bluuebunny/crossref_metadata_2025 huggingface dataset:
Current Trends, Advancements, and Challenges in Floating Solar Photovoltaic (FSPV) Systems for Off-Grid Applications: A Review
Authors: Jeffrey T. Dellosa
Published: April 2024

Increasing energy demands and the pursuit of sustainable and clean energy sources have intensified interest in Floating Solar Photovoltaic (FSPV) systems, particularly for off-grid applications. FSPV technology presents a strategic alternative for countries with limited land but ample water bodies, contributing to energy diversification and conservation of arable land. This paper provides a comprehensive technological trends, advancements, and challenges in the deployment of FSPV systems, drawing from an array of highly regarded publications and extensive patent searches via the Derwent Innovation database and various publications. While large-scale FSPV deployments have been successfully integrated with existing hydroelectric power plants and grid systems, the application of FSPV technology for local community use remains underexplored. The paper identifies the lack of comprehensive literature on stand-alone FSPV systems that include battery charging capabilities and integrated monitoring and control systems to mitigate environmental risks. Moreover, the paper discusses the economic, regulatory, technical, cultural, and environmental barriers to FSPV deployment. It suggests that continuous research and development, backed by supportive policy frameworks, are crucial for overcoming these challenges. The aim is to pave the way for resilient, community-centric FSPV installations that can withstand extreme weather and cater to localized energy needs.
Optimized Probabilistic Sink Node Deployment for Enhanced Performance in Wireless Sensor Networks
Authors: Padmavathy P.
Published: April 2024

This paper presents an innovative mechanism to deploy sink nodes in Wireless Sensor Networks (WSN), which play an essential role in the gathering sensed data from sensor nodes across diverse applications. Our mechanism is different from existing mechanisms, which deploy sink nodes based on the residual status of buffer and energy of the sensor nodes. Instead, proposed mechanism’s sink node deployment is decided based on the optimal probabilistic metrics related to buffer and energy status during data processing; aim to extend the network performance with respect to risk of buffer overflow and energy consumption. We analyse and validate the performance of the proposed work through simulation and compared the results with existing residual-based sink node deployment mechanisms. The results indicate the signification extension in the performance in terms of energy, packet loss and lifetime by mitigating bottlenecks at nodes. The work contributes to the improvement of WSN design and deployment mechanisms by significantly enhancing the performance and reliability of the network.
A Novel Approach Integrating IoT and WSN with Predictive Modeling and Optimization for Enhancing Efficiency and Sustainability in Smart Cities
Authors: S. Srinivasan
Published: April 2024

The development of smart city solutions is necessary for traffic management and environmental sustainability to meet the challenges of global urbanization. Based on this idea, the paper presents a new way to amalgamate IoT and Wireless Sensor Networks with predictive modeling and optimization methods for use in smart city management. To this end, we have installed traffic sensors (infrared, ultrasonic) and environmental sensors (air quality, humidity, gas) at strategic points throughout the city where they can collect real-time data on traffic and pollution. Then, this data is used together with machine learning models such as ANN (Artificial Neural Network), DT or Decision Trees, KNN (K-Nearest Neighbors), and RF or Random Forests. In practical terms, it is through iterative training processes that our models have achieved ever greater accuracy over time. Now they can actually learn and adapt to changing urban dynamics. The holistic solution of this approach pertains to informed decision-making in smart city infrastructure management. Urban stakeholders can make data-driven decisions by leveraging advanced sensor technologies and machine learning algorithms to deal with traffic congestion, reduce pollution and enhance the quality of life for smart cities. Urban planners, policymakers and technologists working on smart city solutions to improve urban mobility and environmental quality will all be interested in the outcomes of this study.
Robotic and Autonomous Systems (RAS): Dynamic Modeling of Cyber-physical Environments
Authors: K. J. Jegadish Kumar
Published: April 2024

Dynamic modeling of nonlinear systems in cyber-physical contexts is necessary for understanding and predicting complex behavior. Enabling accurate representation of intricate interactions between cyber and physical components is crucial for enhancing control systems, predicting maintenance requirements, and enhancing resilience. This article presents industrial automation and robotics, taking into account the circumstances in developing economies. The importance of studying and using industrial automation and robotics can be attributed to the complexity of today's industrial setup and the pressing demand for increased production quantity and quality. Finding current initiatives and chances for more research was the aim of the examination. When it reaches innovation maturity, there is a dearth of study on the application and adoption of automation technologies and even less on technology innovation or prototyping. A more recent development has been an increase in the amount of research being done on industrial production technologies, especially additive manufacturing. Research on non-robotic cyber-physical systems, such as IoT connection, drone technologies, and actuator and actuator technologies specifically geared towards the construction industry, is minuscule. This research significantly advances dynamic modeling methodologies by creating a comprehensive and adaptable strategy tailored to the complexities of cyber-physical systems.
System for Biological Sensor-Based Stress Detection Using the Bohm-Jacopini Algorithm
Authors: Roel P. Masongsong
Published: April 2024

