type . Article . 2023 . Peer-reviewed
    License: CC BY
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Symmetry
    Article . 2023
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Symmetryarrow_drop_down
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      Symmetry
      Other literature type . Article . 2023 . Peer-reviewed
      License: CC BY
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Symmetry
      Article . 2023
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Konstantin Samoilov; Bolat Kuspangaliyev; Gaukhar Sadvokasova; Aizhan Akhmedova;

    The problem of preservation, and optimal demonstration of it to local residents and tourists of architectural monuments, is of constant scientific and public interest. Two concepts coexist in dialectical interaction: conservation to preserve the monument in the form in which it has come down to in our times, and restoration of the monument with the restoration of lost details. In each case, one or another decision is made, which finds both supporters and opponents. One of the aspects of this problem is the attitude to buildings that have long breaks in the history of conduct in their construction works. An interesting example of such a monument is the mausoleum-khanaka of Ahmed Yassawi in Turkestan, which remains unfinished. Given its importance for the self-determination of the culture of modern Kazakhstan, it seems appropriate to consider the planned design, which remains unrealized. For the first time, the article suggests, by way of discussion, several options proposed by the authors for solving the main facade of the mausoleum-khanaka and the shape of the central dome.

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    Heritage
    Other literature type . Article . 2023 . Peer-reviewed
    License: CC BY
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Heritage
    Article . 2023
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Heritagearrow_drop_down
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      Heritage
      Other literature type . Article . 2023 . Peer-reviewed
      License: CC BY
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Heritage
      Article . 2023
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Muhammad Imran Nadeem; Kanwal Ahmed; Dun Li; Zhiyun Zheng; +4 Authors

    Due to the exponential increase in internet and social media users, fake news travels rapidly, and no one is immune to its adverse effects. Various machine learning approaches have evaluated text and images to categorize false news over time, but they lack a comprehensive representation of relevant features. This paper presents an automated method for detecting fake news to counteract the spread of disinformation. The proposed multimodal EFND integrates contextual, social context, and visual data from news articles and social media to build a multimodal feature vector with a high level of information density. Using a multimodal factorized bilinear pooling, the gathered features are fused to improve their correlation and offer a more accurate shared representation. Finally, a Multilayer Perceptron is implemented over the shared representation for the classification of fake news. EFND is evaluated using a group of standard fake news datasets known as “FakeNewsNet”. EFND has outperformed the baseline and state-of-the-art machine learning and deep learning models. Furthermore, the results of ablation studies have demonstrated the efficacy of the proposed framework. For the PolitiFact and GossipCop datasets, the EFND has achieved an accuracy of 0.988% and 0.990%, respectively.

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    Sustainability
    Other literature type . Article . 2022 . Peer-reviewed
    License: CC BY
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Sustainability
    Article . 2022
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      Sustainability
      Other literature type . Article . 2022 . Peer-reviewed
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    Authors: Kirill Yakunin; Ravil I. Mukhamediev; Marina Yelis; Yan Kuchin; +8 Authors

    The paper presents the results of a correlation analysis between the information trends in the electronic media of Kazakhstan and indicators of the epidemiological situation of COVID-19 according to the World Health Organization (WHO). The developed method is based on topic modeling and some other methods of processing natural language texts. The method allows for calculating the correlations between media topics, moods, the results of full-text search queries, and objective WHO data. The analysis of the results shows how the attitudes of society towards the problems of COVID-19 changed from 2021–2022. Firstly, the results reflect a steady trend of decreasing interest of electronic media in the topic of the pandemic, although to an unequal extent for different thematic groups. Secondly, there has been a tendency to shift the focus of attention to more pragmatic issues, such as remote learning problems, remote work, the impact of quarantine restrictions on the economy, etc.

