bluuebunny/crossref_metadata_2025 huggingface dataset:
Bridging the Gap: Exploring the Revolutionary Application of GenAI in Language Teaching and Learning
Authors: Sheetal Jadhav
Published: April 2024

Objective: The objective of this research is to investigate the possibilities of Generative AI (GenAI) in language education, to suggest the ways of overcoming limitations, restructuring teaching methods, and improving language assessments. It seeks to study the influence of GenAI on the learning outcomes of language and student satisfaction and address ethical aspects. Methodology: A multi-methods approach was utilized in which demographic analysis, pre-test and post-test assessments, GenAI usage analytics, course evaluation surveys, and focus groups were conducted. Participants were divided into control and experimental groups, with the experimental group being engaged in GenAI-assisted language learning activities. Statistical analysis was carried out to compare pretest and post-test scores, to evaluate GenAI usage patterns and to analyze the survey responses. Findings: The demographic analysis indicated equally distributed across gender and age brackets with differences in technology expertise and AI exposure. Pre-test and post-test scores comparison demonstrated significant improvement in both groups but the experimental group showed significant more gains, showing GenAI- assisted learning to be very effective. GenAI utilization analytics showed significant use of GenAI by the experimental group participants. Ratings from a course evaluation survey showed a higher level of overall satisfaction and positive perception of GenAI. The study demonstrates the transformatory role of GenAI for language teaching, implying teaching techniques and student participation. Novelty: This study adds to the developing area of AI-augmented language education, as it offers empirical proof of the benefits of GenaAI in improving language learning results and increasing student satisfaction. It fills the gap in literature by investigating the effect of GenAI on various facets of language education, including teaching approaches, assessments, and student interaction. The results are a reminder of the key role of ethical issues in the application of AI technologies in education and give a direction for further research and practice.
Application of Plackett-Burman Design in the Screening of Factors Acting on the Sulfuric Leaching Process of Rare Earths from Moroccan Phosphogypsum
Authors: F. Asafar
Published: April 2024

As the main waste of the phosphates industry (200–300 million tons per annum produced globally), phosphogypsum (PG) is a major environmental concern (85% of PG is disposed of on land or at sea). The valorization of PG as a secondary source of rare earth elements (REE) is one of the most recent valorization options under investigation. This study investigated the sulfuric acid leaching process of REE from a Moroccan PG. Plackett -Burman design was used to statistically screen significant factors affecting the leaching efficiency of REE named the studied response (Y). Seven factors considered potentially influential were studied as the model variables : Sulfuric acid concentration (X1); Solid to liquid ratio (X2); Drying temperature (X3); Leaching time (X4); Stirring speed (X5); Temperature (X6), Particle size (X7). According to the results, the predicted values of the fitted model were in good agreement with the experimental values by a coefficient of determination (R2) equal to (99 %). drying temperature has a statistically insignificant effect with p=0.336 > 0.05. All the other six variables have significant effects (p < 0.05), but 97,91 % of Y was affected only by the following four factors: X1 (63.71%), X4 (17.94%), X2 (9.98%) , X5 (6.24% ).
IoT-Enabled Wireless Sensor Networks and Geospatial Technology for Urban Infrastructure Management
Authors: E. S. Phalguna Krishna
Published: April 2024

This study is the first to evaluate how effectively urban infrastructure may improve using an innovative approach that combines IoT-enabled wireless sensors, geospatial technology, and machine learning. Smart healthcare monitoring and management is a particular focus. We conducted a series of experiments and evaluations to prove the effectiveness of this approach in actual urban environments. In this research, a series of sensor networks is developed and deployed to collect real-time health data from patients. It is sent to a central controller, and then on up to the cloud for analysis. Various machine learning algorithms are used - such as ANN, LR, DT, and SVM - to predict patient health status on the basis of sensor readings. The results of our experiments show that the ANN model achieved an accuracy rate surpassing all others at 98.65%. Geospatial technology is also looked at in the research as a way to visualize and analyze urban health data. This is necessary for informed decision-making by healthcare providers and urban planners. This research paves the way for smarter, more resilient, and sustainable urban environments by using the latest technology and data-driven methods to advance urban infrastructure Management.
The Meaning of Emoticon Used by K-Pop Fans
Authors: Gabriella Novianty Soedjarwo
Published: April 2024

K-pop has influenced people globally. The fans of K-pop idols are everywhere. The news about k-pop idols is usually swarmed by emoticon. The emoticon is used to enhance the message to their idols. Emoticon is chosen to enhance the meaning since the popularity of emoticon is increased. This study was conducted to explore the meaning of the emoticon used by the k-pop fans. There are 150 comments using emoticon analysed which were taken from the Instagram. The data were analysed using the semiotics from Roland Barthes. This semiotics theory was chosen since the analysis went to finding the myth of the emoticon used. The result of this study is the emoticon used shows how close the relationship is between the k-pop fans and their idol. It is shown on most of the emoticon used are related to love, kiss, and hug which means k-pop fans see their idol as someone they love the most and always root for them. The result of this study supports the idea that k-pop fans often indulge in the romantic fantasy with their idols.
Healthcare Integrated Information System in Indonesia
Authors: Eko Prasetyo Nugroho
Published: April 2024

