bluuebunny/crossref_metadata_2025 huggingface dataset:
Cultivation of green environmental awareness towards cleanliness city in Malaysia
Authors: Vasudevan Asokan , Che Rusuli Muhamad Saufi , Ab Rahman Anis Amira , Wan Mohd Nasir Wan Mohd Nazdrol , Ibrahim Norshahila , Ali Jati Kasuma , Huang Xibin
Published: October 2024

This paper aims to understand the local authorities’ reaction to green environment activities towards clean cities in Malaysia and how they respond to cleanliness awareness among the community. Four (4) cities, such as Melaka, Ipoh, and Muar dan Kuala Terengganu, were selected, and this study embarks on a qualitative research approach involving a semi-structured interview with top personnel from four local authorities. From the reaction point of view, some local authorities reacted positively towards the green environment and cleanliness of the city. Four (4) themes have been produced, such as awareness, which focuses on the daily routine of local authorities. Secondly, enforcement from the local government, with some warning and advice, really contributes to the changes in society’s attitude. Thirdly, support by local authority efforts, including awareness campaigns from electronic and printed media, does have a good impact. Lastly, active involvement from the local authorities regulated many communities in residential areas and had direct links with local communities and NGOs that annually organized green program activities. This study urged the Local Government Act 1976, which the local authorities are responsible for the enforcement activities such as the 3Rs (Reduce, Reuse, Recycle) activities and so on. Local authorities, state governments, and local communities should also help monitor and maintain environmental issues towards a clean city in Malaysia.
Transforming people through service-learning. An experience in higher education
Authors: Vázquez Belén López , Vaquero-Diego María , Currás-Móstoles Rosa , Shzu Maura Angélica Milfont
Published: October 2024

service-learning activities are effective in higher education programmes. During the COVID-19 period, universities have implemented this methodology and students have improved their social and practical skills. The purpose of this article is to analyse the role of higher education in the process of adapting teaching based on experiences designed for students to serve the community. This research presents the results of a specific service-learning experience of 35 students from the Teamworking programme during the academic years 2020–21 (online) and 2021–22 (face-to-face), in collaboration with the San Juan de Dios Foundation in Madrid, which provides care for people with disabilities. Students evaluated the experience through a quantitative study based on a questionnaire previously developed by Folgueiras (2013), divided into four dimensions. Students also provided some feedback, explaining that this experience changed their perception of people with disabilities, considering the personal value of contributing to social inclusion through service learning. The results show that through the Folgueiras model, students have strengthened their social skills and competences, and through an applied training project that offers the opportunity to build a real relationship through different activities, where learning was at the centre of the interaction between students and young people with disabilities. In conclusion, although the evaluation was positive in terms of the students’ professional and human development, this project requires continuous improvement in the long term, since the subjectivity of human relationships follows a dynamic course with variables that are sensitive to time and individual experience.
Multilevel governance concept on migration: A qualitative meta-synthesis
Authors: Wuryandari Ratna Dewi , Kurniawan Teguh , Umanto Umanto
Published: October 2024

Research on migration governance at the local level in European countries often refers to the perspective of multilevel governance (MLG) by examining the roles of different levels of government, non-governmental actors, and various negotiations between actors at various scales. This study aims to synthesize qualitative evidence from primary studies to understand systematically better and explore themes that intersect with multilevel governance studies in migration. This meta-synthesis process is done by thematic synthesis following the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA). The study results show that multilevel governance and migration strengthen on themes such as actors, governance, implementation, integration, and interaction. Based on the analysis of word similarity in the 500-word cloud, it was also found to be the top dominant, such as policy, local, cities, urban, governance, migration, level, integration, government, and social. The study recommends research directions for non-European countries by examining the adaptation of the MLG concept, analyzing the impact of decentralization on the effectiveness of MLG, looking at public-private sector partnerships in developing countries, as well as comparative studies between non-European countries to contribute to the theory of multilevel governance. This study implies that there still needs to be research on multilevel governance in the field of migration that specifically conducts qualitative meta-synthesis.
Driving Thailand healthcare communication policy on e-cigarettes through social network analysis
Authors: Pongpech Worapol Alex , Chaisuwan Bu-nga , Vijite Pongthep , Laohapiengsak Pined , Chanesirirattanakorn Thitirat
Published: October 2024

E-cigarettes pose a significant public health concern, particularly for youth and young adults. Policymaking in this area is complicated by changing consumption patterns, diverse user demographics, and dynamic online and offline communities. This study uses social network analytics to examine the social dynamics and communication patterns related to e-cigarette use. We analyzed data from various social media platforms, forums, and online communities, which included both advocacy for e-cigarettes as a safer smoking alternative and opposition due to health risks. Our findings inform targeted healthcare policy interventions, such as educational campaigns tailored to specific network clusters, regulations based on user interaction and influence patterns, and collaborations with key influencers to spread accurate health information.
Analysis of sustainable building design concept (SBDC) adoption in current China’s architecture, engineering, and construction (AEC) related higher education curriculum
Authors: Wang Yunxuan , Ibrahim Nik Lukman Bin Nik , Zheng Yu
Published: October 2024