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    Information
    Other literature type . Article . 2022 . Peer-reviewed
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    Article . 2022
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      Information
      Other literature type . Article . 2022 . Peer-reviewed
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      Article . 2022
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    Authors: Dorina Camelia Ilieș; Bahodirhon Safarov; Tudor Caciora; Alexandru Ilieș; +12 Authors

    The quality of the indoor microclimate in museums is a problem of great interest to the contemporary society, given that it is in close connection with the health and comfort of visitors and employees, as well as with the integrity of the exhibits. Taking into account the fact that museums are places that have a special role in the community’s life and therefore attract a very large number of visitors of all ages, a very important issue is to determine the degree of safety that the indoor microclimate presents. Thus, the quality of the indoor microclimate was investigated inside an iconic museum in Romania, dating back to the 19th century, because pollutants from external or internal sources of the building, generated secondary, often anthropogenic, as a tendency to defend/adapt to climate change (CC), contribute to both local and regional pollution, but also lead to challenges in identifying links between air quality (AQ) and and climate change (CC). The methodology used was based on monitoring the main parameters of the microclimate (temperature, relative humidity and CO2) over a period of between October 2020 and March 2021, 21 weeks, as well as on determining the microbiological contamination of the air and some indoor exhibits located in three different areas of the museum. At the same time, the study aims to identify cheap, easy to implement and non-invasive solutions for removing fungi identified on exhibits for long-term preservation and reducing the risk of various pathologies in humans following prolonged exposure. The results obtained show that the indoor microclimate in the old heritage building favours the development of fungi, which have a high degree of contamination of the air (over 800 CFU/m3) and of the exhibits, representing a potential risk for the health of the visitors and museum workers. Thus, six species of yeast and five different fungi genera were identified in the air, while on the exhibits were individualised six fungi genera, a species of yeast and a bacterium. The most viable solution for cleaning materials, prolonging their lifespan and reducing the risk of disease in humans was represented by the use of essential oils (EO). Three essential oils (lavender, mint and lemon) were applied on an exhibit with five different microorganism genera, and it was observed that they have the ability to inhibit the spores from moulds and bacteria, being a very good alternative to the usual chemical treatments that are used in the cultural heritage field.

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    Authors: Mitra, Ayan; Paul, Arnab; Pal, Barun; Pal, Supratik;

    We report non-zero weak lensing convergence correlation signal of Type-Ia supernovae from 5-year Supernovae Legacy Survey data. For our analysis we utilize 296 supernovae magnification data from 5-year SNLS in the weak lensing limit. The data we use consists of measurements from four different patches, each covering 1 square degree of the sky, merged together. We demonstrate that it is possible to have a very good estimate of the two point correlation function from this data using internal error estimate technique. In order to have a good estimate of the corresponding covariance matrix we apply bootstrap spatial re-sampling technique where we reshuffle the original data consisting of 296 data points 100-10000 times and compare the results with that obtained from original data points. We show that this technique helps us arrive at a reliable conclusion on weak lensing convergence even though the original dataset comprises of a small number of data points. This also allows us to compute the corresponding covariance matrix with great accuracy. A manuscript using the same data but with a preliminary level of analysis was submitted to arXiv on February, 2018 (arxiv:1802.09014, Now withdrawn). However, we have done a thorough modification to that version with a completely new method of analysis using updated technique leading to several new findings and request the arXiv admin to consider it as a fresh submission

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    Other literature type . Preprint . 2019
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    https://doi.org/10.48550/arxiv...
    Article . 2019
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    Authors: Mussakhojayeva, Saida; Janaliyeva, Aigerim; Mirzakhmetov, Almas; Khassanov, Yerbolat; +1 Authors

    This paper introduces a high-quality open-source speech synthesis dataset for Kazakh, a low-resource language spoken by over 13 million people worldwide. The dataset consists of about 93 hours of transcribed audio recordings spoken by two professional speakers (female and male). It is the first publicly available large-scale dataset developed to promote Kazakh text-to-speech (TTS) applications in both academia and industry. In this paper, we share our experience by describing the dataset development procedures and faced challenges, and discuss important future directions. To demonstrate the reliability of our dataset, we built baseline end-to-end TTS models and evaluated them using the subjective mean opinion score (MOS) measure. Evaluation results show that the best TTS models trained on our dataset achieve MOS above 4 for both speakers, which makes them applicable for practical use. The dataset, training recipe, and pretrained TTS models are freely available. Comment: 5 pages, 4 tables, 2 figures, accepted to INTERSPEECH 2021

