bluuebunny/crossref_metadata_2025 huggingface dataset:
A Framework of Digital Twins for Improving Respiratory Health and Healthcare Measures
Authors: Nancy R Golden , Venkatesan R , Sundar G Naveen , Jebaseeli T Jemima
Published: June 2024

The investigation describes an inventive use of digital twin technology and LSTM-based machine learning models for real-time patient lung disease monitoring and nutrition planning. The suggested application uses various patient healthcare data, treatment processes, dietary habits, and real-time sensor information to construct digital twins, which are virtual reproductions of specific patients. The LSTM model is trained on this large dataset to predict patient health improvements and dietary needs. For each patient’s digital twin, the program provides personalized treatment plans and nutritional advice, enabling proactive interventions and optimizing patient care. Using performance measures, the trained LSTM model achieves high scores for accuracy (92%), precision (89%), recall (93%), and F1 score (91%), proving its usefulness in generating credible health predictions. Patient feedback on the program shows that patients (98.8%) agree on the accuracy and importance of health feedback, as well as the convenience of access to health information (95.4%). The application’s response rate study reveals an average response rate of 85.87%, assuring prompt feedback. To secure patient information, the study emphasizes data privacy and security, adopting multilayered authentication and data encryption. The outcomes of this study demonstrate the application’s potential to revolutionize patient-centered healthcare by providing data-driven, personalized solutions to patients and healthcare professionals.
Application of Deep Learning and Computer Data Mining Technology in Electronic Information Engineering Management
Authors: Jiang Kun
Published: June 2024

This article studies the application of deep learning and computer data mining technology in electronic information engineering management to meet the library’s demand for larger collection space and alleviate the management pressure of book preservation, borrowing, and return. This article also utilizes the general information mining function to further improve the information retrieval function. The conclusion of this article is as follows: Based on the traditional April algorithm, an improved address based April algorithm is proposed. The improved Apriori algorithm can reduce the final number of permanent data packets and save about 70% of time. For the minimum supported changes, the improved Apriori algorithm has lower execution time and approximately 60% time reduction. This article develops a data mining algorithm that is more suitable for electronic library management information systems based on existing data mining technologies. Has clear theoretical and practical significance.
Application of CNC Robots in Deep Learning Intelligent Construction of Green Buildings
Authors: Zhang Wei
Published: June 2024

In order to achieve automated cleaning of photovoltaic devices in green buildings and reduce the labor intensity of workers, the author has developed a photovoltaic device intelligent cleaning CNC robot intelligent cleaning system. Through the analysis of the use of the green building photovoltaic device, the green building photovoltaic device cleaning robot and its cleaning system are designed according to the environmental situation and the use requirements. This intelligent cleaner system consists of a transmission guidance system, a cleaning system, and a control system, using only one motor to complete the overall action, at the same time, an independent walking mechanism is designed, and the walking wheel system is not in contact with the photovoltaic device, which does not harm the photovoltaic device, at the same time, it can cross two adjacent photovoltaic panels with included angles to achieve the function of cleaning complex photovoltaic panel surfaces for a single device, the cleaning layer design has a diagonal protrusion similar to a spiral output, which can automatically discharge accumulated dust from the cleaning roller while cleaning, providing a certain self-cleaning function, extending the replacement cycle of the cleaning layer, and can be used for both dry and wet purposes. Realize wet cleaning; when the cleaning solution is not used, use the cleaning layer and its surface oblique raised to remove dust, achieve dry cleaning. On the whole, the robot structure is reasonable, simple control process and high degree of automation, which can effectively solve the cleaning problem of green building photovoltaic devices, and can provide effective guarantee for the efficient work of photovoltaic devices.
Research on a Human Moving Object Detection Method Based on Gaussian Model and Deep Learning
Authors: Sun Yuma
Published: June 2024

In order to understand human motion object detection methods, the author proposes a research on human motion object detection method based on Gaussian model. Firstly, traditional Gaussian models are unable to detect  complex scenes or slow moving targets. Therefore, an improved Gaussian model based moving object detection algorithm is proposed. Secondly, multiple Gaussian models are used to represent the features of each pixel in the moving target image, and based on the matching of each pixel in the image with the Gaussian model, it is considered as a background point. Conversely, it is based on the principle of the foreground, and the Gaussian model is updated. Finally, by updating the foreground model and calculating short-term stability indicators, the detection effect of moving targets is improved. By determining the Gaussian distribution and pixel relationship, new parameters are set to construct the background model and eliminate the impact caused by sudden changes in lighting. The experimental analysis results show that this method can effectively detect and track moving targets, with good noise resistance, high clarity, and an accuracy rate of up to 99%. Compared with traditional Gaussian model methods, the improved method can more effectively detect moving targets and has better robustness.
Research on Surveying and Mapping Data Processing Based on Nonlinear Mathematical Models and Deep Learning Optimization
Authors: Wei Huixian , Wei Xianghui
Published: June 2024