Chronic stress has become a pervasive issue in modern society, particularly impacting professions like car driving. While mitigating stress entirely may not be feasible, exploring effective coping mechanisms is crucial. Although research on stress management is extensive, few studies have harnessed the power of modern technology to assess stress levels and simultaneously develop integrated management solutions.
The Role of Government Assistance in Zhanjiang Holistic Tourism Branding
Authors: Li Yunwei
Published: April 2024

In recent years, the concept of holistic tourism has emerged in China, providing a new perspective and direction for the development of the tourism industry. Government tourism assistance has been shown in research to impact public attitudes toward the tourism sector to some extent. This is particularly prevalent in China, where decision-making is made from the top down. As a result, the purpose of this study was to look at the role of government support in Zhanjiang tourist integrated marketing communication strategy in the context of holistic tourism development. The UTAUT and AIDA models are combined in this work, along with interaction and diversity expectations as independent variables and government assistance as a moderator. The researchers conducted descriptive and inferential analyses after distributing online surveys to 388 Zhanjiang residents. It is found that the major hindrances to Zhanjiang tourism's popularity have been identified as lacking promotion and construction. Furthermore, the results reveal that the audience appreciates receiving tourism information through mainstream media, and their adoption of integrated marketing communication is linked to performance expectation, effort expectation, social impact, interaction expectation, and diversity expectation. Additionally, government assistance is critical in creating Zhanjiang's holistic tourism brand and moderating the relationship between the adoption of integrated marketing interaction and diversity expectations. Overall, the paper states that the government should undertake comprehensive tourism as a key project in the region, supporting the reform of its overall structure and mechanism, and encouraging the participation of all main departments and society.
Students’ Satisfaction on e-Learning at Faculty of Nursing-Medical Technology of Ho Chi Minh City University of Medicine and Pharmacy
Authors: Ha-Thi Nhu-Xuan
Published: April 2024

This study is conducted to describe the satisfaction on e-learning and identify factors related to the satisfaction on e-learning of students at faculty of Nursing – Medical Technology in a national University of Medicine and Pharmacy. We designed a cross-sectional study with questionnaire collected from 736 nursing students. The participants have high satisfaction with an average mean score of 3.86/5. The criterion with the highest value is Capacity and the lowest is Reliability. Factors related to student satisfaction with e-learning include gender, course, content of course, activities before class, distance education methodology and academic results. This result reinforces previous findings regarding e-learning satisfaction among nursing students in a developing country and contributes to the current systematic studies in this field at the developing countries.
Construction of Self-Esteem and Self-Confidence in Stateless Children: Scoping Literature Review
Authors: Adi  Fahrudin
Published: April 2024

Statelessness, defined as the lack of citizenship, is a complex issue governed by international law. Factors contributing to statelessness include gaps in nationality, political policies, and individuals moving to countries at birth.. Stateless status can affect individuals of all ages, and children born to stateless parents are particularly vulnerable. This article explores the impact of self-confidence and self-esteem on the future preferences of stateless children. While international human rights instruments recognize basic rights for all, regardless of citizenship, many countries link citizenship to the full enjoyment of rights. Research methods employed a Systematic Literature Review (SLR) to gather insights from previous studies. The results and discussion section highlights the negative impact of statelessness on self-esteem and self-confidence, with stateless individuals often feeling invisible and undervalued. The lack of citizenship not only undermines political and legal status but also tests the limits of self-confidence and self-esteem. The article also discusses the challenges faced by stateless children, such as legal instability, discrimination, limited access to services, identity uncertainty, violence, and exploitation. It emphasizes the importance of addressing these challenges to protect the rights of stateless children, promote their self-confidence, and enable their holistic development. The article underscores the need for legal recognition, emotional support, education, legal protection, psychological education, and involvement in positive activities to enhance the self-confidence of stateless children.
Analysis of Wideband spectrum sensing using Anderson darling test statistics in underlay cognitive microcell
Authors: G. Kalaimagal
Published: April 2024

The most widely used sensing technique for detecting energy is due to its ease of use and lack of need for signal information beforehand. Traditional methods often employ a two-threshold strategy in low signal-to-noise ratio scenarios, which can lead to temporary detection outcomes when the signal's energy is between the low and high threshold values. This subsequently results in inadequate detection accuracy, characterized by a reduced probability of detection, which ultimately results in an extended duration of the spectrum sensing. The paper suggests enhancing the efficiency of spectrum sensing through the utilization of a modified version of the Anderson-Darling test statistic, as opposed to other test statistics.To detect the presence of licensed users in each subchannel from the base station, the cognitive user implements the Anderson Darling test statistics as a sensing technique. The proposed work involves the mathematical derivation of the Anderson-Darling test statistics under a bandwidth of 6MHz.The simulation outcomes show that the sensing technique presented in this research study achieved a detection probability of 0.963 at a false alarm probability of 1%, using a small sample size of 20 at a signal-to-noise ratio of  -20dB. This performance outperformed the other three detection algorithms.
Next-Generation Threat Detection and Mitigation in 6G Wireless Networks Using IAM, ZTNA and Advanced Security Mechanisms
Authors: S.Sankar Ganesh
Published: April 2024

