bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cultural Transfer in Translation. Seamus Heaney’s Poetry: A Case Study
Authors: Mitrea Alexandra 
Published: March 2024

Abstract
The present article sets out to investigate the rendering of cultural elements in the process of poetry translation, an undertaking that is a strenuous one, given the constraints of form. It looks into and illustrates the many layers of Seamus Heaney’s poetry, pointing at the profusion of allusions to cultural aspects that are embedded in the texts, and that ask the translator to decide whether to “foreignize” or “domesticate” the text. These extratextual features that a translator needs to consider are imbricated with the various textual elements, generating effects that are difficult to replicate in translation, making similarity of effect all the more difficult to achieve.
Specific Problems Posed by Drama Translation: Translating and Adapting Samuel Beckett’s Krapp’s Last Tape for the Radio. A Case Study
Authors: Morariu Denisa 
Published: March 2024

Abstract
The present article aims at presenting features specific to translating dramatic texts, the peculiarities of the genre and how these can be tackled in the process of translating. The case study comprises an analysis of the translation and adaptation for radio broadcasting of Samuel Beckett’s Krapp’s Last Tape. Theoreticians have constantly pointed out that drama translators should always focus on the performability, speakability, gestural and aural dimensions of the text, given that the final product has to be playable in front of an audience. The ultimate goal is to obtain a text that sounds natural and is easily understood, where the aural and gestural dimensions fit and work together. In order to make the translated text performable in another medium, certain changes are necessary. In the present case study – adapting a play for radio broadcasting –, everything visual becomes aural, and in this process stage directions are the most challenging to be handled. Adding, omitting or rephrasing are options that the translator has to constantly consider.
Translation of Problematic Humour in Gender-Focused Bewitched
Authors: Opriţa Lorena 
Published: March 2024

Abstract
Broadcast from the early 1960s until the early 1970s, Bewitched was brought into being with the intention of providing the conventional American family with a constructive emotional outlet for when they would all gather around the TV and spend quality time together. The key demographic at that time consisted of young to middle-aged couples or newlyweds with or without children, basically the real-life versions of the characters portrayed in the show. Nowadays, the target audience has considerably diminished in number as the beloved TV series is no longer on TV. It remains available online for cinephiles and movie amateurs alike. The aim of this article is to methodically translate and analyse the potential setbacks of various comic and outdated instances encountered in the TV show Bewitched. It also consists of a thorough investigation of possible problematic linguistic aspects, as well as different sources of humour. Moreover, the target audience will be provided with alternatives in translation and additional explanations and reasonings behind the choices made.
Indigenous Autonomy and Financial Decision-Making in Communities
Authors: Blue Levon , O’Faircheallaigh Ciaran 
Published: March 2024

ABSTRACT
In this article, we argue that Indigenous autonomy, not increased regulation, is required to improve financial management and outcomes in Indigenous communities. We explore what may enable and constrain good financial practice and a move towards autonomous financial decision-making in Indigenous communities. Drawing on research about financial literacy education practices in a Canadian Aboriginal community and research in Australian Aboriginal communities receiving royalties from mining, we highlight the need for Indigenous autonomy in financial practices. Finally, we argue for the role of internal accountability in allowing a move towards Indigenous autonomy.
A Model-Based Approach to Mobile Application Testing
Authors: Xu Weidong , Cheng Jing 
Published: March 2024

Abstract
Modeling the automated testing of mobile applications is a crucial aspect of mobile application automation testing. Due to the varied styles and complex interactions of mobile applications, automated modeling methods are urgently required, particularly in the context of their short development cycles, large numbers, and fast version iterations and updates. In this paper, we address the challenge of exploring mobile application behavior and state based on robotic testing environment without invading the application interior, and propose a method for automated exploration of GUI components and GUI events of applications combined with application domain knowledge to generate mobile application GUI semantic test models. Our results show that the proposed semantic model achieves 70.6% and 82.4% defect detection rate in the robot vision environment and simulation environment, respectively. Compared with the comparative testing method that can only find application crash defects, our method can explore both crash defects and functional anomalies with the application semantic understanding and domain knowledge, thereby extending the automated mobile application functional testing capability of mobile applications. In response to the limitations of mobile application automated testing modeling mentioned above, this paper introduces an automated testing method based on semantic models. It uses the proposed semantic testing model to guide the purposeful exploration of the tested application’s states. Subsequently, it generates positive and negative test cases based on the domain knowledge associated with the semantic model. This modeling approach leverages domain models in the mobile application field to conduct automated modeling tests imbued with functional significance, guided by domain knowledge. This optimization aims to address the shortcomings of current automated testing, particularly in terms of model reuse and test expansion.
Design and Implementation of Smart Home System Based on STM32 Microcomputer
Authors: Ma Gao , Chen Lulu , Wang Yixiao , Fan Jiyao , Liu Jiaxuan , Tian Lei 
Published: March 2024

