bluuebunny/crossref_metadata_2025 huggingface dataset:
An Exploration of Predictors of English Scores in an Admission Examination: Research Notes from the Turkish Context
Authors: Akın Metli
Published: April 2024

This study aimed to identify the predictors of the short answer scores in the English component of a private high school entrance exam. A purposive of 390 high school students were drawn from the student body who took the admission exam of a private co-educational high school implementing two international programs (International General Certificate of Secondary Education and International Baccalaureate Diploma Program) along with the Ministry of National Education (MoNE) program. Multiple linear regression was used to identify the predictors of English scores in the school admission examination. A statistically significant and moderate relationship was found between the scores in English and Mathematics scores in this admission exam conducted in a school located in eastern Turkey. The study is significant as it was conducted in a Turkish context using an admission assessment test for the first time. The findings yield important implications for practice for educators, practitioners, and curriculum policymakers.
Enhancing Parkinson’s Disease Prediction Using Deep Learning-Based Convolutional Neural Networks
Authors: Ramya. R
Published: April 2024

Recently significant advances in the field of medical diagnostics can be seen. Nonetheless, diagnosing Parkinson's disease (PD) remains difficult, especially in terms of timeliness and precision. The inability of present technological methods to identify this complicated neurodegenerative disease emphasizes the urgent need for more research. PD is a complicated neurological condition that is becoming more commonplace worldwide. A timely and precise PD diagnosis is critical because it directly determines the quality of patient care and the success of treatment. However, our current diagnostic approaches, which primarily rely on clinical assessments, have substantial limits in terms of sensitivity and specificity. Thus, the need for a more reliable and objective diagnosing procedure is essential. Convolutional neural networks (CNNs) are employed in this study to investigate complex spiral and wave patterns and to overcome this significant challenge. Drawings from both PD patients and their healthy counterparts were included in the large dataset that was used to train the robust CNN model, which is a key component of the research technique. The training and intensive testing of the model on this dataset confirms its capacity to distinguish between PD instances and non-PD cases. The results of this investigation demonstrate how well the CNN model can predict Parkinson's disease (PD) based on spiral and wave patterns, with a 93% classification accuracy. The high sensitivity and specificity of the model are especially impressive because they significantly lower the chances of false positives and false negatives. The discussion that follows offers a considered evaluation of these findings, emphasising the model's potential for early diagnosis, its capacity to support professional judgments, and its crucial role in enhancing patient outcomes. This study highlights the great potential of deep learning methods for disease diagnosis, especially for PD. The effective integration of the CNN model into a React application for real-time prediction and continuous monitoring of patient performance has important implications for telemedicine and remote healthcare management. This breakthrough makes Parkinson's disease treatment more approachable and proactive.
Cox Regressive Outlier Robust Incremental Extreme Learning Machine based IoT aware Smart Car Parking and Route Optimization for Intelligent Transportation
Authors: V. Subapriya
Published: April 2024

An Intelligent Transport System (ITS) is a wide-ranging framework that influences advanced technologies to improve efficiency of transportation networks.  An ITS integrated with an IoT enhances the capabilities of transportation networks.  Owing to quick development of vehicles, traffic congestion during road network is major problems. Therefore, intelligent traffic control system is required to create smart transportation through optimization of vehicle route, and so on. In this paper, Cox Regressive Fuzzified Outlier Robust Incremental Extreme Learning Machine (CRFORIELM) is developed for smart ITS. The IoT technology in IT’S is used to collect traffic data, vehicle information, Parking slot occupancy data. After data collection process, proposed CRFORIELM technique includes two major processing steps namely parking slot availability detection and traffic aware route optimization. The extreme learning machine includes three types of layers such as input, three hidden layers as well as output layer. Initial hidden layer predicts the parking slot availability using Cox regression is performed. With the parking lot availability predictions, integrate this information into a route optimization algorithm. This algorithm considers the real-time traffic conditions as well as parking availability for detecting optimal route by applying fuzzy triangular membership function in the second hidden layer. Finally, nearest route path is effectively determined to minimize travel time in intelligent transport system.  Experimental analysis indicates that the CRFORIELM technique achieved 2%, 5%, 10% improvement in accuracy, sensitivity, specificity and reduced error rates, route detection time by 39%, and 36%, compared to existing methods.
Fault diagnosis in high-speed computing systems using big data analytics integrated evolutionary computing on the Internet of Everything platform
Authors: P.Jothi
Published: April 2024

The significance of high-speed computing systems is paramount for diverse applications. However, their intricate structure and rigorous operational prerequisites render them susceptible to malfunctions. The conventional fault diagnosis models need help managing the copious data produced by these systems, resulting in diagnostic procedures that are both time-consuming and ineffective. The research proposed an Internet of Everything (IoE) platform and big data analytics (BDA) based Fault Diagnosis System (IBFDS) in conjunction with evolutionary computing techniques. The system integrates a hybrid intelligent algorithm that amalgamates the advantages of evolutionary computing and machine learning to enhance the precision and effectiveness of fault diagnosis. The utilization of big data analysis methodologies facilitates the processing and examination of vast quantities of system data, thereby enabling the comprehensive detection and identification of faults. Furthermore, cloud services based on the IoE allow data storage, administration, and instantaneous cooperation among various parties involved.