The architecture and engineering industry employs resource-efficient sustainable building design (SBDC) to reduce greenhouse gas emissions and mitigate environmental damage. This study examines the understanding and practice of SBDC among Chinese architecture students. A survey of 555 undergraduates from China’s architecture universities was conducted. Two independent and seven dependent variables were analyzed to evaluate the impact of academic stages and practical experiences on students’ awareness. The findings reveal that over 70% of respondents consider SBDC important in architecture. More than half have taken courses with over 30% SBDC content. However, 45.85% of respondents only have a basic understanding of SBDC. This result underscores the significance of educational disparities, this insufficiency is likely due to inadequate coverage and representation of SBDC in the curriculum. Our study highlights the necessity of enhancing SBDC-related education within the current curriculum framework to ensure all students receive a systematic and comprehensive knowledge of sustainable building design.TRANSLATE with x EnglishArabicHebrewPolishBulgarianHindiPortugueseCatalanHmong DawRomanianChinese SimplifiedHungarianRussianChinese TraditionalIndonesianSlovakCzechItalianSlovenianDanishJapaneseSpanishDutchKlingonSwedishEnglishKoreanThaiEstonianLatvianTurkishFinnishLithuanianUkrainianFrenchMalayUrduGermanMalteseVietnameseGreekNorwegianWelshHaitian CreolePersian //  TRANSLATE with COPY THE URL BELOW Back EMBED THE SNIPPET BELOW IN YOUR SITE Enable collaborative features and customize widget: Bing Webmaster PortalBack//
From pirouettes to paychecks: Unraveling the dynamics of economic level on dance training institution engagement
Authors: Zhou Yong , Yim Haksoon
Published: October 2024

Purpose: This research aims to unravel the intricate dynamics that connect economic status with individuals’ engagement in dance training institutes. Focusing on the affordability of classes, access to resources, awareness, cultural background, and geographic location, the study seeks to provide a nuanced understanding of how economic considerations influence various facets of engagement within the dance community. Method: Conducted through 13 semi-structured interviews, this research adopts a qualitative approach to explore the multi-faceted relationships between economic status and dance engagement. Thematic analysis, structured in three steps, is employed to uncover patterns, themes, and insights within the qualitative data. Findings: The study uncovers a myriad of findings that illuminate the impact of economic factors on dance engagement. Affordability emerges as a significant barrier, influencing access to classes and participation in competitions or performances. Access to resources, including studio space and trained instructors, proves pivotal in shaping individuals’ experiences within dance education. Awareness and exposure play crucial roles, with limited exposure hindering engagement, while the cultural background and geographic location intersect with economic considerations, shaping preferences and opportunities within the dance community. Originality/Significance: This research contributes to the field by offering a focused exploration of economic influences within the dance community. The originality lies in its holistic approach, considering the interconnected nature of affordability, access to resources, awareness, cultural background, and geographic location. From a policy and institutional standpoint, the findings have practical implications, guiding initiatives to address disparities and foster a more accessible and supportive environment within dance training institutes.
Wage implications of FDIs in Slovakia and Slovenia on post-communist emerging markets
Authors: Pîrju Ionel Sergiu , Gina Ioan , Sirbu Carmen , Nastase Carmen , Vrabie Tincuța
Published: October 2024

This study investigates the impact of Foreign Direct Investments (FDIs) on wage dynamics in Slovakia and Slovenia, with a particular emphasis on gender-specific effects in post-Communist emerging markets. By analyzing wage outcomes for male and female workers separately, the research reveals potential disparities in FDIs-driven wage growth. Employing econometric techniques and longitudinal data, the study explores the nuanced relationship between FDIs, wage policies, and economic development over time. A temporal lag in FDIs analysis suggests that Slovakia and Slovenia have experienced differing impacts from past foreign capital flows. In Slovakia, significant correlations indicate persistent FDIs influence and a pronounced effect on gender wage disparities. In Slovenia, more moderate correlations and FDIs volatility suggest a less stable relationship between external investment and wage dynamics. The originality of this research lies in its comparative approach, examining two distinct post-Communist nations and identifying unique country-specific patterns and trends. This study contributes to a deeper understanding of FDI’s role in labor market management and its implications for gender equality in two European emerging economies.
A Study of New Strategies for the Professional Development of International Chinese Language Teachers in Colleges and Universities in the Era of Big Data
Authors: Tang Yanhua
Published: October 2024