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    http://arxiv.org/pdf/2104.0845...
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    Authors: Dorina Camelia Ilieș; Florin Marcu; Tudor Caciora; Liliana Indrie; +13 Authors

    Poor air quality inside museums is one of the main causes influencing the state of conservation of exhibits. Even if they are mostly placed in a controlled environment because of their construction materials, the exhibits can be very vulnerable to the influence of the internal microclimate. As a consequence, museum exhibits must be protected from potential negative effects. In order to prevent and stop the process of damage of the exhibits, monitoring the main parameters of the microclimate (especially temperature, humidity, and brightness) and keeping them in strict values is extremely important. The present study refers to the investigations and analysis of air quality inside a museum, located in a heritage building, from Romania. The paper focuses on monitoring and analysing temperature of air and walls, relative humidity (RH), CO2 , brightness and particulate matters (PM), formaldehyde (HCHO), and total volatile organic compounds (TVOC). The monitoring was carried out in the Summer–Autumn 2020 Campaign, in two different exhibition areas (first floor and basement) and the main warehouse where the exhibits are kept and restored. The analyses aimed both at highlighting the hazard induced by the poor air quality inside the museum that the exhibits face. The results show that this environment is potentially harmful to both exposed items and people. Therefore, the number of days in which the ideal conditions in terms of temperature and RH are met are quite few, the concentration of suspended particles, formaldehyde, and total volatile organic compounds often exceed the limit allowed by the international standards in force. The results represent the basis for the development and implementation of strategies for long-term conservation of exhibits and to ensure a clean environment for employees, restorers, and visitors. indoor air quality, environmental monitoring, cultural heritage, museum exhibitions, preventive conservation, human health 1-18 70 2

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    Authors: Nurzada Amangeldy; Aru Ukenova; Gulmira Bekmanova; Bibigul Razakhova; +2 Authors

    This article is devoted to solving the problem of converting sign language into a consistent text with intonation markup for subsequent voice synthesis of sign phrases by speech with intonation. The paper proposes an improved method of continuous recognition of sign language, the results of which are transmitted to a natural language processor based on analyzers of morphology, syntax, and semantics of the Kazakh language, including morphological inflection and the construction of an intonation model of simple sentences. This approach has significant practical and social significance, as it can lead to the development of technologies that will help people with disabilities to communicate and improve their quality of life. As a result of the cross-validation of the model, we obtained an average test accuracy of 0.97 and an average val_accuracy of 0.90 for model evaluation. We also identified 20 sentence structures of the Kazakh language with their intonational model.

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    Authors: Siti Hasnah Hassan; Thurasamy Ramayah; Muhammad Imran Qureshi;

    The holistic conceptions of multi-dimensional well-being that synergize the constructs that capture all elements of the well-being of travelers are lacking in current literature. This study aims to develop an instrument to measure religious travelers’ well-being based on multi-dimensional well-being from the perspective of Muslim travelers who traveled to the Kingdom of Saudi Arabia to perform Umrah to gauge their level of well-being. The scale development technique was employed by creating, refining, and validating the instrument. The final survey instrument, which was administered using a purposive snowball sampling procedure, featured 30 items representing six dimensions of well-being. The final dataset included 202 Muslims who traveled to perform Umrah and were analyzed using Structural Equation Modelling (SEM) using AMOS 21.0 software. Four low-loading items were removed, leaving 26 items with a satisfactory model fit that covered six wellness dimensions: physical, spiritual, emotional, social, intellectual, and financial well-being. The findings contribute to the literature on religious tourism by providing an in-depth description of the experience of a religious pilgrimage for Muslims and their subsequent sense of fulfillment. The newly constructed instrument is believed to provide a more comprehensive view on well-being, allowing for a more nuanced assessment of a traveler’s well-being upon return.