Abstract
With the rapid development of the Internet of Things science and technology, people′s living standards are gradually improving, and the requirements for the living environment are also getting higher and higher, which makes smart homes gradually enter thousands of households. The purpose of this project is to design a system that integrates hardware and software and can measure and transmit various data. Among them, the hardware part includes data measurement and data display. The data measurement module consists of DHT11 temperature and humidity sensor, DSM501 particle number sensor and MQ3 alcohol concentration sensor. The experimental data will be displayed on the TFTLCD screen. The system software is partly run on the Windows operating system, using the Python language development. This system takes ESP8266 module as the transfer station, realizes the communication between STM32 development board and computer. The experiment shows that the system has the advantages of high measurement data accuracy, fast data refresh speed, complete data transmission, simple design, high reliability, easy installation, economical and practical, and has certain practical value in life, production, industry and other fields.
The Application of Whale Optimization Algorithm in Array Antennas
Authors: Qin Long , Yu Sihang , Yu Fan 
Published: March 2024

Abstract
With the continuous improvement of various radio system performance indicators, the research work on antenna has become particularly important. According to different scenarios and requirements, practical projects also need the corresponding antennas to produce different radiation patterns. By reasonably setting the parameters of the array antenna, the target radiation pattern can be obtained to meet real life applications. When the array antenna has a large number of basic units and the expected far-field pattern is complicated, the design of the array antenna becomes a complicated optimization problem. To solve this problem, Whale Optimization Algorithm (WOA) is proposed. WOA is not only simple and fast, but can also get the global optimal solution. Therefore, WOA has developed rapidly in recent years. However, the application of this algorithm in the field of antenna design is still relatively rare, thus using WOA to solve the optimization problem of array antenna design is very valuable.
Research on Multi-Person Pose Estimation Technology
Authors: Wang Hongyan , Wang Changyuan 
Published: March 2024

Abstract
Human pose estimation is a hot topic of computer research in recent years, which promotes the progress of society and brings many conveniences to people’s lives. Fom traditional methods to the mainstream deep learning-based methods, the primary approach in deep learning involves the use of convolutional neural networks to reduce computational complexity and improve network accuracy, but because the network structure is too deep to improve the accuracy, the trained model parameters are also very large, and it is very dependent on the input of hardware equipment. At this time, the lightweight human pose estimation can solve this problem very well. This paper mainly describes the knowledge of convolutional neural network in detail and compares it with traditional image algorithms. The OpenPose model is a classic model based on convolutional neural network that can well achieve single-person and multi-person human pose estimation model, but because the convolution kernel in its network structure is too large to increase the amount of calculation, this paper proposes three improvements to the network structure of the conventional OpenPose model. Finally, the precision of the model is improved by about 40%, which verifies the feasibility of lightweight human body posture estimation research.
Research on Object Detection in Animal Images Based on Convolutional Neural Networks
Authors: Niu Yuxin , Wang Zhongsheng 
Published: March 2024

Abstract
Object detection is the use of computer to find out all the objects of interest in the image, determine their categories and locations, is one of the core problems in the field of computer vision. Traditional animal image target detection usually adopts the sliding window method, but due to the different sizes of the input images, this method has some problems such as insufficient training samples, low detection accuracy and slow speed. In order to solve such problems, based on the development of deep learning in recent years, this paper proposes an object detection algorithm based on convolutional neural network. YOLOv5 was used to effectively distinguish, identify and mark animal categories, which accelerated the training of the model and greatly improved the accuracy of target detection. Through the analysis of experimental data, it was concluded that the algorithm studied in this paper had good performance and good target detection results. Finally, the key problems of object detection research are summarized, and the future development trend of this field is prospected. When the number of training rounds is 30, the accuracy rate has reached about 70%, and after 50 rounds of training, some accuracy can reach 90%, which is excellent and better than other traditional algorithms.
Research on Improved Dual Channel Medical Short Text Intention Recognition Algorithm
Authors: Wang Chao , Sun Yongyong , Xu Fei 
Published: March 2024

Abstract
The increasing application of medical robots in the healthcare sector underscores the critical importance of intent recognition in enhancing the interaction and assistance capabilities of these robots. Traditional intent recognition methods utilize convolutional neural networks (CNNs) for text analysis but often fall short in capturing global features, resulting in incomplete information. To address this challenge, this paper introduces an innovative approach by combining an enhanced CNN with bidirectional gated recurrent units (BiGRU) to construct a dual-channel short-text intent recognition model. This model effectively leverages both local and global features to more accurately comprehend user needs and intentions. Experimental results demonstrate that this model excels, achieving an accuracy rate of 96.68% and an F1 score of 96.67% on the THUCNews_Title dataset. In comparison to conventional intent recognition models, it exhibits significantly improved performance, thereby providing substantial support for medical robots in patient care and assisting healthcare professionals.
Utilization of Oak (genus Quercus) tree parts in food industry: a review
Authors: Pencák Tomáš , Dordevic Dani , Tremlová Bohuslava 
Published: March 2024