In order to deeply understand the mapping data processing of nonlinear mathematical model optimization, this paper uses nonlinear model optimization theory to process mapping data. When the precision of parameter approximation is high, the calculation results of each algorithm are the same, and the iteration times of the fastest descent method and simplex method are significantly increased compared with the other three algorithms. Therefore x01 = 5.42 in the parameter is kept unchanged near the truth value, and the convergence range of Newton method, the fastest descent method, conjugate gradient method and simplex method away from the truth value of parameter x02 = −0.25 is investigated. When the approximate value of undetermined parameters is high, the results of Newton algorithm and simplex algorithm are consistent, but the Newton iterative algorithm has faster convergence speed and higher computational efficiency than the simplex algorithm. Lower value when the undetermined parameter approximation precision, namely the undetermined parameter approximation and its true value is far off, may complete failure type Newton iteration algorithm, the simplex algorithm can be a supplement of the Newton method for the most part, the simplex method significantly reduces the requirements for initial value of parameters, data calculation efficiency has improved significantly.
A Novel Wind Power Prediction Scheme by Coupling the BP Neural Network Model with the Fireworks Algorithm
Authors: Li Yonggang , Su Yaotong , Xia Lei , Li Yongfu , Xiang Hong , Liao Qinglong
Published: June 2024

Wind power has unpredictable, intermittent traits due to meteorological conditions and environmental factors. Large-scale grid integration of wind energy will undoubtedly challenge system stability. This study developed a fireworks algorithm-backpropagation (FWA-BP) neural network model to forecast wind power using wind speed, direction, and power as model inputs. Optimization of the BP network weights and thresholds occurred through the fireworks algorithm. Compared to a standard BP network, the FWA-BP model yielded improved prediction accuracy seen through a lower mean squared error. This implies that the approach introduced in this paper significantly enhances global search capabilities, prediction accuracy, and speed. It contributes to enhancing the reliability of the power system, optimizing resource allocation, and improving wind power scheduling, with substantial potential and economic significance.
Multi-media Image and Video Overlay Text Extraction Based on Bayesian Classification Algorithm
Authors: Yin Liangliang , Wang Ziqiang
Published: June 2024

With the continuous development of Internet technology, using multimedia for virtual application has become a new way. In this paper, by introducing the bayesian classification algorithm, multimedia graphics and video for  carding, testing and implementation of edge image of fine processing, matching the corresponding text for quick positioning, at the same time use the filter for image and video background picture, further classification, distinguish between background and text, the extraction of superposition character. Simulation results show that the bayesian classification algorithm is effective and improves the efficiency and accuracy of image and video processing.
Energy Saving and Emission Reduction Optimization of Enterprise Hazardous Waste Recycling Management System based on Hybrid Genetic Algorithm
Authors: Shang Li
Published: June 2024

This research proposes a new path planning model for hazardous waste recycling transportation to effectively manage the hazardous waste recycling transportation, improving the transportation efficiency, while considering the actual road conditions. The new model adopts the conservation algorithm and hybrid genetic algorithm, which makes the new model better meet the complex needs of hazardous waste recycling. The new approach enables optimal transportation path planning for hazardous waste recycling while ensuring safety and compliance. The results showed that the hybrid algorithm outperformed the other two algorithms in terms of path optimization, cost reduction, accuracy improvement and error reduction. The hybrid algorithm had the best path optimization effect, which can get the optimal path with the lowest cost and highest efficiency. The hybrid algorithm had the highest accuracy of 95.62%. It also had the lowest root mean square error and average percentage error, indicating that it had less error. Finally, the hybrid algorithm had the highest loss function value, which indicated that the model had the best stability and better performance. The new hybrid genetic algorithm performed better than the single traditional algorithm, which is more efficient for hazardous waste recycling.
Secure Encrypted Transmission of Network Data in Cloud Computing Technology Environment
Authors: Miao Zhifeng , Zhao Chunping
Published: June 2024

In order to solve the problem of communication data theft in conventional network communication data transmission methods and ensure the security of network communication data transmission, it is necessary to design new network communication data security transmission methods based on cloud computing technology, formulate network communication data security transmission agreements, construct a network communication data security transmission model based on cloud computing technology, and design a network communication data security transmission scheme, implement secure transmission of network communication data. The experimental results show that after using the designed network communication data secure transmission method, the amount of stolen communication data is less than that of conventional methods. This proves that the designed network communication data secure transmission method has high transmission security, good transmission effect, and reliability, and can be used as a reference for subsequent network communication data encryption transmission.
Exploring Collaborative Co-Signing Intelligence and Parallel Distributed Algorithms for Integrating Internal and External Documents
Authors: Hu Xiguo , Tao Zheng  , Dongliang Hou  , Yun Kang
Published: June 2024

In today’s complex and linked technology environments, attaining business efficiency and innovation is crucial. In this paper, an innovative architecture combining parallel distributed algorithms and collaboratively co-signing  intelligent verification frameworks is introduced. By promoting safe and effective interaction among heterogeneous systems, this synergistic method seeks to improve the integration process. Diverse systems are proliferating in both internal and external domains, requiring sophisticated integration solutions. Real-time data interchange, interoperability, and security are common issues with existing methods. By using parallel distributed algorithms and intelligent verification models, the suggested framework aims to overcome these difficulties. The framework presents a novel approach to confirming the integrity and validity of data transferred between systems by utilizing collaborative co-signing. Co-signing increases security and confidence in the integrated environment by having several parties jointly validate the information. Through the introduction of parallel distributed algorithms and collaborative co-signing smart verification models, this research advances a comprehensive strategy for smooth integration of systems. The results highlight how the framework can facilitate safe and effective data interchange between external and internal systems, opening the door for more developments in connected technology environments in the future.
RBF Neural Network for Chaotic Motion Control of Collision Vibration System
Authors: Zhou Shuyu
Published: June 2024