Furthermore, a detection technique utilizing a Reduced Boltzmann Machine (RBoM) improves the precision of fault diagnosis. The efficacy of the proposed IBFDS was demonstrated through experimental evaluation using a high-speed computing system dataset. The results obtained were impressive, with a fault detection rate (94.11%), fault identification accuracy (93.76%), fault localization accuracy (93.71%), false positive rate (1.54%), and false negative rate (0.98%). The findings of this study make a valuable contribution to the advancement of fault diagnosis systems that are resilient and effective for high-speed computing systems. This facilitates proactive maintenance, enhances system reliability, and optimizes system performance.
Design of a Predictor Model for Feature Selection using Machine Learning Approaches
Authors: P. Pradeep
Published: April 2024

Parkinson’s disease is a neural degenerative disease where patients’ faces various critical neurological disorders. Thus, the earlier prediction of PD helps to enhance the patients’ life. The prediction of PD in earlier stage is complex and it consumes huge time. Therefore, effectual and appropriate prediction of PD is measured to a challenging factor for the health care experts and practitioners. To deal with this issue and to accurately predict the PD in earlier stage, this work concentrates on machine learning approaches for designing a predictor system. For developing the anticipated model, L1-norm based Genetic algorithm (L1-GA) is applied for predicting PD in the earlier stage. This L1-GA is utilized for selecting the influencing features for accurate prediction. This L1-GA produces newer feature subset from UCI Machine Learning  (ML) dataset for PD for measuring feature weights. For validation , this work considers k-fold cross validation (CV) is used. Also, metrics like accuracy, error rate and execution time are evaluated. The inputs are taken from The PD dataset which is available online for preceding the feature selection process. The optimal accuracy attained with these newly selected sub-sets are considered for further computation. The simulation is performed in Python environment and the experimental findings determine that this study recommends that L1-GA provides better contribution towards PD feature selection and to predict PD in earlier stage. In recent times, Clinical Decision Support System (CDSS) plays an essential role for assisting PD recognition. As well, the anticipated model lays a bridge to fill the gap encountered in feature selection using the available data. The anticipated model gives better trade-off in contrast to prevailing approaches.
A Novel Optimization Approach for Revolutionizing Architectural Design in Chinese Cultural Heritage
Authors: Li Xueyong
Published: April 2024

Chinese cultural heritage architecture, a blend of traditional and modern construction methods, showcases the country's technological, artistic, and cultural advancements, yet its preservation faces challenges due to structural decay and aesthetic degeneration. Using Microtrans Maryland 4-1000, Dazu Rock Carvings, Nanchan Temple and Foguang Temple smokescreen were captured; surface images and ground photos were captured with smokescreen resolution of 5192 x 4153 pixels. The goal of the research is to use an Ensemble Ant Colony Fused Convolutional Capsule Neural Network (EAC-CCNN) to enhance fault analysis in Chinese cultural heritage structures images, then the combination of Augmented Reality (AR), and Building Information Modeling (BIM) to enhance the designing model for the safety management and decision making. The process entails gathering and annotating a variety of information, creating a hybrid EAC-CCNN model to investigate the architectural building's problem, training it, integrating it with BIM, doing on-site inspections, and utilizing AR-enhanced BIM models to analyze the flaws found. The findings demonstrate how this integrated method improves the precision of flaw diagnosis, fosters teamwork, and aids in the upkeep and preservation of cultural heritage assets. Metrics including accuracy and F1 score are used to evaluate the machine learning model recognizes and categorizes flaws in Chinese cultural heritage architecture. The defect identifying and safety management model of architectural designing outcome of the accuracy is 93.29% and F1 Score is 95.47%. During the training, validation, and testing phases, performance is evaluated by project goals. With the help of this method, machine learning models can be trained to identify patterns, identify flaws, and generate well-informed predictions in a variety of circumstances.
Design and Pricing Analysis of Electricity Retail Package System Based on Single Pendulum Equation
Authors: Yang Tang
Published: April 2024

The electricity retail industry is becoming increasingly competitive, and retailers are looking for innovative ways to attract and retain customers. One potential strategy is to offer retail packages that include electricity pricing based on the single pendulum equation (SPE). This article discusses the design of a retail package system for electricity retailers based on the SPE. The system utilizes real-time data on electricity supply and demand to create a dynamic pricing system that adjusts prices based on changes in the market. This article present the single pendulum equation model and data obtained from Residential Electricity End-use Demand Dataset of Costa Rica (REEDD-CR). It outlines the key steps in designing the system, including gathering data on electricity supply and demand patterns, creating a pricing algorithm based on the single pendulum equation, and integrating the system with billing and customer management systems. The article also emphasizes the importance of considering customer preferences and behavior in the design of the system. The study findings stated that single pendulum model has provided an evaluation time of 1.5s and price and demand value of 0.6.  A well-designed dynamic pricing system based on the single pendulum equation has the potential to provide customers with cost savings and increased flexibility while allowing retailers to optimize their pricing strategies in a competitive market.
Evaluation of Multimedia Teaching Platform for Piano Accompainment Using Logic Pro
Authors: Yuting Dong
Published: April 2024

