bluuebunny/crossref_metadata_2025 huggingface dataset:
The role of industry convergence in promoting the development of cultural and creative tourism under the background of data convergence
Authors: Qin Nan
Published: August 2024

Under the background of globalization, cultural and creative tourism has gradually become a new trend of tourism, providing tourists with rich and diverse travel experience. This paper discusses the development status, characteristics and integration strategies of cultural and creative tourism under the new normal. Through the analysis of the existing literature, it is found that cultural creative tourism not only brings economic benefits to the region, but also promotes the protection and inheritance of local culture. At the same time, technological advances and data convergence provide new opportunities for the promotion and management of cultural and creative tourism. But it also brings challenges, such as how to ensure sustainable development and how to meet the growing demand of tourists. Finally, based on the method of multiple linear regression analysis, the paper analyzes the factors that affect the development of cultural creative tourism.
Data or mathematics? Solutions to semantic problems in artificial intelligence
Authors: Bu Weijun
Published: August 2024

Data support is already driving the development of artificial intelligence. But it cannot solve the semantic problem of artificial intelligence. This requires improving the semantic understanding ability of artificial intelligence. Therefore, a question answering system based on semantic problem processing is proposed in this study. The question answering system utilizes an improved unsupervised method to extract keywords. This technology integrates the semantic feature information of text into traditional word graph model algorithms. On this basis, semantic similarity information is used to calculate and allocate the initial values and edge weights of each node in the PageRank model. And corresponding restart probability matrices and transition probability matrices are constructed for iterative calculation and keyword extraction. Simultaneously, an improved semantic dependency tree was utilized for answer extraction. The improved keyword extraction method shows a decreasing trend in P and R values. The improved answer extraction method has a maximum P-value of 0.876 in the training set and 0.852 in the test set. In a question answering system based on keyword and answer extraction, the improved method has lower loss function values and running time. The improved method has a larger area under ROC. The results of the validation analysis confirm that the improved method in this experiment has high accuracy and robustness when dealing with semantic problems.
Clustering algorithm for remote information transmission of IoT sensor nodes
Authors: Mei Qian , Zhang Peng , Si Zhiyong
Published: August 2024

Internet of Things development is of great significance for modern society progress. However, the limited information in some areas with incomplete infrastructure restricts Internet of Things development, so the long-distance information transmission task of sensor nodes needs to be put on the agenda. The research introduces beamforming technology for clustering wireless sensor nodes, and proposes a clustering algorithm based on wireless sensor node’s energy consumption rate for nodes energy management to achieve remote information sharing and transmission. The results confirm that the success rate of clustering algorithm based on beamforming event triggering increases with node density increasing, and the success rate is infinitely close to 1. In addition, when the sensor node is 120, the average charging delay time based on machine learning energy consumption prediction is only 946 seconds, which is reduced by 521 seconds compared to the Mean-shift algorithm. When sensor node is 120, the algorithm has a successful access count of up to 1288 times. These two clustering algorithms have good clustering performance and significant practical application effects, providing reliable technical support for remote data transmission in the modern Internet of Things.
Global industrial cultural heritage protection and mining strategies based on big data
Authors: Li Yanxue , Ma Xiaohang , Song Jianwei
Published: August 2024

With the continuous advancement of the global industrialization process, industrial cultural heritage has gradually attracted the attention of all parties, but its protection and excavation still face multiple challenges. The purpose of this study is to explore the conservation and mining strategies of global industrial cultural heritage based on big data. Through a comprehensive analysis of the value and status quo of industrial cultural heritage, this study integrates multi-source data and constructs a big data processing and analysis model by using the questionnaire method. The research results show that big data has significant application potential and practical value in the protection of industrial cultural heritage, and can provide more accurate and personalized protection strategies. Based on the data analysis, this study further proposes a series of practical conservation and excavation strategies to provide strong support for the sustainable development of industrial cultural heritage. This comprehensive analysis and practical recommendations are expected to advance scientific research and policy implementation in this area.
Application of deep learning in career planning and entrepreneurship of college students
Authors: Zhang Ning , Wu Chunyan
Published: August 2024

With the continuous development of deep learning and artificial intelligence, its application potential in the field of education has attracted wide attention. This study mainly discusses the application of deep learning in college students’ career planning and entrepreneurship. First, through a comprehensive review of existing literature, the gaps and challenges of current research are revealed. Subsequently, empirical research methods were used to collect data on college students’ attitudes and feelings towards deep learning in career planning and entrepreneurship. This study develops and validates a model that predicts how deep learning interventions affect college students’ career choices and entrepreneurial intentions, while also proposing a series of strategic recommendations. The findings suggest that deep learning can be used as an effective tool to help college students better plan their careers and enhance their entrepreneurial abilities. This study not only provides a new perspective for theoretical research, but also provides useful insights and tools for practitioners.
SDN-based security low-latency data storage and distribution scheme for industrial Internet of Things
Authors: Zhang Kewang , Shu Zhixu
Published: August 2024

