bluuebunny/crossref_metadata_2025_split huggingface dataset:
„რელიგიური ნიშნით რეპრესიები საბჭოთა საქართველოში“ (შსს არქივის მონაცემების მიხედვით)
Authors: ტყაბლაძე ზვიად 
Published: December 2024

ჩვენი კვლევის საგანს წარმოადგენს „შოთა რუსთაველის საქართველოს ეროვნული სამეცნიერო ფონდის“ მიერ დაფინ­ან­სებულ 2022 წლის ფუნდამენტური კვლევების სახელმწიფო სამე­ცნიერო საგრანტო კონკურსის პროექტის (NFR-22-21090) - „რელ­იგიური ნიშნით რეპრესიები საბჭოთა საქართველოში (შსს არქი­ვის მონაცემების მიხედვით)“ მიმოხილვას, რომელიც ხორც­იე­ლდება რელიგიის საკითხთა სახელმწიფო სააგენტოს ინიც­ია­ტივით, საქართველოს შინაგან საქმეთა სამინისტროს არქივთან თანამშრომლობით.
რეპრესირებულ პირთა ბედი გვიჩვენებს, თუ რა ტრაგ­იკ­ული შედეგები მოჰყვა საბჭოთა კავშირის იმპერიულ გადაწყ­ვე­ტილებებს რიგითი ადამიანებისთვის. საბჭოთა რეპრესიების საკითხი ერთ-ერთი შეუსწავლელი სფეროა არა მარტო ქართულ, არამედ პოსტსაბჭოთა ქვეყნების სამეცნიერო ლიტერატურაშიც. ამ მხრივ განსაკუთრებით საინტერესოა ათასობით რეპრე­სი­რ­ებულ სასულიერო პირთა საქმეები, რომელიც სხვადასხვა არქი­ვშია დაცული. თემა ითვალისწინებს მკვლევართა ჯგუფის მიერ საქართველოში საბჭოთა პერიოდში (1921-1991 წლებში) რელიგ­იური ნიშნით განხორციელებული რეპრესიების და რეპრეს­ირ­ე­ბ­ული სასულიერო პირების შესახებ ჩატარებული კვლევის გაშ­უქებას. საქართველოს ანექსიის (1921 წ.) შემდეგ, აქტიურად დაი­წყო „წითელი ტერორი“ და ათეისტური რელიგიური პოლი­ტი­კის გატარება იმ პერიოდში მოღვაწე ყველა დენომინაციის წინააღმდეგ: დაიხურა ასობით საკულტო ნაგებობა, რელიგიური სკოლები, განსაკუთრებული სისასტიკით დაიწყო მართლმად­იდებლური, კათოლიკური, სომხური-სამოციქულო, ქრისტი­ა­ნულ-პროტესტანტული, სხვა ქრისტიანული მიმდინარეობების, ასევე იუდეური, ისლამური თემების სასულიერო პირების რელ­იგიური მოტივებით დევნა. სასულიერო პირთა დევნის საფუ­ძვლად იყენებდნენ მათ ანტისაბჭოთა და კონტრრ­ევო­ლუციური აგიტაცია-პროპაგანდის და სხვა სახის ბრალდებას. დამუშა­ვე­ბული იქნა იმ სასულიერო პირთა შესახებ ინფორმაცია, რომლ­ებიც სასჯელის სამი კატეგორიით იქნენ დასჯილნი - დახვ­რეტ­ილები, პატიმრობამისჯილები და გადასახლებულები.
მიმდინარე პროექტში მონაწილეობას იღებს მკვლევართა ჯგუფი: ზვიად ტყაბლაძე (პროექტის ხელმძღვანელი), გიორგი პატაშური (პროექტის კოორდინატორი), ზაზა ვაშაყმაძე, სერგო ფარულავა, აბესალომ ასლანიძე, მარინე მაზმიშვილი, დავით დავითაშვილი, ბადრი ჩერქეზიშვილი, ლალი ეხვაია.
საქართველოს ტერიტორიაზე აღმოჩენილი სამანიანთა პერიოდის დირჰამები გრაფიტით
Authors: ჭანიშვილი ევგენი 
Published: December 2024