The role of education in a country's progress is crucial. It ensures the intellectual and human resources a country needs to grow. There has been a growing consensus in China that gaining a thorough understanding of advanced foreign theories and effective teaching is crucial to keeping up with the country's rapid advancement and growth of its higher education system and the continuous intensifying and improved performance of the reform of education and teaching activities. College and university music programs often include piano teaching (PT) as a required curriculum component. As a result, the job it does in the classroom is crucial to developing modern musical literacy and understanding.. This article shows how to regulate the classroom tempo by utilizing multimedia instructional tools, how to pique students' interest in learning, and how to use multimedia tools to improve the quality of piano instruction. We used a logic programming system to design a piano teaching platform.it is used to analyze the knowledge of piano learners and manipulate their interference. By gathering user behavior from different Internet distribution platforms and evaluating the feature vector by the function space created by the pertinent evaluation metrics, the analysis system is also utilized to assess some instructional techniques' online public thought assessment. The system's accuracy is 96%, indicating a successful teaching assessment. The system's value evaluation paradigm makes it possible to comprehend user behaviors precisely and apply them to other disciplines.
Analysis of Feature Extraction Model for Machine Korean Translation Judging System
Authors: Piao Yidan
Published: April 2024

Language translation is becoming increasingly widespread and diversified as internationalization and information technology advance significantly. Nonetheless, there are cultural variations across different nations, and there will unavoidably be some variations brought on by translation software. While the machine translation system has attained a high level of development, the issues with the older machine translation methods still remain and cannot be fully resolved. The efficiency of Korean-Chinese translation must thus be improved by creating a more effective model for converting translation information. This has significant implications for the development of international relationships, commercial interactions, cultural development, and commerce between China and South Korea. The translation is the rendering of words into other languages so that they may be understood by both individuals. Nevertheless, there are several flaws and inconsistencies in the present Korean-to-Chinese translational information processing method. Thus, this study suggests a Diverse Deep Embedding Data Accumulation (DDEDA) algorithm for the translation framework. We utilized the Korean-Chinese corpus dataset for the research. Utilizing translation accuracy, precision, recall, error rate, and translation time, the performance of the suggested approach was examined and compared with previously employed methodologies. The findings demonstrate that the proposed method has taken 43s for translation.
Design of an Iterative Method for Hybrid Device-to-Device and Network Integration via Dynamic Spectrum Sharing and Intelligent Resource Management
Authors: Ashish Bajpai
Published: April 2024

In the evolving landscape of wireless communication, the integration of Device-to-Device (D2D) communication within traditional network infrastructures emerges as a pivotal solution to meet the burgeoning demand for efficient, scalable, and reliable communication. Despite the promise of D2D to augment network capabilities, existing frameworks often falter in optimizing resource utilization, ensuring privacy and security, and maintaining high-quality service amidst dynamic network conditions and escalating data traffic. Addressing these limitations, this work introduces a comprehensive hybrid model that synergizes D2D communication with network integration through the innovative application of Dynamic Spectrum Sharing (DSS), Reinforcement Learning (RL)-based Resource Allocation, Mobile Edge Computing (MEC), Differential Privacy Techniques, Swarm Intelligence-based Routing, Cognitive Radio Networks, Self-Healing Network Protocols, and Low-Power Communication Protocols. DSS is employed to dynamically allocate spectrum, enhancing communication flexibility between D2D and network modes. RL algorithms adaptively manage resources, optimizing network performance in real-time scenarios. MEC decentralizes data processing, slashing latency and bandwidth demands. Differential privacy fortifies data security within D2D interactions in different communication scenarios. Swarm intelligence and cognitive radios bolster network resilience and spectral efficiency through self-organized routing and adaptive spectrum access. Self-healing protocols and energy-efficient designs ensure robust, sustainable network operations. The proposed model markedly elevates network efficiency, slashes latency, and augments scalability by intelligently offloading traffic, distributing computing tasks, and preserving user privacy. Its implementation fosters a resilient, self-organizing network fabric capable of meeting contemporary demands. The impacts of this work are profound, offering a blueprint for next-generation wireless networks that are more adaptive, secure, and sustainable, thereby significantly enhancing user experience and trust in D2D communication systems.
TÜRKİYE İLAÇ ÜRETİMİ YAN SANAYİSİNİN YERLİLEŞTİRİLMESİ, EKONOMİK VE STRATEJİK ETKİLERİ; BİR YOL HARİTASI
Authors: Börü Murat
Published: April 2024

Türkiye ilaç endüstrisi büyümekte ve üretimi her geçen yıl artmaktadır. Türkiye ilaç endüstrisindeki üretimin
artış hızına mukabil ihtiyaç duyulan yan sanayinin yerli olarak gelişim hızı aynı değildir. İlaç üretimi yan
sanayisinin ithalatı hammadde, makine-ekipman ve sarflar dahil yıllık 1 milyar USD üzerindedir. 15 yıl önce
küçük adımlarla başlayan yerlileşme çabaları, yurtdışındaki üreticilerin fiyatları sürekli artırması ve Covid 19
salgını dönemindeki ürün bulma ve ithal etme zorluklarının ortaya çıkmasıyla son zamanda ivme
kazanmıştır. Bu çalışmada, ilaç üretimi yan sanayisinin büyük ölçüde yerlileşme olasılığı hipotezi üzerinden,
Türkiye’deki ilaç üretimi yan sanayisinin SWOT analizi yapılarak, yerlileşmenin sağlanması yönünde kısa ve
uzun dönemli bir analiz ortaya konulmuş; üç, beş ve on yıllık planlar dahilinde önerilen stratejiler
doğrultusunda hem Türkiye’nin ihtiyaçlarını karşılayan hem de önemli miktarda ihracat yapan bir ilaç üretimi
yan sanayisinin mümkün olabileceği öngörülmüştür.
THE CONCEPTUAL SKILLS STRENGTH OF THE HEAD OF MADRASA LEADERSHIP IN MANAGING EDUCATION UNITS
Authors: Herman Herman , Hasnadi Hasnadi , Sy Rohana Sy Rohana , Kasman Adi , Azhari Muhammad
Published: April 2024