This paper integrates the big data teaching environment, first identifies the teacher competency characteristics, and then employs the questionnaire survey method to analyze and extract these competency characteristics based on the survey results. On this basis, we conducted a statistical and differential analysis of the teacher competency characteristics of the excellent performance group and the ordinary performance group. We derived the weights of the indicators of teacher competency characteristics through the Yaahp software, a commonly used tool in hierarchical analysis, and then explored feasible strategies for promoting teacher development in the context of the big data era. Based on the results of the analysis and statistics, this study screened and retained the characteristics with a frequency of more than 10 as teacher teaching competency characteristics in the big data teaching environment, totaling 32 items. There are significant differences between different performance groups in 13 competency characteristics, such as digital tool application and digital resource production, but no significant differences in the rest of the competencies. The highest weighting values were given to awareness of smart teaching evaluation and lifelong learning competencies. Development strategies such as self-development and training facilitation promote teacher development.
Artificial Intelligence-Based Quality Improvement Strategies for Clinical Psychological Counseling Services
Authors: Lu Jihu , Wang Yan , Cui Ruili , Hu Tingting
Published: October 2024

Clinical psychological counseling suffers from problems such as a shortage of medical personnel and uneven quality, and artificial intelligence technology provides a feasible way to solve these problems. In this paper, a chatbot model for psychological counseling is designed using Seq2seq, and Encoder-Decoder and Attention mechanisms are introduced to improve decoding accuracy. LSTM is used as the basic unit, and the beam search algorithm is added to improve the diversity of replies. The experimental results show that adding LSTM and Beam Search can generate higher-quality and more natural psychological counseling responses, and the loss value of this paper’s model decreases to 1.33 after 10 rounds of training. The total score of the OQ-45.2 questionnaire of the experimental group’s post-test decreased by 13.8 points, and the mean value of symptom distress decreased by 8.26, performing significantly better than that of the control group. The chatbot design in this paper is reasonable and aids in improving the quality of clinical psychological counseling services.
Data Security Encryption Analysis Based on Blockchain Trusted Big Data Artificial Intelligence
Authors: Wang Hongwu , Cui Hua , Zhang Yan
Published: October 2024

The rapid development of Internet of Things (IoT) technology brings convenience to people but also brings data security problems. The data security problem can be solved effectively by blockchain due to its non-tampering and decentralization features. The purpose of traceability and auditable verification is achieved by adding user identity information and access policy to the blockchain in this paper. A blockchain-based data security access mechanism for cross-organizations is proposed and an attribute-based access control model is constructed. The feasibility and efficiency of this data protection scheme are evaluated by deploying an experimental environment and comparing it to reference schemes. The scheme proposed in this paper consumes less Gas for contract deployment than in other studies, and the Gas consumption grows slowly with more nodes, i.e., the cost grows slowly. The scheme in this paper consumes 7.00 seconds and 3.05 seconds less time than the reference network approach as well as the BAC approach in executing 300 transactions, respectively. The proposed scheme in this paper has shorter attribute secret key generation time and encryption/decryption time than the reference scheme. For example, when the number of attributes is 50, the scheme in this paper reduces the time of secret key generation by 144ms, 64ms, and 348ms compared to the scheme 1, 2, and 3. This paper breaks the performance bottleneck of blockchain and provides a new scheme for the security of user’s data and encryption.
The Effectiveness of the Application of Intelligent Aids in the Blended Teaching of College English under the Perspective of New Liberal Arts Education
Authors: Chao Weihong
Published: October 2024

The integration and promotion of intelligent technology in the education industry has led to the introduction of more and more intelligent assistive teaching tools and platforms into the classroom, and the traditional classroom mode and teaching form are undergoing significant changes. This paper utilizes a university teaching and quality evaluation system to design the teaching evaluation module. Improving the particle swarm optimization algorithm and combining it with the K-Means algorithm has resulted in the construction of a teaching evaluation model based on the PSKA algorithm. The model is incorporated into the English teaching and quality evaluation system in colleges and universities. The PSKA algorithm is used to cluster students’ learning situations and divide four categories of students with different learning levels. Targeted guidance for each category of students’ learning problems can effectively improve the quality of teaching. The questionnaire survey revealed that 61.07% of English teachers understood the model, with 47.25% saying they actively use it and recommend it to other teachers. It is evident that the teaching evaluation model based on the PSKA algorithm is recognized by most English teachers.
Research on the Design and Practical Effectiveness of Intelligent Teaching Mode Design for the Integration of Wushu and Ethnic Traditional Sports Culture
Authors: Chen Bo
Published: October 2024