The United States (US), leads the world in medical science and technology. Lead by clear definitions in almost all sectors of clinical research, training and governance practices. Likewise, the pharmaceutical and medical device (medical equipment) manufacturers are considered one of the leading in the world. Therefore, many of the definitions and rules have also been adopted into global regulations by the world health organization, the World Health Organization (WHO). Currently, these rules have been implemented into the health information system (HIS), which further rapidly being adopted and used in many countries. Nowadays, health facilities (HF) around the world have used HIS, which are basic or have reached an advanced level. This paper will describe how the development of HIS and applied products from utilization of information technology (IT) in Indonesia, along with the opportunities and challenges in the future.
Analysis of Road 3 Asia (R3A)’s Impacts on Border Trade of Thailand
Authors: Rattanameechai Chinwadee
Published: April 2024

Trade opening has become an important asset for economic development in many countries and an important engine of economic globalization (Wang, Shan-Li, et al, 2020). With continuous foster on the regional economic cooperation, countries with close proximity further promote the mobility and development of infrastructures and policies. Nevertheless, testing a trade integration model of bilateral trade is not sufficiently well estimated with the Bayesian approach to provide practical evidence of trade integration. Moreover, in identifying the factors determining trade integration, testing using the Bayesian gravity equation is essential. After performing a series of simulation experiments, a relationship between bilateral trade volume and simulated trade determinants was predicted for the trade model. The results of the estimated coefficients on GDP in Thailand and GDP of Yunnan province, China are positively significant predictors of the trade growth. The distance between the countries has a negatively significant estimation that implies barriers in trade. The model predicts trade integration, especially towards the trade on route R3A. The Bayesian approach of the gravity model gives robust estimates for determining the impact factor for the bilateral trade, including the fact that the elasticities of total trade volume with respect to distance, population, and the exchange rate of Thailand are negative while the GDP per capita are positively significant. Further, economic size, GDP per capita, and exchange rate of the destination, and population and area of Yunnan province are positively predicted by the model. The estimated parameters are directly the elasticities, in which increases in GDP is consistent with the higher trade volumes. Further, evidence of the gravity equation is used for understanding trade potential, and after some integrations, the estimation is applied for the real trade. The measures of bilateral trade resistance or costs associated with the trade flow has influenced the expanding of the bilateral trade in the model in the GMS economies. Finally, trade integration can be implemented with evidence and estimates of the gravity model. The Bayesian experiment for the estimation of the impacts of the trade integration on route R3A predicts an increase of GDP, population, exchange rate, and GDP per capita as predominant predictors in the Bayesian gravity model. Thus, the results revealed that economic size, bilateral distance, and GDP per capita has affected the plausible trade agreements for trade integration on route R3A.
Customer Selection in the Conversion Program of LPG Stove to Induction Stove
Authors: Indra Darmawan Budi
Published: April 2024

The oversupply condition is due to differences in the current electricity supply which is higher than actual electricity demand. One option to increase demand is by converting LPG stoves into induction stoves. To achieve the conversion goal successfully, a customer selection process must be carried out to determine the conversion targets, aiming for a significant increase in electricity demand with the lowest investment costs. The main problem is the absence of a standard for determining conversion targets. The combination of clustering techniques and Multiple Criteria Decision Making (MCDM) analysis provides the best ideal solution to overcome these problems. The research included several main criteria for selecting customers that support the success factors of implementing a conversion program. The initial analysis involved clustering customers based on coordinates using the k-means method. By using the clustered customer data, the TOPSIS (Technique for Ordering Preference by Similarity to an Ideal Solution) method identified the best cluster based on general criteria. Additionally, using detailed customer data, the TOPSIS method also identified the ranking of customer priorities for each selected cluster. The recommended priority target customers are those with the greatest potential for additional kWh, the best level of electricity reliability, shortest distance to the cluster centroid, and supplied by feeders and distribution transformers with the largest reserve margin. The results indicated the difference in revenue improvement compared to the current method was US$ 16,291.31 per month. Investment costs were also reduced by US$ 166,084.80 compared to the current method. The other results were a reduction in operational costs, improvement in average reliability according to the SAIDI SAIFI, improvement in the average operation-hours, and an improvement in the distribution transformer average reserve margins.
What do they Know: Adolescents' Discernment on Pornography
Authors: Alma G. Galang
Published: April 2024

The proliferation of the internet has sparked concerns among educators and advocates for gender equality that pornography is becoming both more severe and more accessible. The study described the perception of students from private and public schools concerning pornography. The study also determined the values of students from private and public schools about pornography. This study used descriptive method and surveyed a total of 289 students both from public and private schools. Based on the data, the researchers concluded that pornographic media did not encourage students to engage in such sexual practices. Hence, the students were not embarrassed while seeing sexual videos. The researchers also determined that the students did not enjoy watching pornography with their partner, as perceived by their values, and that they were not ashamed to disclose that they do so. As the majority of high school students were adolescents, it is suggested that parents, guardians, and teachers of both public and private schools monitor and educate students to prevent teenage pregnancy. Students, parents, guardians, and educators should be informed on this topic in order to raise their awareness. Since the sample size is insufficient to represent the high school student population as a whole, additional research should be conducted.
The Dynamics of Social, Economic, and Cultural Changes and the Role of Institutions in Supporting Agribusiness Development in The Oil Palm Plantation Area
Authors: Sarty Syarbiah
Published: April 2024