For the problem that massive data and cloud computing in the industrial Internet of Things cannot meet the requirements of low latency, a cloud hybrid network architecture is proposed. In the single user scenario, RS coding is used to realize data redundancy, and the security evaluation method is put forward on this basis. By using the ant colony algorithm, the data transmission delay and security objective function are established to obtain the best allocation scheme. In the multi-user scenario, the SD-CFIIoT architecture is constructed by combining SDN and fog computing technology. The optimal solution is found by applying the ant colony algorithm to solve the objective function of the data transmission delay. Simulation results show that when the security constraint is 0.9, the data transmission delay of RS is 5.04 s, which is 0.18 s less than LDPC; 0.19 s less than MBR. When the safety constraint is 0.9, the delay of the cloud mixed structure is 5.82 seconds; 1.53 seconds less than the cloud core structure and 1.20 seconds less than the fog core structure. When the data volume reached 80 MB, the delay of SD-CFIIoT was 2.20 s, 6.61 s lower than the fog structure and 15.80 s lower than the cloud structure. The simulation results prove the effectiveness of the proposed scheme, which can ensure data security while realizing low delay data transmission, improve the efficiency of the Internet of Things, and then improve the industrial production efficiency. This has a certain positive significance to the industrial modernization and intelligent development.
Evaluation of translation quality of English literary works based on big data
Authors: Liu Yuan , Dong Fang
Published: August 2024

With globalization and technological progress, the demand for language translation is increasing. Especially in the fields of education and research, accurate and efficient translation is considered essential. However, most existing translation models still have many limitations, such as inadequacies in dealing with cultural and contextual differences. This study aims to solve this problem by combining big data analysis, machine learning and translation theory, and proposes a comprehensive translation quality evaluation model. On the basis of screening and constructing a representative sample database, pre-processing and standardization, feature selection is carried out by combining multi-dimensional features such as grammatical complexity and cultural adaptability factors, and different machine learning algorithms are used for model construction and parameter optimization. Finally, by training and testing the model, the performance and effectiveness of the model are evaluated, and a comprehensive evaluation standard is constructed. The results show that this model can not only effectively improve the translation quality, but also has a high system application and universality.
Music emotion recognition using deep convolutional neural networks
Authors: Li Ting
Published: August 2024

Traditional music emotion recognition (MER) faces problems such as lack of contextual information, inaccurate recognition of music emotions, and difficulty in handling nonlinear relationships. This article first used long short-term memory (LSTM) networks to capture global information and contextual relationships of music. Subsequently, the DCNN was chosen to process sequence data and capture global dependencies to improve the accuracy of MER. Finally, a MER model was constructed based on DCNN to recognize and classify music emotions. This article obtained the impact of different parameter values on model training iterations by adjusting hyperparameters related to training. The optimal values for learning rate μ, momentum coefficient α, weight attenuation coefficient γ, and Dropout coefficient were 0.01, 0.7, 0.0003, and 0.5, respectively. The DCNN used in this article was iteratively trained with recurrent neural networks, convolutional recurrent neural networks, and transform domain neural networks for audio spectrograms, and the results were compared. The experimental findings indicated that the spectral recognition accuracy of DCNN was stable at 95.68%, far higher than the other three different networks. The results showed that the DCNN method used in this article could more accurately distinguish different negative emotions and positive emotions.
The microblog sentiment analysis based on latent dirichlet allocation and deep learning approaches
Authors: Ma Xiaowen
Published: August 2024

To study the application of convolutional neural networks (CNN) in microblog sentiment analysis, a microblog sentiment dictionary is established first. Then, latent Dirichlet allocation (LDA) is proposed for user forwarding sentiment analysis. The sentiment analysis models of CNN and long short-term memory network (LSTM) are established. Experiments are conducted to verify the application effect. The main contributions of this work encompass the establishment of a sentiment lexicon for Weibo, the optimization of two sentiment analysis models, namely CNN and LSTM, as well as the comparison and analysis of the performance of three sentiment analysis approaches: CNN, LSTM, and LDA. The research findings indicate that the CNN model achieves a prediction accuracy of 78.6% and an actual output precision of 79.3%, while the LSTM model attains a prediction accuracy of 83.9% and an actual output precision of 84.9%. The three analysis models all have high sentiment analysis accuracy. Among them, LDA analysis model has the advantages of universality and irreplaceable in text classification, while LSTM analysis model has relatively higher accuracy in sentiment analysis of users forwarding microblog. In short, each sentiment analysis model has its own strengths, and reasonable allocation and use can better classify microblog sentiment.
Seismic response of urban viaducts with different bearings
Authors: Gao Lin , Wang Mingzhen
Published: August 2024