As an important part of Chinese culture, national sports culture not only has profound cultural connotations but also has rich cultural value. This paper proposes a path that integrates national sports culture and martial arts into teaching, focusing on three key aspects: diversification, scientification, and digitization. The neural network operator Involution improves the recognition accuracy of the human pose estimation model after addressing network degradation issues with the deep residual network. We preprocess the collected pose images to extract human wushu pose features from both static and dynamic directions. The feature data is inputted to the encoder to extract martial arts poses. Simulation experiments verify the error correlation between two-dimensional martial arts movements and three-dimensional angles. In the backside horse stance punch movement, the 7th frame of the left knee and right knee, the 3rd frame of the left hip, and the 1st, 2nd, 5th, and 7th frames of the right hip exhibit significant errors, while the remaining keyframes fall within the acceptable range. Through empirical investigation, we analyze the teaching effect of integrating Wushu and national traditional culture. Following the experiment, we observed an average score difference of 8.91 points in the degree of sports participation between the experimental group and the control group, with a P value of less than 0.01. There is a significant difference between the two integrations. The integration of the teaching effect is good.
Exploring the Design of Entrepreneurship Simulation Experimental Projects Based on Interaction Models
Authors: Jia Fengling
Published: October 2024

Entrepreneurship is one of the driving forces of economic development in the new era, but entrepreneurship is also highly risky behavior. The goal of constructing the entrepreneurial interactive decision-making model and entrepreneurial project system model is to provide a theoretical reference value for entrepreneurial teams through simulation experiments. The conceptual model of entrepreneurial team interaction decision-making is constructed based on multi-intelligence under the support of relevant theories, and the main influencing factors affecting the interaction decision-making are analyzed and the specific decision-making model is designed on the basis of this. Then, according to the ideas and principles of system dynamics, the boundary of the system is delineated, the scope of research is clarified, the structure of the system is analyzed, the levels of the system are delineated, and the feedback mechanism of the system is determined. The relationship between the system levels is analyzed, feedback loops and causality diagrams are established, and in this way, a mathematical and canonical system dynamics model is established, and finally, simulation prediction and hypothesis testing are carried out. The regression results show that there is a positive effect of mutual influence among the three variables of the interaction decision model: team initiative, team decision performance. The error between the values of this paper’s model for simulation and the actual values is less than 10%, and the improvement of entrepreneurial R&D investment and the conversion rate of scientific and technological achievements can promote the number of entrepreneurs and entrepreneurial structure to different degrees. Effective predictions of the influencing factors and development trends of entrepreneurship in the future have been made, which provides policy references for entrepreneurship to be carried out more effectively in practice.
Empirical analysis of monthly electricity consumption prediction in manufacturing industry using machine learning techniques
Authors: Shi Yan , Yang Fengjiu , Zhang Yi , Wang Siteng , Han Junjie
Published: October 2024

Electricity consumption prediction is an important part of power planning and the basis of power dispatch planning. The SVM and GBDT algorithms that were optimized by the PSO algorithm are used to build the machine learning-based electricity consumption prediction model in this paper. The decomposed and reconstructed high-frequency signals and low-frequency signals are optimized by the particle swarm algorithms SVM and GBDT for power consumption prediction, respectively. Improve the clustering performance of the traditional fuzzy C-mean algorithm for unbalanced data. The performance of the algorithms is analyzed in two different application scenarios, namely, artificial dataset and power users' real measurement dataset. Power consumption prediction in the manufacturing industry is performed. It is found that the ARI, FMI, and AMI index values of the improved algorithms proposed in this paper are 0.9543, 0.9347, and 0.9344, respectively, on the grid user-measured dataset, while the traditional DPC and K-means clustering algorithms are less effective. The machine learning algorithm optimized after wavelet decomposition increased R² by 8.98%, MAPE decreased by 19.78%, and RMSE decreased by 11.53% compared to PSO-GBDT, and the predictive evaluation indexes were all improved, and the two machine learning algorithms in this paper optimized by wavelet decomposition combined with PSO have good predictive effect R² increased from 0.801 to 0.842, and the two machine learning algorithms designed in this paper based on wavelet decomposition have good predictive effect R² increased from 0.801 to 0.842. The designed machine learning model for electricity consumption prediction based on wavelet decomposition and PSO has excellent performance, and the design expectation has been fulfilled. This paper makes a useful exploration and proposes an effective method for accurate prediction of electricity consumption in the manufacturing industry.
Exploring the Application of Image Recognition Technology in Evidence Analysis for Legal Professions
Authors: Tan Yuanyuan , Li Ying
Published: October 2024