გრაფიტი, როგორც სოციო-კულტურული გამოხატულების ფორმა უხსოვარი დროიდან არსებობდა. მისი ძალიან ბევრი ნიმ­უში ჯერ კიდევ ძველი საბერძნეთიდან და განსაკუთრებით ძვე­ლი რომის იმპერიის პერიოდის ნიმუშებიდან შემოგვრჩა.[1] გრა­ფ­იტის გამოყენების პრაქტიკა არამხოლოდ კედლებზე შესრულ­ებულ მხატვრობას თუ მინაწერებს ან მინაკაწრებს წარმოა­დგ­ენდა, არამედ ვრცელდებოდა ისეთი მცირე ზომის თუმცა საყოვ­ელთაო ნივთებზე, როგორიც არის მონეტა. ფული წარმოადგენს ნებისმიერი სახელმწიფოს ისეთ საზოგადო სიმბოლიკას (განსაკ­ურთრებით წვრილი ნომინალის ფული), რომელიც ხელმის­აწ­ვდომი და განკუთვნილი იყო ნებისმიერი სოციალური ფენის­ათვის.
საქართველოს ისტორიაშიც, ფულს ყოველთვის გააჩნდა მნიშვნელოვანი სიმბოლური დატვირთვა და გამოიყენებოდა არა­მხოლოდ ანგარიშსწორებისთვის განკუთვნილი ფორმით, არ­ა­მედ შემდგომში იძენდა განსხვავებულ ფუნქციებსაც და ატარ­ებდა, როგორც ეთნოგრაფიულ, ისე პროპაგანდისტულ, თუ კულ­ტურულ დატვირთვას. ძალიან ხშირად მაღალი ხარისხის ვერცხლის დაბალი ნომინალის მონეტები გამოიყენებოდა, როგ­ორც სამოსის დეკორაციის ნაწილი ან სამოსის კონკრეტული ფუნ­ქციის მატარებელი.[2]

[1] აღსანიშნავია ახ. წ. 79 წელს ვულკან ვეზუვის ამოფრქვევის შედეგად ფერფლით დაფარული ქალაქი პომპეი.
[2] ძალიან ხშირად მონეტა, სტანდარტული მრგვალი ფორმის გამოიყენებოდა როგორც სამოსის შესაკრავი ღილი.
(Re)constructions of femininity in the entertainment programme „Ladies and Peasants” broadcast on TTV – the perspective of pedagogical research
Authors: Zaworska-Nikoniuk Dorota Monika 
Published: December 2024