Aiming at the control problem of chaotic motion of a kind of collision vibration system with gap, a chaotic motion control of collision vibration system based on RBF neural network is proposed. Firstly, the system mechanical model and chaotic motion are introduced, and then a chaotic controller based on RBFNN is designed to control and simulate the chaotic attractor. The model information of the system is not used in the control method. In this paper, the model of the system is used only to generate the input / output data of the system, and it is not used for the design of the controller. The parameters of AHGSA algorithm are set as follows: the population size is 30, the maximum number of iterations is 100,G0, a = 18, and the proportional coefficient P = 0.96. Small disturbances are applied to the controllable parameter ωof the system to suppress the chaotic motion of the system and make the system tend to stable periodic motion. In order to more clearly show the control effect of chaotic motion, the chaotic motion is controlled when the system iterates 400 times. The results show that the chaotic motion can be quickly controlled to periodic 1-1 motion, the phase diagram is a closed curve, and there is a peak in the spectrum diagram. Chaotic motion can be quickly controlled as periodic 2-2 motion, the phase diagram is two closed curves, and two obvious peaks appear in the spectrum diagram. The proposed method can effectively control the chaotic motion of the system, and the expected target can be not only the fixed point of period 1, but also other periodic orbits.
Educational Big Data Analytics for Futuristic Smart Learning Using Deep Learning Techniques
Authors: Rong Yu  , Tong Yao  , Bai Fan
Published: June 2024

The goal is to use the massive amounts of data created by digital education systems to develop intelligent and adaptable learning environments that are particularly suited to each student’s requirements. The rapid digitization of education systems has led to the proliferation of educational big data, presenting unprecedented opportunities to reshape learning environments into intelligent, responsive spaces that adapt to the needs of individual learners. This paper explores the integration of advanced deep learning techniques with educational big data analytics to forge the path towards futuristic smart learning ecosystems. By leveraging robust datasets derived from a myriad of educational interactions, ranging from student performance metrics to engagement patterns in digital learning platforms, we propose a multi-tiered analytical framework that harnesses the predictive power of deep learning. We commence by elucidating the scope and scale of educational big data, highlighting its potential to provide granular insights into student learning processes. The paper then delineates the architecture of a deep learning-based analytical model designed to process complex, multidimensional educational datasets. This model applies state-of-the-art algorithms to perform tasks such as predictive analytics for student performance, personalized content recommendation, and real-time engagement monitoring. Central to our discussion is the application of convolutional neural networks (CNNs), recurrent neural networks (RNNs), and deep belief networks (DBNs) in deciphering patterns and trends that escape traditional analytical methodologies. We emphasize the capacity of these techniques to capture the subtleties of learner behavior and to facilitate the development of adaptive learning pathways. Furthermore, we address the challenges of integrating deep learning with educational big data, including issues of data privacy, computational demands, and the need for robust model interpretation. The paper presents a series of case studies that demonstrate the successful application of our proposed framework in various educational settings, from K-12 to higher education and continuous professional development.
Research on Automatic Unattended Bill Collection, Paste and Verifiction Integrated Robot Equipment and Control Platform based on Deep Convolutional Neural Network
Authors: Wang Chao , Chen Xi , Wang Ying
Published: June 2024

A new solution for fully automated and unmanned ticket pasting verification based on deep convolutional neural networks is designed to address the issues of low efficiency, error-proneness, and wastage of manpower in the supplier service hall. The technology makes full use of machine vision and image processing, AI precise positioning correction algorithm and other methods to build an automatic unattended bill collection, paste and verification platform. Through the technologies of high-speed identification of invoice information, 3D vision-guidance planning, control of the path of robotic arm , detection of invoice pasting and repeating based on ultrasonic sensors, and tidal temporary storage of paper invoices, and so on, the automatic high-speed identification and inspection of bills in the supplier service hall are realized, and the efficiency and accuracy of bill processing in the supplier hall are improved. Experiments show that this research method reinforces ability of identification calibration and order correlation, and improves the efficiency of Invoice filing.
Computer Vision for E-learning Student Face Reaction Detection for Improving Learning Rate
Authors: Qiaoqiao Sun  , Chen Huiqing
Published: June 2024

In the advent of e-learning, understanding student engagement and reaction is crucial for improving the quality of education and enhancing the learning rate. With the advancement of computer vision technologies, there is a significant opportunity to analyze and interpret student reactions in a non-intrusive manner. This study proposes a novel framework employing Faster R-CNN integrated with DenseNet architecture for real-time detection of student facial reactions during e-learning sessions. The proposed method leverages the strengths of Faster R-CNN in generating high-quality region proposals for object detection tasks, coupled with the DenseNet’s efficiency in feature propagation and reduction in the number of parameters, which is well-suited for processing the intricate patterns in facial expressions. Our approach begins with the application of Faster R-CNN to extract potential facial regions with high accuracy and reduced computational cost. The integration of DenseNet as a backbone for feature extraction within Faster R-CNN capitalizes on its densely connected convolutional networks, ensuring maximum information flow between layers in the network. By doing so, the system becomes exceptionally adept at recognizing subtle changes in facial features that indicate various student reactions, such as confusion, engagement, or boredom. We conducted a series of experiments using a diverse dataset of e-learning interactions, collected under various lighting conditions and involving multiple ethnicities to ensure robustness and generalizability. The model was trained and validated on this dataset, and the results demonstrate a significant improvement in detection rates of student reactions compared to existing methods.
Comprehensive Evaluation of Regional Road Transport Safety Service Level
Authors: Dang Xiaoxu , Guoyu Wang  , Xiaodong Zhou  , Shihui Wang
Published: June 2024