In order to research the influence of bearing arrangement on the seismic response of urban viaduct, the 4 × 30 m standard span and C ramp bridge of the main line are taken as the engineering background. The SeismoStruct software is used to establish and analyse the seismic responses. For the standard span of the main line, under the same ground motion input, the internal force of the pier for the seismic isolation system is reduced by about 1 to 4 times compared with the ductile seismic system, but the displacement of the piers or the bearings are relatively large, and the overall cost of the structure is high. For the C ramp bridge, the shear force, axial force and pier displacement with all lead-core rubber bearings are lower than those with fixed bearings. From the perspectives of structure seismic response, post-earthquake repair and engineering economy, it is suggested that the viaduct of the standard span should adopt the plate type rubber bearing, and the C ramp bridge should adopt the fixed bearing.
Crack detection method for concrete surface based on feature fusion
Authors: Hong Cheng
Published: August 2024

In recent years, detection methods based on deep learning have received widespread attention in the field of concrete crack detection. In view of the shortcomings of traditional image detection methods, a concrete crack detection method based on feature fusion is proposed. The Fourier frequency domain processed image is used as the input of the deep learning neural network. The original time domain image and the frequency domain image are respectively input into two feature extraction modules to extract high-level features, and then the two features are fused to fully characterize the characteristics of the time domain and frequency domain, and finally the concrete crack detection results of the feature fusion are obtained. The performance of the proposed method is compared with VGG-16, AlexNet and DenseNet. Experiments show that the accuracy of the proposed method is higher than VGG-16, AlexNet and DenseNet. The proposed method has good results in concrete crack detection. To verify the generalization ability of the proposed model, the Concrete Crack Images for Classification data set was input into the proposed model for testing. The experimental results show that the proposed model has good generalization ability.
An effective accurate lung nodule detection of CT images using extensible hunt optimization based deep CNN
Authors: Kaulgud Rama Vaibhav , Patil Arun
Published: August 2024

Lung cancer patients’ chances of survival can increase with early detection. For the diagnosis of lung cancer, precise lung nodule identification in computed tomography (CT) images is crucial. The variety of the lung nodules and the complexity of the surroundings, however, have made robust nodule identification a challenging problem. To address this challenge, the Extensible Hunt Optimization-based deep Convolutional Neural Network classifier (EHO-deep CNN), is developed in this research for detecting the lung nodules present in the CT images. The proposed model in which the preprocessing is performed through the median filter to eliminate the artifacts in the image. Specifically, the images are segmented by adopting the centralized superpixels segmentation-based iterative clustering (CSSBIC) technique that enhances the accuracy of segmentation. The proposed approach relies on the GLCM and the VGG16-based feature extraction to explicate the discrimination of the lung nodule features. In addition, the retrieved features are combined and fed forwarded to the Deep CNN classifier that is optimally tuned via the EHO algorithm. The EHO algorithm is developed by fusing the fitness function of Border collie dogs with the hunting characteristics of Dingo to enhance convergence rate and performance. The proposed EHO-deep CNN is reported in terms of accuracy, sensitivity, and specificity values as 98.13%, 98.98%, and 97.28% when measuring TP 80 for the LIDC-IDRI dataset and 96.09%, 96.70%, and 95.48% for measuring k-fold 10. Further, implementing the suggested model obtains the values of 95.34%, 92.88%, and 97.80% for the LUNA 16 dataset when measuring TP 80 and 98.21%, 98.06%, 98.35% when measuring k-fold 10, which outperforms other existing techniques in effectiveness.
The method of parametric adaptation of the check polynomials of the component recursive systematic convulsion code turbo code
Authors: Kurbet Pavlo M. , Rudenok Oleksandr A.
Published: August 2024

The article is devoted to increasing the efficiency of the functioning of wireless information transmission systems due to the adaptation of the verification polynomials of the component recursive systematic convolutional turbo code by solving the optimization problem using the gradient method. After the appearance of the extremely important work of K. Shannon, huge efforts have been made to find new transmission methods in order to approach the bandwidth of the channel. Channel coding is one of the main methods that enables such operation at almost full bandwidth. The probability of a white error of information decoding is chosen as the objective function. To calculate the probability of a bit error in information decoding, it is proposed to use cyclic codes. Adaptation schemes of these codes are used to improve the characteristics of information reliability. At the same time, during adaptation, in the vast majority of works, only one parameter changes – the coding speed, which does not fully increase the effectiveness of corrective coding schemes. The purpose of the article is to increase the efficiency of wireless information transmission systems by adapting the verification polynomials of the component recursive systematic convolutional turbo code by solving the optimization problem. The article consists of an introduction, which highlights the problem, analyzes the latest research and publications on this topic, and formulates the purpose of the article. The results of the research are shown, conclusions and prospects for further research are drawn. The article ends with a list of used sources. As a result of the proposed method, the effective number of verification polynomials of the RSCC turbo code, which were found using the method for the channel with additive white Gaussian noise for different sizes of the input data block, is given. We consider the direction of further research to expand the search range to take into account a larger number of parameters of turbo codes during adaptation, while the following can be foreseen: the number of bits in a block, types of interleavers, decoding algorithms, decoding iterations, etc.
Application of geotechnical structures in «green construction»
Authors: Sviatohorov Illia O.
Published: August 2024