The purpose of this research is to reveal the dynamics of social, economic, and cultural changes in agribusiness institutions in oil palm development locations. Then reveal the role of each agribusiness institution in the location of oil palm development. Using a qualitative approach to build a post-positivism approach. The research location is limited to the community (in this case farmers), consisting of independent farmers and plasma farmers. The results of the study found that there were changes in demographic patterns around oil palm plantations that other researchers had not uncovered (the findings of this study), namely social stratification, patterns of indirect (easier) interactions, and improved health status. The role of institutions in supporting agriculture is very vital in accommodating the interests of farmers. The farmer groups formed are capable of acting as learning vehicles, production units, and collaboration vehicles. In terms of increasing the capacity of farmers, extension agents also play an important role in supporting farming. Specifically, Cooperatives do not only partner, providing production, transportation, and Marketing Facilities, besides that there is risk management. Risk management covered by cooperatives is engineering business, financial, social, and legal risk management.
Optimizing Image Recognition Efficiency using Sparse Representation Learning and Transfer Learning for Resource-Constrained Environments
Authors: S. Vijayprasath
Published: April 2024

Image recognition in resource-constrained environments is crucial for mobile devices, IoT, and embedded systems. It reduces the need for internet connectivity and enhances privacy and security. Real-time processing and decision-making are critical for applications such as facial recognition, object detection, and augmented reality. This approach is efficient, making it accessible in remote areas or situations with limited internet access. Our study proposes a novel approach using a network architecture with four modules, emphasizing sparse representation learning and transfer learning to improve image recognition efficiency in resource-constrained environments. The Domain-Adaptive Feature Extractor () facilitates effective sparse representation learning by projecting data from diverse domains into a shared space. The Transferable Affine Decoder () captures affine relationships between domains to facilitate knowledge transfer, while the Cross-Domain Correspondence Network () enforces pixel-level correspondence to extract shared intrinsic representations. The Efficient Classifier Network () enhances classification accuracy using efficient CNNs. The baseline model achieved an accuracy of 0.89. Improved Model 1, leveraging transfer learning, attained 0.92 accuracy, while Improved Model 2 with the Cross-Domain Correspondence Network reached 0.91. The Final Model, amalgamating all methodologies, excelled with the highest accuracy of 0.94. This holistic approach optimizes resource usage and enables real-time processing, thus empowering a diverse array of applications in resource-limited environments.
Virtual Power Plant and Microgrid Control Integration for Campus Environments with Wind Solar Pumped Hydro and Biomass Energy
Authors: Mainuddin Shirbadagi
Published: April 2024

This paper provides a comprehensive exploration of integrating renewable energy sources, focusing on wind, solar, Pumped Hydro and biogas, into power systems. Virtual Power Plants (VPPs) with an Energy Management System (EMS) offer a promising solution for managing these distributed resources. The VPP model, utilizing mixed integer linear programming (MILP) in GAMS and solved with CPLEX, optimizes net daily profit within a 24-hour interval. This approach efficiently allocates resources, maximizes profitability, and ensures stable energy supply, addressing the challenges posed by variable renewable energy outputs. The MILP model is formulated using linear equations and inequalities within GAMS, with the CPLEX solver being effective for handling large-scale linear programming tasks. The model is based on real-world data, including market variability, weather forecasts, and demand patterns, and can be optimized for better decision-making in VPP operations, ultimately maximizing profits while ensuring a stable and sustainable power supply.
U-Net Segmentation for CNN Classification to Improve the Accuracy of Automatic Prediction of Brain Tumors Using MRI Images
Authors: S. Sujatha
Published: April 2024

Among various cancers, a brain tumor is a serious one that affects the patient's brain and causes sudden death. Several clinical diagnoses of brain tumors help medical experts provide the proper treatment at the right time; earlier identification and detection of brain tumors are much less. With the increase of cancer patients, managing and diagnosing efficiently with massive data collected is complex. Diagnosing patients with a brain tumor in the earlier stages is also tricky. Medical image processing methods and computer-aided diagnosis methods proposed in earlier works have not provided a high level of accuracy in classification, but the segmentation accuracy was good. Some recent research works have focused on implementing machine learning algorithms for predicting brain tumors for a massive amount of data, where the accuracy still needs to be improved. Machine learning and deep learning algorithms are used to predict brain tumors and their types earlier. With a large amount of data available, the ML and DL models are trained efficiently to make accurate prediction models. The DL models provide better accuracy in processing and predicting medical images than ML models. Some pre-trained deep learning algorithms like VGG16, VGG19, InceptionV3, and ImageNet provide improved accuracy and less computation power to achieve the required results. This paper proposes a CNN algorithm with a VGG16 pre-trained model for detecting brain tumors with MRI images. The input images are segmented using a U-Net model, improving the prediction process's accuracy, and are classified using a CNN model with VGG16, which helps in the efficient and faster prediction of brain tumors from the MRI images. The results show that the proposed model provides better accuracy than the existing ones.
An Outlook on the Adoption of Renewable Energy Solutions at South African Beverage Manufacturers
Authors: Rozon Francois , McGregor Craig , Owen Michael
Published: April 2024