The success of implementing educational programs will be easier when supported by the conceptual skills of the principal who is reliable in managing educational units. The purpose of the study was to analyze and describe the conceptual skills in managing quality education units at MAS Alue Tampak West Aceh, Indonesia. This article uses a descriptive qualitative analysis approach. Research subjects were determined by purposive sampling. Methods of collecting data were carried out through observation, interviews, and study of the work program. Data processing techniques were conducted by means of data verification, data presentation, data reduction and drawing conclusions. The findings are analyzed by reflecting, interpreting, looking for implications and action plans on the research results. The results of the study indicate that the principal conceptual skills need to be optimized. The conceptual skills are still categorized as weak in several activities, namely; first, in formulating and establishing strategic education plans, educational operational plans and educational administration standards. Second, in coordinating and integrating educational programs and activities, Third, in innovating towards improving and escalating as well as monitoring and evaluating the quality of education units management. Meanwhile, in terms of building a harmonious and solid teamwork, it is categorized as good.
Reading educational texts in Bulgarian language classes in secondary school (Methodological and technological aspects)
Authors: Petrov Angel
Published: April 2024

The article presents ideas for reading educational texts in the Bulgarian language classes in junior high school and in both high school stages of secondary school. The types of texts read in an educational environment are reviewed from different point of view – as means of learning and as tools for achieving educational effects on the learners. The place of reading processes among the elements of the methodical paradigm is sought, more specifically in the methodical principles of teaching the Bulgarian language.
Using Semi-Occluded Vocal Tract Exercises as a Vocal Tract "Reset"
Authors: Manternach Brian
Published: April 2024

Abstract: For decades, the benefits of semi-occluded vocal tract exercises (SOVTEs) in voice training and rehabilitation have been extolled, most especially how SOVTEs impact phonation. However, a second important, yet neglected aspect of SOVTEs identified in numerous research studies is how they affect the shape of the vocal tract. This article highlights how SOVTEs can passively expand the airway, alleviating unintended constrictions, freeing singers from attempting to "open the throat" through direct muscular activation. This expansion can serve as a vocal tract "reset," allowing singers to selectively shape the vocal tract, facilitatating the wide-narrow contrasts needed for singing in a variety of musical genres.
Recent Research in Singing
Authors: Simonson Donald
Published: April 2024

Abstract: This "Recent Research in Singing" article chronicles three academic documents authored during 2023. Ester Bertain's MFA thesis "Overwhelming Prevalence of Music Performance Anxiety in Conservatory Musical Theatre Singers," and dissertations by Matthew Clegg, "A Singer's Guide to Gwyneth Walker's Songs from the High Sierra" and Tingyu Yan, "A Guide to Chinese Art Songs from 1970 to 2010" are covered. Each includes a complete citation and an abstract.
ФУНКЦИЯ РЕЛИГИОЗНО-МИФОЛОГИЧЕСКИХ ОБРАЗОВ В ПРОЗЕ ОЛЬГИ МАРК
Authors: Жасекенова А.М. , Жаксылыков А.Ж. , Таттимбетова К.О.
Published: April 2024

Данная статья посвящена выявлению роли религиозно-мифологических образов в прозе Ольги Марк. Автор статьи  анализирует  рассказы «Привидение», «Александрия», «Плен вечности», «Закрытая планета», «Разум», «Письмо. Невыносимость», «Кольца времени», в которых выделяет отдельные образы, относящиеся к сфере религиозно-мифологического сознания автора. Следует отметить, что религиозно-мифологические образы в прозе Ольги Марк выполняют не только важную эстетическую функцию. Они способствуют появлению в текстах значимых аллюзий, связывая системой мотивов сюжеты произведений между собой в единый цикл. Во многих произведениях писательницы мы встречаем  упоминания библейско-мифологических персонажей, таких как Адам и Ева, Афродита и Аполлон, Иисус и Мария. Эти образы  приобретают значение символов любви, смерти, веры и судьбы. Религиозно-мифологические образы в прозе Ольги Марк служат средством выражения идеологических и философских идей, позволяющих раскрыть противоречия и проблемы современного общества,  вывести на уровень зрелых обобщений размышления о природе человека и его месте в мире. Эти символические образы становятся мостами между прошлым и настоящим, между религией и наукой, между духовным и материальным мирами. Религиозно-мифологические образы в прозе Ольги Марк также несут дополнительную эстетическую нагрузку, создавая особую эмоциональность в тексте, заставляя читателя задуматься  над вопросами о смысле жизни, о вере и о неразрешимых загадках бытия. Концептуальные религиозно-мифологические образы в прозе Ольги Марк выполняют  разнообразные функции -  обогащают тексты символикой, помогают передать глубокие мысли и идеи, помогают создать определенный эмоциональный настрой. Данные элементы текста становятся отражением духовных поисков автора. Таким образом, религиозно-мифологические образы в прозе Ольги Марк играют важную роль в формировании ее  колоритного и философски окрашенного стиля. В завершении статьи автор приходит к выводу о том, что обращение к указанным темам связано с вечной темой поиска человеком счастья, а также с осмыслением роли писателя как творца художественных миров.
THE ARTISTIC IMAGE OF AUEZOV IN THE NOVEL ZEYNOLLA KABDOLOV «MY AUEZOV»
Authors: Mambetov Zh.О. , Toibazar A.M.
Published: April 2024