Green buildings are structures that are located, designed, built, renovated and operated in accordance with the main principles of energy efficiency, and that they will have a positive impact on the environment, economy and social sphere during their entire life cycle. The need to save energy and mitigate environmental problems contributed to the emergence of a wave of green innovations in construction, which continues to this day. The main goal of the concept of sustainable development in geotechnical "green construction" is to: provide it with economic competitiveness and sufficient usefulness; at the same time, reduce energy and material consumption; reduce the area of land plots allocated for construction; to minimize risks of harm to health and life of people in case of accidents and undesirable events during geotechnical construction. The reconstruction of Postal Square is one of the largest infrastructure projects in Kyiv in recent years. Large traffic flows in the "north-south" direction pass through the square, and the absence of a modern transport hub in this area complicates car traffic. The reconstruction project provided for the construction of a two-lane road tunnel, an overhead transport overpass (the first phase of construction), as well as a two-story underground shopping complex with a total area of about 8,000 m2 (the second phase of construction) and complex improvement of the territory with the arrangement park and fountain. The construction was carried out taking into account the high responsibility of the construction and the complexity of the engineering and geological conditions of the construction site. The requirements of geotechnical "green construction" in the conditions of dense urban development based on a systemic approach were met. At the same time, the following were resolved: the absence of shear deformations of the surrounding slopes during the construction of the pit, construction and operation of the structure; integrity of surrounding buildings; ensuring reliable operation of the metro line; strength and reliability of structures under construction; preservation of the original hydrogeological regime of the territory; preservation of underground monuments of history and architecture, other issues.
Interrelationship between processes of economic security intellectualization and ensuring sustainable development of the enterprise in the conditions of macroeconomic systems transformation
Authors:   National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Shashyna M. V.
Published: August 2024

This article is devoted to the systematization of the theoretical and applied aspects of the qualitative relationship between the processes of economic security intellectualization and ensuring the sustainable development of entrepreneurial entities, the integration of the conceptual provisions of these theories into the system of organizational and economic support for the activities of enterprises under the influence of active transformations of modern macroeconomic systems. The authors analysed in detail the applied features of the intellectualized approach implementation to the formation of economic security policy for business structures. The system provisions of the implementation for the conceptual foundations of sustainable development theory in the economic processes of the enterprises functioning are singled out. The fundamental principles of qualitative integration of the processes of economic security intellectualization and ensuring the sustainable development for entrepreneurial entities are formulated, in particular the principle of purposefulness, the principle of innovation, the principle of humanism, the principle of responsibility, the principle of balancing, the principle of synergy, the principle of participativeness, the principle of transparency, the principle of knowledge preservation. The proposed logical-structural diagram of the interconnection between functional aspects of the economic security intellectualization processes and ensuring sustainable development at the enterprise level, which qualitatively coordinates the relevant functional processes (financial, personnel, technical and technological, informational, etc.), which reflect the practical manifestations of the intellectualized approach implementation in economic security and direct sustainable development of the enterprise. The component-by-component integration of the system processes of economic security intellectualization and ensuring sustainable development is presented, which reflects the relationship of benchmark elements on each of the concepts within the management structure of economic entities. A component-by-component analysis of instrumental support was carried out in terms of specific management practices of an intellectualized approach to ensure the enterprise economic security within the system elements of the sustainable development theory based on a three-unit approach (economic component, social component and environmental component).
PERAN HUMAS DALAM MENINGKATKAN CITRA
Authors: Sugiharto Rizky , Ritonga M. Husni
Published: August 2024

Abstrak
Humas yang masih digunakan sampai sekarang sering disebut dengan Humas atau disingkat PR. Kebutuhan akan kebutuhan mengarah pada munculnya hubungan masyarakat.  Ini menyiratkan bahwa keberhasilan atau kegagalan tujuan dan citra yang ingin diproyeksikan oleh perusahaan pada akhirnya ditentukan oleh PR dan kapasitasnya untuk menjembatani atau meningkatkan komunikasi dengan publik. Cabang PDAM, bisnis yang cukup besar yang terlibat dalam layanan dan layanan yang menyediakan air bersih, adalah salah satu perusahaan negara yang mungkin. Namun pada kenyataannya masih terdapat permasalahan yang ditimbulkan oleh adanya saluran air yang tidak lancar sama sekali, kualitas air yang kurang baik, dan penggunaan air yang tidak tepat. Judul “Peran Humas Dalam Membangun Citra PDAM” perlu diangkat agar para sarjana dapat mengangkat dan mengkaji topik ini lebih dalam. untuk menentukan sejauh mana hubungan masyarakat telah memberikan kontribusi untuk meningkatkan reputasi perusahaan. Untuk mencirikan fungsi humas dalam meningkatkan citra PDAM Tirtanadi Cabang Sumatera Utara yang diyakini sangat nyata, penelitian ini menggunakan penelitian deskriptif kualitatif.
The Young Learners’ Preferences for Learning English with Native and Non-native Teachers
Authors: Ramirez Cynthia Jimena
Published: August 2024