To decarbonise industry, which accounts for half of the total energy demand, renewable and sustainable energy solutions must be embraced. Not only to meet electricity requirements but, more importantly, to substitute fossil fuels used to generate process heat. This research assesses the cost-benefits of renewable and sustainable energy solutions for the South African beverage sector, representing an estimated 3020 GWh in annual energy demand, and provides a framework for the broader adoption of these technologies. For South African beverage producers, the study concludes that investments in photovoltaic and battery energy storage systems will continue to take priority, given the favourable 17–21 % Year-1 return on capital. However, given spatial and capital constraints, the judicious planning of solar thermal energy system requirements is advocated, to address the in-situ nature of process heat generation.
Differentiation of income of citizens in australia by education level and gender
Authors: Mitroshin Igor
Published: April 2024

The standard of living of citizens and the dynamics of its changes over a certain period reflect the state of the country’s economy, as well as the main socio-economic trends in the development of society. Wages and other income of the population received from employers are important indicators that reflect the standard of living of citizens. The work analyzes the income of Australian citizens in 2014-2023, received from employers, which Australian official statistics include wages, social compensation payments and compensation paid for the period of the next vacation. The analysis was carried out differentiated by level of education and gender. The results of the study revealed a difference in wages for hired labor between men and women, which is partly due to discrimination against women, as well as the presence of so-called “male” and “female” professions. However, for ten years, income inequality by gender has been declining. During the period under review, there was an increase in income for all analyzed categories, which led to a tendency for employees to switch to part-time work. In addition, the tendency of employers to hire men for positions requiring high qualifications and education level, and to hire women for positions that do not require qualifications, has been identified.
Treatment of bilateral Posterior Tibial Compartment Syndrome using a Novel Surgical Approach: A Case Report of the Posterior Approach
Authors: Li Wei , zeng Qingliang , li Yang , chen Yong , Bal Liang , zhuang Quankui
Published: April 2024

Osteofascial compartment syndrome is a serious surgical emergency that requires prompt diagnosis and treatment. It presents a challenge for surgeons due to its high disability rate and difficult management. Early fasciotomy decompression is crucial in preventing severe complications. Classic fasciotomy approaches for tibial osteofascial compartment syndrome include double-incision and single-incision techniques.This paper presents a case of a 24-year-old female with bilateral tibial posterior compartment syndrome resulting from prolonged squatting after alcohol intoxication, which is a relatively rare mechanism. We employed an innovative posterior approach to manage the patient with tibial posterior compartment syndrome. Ultimately, we successfully preserved the patient’s legs and achieved a good functional recovery.The paper reported a rare case with bilateral posterior tibial compartment syndrome resulting from squatting for 10 hours after alcohol intoxication. The patient achieved favorable outcomes in lower limb function following treatment with a new fasciotomy approach, the posterior approach.The new approach for treating posterior tibial compartment syndrome can serve as a valuable reference for surgeons.
Potencjał polskiego rolnictwa pięć lat po akcesji Polski do UE jako przesłanka jego konkurencyjności
Authors: Pawlak Karolina , Poczta Walenty
Published: April 2024

Celem artykułu jest zidentyfikowanie konkurencyjności potencjalnej (zasobowo-nakładowej) rolnictwa polskiego w warunkach integracji z UE poprzez dokonanie oceny zasobów czynników produkcji i ich nakładów oraz relacji między nimi, jak również wskazanie zmian w strukturze gospodarstw rolnych w Polsce oraz skali wytwarzania w tych gospodarstwach. Przeprowadzone analizy dowiodły, że chociaż w warunkach akcesji rolnictwo polskie osiągnęło istotny postęp produkcyjno-ekonomiczny, nadal cechuje je niska produktywność, co świadczy o jego wadliwej strukturze agrarnej i wytwórczej oraz konieczności dalszych przemian w tym zakresie.
Le giornate di Medico e Bambino 2024
Authors:   Medico e bambino
Published: April 2024

Le giornate di Medico e Bambino 2024 - raccolta abstract
Bio-oil from coconut fibers: fractionation by preparative liquid chromatography for phenols isolation
Authors: Farrapeira Rafael de Oliveira , Andrade Yasmine Braga , Conrado Nathalia Mendonça , Schneider Jaderson Kleveston , Krause Laiza Canielas , Caramão Elina Bastos
Published: April 2024