Abstract
Acorns, the fruit of the oak tree, as well as oak leaves have been for a long time an important source of food in various cultures throughout history. However, over the time they have disappeared from the diet and their usage in the food industry was minimal, especially due to the high tannin content and astringency. Despite that, several products have begun to appear on the market in the recent years such as an acorn flour or acorn coffee substitute and some studies were focused on the possibilities of using oak leaves extracts as a natural antioxidant against protein and lipid oxidation in the meat industry as well as for the beverage production.
Determinants of Energy Consumption in the Dairy Industry: A Case Study in Poland
Authors: Wojdalski Janusz , Ligenza Przemysław , Postuła Marta , Dróżdż Bogdan , Niżnikowski Roman 
Published: March 2024

Abstract
The correlations between two groups of factors and energy consumption were analysed in four types of dairy plants with different production profiles. Groups of dairy plants with a similar production profile, as well as individual plants, were compared. Energy consumption was most strongly correlated with technical equipment (r = 0.88 – 0.99); this observation can be used by designers to promote better energy conservation measures during plant operation. Energy consumption was highest in plants producing milk powder. Plants specializing in milk powder may also produce up to 8 other dairy products; however, engineering and production factors can significantly contribute to reducing energy consumption, which suggests that energy is being consumed for non-production purposes at these plants.
The variation in energy consumption per unit of end-product was best-explained in small dairy plants producing up to 4 products. In analyses of individual plants, energy consumption per unit of end-product was strongly correlated with both the milk-processing output and the production profile. The equations developed in this study, in particular the regression coefficients, can be used to generate additional information for detailed analyses. The structure and level of detail of the independent variables also means that the presented equations can be applied to reducing power consumption of the operated equipment, and for optimizing overall production profiles.
The results of the study can be used to model energy consumption in different types of dairy plants and to evaluate their environmental performance. The international literature was reviewed, and the results of research studies analysing the correlations between energy consumption in dairy plants and their environmental impact were cited in the paper.
Digital Personal Branding Konten Kreator Penyiar Melalui TikTok
Authors: Djeke Stella Clarissa , Paramita Sinta 
Published: March 2024

Social media is a place for the personal branding of internet users. In Indonesia, TikTok is the social media that ranks 2nd with the largest number of users. This is because this social media features audiovisual content accompanied by interesting features. Raye Shabrina is a private radio broadcaster in Jakarta who actively creates content on the TikTok platform. Initially, she uploaded content in the form of duets with foreign broadcasters. The content evolved into broadcast and public speaking exercises. By using the netnography method that utilises data through social media, the researcher intends to find out how Rayes Shabrina builds a positive image through her TikTok account @rayeshabrina. The application of the concept of The Eight Laws of Personal Branding by Peter Montoya (2004) is a reference in finding out the relevance between the concept and the content uploaded by Raye Shabrina. Data collection was carried out by pulling data through the Analisa.io website, supported by interviews, observation, and documentation. This research shows that as a broadcaster, the interviewee succeeded in doing digital personal branding by presenting the image of an educative broadcaster in a cheerful and enthusiastic manner and being consistent in creating content.
Media sosial merupakan wadah personal branding para pengguna internet. Di Indonesia, TikTok merupakan media sosial yang menempati urutan ke-2 dengan pengguna terbesar. Hal ini karena media sosial ini menampilkan konten audiovisual disertai dengan fitur menarik. Raye Shabrina merupakan penyiar radio swasta di Jakarta yang aktif membuat konten pada platform TikTok. Awalnya, konten yang diunggah berupa duet dirinya dengan penyiar luar negeri. Konten berkembang menjadi latihan siaran dan public speaking. Dengan menggunakan metode netnografi yang memanfaatkan data melalui media sosial, peneliti bermaksud mencari tahu bagaimana Rayes Shabrina membangun citra positif melalui akun TikTok @rayeshabrina. Penerapan konsep The Eight Laws of Personal Branding oleh Peter Montoya (2004) menjadi acuan dalam mencari tahu relevansi antara konsep tersebut dengan konten yang di unggah Raye Shabrina. Pengumpulan data dilakukan dengan menarik data melalui website Analisa.io didukung dengan wawancara, observasi dan dokumentasi. Penelitian ini menunjukkan bahwa sebagai seorang penyiar, narasumber berhasil melakukan digital personal branding dengan menampilkan citra seorang penyiar edukatif dengan pembawaan yang ceria dan semangat serta konsisten dalam membuat konten.
Komunikasi Simbol Tradisional Jawa pada Ruang Pendopo di Restoran Warisan By Lordji
Authors: Lauw Laura , Pandrianto Nigar 
Published: March 2024