This study investigates the preferences of young learners regarding English language instruction provided by native and non-native teachers. Through interviews, the research aims to understand the key factors influencing these preferences. The findings reveal the subtle preferences that inform effective pedagogical practices, highlighting the importance of incorporating diverse teaching methodologies to enhance the learning experience and outcomes for students.
COMPARATIVE ANALYSIS OF OPTIMISATION METHODSOF BUSINESS PROCESSES AT ENTERPRISES
Authors: Kovbatiuk, Maryna , Strilok Oleksandr
Published: August 2024

Analyzing business process optimization methods is an important task that helps to systematize different approaches and make them more understandable for use in practice. Research shows that the use of modern technologies, such as information systems and artificial intelligence, can significantly improve the results of business process optimization. The development of new methods and technologies in this area is necessary to maintain the competitiveness of enterprises in the modern business environment.There are many methods for optimizing business processes, but the main task is to choose the methodological approach that best meets the specific needs and conditions of the business. The best option can be determinedbased on a thorough comparative analysis of business process optimization methods, taking into account their advantages and disadvantages.The results of the study show that the most effective methods of business process optimization are those that are implemented at the stage of business process design, as well as methods that have a comprehensive impact on the business process. The use of optimization methods allows enterprises to increase the efficiency and productivity of business processes, reduce costs, eliminate unnecessary elements and streamline work processes, improve product quality, ensure a more accurate and efficient production process, increase competitiveness, improve flexibility and adaptability of the business to changes in the market.Regardless of the method chosen, the process of optimizing business processes should be comprehensive and include the stages of analyzing current activities to identify problem areas, developing optimization options taking into account the goals and constraints of the enterprise, implementing the optimal option, and monitoring the results of optimization. The choice of a business process optimization method depends on the specific conditions of the enterprise, such as the optimization goals, the degree of complexity and unprofitability of business processes, and the availability of resources for optimization.Given the rapid changes in the technological and business environment and to facilitate the process of choosing the most rational method of business process optimization, it is advisable to direct further research to improve their classification.
FINANCIAL MANAGEMENT IN INSURANCE COMPANIES
Authors: Kovova Iryna , Shpyrko Olha , Kivalo Daryna
Published: August 2024

The role of financial management in insurance companies is becoming increasingly important, as insurance companies strive to respond to the uncertainty and instability of business conditions caused by military aggression, a sharp reduction in consumer and solvent demand, as well as to meet regulatory requirements that are undergoing transformation. The article examines the main reasons for the relevance of increasing attention to the theoretical and practicalresearch of financial management issues at insurers. The authors systematized the process of financial management in insurance companies, which consists of four interconnected complex stages: planning, accounting, analysis and control. The article offers a Checklist for checking the financial management department of an insurance company when implementing transformations, which consists of four consecutive questions, after receiving the answer to which insurers can adjust the implementation of such a transformation depending on the goals they want to achieve.The authors of the article establish a connection between the categories of financial management of the insurer and insurance managementThe authors structured and summarized the financial management system in insurance companies, which includes subsystems of external monitoring of the state of the insurance market and risk research for purpose of forecasting the company's activities and development prospects, and the subsystem of the insurer's internalrisk research.The article provides a concise analysis of the main trends of the insurance market in Ukraine during the period of a full-scale military invasion and systematizes the main points that insurers need to consider when managing their financial activities.The authors defined the main directions and ways of improving financial management in insurance companies based on a comprehensive and systematic approach, which include strategic planning, financial education of personnel, use of innovative technologies and digitization of the industry, effective risk management, etc
The Relationship Between Knowledge Level and Anxiety Level in Patients with Chronic Kidney Failure in Gorontalo Provincial Hospitals
Authors: Firmawati Firmawati , Retni Ani , Zakaria Mira Yunus
Published: August 2024

Chronic kidney failure patients' knowledge of hemodialysis can affect a person's psychological condition. A patient's lack of knowledge about hemodialysis can cause anxiety. This anxiety will have an impact on the psychological threat to the patient, if it occurs continuously, it will cause the patient's psychiatric disorders or other diseases such as the heart. The purpose of this study is to determine the relationship between the level of knowledge and the level of anxiety of chronic kidney failure patients in hospitals in Gorontalo Province. The design of the analytical survey research with a cross-sectional study approach, the population of chronic kidney failure patients who underwent hemodialysis was 48 people at Prof. Dr. H. Aloei Saboe Hospital and Toto Kabila Hospital, the number of samples was 48 people using the total sampling technique and the statistical test used, namely chi-square. The results of the study were obtained from patients with good knowledge who experienced mild anxiety in as many as 12 people and moderate anxiety in as many as 3 people. Meanwhile, patients with sufficient knowledge experienced mild anxiety in as many as 4 people, moderate anxiety in as many as 8 people, and severe anxiety in as many as 3 people. In patients with less knowledge, 5 people experienced moderate anxiety and 13 people experienced severe anxiety. They were known as p-value=0.000<0.05. The conclusion is that there is a relationship between the level of knowledge and the level of anxiety in patients with chronic kidney failure in hospitals in Gorontalo Province.
Differences in Students' Knowledge and Attitudes when Given Media, Games, Esedalu, and Videos on Healthy Clean Living Behavior in State Elementary School 146 Gumuruh, Bandung City
Authors: Lolan Yosef Pandai , Firdaus Rendy , Kurniawati Ratna Dian , Suherdin Suherdin
Published: August 2024