Ensuring road transport safety is a critical imperative for regional development and public welfare. This abstract outline a comprehensive evaluation framework designed to assess the service level of regional road transport safety. The proposed methodology integrates diverse parameters, encompassing infrastructure, technology, policy, and human factors, to provide a holistic understanding of the safety landscape. Using real-time data integration and powerful analytics, the assessment system combines quantitative and qualitative indicators. Technology aspects of infrastructure evaluations centre on the effectiveness of automated transportation systems and their influence on accident reduction; architecture evaluations also cover the layout of roads, advertising, and maintenance requirements. Policy evaluation is examining current laws and the ways in which they are enforced while considering how they affect the behaviour of drivers and public safety. The proposed method uses DCNN method for intelligent road transport safety. Using DCNN algorithms to monitor and regulate traffic congestion in smart  cities represents a significant leap in the use of deep learning in traffic management.
EFFECTIVENESS OF MANAGEMENT TEAMS: MODERN TRENDS
Authors: Mitrofanova Aleksandra , BEREGOVSKAYa T.
Published: June 2024

The article substantiates the relevance of the topic of the formation and work of management teams and assesses the factors that influence the work of the management team and personnel as a whole. The information basis of the article is the Global Board Survey conducted by InterSearch and Board Network. The results of the analysis made it possible to note very convincing, universal conclusions and patterns presented in the article. The article presents the leading megatrends identified by the interviewed representatives of management teams, the most pressing challenges and problems for the company and promising areas of activity for management teams. The study also made it possible to highlight the requirements for the competencies and planning of the management team. Another aspect considered in the article is the efficiency, dynamics and effectiveness of the management team. As a result, recommendations were made to improve the efficiency of management teams.
PROBLEMS OF PERSONNEL MANAGEMENT IN SMALL AND MEDIUM BUSINESS ORGANIZATIONS
Authors: Orlova Lyubov' , Ivanov I. , Sundukova G.
Published: June 2024

The characteristic features of small and medium-sized enterprises (SMEs), which are reflected in the work with personnel, are considered. There is a convergence in this business of the functions of the owner and manager, an increase in the role of the head of the company and each individual employee, speed of decisionmaking, and flexible organization of work. The identified problems in the process of personnel management of small and medium-sized businesses (SMEs), including business instability, the seasonal nature of activities, insufficient funds for the use of modern personnel management tools, difficulties in attracting highly qualified specialists, the predominance of administrative management methods, imperfection of the remuneration system. It is noted that an effective option for mitigating the effect of negative factors on the process of personnel management in SMEs is the cooperation of small and medium-sized businesses with scientific and educational organizations and, first of all, with universities. The obstacles to such cooperation and the main directions for overcoming these obstacles are identified. Among the latter are strengthening support for SMEs collaborating with scientific and educational institutions, intensifying work to create structures that facilitate the commercialization of the results of joint activities of SMEs and universities.
USING A COMPETENCE-BASED APPROACH IN FORMING A PERSONNEL RESERVE
Authors: Sergushkina V.
Published: June 2024

This article is devoted to considering the issue of using a competency-based approach when forming a personnel reserve in a modern company. For successful functioning, an organization needs highly qualified and talented personnel. The use of competency models to form a personnel reserve will allow you to evaluate employees not only in terms of knowledge and skills, but will also allow you to determine what personal and business qualities an employee should have for a specific position. The article discusses the theoretical aspects of the formation of competency models in an organization, and also provides an example of developing a competency model for a modern company
INVESTING IN HUMAN CAPITAL AS A FACTOR IN THE DEVELOPMENT OF THE HIGHER EDUCATION SYSTEM
Authors: Suvalova Tatyana , Suvalov O.
Published: June 2024

Investments in human capital directly affect the improvement of the quality of work of a specialist, an organization, which, in turn, directly affects the economic development of the country. Investments in human development are of particular importance in the context of the reorganization of the higher education system. The article deals with topical issues of formation, development and use of intellectual potential. The directions of evaluation of investments in human capital of educational organizations are highlighted. Attention is focused on the development of creative potential that contributes to improving the quality of education and the formation of competitive, highly qualified workforce. The indicators of the assessment of human capital in the higher education system from the point of view of investments are formulated. Special attention is paid to the problem areas of human capital development in higher education. Priority directions for solving the identified problematic issues are highlighted.
FEATURES OF THE SURVEY APPROACH TO IDENTIFYING CONFLICTS IN THE ORGANIZATION USING ARTIFICIAL INTELLIGENCE
Authors: Kraev V. , Tihonov V.
Published: June 2024

Modern trends in the development of society and the capabilities of information infrastructure require the sustainable operation of existing models for identifying conflicts among employees in an organization, as well as the use of new approaches. The research work examines certain weaknesses of existing survey methods, which can significantly reduce the quality of the model’s results. The use of artificial intelligence makes it possible to minimize the identified shortcomings of survey methods, process large volumes of information of various types, opening up new opportunities for its use in the field of personnel management. This paper examines current problems of survey methods and the good prospects of using artificial intelligence to identify conflicts between employees of an organization.
FACTORS OF THE PERSONNEL CRISIS IN THE MANAGEMENT OF A MODERN COMPANY
Authors: Taganova E.
Published: June 2024

The modern world is characterized by an increase in the number and speed of changes occurring in the external environment. Many researchers emphasize that the organization and staff today operate in conditions of uncertainty and risk. Modern companies feel the need to simultaneously increase sustainability and flexibility. The crisis reveals weaknesses, forcing employers to develop strategies to optimize costs, technologies, personnel, etc., to change the emphasis in planning and prioritization. In the article, the author examines the most significant causes of the personnel crisis, which can significantly affect the course and severity of the general crisis in the organization.
THE PROCESS OF INTEGRATING THE CAPABILITIES OF ARTIFICIAL INTELLIGENCE IN wORKING wITH STAFF
Authors: Ashurbekov R. , Chernikova Ya. , Zhuravleva O.
Published: June 2024

This article examines the changes in the personnel management process caused by the introduction of artificial intelligence, emphasizing their impact on staff functions. The purpose of the study is to consider the potential advantages and disadvantages of using artificial intelligence technologies when working with personnel, as well as to study the process of integrating AI into business processes. To achieve this goal, the author has put forward the following tasks:

1) Give a general description of artificial intelligence, determine its importance and the main advantages of its introduction into business.