Image recognition technology is widely used in the field of criminal investigation or in the civil field, in which fingerprint image recognition technology, as a means of verification, has a very high legal authority and plays an irreplaceable role. In this paper, image recognition technology is specifically applied to the extraction of fingerprint features from crime scenes. The proposed fingerprint image curve changes are used in the image patch recognition algorithm. By analyzing the changes in the fingerprint curve profile, the evolution law of the fingerprint curve is calculated. Then, using the discrete iteration method, the missing fingerprint image is repaired for recognition. Experiments show that the method in this paper can effectively repair the missing fingerprint image part. Despite the low recognition rate for fingerprint images of 88.1%, other quality images are correctly recognized at more than 95% and have a relatively good recognition effect. Legal practitioners are most satisfied with the accuracy of feature extraction using this technique after using it.
Construction of Digital Evaluation Model for Teacher Literacy in Colleges and Universities and Its Optimization Strategy
Authors: Yang Yu , Shi Zequn , Wang Kaiming
Published: October 2024

In this paper, by sorting out the principles followed by some scholars in constructing the evaluation index system of teacher literacy in colleges and universities, combined with the actual situation of teacher literacy in a college or university, the preliminary selection of teacher literacy evaluation indexes is made. The Delfel method must be used to screen the preliminary selection of evaluation indicators and then determine the teacher literacy evaluation index system. With the help of a hierarchical analysis algorithm, calculate the weight value of each index, formulate the evaluation factor set and comment set, and construct a fuzzy evaluation model. Adopt the model of this paper to explore the current situation of teacher literacy development. The comprehensive evaluation matrix of the three-level indicators in the teacher literacy evaluation index system of the school is 3.7519, 6.2918, 3.353, 3.407, and 3.1964. Based on the principle of maximum affiliation, the evaluation results of teacher literacy in the school are good, and at the same time, it maps out that there is a problem of teacher literacy in colleges and universities, and in order to promote the college and university teachers to have excellent literacy, it puts forward two optimization strategies, namely, teacher training and a sound appraisal mechanism. To promote the excellent quality of college teachers, two optimization strategies are proposed, namely, teacher training and sound assessment mechanisms.
A study of social media influencer marketing strategy adjustment based on big data analysis
Authors: Zhou Yuan
Published: October 2024

With the development of the Internet, social media has brought new shopping experiences to consumers, and enterprises have joined the wave of social media marketing, which has led consumers to buy their wishes through social media. This paper analyzes the reconstruction of marketing activities in terms of information dissemination, audience expansion, and community building. According to the behavior of social media users, the key indicators of media marketing include the consumer’s awareness of media marketing, consumer behavior, and how these indicators affect the willingness to buy. The article presents the direction for adjusting the social media influence marketing strategy. Marketers must take into account the comprehensive value of the affected people when selecting the influence. At the same time, the cognitive effect of social media on channel optimization is significantly affected by the elimination of costs, and optimizing channels also benefits marketing effectiveness.
Inheritance and Innovative Presentation of Canal Cultural Heritage Using VR Technology
Authors: Zhou Danyang
Published: October 2024

The use of VR technology to realize the innovative presentation of canal landscapes is an effective technical means to inherit the cultural heritage of canals. In order to improve the accuracy and efficiency of point cloud alignment in virtual modeling, this paper takes advantage of feature alignment, and the ICP algorithm to find the optimized starting position using the SAC-IA algorithm and then adopts the ICP algorithm to carry out fine alignment and on the basis of which, a virtual reality system Analysis shows that the alignment method adopted in this paper demonstrates better accuracy and efficiency than similar algorithms in both coarse and fine alignment tests. Applying the constructed virtual canal culture presentation system for knowledge education, it is found that the students in the experimental group have a better grasp of knowledge related to canal culture and learn more efficiently, and the quantitative scores of satisfaction in the four dimensions of learning method, learning efficiency, learning interest, and learning content are 4.85, 4.7, 4.7, and 4.6, which indicate that the system helps to increase people’s interest in the cultural heritage of canals.
Application and practice optimization of vibratory modes in the teaching of fundamental sight-singing and ear training
Authors: Huang Wei , Fang Hong
Published: October 2024

This paper first introduces the vibration modal analysis system and its general design, then improves the smoothing function and wavelet function transform algorithms in the system, and then determines and verifies the characteristic parameter algorithms in the structure of the improved wavelet transform vibration modal algorithms based on longitudinal waves, transverse shear waves, and bending waves in beams. The application of vibrational modes in sight-singing and ear training is examined and analyzed. The results show that the wavelet transform algorithm has the highest accuracy in calculation results. The calculation of vibration modes can be more effective using this basis. The investigation of students’ attitudes towards sight-singing and ear-training learning found that 52.3% of the students like sight-singing and ear-training learning, 40.13% and 7.37% of the students have no feeling for sight-singing and ear-training learning as well as disliking sight-singing and ear-training classes.48.68% and 37.45% of the students agree that sight-singing and ear-training training can help to improve their music literacy, and 25.79% and 56.14% of them think that Less gain in sight-singing ear training class is caused by boring teaching mode and single content. The investigation of vibrational modes in the teaching process of sight-singing and ear training found that 63.27% of the students had a better understanding of the learning process of vibrational modes; 68.59% of the students liked the teaching process of vibrational modes and the teaching method; and 70.79% of the students thought that the vibrational modes were helpful to the learning of sight-singing and ear training.
Course evaluation of preschoolhygiene under the multimodal learning model
Authors: Wang Chengcheng
Published: October 2024