As the deployment of 6G wireless networks looms on the horizon, the imperative to fortify their security infrastructure becomes increasingly pressing. One way to achieve this is through Identity and Access Management (IAM) frameworks to implement strong authentication and authorization mechanisms. Zero Trust Network Access (ZTNA) architectures advocate for a shift towards continuous verification and least-privileged access principles. Secure network segmentation and behavior anomaly detection systems limit the scope of potential breaches. Intrusion Detection and Prevention Systems (IDPS) detect and block cyber threats. These advanced security mechanisms improve the resilience of 6G networks and ensure the integrity, confidentiality, and availability of critical network assets. IAM protocols exhibit fast user authentication speeds with average authentication time of 0.5 seconds. ZTNA frameworks ensure high network security with a 98% detection rate of abnormal network behaviors
Real-time Classification of Brain States in Functional MRI Using Dynamic Connectivity Patterns and Machine Learning
Authors: Gnanajeyaraman Rajaram
Published: April 2024

Understanding real-time brain states facilitates deeper insights into cognitive processes, emotional responses, and neurological phenomena. It provides researchers with a dynamic view of brain function, aiding in the development of novel therapies, advancing neuroscience, and fostering innovations in brain-computer interfaces and artificial intelligence. The research aims to achieve real-time classification of brain states using dynamic connectivity patterns and Convolutional Neural Network (CNN) algorithms. It focuses on how demographic variables, such as brain volume and medication usage, influence classification accuracy. The study employs Python programming with FSL and Nilearn for preprocessing tasks like motion correction and dynamic connectivity pattern extraction. Feature selection and data partitioning are managed using Scikit-learn, ensuring standardized feature values and handling missing data. The CNN architecture is customized to handle spatial and temporal features in functional MRI (fMRI) data, with convolutional layers extracting spatial features representing local connectivity patterns. Dynamic connectivity matrices visualization aids in understanding brain network reconfigurations over time. This approach offers real-time insights into cognitive processes and neurological disorders, guiding personalized interventions for brain health. In result, connectivity matrices and 3D brain network visualizations are pivotal for unraveling brain state dynamics. Connectivity matrices unveil intricate interactions among brain regions across resting, task execution, and stress response states, offering quantitative insights into functional connectivity patterns. Meanwhile, 3D visualizations provide spatial representations, showcasing complex interplays and architectural changes across states.
Zero-Trust Cryptographic Protocols and Differential Privacy Techniques for Scalable Secure Multi-Party Computation in Big Data Analytics
Authors: C.Kanmani Pappa
Published: April 2024

This research explores the integration of zero-trust cryptographic protocols and differential privacy techniques to establish scalable secure multi-party computation in the context of big data analytics. The study delves into the challenges of collaborative data processing and presents a comprehensive framework that addresses the intricate balance between security, scalability, and privacy. The framework focuses on zero-trust cryptographic protocols, advocating for a fundamental shift in trust assumptions within distributed systems. Differential privacy techniques are then seamlessly integrated to preserve individual privacy during collaborative data analytics. This model employs a layered approach and distributed architecture and leverages serverless and edge computing fusion to enhance scalability and responsiveness in dynamic big data environments. This also explores the optimization of computational resources and real-time processing capabilities through serverless and edge computing fusion. A distributed architecture facilitates efficient collaboration across multiple parties, allowing for seamless data integration, preprocessing, analytics, and visualization. Privacy preservation takes centre stage in the big data privacy component of the framework. Context-aware attribute analysis, distributed federated learning nodes, and Attribute-Based Access Control (ABAC) with cryptographic enforcement are introduced to ensure fine-grained access control, contextual understanding of attributes, and collaborative model training without compromising sensitive information. Smart Multi-Party Computation Protocols (SMPCP) further enhance security, enabling joint computation of functions over private inputs while ensuring the integrity and immutability of data transactions. In essence, the achieved results manifest a paradigm shift where the layered approach, distributed architecture, and advanced privacy techniques converge to heighten data security, drive efficient computation, and robustly preserve privacy in the expansive landscape of big data analytics. Fault tolerance and resource utilization exhibit significant advancements, with fault tolerance experiencing a 10% boost and resource utilization optimizing by 12%. These enhancements underscore the robustness and efficiency of the system's design, ensuring resilience and optimized resource allocation.
Hiding Data using LSB in Combination with AES
Authors: Sultan Nora H.
Published: April 2024

In our increasingly digital age, steganography has emerged as one of the most trustworthy methods for the transmission of confidential information. This new research improves upon earlier LSB approaches by demonstrating how they may be utilized to efficiently encode secret data into a covert object without causing any obvious distortion. This opens the door for future applications of these methods. A safe data-hiding model will be produced by combining LSB-based steganography with AES; an LSB-based AES-256 encryption has been created and implemented in MATLAB.First, encrypted picture data is produced by encrypting the original image using a 256-bit AES technique. This process takes place before the image is used. The subsequent step includes sending a LSB-based steganography picture to the objective, which additionally contains the scrambled information. Interpreting the steganography picture information and reestablishing the first picture have both been achieved through the work of a similar strategy at the less than desirable finish of the transmission. We have examined and assessed an expansive range of sources of info and results from a few emphasess of the procedure applied to an assortment of picture information types. It is feasible to involve it in numerous useful cryptography applications to go through with steganography picture exchanges in a safer way.
Exploring the Reform of Piano Course Teaching based on AGIL Model
Authors: Xueying Liu
Published: April 2024