The great potential of bio-products generated from agro-industrial residues from the biomass processing, as is the case with the green coconut fibers (Cocos nucifera L. var. dwarf), makes Brazil stand out in the field of transformation of these residues, mainly due to its high biodiversity and favorable climatic conditions. In this work, residual green coconut fibers were used in the production of bio-oil by pyrolysis. The bio-oil was fractionated using preparative liquid chromatography (PLC) in silica using solvents of different polarities: hexane, hexane/toluene, toluene/dichloromethane, dichloromethane/acetone, and methanol. Bio-oil and its fractions were analyzed by gas chromatograph /quadrupole mass spectrometer (GC/qMS). The concentration of each compound was carried out by multiplying the percentage area of the corresponding peak by the mass yield of the respective fraction. PLCof bio-oil increased the number of compounds identified by about 170% compared to the original bio-oil (non-fractionated), besides allowing the isolation of nonpolar compounds (mostly hydrocarbons) from polar compounds (mainly phenols, aldehydes, and ketones). Anotheradvantage of PLC was the increase in the number of hydrocarbons identified in the fractions, as opposed to the crude bio-oil analysis. Among the major compounds, phenols can be highlighted, besides furfural derivatives and hydrocarbons, which indicates the potential use of bio-oil mainly for industrial purposes.
The Impact of Extended Studying Time in the Full-Day School Program on Students’ EFL Learning Concentration
Authors: Suwartono Tono , Ammade Salasiah , Faisal Faisal , Nurhayati Nurhayati , Saripudin Agus , Nuraeningsih Nuraeningsih , Sukirno Sukirno , Jefri Maulana
Published: April 2024

There has been a long-standing debate about the significance of extending school hours in many parts of the world. In Indonesia, an extended school time up to ten hours a day, the so-called Full-Day School (FDS), has been executed by the government for the last few years. The present study aimed to investigate the effect of the program particularly on students’ learning concentration. A survey study with the causal comparative design was adopted for this purpose. The study randomly recruited a 15-percent sample of students from two schools (one FDS and one non-FDS), while four teachers of English working at the FDS voluntarily participated in the study. Data were gathered through questionnaire and interview. A five-point Likert scale questionnaire was administered to student respondents to collect data on their learning concentration. A semi-structured interview with teachers was conducted to elicit data on their perspective on students’ learning concentration in classroom. Result of questionnaire data analysis has shown that the extended school time in FDS program brings no impact on students’ learning concentration, it has diminished students’ learning concentration instead. Teachers’ pros and cons and two-folded views of FDS program and their students’ learning concentration neither support nor oppose the program with its impact. Thus, the implementation of FDS can be considered fruitless and, therefore, not recommended. However, further studies with larger sample and that utilize observations are encouraged to see consistency of this research finding.
What a Shame! Limited Understanding of the Effects of Shame on Voice
Authors: Monti Elisa , Maxfield Lynn
Published: April 2024

Abstract: While research is emerging on how the emotional state of voice users can impact voice quality and production, the emotion of shame has been underrepresented in that research. This paper examines what research currently exists regarding shame and offers future directions for future research in this area.
A Conversation with Nadina Hassan
Authors: Treinkman Melissa
Published: April 2024

Abstract: In a video interview with Journal of Singing Associate Editor Melissa Treinkman on May 19, 2023, musical theatre performer Nadina Hassan discussed her career and her experience playing Regina George in the first national tour of Mean Girls . She described what it felt like to be a role model for young performers of color, revealed the challenges of life on tour, and expressed her appreciation for her singing teachers. A QR code is included at the end of the article which contains the link to the recorded interview with Nadina Hassan, posted on the NATS YouTube channel.
Music Reviews
Authors: Roland-Silverstein Kathleen
Published: April 2024

Abstract: This column includes reviews of a four-volume opera anthology series organized by voice type (soprano, mezzo, tenor and baritone), by American composer Jake Heggie. Also reviewed are art song settings of the poetry of Harlem Renaissance poet Langston Hughes: "Dream Variations" by American composer Mark Carlson, and "Three Dream Portraits and Three Original Songs" by Margaret Bonds; the latter appears in an edition by scholar Louise Toppin.
WORLD LITERARY STUDIES AS A FIELD OF SCIENTIFIC KNOWLEDGE: TRADITIONS AND TRENDS
Authors: Ананьева S.V.
Published: April 2024