The article examines the image of M. Auezov depicted in the epic novel by the writer Z. Kabdolov «My Auezov». Here are the actions of persons, relationships with other people that relate to the life, everyday life of the main character of the work of Mukhtar Auezov. The variety of topics and socio-social problems rose in it; large-scale literary and theoretical possibilities in the image of the main character are clearly demonstrated by the writer, rationally and productively used by him. Z. Kabdolov tells the future generation of the Kazakh people the biography of the writer M. Auezov, who was able to rise to the top of the mind of human society, to know the history of the peoples of the world. The author of the work thereby shows the great education of M. Auezov, the special depth of his literacy. Literature itself plays an important role in the life of society, as well as in preserving values for posterity. In Z. Kabdolov's novel «My Auezov», special attention is paid to Mukhtar Auezov's approach to life and creativity. The scientist made a great contribution to the development of the life and literary heritage of the great writer by publishing serious works based on a deep analysis of his work, using literary and historical data that many had not talked about before.
«АСПАНДАҒЫ САЯХАТ» ЕРТЕГІ-ХИКАЯТЫНЫҢ ОБРАЗДАР ЖҮЙЕСІ
Authors: Ханкей E.
Published: April 2024

Мақалада балалар әдебиетіндегі образдар жүйесі туралы қысқаша шолу жасалады. Жазушы Бекен Ыбрайымның «Аспандағы саяхат» ертегі-хикаятының оқиғалық желісі мен мазмұндық құрылымы талданады. Ертегі-хикаят деп аталатын жанрлық атаудың теориялық заңдылықтарын анықтай отырып, балалардың жас ерекшелігіндегі орны сараланады. Мұнда жасөспірім, бастауыш сыныптар мен жеткіншектердің қай сатысына дейін ертегі-хикаят ғылыми тұрғыдан сай келеді? Сәйкесінше, тәжірибе жүзінде олардың ойлау ерекшеліктеріне тигізетін әдеби, мәдени, рухани аясы қаншалықты? Классикалық балалар әдебиетінің өзіндік талаптарына сай осы мәселелер жан-жақты қарастырылады. Балалар жазушысы Б.Ыбырайымның аталған ертегі-хикаятының тақырыбы мен тілдік құрылымы, ондағы оқиғалық кеңістіктер мазмұндама түрінде нақты мәтіндік мысалдармен талданып, ғылыми пікірлермен дәйектеледі. Шығармадағы кейіпкерлердің шынайылығы және өзара оқиғалық желідегі қарым-қатынастары балалардың (оқушының) өй-өрісін, танымдық жүйесін қалыптастырып дамытуға тигізген жетістіктері мен кемшіліктері талқыланады. Сондай-ақ, Бекен Ыбырайымның қазіргі балалар әдебиетіндегі көркемдік-дүниетанымдық ізденістері сараланып, ұлттық құндылықтар аясындағы сапалық ерешеліктері талданады. Жанрлық бағыттағы жаңалықтары мен жазушылық шеберлігі зерделенеді. Бұл ертегі-хикаяттың сюжеті фольклорлық шығармалардан тамыр тартатыны салыстырмалы әдіс-тәсілдері арқылы анықталады. Және де балалар әдебиетінің табиғаты ертегі жанры мен фантастикалық элементтердің тоғысуынан туындайтын әдеби сала екені сараланады.
СЦЕНИЧЕСКАЯ ИНТЕРПРЕТАЦИЯ РАССКАЗА М. АУЭЗОВА «СИРОТСКАЯ ДОЛЯ»
Authors: Акимбек А. , Исламбаева З.У. , Жумаш А.Ы.
Published: April 2024