University music performance majors are strongly encouraged to take a piano fundamentals course as one of their necessary foundational topics. For college music achievement majors, it is very crucial to develop and raise students' piano playing proficiency and expertise. For the analysis and creation of complex systems, the AGIL model serves as a theoretical framework. This model may be used to create a complete methodology for piano instruction that emphasizes the growth of the student's flexibility, goal achievement, skill integration, and pause in action. Learning to play the piano may test these connections in the brain that control movement in students and people with poor motor abilities, and it can even improve coordination. Thus, we suggested the AGIL model for the reform of piano course teaching to further encourage the creative growth of piano instruction for music majors in colleges and universities in a diverse environment. The dataset used was made up of Chinese piano students. The performance measures used to assess suggested efficacy include ideal teaching, student performance, note-reading skill, teamwork ability, and student support rate. The evaluation's results indicate that the AGIL approach has provided 98.5% which seems to be useful for improving students' piano skills.
Optimizing Underwater Vision: A Rigorous Investigation into CNN's Deep Image Enhancement for Subaquatic Scenes
Authors: Shubhangi N. Ghate
Published: April 2024

In this paper, Convolutional Neural Networks were used to enhance the visual fidelity of underwater images. The UWCNN is introduced in this article, which utilizes underwater scene priors and a CNN model to improve underwater photos. The UWCNN model proposes a method where the clear latent underwater image is immediately rebuilt using the underwater scene as training data, rather than relying on parameter guessing in an underwater imaging model. Our UWCNN model may be used for frame-by-frame augmentation in underwater videos because to its lightweight network structure and efficient training data. In this dataset for underwater image deterioration by integrating an underwater photography physical model with optical characteristics of underwater landscapes are provided which includes a wide range of water types and degradation levels. Alternatively, one might choose to go light. A Neural Network (CNN) model is constructed using the related training data in order to enhance the quality of underwater scenes. Ultimately, the UWCNN model is used to improve the quality of underwater videos. The efficacy of our technology is shown via the analysis of both authentic and synthetic underwater photos.
AIA4ALL
Authors: Preisler Anita , Schoisengeier Sama , Zucker Gerhard , Stipsits Alina
Published: April 2024

Digital planning today is based on Building Information Modelling (BIM); this method greatly profits from the approach of defining use cases that lead through the process. As such, a use case for functional tests of the Heating Ventilation and Air Conditioning (HVAC) systems is currently being developed that begins in design development phase of the planning process. Additionally, a use case concerning the linkage between open BIM and the dynamic simulation software IDA ICE is also under development. First results of these use case developments will be presented in this work, along with the challenges of working in open BIM environment using the open BIM standard Industry Foundation Classes (IFC).
Distal femoral replacement for the treatment of periprosthetic distal femoral fractures around a total knee arthroplasty: a meta-analysis
Authors: Wood Matthew J , Al-Jabri Talal , Stelzhammer Thomas , Brivio Angela , Donaldson James , Skinner John A , Barrett David
Published: April 2024

Background

Periprosthetic fracture is a rare complication of arthroplasty but can have devastating consequences for the patient and presents a complex surgical challenge. Locking compression plate and retrograde intramedullary nail are both widely accepted surgical fixation techniques for distal femoral periprosthetic fractures around a total knee arthroplasty. Although there is still a need for further high-quality research into both techniques, there is even less literature concerning the use of distal femoral replacement to treat distal femoral periprosthetic fractures. Interest has been piqued in distal femoral replacements for the treatment of distal femoral periprosthetic fractures due to the theoretical advantages of immediate post-operative weight-bearing and lack of dependence on fracture union, but there are still understandably reservations about performing such an extensive and invasive procedure when an accepted alternative is available. This meta-analysis aims to evaluate the current literature to compare the complication rates and return to pre-operative ambulatory status of distal femoral replacement and locking compression plate.

Method

A literature search was performed to identify articles related to the management of distal femoral periprosthetic fractures around a total knee arthroplasty in adherence to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist. Methodological quality was assessed using the methodological index for non-randomized studies (MINORS) criteria. Articles were reviewed, and data extracted for analysis.

Results

Five articles met the inclusion criteria, reporting on 345 periprosthetic fractures. The overall rates of complications for distal femoral replacement and locking compression plate were: re-operation (6.1% vs 12.1%), infection (3.0% vs 5.3%), mortality (19.7% vs 19.3%), and return to pre-operative ambulatory status (60.9% vs 71.8%) (respectively).