Literature and art are continuously in search of new means of expression, and communication. In the process of renewal, artistic culture acquires new aesthetic principles, an artistic fusion of the objective and the subjective. The idea of a work in a realistic narrative sounds gradually, naturally. The plot develops around a fact that reveals the meaning of the work. The aesthetic assimilation of reality proceeds in several directions, in different genres of prose and poetry, drama and journalism, in a diverse creative manner, which is unique for each author of a work of art. The relevance of this article lies in the fact that it traces the evolution of the basic concepts of world literary criticism, which has its own scientific principles, systems of methods and terminology. Literary criticism and critical thought create a special associative field, confirming the importance of the transition in the literary process from ideology to issues of personal existence. Domestic and world literary studies are included in the research field of the humanities, but there are frequent attempts to absorb them into intensively developing interdisciplinary research. The scientific novelty of this research is seen in the generalization of the theoretical views on modern world literary criticism of major literary scholars and critics in Europe, the USA, the CIS countries, authors of sections of collective monographs of the Auezov Institute of Literature and Art «The latest foreign literature», «The world literary process of the 21st century», «Kazakh-American literary connections: current state and prospects», the textbook «The world literary process: content, directions, trends». The basis for the research is the scientific concepts of literary text analysis, theories of critical discourse analysis of literary works, existential criticism and others. Based on the analysis, review of the current state of the leading theoretical schools of world literary criticism (with cultural studies, literary criticism, structural poetics, the concept of semiosphere, theory of cultural transfer and others). It has been established that the science of literature has its own object of study, a special essence, which distinguishes it from the exact and natural sciences.
БҰҚАР ЖЫРАУ ТОЛҒАУЛАРЫНДАҒЫ СИНКРЕТТІЛІКТІҢ КӨРІНІСІ
Authors: Жалелов Д.С. , Алимбаев А.Е. , Мирзахметов А.А.
Published: April 2024

Мақалада авторлық ауыз әдебиеттің көрнекті өкілі Бұқар жырау Қалқаманұлы поэзиясындағы синкреттіліктің көріну сипаты қарастырылады. Жырау шығармашылығындағы көтерілген түрлі мәселелер ғылыми тұрғыдан тақырып аясында талданады. Бұқардың болмысына сіңген кеңесші, болашақты болжаушы, нұсқау беруші, татуластырушы, тарихи оқиғаларды жеткізуші, өмір мәнін түсіндірудегі шеберлігі және хан мен халық арасын байланыстырушы сынды қасиеттер синкретті өнердің бөліктері саналып, толғауларымен сабақтастыра зерделенеді. Синкретті өнер ұғымын ашуда жырау бойындағы қасиеттер негізге алынады. Бұқар шығармашылығы бізден бұрында көп зерттелді, жан-жақты талданды. Ал жыраулық өнер қалыптастыруда Бұқар толғауларының ішінен синкреттілік ұғымына сиятын қасиет пен құндылықтарды қалқып алып оқырманға жеткізу – зерттеу мақаламыздың жаңашылдығын көрсетеді. Жыраулар синкретті өнер қалыптастырды. Бұқар жырау қалыптасқан өнердің ең бір беделді тұлғасына айналды. Синкреттілік дегенімізді жыраулық өнерге қатысты етіп, мәнін ашатын болса – бір жыраудың бойында бірнеше қасиеттің болуы. Жауынгерлігі мен кеңесшілігі, болжампаздығы мен өмір мәнін түсіндірудегі қайраткерлігі, импровизаторлығы мен әділдігі сынды ұғымдар жыраулық өнерді синкретті өнерге айналдырды. Мақала ғылыми тұрғыдан талданып, зерттеушілердің пікірлері негізге алынады. Бұқар жырау шығармашылығындағы синкреттілікті анықтауда мысал ретінде алынған толғауларының тарихы түсіндіріліп,  тұжырым жасалынады.
MUSICAL ENVIRONMENT IN THE CONDITIONS OF INDUSTRIAL URBANIZATION OF KAZAKHSTAN
Authors: Bekmagambetova Zh.A. , Begalinova G.A.
Published: April 2024

The article is devoted to the processes of urbanization and expansion of the media space in the country, which every year give a significant impact to changing the organization and perception of Art. Culture in the new historical reality, has unlimited access to a variety of styles, genres, interpretations and manipulations with original sounds, which has never before been considered common place. These processes push aside previously available ways of perceiving art, thereby influencing the depth of meaning and perception of modern musical phenomena. The purpose of the study is to draw attention to the social and scientific need for studying types of communication activities in developed and developing countries, determined by the sociocultural situation and improving the standard of living of a person. Every act of contact between a recipient and an object of Art is unique, inimitable and individual. All over the world, the art of music - is no idea of ​​artistic influence and its manifestation in the structure of everyday life. From the point of view of musicology, responding to the relevance, issues of audiovisual distribution are a multidisciplinary problem, properly studied only in Western European and American culture. Summarizing the materials of the article, we can come to the conclusion that the industrial-urban form of life at the present stage of the domestic music industry is associated with a breakthrough in the field of mass communications and digital media, which entails certain changes in the spiritual space of a person.
Decisions in 67 symmetric 2x2 one-shot games
Authors: Meister Melanie , Caplazi Severina , Ullrich Johannes , Villiger Daniel , Krueger Joachim
Published: April 2024

This dataset includes the decisions of N = 428 participants regarding the 67 symmetric 2×2 one-shot games presented by Villiger et al. (2022) as well as information about participants’ Social Value Orientation and Honesty-Humility. Additional documentation is available in the codebook presented below.
Sorvete enriquecido com doses de hidrolisado de carne mecanicamente separada de tilápia: análises físico-química, microbiológica e sensorial
Authors: Silva Ana Maria da , Corrêia Arlindo Fabrício , Feiden Aldi , Feiden Armin , Macedo Humberto Rodrigues , Werneck Pedro Rondon , Boscolo Wilson Rogério
Published: April 2024