В статье анализируется тенденция инсценировки повести М.Ауэзова «Сиротская доля» из репертуара казахских театров. В основном история создания сценической версии прозаических произведений уходит корнями в последние века. То есть тенденция создания постановки мирового уровня уже сформировалась. Творческий поиск в этом направлении оказал большое влияние на казахский театр. Основная цель включения прозаических произведений в сценическую систему – обогатить репертуар, активизировать поиск режиссера и актера. Среди них романы, повести Мухтара Ауэзова отличаются актуальностью идеи и богатым художественным языком. Режиссер А.Оразбеков, поставивший повесть писателя «Сиротская доля» в академическом драматическом театре имени К. Куанышбаева, сгруппировал символ добра и зла, распространившиеся по земле, в образ Света и Ночи. Постоянно соединяя этих двух персонажей друг с другом, человечество столкнулось с повседневными конфликтами в своей жизни, противостоянием плохого и хорошего как серьезной проблемой. В статье  подробно описывается созданный режиссером образ простых рабочих. Авторы рассматривали события режиссера и актеров в каждой сцене на конкретных примерах, используя метод многофункционального станка-тележки. Также проанализирована постановка этого произведения в Талдыкорганском театре им. Б. Римовой. Глубина мысли автора, определившего социальную ситуацию целого народа через повествование трагедии в одной семье, писательское мастерство в донесении истории произведения до читателя, не остаются незамеченными исследователями. Режиссер данного спектакля Ф. Молдагали информирует о социальном положении семьи старухи, которая видела в своей жизни много развратов и нищету. Согласно национальным традициям, такие действия как оплакивание умершего, чтение Корана, пантомимно-пластическое выражение походки персонажей проанализировано четко и дифференцировано. Изображенного в произведении М.Ауэзова лестного, трусливого, не имеющего собственного мнения Калтая, режиссер в этой постановке показал его гражданином, максимально понимающим горе бедной семьи, не потерявшим человеческого облика. В целом, авторы статьи относительно дифференцировали режиссерские решения в двух спектаклях.
Risk spillover effect between the stock markets of China and Europe
Authors: Yao Kanglei
Published: April 2024

Global integration has had a significant impact on stock markets, promoting cross-border investment and capital flows, leading to closer connections between international stock markets. In this study, the SSEC index, SCI index, FTSE 100 index , DAX 30 index, and CAC 40 index were selected as research objects. Calculating the Value at Risk (VaR) of the stock market, and subsequently obtain indicators such as  to measure the risk spillover effect of major European stock markets on the Chinese stock market.
The Impact of CPI and Unemployment Rate on Economic Growth: Based on TVP-VAR Model
Authors: Yin You
Published: April 2024

Inflation has a significant impact on economic growth and monetary policy. In recent times, the US economy is facing the threat of high inflation, and the Federal Reserve has been continuously adopting interest rate hikes, which have an impact on the economy and finance. And the relationship between inflation and unemployment rate is a trade-off, so this article studies the impact of CPI and unemployment rate on the US economy. This artic le uses the US CPI and unemployment rate from 1948 to 2009 to construct a VAR model, predicts the final ten periods, and compares them with actual values. Using US CPI, unemployment rate, and GDP data from 1948 to 2009, construct a TVP-VAR model to analyze the impact of inflation and unemployment rate on economic growth.
The Impact of Credit Rating on Pricing of Green Bond Issues - An Empirical Analysis Based on the TIC Model
Authors: Ma Teng
Published: April 2024

As an important part of green finance, green bonds have become more and more obvious in the market, and their pricing has received more and more attention. As an important factor affecting bond pricing, it is necessary to explore the impact of credit rating on the pricing of green bond issues. This paper focuses on exploring the impact of credit rating on the pricing of green bond issuance by empirically analyzing the data of some green bonds issued in 2018-2022, and finds that: the credit rating of green bonds has a significant impact on their issuance interest rate, and the higher the credit rating, the lower the financing cost of green bonds; the issuance period, the issuance scale and the whether to set up the put provision and the call provision also affect the financing cost of green bond.
Based on GSADF model - To study the impact of surging cross-border capital flows and their internal structure on economic growth
Authors: Gong Rui , Hu Longhui
Published: April 2024

This paper measures surges using the Generalized Supremum Augmented Dickey-Fuller (GSADF) model based on capital flows data for 64 economies from 2003:Q1 to 2020:Q4. Then, this paper examines the impact of surges and the internal structure (abnormal liability flows and abnormal asset flows) on economic growth in the recipient economy, and further investigate the heterogeneity among economies with different levels of economic development. This paper finds that surges can positively contribute to economic growth in the recipient economy. In terms of the internal structure of surges, overall, abnormal liability flows have a significant positive effect on economic growth, while abnormal asset flows have no significant effect. Emerging economies perform in line with the overall, while economic growth in developed economies is positively boosted by both abnormal liability flows and abnormal asset flows together. Our research has important reference value for China to prevent risks of surges and their inherent structural changes.
Ein Wörterbuch für die Bedürfnisse der Habsburgermonarchie des frühen 19. Jahrhunderts
Authors: Gärtig-Bressan Anne-Kathrin
Published: April 2024

This article deals with the Supplement-Band zu jedem italienisch-deutschen und deutsch-italienischen Wörterbuch, the supplementary volume to every ­Italian-German and German-Italian dictionary, published in Vienna in 1831 by the imperial-royal Rechnungsrath, “accountant”, Johann Ritter von Vogtberg. The ­volume was developed in the context of the Habsburg Monarchy and was an ­auxiliary tool for civil servants and tradesmen who had to solve language-mediating tasks in the field of administration, trade or navigation in the Italian territories. For them, the larger German-Italian dictionaries of the time did not provide the necessary terminology. After an introduction to the teaching of Italian and German in the historical context under analysis and an overview of the situation of the German-­Italian dictionary, the author Johann von Vogtberg is introduced. Furthermore, the most important notes on his approach are reconstructed from the preface to the supplementary volume. The conclusion is a random analysis of his four glossaries.
Die “Ladinia” und deren Herausgabe, aus meiner Sicht
Authors: Moroder Leander
Published: April 2024