Conclusion

This meta-analysis shows no statistically significant difference in the rates of re-operation, infection, mortality or return to pre-operative ambulatory status when comparing distal femoral replacement to locking compression plate.
From jerry cans to rain harvests: Rwanda’s water revolution
Authors: Zimmermann Karl
Published: April 2024

Collecting water in Gisasa village meant climbing to a mountaintop crater lake. But a recent pipeline and water tank brought water access to the village centre, while rainwater harvesting across Rwanda is poised to bring water access even closer to home.
Smart Little Campus Food Pantries: Addressing food insecurity at Virginia Commonwealth University
Authors: Jones John , Linkous Lauren , Mathews-Ailsworth Lisa , Vazquez-Miller Reyna , Chance Elizabeth , Carter Jackie , Saneda Isaac
Published: April 2024

Food insecurity among college students is an emerging public health issue, affecting a considera­ble proportion of the student population nation­wide, approximately 35–45%. Research is discover­ing links between college student food insecurity and physical and mental health, as well as academic performance. Such high prevalence of student food insecurity highlights the urgency of addressing the lack of consistent access to nutritious food. This research examines a pilot intervention at an urban public university that deployed miniature food pan­tries across campus from which anyone could take food anonymously. The research team systemati­cally restocked these pantries with food on a weekly basis for nearly two school years. Sensors installed in the pantries collected instances when individuals “interacted” with the pantry’s door. The sensor system documented thousands of interac­tions with the pantries each school year. As such, the intervention can be considered a success. How­ever, the miniature pantry model was not without flaws: its decentralized nature created challenges for the research team, the sensor system was often unstable, and heavy reliance on undergraduate stu­dents proved a long-term problem. The research team believes that administrative and information technology improvements could further enhance the model’s ability to mitigate campus food insecu­rity. This intervention could be an inspiration to other campuses and other institutions considering similar strategies.
OPTIMIZING NURSING STAFFING RATIOS TO MAXIMIZE CARE QUALITY IN LONG-TERM SETTINGS
Authors: Al Anzi Mariam Saud Lawizan , Alshammre Fadah Rammdan , Alanzi Mona Mohammed , Alharthi Zohur Abdullah , Alanazi Ashwaq Jamal , Alanazi Yasmine Hassan Asmar , Al-Shammari Shuaa Badr Azm , Al Anazi Maryam Khudhayr Mahl , Aljameeli Shaimah Maseer , Algamily Shamma Maseer Nasser
Published: April 2024

2Improving patient safety and care quality in long-term care (LTC) settings requires maintaining ideal nursing staffing ratios. This study examines the complex link between nursing staffing levels and care outcomes in long-term care (LTC) facilities by synthesizing findings from an extensive literature analysis and empirical investigations. The study of the literature emphasizes how important registered nurse staffing is in determining the standard and effectiveness of patient care. Concerns raised by nurses regarding dangerous staffing ratios in long-term care institutions emphasize how urgent it is to solve staffing issues in order to reduce hazards and enhance safety. Systematic evaluations highlight the requirement for sufficient staffing to prevent care delivery omissions by showing a consistent correlation between nurse staffing levels and missed nursing care. Empirical studies also show how staffing affects turnover rates, which emphasizes the significance of staffing ratio optimization for improving service continuity and quality in long-term care settings. This research offers useful insights into the intricate interactions between nursing staffing ratios, patient safety, and care quality in long-term care (LTC) facilities by combining evidence from various studies. As a result, policymakers, administrators, and healthcare providers can use this information to optimize staffing practices and enhance outcomes for LTC residents.
Forex Reserves: A Catalyst for Economic Sustainability
Authors: Mishra Yogesh , Prof. Prof.
Published: April 2024

The intersection of foreign exchange reserves allocation and the pursuit of Sustainable Development Goals 8 (SDG 8) stands at the forefront of contemporary economic discourse. This research paper conducts a comprehensive analysis aimed at understanding the intricate relationship between countries' Foreign Exchange Reserves and their progress toward achieving sustainable development. Through quantitative analysis, this research evaluates the alignment of foreign exchange reserves with SDGs 8 by identifying the linkage between Forex and GVA. The findings reveal valuable insights into the patterns of foreign exchange allocation and their significance for sustainable development initiatives. Moreover, this research offers a clear perspective for optimizing foreign exchange reserve management to better serve the aspirations of sustainable development. This study offers a vital framework for policymakers, economists, and transnational institutions striving to harmonize economic stability with sustainable development priorities on a global scale. Granger Causality test have been considered for Quantitative analysis of data.
Assessing The Impact Of Abusive Supervision On Counterproductive Work Behavior Among Healthcare Workers
Authors: Suwaydi Eyad Abdu Ahmed , Madkhali Thamer Abdulrahman , Babkair Basim Adnan , Alhazmi Ashraf Dakhillah , Hazazi Bashaier Abdulrahman , Alqarni Abdulkhalq Hassan Bishi , Alahmadi Waad Abdallah Dakhil , Aljuied Manal Juwaybir , Almalki Haitham Ahmed , Mahzari Abdu Mohammed Hassan , Tumbokty Fatma Abdul Hadi Abdul Rahman Al , Babalghaith Ahmed Suleiman , Harbi Mohammed Jameel Al , Almalki Ali Hamed , Albassisi Layla Hassan , Khawaji Mohammed Mahdi Ali , Otaibi Saod Obeed AL
Published: April 2024