In traditional learning situations, teachers mainly evaluate students’ behavioral changes, emotional changes, and interactions to ensure teaching quality. The Random Forest algorithm is employed in this paper to determine the characteristics of students’ body postures and observe their behavioral changes. The geometric analysis method is used to recognize students’ head posture, and the image test classification module is used to capture students’ facial expressions. Analyze the teacher-student learning interactions in the classroom by examining the student’s question-answering records from the interactive cloud platform. A multimodal information fusion model was constructed to combine students’ multimodal performance data to complete the evaluation of the preschool hygiene course. The results of the case study of five students showed that the fusion results of the ratings of students 1-5 under the multimodal information fusion model of the course evaluation were 0.56, 0.888, 0.083, 0.452, and 0.957, respectively. The results of the fusion of the ratings of students 2 and 5 were very serious in learning the course, and the percentage of their time spent in attentive behavior was 0.452. Student 2 and Student 5 studied the course very seriously, spent 90% and 89% of their time engaged in attentive behaviors, respectively, and maintained an emotion of interest for 66% and 70% of the time, respectively. Furthermore, Student 2 answered all the questions in the interactive session, while Student 5 answered all the questions correctly. The median integration rating of the 40 participating students was 0.706, and the majority of the students rated the integration of the course in the middle to high range, which means that the content and format of this pre-school hygiene course were excellent and stimulating for the students.
A clinical case of surgical correction of left ventricular outflow tract obstruction in a patient with hypertrophic cardiomyopathy and SAM syndrome
Authors: Petrova P. V. , Novikova T. N. , Kuznetsov K. V. , Garpinchenko T. V. , Andreeva A. E. , Gladysheva K. A.
Published: October 2024

The article describes a case of successful surgical correction of left ventricular outflow tract obstruction in a patient with hypertrophic cardiomyopathy.
ANALISIS KNOWLEDGE SHARING DALAM INOVASI BISNIS UNTUK MENINGKATKAN KINERJA USAHA MIKRO KABUPATEN CIANJUR MENGGUNAKAN PARTIAL LEAST SQUARE
Authors: Fauzi Moch Restu , Putro Bramantiyo Eko
Published: October 2024

The Cianjur Diskoperindagin recorded that 2,715 new MSMEs had emerged. However, Cianjur micro businesses experienced a significant decline in sales, making it difficult to design and implement marketing strategies. Therefore, micro businesses are required to produce quality, competitive products that have high competitiveness and to continue to innovate in terms of product development and sales. This research seeks to analyze the effectiveness of micro-enterprise knowledge sharing through business innovation. Research data was obtained by distributing questionnaires to 140 micro business actors in Cianjur. Data and conceptual models were tested using the PLS-SEM method with the help of SmartPLS4 software. The research results show that the tacit knowledge sharing variable is explained by the variables trust, organizational structure and employee attitudes with a variance value of (10%). Meanwhile, the explicit knowledge sharing variable can be explained by the variables trust, organizational culture, employee attitudes and motivation methods with a variance of (20%). The quality of innovation in this research can be explained by explicit and tacit knowledge sharing with a variance value (12%). This is different from the speed of innovation which can only be explained by tacit knowledge sharing with a variance of (11%). This research also shows that the operational and financial performance of micro businesses in Cianjur can only be explained by the speed of innovation variable.
ANALYSIS OF CONSUMER BEHAVIOR IN SHOPPING CHANNEL PREFERENCES IN A DUAL CHANNEL SUPPLY CHAIN STRUCTURE
Authors: Novawanda Olyvia , Indah Andi Besse Riyani
Published: October 2024

Physical stores and online stores are one way that companies can continue to survive amidst competition by increasing profits from these two channels. Clothing is one of the textile commodities that is widely traded through physical stores and also online stores. This research identifies the factors that have the most significant influence on consumer preferences in choosing physical stores or online stores. Determining the factors involved adopts the results of previously conducted research. Based on existing research, there are several factors, namely Financial Risk (FR), Performance Risk (PerR), Psychological Risk (PsyR), Perceived Risk (PR), Environment Quality (EQ), Service Quality (SQ), Internet Experience (IE ), and Switching Intention (SI). From these variables, 8 hypotheses were formed. All hypotheses from the model were processed using Structural Equation Modeling with SmartPLS 3 software, it was found that H1, H2, H3, H4, H5, and H7 were accepted. H6 and H8 are rejected.
PERANCANGAN SISTEM ENTERPRISE RESOURCE PLANNING (ERP) TERHADAP PENGADAAN BAHAN BAKU, PENJUALAN, DAN PRODUKSI PADA CV. JAYA LOGAM MENGGUNAKAN SOFTWARE ODOO
Authors: Resviani Devi , Sulaksono Agus
Published: October 2024