2) Consider specifically how it can be applied in personnel management, for this.

In order to comprehensively and fully consider the presented topic, the author researched scientific articles written by domestic and foreign authors, as well as information from open sources contained on the Internet.
ORGANIZATION OF THE PERSONNEL RESERVE TRAINING PROCESS
Authors: Kashtanova YEkatyerina , Bir E.
Published: June 2024

The article examines the process and methods of training employees enrolled in the personnel reserve, provides the stages of training the personnel reserve and the characteristics of each stage, as well as recommendations for creating individual development plans for reservists. The characteristic of the approach to the selection of various positions for training the personnel reserve in terms of the importance of the position for the organization is given. The authors note that more and more companies are considering a mobile application as one of the main training tools for young employees enrolled in the personnel reserve, and therefore the article defines the necessary content of the interface of such an application with the possibility of gamification of the learning process.
SELF-BRANDING AS A CONDITION FOR SUCCESS IN A PROFESSIONAL CAREE
Authors: Muhametshina Gul'nara , MINNIBAEVA L.
Published: June 2024

The article presents the description and importance of self-branding in the professional development of a specialist. It is noted that today in our country, self-branding is only gaining momentum, so those people who want to create their own brand need to work on it independently. The authors of the article consider self-branding as a process aimed at ensuring that a person can position himself as a successful employee in his professional activity and be in demand in the labor market. Describing the stages of creating your personal brand, it is noted that society is changing, its needs and interests are changing, hence the employers’ request is changing. Based on this, the article contains recommendations that allow you to maintain your personal brand and remain successful in your professional career.
Record of Lepidoptera and Hemiptera as a food resource of Acutisoma longipes Roewer, 1913 (Arachnida; Opiliones) in the Cerrado, Brazil
Authors: Silva Maria Luiza Simões , Castro Igor Rodrigues de , Freitas Felipe Barbosa Augusto de , Vilela Diogo Silva , Jacques Gabriel de Castro , Souza Marcos Magalhães de
Published: June 2024

Harvestmen are nocturnal arachnids, commonly found in humid forests, with omnivorous feeding behavior. There are records of different taxa in the diet of these arthropods, but data is still scarce for many species, especially in Cerrado areas. Thus, the objective of the present work is to report Lepidoptera and Hemiptera in the diet of the harvestman Acutisoma longipes Roewer, 1913, in Mata de Galeria in the Cerrado of Minas Gerais, Brazil. The records occurred randomly in the municipality of Luminárias, Minas Gerais, on October 10th and December 4th, 2023. In the first record, the species A. longipes was feeding on a moth (Lepidoptera: Erebidae). In the second record, the same species fed on a leafhopper, Mahanarva sp. (Hemiptera, Cercopidae). It was not possible to say whether these insects were preyed upon, usurped by other predators or found dead, but any of these hypotheses can be considered. This record contributes to increasing knowledge about the diet of harvestmen, especially in the Cerrado biome, where there is a need for more related studies.
THE POSITION OF WOMEN IN RAP MUSIC IN THE CONTEXT OF GENDER
Authors: Soydaş Ecem , Dirimeşe Erdem
Published: June 2024

Öz: Son zamanlarda rap müziği oldukça popüler hale gelmiş ve dinleyici kitlesine kendisine hayran bırakmayı başarmıştır. Rap müzik ritminin yanı sıra ele aldığı toplumsal konu ve sorunlarla dikkat çekmektedir. Rap müziği dinleyicisini sadece eğlendirmekle kalmayıp aynı zamanda bilgi de vermektedir. Bu müzik türünün ele aldığı konulardan biri kadındır. Bir nevi Kadının toplumdaki yeri ve önemini göstermektedir. Rap müzik sözlerindeki kadınların toplumsal cinsiyet bağlamında incelenmiştir. Bu çalışma nitel bir araştırmadır. Bulgular, yabancı rap müzik sözlerinde geçen kadınlar incelenerek toplumsal cinsiyet çerçevesince toplumsal cinsiyet normları, kadınların aşağılanması, kadın rolleri ve cinsiyetçilik temaları kaynak tarama yöntemi ile bulunmuştur ve rap müzik sözlerinde yer alan kadınlar içerik analizi ile analiz edilmiştir. Youtube platformunun hazırlamış olduğu mayıs ayının Rap Music 2022 Playlist’inden sıralamaya göre dinlenme sayısı en çok olan ve kadın temasını ele alan şarkılardan 10 tanesi örneklem olarak seçilmiştir. Bu çalışmanın bulguları, gündelik hayatta olduğu gibi analiz edilen rap şarkılarında toplumsal cinsiyet çerçevesinde kadınlara yönelik basmakalıp tiplerin olduğunu ve kadının toplumsal bir problem olarak değil, şiddet ve bedenlerinin ön planda tutulduğunu gösterir.