Background: Abusive supervision is the subordinates’ perceptions of the extent to which their supervisors engage in the sustained display of hostile verbal and nonverbal behaviors. Also, abusive supervision hurts the organization causing lower levels of satisfaction, commitment, and counterproductive work behavior. Aim: Assessing Healthcare workers' perception level regarding abusive supervision, assessing the level of Healthcare workers' counterproductive work behavior, and finding out the influence of perceived abusive supervision on counterproductive work behavior among Healthcare workers. Research design: A descriptive correlational study design was used. Setting: The study was conducted at the Saudi German Hospital in Makkah, KSA. Subjects: (171) HCWs out of (300 participated in the study. Tools of data collection: Abusive supervision scale and counterproductive work behavior scale. Results: The majority (94%) of the studied participants perceived a high level of abusive supervision, and only 2% of them perceived a low level of abusive supervision from their supervisors. Also, less than two-thirds of them (65%) had moderate counterproductive work behavior, while only (15%) of the study participants had high levels. Conclusion: There was a strong positive relation between Healthcare workers' perceived abusive supervision and their counterproductive work behavior. Recommendations: healthcare managers must take corrective disciplinary approaches, actions, and strategies against supervisory abusive behavior and counterproductive behavior. Healthcare managers have to provide the employees with a favorable healthy professional work environment, which helps to overcome any counterproductive work behaviors.
Students’ attitudes towards reading through teacher’s point of view
Authors: Mavrova Aglaya
Published: April 2024

The article traces teachers’ opinions about their students attitude to reading. For this purpose, a qualitative research was carried out by a questionnaire. 22 teachers from three cities (Sofia, Burgas, Stara Zagora), teaching Bulgarian language and literature or Russian language in the first and in the second high school level have joined in survey. The article presents the results of the most indicative questions for the realization of our goal. During the process of interpreting the survey data we have revealed troubling trends, but also a tendency of slow but sure revival of a passion for reading. Declared lines of reasoning lead us to proposed solutions, which must overcome enormous resistances of different types.
Up the staircase of reading
Authors: Elenkova Vessela
Published: April 2024

The article addresses the “lowest floors“ of reading skills, in an attempt to formulate assumptions as to the conditions that can be provided by school and family together, so that some reading difficulties may be overcome. In addition to “evidence”: qualitative research of particular aspects of reading as opposed to the overall act of reading, the “lowest floors” are also seen to include the skill level of the reader. Our work takes its bearings from the understanding that “closing gaps” inside the boundless field of various research on reading could be productive for educational practice, as well as that “upper floors”: interpretation skills, influence directly the identity formation of adolescents, such that they will be in their lives as adults. Given parental participation, we would be interested mainly in leverage points ways of compensating reading difficulties.
Professional Voice Care: A Team Approach
Authors: Yeakel Heather , Martha Vishnu , Sataloff Robert T.
Published: April 2024

Abstract: Traditionally, doctors in most specialties work in relative isolation, frequently caring for patients alone or with just a nurse. State-of-the-art care for voice disorders involves a multidisciplinary model that has evolved since the 1980s. Optimal care includes not only a laryngologist who specializes in voice, but also a skilled speech-language pathologist, singing voice specialist, nurse clinician and/or an extended care provider such as a nurse practitioner or physician assistant; and arts medicine specialists in numerous other disciplines including pulmonology, endocrinology, gastroenterology, psychology, psychiatry and many other fields. Voice problems in singers are diagnosed and resolved most efficiently in an integrated team setting.
АБАЙ ӨЛЕҢДЕРІНДЕГІ ӘДЕБИ ЛАНДШАФТ ЖӘНЕ ҚАЗАҚ ТҰРМЫС САЛТЫ
Authors: Әубәкір Ж.М. , Асқарова А.Ш.
Published: April 2024

Мақалада Абайдың философиялық көзқарастары мен көркем ойларына өзін қоршаған орта мен өмір сүрген мекенінің әсері, оның шығармаларында табиғат пейзажының көрініс табуы, тұтас әдеби ландшафт аллеясының жасалуы қарастырылған. Пейзаж, табиғат және әсемдік құбылыстарының арақатынасына назар аударылып, Абайдың туған жерінің орналасу масштабы және ғалымдардың идеялары зерделенген. Ландшафт пен суретшіні байланыстыра зерттеу арқылы өнер иесінің жоғары қабілеттілік деңгейі мен кең ауқымды білімі айқындалған. Хакім Абайдың қоршаған ортамен байланыстыра адами болмыстың ерекшеліктерін танытқан  дүниетаным көкжиегі   сипатталады. Абай поэзиясындағы ландшафттар көрінісі – ақын  шеберлігінің көрсеткіші. Сонымен қатар, мақалада әдебиеттегі ландшафттар әдеби және географиялық кеңістіктердің өзара әрекеттесу нәтижесінде қалыптасу  түрлері, яғни мағыналық жағынан аймақтық және жеке әдеби ландшафттардың ерекшелік түрлері сипатталған. Абай өлеңдеріндегі әдеби ландшафттар ұлттық әдеби-географиялық және образдың әдеби-географиялық кеңістіктің локусы тұрғысынан қарастырыла сараланған. Теориялық негіздеме әдеби ландшафтты құруда эмоциялардың қозғаушы күш ретіндегі маңыздылығын және ландшафтты «бір жердегі» нәрсе емес, адамның ішкі ойын мен жан дүниесін танытатын құбылыс ретінде түсіну қажеттілігін көрсетеді. Абай поэзиясындағы табиғат және әлеуметтік тақырыбындағы өлеңдерін ландшафт аясында зерттеуде компаративистикалық, салыстырмалы-тарихи тәсіл және герменевтикалық талдау әдістері қолданылды.
ETHNOCULTURAL VALUES IN CONTEMPORARY KAZAKH POETRY: (based on the work by poet A. Shegebay)
Authors: Amankulova L.А. , Kospagarova A.K. , Eker G.Ö.
Published: April 2024