Clean and Healthy Living Behavior (PHBS) is an effort to transmit experiences about healthy living behavior through individuals, groups or communities. Infectious diseases are often experienced by elementary school (SD) children who are susceptible to various diseases caused by habits and the environment, one of which is diarrhea, the prevalence of diarrhea in West Java province shows an increase from 4.5% in 2013 to 6.8% in 2018 and based on the characteristics of the age group 5-14 years diarrhea cases as many as 182,338 people or equivalent to 6.05% of cases in 2018. In the percentage of Bandung Regency or City the percentage of clean and healthy living behavior has not reached half in 2007 of 16.6%, in 2013 of 23.2%, and in 2018 of 49.6%. The type of research used in this study is a Quasi-Experimental design, the approach used is a non-equivalent control group (pretest-posttest). The number of samples in this study was 15 respondents of the first treatment, 15 respondents of the second treatment, and 15 respondents of the control group with a total sample of 45 respondents in this study. The average score of knowledge in the results of the study increased after the intervention of health education with video media, aksedalu and control groups where before the intervention was given the average value of each group with video media was 13.00, Aksedalu 11.00, and in the control group of 12.47, the value of attitude before intervention using media was obtained value 6.18, and the value of attitude after intervention using media was obtained value 7.42.  It is said that respondents received information provided through health education with videos and aksedalu given in 3 interventions until the increase in knowledge.
Case Study on the Implementation of Implementation Strategies: Verbal Methods in Patients at Risk of Violent Behavior
Authors: Ghani Farid , Rahmawati Arni Nur
Published: August 2024

Mental health issues of concern in Indonesia are severe mental disorders, including schizophrenia, which have a significant impact on patients and society. This study aims to evaluate the effectiveness of the implementation of the Implementation Strategy (SP) to control violent behavior by verbal means in managing the risk of violent behavior in patients with mental disorders at Soerojo Hospital. The research method is a descriptive case study with a nursing process approach. Data collection was carried out by means of observational interviews, and patient medical design documentation studies. This research instrument uses a nursing care format. The subjects in this case study are schizophrenic patients at risk of violent behavior at Soerojo Hospital. The results of the study showed that the training to recognize risks and control violent behavior physically, verbally, and spiritually was effectively applied to patients, as seen in Mr. F who successfully controlled violent behavior by following the SP to control violent behavior in a verbal way. The implementation of this strategy reduces the incidence of violent behavior, improves safety, and improves the quality of life of patients. This study also highlights the importance of training and education for health workers as well as the role of family support in managing violent behavior. In conclusion, the implementation of SP I, II, and III at Soerojo Hospital is effective and can be a model in dealing with the risk of violent behavior in patients with mental disorders, so that it is expected to improve the quality of mental health services in Indonesia.
Eucalyptus Oil Simple Vapor Inhalation Therapy on Reducing Breathing Frequency in Children with Pneumonia
Authors: Mustofa Sri , Cahyaningrum Etika Dewi
Published: August 2024

Acute inflammation in pneumonia is the result of an acute respiratory infection that is usually accompanied by coughing, shortness of breath and inflammation of the lung parenchyma. This can lead to increased secretion production and often causes the main problem of ineffective airway clearance. The purpose of this scientific work is to determine the effect of simple eucalyptus oil vapor inhalation therapy in reducing the frequency of breathing in children with pneumonia. The main ingredient in eucalyptus oil is the compound cineole (eucalyptol) which is known for its anti-inflammatory, antioxidant, bronchodilating (relieving the airway), antiviral and antimicrobial effects. This effect of cineole also has a mucolytic effect (dilutes phlegm) so that the secretion becomes thinner and easier to remove. The method used is a case study by going through the stages of the nursing process including assessment, diagnosis, intervention, implementation and evaluation. The purpose of this scientific work is to determine the effect of simple steam inhalation therapy on reducing the frequency of breathing. The nursing care process was carried out for 3 days starting April 22, 2024 - April 24, 2024. The results of the nursing care process that has been carried out, it is found that simple steam inhalation therapy with eucalyptus oil is effective for reducing the frequency of breathing in patients with airway clearance problems.
Analysis of Factors Influencing Patients to Choose a Hospital for Inpatient at Al Fuadi Binjai General Hospital
Authors: Ginting Inayanti Khairiyah , Nuraini Nuraini , Nasution Ramadhani Syafitri
Published: August 2024