CV. Jaya Logam faced various operational challenges caused by ineffective sales and raw material inventory recording systems, leading to production delays, errors in information delivery, and difficulties in monitoring and decision-making. This research was conducted to address these issues through system needs analysis, design, and testing of an Enterprise Resource Planning (ERP) system using Odoo software. The methodological process involved a detailed analysis of system requirements, system design using Unified Modelling Language (UML) diagrams to visualize the system architecture, and system testing using the Black Box Testing method to ensure the reliability and effectiveness of the designed system. The testing results showed that the developed ERP system successfully met all 12 test class parameters, indicating that the system is valid and can be implemented effectively. The implementation of this ERP system at CV. Jaya Logam resulted in significant improvements in operational efficiency and data accuracy, better business process integration, and the provision of real-time information that supports faster and more accurate decision-making processes.
Antecedents - Consequences Of Innovation Culture In Family Firms
Authors: Antonius Singgih Setiawan  , Delfi Panjaitan
Published: October 2024

This research aims to see how innovation culture is essential for a business organisation. However, more than a culture of innovation needs to look only at the trigger aspect, it also needs to look at the impact that will be created. Therefore, this research will explain the relationship between entrepreneurs and business characteristics in the context of the ability to see opportunities and improve in creating an innovation culture and the impact of innovation culture on achieving business continuity. Using a sample of 147 (98 per cent) entrepreneur respondents in Palembang, the research hypothesis was tested using structural equation modelling (SEM) and partial least squares (PLS) analysis with Warp PLS version 5.0 software. The results conclude that the entrepreneur's characteristics, the ability to see opportunities, and the ability to improvise positively affect company innovation culture, and innovation culture positively affects business continuity in family firms in Palembang.
Evaluation of the Activity of Olibanum Oil as an Immune Booster in Rats
Authors: Gharb Lamiaa A. , Ismael May K. , Qaddoori Yasir B.
Published: October 2024

The applications of herbal medicine have recently acquired growing interest in range of the prophylaxis and treatment of diseases. Olibanum has been used since ancient eras and several reports studied the pharmacological characteristics of boswellic acid, particularly their effect on the inflammatory response, analgesic properties, and anti-arthritic activity mostly in cell lines, but new approaches include animal models to assess these natural derivatives effects taking into consideration of being safer than synthetic preparations.  The impact of olibanum oil on several parameters was studied in rats during this study. These included white blood cell (WBC) count, lactate dehydrogenase (LDH), and C reactive protein (CRP), as well as other pro-inflammatory cytokines like tumor necrosis factor alpha (TNF-α) and interleukin 6 (IL-6), and the cytokine interleukin -10 (IL-10) that is anti-inflammatory. Total WBCs in addition to IL-10 levels significantly increased in the oil-treated group in comparison with the control one, while the rats treated with olibanum oil revealed a significant reduced level of LDH, CRP, IL-6 and TNF- α compared with the controls (p < 0.05). These outcomes indicate that olibanum oil treatment are manifested by cytokine changes, it can improve the anti-inflammatory response and down-regulate the pro-inflammatory cytokines. So, the promising impact of olibanum oils as an immunomodulator could be used in alternative therapies.
Molecular Diagnosis of Vaginal Microbiota Associated with Spontaneous Abortion in Women
Authors: Al-Hajjar Enas Lateef Noor , Al-Bermani Oruba K. , Witwit Suha J
Published: October 2024