This article delves into an examination of the ethnocultural values prevalent among Kazakh people, drawing insights from the corpus of modern Kazakh poetry. Specifically, the works of the esteemed poet A. Shegebay are scrutinized within the context of ethnocultural values. The significance of investigating national values and ethnocultural worldviews through the lens of poetry is paramount. The phenomenon of globalization and the political transformations witnessed in modern Kazakh history have left an indelible mark on the nation's culture, spirituality, and, notably, its poetry. Embedded within the fabric of Kazakh society are enduring moral precepts, transmitted across generations, which constitute the bedrock of national values. The language, mindset, customs, literature, and artistic expressions of v collectively represent a reservoir of spiritual wealth that has been meticulously preserved through the ages. It is through these spiritual moorings that the national and cultural identity of the Kazakh populace finds its enduring anchor. Against this backdrop, this article undertakes a meticulous analysis of select poems by A. Shegebay, namely "Besik," "Kara Shanyrak," "Kokpar," and "Taba Nan," from the vantage point of ethnocultural values. It is recognized that the essence of any people and their worldview are inexorably shaped by national and cultural constructs, finding eloquent expression in poetry as the quintessential vehicle for the collective consciousness of a people. Through empirical investigation, this study identifies and delineates the national-cultural concepts embedded within contemporary Kazakh poetry. Moreover, it discerns that the character of the ethnocultural worldview articulated in Kazakh poetry is a product of historical, social, and individual factors. The ideological and thematic contours of Kazakh poetry in the age of globalization are thus discerned to be intricately entwined with ethnocultural values and the collective identity of the nation.
REFLECTION OF MYTHICAL PLOTS IN CHILDREN'S GAME FOLKLORE
Authors: Mukhamediyar А.К.
Published: April 2024

It is known that the conscious beginning of the cultural life of any nation is rooted in a myth. From a historical point of view, myth is the first spiritual and cultural form of human consciousness and retains its leadership character to this day. The golden core of every culture is a value system fueled by a mythical worldview. In other words, a myth is a complex worldview closely related to the laws of formation of each culture. The myth depicts the inner spiritual movement of the conscious life of mankind and its relationship with the surrounding nature and the social environment. The myth is reflected in culture as a whole as a model of the world in human consciousness. Mythical narratives arise from the purpose of depicting the world, which raises various questions in people's minds, as compensation for the need to create a complete model by improving unfinished parts of the world that have not yet been "realized" by mythical consciousness. For example, he explains countless questions in his own way, for example, how heaven and earth, the sun and the moon, humanity and animals, and other natural phenomena appeared, thereby creating a mythical model of the world in human consciousness. The article shows that such a representation of real life is the main form of mythical consciousness. In addition, game elements in any myth are analyzed and described. The purpose and objective of the article are to distinguish mythical plots in children's game folklore and emphasise game elements. It is determined that the meaningful and structural commonality of the game with the myth is clearly visible, primarily in children's play.
«ТҰЛПАРДЫҢ ІЗІ» ФИЛЬМІ МЕН СЦЕНАРИЙІНДЕГІ КӨРКЕМДІК ДЕТАЛЬДАР: ФОТОСУРЕТТІҢ ДРАМАТУРГИЯЛЫҚ МАҢЫЗЫ
Authors: Мұқышева Н.Р.
Published: April 2024

Бұл мақалада көркемдік деталь дегеніміз не, өнер, оның ішінде кинематограф шығармаларының құрылымындағы қызметі қандай деген сұрақтар бойынша зерттеу жасалады. Көркемдік детальдың әдебиет пен өнердің, соның ішінде кинематографтың кез келген шығармасының драматургиясында атқаратын қызметі өте зор. Бұл орайда детальдың драматургиялық қызметі аясының кеңдігіне, оның шығарманың тек тақырыбы пен идеясының ғана емес, кейіпкер бейнесінің ашылуына да аса ықпал ететініне назар аудару қажеттілігі туындайды. Сондай-ақ кейіпкердің ішкі әлемі мен сыртқы әлемнің өзара байланысын көрсетуде, белгілі бір көрініс немесе эпизодтың, тіпті тұтас шығарма мазмұнының ашылуында көркемдік детальдың маңызы зор екені белгілі. Осы ретте қазақ киносының классикалық шығармаларының бірі – «Тұлпардың ізі» фильмі мен оның сценарийіндегі (1964, сценарий авторы: Әкім Тарази, режиссері: Мәжит Бегалин) көркемдік детальдардың бірі – фотосуреттің драматургиялық маңызы егжей-тегжей қарастырылады. Мақала авторы әдеби сценарийдің барлық нұсқасындағы («Жанарымда – Шолпан жұлдыз» / «Вижу Венеру», «Жазира», «Тұлпар») фотосуреттің көрінісін сараптай келе, оның кейіпкер бейнесінің ашылуындағы рөлі мен драматургиялық маңызына назар аударады. Әдеби және режиссерлік сценарийдегі фотосуреттің драматургиялық маңызының фильмнің көркемдік құрылымында қаншалықты өзгерген-өзгермегені егжей-тегжей талданады. Сондай-ақ, мақалада фотосуреттің фабулалық, психологиялық, мазмұндық және метафоралық деталь ретіндегі драматургиялық қызметі сарапталады.
ЖҰМАҚЫН ҚАЙРАМБАЕВТЫҢ БҮГІНГІ ҚАЗАҚ КЕСКІНДЕМЕСІНДЕГІ «IZDERI»
Authors: Ыдырыс З.А. , Ақсақалова Ж.А. , Қарабалаева Б.Р.
Published: April 2024