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    World
    Other literature type . Article . 2023 . Peer-reviewed
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      World
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    Authors: Kanwal Ahmed; Muhammad Imran Nadeem; Dun Li; Zhiyun Zheng; +4 Authors

    The task of analyzing sentiment has been extensively researched for a variety of languages. However, due to a dearth of readily available Natural Language Processing methods, Urdu sentiment analysis still necessitates additional study by academics. When it comes to text processing, Urdu has a lot to offer because of its rich morphological structure. The most difficult aspect is determining the optimal classifier. Several studies have incorporated ensemble learning into their methodology to boost performance by decreasing error rates and preventing overfitting. However, the baseline classifiers and the fusion procedure limit the performance of the ensemble approaches. This research made several contributions to incorporate the symmetries concept into the deep learning model and architecture: firstly, it presents a new meta-learning ensemble method for fusing basic machine learning and deep learning models utilizing two tiers of meta-classifiers for Urdu. The proposed ensemble technique combines the predictions of both the inter- and intra-committee classifiers on two separate levels. Secondly, a comparison is made between the performance of various committees of deep baseline classifiers and the performance of the suggested ensemble Model. Finally, the study’s findings are expanded upon by contrasting the proposed ensemble approach efficiency with that of other, more advanced ensemble techniques. Additionally, the proposed model reduces complexity, and overfitting in the training process. The results show that the classification accuracy of the baseline deep models is greatly enhanced by the proposed MLE approach.

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    Other literature type . Article . 2023 . Peer-reviewed
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      Symmetry
      Other literature type . Article . 2023 . Peer-reviewed
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      Symmetry
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    Authors: Konstantin Samoilov; Bolat Kuspangaliyev; Gaukhar Sadvokasova; Aizhan Akhmedova;

    The problem of preservation, and optimal demonstration of it to local residents and tourists of architectural monuments, is of constant scientific and public interest. Two concepts coexist in dialectical interaction: conservation to preserve the monument in the form in which it has come down to in our times, and restoration of the monument with the restoration of lost details. In each case, one or another decision is made, which finds both supporters and opponents. One of the aspects of this problem is the attitude to buildings that have long breaks in the history of conduct in their construction works. An interesting example of such a monument is the mausoleum-khanaka of Ahmed Yassawi in Turkestan, which remains unfinished. Given its importance for the self-determination of the culture of modern Kazakhstan, it seems appropriate to consider the planned design, which remains unrealized. For the first time, the article suggests, by way of discussion, several options proposed by the authors for solving the main facade of the mausoleum-khanaka and the shape of the central dome.

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    Heritage
    Other literature type . Article . 2023 . Peer-reviewed
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      Heritage
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      Heritage
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    Authors: Muhammad Imran Nadeem; Kanwal Ahmed; Dun Li; Zhiyun Zheng; +4 Authors

    Due to the exponential increase in internet and social media users, fake news travels rapidly, and no one is immune to its adverse effects. Various machine learning approaches have evaluated text and images to categorize false news over time, but they lack a comprehensive representation of relevant features. This paper presents an automated method for detecting fake news to counteract the spread of disinformation. The proposed multimodal EFND integrates contextual, social context, and visual data from news articles and social media to build a multimodal feature vector with a high level of information density. Using a multimodal factorized bilinear pooling, the gathered features are fused to improve their correlation and offer a more accurate shared representation. Finally, a Multilayer Perceptron is implemented over the shared representation for the classification of fake news. EFND is evaluated using a group of standard fake news datasets known as “FakeNewsNet”. EFND has outperformed the baseline and state-of-the-art machine learning and deep learning models. Furthermore, the results of ablation studies have demonstrated the efficacy of the proposed framework. For the PolitiFact and GossipCop datasets, the EFND has achieved an accuracy of 0.988% and 0.990%, respectively.