A inclusão de proteínas hidrolisadas de tilápias em sorvetes pode ser uma alternativa de valor proteico para consumidores que necessitam de maior ingestão de proteínas, como no caso de desnutrição em crianças e idosos, ou em casos de doenças. O objetivo deste trabalho foi analisar a inclusão de 4 doses de hidrolisado de Carne Mecanicamente Separada – CMS de tilápia em sorvetes e uma dose controle sem adição de hidrolisado. Neste sentido foram realizadas análise físico-químicas e microbiológicas de amostras de sorvetes com diferentes adições de hidrolisados. Também foi realizado uma análise sensorial e teste de aceitação e compra por 64 avaliadores voluntários não treinados. A análise microbiológica demonstrou segurança alimentar para as amostras de sorvete. As análises físico-químicas indicaram que a adição de hidrolisado obteve efeito linear crescente para os teores de proteína e decrescente para umidade e lipídeos, sendo obtido uma média de 16,13% de proteína no sorvete com adição de 20% de hidrolisado proteico de CMS de tilápia. Os valores de Resíduo Mineral Fixo – RMF não obtiveram diferença estatística entre as amostras de sorvetes. Os sorvetes com adição de 15 e 20% de hidrolisado obtiveram excelentes médias de avaliações no teste de aceitação e compra. Com base nos resultados deste estudo, foi possível concluir que, o desenvolvimento de sorvetes utilizando com adições de proteínas de hidrolisado à base de pescados pode se tornar um alimento para consumidores que necessitam de maior ingestão de proteínas.
Construction of China's Common Prosperity Index: an empirical analysis based on AHP-DEMATEL method
Authors: Wang Dingyu
Published: April 2024

Common prosperity is the essential requirement of socialism and common aspiration of the people. At present, the problem of unbalanced and insufficient development is still prominent in China, and the gap between urban and rural areas in terms of development and income distribution is large. As China embarks on a new journey to fully build a modern socialist country, there is a long way to go in realizing the common prosperity of all the people. Therefore, it is particularly important to study the statistical measurement of China's common prosperity index. This paper selects the measurement method of China's common prosperity index as the research object, constructs the index evaluation system of China's common prosperity index from three dimensions of development, sharing and sustainability, adopts AHP-DEMATEL method, dimensionless processing and negative index processing to build the common prosperity index measurement model, and uses SPSSPRO, SPSSAU and other program processing software to program and solve the model, and calculates the China Common Prosperity Index for 2019-2022. Finally, for the synthetic index, the empirical analysis was carried out, which concluded that in recent years, China has effectively achieved high-quality development with sustainable development as the main direction, but there are problems such as large differences between urban and rural areas and income distribution. This paper not only provides new ideas for the construction of China's common prosperity index evaluation system and model, but puts forward countermeasures and suggestions for the development of common prosperity, which has certain reference value.
Improving Data Aggregation Performance in Wireless Sensor Networks using Software-Defined Networks
Authors:   Electronic and Control Engineering Department, Technical Engineering College / Kirkuk (TECK), Northern Technical University (NTU), Kirkuk, Iraq, Marwa Marwa
Published: April 2024

In this paper, we present a novel methodology to improve the performance of collection operations in wireless sensor networks by the application of software-defined networking technology on (SD WISE) platform. The conditions for selecting the grouped nodes in the controller were determined by adjusting the weights of the (Dijekstra) algorithm. The grouped nodes that include the node were determined based on the paths chosen by the algorithm. The SDN-WISE platform supports reading the payload of the packet and not just the header, in addition to the possibility of dealing with a packet depending on another packet, and the flexibility to modify the routing tables to achieve the appropriate rules for the proposed aggregation algorithm. The results show a significant reduction in the energy consumed after applying the novel suggested algorithm.
Der Bauer, l paur e il contadino. Germanismi e imprestiti lessicali in ladino gardenese
Authors: Forni Marco
Published: April 2024

In the past, a contadino, “farmer”, was someone who lived in the contado, “countryside”, i.e. the area around cities, as opposed to a citizen. Nowadays, however, it is the person who cultivates the land, who practices agriculture. In the Ladin language, the German form is in widespread use, with a Tyrolean influence. The word is paur from Bauer. The Ladin peasant, although subject to feudal or eccle­siastical structures essentially beyond the borders of Ladin territories, lived an autonomous working life for centuries. A significant part of the Italian le­xi­con is constituted by words of Germanic origin. The Ladin varieties from the Sella area also share a considerable amount of Germanic vocabulary, alongside a high proportion of lexicon of Latin and Italian origin. The Bavarian and then Tyrolean-Bavarian influence partly integrated the Ladin lexicon. However, still in the 19th century, people from Val Gardena, despite being neighbours of German speakers, spoke basically only Ladin. The most substantial source of Germanisms were (and in part continue to be for Ladin of Val Gardena and Val Badia) the German varieties: from ancient Bavarian, to Tyrolean dialects, to literary German, particularly in its Austrian-Tyrolean variant. Various Germanisms have spread with the intensification of tourist, cultural, political and media exchanges, which have promoted greater knowledge of the German world.
Die Reise der Madrisa
Authors: Kindl Ulrike
Published: April 2024