Spontaneous abortion (SA) is a sever disease in which a women losses her foetus usually before 24 weeks of the pregnancy. About 10% -50% of pregnancy cases are run out with SA for reasons related with women's age and health. This condition occurrence may increases if the patient has a history of bacterial vaginosis. This study aimed at the characterization and isolation of vaginal microbiota generally and highlight on commensal bacteria becoming opportunistic when circumstances are favourable. From October to December 2022, about 100 samples were collected, 50 specimens from women with SA and 50 specimens from healthy pregnant outcomes (control). The high vaginal swabs samples were collected from Babylon Teaching Hospital for Maternity and Children and Imam Sadiq Teaching Hospital in Babylon, Iraq. To culture the samples, they were transported by media swab to laboratory. The culture of bacteria was done on 4 types of agar media: UTI chromogenic agar, MRS agar, MacConkey agar and blood agar. The first identification of bacteria was based on phenotypic traits of colonies, using manual biochemical tests and gram stain. Finally, the diagnosis was confirmed genetically by extracting bacterial genomic DNA for 20 of bacterial isolates under study and using PCR technique for 16S rRNA Loci gene and sequencing. The current study results showed difference in bacterial genera in women with SA compared with healthy women. It was also noted that embroilment of Enterococcus faecalis occurred in most cases of SA with an estimated percentage of 56% (28/50), thus defeating Escherichia coli by 32% (16/50) and 4% (2/50) for Klebsiella pneumonia and 4% (2/50) for Enterococcus gallinarum. In this study, some very rare bacteria species were identified including Acinetobacter junii at 2% (1/50) and Corynebacterium coyleae at 2% (1/50). While the percentage of bacteria associated with healthy women was: 30% (15/50) for E. faecalis, 26% (13/50) for E. coli, 18% (9/50) for K. pneumonia, 24% (12/50) for Staphylococcus epidermidis, and 2% (1/50) for Metabacillus niabensis (which was diagnosed for the first time in Iraq as well as the rest of the world in a clinical sample).
Micro structures, Morphology and Optical Properties of Sb2O3: WO3, In2O3 Nanostructure Composite Thin Films
Authors: Tareq Mohammed I. , Hasan Bushra A.
Published: October 2024

This work is concerned with the synthesis of two types of composites thin films (Sb2O3:WO3 and (Sb2O3:In2O3) with different concentrations (0.0,0.05,0.1, and 0.15). The prepared thin films are characterized with the use of the X-ray diffraction atomic force microscope AFM and UV-Vis–infrared spectrophotometer. The structural examination shows that both composite's thin films were polycrystalline with nano size with cubic phase as majority and orthorhombic phase as minority phase. The crystal size decreases from 34.6 to 24.7 and 21.7 nm for (Sb2O3:WO3) and (Sb2O3:In2O3) thin films, respectively. The average roughness shows non-regular growth by increasing the concentration of both oxides. The optical energy band gap shows a red shift for both types of nanostructure thin films, which populate these composited thin films for solar cell applications.
A New Structure of Random Approach Normed Space via Banach Space
Authors: Kream Alaa A. , Hussein Boushra Y.
Published: October 2024

The goal of this research is to define the convergent sequence in A-random approach space and sequentially convergent are discussed and the cluster point, open and closed ball and linear transformation. We are going to explain a new structure of Random approach normed space via Banach space in and discussed all the relations between metric space in this research.
Enhancing Blockchain Security by Developing the SHA256 Algorithm
Authors: Salih Raghad K. , Kashmar Ali H.
Published: October 2024

Security plays a vital role in various domains, including blockchain technology. The Blockchain serves as a secure data structure for storing transactional records. Hash functions are employed in cryptography to ensure integrity and authentication within the blockchain. The widely used SHA256 algorithm has faced recent attacks, prompting the development of stronger hash functions. This paper presents a novel modification approach to enhance the performance of SHA256 by introducing an extended mechanism for generating a 288-bit message digest and reducing the number of rounds to 44 instead of 64 while preserving the diffusion of data through its complex iterative process, which involves multiple rounds of bitwise and logical operations. The change makes sure that even small changes to the input data cause noticeable variations in the output hash, thereby maintaining cryptographic properties. The suggested hash function SHA288 achieves improved security, collision resistance, and preimage resistance, while maintaining a faster execution time compared to SHA256. The tables and tests conducted on the suggested algorithm have revealed its remarkable safety and robustness in countering attacks as well as demonstrated outstanding performance in random tests, which further enhances its security measures.
Image Encryption Using High-Speed Scrambling and ‎Modular Arithmetic
Authors: Saleh Worud M. , Taha Mustafa H. , Mohammad Riyadh J.
Published: October 2024

With the enormous growth and advancement of the computer industry, it is critically necessary to transmit a large amount of encrypted multimedia data to prevent third parties from attacking one's privacy or misbehaving. This study proposes a new encryption strategy for preserving original images. It is highly effective and has been shown to be resilient against impulsive noise and loss of data. At first, some random data is entered within the perimeter of the image. Then, three rounds of high-speed scrambling and adaptive diffusion for pixels are carried out to mix the contiguous pixels at random and distribute the newly placed data throughout the image. The suggested encryption method can be used to encrypt original images in any form of representation directly. We offer a particular operation to carry out adaptive diffusion for pixel modulo arithmetic. The results of encryption are evaluated using the histogram, which shows a near-zero correlation with a Number of Pixel Change Rate (NPCR) of 099.624, a Unified Average Change Intensity (UACI) of 033.577, and an average entropy of 7.9993. The proposed method can accomplish much better speed and adapt better to impulse noise and loss of data interference than several conventional and cutting-edge encryption methods.