After an introduction on the beginning of Moroder’s work at the Istitut Ladin and the “Ladinia”, the characteristics of the journal are described. Furthermore, the article provides a description of its development, from the time when it was edited by the first director of the Institute, to the introduction of a scientific advisory board and an editorial committee, to the current editorship. The editorial work in the past and the way in which, especially during the last phase, a well-­coordinated team developed are examined and the protagonists of the various stages are named. The conclusion offers some personal insights from the author.
Spunti di riflessione sullo sviluppo del ladino scritto nell’Ottocento. Da Micurá de Rü (1833), a Jan Matî Declara (1878) e Jan Batista Alton (1879)
Authors: Pescosta Werner
Published: April 2024

During the 19th century, the Habsburg Empire became the centre of an ­epoch-making change caused by an explosive interplay between linguistic standardisation and multilingualism, which was mediated by the populist sensibility of Romanticism and influenced, during the crucial decades, by natio­nalism, the most characterising political force, in terms of both emancipation and tyranny. This led various groups of the vast empire at the heart of Europe, majorities or minorities, to seek to distinguish themselves ethnically and linguistically in order to be liberated from previous subjugation or to strengthen themselves further, according to the “gentem lingua facit” principle that had become common since the Middle Ages. In this very broad context, in which the ethnic and linguistic groups of the Empire gradually started to compete with each other, strengthened by xenophobia and the forces of nationalism, the issue of the Ladin language began to arise from the first decades of the century, although in an unnoticed manner. Within the small linguistic community, an emerging “political” elite began to develop. Initially, it was made up of a few priests, who placed themselves at the head of a movement that could be considered autonomist and independentist, in the name of a different linguistic identity. This identity required the creation of a new standard language for the dialectal varieties of Ladin, or the choice of a dialect, promoted to language status for this purpose. The choice of the pioneers of Ladin writing mainly fell on a dialectal variety or koinè, which was to become the language of the new linguistic unity. This choice raised the “question of the language”, which has still not been definitively answered to this day. Proposals by Micurá de Rü (1833), Jan Matî Declara (1878) and Jan Batista Alton (1879) for a written code, which was supposed to represent the entire Ladin community, could not find the necessary consensus. Even though they were exponents of the numerically largest community, that of Val Badia, they failed in their intentions due to problems that must be considered also socio-­political and not only linguistic. Nevertheless, the three scholars were the first to establish the necessary conditions for the Ladin language, which had remained bound to oral use for centuries, to become written. This was an essential step for Ladin to be promoted from the status of dialect to that of language.
“Aizzare il cane”. Un saggio del vocabolario-atlante del lessico venatorio siciliano
Authors: Ruffino Giovanni
Published: April 2024

After briefly illustrating the structure of the Vocabolario-atlante, literally ­“Vocabulary-Atlas”, which is being created as part of the Atlante Linguistico della Sicilia (ALS), the Linguistic Atlas of Sicily, and after mentioning the hunting vocabulary, characterised by a very rich and varied lexicon, the essay on the concept “Aizzare il cane” (to “stir up the dog”) is presented, marked by many entries of imitative origin.
Una nota sugli esiti italoromanzi di UNDE, con particolare riguardo al siciliano
Authors: Sornicola Rosanna
Published: April 2024

The development of the Sicilian adverb / spatial complementizer unni, “where”, is examined in its synchronic and diachronic structural aspects and in its historical dynamics, in the light of a comparative analysis of the evolution of the Latin expression unde and its changes in relation to ibi in the Romance varieties. The study discusses the shifts in the semantic value of the Latin unde that have occurred in many areas of Romània, the ancient Romance-speaking world. The results of the analysis show that for the Italo-Romance area, ancient Sicilian and Tuscan texts have long maintained competing forms derived from the two Latin bases. Furthermore, they provide the opportunity to critically reconsider Rohlfs’ thesis that the Sicilian unni is a Gallicism or an element that was introduced into the island’s varieties through Gallo-Italic influence. The analyses conducted may justify the conclusion that the adverb / complementizer unni is a patrimonial form in Sicilian. This discovery may also have implications for the methodology of studying the relationship between internal and external factors of diachronic processes, where the historical analysis of texts is a crucial component.
Xamanismo contemporâneo:
Authors: Oliveira Bezerra Karina
Published: April 2024

Esse artigo traça a história do neoxamanismo no Brasil através de pesquisa bibliográfica e documental, participação em rituais, entrevistas pessoais e questionários. Primeiro, investigamos o surgimento do conceito de xamanismo no Ocidente e a consequente fusão desse com as ideias de natureza no século XIX. Analisamos o desenvolvimento do xamanismo contemporâneo sob a liderança indígena e suas aberturas e fusões com o mundo moderno, assim como, de modo inverso, a criação do movimento sob a liderança dos acadêmicos e suas buscas pela tradição. Na segunda parte, investigamos como esse movimento aconteceu no Brasil, e buscamos criar uma curta história do movimento no país, através das histórias de quatro importantes figuras desse movimento religioso.
Espiritismo e crítica ultramontana:
Authors: GOMES ADRIANA
Published: April 2024