Inpatient services at Al-Fuadi Binjai Hospital aim to provide the best care for patients, but the services provided sometimes cause complaints and dissatisfaction of patients who choose to be hospitalized at the hospital. The patient's decision to choose to be treated at Al Fuadi Binjai Hospital is based on Kotler's decision-making theory and Andersen's health care search theory. The purpose of this study was to analyze the factors that influence patients to choose a hospital for hospitalization. Types of research This is an analytical survey research by design cross sectional. Research conducted at Al Fuadi Binjai General Hospital. The study population was 319 people, and the sample was obtained 178 people. The data used are primary and secondary data. Data analysis in univariate, bivariate using chi-square and multivariate using multiple logistic regression at a 95% confidence level (a=0.05). The results showed that the influencing factors The decision to choose hospitalization at Al Fuadi Binjai General Hospital was culture (values in the family) (p = 0.037), confidence (0.031), quality of health worker services (0.023), motivation (p = 0.008), facilities (p = 0.002), and speed of service (p = 0.000), while the perception variable had no effect (p = 0.206). The dominant variable influencing patients' decision to choose hospitalization at Al Fuadi Binjai General Hospital is the speed of service. Patients who stated that service at Al Fuadi Binjai General Hospital was fast, were 5.2 times more likely to choose readmission than patients who stated that service at Al Fuadi Binjai General Hospital was slow. Fast service is the main reason patients choose hospitalization because it has an impact on the speed of patient recovery. It was concluded that the patient's decision to choose hospitalization at Al Fuadi Binjai General Hospital was influenced by the culture, beliefs, quality of service of health workers, motivation, facilities and speed of service. It is recommended for patients to provide input through the suggestion box on complaints felt during treatment to improve the quality of service so that patients without hesitation decide to re-hospitalize when patients and families are sick.
Modalidad Lingüística del Discurso Didáctico y Aprendizaje de Competencias Contextuales
Authors:   Facultad de Filosofía y Letras, Universidad Autónoma de Chihuahua, Ibáñez Bernal Carlos , Reyes Seáñez María Amelia ,   Facultad de Medicina, Universidad Autónoma de Chihuahua, Mendoza Meraz Gerónimo ,   Facultad de Filosofía y Letras, Universidad Autónoma de Chihuahua
Published: August 2024

En este estudio se intentó determinar el posible efecto diferencial en el aprendizaje de competencias contextuales que pudiera ejercer el discurso didáctico cuando su modalidad lingüística es únicamente textual, cuando es únicamente auditiva y cuando su modalidad es al mismo tiempo textual y auditiva. Participaron veintitrés estudiantes de licenciatura distribuidos al azar en tres grupos, los que recibieron la misma información pero bajo diferentes modalidades. Al Grupo 1 se le presentó de manera textual, al Grupo 2 de forma auditiva, mientras que el Grupo 3 la recibió tanto de manera textual como auditiva. Los resultados de los grupos en tareas de identificación no mostraron diferencias significativas entre ellos, pero hubo mayores similitudes entre los desempeños de los grupos 2 y 3. Este último resultado sugiere que cuando se presentan las modalidades textual y auditiva al mismo tiempo los sujetos tienden más a escuchar que a leer, de allí posiblemente su mayor similitud con el grupo de modalidad auditiva. Se concluye en la necesidad de considerar la naturaleza funcional de los modos lingüísticos en su participación en el aprendizaje.
STRATEGI ARSITEKTUR KEBERLANJUTAN PADA BANGUNAN OLAHRAGA
Authors: Pranata Adi Agung Budi , Zuhri Syaifuddin
Published: August 2024