<b>Cel</b>. Celem badań jest poznanie dominujących przekazów mieszkanek miast i wsi prezentowanych w programie Damy i Wieśniaczki. Przedmiotem badań jest program telewizyjny. Ramę pojęciową badań stanowiły podstawowe kategorie pedagogiki społecznej. Próbą badawczą było siedem sezonów programu (101 odcinków), emitowanych w TTV w latach 2016–2023. Ze względu na to, że przedmiotem badań jest program telewizyjny, przekaz jest tu jednostronny, a jego oglądanie nie wymaga od widza żadnej dodatkowej aktywności
poza pasywnym odbiorem. Obrazy wieśniaczek i dam kreowane w programie mogą narzucać odbiorcom definicje kobiecości, są więc szczególnie istotne z perspektywy pedagogiki społecznej, uwrażliwionej na społeczne (w tym płciowe) nierówności. <b>Materiały i metody</b>. Metodą zbierania danych było przeszukiwanie źródeł wtórnych, zaś strategią analizy danych była analiza dyskursu.
<b>Wyniki i wnioski</b>. Tożsamość damy określały dyskursy nowobogactwa, luksusu, doskonałości ciała, wiecznej młodości, zaś wieśniaczki – zaniedbania i biedy, ciała niedoskonałego i nieadekwatnego. Kategorię domu rodzinnego wieśniaczki zdominowały dyskursy zaniedbania, niechlujstwa (brudu), biedy, zaś damy – luksusu, modnej architektury, nieskazitelnej czystości, przestrzeni, samotności. W prezentacji rodziny i życia rodzinnego w dyskursach kobiety ze wsi uwidacznia się sylwetka kobiety-Atlasa (siłaczki), żyjącej w rodzinie patriarchalnej, matki-misjonarki, natomiast damy: równouprawnienia płci, kobiety zdobywanej i uwodzonej, tęsknoty za macierzyństwem. Praca zawodowa wieśniaczki ukazywana była jako praca dobrej rolniczki i uległej żony, zaś damy jako lekka i przyjemna, będąca realizacją pasji i marzeń. W kategorii czasu wolnego wieśniaczki wyróżniono dyskurs pielęgnacji więzi rodzinnych i sąsiedzkich, ludowej zabawy, celebrowania tradycji, zaś damy – dyskurs próżności i konsumpcjonizmu.
SSTar-TransGAN: Transformer-based Unsupervised Multi-modality Hyperspectral Digital Staining Network
Authors: Wang Yukun , Gu Yanfeng 
Published: December 2024

Immunohistochemistry (IHC) plays an important role in accurate cancer screening and diagnosis, the clinical application of which has been restricted by complex operation process, high costs and demand of professional skills from pathologists. Digital staining methods based on deep learning provide the possibility for Hematoxylin & Eosin (H&E) stained images to be converted into IHC stained images, but it needs to train multiple staining networks for various modalities of IHC images from different cancers, thus weakening the versatility and convenience of digital staining in the process of practical application. At the same time, microscopic hyperspectral imaging technology can provide abundant spectral information for pathological images, which has been proved effective in digital staining tasks to transform staining modalities from one to many, but microscopic hyperspectral imaging has also been troubled by time-consuming acquisition process and huge data storage. In order to overcome the above challenges, we propose SSTar-TransGAN network for digital staining tasks. With the inhabitation of StarGAN structure, SSTar-TransGAN transfers the training burden of generators into lightweight style encoders between different modalities, while in addition to the introduction of transformer structure into the encoder, the application of spectral super-resolution Swin-Spectral Transformer U-Net (SSTU) network enables the convertion from H&E stained RGB images into hyperspectral images as well, which ensure the spatial structure and color information of IHC images under multiple staining modalities and the further conversion between different staining modalities. Qualitative and quantitative experiments prove the performance of SSTar-TransGAN on digital staining tasks superior to other state-of-the-art digital staining methods.
Stress calculation and strength verification of desulfurization and denitrification tower based on carbon-based catalytic multi-pollutant control technology
Authors: Jiangong Gu , Linlin Wu , Lina Shi , Xiangfeng Zheng , Yun Xu , Yining Liu , Jiayu Wu , Honghui Shi 
Published: December 2024

The desulfurization and denitrification tower is the core equipment of the carbon-based catalytic multi-pollutant collaborative control technology. Its design strength ensures the pollutant removal effect and stable operation of the system. This paper used ANSYS finite element analysis software to establish a three-dimensional model of the tower and divided it into high-precision grids. Combined with actual load analysis, calculation and working condition combination, the deformation and stress distribution nephogram of the tower and the membrane stress and bending stress of each component were calculated. The strength check and stress assessment were carried out. When the calculation error is ignored, the overall design strength of the tower meets the requirements, but the stress of the local reinforced beams exceeds the limit. It is recommended to replace the steel with a higher allowable stress value.
The study focuses on the development of an intelligent system for measuring carbon emissions and managing carbon assets in thermal power plants
Authors: Zhou MengLin , Lang ShiWei , Li YuTong 
Published: December 2024