Este artigo instrumentalizou uma metodologia fundamentada na análise textual dos artigos publicados no periódico O Jornal de 1926. O principal objetivo deste artigo reside na minuciosa investigação do discurso propagado pelo intelectual ultramontano Carlos de Laet, cuja influência era amplamente difundida por meio do periódico carioca. A pesquisa concentra-se na compreensão da perspectiva do espiritismo sob a ótica do grupo católico que se opunha de maneira enérgica às mudanças inerentes à modernidade. Além disso, busca-se aprofundar a compreensão das diversas formas pelas quais as práticas relacionadas ao espiritismo, ou aquilo que à época era categorizado sob tal rótulo, eram classificadas como manifestações supersticiosas. Através da análise de cinco publicações específicas, é possível identificar que Carlos de Laet empregou uma gama variada de adjetivos distintos para qualificar o espiritismo, o que proporcionou um terreno fértil para o desenvolvimento de debates e para a veemente contestação dessas práticas por meio de suas eloquentes retóricas. O cerne deste estudo se concentra na investigação aprofundada das percepções e argumentos utilizados pelo autor com a finalidade de criticar e refutar o espiritismo. O enfoque recai sobre a maneira pela qual o fenômeno era percebido pela perspectiva do catolicismo ultramontano, uma corrente que demonstrava notável resiliência diante das profundas mudanças sociais e culturais que marcaram o período.
erudição de João Guimarães Rosa na intersecção de outras erudições e artes da cidade
Authors: Fagundes Bruno Flávio Lontra
Published: April 2024

O artigo discute a relação da literatura e da linguagem de João Guimarães Rosa com o contexto de trocas e intercâmbios intelecto-culturais no Brasil dos anos 1940 e 1950 por meio da consulta aos livros do escritor em sua biblioteca, suas marcas e marginalias feitas no material impresso, identificando como o escritor consegue se aproveitar, conforme ele mesmo indica, de elementos sonoros e imagéticos de uma cultura de massas publicada em suportes como livros e demais materiais impressos, assim como rádios e filmes, revelando um Brasil aos brasileiros que se ouvem, escutam e leem, por meio de palavras, mas também por seus sons e imagens. O texto pretende adicionar ao riquíssimo projeto erudito linguístico de Guimarães Rosa, o que o levou a ser considerado o grande escrito em prosa do século XX brasileiro, suas trocas interculturais e, em especial, o relacionamento de sua arte com equipamentos de uma cultura de massas, que, ao invés de subtraírem componentes de erudição de sua obra, os potencializa e os otimiza.
Escolas de aprendizes marinheiros de Santa Catarina no século XIX
Authors: Gaya Sidneya , Lage Fernandes Laffin Maria Hermínia
Published: April 2024

Este artigo, realizado por meio do paradigma indiciário objetiva analisar sob diferentes perspectivas a Escola de Aprendizes Marinheiros de Santa Catarina (EAMSC). Apresenta e discute elementos classistas e racistas do estado de Santa Catarina, desde sua gênese, como província, no século XIX. Nesse contexto, formas de escolarização e profissionalização ainda não universalizados, muitas vezes, eram ofertadas às populações pobres e negras mediante violência e opressão, concretizando posições hierárquicas e desigualdades sociais. As EAMSC situavam-se na confluência de objetivos como obter mão-de-obra subalternizada para a Marinha Imperial e higienizar os espaços públicos livrando as cidades que se modernizavam, especialmente as cidades portuárias, com maior complexidade social, dos menores que por ali perambulavam. Por outro lado, também representavam a esperança de se instruir, alimentar, trabalhar com remuneração e conquistar a cidadania em meio ao ambiente de rigidez e ameaças nas quais operavam, para muitas famílias e meninos que nelas se inseriram voluntariamente.
Paraíso local ou perdição?
Authors: Covolan Silva João Gabriel , Camargo Portella Alberto
Published: April 2024

Resenha de
SOUZA, Laura de Mello e. O Jardim das Hespérides: Minas e as visões do mundo colonial no século XVIII. São Paulo: Companhia das Letras, 2022.
A permanência dos símbolos teriomórficos na arte e na psique
Authors: Leite Sandro , Liviano Wahba Liliana
Published: April 2024

O artigo trata de símbolos teriomórficos – referidos a animais. A importância que exercem pode ser atestada pela permanência na arte (pinturas parietais até os grafites contemporâneos) e na psique. A perpetuação de símbolos e temas é tratada por estudos como os de Aby Warburg em história da arte, com as noções de Kulturgeschichte, Pathosformel e Mnemosyne: a recorrência de temas, emoções e comportamentos revela a perpetuação de símbolos interligados à cultura. Essa recorrência simbólica, em termos psíquicos é entendida por C.G. Jung mediante as noções de arquétipo e inconsciente coletivo. Autores contemporâneos a Warburg e a Jung e seus respectivos conceitos, bem como a apresentação de algumas obras de arte, ilustram a importância dos símbolos teriomórficos. Aventa-se a hipótese de que seja uma necessidade psíquica de reunir a natureza biológica, sua força desejante instintiva com a esfera da mente e do sentido de ser constantemente renovada.