Abstract: Rap music has become very popular and has managed to fascinate its audience, recently. Rap music draws attention the problems with its rhythm it addresses as well as the social issues. It is not only entertains its listeners but also informs them. One of the subjects that this genre of music deals with is women. In a way, it shows the position and importance of women in society. Women in rap music lyrics are analysed in the context of gender. This study is a qualitative research. The findings were found by the method of literature review on the themes of gender norms, humiliation of women, women's roles and sexism within the framework of gender by examining the women mentioned in rap music lyrics, and women in rap music lyrics were analysed by content analysis. From the Rap Music 2022 Playlist of May prepared by the Youtube platform, 10 of the songs with the highest number of listeners and dealing with the theme of women were selected as samples. The findings of this study show that there are women stereotypes and violence in the framework of gender in rap songs analysed as in daily life, and their bodies are prioritized, not a social problem of women.
PROFESYONEL KADIN BAĞLAMA İCRACILARININ KISA-UZUN SAP BAĞLAMA TÜRÜ TERCİHLERİNİN MÜZİKAL VE KÜLTÜREL BAĞLAMDA İNCELENMESİ
Authors: Karataş Yasemin , Doğan Mehmet Sadık
Published: June 2024

Literatüre bakıldığında bağlamanın toplum tarafından erkek çalgısı olarak kabul gördüğü, kadın icracıların bağlama çalgısını icra etme konusunda geri planda kaldığı ve bağlama ile ilişkilendirilen cinsiyet kimliğinin erkek cinsiyet kimliği olduğu görülmüştür. Profesyonel bağlamda bağlama icrası gerçekleştiren kadın icracıların bağlama türü tercihlerine ilişkin olarak müzikal ve kültürel bağlamda bazı tespitlerin yapılmasının amaçlandığı bu çalışmada, kadın icracıların kısa-uzun sap tercihleri belirlenmeye çalışılmış ve bu durumun arka planında bulunan müzikal ve kültürel faktörler ortaya konmaya çalışılmıştır. Araştırma nitel araştırma yöntemlerinden betimsel modele uygun olarak gerçekleştirilmiştir. Veri toplama aracı olarak yarı yapılandırılmış görüşme formu kullanılarak profesyonel olarak bağlama icrası gerçekleştiren beş kadın icracı ile derinlemesine görüşmeler gerçekleştirilmiştir. Elde edilen veriler içerik analizine tabii tutularak tema ve kodlar halinde tablolaştırılmış, tablolarda frekans (f) ve yüzdelik değerlerine (%) de yer verilmiştir. Araştırma sonucunda kadın icracıların kısa ve uzun sap bağlama türü tercihlerinde, bağlamanın ergonomik yapısı, yöresel tavır özellikleri, akort düzeni gibi müzikal unsurlarından etkilendikleri gibi bağlama çalgısına ilişkin olarak aile ve sosyal ortam gibi kültürel unsurlardan da etkilendikleri belirlenmiştir. Ayrıca toplumsal cinsiyet kalıp yargılarının kadınların bağlama türü tercihinde olumsuz etkiye sahip olduğu ve bu bağlamda kadınların bağlama türü tercihlerinin bu kalıp yargılar doğrultusunda etkilenebildiği belirlenmiştir.
ANTİK MÜZİĞE ARMONİK DOKUNUŞLAR
Authors: Özbilen Serdar
Published: June 2024

Müziğin insan doğası üzerindeki etkileri halen popüler konulardan biri olmaya devam etmektedir. Tarih öncesi çağlardan itibaren ritüel amaçlı kullanılan müzik, günümüzde farklı formlara bürünmüştür. Müzik bugün insanın bulunduğu her ortamda icra edilmektedir. Bu nedenle müziğin tüketimi sorunsalı akademik konuların ana argümanlarından birisini oluşturmaktadır. Müziğin belirli bir düzen içerisinde icra edilmesi ise arkeo müzik alanında çalışanların ilgisini çekmeye devam etmektedir. Bugün, müziğin düzenli/düzensiz ses aralıkları, ses eğitimi, notasyon ve armoni konuları, köken bulma girişimlerini teşvik etmiştir. Bu konuda ise en önemli bilgi kaynağımızı Antik Yunan müziğinden sağlamaktayız. Bu dönemden kalma vazo resimleri ve antik yazarlara ait kaynaklar oldukça önemli bilgiler sağlamaktadır. Bu kaynaklar aynı zamanda müzik aletlerinin ikonografilerinin oluşturulmasında son derece kritik öneme sahiptirler. Çalışmamızı söz konusu kaynaklar ışığında irdeleyip bahsi geçen sorunsallara göz atacağız. Sonuçta elde edilen bulgular ışığında modern Avrupa müzik sistemlerinin kökeninde Antik Yunan müziğinin oldukça etkili olduğunu söyleyebiliriz.
16.-20. YÜZYIL KAZAK (SLAV) KÜLTÜRÜNDE GELENEKSEL KADIN GİYİM KUŞAMI
Authors: Yıldırım Nejla
Published: June 2024