A reliable carbon measurement system serves as the foundation for effective carbon asset management. This paper presents a sophisticated smart carbon emission measurement and carbon asset management system specifically designed for power plants. Leveraging the operational conditions of a power plant's DCS, it enables real-time carbon emission accounting based on live data. The system seamlessly integrates online monitoring to facilitate accurate carbon emission measurement, automating the calculation, collection and reporting of emissions data while also conducting pre-review checks for compliance with reporting standards. Additionally, it simulates enterprise allocation and conducts predictive analysis to visualize both carbon emission data and quotas. By tracking, analyzing, and predicting trends in carbon trading, the system offers strategies to optimize carbon asset trading. It effectively manages all aspects of carbon assets throughout their lifecycle. The implemented system has demonstrated stability at a specific power plant by successfully measuring emissions, managing monitoring activities, diagnosing emissions data issues, performing indicator analysis and warnings generation, generating comprehensive reports on emissions verification management as well as facilitating compliance with regulations related to carbon trading. This solution helps enterprises ensure the preservation and growth of their valuable carbon assets while promoting revenue growth from efficient carbon trading practices which ultimately showcasing the value of digitalized carbon emission measurement and intelligent carbon asset management for power enterprises.
Fundus Vascular Segmentation Based on Data Enhancement and Invariant Feature Extraction
Authors: Cheng Lei , Li Yumeng , Han Jingyi 
Published: December 2024

Deep neural networks have emerged as the predominant method for medical image segmentation, owing to their robust feature learning capabilities, enabling accurate automatic segmentation of target structures within intricate medical images. Fundus images, being crucial in diagnosing ophthalmic diseases, underscore the importance of effective segmentation techniques. However, fundus vascular images pose challenges due to their high complexity and subtle individual differences, necessitating improvement in existing segmentation methodologies for enhanced disease classification accuracy. This paper introduces a fundus blood vessel segmentation model, employing data augmentation and invariant feature extraction, to systematically tackle the core challenges in medical image processing, particularly in fundus blood vessel segmentation. These challenges include limited source domain samples and inadequate model domain generalization. The model adopts a dual-dimensional strategy. Firstly, it delves into data augmentation technology to enhance the diversity and representativeness of samples within the finite source domain. This is achieved through an image enhancement module based on Fourier transform, mitigating the impact of data scarcity on model training effectiveness. Secondly, the research focuses on interdomain invariant feature extraction, aiming to extract feature representations that consistently characterize fundus blood vessel structure and pathology across different data distributions, thereby enhancing model generalization performance in unfamiliar domains. Specifically, the paper designs a fundus image enhancement module based on Fourier transform in the data augmentation dimension. In the feature extraction dimension, it proposes a normalization module based on uncertainty theory, departing from traditional normalization methods. Experimental results demonstrate the efficacy of the proposed method, showcasing superior generalization performance compared to existing techniques in retinal blood vessel and OD/OC segmentation tasks. Experience validates the model-agnostic nature of the learned strategy, indicating its potential for seamless transferability to other models, thereby offering robust support for advancing medical image segmentation research and applications.
Kontribusi Verbal Abuse Terhadap Self Esteem Pada Remaja Awal Di Kota X
Authors: Assilmi Hayati , Mario Pratama  
Published: December 2024