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    Sustainability
    Other literature type . Article . 2022 . Peer-reviewed
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    Authors: Kirill Yakunin; Ravil I. Mukhamediev; Marina Yelis; Yan Kuchin; +8 Authors

    The paper presents the results of a correlation analysis between the information trends in the electronic media of Kazakhstan and indicators of the epidemiological situation of COVID-19 according to the World Health Organization (WHO). The developed method is based on topic modeling and some other methods of processing natural language texts. The method allows for calculating the correlations between media topics, moods, the results of full-text search queries, and objective WHO data. The analysis of the results shows how the attitudes of society towards the problems of COVID-19 changed from 2021–2022. Firstly, the results reflect a steady trend of decreasing interest of electronic media in the topic of the pandemic, although to an unequal extent for different thematic groups. Secondly, there has been a tendency to shift the focus of attention to more pragmatic issues, such as remote learning problems, remote work, the impact of quarantine restrictions on the economy, etc.

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    Information
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    Authors: Dorina Camelia Ilieș; Bahodirhon Safarov; Tudor Caciora; Alexandru Ilieș; +12 Authors

    The quality of the indoor microclimate in museums is a problem of great interest to the contemporary society, given that it is in close connection with the health and comfort of visitors and employees, as well as with the integrity of the exhibits. Taking into account the fact that museums are places that have a special role in the community’s life and therefore attract a very large number of visitors of all ages, a very important issue is to determine the degree of safety that the indoor microclimate presents. Thus, the quality of the indoor microclimate was investigated inside an iconic museum in Romania, dating back to the 19th century, because pollutants from external or internal sources of the building, generated secondary, often anthropogenic, as a tendency to defend/adapt to climate change (CC), contribute to both local and regional pollution, but also lead to challenges in identifying links between air quality (AQ) and and climate change (CC). The methodology used was based on monitoring the main parameters of the microclimate (temperature, relative humidity and CO2) over a period of between October 2020 and March 2021, 21 weeks, as well as on determining the microbiological contamination of the air and some indoor exhibits located in three different areas of the museum. At the same time, the study aims to identify cheap, easy to implement and non-invasive solutions for removing fungi identified on exhibits for long-term preservation and reducing the risk of various pathologies in humans following prolonged exposure. The results obtained show that the indoor microclimate in the old heritage building favours the development of fungi, which have a high degree of contamination of the air (over 800 CFU/m3) and of the exhibits, representing a potential risk for the health of the visitors and museum workers. Thus, six species of yeast and five different fungi genera were identified in the air, while on the exhibits were individualised six fungi genera, a species of yeast and a bacterium. The most viable solution for cleaning materials, prolonging their lifespan and reducing the risk of disease in humans was represented by the use of essential oils (EO). Three essential oils (lavender, mint and lemon) were applied on an exhibit with five different microorganism genera, and it was observed that they have the ability to inhibit the spores from moulds and bacteria, being a very good alternative to the usual chemical treatments that are used in the cultural heritage field.

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    Sustainability
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      Sustainability
      Article . 2022
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    Authors: Mitra, Ayan; Paul, Arnab; Pal, Barun; Pal, Supratik;

    We report non-zero weak lensing convergence correlation signal of Type-Ia supernovae from 5-year Supernovae Legacy Survey data. For our analysis we utilize 296 supernovae magnification data from 5-year SNLS in the weak lensing limit. The data we use consists of measurements from four different patches, each covering 1 square degree of the sky, merged together. We demonstrate that it is possible to have a very good estimate of the two point correlation function from this data using internal error estimate technique. In order to have a good estimate of the corresponding covariance matrix we apply bootstrap spatial re-sampling technique where we reshuffle the original data consisting of 296 data points 100-10000 times and compare the results with that obtained from original data points. We show that this technique helps us arrive at a reliable conclusion on weak lensing convergence even though the original dataset comprises of a small number of data points. This also allows us to compute the corresponding covariance matrix with great accuracy. A manuscript using the same data but with a preliminary level of analysis was submitted to arXiv on February, 2018 (arxiv:1802.09014, Now withdrawn). However, we have done a thorough modification to that version with a completely new method of analysis using updated technique leading to several new findings and request the arXiv admin to consider it as a fresh submission