Giyim tıpkı yemek, uyku, su, barınma gibi insanın en temel ihtiyaçlarından biridir. Bu nedenle giyim kuşam, insanoğlunun var olmasıyla birlikte ortaya çıkar ve geçmişten günümüze çeşitli değişimler ve dönüşümler geçirerek bugünlere ulaşır. Tarihi süreçlere bakıldığında insanların ilk zamanlarda örtünmek ve doğa koşullarına karşı vücutlarını korumak amacıyla giyindikleri, daha sonraki zamanlarda ise insanların uygarlık ve kültür seviyelerinin değişmesiyle birlikte giyim kuşama farklı anlamlar ve işlevler yüklendiği görülür. Toplumun her ferdini ilgilendiren, maddi kültürün ayrılmaz bir parçasını oluşturan giyim kuşam, birçok kültürde olduğu gibi Kazak kültüründe de önemli bir yere sahiptir. Genellikle Ukrayna ve Rusya’dan gelen Slavlardan oluşan Kazaklar, sınır bölgelerinde yaşarlar. Askerlik yaparak sınırların güvenliğini sağlarlar. Savaşçı bir toplum olan Kazaklar, aynı zamanda kendilerine has yaşam tarzına da sahiptirler. Bu eksende çalışmamızın amacı da Kazakların yaşam tarzının ayrılmaz bir parçasını oluşturan giyim kuşamı ele almak ve Kazakların karakteristik giyim kuşam tarzının oluşmasına etki eden faktörler üzerinde durmaktır. Çalışmamızda nitel araştırma yöntemlerinden biri olan tarama modeli kullanılmıştır. Veri toplama tekniği olarak belge analizi yapılmıştır. Elde edilen veriler örneklemeye uygun olduğu düşünülen görsel materyaller ile desteklenmiştir. Bu çalışma sonunda da kültürlerarası etkileşimin, dinin, tabiat şartlarının ve iklimin sadece Kazaklara özgü ve eşsiz bir giyim tarzının oluşmasına etki etmediği, aynı zamanda Kazakların giyim kuşamında çeşitliliğe ve zenginliğe de yol açtığı sonucuna ulaşılmıştır.
Halit Ziya Uşaklıgil'in Servet-i Fünun Dönemi Romanlarında Üçgen Arzu
Authors: Şengül Serap
Published: June 2024

Modern Türk edebiyatında birden çok edebî türde metin kaleme almış üretken isimlerden olan Halit Ziya Uşaklıgil (1865-1945), bilhassa romanın sanatsal açıdan önemli bir merhale kaydetmesini sağlamıştır. Türk edebiyatında roman türünde bireyi gerçekçi bir anlayışla ele alan yazarlardan olan Halit Ziya Uşaklıgil’in Servet-i Fünûn’da yazdığı romanlar yazarın olgunluk dönemi eserleri olarak değerlendirilir. Halit Ziya Uşaklıgil’in realist bir anlayışla kaleme alınan ve edebî açıdan yazarın romancılığında ileri bir aşamanın ürünü olan bu romanlarda René Girard’ın “romantik” ve “romansal” olarak ifade ettiği kategorizasyonu açıkça görmek mümkündür. Yazarın Servet-i Fünûn döneminde kaleme aldığı romanlar, Girard’ın “romansal hakikat” olarak adlandırdığı ve bireyin kendi arzularını başkasına göre şekillendirdiği gerçeğini gözardı etmemesi bakımından sanatsal açıdan daha değerli bulduğu metinlere yakındır. Bu makalede Halit Ziya Uşaklıgil’in Servet-i Fünûn dönemi romanları seçilmiş ve René Girard’ın “üçgen arzu” olarak ifade ettiği modeli çerçevesinde incelenmiştir. Çalışmanın amacı, yazarın romanlarına farklı bir perspektiften yaklaşarak yeni bir bakış açısı kazandırmaktır.
TARANÇI AĞZINDA YAZILMIŞ SAAT-NAME ESERİNİN SES UYUMLARI YÖNÜNDEN İNCELEMESİ
Authors: Çelik Fatih
Published: June 2024

Çoğunluğunun Doğu Türkistan’da yaşadığı Uygur Türkleri çok eski tarihlerden bu yana bu bölgede Çinliler ile mücadele halinde olmuştur. Çinlilere karşı sürekli bir bağımsızlık mücadelesi verilmiş, bazı dönemlerde beylikler, hanlıklar kurmuştur. Fakat günümüzde tekrar Çin zulmü ve baskısı devam etmektedir. Uygurların bir kolu olan Tarançı Türkleri İli havzasına yerleşmişler, burada Çinliler ile girdikleri mücadeleyi kazanmışlar ve 1864 yılında Tarançı Beyliğini kurmuşlardır. Fakat bölgede mücadele devam etmiş kısa bir süre sonra Rusların işgaliyle karşılaşmışlar. Rusların bölgede kısa süren işgalinin ardından bu bölgeyi tekrar Çinliler işgal etmiştir.
Milli ve medeni gelişmede çok ileri olan Uygur Türkleri o dönemde de Tarançı ağzında yazılmış birçok eser bırakmıştır. Bunlardan biri incelediğimiz Sa’at-name isimli bu eserdir. Kurban Niyaz tarafından Uygur Türkçesinin Tarançı ağzı ile yazılan Saat-name isimli eser N. Katanov tarafından bulunarak 9 Nisan 1897 tarihinde Rusça tercümesi yayımlanmıştır. Katanov’un bu çalışmasında, eserin herhangi bir dil incelemesi ve transkripsiyonunu yapmamıştır.
Bu çalışmada Sa’at-name isimli eserin transkripsiyonu ve çevirisi yapılmış ardından eserde geçen ses uyumları üzerinde durulmuştur. Çalışmada metin üzerinden yola çıkılarak ilk olarak kalınlık-incelik uyumu, ikinci olarak düzlük-yuvarlaklık uyumu ve son olarak da ünsüz uyumlarının Tarançı ağzındaki durumu tespit edilmiştir. Çalışmanın devamında orijinal metnin, transkripsiyonun ve çevirinin bir kısmı verilmiştir.
OSMANLI SARAY VE HALK MUTFAĞINDA KULLANILAN SUNUM ARAÇ GEREÇLERİNİN GÜNÜMÜZ MUTFAĞI İLE KARŞILAŞTIRILMASI
Authors: Pekyaman Asuman , Taş Muhlise Ayça
Published: June 2024