Sekarang ini, pembangunan gedung-gedung dengan berbagai fungsi semakin marak danmenimbulkan masalah terhadap lingkungan di sekitarnya. Sekitar 30% pasokan energi nasional dikonsumsioleh sektor bangunan (Karyono, 2013). Jumlah ini cukup berarti untuk diperhitungkan dalam upayapenghematan energi nasional. Tidak terkecuali pada gedung dengan fungsi kegiatan berolahraga. PadaBangunan olahraga terdapat kekurangan pada sisi teknologi yang mengakibatkan pembangunan danperawatannya tidak ekonomis dan efisien (Milica et.al., 2014). Bahwa arsitektur harus berupayameminimalkan dampak negatif lingkungan dari bangunan dengan efisiensi dan moderasi dalampenggunaan bahan, energi, dan ruang pengembangan (Merhan et.al., 2018).Metode pendekatan berkelanjutan yang dapat mengatasi permasalahan terhadap tata guna lahandan penggunaan teknologi bangunan yang tepat yang dapat meningkatkan nilai efisiensi dari bangunan.Arsitektur berkelanjutan adalah pendekatan arsitektur yang berfokus untuk meminimalkan dampak negatifpada bangunan serta lingkungannya dengan efisiensi pada penggunaan energi, material, dan ruang lingkupsecara luas. Arsitektur berkelanjutan memiliki prinsip untuk mendesain bangunan yang ramah lingkungan(Merhan et.al., 2018).Pembahasan pada tulisan ini mengidentifikasi karakteristik bangunan berkelanjutan padabangunan olahraga Birds-Nest-Stadium China dan Amsterdam Stadium AreA guna mengusulkan strategipenyelesaian arsitektur dengan pendekatan arsitektur berkelanjutan agar sebuah bangunan olahraga dapatberfungsi secara lebih efisien dan ramah lingkungan.
APLIKASI KONSEP FLEKSIBILITAS ARSITEKTUR PADA PERENCANAAN PUSAT PEMBINAAN ANAK JALANAN DI SURABAYA
Authors: Prayogo Ivan Fajar , Winasih Sri Suryani Yuprapti
Published: August 2024

Anak jalanan merupakan salah satu masalah sosial yang ada di Indonesia khususnya di Surabayadengan jumlah anak jalanan cukup tinggi. Pendidikan formal merupakan permasalahan yang seringkalidihadapi oleh anak jalanan. Dilakukannya penelitian perancangan ini bertujuan mencari solusi baru dalammenyelesaikan masalah pendidikan anak jalanan. Disamping itu tujuan utama dari penelitian perancanganini adalah sebagai jembatan yang menghubungkan antara karakter anak jalanan yang cenderung bebasdengan dunia pendidikan yang bersifat formal. Pilihan konsep Fleksibilitas Arsitektur dalam menyelesaikanrancangan diharapkan mampu menyelesaikan hal tersebut. Metode yang digunakan adalah penelitianterapan (applied research) melalui pendekatan deskriptif kualitatif. Pemahaman desain diawali denganeksplorasi fenomena dan isu tentang Pusat Pembinaan anak jalanan yang didukung oleh tinjauan data danpustaka. Tema rancangan yang diambil adalah “Edu-Social Space”. Tema edu-social space merupakansarana untuk bertemu secara informal, mengadakan diskusi, mengadakan pelatihan, mengatur pameran danmengadakan acara sosial atau acara khusus sebagainya. Penyelesaian rancangan diwujudkan melaluipendekatan Arsitektur Perilaku. Tahap selanjutnya menggabungkan tema edu social space denganpendekatan arsitektur perilaku sebagai penyelesaian rancangan dengan konsep Fleksibilitas Arsitektur.Penerapan konsep Fleksibilitas Arsitektur diwujudkan melalui : a) Perancangan aktivitas dan programruang b) Pengolahan site dan massa bangunan c) Image bangunan
PENERAPAN ARSITEKTUR TRADISIONAL JAWA PADA TRADITIONAL SPA CENTER SEBAGAI PENUNJANG HIDUP SEHAT
Authors: Addawiyah Bilqis , Agustin Dyan
Published: August 2024

Perkembangan teknologi mempengaruhi pola hidup masyarakat perkotaan yang menginginkan segala sesuatu serba cepat dan instan, dengan kondisi lingkungan yang semakin buruk. Survey pada tahun 2016-2018 menunjukkan pola hidup masyarakat mengalami kemunduran, dengan perkembangan teknologi maka mulai muncul fasilitas-fasilitas penunjang pola hidup sehat. Fasilitas ini merupakan sebuah wadah yang dapat menunjang pola hidup sehat dari fisik, jiwa dan pikiran. Salah satunya ialah SPA. SPA merupakan upaya detoksifikasi dengan cara tradisional dan metode kesehatan dengan cara memberikan relaksasi bagi pengunjungnya. Dengan peminat yang cukup banyak Indonesia mendapatkan gelar best spa destination, merupakan treatment dari berbagai daerah di Indonesia dengan manfaat yang berbeda-beda. Menciptakan tradisional SPA sebagai fasilitas penunjang hidup sehat perlunya penunjang dari hal lain tidak hanya dari treatment, yaitu memaksimalkan pada desain dan juga pemanfaatan alam sekitar yang masih hijau. Penerapan arsitektur tradisional Jawa pada desain dengan tujuan desain dapat memberikan suasana tentram dan nyaman sesuai dengan filosofi dari arsitektur Jawa itu sendiri dan juga arsitektur tradisional Jawa merupakan desain yang sangat memperhatikan hubungan antara alam sekitar dengan bangunan dan manusianya. Metode penerapan yang dipilih ialah metode analisis deskriptif yaitu dengan menganalisis beberapa data tentang ciri dan filosofi dari arsitektur Jawa yang akan diterapkan pada desain tradisional SPA center. Hal ini tidak hanya diterapkan pada exterior bangunan saja melainkan juga interior dan tatanan massa.