When the glottologist Graziadio Isaia Ascoli proved the close relationship of the favelle in the Alpine Romance language islands of Grisons, Sella-Ladinia and Friuli in his famous Saggi ladini (1873), he presumed the existence of a formerly unified, closed linguistic area as the common matrix of the now isolated fragmented languages. Tracing this ancient linguistic landscape across the Alpine arc, the article attempts to show a parallel development of Rhaeto-Romanic-Ladin narrative culture, whose astonishing depth of tradition still raises many questions.Using the example of the narrative motif ATU 400 (= “otherwordly as a bride”), which is widespread throughout Europe and documented in many variants, it can be deduced that within the framework of this common sequence, local expressions, which point to common origins, have been preserved in the Rhaeto-­Romance-Ladin traditional area, and only there. The peculiarity of the Canzun de Sontga Margriata collected in Graubünden, as well as the old song of the rejected Vivana preserved in Val di Fassa (TN) can be classified within ATU 400, but can only be interpreted within a tradition formerly shared by all. How the capacity for memory could have functioned concretely over centuries can only be guessed. The creation of a specific song material, of which only a few fragments have been preserved, probably played a significant role.
The Banking Stock Performance Singapore vs. Hong Kong
Authors: Xu Jingxian , Huang Zixia , Jiang Tongjia
Published: April 2024

In this paper, our group evaluates and compares the resilience of Hong Kong and Singapores banking stocks using the Event Study Methodology. We have accomplished this by studying the impact of three events which are the 2008 Financial Crisis, the COVID-19 pandemic, and the Russia-Ukraine War on Hong Kong and Singapores banking stocks. We choose the leading stocks in Hong Kong and Singapore, HSBC, and DBS respectively, and derive our expected return by constructing a linear regression model between the banking stock returns and the market returns. We then subtract the Expected Return from the Actual Return to find the Abnormal Return. After that, we use a confidence interval to test and compare the significance of the Cumulative Abnormal Return between HSBC and DBS. From our results, our group concludes that although Hong Kongs banking stock performed better in the early days, Singapores banking stock has grown to be more resilient.
Dilemas e peculiaridades da psicologia no Centro de Referência da Assistência Social
Authors: Alves Caetano Solon Avrairan Fabrícia , Fernandes de Oliveira Isabel , Sales de Sousa Burnier , Almeida Mônica Rafaela de
Published: April 2024

A inserção da Psicologia na Política Nacional de Assistência Social é recente e tem demandado novos saberes e fazeres. Assim, este trabalho tem como objetivo analisar as peculiaridades da inserção da Psicologia no Centro de Referência da Assistência Social (CRAS). Para tanto, realizou-se um estudo exploratório com dez psicólogas vinculadas aos CRAS do Município de Natal/RN. Os resultados indicaram que o CRAS propiciou um novo escopo de práticas para o campo da Psicologia, por meio de um trabalho de caráter psicossocial, uma atuação interdisciplinar e uma maior aproximação comunitária, embora ainda permaneçam os desafios no que tange a demarcação da sua atuação no campo social. Portanto, se torna imprescindível propor uma prática que assegure os direitos sociais dos usuários e um olhar crítico no trabalho cotidiano, transformando os dilemas em pautas de lutas junto com trabalhadores e usuários do Sistema Único de Assistência Social.
Movilidad humana y migración laboral en América Latina y el Caribe movimientos, tendencias y desafíos de gobernanza
Authors:   ILO Regional Office for Latin America and the Caribbean,
Published: April 2024

Los corredores migratorios en América Latina y el Caribe han cambiado recientemente,
principalmente impulsados por motivos laborales, pero también influidos por otros
factores. La población migrante desempeña un rol trascendental en las economías y
los mercados laborales de los países de acogida. Según datos de la OIT (2021), las
personas trabajadoras migrantes constituyen el 4,9 por ciento de la fuerza de trabajo
mundial, lo que equivale a 169 millones de personas trabajadoras. La región alberga
el 3,5 por ciento del total de personas trabajadoras migrantes del mundo, que se vinculan
especialmente a la fuerza de trabajo en los sectores de servicios, construcción y
agricultura, entre otros. Estas ocupaciones suelen contar con altos niveles de informalidad,
bajos niveles de protección social y bajos salarios, lo cual afecta de manera diferenciada
a cada persona según sus características personales.El llamado de la OIT ante esta
situación ha sido hacia la promoción del trabajo decente y la protección de los derechos
laborales como pilar de acción que engloba la oportunidad de acceder a un empleo productivo
con un ingreso justo, que permita gozar de seguridad y libertad en el lugar de trabajo,
de protección social, así como en general de mejores perspectivas de desarrollo personal
e integración social con igualdad de oportunidades y trato (OIT, s. f.a). Este desafío
es igual de importante para las personas nacionales y las migrantes, aunque teniendo
en cuenta que las personas migrantes suelen ser más vulnerables ante atropellos de
derechos en el trabajo.