Remaja awal merupakan usia peralihan individu dari anak-anak menuju dewasa, pada usia ini individu harus memperoleh dukungan yang positif dari lingkunga agar berkembang pula nilai positif dalam dirinya. Namun sering kali ditemukan lingkungan yang menunjukkan respon negatif pada individu tersebut salah satunya dalam bentuk kekerasan dengan perkataan dikenal dengan verbal abuse yang seringkali pelakunya tidak menyadari bahwa telah melakukan kekerasan psikis sehingga berdampak pada individu salah satunya self-esteem. Penelitian ini bertujuan untuk mengetahui kontribusi verbal abuse terhadap self-esteem pada remaja awal di Kota X. Desain penelitian dengan kuantitatif, teknik sampling yang digunakan adalah purposive sampling. Jumlah sampel dalam penelitian ini sebanyak 111 responden dengan karakteristik sampel yang ditentukan peneliti. Hasil data yang diperoleh dianalisis dengan analisis regresi linear sederhana, didapatkan nilai dan . Hasil penelitian ini menunjukkan bahwa adanya kontribusi verbal abuse terhadap self-esteem pada remaja awal di Kota X.
Training on Processing Natural Resources into Processed Food and Health Products for Mothers in Tondongggeu Village, Nambo District, Kendari City
Authors: Ambardini Sri , Ahmad Sitti Wirdhana , Muhsin Muhsin , Karya Adi , Syah Muhamad Azwar , Adi Parman Rudia La Ode , Yanti Nur Arfa 
Published: December 2024

This community service activity is a training activity on the manufacture of health and food products that have the opportunity to improve the community's economy as well as providing education on the use of moringa leaves as face masks and papaya fruit as an analog tomato sauce to mothers in Tondonggeu Village, Nambo District, Kendari City. Tomato sauce is generally made from tomato raw materials, but it can also be made from other ingredients so it is called an analog tomato sauce. Tomato sauce is generally made from tomato raw materials, but it can also be made from other ingredients so it is called an analog tomato sauce. Papaya as a substitute for tomatoes in making analog tomato sauce can be done because papaya has characteristics like tomatoes, namely color, organic acid content, and viscosity, even papaya has a higher vitamin C level than tomatoes. Moringa leaves contain many vitamins, including vitamin A, vitamin C, amino acids and antioxidants such as flavonoids, quercetin and zeatin which function to maintain dry skin hydration and prevent the appearance of wrinkles, because it helps fight free radicals, so it is very good to be used as a cosmetic ingredient in the form of a face mask. Participants in this training involved residents of Tondonggeu village, Thematic KKN students and a team of accompanying lecturers from the Biotechnology and Biology study program of FMIPA Halu Oleo University. The training methods used are lectures, demonstrations and discussions. The lecture method was carried out with the aim of providing information and knowledge about moringa masks and analog ketchup. The demonstration aims to provide skills to mothers through the practice of directly processing moringa leaves into masks and papaya fruits into analog tomato sauce while the discussion is intended to show the activeness and understanding of the community during the training process. The results of the training on making masks and analog tomato sauce carried out by mothers are in the good category with an average success of 85%, their response to the implementation of the training is very good as seen from the enthusiasm of the residents to participate in the activity from the beginning to the end. This training activity can increase knowledge and improve mothers' skills in producing moringa masks and papaya analogue tomato sauce.
The Extension of Maggot as a High-Protein Chicken Feed for Latompe Farming Community
Authors: La Ode Abdul Asis Hasidu  , Thamrin  , Wa Ode Amrina  
Published: December 2024

This service program aims to provide an alternative feed for local chickens (Gallus domesticus) with high protein to the Latompe farming community. The alternative feed are maggots which are the larvae of Black Soldier Flies (Hermetia illucens). It is hoped that the chicken farmers in Latompe village will no longer only depend on carbohydrate-based feed such as corn to obtain maximum chicken growth. To transfer that new technology, the farmer's educators managed a mass socialization and made presentation slides, leaflets, and on-site practice followed by periodic assistance. As a result, the maggot extension program has been running well and several breeders have been able to cultivate maggots for their chickens' feed. It is hoped that this program can be implemented sustainably to obtain maximum production of local chickens.
WOMEN ENTREPRENEURIAL AND ENVIRONMENTAL FACTORS ENCOURAGING GOALS ATTAINMENT IN THE SOCIETY
Authors: LADAN O. NASIRUDEEN  , ABUBAKAR O. OSABO  
Published: December 2024