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    arXiv.org e-Print Archive
    Other literature type . Preprint . 2019
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    https://doi.org/10.48550/arxiv...
    Article . 2019
    License: arXiv Non-Exclusive Distribution
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    SSRN Electronic Journal
    Article . 2022 . Peer-reviewed
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      Other literature type . Preprint . 2019
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      https://doi.org/10.48550/arxiv...
      Article . 2019
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    Authors: Mussakhojayeva, Saida; Janaliyeva, Aigerim; Mirzakhmetov, Almas; Khassanov, Yerbolat; +1 Authors

    This paper introduces a high-quality open-source speech synthesis dataset for Kazakh, a low-resource language spoken by over 13 million people worldwide. The dataset consists of about 93 hours of transcribed audio recordings spoken by two professional speakers (female and male). It is the first publicly available large-scale dataset developed to promote Kazakh text-to-speech (TTS) applications in both academia and industry. In this paper, we share our experience by describing the dataset development procedures and faced challenges, and discuss important future directions. To demonstrate the reliability of our dataset, we built baseline end-to-end TTS models and evaluated them using the subjective mean opinion score (MOS) measure. Evaluation results show that the best TTS models trained on our dataset achieve MOS above 4 for both speakers, which makes them applicable for practical use. The dataset, training recipe, and pretrained TTS models are freely available. Comment: 5 pages, 4 tables, 2 figures, accepted to INTERSPEECH 2021

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    http://arxiv.org/pdf/2104.0845...
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    arXiv.org e-Print Archive
    Other literature type . Preprint . 2021
    https://doi.org/10.48550/arxiv...
    Article . 2021
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    https://doi.org/10.21437/inter...
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      arXiv.org e-Print Archive
      Other literature type . Preprint . 2021
      https://doi.org/10.48550/arxiv...
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    Authors: Dorina Camelia Ilieș; Florin Marcu; Tudor Caciora; Liliana Indrie; +13 Authors

    Poor air quality inside museums is one of the main causes influencing the state of conservation of exhibits. Even if they are mostly placed in a controlled environment because of their construction materials, the exhibits can be very vulnerable to the influence of the internal microclimate. As a consequence, museum exhibits must be protected from potential negative effects. In order to prevent and stop the process of damage of the exhibits, monitoring the main parameters of the microclimate (especially temperature, humidity, and brightness) and keeping them in strict values is extremely important. The present study refers to the investigations and analysis of air quality inside a museum, located in a heritage building, from Romania. The paper focuses on monitoring and analysing temperature of air and walls, relative humidity (RH), CO2 , brightness and particulate matters (PM), formaldehyde (HCHO), and total volatile organic compounds (TVOC). The monitoring was carried out in the Summer–Autumn 2020 Campaign, in two different exhibition areas (first floor and basement) and the main warehouse where the exhibits are kept and restored. The analyses aimed both at highlighting the hazard induced by the poor air quality inside the museum that the exhibits face. The results show that this environment is potentially harmful to both exposed items and people. Therefore, the number of days in which the ideal conditions in terms of temperature and RH are met are quite few, the concentration of suspended particles, formaldehyde, and total volatile organic compounds often exceed the limit allowed by the international standards in force. The results represent the basis for the development and implementation of strategies for long-term conservation of exhibits and to ensure a clean environment for employees, restorers, and visitors. indoor air quality, environmental monitoring, cultural heritage, museum exhibitions, preventive conservation, human health 1-18 70 2

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