Each restaurant certainly has its own charm and characteristics, one of which is the Warisan By Lordji Restaurant. This restaurant has a unique concept, which is a restaurant with a traditional Javanese concept. This can be seen from the shape of the building, indoor and outdoor decorations, until the food menu. In the restaurant building with a traditional Javanese concept, of course it has certain spatial functions, symbols and meanings in communication. In this case, researcher will discuss how spatial functions as a medium for communicating traditional Javanese symbols at the Warisan By Lordji Restaurant. The method used in this research is a qualitative descriptive method. The theories used are intercultural communication, traditional architecture, spatial, symbols, pavilions as symbols, and store atmosphere. The results and conclusions that can be drawn from this research are that in today's modern world, most restaurants that use traditional Javanese concepts no longer have or contain sacred symbolic values. Most of the symbols on pavilions in restaurants have been negotiated or mixed and adapted to modern values. However, even though it has been mixed with modern values, restaurants with a traditional Javanese concept are still considered attractive and unique to this day.

Setiap restoran memiliki daya tarik dan ciri khas tersendiri, salah satunya Restoran Warisan By Lordji. Restoran ini memiliki konsep yang unik yaitu dibangun dengan konsep tradisional Jawa. Hal ini dapat dilihat dari bentuk bangunannya, dekorasi dalam ruangan maupun luar ruangan, hingga menu makanan. Bangunan restoran dengan konsep tradisional Jawa, memiliki fungsi ruang, simbol-simbol dan arti tertentu pada komunikasi. Penelitian ini mengenai bagaimana fungsi ruang sebagai media komunikasi simbol tradisional Jawa pada Restoran Warisan By Lordji. Metode yang digunakan dalam penelitian ini merupakan metode deskriptif kualitatif. Teori yang digunakan antara lain komunikasi antarbudaya, arsitektur tradisional, ruang (spatial), sampai simbol, pendopo, serta store atmoshphere. Kesimpulan yang dapat ditarik melalui penelitian ini antara lain di dunia modern sebagian besar restoran yang menggunakan konsep tradisional Jawa sudah tidak memiliki atau mengandung nilai-nilai simbolik yang bersifat sakral. Sebagian besar simbol pada pendopo di restoran sudah dinegosiasikan atau bercampur dan disesuaikan dengan nilai modern. Namun meskipun telah bercampur dengan nilai modern, restoran dengan konsep tradisional Jawa masih tetap dianggap menarik dan diaggap unik sampai saat ini.
Consumer Perceptions and SWOT Analysis of Seed Products From the Seed Center Teaching Factory
Authors: Harlianingtyas Irma , Pratiwi Berlina Yudha , Kusuma Satria Indra 
Published: March 2024

Superior rice seeds can increase production by at least 10%/ha, but this program must be supported by the availability of seeds, and easy access to seeds at affordable prices for farmers. One of the superior seed producers in Jember is the Seed Center Teaching Factory of Politeknik Negeri Jember. Seed Center products are distributed to areas around Jember, Bondowoso, Situbondo, Probolinggo, and several areas outside Java. Sustainable products are affected by product quality and maintaining customer satisfaction. This research aims to analyze consumer perceptions, measure customer satisfaction, and determine recommendations for product improvements and marketing strategies that appropriate consumer needs. Data were collected through interviews and questionnaires while using SWOT analysis. The sample in this study included agricultural shops as regular consumers and farmers as direct users. The results show that all seed products are in great demand by consumers and farmers, namely Inpari 32, Logawa, Ceherang, and Sintanur. The biggest weakness is limited buyer partners, products not always available, and outlets far from the market. Besides that, the biggest opportunity is an abundant market and basic needs products supported by the government. The strength is that the products are complete business legality and certified seeds, affordable prices, solid team, and sufficient business capital.
МОНЕТАРНА ПОЛІТИКА ТА СТАБІЛЬНІСТЬ БАНКІВСЬКОЇ СИСТЕМИ В УКРАЇНІ
Authors: Дем’янчук Ольга , Павленко Богдана 
Published: March 2024

У даній статті досліджено взаємозв’язок монетарної політики з фінансовою стабільністю держави, як дії Національного банку України впливають на досягнення поставлених стратегічних цілей. Розглянуто поточний стан грошово-кредитної політики України, для повноцінного огляду також було проаналізовано зміни та коливання показників головних монетарних інструментів та їх вплив на функціонування фінансової системи в сучасних умовах. Досліджено особливості функціонування банківської системи у воєнний період, та основні зміни в законодавчому полі регулювання банківської системи з огляду на особливості військового часу.Ключові слова: монетарна політика, монетарні інструменти, Національний банк України, грошово-кредитна політика, банківська система, інфляція, міжнародні резерви.