The main drivers of women's entrepreneurship span from entrepreneurial framework conditions, socio-cultural influences, gender-specific challenges, and economic contributions to innovation and sustainability. This paper examines the effects of the above elements on growth, resilience, and sustainability in women-owned enterprises through a thematic analysis of empirical studies that investigate how these different aspects have influenced the development of women-owned enterprises. Some findings also show that women entrepreneurs face specific obstacles in establishing and sustaining enterprises, scaled by constraints in accessing finance, induced biases by gender conditions, and inadequacy in managerial training. However, supportive socio-cultural dynamics, the adoption of digital technologies, and targeted policy frameworks have been imperative to foster entrepreneurial success. This study takes cognizance of the role played by women entrepreneurs from an economic and social perspective. This role was targeted to reduce poverty and enhance community development to strategically achieve both Sustainable Development Goal (SDG) 1-(Poverty Reduction) and SDG 8-(Economic Growth). The theoretical framework for the study is ‘social feminist theory’, which postulates that patriarchal structures in society are one of the avenues for unequal distribution of resources, power, and decision-making, thus shaping the female gender's actions in entrepreneurship. The policy recommendations for this study include identifying enhanced financial access, and digital transformation among others.
WASTE MANAGEMENT PRACTICES IN ALIMOSHO LOCAL GOVERNMENT AREA, LAGOS, NIGERIA
Authors: ADEMOLA FARINMADE  , OMOBOLANLE AKINOLA  , MOBOLAJI BABALOLA  
Published: December 2024

The study delves into the waste management strategies in Alimosho local government area, with Ile Epo as a focal point. The study aims to analyze the current waste generation pattern and disposal methods in the area, evaluate the effectiveness of existing waste management strategies, and assess the health implications of waste management practices in the locale. A total of 155 questionnaires were distributed to gather data on socioeconomic characteristics, waste generation, waste management techniques, and health challenges associated with waste management. A simple random sampling method was employed to select households in the designated buildings. Data analysis involved both descriptive and quantitative statistical methods. The study findings were visually presented through tables and charts. The analysis uncovered that a substantial proportion of respondents are employed (23.23%), with students and unemployed individuals constituting 0.65% and 6.45% respectively. The majority of households dispose of waste on a daily basis (85.16%), predominantly through incineration (79.35%) and open dumping (89.03%), with limited utilization of recycling or composting practices. ANOVA results demonstrated significant discrepancies in satisfaction levels among respondents regarding current waste management practices (p<0.001). Regression analysis indicated a moderate positive correlation between the neutral category and overall satisfaction (R2 = 0.12, p < 0.001). Furthermore, the results revealed an R value of 0.35, indicating a considerably strong positive relationship between satisfaction levels and waste management practices. An overwhelming 99.35% of respondents reported health issues potentially linked to waste management practices, such as skin infections and gastrointestinal problems. The study proposes various recommendations including enhancing infrastructure, increasing waste collection frequency, investing in modern processing facilities, and advocating for community engagement and education to enhance waste management practices and mitigate health impacts.
EMERGING TRENDS IN LEARNING TECHNOLOGIES FOR SECOND LANGUAGE LEARNERS IN THE 21ST CENTURY
Authors: OYEDAPO, ADEREMI DAVID  , OGUGUA, EMMANUEL ONYEMA  , LAWAL, OLALEKAN JOSHUA  
Published: December 2024

This paper critically examined the new trends in innovative technology, enabled by Internet technology, that have simplified the learning of a second language autonomously. After a thorough literature review of emerging information and communication technologies (ICT) for learning a second language, attention is paid particularly to Internet-based applications such as language translators, voice-to-text, and text-to-voice applications as powerful tools for learning a second language. The effective ways of using these tools to maximize both cognitive and psychomotor behavioral changes in second language learners were emphasized. The two-way translation method is one of the strategies presented in this paper to ensure accuracy in the interpretation of the new language. The pros and cons of adopting this technology were highlighted. The indispensable roles of learning a second language in the intellectual and socioeconomic development of an individual were discussed, and finally, recommendations were made.