Мақалада бүгінгі қазақ бейнелеу өнерінің көшбасын бастаған дара тұлғалардың бірі – Жұмақын Қайрамбаев пен оның шәкірттерінің шығармашылығы жан-жақты зерттелген. Ж.Қайрамбаев еліміздің тәуілсіздік жылдарындағы кескіндеменің дамуына зор үлесін қосқан, өзіндік дара қолтаңбасын қалыптастырған, қырық жылға жуық педагогикалық қызметінде бүгінгі қазақ кескіндемесінде заманауи мәнерімен, тың ізденістерімен көзге түсіп жүрген бір топ ізденімпаз суретшілердің бірнеше буынын тәрбиелеген суретші. Ол соңғы жиырма жылда өзінің кәсіби шығармашылығы мен педагогикалық қызметін сабақтастыра отырып шәкірттерімен бірге «IZDER» атты 4 көрме ұйымдастырды. Аталған көрмелердің барлығы көрермен тарапынан үлкен қолдау тауып, қоғамның аса өзекті мәселелерін өнердің көркемдік тілінде шебер жеткізе білді. Қайрамбаева Дарья, Хасенов Әшім, Үмбетова Құралай, Даубай Ұлан,  Абутәліп Ерназар, Омархан Құмар, Нұрахмет Нұрбол, Орақбай Алмас, Әсемқұл Бейбіт, Аубакир Анар, Чукитаева Зарина, Нұрғожа Алмас, Сейсенханұлы Бақыт, Қабөке Оралбек, Сағындық Мөлдір сынды осы көрмеге қатысқан шәкірттері қазіргі таңда отандық кескіндемедегі шығармашылығы сұранысқа ие белсенді әрі  ұстаздықты серік еткен жас суретшілер ретінде белгілі. Шәкірт тәрбиелеу арқылы өзіндік көркемдік ізденістерінің дара ізін айқындайтын мектеп қалыптастырып үлгерген суретші әрбір шәкіртінің өзіндік көркемдік бағытын, қолтаңбасын, ерекшелігі мен мәнерін ұштап шыңдай түскен. Әсіресе соңғы көрмеге қойылған жұмыстардан ұстаз бен шәкір арасындағы рухани сабақтастықпен қатар шәкірттің ұстазға, ұстаздың шәкіртіне деген үлкен құрметі көрмеге қойылған жұмыстардың әрқайсысының жеке даралығы, авторлық ерекшеліктері арқылы аңғарылды.
A Study of Consumer Health Food Purchase Intentions Based on fsQCA Methodology in TPB Framework
Authors: Hu Xiaochen
Published: April 2024

In order to reveal the correlation path of consumer health food purchase intentions and to guide the benign development of healthy diet concepts, 310 samples were selected and research was carried out on consumer health food purchase with TPB theory as the core framework. The article replaces behavioral attitude (traditional variable in the TPB model) with perceived value, introduces a new variable: food information, and conducts a configuration analysis on four variables. The study found that: (1) Subjective norm constitutes a necessary condition for health food purchase intentions. (2) When subjective norm is high, other three antecedent conditions: perceived value, food information, and perceived behavioral control have a relationship of mutual substitution, i.e., they are equivalent in terms of results on health food purchase intentions. (3) There are three sufficient configurations that can stimulate the emergence of health food purchasing behavior, including autonomous perceived type, externally restricted type, and information-influenced type. This program not only improves and enriches the variables in the Theory of Planned Behavior (TPB), but also makes up the fact that health food purchase intention is the result of the joint influence of many factors——which is neglected by traditional quantitative method. Since the subjects tested are concentrated in first-tier cities, further support from other research samples is needed for the generalizability of the above conclusions.
Exploring the Factors Influencing China's Foreign Exports
Authors: Xue Yuzhong
Published: April 2024

Since the reform and opening up, China's foreign trade has developed rapidly. Exploring the factors that have a positive impact on exports can optimize the industrial structure of foreign trade, improve the international competitiveness of foreign trade, promote the high-quality development of China's foreign trade, further expand the competitive advantage of exports, enhance the vitality of the foreign trade industry, and enable foreign trade to better assist the development of China's national economy.
Strategies and pros and cons of financial marketing by Bank of China- A brief analysis of the promotion process of the digital renminbi
Authors: Yan Yifeng
Published: April 2024

In response to national policies, Chinese banks have strongly promoted the use of the digital renminbi, employing various financial marketing tactics in the process, and have achieved remarkable results, but there are still some minor downsides.