Toplumların yiyecek-içecek tüketimleri, yemek hazırlama ve pişirme yöntemleri, yemek sunum ve depolama araç-gereçleri, o toplumun kültürünü yansıtmaktadır. Bu çalışmada, Osmanlı dönemi saray ve halk mutfağında kullanılan sunum araç gereçleri günümüzdeki sunum araç gereçleri ile karşılaştırılmıştır. Böylece geçmişin kültürel dokusunun günümüze yansımaları ve geçmiş ile günümüz farklılıklarının ortaya konulması amaçlanmıştır. Çalışmada konuya ilişkin literatür taraması yapılmış, Osmanlı eserlerinin bulunduğu Topkapı Sarayı ziyareti edilmiş ve Osmanlı dönemi mutfak kültüründe yer alan araç gereçler incelenmiştir. Topkapı Sarayı’nda bugün sergilenen mutfak eşyaları, büyük yangından sonra kalanlardır. Osmanlı dönemi mutfağı; saray ve halk mutfağı olmak üzere ikiye ayrılır. Araştırma sonuçlarına göre, saray mutfağında kullanılan sunum araç gereçlerinin genellikle porselen ve değerli metallerden yapıldığı özellikle altın ve gümüş kullanıldığı, halk mutfağında ise daha sade ve dayanıklı malzemeler, özellikle seramik ve ahşap malzemelerin tercih edildiği görülmüştür. Günümüz mutfağı sunum araç gereçlerinin tasarımlarında ve kullanım alanlarında ise Osmanlı dönemine göre bazı değişiklikler yaşandığı gözlenmiştir. Sonuç olarak, bazı araç gereçlerin isimleri ve kullanılan malzemeler zaman içinde evrim geçirmiş olsa da, hala günümüzde kullanılmaya devam eden sunum araç gereçleri de bulunmaktadır. Bu çalışma, mutfak araç gereçleri üzerinden geçmişten günümüze uzanan kültürel bağları ortaya koyması açısından önem taşımaktadır.
ÖĞRENCİ FOLKLORUNDA KAN KARDEŞİ VE KANKA
Authors: Reyhanoğlu Gönül , Mansuroğlu Aliye
Published: June 2024

ÖZ: İnsanlar eski çağlardan günümüze soyunu devam ettirmek, yalnızlıktan kurtulmak, güvende ve güçlü hissetmek gibi nedenlerle evlilik yoluyla oluşan akrabalıklar kurmuşlardır. Bunlar da kan bağına dayalı akrabalıkları meydana getirmiştir. Evlilik veya kan bağıyla oluşan akrabalıkların ihtiyacı karşılayamadığı durumlarda, kan bağı olmayan sanal akrabalıklar kurulmuştur. Çağın gerekleri ve ihtiyaçları doğrultusunda ortaya çıkan sanal akrabalıklarla oluşan her yeni kurum, yeni adlandırmaları beraberinde getirmiş bu bağlamda sanal akrabalıklar çeşitli tanımlamalarla anılmıştır. Bu çalışma, lise öğrencileri arasında yaygın olarak kullanılan “kanka” sözcüğünden hareketle, kankalık kurumunun varlığı ve kankalığın bir sanal akrabalık olup olmadığı sorunsalı üzerine odaklanmıştır. Çalışmada verilerin toplanmasında nitel araştırma yöntemlerinden kısa cevaplı açık uçlu soru tekniği kullanılmıştır. “Google form” üzerinden 23 kısa cevaplı soru lise öğrencilerine dijital ortamda gönderilmiştir. Çalışma 2022 yılında Hatay’daki 5 lisede öğrenim gören 152 öğrencinin gönüllü katılımla yapılmıştır. Cevaplar içerik analizi çerçevesinde kod ve temalara dönüştürülmüştür. Çalışmada kan kardeşi ile kanka ilişkisi, kankalığın yapısı ve oluşumu ortaya koyulmuştur. Kanka kurumunun, kan kardeşliğinin yeni bir forma dönüşmüş şekliyle bir sanal akrabalık türü olduğu tespit edilmiştir. Lise öğrencilerinin bazı aile bireylerinde de kankalık mevcuttur. Kankalığın ihtiyaçlar sonucu ortaya çıktığı, özel bir iletişim şekli ve jargon oluşturduğu, öğrencilerin eğlenme, paylaşma, dayanışma, desteklenme, toplumsallaşma gibi ihtiyaçlarına cevap verdiği belirlenmiştir.
Apocalyptic Scenes In Emma Donoghue’s The Pull Of The Stars
Authors: Akyüz Ahmet Yusuf
Published: June 2024

Ahmet Yusuf Akyüz is an English language literature educator and a researcher in the literary field, specializing in English novels, and historical and postmodern fiction, he has some works on Hilary Mantel’s Wolf Hall Trilogy, Emma Donoghue’s The Pull Of The Stars, Aravind Adiga’s The White Tiger and other works.